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A Decode-and-Forward Scheme for LDPC Coded Three-Way Relay Fading Channels

China Communications 2015年第8期12卷 46-54页

作者： YE Xia GAO Feifei Department of Computer Science & Information Management Wenzhou Medical University Department of Automation Tsinghua University State Key Lab of Intelligent Technologies and Systems Tsinghua National Laboratory for Information Science and Technology (TNList)

In this paper a low-density pairwise check(LDPC) coded three-way relay system is considered, where three user nodes desire to exchange messages with the help of one relay node. Since physical-layer network coding is applied, two time slots are sufficient for one round information exchange. In this paper, we present a decode-and-forward(DF) scheme based on joint LDPC decoding for three-way relay channels, where relay decoder partially decodes the network code rather than fully decodes all the user messages. Simulation results show that the new DF scheme considerably outperforms other common schemes in three-way relay fading channels.

关键词： three-way relay channel physicallayer network coding LDPC codes decode-and forward

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A Multi-Channel Salience Based Detail Exaggeration Technique for 3D Relief Surfaces

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Journal of computer science & technology 2012年第6期27卷 1100-1109页

作者：缪永伟冯结青王金荣 Renato Pajarola College of Computer Science and Technology Zhejiang University of Technology State Key Lab of CAD & CG Zhejiang University Department of Informatics University of Zürich

Visual saliency can always persuade the viewer＇s visual attention to fine-scale mesostructure of 3D complex shapes. Owing to the multi-channel salience measure and salience-domain shape modeling technique, a novel visual saliency based shape depiction scheme is presented to exaggerate salient geometric details of the underlying relief surface. Our multi-channel salience measure is calculated by combining three feature maps, i.e., the 0-order feature map of local height distribution, the l-order feature map of normal difference, and the 2-order feature map of mean curvature variation. The original relief surface is firstly manipulated by a salience-domain enhancement function, and the detail exaggeration surface can then be obtained by adjusting the surface normals of the original surface as the corresponding final normals of the manipulated surface. The advantage of our detail exaggeration technique is that it can adaptively alter the shading of the original shape to reveal visually salient features whilst keeping the desired appearance unimpaired. The experimental results demonstrate that our non-photorealistic shading scheme can enhance the surface mesostructure effectively and thus improving the shape depiction of the relief surfaces.

关键词： nmlti-channel salience salience-domain shape modeling detail exaggeration shape depiction relief surface

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Disjoint-Path and Golden-Pin Based Irregular PCB Routing with Complex Constraints 23

Disjoint-Path and Golden-Pin Based Irregular PCB Routing wit...

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Proceedings of the 60th Annual ACM/IEEE Design Automation Conference

作者： Qinghai Liu Qinfei Tang Jiarui Chen Chuandong Chen Ziran Zhu Huan He Jianli Chen Yao-Wen Chang Center for Discrete Mathematics Fuzhou University Fuzhou China and Fujian Science & Technology Innovation Laboratory for Optoelectronic Information of China Fuzhou China Center for Discrete Mathematics Fuzhou University Fuzhou China College of Computer and Date Science Fuzhou University Fuzhou China Department of Microelectronics Fuzhou University Fuzhou China Department of Microelectronics Southeast University Nanjing China Hangzhou Huawei Enterprises Telecommunication Technologies Co. Ltd Hangzhou China State Key Lab of ASIC & System Fudan University Shanghai China Graduate Institute of Electronics Engineering National Taiwan University Taipei Taiwan and Department of Electrical Engineering National Taiwan University Taipei Taiwan

ISBN: (纸本)9798350323481

PCB routing becomes time-consuming as the complexity of PCB design increases. Unlike traditional schemes that treat the two essential PCB routing processes separately, namely, escape and bus routing, we consider the continuity between them and present a golden-pin-based routing scheme to find the desired solution with angle and topology constraints. Further, conventional rip-up and reroute methods are often ineffective and inefficient for congestion alleviation and routability optimization. We construct a component graph by modeling components as vertices and applying the minimum weight vertex covering method to improve the routability. A self-adaptable ordering method is presented for escape routing to arrange the pin order on the component boundary, guaranteeing successful bus routing. In addition, escape routing is performed based on a disjoint path method. We construct a dynamic Hanan grid in bus routing and utilize a novel congestion adjustment technique to improve solution quality. Compared with FreeRouting and Allegro, the experiment results show that our algorithm achieves high routability and a significant 90% runtime reduction.

关键词： escape routing

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On-demand content delivery grid

On-demand content delivery grid

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5th International Conference on Information technology and Applications, ICITA 2008

作者： Luk, Vincent Wing-Hei Chan, Jacky Ng, Kam-Wing Wong, Albert Kai-Sun Department of Electronic and Computer Engineering Hong Kong University of Science and Technology Hong Kong Programming Practices Laboratory Department of Computer Science and Engineering Chinese University of Hong Kong Hong Kong Department of Computer Science and Engineering Chinese University of Hong Kong Hong Kong

ISBN: (纸本)9780980326727

In this paper, we propose an On-Demand Content Delivery Grid system that supplements the traditional content delivery network to deal with problems such as the huge influx of network traffic in a short period of time and the high cost in renting a fixed number of servers. We present its system architecture and describe its implementation in details. An experimental high-definition movie streaming site was setup using our content delivery grid system to demonstrate its capabilities with performance analysis.

关键词： Grid computing

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Optimizing Steering Angle Predictive Convolutional Neural Network for Autonomous Car

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computers, Materials & Continua 2022年第5期71卷 2285-2302页

作者： Hajira Saleem Faisal Riaz Asadullah Shaikh Khairan Rajab Adel Rajab Muhammad Akram Mana Saleh Al Reshan Control Automotive and Robotics Lab Affiliated lab of National Center of Robotics and Automation(NCRA HEC Pakistan)and with the Department of Computer Science and Information TechnologyMirpur University of Science and Technology(MUST)Mirpur Azad Kashmir10250Pakistan College of Computer Science and Information System Najran UniversityNajran61441Saudi Arabia College of Computer Science and Engineering University of South FloridaTampa33620United States

Deep learning techniques,particularly convolutional neural networks(CNNs),have exhibited remarkable performance in solving visionrelated problems,especially in unpredictable,dynamic,and challenging *** autonomous vehicles,imitation-learning-based steering angle prediction is viable due to the visual imagery comprehension of *** this regard,globally,researchers are currently focusing on the architectural design and optimization of the hyperparameters of CNNs to achieve the best *** has proven the superiority of metaheuristic algorithms over the manual-tuning of ***,to the best of our knowledge,these techniques are yet to be applied to address the problem of imitationlearning-based steering angle ***,in this study,we examine the application of the bat algorithm and particle swarm optimization algorithm for the optimization of the CNN model and its hyperparameters,which are employed to solve the steering angle prediction *** validate the performance of each hyperparameters’set and architectural parameters’set,we utilized the Udacity steering angle dataset and obtained the best results at the following hyperparameter set:optimizer,Adagrad;learning rate,0.0052;and nonlinear activation function,exponential linear *** per our findings,we determined that the deep learning models show better results but require more training epochs and time as compared to shallower *** show the superiority of our approach in optimizing CNNs through metaheuristic algorithms as compared with the manual-tuning *** testing was also performed using the model trained with the optimal architecture,which we developed using our approach.

关键词： Bat algorithm convolutional neural network hyperparameters metaheuristic optimization algorithm steering angle prediction

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Classification of Phishing Email Using Word Embedding and Machine Learning Techniques

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Journal of Cyber Security and Mobility 2022年第3期11卷 279-320页

作者： Somesha, M. Pais, Alwyn R. Information Security Research Lab Department of Computer Science and Engineering National Institute of Technology karnataka Karnataka Surathkal575025 India

Email phishing is a cyber-attack, bringing substantial financial damage to corporate and commercial organizations. A phishing email is a special type of spamming, used to trick the user to disclose personal information to access his digital assets. Phishing attack is generally triggered by emailing links to spoofed websites that collect sensitive information. The APWG survey suggests that the existing countermeasures remain ineffective and insufficient for detecting phishing attacks. Hence there is a need for an efficient mechanism to detect phishing emails to provide better security against such attacks to the common user. The existing open-source data sets are limited in diversity, hence they do not capture the real picture of the attack. Hence there is a need for real-time input data set to design accurate email anti-phishing solutions. In the current work, it has been created a real-time in-house corpus of phishing and legitimate emails and proposed efficient techniques to detect phishing emails using a word embedding and machine learning algorithms. The proposed system uses only four email header-based heuristics for the classification of emails. The proposed word embedding cum machine learning framework comprises six word embedding techniques with five machine learning classifiers to evaluate the best performing combination. Among all six combinations, Random Forest consistently performed the best with FastText (CBOW) by achieving an accuracy of 99.50% with a false positive rate of 0.053%, TF-IDF achieved an accuracy of 99.39% with a false positive rate of 0.4% and Count Vectorizer achieved an accuracy of 99.18% with a false positive rate of 0.98% respectively for three datasets used. © 2022 River Publishers.

关键词： Embeddings

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Designing modularity architecture for multithread programming

Designing modularity architecture for multithread programmin...

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4th International Conference on Communications and Information technology, CIT'10

作者： Netinant, Paniti Computer Science Department Bangkok University Bangkok Thailand Concurrent Programming Research Group Illinois Institute of Technology Chicago IL United States

ISBN: (纸本)9789604742073

Multithreaded Object-Oriented programming in concurrency environment using object-oriented technology is a complex activity. Programmers need to be aware of issues unrelated to their domain of problem, and are often unprepared for the challenges of the concurrent object-oriented programming brings. The interaction of their components becomes more complex, and makes it difficult to validate the design and correctness of the implemented program. Supporting separation of concerns in the design and implementation of the multithreaded object-oriented programming can provide a number of benefits such as comprehension, reusability, extensibility and adaptability in both design and implementation. We have tackled this problem by adopting the technique of separation of concerns in multithreaded object-oriented programming. In this paper we demonstrate an Aspect-Oriented approach that can be used for multithreaded object-oriented programming. We also show how better the separation of concerns in components. Readers/Writers problem is demonstrated using an aspect-oriented approach. Our methodology, which is based on aspect-oriented techniques as well as language and architecture independence, is an aspect-oriented framework.

关键词： Reusability

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Dipper Throated Optimization for Detecting Black-Hole Attacks inMANETs

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computers, Materials & Continua 2023年第1期74卷 1905-1921页

作者： Reem Alkanhel El-Sayed M.El-kenawy Abdelaziz A.Abdelhamid Abdelhameed Ibrahim Mostafa Abotaleb Doaa Sami Khafaga Department of Information Technology College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Communications and Electronics Delta Higher Institute of Engineering and TechnologyMansoura35111Egypt Faculty of Artificial Intelligence Delta University for Science and TechnologyMansoura35712Egypt Department of Computer Science Faculty of Computer and Information SciencesAin Shams UniversityCairo11566Egypt Department of Computer Science College of Computing and Information TechnologyShaqra University11961Saudi Arabia Computer Engineering and Control Systems Department Faculty of EngineeringMansoura UniversityMansoura35516Egypt Department of System Programming South Ural State UniversityChelyabinsk454080Russia Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia

In terms of security and privacy,mobile ad-hoc network(MANET)continues to be in demand for additional debate and *** more MANET applications become data-oriented,implementing a secure and reliable data transfer protocol becomes a major concern in the ***,MANET’s lack of infrastructure,unpredictable topology,and restricted resources,as well as the lack of a previously permitted trust relationship among connected nodes,contribute to the attack detection burden.A novel detection approach is presented in this paper to classify passive and active black-hole *** proposed approach is based on the dipper throated optimization(DTO)algorithm,which presents a plausible path out of multiple paths for statistics transmission to boost MANETs’quality of service.A group of selected packet features will then be weighed by the DTO-based multi-layer perceptron(DTO-MLP),and these features are collected from nodes using the Low Energy Adaptive Clustering Hierarchical(LEACH)clustering *** is a powerful classifier and the DTO weight optimization method has a significant impact on improving the classification process by strengthening the weights of key features while suppressing the weights ofminor *** hybridmethod is primarily designed to combat active black-hole *** the LEACH clustering phase,however,can also detect passive black-hole *** effect of mobility variation on detection error and routing overhead is explored and evaluated using the suggested *** diverse mobility situations,the results demonstrate up to 97%detection accuracy and faster execution ***,the suggested approach uses an adjustable threshold value to make a correct conclusion regarding whether a node is malicious or benign.

关键词： Black-hole attack mobile ad-hoc network optimization dipper throated optimization

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Generalized pigeon-inspired optimization algorithms

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science China(Information sciences) 2019年第7期62卷 120-130页

作者： Shi CHENG Xiujuan LEI Hui LU Yong ZHANG Yuhui SHI School of Computer Science Shaanxi Normal University School of Electronic and Information Engineering Beihang University School of Information and Electronic Engineering China University of Mining and TechnologyXuzhou Shenzhen Key Lab of Computational Intelligence Department of Computer Science and EngineeringSouthern University of Science and Technology

Dear editor,We propose a generalized pigeon-inspired optimization (GPIO) algorithm to enhance the exploitation ability of the original pigeon-inspired optimization (PIO) algorithm. Three variants of the PIO algorithms, including the original PIO,GPIO with ring structure (PIOr), and GPIO with ring structure and simplified landmark operator(PIOrs), are analyzed from a component-wise perspective. To analyze the property of various operators, experimental tests are performed on two

关键词： Generalized pigeon-inspired optimization algorithms

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An efficient non-transferable proxy re-encryption scheme 8th

An efficient non-transferable proxy re-encryption scheme

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8th International Conference on Applications and Techniques in Information Security, ATIS 2017

作者： Sharmila Deva Selvi, S. Paul, Arinjita Pandu Rangan, C. Theoretical Computer Science Lab Department of Computer Science and Engineering Indian Institute of Technology Madras Chennai India

ISBN: (纸本)9789811054204

Proxy re-encryption (PRE) allows re-encryption of a ciphertext for Alice (delegator) into a ciphertext for Bob (delegatee) via a semi-trusted proxy, who should not obtain the underlying plaintext. Alice generates a re-encryption key (re-key) for the proxy using which, the proxy transforms the ciphertexts. The basic notion of PRE provides security against the proxy from learning anything about the encrypted message given the re-encryption key. However, this is not sufficient in all situations as the proxy can collude with Bob and re-delegate Alice’s decryption rights. Hence, non-transferability is a desirable property in real-time scenarios wherein an illegal attempt to transfer Alice’s decryption rights exposes Bob’s private key as a penalty. In Pairing 2010, Wang et al. presented a CPA secure non-transferable Identity Based PRE scheme in the random oracle model. However, we show that the scheme violates the non-transferable property. Also, we present the first construction of a non-transferable unidirectional PRE scheme in the PKI setting using bilinear maps which meets CCA security under a variant of the decisional Diffie-Hellman hardness assumption in the random oracle model. © Springer Nature Singapore Pte Ltd. 2017.

关键词： Security of data

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