Energy-Effective Communication Based on Compressed Sensing
Issue:
Volume 5, Issue 6, December 2016
Pages:
121-127
Received:
5 November 2016
Accepted:
22 November 2016
Published:
8 December 2016
Abstract: In order to improve energy-effect, Compressed Sensing has been employed gradually in the process of collaborative communication. For practical applications, localized features of local area are further considered in this technology, which is called classification CS. However, collaborative methods in current literatures are not so suitable in this scene that the advantages of CS could not be benefit. In this paper, a novel collaborative communication mechanism based on classification CS is proposed for actual environments. An effective collaborative transmission mode based on classification is presented, in which energy cost reduce effectively in the process of transmission and the reconstructed signals could reach at least the theoretical low bound to avoid redundant samplings. In experiments, our mechanism has been proved valuable and feasible in realistic applications.
Abstract: In order to improve energy-effect, Compressed Sensing has been employed gradually in the process of collaborative communication. For practical applications, localized features of local area are further considered in this technology, which is called classification CS. However, collaborative methods in current literatures are not so suitable in this ...
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Context-Awareness and Learning Fusion Method of Fluid Property Sensor Networks Based on Fuzzy Entropy
Zequn Zhu,
Zhuye Zhang,
Sansan Xiao,
Jiangxia Zou,
Xinyu Hou,
Zhengying Cai
Issue:
Volume 5, Issue 6, December 2016
Pages:
128-138
Received:
24 October 2016
Accepted:
7 November 2016
Published:
26 December 2016
Abstract: Fluid sensor network is very difficult to make context-awareness and learning fusion because there is a variety of complex dynamic uncertainties involved ranging from information redundancy, information complementary, to information instability. This paper introduces a fuzzy entropy method into context-awareness and learning fusion method of fluid property sensor networks. First, the architecture of fluid property sensor network is analyzed, and based on it the context characteristics are described. Second, by the introduction of fuzzy entropy, the learning fusion method of fluid property sensor networks is proposed, where the fusion hierarchy of context information is discussed and the fusion algorithm is also illustrated. Third, an example is presented for verification of the proposed model, where the multiple sensor information fusion based on fuzzy logic analysis method can effectively tackle uncertain information. At last, some interesting conclusions are carried out and future researching directions are also indicated at the end of the paper.
Abstract: Fluid sensor network is very difficult to make context-awareness and learning fusion because there is a variety of complex dynamic uncertainties involved ranging from information redundancy, information complementary, to information instability. This paper introduces a fuzzy entropy method into context-awareness and learning fusion method of fluid ...
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Adoption of Code Restructuring to Enhance Full Cycle End-to-End Integrated Financial Management Information System in the Public Sector in Kenya: A Review Paper
Issue:
Volume 5, Issue 6, December 2016
Pages:
139-145
Received:
18 November 2016
Accepted:
3 December 2016
Published:
9 January 2017
Abstract: This paper reviewed literature on adoption of Code Restructuring in enhancing adoption of Full Cycle End-To-End Integrated Financial Management Information System (IFMIS) in Kenyan Public Sector. The paper reviewed literature published both in Kenya and in other Nations to establish if Code Restructuring can be used to enhance adoption of Full Cycle End-To-End Integrated Financial Management Information System in the public sector in Kenya. The study established that effective adoption of IFMIS has been hindered by poor Information, Communication and Technology (ICT) infrastructure and structure. The study revealed that Code restructuring can be used to enhance quality of IFMIS outcome. Code restructuring can enhance performance of IFMIS applications and interfaces to levels needed to achieve Full Cycle End-To-End IFMIS. In addition, code restructuring can be used to solve system based problems commonly faced in reengineering of IFMIS to a Full Cycle End-To-End IFMIS. The study also established that other factors such as management support, staff training, integration and communication system and stakeholder acceptance are critical determinants of successful adoption of IFMIS. The study recommends that a survey be done in Kenya to assess whether code restructuring can be used to achieve successful Full Cycle End-To-End IFMIS given the conditions and challenges unique to Kenyan public sector.
Abstract: This paper reviewed literature on adoption of Code Restructuring in enhancing adoption of Full Cycle End-To-End Integrated Financial Management Information System (IFMIS) in Kenyan Public Sector. The paper reviewed literature published both in Kenya and in other Nations to establish if Code Restructuring can be used to enhance adoption of Full Cycl...
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