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15th Congress on Medical Informatics Europe, MIE 1999

作者： Babič, Špela Hleb Kokol, Peter Zorman, Milan Podgorelec, Vili Faculty of Electrical Engineering and Computer Science University of Maribor Laboratory for System Design Smetanova 17 2000 Maribor Slovenia

ISBN: (纸本)0967335515

Decision support systems that help physicians are becoming very important part of medical decision making. They are based on different models and the best of them are providing an explanation together with an accurate, reliable and quick response. One of the most viable among decision-making models is the concept of decision trees, already successfully used for many medical decision making purposes. Although effective and reliable, the traditional decision tree construction approach still contains several deficiencies. Therefore we decided to develop and compare several decision supporting models, each of them built with different discretization of attributes and decision classes. For the construction of decision trees we used MtDeciT, in our laboratory developed tool for building decision trees using the classical induction method. All solutions were evolved for determining the influence of basic properties of child and his/her parents to length of successful breastfeeding. A comparison between developed models and obtained results has shown that the way of discretization obviously plays a great role in the reliable and accurate real-world medical decision making.

关键词： Decision trees

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Dual-State-Driven Evolutionary Optimization for Expensive Optimization Problems with Continuous and Categorical Variables 5

Dual-State-Driven Evolutionary Optimization for Expensive Op...

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5th International Conference on Data-Driven Optimization of Complex systems, DOCS 2023

作者： Xie, Lindong Li, Genghui Lin, Kangnian Wang, Zhenkun School of System Design and Intelligent Manufacturing Southern University of Science and Technology Shenzhen China School of System Design and Intelligent Manufacturing Southern University of Science and Technology Department of Computer Science and Engineering Shenzhen China

ISBN: (纸本)9798350393521

The surrogate-assisted evolutionary algorithm (SAEA) is one of the most efficient approaches for addressing expensive continuous or combinatorial optimization problems. However, it encounters significant challenges in expensive mixed-variable optimization problems (EMVOPs). To overcome this limitation, a dual-state-driven evolutionary optimization (called DSDEO), integrating a surrogate-assisted mixed-variable evolutionary optimization stage (MVEOS) and a surrogate-assisted continuous-variable evolutionary optimization stage (CVEOS), is proposed in this paper. Specifically, MVEOS employs global and local search to enhance the exploration and exploitation of the mixed-variable space. Global and local searches are alternately executed if one search fails to yield a better solution. CVEOS utilizes a continuous-improvement strategy to refine the continuous variables of the best solution obtained so far. Experimental results demonstrate the advantages of DSDEO compared to some state-of-the-art SAEAs on many benchmark problems. © 2023 IEEE.

关键词： Evolutionary algorithms

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Decomposition-Based Memetic Algorithm for Multi-Objective Fleet Size and Mix Vehicle Routing Problem 13

Decomposition-Based Memetic Algorithm for Multi-Objective Fl...

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13th IEEE Congress on Evolutionary Computation, CEC 2024

作者： Ba, Yunpeng Zheng, Ruihao Wang, Zhenkun School of System Design and Intelligent Manufacturing Southern University of Science and Technology Shenzhen China School of System Design and Intelligent Manufacturing Southern University of Science and Technology Department of Computer Science and Engineering Shenzhen China

ISBN: (纸本)9798350308365

The heterogeneous fleet vehicle routing problem (HFVRP) is of great significance in logistics and transportation. This paper considers a crucial and challenging HFVRP variant, namely multi-objective fleet size and mix vehicle routing problem with unlimited fleet, fixed cost, and dependent cost (MO-FSMVRPFD). A decomposition-based memetic algorithm called MOEA/D-ALS is proposed to cope with MO-FSMVRPFD. MOEA/D-ALS uses the multi-objective evolutionary algorithm based on decomposition (MOEA/D) as the backbone. Beyond that, it adopts a replacement strategy based on maximal fitness improvement (MFI). In addition, the local search is conducted on difficult subproblems for further refinement. The experimental studies on 18 instances show that MOEA/D-ALS exhibits a significant performance superiority over two other representative algorithms. The effectiveness of both the MFI strategy and the adaptive local search procedure is also validated. © 2024 IEEE.

关键词： Vehicle routing

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Analysis of Sleep apnea Considering Electrocardiogram Data Using Deep learning Algorithms 8

Analysis of Sleep apnea Considering Electrocardiogram Data U...

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8th International Virtual Conference on Biosignals, Images, and Instrumentation, ICBSII 2022

作者： Rajabrundha, A. Lakshmisangeetha, A. Balajiganesh, A. Electronic System Design Lab Velammal Engineering College India Department of Computer Science Engineering Velammal Engineering College India Velammal Engineering College Chennai India

Sleep is a vital component of every human being. Adequate restful and restorative sleep reenergizes the body, enhances overall health and psychological well-being. Sleep hygiene, chaotic lifestyles, disorder breathing, stress, and anxiety contribute to poor sleep quality. Obstructive sleep apnea (OSA) sleep respiratory disorder causes temporary lapses of breathing results in gasping, choking, snoring sounds during sleep. The individual does not consciously wake up, but the brain has to start breathing again which disrupts the sleep quality. Polysomnography (PSG) sleep study is employed to diagnose sleep disorders by using either in-home or laboratory-based comprehensive tests. The untreated OSA leads to deterioration in health, performance consequences with severity including daytime sleepiness, motor vehicle accidents, workplace errors, cardiovascular morbidity, and mortality. The pre-processed, interpolated and segmented ECG signal is considered for the examination of OSA. This paper focuses on three types of deep learning classifiers-based prediction models for detection of apnea from the ECG signal. The accuracy value of Long Short Term Memory model (LSTM) is 85 percent and classifier's ability to distinguish between normal and apnea events is *** Gated Recurrent Unit (GRU) classifier and Convolution Neural Network (CNN) model have an f1- score value of 0.80. The proposed LSTM model provides the optimal performance in comparison to other deep learning models used for classification with respect to area under the curve (AUC) and accuracy metrics. © Published under licence by IOP Publishing Ltd.

关键词： Electrocardiograms

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Model checking with fairness assumptions using PAT

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Frontiers of computer Science 2014年第1期8卷 1-16页

作者： Yuanjie SI Jun SUN Yang LIU Jin Song DONG Jun PANG Shao Jie ZHANG Xiaohu YANG College of Computer Science Zhejiang University Hangzhou 310027 China Information System Technology and Design Singapore University of Technology and Design Singapore 138682 Singapore School of Computer Engineering Nanyang Technological University Singapore 639798 5ingapore School of Computing National University of Singapore Singapore 117417 Singapore Faculty of Science Technology and Communication University of Luxembourg Luxembourg L- 1359 Luxembourg

Recent development on distributed systems has shown that a variety of fairness constraints （some of which are only recently defined） play vital roles in designing self- stabilizing population protocols. Existing model checkers are deficient in verifying the systems as only limited kinds of fair- ness are supported with limited verification efficiency. In this work, we support model checking of distributed systems in the toolkit PAT （process analysis toolkit）, with a variety of fairness constraints （e.g., process-level weak/strong fairness, event-level weak/strong fairness, strong global fairness）. It performs on-the-fly verification against linear temporal prop- erties. We show through empirical evaluation （on recent pop- ulation protocols as well as benchmark systems） that PAT has advantage in model checking with fairness. Previously un- known bugs have been revealed against systems which are designed to function only with strong global fairness.

关键词： model checking fairness PAT verification tool,formal methods

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Conditional techniques for low power consumption flip-flops

Conditional techniques for low power consumption flip-flops

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作者： Nedovic, Nikola Aleksic, Marko Oklobdzija, Vojin G. Department of Electrical and Computer Engineering Advanced Computer System Design Laboratory University of California Davis CA 95616 United States

ISBN: (纸本)0780370570

Conditional capture and conditional precharge techniques for high-performance flip-flops are reviewed in terms of power and delay. It is found that application of conditional techniques can improve Energy-Delay Product for up to 14% for 50% input activity and save more than 50% in power consumption for quiet input. This property makes conditional methods suitable for high-performance VLSI systems. © 2001 IEEE.

关键词： Flip flop circuits

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Landscape Patterns in Mining Cities Influenced by Extraction and Terrain Features

Landscape Patterns in Mining Cities Influenced by Extraction...

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2023 International Conference on Data Science, Agents and Artificial Intelligence, ICDSAAI 2023

作者： Madhavan, K. Babu, J.Jai Jaganath Karthikeyan, P. Centre for System Design Chennai Institute of Technology Department of Computer Science & Engineering Tamil Nadu Chennai600 069 India Centre for System Design Chennai Institute of Technology Department of Biomedical Engineering Tamil Nadu Chennai600 069 India

ISBN: (纸本)9798350348910

The combined influence of mining activities and the underlying terrain gradient has caused significant transformations in the landscape patterns of mining cities. The natural topography being altered by mining operations can result in a distinct evolution in the spatial arrangement and ecological dynamics of these cities. Spatial heterogeneities are influenced by factors such as extraction techniques, waste disposal methods, and infrastructure development. The inherent terrain gradient heavily influences the distribution of mining sites and urban expansion patterns. This research underscores the intricate interplay between human-induced activities and natural topographical features in shaping the landscape of mining cities. The development of resilient communities in areas that are evolving due to mining requires a clear understanding of these dynamics for sustainable urban planning, environmental conservation, and community development. © 2023 IEEE.

关键词： Waste disposal

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Survival of the internet applications: A cluster recovery model

Survival of the internet applications: A cluster recovery mo...

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6th IEEE International Symposium on Cluster Computing and the Grid, 2006. CCGRID 06

作者： Aung, Khin Mi Mi Park, Kiejin Park, Jong Sou Network Security and System Design Lab. Computer Engineering Dept. Hankuk Aviation University Korea Republic of Division of Industrial and Information System Engineering Ajou University Korea Republic of Computer Engineering Dept. Hankuk Aviation University Korea Republic of

ISBN: (纸本)0769525857

Internet applications become increasingly widely used for millions of people in the world and on the other hand the accidents or disruptions of service are also dramatically increasing. Accidents or Disruptions occur either because of disasters or because of malicious attacks. The disasters could not be completely prevented. Prevention is a necessary but not a sufficient component of disaster. In this case, we have to prepare thoroughly for reducing the recovery time and get the users back to work faster. In this paper, we present a cluster recovery model to increase the the survivability level of Internet applications. We construct a state transition model to describe the behaviors of cluster systems. By mapping through recovery actions to this transition model with stochastic process, we capture system behaviors as well as we get mathematical steady-state solutions of that chain. We first carry out for steady-state behaviors leading to measures like steady-state availability. By transforming this model with the system states we compute a system measure, the mean time to repair (MTTR) and also compute probabilities of cluster systems failures due in face of disruptions. Our model with the recovery actions have several benefits, which include reducing the time to get the users back to work and making recovery performance insensitive to the selection of a failure treatment parameter. © 2006 IEEE.

关键词： Internet

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design and optimization on dynamic power system for self-powered integrated wireless sensing nodes

Design and optimization on dynamic power system for self-pow...

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2005 International Symposium on Low Power Electronics and design

作者： Ma, Dongsheng Wang, Janet M. Somasundaram, Mohankumar N. Hu, Zongqi Integrated System Design Laboratory Electrical and Computer Engineering Department University of Arizona Tucson AZ 85721 United States Digital VLSI Design Laboratory Electrical and Computer Engineering Department University of Arizona Tucson AZ 85721 United States

This paper presents an integrated power system for low-power wireless sensor networks with dynamic efficiency optimization technique. By adaptively resizing power transistors and adjusting switching frequency, system efficiency is enhanced significantly. Theoretical analysis is elaborated to support the proposed technique. A prototype integrated power system for self-powered photovoltaic wireless sensing node was designed and simulated with TSMC 0.35μm CMOS process. With a power range of 0.5μW to 10mW, power efficiency stays above 71%. Tolerance between theoretical and simulated optimal power transistor sizes is less than 6.7%, while that of optimal switching frequencies is less than 5%. The paper gives another solution to minimizing system power in the perspective of power processing. Copyright 2005 ACM.

关键词： Power electronics

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Progression to cell death correlates with neurite swelling induced by stretch injury

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Journal of Biomechanical Science and engineering 2012年第SPECIALISSUE.4期7卷 406-415页

作者： Nakadate, Hiromichi Umahashi, Hiroto Kakuta, Akira Aomura, Shigeru Graduate School of System Design Tokyo Metropolitan University 6-6 Asahigaoka Hino Tokyo 191-0065 Japan Advanced Course of Mechanical and Computer Systems Engineering Tokyo National College of Technology Japan

Diffuse axonal injury (DAI), a major component of traumatic brain injury, is associated with rapid deformation of brain tissue resulting in the stretching of neural axons. Focal axonal swelling, which is the morphological hallmarks of DAI pathology, leads to the disconnection of neurons from tissues, resulting in cell death. Our goal is better understanding of neuronal tolerance and help to predicting the pathogenesis of DAI from mechanical loading to the head. In present study, we developed an in vitro stretch injury device that subjected cultured cells to a wide range of mechanical stretch that are experienced during in vivo head injury. Then using this device, PC12 cells, which extend structurally axon-like cylindrical protrusions in culture, were stretched to a strain of 0.15, 0.30, or 1.00 at strain rates of 30, 40, or 80 s-1, or left as static culture. Following mechanical loading, we assessed neurite swelling resulting in neuronal detachment from culture substrate and neuronal death. As a result, the increase in early neurite swelling was dependent on the severity of the stretch, and neuronal adhesion and viability at 24 h post-injury decrease in a stretch-dependent manner. These results suggest that the formation of neurite swellings correlates with the progression to neuronal death. © 2012 by JSME.

关键词： Strain rate

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