Advanced Materials Research
Vol. 911
Vol. 911
Advanced Materials Research
Vol. 910
Vol. 910
Advanced Materials Research
Vol. 909
Vol. 909
Advanced Materials Research
Vol. 908
Vol. 908
Advanced Materials Research
Vol. 907
Vol. 907
Advanced Materials Research
Vol. 906
Vol. 906
Advanced Materials Research
Vol. 905
Vol. 905
Advanced Materials Research
Vol. 904
Vol. 904
Advanced Materials Research
Vol. 903
Vol. 903
Advanced Materials Research
Vol. 902
Vol. 902
Advanced Materials Research
Vol. 901
Vol. 901
Advanced Materials Research
Vol. 900
Vol. 900
Advanced Materials Research
Vol. 899
Vol. 899
Advanced Materials Research Vol. 905
DOI:
ToC:
Paper Title Page
Abstract: Cloud Computing has recently been recognized as one of the most emerging technology. A considerable amount of research has been carried out to explore different areas in Cloud Computing. This paper focuses on the QoS and new trends in cloud computing based on extant information systems literature, industry reports, and practical experience reflections. Additionally, it highlights the significance of DNS (Domain Name System) cloud computing QoS (Quality of Service) and its implications for practitioner and academics. This paper aims also to create higher performance and reliability, ensuring no DNS-related outages that could lead to poor customer experience and churn. Latency can also be reduced by ensuring adequate capacity as close as possible to the user. It concludes by outlining the opportunities associated with the development of Cloud Computing. Additionally, this type of technology needs more development and improvement in Saudi Arabia.
683
Abstract: Cloud computing has led to the development of IT to more sophisticated levels by improving the capacity and flexibility of data storage and by providing a scalable computation and processing power which matches the dynamic data requirements. Cloud computing has many benefits which has led to the transfer of many enterprise applications and data to public and hybrid clouds. However, many organizations refer to the protection of privacy and the security of data as the major issues which prevent them from adopting cloud computing. The only way successful implementation of clouds can be achieved is through effective enhancement and management of data security and privacy in clouds. This research paper analyzes the privacy and protection of data in cloud computing through all data lifecycle stages providing an overall perspective of cloud computing while highlighting key security issues and concerns which should be addressed. It also discusses several current solutions and further proposes more solutions which can enhance the privacy and security of data in clouds. Finally, the research paper describes future research work on the protection of data privacy and security in clouds.
687
Abstract: This research focuses on the major issues that weigh upon a hotel companys decision to implement cloud computing. In this study there was a random selection done for 15 hotels (5 hotels five stars chains, 5 franchised hotels 3 and 4 stars and 5 local hotels). The aim of this paper revolves to (I) Study and analyze the major issues have an impact on hotel companys decision to move to cloud computing. (II) Test the current benefits and implementing cloud computing in the hotel industry. (III) Test the positive and negative issues in adopting cloud computing. In additions, this type of technology is so new for the Middle East specifically in Saudi Arabia and GCC (Gulf Cooperative Countries), where the hotel industry is growing so fast and it is required a new technology to go along with it. The results showed that excluding the hotel chain which use clouding partially, the other 10 hotel of the sample either franchise or local do not implement this technology due to not having knowledge or they are not sure of the cost because of changing from system to another.
693
Abstract: In order to study the rule of deformation prediction of coal mining subsidence in three-dimensional space, it is necessary to establish a three-dimensional geological model. This paper introduced the idea, construction methods and key technologies of three-dimensional geological modeling based on block method and arbitrary boundary conditions by using of VC++ and OpenGL development environment. For the method to build three-dimensional model is simple and accurate. It can be used in the study of mining subsidence prediction and displaying of deformation and failure in the three-dimensional space.
697
Abstract: Hybrid genetic algorithm has been proposed in this paper, which is proposed by combining standard genetic algorithm with hill climbing to solve the unconstrained optimization problem, which can get global optimization results of the firepower assignment, and provide decision support for the firepower assignment.
702
Abstract: This study purpose was to investigate the customer interface combination preferences of tourist toward ecotourism destination website of Mt. Gede Pangrango National Park. Primary data resources obtained through the spread a questionnaire to youth tourists who several times visit this tourism destination and often observe its website. Data analysis techniques used is conjoint analysis. The results of this study show the customer interface attributes combination of preference base on 7 C framework are 1) Context of navigation, primary color, speed and layout. 2) Content attributes i.e. information, services, font, and picture. 3) Communication attribute are news letter, broadcast event, and contact placing. 4) Customization attribute of login and configuration. 5) Community group form. 6) Connection link to private management, government, NGO, private institution, community, related infrastructures. 7) Commerce attributes of registration consists of required preferences of user name, email address, and password combination.
706
Abstract: The paper introduces the concept and architecture of Web Services, analyzes principle and advantages of the information integration based on Web Services. An information integration framework is presented in view of ontology based on information integration thought of semantics, and the key point in the process is analyzed.
713
Abstract: Whether the quality of some leisure activity is high depends on the mastery of leisure skill. Sharing-education is more suitable for the elderly rather than teaching-education. The object of this study is the retired elderly of 50-70 in Hangzhou. Based on the social exchange theory, the study is aimed at the influence mechanism of leisure skills sharing intention as well as the attitude within the community. We find that the most significant factor affecting the sharing intention is altruism, then interdependence, then self-efficacy, then trust. While the influences of reciprocity, reputation, and skill-sharing effort on knowledge-sharing behavior intention are insignificant. The result can give guidance for the design of the local virtual community of leisure skill among the elderly.
717
The Study and Application of Middle School Teacher Evaluation System Based on Support Vector Machine
Abstract: In this paper, the Support Vector Machine (SVM) theory is applied to secondary school teachers evaluation systems. And the evaluation attributes of secondary school teachers are set in accordance with certain requirements. Through the use of sample data on the teacher evaluation system for a certain amount of training, we get a trained model, then evaluate and analyze the teachers data to be measured. This approach can make secondary school teachers assessment more accurate and reasonable, greatly reduce the workload of teaching management, and reduce the number of artificially errors in the evaluation process.
721
Abstract: Because the higher education has entered popularization stage, the contradiction between the unlimited demand for higher education resources of colleges and universities and the limited supply of resources becomes more and more prominent. Similarly, college sports resources is also limited. How to optimize the sports curriculum according to the students quality is a subject worthy of study. This paper proposes to study the students sport quality such as vital capacity, grip strength, enduranceuse using Pearson correlation and Kmeans clustering algorithm. It can provide guidance for sports education curriculum and teaching content. And we use 2013 freshmen sports test data of an university as example, the experiment proves that the present algorithm can effectively guide for curriculum set.
725