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Application of Multi-Sensors Information Fusion for Self-protection System of Robot Qiuhong Gao
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 3: March 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

This paper developed a kind of robot self-protection system using the multi-sensors information fusion technology. This system used five groups of photoelectric sensor and ultrasonic sensor which were installed in different direction of the robot. In this study, signals were gathered by using the complement of ranging of photoelectric sensor and ultrasonic sensor. Then the signals were sent to MCU to achieve multi-sensors information fusion.Core fusion technology was the adaptive weighted fusion estimation algorithm, which can make measurement data more accurate. With such technology, an accurate robot self-protection command was made as to avoid obstacles, to judge narrow highland and to prevent dropping. The experiment results validated its good self-protection function. DOI: http://dx.doi.org/10.11591/telkomnika.v11i3.2312
Cloud Computing Application of Personal Information's Security in Network Sales-channels Sun Qiong; Min Liu; Shiming Pang
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 12: December 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

With the promotion of Internet sales, the security of personal information to network users have become increasingly demanding. The existing network of sales channels has personal information security risks, vulnerable to hacker attacking. Taking full advantage of cloud security management strategy, cloud computing security management model is introduced to the network sale of personal information security applications, which is to solve the problem of information leakage. Then we proposed membership-based cloud service provided selection policy. By exploring the prospects of cloud computing in Internet sales, we try to solve the problem of the security of personal information in this channel. DOI: http://dx.doi.org/10.11591/telkomnika.v11i12.3619
Information Extraction from Research Papers based on Conditional Random Field Model Zhu Shuxin; Xie Zhonghong; Chen Yuehong
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 3: March 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

With the increasing use of CiteSeer academic search engines, the accuracy of such systems has become more and more important. The paper adopts the improved particle swarm optimization algorithm for training conditional random field model and applies it into the research papers’ title and citation retrieval. The improved particl swarm optimization algorithm  brings the particle swarm aggregation to prevent particle swarm from being plunged into local convergence too early, and uses the linear inertia factor and learning factor to update particle rate. It can control algorithm in infinite iteration by the iteration between particle relative position change rate. The results of which using the standard research papers’ heads and references to evaluate the trained conditional random field model shows that compared with traditionally conditional random field model and Hidden Markov Model, the conditional random field model ,optimized and trained by improved particle swarm, has been better ameliorated in the aspect of F1 mean error and word error rate. DOI: http://dx.doi.org/10.11591/telkomnika.v11i3.2188
Contribution to the Security of the Information System A. Ben Charke; M. Chabi; M. Fakir
Indonesian Journal of Electrical Engineering and Computer Science Vol 16, No 1: October 2015
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v16.i1.pp154-166

Abstract

Security of information systems has become a critical problem of companies. In this paper, the principles of security and the description of some attacks that threatening the information system are given. After Techniques of cryptography, digital signature to ensure the confidentiality, integrity and authentication of data, are described. Some security protocol such as Secure Shell (SSH), Secure Socket Layer (SSL), Internet Protocol SECure (IPSEC), in order to ensure the security of connection resources, are described. Intrusion detection is implemented using free IDS "SNORT" software.
Study on China’s Electronic Information Industrial Agglomeration and Regional Industrial Competitiveness Xuan Zhaohui; Wu Aizhi; Lv Yongbo
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 7: July 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

Spatial agglomeration and industrial competitiveness are currently two key issues in the study of China’s electronic information industrial development. Based on the data for 1995 - 2010, this paper establishes the indicator system to evaluate the competitiveness of regional electronic information industry. In this paper, location Gini coefficient and the indicator of concentration rate are applied to analyze the characteristics and historical evolution of China’s electronic information industrial agglomeration, while benchmarking analysis is also applied to evaluate the competitiveness of provincial regional electronic information industry. The correlation between industrial agglomeration and industrial competitiveness is analyzed in this study. There is a significant positive correlation between them at present. DOI: http://dx.doi.org/10.11591/telkomnika.v11i7.2854 
Based on Weighted Gauss-Newton Neural Network Algorithm for Uneven Forestry Information Text Classification Yu Chen; Liwei Xu
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 5: May 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

In order to deal with the problem of low categorization accuracy of minority class of the uneven forestry information text classification algorithm, this paper puts forward the uneven forestry information text classification algorithm based on weighted Gauss-Newton neural network, on the basis of weighted Gauss-Newton algorithm, the algorithm is proved via singular value decomposition principle. The experimental result shows that the algorithm has higher classification accuracy of majority class and minority class than algorithm of common classification. The algorithm expands a new method for the research on the uneven forestry information text classification algorithm. DOI : http://dx.doi.org/10.11591/telkomnika.v12i5.4388
Development and Application of University Information Service Chun Yu; YanXia Li; Fang Yuan; Qian Zhang; Xi Chen
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 5: May 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

The current situation and existing problems in university informationisation was given briefly, with object of university information service development. It proposed the method to develop information service, including both model design and technology realization on basis of main database. A system, which covers the core data resource of the university and implements one-stop information service has been designed and realized. Integrated with R-ABAC, Portal and dynamic reports, it provided comprehensive inquiry and statistical analysis service of all kinds of information for all the teachers, students and all levels of managerial staff, which applied in individual management, business management and decision making, which serves talents training, the basic task of universities. DOI : http://dx.doi.org/10.11591/telkomnika.v12i5.4948
An Efficient Approach and Procedure to Solve Customer Complaints Based on Combined Rasterization of Geography Information System Qiang Chen; Sheng Jie Chen; Wei Guo; Jin Li
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 9: September 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

To solve customer complaints better for some telecommunication enterprises, a new and efficient approach through combined rasterization of Geography Information System (GIS) is presented in this paper. By the combined rasterization of surface features and landforms, the historical customer complaints and the real-time running state of network will be utilized to handle new complaints simultaneously. Also, an innovative process to handle complaints is proposed, too. The utilization of method and process will shorten the time of processing routine customer complaints. The experimental results show that the efficiency to process customer complaints will be improved greatly and the operation expenditure on customer services for telecommunication operators will be also decreased than before. DOI: http://dx.doi.org/10.11591/telkomnika.v11i9.2279
The Research of Gray Algorithm and Information Entropy in Route Planning Optimization Ke Zhao
Indonesian Journal of Electrical Engineering and Computer Science Vol 10, No 8: December 2012
Publisher : Institute of Advanced Engineering and Science

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Abstract

In order to solve the Unmanned Aerial Vehicle (UAV) 3-d track planning problems, according to UAV flight are subject to different threats, UAV flight track was established optimal decision-making system, and the fuel consumption, radar threats, missile threats, anti-aircraft threats and atmosphere threats are determined as the evaluation index of objective function, and optimal mathematical model of UAV flight track is constructed. Experience evaluation method is often used to Weight calculation, but there is certain subjectivity .Therefore information entropy method is adopted to determine the Weights by the set of track plans. Grey incidence analysis method is applied to deal with the gray correlation information between the various indicators and to solve the model. Finally, the optimal model is used to scheme selection for flight track planning problem with four threat radar points, five missile threat points, six artillery threat points and four climate threat points to the threat point of flight track planning scheme options. And get the flight track with the best overall performance and Minimum Comprehensive cost, the research provides a theoretical basis for further studying the three-dimensional UAV flight track optimization. DOI: http://dx.doi.org/10.11591/telkomnika.v10i8.1635
DTN Routing Algorithm Based on Perceptions of Node Mobile Information Wang En; Yang YongJian; Chen Xi; Wu FangMing
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 8: August 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

Due to the high mobility of nodes in DTN, the topology is changing forever. On this base, putting forward an efficient routing protocol becomes a hot topic in this area. Focus on the moving character of nodes, putting forward a routing algorithm in DTN (BMI) based on perceptions of node mobile information. This algorithm improved from the classical routing protocol spray and wait. First, change the wait phase to active routing. Then consider the moving information of meeting nodes and purpose nodes, choose a node which has a higher possibility to meet the purpose node. Simulation results show that, this algorithm can significantly improve the delivery ratio and reduce the delay. DOI: http://dx.doi.org/10.11591/telkomnika.v11i8.3065

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