{"title":"Context-Based Service Recommendation System Using Probability Model in Mobile Devices","authors":"Weng Wen, Huai-kou Miao","doi":"10.1109/ES.2016.29","DOIUrl":"https://doi.org/10.1109/ES.2016.29","url":null,"abstract":"As wireless communication and mobile devicesadvances, recommendation system is one of the keytechnologies to realize personalized service. This paperproposes a service recommendation mechanism using aprobabilistic model in mobile devices. With the contextualinformation and the use's demand state inferred by the model, we can recommend a service to meet the user's preferencesand needs at real time. Finally, the model checking method is used to verify the reliability of the service composition recommended by the above method.","PeriodicalId":184435,"journal":{"name":"2016 4th International Conference on Enterprise Systems (ES)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129802825","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}
N. Jamous, Sascha Bosse, Carsten Görling, Johannes Hintsch, Ateeq Khan, Frederik Kramer, H. Müller, K. Turowski
{"title":"Towards an IT Service Lifecycle Management (ITSLM) Concept","authors":"N. Jamous, Sascha Bosse, Carsten Görling, Johannes Hintsch, Ateeq Khan, Frederik Kramer, H. Müller, K. Turowski","doi":"10.1109/ES.2016.10","DOIUrl":"https://doi.org/10.1109/ES.2016.10","url":null,"abstract":"Information Technology (IT) usage in enterprises has evolved over the last years. This led to today's complex, heterogeneous, and dynamic IT system landscapes that support business processes in enterprises. To manage these landscapes, the IT Service Management (ITSM) concept is gaining more importance in today's business and research. Studies demonstrate that introducing ITSM standards lead to positive effects, such as improved customer-orientation as well as efficiency and transparency of IT support, which justify the costs of implementation. However, companies still face difficulties in deciding which processes to be implement (first), and to which extent. Questions like: \"How can the currently applied ITSM be adapted or extended when new business-related or technological challenges appear?\" arise. Goods producing companies started early relying on Product Lifecycle Management (PLM). PLM delivers a solid means to define, discuss, analyze, and better standardize value creation processes. With PLM in mind, we propose a concept to adopt and further develop it towards IT Service Lifecycle Management (ITSLM) suitable for the IT services provider environment. After introducing ITSLM, analyzing its processes, and its correlation to PLM, we design ITSLM as a model-driven process support. The selection of appropriate models with different complexity can be used to implement and adapt standard supporting tasks with minimum effort. Two use cases are detailed: fault-tolerance design optimization as well as automation of IT service provisioning. In these areas, suitable model complexity levels, computer-aided task support as well as the knowledge transfer among these models are discussed.","PeriodicalId":184435,"journal":{"name":"2016 4th International Conference on Enterprise Systems (ES)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117328749","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}
Johannes Hintsch, Frederik Kramer, N. Jamous, K. Turowski
{"title":"The Application System Landscapes of IT Service Providers: A Multi Case Study","authors":"Johannes Hintsch, Frederik Kramer, N. Jamous, K. Turowski","doi":"10.1109/ES.2016.22","DOIUrl":"https://doi.org/10.1109/ES.2016.22","url":null,"abstract":"Achieving efficiency gains on all levels of enterprise architecture by such means as standardization has been and is a goal of researchers and practitioners working on the provisioning of IT services. At the process level, provisioning IT services is defined in common practice frameworks like the IT Infrastructure Library (ITIL). ITIL describes a trend where vendors offer new application systems for IT service providers with an increasingly holistic approach. However, it remains unanswered what these systems are, what the as-is situation of application system landscapes of providers is (regarding their application system mix), and if different types of providers use different types of systems. To address these questions, a case study approach was adopted: External and internal IT service providers provisioning industrial or personal services were sampled as cases, spanning all types (provider categories) within the adopted IT service provider categorization framework. We found that IT service providers from the same category have a similar mix of application systems. The paper contributes to the knowledge base by informing those who need to make pre-appraisals about a provider's current application system landscape (e.g. within merger and acquisitions projects) as well as allowing practitioners to proactively construct their landscapes during market entry.","PeriodicalId":184435,"journal":{"name":"2016 4th International Conference on Enterprise Systems (ES)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121089594","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":"Design of 3D Rendering Platform Based on Cloud Computing","authors":"JiaQi Wu, Huahu Xu, T. Vassilev","doi":"10.1109/ES.2016.26","DOIUrl":"https://doi.org/10.1109/ES.2016.26","url":null,"abstract":"In the recent years cloud computing has become one of the hottest topics in the field of information technology. It links a certain amount of computing, storage and software resources to make a huge scale of shared virtual IT resource pool, providing unlimited capacity IT services for remote computer users. Cloud computing attracts the attention of more and more enterprises by using its advantages such as convenience, economical benefit, high scalability. It can release the companies from the heavy pressure of managing and maintaining IT infrastructure. With the development of university information infrastructure many universities have built digital campuses and cloud platforms, so a cloud rendering platform can be established on the basis of the private cloud in a digital campus. Then idle resources can be shared for animation rendering, which will provide a solid backing for animation teaching, research and experiment. From the application point of view, this paper analyzes the challenges which animation rendering industry is faced with, and introduces the cloud computing theory and key technologies of cloud rendering solutions. Finally, we propose an instance of cloud rendering platform established on the private cloud in a campus, analyzing the system structure, work processes and the method of use.","PeriodicalId":184435,"journal":{"name":"2016 4th International Conference on Enterprise Systems (ES)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122368182","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 Conceptual Model for an Intelligent Simulation-Based Learning Management System Using a Data Mining Agent in Clinical Skills Education","authors":"Halima E. Samra, B. Soh, M. Alzain","doi":"10.1109/ES.2016.17","DOIUrl":"https://doi.org/10.1109/ES.2016.17","url":null,"abstract":"Clinical skills education is an essential component of the teaching plan in medical science courses, such as nursing education. Simulation-based learning is an effective teaching method in any practical or vocational-based training. The development of simulation-based teaching has been impacted by the integration of emerging technologies, such as Intelligent Tutoring Systems (ITSs), which results in a more interactive and adaptive environment. Recently, educational data mining (EDM) has played an important role in the development of ITSs by providing different methods and techniques to predict a student's performance. Research carried out to deliver intelligent simulation-based systems for clinical skills teaching has applied several artificial intelligence techniques, however there is a lack of research that describes the use of the powerful methods and techniques available in EDM. This paper investigates and traces the technological developments of the most effective methods employed to promote learning in clinical skills education, particularly in nursing education, where skills acquisition is imperative for the provision of high quality care. To this end, we propose a conceptual model for an intelligent simulation-based learning system using a data mining agent in clinical skills education.","PeriodicalId":184435,"journal":{"name":"2016 4th International Conference on Enterprise Systems (ES)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126898468","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":"Enterprise Architecture Measurement: A Systematic Mapping Study","authors":"Ammar Abdallah, J. Lapalme, A. Abran","doi":"10.1109/ES.2016.8","DOIUrl":"https://doi.org/10.1109/ES.2016.8","url":null,"abstract":"The literature about enterprise architecture (EA) measurement discusses a number of challenges. This systematic mapping survey explores the EA measurement research area to figure out how the research area is structured, look at gaps in EA measurement research, and recommend future improvements. Some of the key findings of this paper show that current research only address a limit perspective on the meaning of EA. In addition, the EA measurement literature presents indications that its theoretical grounding is lacking with regards to the meaning of EA measurement, the evaluation of EA, the assessment of EA, and the analysis of EA.","PeriodicalId":184435,"journal":{"name":"2016 4th International Conference on Enterprise Systems (ES)","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132587826","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}
Xianghong Tian, Jie Kong, Tianqing Zhu, Haiyang Xia
{"title":"Discovering Learning Patterns of Male and Female Students by Contrast Targeted Rule Mining","authors":"Xianghong Tian, Jie Kong, Tianqing Zhu, Haiyang Xia","doi":"10.1109/ES.2016.32","DOIUrl":"https://doi.org/10.1109/ES.2016.32","url":null,"abstract":"In recent years, data mining techniques has attracted the attention from educational researchers and applied in educational research pervasively. As a famous data mining method, traditional association rules mining tend to ignore the infrequent data item and can only analyze a single dataset. To address these issues, a contrast targeted rule mining model is introduced in this paper. A complete analysis for the patterns and differences in the academic situation of male and female students is then conducted by the contrast targeted rule mining. Some useful association rules extracted by CTR are presented to demonstrate the difference of male and female students' learning patterns.","PeriodicalId":184435,"journal":{"name":"2016 4th International Conference on Enterprise Systems (ES)","volume":"119 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123247800","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":"Applying Visual Analytics on Traditional Data Mining Process: Quick Prototype, Simple Expertise Transformation, and Better Interpretation","authors":"Xiao Zhu, Guandong Xu","doi":"10.1109/ES.2016.34","DOIUrl":"https://doi.org/10.1109/ES.2016.34","url":null,"abstract":"Due to a lack of experience, business might not be confident about the completeness of their proposed data mining (DM) project objectives at early stage. Besides, business domain expertise usually shrinks when delivered to data analysts. This expertise ought to contribute more throughout whole project. In addition, the outcome from DM project might fail to transform into actionable advice as the interpretation for the outcome is hard to understand and, as a result, unconvincing to apply in real. To fill the above three gaps, Visual Analytics (VA) tools are applied in different stages to optimize traditional data analytics process. In my practice, VA tools have offered both an easy access to generate quick insights for evaluating project objective's viability, and a bidirectional channel between data analysts and stakeholders to break the background barrier. Consequently, more applicable outcomes and better client satisfaction are gained.","PeriodicalId":184435,"journal":{"name":"2016 4th International Conference on Enterprise Systems (ES)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133803357","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 Novel and Complete Framework for Face Recognition with Pose Variations Using a Single Image","authors":"Minghua Zhao, Rui Mo, Yonggang Zhao, Zhenghao Shi","doi":"10.1109/ES.2016.33","DOIUrl":"https://doi.org/10.1109/ES.2016.33","url":null,"abstract":"A novel and complete framework for face recognition with pose variations using only one image is proposed in this paper. Firstly, feature points on face images are located with view-based AAM (Active Appearance Model), based on which, alignment and normalization are operated on face images. Secondly, mapping from non-frontal images to frontal images is constructed based on the algorithm of linear regression and frontal images are obtained from images with different poses. Finally, genetic algorithm is used to determine parameters of SVM that is applied to classify the facial features after dimension reduction. Experiments based on face database of CAS-PEAL-R1 show that performance of our proposed framework is better than other approaches for face recognition with pose variations. Recognition rates for face images with rotation of 15 degree, 30 degree and 45 degree can reach 98%, 84% and 76% respectively.","PeriodicalId":184435,"journal":{"name":"2016 4th International Conference on Enterprise Systems (ES)","volume":"134 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133752845","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":"Influence in Social Media Marketing: A Quantitative Evaluation Framework from a Large Scale of Empirical Evidence","authors":"Junjie Song, N. Jamous, K. Turowski","doi":"10.1109/ES.2016.24","DOIUrl":"https://doi.org/10.1109/ES.2016.24","url":null,"abstract":"Social media creates a novel marketing mechanism to boost opinion formation and information diffusion. As a crucial idea, social influence sheds light on individuals' features in the process of communicating brand stories, and changes other consumers' opinions and behavior. Social media marketing has drawn great interests from scholars in a past decade, but the extant work neglects to establish an effectively quantitative evaluation framework that bridges the gap between the research findings and actual scenes. By scratching a large amount of empirical data, a set of taxonomy methods for extremely imbalanced examples in terms of statistics and relationship analysis have been proposed. The research performance reveals that the inequality social media distribution presents in multiaspects and multiple levels, and our study can precisely classify individuals having diverse social influence into different groups in which individuals possess common characteristics of social influence.","PeriodicalId":184435,"journal":{"name":"2016 4th International Conference on Enterprise Systems (ES)","volume":"104 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129363916","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}