Exploring an unknown environment using team of autonomous mobile robots is an important task in many real-world applications. Many existing map exploration algorithms are based on frontier, which is the boundary betwe...
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Spam detection is a significant problem which considered by many researchers by various developed strategies. Among many others, simple artificial immune system is one of those being proposed. There is a deficiency in...
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Spam detection is a significant problem which considered by many researchers by various developed strategies. Among many others, simple artificial immune system is one of those being proposed. There is a deficiency in number of optimization methods in simple artificial immune system (SAIS). This problem can be solved and eliminated using other optimization methods besides mutation. In this research, SAIS was hybridized by particle swarm optimization (PSO) for optimizing the performance of SAIS for spam filtering. PSO was used with mutation to reinforce the immune system's searches to find the best class in exemplar for classification. Achieved results represent the Hybrid SAIS and PSO is superior to that of a SAIS.
Research has shown that most learning in the workplace takes place outside of formal training and, given the swiftly changing nature of the field, computerscience graduates more than most workers, need to be able to ...
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Runtime testing is a common way to detect faults during normal system operation. To achieve a specific diagnostic coverage runtime testing is also used in safety critical, automotive embedded systems. In this paper we...
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To reduce the energy consumption and maximize the lifetime of the wireless sensor network (WSN), different techniques are developed to reduce the communication over WSN. However, it is also critical to discuss the ene...
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The analysis using Social Network Analysis (SNA) is focusing more on the number or the frequency of social interactions based on adjacency matrix. This method cannot be used to observe the semantic relationship among ...
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The analysis using Social Network Analysis (SNA) is focusing more on the number or the frequency of social interactions based on adjacency matrix. This method cannot be used to observe the semantic relationship among e-Learning components. Therefore, this paper aims to propose a new paradigm of Social Network Analysis (SNA) using ontology structure of Moodle e-Learning. By considering the relationship of ontology, we can understand the meaning of semantic relationship more deeply. The ontology of Moodle e-learning system for social network analysis will become great advantage to make measurement not only based on the matrix or number of interactions but also based on the semantic meaning of the relationships among users.
Cloud Federation is a recent paradigm that helps Infrastructure as a Service (IaaS) providers to overcome resource limitation during spikes in demand for Virtual Machines (VMs) by outsourcing requests to other federat...
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Cloud Federation is a recent paradigm that helps Infrastructure as a Service (IaaS) providers to overcome resource limitation during spikes in demand for Virtual Machines (VMs) by outsourcing requests to other federation members. IaaS providers also have the option of terminating spot VMs, i.e, cheaper VMs that can be canceled to free resources for more profitable VM requests. By both approaches, providers can expect to reject less profitable requests. For IaaS providers, pricing and profit are two important factors, in addition to maintaining a high Quality of Service (QoS) and utilization of their resources to remain in the business. For this, a clear understanding of the usage pattern, types of requests, and infrastructure costs are necessary while making decisions to terminate spot VMs, outsourcing or contributing to the federation. In this paper, we propose policies that help in the decision-making process to increase resources utilization and profit. Simulation results indicate that the proposed policies enhance the profit, utilization, and QoS (smaller number of rejected VM requests) in a Cloud federation environment.
Impaired people require additional attention by the people around them and also by the people who design artifacts and tools for them. We investigate the interaction design aspects of a wheelchair controller, develope...
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Impaired people require additional attention by the people around them and also by the people who design artifacts and tools for them. We investigate the interaction design aspects of a wheelchair controller, developed by embedded software engineers in the laboratory, according to the rules of physicality. The purpose of the study is to facilitate impaired people with ease of use while bridging the gap between human-computer interaction and embedded softwareengineering. By proposing Nintendo's Wiimote as wheelchair controller, we intend to produce intuitive, simple and natural interaction with the wheelchair.
The ability to predict reliability of the software during its architectural design not only helps in saving cost but also helps to improve its reliability. With the growing size and complexity of software applications...
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The ability to predict reliability of the software during its architectural design not only helps in saving cost but also helps to improve its reliability. With the growing size and complexity of software applications researchers have focused that how to get software reliability through its architecture. Architectural design phase is the stage where one can evaluate either the developed software will fulfill the requirements or not; that's why a highly reliable method is required to analyze and predict the software's architectural reliability. Reliability prediction at architecture level is a challenging task because the architecture reliability depends on the reliability of the individual component, their size, complexity, implemented technology and the interaction among the components. In this paper we have compared the existing reliability prediction models based on our criteria. The purpose is to discover that which one is the best and what is the shortcoming of these models. We also have suggested the research activities needed to overcome these shortcomings.
Nowadays, the significant advancement of mobile technologies has led to the possibility of accessing web services in a pervasive way and semantic web service discovery approaches seem to be the most promising approach...
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Nowadays, the significant advancement of mobile technologies has led to the possibility of accessing web services in a pervasive way and semantic web service discovery approaches seem to be the most promising approach to perform semantic matching. The proliferation of web services with similar functionalities is increasing rapidly. Thus, differentiation of the characteristics of web service offered has become more crucial. Without considering non-functional properties (NFPs) such as user requirement and quality standard of web services, it may result to irrelevant services to the users' need in mobile computing. Mobile users may discover unusable web services invoked, due to the device compatibility issues and lack of quality standard information in service description. This paper proposes WSMO-M(Mobile), an enhancement of WSMO to describe NFPs as a context and Quality of Web Service (QoWS) information for mobile computing environment. Initially, for annotating web service description, the context and QoWS models are specified by using Web Service Modeling Ontology (WSMO). Semantic matchmaking and degree of match calculation are also presented to define the importance of non-functional properties in mobile computing during the discovery and selection of web services. Finally, this paper demonstrates the applicability of the enhancement through a simple case study.
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