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2017 IEEE 第2届先进信息技术,电子与自动化控制国际会议(IAEAC 2017)

作者： Zheng Wang Fang Gao Beijing Engineering Research Center for IoT Software and Systems School of Software Engineering Beijing University of Technology

This paper presents a parallel face detection system based on multi-core processors, of which the hardware part uses the ZYNQ chips and multi-core processors and the software part includes the input a

ISBN: (纸本)9781467389808

关键词： Face detection LBP AdaBoost Multicore Parallel computing

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Research on Fusion Method for Indoor Positioning System based on Sensors and WLAN Technology 2

Research on Fusion Method for Indoor Positioning System base...

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2017 IEEE 第2届先进信息技术,电子与自动化控制国际会议(IAEAC 2017)

作者： Guang Yang Beijing Engineering Research Center for IoT Software and Systems School of Software Engineering Beijing University of Technology

In order to improve the quality of the RSS(Received Signal Strength) during the offline phase, a Mixture Gaussian Calibration Model(MGCM) is proposed by us, and a Time Latency Calibration Model(TLCM)

ISBN: (纸本)9781467389808

In order to improve the quality of the RSS(Received Signal Strength) during the offline phase, a Mixture Gaussian Calibration Model(MGCM) is proposed by us, and a Time Latency Calibration Model(TLCM)

关键词： Calibration Fingerprint recognition Algorithm design and analysis Neural networks Delays Delay effects

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Synchronization of Intermittently Coupled Neural Networks With Coupling Delay

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IEEE Transactions on Neural Networks and Learning systems 2025年第5期36卷 7984-7996页

作者： Zhu, Shuaibing Sang, Hong Zhang, Kai Kong, Fanchao Lu, Jinhu Hunan Normal University MOE-LCSM School of Mathematics and Statistics Changsha410081 China Dalian Maritime University College of Marine Electrical Engineering Dalian116026 China Harbin Institute of Technology Center for Control Theory and Guidance Technology Harbin150001 China Anhui Normal University School of Mathematics and Statistics Anhui Wuhu241000 China Beihang University School of Automation Science and Electrical Engineering State Key Laboratory of Software Development Environment Beijing100083 China Chinese Academy of Sciences Academy of Mathematics and Systems Science Beijing100190 China

In recent years, the synchronization of coupled neural networks (CNNs) has been extensively studied. However, existing results heavily rely on assuming continuous couplings, overlooking the prevalence of intermittent couplings in reality. In this article, we address for the first time the synchronization challenge posed by intermittently CNNs (ICNNs) with coupling delay. To overcome the difficulties arising from intermittent couplings, we put forward a general piecewise delay differential inequality to characterize the dynamics during both coupled intervals and decoupled intervals. Based on the proposed inequality, we establish delay-independent synchronization criteria (DISCs) for ICNNs, enabling them to tackle general coupling delay. Notably, unlike previous studies, the achievement of synchronization in our approach does not rely on external control. Furthermore, for ICNNs that synchronize only under small delays, we formulate non-linear matrix inequality (LMI)-based delay-dependent synchronization criteria (DDSCs) that are computationally efficient and do not require delay differentiability. Finally, we provide illustrative examples to demonstrate our theoretical results. © 2012 IEEE.

关键词： Coupled neural networks (CNNs) coupling delay intermittent coupling synchronization

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Interplay of lung microbiome and epigenetics in former smokers: A machine learning and fuzzy logic approach on COPD progression

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Heliyon 2025年第5期11卷

作者： Taherkhani, Hamidreza Kavianfar, Azadeh Lanjanian, Hossein Hosseinkhan, Nazanin Salimi, Mahdieh Nematzadeh, Sajjad Naghizadeh, Mohammad Mehdi Azimzadeh, Sadegh Masoudi-Nejad, Ali Laboratory of Systems Biology and Bioinformatics (LBB) Department of Bioinformatics Kish Intl. Campus University of Tehran Tehran Iran Cellular and Molecular Endocrine Research Center Research Institute for Endocrine Molecular Biology Research Institute for Endocrine Sciences Shahid Beheshti University of Medical Sciences Tehran Iran Institute of Endocrinology and Metabolism Iran University of Medical Sciences (IUMS) Tehran Iran Department of Medical Genetics Institute of Medical Biotechnology National Institute of Genetic Engineering and Biotechnology (NIGEB) Tehran Iran Software Engineering Department Faculty of Engineering Istanbul Topkapi University Istanbul Türkiye Noncommunicable Diseases Research Center Fasa University of Medical Sciences Fasa Iran Chemical Injuries Research Center Systems Biology and Poisonings Institute Tehran Iran Laboratory of Systems Biology and Bioinformatics (LBB) Institute of Biochemistry and Biophysics University of Tehran Tehran Iran

The progression of Chronic Obstructive Pulmonary Disease (COPD) has been shown in many studies to be directly related to changes in epigenetic modification. This study aims to investigate the relationships between smoking status, lung microbiome dysbiosis, and the long-term effect of smoking persists even in former smokers. A supervised machine learning algorithm was employed to classify preprocessed 16S rRNA data from 112 COPD patients, identify operational taxonomic units (OTUs), and assess bacterial abundance and diversity. Metabolic models and interactions of key bacteria associated with mortality were further investigated, along with their influence on host epigenetics. Discriminative features related to mortality and the distinction between current smokers and former smokers were successfully identified using features obtained from a fuzzy logic-based model built on the extracted data. A comprehensive microbiome analysis revealed a total of 1781 OTUs, with 13 showing significant differences in abundance and relevance to COPD across 5 phyla. Bacterial metabolic interactions were identified, and a network was constructed by simulating the environment, identifying 379 robust interactions. We observed a decrease in Veillonella abundance during Acute Exacerbation of Chronic Obstructive Pulmonary Disease (AECOPD) compared to stable clinical periods and a decrease in Veillonellaceae abundance in sputum samples after AECOPD triggered by rhinovirus infection. Notably, the epigenetic changes induced by smoking suggested a long-lasting consequence for cellular function and disease susceptibility even after quitting smoking. We proposed epigenetics as the key to the relationship between anaerobic and aerobic bacteria in the lung microbiome of individuals with COPD. Anaerobic bacteria produce metabolites during fermentation and positively affect aerobic bacteria. By influencing the epigenetic regulation of genes related to the immune response, inflammation, and cell prolif

关键词： COPD Current smoker Epigenetics Former smoker Lung microbiome Machine learning Metabolic models

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Echo State Network With Probabilistic Regularization for Time Series Prediction

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IEEE/CAA Journal of Automatica Sinica 2023年第8期10卷 1743-1753页

作者： Xiufang Chen Mei Liu Shuai Li the Engineering Research Center of Open Source Software and Real-Time Systems Ministry of EducationSchool of Information Science and EngineeringLanzhou UniversityLanzhou 730000China IEEE

Recent decades have witnessed a trend that the echo state network(ESN)is widely utilized in field of time series prediction due to its powerful computational ***,most of the existing research on ESN is conducted under the assumption that data is free of noise or polluted by the Gaussian noise,which lacks robustness or even fails to solve real-world *** work handles this issue by proposing a probabilistic regularized ESN(PRESN)with robustness ***,we design a novel objective function for minimizing both the mean and variance of modeling error,and then a scheme is derived for getting output weights of the ***,generalization performance,robustness,and unbiased estimation abilities of the PRESN are revealed by theoretical ***,experiments on a benchmark dataset and two real-world datasets are conducted to verify the performance of the proposed *** source code is publicly available at https://***/LongJinlab/probabilistic-regularized-echo-state-network.

关键词： Echo state network(ESN) noise probabilistic regularization robustness

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Knowledge-based approach to domain modeling: Application to nasa's payload operations control centers

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Telematics and Informatics 1992年第3-4期9卷 281-296页

作者： Gomaa, Hassan Kerschberg, Larry Sugumaran, Vijayan Center for Software Systems Engineering Department of Information and Software Systems Engineering George Mason University Fairfax Virginia 22030-4444 United States

Several institutions in industry and academia are pursuing research efforts in domain modeling to address unresolved issues in software reuse. To demonstrate the concepts of domain modeling and software reuse, a prototype software engineering environment is being developed at George Mason University to support the creation of domain models and the generation of target system specifications. This prototype environment, which is application domain independent, consists of an integrated set of commercial off-the-shelf software tools and custom-developed software tools. This paper describes the knowledge-based tool that has been developed as part of the environment to generate target system specifications from a domain model. This knowledge-based approach to domain modeling has been applied to NASA's Payload Operations Control center (POCC) domain. © 1992, Pergamon Press Ltd.. All rights reserved.

关键词： Aerospace Knowledge-based systems Models

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Preface

Sustainable Civil Infrastructures

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Sustainable Civil Infrastructures 2025年 Part F4042卷 vii-viii页

作者： Al-Turjman, Fadi Artificial Intelligence Software and Information Systems Engineering Departments Research Center for AI and IoT AI and Robotics Institute Near East University Mersin 10 Turkey

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A replicate empirical comparison between pair development and software development with inspection 07

A replicate empirical comparison between pair development an...

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1st International Symposium on Empirical software engineering and Measurement, ESEM 2007

作者： Phongpaibul, Monvorath Boehm, Barry Center for Systems and Software Engineering University of Southern California

ISBN: (纸本)0769528864

In 2005, we studied the development effort and effect of quality comparisons between software development with Fagan's inspection and pair development. Three experiments were conducted in Thailand: two classroom experiments and one industry experiment. We found that in the classroom experiments, the pair development group had less average development effort than the inspection group with the same or higher level of quality. The industry experiment's result showed pair development to have a bit more effort but about 40% fewer major defects. However, since this set of experiments was conducted in Thailand, the results may be different if we conducted the experiment in other countries due to the impact of cultural differences. To investigate this we conducted another experiment with Computer Science graduate students at USC in Fall 2006. Unfortunately, the majority of the graduate students who participated in the experiment were from India, a country in which the culture is not much different from Thailand [18], [19]. As a result, we cannot compare the impact of cultural differences in this paper. However, the results showed that the experiment can be replicated in other countries where the cultures are similar. © 2007 IEEE.

关键词： Inspection

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LaneDraw: Cascaded lane and its bifurcation detection with nested fusion

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Science China(Technological Sciences) 2021年第6期64卷 1238-1249页

作者： REN KeYan HOU HaoChen LI SiYang YUE TianYi Faculty of Information Technology Beijing University of TechnologyBeijing 100124China Beijing Engineering Research Center for IoT Software and Systems Beijing 100124China

Lane and its bifurcation detection is a vital and active research topic in low cost camera-based autonomous driving and advanced driver assistance system(ADAS). The common lane detection pipeline usually predicts lane segmentation mask firstly, and then makes line fitting by parabola or spline post-processing. However, if the speed of the lane and its bifurcation detection is fast and robust enough, we think curve fitting is not a necessary step. The goal of this work is to get accurate lane segmentation,identification of every lane, adaptability of lane numbers and the right combination of lane bifurcation. In this work, we relabeled lane and its bifurcation with solid line if the image of Tu Simple dataset has both of them. In the data training process, we apply a data balance strategy for the heavily biased lane and non-lane data. In such a way, we develop a competitive cascaded instance lane detection model and propose a novel bifurcation pixel embedding nested fusion method based on full binary segmentation pixel embedding with self-grouping cluster, called Lane Draw. Our method discards curve fitting process, therefore it reduces the complexity of post-processing and increases detection speed at 35 fps. Moreover, the proposed method yields better performance and high accuracy on the relabeled Tu Simple dataset. To the best of our knowledge, this is the first attempt in 2 D lane and bifurcation detection, which more often happens in actual situations.

关键词： lane detection bifurcation fusion instance segmentation autonomous driving

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Compositional adjustment of concurrent programs to satisfy temporal logic constraints in MENDELS ZONE

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JOURNAL OF systems AND software 1996年第3期33卷 207-221页

作者： Uchihira, N Honiden, S Systems & Software Engineering Laboratory Research & Development Center Toshiba Corporation 70 Yanagi-cho Saiwai-ku Kawasaki 210 Japan

In this paper, we examine ''program adjustment'', a formal and practical approach to developing correct concurrent programs, by automatically adjusting an imperfect program to satisfy given constraints. A concurrent program is modeled by a finite state process, and program adjustment to satisfy temporal logic constraints is formalized as the synthesis of an arbiter process which partially serializes target (i.e., imperfect) processes to remove harmful nondeterministic behaviors. Compositional adjustment is also proposed for large-scale compound target processes, using process equivalence theory. We have developed a computer-aided programming environment on the parallel computer Multi-PSI, called MENDELS ZONE, that adopts this compositional adjustment. Adjusted programs can be compiled into the kernel language (KL1) and executed on Multi-PSI.

关键词： Computer aided software engineering

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