76059 research outputs found
Sort by
A smart mirror platform for emotional information and indoor and outdoor environmental information presentation in smart shelter
No full text스마트 쉘터는 주변 환경의 변화를 인지하는 능동형 장비들을 활용하여, 사람이 파악할 수 있는 인지량 이상의 정보를 전달해주는 플랫폼으로 구성되어 자동적으로 운용되는 스마트한 환경을 가진 임시 거처를 의미한다. 본 연구는 공학적인 기술을 활용한 환경 조정 위주의 쉘터 공간에 인간의 감성적 정보를 활용하여, 스마트 쉘터를 사용자 맞춤형 최적의 공간으로 운용하고자 사용자의 감성 데이터로 뇌파를 활용한다. 뇌파를 활용한 사용자의 감성을 확인할 수 있는 방법은 Brain Computer Interface(BCI) 기법을 활용하여 진행하고, 뇌의 활동을 측정하는 센서기술과 신호처리 기술을 반영하여 쉘터 내 유효정보를 표현하는 방법은 스마트 미러를 활용한다. From an engineering point of view, smart shelter is a temporary shelter that is composed of a platform that actively recognizes changes in the surrounding environment used in a smart environment and transmits information amount more than a cognitive amount that a person can grasp in a real space. The starting point of this research development is to embed emotional information in the engineering - oriented shelter space, and the user s emotions and research range are carried out using the EEG. With the advancement of advanced technology, progress is made by utilizing Brain Computer Interface (BCI) technique which is the best way to check user s emotions, and sensor technology to measure brain activity and signal processing technology This paper proposes a method of expressing effective information in the shelter in a smart mirror reflecting the trend of recent research that society is gradually becoming real
A compiler-based approach for GPGPU performance calibration using TLP modulation (WIP paper)
No full textModern GPUs are the most successful accelerators as they provide outstanding performance gain by using CUDA or OpenCL programming models. For maximum performance, programmers typically try to maximize the number of thread blocks of target programs, and GPUs also generally attempt to allocate the maximum number of thread blocks to their GPU cores. However, many recent studies have pointed out that simply allocating the maximum number of thread blocks to GPU cores does not always guarantee the best performance, and identifying proper number of thread blocks per GPU core is a major challenge. Despite these studies, most existing architectural techniques cannot be directly applied to current GPU hardware, and the optimal number of thread blocks can vary significantly depending on the target GPU and application characteristics. To solve these problems, this study proposes a just-in-time thread block number adjustment system using CUDA binary modification upon an LLVM compiler framework, referred to as the CTA Limiter, in order to dynamically maximize GPU performance on real GPUs without reprogramming. The framework gradually reduces the number of concurrent thread blocks of target CUDA workloads using extra shared memory allocation, and compares the execution time with the previous version to automatically identify the optimal number of co-running thread blocks per GPU Core. The results showed meaningful performance improvements, averaging at 30%, 40%, and 44%, in GTX 960, GTX 1050, and GTX 1080 Ti, respectively. © 2019 Association for Computing Machinery.This work was supported in part by the National Research Foundation of Korea (NRF) grant funded by the Korea government
(MSIP)(No. 2015R1C1A1A01053844) and ICT R&D program of MSIP/IITP (No.2017-0-00142). Yongjun Park is the corresponding author
An embedding technique to determine tau tau backgrounds in proton-proton collision data
No full textAn embedding technique is presented to estimate standard model tau tau backgrounds from data with minimal simulation input. In the data, the muons are removed from reconstructed mu mu events and replaced with simulated tau leptons with the same kinematic properties. In this way, a set of hybrid events is obtained that does not rely on simulation except for the decay of the tau leptons. The challenges in describing the underlying event or the production of associated jets in the simulation are avoided. The technique described in this paper was developed for CMS. Its validation and the inherent uncertainties are also discussed. The demonstration of the performance of the technique is based on a sample of proton-proton collisions collected by CMS in 2017 at root s = 13 TeV corresponding to an integrated luminosity of 41.5 fb(-1).We congratulate our colleagues in the CERN accelerator departments for the excellent performance of the LHC and thank the technical and administrative staffs at CERN and at other CMS institutes for their contributions to the success of the CMS effort. In addition, we gratefully acknowledge the computing centers and personnel of the Worldwide LHC Computing Grid for delivering so effectively the computing infrastructure essential to our analyses.
Finally, we acknowledge the enduring support for the construction and operation of the LHC and the CMS detector provided by the following funding agencies: the Austrian Federal Ministry of Education, Science and Research and the Austrian Science Fund; the Belgian Fonds de la Recherche Scientifique, and Fonds voor Wetenschappelijk Onderzoek; the Brazilian Funding Agencies (CNPq, CAPES, FAPERJ, FAPERGS, and FAPESP); the Bulgarian Ministry of Education and Science; CERN; the Chinese Academy of Sciences, Ministry of Science and Technology, and National Natural Science Foundation of China; the Colombian Funding Agency (COLCIENCIAS); the Croatian Ministry of Science, Education and Sport, and the Croatian Science Foundation; the Research Promotion Foundation, Cyprus; the Secretariat for Higher Education, Science, Technology and Innovation, Ecuador; the Ministry of Education and Research, Estonian Research Council via IUT23-4 and IUT23-6 and European Regional Development Fund, Estonia; the Academy of Finland, Finnish Ministry of Education and Culture, and Helsinki Institute of Physics; the Institut National de Physique Nucleaire et de Physique des Particules / CNRS, and Commissariat a l'Energie Atomique et aux Energies Alternatives / CEA, France; the Bundesministerium fur Bildung und Forschung, Deutsche Forschungsgemeinschaft, and Helmholtz-Gemeinschaft Deutscher Forschungszentren, Germany; the General Secretariat for Research and Technology, Greece; the National Research, Development and Innovation Fund, Hungary; the Department of Atomic Energy and the Department of Science and Technology, India; the Institute for Studies in Theoretical Physics and Mathematics, Iran; the Science Foundation, Ireland; the Istituto Nazionale di Fisica Nucleare, Italy; the Ministry of Science, ICT and Future Planning, and National Research Foundation (NRF), Republic of Korea; the Ministry of Education and Science of the Republic of Latvia; the Lithuanian Academy of Sciences; the Ministry of Education, and University of Malaya (Malaysia); the Ministry of Science of Montenegro; the Mexican Funding Agencies (BUAP, CINVESTAV, CONACYT, LNS, SEP, and UASLP-FAI); the Ministry of Business, Innovation and Employment, New Zealand; the Pakistan Atomic Energy Commission; the Ministry of Science and Higher Education and the National Science Center, Poland; the Fundacao para a Ciencia e a Tecnologia, Portugal; JINR, Dubna; the Ministry of Education and Science of the Russian Federation, the Federal Agency of Atomic Energy of the Russian Federation, Russian Academy of Sciences, the Russian Foundation for Basic Research, and the National Research Center "Kurchatov Institute"; the Ministry of Education, Science and Technological Development of Serbia; the Secretaria de Estado de Investigacion, Desarrollo e Innovacion, Programa Consolider-Ingenio 2010, Plan Estatal de Investigacion Cientifica y Tecnica y de Innovacion 2013-2016, Plan de Ciencia, Tecnologia e Innovacion 2013-2017 del Principado de Asturias, and Fondo Europeo de Desarrollo Regional, Spain; the Ministry of Science, Technology and Research, Sri Lanka; the Swiss Funding Agencies (ETH Board, ETH Zurich, PSI, SNF, UniZH, Canton Zurich, and SER); the Ministry of Science and Technology, Taipei; the Thailand Center of Excellence in Physics, the Institute for the Promotion of Teaching Science and Technology of Thailand, Special Task Force for Activating Research and the National Science and Technology Development Agency of Thailand; the Scientific and Technical Research Council of Turkey, and Turkish Atomic Energy Authority
; the National Academy of Sciences of Ukraine, and State Fund for Fundamental Researches, Ukraine; the Science and Technology Facilities Council, U.K.; the US Department of Energy, and the US National Science Foundation.
Individuals have received support from the Marie-Curie program and the European Research Council and Horizon 2020 Grant, contract No. 675440 (European Union); the Leventis Foundation; the A. P. Sloan Foundation; the Alexander von Humboldt Foundation; the Belgian Federal Science Policy Office; the Fonds pour la Formation a la Recherche dans l'Industrie et dans l'Agriculture (FRIA-Belgium); the Agentschap voor Innovatie door Wetenschap en Technologie (IWT-Belgium); the F.R.S.-FNRS and FWO (Belgium) under the "Excellence of Science-EOS" -be.h project n. 30820817; the Ministry of Education, Youth and Sports (MEYS) of the Czech Republic; the Lendulet ("Momentum") Program and the Janos Bolyai Research Scholarship of the Hungarian Academy of Sciences, the New National Excellence Program UNKP, the NKFIA research grants 123842, 123959, 124845, 124850 and 125105 (Hungary); the Council of Scientific and Industrial Research, India; the HOMING PLUS program of the Foundation for Polish Science, cofinanced from European Union, Regional Development Fund, the Mobility Plus program of the Ministry of Science and Higher Education, the National Science Center (Poland), contracts Harmonia 2014/14/M/ST2/00428, Opus 2014/13/B/ST2/02543, 2014/15/B/ST2/03998, and 2015/19/B/ST2/02861, Sonata-bis 2012/07/E/ST2/01406; the National Priorities Research Program by Qatar National Research Fund; the Programa de Excelencia Maria de Maeztu, and the Programa Severo Ochoa del Principado de Asturias; the Thalis and Aristeia programs cofinanced by EU-ESF, and the Greek NSRF; the Rachadapisek Sompot Fund for Postdoctoral Fellowship, Chulalongkorn University, and the Chulalongkorn Academic into Its 2nd Century Project Advancement Project (Thailand); the Welch Foundation, contract C-1845; and the Weston Havens Foundation (U.S.A.)
Deep Iterative Down-Up CNN for Image Denoising
No full textNetworks using down-scaling and up-scaling of feature maps have been studied extensively in low-level vision research owing to efficient GPU memory usage and their capacity to yield large receptive fields. In this paper, we propose a deep iterative down-up convolutional neural network (DIDN) for image denoising, which repeatedly decreases and increases the resolution of the feature maps. The basic structure of the network is inspired by U-Net which was originally developed for semantic segmentation. We modify the down-scaling and up-scaling layers for image denoising task. Conventional denoising networks are trained to work with a single-level noise, or alternatively use noise information as inputs to address multi-level noise
with a single model. Conversely, because the efficient memory usage of our network enables it to handle multiple parameters, it is capable of processing a wide range of noise levels with a single model without requiring noiseinformation inputs as a work-around. Consequently, our DIDN exhibits state-of-the-art performance using the benchmark dataset and also demonstrates its superiority in the NTIRE 2019 real image denoising challenge
Coalescence-Driven Simultaneous Enhancement and Quenching of the Excited States of Silver Nanoclusters
No full textDespite the successful launch of Au nanoclusters (NCs) in light energy conversion applications, the utilization of Ag NCs has been limited by their instability under continuous illumination. The main cause of photoinduced degradation pathways remains elusive. Hence, understanding the underlying mechanism behind the low stability is an urgent task to provide a new impetus for the development of Ag NCs. The slow regeneration of Ag NCs by a redox couple leads to holes in the NCs, which could result in either the photoetching of NCs or the transformation into plasmonic nanoparticles. Transient absorption spectroscopy reveals that Ag NCs coalesce into plasmonic nanoparticles and begin to experience two conflicting effects (plasmonic enhancement and quenching effect) during this in situ transformation. It also discloses that the quenching effect prevails over the plasmonic enhancement, which eventually leads to photocurrent loss under illumination.This research was supported by grants from the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science and ICT (NRF-2019R1A2C1003429 and NRF-2018R1E1A2A02086254) and by the Ministry of Education (NRF-2018R1A6A1A03024231). S.J.Y. acknowledges the 2019 Yeungnam University Research Grant. This is contribution number NDRL No. 5237 from the Notre Dame Radiation Laboratory, which is supported by the Division of Chemical Sciences, Geosciences, and Biosciences, Office of Basic Energy Sciences of the U.S. Department of Energy through award DE-FC02-04ER15.533. We acknowledge Prof. P. V. Kamat for his helpful discussion
The effect of organizational learning capacity on innovative behavior
No full text본 연구의 목적은 건설사 구성원의 조직학습 역량구축요인이 혁신행동에 미치는 영향을 분석하고, 건설사 현장 조직과 본사 조직 간의 차이를 고려하여 두 집단 간의 차이를 분석하는 데 있다. 문헌 분석을 통해 본 연구는 조직학습 역량구축요인과 혁신행동의 관계를 검토하고 관련된 가설을 설정했다. 연구 목적을 달성하기 위해 본 연구는 D 건설사 구성원을 대상으로 설문조사를 실시하였고, 총 357명(현장 직원 151명, 본사 직원 149명)의 응답을 수집하였다. 연구목적을 달성하기 위해 구조방정식모형, 다집단 분석, 잠재평균분석이 실시되었다. 구조방정식모형 분석 결과, 공유된 비전과 협력, 참여적 의사결정은 혁신행동과 정(+)적인 관련이 있는 것으로 나타났다. 다집단 분석 결과, 구조방정식 결과에서 현장 직원과 본사 직원 간 차이가 없었다. 잠재평균분석 결과에서 현장 직원보다 본사 직원이 모든 변수에서 낮은 점수를 보였으나 그 차이가 통계적으로 유의하지 않았다. 이러한 결과를 바탕으로 본 연구는 건설사의 특성을 고려하여 조직학습 역량구축요인이 혁신행동의 선행변수로 역할을 하고, 특히 HRD 분야 내에서 그 중요성이 강조되어야 함을 논의했다. The purpose of this study is to investigate the effect of organizational learning capacity on innovative behavior and analyze the difference between the construction site and headquarter staffs, taking into account the differences between the two groups. Through a literature review, this study examined the relationship between organizational learning capacity and innovative behavior and established relevant hypotheses. We surveyed the members of D construction company and collected responses from 357 people (151 construction site staffs and 149 head office staffs). Structural equation modeling, multi-group analysis, and latent mean analysis were performed to achieve the research objectives. The result of structural equation modeling showed that shared vision and cooperation and participatory decision-making were positively related to innovative behavior. The result of the multi-group analysis showed that there was no difference between the two groups in the structural relationships found in the results of the structural equation modeling. Finally, in the result of the latent mean analysis, the head office staffs showed lower scores in all variables than the construction site staffs, but the latent mean differences were not statistically significant. Based on these results, considering the characteristics of construction companies, this study discussed the importance of organizational learning capacity, as an antecedent of innovative behavior, should be emphasized in the field of HRD.본 논문은 고려대학교에서 지원된 연구비로 수행되었
Use of docetaxel plus androgen deprivation therapy for metastatic hormone-sensitive prostate cancer in Korean patients: A retrospective study.
No full textPurpose: We aimed to evaluate the efficacy and safety of the use of docetaxel plus androgen deprivation therapy (ADT) for meta-static hormone-sensitive prostate cancer (mHSPC) in Korean patients.
Materials and Methods: This study was conducted retrospectively. In total, 61 Korean patients with mHSPC who used docetaxel plus ADT were identified from medical records. Patients received docetaxel plus ADT at a dose of 75 mg/m(2) every 3 weeks for 6 cycles. We evaluated prostate-specific antigen (PSA) response, PSA progression, progression to castration-resistant prostate cancer (CRPC), clinical progression, and adverse events.
Results: Most of the patients had high volume disease (98.3%) and 83.6% had a Gleason score of 8 or higher. The median PSA level at the start of ADT was 131.4 ng/mL. The percentage of patients whose PSA levels decreased to less than 0.2 ng/mL at 3, 6, and 12 months were 28.3%, 41.0%, and 45.0%, respectively. During a median of 12.0 months after treatment, PSA progression occurred in 13.3% of patients. Clinical progression and progression to CRPC were observed in 15.1% and 14.8%, respectively. Neutropenia grade >= 3 and febrile neutropenia occurred in 63.5% and 11.5%, respectively.
Conclusions: Comparing our findings with those of the prior chemohormonal therapy versus androgen ablation randomized trial for extensive disease in prostate cancer (CHAARTED) study, in Korean patients, the use of docetaxel plus ADT for mHSPC showed similar results for early oncologic outcomes including PSA response and time to clinical progression. However, we observed a higher rate of adverse events, which should be considered seriously.This study was supported by a Korean National Cancer Center Grant (No. 1810021-1)
Optimization of Reconfigurable Satellite Constellations Using Simulated Annealing and Genetic Algorithm
No full textAgile Earth observation can be achieved with responsiveness in satellite launches, sensor pointing, or orbit reconfiguration. This study presents a framework for designing reconfigurable satellite constellations capable of both regular Earth observation and disaster monitoring. These observation modes are termed global observation mode and regional observation mode, constituting a reconfigurable satellite constellation (ReCon). Systems engineering approaches are employed to formulate this multidisciplinary problem of co-optimizing satellite design and orbits. Two heuristic methods, simulated annealing (SA) and genetic algorithm (GA), are widely used for discrete combinatorial problems and therefore used in this study to benchmark against a gradient-based method. Point-based SA performed similar or slightly better than the gradient-based method, whereas population-based GA outperformed the other two. The resultant ReCon satellite design is physically feasible and offers performance-to-cost(mass) superior to static constellations. Ongoing research on observation scheduling and constellation management will extend the ReCon applications to radar imaging and radio occultation beyond visible wavelengths and nearby spectrums
Hybrid Microwave Annealing for Fabrication of More Efficient Semiconductor Photoanodes for Solar Water Splitting
No full textHybrid microwave annealing (HMA) is proposed as an alternative to conventional thermal annealing (CTA) in a furnace to fabricate efficient semiconductor photoelectrodes for solar water splitting. Thus, the effects of HMA are investigated in comparison with CTA using spinel zinc ferrite as an example. The ZnFe2O4 photoanodes fabricated by HMA with a graphite susceptor provide less defective surface, better structural ordering and smaller feature size than photoanodes prepared by CTA. Besides, HMA does not impair conductivity of the F:SnO2 glass substrate. All these positive factors of HMA leads to similar to 4 times higher photocurrents at 1.23 V-RHE and lowered onset potential by similar to 100 mV under 1 sun irradiation of an optimized ZnFe2O4 photoanode relative to that fabricated by CTA. The HMA could be an effective generic method to fabricate efficient photoelectrodes based on refractory semiconductors replacing incumbent CTA.This work was supported by the Climate Change Response project (2015M1A2A2074663, 201SM1A2A2056824), the Basic Science Grant (NRF-2018R1A2A1A05077909), Korea Center for Artificial Photosynthesis (KCAP, No. 2009-0093880) funded MSIT, and Project No. 10050509 and KIATN0001754 funded by MOTIE of Republic of Korea
Seed-Based Resting-State Functional MRI for Presurgical Localization of the Motor Cortex: A Task-Based Functional MRI-Determined Seed Versus an Anatomy-Determined Seed.
No full textObjective: For localization of the motor cortex, seed-based resting-state functional MRI (rsfMRI) uses the contralateral motor cortex as a seed. However, research has shown that the location of the motor cortex could differ according to anatomical variations. The purpose of this study was to compare the results of rsfMRI using two seeds: a template seed (the anatomically expected location of the contralateral motor cortex) and a functional seed (the actual location of the contralateral motor cortex determined by task-based functional MRI [tbfMRI]).
Materials and Methods: Eight patients (4 with glioma, 3 with meningioma, and 1 with arteriovenous malformation) and 9 healthy volunteers participated. For the patients, tbfMRI was performed unilaterally to activate the healthy contralateral motor cortex. The affected ipsilateral motor cortices were mapped with rsfMRI using seed-based and independent component analysis (ICA). In the healthy volunteer group, both motor cortices were mapped with both-hands tbfMRI and rsfMRI. We compared the results between template and functional seeds, and between the seed-based analysis and ICA with visual and quantitative analysis.
Results: For the visual analysis, the functional seed showed significantly higher scores compared to the template seed in both the patients (p = 0.002) and healthy volunteers (p < 0.001). Although no significant difference was observed between the functional seed and ICA, the ICA results showed significantly higher scores than the template seed in both the patients (p = 0.01) and healthy volunteers (p = 0.005). In the quantitative analysis, the functional seed exhibited greater similarity to tbfMRI than the template seed and ICA.
Conclusion: Using the contralateral motor cortex determined by tbfMRI as a seed could enhance visual delineation of the motor cortex in seed-based rsfMRI