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Keyword: AttributeA Framework for Measuring Workforce Agility: Fuzzy Logic Approach Applied in a Moroccan Manufacturing Company
In today’s Moroccan business environment, companies need to implement organization agility by developing an agile workforce that is able to deal with the environment volatility. Thus, the agile workforce concept has been appeared as a necessary and sufficient condition to achieve agility. Focusing on agile enablers influencing workforce agility is an important area but currently…
Read MoreRacial Categorization Methods: A Survey
Face explicitly provides the direct and quick way to evaluate human soft biometric information such as race, age and gender. Race is a group of human beings who differ from human beings of other races with respect to physical or social attributes. Race identification plays a significant role in applications such as criminal judgment and…
Read MorePerformance Effects of Algorithmic Elements in Selected MANETs Routing Protocols
Over time, several routing protocols have been suggested for use in Mobile Ad Hoc Networks (MANETs). Because of availability of so many MANETs routing protocols, network engineers and administrators face difficulties in identifying an appropriate routing protocol for a particular scenario. This challenge results from the unavailability of adequate technical analytic studies designed to examine…
Read MoreUsing Metaheuristics-Based Methods to Provide Sustainable Market Solutions, Suitable to Consumer Needs
Nowadays the buildings sector is one of the key sectors to achieve sustainability, with the correspondent consumers, in particular, the household consumers, having the need to perform sustainable choices every day, regarding the appliances to be acquired from the market. This is not only due to government’s growing concerns about sustainability but also with the…
Read MoreMulti Biometric Thermal Face Recognition Using FWT and LDA Feature Extraction Methods with RBM DBN and FFNN Classifier Algorithms
Person recognition using thermal imaging, multi-biometric traits, with groups of feature filters and classifiers, is the subject of this paper. These were used to tackle the problems of biometric systems, such as a change in illumination and spoof attacks. Using a combination of, hard and soft-biometric, attributes in thermal facial images. The hard-biometric trait, of…
Read MoreA Fuzzy-Based Approach and Adaptive Genetic Algorithm in Multi-Criteria Recommender Systems
Recommender Systems (RSs) are termed as web-based applications that make use of filtering methods and several machine learning algorithms to suggest relevant user objects. It can be said that some techniques are usually adopted or trained to develop these systems that generate lists of suitable recommendations. Conventionally, RS uses a single rating approach to preference…
Read MoreManaging and Optimizing Quality of Service in 5G Environments Across the Complete SLA Lifecycle
The 5G is the fifth generation of mobile broadband, cellular technologies, and networks that promises a major change in mobility by evolving connected business realities. In such an emerging environment, reliable Service Level Agreements (SLA) and anticipation of breaches of Service Level Objectives (SLO) become compulsory. Thus, guaranteeing the required service quality, while also ensuring…
Read MoreCritical Embedded Systems Development Using Formal Methods and Statistical Reliability Metrics
Trusted systems are becoming more integrated into everyday life. Security and reliability are at the forefront of trusted system design and are often directed at hardware-only solutions, especially for safety critical systems. This is because hardware has a well-established process for achieving strong, precise, and reliable systems. These attributes have been achieved in the area…
Read MoreSimulation-Optimisation of a Granularity Controlled Consumer Supply Network Using Genetic Algorithms
The decision support systems regarding the Supply Chains (SCs) management services can be significantly improved if an effective viable method is utilised. This paper presents a robust simulation optimisation approach (SOA) for the design and analysis of a granularity controlled and complex system known as Consumer Supply Network (CSN) incorporating uncertain demand and capacity. Minimising…
Read MoreA Novel Technique for Enhancing Color of Undersea Deblurred Imagery
Exploring the ocean underneath has always been an area of great scientific and environmental concern. However, the study of underwater environment was very difficult due to the extreme conditions. Undersea descriptions undergo severe distortion attributed to absorptive as well as scattering properties. Absorption substantially removes illumination, whereas a ray of light redirected in several path…
Read MoreHolistic Access Control and Privacy Infrastructure in Distributed Environment
This article discusses IoT security in situations whereby devices do not share the same security domains, which raises security, privacy and safety concerns. It then presents an Access Control and Privacy infrastructure for addressing these concerns in the context of distributed environments. IoT deployments allow billions of connected physical devices to collect, process and share…
Read MoreTowards an Efficient Federated Cloud Service Selection to Support Workflow Big Data Requirements
Cloud Computing is considered nowadays an attractive solution to serve the Big Data storage, processing, and analytics needs. Given the high complexity of Big Data workflows and their contingent requirements, a single cloud provider might not be able alone to satisfy these needs. A multitude of cloud providers that offer myriad of cloud services and…
Read MoreCancer Mediating Genes Recognition using Multilayer Perceptron Model- An Application on Human Leukemia
In the present article, we develop multilayer perceptron model for identification of some possible genes mediating different leukemia. The procedure involves grouping of gene based correlation coefficient and finally select of some possible genes. The procedure has been successfully applied three human leukemia gene expression data sets. The superiority of the procedure has been demonstrated…
Read MoreSystematic Tool Support of Engineering Education Performance Management
Engineering schools must adopt or develop their own systems and processes for graduate attribute assessment. In this paper, we take a systems engineering approach to graduate attribute assessment and propose a system architecture and tool-supported continuous improvement process with key algorithms and mathematical analysis to process the data and provide performance management reporting. Over several…
Read MoreMeasuring modifiability in model driven development using object oriented metrics
Model driven development is an important role in software engineering. It consists of multiple transformation functions. This development is a paradigm for writing and implementing computer program quickly, effectively, at minimum cost and reducing development efforts because it transforms design model to object-oriented code. Our approach is rule-based model driven development in which textual Umple…
Read MoreApplying Machine Learning and High Performance Computing to Water Quality Assessment and Prediction
Water quality assessment and prediction is a more and more important issue. Traditional ways either take lots of time or they can only do assessments. In this research, by applying machine learning algorithm to a long period time of water attributes’ data; we can generate a decision tree so that it can predict the future…
Read MoreA Taxonomy for Enhancing Usability, Flexibility, and Security of User Authentication
Two technology trends – a move toward software defined capabilities and toward networked devices – support both unprecedented innovations and requirements for security. A fundamental aspect of security is user authentication, which allows devices and software applications to establish their user’s identity and identity is in turn used to establish which of its capabilities the…
Read MoreSoft Handoff Evaluation and Efficient Access Network Selection in Next Generation Cellular Systems
The increased motivation (by service providers) to offer user-centric and seamless communication services – that satisfies users’ quality of experience (QoE), has manifested a myriad of challenges in the field of wireless communication; and given the increased traffic capacity and sudden explosion of cellular devices, communication systems are constantly threatened by performance related issues –…
Read MoreEmbedded C Programming Using FRDM to Enhance Engineering Students’ Learning Skill
Computer programming course that utilizes languages such as C/C++ is always packed with dreary syntax details that consume most of the students’ learning time to obtain ‘grammatically’ correct source code. Consequently, it is difficult for most of the students to apply the theory they have learned in a real life context. Thus, this project proposed…
Read MorePerformance Evaluation of Associative Classifiers in Perspective of Discretization Methods
Discretization is the process of converting numerical values into categorical values. Contemporary literature study reveals that there are many techniques available for numerical data discretization. The performance of classification method is dependent on the exploitation of the data discretizing method. In this article, we investigate the effect of discretization methods on the performance of associative…
Read MoreApplications of Case Based Organizational Memory Supported by the PAbMM Architecture
In the aim to manage and retrieve the organizational knowledge, in the last years numerous proposals of models and tools for knowledge management and knowledge representation have arisen. However, most of them store knowledge in a non-structured or semi-structured way, hindering the semantic and automatic processing of this knowledge. In this paper we present a…
Read MoreA Web-Based Decision Support System for Evaluating Soil Suitability for Cassava Cultivation
Precision agriculture in recent times had assumed a different dimension in order to improve on the poor standard of agriculture. Similarly, the upsurge in technological advancement, most especially in the aspect of machine learning and artificial intelligence, is a promising trend towards a positive solution to this problem. Therefore, this research work presents a decision…
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