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IEEE International Symposium on Circuits and Systems (ISCAS)

作者： T. Masuzaki H. Tsutsui T. Izumi T. Onoye Y. Nakamura Department of Communications and Computer Engineering Graduate School of Informatics Kyoto University Kyoto Japan

A novel rate control scheme is proposed dedicatedly for JPEG2000 image coding. By predicting bitrate of coded data and updating it adaptively, the proposed scheme can be executed in parallel with the code-block coding of code-block coding such as coefficient bit modeling and arithmetic coding. The proposed scheme successfully reduces computational cost and working memory size of the process down to 29% and 13%, respectively, comparing to a conventional approach in case of 1/16 compression, and hence is suitable to be used in embedded systems.

关键词： Programmable control Adaptive control Control systems Embedded system Image coding Arithmetic Communication system control Image quality Tiles Bit rate

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Load Balancing Algorithm in a Software-Defined Network Environment with Round Robin and Least Connections 7th

Load Balancing Algorithm in a Software-Defined Network Env...

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7th EAI International Conference on Smart Grid and Internet of Things, SGIoT 2023

作者： Wijaya, Chandra Wiryasaputra, Rita Huang, Chin-Yin Tanato, Jodi Yang, Chao-Tung Department of Industrial Engineering and Enterprise Information Tunghai University Taichung407224 Taiwan Department of Informatics Parahyangan Catholic University Bandung40141 Indonesia Department of Informatics Krida Wacana Christian University Jakarta11470 Indonesia Department of Computer Science Tunghai University Taichung407224 Taiwan Research Center for Smart Sustainable Circular Economy Tunghai University Taichung407224 Taiwan

ISBN: (纸本)9783031559754

In a traditional computer network, each device has its configuration. The Software Defined Network (SDN) architecture ensures that every device in the network will become a dummy device, which must connect to a controller before action can be taken on every packet that the device receives. Each device does not require manual configuration with the centralized configuration. The huge growth of internet traffic can affect the server’s performance when handling requests of many clients. The algorithms, such as Round Robin and Least Connection, influence the load-balancing technology to divide the request to some servers. The server’s performance increases after implementing load balancing with the algorithm in testing. The comparative result of the Round Robin and Least Connection algorithms shows that the Least Connection performs better than the Round Robin algorithm. By using load balancing in the SDN architecture, the increasing of the request capacity can be handled by the server. © ICST Institute for computer Sciences, Social informatics and Telecommunications engineering 2024.

关键词： Network architecture

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Datatype evolution on RDF ontologies

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International Journal of Web engineering and Technology 2014年第1期9卷 30-61页

作者： Analyti, Anastasia Pachoulakis, Ioannis Institute of Computer Science FORTH-ICS Crete Greece Department of Informatics Engineering TEI of Crete Crete Greece

Semantic web ontologies are not static but evolve as the understanding of the domain (or the domain itself) grows or evolves. This evolution is usually independent of the ontological instance descriptions which are stored in knowledge bases (KBs). Therefore, the effects of an ontology update on instance descriptions which are migrated to a new ontology version should be studied. In this paper, we are interested in the effects of the migration of literal-valued instance triples of an RDF KB to a new ontology version. Note that the datatype of the property of such an instance description may have evolved in the new ontology version, e.g., from integer to decimal or from float to double. We manage the quality of these migrated instance triples and design flexible interactive methods through which the curator of the KB can intervene to correct the 'inaccuracies' of the literal values that are incurred by the migration process. In addition, specialised algorithms are presented, which are highly efficient, since their time and space complexity is linear with respect to the size of the literal-valued instance triples of the KB. Our work is particularly important to e-science applications that are commonly curated and have many datatype properties. Copyright © 2014 Inderscience Enterprises Ltd.

关键词： Ontology

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A novel framework of fast and unambiguous link failure localization via monitoring trails

A novel framework of fast and unambiguous link failure local...

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IEEE Conference on computer Communications Workshops, INFOCOM 2010

作者： Wu, Bin Ho, Pin-Han Tapolcai, János Jiang, Xiaohong Department of Electrical and Computer Engineering University of Waterloo Waterloo ON N2L 3G1 Canada Department of Telecommunications and Media Informatics Budapest University of Technology and Economics Budapest Hungary Department of Computer Science Graduate School of Information Science Tohoku University Aramaki Sendai 980-8579 Japan

ISBN: (纸本)9781424467396

The concept of monitoring trail (m-trail) has been proposed for achieving Fast and Unambiguous Link-failure Localization (FULL) in all-optical WDM (Wavelength Division Multiplexing) mesh networks. Previous studies on m-trails assumed the presence of alarm dissemination at each node such that a remote routing entity can collect the flooded alarm bits and form the alarm code to localize the failed link. This obviously leads to additional delay and extra control complexity in the electronic domain process. In this paper, we propose a novel framework based on m-trails for FULL, aiming at avoiding any possible alarm flooding and electronic domain mechanism such that each individual monitoring node (MN) can localize a single link failure according to locally available alarm bits. To save the supervisory wavelength-links, the proposed framework enables that the status of an m-trail can be monitored by multiple MNs along the m-trail by tapping the optical supervisory signal, rather than only by the destination node of the m-trail. An ILP (Integer Linear Program) is formulated and solved in a case study to verify the ILP and show the effectiveness of the proposed framework. We demonstrate that the status sharing among MNs of a common m-trail can effectively suppress the increase of supervisory wavelength-links as the number of MNs increases. ©2010 IEEE.

关键词： Wavelength division multiplexing

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Towards an analysis of dynamic environments 05

Towards an analysis of dynamic environments

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GECCO 2005 - Genetic and Evolutionary Computation Conference

作者： Branke, Jürgen Salihoǧlu, Erdem Uyar, Şima Institute AIFB University of Karlsruhe 76128 Karlsruhe Germany Istanbul Technical University Informatics Institute Maslak 34469 Istanbul Turkey Istanbul Technical University Computer Engineering Department Maslak 34469 Istanbul Turkey

ISBN: (纸本)1595930108

Although the interest in nature-inspired optimization of dynamic problems has been growing constantly over the past decade, very little has been done to analyze and characterize a changing fitness landscape. However, it would be very helpful for algorithm development to have a better understanding of the nature of fitness changes in dynamic real-world problems. In this paper, we propose< a number of measures that can be used to analyze and characterize the dynamism in a problem changing over time. Additionally, we introduce a new dynamic multi-dimensional knapsack problem as a close-to-real-world test problem. Copyright 2005 ACM.

关键词： Dynamic programming

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The effect of Alzheimer's disease genetic factors on limbic white matter microstructure

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Alzheimer's and Dementia 2025年第4期21卷 e70130页

作者： Lorenz, Anna Sathe, Aditi Zaras, Dimitrios Yang, Yisu Durant, Alaina Kim, Michael E. Gao, Chenyu Newlin, Nancy R. Ramadass, Karthik Kanakaraj, Praitayini Khairi, Nazirah Mohd Li, Zhiyuan Yao, Tianyuan Huo, Yuankai Dumitrescu, Logan Shashikumar, Niranjana Pechman, Kimberly R. Jackson, Trevor Bryan Workmeister, Abigail W. Risacher, Shannon L. Beason-Held, Lori L. An, Yang Arfanakis, Konstantinos Erus, Guray Davatzikos, Christos Habes, Mohamad Wang, Di Tosun, Duygu Toga, Arthur W. Thompson, Paul M. Mormino, Elizabeth C. Zhang, Panpan Schilling, Kurt Albert, Marilyn Kukull, Walter Biber, Sarah A. Landman, Bennett A. Johnson, Sterling C. Bendlin, Barbara Schneider, Julie Barnes, Lisa L. Bennett, David A. Jefferson, Angela L. Resnick, Susan M. Saykin, Andrew J. Hohman, Timothy J. Archer, Derek B. Vanderbilt Memory and Alzheimer's Center Vanderbilt University School of Medicine Nashville TN United States Vanderbilt Brain Institute Vanderbilt University Medical Center Nashville TN United States Department of Computer Science Vanderbilt University Nashville TN United States Department of Electrical and Computer Engineering Vanderbilt University Nashville TN United States Department of Neurology Vanderbilt University Medical Center Nashville TN United States Vanderbilt Genetics Institute Vanderbilt University Medical Center Nashville TN United States Department of Radiology and Imaging Sciences Indiana University School of Medicine Indianapolis IN United States Indiana Alzheimer's Disease Research Center Indiana University School of Medicine Indianapolis IN United States Laboratory for Behavioral Neuroscience National Institute on Aging National Institutes of Health Baltimore MD United States Department of Biomedical Engineering Illinois Institute of Technology Chicago IL United States Rush Alzheimer's Disease Center Rush University Medical Center Chicago IL United States Department of Diagnostic Radiology Rush University Medical Center Chicago IL United States Department of Radiology University of Pennsylvania Philadelphia PA United States Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases University of Texas Health Science Center at San Antonio San Antonio TX United States University of Texas Health Science Center at San Antonio San Antonio TX United States Department of Radiology and Biomedical Imaging University of California San Francisco San Francisco CA United States Laboratory of Neuroimaging USC Stevens Institute of Neuroimaging and Informatics Keck School of Medicine University of Southern California Los Angeles CA United States Imaging Genetics Center Mark and Mary Stevens Institute for Neuroimaging and Informatics Keck School of Medicine University of Southern California Marina del Rey CA United States De

INTRODUCTION: White matter (WM) microstructure is essential for brain function but deteriorates with age and in neurodegenerative conditions such as Alzheimer's disease (AD). Diffusion MRI, enhanced by advanced bi-tensor models accounting for free water (FW), enables in vivo quantification of WM microstructural differences. METHODS: To evaluate how AD genetic risk factors affect limbic WM microstructure – crucial for memory and early impacted in disease – we conducted linear regression analyses in a cohort of 2,614 non-Hispanic White aging adults (aged 50.12 to 100.85 years). The study evaluated 36 AD risk variants across 26 genes, the association between AD polygenic scores (PGSs) and WM metrics, and interactions with cognitive status. RESULTS: AD PGSs, variants in TMEM106B, PTK2B, WNT3, and apolipoprotein E (APOE), and interactions involving MS4A6A were significantly linked to WM microstructure. DISCUSSION: These findings implicate AD-related genetic factors related to neurodevelopment (WNT3), lipid metabolism (APOE), and inflammation (TMEM106B, PTK2B, MS4A6A) that contribute to alternations in WM microstructure in older adults. Highlights: AD risk variants in TMEM106B, PTK2B, WNT3, and APOE genes showed distinct associations with limbic FW-corrected WM microstructure metrics. Interaction effects were observed between MS4A6A variants and cognitive status. PGS for AD was associated with higher FW content in the limbic system. © 2025 The Author(s). Alzheimer's & Dementia published by Wiley Periodicals LLC on behalf of Alzheimer's Association.

关键词： Alzheimer's disease diffusion MRI free water genetic risk variants polygenic risk white matter microstructure

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Hybrid Methodologies for Segmentation and Classification of Skin Diseases: A Study

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Journal of computer and Communications 2021年第4期9卷 67-84页

作者： Md. Al Mamun Mohammad Shorif Uddin Department of Public Health and Informatics Jahangirnagar University Savar Dhaka Bangladesh Department of Computer Science and Engineering Jahangirnagar University Savar Dhaka Bangladesh

Skin disorders are a serious global health problem for humans. These disorders become dangerous when they grow into the malignant stage. Hence, it is necessary to detect these diseases at their early stage. A mobile-based automated skin disease detection system is vital for detecting skin diseases. This system also offers cure or treatment plans to the affected person through the short message service (SMS) or electronic mail (e-mail). An effective skin disease detection system consists of three processes: segmentation, feature extraction, and classification. Several hybrid methodologies are already developed for the above-mentioned processes for detecting skin diseases at the initial stage. This research gives a standard hybrid framework for detecting skin diseases and highlights some design requirements for achieving high accuracy. Existing state-of-the-art hybrid methods of three processes for detecting skin diseases along with their limitations are also summarized. It also identifies the challenges for developing an effective skin disease detection system and gives future research directions.

关键词： Segmentation Feature Extraction Classification Machine Learning

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A co-registration method to validate in vivo optical coherence tomography in the breast surgical cavity

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Heliyon 2025年第1期11卷 e41265页

作者： Sanderson, Rowan W. Zilkens, Renate Gong, Peijun Boman, Imogen Foo, Ken Y. Shanthakumar, Skandha Stephenson, James Ooi, Wei Ling Cid Fernandez, José Chin, Synn Lynn Jackson, Lee Hardie, Mireille Dessauvagie, Benjamin F. Rijhumal, Anmol Hamza, Saud Saunders, Christobel M. Kennedy, Brendan F. BRITElab Harry Perkins Institute of Medical Research QEII Medical Centre Nedlands and Centre for Medical Research The University of Western Australia Perth Australia Department of Electrical Electronic and Computer Engineering School of Engineering The University of Western Australia Perth Australia Division of Surgery Medical School The University of Western Australia Perth WA Australia OncoRes Medical Perth WA Australia Breast Centre Fiona Stanley Hospital Murdoch WA Australia PathWest Fiona Stanley Hospital 11 Robin Warren Drive Murdoch 6150 WA Australia Division of Pathology and Laboratory Medicine Medical School The University of Western Australia Perth 6009 WA Australia Clinipath Pathology Suite 1 302 Selby Street North Osborne Park 6017 WA Australia Department of Surgery Medical School The University of Melbourne Melbourne VIC Australia Institute of Physics Faculty of Physics Astronomy and Informatics Nicolaus Copernicus University in Toruń Grudziadzka 5 Torun 87-100 Poland Australian Research Council Centre for Personalised Therapeutics Technologies Melbourne Australia

Breast-conserving surgery accompanied by adjuvant radiotherapy is the standard of care for patients with early-stage breast cancer. However, re-excision is reported in 20–30 % of cases, largely because of close or involved tumor margins in the specimen. Several intraoperative tumor margin assessment techniques have been proposed to overcome this issue, however, none have been widely adopted. Furthermore, tumor margin assessment of the excised specimen provides only an indirect indication of residual cancer in the patient following excision of the primary tumor. Handheld optical coherence tomography (OCT) probes and their functional extensions have the potential to detect residual cancer in vivo in the surgical cavity. Until now, validation of in vivo OCT has been achieved through correlation with ex vivo histology performed on the specimen removed during surgery that is adjacent to the tissue scanned in vivo. However, this indirect approach cannot accurately validate in vivo imaging performance. To address this, we present a method for robust co-registration of in vivo OCT scans with histology performed, not on the main specimen, but on cavity shavings corresponding directly to the tissue scanned in vivo. In this approach, we use ex vivo OCT scans as an intermediary, surgical sutures as fiducial markers, and extend the in vivo field-of-view to 15 × 15 mm² by acquiring partially overlapping scans. We achieved successful co-registration of 78 % of 139 in vivo OCT scans from 16 patients. We present a detailed analysis of three cases, including a case where a functional extension of OCT, quantitative micro-elastography, was performed. © 2024

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Improving digital maps through GPS data processing

Improving digital maps through GPS data processing

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2009 12th International IEEE Conference on Intelligent Transportation Systems, ITSC '09

作者： Freitas, Tiago R.M. Coelho, António Rossetti, Rosaldo J.F. Department of Informatics Engineering Faculty of Engineering University of Porto Portugal INESC Porto Portugal Artificial Intelligence and Computer Science Lab. LIACC/NIAD and R Rua Dr. Roberto Frias s/n 4200-465 Porto Portugal

ISBN: (纸本)9781424455218

Personal Navigation Assistants (PNA) depend on updated digital maps for correctly positioning and route guiding users. As updating digital maps by the usual means is a highly expensive and time consuming task, GPS points gathered by existing navigation devices can be used to compare the existing real road network with the digital one. This paper describes an approach to update digital maps through the use of GPS points obtained during users' journeys as a means to identify map incongruence. Detection of new roads and roundabouts are presented with an explanation of the problem and a sample of the results. © 2009 IEEE.

关键词： Global positioning system

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Traffic flow prediction based on BP neural network

Traffic flow prediction based on BP neural network

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2021 IEEE International Conference on Artificial Intelligence and Industrial Design, AIID 2021

作者： Wang, Tuo Zhang, Beibei Wei, Wei Damasevicius, Robertas Scherer, Rafal School of Computer Science and Engineering Xi'an University of Technology Xi'an710048 China Kaunas University of Technology Faculty of Informatics Multimedia Engineering Department Kaunas Lithuania Czestochowa University of Technology Al. ArmiiKrajowej 36 Czestochowa42-200 Poland

ISBN: (纸本)9780738110837

With the rise of artificial intelligence, artificial neural networks have also begun to develop rapidly. An artificial neural network consists of many artificial neurons, which is a structure that imitates the neurons created by the human brain. BPneural network is a classic algorithm in artificial neural network. Because the BP neural network has a simple structure, is easy to implement and can deal with nonlinear problems, it is widely used in pattern recognition, signal processing, and transportation systems. In this paper, the BP neural network, one of the classic artificial neural networks, is applied to the traffic flow prediction. The data used in this article is the traffic situation on the M4 highway from 2020-1-1 0:14:00 to 2020-1-2 23:59:00. Record the traffic data once every 15 minutes. There are a total of 192 groups of traffic data. From these 192 sets of data, 19 sets of random data are selected as test data, and the remaining 173 sets of data are used as training data. The BP neural network input layer is set to four variables: date, time, the number of cars in this period, the number of cars in this period, and the average speed value, and the output layer is set to the total traffic volume in this period. Use matlab2016a for simulation. The simulation results show that the BP neural network can accurately complete the traffic flow prediction problem. Because the initial weights and thresholds of the BP neural network have a great influence on the prediction accuracy, this paper uses particle swarm optimization to optimize the initial weights and thresholds of the BP neural network. Simulation results show that the optimized BP neural network is more stable than the mean square error before optimization, and the average relative error is smaller. © 2021 IEEE.

关键词： Mean square error

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