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In this study, the nano-to bulk-scale fracture behaviors of a dual phase (DP) steel were investigated by combining a micro-digital-image-correlation (micro-DIC) technique and the finite element method (FEM). The emergence of surface cracks and nano-to bulk-scale strain distributions during plastic deformations were investigated using micro-DIC and macro-DIC techniques. FEM simulations were conducted to calculate the stress state of the damaged regions that could not be directly obtained from experiments. By combining nano- and bulk-scale observations, fracture strain and stress triaxiality of both scales were determined into model parameters for predicting the material damage behavior. The accuracy of the present damage model parameters was confirmed by comparing the load–displacement curves obtained from experimental result and proposed method. This new strategy of combining micro-scale deformation behavior and bulk-scale damage analysis facilitates defining damage model parameters through observing a wide range of regions with only one or two specimens, which is opposed to the conventional method that requires bulk-scale observations in multiple loading condition.

High-Level Synthesis (HLS) tools allow the generation of a large variety of hardware implementations from the same specification by setting different optimization directives. Each combination of HLS directives returns an implementation of the target application that is based on a particular microarchitecture. Designers are interested only in the subset of implementations that correspond to Pareto-optimal points in the performance versus cost design space. Finding this subset is hard because the relationship between the HLS directives and the Pareto-optimal implementations cannot be foreseen. Hence, designers must default to an exploration of the design space through many time-consuming HLS runs. We present a methodology that infers knowledge from past design explorations to identify high-quality directives for new target applications. To this end, we formulate a novel abstract representation of applications and their associated configuration spaces, introduce a similarity metric to compare quantitatively the configuration spaces of different applications, and a method to infer actionable information from a source space to a target space. The experimental results with the MachSuite benchmarks show that our approach retrieves close approximations of the Pareto frontier of best-performing implementations for the target application, in exchange for a small number of HLS runs.

Deep learning is revolutionizing many aspects of our society, addressing a wide variety of decision-making tasks, from image classification to autonomous vehicle control. Matrix multiplication is an essential and computationally intensive step of deep-learning calculations. The computational complexity of deep neural networks requires dedicated hardware accelerators for additional processing throughput and improved energy efficiency in order to enable scaling to larger networks in the upcoming applications. Silicon photonics is a promising platform for hardware acceleration due to recent advances in CMOS-compatible manufacturing capabilities, which enable efficient exploitation of the inherent parallelism of optics. This article provides a detailed description of recent implementations in the relatively new and promising platform of silicon photonics for deep learning. Opportunities for multiwavelength microring silicon photonic architectures codesigned with field-programmable gate array (FPGA) for pre- and postprocessing are presented. The detailed analysis of a silicon photonic integrated circuit shows that a codesigned implementation based on the decomposition of large matrix-vector multiplication into smaller instances and the use of nonnegative weights could significantly simplify the photonic implementation of the matrix multiplier and allow increased scalability. We conclude this article by presenting an overview and a detailed analysis of design parameters. Insights for ways forward are explored.

Probable maximum precipitation (PMP) means the maximum precipitation that can occur under the most severe weather conditions at specific area and rainfall duration in watershed. Greenhouse gas emissions in the atmosphere have increased due to industrialization caused by economic development and population growth. As a result, natural disaster damage from climate change is rapidly increasing because of many abnormal climates and phenomena. Futhemore, PMP has been increased due to such climate change. There are several methods for estimating PMP; statistical method, hydrometeorlogical method, and encelope method. In this study, statistical PMP was calculated using observed data up to 2020, and future PMP was estimated using the RCP 4.5 and RCP 8.5 scenarios up to 2100. The Hershfield’s method was used to calculate the statistical PMP, World meteorological organization (WMO) introduced the statistical method suggested by Hershfield (1961) in which frequency factor was 15. However, the frequency factor of 15 was reported to be too large in the area with heavy rainfall and too small in a dry area. Therefore, Hershfield (1965) suggested the range of 5 ~ 20 as a frequency factor. In this study, PMPs for observed(historical) data and simulated data from RCP 4.5 and RCP 8.5 scenarios were calculated. Then the frequency factors were compared with those suggested by Hershfield. Finally, the derived statistical PMPs were compared with those from hydrometeorlogical method.

One of the most critical aspects of integrating loosely-coupled accelerators in heterogeneous SoC architectures is orchestrating their interactions with the memory hierarchy, especially in terms of navigating the various cache-coherence options: from accelerators accessing off-chip memory directly, bypassing the cache hierarchy, to accelerators having their own private cache. By running real-size applications on FPGA-based prototypes of many-accelerator multi-core SoCs, we show that the best cache-coherence mode for a given accelerator varies at runtime, depending on the accelerator's characteristics, the workload size, and the overall SoC status. Cohmeleon applies reinforcement learning to select the best coherence mode for each accelerator dynamically at runtime, as opposed to statically at design time. It makes these selections adaptively, by continuously observing the system and measuring its performance. Cohmeleon is accelerator-agnostic, architecture-independent, and it requires minimal hardware support. Cohmeleon is also transparent to application programmers and has a negligible software overhead. FPGA-based experiments show that our runtime approach offers, on average, a 38% speedup with a 66% reduction of off-chip memory accesses compared to state-of-the-art design-time approaches. Moreover, it can match runtime solutions that are manually tuned for the target architecture., To appear in the 54th IEEE/ACM Symposium on Microarchitecture (MICRO 2021)

Recent trends in higher education financing have increased students’ need to borrow to afford college. This brief examines how federal student loan borrowing has changed from 2000 to 2016 by student race/ethnicity using logistic regression analysis and data from the National Postsecondary Student Aid Study (NPSAS). We find that the odds of borrowing have diverged over time across racial and ethnic subgroups even after controlling for institutional sector and students’ financial circumstances. This divergence in student loan borrowing has important implications for policymakers and researchers interested in closing racial gaps in college access and success.

We compared the effects of benzydamine hydrochloride (BH), 10% lidocaine, and normal saline spray on preventing postoperative sore throat (POST) in patients who underwent total thyroidectomy (TT).In this prospective, randomized, parallel-group, double-blind study, the incidence of POST at six hours after tracheal extubation was compared among three groups as a primary outcome. American Society of Anesthesiologists physical status I-II patients undergoing elective TT under general anesthesia were enrolled. Patients were randomly stratified into group C (n = 33, normal saline), group L (n = 33, 10% lidocaine), or group B (n = 33, 0.3% BH). The participants, caregiver, and investigator were blinded to group assignment. Each study drug was sprayed three times on the endotracheal tube (ETT) cuff ten seconds before intubation. Incidence and severity of POST were recorded within 24 hr postoperatively (during postanesthesia care unit stay, and at six, 12, and 24 hr after extubation). P values were adjusted for multiple comparisons.Ninety-nine patients were enrolled. Eighty-seven patients completed the study. The incidence of POST at six hours after tracheal extubation was similar among the three groups (group C: 31 [93.9%], group L: 29 [87.9%], and group B: 27 [81.8%]; P = 0.38). Nevertheless, the incidence of POST was significantly different among the three groups at 12 and 24 hr after TT (12 hr: P = 0.002, 24 hr: P = 0.01). The severity of POST after tracheal extubation was statistically different among the study groups (6 hr: P = 0.04, 12 hr: P = 0.01). No adverse effects were observed.Application of BH spray on the ETT cuff reduced the incidence and severity of POST at 12 hr after TT. We suggest this method to be a non-invasive and effective management option for POST without serious side effects.Clinical Research Information Service (KCT0002627); registered 24 November, 2017.RéSUMé: OBJECTIF: Nous avons comparé les effets de la vaporisation de chlorhydrate de benzydamine (CB), de lidocaïne 10 %, ou de solution saline sur la prévention des maux de gorge postopératoires chez les patients subissant une thyroïdectomie totale (TT). MéTHODE: Dans cette étude prospective, randomisée, en parallèle et à double insu, l’incidence des maux de gorge postopératoires six heures après l’extubation trachéale a été comparée dans trois groupes pour répondre à notre critère d’évaluation principal. Des patients de statut physique I-II selon l’American Society of Anesthesiologists et subissant une TT non urgente sous anesthésie générale ont été recrutés. Les patients ont été aléatoirement alloués au groupe C (n = 33, solution saline), au groupe L (n = 33, lidocaïne 10 %), ou au groupe B (n = 33, CB 0,3 %). Les participants, anesthésistes et chercheurs ne connaissaient pas l’allocation de groupe. Chaque médicament étudié était vaporisé trois fois sur le ballonnet du tube endotrachéal (TET) dix secondes avant l’intubation. L’incidence et la gravité des maux de gorge postopératoires ont été enregistrées dans les 24 heures postopératoires (pendant le séjour en salle de réveil, et à six, 12 et 24 h après l’extubation). Les valeurs P ont été ajustées pour tenir compte des comparaisons multiples. RéSULTATS: Quatre-vingt-dix-neuf patients ont été recrutés. Quatre-vingt-sept patients ont terminé l’étude. L’incidence des maux de gorge postopératoires à six heures après l’extubation trachéale était semblable dans les trois groupes (groupe C : 31 [93,9 %], groupe L : 29 [87,9 %], et groupe B : 27 [81,8 %]; P = 0,38). Toutefois, l’incidence de maux de gorge postopératoires était significativement différente entre les trois groupes à 12 et 24 h après la TT (12 h : P = 0,002, 24 h : P = 0,01). La gravité des maux de gorge postopératoires après l’extubation trachéale était différente d’un point de vue statistique entre les groupes à l’étude (6 h : P = 0,04, 12 h : P = 0,01). Aucun effet secondaire indésirable n’a été observé. CONCLUSION: Le recours à une vaporisation de chlorhydrate de benzydamine sur le ballonnet du tube endotrachéal a réduit l’incidence et la gravité des maux de gorge postopératoires à 12 h après une thyroïdectomie totale. Selon nos résultats, cette méthode constitue une option de prise en charge non invasive et efficace des maux de gorge postopératoires sans effets secondaires importants. ENREGISTREMENT DE L’éTUDE: Clinical Research Information Service (KCT0002627); enregistrée le 24 novembre 2017.

How colleges make admissions decisions at four-year institutions is facing high levels of scrutiny. Students, families, and policymakers are asking how offices of admissions decide to admit student...

High-level synthesis (HLS) frameworks allow to easily specify a large number of variants of the same hardware design by only acting on optimization directives. Nonetheless, the hardware synthesis of implementations for all possible combinations of directive values is impractical even for simple designs. Addressing this shortcoming, many HLS design space exploration (DSE) strategies have been proposed to devise directive settings leading to high-quality implementations while limiting the number of synthesis runs. All these works require considerable efforts to validate the proposed strategies and/or to build the knowledge base employed to tune abstract models, as both tasks mandate the syntheses of large collections of implementations. Currently, such data gathering is performed ad hoc: 1) leading to a lack of standardization, hampering comparisons between DSE alternatives; and 2) posing a very high burden to researchers willing to develop novel DSE strategies. Against this backdrop, we here introduce DB4HLS, a database of exhaustive HLS explorations comprising more than 100 000 design points collected over four years equivalent of synthesis time. The open structure of DB4HLS allows the incremental integration of new DSEs, which can be easily defined with a dedicated domain-specific language. We think that of our database, available at https://www.db4hls.inf.usi.ch/,https://www.db4hls.inf.usi.ch/, will be a valuable tool for the research community investigating automated strategies for the optimization of HLS-based hardware designs.

High-level synthesis (HLS) raises the level of design abstraction, expedites the process of hardware design, and enriches the set of final designs by automatically translating a behavioral specification into a hardware implementation. To obtain different implementations, HLS users can apply a variety of knobs, such as loop unrolling or function inlining, to particular code regions of the specification. The applied knob configuration significantly affects the synthesized design's performance and cost, e.g., application latency and area utilization. Hence, HLS users face the design-space exploration (DSE) problem, i.e. determine which knob configurations result in Pareto-optimal implementations in this multi-objective space. Whereas it can be costly in time and resources to run HLS flows with an enormous number of knob configurations, machine learning approaches can be employed to predict the performance and cost. Still, they require a sufficient number of sample HLS runs. To enhance the training performance and reduce the sample complexity, we propose a transfer learning approach that reuses the knowledge obtained from previously explored design spaces in exploring a new target design space. We develop a novel neural network model for mixed-sharing multi-domain transfer learning. Experimental results demonstrate that the proposed model outperforms both single-domain and hard-sharing models in predicting the performance and cost at early stages of HLS-driven DSE.

Background Myocardial injury after non-cardiac surgery (MINS) has recently been accepted as a predictor of mortality. However, sex differences in the incidence of MINS and survival thereafter are not fully understood. This study aimed to compare the incidence of MINS and mortality among male and female patients. Methods This single-center study was conducted using the database of a large tertiary referral hospital. Consecutive patients with cardiac troponin (cTn) detected within 30 days after non-cardiac surgery performed between January 2010 and June 2019 were grouped according to sex. The incidence of MINS and mortality of patients with MINS were compared between men and women. Results Of the 33,311 patients, 18,546 (55.7%) were men and 14,765 (44.3%) were women. In a multivariable analysis, women showed a significantly lower incidence of MINS than did men (17.9% vs. 14.2%; odds ratio, 0.76; 95% confidence interval [CI], 0.71–0.81; P P Conclusion The incidence of MINS was lower in women than in men. In patients with MINS, female sex may be associated with a survival benefit. Further studies are needed to confirm these findings.

Mesenchymal stem cells (MSCs) are of particular interest for the treatment of immune-related diseases due to their immunosuppressive capacity. Here, we show that Small MSCs primed with Hypoxia and Calcium ions (SHC-MSCs) exhibit enhanced stemness and immunomodulatory functions for treating allogeneic conflicts. Compared with naïve cultured human umbilical cord blood-derived MSCs, SHC-MSCs were resistant to passage-dependent senescence mediated via the monocyte chemoattractant protein-1 and p53/p21 cascade and secreted large amounts of pro-angiogenic and immunomodulatory factors, resulting in suppression of T-cell proliferation. SHC-MSCs showed DNA demethylation in pluripotency, germline, and imprinted genes similarly to very small embryonic-like stem cells, suggesting a potential mutual relationship. Genome-wide DNA methylome and transcriptome analyses indicated that genes related to immune modulation, cell adhesion, and the cell cycle were up-regulated in SHC-MSCs. Particularly, polo-like kinase-1 (PLK1), zinc-finger protein-143, dehydrogenase/reductase-3, and friend-of-GATA2 play a key role in the beneficial effects of SHC-MSCs. Administration of SHC-MSCs or PLK1-overexpressing MSCs significantly ameliorated symptoms of graft-versus-host disease (GVHD) in a humanized mouse model, resulting in significantly improved survival, less weight loss, and reduced histopathologic injuries in GVHD target organs compared with naïve MSC-infused mice. Collectively, our findings suggest that SHC-MSCs can improve the clinical treatment of allogeneic conflicts, including GVHD.

Practical demand for the expansion of military ammunition and explosives storage in both volume and number has been increased, but due to the regulations applying on safety distance that require those facilities to be isolated from a civilian presence there are constant complications that arise. Recent incidents include petitions to either alleviate said regulations or relocate several ammunition storage facilities neighboring civilian areas are further development. Two types of underground ammunition storage facilities wold be considered in practice; the first is the tunnel-type which is applicable to areas that have sufficient depth of the cover and the latter is the sub-surface type that retains a sufficient depth of soli layer which can especially be utilized in areas that do not meet clearance requirements nor have geographical limitations. For the sub-surface type storage, there are two construction schemes for construction to meet safety-distance requirements. The existing popular ECMs (Earth Covered Magazines) have shallow soil cover for just plantation camouflage that is not affect the pressure suppression effect due to the internal explosion. Therefore, the scheme of the increasing soil cover depth to some amount, if applicable, pressure and fragment suppression can be achieved. The open-cut method for new construction is easily applied for this purpose in the field. This study addresses the safety distance reduction effect by increasing the soil cover depth on the ECM type storage facility by applying theoretical and numerical analysis.

Principal objectives of the protective design are on protecting life, property, facility, system device and operations by developing protective design measures that reduce threat level and vulnerability while enhancing structural resilience. Protective design procedure against blast hazard would be accomplished with the threat identification, risk-based assessment, and designing the members and structures based on the proper design requirements. Considerable necessity before the protective design is to find out the various measures reducing the blast effect such as security measures, architectural configuration, and mitigation schemes without any structural strengthening the structure itself. This paper addresses the mitigation scheme to reduce the blast overpressure in general, and then a specific barrier type is introduced as sacrificial structures with the performance verification. The general schemes to reduce the blast pressure by installing barriers is mainly using RC type structures which have typical shapes and sizes. This barrier type has advantages both on installing easiness and cost. In the barrier type sacrificial wall structure, instead of using the normal RC structures, enhanced-cement concrete and composites are useful to improve protective performance and scabbing of the back surface of the RC walls. A series of the wall type RC barriers are modeled and fabricated to investigate and verify blast pressure migration and protective performance based on theoretical and numerical analysis.

We present our work at Columbia University teaching the design and programming of heterogeneous computing architectures with SLD methods. Over the past eight years, we have developed a new course, System-on-Chip Platforms, with the main goal of preparing students to contribute to the new economy of heterogeneous computing and open-source hardware. The course was one of the first nationwide to introduce the use of commercial high-level synthesis tools for the design of application-specific hardware accelerators. We also introduced the idea of structuring the final project as a design-space exploration contest that combines aspects of collaborative engineering and design for reusability.

Logic synthesis and physical design (LSPD) tools automate complex design tasks previously performed by human designers. One time-consuming task that remains manual is configuring the LSPD flow parameters, which significantly impacts design results. To reduce the parameter-tuning effort, we propose an LSPD parameter recommender system that involves learning a collaborative prediction model through tensor decomposition and regression. Using a model trained with archived data from multiple state-of-the-art 14nm processors, we reduce the exploration cost while achieving comparable design quality. Furthermore, we demonstrate the transfer-learning properties of our approach by showing that this model can be successfully applied for 7nm designs.

Time difference of arrivals) (TDoA)-based location tracking systems using RF and ultrasonic signals often give unacceptable errors due to the line-of-sight limitation of the ultrasonic signal. To overcome this limitation, many researchers have devoted their efforts using various methods. To further enhance accuracy and improve performance, this paper proposes a novel TDoA-based location tracking technique that explicitly exploits ultrasonic reflections in location estimation. We also propose a reflection plane detection method, which makes system configuration easy for the proposed reflection-aware location tracking algorithm. The proposed system can achieve a high location accuracy with errors smaller than 35 cm even when the lines of sight of ultrasonic signals are frequently blocked and hence they are received through reflections.

Advanced logic and physical synthesis tools provide numerous options and parameters that can drastically impact design quality; however, the large number of options leads to a complex design space difficult for human designers to navigate. By employing intelligent search strategies and parallel computing we can tackle this parameter tuning problem, thus automating one of the key design tasks conventionally performed by a human designer. To fully utilize the optimization potential of these tools, we propose SynTunSys, a system that adds a new level of abstraction between designers and design tools for managing the design space exploration process. SynTunSys takes control of the synthesis parameter tuning process, i.e., job submission, results analysis, and next-step decision making, automating one of the more difficult decision processes faced by designers. This system has been employed for optimizing multiple IBM high-performance server chips and presents numerous opportunities for future intelligent automation research.

Enhanced electrochemiluminescence (ECL) of luminol was reported with the use of dendrimer-encapsulated Au nanoparticle (Au DEN)-modified ITOs in the presence of hydrogen peroxide, which was applied for sensitive ECL-based electroanalysis of hydrogen peroxide. The enhanced ECL of luminol in the presence of hydrogen peroxide was attributed to facile electrochemical oxidation of luminol/hydrogen peroxide on the Au DEN-modified ITOs at potentials as low as ∼0.4 V (vs. Ag/AgCl). Spooling ECL spectroscopy measurements indicated that the enhanced ECL emission of luminol/hydrogen peroxide system on the Au DEN-modified ITOs originated from excited 3-aminophthalate as same as that obtained on bare ITOs. Stability of Au DENs on ITO surfaces was also addressed and found to be closely related with the presence of chloride ions in electrolyte solutions.

Mesenchymal stem cells (MSCs) have the ability to self-renew and differentiate into multi-lineage cells, thus highlighting the feasibility of using umbilical cord blood-derived MSCs (UCB-MSCs) for cell-therapy and tissueengineering. However, the low numbers of UCB-MSC derived from clinical samples requires that an ex vivo expansion step be implemented. As most stem cells reside in low oxygen tension environments (i.e., hypoxia), we cultured the UCBMSCs under 3% O 2 or 21% O 2 and the following parameters were examined: proliferation, senescence, differentiation and stem cell specific gene expression. UCB-MSCs cultured under hypoxic conditions expanded to significantly higher levels and showed less senescence compared to UCB-MSCs cultured under normoxic conditions. In regards to differentiation potential, UCB-MSCs cultured under hypoxic and normoxic conditions both underwent similar levels of osteogenesis as determined by ALP and von Kossa assay. Furthermore, UCB-MSCs cultured under hypoxic conditions exhibited higher expression of OCT4, NANOG and SOX2 genes. Moreover, cells expanded under hypoxia maintained a stem cell immnunophenotype as determined by flow cytometry. These results demonstrate that the expansion of human UCB-MSCs under a low oxygen tension microenvironment significantly improved cell proliferation and differentiation. These results demonstrate that hypoxic culture can be rapidly and easily implemented into the clinical-scale expansion process in order to maximize UCB-MSCs yield for application in clinical settings and at the same time reduce culture time while maintaining cell product quality.

The cardioprotective effects of volatile anesthetics versus total intravenous anesthesia (TIVA) are controversial, especially in patients undergoing non-cardiac surgery. Using current generation high-sensitivity cardiac troponin (hs-cTn), we aimed to evaluate the effect of anesthetics on the occurrence of myocardial injury after non-cardiac surgery (MINS). From February 2010 to December 2016, 3555 patients without preoperative hs-cTn elevation underwent non-cardiac surgery under general anesthesia. Patients were grouped according to anesthetic agent, 659 patients were classified into a propofol-remifentanil total intravenous anesthesia (TIVA) group, and 2896 patients were classified into a volatile group. To balance the use of remifentanil between groups, a balanced group (n = 1622) was generated with patients who received remifentanil infusion in the volatile group, and two separate comparisons were performed (TIVA vs. volatile and TIVA vs. balanced). The primary outcome was occurrence of MINS, defined as rise of hs-cTn I &ge, 0.04 ng/mL within postoperative 48 hours. The secondary outcomes were 30-day mortality, postoperative acute kidney injury (AKI), and adverse events during hospital stay (mortality, type I myocardial infarction (MI), and new-onset arrhythmia). In propensity-matched analyses, the occurrence of MINS was lower in the TIVA group compared to the volatile group (OR 0.642, 95% CI 0.450&ndash, 0.914, p = 0.014). However, after balancing the use of remifentanil, there was no difference between groups in the risk of MINS (OR 0.832, 95% CI 0.554&ndash, 1.251, p-value = 0.377). There were no significant associations between the two groups in type 1 MI, new-onset atrial fibrillation, in-hospital and 30-day mortality before and after balancing the use of remifentanil. However, the incidence of postoperative AKI was lower in the TIVA group (OR 0.362, 95% CI 0.194&ndash, 0.675, p-value = 0.001). After balancing the use of remifentanil, volatile anesthesia and TIVA showed comparable effects on MINS in patients undergoing non-cardiac surgery without preoperative myocardial injury. Further studies are needed on the benefit of remifentanil infusion.

We report a method to tailor chemically converted graphenes (CCGs) using a water-soluble pyrene derivative (1) with a zwitterionic arm, and the feasibility of the tailored CCGs to sensitive electrochemiluminescence (ECL)-based analyses. The compound 1 serves the dual purpose of improving the dispersion of the CCGs in aqueous solutions and further tailoring the catalytic activity of the CCGs with dendrimer-encapsulated catalytic nanoparticles. As a model system, we conjugated dendrimer-encapsulated Pt nanoparticles to the 1-functionalized CCGs on indium tin oxide (ITO) electrodes. The resulting ITOs exhibited significantly increased ECL emission of the luminol/H2O2 ECL system; i.e. two orders-of-magnitude enhancement in the ECL compared to that obtained from bare ITOs, which allowed a ca. 154 times more sensitive ECL-based analysis of cholesterol using the modified ITOs compared with the use of bare ITOs.

Past researches on multicore scheduling assume that a computational unit has already been parallelized into a prefixed number of threads. However, with recent technologies such as OpenCL, a computational unit can be parallelized in many different ways with runtime selectable numbers of threads. This paper proposes an optimal algorithm for parallelizing and scheduling a set of parallel tasks with multiple parallelization options on multiple CPU cores. The proposed algorithm is validated through both simulation and actual implementation. To the best of our knowledge, this is the first work addressing the problem of scheduling real-time tasks with multiple parallelization options on multiple CPU cores.

In this paper, instead of the input device that is limited to two-dimensional interfaces, we propose input device which is suitable for the virtual display and three-dimensional interfaces. We suggest the wearable device which is capable of 4-DOF continuous intensity input by using the signal extracted through the AHRS and the EMG electrode attached to the hand. By using this device, it is possible not only to represent the movement of the user’s arm but also to reflect the intensity of holding the fist using the magnitude of the EMG. This interface is designed as a universal interface applicable to various displays, and in order to be applied to different locations and to be used in the same way, a wearable-type was selected. In this paper, we present the structure, shape and implementation of the interface and we evaluated the applicability of the device through experiments and simple applications based on MATLAB. Input devices proposed in this paper, was confirmed superior in ease of use and the position control performance when it is compared to the existing pointing input device. There is significance in utilizing as an input device, not only the interface of two-dimension, but the interface with ultra-large display such as a three-dimensional interface.

120 pISSN 2383-5702 eISSN 2383-5710 cCopyright 2015 by the Korean Society for Legal Medicine This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/ by-nc/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. Korean J Leg Med 2015;39:120-126 http://dx.doi.org/10.7580/kjlm.2015.39.4.120