http://www.seipub.org/ie/RSS.aspxen-US2014-0<p class="abstract">A Large-Scale Distributed Federated Experimental Facility Offering Simulation Services for Next Generation Wireless Networks</p><ul><li>Pages 1-11</li><li>Author Georgios Kormentza</li><li>Abstract Efficient coordination and management of the radio resources in heterogeneous wireless networks is a key requirement for the realization of the next generation 5G wireless networks. In this context, experimental infrastruc-tures that allow for performance evaluation of inter-system optimization algorithms are of great value. The paper presents a distributed software platform that enables inter-system operations and interworking among geographically distributed clusters simulating different radio access technologies. The functionality of the key building blocks of this distributed virtual testbed is discussed together with the respective design and implementation details.</li></ul>http://www.seipub.org/ie/PaperInfo.aspx?ID=14511Information Engineeringhttp://www.seipub.org/ie/PaperInfo.aspx?ID=145112014-0<p class="abstract">Performance and Quality Evaluation of jQuery Javascript Framework</p><ul><li>Pages 12-22</li><li>Author Andreas B. GizasSotiris P. ChristodoulouTzanetos Pomoni</li><li>Abstract The scope of this work is to provide a thorough methodology for quality and performance evaluation of the most popular JavaScript framework, the jQuery Framework, by taking into account well established software quality factors and performance tests. The JavaScript programming language is widely used for web programming and increasingly, for general purpose of computing. Since the growth of its popularity and the beginning of web 2.0 era, many JavaScript frameworks have become available for programming rich client-side interactions in web applications. The jQuery project and its community serve today as a major part of web programmers. The main outcome of this work is to highlight the pros and cons of jQuery in various areas of interest and signify which and where the weak points of its code are.</li></ul>http://www.seipub.org/ie/PaperInfo.aspx?ID=8690Information Engineeringhttp://www.seipub.org/ie/PaperInfo.aspx?ID=86902014-0<p class="abstract">Application of Artificial Neural Networks in wave height prediction in the Persian Gulf</p><ul><li>Pages 23-26</li><li>Author F. HosseinibalamY. Dehgha</li><li>Abstract Accurate wave prediction and supplement is an important task in determining constructions and management of coastal structures. However, determination of wave characteristics is of particular importance. In the present study, the artificial intelligence methodology of neural networks is used to forecast the waves based on learning the characteristics of observed waves, rather than the use of the wind information. The measurements from a single station at Bushehr, North coast of the Persian Gulf, for the period July 2007 - August 2007 were used to train and to validate the employed neural networks. The results obtained show the feasibility of the neural wave characteristics forecasts for 1 and 2 h in terms of the correlation coefficient (0.78–0.9), root mean square error (.03-.07) and scatter index (0.2–0.4). Therefore, the proposed methodology could be successfully used for site-specific forecasts. It is shown that the data produced with the approach developed in this work have statistical properties very close to the properties of the measurements, thus proving that this approach can be used as a reliable tool for wind wave forecasting in coastal areas, complementary to spectral and numerical wave models.</li></ul>http://www.seipub.org/ie/PaperInfo.aspx?ID=15553Information Engineeringhttp://www.seipub.org/ie/PaperInfo.aspx?ID=155532014-0<p class="abstract">QoS-Based Web Services Composition using Water Flow-like Algorithm</p><ul><li>Pages 27-38</li><li>Author Mahyar TaheriBabak ShiraziHamed Fazlollahtaba</li><li>Abstract Web services composition is one of the most important issues in service oriented architectures. For responding to the majority of complicated business process, it might not have been just a single service, so several services must have been combined to reach a suitable one. Composite service will be generated by combining single web services. Each web service may have different implementations with similar functions, but something making it different from other similar services is the quality of service (QoS). In this study, QoS-based web service composition is considered and an architecture for automated web service composition is proposed. In this architecture, at first users enter their functional and non-functional requirements into the system by user interface, then a water flow-like algorithm (WFA) is developed for optimal composition of web services in order to indulge users requirements in a suitable time. Proposed approach is implemented and evaluated by C# language. The evaluation results have shown that the WFA outperforms Improved GA and simple GA when the number of abstract services is large.</li></ul>http://www.seipub.org/ie/PaperInfo.aspx?ID=15771Information Engineeringhttp://www.seipub.org/ie/PaperInfo.aspx?ID=157712014-0<p class="abstract">Modelling and mitigating Software Implementation Project Risks with Proposed Mining Technique</p><ul><li>Pages 39-48</li><li>Author Abdelrafe ElzamlyBurairah Hussi</li><li>Abstract The aim of this paper is to present new mining technique that uses the fuzzy multiple regression analysis modelling techniques to identify the risk management techniques that are effective in reducing the occurrence of each software implementation risks. Top ten software implementation risk factors and the best thirty risk management techniques were presented to respondents. As a result, we have shown that top ten software implementation risk factors can be reduced by risk management techniques according to mining techniques. This study will guide software managers to apply software risk management practices with real world software development organizations and verify the effectiveness of the new techniques and approaches on a software project. It is hoped that this will enable software managers improve their decision to increase the probability of software project success.</li></ul>http://www.seipub.org/ie/PaperInfo.aspx?ID=16062Information Engineeringhttp://www.seipub.org/ie/PaperInfo.aspx?ID=160622014-0<p class="abstract">A Simulation-based Approach to Acquire Information Security Baseline of Network Device</p><ul><li>Pages 49-52</li><li>Author Qi LiuZhan ShiXiao YuJie HuangYangjun XieZhe QinJuan Wan</li><li>Abstract Because of the rapid development of attack technology, the security problems of information assets are more serious. Security baseline monitoring and management is an important way to protect information assets. In this paper, we proposed an approach to acquiring information security baseline values of network devices through Secure Shell (SSH)/telnet simulation. Moreover, we implemented a security baseline acquisition system for network device based on the approach. Our approach can easily acquire the required security policy and properties of network device, so network administrator can monitor the configuration of network device and eliminate the security risk due to unqualified configuration.</li></ul>http://www.seipub.org/ie/PaperInfo.aspx?ID=18304Information Engineeringhttp://www.seipub.org/ie/PaperInfo.aspx?ID=183042014-0<p class="abstract">An Effective Object Recognition Algorithm Based on Multi-source Remotely-sensed Image Fusion</p><ul><li>Pages 53-56</li><li>Author Yongmei ZhangLi MaQing Y</li><li>Abstract The paper proposed a feature selection algorithm through high step association analysis, mined the various features of object recognition using property related analysis, the sensitive recognition features were chosen to improve the recognition efficiency. A recognition algorithm based on complementary features of multi-source remote sensing images was presented. The experiment results showed the algorithm had effectively improved the accuracy of bridge recognition.</li></ul>http://www.seipub.org/ie/PaperInfo.aspx?ID=18306Information Engineeringhttp://www.seipub.org/ie/PaperInfo.aspx?ID=183062014-0<p class="abstract">Food Safety Information Platform Design Based on Internet of Things</p><ul><li>Pages 63-66</li><li>Author Qiaoqiao ZhangBotao Wan</li><li>Abstract Using modern information technology to build a set of food safety information platform based on Internet of things, from raw material production to product marketing, that can make a full range of meat food traceability analysis, to ensure the safety of food industry chain of production, to find and correct the problems in a timely manner. This platform that consists of five system modules is under the framework of IOT, improving the efficiency of the enterprise, reducing costs, promoting enterprise development.</li></ul>http://www.seipub.org/ie/PaperInfo.aspx?ID=18305Information Engineeringhttp://www.seipub.org/ie/PaperInfo.aspx?ID=183052014-0<p class="abstract">Combining Colour Signatures</p><ul><li>Pages 57-62</li><li>Author Mawloud MosbahBachir Boucheha</li><li>Abstract There are a large amount of signatures and distances within the CBIR field. All of them are only approaches that do not produce the results of high quality as desired by the user. In order to improve the quality of results, combining features seems to be a good idea. In this paper, we address the feature’s combination issue based on three manners: the re-ranking mechanism is employed generally as a relevance feedback tool, the utility concept relies on the images rank and the third method is based on a mathematic formula that conjoins features. The features put under experimentation here are: histogram with 27 fixed bins, the 3 color moments: mean variance and skewness. This paper then answers three questions: firstly, does the combining features which requires more complexity practically improve the results? If yes, how much it can do that. Secondly, which one of the three approaches is the best. And finally which configuration yields the best improvement. The results obtained after experimentations achieved on the Wang database have shown that combining signatures improves surely the results and thus no matter what the manner is considered, the best approach among all tested approaches is the third one of that employs a single formula specifically when considering the Mean-Intersection setting.</li></ul>http://www.seipub.org/ie/PaperInfo.aspx?ID=18307Information Engineeringhttp://www.seipub.org/ie/PaperInfo.aspx?ID=183072014-0<p class="abstract">A Study on Spectral Super-resolution of Hyperspectral Imagery based on</p><ul><li>Pages 67-71</li><li>Author Ying WuSuyu WangYibin Ho</li><li>Abstract With the wide application of hyperspectral imagery, the resolution required is higher and higher. Without increasing the equipment cost, a spectral super-resolution method based on redundant dictionary is presented in this paper to improve the spectral resolution of hyperspectral imagery. The redundant dictionary based over-complete signal sparse decomposition theory is applied to the super resolution of hyperspectral imagery. By sparse decomposing of the spectrum curve corresponding to each pixel along the direction of spectral dimension, super-resolution is applied to the complete spectral curve of each pixel, which can ensure the consistency of their spectral characteristics during the process of super-resolution restoration, while the spectral resolution of the hyperspectral imagery is improved effectively.</li></ul>http://www.seipub.org/ie/PaperInfo.aspx?ID=20132Information Engineeringhttp://www.seipub.org/ie/PaperInfo.aspx?ID=201322014-0<p class="abstract">LEACH Improvement Based on Ant Colony Optimization and Energy Balance</p><ul><li>Pages 72-76</li><li>Author Guangxue YangFan ZhaoShouqiang Kan</li><li>Abstract As a low-power adaptive hierarchical network protocols for wireless sensor networks, LEACH assumes that all nodes can transmit data with the sink node directly and cluster head nodes transfer the information to the sink node in multi-hop fashion, therefore it is significant for using ant colony optimization algorithm to converge multi-hop path from the cluster head nodes to the sink node. In the selection of cluster head nodes, with LEACH protocol it is not been considered that the residual energy of the nodes themselves and how to distribute the cluster head nodes in the network, so we introduce the energy factor and density factor, and select the secondary cluster head from the cluster heads after the introduction of the neighbor nodes. The MATLAB simu-lation results show that taking advantage of the improved algorithm the time of death of the first node is extended and network performance and balance of node energy con-sumption are improved more effectively in the networks, which require of high coverage.factor, and select the secondary cluster head from the cluster heads after the introduction of the neighbor nodes. The MATLAB simulation results show that taking advantage of the improved algorithm the time of death of the first node was extended and network performance and balance of node energy con-sumption was improved more effectively in the networks which request of high coverage.</li></ul>http://www.seipub.org/ie/PaperInfo.aspx?ID=20133Information Engineeringhttp://www.seipub.org/ie/PaperInfo.aspx?ID=201332014-0<p class="abstract">The Application of Multi-objective Genetic K-means Clustering Algorithm to the Analyses of Cardiac Disease Diagnosis</p><ul><li>Pages 77-83</li><li>Author Jenn-Long LiuChien-Ting Che</li><li>Abstract In a case of misdiagnosing of disease, false negativity can cast a much larger impact than false positivity for both the doctor and the patient. Recently, many researchers have devoted to the study of using data mining on disease diagnosis. Current research shows by emphasizing the adoption of various clustering or classification techniques in cardiac disease diagnosis, one fails to lower the risk of misjudging a case as false negative. Therefore, this research focuses on the combination of multi-objective genetic algorithm and k-means clustering technique in data mining to analyze the data of patients suffering from cardiac disease, hoping to get higher prediction accuracy in the diagnosis and lower the risk of misjudging a case as false negative, the result of which needs to pay a high cost. These two algorithms are combined and named Multi-objective Genetic k-means Clustering Algorithm, termed MOGKCA in this work. The objectives of multi-objective optimization on cardiac disease analysis are: (1) to minimize the inaccuracy of classification (or maximize the prediction accuracy of classification), and (2) to minimize the number of false negativity (or minimize the cost of classification). The data used in this research are from UCI cardiac disease data set, Heart-staglog. From the single objective optimization case, the proposed MOGKCA can effectively elevate the classification rate. In the analysis of the two cases of data sets in their multi-objective optimization, we can get the best Pareto-Front through MOKGCA, which can be provided and help set the best point of analysis.a high cost. These two algorithms are combined and named Multi-objective Genetic k-means Clustering Algorithm, termed MOGKCA in this work. The objectives of multi-objective optimization on cardiac disease analysis are: (1) to minimize the inaccuracy of classification (or maximize the prediction accuracy of classification), and (2) to minimize the number of false negativity (or minimize the cost of classification). The data used in this research are from UCI cardiac disease data set, Heart-staglog. From the single objective optimization case, the proposed MOGKCA can effectively elevate the classification rate. In the analysis of the two cases of data sets in their multi-objective optimization, we can get the best Pareto-Front through MOKGCA, which can be provided and help set the best point of analysis.</li></ul>http://www.seipub.org/ie/PaperInfo.aspx?ID=20134Information Engineeringhttp://www.seipub.org/ie/PaperInfo.aspx?ID=201342014-0<p class="abstract">Study on Superior Business Process Segment Extraction Algorithm</p><ul><li>Pages 84-89</li><li>Author Wei TANBin WangShoubin Don</li><li>Abstract The basic of manufacturing cloud service is manufacturing resource, and the business process is the business context of the manufacturing resource. In order to provide advantage manufacturing resources for cloud services, a method to construct advantage hybrid granularity manufacturing resource based on advantage business process is proposed. Based on enterprise business process, business process evaluation criterion and calculation method of its activity performance weight value vector are constructed, and then based on which a method of superior business process segment extraction algorithm is constructed. Experimental results prove that the algorithm for extraction of the competitive hybrid granularity manufacturing resource segment is valid.</li></ul>http://www.seipub.org/ie/PaperInfo.aspx?ID=20135Information Engineeringhttp://www.seipub.org/ie/PaperInfo.aspx?ID=201352014-0<p class="abstract">TE-CDP: A Backup System Based on the Twin-Engin Continuous Data Protection</p><ul><li>Pages 90-94</li><li>Author Yongjian RenHaoze JiangJilin ZhangYe Che</li><li>Abstract This paper presents a new backup system named TE-CDP. The new system contains three methods. First of all, we propose the snapshot flow method that based on the twin-engin CDP, by which we make incremental backup of snapshot based on point-in-time. It could save storage space. In addition, in order to ensure the real-time of data protection, we propose the single mirroring method. Last but not the least, because of the poor consistency of snapshot, we present the consistency agent method of CDP, it could ensure the consistency of CDP. The experiment shows TE-CDP is able to protect data and recover snapshot in seconds.</li></ul>http://www.seipub.org/ie/PaperInfo.aspx?ID=20136Information Engineeringhttp://www.seipub.org/ie/PaperInfo.aspx?ID=201362014-0<p class="abstract">Two-machine Jobshop with Controllable Processing Times</p><ul><li>Pages 95-98</li><li>Author Kailiang XuSha Li</li><li>Abstract This paper concerns on a two-machine job-shop scheduling problem, where the processing time of the operations is controllable, and is modeled by a non-linear convex resource consumption function. The objective is to minimize the resource consumption under the condition that makespan should not exceed the given deadline. The problem is strongly NP-hard. In order to solve this problem, a polynomial time resource allocation algorithm is presented, which optimally allocate resource to job operations with arbitrarily given processing order. After this, a heuristic algorithm is presented, which provides optimal or near-optimal processing sequence for the job operations.</li></ul>http://www.seipub.org/ie/PaperInfo.aspx?ID=20918Information Engineeringhttp://www.seipub.org/ie/PaperInfo.aspx?ID=209182014-0<p class="abstract">Downlink Resource Allocation for On-Demand Multimedia Services in Cellular/Infostation Integrated HSR Networks</p><ul><li>Pages 99-105</li><li>Author Yan LeiGang ZhuChao ShenNing ZhangJingjing XuLijun Jian</li><li>Abstract In this paper, we investigate the downlink resource allocation problem for on-demand CM services in HSR OFDMA systems with a cellular/infostation integrated network architecture. The resource allocation problem is formulated by a two-stage optimization programming, which aims at maximizing the total reward of delivered services then minimizing the weight total number of cumulative discontinuity packets over the trip of the train. An equivalent one-stage programming is proposed to resolve the difficulty of multi-stage optimization. The result mixed integer programming (MIP) is NP-hard in general, thus we reformulate it as a sparse〖 l〗_0-minimization problem and then relax it to a linear programming (LP). Guided by the proposed optimization approach, we develop an efficient online resource allocation algorithm for practical systems, where a-priori knowledge of future service arrivals is not available. Finally, simulation results are provided to validate the proposed algorithms.</li></ul>http://www.seipub.org/ie/PaperInfo.aspx?ID=20919Information Engineeringhttp://www.seipub.org/ie/PaperInfo.aspx?ID=209192014-0<p class="abstract">Co-simulation of Mechanical and Hydraulic Systems of Shearer’s Regulating System</p><ul><li>Pages 106-109</li><li>Author Jie GAOHaizhong ZHANGLirong WANLaihong RENLiang WAN</li><li>Abstract In order to study the dynamic characteristics of shearer’s regulating system and to achieve position control of the shearer drum, the mechanical and hydraulic systems’ models were established separately. The results show that a linear movement of the hydraulic cylinder will cause an impact force on the pin attached to the rocker arm. Meanwhile, the hydraulic model is nonlinear when the change of effective volume of the hydraulic cylinder is considered. Finally the co-simulation model of mechanical and hydraulic systems of shearer’s regulating system was established. The simulation results show that the shearer drum’s position can be controlled by the electro-hydraulic valve with the feedback of the rocker arm’s angle.</li></ul>http://www.seipub.org/ie/PaperInfo.aspx?ID=20920Information Engineeringhttp://www.seipub.org/ie/PaperInfo.aspx?ID=20920