M. R. Rashel, A. Albino, Teresa Gonçalves, M. Tlemçani
{"title":"Sensitivity analysis of parameters of a photovoltaic cell under different conditions","authors":"M. R. Rashel, A. Albino, Teresa Gonçalves, M. Tlemçani","doi":"10.1109/SKIMA.2016.7916242","DOIUrl":"https://doi.org/10.1109/SKIMA.2016.7916242","url":null,"abstract":"A photovoltaic cell is a component which converts light energy into electrical energy. Different environmental parameters and internal parameters have a great impact on the output of the photovoltaic cell. To identify its characteristics and estimate the output, the well known Shockley diode equation is used. This equation contains all the parameters, as one environmental and different internal. The properties of these parameters were studied and their sensitivity have been analyzed through the use of an error function; this error function allows the study of the behaviour of the parameters and their characteristics against the output of the photovoltaic cell through the analysis of its curves giving the sensitivity of the different parameters to the output of the photovoltaic cell. Using these results the impact of the parameters of the photovoltaic cell has been clearly identified. White noise is included both with the ideal values and the simulation and the ideal value is imposed to get the real time environment flavor. This work analyses both systems with and without white noise.","PeriodicalId":417370,"journal":{"name":"2016 10th International Conference on Software, Knowledge, Information Management & Applications (SKIMA)","volume":"1949 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":"127460203","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}
{"title":"Q-Mon: An adaptive SOA system with data mining","authors":"Xinhuai Tang, Jiang Ge","doi":"10.1109/SKIMA.2016.7916237","DOIUrl":"https://doi.org/10.1109/SKIMA.2016.7916237","url":null,"abstract":"Traditional SOA system frequently fails to execute services after the service composition. We address these shortcomings with Q-Mon, and efficient, reliable SOA system to find the rules between the environment and the executed service. Q-Mon provides real time replacement by choosing another service to execute, which is predicted to have a good performance in the current context. Q-Mon monitors the behavior of the executing service and the environment, and the collected data is used for relationship mining. Our experimental results show that Q-MON reduces the response time drastically and also predicts suitable service to replace the failed one for executing.","PeriodicalId":417370,"journal":{"name":"2016 10th International Conference on Software, Knowledge, Information Management & Applications (SKIMA)","volume":"5 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":"123822420","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}
Qiaoliang Li, Zhewei Chen, Ping Liang, Li-Ming Deng, Jinliang Zhong, Xinyu Liu, S. Qi, Huisheng Zhang, Tianfu Wang
{"title":"Multi-view face detector using a single cascade classifier","authors":"Qiaoliang Li, Zhewei Chen, Ping Liang, Li-Ming Deng, Jinliang Zhong, Xinyu Liu, S. Qi, Huisheng Zhang, Tianfu Wang","doi":"10.1109/SKIMA.2016.7916267","DOIUrl":"https://doi.org/10.1109/SKIMA.2016.7916267","url":null,"abstract":"In this work, a cascade classifier is trained to detect multi-view face samples. Comparing with most of face detection system which use different classifier to classify frontal face and profile face, our system has advantage in detection speed. The proposed face detector extracts the Haar-like feature from the training samples and train a cascade classifier by using Adaboost learing algorithm. Different from the existing algorithms, our detection system only contains a cascade classifier model. Our preliminary experiments demonstrate that our cascade classifier can achieve similiar accuracy and 60% higher speed detection than the multi-view face detection system which consist of two sparate cascade classifiers.","PeriodicalId":417370,"journal":{"name":"2016 10th International Conference on Software, Knowledge, Information Management & Applications (SKIMA)","volume":"58 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":"125185698","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}
{"title":"Modelling of unmanned aerial vehicle deliveries in populated urban areas for risk management","authors":"Allen Z. J. Chen, J. Mo","doi":"10.1109/SKIMA.2016.7916198","DOIUrl":"https://doi.org/10.1109/SKIMA.2016.7916198","url":null,"abstract":"Study of Unmanned Aerial Vehicle (UAV) has been focused on military and special mission requirements. Flying such machines in populated urban environment has not been investigated. In this study, the risks of using UAVs to deliver goods to customers has been analysed. Based on the operating constraints and commercial reality, the delivery system is designed and simulated using a complex spatial simulation system STK so that some of the risks can be evaluated. The outcomes of this analysis is used to mitigate the flight time restriction as well as providing good understanding of the communication networks. The spatial modelling system consists of a scenario modelling system, delivery route planning, flight path simulation, communication analysis. Two of the four risks have been considered and planned while the remaining two risks need more complex simulation processes and are expected to be developed in conjunction with a mathematical system such as MATLAB.","PeriodicalId":417370,"journal":{"name":"2016 10th International Conference on Software, Knowledge, Information Management & Applications (SKIMA)","volume":"68 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":"131251727","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}
{"title":"Defogging algorithm of color images based on Gaussian function weighted histogram specification","authors":"Yi-tao Liang, Lan Li, Kui-bin Zhao, Jiang-hui Hu","doi":"10.1109/SKIMA.2016.7916248","DOIUrl":"https://doi.org/10.1109/SKIMA.2016.7916248","url":null,"abstract":"Under the condition of hazy weather, although there are many existing defogging algorithms of images, those which really realize real time and high efficiency are few. The defogging in aspects of road traffic, video supervision and target tracking is unsatisfactory. Therefore, we propose a kind of color image defogging algorithm based on histogram specification of Gaussian function weighting. This algorithm firstly adopts the HSI space luminance conversion model based on the scattering property, and extracts the intensity image I. Then, it adopts histogram specification algorithm based on Gaussian function weighting for processing, further converting to RGB color space to obtain the intensified image. The processing effect is obviously superior to the histogram specification algorithm, moreover, the calculated amount is small and the processing speed is fast without manual intervention.","PeriodicalId":417370,"journal":{"name":"2016 10th International Conference on Software, Knowledge, Information Management & Applications (SKIMA)","volume":"39 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":"131760772","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}
Xiaoying Shi, Quangang Zhou, Xinyu Qu, Geng Liu, Zhaozhe Gong
{"title":"Understanding city dynamics based on public bicycle data: A case study in Hangzhou","authors":"Xiaoying Shi, Quangang Zhou, Xinyu Qu, Geng Liu, Zhaozhe Gong","doi":"10.1109/SKIMA.2016.7916212","DOIUrl":"https://doi.org/10.1109/SKIMA.2016.7916212","url":null,"abstract":"With the development of wireless communication and network technology, large amounts of public transportation data can be acquired and analyzed to discover the underlying city dynamics. In this paper, by using trip level data collected from Hangzhou public bicycle system(PBS), we visually analyze the city dynamics under different external conditions based on the heat map and conditional analysis method. According to the analysis results, we could not only find the city heart and understand people's travel purpose by cycling in different days, but also compare the changing of bicycle rental patterns and spatial distributions under different weather conditions and calendar properties in different time granularity.","PeriodicalId":417370,"journal":{"name":"2016 10th International Conference on Software, Knowledge, Information Management & Applications (SKIMA)","volume":"81 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":"133287861","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}
Mohammad Hanif Gharanai, Roshna Shirzai Gh, A. Rashid
{"title":"In the digital future: Revitalizing information management systems in Afghan settings through not only SQL (MongoDB) technology","authors":"Mohammad Hanif Gharanai, Roshna Shirzai Gh, A. Rashid","doi":"10.1109/SKIMA.2016.7916195","DOIUrl":"https://doi.org/10.1109/SKIMA.2016.7916195","url":null,"abstract":"At the present, most of the organizations are dependent on predefined or structured databases such as Oracle, MySQL etc. However, when data increases, structured database systems cannot handle hug data efficiently and effectively. This study attempts to use unstructured database management system namely “MongoDB” to overcome the mentioned issue and replace the structured databases. We also compare CRUD operations based on key-value approach by No-SQL and SQL databases. Besides, we explain and present performance analysis of MongoDB. Meantime, this work also studies the importance of the sharding and replication in the MongoDB paradigm. Hopefully, this effort makes an environment for manageability, schema-less development, horizontal scalability etc. that the developer would be helped while taking decision wisely and leads to cover the weaknesses of MySQL.","PeriodicalId":417370,"journal":{"name":"2016 10th International Conference on Software, Knowledge, Information Management & Applications (SKIMA)","volume":"34 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":"122018136","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}
{"title":"A reference architecture for big data systems","authors":"G. M. Sang, Lai Xu, Paul Ton de Vrieze","doi":"10.1109/SKIMA.2016.7916249","DOIUrl":"https://doi.org/10.1109/SKIMA.2016.7916249","url":null,"abstract":"Over dozens of years, applying new IT technologies into organizations has always been a big concern for business. Big data certainly is a new concept exciting business. To be able to access more data and empower to analysis big data requires new big data platforms. However, there still remains limited reference architecture for big data systems. In this paper, based on existing reference architecture of big data systems, we propose new high level abstract reference architecture and related reference architecture notations, that better express the overall architecture. The new reference architecture is verified using one existing case and an additional new use case.","PeriodicalId":417370,"journal":{"name":"2016 10th International Conference on Software, Knowledge, Information Management & Applications (SKIMA)","volume":"47 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":"116112548","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}
{"title":"A framework for evaluating customer satisfaction","authors":"Libo Zhang, Yihan Sun, Tiejian Luo","doi":"10.1109/SKIMA.2016.7916264","DOIUrl":"https://doi.org/10.1109/SKIMA.2016.7916264","url":null,"abstract":"Along with the activity of human on social media platform increasing, social media analysis has been widely used in various fields' research, including sentiment analysis. In this paper, we propose a framework to evaluate customer satisfaction on the basis of the data from social media platform and the technology of sentiment analysis. Evaluating customer satisfaction based on the comments from social media platform is very authentic and reliable for the reason that people prefer to tell the true feeling in social media rather than in business survey. Thus our analysis result can help potential customer pick out the most suitable one according to their demands when facing so many choices. And furthermore, the result can provide great valuable insight for companies to improve their services. For better demonstrate our approach, we take six American airlines as example to explain the process minutely and our source data is collected from Twitter.","PeriodicalId":417370,"journal":{"name":"2016 10th International Conference on Software, Knowledge, Information Management & Applications (SKIMA)","volume":"33 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":"116255244","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}
{"title":"Route scheduling for HSSP using adaptive genetic algorithm with constructive scheduling technique","authors":"Thepparit Sinthamrongruk, K. Dahal","doi":"10.1109/SKIMA.2016.7916232","DOIUrl":"https://doi.org/10.1109/SKIMA.2016.7916232","url":null,"abstract":"Shortest path finding has been a challenging task in most of the complex multipath scenarios. The complexity rises with the introduction of constraints to the scenarios. Healthcare service to the patient is one of the real world problems where travelling path has significant impact on the service time. The purpose of this research is to develop new approach to solve multiple travelling salesman problem (MTSP) for healthcare staff members offering healthcare services at patients homes travelling in different routes with the minimum total cost. The proposed approach uses Genetic Algorithm (GA) combined with Constructive Scheduling, Local Search, and Adaptive Technique to increase the efficiency. A case study with 45 patient task locations is generated according to referenced work. The result shows that the combined algorithms explore improved solution than that of the traditional GA. Constructive Scheduling using K-mean algorithm is applied to generate initial chromosome which provides improved results with acceptable computational time. Also, Adaptive GA shows a few different solutions to the traditional GA. All these approaches are beneficial to the traditional method in shortest path finding problems.","PeriodicalId":417370,"journal":{"name":"2016 10th International Conference on Software, Knowledge, Information Management & Applications (SKIMA)","volume":"5 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":"121980630","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}