A. Stiegler, Claudius Messerschmidt, J. Maucher, K. Dahal
{"title":"Hearthstone deck-construction with a utility system","authors":"A. Stiegler, Claudius Messerschmidt, J. Maucher, K. Dahal","doi":"10.1109/SKIMA.2016.7916192","DOIUrl":"https://doi.org/10.1109/SKIMA.2016.7916192","url":null,"abstract":"Trading Card Games are turn-based games involving strategic planning, synergies and rather complex gameplay. An interesting aspect of this game domain is the strong influence of their metagame: in this particular case deck-construction. Before a game starts, players select which cards from a vast card pool they want to take into the current game session, defining their available options and a great deal of their strategy. We introduce an approach to do automatic deck construction for the digital Trading Card Game Hearthstone, based on a utility system utilizing several metrics to cover gameplay concepts such as cost effectiveness, the mana curve, synergies towards other cards, strategic parameters about a deck as well as data on how popular a card is within the community. The presented approach aims to provide useful information about a deck for a player-level AI playing the actual game session at runtime. Herein, the key use case is to store information on why cards were included and how they should be used in the context of the respective deck. Besides creating new decks from scratch, the algorithm is also capable of filling holes in existing deck skeletons, fitting an interesting use case for Human Hearthstone players: adapting a deck to their specific pool of available cards. After introducing the algorithms and describing the different utility sources used, we evaluate how the algorithm performs in a series of experiments filling holes in existing decks of the Hearthstone eSports scene.","PeriodicalId":417370,"journal":{"name":"2016 10th International Conference on Software, Knowledge, Information Management & Applications (SKIMA)","volume":"6 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":"125771851","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":"Lithium-ion battery life evaluation method based on fuzzy nonlinear accelerated degradation process","authors":"Linye Ma","doi":"10.1109/SKIMA.2016.7916238","DOIUrl":"https://doi.org/10.1109/SKIMA.2016.7916238","url":null,"abstract":"In engineering practice, restricted by time and expense of the test, we generally choose a small sample as the test object of accelerated degradation test. The size of the sample is so small that the parameters gotten from solving model will not precise enough, which will result in that the rationality of life evaluation results is not guaranteed. We think that this kind of uncertainty belongs to cognitive uncertainty. Through analyzing the mechanism of lithium-ion batteries, we select Wiener process, the most commonly used in degradation model, as the degradation model, and Arrhenius model, in which temperature is considered as the sensitive stress, as acceleration model. Fuzzy theory is used to fuzzify the activation energy of lithium-ion battery to quantify the cognitive uncertainty caused by sample size. Thereby we build a new accelerated degradation model in which the nonlinear degeneration, stochastic uncertainty and cognitive uncertainty of lithium-ion acceleration degradation process are all taken into account. Then we give out the statistical analysis method and evaluation process of fuzzy reliability and life assessment results. Finally, we use accelerate degradation simulated data of lithium-ion battery to illustrate the effectiveness of this method, and analyze the influence of cognitive uncertainty on evaluation results.","PeriodicalId":417370,"journal":{"name":"2016 10th International Conference on Software, Knowledge, Information Management & Applications (SKIMA)","volume":"78 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":"126172770","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 hyperspectral imaging technology based method for identifying the variety of mengding mountain tea","authors":"Yao Li, Zhiliang Kang","doi":"10.1109/SKIMA.2016.7916191","DOIUrl":"https://doi.org/10.1109/SKIMA.2016.7916191","url":null,"abstract":"Aiming at disadvantages of labor and time consuming of traditional tea classification method, this paper proposes a tea variety classification algorithm that integrates spectral and image characteristics with Mengding Mountain Huangya tea, Zhuyeqing tea and Ganlu tea of Ya'an City, Sichuan Province as objects. It firstly collected the hyperspectral images of tea samples with “GaiaSorter” hyperspectral sorter. After performing relevant pretreatment, 18 spectral characteristic parameters including red-edge position, absorbing area and absorbing depth were extracted according to the spectral curves and 28 image characteristics including average gray scale, consistency and entropy were extracted according to the images. The confluent characteristics were carried out dimensionality reduction with PCA (principal component analysis) method before they are classified and identified with C-SVM algorithm. Experimental results showed that classification of three varieties of tea can be realized rapidly when the input principal component is selected as 3 and the accuracy rate of identification is up to 100%.","PeriodicalId":417370,"journal":{"name":"2016 10th International Conference on Software, Knowledge, Information Management & Applications (SKIMA)","volume":"38 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":"121970105","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 literature review on phishing crime, prevention review and investigation of gaps","authors":"Anjum N. Shaikh, A. Shabut, M. Hossain","doi":"10.1109/SKIMA.2016.7916190","DOIUrl":"https://doi.org/10.1109/SKIMA.2016.7916190","url":null,"abstract":"Phishing is a rapidly growing threat in cyber world and causing billions of dollars in damage every year to internet users. It is an unlawful activity which uses a group of social engineering and technology to collect an Internet user's sensitive information. The identification of phishing techniques can be performed in various methods of communications like email, instant messages, pop-up messages, or at web page level. Over the period, a number of research articles have published with different techniques and procedures but have failed to detect all associated risks and provide a comprehensive solution. This paper presents a theoretical model of CRI to study this threat in a systematic manner. While there is a common perception about the successful phishing attack involves creating an identical messages or website to deceive the internet user however this theory has not been utilized to evaluate this threat and investigate the gaps systematically. Our model attempts to evaluate this crime, review different research perspectives and approaches and investigate the gaps. In this sense, our literature review study is significant to generate attentiveness about phishing in order to boost thoughts and actions to improve the cyber security and gain internet users' confidence.","PeriodicalId":417370,"journal":{"name":"2016 10th International Conference on Software, Knowledge, Information Management & Applications (SKIMA)","volume":"9 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":"126876227","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}
Roua Elchamaa, Baudouin Dafflon, Y. Ouzrout, Franck Gechter
{"title":"Agent based monitoring for smart cities: Application to traffic lights","authors":"Roua Elchamaa, Baudouin Dafflon, Y. Ouzrout, Franck Gechter","doi":"10.1109/SKIMA.2016.7916235","DOIUrl":"https://doi.org/10.1109/SKIMA.2016.7916235","url":null,"abstract":"Traffic congestion in large cities became a huge problem, which can lead to a lot of losses especially at the human and material levels. This paper proposes a decentralized model based on multi-agent systems (MAS) and complex event processing (CEP). The new control scheme aims to improve green light time in order to reduce the average waiting time of vehicles in front of the traffic light, especially if the road is empty, and to reduce congestion at crossroad. This improvement is provided by the observation of the intersection through Cyber Physical Systems (CPS). This paper propose an auto-adaptive model for smart regulation traffic lights. The developed model will be evaluated and analyzed using different metrics and scenarios so as to test their influence on system performance.","PeriodicalId":417370,"journal":{"name":"2016 10th International Conference on Software, Knowledge, Information Management & Applications (SKIMA)","volume":"283 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":"132423914","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}
Kamhangwong Damrongpol, G. Neubert, A. Sekhari, P. Sureephong
{"title":"Quantification of freshness loss and an optimization approach for managing fresh fruit exportation","authors":"Kamhangwong Damrongpol, G. Neubert, A. Sekhari, P. Sureephong","doi":"10.1109/SKIMA.2016.7916234","DOIUrl":"https://doi.org/10.1109/SKIMA.2016.7916234","url":null,"abstract":"An integrative view on logistics and product quality is one of keys to supply chain management for the fresh food industry. As it is difficult to define quality deterioration during distribution and incorporate it into logistics cost model, a quality loss assessment in term of freshness loss and a simple modelling approach to maximize net profit is proposed in this study. Export of Mangosteen from Thailand to China has been selected to be a case study and to develop the proposed model with varying environmental condition of storage and transportation, and quantity of supply and demand. The resulting model can be applied in an illustrative case study for the other fresh produce, and it can be used to plan and operate fruit exportation in term of production, distribution and inventory planning.","PeriodicalId":417370,"journal":{"name":"2016 10th International Conference on Software, Knowledge, Information Management & Applications (SKIMA)","volume":"19 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":"126573394","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}
Dongyun Wang, Aihui Wang, Yiwen Fu, Junming Xiao, Huiqin Liu
{"title":"Robust nonlinear perfect control for semiconductor refrigeration device","authors":"Dongyun Wang, Aihui Wang, Yiwen Fu, Junming Xiao, Huiqin Liu","doi":"10.1109/SKIMA.2016.7916257","DOIUrl":"https://doi.org/10.1109/SKIMA.2016.7916257","url":null,"abstract":"In this paper, operator-based robust perfect control for nonlinear semiconductor refrigeration device with uncertainties is considered. For the research about the properties of the semiconductor refrigeration, an aluminum plate with Peltier device is very representative. So, the perfect tracking control performance is studied by using this device. The robust right coprime factorization approach is convenient in analysis and design for the nonlinear system with uncertainties, based on this reason, operator-based robust right coprime factorization approach and operator-based observer approach are used. First, something about semiconductor refrigeration devices and operator-based robust right coprime factorization approach has been introduced. Second, basic conceptions and methods about operator method and robust right coprime factorization approach are described in rough. Third, a perfect tracking control design is given, the robust stability of the system is guaranteed and the perfect tracking performance can be achieved. Finally, the effectiveness of the design scheme is demonstrated by an experiment for the aluminum plate with Peltier device.","PeriodicalId":417370,"journal":{"name":"2016 10th International Conference on Software, Knowledge, Information Management & Applications (SKIMA)","volume":"73 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":"124696417","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":"Attribute identification and predictive customisation using fuzzy clustering and genetic search for Industry 4.0 environments","authors":"A. Saldivar, C. Goh, Yun Li, Hongnian Yu, Yi Chen","doi":"10.1109/SKIMA.2016.7916201","DOIUrl":"https://doi.org/10.1109/SKIMA.2016.7916201","url":null,"abstract":"Today s factory involves more services and customisation. A paradigm shift is towards “Industry 4.0” (i4) aiming at realising mass customisation at a mass production cost. However, there is a lack of tools for customer informatics. This paper addresses this issue and develops a predictive analytics framework integrating big data analysis and business informatics, using Computational Intelligence (CI). In particular, a fuzzy c-means is used for pattern recognition, as well as managing relevant big data for feeding potential customer needs and wants for improved productivity at the design stage for customised mass production. The selection of patterns from big data is performed using a genetic algorithm with fuzzy c-means, which helps with clustering and selection of optimal attributes. The case study shows that fuzzy c-means are able to assign new clusters with growing knowledge of customer needs and wants. The dataset has three types of entities: specification of various characteristics, assigned insurance risk rating, and normalised losses in use compared with other cars. The fuzzy c-means tool offers a number of features suitable for smart designs for an i4 environment.","PeriodicalId":417370,"journal":{"name":"2016 10th International Conference on Software, Knowledge, Information Management & Applications (SKIMA)","volume":"75 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":"127291118","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":"Research on network learning platform and its application in teaching","authors":"Huiting Wu, Yanshen Liu, Lin Qiu, Yi Liu","doi":"10.1109/SKIMA.2016.7916252","DOIUrl":"https://doi.org/10.1109/SKIMA.2016.7916252","url":null,"abstract":"In consideration of the problem of the poor efflciency in traditional classroom teaching owing to the constraint in time and space, a research which combines traditional classroom with E-learning in blended learning is proposed. The software engineering course is chosen and the network platform can serve as an effective instrument for teaching. In our study, the teaching content can be shared in the network learning platform and students can be permitted to choose the learning content according to their study situation. Students can be involved in various online test, formal test or experimental work through the network. After the completion of the examination, the system will automatically score and rank test scores, and put forward some learning suggestions according to the weakness of the learners. The learning mode is changed from single classroom learning to the combination of curricular and extracurricular learning. Through the questionnaire survey which includes the indication of participation and satisfaction among the students on both traditional learning and blended learning, it shows that the blended learning model can greatly improve students' autonomous learning ability, learning interest, practical ability and innovation ability. The application of network platform provides rich teaching resources for teachers so that the communication between teachers and students is more frequent and the quality of teaching can be substantially improved. It indicates that blended learning can effectively promote teaching effectiveness.","PeriodicalId":417370,"journal":{"name":"2016 10th International Conference on Software, Knowledge, Information Management & Applications (SKIMA)","volume":"3 7","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120900227","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":"Cognitive radio engine learning adaptation","authors":"Martins Olaleye, K. Dahal, Zeeshan Pervez","doi":"10.1109/SKIMA.2016.7916241","DOIUrl":"https://doi.org/10.1109/SKIMA.2016.7916241","url":null,"abstract":"Cognitive radio (CR) system being an intelligence-based communication device has been considered as the next generation emerging technologies to Wireless Communication Systems (WCS). This CR's embedded-intelligent agent is called Cognitive Engine (CE), and is responsible for the dynamic adaptation between the WCS's environment and the radio operational parameters. As a result of CR's intelligence capability, the WCS's quality of service (QoS) and its connectivity operations get enhanced. In order to evaluate the CR engine performance in respect to its learning, timing, and its computational performances. This paper proposes an alternative state-of-the-art enhanced CR learning engine based on Random Neural Network (RNN). Unlike Artificial Neural Network (ANN) systems, RNN establishes strong data generalization, converges faster and produces relatively smaller levels of prediction errors. Subjected to similar environmental conditions, the simulation cumulative results show that the performance of the proposed RNN system is satisfactory and produces 36.895% performance improvement above the ANN learning engine.","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":"130817267","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}