2016 10th International Conference on Software, Knowledge, Information Management & Applications (SKIMA)最新文献_第5页

Design of smart grid integrated interactive terminal 智能电网集成交互终端的设计

2016 10th International Conference on Software, Knowledge, Information Management & Applications (SKIMA) Pub Date : 1900-01-01 DOI: 10.1109/SKIMA.2016.7916224

Junxin Chen, Yong-gang Peng, Wei Wei

引用次数: 2

Dreamweaver on the cloud: Web designers' perspectives 云上的Dreamweaver:网页设计师的视角

2016 10th International Conference on Software, Knowledge, Information Management & Applications (SKIMA) Pub Date : 1900-01-01 DOI: 10.1109/SKIMA.2016.7916231

Julija Naskova

引用次数: 1

A comprehensive survey on image-based computer aided diagnosis systems for skin cancer 基于图像的皮肤癌计算机辅助诊断系统综述

2016 10th International Conference on Software, Knowledge, Information Management & Applications (SKIMA) Pub Date : 1900-01-01 DOI: 10.1109/SKIMA.2016.7916221

Nazia Hameed, A. Ruskin, Kamal Abu-Hassan, M. A. Hossain

{"title":"A comprehensive survey on image-based computer aided diagnosis systems for skin cancer","authors":"Nazia Hameed, A. Ruskin, Kamal Abu-Hassan, M. A. Hossain","doi":"10.1109/SKIMA.2016.7916221","DOIUrl":"https://doi.org/10.1109/SKIMA.2016.7916221","url":null,"abstract":"Malignant melanoma is the deadliest form of skin cancer. In 2013 around 14,509 melanoma cases were found in the United Kingdom and the rate is increasing ever since. Melanoma can be easily treatable if detected in early stages. Clinical as well as automated methods are being used for melanoma diagnosis. Image-based computer aided diagnosis systems have great potential for early malignant melanoma detection. In this paper we review state of the art in computer aided diagnosis system and examine recent practices in different steps of these systems. Statistics and results from the most important and recent implementations are analyzed and reported. We compared the performance of recent work based on different parameters like accuracy, dataset, computational time, color space, machine learning technique etc. and summarized them in table format for better understanding of emergent researchers in the field of computer aided skin diagnosis systems. Research challenges regarding the different parts of computer aided skin cancer diagnosis systems are also highlighted.","PeriodicalId":417370,"journal":{"name":"2016 10th International Conference on Software, Knowledge, Information Management & Applications (SKIMA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116227625","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 43

A hybrid real-time EMG intelligent rehabilitation robot motions control based on Kalman Filter, support vector machines and particle swarm optimization 基于卡尔曼滤波、支持向量机和粒子群优化的混合实时肌电智能康复机器人运动控制

2016 10th International Conference on Software, Knowledge, Information Management & Applications (SKIMA) Pub Date : 1900-01-01 DOI: 10.1109/SKIMA.2016.7916262

B. Elbagoury, L. Vlădăreanu

{"title":"A hybrid real-time EMG intelligent rehabilitation robot motions control based on Kalman Filter, support vector machines and particle swarm optimization","authors":"B. Elbagoury, L. Vlădăreanu","doi":"10.1109/SKIMA.2016.7916262","DOIUrl":"https://doi.org/10.1109/SKIMA.2016.7916262","url":null,"abstract":"Intelligent Control of agent autonomous rehabilitation robot is a very complex problem, especially for stroke patients' treatments and dealing with real-time EMG sensors readings of muscles activity states and transfer between real-time Human motions to interface with rehabilitation robot agent or assisteddevice. The field of Artificial Intelligence and neural networks plays a critical role in modern intelligent control interfaces for robot devices. This paper presents a novel hybrid intelligent robot control that acts as human-robot interaction, where it depends on real-time EMG sensor patients data and extracted features along with estimated knee joint angles from Extended Kalman Filter method are used for training the intelligent controller using support vector machines trained with Adatron Learning algorithm for handling huge data values of sensors readings. Moreover, the proposed platform for rehabilitation robot agent is tested in the framework of the NAO Humanoid Robot agent along with Neurosolutions Toolkit and Matlab code. The average overall accuracy of the proposed intelligent motion SVM-EKF controller shows average high performance that approaches average 96% of knee motions classifications and also good performance for comparing Extended Kalman filter knee joint angles estimations and real EMG human knee joint angles in the framework of Human Walk Gait cycle. Also, the basic enhancement of proposing PSO optimization technique for robot knee motion is discussed for future improvements. The overall algorithm, methodology and experiments are presented in this paper along with future work.","PeriodicalId":417370,"journal":{"name":"2016 10th International Conference on Software, Knowledge, Information Management & Applications (SKIMA)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127055963","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

Influencers of information system usage among employees for knowledge creation. A future research agenda 员工使用信息系统对知识创造的影响。未来的研究议程

2016 10th International Conference on Software, Knowledge, Information Management & Applications (SKIMA) Pub Date : 1900-01-01 DOI: 10.1109/SKIMA.2016.7916210

Saqib Shamim, Shuang Gang, Hongnian Yu

{"title":"Influencers of information system usage among employees for knowledge creation. A future research agenda","authors":"Saqib Shamim, Shuang Gang, Hongnian Yu","doi":"10.1109/SKIMA.2016.7916210","DOIUrl":"https://doi.org/10.1109/SKIMA.2016.7916210","url":null,"abstract":"Knowledge management and information systems are discussed very frequently by researchers in last two decades. It is noticed that knowledge management is often confused with information management and information systems. In fact these are two different concepts, and number of recent studies reports that information systems facilitates knowledge management. Existing literature also discusses few of the factors affecting the use of information system. Technology acceptance model (TAM) is the most discussed model. This study goes a step further by discussing the factors affecting the use of information system to create knowledge. It is not limited to the use of information system for routine work, but it focuses on the issue that why employees do or do not analyse information, available in the information system to create knowledge. As analysing and understanding the pattern of information leads to knowledge creation. For this purpose, this study integrates the existing literature with the logical beliefs to offer propositions and a view point that what are the factors having the potential of influencing the use of information system among employees, to analyse information for knowledge creation. Furthermore this study also categorizes the factors as individual and organizational factors. This study also provides a framework for future empirical research.","PeriodicalId":417370,"journal":{"name":"2016 10th International Conference on Software, Knowledge, Information Management & Applications (SKIMA)","volume":"442 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120875470","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 9

Fire scheduling for multiple weapons cooperative engagement 多武器协同作战的火力调度

2016 10th International Conference on Software, Knowledge, Information Management & Applications (SKIMA) Pub Date : 1900-01-01 DOI: 10.1109/SKIMA.2016.7916197

Mingxing Zhang, Jiaming Zhang, Guangquan Cheng, Chao Chen, Zhong Liu

{"title":"Fire scheduling for multiple weapons cooperative engagement","authors":"Mingxing Zhang, Jiaming Zhang, Guangquan Cheng, Chao Chen, Zhong Liu","doi":"10.1109/SKIMA.2016.7916197","DOIUrl":"https://doi.org/10.1109/SKIMA.2016.7916197","url":null,"abstract":"In the multi-weapon platform cooperative combat conditions, coordination of weapons between different weapons platforms in order to quickly calculate the launch time of all weapons become very urgent and extremely difficult. To solve the problem of multi — weapon cooperative launch scheduling, the mixed integer programming model of multi — weapon platform multi — attack targets is established by minimizing the final launch time of weapon platform. A fast heuristic algorithm based on task priority is designed, which can provide the commander with the weapon firing timing scheme with priority strike requirement. A trajectory cross-processing scheme based on time dimension optimization is proposed, and the algorithm of launch time solution and space compression Evolutionary Strategy of Feasibility of Thought. Finally, the model and algorithm are validated by case study, and the feasibility of feasible solution evolution strategy is discussed. The experimental results show that the model and method can effectively solve the problem of multi-weapon cooperative battle launch sequence planning.","PeriodicalId":417370,"journal":{"name":"2016 10th International Conference on Software, Knowledge, Information Management & Applications (SKIMA)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129630439","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

Research on commercial potential evaluation of newly & emerging technology: A case study of graphene 新兴技术商业潜力评价研究——以石墨烯为例

2016 10th International Conference on Software, Knowledge, Information Management & Applications (SKIMA) Pub Date : 1900-01-01 DOI: 10.1109/SKIMA.2016.7916213

Lei Zhang, Yan Qi, Ying Huang, Xuefeng Wang

引用次数: 1

A source code quality analysis approach 源代码质量分析方法

2016 10th International Conference on Software, Knowledge, Information Management & Applications (SKIMA) Pub Date : 1900-01-01 DOI: 10.1109/SKIMA.2016.7916211

Tahira Iqbal, M. Iqbal, Muhammad Asad, Aihab Khan

引用次数: 1

Classification of Parkinson's disease and essential tremor based on structural MRI 基于结构MRI的帕金森病和特发性震颤的分类

2016 10th International Conference on Software, Knowledge, Information Management & Applications (SKIMA) Pub Date : 1900-01-01 DOI: 10.1109/SKIMA.2016.7916256

Li Zhang, Chang Liu, Xiujun Zhang

{"title":"Classification of Parkinson's disease and essential tremor based on structural MRI","authors":"Li Zhang, Chang Liu, Xiujun Zhang","doi":"10.1109/SKIMA.2016.7916256","DOIUrl":"https://doi.org/10.1109/SKIMA.2016.7916256","url":null,"abstract":"Parkinson's disease (PD) and essential tremor (ET) are two kinds of tremor disorders which always confusing doctors in clinical diagnosis. Early experiments have already shown that Parkinson's disease can cause pathological changes in the brain region named Caudate_R (a part of Basal ganglia) while essential tremor cannot. Although there are many research work on the classification of PD and ET, they didn't achieve the automatic classification of the two diseases. In order to achieve this, we proposed a machine learning framework based on principal components analysis (PCA) and Support Vector Machine (SVM) to the classification of Parkinson's disease and Essential Tremor. This machine learning framework has two-stage method. At first, we used principal component analysis (PCA) to extract discriminative features from structural MRI data. Then SVM classifier is employed to classify PD and ET. We used statistical analysis and machine learning method to test the differences between PD and ET in specific brain regions. As a result, the machine learning method has a better performance in extracting the differential brain regions. The highest classification accuracy is up to 93.75% in the differential brain regions.","PeriodicalId":417370,"journal":{"name":"2016 10th International Conference on Software, Knowledge, Information Management & Applications (SKIMA)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121029392","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

Shortest path problem under triangular fuzzy neutrosophic information 三角模糊中性信息下的最短路径问题

2016 10th International Conference on Software, Knowledge, Information Management & Applications (SKIMA) Pub Date : 1900-01-01 DOI: 10.1109/SKIMA.2016.7916216

S. Broumi, A. Bakali, M. Talea, F. Smarandache, L. Vlădăreanu

引用次数: 43