An Energy-Efficient and Reliable Data Transmission Scheme for Transmitter-based Energy Harvesting Networks

Energy harvesting technology has been studied to overcome a limited power resource problem for a sensor network. This paper proposes a new data transmission period control and reliable data transmission algorithm for energy harvesting based sensor networks. Although previous studies proposed a communication protocol for energy harvesting based sensor networks, it still needs additional discussion. Proposed algorithm control a data transmission period and the number of data transmission dynamically based on environment information. Through this, energy consumption is reduced and transmission reliability is improved. The simulation result shows that the proposed algorithm is more efficient when compared with previous energy harvesting based communication standard, Enocean in terms of transmission success rate and residual energy.This research was supported by Basic Science Research Program through the National Research Foundation by Korea (NRF) funded by the Ministry of Education, Science and Technology(2012R1A1A3012227)

Surveillant institutional eyes in South Korea

노트 : This article was originally presented at the workshop, 10–11 February 2006, The Center for Interdisciplinary Research (ZiF), Bielefeld University, Germany

Framework to Enhance Teaching and Learning in System Analysis and Unified Modelling Language

Cowling, MA ORCiD: 0000-0003-1444-1563; Munoz Carpio, JC ORCiD: 0000-0003-0251-5510Systems Analysis modelling is considered foundational for Information and Communication Technology (ICT) students, with introductory and advanced units included in nearly all ICT and computer science degrees. Yet despite this, novice systems analysts (learners) find modelling and systems thinking quite difficult to learn and master. This makes the process of teaching the fundamentals frustrating and time intensive. This paper will discuss the foundational problems that learners face when learning Systems Analysis modelling. Through a systematic literature review, a framework will be proposed based on the key problems that novice learners experience. In this proposed framework, a sequence of activities has been developed to facilitate understanding of the requirements, solutions and incremental modelling. An example is provided illustrating how the framework could be used to incorporate visualization and gaming elements into a Systems Analysis classroom; therefore, improving motivation and learning. Through this work, a greater understanding of the approach to teaching modelling within the computer science classroom will be provided, as well as a framework to guide future teaching activities

Business-IT alignment from operational level: empirical evidence from the Bank of Qingdao, China

Business-IT Alignment (BITA) has long been a significant topic for scholars as well as enterprise managers especially in the Internet era. Although numerous studies have identified the factors influencing the aligning process and relationships between them and organization successes from strategic perspective, few consider the impact of these elements on employees’s performances from an operational level. To fill this gap, this thesis first discusses the state-of-art and the challenges of BITA in China’s city commercial banks (CCBs) and further develops a theoretical framework to empirically evaluate the BITA in China banking industry. Finally, some recommendations for improving the level of BITA in China’s CCBs are provided. Taking the Bank of Qingdao (BQD) as a sample, this thesis empirically examines BITA maturity model with the results that five factors including communication, IT competency/value measurement, IT governance, partnership, and IT skills are positively related to the BITA while IT scope and architecture are not significant. In addition, the moderating effect of service quality between BITA and employee’s working performance is also supported by the survey. This study also develops a new theoretical model namely, business-IT punctuated equilibrium alignment model (BIPEAM), based on life cycle theory and punctuated equilibrium theory to describe the alternately leading roles between business and IT strategies. This model may contribute towards the better understanding of the mechanism of business-IT strategic alignment process from a longitudinal perspective within an enterprise.O alinhamento entre o negócio e as Tecnologias de Informação (TI) ou alinhamento business-IT (BITA) tem sido desde há muito um tópico significativo para académicos bem como para gestores de empresas, especialmente na era da Internet. Embora numerosas investigações tenham identificado os fatores que influenciam o processo de alinhamento e as relações entre eles e os sucessos da organização do ponto de vista estratégico, poucas consideram o impacto destes elementos no desempenho dos empregados a partir de um nível operacional. Para preencher esta lacuna, esta tese começa por discutir o estado da arte e os desafios do BITA nos bancos comerciais das cidades da China (CCBs) e desenvolve um quadro teórico para avaliar empiricamente o BITA na indústria bancária Chinesa. Por último, são fornecidas algumas recomendações para melhorar o nível de BITA nos CCBs da China. Tomando o Banco de Qingdao (BQD) como amostra, esta tese examina empiricamente o modelo de maturidade do BITA com os resultados de que cinco fatores, incluindo comunicação, competência/avaliação de TI, governação de TI, parceria, e competências de TI estão positivamente relacionados com o BITA enquanto que o âmbito e a arquitetura de TI não são significativos. Além disso, o efeito moderador da qualidade do serviço entre a BITA e o desempenho de trabalho do empregado é também apoiado pelo inquérito realizado. Este estudo também desenvolve um novo modelo teórico, nomeadamente o modelo de alinhamento de equilíbrio pontuado de business-IT (BIPEAM) baseado na teoria do ciclo de vida e na teoria do equilíbrio pontuado para descrever os papéis alternadamente de liderança entre as estratégias empresariais e de TI. Este modelo pode contribuir para uma melhor compreensão do mecanismo do processo de alinhamento estratégico entre empresas e as TI, a partir de uma perspetiva longitudinal dentro de uma empresa

Spatial Aided Decision-making System for E-Government

Non

Proceedings of the International Workshop "Innovation Information Technologies: Theory and Practice": Dresden, Germany, September 06-10.2010

This International Workshop is a high quality seminar providing a forum for the exchange of scientific achievements between research communities of different universities and research institutes in the area of innovation information technologies. It is a continuation of the Russian-German Workshops that have been organized by the universities in Dresden, Karlsruhe and Ufa before. The workshop was arranged in 9 sessions covering the major topics: Modern Trends in Information Technology, Knowledge Based Systems and Semantic Modelling, Software Technology and High Performance Computing, Geo-Information Systems and Virtual Reality, System and Process Engineering, Process Control and Management and Corporate Information Systems

On the high-quality development of “blockchain +” enabled smart tourism

Promoting the integrated application of blockchain technology and smart tourism is conducive to improving the efficiency of smart tourism public service platform and guiding the innovation of tourism public service mode; It is conducive to cultivating the new connotation of smart tourism development and activating the new driving force of tourism development; It is conducive to cultivating new forms of tourism and providing new opportunities for the development and transformation of tourism. Many regions have laid out tourism and smart tourism as demonstration application fields for the deep integration of blockchain and real economy. Its basic orientation is to build blockchain tourism platform, establish multi-party consensus mechanism, build blockchain tourism credit management system, expand application fields and enrich application scenarios. In order to accelerate the high-quality development of tourism enabled by “blockchain + smart tourism”: Firstly, accelerate the research, formulation and introduction of relevant policy implementation plans; secondly, build a smart tourism ecological engineering system supported by blockchain technology; thirdly, try to build a blockchain tourism credit management system to solve the market pain points; fourthly, focus on promoting tourism consumption blockchain points to build a global tourism chain.

Adaptive firefly algorithm for hierarchical text clustering

Text clustering is essentially used by search engines to increase the recall and precision in information retrieval. As search engine operates on Internet content that is constantly being updated, there is a need for a clustering algorithm that offers automatic grouping of items without prior knowledge on the collection. Existing clustering methods have problems in determining optimal number of clusters and producing compact clusters. In this research, an adaptive hierarchical text clustering algorithm is proposed based on Firefly Algorithm. The proposed Adaptive Firefly Algorithm (AFA) consists of three components: document clustering, cluster refining, and cluster merging. The first component introduces Weight-based Firefly Algorithm (WFA) that automatically identifies initial centers and their clusters for any given text collection. In order to refine the obtained clusters, a second algorithm, termed as Weight-based Firefly Algorithm with Relocate (WFAR), is proposed. Such an approach allows the relocation of a pre-assigned document into a newly created cluster. The third component, Weight-based Firefly Algorithm with Relocate and Merging (WFARM), aims to reduce the number of produced clusters by merging nonpure clusters into the pure ones. Experiments were conducted to compare the proposed algorithms against seven existing methods. The percentage of success in obtaining optimal number of clusters by AFA is 100% with purity and f-measure of 83% higher than the benchmarked methods. As for entropy measure, the AFA produced the lowest value (0.78) when compared to existing methods. The result indicates that Adaptive Firefly Algorithm can produce compact clusters. This research contributes to the text mining domain as hierarchical text clustering facilitates the indexing of documents and information retrieval processes