Demand response (DR) is a major contributor to grid stabilization during peak times. As the scope and functions of DR increase, DR participation of residential customers has attracted great attention. The main issue o...
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Demand response (DR) is a major contributor to grid stabilization during peak times. As the scope and functions of DR increase, DR participation of residential customers has attracted great attention. The main issue of DR design for the residential sector is to build an integrated network for exchange of DR signals between the utility operator and home users who want to participate in DR services at various locations. In this paper, we introduce an automated residential DR model based on advanced metering infrastructure (AMI) network. The internationally recognized standard protocol, known as the open automated demand response version 2.0 (OpenADR 2.0), is applied to realize a fully automated DR (ADR). In order to utilize existing AMI devices as ADR resources, the smart meter is modified while retaining current structure and functions, and various ADR devices are developed based on OpenADR 2.0 protocol. Simulation and demonstration tests are conducted to confirm conformance of the protocol and to verify load variations of home appliances under our ADR model. The developed software programs have obtained an international certification from the OpenADR Alliance.
In an interview, Cytel Inc co-founder and president Cyrus Mehta and co-founder, chairman and CTO Nitin Patel talked about their background, the challenges of developing and maintaining Cytel, and what they have learne...
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In an interview, Cytel Inc co-founder and president Cyrus Mehta and co-founder, chairman and CTO Nitin Patel talked about their background, the challenges of developing and maintaining Cytel, and what they have learned on their journey. Mehta said they are both from Bombay, India, and went to high school and undergraduate college in Bombay, followed by graduate studies at MIT. He got his bachelor's degree in Civil Engineering at the Indian Institute of Technology, Bombay, and my master's and PhD in Operations Research at MIT. Patel said one of the initiatives they started 15 years ago was setting up a softwaredevelopment team in India. The Indian Statistical Institute was established in 1931 by Professor P.C. Mahalanobis and since then, there has been a strong academic tradition in statistics in India. Mehta added that after about 15 years of exclusive reliance on software and NIH grants for their revenues, it became evident to him that they had to expand their business model if they wanted to grow.
This study focuses on a dynamic environment where data-intensive jobs and computing-intensive jobs are submitted to a grid at the same time. The authors analyse nine heuristic algorithms in a grid and give a compariso...
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This study focuses on a dynamic environment where data-intensive jobs and computing-intensive jobs are submitted to a grid at the same time. The authors analyse nine heuristic algorithms in a grid and give a comparison of them in a simulation environment. The nine heuristics are: (i) min-min, (ii) max-min, (iii) duplex, (iv) sufferage, (v) minimum execution time (MET), (vi) opportunistic load balancing (OLB), (vii) fast-fit, (viii) best-fit and (ix) adaptive scoring job scheduling (ASJS). In the simulation, different ratios between the data-intensive jobs and computing-intensive jobs are used to investigate for the performance of the nine heuristics under different arrival rates. Five parameters are used to estimate the performance of those methods. Those parameters include average execution time, average waiting time, the number of finished jobs (FB), the sum of file size that has been submitted to the grid (SFS) and the total number of instructions of all finished jobs (SINI). Simulation results show that four out of the nine heuristics have relative good performance in the job scheduling in the grid systems. They are best-fit, MET, ASJS and OLB.
In order to lower the technical threshold for creating and delivering Mobile Crowd Sensing Applications (MCSAs), several frameworks or toolkits have been developed, but they either fail to provide general support or s...
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In order to lower the technical threshold for creating and delivering Mobile Crowd Sensing Applications (MCSAs), several frameworks or toolkits have been developed, but they either fail to provide general support or still require relatively professional softwaredevelopment skills. Besides, the application delivery to the participants is not precise enough, because they only consider the constraints predefined by the organizers without taking the participant-side factors into account. In this paper, we propose a prototype toolkit for the organizers without softwaredevelopment skills to build MCSA in a rather quick and simple way. First, in terms of the application creation, it enables organizers to build MCSA by just doing some simple settings, which totally eliminates the requirement of programming skills. Second, in terms of the application delivery, it selects participants who are more likely to accept the created applications by mining their participation history. Finally, we demonstrate the expressiveness and usability for the application creation and evaluate the effectiveness of the willingness-based participant selection algorithm for the application delivery.
The software engineering and human-computer interaction (HCI) communities do not use the same methods, models and languages. This problem is more significant when they intend to work together to develop interactive ap...
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The software engineering and human-computer interaction (HCI) communities do not use the same methods, models and languages. This problem is more significant when they intend to work together to develop interactive applications, especially mixed reality systems;merging real and virtual worlds. In this context, it is necessary to develop a method for integrating software engineering and HCI practices and allowing an efficient collaboration between experts from different cultures of development. Essential principles and approaches are presented here to design mixed reality systems. The interaction specifications are integrated along the business process evolution to take into account the mixed reality interactions. Models and approaches are developed to highlight the relationships between business and interaction spaces. The proposed method is detailed and applied on a case study. The method is evaluated in a quantitative study using questionnaires involving designers, programmers and users. The evaluation, essentially, concerns the ease of use of the method and its effectiveness. It is concluded that the proposed method enables specialists from both domains to collaborate and synchronise their activities for integrating mixed reality features in the information systems design. Some improvements envisaged for the proposed work are presented.
The authors propose a state-based risk assessment methodology at the analysis and design stage of softwaredevelopment Life Cycle. First, a method is proposed to estimate the risk for various states of a component wit...
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The authors propose a state-based risk assessment methodology at the analysis and design stage of softwaredevelopment Life Cycle. First, a method is proposed to estimate the risk for various states of a component within a scenario and then, the risk for the whole scenario is estimated. The key data needed for risk assessment are complexity and severity. An Inter-Component State-Dependence Graph is introduced to estimate the complexity for a state of a component within a system. The severity for a component within a scenario is decided based on three hazard techniques: Functional Failure Analysis, software Failure Mode and Effect Analysis and software Fault Tree Analysis. The risk for a scenario is estimated based on the risk of interacting components in various states within the scenario and State COllaboration TEst Model of the scenario. Finally, the system risk is estimated based on two inputs: scenarios risks and Interaction Overview Diagram of the system. The methodology is applied on a Library Management System case study. An experimental comparative analysis is performed and observed that the testing team guided by our state-based risk assessment approach achieves high test efficiency compared with it with an existing component-based risk assessment approach.
RésuméRésuméLes environnements numériques d’apprentissage, particulièrement ceux qui offrent des capacités de représentations multiples, sont complexes dans leur fonctionnement...
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RésuméRésuméLes environnements numériques d’apprentissage, particulièrement ceux qui offrent des capacités de représentations multiples, sont complexes dans leur fonctionnement et dans leurs rapports aux mathématiques. C’est pour cela que les chercheurs sont maintenant sensibles à la nécessité d’un cadre didactique et ergonomique rendant compte des potentialités de ces environnements. La recherche présentée ici aborde Casyopée, un environnement logiciel géométrique et algébrique dédié à l’apprentissage des fonctions au lycée. Les situations d’apprentissage proposées visent à approcher la notion de fonction via la modélisation fonctionnelle des dépendances géométriques. Les résultats ont indiqué un développement conjoint de connaissances mathématiques sur les fonctions et de connaissances sur l’artefact pendant la genèse instrumentale, et ont montré comment l’utilisation régulière de l’artefact permet aux élèves d’articuler ces deux types de connaissances. Notre étude a éclairé les potentialités d’une Typologie d’activités pour l’enseignement et l’apprentissage des fonctions en environnements numériques d’apprentissage. Finalement, nous avons analysé comment l’usage de Casyopée peut faire émerger un co-développement des conceptions «processus» et «objet» et favoriser donc unecompréhension flexibledes *** learning environments, particularly ones that have the capacity for multiple representations, are complex in both their functioning and their relation to mathematics. For this reason, researchers are now aware of the need for an ergonomic and didactic framework that takes into account the possibilities offered by these environments. The research presented here discusses Casyopée, a geometric and algebraic software environment intended for the learning of functions at the upper secondary school level. The proposed instructional scenarios aim to introduce students to the notion of the function through the functional modelling of geometrical depend
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