摘要：
In this paper, we use Genetic Algorithm to do the embedded system hardware-software co-design. The result indicates that the Genetic Algorithm can solve the problem of embedded system hardware-software co-design. An important task of embedded system design is to find an effective way of hardware-software implement. Since Genetic Algorithm is a very effective way to solve combination optimization problem, we use Genetic Algorithm to realize hardware-software partitioning. In order to satisfy the market factor of embedded system, this approach uses cost/performance ratio to balance the performance and the cost. We will give the model of the problem in this paper.
期刊：
2008 IEEE INTERNATIONAL CONFERENCE ON GRANULAR COMPUTING, VOLS 1 AND 2,2008年:178-182
通讯作者：
Dai, Shangping
作者机构：
[Dai, Shangping; Wang, Pingping; Gao, Li; Zheng, Shijue] Huazhong Normal Univ, Dept Comp Sci, Wuhan 430079, Peoples R China.
通讯机构：
[Dai, Shangping] H;Huazhong Normal Univ, Dept Comp Sci, Wuhan 430079, Peoples R China.
会议名称：
The 2008 IEEE International Conference on Granular Computing, GrC 2008, Hangzhou, China, 26-28 August 2008
摘要：
One important critical issue in wireless sensor networks is how to gather sensed information in an energy efficient way since the energy is a scarce resource in a sensor node. Clustering technique has been proven to be an effective approach for data-gathering in wireless sensor networks. However, these data are characteristic of being heavily noisy, exhibiting temporal and spatial correlation. Data mining is a process in which a wide spectrum of data analysis methods is used. In order to extract useful information from such data, in this paper, we propose a novel cluster formation algorithm, which is called ACE-C algorithm according to mining sensor nodes. Compared to the ILP algorithm, the proposed algorithm increase the cluster head election mechanism, and the simulation results show that ACE-CILP algorithm achieves its intention of consuming less energy, equalizing the energy consumption of all the nodes, as well as extending the network lifetime perfectly.
期刊：
2008 FOURTH INTERNATIONAL CONFERENCE ON INTELLIGENT INFORMATION HIDING AND MULTIMEDIA SIGNAL PROCESSING, PROCEEDINGS,2008年:500-503
通讯作者：
Li, Kai
作者机构：
[Li, Kai; Chen, Xiaoyan; Zheng, Zhenhua; Zheng, Shijue] Huazhong Normal Univ, Dept Comp Sci, Wuhan 430079, Peoples R China.
通讯机构：
[Li, Kai] H;Huazhong Normal Univ, Dept Comp Sci, Wuhan 430079, Peoples R China.
摘要：
As a kind of brand-new information acquisition and the processing technology, the wireless sensor network has great significance in application and scientific research in many fields. But the node localization information plays a key role in the application of wireless sensor network. In view of the present situation that the two-dimensional plane node localization algorithm is difficult to be practiced in the three-dimensional space, three-dimensional localization algorithm (TDLA) has been proposed in this paper. Simulations indicate that TDLA can carry out localization on sensor node in the three-dimensional space effectively and turns to be one kind of localization methods which can be applicable.
期刊：
The Journal of Information and Computational Science,2008年5(4):1805-1812 ISSN：1548-7741
通讯作者：
Liu, M.(lium@mail.ccnu.edu.cn)
作者机构：
[Zheng, Shijue; Ye, Juan] Department of Computer Science, Central China Normal University, Wuhan 430079, China;[Liu, Ming] Digital Engineering Research Center, Huazhong University of Science and Technology, Wuhan 430074, China
通讯机构：
Department of Computer Science, Central China Normal University, China
期刊：
DCABES 2008 PROCEEDINGS, VOLS I AND II,2008年:1028-1032
通讯作者：
Pei, Yanli
作者机构：
[Pei, Yanli; Zheng, Shijue] Cent China Normal Univ, Dept Comp Sci, Wuhan 430079, Hubei, Peoples R China.
通讯机构：
[Pei, Yanli] C;Cent China Normal Univ, Dept Comp Sci, Wuhan 430079, Hubei, Peoples R China.
会议名称：
2008年国际电子商务、工程及科学领域的分布式计算和应用学术研讨会(2008 International Symposium on Distributed Computing and Applications for Business Engineering and Science)
会议时间：
2008-07-27
会议地点：
大连
会议论文集名称：
2008年国际电子商务、工程及科学领域的分布式计算和应用学术研讨会(2008 International Symposium on Distributed Computing and Applications for Business Engineering and Science)论文集
关键词：
Mobile Ad-hoc Networks;Secure Routing Protocol;Elevated Trust-based Routing Protocol;Trust-level model;Judge Rules and Trust-level Evaluation
摘要：
Since mobile ad-hoc networks always applies in those situations such as emergencies, crisis management, military and healthcare, so message security is of paramount importance in it. However, because of the absence of a fixed infrastructure with designated centralized access points, implementation of hard-cryptographic security is a challenging prospect. In this paper, we propose a novel method of message security using elevated trust-based routing. Less trusted nodes are given lower number of self-encrypted parts of a message, making it difficult for malicious nodes to gain access to the minimum information required to break through the encryption strategy. Using trust levels, we make multi-path routing flexible enough to be usable in networks with 'vital' nodes and absence of necessary redundancy. In addition, using trust levels, we avoid non-trusted routes that may use brute force attacks and may decrypt messages if enough parts of the message are available to them. Simulation results, coupled with theoretical justification, affirm that the proposed solution is much more efficient than the traditional routing algorithms.
作者机构：
Department of Computer Science,Hua Zhong Normal University,Wuhan,Hubei,430079,China;Sanya Garrison,Sanya,Hainan,572011,China
会议名称：
2008年国际电子商务、工程及科学领域的分布式计算和应用学术研讨会(2008 International Symposium on Distributed Computing and Applications for Business Engineering and Science)
会议时间：
2008-07-27
会议地点：
大连
会议论文集名称：
2008年国际电子商务、工程及科学领域的分布式计算和应用学术研讨会(2008 International Symposium on Distributed Computing and Applications for Business Engineering and Science)论文集
关键词：
letter selection;GA;data mining;framework;self-adaptive
摘要：
We present the design of more effective and efficient genetic algorithm based data mining techniques that use the concepts of letter selection.Data mining involves nontrivial process of extracting knowledge or patterns from large databases.Genetic Algorithms are efficient and robust searching and optimization methods that are used in data mining.In this paper we propose a letter selection in genetic algorithm based data mining,Explicit letter selection is traditionally done as a wrapper approach where every candidate feature subset is evaluated by executing the data mining algorithm on that subset.In this article we present a GA for doing both the tasks of mining and letter selection simultaneously by evolving a binary code along side the chromosome structure used for evolving the rules.Results from applying the above techniques to a real world data mining problem show that combining both the letter selection methods provides the best performance in terms of prediction accuracy and computational efficiency.
摘要：
Advances in wireless sensor network (WSN) make mobile e-commerce transactions possible and give pace to the rapid development of mobile e-commerce. The primary goal of a WSN is to collect data, which are characteristic of being heavily noisy, exhibiting temporal and spatial correlation. In order to eliminate information redundancy and communication overhead, in this paper, we propose Association Rules mining based on Genetic algorithm for designing the distributed wireless sensor networks. The aim is to achieve anticipant request of coverage by laying as less sensors as possible. The simulation results indicate that our method is feasible and more efficient than the OPTIMUM-COV algorithm in designing the distributed sensor networks.
期刊：
DCABES 2008 PROCEEDINGS, VOLS I AND II,2008年:334-+
通讯作者：
Chen, Xiaoyan
作者机构：
[Chen, Xiaoyan; Zheng, Shijue] Hua Zhong Normal Univ, Dept Comp Sci, Wuhan 430079, Hubei, Peoples R China.;[Tao, Tao] Sanya Garrison, Sanya 572011, Hainan, Peoples R China.
通讯机构：
[Chen, Xiaoyan] H;Hua Zhong Normal Univ, Dept Comp Sci, Wuhan 430079, Hubei, Peoples R China.
关键词：
letter selection;GA;data mining;framework;self-adaptive
摘要：
We present the design of more effective and efficient genetic algorithm based data mining techniques that use the concepts of letter selection. Data mining involves nontrivial process of extracting knowledge or patterns from large databases. Genetic Algorithms are efficient and robust searching and optimization methods that are used in data mining. In this paper we propose a letter selection in genetic algorithm based data mining, Explicit letter selection is traditionally done as a,wrapper approach where every candidate feature subset is evaluated by executing the data mining algorithm on that subset. In this article we present a GA for doing both the tasks of mining and letter selection simultaneously by evolving a binary code along side the chromosome structure used for evolving the rules. Results from applying the above techniques to a real world data mining problem show that combining both the letter selection methods provides the best performance in terms of prediction accuracy and computational efficiency.
期刊：
DCABES 2008 PROCEEDINGS, VOLS I AND II,2008年:1007-1011
通讯作者：
Zheng, Shijue
作者机构：
[Chen, Xiaoyan; Zheng, Shijue] Huazhong Normal Univ, Dept Comp Sci, Wuhan 430079, Hubei, Peoples R China.
通讯机构：
[Zheng, Shijue] H;Huazhong Normal Univ, Dept Comp Sci, Wuhan 430079, Hubei, Peoples R China.
会议名称：
2008年国际电子商务、工程及科学领域的分布式计算和应用学术研讨会(2008 International Symposium on Distributed Computing and Applications for Business Engineering and Science)
会议时间：
2008-07-27
会议地点：
大连
会议论文集名称：
2008年国际电子商务、工程及科学领域的分布式计算和应用学术研讨会(2008 International Symposium on Distributed Computing and Applications for Business Engineering and Science)论文集
关键词：
M-learning;3G technology;mobile telephone learning;study mod
摘要：
3G stands for third generation, and is a wireless industry term for a collection of international standards and technologies aimed at increasing efficiency and improving the performance of mobile wireless networks. 3G wireless services offer enhancements to current applications, including greater data speeds, increased capacity for voice and data and the advent of packet data networks versus today's switched networks. With 3 G times arrival, Mobile phone study has accepted by people more and more The paper introduce mobile learning(M-learning) and prove-the feasibility of mobile telephone learning, advancing to combine 3G and mobile telephone in order to achieve a better study approach.
期刊：
2008 INTERNATIONAL CONFERENCE ON COMMUNICATIONS, CIRCUITS AND SYSTEMS PROCEEDINGS, VOLS 1 AND 2: VOL 1: COMMUNICATION THEORY AND SYSTEM,2008年:135-139
通讯作者：
Yi, Chen
作者机构：
[Shijue, Zheng; Yi, Chen; Rong, Li] Cent China Normal Univ, Dept Comp Sci, Wuhan, Peoples R China.;[Ge, Gao] Wuhan Univ, Natl Engn Res Ctr Multimedia Software, Wuhan, Peoples R China.
通讯机构：
[Yi, Chen] C;Cent China Normal Univ, Dept Comp Sci, Wuhan, Peoples R China.
摘要：
This paper proposes a predictive controller based on adaptive resource management techniques for multi-service wireless cellular networks to keep the handoff failure rate (HFR) below a target value regardless of the traffic dynamics and bandwidth requirements of the service types. In this paper, we propose a modified feedback algorithm to control the reserved resource. Simulations results indicate that this algorithm can maintain target HFR for any service type even when the traffic load rapidly fluctuates and system parameters vary over a wide range. This algorithm has superior performance in terms of total carried traffic.
摘要：
Wireless sensor network is a hot research topic in both home and abroad. Placement of sensor nodes is important in wireless sensor networks, optimize sensor node or not which relate to the life of the network. In order to increase the degree of coverage of sensor region, the paper advance quantum genetic algorithm, this algorithm use quantum bit to denote chromosome, use quantum rotation door and quantum NOT door to occur chromosome renewal, thereby optimizing the solution for the target problems. Theory and simulation results indicate, this is a feasible placement of sensor nodes.
期刊：
IC-BNMT 2007: Proceedings of 2007 International Conference on Broadband Network & Multimedia Technology,2007年:178-182
通讯作者：
Zheng, Shijue
作者机构：
[Pei, Yanli; Zheng, Shijue] Cent China Normal Univ, Dept Comp Sci, Wuhan 430079, Hubei, Peoples R China.;[Zheng, Shijue] Cent China Normal Univ, Dept Comp Sci, 152 Luoyu Rd, Wuhan 430079, Hubei, Peoples R China.
通讯机构：
[Zheng, Shijue] C;Cent China Normal Univ, Dept Comp Sci, 152 Luoyu Rd, Wuhan 430079, Hubei, Peoples R China.
会议名称：
2007宽带网络与多媒体技术国际会议
会议时间：
2007-09-19
会议地点：
北京
会议论文集名称：
2007宽带网络与多媒体技术国际会议论文集
关键词：
Exposed terminal;frequency division multiple access (FDMA);hidden terminal;mobile ad hoc networks (MANETs).
摘要：
Mobile ad hoc networks Routing protocol is the key to improve the network throughput and decrease the time delay. It is a hot topic at present. The paper, advanced a routing improvement method which based on frequency division multiple access (FDMA). Then discussed the use of the collision mechanism to solve the routing invalid notice. An analysis of this solution is followed to show its advantages in enhancing the capacity of overall networks and delays. The results showed optimization method of making full use of frequency resources and increasing system capacity with excellent performance.
期刊：
Advanced Computer Technology, New Education, Proceedings,2007年:1210-1212
通讯作者：
Gao Li
作者机构：
[Gao Li; Su Ying; Zheng Shijue; Shu Wanneng] Huazhong Normal Univ, Dept Comp Sci, Wuhan 430079, Peoples R China.
通讯机构：
[Gao Li] H;Huazhong Normal Univ, Dept Comp Sci, Wuhan 430079, Peoples R China.
会议名称：
第二届国际计算机新科技与教育学术会议(Proceedings of the Second International Conference on Computer Science & Education ICCSE'2007)
会议时间：
2007-07-25
会议地点：
武汉
会议论文集名称：
第二届国际计算机新科技与教育学术会议
关键词：
data mining;genetic algorithm;association rules;distance education
摘要：
The development of data mining systems has received a great deal of attention in recent years. One of the challenges in developing data mining systems is to integrate and coordinate existing data mining applications in a seamless manner so that cost-effective systems can be developed without the need of costly proprietary products. The popularity of distance education has grown rapidly over the last decade in higher education, yet many fundamental teaching-learning issues are still in debate. This paper presents an approach for classifying students in order to predict their final grade based on features extracted from logged data in an education web-based system. In this paper we take advantage of the genetic algorithm (GA) designed specifically for discovering association rules. We propose a novel spatial mining algorithm, called ARMNGA(Association Rules Mining in Novel Genetic Algorithm), Compared to the algorithm in Reference[2], the ARMNGA algorithm avoids generating impossible candidates, and therefore is more efficient in terms of the execution time.
期刊：
2007 THIRD INTERNATIONAL CONFERENCE ON INTELLIGENT INFORMATION HIDING AND MULTIMEDIA SIGNAL PROCESSING, VOL II, PROCEEDINGS,2007年2:309-312
通讯作者：
Zheng, Shijue
作者机构：
[Wu, Shiqian; Zheng, Shijue] Cent China Normal Univ, Dept Comp Sci, Wuhan, Peoples R China.
通讯机构：
[Zheng, Shijue] C;Cent China Normal Univ, Dept Comp Sci, Wuhan, Peoples R China.
会议名称：
3rd International Conference on Intelligent Information Hiding and Multimedia Signal Processing
会议时间：
NOV 26-28, 2007
会议地点：
Kaohsiung, TAIWAN
会议主办单位：
[Zheng, Shijue;Wu, Shiqian] Cent China Normal Univ, Dept Comp Sci, Wuhan, Peoples R China.
摘要：
The question of resource management and task scheduling are very complicated in CCNU-SZHDX-Grid computing environment, it is very difficult to test the rationality of resource management and equalization of task scheduling with a kind of specific network equipment in the net. This paper proposes a model for task scheduling on the basis of the net platform, the task scheduling adopts task scheduling genetic algorithm (TSGA), this model has given consideration to resources management and task scheduling, make the two reaching organic combination, and the experimental results are perfect.
通讯机构：
[Gao, Li] H;Hua Zhong Normal Univ, Dept Comp Sci, Wuhan 430079, Hubei, Peoples R China.
关键词：
data mining;genetic algorithm;association rules;multimedia;image databases
摘要：
Data mining technology has emerged as a means for identifying patterns and trends from large quantities of data. Mining encompasses various algorithms such as clustering, classification, and association rule mining. In this paper we take advantage of the genetic algorithm (GA) designed specifically for discovering association rules. We propose a novel spatial mining algorithm, called ARMNGA(Association Rules Mining in Novel Genetic Algorithm), Compared to the algorithm in Reference[2], the ARMNGA algorithm avoids generating impossible candidates, and therefore is more efficient in terms of the execution time.
期刊：
FOURTH INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY, VOL 3, PROCEEDINGS,2007年3:721-723
通讯作者：
Gao, Li
作者机构：
[Dai, Shangping; Gao, Li; Zheng, Shijue] Huazhong Normal Univ, Dept Comp Sci, Wuhan 430079, Peoples R China.;[Yan, Guanxiang] Wuhan Univ, Sch Informat Management, Wuhan 430072, Peoples R China.
通讯机构：
[Gao, Li] H;Huazhong Normal Univ, Dept Comp Sci, Wuhan 430079, Peoples R China.
摘要：
Data Mining is rapidly evolving areas of research that are at the intersection of several disciplines, including statistics, databases, pattern recognition, and high- performance and parallel computing. In this paper, we propose a novel mining algorithm, called ARMAGA (association rules mining algorithm based on a novel genetic algorithm), to mine the association rules from an image database, where every image is represented by the ARMAGA representation. We first take advantage of the genetic algorithm designed specifically for discovering association rules. Second we propose the algorithm compared to the algorithm in (Chen and Wei, 2002), and the ARMAGA algorithm avoids generating impossible candidates, and therefore is more efficient in terms of the execution time.
