IoT-enabled Smart Waste Disposal System: a Use Case for the Context Management Platform

Author(s):  
Alireza Hassani ◽  
Alexey Medvedev ◽  
Arkady Zaslavsky ◽  
Annamalai Saravanan
2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
Hong-Chan Chang ◽  
Shang-Chih Lin ◽  
Cheng-Chien Kuo ◽  
Hao-Ping Yu

This study endeavors to develop a cloud monitoring system for solar plants. This system incorporates numerous subsystems, such as a geographic information system, an instantaneous power-consumption information system, a reporting system, and a failure diagnosis system. Visual C# was integrated with ASP.NET and SQL technologies for the proposed monitoring system. A user interface for database management system was developed to enable users to access solar power information and management systems. In addition, by using peer-to-peer (P2P) streaming technology and audio/video encoding/decoding technology, real-time video data can be transmitted to the client end, providing instantaneous and direct information. Regarding smart failure diagnosis, the proposed system employs the support vector machine (SVM) theory to train failure mathematical models. The solar power data are provided to the SVM for analysis in order to determine the failure types and subsequently eliminate failures at an early stage. The cloud energy-management platform developed in this study not only enhances the management and maintenance efficiency of solar power plants but also increases the market competitiveness of solar power generation and renewable energy.


2018 ◽  
Vol 53 ◽  
pp. 04007
Author(s):  
Zhukui Tan ◽  
Lefeng Cheng ◽  
Chao Ding ◽  
Weifeng Xu ◽  
Zhengjia Li ◽  
...  

In order to facilitate the active identification capability of various types of electrical equipment, so as to enhance the functions such as the behavioural analysis and optimization control of electricity utilization in an automatic demand side management (DSM) system. A definition is given on load fingerprint based on operating characteristics of household appliances, as well as its architecture. In addition, based on the cyber-physical systems (CPS) technology, a hierarchical technical framework for load fingerprint management is proposed. This framework is a two-layer electricity utilization load fingerprint management platform, including local management and cloud-based management. Finally, two hardware prototypes are developed, including a socket-type smart collection terminal and an intelligent interactive concentrator with multiple communication technologies, which can provide strong hardware support for the realization of the hierarchical technical framework proposed in this paper.


2011 ◽  
Vol 55-57 ◽  
pp. 26-30
Author(s):  
Yong Ming Wang ◽  
Fei Han ◽  
Jin Zhong Yu

Along with the rapid development of network information technology, e-commerce is playing an important role, and it is urgent for small and medium-sized enterprises to participate in enterprise dynamic alliance. By using ASP.NET technology, this paper developed a web-based partner alliance management platform, and introduced its architecture and main functional modules. Some key technologies of this platform were discussed, including platform role description and use case analysis, partner evaluation and selection method, network security techniques of this platform and so on. Finally, an applied case of partner alliance management platform is given, which is beneficial to attract small and medium-sized enterprises to take part in enterprise dynamic alliance, thus can realize sharing and integration of resources information among them and improve their competitiveness.


2019 ◽  
Author(s):  
Michael Segundo Ortiz ◽  
Mengqian Wang ◽  
Kazuhiro Seki ◽  
Heejun Kim ◽  
Javed Mostafa

AbstractIn this work we present Publication Access Through Tiered Interaction & Exploration (PATTIE) – an information foraging, sense-making, and exploratory spatial-semantic information retrieval (IR) system (http://pattie.unc.edu/plos). Non-spatial, spatial IR systems, and some recent studies focused on their principal functions are discussed and compared. To interactively work through a use-case from the biomedical domain, instructions are provided for readers to conduct exploratory searches directly on the PLOS archive based on the software embedded in the online version of this paper (http://vzlib.unc.edu/software/). To carefully evaluate some of the critical parameters of the PATTIE algorithm, and the core functions of the implemented system, a set of experiments were conducted. Along with details on the experimental methods and their rationale, key findings from the experiments are analyzed and presented. Finally, with an eye toward the future of software-embedded scientific papers, their potential benefits for supporting direct engagement with scientific content, replication, and validation are discussed.


Sensors ◽  
2013 ◽  
Vol 13 (7) ◽  
pp. 8060-8078 ◽  
Author(s):  
David Buján ◽  
David Martín ◽  
Ortzi Torices ◽  
Diego López-de-Ipiña ◽  
Carlos Lamsfus ◽  
...  

2008 ◽  
Vol 27 (1) ◽  
pp. 15-30
Author(s):  
Alexander Smirnov ◽  
Nikolay Shilov ◽  
Alexey Kashevnik

Modern global companies have to build a supply chain network strategy that provides maximum flexibility and can optimally respond to changes in their environment. The emergence of automotive build-to-order production networks is one of the consequences of these changes in the automotive industry. Production networks can be seen as a step beyond the linear supply chain topography. However, when dealing with multiple organizations and multiple processes within a complicated production network, identifying and locating a member that has responsibility and/or competence in a particular part of the network can be a laborious, time-consuming process. Developing and maintaining a competence directory of all the relevant parties associated with troubleshooting and potential problem solving can significantly reduce the production lead time. Moreover, linking this directory to key decision points and frequent problems can further enhance its effectiveness. Consequently, the problem of semantic interoperability between members of such organizations is of major importance. This paper proposes an approach to developing a knowledge management platform for a build-to-order production network to solve the above problem. The approach is based on application of such technologies as ontology management, context management and profiling.


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