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Proceedings of the 2022 6th International Conference on Electronic Information Technology and Computer Engineering

作者： Jianqiang Pan Cheng Zhang Huihui Jia Anhui Provincial Key Laboratory of Multimodal Cognitive Computation School of Computer Science and Technology State Key Lab for Novel Software Technology Anhui University China

ISBN: (纸本)9781450397148

It gets more and more expensive to maintain the complete software system as time goes on since the software architecture grows more complicated and the software code is more difficult to understand. This issue may be solved by taking the essential parts out of the source code and organizing them into the appropriate subsystems. Hierarchy-based partitioning is more complex and less successful in solving issues with huge software modules. In order to do this, this work suggests an innovative artificial fish swarm method as a meta-heuristic to solve the software module clustering problems (SMCPs) and presents a mutation operator and a local search strategy to handle the premature situation. The performance of the suggested method is assessed on a range of real-world software systems by comparison to the most recent meta-heuristic methods. The outcomes of the experiments demonstrate that the suggested methodology works better than those of other methods.

关键词： software refactoring Artificial fish swarm algorithm software module clustering

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Evolutionary clustering with differential evolution

Evolutionary clustering with differential evolution

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Congress on Evolutionary computation

作者： Gang Chen Wenjian Luo Tao Zhu Anhui Province key Laboratory of Software Engineering in Computing and Communication University of Science and Technology of China Hefei Anhui China

ISBN: (纸本)9781479914869

Evolutionary clustering is a hot research topic that clusters the time-stamped data and it is essential to some important applications such as data streams clustering and social network analysis. An evolutionary clustering should accurately reflect the current data at any time step while simultaneously not deviate too drastically from the recent past. In this paper, the differential evolution (DE) is applied to deal with the evolutionary clustering problem. Comparing with the typical k-means, evolutionary clustering based on DE (deEC) could perform a global search in the solution space. Experimental results over synthetic and real-world data sets demonstrate that the deEC provides robust and adaptive solutions.

关键词： Clustering algorithms History Vectors Evolutionary computation Equations Sociology Statistics

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Grasping and folding knots

Grasping and folding knots

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IEEE International Conference on Robotics and Automation

作者： Weifu Wang Devin Balkcom Anhui Province Key Laboratory of Software Engineering in Computing and Communication University of Science and Technology of China Hefei Anhui China

ISBN: (纸本)9781467380270

String stretched tightly along a sequence of fixed grasp points takes the shape of a polygonal arc. In this work, we investigate how many points are necessary and sufficient to grasp and tie arbitrary knots while maintaining tension, so that the string remains polygonal. This approach allows reasoning that is entirely geometric, which does not rely on potentially inaccurate dynamic models of the string or detailed knowledge of physical characteristics of the string. Algorithms are proposed to determine the contact locations, and generate the motions needed to tie arbitrary knots. This work shows that a number of grasp points that is linear in the number of crossings in a knot diagram is sufficient to immobilize string in a polygonal shape with the topology of an arbitrary knot, or to fold or unfold the knot from a straight configuration.

关键词： Grasping folding knots

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Differential evolution with a species-based repair strategy for constrained optimization

Differential evolution with a species-based repair strategy ...

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Congress on Evolutionary computation

作者： Chenyang Bu Wenjian Luo Tao Zhu Anhui Province Key Laboratory of Software Engineering in Computing and Communication University of Science and Technology of China Hefei Anhui China

ISBN: (纸本)9781479914869

Evolutionary Algorithms (EAs) with gradient-based repair, which utilize the gradient information of the constraints set, have been proved to be effective. It is known that it would be time-consuming if all infeasible individuals are repaired. Therefore, so far the infeasible individuals to be repaired are randomly selected from the population and the strategy of choosing individuals to be repaired has not been studied yet. In this paper, the Species-based Repair Strategy (SRS) is proposed to select representative infeasible individuals instead of the random selection for gradient-based repair. The proposed SRS strategy has been applied to εDEag which repairs the random selected individuals using the gradient-based repair. The new algorithm is named SRS-εDEag. Experimental results show that SRS-εDEag outperforms εDEag in most benchmarks. Meanwhile, the number of repaired individuals is reduced markedly.

关键词： Maintenance engineering Sociology Statistics Vectors Equations Clustering algorithms Mathematical model

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An improved genetic algorithm for dynamic shortest path problems

An improved genetic algorithm for dynamic shortest path prob...

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Congress on Evolutionary computation

作者： Xuezhi Zhu Wenjian Luo Tao Zhu Anhui Province key Laboratory of Software Engineering in Computing and Communication University of Science and Technology of China Hefei Anhui China

The Shortest Path (SP) problems are conventional combinatorial optimization problems. There are many deterministic algorithms for solving the shortest path problems in static topologies. However, in dynamic topologies, these deterministic algorithms are not efficient due to the necessity of restart. In this paper, an improved Genetic Algorithm (GA) with four local search operators for Dynamic Shortest Path (DSP) problems is proposed. The local search operators are inspired by Dijkstra's Algorithm and carried out when the topology changes to generate local shortest path trees, which are used to promote the performance of the individuals in the population. The experimental results show that the proposed algorithm could obtain the solutions which adapt to new environments rapidly and produce high-quality solutions after environmental changes.

关键词： Sociology Statistics Heuristic algorithms Topology Algorithm design and analysis Digital signal processing Biological cells

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Recent Advances in Clonal Selection Algorithms and Applications

Recent Advances in Clonal Selection Algorithms and Applicati...

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IEEE Symposium Series on computational Intelligence

作者： Wenjian Luo Xin Lin Anhui Province Key Laboratory of Software Engineering in Computing and Communication University of Science and Technology of China Hefei Anhui China

Clonal selection algorithms (CSAs) are a kind of Artificial Immune Algorithms (AIAs). In this paper, recent advances in clonal selection algorithms are summarized and reviewed. First, the basic framework of clonal selection algorithms is given. Second, various types of applications using clonal selection algorithms are summarized, including global optimization, constrained optimization, combinatorial optimization, multiobjective optimization, dynamic optimization and other applications. Last, a brief conclusion and some remarks about clonal selection algorithms are given.

关键词： Immune computation Clonal Selection Algorithms Optimization

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Cooperative communications in 5G point-to-multipoint systems for Smart Grid communications 7

Cooperative communications in 5G point-to-multipoint systems...

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7th International Conference on Information Science and Control Engineering, ICISCE 2020

作者： Yu, Hao Jin, Xin Li, Zhenwei Dong, Yawen Yang, Yang Liu, Zhengyuan Yin, Menjun State Grid Anhui Power Co. LTD. Information and Communication Branch State Grid Information Telecommunication Group Anhui Jiyuan Software Co. Ltd China Beijing University of Posts and Telecommunications The State Key Laboratory of Networking and Switching Technology China

ISBN: (纸本)9781728164069

With the development of wireless communication network, 5G H-CRAN network has gradually become the focus of research. The increasing demands for mobile data multimedia services and high bandwidth multimedia services require the network to provide efficient multicast services in smart grid communications. The multicast effect is mainly determined by the worst users of QoS in all multicast users, which are clustered at the edge of the cell. Therefore, there is a need to find ways to enhance the user experience in the edge area. In this paper, a 5G multicast enhancement scheme based on cooperative transmission is proposed, which can effectively enlarge the coverage of the network and improve the signal quality of edge users. We model and discuss the effect of cooperative transmission enhancement through different collaboration patterns. We define the system to ensure effective throughput metrics in the process of cooperative enhancement equalization. The simulation results show that cooperative mode selection of QoS is guaranteed in different systems. © 2020 IEEE.

关键词： Quality of service

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Linguistic Steganalysis Based on Meta Features and Immune Mechanism

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Chinese Journal of Electronics 2023年第4期19卷 661-666页

作者： Hao Yang Xianbin Cao Anhui Province Key Laboratory of Software in Computing and Communication School of Computer Science and Technology University of Science and Technology of China Hefei China

Linguistic steganalysis depends on efficient detection features due to the diversity of syntax and the polysemia of semantics in natural language processing. This paper presents a novel linguistics steganalysis approach based on meta features and immune clone mechanism. Firstly, meta features are used to represent texts. Then immune clone mechanism is exploited to select appropriate features so as to constitute effective detectors. Our approach employed meta features as detection features, which is an opposite view from the previous literatures. Moreover, the immune training process consists of two phases which can identify respectively two kinds of stego texts. The constituted detectors have the capable of blind steganalysis to a certain extent. Experiments show that the proposed approach gets better performance than typical existing methods, especially in detecting short texts. When sizes of texts are confined to 3kB, detection accuracies have exceeded 95%.

关键词： Training Integrated circuits Steganography Semantics Cloning Detectors Linguistics

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A Global-Energy-Balancing Real-Time Routing in Wireless Sensor Networks

A Global-Energy-Balancing Real-Time Routing in Wireless Sens...

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IEEE Asia-Pacific Conference on Services Computing (APSCC)

作者： Peilong Li Yu Gu Baohua Zhao Department of Computer Science Anhui Province Key Laboratory of Software in Computing and Communication University of Science and Technology Hefei Anhui China

Many applications in wireless sensor networks like video surveillance have the requirement of timely data delivery. Real-time routing is needed in these applications. Because of the limitation of node energy, energy efficiency is also an important concern in routing protocol design in order to increase the network lifetime. In this paper, we propose a global-energy-balancing routing scheme (GEBR) for real-time traffic based on directed diffusion (DD), which balances node energy utilization to increase the network lifetime. GEBR can find an optimal path in sensor networks for data transfer considering global energy balance and limited delivery delay. Simulation results show that GEBR significantly outperforms DD in uniform energy utilization. GEBR achieves better global energy balance and longer network lifetime. The time for real-time service of the sensor networks using GEBR is prolonged by about 4.37% and the network lifetime is prolonged by 44.6%.

关键词： Wireless sensor networks Routing protocols Delay Computer networks Energy efficiency Computer science Laboratories Wireless application protocol Global Positioning System Video surveillance

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A Secure Routing Protocol with Malicious Nodes Detecting and Diagnosing Mechanism for Wireless Sensor Networks

A Secure Routing Protocol with Malicious Nodes Detecting and...

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IEEE Asia-Pacific Conference on Services Computing (APSCC)

作者： Yuan-xi Jiang Bao-hua Zhao Department of Computer Science Anhui Province Key Laboratory of software in Computing and Communication University of Science and Technology Hefei Anhui China

Routing protocol security is the key element in the research of secure wireless sensor networks. Due to its special characteristic, designing security routing protocol is a challenge in these networks. A secure routing protocol with malicious nodes detecting and diagnosing mechanism is used to reduce the malicious nodes' threat to the WSNs.

关键词： Routing protocols Wireless sensor networks Data security Monitoring communication system security Computer networks Sensor phenomena and characterization Cryptography Relays Resumes

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