Vol 3, No 1 (Published)





DOI: http://dx.doi.org/10.18063/bdci.v3i1

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Table of Contents

Original Research Articles

by Rodrigo da Rosa Righi, Márcio Miguel Gomes, Cristiano Andrá da Costa, Helge Parzyjegla, Hans-Ulrich Heiss
186 Views, 117 PDF Downloads

The digital universe is growing at significant rates in recent years. One of the main responsible for this sentence is the Internet of Things, or IoT, which requires a middleware that should be capable to handle this increase of data volume at real-time. Particularly, data can arrive in the middleware in parallel as in terms of input data from Radio-Frequency Identification (RFID) readers as request-reply query operations from the users side. Solutions modeled at software, hardware and/or architecture levels present limitations to handle such load, facing the problem of scalability in the IoT scope. In this context, this arti- cle presents a model denoted Eliot - Elasticity-driven Internet of Things - which combines both cloud and high performance computing to address the IoT scal- ability problem in a novel EPCglobal-compliant architecture. Particularly, we keep the same API but offer an elastic EPCIS component in the cloud, which is designed as a collection of virtual machines (VMs) that are allocated and deallocated on-the-fly in accordance with the system load. Based on the Eliot model, we developed a prototype that could run over any black-box EPCglobal- compliant middleware. We selected the Fosstrak for this role, which is currently one of the most used IoT middlewares. Thus, the prototype acts as an upper layer over the Fosstrak to offer a better throughput and latency performances in an effortless way. The results are encouraging, presenting significant performance gains in terms of response time and request throughput when comparing both elastic (Eliot) and non-elastic (standard Fosstrak) executions.

 


Original Research Articles

by Chun-Hsiung Tseng, Jia-Rou Lin, Yung-Hui Chen
85 Views, 34 PDF Downloads

The importance of learning how to program can never be over-estimated. Even though there are already programming-learning applications for young children, most of the applications in this field are designed for children in the elementary school age or even above. Teaching younger children, for example, preschool kids, how to program appears more challenging. From our survey, it appears that even preschool kids can understand how to do programming and the question is simply which tools to use. Preschool kids usually start their reading from picture books. They learn mathematics, arts, histories, and a lot of knowledge with picture books. The goal of this research is to propose a platform for story tellers, illustrators, and programming education experts to cooperate to build picture books to teach preschool kids how to program. At this very initial stage, the platform is developed as a Web application and hence it can be easily accessed by various devices via Web browsers. The platform consists of a lean story editor, a picture book editor, and a programming concept editor.


Original Research Articles

by Hongwen Jin
29 Views, 10 PDF Downloads

The development of e-commerce economy has led to the emergence of new types of legal relationships. The promotion of administrative litigation models should be an approach to promote strengths and avoid weaknesses, whether online or offline. Exploring the advantages of the online litigation model can speed up the processing rate of administrative cases. Relying on big data will also help trial judges accurately locate administrative litigation cases and save judicial resources. Under the background of "Internet +", how to make full use of big data to further advance the online litigation model and solve the problems in judicial practice has become an urgent priority.


Original Research Articles

by Yushui Xiao, Feng Ling
38 Views, 11 PDF Downloads

Nowadays, Internet technology has been developed to a higher level, and has also gained more and more popularity in people's life and work. Internet technology has penetrated into many fields, providing more convenience for people. Judging from the current development momentum of China's e-commerce industry, fierce market competition and increasingly picky demand of customers, coupled with the gradual formation of online sales model, have all made the existing e-commerce industry face greater challenges, as well as opportunities worth taking advantage of. At present, relying on the rapid development of Internet and computer technology, the concept of "big data" has been popularized. Under the background of big data, every industry has undergone changes and improvement, especially the e-commerce industry, which can more accurately determine the consumers' consumption needs and habits, and can further understand their purchasing power, thus realizing accurate marketing, and strengthening its marketing reliability and pertinence.


Original Research Articles

by Xi Chen, Bo Fan, Jie Zheng, Hongyan Cui
12 Views, 8 PDF Downloads

At present, it has become a hot research field to improve production efficiency and improve life experience through big data analysis. In the process of big data analysis, how to vividly display the results of the analysis is crucial. So, this paper introduces a set of big data visualization analysis platform based on financial field. The platform adopts the MVC system architecture, which is mainly composed of two parts: the background and the front end. The background part is built on the Django framework, and the front end is built with html5, css3, and JavaScript. The chart is rendered by Echarts. The platform can realize the classification of customers' savings potential through bank data, and make portraits of customers with different savings levels. The data analysis results can be dynamically displayed and interact wit