Abstract Big data analytics technologies are to extract value from very large data volume, variety of data, and highly rate of data stream. With the fast deployment of cloud services with mobile devices, big data analytics is shifting from personal computer to mobile devices. But, significant limitations of mobile devices are less storage amount and processing power. This paper proposes a big data analytic... Big data analytics technologies are to extract value from very large data volume, variety of data, and highly rate of data stream. With the fast deployment of cloud services with mobile devices, big data analytics is shifting from personal computer to mobile devices. But, significant limitations of mobile devices are less storage amount and processing power. This paper proposes a big data analytic platform on mobile cloud computing with efficient query execution time by developing MapReduce Transformation Process and query operation based on input query’s complexity level. Furthermore, this paper presents the process of RESTful web service for providing seamless connectivity between mobile devices and cloud storage, where store the data and all of necessary processing steps are done by cloud backend. This proposed platform is evaluated by using Census dataset and compared the result with other traditional high level query languages, such as Pig, Hive, and Jaql. Read More Read Less

Abstract This paper presents an automatic document processing system for the extraction of data which are illustrated in medical laboratory results printed on a paper. The final goal of the research is to make the collection of medical data automatic and to enable an efficient management and description of the information in a way that a patient or a senior medicine student can understand... This paper presents an automatic document processing system for the extraction of data which are illustrated in medical laboratory results printed on a paper. The final goal of the research is to make the collection of medical data automatic and to enable an efficient management and description of the information in a way that a patient or a senior medicine student can understand the document just like an expert physician. In order to reach the mentioned goals, following the forthcoming steps was necessary in the proposed method. (i) Image pre-preprocessing, (ii) layout analysis for the identification of the tables’ data contained in the document’ (iii) extraction and classification of the laboratory results using template matching and HoG features in combination with a Support Vector Machine (SVM). Providing information for the application user need to constructing a knowledge base in which the relevant information of Wikipedia is used. The proposed approach has been tested on several document formats and performance analysis shows its superiority as well as simplicity. Read More Read Less

Abstract The implementation of cluster-based SME e-commerce systems is a stage after analysis and design. However, although SEO could be operated and implemented, this stage cannot be regarded as perfect in fulfilling the development of information system. It is still too risky for the continuity of cluster-based e-commerce business in the future. It is because the lack of control, maintenance and development managements applied... The implementation of cluster-based SME e-commerce systems is a stage after analysis and design. However, although SEO could be operated and implemented, this stage cannot be regarded as perfect in fulfilling the development of information system. It is still too risky for the continuity of cluster-based e-commerce business in the future. It is because the lack of control, maintenance and development managements applied to e-commerce business with such cluster model. This study aims to develop a strategy for control, maintenance and development of cluster-based SME e-commerce so that the operation can run and grow continuously, the website materials or contents are updated, the stakeholders give more care, and it is stay safe, and SEO ranking continues to rise and occupy the main top range, thus, it is easy for customers to find. Control methods used include general control, e-commerce application control, controlling access to e-commerce systems, and administrative control with COSO approach. Maintenance methods are performed with preventive, corrective and perfective maintenances, with post-implementation development model using prototyping. The implementation of e-commerce Standards Operating and operating procedures is conducted so that e-commerce system control and maintenance is effective and reducing risk in its operations. Read More Read Less