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International Conference on Image Analysis and Signal Processing, IASP

作者： Xianjun Zhang Min Yao Rong Zhu State Key Laboratory of Novel Software Technology Nanjing University China School of Computer Science & Technology Zhejiang University HangZhou China School of Information Engineering Jiaxing University China

Image classification is one of the important parts of digital image processing. We propose a novel feature space-based image classification method by combining manifold learning and mixture model. In this paper, the process of image classification can be viewed as two parts: a coarse-grained classification and a fine-grained classification. In the coarse-grained classification, we apply the ISOMAP (Isometric Mapping) algorithm to do a dimensional reduction based on manifold learning. Thus, solving the classification problem is transformed from a high-dimensional data space to a low-dimensional feature space. And then, during the fine-grained classification, we present an improved EM algorithm of finite Gaussian mixture model to do clustering. Experimental results have demonstrated that the proposed method performs well in both accuracy and time. Additionally, our algorithm is robust to some extent.

关键词： Image classification Brightness Digital images Clustering algorithms Manifolds Histograms Remote sensing computer science Laboratories Space technology

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Online course selecting system design and implementation

Online course selecting system design and implementation

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2014 International Conference on Computational Intelligence and Industrial engineering(CIIE 2014)

作者： Yongsheng Zhang Ying Li Aiqin Bao School of Information Science and Engineering Shandong Normal University Shandong Provincial Key Laboratory for Novel Distributed Computer Software Technology School of History and Social Development Shandong Normal University

With the increase of the number of college and university students,the amount of senate system data is correspondingly rising. As the core of university management,educational administration and its degree of information are directly related to the university teaching quality and management efficiency. Compared with the traditional course enrolment,online course system can better reflect the wide application of information technology on campus,which was more convenient to communicate the information among schools,teachers,and students. Relying on the popular B/S three-tier architecture,we designed the online course system with a good interaction,scalability,and a strong security. This paper ***-based network technology elective system development process,outlined the function of online course selecting system,and its relevant technology.

关键词： educational administration B/S online course system

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Poster: Towards Accurate and Fast Federated Learning in End-Edge-Cloud Orchestrated Networks

Poster: Towards Accurate and Fast Federated Learning in End-...

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International Conference on Distributed Computing systems

作者： Mingze Li Peng Sun Huan Zhou Liang Zhao Xuxun Liu Victor C. M. Leung Hubei Key Laboratory of Intelligent Vision Based Monitoring for Hydroelectric Engineering College of Computer and Information Technology China Three Gorges University Yichang China College of Computer Science and Electronic Engineering Hunan University Changsha China College of Electronic and Information Engineering South China University of Technology Guangzhou China College of Computer Science and Software Engineering Shenzhen University Shenzhen China

This work proposes a novel three-layer federated learning (FL) framework with parameter selection and pre-synchronization (PSPFL) to achieve fast and accurate model training. The basic idea of PSPFL is that clients select partial model parameters for transmission and then base stations aggregate them cooperatively (i.e., pre-synchronization) and send the aggregated results to the server for global model update periodically. However, there is an intrinsic trade-off between parameter transmission overhead and model training loss. To strike a desirable balance between them, we investigate the optimal parameter pre-synchronization round and local training round under PSPFL. Specifically, we propose a Deep Q-Network (DQN)-based method to obtain the local training round and parameter pre-synchronization round. Finally, extensive experiments are conducted to evaluate the performance of the proposed method on commonly used datasets. The results show that the proposed method can reduce the sum of FL completion time and training loss by an average of 8.17%-18.82% compared to benchmarks.

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Smart Farmer Education System for Disease Identification, Severity Assessment and Infestation Management (Brinjal)

Smart Farmer Education System for Disease Identification, Se...

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International Conference on Industrial and information systems, ICIIS

作者： Keshara Bandara Samitha Vidhanaarachchi A.A.E. Nanayakkara Kavindu Kulasinghe Sanka Rajapakshe Asela Wickramasinghe Kanishka Yapa Department Of Information Technology Sri Lanka Institute Of Information Technology Malabe Sri Lanka Department Of Computer Science and software Engineering Sri Lanka Institute Of Information Technology Malabe Sri Lanka Department of Soil Science Faculty of Agriculture University of Ruhuna Mapalana Kamburupitiya Sri Lanka Department of Computer Systems Engineering Sri Lanka Institute Of Information Technology Malabe Sri Lanka

The agriculture industry is one of the most significant sources of foreign exchange and employment in the Sri Lankan market. Therefore, small crops play a crucial role in ensuring the food security of the population as they are integral components of Sri Lankan cuisine. However, industry experts have identified inefficient disease and pest management as a hindrance to production. This issue requires immediate attention and proper action, which can be effectively addressed through the utilization of ICT technologies. Consequently, this research paper proposes a smart system that aims to assist farmers and agriculture professionals by providing them with farmer education, disease and infestation management tools, as well as progression level calculations. The implementation of this system aims to uplift the agriculture industry in Sri Lanka. The developed ‘AI-based mobile application system for Brinjal Diseases,’ which is based on analyzing the eating patterns of leafhopper damage, presents an innovative approach to identify the most significant threats to Brinjal, specifically focusing on leafhopper damage. This proposed system effectively informs various stakeholders, including the Area Agricultural Research Officer, Seed Certification and Plant Protection Center (SCPPC), Agricultural Service Center, Office of the Register of Pesticides (ROP), Plant Protection Service (PPS), as well as farmers, regarding the dispersion and prevention of brinjal diseases and pest infections.

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An OpenCV-based Framework for Table information Extraction

An OpenCV-based Framework for Table Information Extraction

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IEEE International Conference on Big Knowledge (ICBK)

作者： Jiayi Yuan Hongye Li Meng Wang Ruyang Liu Chuanyou Li Beilun Wang College of Software Engineering Southeast University Nanjing China MOE Key Laboratory of Computer Network and Information Integration China Chien-Shiung Wu College Southeast University Nanjing China

ISBN: (数字)9781728181561

ISBN: (纸本)9781728181578

Portable Document Format (PDF), as one of the most popular file format, is especially useful for educational documents such as text books, articles, or papers in which we can preserve the original graphic appearance and conveniently share online. Detecting and extracting information from tables in PDF files can provide a plethora of structural data to construct educational knowledge graphs. However, most of the existing methods rely on PDF parsing tools and natural language processing techniques, which generally require training samples and are frail in handling cross-page tables. In light of this, in this paper, we propose a novel OpenCV-based framework to extract the metadata and specific values from PDF tables. Specifically, we first highlight the visual outline of the tables. Then, we locate tables using horizontal and vertical lines and get the coordinates of tabular frames in each PDF page. Once the tables are successfully detected, for each table, we detect the cross-page scenarios and use the Optical Character Recognition (OCR) engine to extract the specific values in each table cell. Differing from other machine learning based methods, the proposed method can achieve table information extraction accurately without labeled data. We conduct extensive experiments on real-world PDF files. The results demonstrate that our approach can effectively deal with cross-page tables and only need 6.12 seconds on average to process a table.

关键词： Portable document format Data mining Image color analysis information retrieval Tools Metadata Optical character recognition software

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An Adaptive Stable Link Selection Algorithm for Mobile Ad Hoc Networks

An Adaptive Stable Link Selection Algorithm for Mobile Ad Ho...

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ACIS International Conference on software engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD)

作者： Hui Zhang Yu-ning Dong State Key Laboratory for Novel Software Technology Nanjing University Nanjing China Jiangsu Provincial Key Laboratory of Computer Information Processing Technology Suzhou University Suzhou China College of Communication and Information Engineering Nanjing University of Posts and Telecommunications Nanjing China

An adaptive strategy based stable link selection algorithm is proposed in this paper, in which the stable neighbor metric and local movement metric are defined. On the basis, the stability probability of each link is computed adoptively to find the most stable link or route in a route discovery. The simulation results show that our algorithm can effectively adapt to the network conditions, and outperforms the longevity factor based algorithm as well as the residual lifetime based algorithm in selecting stable links.

关键词： Mobile ad hoc networks Stability Clustering algorithms Data compression Global Positioning System Distributed computing software algorithms computer networks information processing Educational technology

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Eyou: An electronic map-based logistics service system

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Journal of Convergence information Technology 2012年第14期7卷 206-214页

作者： Liu, Pan Miao, Huaikou Chen, Jianjiao College of Computer Engineering and Science Shanghai Business School Fengpu Road FengXian District Shanghai 201400 China Shanghai Key Laboratory of Computer Software Testing and Evaluating Shanghai 200072 China School of Computer Engineering and Science Shanghai University 149 Yanchang Road 200072 Shanghai China School of Information Science and Engineering Xinjiang University Xinjiang China

The paper describes a project to develop an electronic map-based logistics service system (named as Eyou). It consists of several core components, including a unified portal for searching the goods delivery information from different logistic firms, an electronic map-based interface by encapsulating Baidu map API, and the decision support component for planning the routes of the delivery vehicles in a feasible and cost-effective way. In this article, we describe the website's features and functions, the website's system architecture, a novel shortest path algorithm with time constraint and a case study based on our algorithm. The aim of Eyou is to provide some small-size logistics firms, the online shop owners and the users with three services in the convenient or inexpensive way.

关键词： Websites

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Deep Neural Network Enhanced Chip-on-board Hybrid-Packaged Photonic-Electrical Silicon Transceiver for High-speed Optical Interconnects

Deep Neural Network Enhanced Chip-on-board Hybrid-Packaged P...

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CLEO: Science and Innovations in CLEO 2024, CLEO: S and I 2024 - Part of Conference on Lasers and Electro-Optics

作者： Qin, Jun Yang, Qipeng Han, Changhao Zhou, Yan Zhang, Yunhao Wu, Yichen Sun, Yu Lu, Junde Liu, Siming Li, Yueqin Sun, Jian Min, Miao Hu, Weiwei He, Zhixue Wang, Lei Yu, Shaohua Shu, Haowen Wang, Xingjun Key Laboratory of the Ministry of Education for Optoelectronic Measurement Technology and Instrument Beijing Information Science and Technology University Beijing100192 China State Key Laboratory of Advanced Optical Communication Systems and Networks School of Electronics Peking University Beijing100871 China Department of Electrical and Computer Engineering University of California Santa BarbaraCA93106 United States Peking University Yangtze Delta Institute of Optoelectronics Nantong226010 China Peng Cheng Laboratory Shenzhen518055 China State Key Laboratory of Information Photonics and Optical Communications BUPT Beijing100876 China

We explore implementing a multilevel deep neural network to enhance the performance of a 4-channel photonic-electrical hybrid-packaged silicon transceiver. Stable transmission and reception of 150 Gbps/λ PAM4 signals... 详细信息

关键词： Optical interconnects

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WISENT: d-science for energy meteorology

WISENT: d-science for energy meteorology

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e-Science 2006 - 2nd IEEE International Conference on e-Science and Grid Computing

作者： Hasselbring, Wilhelm Heinemann, Detlev Hurka, Johannes Scheidsteger, Thomas Bischofs, Ludger Mayer, Christoph Ploski, Jan Scherp, Guido Lohmann, Sina Hoyer-Klick, Carsten Erbertseder, Thilo Gesell, Gerhard Schroedter-Homscheidt, Marion Heilscher, Gerd Rehwinkel, Jochen Rensberg, Stefan Software Engineering Group Dept. of Computer Science University of Oldenburg D-26111 Oldenburg Germany EHF Laboratory Dept. of Physics University of Oldenburg D-26111 Oldenburg Germany Business Information Management OFFIS - Institute for Computer Science D-26121 Oldenburg Germany D-82234 Wessling Germany D-70569 Stuttgart Germany D-82234 Weling Germany Meteocontrol GmbH 86157 Augsburg Germany

ISBN: (纸本)0769527345

Our energy production increasingly depends on renewable energy sources, which impose new challenges for distributed and decentralized systems. One problem is that the availability of renewable energy sources such as wind and solar is not continuous as it is affected by meteorological factors. The challenge is to develop forecast methods capable of determining the level of power generation in near real-time in order to control power plants for optimal energy production. Another scenario is the identification of optimal locations for such power plants. In our collabora tive project, these tasks are investigated in the domain of energy meteorology. For that purpose large data sources from many different sensors (e.g., satellites and ground stations) are the base for complex computations. The idea is to parallelize these computations in order to obtain significant speedup. This paper reports on an ongoing project employing Grid technologies in that context. Our approach to processing large data sets from a variety of heterogeneous data sources as well as ideas for parallel and distributed computing in energy meteorology are presented. Preliminary experience with several Grid middleware systems in our application scenario is discussed. © 2006 IEEE.

关键词： Renewable energy resources

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Strong Security Enabled Certificateless Aggregate Signatures Applicable to Mobile Computation

Strong Security Enabled Certificateless Aggregate Signatures...

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International Conference on Intelligent Networking and Collaborative systems (INCOS)

作者： Hu Xiong Qianhong Wu Zhong Chen Key Laboratory of Network and Software Security Assurance of the Ministry of Education Institute of Software School of Electronics Engineering and Computer Science Peking University Beijing China Department of Computer Engineering and Mathematics UNESCO Chair in Data Pr Universitat Rovira i Virgili Tarragona Spain Key Laboratory of AeroSpace Information Security and Trusted Computing Ministry of Education School of Computer Wuhan University of China China

An aggregate signature scheme allows a public algorithm to aggregate n signatures of n distinct messages from n signers into a single signature. By validating the single resulting signature, one can be convinced that the messages have been endorsed by all the signers. Certificateless aggregate signatures allow the signers to authenticate messages without suffering from the complex certificate management in the traditional public key cryptography or the key escrow problem in identity-based cryptography. In this paper, we present a new efficient certificate less aggregate signature scheme. Compared with up-to-date certificate less aggregate signatures, our scheme is equipped with a number of attracting features: (1) it is shown to be secure under the standard computational Diffie-Hellman assumption in the random oracle model, (2) the security is proven in the strongest security model so far, (3) the signers do not need to be synchronized, and (4) its performance is comparable to the most efficient up-to-date schemes. These features are desirable in a mobile networking and computing environment where the storage/computation capacity of the end devices are limited, and due to the wireless connection and distributed feature, the computing devices are easy to be attacked and hard to be synchronized.

关键词： Aggregates Games Generators Synchronization Public key cryptography

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