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This study proposed a novel foaming cement heat preservation block with heat storage, peak clipping, and temperature adjustment functions. To produce such cements, a paraffin/expansion graphite composite phase change heat storage material with a phase transition temperature of 41.9℃ and a enthalpy value of 207.6 J/g was prepared. Then the composite phase change material (PCM) loaded paraffin at 44℃ into expanded graphite and then was mixed cement uniformly. The porous structure of the foamed cement has light weight and good heat preservation capacity so that then composite PCM can effectively store heat energy and shave the load peak. To investigate the characteristics of the proposed material, this focuses on the physical structure, thermal storage capacity and thermal insulation performance when the material mass fractions of PCM are 10%、15%、20%、25% and 30%. The experimental results show that with the increase of the mass fraction of PCM, the thermal storage capacity and thermal insulation properties of the foamed cement increases. In addition, there is no chemical reaction between the materials. The results show a the proposed material has a potential in creating efficient thermal insulation walls.

Voltage in distribution system is becoming a major concerns as increasing penetration of intermittent distributed energy resource and modern load such as electric vehicles(EVs). In this paper, a transactive energy control is proposed to engage energy storage users to participate in the auxiliary service of distribution network for voltage stability. A local market mechanism is designed and dynamic Bertrand price auction is utilized to realize the trading. Simulation results conducted on the modified IEEE-33 distribution network demonstrate the effectiveness of the proposed strategy.

A device-based health conditions monitoring and diagnosis method for inverters is present. In the inverter, SiCGTO (Gate-Turn-Off Thyristor) is considered as the key device to achieve pulse-width modulation. So the performance degradation of SiC-GTO device induced by interface-states is critical for the health conditions of inverters. In the research, key electrical parameters, including the forward blocking voltage and the dynamic switch characteristics, are evaluated for SiC-GTO device with elevated interface-states density. Results indicate that the forward blocking voltage, turn-on/off speed and gate drive current can be used as precursors for the failure. Based on further study, a test structure and an indirect precursor are developed for feasibly application on health prognostics algorithms (data-driven or physics-based) of failure with interface-states accumulation as a mechanism.

In Cognitive radio networks (CRN), secondary users(SUs) can access the unlicensed channel dymanically, but must vacate the spectrum on the appearance of primary users(PUs). Therefore multiple SUs will be affected, which will cause the network partition if there is no other backup channels. We combine power control and channel assignment to construct a bi-channel connected and conflict-free topology with the minimum number of required channels. Based on CGCA algorithm, we propose the improved CGCA algorithm. Particularly, we construct an underlying topology robust against interruption of PUs activities, then we assign channels to each SU according to graph coloring to achieve conflict-free transmission. Note that, the local spanning tree may be not connected after deleting SU nodes. We present the improved MPH algorithm to make it connected, whose philosophy is to give priority to the link on these nodes who have the large path weights, and its been proved that the improved MPH algorithm can achieve connecting the network while reducing the cost. Furthermore, considering that the centralized topology control algorithm will lose efficacy under the circumstance that the original topology will be divided into two parts after deleting the SU nodes by which they are connected with each other. Specifically for this situation we utilize an algorithm of adding SU nodes at the middle of the shortest link between all these edges to make the divided parts connected. Simulation has verified the correctness and effectiveness of the ICGCA algorithm.

We study the probe selection problem in all-optical networks for achieving unambiguous faulty links localization with two monitors in failure detection phase and one monitor in failure localization phase. The existing random walk algorithm can find feasible solutions to localize the faulty links unambiguously, but it consumed large number of probes and wavelengths in large-size networks. In this paper, we proposed a new heuristic probe selection algorithm based on adaptive probing to solve these two problems. We develop algorithms for probe selection to perform failure detection and failure localization. We show that a network must be (k+1)-edge connectivity for localizing k faulty links with one monitoring node. Compared with random walk, probe selection algorithm greatly shortens the number of probes and consumed wavelengths per link.

With the current communication network failures intensifying, they have characteristics of complexity and adaptability. This is no longer possible that networks can completely resist all kinds of network attacks. Targeted attacks and random failures may cause link or node removal, which in turn can cause significant disruption to the availability of network services. Designing a network topology to provide acceptable levels of service in the face of these challenges can prolong the network lifetime. In this paper, an iteration algorithm called average efficiency improved (AE-improved) algorithm is presented to improve the given robustness functions. The algorithm improves the topology resilience of three complex networks by adding a set of links to maximize the average efficiency of a network. Then, non-improved and improved graphs are evaluated by applying random failure and centrality-based attacks to examine their resilience. The results show that compared with other optimization algorithms, the AE-improved algorithm we proposed yields the best network resilience against such attacks among the studied robustness metrics.

In previous work, a four piezoelectric crab-leg suspensions micro vibratory stage, which could provide up to 280o/s transient angular rate, was used for in-situ self-calibration of generic MEMS gyroscopes [1]. In this paper, the prognostic of high-g response of generic MEMS accelerometers or acceleration switches is taking into consideration to improve the integrity of in-situ health prognostic method for MEMS inertial sensors. Firstly, the dynamic behavior of the mass-spring system under forced vibration is analyzed to acquire the equations between the micro vibrator's characteristics and the accelerometer's high-g response. Then, the parameters of the four crab-leg micro vibrator are calculated with the acquired relation equations and simulated to meet the prognostic requirement of both high-g and high angular rate responses. Finally, an experiment, using the commercial MEMS accelerometer AD22281 mounted on a z-axis vibrator, demonstrates up to 11g response of acceleration with the 250Hz vibration rate and 50μm vibration amplitude, and proves the feasibility of prognostic both high g and angular rate characteristics of generic MEMS inertial sensors with micro vibrator.

When solar radiation reaches its peak value during the midday, buildings' external walls absorb the highest amount of heats and result in dramatic spikes in cooling load and energy consumption. To flatten the energy peak, promote energy efficiency, and preserve thermal comfort, this study developed a novel foamed thermal insulation cement block with extraordinary heat storage capacity. To prepare the proposed foamed cement block, a paraffin/expanded graphite composite phase change heat storage material with a phase transition temperature of 41.9 °C and an enthalpy value of 207.8 J/g was used to load paraffin into expanded graphite in a water bath at 44 °C. After mixing the paraffin/expanded graphite composite phase change material (PCM) with cement, foams were added, stirred and poured into the mold to make a novel foaming cement thermal insulation block. Due to its porous structure, the foamed cement has lightweight as well as high heat preservation capacity. To investigate the characteristics of the proposed material, this investigated its physical structure, thermal conductivity, and heat energy storage performance when the material mass fractions of PCM are 10%, 15%, 20%, 25% and 30%, and regular (pure) cement blocks. The experimental results show that there is no chemical reaction during material preparation. In addition, composite materials’ PCM mass fraction and their thermal storage capacity increase simultaneously. The comprehensive analysis shows that foamed cement blocks with 30% PCM contents have the best thermal energy storage performance and can maintain the lowest average indoor temperature. Therefore, the proposed foamed cement blocks can be applied to building outer surfaces and sandwiched middle enclosures to develop energy efficiency insulation walls.

This paper presents a new three-dimensional method to braid a net-shape preform with rounding chamfer. This new method is mainly based on the 4-step method. It needs six steps to finish one cycle. For the traditional braiding method it needs eight steps to form a L- shape preform. Due to the different braiding processes referred above the yarn topology is different. After the preforms are impregnated with matrix, the interior unit cells between the two kinds of composite referred above are compared. The interior unit cell of the composite with rounding chamfer consists of four yarns while the other contains five yarns. The corner of the L-shape composite is cut to form the same dimensional rounding chamfer. The specimen of the two kinds of composites is tested. The flexural experiment shows that composite manufactured by the new method performs better due to the structural integrity.

The European Society for Medical Oncology (ESMO) and the American Society of Clinical Oncology (ASCO) are publishing a new edition of the ESMO/ASCO Global Curriculum (GC) thanks to contribution of 64 ESMO-appointed and 32 ASCO-appointed authors. First published in 2004 and updated in 2010, the GC edition 2016 answers to the need for updated recommendations for the training of physicians in medical oncology by defining the standard to be fulfilled to qualify as medical oncologists. At times of internationalisation of healthcare and increased mobility of patients and physicians, the GC aims to provide state-of-the-art cancer care to all patients wherever they live. Recent progress in the field of cancer research has indeed resulted in diagnostic and therapeutic innovations such as targeted therapies as a standard therapeutic approach or personalised cancer medicine apart from the revival of immunotherapy, requiring specialised training for medical oncology trainees. Thus, several new chapters on technical contents such as molecular pathology, translational research or molecular imaging and on conceptual attitudes towards human principles like genetic counselling or survivorship have been integrated in the GC. The GC edition 2016 consists of 12 sections with 17 subsections, 44 chapters and 35 subchapters, respectively. Besides renewal in its contents, the GC underwent a principal formal change taking into consideration modern didactic principles. It is presented in a template-based format that subcategorises the detailed outcome requirements into learning objectives, awareness, knowledge and skills. Consecutive steps will be those of harmonising and implementing teaching and assessment strategies. ispartof: ESMO Open vol:1 issue:5 ispartof: location:England status: published

Medical activities produce a huge amounts of medical data which include a large number of redundant data. Feature selection is an effective method to remove the redundant data. Selecting the feature attributes needs to determine a threshold. Currently, the thresholding value is mainly set by one's determination manually, which may lead to inaccurate threshold. In this paper proposes forward an adaptive threshold method combining Bhattacharyya distance and support vector machines (SVM). The experimental results show that the proposed method not only makes a high credibility threshold, but also improves classification work efficiency.

This paper presented a 3E scenario analysis system, which integrated the advanced technologies in fields of the forecast of civilian vehicles, life-cycle analysis of clean fuels, and CO2 control and so on. By the help of this system, the energy demand, environment influence as well as correlated economy of new generation road traffic in China can be forecasted exactly. The research can provide the guidance to police making in road traffic, and established the theoretical fundamental for further scenario research.

SMA asphalt mixture is the old airport pavement overlay of asphalt concrete most commonly used technical solutions, combined with the previous runway coagulation Concrete Asphalt design, from the perspective of Asphalt Mixture Design. Laboratory produced using different asphalt modifier, additives (fiber, anti-rutting agent) to form several SMA asphalt mixture. Laboratory tests are to be determined each program's conventional indicators, such as pavement rutting performance. Analysis of test results, the final mixture is to be determined the optimal program. The results showed that SBS star relative linear modifier better road performance, the selection of PAN fiber than the lignin additive mixture of additives on the adhesion, crack resistance, resistance to water damaging have a larger increase, which for the SMA in the application of the runway asphalt concrete pavement to provide a basis for improvement.

Many works have been devoted to connectivity of wireless sensor networks. This is an important feature for wireless sensor networks (WSNs) to provide the nodes with the capability of communicating with one or several sinks.To operate successfully a sensor network must also provide satisfactory connectivity so that nodes can communicate for data fusion and reporting to base stations. Connectivity affects the robustness and achievable throughput of communication in a sensor network. We provide an experimental analysis of the fundamental relationship between network connectivity and the density of nodes, as well as the relationship between network connectivity and the nodes’ transmitting ranges. Extensive experimental results prove that our method is feasible and leads to a more accurate thresholds.

The plateau environmental quality while vehicle engine using was generalized. The influence of plateau environmental condition on vehicle engine characteristics was analyzed. The proving test program of vehicle enginepsilas plateau compatibility was given based on the analysis of the influence of plateau environmental condition on vehicle enginepsilas performance and compatibility. By using the improved analytic hierarchy process (improved AHP) as a comprehensive evaluation method based on proving test data, the comprehensive evaluation model of plateau compatibility on vehicle engine was constructed and a example for practical evaluation was given. The results showed that the improved evaluation model for correctly evaluating vehicle enginepsilas plateau compatibility was effective.