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17th IEEE International Conference on Industrial Informatics, INDIN 2019

作者： Kakuda, Emi Yokota, Sho Matsumoto, Akihiro Chugo, Daisuke Hashimoto, Hiroshi Toro University Graduate School of Science and Eng Kawagoe Japan Toyo University Dept. of Mechanical Engineering Kawagoe Japan Kwansei Gakuin University School of Science and Technology Hyogo Japan Advanced Institute of Industrial Technology Master Program of Innovation for Design and Eng. Tokyo Japan

ISBN: (纸本)9781728129273

This paper proposes the ungrounded force display using the grooved cam. Using the human illusion, the user can feel the force in the one direction when they use proposed device. It is mainly configured the cam and the slider. The slider follows the cam and moves translational movement. In this paper, we create the new prototype which solving the problems that emerged from the previous prototype. We evaluate the device using the two experiments. One is the subjective evaluation. Second one is the force presentation from the new prototype as the quantitative evaluation. We could solve problems of previous prototype by changing the cam type from plate to groove and blushless motor, and the new one produce the force more clearly than the previous prototype. © 2019 IEEE.

关键词： Navigation systems

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IDeBlurInfo: An Assessment and Evaluation Study of Image Deblurring Techniques 4

IDeBlurInfo: An Assessment and Evaluation Study of Image Deb...

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4th IEEE International Conference on technology, Informatics, Management, Engineering and Environment, TIME-E 2019

作者： Pagaduan, Roxanne A. Aragon, Ma. Christina R. Medina, Ruji P. Technological Institute of the Philippines Information Technology Department Quezon City Philippines Technological Institute of the Philippines Computer Science Department Quezon City Philippines Technological Institute of the Philippines Graduate Program Quezon City Philippines

ISBN: (纸本)9781728131344

Quality of images used in a variety of systems contributes to the success of discovering beneficial details used in different fields of computing. The quality of the image plays a vital role in increasing the success rate of image recognition and related fields. Image quality can be degraded due to distortion, imperfection during image capture, inappropriate light balancing, and exposure to name a few. Various deblurring techniques were introduced to address blurred issues, transforming an image to lesser imperfections, successfully reading and/or identifying available details on it. This study aims to identify, define, and evaluate deblurring techniques in a way that demonstrates comprehension of the tradeoffs involved in the design. Significantly, the study compares various techniques that can be used to recover hidden details in the presence of image noise. The MA TLAB was used as a tool for testing and evaluating the deblurring techniques. PSNR, MSE, and computational time were used to compare each identified deblurring techniques. Based on the comparative performance results of each technique, in terms of accuracy measure, Lucy-Richardson got the highest PSNR ratio of 25.8312 that leads the best result while wiener filter got the lowest PSNR ratio of 21.3012. While, based on the MSE results, Wiener Filter got a higher rate of 0.0074;while blind deconvolution and Lucy-Richardson got the lowest value of 0.0026. And in terms of execution time, Wiener Filter performs the fastest computational time. © 2019 IEEE.

关键词： MATLAB

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Feasibility study of Information technology Investment (a case study of ODOO ERP: Project Management Module Implementation in Indonesia Based Company)

Feasibility study of Information Technology Investment (a ca...

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International Conference on ICT For Smart Society (ICISS)

作者： Fredy Jingga Raymond Kosala Suhono Harso Supangkat Benny Ranti Computer Science Department BINUS Graduate Program - Doctor of Computer Science Information Systems Department School of Information Systems Bina Nusantara University Jakarta Indonesia Computer Science Department BINUS Graduate Program - Doctor of Computer Science Bina Nusantara University Jakarta Indonesia School of Electrical Engineering and Informatics Bandung Institute of Technology Bandung Indonesia

IT Governance are one of the needs in managing Enterprise Level IT. This study shows part of the decision domain of IT Governance Help, which are IT Investment and Prioritization. The purpose of this study is to determine feasibility of implementation open source ERP system Odoo project management module that replaces current system based on operational, economic, and technical aspects. The method used are Fit / Gap Analysis and Cost Benefit model using economic impact worksheet. The analysis is done by comparing the requirement with features owned by current system and Odoo ERP system. This research resulted that Odoo ERP System is feasible in the 3 aspects, the operational feasibility Odoo reaching 72% Fit, the economic feasibility with ROI of 84%, and technical feasibility indicating the technical requirement can be fulfilled by leasing AWS server. The conclusion is the open source ERP system Odoo project management module is feasible to be applied in terms of 3 aspects that have been studied, those are operational, economic, and technical.

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Intercellular interaction dictates cancer cell ferroptosis via NF2-YAP signalling (vol 572, pg 402, 2019)

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NATURE 2019年第7770期572卷 E20-E20页

作者： Wu, Jiao Minikes, Alexander M. Gao, Minghui Bian, Huijie Li, Yong Stockwell, Brent R. Chen, Zhi-Nan Jiang, Xuejun National Translational Science Center for Molecular Medicine Department of Cell Biology School of Basic Medicine Air Force Medical University Xi’an China Cell Biology Program Memorial Sloan-Kettering Cancer Center New York NY USA BCMB Allied Program Weill Cornell Graduate School of Medical Sciences New York NY USA The HIT Center for Life Sciences School of Life Science and Technology Harbin Institute of Technology Harbin China Department of Biological Sciences Department of Chemistry Columbia University New York NY USA

Ferroptosis, a cell death process driven by cellular metabolism and iron-dependent lipid peroxidation, has been implicated in diseases such as ischaemic organ damage and cancer^1,2. The enzyme glutathione peroxidase 4 (GPX4) is a central regulator of ferroptosis, and protects cells by neutralizing lipid peroxides, which are by-products of cellular metabolism. The direct inhibition of GPX4, or indirect inhibition by depletion of its substrate glutathione or the building blocks of glutathione (such as cysteine), can trigger ferroptosis³. Ferroptosis contributes to the antitumour function of several tumour suppressors such as p53, BAP1 and fumarase^4,5,6,7. Counterintuitively, mesenchymal cancer cells—which are prone to metastasis, and often resistant to various treatments—are highly susceptible to ferroptosis^8,9. Here we show that ferroptosis can be regulated non-cell-autonomously by cadherin-mediated intercellular interactions. In epithelial cells, such interactions mediated by E-cadherin suppress ferroptosis by activating the intracellular NF2 (also known as merlin) and Hippo signalling pathway. Antagonizing this signalling axis allows the proto-oncogenic transcriptional co-activator YAP to promote ferroptosis by upregulating several ferroptosis modulators, including ACSL4 and TFRC. This finding provides mechanistic insights into the observations that cancer cells with mesenchymal or metastatic property are highly sensitive to ferroptosis⁸. Notably, a similar mechanism also modulates ferroptosis in some non-epithelial cells. Finally, genetic inactivation of the tumour suppressor NF2, a frequent tumorigenic event in mesothelioma^10,11, rendered cancer cells more sensitive to ferroptosis in an orthotopic mouse model of malignant mesothelioma. Our results demonstrate the role of intercellular interactions and intracellular NF2-YAP signalling in dictating ferroptotic death, and also suggest that malignant mu

关键词： Cancer Cell biology

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Reply to “Comment on ‘Scattering Cancellation-Based Cloaking for the Maxwell-Cattaneo Heat Waves’”

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Physical Review Applied 2021年第5期15卷 058002-058002页

作者： M. Farhat S. Guenneau P.-Y. Chen A. Alù K.N. Salama Computer Electrical and Mathematical Science and Engineering (CEMSE) Division King Abdullah University of Science and Technology (KAUST) Thuwal 23955-6900 Saudi Arabia UMI 2004 Abraham de Moivre-CNRS Imperial College London London SW7 2AZ United Kingdom Department of Electrical and Computer Engineering University of Illinois at Chicago Chicago Illinois 60607 USA Photonics Initiative Advanced Science Research Center City University of New York New York New York 10031 USA Physics Program Graduate Center City University of New York New York New York 10016 USA

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A Large-Scale Chinese Short-Text Conversation Dataset

arXiv

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arXiv 2020年

作者： Wang, Yida Ke, Pei Zheng, Yinhe Huang, Kaili Jiang, Yong Zhu, Xiaoyan Huang, Minlie Tsinghua Shenzhen International Graduate School Tsinghua University China Institute for Artifical Intelligence State Key Lab of Intelligent Technology and Systems Beijing National Research Center for Information Science and Technology Department of Computer Science and Technology Tsinghua University Beijing China Beijing China

The advancements of neural dialogue generation models show promising results on modeling short-text conversations. However, training such models usually needs a large-scale high-quality dialogue corpus, which is hard to access. In this paper, we present a large-scale cleaned Chinese conversation dataset LCCC, which contains a base version (6.8 million dialogues) and a large version (12.0 million dialogues). The quality of our dataset is ensured by a rigorous data cleaning pipeline, which is built based on a set of rules and a classifier that is trained on manually annotated 110K dialogue pairs. We also release pre-training dialogue models which are trained on LCCC-base and LCCC-large respectively. The cleaned dataset and the pre-training models will facilitate the research of short-text conversation modeling. All the models and datasets are available at https://***/thu-coai/CDial-GPT. Copyright © 2020, The Authors. All rights reserved.

关键词： Deep learning

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Parallelized GPU Code of City-Level Large Eddy Simulation

Parallelized GPU Code of City-Level Large Eddy Simulation

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International Symposium on Parallel and Distributed Computing

作者： Daisuke Tsuji Taisuke Boku Ryosaku Ikeda Takuto Sato Hiroto Tadano Hiroyuki Kusaka Department of Computer Science University of Tsukuba Center for Computational Sciences University of Tsukuba Weathernews Inc. (current affiliation) Doctoral Program in Geoenvironmental Sciences Graduate School of Life and Environmental Sciences University of Tsukuba

ISBN: (数字)9781728189468

ISBN: (纸本)9781728189475

In this paper, we describe the GPU implementation of our City-LES code, which is developed at the Center for Computational sciences (CCS), University of Tsukuba for detailed large eddy simulations, including surface conditions such as buildings, surface materials, and sunlight effect Wefocus on the 1) performance comparison between CUDA and OpenACC, and 2) how to reduce the data exchange between CPU and GPU memories. Using a number of GPU devices of NVIDIA Tesla V 100, we found that the current OpenACC compiler by PGI can achieve a comparable performance with CUDA in the main part of the LES calculation. We also apply OpenACC aggressively even for performances that are lower than that of a CPU to avoid data copying between the GPU and CPU, encapsulating all the data only on the GPU memory. In our optimized OpenACC (partially in CUDA) code, the results show that the performance of the full GPU version of code is doubled, and most of the GPU-CPU data copying is removed from the original GPU code. For the scaling performance test, a full GPU version achieves a 4. 7 x to 10x performance of the CPU version; this is done on a GPU cluster Cygnus at CCS, where each node is equipped with two Intel Xeon CPUs and four NVIDIA Tesla V100 GPUs, with strong scaling up to 32 nodes with 128 GPUs. For weak scaling, the full GPU version achieves a performance of more than 9x that of the CPU version for up to 32 nodes with 128 GPUs of parallel execution.

关键词： Hafnium Distributed computing

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Machine Learning Reveals Lithology and Soil as Critical Parameters in Landslide Susceptibility for Petrópolis (Rio de Janeiro State, Brazil)

Natural Hazards Research

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Natural Hazards Research 2025年

作者： Enner Alcântara Cheila Flávia Baião Yasmim Carvalho Guimarães José Roberto Mantovani Jose Antonio Marengo Institute of Science and Technology São Paulo State University (Unesp) São José Dos Campos SP Brazil Graduate Program in Natural Disasters (Unesp/CEMADEN) São José Dos Campos SP Brazil National Center for Monitoring and Early Warning of Natural Disasters CEMADEN São José Dos Campos SP Brazil Graduate School of International Studies Korea University Seoul Korea

Petrópolis, located in the mountainous region of Rio de Janeiro, Brazil, is frequently impacted by severe landslides, exacerbated by intense rainfall, steep topography, and unregulated urban growth. This study employs machine learning to assess and predict landslide susceptibility, integrating geological, hydrological, and anthropogenic factors. Five models—Random Forest, CatBoost, Support Vector Machine, Artificial Artificial Neural Network (ANN), and XGBoost—were evaluated, with CatBoost emerging as the optimal model (F1-score: 0.82; AUC-ROC: 0.88). Variable importance analysis revealed soil type and erodibility as critical soil parameters influencing susceptibility, alongside lithology, underscoring the significance of geological over purely topographic factors. These findings emphasize the utility of machine learning for landslide modeling, providing scalable methodologies applicable to similar geospatial risk assessments worldwide. Beyond local applications, this work offers actionable insights for urban planning and disaster risk management in mountainous urban regions.

关键词： Landslide susceptibility machine learning CatBoost transferable methodology urban risk management geospatial analysis

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Establishment and implementation of green infrastructure practice for healthy watershed management: Challenges and perspectives

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Water-Energy Nexus 2020年 3卷 186-197页

作者： Liu, Bo-Wei Wang, Ming-Huang Chen, Tse-Lun Tseng, Po-Chih Sun, Yongjun Chiang, Andrew Chiang, Pen-Chi W Booth School of Engineering Practice and Technology McMaster University 1280 Main St W HamiltonONL8S 4L8 Canada Kaohsiung81157 Taiwan Graduate Institute of Environmental Engineering National Taiwan University No. 1 Sec. 4 Roosevelt Road Taipei City10617 Taiwan College of Urban Construction Nanjing Tech University Nanjing211800 China Department of Computer Science Emory University AtlantaGA30322 United States

The water management in various countries of the world provides a comprehensive understanding of the international movement on healthy watershed management. Watershed characteristics including River basin management in the UK, eco-health watershed management in Canada, sustainable water management in Korea, integrated watershed management in Japan, and healthy watershed management in the US have been examined in this review. Pioneering countries utilize green infrastructural applications to improve their resilience against climate change by adopting adaptive solutions and mitigating pollution sources. This paper includes an overview of the implementation of green infrastructure exemplified by bioretention in urban development and ecosystem maintenance. The good engineering practice for bioretention was established by applying data collected from other research. Biomantle and semi-direct injection of storm water are the two methods for sustaining bioretention functionalities for peak flow reduction and soil stability enhancement. Maximum pollutants reduction efficiencies by bioretention were reported in the past research, including 99% of phosphorus, 82% of nitrate, 92% of heavy metals, and 96% of suspended solid. Lastly, a conclusive benefit analysis of green infrastructure from environmental, economic, and social perspectives was conducted. © 2020

关键词： Water management

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Design of a Highly Reliable SRAM Cell with Advanced Self-Recoverability from Soft Errors

Design of a Highly Reliable SRAM Cell with Advanced Self-Rec...

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International Test Conference in Asia (ITC-Asia)

作者： Zhengda Dou Albin Yan Jun Zhou Yuanjie Hu Yan Chen Tianming Ni Jie Cui Patrick Girard Xiaoqing Wen School of Computer Science and Technology Anhui University/Anhui Engineering Laboratory of IoT Security Technologies Hefei China College of Electrical Engineering Anhui Polytechnic University Wuhu China Laboratory of Informatics Robotics and Microelectronics of Montpellier University of Montpellier/CNRS Montpellier France Graduate School of Computer Science and Systems Engineering Kyushu Institute of Technology Fukuoka Japan

ISBN: (数字)9781728189444

ISBN: (纸本)9781728189451

In this paper, a highly reliable SRAM cell, namely SESRS cell, is proposed. Since the cell has a special feedback mechanism among its internal nodes and has more access transistors compared to a standard SRAM cell, the SESRS cell provides the following advantages: (1) it can self-recover from single node upsets (SNUs) and double-node upsets (DNUs); (2) it can reduce power consumption by 49.78% and silicon area by 7.92%, compared with the only existing SRAM cell which can self-recover from all possible DNUs. Simulation results validate the robustness of the proposed SESRS cell. Moreover, compared with the state-of-the-art hardened SRAM cells, the proposed SESRS cell can reduce read access time by 61.93% on average.

关键词： SRAM cells Transistors Integrated circuit reliability Logic gates Standards Robustness Reliability engineering

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