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5th International Conference on Soft computing for Problem Solving, SocProS 2015

作者： Reza, Motahar Satapathy, Saroj K. Pattnaik, Subhashree Panda, Deepak R. High Performance Computing Lab School of Computer Science and Engineering National Institute of Science and Technology BerhampurOdisha761008 India

ISBN: (纸本)9789811004476

In this paper, an optimized path planning for mobile robot by using genetic algorithm is analyzed. A hybrid method based on the visible midpoint and genetic algorithm is implemented for finding optimal shortest path for a mobile robot. The combination of both the algorithms provides a better solution in case of shortest and safest path. Here the visible approach is efficient for avoiding local minima and generates the paths which are always lying on free trajectories. Genetic algorithm optimizes the path and provides the shortest route from source to destination. © Springer science+Business Media Singapore 2016.

关键词： Genetic algorithms

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Programmer Productivity Analyzer Tool

Programmer Productivity Analyzer Tool

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IEEE International Conference on Computational Intelligence and computing Research

作者： Tejaswini Srushti Patil Suman Salimath Venuprasad Naik Ritam Nandi Mahesh S. Patil Indira Bidari Satyadhyan Chickerur Department of Computer Science and Engineering B.V.B.College of Engineering and Technology K L E Technological University Centre for High Performance Computing Hubballi Karnataka 580 031 INDIA

Software companies seek for productive programmer who writes codes that are reusable, maintainable, efficient and documented with coding standards. But companies face challenges in finding and monitoring such programmers due to lack of programmer productivity measuring tools. The available tools are limited to measure parameters like coding standards, bugs and some rule violation. Hence there is need for tools that can measure bad programming constructs, reusability and specific demands of companies in coding to judge a programmer. This paper proposes a novel method and tool to measure programmer productivity based on parameters such as efficient usage of memory and machine cycles. It also assist programmer to improve their productivity. The tool is able to detect 3-4 types and 1-2 types of bad programming constructs in code written by novices and experienced programmers respectively. In future, the tool shall be designed to measure the productivity using other parameters reusability and maintainable.

关键词： Productivity Tools Programming Encoding Standards Companies computer bugs

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Examining the Reproducibility of Using Dynamic Loop Scheduling Techniques in Scientific Applications

Examining the Reproducibility of Using Dynamic Loop Scheduli...

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IEEE International Symposium on Parallel and Distributed Processing Workshops and Phd Forum (IPDPSW)

作者： Franziska Hoffeins Florina M. Ciorba Ioana Banicescu Technische Universität Dresden Center for Information Services and High Performance Computing Dresden Germany Department of Mathematics and Computer Science University of Basel Basel Switzerland Department of Computer Science and Engineering Mississippi State Mississippi State University MS USA

Reproducibility of the execution of scientific applications on parallel and distributed systems is a growing concern, underlying the trustworthiness of the experiments and the conclusions derived from experiments. Dynamic loop scheduling (DLS) techniques are an effective approach towards performance improvement of scientific applications via load balancing. These techniques address algorithmic and systemic sources of load imbalance by dynamically assigning tasks to processing elements. The DLS techniques have demonstrated their effectiveness when applied in real applications. Complementing native experiments, simulation is a powerful tool for studying the behavior of parallel and distributed applications. In earlier work, the scalability [1], robustness [2], and resilience [3] of the DLS techniques were investigated using the MSG interface of the SimGrid simulation framework [4]. The present work complements the earlier work and concentrates on the verification via reproducibility of the implementation of the DLS techniques in SimGrid-MSG. This work describes the challenges of verifying the performance of using DLS techniques in earlier implementations of scientific applications. The verification is performed via reproducibility of simulations based on SimGrid-MSG. To simulate experiments selected from earlier literature, the reproduction process begins by extracting the information needed from the earlier literature and converting it into the input required by SimGrid-MSG. The reproducibility study is carried out by comparing the performance of SimGrid-MSG-based experiments with those reported in two selected publications in which the DLS techniques were originally proposed. While the reproduction was not successful for experiments from one of the selected publications, it was successful for experiments from the other. This successful reproduction implies the verification of the DLS implementation in SimGrid-MSG for the considered applications and systems, and thus

关键词： Dynamic scheduling Processor scheduling Computational modeling Heuristic algorithms Analytical models Load modeling Scalability

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Elastic parity logging for SSD RAID arrays 46

Elastic parity logging for SSD RAID arrays

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46th IEEE/IFIP International Conference on Dependable Systems and Networks, DSN 2016

作者： Li, Yongkun Chan, Helen H.W. Lee, Patrick P.C. Xu, Yinlong School of Computer Science and Technology University of Science and Technology of China China Collaborative Innovation Center of High Performance Computing National University of Defense Technology China Department of Computer Science and Engineering Chinese University of Hong Kong Hong Kong AnHui Province Key Laboratory of High Performance Computing China

ISBN: (纸本)9781467388917

Parity-based RAID poses a design trade-off issue for large-scale SSD storage systems: it improves reliability against SSD failures through redundancy, yet its parity updates incur extra I/Os and garbage collection operations, thereby degrading the endurance and performance of SSDs. We propose EPLOG, a storage layer that reduces parity traffic to SSDs, so as to provide endurance, reliability, and performance guarantees for SSD RAID arrays. EPLOG mitigates parity update overhead via elastic parity logging, which redirects parity traffic to separate log devices (to improve endurance and reliability) and eliminates the need of pre-reading data in parity computations (to improve performance). We design EPLOG as a user-level implementation that is fully compatible with commodity hardware and general erasure coding schemes. We evaluate EPLOG through reliability analysis and trace-driven testbed experiments. Compared to the Linux software RAID implementation, our experimental results show that our EPLOG prototype reduces the total write traffic to SSDs, reduces the number of garbage collection operations, and increases the I/O throughput. In addition, EPLOG significantly improves the I/O performance over the original parity logging design, and incurs low metadata overhead. © 2016 IEEE.

关键词： Reliability analysis

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Characterising acute and chronic care needs: insights from the Global Burden of Disease Study 2019

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Nature communications 2025年第1期16卷 4235-4235页

作者： Cecilia Anza-Ramirez J. Jaime Miranda Benedetta Armocida Jorge César Correia Harriette Gillian Christine Van Spall David Beran Amirali Aali Kalkidan Hassen Abate Semagn Mekonnen Abate Cristiana Abbafati Mohsen Abbasi-Kangevari Zeinab Abbasi-Kangevari Zahra Aryan Sina Azadnajafabad Mohammadreza Azangou-Khyavy Seyyed-Hadi Ghamari Mohammad Keykhaei Javad Khanali Sara Momtazmanesh Fateme Montazeri Shayan Rahmani Mohammad-Mahdi Rashidi Nazila Rezaei Negar Rezaei Sahar Saeedi Moghaddam Hossein Hassanian-Moghaddam Ali-Asghar Kolahi Ali Nikoobar Hedayat Abbastabar Ahmed M. Abdel-Azeem Michael Abdelmasseh Juan Sanabria Sherief Abd-Elsalam Ahmed Abdelwahab Gholamreza Abdoli Mohammad Abdollahi Meriem Abdoun Deldar Morad Abdulah Abu Yousuf Md Abdullah Ame Mehadi Abdurehman Getachew Abebe Aidin Abedi Chirag P. Doshi Vida Abedi Hassan Abidi Richard Gyan Aboagye Hassan Abolhassani Nima Rezaei Lucas Guimarães Abreu Michael R. M. Abrigo Yonas Derso Abtew Hiwa Abubaker Ali Eman Abu-Gharbieh Hiba Jawdat Barqawi Rabih Halwani Maha Mohamed Saber-Ayad Iman M. Talaat Ahmed Abu-Zaid Manfred Mario Kokou Accrombessi Juan Manuel Acuna Denberu Eshetie Adane Tigist Demssew Adane Isaac Yeboah Addo Giovanni Addolorato Oluwafemi Atanda Adeagbo Victor Adekanmbi Miracle Ayomikun Adesina Isaac Iyinoluwa Olufadewa Olatunji O. Adetokunboh Daniel Adedayo Adeyinka Qorinah Estiningtyas Sakilah Adnani Aanuoluwapo Adeyimika Afolabi Olayinka Stephen Ilesanmi Muhammad Sohail Afzal Saira Afzal Gina Agarwal Prerna Agarwal Pradyumna Agasthi Anurag Agrawal Marcela Agudelo-Botero Adolfo Martinez-Valle Bright Opoku Ahinkorah Aqeel Ahmad Sajjad Ahmad Sohail Ahmad Tauseef Ahmad Ali Ahmadi Siamak Sabour Keivan Ahmadi Sanjay Basu Sepideh Ahmadi Ali Ahmed Shaun Wen Huey Lee Ayman Ahmed Haroon Ahmed Jivan Qasim Ahmed Gahin Abdulraheem Tayib Yahya Yahya Luai A. Ahmed Iffat Elbarazi Syed Mahboob Shah Janardhana P. Aithala Marjan Ajami Budi Aji Hossein Akbarialiabad Yibeltal Akelew Meisam Akhlaghdoust Elham Jamshidi Addis Aklilu Azene Tesfaye Melat Woldemariam Maxwell Ak CRONICAS Center of Excellence in Chronic Diseases Universidad Peruana Cayetano Heredia Lima Peru School of Medicine Universidad Peruana Cayetano Heredia Lima Peru Sydney School of Public Health Faculty of Medicine and Health University of Sydney Sydney NSW Australia Faculty of Epidemiology and Population Health London School of Hygiene & Tropical Medicine London UK Division of Tropical and Humanitarian Medicine University of Geneva Geneva Switzerland Department of Cardiovascular Endocrine-metabolic Diseases and Aging Istituto Superiore di Sanità Rome Italy Division of Endocrinology Diabetology Nutrition and Therapeutic Patient Education Department of Medicine Geneva University Hospitals Geneva Switzerland Department of Medicine and Department of Health Research Evidence and Impact McMaster University Hamilton ON Canada Research Institute of St. Joe’s Hamilton ON Canada Population Health Research Institute Hamilton Canada Geneva University Hospitals Geneva Switzerland Faculty of Medicine Mashhad University of Medical Sciences Mashhad Iran Department of Nutrition and Dietetics Jimma University Jimma Ethiopia Anesthesiology Department Dilla University Addis Ababa Ethiopia Department of Juridical and Economic Studies La Sapienza University Rome Italy Non-Communicable Diseases Research Center Tehran University of Medical Sciences Tehran Iran Social Determinants of Health Research Center Shahid Beheshti University of Medical Sciences Tehran Iran Brigham and Women’s Hospital Harvard University Boston MA USA Students’ Scientific Research Center (SSRC) Tehran University of Medical Sciences Tehran Iran School of Medicine Tehran University of Medical Sciences Tehran Iran School of Medicine Shahid Beheshti University of Medical Sciences Tehran Iran Endocrinology and Metabolism Research Institute Tehran University of Medical Sciences Tehran Iran Chapter of Addiction Medicine University of Sydney Sydney NSW Australia Advanced Diagnostic and Intervent

Chronic care manages long-term, progressive conditions, while acute care addresses short-term conditions. Chronic conditions increasingly strain health systems, which are often unprepared for these demands. This study examines the burden of conditions requiring acute versus chronic care, including sequelae. Conditions and sequelae from the Global Burden of Diseases Study 2019 were classified into acute or chronic care categories. Data were analysed by age, sex, and socio-demographic index, presenting total numbers and contributions to burden metrics such as Disability-Adjusted Life Years (DALYs), Years Lived with Disability (YLD), and Years of Life Lost (YLL). Approximately 68% of DALYs were attributed to chronic care, while 27% were due to acute care. Chronic care needs increased with age, representing 86% of YLDs and 71% of YLLs, and accounting for 93% of YLDs from sequelae. These findings highlight that chronic care needs far exceed acute care needs globally, necessitating health systems to adapt accordingly. © 2025. The Author(s).

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On matching, and even rectifying, dynamical systems through koopman operator eigenfunctions

arXiv

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arXiv 2017年

作者： Bollt, Erik M. Li, Qianxiao Dietrich, Felix Kevrekidis, Ioannis Department of Mathematics Department of Electrical and Computer Engineering Department of Physics Clarkson University PotsdamNY13699 United States Institute of High Performance Computing Agency for Science Technology and Research Singapore138632 Singapore Department of Chemical and Biomolecular Engineering Department of Applied Mathematics and Statistics Johns Hopkins University and JHMI

Matching dynamical systems, through different forms of conjugacies and equivalences, has long been a fundamental concept, and a powerful tool, in the study and classification of nonlinear dynamic behavior (e.g. through normal forms). In this paper we will argue that the use of the Koopman operator and its spectrum is particularly well suited for this endeavor, both in theory, but also especially in view of recent data-driven algorithm developments. We believe, and document through illustrative examples, that this can nontrivially extend the use and applicability of the Koopman spectral theoretical and computational machinery beyond modeling and prediction, towards what can be considered as a systematic discovery of "Cole-Hopf-type" transformations for dynamics. Copyright © 2017, The Authors. All rights reserved.

关键词： Dynamical systems

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A graph-based patent evolution model using summarization and patent relationships 29

A graph-based patent evolution model using summarization and...

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29th International Conference on computer Applications in Industry and engineering, CAINE 2016

作者： Chen, Lun-Chi Chen, Yu-Chiuan Huang, Jyun-Yao Liao, I.-En National Center for High-performance Computing National Applied Research Laboratories Taichung Taiwan Department of Computer Science and Engineering National Chung-Hsing University Taichung Taiwan

ISBN: (纸本)9781943436040

The number of granted patents is rapidly growing because of strong business competition. For decision-makers in enterprises, it is necessary to understand the patent evolutions as soon as possible. Thus, how to discover the patent evolutions from patent databases and generate a vivid presentation on them are becoming important. In this study, a patent relationship discovery method was employed to organize the topics of patents in temporal order. A new multi-document summarization method based on graph algorithm was proposed to conduct a summarization analysis for automatically extracting key-phrases from several granted patent documents. The proposed methodology was evaluated using the dataset Wireless Communication Network (encoded with H04W) from granted patents under section G (physics) of United States Patent and Trademark Office (USPTO). The experimental results show that the proposed methodology can obtain more effective results than other methods for extracting keywords and helping users discovering critical techniques. Copyright ISCA, CAINE 2016.

关键词： Decision making

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Ultrafast spin-to-charge conversion at the surface of topological insulator thin films

arXiv

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arXiv 2018年

作者： Wang, Xinbo Cheng, Liang Zhu, Dapeng Wu, Yang Chen, Mengji Wang, Yi Zhao, Daming Boothroyd, Chris B. Lam, Yeng Ming Zhu, Jian-Xin Battiato, Marco Song, Justin C.W. Yang, Hyunsoo Chia, Elbert E.M. Division of Physics and Applied Physics School of Physical and Mathematical Sciences Nanyang Technological University 21 Nanyang Link 637371 Singapore Department of Electrical and Computer Engineering National University of Singapore 117576 Singapore School of Materials Science and Engineering Nanyang Technological University 50 Nanyang Avenue 639798 Singapore Theoretical Division Center for Integrated Nanotechnologies Los Alamos National Laboratory NM87545 United States Beijing National Laboratory for Condensed Matter Physics Institute of Physics Chinese Academy of Sciences Beijing100190 China Institute of Solid State Physics Vienna University of Technology Vienna1040 Austria Institute of High Performance Computing Agency for Science Technology and Research 138632 Singapore

Topological insulators (TIs) provide a fascinating example where strong spin-orbit interaction leads to the formation of spin-momentum-locked (topological) surface states,[1,2] and are anticipated to mediate superior spin-charge conversion (SCC).[3,4] As a result, employing conventional steady-state transport set-ups, TIs have been exploited to exert spin orbit torque on the adjacent ferromagnetic (FM) layers,[5-12] as well as generate charge current from spin current.[13-19] However, these transport studies involved contact fabrication, required complicated data analysis to extract the spin-related component, and their signal is in the DC regime. Direct access to the dynamics of SCC - a crucial ingredient in optimizing TI based spintronic devices - remains conspicuously missing. The difficultly of tracking SCC dynamics stems from the need to address both the ultrafast timescales involved as well as obtain spin resolution simultaneously. Copyright © 2018, The Authors. All rights reserved.

关键词： Surface states

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Neural generative question answering 25

Neural generative question answering

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25th International Joint Conference on Artificial Intelligence, IJCAI 2016

作者： Yin, Jun Xin, Jiang Lu, Zhengdong Shang, Lifeng Li, Hang Li, Xiaoming School of Electronic Engineering and Computer Science Peking University China Noah's Ark Lab Huawei Technologies China Collaborative Innovation Center of High Performance Computing NUDT Changsha China

This paper presents an end-to-end neural network model, named Neural Generative Question Answering (GENQA), that can generate answers to simple factoid questions, based on the facts in a knowledge-base. More specifically, the model is built on the encoder-decoder framework for sequence-to-sequence learning, while equipped with the ability to enquire the knowledge-base, and is trained on a corpus of question-answer pairs, with their associated triples in the knowledge-base. Empirical study shows the proposed model can effectively deal with the variations of questions and answers, and generate right and natural answers by referring to the facts in the knowledge-base. The experiment on question answering demonstrates that the proposed model can outperform an embedding-based QA model as well as a neural dialogue model trained on the same data.

关键词： Neural network models

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Person re-identification by camera correlation aware feature augmentation

arXiv

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arXiv 2017年

作者： Chen, Ying-Cong Zhu, Xiatian Zheng, Wei-Shi Lai, Jian-Huang School of Data and Computer Science Sun Yat-sen University Guangzhou510275 China Collaborative Innovation Center of High Performance Computing National University of Defense Technology Changsha410073 China Department of Computer Science and Engineering Chinese University of Hong Kong School of Electronic Engineering and Computer Science Queen Mary University of London United Kingdom Key Laboratory of Machine Intelligence and Advanced Computing Sun Yatsen University Ministry of Education China Guangdong Province Key Laboratory of Information Security China

The challenge of person re-identification (re-id) is to match individual images of the same person captured by different non-overlapping camera views against significant and unknown cross-view feature distortion. While a large number of distance metric/subspace learning models have been developed for re-id, the cross-view transformations they learned are view-generic and thus potentially less effective in quantifying the feature distortion inherent to each camera view. Learning view-specific feature transformations for re-id (i.e., view-specific re-id), an under-studied approach, becomes an alternative resort for this problem. In this work, we formulate a novel view-specific person re-identification framework from the feature augmentation point of view, called Camera coRrelation Aware Feature augmenTation (CRAFT). Specifically, CRAFT performs cross-view adaptation by automatically measuring camera correlation from cross-view visual data distribution and adaptively conducting feature augmentation to transform the original features into a new adaptive space. Through our augmentation framework, view-generic learning algorithms can be readily generalized to learn and optimize view-specific sub-models whilst simultaneously modelling view-generic discrimination information. Therefore, our framework not only inherits the strength of view-generic model learning but also provides an effective way to take into account view specific characteristics. Our CRAFT framework can be extended to jointly learn view-specific feature transformations for person re-id across a large network with more than two cameras, a largely under-investigated but realistic re-id setting. Additionally, we present a domain-generic deep person appearance representation which is designed particularly to be towards view invariant for facilitating cross-view adaptation by CRAFT. We conducted extensively comparative experiments to validate the superiority and advantages of our proposed framework over state-of

关键词： Cameras

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