Author: "Ha, H." / Publication Type: Electronic Resources - Searchworks@Jio Institute Digital Library Search Results

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122 results on '"Ha, H."'

1. Axonal endoplasmic reticulum tubules control local translation via P180/RRBP1-mediated ribosome interactions

Author: Koppers, Max, Özkan, Nazmiye, Nguyen, Ha H., Jurriens, Daphne, McCaughey, Janine, Nguyen, Dan T.M., Li, Chun Hei, Stucchi, Riccardo, Altelaar, Maarten, MacGillavry, Harold D., Kapitein, Lukas C., Hoogenraad, Casper C., Farías, Ginny G., Koppers, Max, Özkan, Nazmiye, Nguyen, Ha H., Jurriens, Daphne, McCaughey, Janine, Nguyen, Dan T.M., Li, Chun Hei, Stucchi, Riccardo, Altelaar, Maarten, MacGillavry, Harold D., Kapitein, Lukas C., Hoogenraad, Casper C., and Farías, Ginny G.
Abstract: Local mRNA translation in axons is critical for the spatiotemporal regulation of the axonal proteome. A wide variety of mRNAs are localized and translated in axons; however, how protein synthesis is regulated at specific subcellular sites in axons remains unclear. Here, we establish that the axonal endoplasmic reticulum (ER) supports axonal translation in developing rat hippocampal cultured neurons. Axonal ER tubule disruption impairs local translation and ribosome distribution. Using nanoscale resolution imaging, we find that ribosomes make frequent contacts with axonal ER tubules in a translation-dependent manner and are influenced by specific extrinsic cues. We identify P180/RRBP1 as an axonally distributed ribosome receptor that regulates local translation and binds to mRNAs enriched for axonal membrane proteins. Importantly, the impairment of axonal ER-ribosome interactions causes defects in axon morphology. Our results establish a role for the axonal ER in dynamically localizing mRNA translation, which is important for proper neuron development.
Published: 2024

2. Improved Soft-k-Means Clustering Algorithm for Balancing Energy Consumption in Wireless Sensor Networks

Author: Zhu, Botao, Bedeer, Ebrahim, Nguyen, Ha H., Barton, Robert, Henry, Jerome, Zhu, Botao, Bedeer, Ebrahim, Nguyen, Ha H., Barton, Robert, and Henry, Jerome
Abstract: Energy load balancing is an essential issue in designing wireless sensor networks (WSNs). Clustering techniques are utilized as energy-efficient methods to balance the network energy and prolong its lifetime. In this paper, we propose an improved soft-k-means (IS-k-means) clustering algorithm to balance the energy consumption of nodes in WSNs. First, we use the idea of ``clustering by fast search and find of density peaks'' (CFSFDP) and kernel density estimation (KDE) to improve the selection of the initial cluster centers of the soft k-means clustering algorithm. Then, we utilize the flexibility of the soft-k-means and reassign member nodes considering their membership probabilities at the boundary of clusters to balance the number of nodes per cluster. Furthermore, the concept of multi-cluster heads is employed to balance the energy consumption within clusters. {Extensive simulation results under different network scenarios demonstrate that for small-scale WSNs with single-hop transmission}, the proposed algorithm can postpone the first node death, the half of nodes death, and the last node death on average when compared to various clustering algorithms from the literature.
Published: 2024
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3. Machine-learning-powered extraction of molecular diffusivity from single-molecule images for super-resolution mapping.

Author: Park, Ha H, Park, Ha H, Wang, Bowen, Moon, Suhong, Jepson, Tyler, Xu, Ke, Park, Ha H, Park, Ha H, Wang, Bowen, Moon, Suhong, Jepson, Tyler, and Xu, Ke
Abstract: While critical to biological processes, molecular diffusion is difficult to quantify, and spatial mapping of local diffusivity is even more challenging. Here we report a machine-learning-enabled approach, pixels-to-diffusivity (Pix2D), to directly extract the diffusion coefficient D from single-molecule images, and consequently enable super-resolved D spatial mapping. Working with single-molecule images recorded at a fixed framerate under typical single-molecule localization microscopy (SMLM) conditions, Pix2D exploits the often undesired yet evident motion blur, i.e., the convolution of single-molecule motion trajectory during the frame recording time with the diffraction-limited point spread function (PSF) of the microscope. Whereas the stochastic nature of diffusion imprints diverse diffusion trajectories to different molecules diffusing at the same given D, we construct a convolutional neural network (CNN) model that takes a stack of single-molecule images as the input and evaluates a D-value as the output. We thus validate robust D evaluation and spatial mapping with simulated data, and with experimental data successfully characterize D differences for supported lipid bilayers of different compositions and resolve gel and fluidic phases at the nanoscale.
Published: 2023

4. A qualitative exploration of health student perspectives of rural and remote placements during the early stages of the COVID-19 pandemic

Author: Sheepway, L, Jessup, B, Podubinski, T, Heaney, S, Bailie, J, Ha, H, Bourke, L, Sheepway, L, Jessup, B, Podubinski, T, Heaney, S, Bailie, J, Ha, H, and Bourke, L
Abstract: Objective: To explore health student perspectives of rural and remote placements during the early stages of the COVID-19 pandemic. Setting: Australia. Participants: Allied health, nursing and medical students with a planned rural or remote placement between February and October 2020. Design: Semi-structured interviews (n = 29) with data thematically analysed. Results: Five main themes emerged from student experiences: (1) ‘Do we go? Don't we go? Like how much risk is involved?’ related to student concerns regarding acquiring and transmitting COVID-19 on placement; (2) ‘We are sort of just standing at the door trying to watch’ encompassed student perceptions of missed clinical learning opportunities in response to health and safety measures related to COVID-19; (3) ‘I, as a student, sort of fell under the radar’ related to student perceptions of suboptimal supervision; (4) ‘It was a bit more difficult to engage with that wider community’ recognised student feelings of social disconnection and their lack of opportunity for community immersion; and (5) ‘We felt like we got something that is more than we expected’ emerged from student reflections on training during the pandemic and alternative placements (virtual, simulated and non-clinical) that exceeded expectations for learning. Conclusions: Although most students were willing and able to undertake their rural or remote placement in some form during the early stages of the pandemic and identified unanticipated learning benefits, students recognised lost opportunities to build clinical skills, become culturally aware and connect with rural communities. It remains unknown how these rural and remote placement experiences will impact rural intention and in turn, rural workforce development.
Published: 2023

5. Design and Detection of Unitary Constellations in Non-Coherent SIMO Systems for Short Packet Communications

Author: Duong, Son T., Nguyen, Ha H., Bedeer, Ebrahim, Barton, Robert, Duong, Son T., Nguyen, Ha H., Bedeer, Ebrahim, and Barton, Robert
Abstract: This paper proposes a novel design of multi-symbol unitary constellation for non-coherent single-input multiple-output (SIMO) communications over block Rayleigh fading channels. To facilitate the design and the detection of large unitary constellations at reduced complexity, the proposed constellations are constructed as the Cartesian product of independent amplitude and phase-shift-keying (PSK) vectors, and hence, can be iteratively detected. The amplitude vector is detected by exhaustive search, whose complexity is sufficiently low in short packet transmission scenarios. To detect the PSK vector, we use the posterior probability as a reliability criterion in the sorted decision-feedback differential detection (sort-DFDD), which results in near-optimal error performance for PSK symbols with equal modulation orders. This detector is called posteriori-based-reliability-sort-DFDD (PR-sort-DFDD) and has polynomial complexity. We also propose an improved detector called improved-PR-sort-DFDD to detect a more generalized PSK structure, i.e., PSK symbols with unequal modulation orders. This detector also approaches the optimal error performance with polynomial complexity. Simulation results show the merits of our proposed multi-symbol unitary constellation when compared to competing low-complexity unitary constellations., Comment: 13 pages, 10 figures, in preparation to submit to IEEE Transactions on Wireless Communications
Published: 2023

6. UAV Trajectory Planning for AoI-Minimal Data Collection in UAV-Aided IoT Networks by Transformer

Author: Zhu, Botao, Bedeer, Ebrahim, Nguyen, Ha H., Barton, Robert, Gao, Zhen, Zhu, Botao, Bedeer, Ebrahim, Nguyen, Ha H., Barton, Robert, and Gao, Zhen
Abstract: Maintaining freshness of data collection in Internet-of-Things (IoT) networks has attracted increasing attention. By taking into account age-of-information (AoI), we investigate the trajectory planning problem of an unmanned aerial vehicle (UAV) that is used to aid a cluster-based IoT network. An optimization problem is formulated to minimize the total AoI of the collected data by the UAV from the ground IoT network. Since the total AoI of the IoT network depends on the flight time of the UAV and the data collection time at hovering points, we jointly optimize the selection of hovering points and the visiting order to these points. We exploit the state-of-the-art transformer and the weighted A*, which is a path search algorithm, to design a machine learning algorithm to solve the formulated problem. The whole UAV-IoT system is fed into the encoder network of the proposed algorithm, and the algorithm's decoder network outputs the visiting order to ground clusters. Then, the weighted A* is used to find the hovering point for each cluster in the ground IoT network. Simulation results show that the trained model by the proposed algorithm has a good generalization ability to generate solutions for IoT networks with different numbers of ground clusters, without the need to retrain the model. Furthermore, results show that our proposed algorithm can find better UAV trajectories with the minimum total AoI when compared to other algorithms.
Published: 2023
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7. Bit-Interleaved Coded Energy-Based Modulation with Iterative Decoding

Author: Fazeli, Ali, Nguyen, Ha H., Yanikomeroglu, Halim, Fazeli, Ali, Nguyen, Ha H., and Yanikomeroglu, Halim
Abstract: This paper develops a low-complexity near-optimal non-coherent receiver for a multi-level energy-based coded modulation system. Inspired by the turbo processing principle, we incorporate the fundamentals of bit-interleaved coded modulation with iterative decoding (BICM-ID) into the proposed receiver design. The resulting system is called bit-interleaved coded energy-based modulation with iterative decoding (BICEM-ID) and its error performance is analytically studied. Specifically, we derive upper bounds on the average pairwise error probability (PEP) of the non-coherent BICEM-ID system in the feedback-free (FF) and error-free feedback (EFF) scenarios. It is revealed that the definition of the nearest neighbors, which is important in the performance analysis in the FF scenario, is very different from that in the coherent BICM-ID counterpart. The analysis also reveals how the mapping from coded bits to energy levels influences the diversity order and coding gain of the BICEM-ID systems. A design criterion for good mappings is then formulated and an algorithm is proposed to find a set of best mappings for BICEM-ID. Finally, simulation results corroborate the main analytical findings.
Published: 2022

8. Multi-level Design for Multiple-Symbol Non-Coherent Unitary Constellations for Massive SIMO Systems

Author: Duong, Son T., Nguyen, Ha H., Bedeer, Ebrahim, Duong, Son T., Nguyen, Ha H., and Bedeer, Ebrahim
Abstract: This paper investigates non-coherent detection of single-input multiple-output (SIMO) systems over block Rayleigh fading channels. Using the Kullback-Leibler divergence as the design criterion, we formulate a multiple-symbol constellation optimization problem, which turns out to have high computational complexity to construct and detect. We exploit the structure of the formulated problem and decouple it into a unitary constellation design and a multi-level design. The proposed multi-level design has low complexity in both construction and detection. Simulation results show that our multi-level design has better performance than traditional pilot-based schemes and other existing low-complexity multi-level designs., Comment: 5 pages, 3 figures, submitted to IEEE Wireless Communications Letters
Published: 2022

9. A First Course in Digital Communications

Author: Nguyen, Ha H. and Shwedyk, Ed
Published: 2009
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10. Moving the ER tip by tip

Author: Nguyen, Ha H., Farías, Ginny G., Nguyen, Ha H., and Farías, Ginny G.
Abstract: Endoplasmic reticulum (ER) and microtubule (MT) interactions have been observed in different cell types. However, how these interactions are regulated remains unknown. In this issue of Developmental Cell, Nourbakhsh et al. show that an ER-localized kinase, TAOK2, catalyzes the dynamic tethering of the ER tip to the MT tip.
Published: 2021

11. Numerical investigation of the mechanism of granular flow impact on rigid control structures

Author: Yang, Edward, Bui, Ha H., Nguyen, Giang D., Choi, Clarence Edward, Ng, Charles Wang Wai, De Sterck, Hans, Bouazza, Abdelmalek, Yang, Edward, Bui, Ha H., Nguyen, Giang D., Choi, Clarence Edward, Ng, Charles Wang Wai, De Sterck, Hans, and Bouazza, Abdelmalek
Abstract: Baffles and check-dam systems are often used as granular flow (rock avalanches, debris flows, etc.) control structures in regions prone to dangerous geological hazards leading to massive landslides. This paper explores the use of numerical modelling to simulate large volume granular flow and the effect of the presence of baffles and check dam systems on granular flow. In particular, the paper offers a solution based on the smoothed particle hydrodynamics numerical method, combined with a modified Bingham model with Mohr–Coulomb yield stress for granular flows. This method is parallelised at a large scale to perform high-resolution simulations of sand flowing down an inclined flume, obstructed by rigid control structures. We found that to maximise the flow deceleration ability of baffle arrays, the design of baffle height ought to reach a minimum critical value, which can be quantified from the flow depth without baffles (e.g. 2.7 times for frictional flows with friction angle of 27.5°). Also, the check-dam system was found to minimise run-out distances more effectively but experiences substantially higher forces compared to baffles. Finally, flow-control structures that resulted in lower run-out distances were associated with lower total energy dissipation, but faster kinetic energy dissipation in the granular flows; as well as lower downstream peak flow rates. © 2021, The Author(s), under exclusive licence to Springer-Verlag GmbH, DE part of Springer Nature.
Published: 2021

12. Moving the ER tip by tip

Author: Sub Cell Biology, Celbiologie, Nguyen, Ha H., Farías, Ginny G., Sub Cell Biology, Celbiologie, Nguyen, Ha H., and Farías, Ginny G.
Published: 2021

13. The structure of low-lying 1(-) states in Zr-90,Zr-94 from (alpha, alpha 'gamma) and (p, p 'gamma) reactions

Author: Crespi, F. C. L., Bracco, A., Lanza, E. G., Tamii, A., Blasi, N., Camera, F., Wieland, O., Aoi, N., Balabanski, D. L., Bassauer, S., Brown, A. S., Carpenter, M. P., Carroll, J. J., Ciemata, M., Czeszumska, A., Davies, P. J., Derya, V., Donaldson, L. M., Fang, Y. D., Fujita, H., Gey, G., Ha, H. T., Harakeh, M. N., Hashimoto, T., Ichige, N., Ideguchi, E., Inoue, A., Isaak, J., Iwamoto, C., Jenkins, D. G., Klaus, T., Kobayashi, N., Koike, T., Krzysiek, M., Raju, M. K., Liu, M., Maj, A., Morris, L., Cosel, P. von Neumann, Noji, S., Ong, H. J., Pickstone, S. G., Pietralla, N., Savran, D., Schmitt, J. M., Spieker, M., Steinhilber, G., Sullivan, C., Wasilewska, B., Weinert, M., Werner, V., Yamamoto, Y., Yamamoto, T., Zegers, R. G. T., Zhou, X., Zhu, S., Zilges, A., Crespi, F. C. L., Bracco, A., Lanza, E. G., Tamii, A., Blasi, N., Camera, F., Wieland, O., Aoi, N., Balabanski, D. L., Bassauer, S., Brown, A. S., Carpenter, M. P., Carroll, J. J., Ciemata, M., Czeszumska, A., Davies, P. J., Derya, V., Donaldson, L. M., Fang, Y. D., Fujita, H., Gey, G., Ha, H. T., Harakeh, M. N., Hashimoto, T., Ichige, N., Ideguchi, E., Inoue, A., Isaak, J., Iwamoto, C., Jenkins, D. G., Klaus, T., Kobayashi, N., Koike, T., Krzysiek, M., Raju, M. K., Liu, M., Maj, A., Morris, L., Cosel, P. von Neumann, Noji, S., Ong, H. J., Pickstone, S. G., Pietralla, N., Savran, D., Schmitt, J. M., Spieker, M., Steinhilber, G., Sullivan, C., Wasilewska, B., Weinert, M., Werner, V., Yamamoto, Y., Yamamoto, T., Zegers, R. G. T., Zhou, X., Zhu, S., and Zilges, A.
Abstract: The low-lying dipole strength in the Zr-90,Zr-94 nuclei was investigated via (p, p'gamma) at 80 MeV and (alpha, alpha'gamma) at 130 MeV. The experiments, made at RCNP, used the magnetic spectrometer Grand Raiden for the scattered particles and the array CAGRA with HPGe detectors for the gamma-decay. For Zr-94 these are the first data for both reactions and for Zr-90 these are the first data with (p, p'gamma) and the first ones at high resolution for (alpha, alpha'gamma). The comparison of the present results for the two nuclei with existing (gamma, gamma') data shows that both nuclear probes produce an excitation pattern different than that of the electromagnetic probes. DWBA calculations were made using form factors deduced from transition densities, based on RPA calculations, characterized by a strong neutron component at the nuclear surface. A combined analysis of the two reactions was performed for the first time to investigate the isoscalar character of the 1(-) states in Zr-90,Zr-94. The (p, p'gamma) cross section was calculated using values for the isoscalar electric dipole energy-weighted sum rule (E1 ISEWSR) obtained from the (alpha, alpha'gamma) data. The isoscalar strength for Zr-90 was found to exhaust 20 +/- 2.5% of the EWSR in the energy range up to 12 MeV. In case of Zr-94, a strength of 9 +/- 1.1% of the EWSR was found in the range up to 8.5 MeV. Although an overall general description was obtained in the studied energy intervals, not all proton cross sections were well reproduced using the isoscalar strength from (alpha, alpha'gamma). This might suggest mixing of isoscalar and isovector components and that this mixing and the degree of collectivity are not the same for all the 1(-) states below the particle binding energy. (C) 2021 The Authors. Published by Elsevier B.V.
Published: 2021

14. Enhancing the inherent catalytic activity and stability of TiO2 supported Pt single-atoms at CeOx-TiO2 interfaces†

Author: Yoo, M, Yoo, M, Kang, E, Choi, H, Ha, H, Choi, JS, Lee, KS, Celestre, R, Shapiro, DA, Park, JY, Kim, C, Yu, YS, Kim, HY, Yoo, M, Yoo, M, Kang, E, Choi, H, Ha, H, Choi, JS, Lee, KS, Celestre, R, Shapiro, DA, Park, JY, Kim, C, Yu, YS, and Kim, HY
Abstract: Single-atoms (SAs) with atomically coordinated reaction centers are considered the next generation of catalysts that can exhibit exceptional catalytic efficiency. However, the general concern about thermodynamic vulnerabilities of SAs questions their practical value. Moreover, whether the inherent catalytic nature of SAs is superior compared with that of larger nanoparticles is still under debate. Here, we address two controversies by a comparative study using two catalysts: Pt/TiO2 and Pt/CeOx-TiO2. Based on a hierarchical study of density functional theory, time-resolved catalysis performance test, in situ infrared spectroscopy, and operando X-ray absorption spectroscopy, we could unveil the catalytic nature of Pt-SAs and their stability. By utilizing the heterogeneous interface formed between TiO2 supporting particles and CeOx clusters formed on the surface of TiO2, we preferentially synthesized Pt-SAs pinned at the CeOx-TiO2 interfaces on CeOx-TiO2 hybrid-oxide supports. The strong electronic coupling between the Pt-SAs and the Ce ions at the CeOx-TiO2 interfaces enhanced the catalytic activity toward CO oxidation of Pt-SAs and improved the long-term stability under CO oxidation conditions. The CO oxidation activity of Pt-SAs stabilized at CeOx-TiO2 was improved by 13.5 times at 200 °C compared with the Pt-SAs on TiO2. The results present how to easily improve the activity and stability of Pt-SAs using a simple interface control method. Moreover, we demonstrate that the catalytic activity and the stability of Pt-SAs can be monitored through the chemical state of the interfaces. Our study provides comprehensive understanding about the catalytic nature as well as a novel strategy toward applications of Pt-SAs, enabling sustainable use of Pt in heterogeneous catalysts.
Published: 2021

15. Colossal angular magnetoresistance in ferrimagnetic nodal-line semiconductors

Author: Seo, J., De, C., Ha, H., Lee, J. E., Park, S., Park, J., Scurschii, I., Choi, E. S., Kim, B., Cho, G. Y., Yeom, H. W., Cheong, S.-W., Kim, J. H., Yang, B.-J., Kim, K., Kim, J. S., Seo, J., De, C., Ha, H., Lee, J. E., Park, S., Park, J., Scurschii, I., Choi, E. S., Kim, B., Cho, G. Y., Yeom, H. W., Cheong, S.-W., Kim, J. H., Yang, B.-J., Kim, K., and Kim, J. S.
Abstract: Efcient magnetic control of electronic conduction is at the heart of spintronic functionality for memory and logic applications. Magnets with topological band crossings serve as a good material platform for such control, because their topological band degeneracy can be readily tuned by spin confgurations, dramatically modulating electronic conduction. Here we propose that the topological nodal-line degeneracy of spin-polarized bands in magnetic semiconductors induces an extremely large angular response of magnetotransport. Taking a layered ferrimagnet, Mn3Si2Te6, and its derived compounds as a model system, we show that the topological band degeneracy, driven by chiral molecular orbital states, is lifted depending on spin orientation, which leads to a metal–insulator transition in the same ferrimagnetic phase. The resulting variation of angular magnetoresistance with rotating magnetization exceeds a trillion per cent per radian, which we call colossal angular magnetoresistance. Our fndings demonstrate that magnetic nodal-line semiconductors are a promising platform for realizing extremely sensitive spin- and orbital-dependent functionalities.
Published: 2021

16. RIS-Aided Cell-Free Massive MIMO Systems: Joint Design of Transmit Beamforming and Phase Shifts

Author: Jin, Si-Nian, Yue, Dian-Wu, Nguyen, Ha H., Jin, Si-Nian, Yue, Dian-Wu, and Nguyen, Ha H.
Abstract: This paper studies RIS-aided cell-free massive MIMO systems, where multiple RISs are deployed to assist the communication between multiple access points (APs) and multiple users, with either continuous or discrete phase shifts at the RISs. We formulate the max-min fairness problem that maximizes the minimum achievable rate among all users by jointly optimizing the transmit beamforming at active APs and the phase shifts at passive RISs, subject to power constraints at the APs. To address such a challenging problem, we first study the special single-user scenario and propose an algorithm that can transform the optimization problem into semidefinite program (SDP) or integer linear program (ILP) for the cases of continuous and discrete phase shifts, respectively. By solving the resulting SDP and ILP, we first obtain the optimal phase shifts, and then design the optimal transmit beamforming accordingly. To solve the optimization problem for the multi-user scenario and continuous phase shifts at RISs, we extend the single-user algorithm and propose an alternating optimization algorithm, which can first decompose the max-min fairness problem into two subproblems related to transmit beamforming and phase shifts, and then transform the two subproblems into second-order-cone program and SDP, respectively. For the multi-user scenario and discrete phase shifts, the max-min fairness problem is shown to be a mixed-integer non-linear program (MINLP). To tackle it, we design a ZF-based successive refinement algorithm, which can find a suboptimal transmit beamforming and phase shifts by means of alternating optimization. Numerical results show that compared with benchmark schemes of random phase shifts and without using RISs, the proposed algorithms can significantly increase the minimum achievable rate among all users, especially when the number of reflecting elements at each RIS is large., Comment: 13 pages, 10 figures. Submitted to IEEE for possible publication
Published: 2021

17. Joint Cluster Head Selection and Trajectory Planning in UAV-Aided IoT Networks by Reinforcement Learning with Sequential Model

Author: Zhu, Botao, Bedeer, Ebrahim, Nguyen, Ha H., Barton, Robert, Henry, Jerome, Zhu, Botao, Bedeer, Ebrahim, Nguyen, Ha H., Barton, Robert, and Henry, Jerome
Abstract: Employing unmanned aerial vehicles (UAVs) has attracted growing interests and emerged as the state-of-the-art technology for data collection in Internet-of-Things (IoT) networks. In this paper, with the objective of minimizing the total energy consumption of the UAV-IoT system, we formulate the problem of jointly designing the UAV's trajectory and selecting cluster heads in the IoT network as a constrained combinatorial optimization problem which is classified as NP-hard and challenging to solve. We propose a novel deep reinforcement learning (DRL) with a sequential model strategy that can effectively learn the policy represented by a sequence-to-sequence neural network for the UAV's trajectory design in an unsupervised manner. Through extensive simulations, the obtained results show that the proposed DRL method can find the UAV's trajectory that requires much less energy consumption when compared to other baseline algorithms and achieves close-to-optimal performance. In addition, simulation results show that the trained model by our proposed DRL algorithm has an excellent generalization ability to larger problem sizes without the need to retrain the model., Comment: This paper has been accepted in IEEE IoT-J
Published: 2021

18. Concurrent Transmission and Multiuser Detection of LoRa Signals

Author: Nguyen, The Khai, Nguyen, Ha H., Bedeer, Ebrahim, Nguyen, The Khai, Nguyen, Ha H., and Bedeer, Ebrahim
Abstract: This paper investigates a new model to improve the scalability of low-power long-range (LoRa) networks by allowing multiple end devices (EDs) to simultaneously communicate with multiple multi-antenna gateways on the same frequency band and using the same spreading factor. The maximum likelihood (ML) decision rule is first derived for non-coherent detection of information bits transmitted by multiple devices. To overcome the high complexity of the ML detection, we propose a sub-optimal two-stage detection algorithm to balance the computational complexity and error performance. In the first stage, we identify transmit chirps (without knowing which EDs transmit them). In the second stage, we determine the EDs that transmit the specific chirps identified from the first stage. To improve the detection performance in the second stage, we also optimize the transmit powers of EDs to minimize the similarity, measured by the Jaccard coefficient, between the received powers of any pair of EDs. As the power control optimization problem is non-convex, we use concepts from successive convex approximation to transform it to an approximate convex optimization problem that can be solved iteratively and guaranteed to reach a sub-optimal solution. Simulation results demonstrate and justify the tradeoff between transmit power penalties and network scalability of the proposed LoRa network model. In particular, by allowing concurrent transmission of 2 or 3 EDs, the uplink capacity of the proposed network can be doubled or tripled over that of a conventional LoRa network, albeit at the expense of additional 3.0 or 4.7 dB transmit power., Comment: 11 pages, 7 figures, submitted to IEEE for possible publication
Published: 2021

19. Angle Estimation for Terahertz Ultra-Massive MIMO-Based Space-to-Air Communications

Author: Liao, Anwen, Gao, Zhen, Yang, Yang, Nguyen, Ha H., Wang, Hua, Yin, Hao, Liao, Anwen, Gao, Zhen, Yang, Yang, Nguyen, Ha H., Wang, Hua, and Yin, Hao
Abstract: This paper investigates terahertz ultra-massive (UM)-MIMO-based angle estimation for space-to-air communications, which can solve the performance degradation problem caused by the dual delay-beam squint effects of terahertz UM-MIMO channels. Specifically, we first design a grouping true-time delay unit module that can significantly mitigate the impact of delay-beam squint effects to establish the space-to-air THz link. Based on the subarray selection scheme, the UM hybrid array can be equivalently considered as a low-dimensional fully-digital array, and then the fine estimates of azimuth/elevation angles at both UAVs and satellite can be separately acquired using the proposed prior-aided iterative angle estimation algorithm. The simulation results that close to Cram\'{e}r-Rao lower bounds verify the effectiveness of our solution., Comment: Accepted by IEEE/CIC International Conference on Communications in China. arXiv admin note: text overlap with arXiv:2103.01829
Published: 2021

20. UAV Trajectory Planning in Wireless Sensor Networks for Energy Consumption Minimization by Deep Reinforcement Learning

Author: Zhu, Botao, Bedeer, Ebrahim, Nguyen, Ha H., Barton, Robert, Henry, Jerome, Zhu, Botao, Bedeer, Ebrahim, Nguyen, Ha H., Barton, Robert, and Henry, Jerome
Abstract: Unmanned aerial vehicles (UAVs) have emerged as a promising candidate solution for data collection of large-scale wireless sensor networks (WSNs). In this paper, we investigate a UAV-aided WSN, where cluster heads (CHs) receive data from their member nodes, and a UAV is dispatched to collect data from CHs along the planned trajectory. We aim to minimize the total energy consumption of the UAV-WSN system in a complete round of data collection. Toward this end, we formulate the energy consumption minimization problem as a constrained combinatorial optimization problem by jointly selecting CHs from nodes within clusters and planning the UAV's visiting order to the selected CHs. The formulated energy consumption minimization problem is NP-hard, and hence, hard to solve optimally. In order to tackle this challenge, we propose a novel deep reinforcement learning (DRL) technique, pointer network-A* (Ptr-A*), which can efficiently learn from experiences the UAV trajectory policy for minimizing the energy consumption. The UAV's start point and the WSN with a set of pre-determined clusters are fed into the Ptr-A*, and the Ptr-A* outputs a group of CHs and the visiting order to these CHs, i.e., the UAV's trajectory. The parameters of the Ptr-A* are trained on small-scale clusters problem instances for faster training by using the actor-critic algorithm in an unsupervised manner. At inference, three search strategies are also proposed to improve the quality of solutions. Simulation results show that the trained models based on 20-clusters and 40-clusters have a good generalization ability to solve the UAV's trajectory planning problem in WSNs with different numbers of clusters, without the need to retrain the models. Furthermore, the results show that our proposed DRL algorithm outperforms two baseline techniques.
Published: 2021

21. A hybrid discrete-continuum approach to model hydro-mechanical behaviour of soil during desiccation

Author: Tran, Khoa M., Bui, Ha H., Nguyen, Giang D., Tran, Khoa M., Bui, Ha H., and Nguyen, Giang D.
Abstract: Desiccation cracking in clayey soils occurs when they lose moisture, leading to an increase in their compressibility and hydraulic conductivity and hence significant reduction of soil strength. The prediction of desiccation cracking in soils is challenging due to the lack of insights into the complex coupled hydro-mechanical process at the grain scale. In this paper, a new hybrid discrete-continuum numerical framework, capable of capturing hydro-mechanical behaviour of soil at both grain and macro scales, is proposed for predicting desiccation cracking in clayey soil. In this framework, a soil layer is represented by an assembly of DEM particles, each occupies an equivalent continuum space and carries physical properties governing unsaturated flow. These particles move freely in the computational space following the discrete element method (DEM), while their contact network and the continuum mixture theory are used to model the unsaturated flow. The dependence of particle-to-particle contact behaviour on water content is represented by a cohesive-frictional contact model, whose material properties are governed by the water content. In parallel with the theoretical development is a series of experiments on 3D soil desiccation cracking to determine essential properties and provide data for the validation of mechanical and physical behaviour. Very good agreement in both physical behaviour (e.g. evolution of water content) and mechanical behaviour (e.g. occurrence and development of cracks, and distribution of compressive and tensile strains) demonstrates that the proposed framework is capable of capturing the hydro-mechanical behaviour of soil during desiccation. The capability of the proposed framework facilitates numerical experiments for insights into the hydro-mechanical behaviour of unsaturated soils that have not been possible before.
Published: 2021

22. Performance Improvement of LoRa Modulation with Signal Combining and Semi-Coherent Detection

Author: Nguyen, The Khai, Nguyen, Ha H., Bedeer, Ebrahim, Nguyen, The Khai, Nguyen, Ha H., and Bedeer, Ebrahim
Abstract: In this paper, we investigate performance improvements of low-power long-range (LoRa) modulation when a gateway is equipped with multiple antennas. We derive the optimal decision rules for both coherent and non-coherent detections when combining signals received from multiple antennas. To provide insights on how signal combining can benefit LoRa systems, we present expressions of the symbol/bit error probabilities of both the coherent and non-coherent detections in AWGN and Rayleigh fading channels, respectively. Moreover, we also propose an iterative semi-coherent detection that does not require any overhead to estimate the channel-state-information (CSI) while its performance can approach that of the ideal coherent detection. Simulation and analytical results show very large power gains, or coverage extension, provided by the use of multiple antennas for all the detection schemes considered., Comment: The paper is accepted for publications in IEEE Communications Letters
Published: 2021

23. Frequency-Shift Chirp Spread Spectrum Communications with Index Modulation

Author: Hanif, Muhammad, Nguyen, Ha H., Hanif, Muhammad, and Nguyen, Ha H.
Abstract: This paper introduces a novel frequency-shift chirp spread spectrum (FSCSS) system with index modulation (IM). By using combinations of orthogonal chirp signals for message representation, the proposed FSCSS-IM system is very flexible to design and can achieve much higher data rates than the conventional FSCSS system under the same bandwidth. The paper presents optimal detection algorithms, both coherently and non-coherently, for the proposed FSCSS-IM system. Furthermore, a low-complexity non-coherent detection algorithm is also developed to reduce the computational complexity of the receiver, which is shown to achieve near-optimal performance. Results are presented to demonstrate that the proposed system, while enabling much higher data rates, enjoys similar bit-error performance as that of the conventional FSCSS system., Comment: The first version of this paper was submitted to IEEE Internet of Things Journal on July 14, 2020. The revised version was submitted on October 28, 2020, accepted May 15, 2021. The main idea and results of this work are documented in United States Patent #10,778,282, Sept. 2020. (https://researchers.usask.ca/ha-nguyen/documents/patents/us10778282b1-hanif.pdf)
Published: 2021

24. Performance Analysis and Optimization of Bidirectional Overlay Cognitive Radio Networks with Hybrid-SWIPT

Author: Prathima, Addanki, Gurjar, Devendra Singh, Nguyen, Ha H., Bhardwaj, Ajay, Prathima, Addanki, Gurjar, Devendra Singh, Nguyen, Ha H., and Bhardwaj, Ajay
Abstract: This paper considers a cooperative cognitive radio network with two primary users (PUs) and two secondary users (SUs) that enables two-way communications of primary and secondary systems in conjunction with non-linear energy harvesting based simultaneous wireless information and power transfer (SWIPT). With the considered network, SUs are able to realize their communications over the licensed spectrum while extending relay assistance to the PUs. The overall bidirectional end-to-end transmission takes place in four phases, which include both energy harvesting (EH) and information transfer. A non-linear energy harvester with a hybrid SWIPT scheme is adopted in which both power-splitting and time-switching EH techniques are used. The SUs aid in relay cooperation by performing an amplify-and-forward operation, whereas selection combining technique is adopted at the PUs to extract the intended signal from multiple received signals broadcasted by the SUs. Accurate outage probability expressions for the primary and secondary links are derived under the Nakagami-$m$ fading environment. Further, the system behavior is analyzed with respect to achievable system throughput and energy efficiency. Since the performance of the considered system is strongly affected by the spectrum sharing factor and hybrid SWIPT parameters, particle swarm optimization is implemented to optimize the system parameters so as to maximize the system throughput and energy efficiency. Simulation results are provided to corroborate the performance analysis and give useful insights into the system behavior concerning various system/channel parameters., Comment: 15 pages, 12 figures
Published: 2021
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25. Non-invasive estimation of relative pressure in turbulent flow using virtual work-energy

Author: Marlevi, David, Ha, H., Dillon-Murphy, D., Fernandes, J. F., Fovargue, D., Colarieti-Tosti, Massimiliano, Larsson, Matilda, Lamata, P., Figueroa, C. A., Ebbers, T., Nordsletten, D. A., Marlevi, David, Ha, H., Dillon-Murphy, D., Fernandes, J. F., Fovargue, D., Colarieti-Tosti, Massimiliano, Larsson, Matilda, Lamata, P., Figueroa, C. A., Ebbers, T., and Nordsletten, D. A.
Abstract: Vascular pressure differences are established risk markers for a number of cardiovascular diseases. Relative pressures are, however, often driven by turbulence-induced flow fluctuations, where conventional non-invasive methods may yield inaccurate results. Recently, we proposed a novel method for non-turbulent flows, νWERP, utilizing the concept of virtual work-energy to accurately probe relative pressure through complex branching vasculature. Here, we present an extension of this approach for turbulent flows: νWERP-t. We present a theoretical method derivation based on flow covariance, quantifying the impact of flow fluctuations on relative pressure. νWERP-t is tested on a set of in-vitro stenotic flow phantoms with data acquired by 4D flow MRI with six-directional flow encoding, as well as on a patient-specific in-silico model of an acute aortic dissection. Over all tests νWERP-t shows improved accuracy over alternative energy-based approaches, with excellent recovery of estimated relative pressures. In particular, the use of a guaranteed divergence-free virtual field improves accuracy in cases where turbulent flows skew the apparent divergence of the acquired field. With the original νWERP allowing for assessment of relative pressure into previously inaccessible vasculatures, the extended νWERP-t further enlarges the method's clinical scope, underlining its potential as a novel tool for assessing relative pressure in-vivo., QC 20200401Not duplicate with DiVA 1344624
Published: 2020
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26. An approach to calculating large strain accumulation for discrete element simulations of granular media

Author: Nguyen, Hoang Tuong Nhu, Bui, Ha H, Nguyen, Giang D, Nguyen, Hoang Tuong Nhu, Bui, Ha H, and Nguyen, Giang D
Published: 2020

27. Macroscopic pedestrian flow simulation using Smoothed Particle Hydrodynamics (SPH)

Author: Yuan, Y. (author), Goni Ros, B. (author), Bui, Ha H. (author), Daamen, W. (author), Vu, Hai L. (author), Hoogendoorn, S.P. (author), Yuan, Y. (author), Goni Ros, B. (author), Bui, Ha H. (author), Daamen, W. (author), Vu, Hai L. (author), and Hoogendoorn, S.P. (author)
Abstract: Macroscopic pedestrian models are theoretically simpler than microscopic models, and they can potentially be solved faster while producing reasonable predictions of crowd dynamics. Therefore, they can be very useful for applications such as large-scale simulation, real-time state estimation and crowd management. However, the numerical methods presently used to solve macroscopic pedestrian models, which are mostly grid-based, have some shortcomings that limit their applicability. More specifically, they usually include complex procedures for grid generation and remeshing, and they produce simulation results that may not be sufficiently accurate (for example, because of unclear boundaries between flow states). Smoothed Particle Hydrodynamics (SPH) constitutes an alternative numerical method that could potentially overcome these limitations. SPH is a meshfree method where a crowd is represented by a set of particles that possess material properties and move according to macroscopic laws. Relevant state variables at each particle are approximated using information about the material properties of the neighboring particles and a smoothing function. This paper puts forward for the first time a generic SPH framework for solving macroscopic pedestrian models; in addition, it demonstrates that an SPH-based simulation model can produce meaningful and accurate results by means of three case studies. The first case study shows that the proposed numerical method can approximate well the analytical solution of a simple macroscopic model applied to a queue-discharge scenario. The second case study demonstrates that the proposed numerical method can potentially reproduce density dispersion (a phenomenon observed in real crowds) more accurately than grid-based methods, due to its meshfree, Lagrangian, and particle-based nature. The third case study highlights the need to reformulate the acceleration equation of the basic macroscopic model in order to reproduce lane formation in bi-d, Transport and Planning, Transport and Planning
Published: 2020
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28. Wireless Information and Power Transfer for IoT Applications in Overlay Cognitive Radio Networks

Author: Gurjar, Devendra Singh, Nguyen, Ha H., Tuan, Hoang D., Gurjar, Devendra Singh, Nguyen, Ha H., and Tuan, Hoang D.
Abstract: This paper proposes and investigates an overlay spectrum sharing system in conjunction with the simultaneous wireless information and power transfer (SWIPT) to enable communications for the Internet of Things (IoT) applications. Considered is a cooperative cognitive radio network, where two IoT devices (IoDs) exchange their information and also provide relay assistance to a pair of primary users (PUs). Different from most existing works, in this paper, both IoDs can harvest energy from the radio-frequency (RF) signals received from the PUs. By utilizing the harvested energy, they provide relay cooperation to PUs and realize their own communications. For harvesting energy, a time-switching (TS) based approach is adopted at both IoDs. With the proposed scheme, one round of bidirectional information exchange for both primary and IoT systems is performed in four phases, i.e., one energy harvesting (EH) phase and three information processing (IP) phases. Both IoDs rely on the decode-and-forward operation to facilitate relaying, whereas the PUs employ selection combining (SC) technique. For investigating the performance of the considered network, this paper first provides exact expressions of user outage probability (OP) for the primary and IoT systems under Nakagami-m fading. Then, by utilizing the expressions of user OP, the system throughput and energy efficiency are quantified together with the average end-to-end transmission time. Numerical and simulation results are provided to give useful insights into the system behavior and to highlight the impact of various system/channel parameters., Comment: 12 figures, 14 pages
Published: 2020
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29. Performance of Wireless Powered Cognitive Radio Sensor Networks With Nonlinear Energy Harvester

Author: Gurjar, Devendra Singh, Nguyen, Ha H., Pattanayak, Prabina, Gurjar, Devendra Singh, Nguyen, Ha H., and Pattanayak, Prabina
Abstract: This letter analyzes the performance of simultaneous wireless information-and-power transfer (SWIPT) in an overlay cognitive radio network (CRN) under Nakagami-$m$ fading. A pair of secondary users (SUs) is considered in which one SU facilitates relay cooperation for communications between two primary users (PUs). In return, SUs make use of primary users' signals for energy harvesting (EH) and realize their own communications. In such a network, end-to-end bidirectional communications between the two PUs and unidirectional information exchange between the SUs can be performed in three phases. A power splitting (PS) based approach is adopted for enabling SWIPT. The relaying SU applies an amplify-and-forward (AF) protocol to broadcast primary and secondary signals, whereas the PUs perform selection combining to access the active direct link. Accurate expressions of the outage probability (OP) and throughput are derived for the primary system by considering a nonlinear energy harvester at the relaying SU under Nakagami-m fading, Comment: 4 pages, 3 figures
Published: 2020
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30. Solving the k-dominating set problem on very large-scale networks

Author: Nguyen, H, Ha, H, Nguyen, D, Nguyen, H, Ha, H, and Nguyen, D
Published: 2020

31. Geographical variation in preventable hospital admissions for dental conditions: An Australia-wide analysis

Author: Crocombe, LA, Allen, P, Bettiol, S, Khan, S, Godwin, D, Barnett, T, Ha, H, Goldberg, LR, Crocombe, LA, Allen, P, Bettiol, S, Khan, S, Godwin, D, Barnett, T, Ha, H, and Goldberg, LR
Abstract: OBJECTIVE: To describe the characteristics of hospital admissions for dental conditions, by Australian Statistical Geography Standard remoteness area for the 5 years 2010/2011 to 2014/2015. DESIGN: Retrospective analysis of preventable hospital admissions due to dental conditions. SETTING: National data set provided by the Australian Institute of Health and Welfare. PARTICIPANTS: Every hospital admission for patients who were admitted for dental conditions over five financial years, from 2010/2011 to 2014/2015. MAIN OUTCOME MEASURES: The number (and rate per 1000 population) of hospital admissions due to dental conditions in each Australian Statistical Geography Standard remoteness area (major city, inner regional, outer regional, remote and very remote). RESULTS: There were 316 937 hospital admissions for dental conditions over the 5-year period. The rate of potentially preventable dental hospital admissions ranged from an average of 2.5 per 1000 population in major cities to 3.2 in inner regional areas, 3.1 in outer regional areas, and 4.1 per 1000 in remote and very remote areas. The rate of admissions was highest among those aged 0-14 years living in remote (9.0-10.0 per 1000) and very remote (9.8-12.5 per 1000) areas. Dental caries was the most common reason for admissions. CONCLUSIONS: There is an urgent need to address the social determinants of oral health in children aged 0-14 years living in remote and very remote Australia. The delivery of mobile primary dental care services needs to be expanded in remote and very remote areas to prevent and treat dental caries.
Published: 2019

32. Impact of Nitrogen Fertilizer on the Mycorrhizal Inoculating Potential and Fungal Community Structure in Rhizosphere of Medicinal Plant Curcuma longa L.

Author: Hoang, Chi K., Pham, Nam H., Le, Cuong H., Tran, Hang T.N., Dang, Ha T.C., Chu, Ha H., Brouwer, Bram, Le, Huong M., Hoang, Chi K., Pham, Nam H., Le, Cuong H., Tran, Hang T.N., Dang, Ha T.C., Chu, Ha H., Brouwer, Bram, and Le, Huong M.
Abstract: Reducing chemical fertilizer while remaining high crop yield has become a trend of agricultural practice. The purpose of this study was to investigate the effects of nitrogen (N) input on the structure of the fungal community and mycorrhizal inoculum potential in rhizosphere of Curcuma longa, aiming to minimize the use of chemicals and optimize the effect of biofertilizer for sustainable turmeric farming. For this, a field study was conducted in two successive years 2015 and 2016 with applications of varrying N fertilizer rates N0 (0 kgN ha−1 y−1), N150 (150 kgN ha−1 y−1), N350 (350 kgN ha−1 y−1), and N500 (500 kgN ha−1 y−1) in combination with mycorrhizal biofertilizer on turmeric plants in Hung-Yen. Rhizosphere soils were then analyzed for the abundance of predominant fungal taxon based on amplicon sequencing of rDNA internal transcribed spacer regions. Metagenomic results indicated significant effects of N inputs on rhizosphere fungal communities composition, with dominance of ascomyceteous fungi under optimized N levels, whereas basidiomycetous fungi were more abundant under higher N input. Operational taxonomic units relating to the predominantly abundant genus Glomus were found apparently in higher proportion under optimized N inputs (N150). The results demonstrate an enhanced productivity and icreased mycorrhizal inoculating potential by appropriated N fertilizer application in turmeric rhizosphere.
Published: 2019
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33. Collaborative learning practices: teacher and student perceived obstacles to effective student collaboration

Author: Le Nhu Ngoc Ha, H., Janssen, J.J.H.M., Wubbels, Theo, Le Nhu Ngoc Ha, H., Janssen, J.J.H.M., and Wubbels, Theo
Abstract: While the educational literature mentions several obstacles affecting the effectiveness of collaborative learning (CL), they have often been investigated through the perceptions of only one actor, either teachers or students. Therefore, some sources of obstacles that teachers and students encounter may not have been revealed. In our study, we interviewed 19 teachers and 23 students in different disciplines at a pre-service teacher education faculty at a university in Vietnam. 47% of the teachers taught science subjects and 53% taught social subjects. 35% of the students majored in science subjects, 57% in social subjects, and 8% in primary education. With respect to study cohorts, 22% of the students were in the first and second year while 78% were in the third and fourth year of their 4-year bachelor’s program. These programs produce qualified teachers for primary and secondary schools nationwide. Based on grounded theory analysis, we identified four common obstacles to collaboration: students’ lack of collaborative skills, free-riding, competence status, and friendship. Furthermore, the results showed three interrelated antecedents that contribute to these obstacles. Central to the antecedents is the strong focus of the teachers on the cognitive aspects of CL, which led the participating teachers to neglect the collaborative aspects of CL. These antecedents were demonstrated in the ways teachers set CL goals, provided instruction, and assessed student collaboration. This study may be useful for educators, designers, and researchers to foster the quality of student collaboration.
Published: 2018

34. Collaborative learning practices: teacher and student perceived obstacles to effective student collaboration

Author: Leerstoel van Gog, Leerstoel Kester, Leerstoel Wubbels, Education and Learning: Development in Interaction, Le Nhu Ngoc Ha, H., Janssen, J.J.H.M., Wubbels, Theo, Leerstoel van Gog, Leerstoel Kester, Leerstoel Wubbels, Education and Learning: Development in Interaction, Le Nhu Ngoc Ha, H., Janssen, J.J.H.M., and Wubbels, Theo
Published: 2018

35. Truthful mechanism design for transmission scheduling in beyond wireless body area networks

Author: Yahampath, Pradeepa (Electrical and Computer Engineering) Peng, Qingjin (Mechanical Engineering) Nguyen, Ha H. (Electrical and Computer Engineering, University of Saskatchewan), Cai, Jun (Electrical and Computer Engineering), Yi, Changyan, Yahampath, Pradeepa (Electrical and Computer Engineering) Peng, Qingjin (Mechanical Engineering) Nguyen, Ha H. (Electrical and Computer Engineering, University of Saskatchewan), Cai, Jun (Electrical and Computer Engineering), and Yi, Changyan
Abstract: As an enabling technology for supporting ubiquitous physiological monitoring of human bodies, wireless body area networks (WBANs) has been proposed as a promising paradigm for future wireless communications, and can provide a lot of benefits in various perspectives. One major application of WBANs is the use for healthcare services. The implementation of WBAN-based remote medical systems can significantly alleviate the financial and social burdens resulting from the growth of aging population, the increasing demand for high-quality treatments and the rising costs, as it can offer pervasive healthcare monitoring, computer-assisted rehabilitations and emergency notifications. Because of these, a lot of research efforts have been made in this area. However, the technical issues related to data packet transmissions in beyond-WBAN communications (i.e., the information exchanges between WBAN-gateways and the remote facilities), though of high importance, have not been well studied. This thesis particularly emphasizes on studying the beyond-WBAN transmission scheduling by applying the mechanism design technique for achieving high network efficiency (e.g., social welfare maximization or operation revenue maximization), ensuring the fulfillment of desired priority-aware quality-of-service (QoS) and preventing any untruthful strategic bahaviors from smart WBAN-gateways. Specifically, i) we start by proposing a truthful mechanism for delay-sensitive transmission scheduling with homogeneous packet transmission time in the beyond-WBAN; ii) by relaxing the assumption of homogeneous packet transmission time and defining a discretized priority classification fitting the existing IEEE standards for WBAN-applications, we then design a novel truthful mechanism for supporting multi-class prioritized delay-sensitive beyond-WBAN transmission scheduling; iii) with the further consideration of a more general transmission service process and the relaxation of the fixed priority requirement
Published: 2018

36. Multiplexing Analysis of Millimeter-Wave Massive MIMO Systems

Author: Yue, Dian-Wu, Nguyen, Ha H., Xu, Shuai, Yue, Dian-Wu, Nguyen, Ha H., and Xu, Shuai
Abstract: This paper is concerned with spatial multiplexing analysis for millimeter-wave (mmWave) massive MIMO systems. For a single-user mmWave system employing distributed antenna subarray architecture in which the transmitter and receiver consist of Kt and Kr subarrays, respectively, an asymptotic multiplexing gain formula is firstly derived when the numbers of antennas at subarrays go to infinity. Specifically, assuming that all subchannels have the same average number of propagation paths L, the formula implies that by employing such a distributed antenna-subarray architecture, an exact average maximum multiplexing gain of KrKtL can be achieved. This result means that compared to the co-located antenna architecture, using the distributed antenna-subarray architecture can scale up the maximum multiplexing gain proportionally to KrKt. In order to further reveal the relation between diversity gain and multiplexing gain, a simple characterization of the diversity-multiplexing tradeoff is also given. The multiplexing gain analysis is then extended to the multiuser scenario. Moreover, simulation results obtained with the hybrid analog/digital processing corroborate the analysis results., Comment: 10 pages, 8 figures. arXiv admin note: substantial text overlap with arXiv:1801.00387
Published: 2018

37. The Physics of the B Factories

Author: Bevan, A. J., Golob, B., Mannel, Th., Prell, S., Yabsley, B. D., Abe, K., Aihara, H., Anulli, F., Arnaud, N., Aushev, T., Beneke, M., Beringer, J., Bianchi, F., Bigi, I. I., Bona, M., Brambilla, N., rodzicka, J. B, Chang, P., Charles, M. J., Cheng, C. H., Cheng, H. -Y., Chistov, R., Colangelo, P., Coleman, J. P., Drutskoy, A., Druzhinin, V. P., Eidelman, S., Eigen, G., Eisner, A. M., Faccini, R., Flood, K. T ., Gambino, P., Gaz, A., Gradl, W., Hayashii, H., Higuchi, T., Hulsbergen, W. D., Hurth, T., Iijima, T., Itoh, R., Jackson, P. D., Kass, R., Kolomensky, Yu. G., Kou, E., Križan, P., Kronfeld, A., Kumano, S., Kwon, Y. J., Latham, T. E., Leith, D. W. G. S., Lüth, V., Martinez-Vidal, F., Meadows, B. T., Mussa, R., Nakao, M., Nishida, S., Ocariz, J., Olsen, S. L., Pakhlov, P., Pakhlova, G., Palano, A., Pich, A., Playfer, S., Poluektov, A., Porter, F. C., Robertson, S. H., Roney, J. M., Roodman, A., Sakai, Y., Schwanda, C., Schwartz, A. J., Seidl, R., Sekula, S. J., Steinhauser, M., Sumisawa, K., Swanson, E. S., Tackmann, F., Trabelsi, K., Uehara, S., Uno, S., van der Water, R., Vasseur, G., Verkerke, W., Waldi, R., Wang, M. Z., Wilson, F. F., Zupan, J., Zupanc, A., Adachi, I., Albert, J., Banerjee, Sw., Bellis, M., Ben-Haim, E., Biassoni, P., Cahn, R. N., Cartaro, C., Chauveau, J., Chen, C., Chiang, C. C., Cowan, R., Dalseno, J., Davier, M., Davies, C., Dingfelder, J. C., nard, B. Eche, Epifanov, D., Fulsom, B. G., Gabareen, A. M., Gary, J. W., Godang, R., Graham, M. T., Hafner, A., Hamilton, B., Hartmann, T., Hayasaka, K., Hearty, C., Iwasaki, Y., Khodjamirian, A., Kusaka, A., Kuzmin, A., Lafferty, G. D., Lazzaro, A., Li, J., Lindemann, D., Long, O., Lusiani, A., Marchiori, G., Martinelli, M., Miyabayashi, K., Mizuk, R., Mohanty, G. B., Muller, D. R., Nakazawa, H., Ongmongkolkul, P., Pacetti, S., Palombo, F., Pedlar, T. K., Piilonen, L. E., Pilloni, A., Poireau, V., Prothmann, K., Pulliam, T., Rama, M., Ratcliff, B. N., Roudeau, P., Schrenk, S., Schroeder, T., Schubert, K. R., Shen, C. P., Shwartz, B., Soffer, A., Solodov, E. P., Somov, A., Starič, M., Stracka, S., Telnov, A. V., Todyshev, K. Yu., Tsuboyama, T., Uglov, T., Vinokurova, A., Walsh, J. J., Watanabe, Y., Won, E., Wormser, G., Wright, D. H., Ye, S., Zhang, C. C., Abachi, S., Abashian, A., Abe, N., Abe, R., Abe, T., Abrams, G. S., Adam, I., Adamczyk, K., Adametz, A., Adye, T., Agarwal, A., Ahmed, H., Ahmed, M., Ahmed, S., Ahn, B. S., Ahn, H. S., Aitchison, I. J. R., Akai, K., Akar, S., Akatsu, M., Akemoto, M., Akhmetshin, R., Akre, R., Alam, M. S., Albert, J. N., Aleksan, R., Alexander, J. P., Alimonti, G., Allen, M. T., Allison, J., Allmendinger, T., Alsmiller, J. R. G., Altenburg, D., Alwyn, K. E., An, Q., Anderson, J., Andreassen, R., Andreotti, D., Andreotti, M., Andress, J. C., Angelini, C., Anipko, D., Anjomshoaa, A., Anthony, P. L., Antillon, E. A., Antonioli, E., Aoki, K., Arguin, J. F., Arinstein, K., Arisaka, K., Asai, K., Asai, M., Asano, Y., Asgeirsson, D. J., Asner, D. M., Aso, T., Aspinwall, M. L., Aston, D., Atmacan, H., Aubert, B., Aulchenko, V., Ayad, R., Azemoon, T., Aziz, T., Azzolini, V., Azzopardi, D. E., Baak, M. A., Back, J. J., Bagnasco, S., Bahinipati, S., Bailey, D. S., Bailey, S., Bailly, P., van Bakel, N., Bakich, A. M., Bala, A., Balagura, V., Baldini-Ferroli, R., Ban, Y., Banas, E., Band, H. R., Banerjee, S., Baracchini, E., Barate, R., Barberio, E., Barbero, M., Bard, D. J., Barillari, T., Barlow, N. R., Barlow, R. J., Barrett, M., Bartel, W., Bartelt, J., Bartoldus, R., Batignani, G., Battaglia, M., Bauer, J. M., Bay, A., Beaulieu, M., Bechtle, P., Beck, T. W., Becker, J., Becla, J., Bedny, I., Behari, S., Behera, P. K., Behn, E., Behr, L., Beigbeder, C., Beiline, D., Bell, R., Bellini, F., Bellodi, G., Belous, K., Benayoun, M., Benelli, G., Benitez, J. F., Benkebil, M., Berger, N., Bernabeu, J., Bernard, D., Bernet, R., Bernlochner, F. U., Berryhill, J. W., Bertsche, K., Besson, P., Best, D. S., Bettarini, S., Bettoni, D., Bhardwaj, V., Bhimji, W., Bhuyan, B., Biagini, M. E., Biasini, M., van Bibber, K., Biesiada, J., Bingham, I., Bionta, R. M., Bischofberger, M., Bitenc, U., Bizjak, I., Blanc, F., Blaylock, G., Blinov, V. E., Bloom, E., Bloom, P. C., Blount, N. L., Blouw, J., Bly, M., Blyth, S., Boeheim, C. T., Bomben, M., Bondar, A., Bondioli, M., Bonneaud, G. R., Bonvicini, G., Booke, M., Booth, J., Borean, C., Borgland, A. W., Borsato, E., Bosi, F., Bosisio, L., Botov, A. A., Bougher, J., Bouldin, K., Bourgeois, P., Boutigny, D., Bowerman, D. A., Boyarski, A. M., Boyce, R. F., Boyd, J. T., Bozek, A., Bozzi, C., Bračko, M., Brandenburg, G., Brandt, T., Brau, B., Brau, J., Breon, A. B., Breton, D., Brew, C., Briand, H., Bright-Thomas, P. G., Brigljević, V., Britton, D. I., Brochard, F., Broomer, B., Brose, J., Browder, T. E., Brown, C. L., Brown, C. M., Brown, D. 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S., Cho, K., Chobanova, V., Choi, H. H. F., Choi, K. S., Choi, S. K., Choi, Y., Choi, Y. K., Christ, S., Chu, P. H., Chun, S., Chuvikov, A., Cibinetto, G., Cinabro, D., Clark, A. R., Clark, P. J., Clarke, C. K., Claus, R., Claxton, B., Clifton, Z. C., Cochran, J., Cohen-Tanugi, J., Cohn, H., Colberg, T., Cole, S., Colecchia, F., Condurache, C., Contri, R., Convert, P., Convery, M. R., Cooke, P., Copty, N., Cormack, C. M., Corso, F. Dal, Corwin, L. A., Cossutti, F., Cote, D., Ramusino, A. Cotta, Cottingham, W. N., Couderc, F., Coupal, D. P., Covarelli, R., Cowan, G., Craddock, W. W., Crane, G., Crawley, H. B., Cremaldi, L., Crescente, A., Cristinziani, M., Crnkovic, J., Crosetti, G., Cuhadar-Donszelmann, T., Cunha, A., Curry, S., D'Orazio, A., Dû, S., Dahlinger, G., Dahmes, B., Dallapiccola, C., Danielson, N., Danilov, M., Das, A., Dash, M., Dasu, S., Datta, M., Daudo, F., Dauncey, P. D., David, P., Davis, C. L., Day, C. 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Abstract: This work is on the Physics of the B Factories. Part A of this book contains a brief description of the SLAC and KEK B Factories as well as their detectors, BaBar and Belle, and data taking related issues. Part B discusses tools and methods used by the experiments in order to obtain results. The results themselves can be found in Part C. Please note that version 3 on the archive is the auxiliary version of the Physics of the B Factories book. This uses the notation alpha, beta, gamma for the angles of the Unitarity Triangle. The nominal version uses the notation phi_1, phi_2 and phi_3. Please cite this work as Eur. Phys. J. C74 (2014) 3026., Comment: 928 pages, version 3 (arXiv:1406.6311v3) corresponds to the alpha, beta, gamma version of the book, the other versions use the phi1, phi2, phi3 notation
Published: 2014
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38. The Physics of the B Factories

Author: Bevan, A, Golob, B, Mannel, T, Prell, S, Yabsley, B, Aihara, H, Anulli, F, Arnaud, N, Aushev, T, Beneke, M, Beringer, J, Bianchi, F, Bigi, I, Bona, M, Brambilla, N, Brodzicka, J, Chang, P, Charles, M, Cheng, C, Cheng, H, Chistov, R, Colangelo, P, Coleman, J, Drutskoy, A, Druzhinin, V, Eidelman, S, Eigen, G, Eisner, A, Faccini, R, Flood, K, Gambino, P, Gaz, A, Gradl, W, Hayashii, H, Higuchi, T, Hulsbergen, W, Hurth, T, Iijima, T, Itoh, R, Jackson, P, Kass, R, Kolomensky, Y, Kou, E, Križan, P, Kronfeld, A, Kumano, S, Kwon, Y, Latham, T, Leith, D, Lüth, V, Martinez-Vidal, F, Meadows, B, Mussa, R, Nakao, M, Nishida, S, Ocariz, J, Olsen, S, Pakhlov, P, Pakhlova, G, Palano, A, Pich, A, Playfer, S, Poluektov, A, Porter, F, Robertson, S, Roney, J, Roodman, A, Sakai, Y, Schwanda, C, Schwartz, A, Seidl, R, Sekula, S, Steinhauser, M, Sumisawa, K, Swanson, E, Tackmann, F, Trabelsi, K, Uehara, S, Uno, S, van de Water, R, Vasseur, G, Verkerke, W, Waldi, R, Wang, M, Wilson, F, Zupan, J, Zupanc, A, Adachi, I, Albert, J, Banerjee, S, Bellis, M, Ben-Haim, E, Biassoni, P, Cahn, R, Cartaro, C, Chauveau, J, Chen, C, Chiang, C, Cowan, R, Dalseno, J, Davier, M, Davies, C, Dingfelder, J, Echenard, B, Epifanov, D, Fulsom, B, Gabareen, A, Gary, J, Godang, R, Graham, M, Hafner, A, Hamilton, B, Hartmann, T, Hayasaka, K, Hearty, C, Iwasaki, Y, Khodjamirian, A, Kusaka, A, Kuzmin, A, Lafferty, G, Lazzaro, A, Li, J, Lindemann, D, Long, O, Lusiani, A, Marchiori, G, Martinelli, M, Miyabayashi, K, Mizuk, R, Mohanty, G, Muller, D, Nakazawa, H, Ongmongkolkul, P, Pacetti, S, Palombo, F, Pedlar, T, Piilonen, L, Pilloni, A, Poireau, V, Prothmann, K, Pulliam, T, Rama, M, Ratcliff, B, Roudeau, P, Schrenk, S, Schroeder, T, Schubert, K, Shen, C, Shwartz, B, Soffer, A, Solodov, E, Somov, A, Starič, M, Stracka, S, Telnov, A, Todyshev, K, Tsuboyama, T, Uglov, T, Vinokurova, A, Walsh, J, Watanabe, Y, Won, E, Wormser, G, Wright, D, Ye, S, Zhang, C, Abachi, S, Abashian, A, Abe, K, Abe, N, Abe, R, Abe, T, Abrams, G, Adam, I, Adamczyk, K, Adametz, A, Adye, T, Agarwal, A, Ahmed, H, Ahmed, M, Ahmed, S, Ahn, B, Ahn, H, Aitchison, I, Akai, K, Akar, S, Akatsu, M, Akemoto, M, Akhmetshin, R, Akre, R, Alam, M, Aleksan, R, Alexander, J, Alimonti, G, Allen, M, Allison, J, Allmendinger, T, Alsmiller, J, Altenburg, D, Alwyn, K, An, Q, Anderson, J, Andreassen, R, Andreotti, D, Andreotti, M, Andress, J, Angelini, C, Anipko, D, Anjomshoaa, A, Anthony, P, Antillon, E, Antonioli, E, Aoki, K, Arguin, J, Arinstein, K, Arisaka, K, Asai, K, Asai, M, Asano, Y, Asgeirsson, D, Asner, D, Aso, T, Aspinwall, M, Aston, D, Atmacan, H, Aubert, B, Aulchenko, V, Ayad, R, Azemoon, T, Aziz, T, Azzolini, V, Azzopardi, D, Baak, M, Back, J, Bagnasco, S, Bahinipati, S, Bailey, D, Bailey, S, Bailly, P, van Bakel, N, Bakich, A, Bala, A, Balagura, V, Baldini-Ferroli, R, Ban, Y, Banas, E, Band, H, Baracchini, E, Barate, R, Barberio, E, Barbero, M, Bard, D, Barillari, T, Barlow, N, Barlow, R, Barrett, M, Bartel, W, Bartelt, J, Bartoldus, R, Batignani, G, Battaglia, M, Bauer, J, Bay, A, Beaulieu, M, Bechtle, P, Beck, T, Becker, J, Becla, J, Bedny, I, Behari, S, Behera, P, Behn, E, Behr, L, Beigbeder, C, Beiline, D, Bell, R, Bellini, F, Bellodi, G, Belous, K, Benayoun, M, Benelli, G, Benitez, J, Benkebil, M, Berger, N, Bernabeu, J, Bernard, D, Bernet, R, Bernlochner, F, Berryhill, J, Bertsche, K, Besson, P, Best, D, Bettarini, S, Bettoni, D, Bhardwaj, V, Bhimji, W, Bhuyan, B, Biagini, M, Biasini, M, van Bibber, K, Biesiada, J, Bingham, I, Bionta, R, Bischofberger, M, Bitenc, U, Bizjak, I, Blanc, F, Blaylock, G, Blinov, V, Bloom, E, Bloom, P, Blount, N, Blouw, J, Bly, M, Blyth, S, Boeheim, C, Bomben, M, Bondar, A, Bondioli, M, Bonneaud, G, Bonvicini, G, Booke, M, Booth, J, Borean, C, Borgland, A, Borsato, E, Bosi, F, Bosisio, L, Botov, A, Bougher, J, Bouldin, K, Bourgeois, P, Boutigny, D, Bowerman, D, Boyarski, A, Boyce, R, Boyd, J, Bozek, A, Bozzi, C, Bračko, M, Brandenburg, G, Brandt, T, Brau, B, Brau, J, Breon, A, Breton, D, Brew, C, Briand, H, Bright-Thomas, P, Brigljević, V, Britton, D, Brochard, F, Broomer, B, Brose, J, Browder, T, Brown, C, Brown, D, Browne, M, Bruinsma, M, Brunet, S, Bucci, F, Buchanan, C, Buchmueller, O, Bünger, C, Bugg, W, Bukin, A, Bula, R, Bulten, H, Burchat, P, Burgess, W, Burke, J, Button-Shafer, J, Buzykaev, A, Buzzo, A, Cai, Y, Calabrese, R, Calcaterra, A, Calderini, G, Camanzi, B, Campagna, E, Campagnari, C, Capra, R, Carassiti, V, Carpinelli, M, Carroll, M, Casarosa, G, Casey, B, Cason, N, Castelli, G, Cavallo, N, Cavoto, G, Cecchi, A, Cenci, R, Cerizza, G, Cervelli, A, Ceseracciu, A, Chai, X, Chaisanguanthum, K, Chang, M, Chang, Y, Chao, D, Chao, M, Chao, Y, Charles, E, Chavez, C, Cheaib, R, Chekelian, V, Chen, A, Chen, E, Chen, G, Chen, H, Chen, J, Chen, K, Chen, P, Chen, S, Chen, W, Chen, X, Chen, Y, Cheng, B, Cheon, B, Chevalier, N, Chia, Y, Chidzik, S, Chilikin, K, Chistiakova, M, Cizeron, R, Cho, I, Cho, K, Chobanova, V, Choi, H, Choi, K, Choi, S, Choi, Y, Christ, S, Chu, P, Chun, S, Chuvikov, A, Cibinetto, G, Cinabro, D, Clark, A, Clark, P, Clarke, C, Claus, R, Claxton, B, Clifton, Z, Cochran, J, Cohen-Tanugi, J, Cohn, H, Colberg, T, Cole, S, Colecchia, F, Condurache, C, Contri, R, Convert, P, Convery, M, Cooke, P, Copty, N, Cormack, C, Dal Corso, F, Corwin, L, Cossutti, F, Cote, D, Cotta Ramusino, A, Cottingham, W, Couderc, F, Coupal, D, Covarelli, R, Cowan, G, Craddock, W, Crane, G, Crawley, H, Cremaldi, L, Crescente, A, Cristinziani, M, Crnkovic, J, Crosetti, G, Cuhadar-Donszelmann, T, Cunha, A, Curry, S, D’Orazio, A, Dû, S, Dahlinger, G, Dahmes, B, Dallapiccola, C, Danielson, N, Danilov, M, Das, A, Dash, M, Dasu, S, Datta, M, Daudo, F, Dauncey, P, David, P, Davis, C, Day, C, De Mori, F, De Domenico, G, De Groot, N, De la Vaissière, C, de la Vaissière, C, de Lesquen, A, De Nardo, G, de Sangro, R, De Silva, A, Debarger, S, Decker, F, del Amo Sanchez, P, Del Buono, L, Del Gamba, V, del Re, D, Della Ricca, G, Denig, A, Derkach, D, Derrington, I, Destaebler, H, Destree, J, Devmal, S, Dey, B, Di Girolamo, B, Marco, E, Dickopp, M, Dima, M, Dittrich, S, Dittongo, S, Dixon, P, Dneprovsky, L, Dohou, F, Doi, Y, Doležal, Z, Doll, D, Donald, M, Dong, L, Dorfan, J, Dorigo, A, Dorsten, M, Dowd, R, Dowdell, J, Drásal, Z, Dragic, J, Drummond, B, Dubitzky, R, Dubois-Felsmann, G, Dubrovin, M, Duh, Y, Dujmic, D, Dungel, W, Dunwoodie, W, Dutta, D, Dvoretskii, A, Dyce, N, Ebert, M, Eckhart, E, Ecklund, S, Eckmann, R, Eckstein, P, Edgar, C, Edwards, A, Egede, U, Eichenbaum, A, Elmer, P, Emery, S, Enari, Y, Enomoto, R, Erdos, E, Erickson, R, Ernst, J, Erwin, R, Escalier, M, Eschenburg, V, Eschrich, I, Esen, S, Esteve, L, Evangelisti, F, Everton, C, Eyges, V, Fabby, C, Fabozzi, F, Fahey, S, Falbo, M, Fan, S, Fang, F, Fanin, C, Farbin, A, Farhat, H, Fast, J, Feindt, M, Fella, A, Feltresi, E, Ferber, T, Fernholz, R, Ferrag, S, Ferrarotto, F, Ferroni, F, Field, R, Filippi, A, Finocchiaro, G, Fioravanti, E, Firmino da Costa, J, Fischer, P, Fisher, A, Fisher, P, Flacco, C, Flack, R, Flaecher, H, Flanagan, J, Flanigan, J, Ford, K, Ford, W, Forster, I, Forti, A, Forti, F, Fortin, D, Foster, B, Foulkes, S, Fouque, G, Fox, J, Franchini, P, Franco Sevilla, M, Franek, B, Frank, E, Fransham, K, Fratina, S, Fratini, K, Frey, A, Frey, R, Friedl, M, Fritsch, M, Fry, J, Fujii, H, Fujikawa, M, Fujita, Y, Fujiyama, Y, Fukunaga, C, Fukushima, M, Fullwood, J, Funahashi, Y, Funakoshi, Y, Furano, F, Furman, M, Furukawa, K, Futterschneider, H, Gabathuler, E, Gabriel, T, Gabyshev, N, Gaede, F, Gagliardi, N, Gaidot, A, Gaillard, J, Galagedera, S, Galeazzi, F, Gallo, F, Gamba, D, Gamet, R, Gan, K, Gandini, P, Ganguly, S, Ganzhur, S, Gao, Y, Gaponenko, I, Garmash, A, Garra Tico, J, Garzia, I, Gaspero, M, Gastaldi, F, Gatto, C, Gaur, V, Geddes, N, Geld, T, Genat, J, George, K, George, M, George, S, Georgette, Z, Gershon, T, Gill, M, Gillard, R, Gilman, J, Giordano, F, Giorgi, M, Giraud, P, Gladney, L, Glanzman, T, Glattauer, R, Go, A, Goetzen, K, Goh, Y, Gokhroo, G, Goldenzweig, P, Golubev, V, Gopal, G, Gordon, A, Gorišek, A, Goriletsky, V, Gorodeisky, R, Gosset, L, Gotow, K, Gowdy, S, Graffin, P, Grancagnolo, S, Grauges, E, Graziani, G, Green, M, Greene, M, Grenier, G, Grenier, P, Griessinger, K, Grillo, A, Grinyov, B, Gritsan, A, Grosdidier, G, Grosse Perdekamp, M, Grosso, P, Grothe, M, Groysman, Y, Grünberg, O, Guido, E, Guler, H, Gunawardane, N, Guo, Q, Guo, R, Guo, Z, Guttman, N, Ha, H, Haas, T, Haba, J, Hachtel, J, Hadavand, H, Hadig, T, Hagner, C, Haire, M, Haitani, F, Haji, T, Haller, G, Halyo, V, Hamano, K, Hamasaki, H, Hamel de Monchenault, G, Hamilton, J, Hamilton, R, Hamon, O, Han, B, Han, Y, Hanada, H, Hanagaki, K, Handa, F, Hanson, J, Hanushevsky, A, Hara, K, Hara, T, Harada, Y, Harrison, P, Harrison, T, Harrop, B, Hart, A, Hart, P, Hartfiel, B, Harton, J, Haruyama, T, Hasan, A, Hasegawa, Y, Hast, C, Hastings, N, Hasuko, K, Hauke, A, Hawkes, C, Hayashi, K, Hazumi, M, Hee, C, Heenan, E, Heffernan, D, Held, T, Henderson, R, Henderson, S, Hertzbach, S, Hervé, S, Heß, M, Heusch, C, Hicheur, A, Higashi, Y, Higasino, Y, Higuchi, I, Hikita, S, Hill, E, Himel, T, Hinz, L, Hirai, T, Hirano, H, Hirschauer, J, Hitlin, D, Hitomi, N, Hodgkinson, M, Höcker, A, Hoi, C, Hojo, T, Hokuue, T, Hollar, J, Hong, T, Honscheid, K, Hooberman, B, Hopkins, D, Horii, Y, Hoshi, Y, Hoshina, K, Hou, S, Hou, W, Hryn’Ova, T, Hsiung, Y, Hsu, C, Hsu, S, Hu, H, Hu, T, Huang, H, Huang, T, Huang, Y, Huard, Z, Huffer, M, Hufnagel, D, Hung, T, Hutchcroft, D, Hyun, H, Ichizawa, S, Igaki, T, Igarashi, A, Igarashi, S, Igarashi, Y, Igonkina, O, Ikado, K, Ikeda, H, Ikeda, K, Ilic, J, Inami, K, Innes, W, Inoue, Y, Ishikawa, A, Ishino, H, Itagaki, K, Itami, S, Itoh, K, Ivanchenko, V, Iverson, R, Iwabuchi, M, Iwai, G, Iwai, M, Iwaida, S, Iwamoto, M, Iwasaki, H, Iwasaki, M, Iwashita, T, Izen, J, Jackson, D, Jackson, F, Jackson, G, Jacobsen, R, Jacoby, C, Jaegle, I, Jain, V, Jalocha, P, Jang, H, Jasper, H, Jawahery, A, Jayatilleke, S, Jen, C, Jensen, F, Jessop, C, Ji, X, John, M, Johnson, D, Johnson, J, Jolly, S, Jones, M, Joo, K, Joshi, N, Judd, D, Julius, T, Kadel, R, Kadyk, J, Kagan, H, Kagan, R, Kah, D, Kaiser, S, Kaji, H, Kajiwara, S, Kakuno, H, Kameshima, T, Kaminski, J, Kamitani, T, Kaneko, J, Kang, J, Kani, T, Kapusta, P, Karbach, T, Karolak, M, Karyotakis, Y, Kasami, K, Katano, G, Kataoka, S, Katayama, N, Kato, E, Kato, Y, Kawai, H, Kawai, M, Kawamura, N, Kawasaki, T, Kay, J, Kay, M, Kelly, M, Kelsey, M, Kent, N, Kerth, L, Khan, A, Khan, H, Kharakh, D, Kibayashi, A, Kichimi, H, Kiesling, C, Kikuchi, M, Kikutani, E, Kim, B, Kim, C, Kim, D, Kim, H, Kim, J, Kim, K, Kim, M, Kim, P, Kim, S, Kim, T, Kim, Y, King, G, Kinoshita, K, Kirk, A, Kirkby, D, Kitayama, I, Klemetti, M, Klose, V, Klucar, J, Knecht, N, Knoepfel, K, Knowles, D, Ko, B, Kobayashi, N, Kobayashi, S, Kobayashi, T, Kobel, M, Koblitz, S, Koch, H, Kocian, M, Kodyš, P, Koeneke, K, Kofler, R, Koike, S, Koishi, S, Koiso, H, Kolb, J, Kolya, S, Kondo, Y, Konishi, H, Koppenburg, P, Koptchev, V, Kordich, T, Korol, A, Korotushenko, K, Korpar, S, Kouzes, R, Kovalskyi, D, Kowalewski, R, Kozakai, Y, Kozanecki, W, Kral, J, Krasnykh, A, Krause, R, Kravchenko, E, Krebs, J, Kreisel, A, Kreps, M, Krishnamurthy, M, Kroeger, R, Kroeger, W, Krokovny, P, Kronenbitter, B, Kroseberg, J, Kubo, T, Kuhr, T, Kukartsev, G, Kulasiri, R, Kulikov, A, Kumar, R, Kumar, S, Kumita, T, Kuniya, T, Kunze, M, Kuo, C, Kuo, T, Kurashiro, H, Kurihara, E, Kurita, N, Kuroki, Y, Kurup, A, Kutter, P, Kuznetsova, N, Kvasnička, P, Kyberd, P, Kyeong, S, Lacker, H, Lae, C, Lamanna, E, Lamsa, J, Lanceri, L, Landi, L, Lang, M, Lange, D, Lange, J, Langenegger, U, Langer, M, Lankford, A, Lanni, F, Laplace, S, Latour, E, Lau, Y, Lavin, D, Layter, J, Lebbolo, H, Leclerc, C, Leddig, T, Leder, G, Le Diberder, F, Lee, C, Lee, J, Lee, M, Lee, S, Lee, Y, Lees, J, Legendre, M, Leitgab, M, Leitner, R, Leonardi, E, Leonidopoulos, C, Lepeltier, V, Leruste, P, Lesiak, T, Levi, M, Levy, S, Lewandowski, B, Lewczuk, M, Lewis, P, Li, H, Li, S, Li, X, Li, Y, Gioi, L, Libby, J, Lidbury, J, Lillard, V, Lim, C, Limosani, A, Lin, C, Lin, J, Lin, S, Lin, Y, Lindquist, B, Lindsay, C, Lista, L, Liu, C, Liu, F, Liu, H, Liu, J, Liu, R, Liu, T, Liu, Y, Liu, Z, Liventsev, D, Lo Vetere, M, Locke, C, Lockman, W, Di Lodovico, F, Lombardo, V, London, G, Lopes Pegna, D, Lopez, L, Lopez-March, N, Lory, J, Losecco, J, Lou, X, Louvot, R, Lu, A, Lu, C, Lu, M, Lu, R, Lueck, T, Luitz, S, Lukin, P, Lund, P, Luppi, E, Lutz, A, Lutz, O, Lynch, G, Lynch, H, Lyon, A, Lyubinsky, V, Macfarlane, D, Mackay, C, Macnaughton, J, Macri, M, Madani, S, Mader, W, Majewski, S, Majumder, G, Makida, Y, Malaescu, B, Malaguti, R, Malclés, J, Mallik, U, Maly, E, Mamada, H, Manabe, A, Mancinelli, G, Mandelkern, M, Mandl, F, Manfredi, P, Mangeol, D, Manoni, E, Mao, Z, Margoni, M, Marker, C, Markey, G, Marks, J, Marlow, D, Marques, V, Marsiske, H, Martellotti, S, Martin, E, Martin, J, 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F, Morton, G, Moss, L, Mouly, J, Mount, R, Mueller, J, Müller-Pfefferkorn, R, Mugge, M, Muheim, F, Muir, A, Mullin, E, Munerato, M, Murakami, A, Murakami, T, Muramatsu, N, Musico, P, Nagai, I, Nagamine, T, Nagasaka, Y, Nagashima, Y, Nagayama, S, Nagel, M, Naisbit, M, Nakadaira, T, Nakahama, Y, Nakajima, M, Nakajima, T, Nakamura, I, Nakamura, T, Nakano, E, Nakayama, H, Nam, J, Narita, S, Narsky, I, Nash, J, Natkaniec, Z, Nauenberg, U, Nayak, M, Neal, H, Nedelkovska, E, Negrini, M, Neichi, K, Nelson, D, Nelson, S, Neri, N, Nesom, G, Neubauer, S, Newman-Coburn, D, Ng, C, Nguyen, X, Nicholson, H, Niebuhr, C, Nief, J, Niiyama, M, Nikolich, M, Nisar, N, Nishimura, K, Nishio, Y, Nitoh, O, Nogowski, R, Noguchi, S, Nomura, T, Nordby, M, Nosochkov, Y, Novokhatski, A, Nozaki, S, Nozaki, T, Nugent, I, O’Grady, C, O’Neale, S, O’Neill, F, Oberhof, B, Oddone, P, Ofte, I, Ogawa, A, Ogawa, K, Ogawa, S, Ogawa, Y, Ohkubo, R, Ohmi, K, Ohnishi, Y, Ohno, F, Ohshima, T, Ohshima, Y, Ohuchi, N, Oide, K, 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Zhu, R., Zhu, Y., Zhu, Z., Zhulanov, V., Ziegler, T., Ziegler, V., Zioulas, G., Zisman, M., Zito, M., Zürcher, D., Zwahlen, N., Zyukova, O., Živko, T., and Žontar, D.
Published: 2014

39. A thermodynamics-based cohesive model for discrete element modelling of fracture in cemented materials

Author: Nguyen, Nhu H.T., Bui, Ha H., Nguyen, Giang D., Kodikara, J., Arooran, S., Jitsangiam, P., Nguyen, Nhu H.T., Bui, Ha H., Nguyen, Giang D., Kodikara, J., Arooran, S., and Jitsangiam, P.
Published: 2017

40. Diversity Analysis of Millimeter-Wave Massive MIMO Systems

Author: Yue, Dian-Wu, Xu, Shuai, Nguyen, Ha H., Yue, Dian-Wu, Xu, Shuai, and Nguyen, Ha H.
Abstract: This paper is concerned with asymptotic diversity analysis for millimeter-wave (mmWave) massive MIMO systems. First, for a single-user mmWave system employing distributed antenna subarray architecture in which the transmitter and receiver consist of Kt and Kr subarrays, respectively, a diversity gain theorem is established when the numbers of antennas at subarrays go to infinity. Specifically, assuming that all subchannels have the same number of propagation paths L, the theorem states that by employing such a distributed antenna-subarray architecture, a diversity gain of KrKtL-Ns+1 can be achieved, where Ns is the number of data streams. This result means that compared to the co-located antenna architecture, using the distributed antenna-subarray architecture can scale up the diversity gain or multiplexing gain proportionally to KrKt. The diversity gain analysis is then extended to the multiuser scenario as well as the scenario with conventional partially-connected RF structure in the literature. Simulation results obtained with the hybrid analog/digital processing corroborate the analysis results and show that the distributed subarray architecture indeed yields significantly better diversity performance than the co-located antenna architectures., Comment: 10 pages, 10 figures
Published: 2017

41. Reducing or increasing inequalities? The role of private water enterprises in rural Viet Nam

Author: Grant, ML, Dominish, E, Carrard, N, Bui, L, Ha, H, Nghiem,, T, Willetts, J, Grant, ML, Dominish, E, Carrard, N, Bui, L, Ha, H, Nghiem,, T, and Willetts, J
Abstract: Extreme inequalities are recognised as being detrimental to human rights and economic development (Stiglitz 2012), and in response, the 2030 Agenda for Sustainable Development has explicitly included addressing inequalities as one of the 17 Global Goals. In order to reduce inequalities an integrated approach across multiple dimensions of human development is required, including access to safe water. This research investigated stakeholder perceptions of rural piped water services in Viet Nam to better understand issues of equality, access and affordability. It asked the question: can poor households access piped water services provided by small scale private enterprises in rural Viet Nam? This question is important because little is known about whether or not poor households access piped water services, related issues of affordability of connection fees and tariffs, and other potential barriers. It is also important because private enterprises are increasingly providing piped water services in Viet Nam, supported by incentives from Government and international donors including some civil society organisations (CSOs)
Published: 2016

42. Topological constraints and modular structure in the folding and functional motions of GlpG, an intramembrane protease

Author: Schafer, Nicholas Peter, Truong, Ha H., Otzen, Daniel E., Lindorff-Larsen, Kresten, Wolynes, Peter G., Schafer, Nicholas Peter, Truong, Ha H., Otzen, Daniel E., Lindorff-Larsen, Kresten, and Wolynes, Peter G.
Published: 2016

43. Two-hop Power-Relaying for Linear Wireless Sensor Networks

Author: Bengua, Johann A., Tuan, Hoang D., Phien, Ho N., Kha, Ha H., Bengua, Johann A., Tuan, Hoang D., Phien, Ho N., and Kha, Ha H.
Abstract: This paper presents two-hop relay gain-scheduling control in a Wireless Sensor Network to estimate a static target prior characterized by Gaussian probability distribution. The target is observed by a network of linear sensors, whose observations are transmitted to a fusion center for carrying out final estimation via a amplify-and-forward relay node. We are concerned with the joint transmission power allocation for sensors and relay to optimize the minimum mean square error (MMSE) estimator, which is deployed at the fusion center. Particularly, such highly nonlinear optimization problems are solved by an iterative procedure of very low computational complexity. Simulations are provided to support the efficiency of our proposed power allocation., Comment: Submitted to IEEE ICCE 2016
Published: 2016
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44. Reweighted nuclear norm regularization : A SPARSEVA approach

Author: Ha, H., Welsh, J. S., Blomberg, Niclas, Rojas, Cristian R., Wahlberg, Bo, Ha, H., Welsh, J. S., Blomberg, Niclas, Rojas, Cristian R., and Wahlberg, Bo
Abstract: The aim of this paper is to develop a method to estimate high order FIR and ARX models using least squares with re-weighted nuclear norm regularization. Typically, the choice of the tuning parameter in the reweighting scheme is computationally expensive, hence we propose the use of the SPARSEVA (SPARSe Estimation based on a VAlidation criterion) framework to overcome this problem. Furthermore, we suggest the use of the prediction error criterion (PEC) to select the tuning parameter in the SPARSEVA algorithm. Numerical examples demonstrate the veracity of this method which has close ties with the traditional technique of cross validation, but using much less computations., QC 20161118
Published: 2015
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45. Workplace health and safety issues among community nurses: a study regarding the impact on providing care to rural consumers

Author: Terry, D, Quynh, L, Uyen, N, Ha, H, Terry, D, Quynh, L, Uyen, N, and Ha, H
Abstract: OBJECTIVES: The objective of the study was to investigate the types of workplace health and safety issues rural community nurses encounter and the impact these issues have on providing care to rural consumers. METHODS: The study undertook a narrative inquiry underpinned by a phenomenological approach. Community nursing staff who worked exclusively in rural areas and employed in a permanent capacity were contacted among 13 of the 16 consenting healthcare services. All community nurses who expressed a desire to participate were interviewed. Data were collected using semistructured interviews with 15 community nurses in rural and remote communities. Thematic analysis was used to analyse interview data. RESULTS: The role, function and structures of community nursing services varied greatly from site to site and were developed and centred on meeting the needs of individual communities. In addition, a number of workplace health and safety challenges were identified and were centred on the geographical, physical and organisational environment that community nurses work across. The workplace health and safety challenges within these environments included driving large distances between client's homes and their office which lead to working in isolation for long periods and without adequate communication. In addition, other issues included encountering, managing and developing strategies to deal with poor client and carer behaviour; working within and negotiating working environments such as the poor condition of patient homes and clients smoking; navigating animals in the workplace; vertical and horizontal violence; and issues around workload, burnout and work-related stress. CONCLUSIONS: Many nurses achieved good outcomes to meet the needs of rural community health consumers. Managers were vital to ensure that service objectives were met. Despite the positive outcomes, many processes were considered unsafe by community nurses. It was identified that greater training and cap
Published: 2015

46. Estimates of genetic parameters for growth and wood properties in Eucalyptus pellita F. Muell. to support tree breeding in Vietnam

Author: Hung, Tran D., Brawner, Jeremy T., Meder, Roger, Lee, David J., Southerton, Simon, Thinh, Ha H., Dieters, Mark J., Hung, Tran D., Brawner, Jeremy T., Meder, Roger, Lee, David J., Southerton, Simon, Thinh, Ha H., and Dieters, Mark J.
Abstract: Eucalyptus pellita demonstrated good growth and wood quality traits in this study, with young plantation grown timber being suitable for both solid and pulp wood products. All traits examined were under moderate levels of genetic control with little genotype by environment interaction when grown on two contrasting sites in Vietnam. Eucalyptus pellita currently has a significant role in reforestation in the tropics. Research to support expanded of use of this species is needed: particularly, research to better understand the genetic control of key traits will facilitate the development of genetically improved planting stock. This study aimed to provide estimates of the heritability of diameter at breast height over bark, wood basic density, Kraft pulp yield, modulus of elasticity and microfibril angle, and the genetic correlations among these traits, and understand the importance of genotype by environment interactions in Vietnam. Data for diameter and wood properties were collected from two 10-year-old, open-pollinated progeny trials of E. pellita in Vietnam that evaluated 104 families from six native range and three orchard sources. Wood properties were estimated from wood samples using near-infrared (NIR) spectroscopy. Data were analysed using mixed linear models to estimate genetic parameters (heritability, proportion of variance between seed sources and genetic correlations). Variation among the nine sources was small compared to additive variance. Narrow-sense heritability and genetic correlation estimates indicated that simultaneous improvements in most traits could be achieved from selection among and within families as the genetic correlations among traits were either favourable or close to zero. Type B genetic correlations approached one for all traits suggesting that genotype by environment interactions were of little importance. These results support a breeding strategy utilizing a single breeding population advanced by selecting the best individuals acro
Published: 2015

47. Differential Amplify-and-Forward Relaying Using Linear Combining in Time-Varying Channels

Author: Avendi, M. R., Nguyen, Ha H., Ha, Dac-Binh, Avendi, M. R., Nguyen, Ha H., and Ha, Dac-Binh
Abstract: Differential encoding and decoding can be employed to circumvent channel estimation in wireless relay networks. This article studies differential amplify-and-forward relaying using linear combining with arbitrary fixed combining weights in time-varying channels. An exact bit error rate (BER) analysis is obtained for this system using DBPSK modulation and over time-varying Rayleigh fading channels. The analysis is verified with simulation results for several sets of combining weights and in various fading scenarios., Comment: IEEE International Conference on Computing, Management and Telecommunications (ComManTel), 2015
Published: 2015
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48. Seismic Earth Pressure Development in Sheet Pile Retaining Walls: A Numerical Study

Author: Rajeev, P., Bui, Ha H., Sivakugan, N., Rajeev, P., Bui, Ha H., and Sivakugan, N.
Abstract: The design of retaining walls requires the complete knowledge of the earth pressure distribution behind the wall. Due to the complex soil-structure effect, the estimation of earth pressure is not an easy task; even in the static case. The problem becomes even more complex for the dynamic (i.e., seismic) analysis and design of retaining walls. Several earth pressure models have been developed over the years to integrate the dynamic earth pressure with the static earth pressure and to improve the design of retaining wall in seismic regions. Among all the models, MononobeOkabe (M-O) method is commonly used to estimate the magnitude of seismic earth pressures in retaining walls and is adopted in design practices around the world (e.g., EuroCode and Australian Standards). However, the M-O method has several drawbacks and does not provide reliable estimate of the earth pressure in many instances. This study investigates the accuracy of the M-O method to predict the dynamic earth pressure in sheet pile wall. A 2D plane strain finite element model of the wall-soil system was developed in DIANA. The backfill soil was modelled with Mohr-Coulomb failure criterion while the wall was assumed behave elastically. The numerically predicted dynamic earth pressure was compared with the M-O model prediction. Further, the point of application of total dynamic force was determined and compared with the static case. Finally, the applicability of M-O methods to compute the seismic earth pressure was discussed.
Published: 2015

49. Numerical modelling of sandstone uniaxial compression test using a mix-mode cohesive fracture model

Author: Gui, Yilin, Bui, Ha H., Kodikara, Jayantha, Gui, Yilin, Bui, Ha H., and Kodikara, Jayantha
Abstract: A mix-mode cohesive fracture model considering tension, compression and shear material behaviour is presented, which has wide applications to geotechnical problems. The model considers both elastic and inelastic displacements. Inelastic displacement comprises fracture and plastic displacements. The norm of inelastic displacement is used to control the fracture behaviour. Meantime, a failure function describing the fracture strength is proposed. Using the internal programming FISH, the cohesive fracture model is programmed into a hybrid distinct element algorithm as encoded in Universal Distinct Element Code (UDEC). The model is verified through uniaxial tension and direct shear tests. The developed model is then applied to model the behaviour of a uniaxial compression test on Gosford sandstone. The modelling results indicate that the proposed cohesive fracture model is capable of simulating combined failure behaviour applicable to rock.
Published: 2015

50. [the Arctic] Ocean temperature and salinity [in: State of the Climate in 2013]

Author: Timmermans, M.-L., Ashik, I., Frolov, I., Ha, H. K., Ingvaldsen, R., Kikuchi, T., Kim, T. W., Krishfield, R., Loeng, H., Nishino, S., Pickart, R., Polyakov, I., Rabe, Benjamin, Schauer, Ursula, Schlosser, P., Smethie, W. M., Sokolov, V., Steele, M., Toole, J., Williams, W., Woodgate, R., Zimmerman, S., Timmermans, M.-L., Ashik, I., Frolov, I., Ha, H. K., Ingvaldsen, R., Kikuchi, T., Kim, T. W., Krishfield, R., Loeng, H., Nishino, S., Pickart, R., Polyakov, I., Rabe, Benjamin, Schauer, Ursula, Schlosser, P., Smethie, W. M., Sokolov, V., Steele, M., Toole, J., Williams, W., Woodgate, R., and Zimmerman, S.
Published: 2014

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