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Keyword: SelectionA novel mixed-mode universal biquad employing plus current output DVCCs
This paper refers to a novel mixed-mode universal biquad employing plus current output differential voltage current conveyors with grounded passive components. The circuit performs mixed-mode operation with the selection of the input and output terminals, and it enables low-pass, band-pass, high-pass, band-stop and all-pass responses choosing suitable input signals. The circuit needs no component matching…
Read MoreEffectiveness of Routing Protocols for Different Networking Scenarios
Selection of a routing protocol is vital for modern arena of Internet communication as network traffic and network complexities are rapidly increasing. This paper evaluates the effectiveness of three routing protocols namely routing information protocol version 2 (RIPv2), open shortest path first (OSPF), enhanced interior gateway routing protocol (EIGRP), and hybrid protocols based on these…
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 MoreEstimation of digital protection devices applicability on basis of multiple characterizing parameters
The contemporary electrical power systems (EPS) impose increased requirements for the functionality of the protection systems. The necessity of improved EPS stability is in some extent resulting of the increased integration of renewable sources of electrical energy. The future grid development gives perspective for connection of more converter based generations. The power electronic schemes and…
Read MoreImproving System Reliability Assessment of Safety-Critical Systems using Machine Learning Optimization Techniques
Quality assurance of modern-day safety-critical systems is continually facing new challenges with the increase in both the level of functionality they provide and their degree of interaction with their environment. We propose a novel selection method for black-box regression testing on the basis of machine learning techniques for increasing testing efficiency. Risk-aware selection decisions are…
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 MoreDistributing the computation in combinatorial optimization experiments over the cloud
Combinatorial optimization is an area of great importance since many of the real-world problems have discrete parameters which are part of the objective function to be optimized. Development of combinatorial optimization algorithms is guided by the empirical study of the candidate ideas and their performance over a wide range of settings or scenarios to infer…
Read MoreDesign of Cognitive Radio Database using Terrain Maps and Validated Propagation Models
Cognitive Radio (CR) encompasses a number of technologies which enable adaptive self-programing of systems at different levels to provide more effective use of the increasingly congested radio spectrum. CRs have potential to use spectrum allocated to TV services, which is not used by the primary user (TV), without causing disruptive interference to licensed users by…
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 MoreHybrid Ontology-based knowledge with multi-objective optimization model framework for Decision Support System in intercropping
The problem of multi-criteria or multi-objective intercropping crop planning makes it vital to consider all related factors under the constraints that will produce the highest revenue and minimum cost. Principles of intercropping elements including soil type, plant area, plant diseases, planting and harvesting time and economics factors (e.g. price, cost) are some of the factors…
Read MoreA Category Based Threat Evaluation Model Using Platform Kinematics Data
Command and control (C2) systems direct operators to make accurate decisions in the stressful atmosphere of the battlefield at the earliest. There are powerful tools that fuse various instant piece of information and brings summary of those in front of operators. Threat evaluation is one of the important fusion method that provides these assistance to…
Read MoreApplied Horizontal and Vertical Geothermal Heat Exchanger with Heat Pump System to Provide Air Conditioning for an Academic Facility in Mexico
At present in Mexico, the renewable energy has become more important due to the great dependence of the country for fossil fuels. Within the several applications of renewable energy, there are the geothermal applications for the air conditioning of spaces. This technology employs heat pumps that interexchange heat with the ground. This technology is relatively…
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 MoreSelf-Organizing Map based Feature Learning in Bio-Signal Processing
Feature extraction is playing a significant role in bio-signal processing. Feature identification and selection has two approaches. The standard method is engineering handcraft which is based on user experience and application area. While the other approach is feature learning that based on making the system identify and select the best features suit the application. The…
Read MorePerformance of Surge Arrester Installation to Enhance Protection
The effects of abnormal voltages on power system equipment and appliances in the home have raise concern as most of the equipments are very expensive. Each piece of electrical equipment in an electrical system needs to be protected from surges. To prevent damage to electrical equipment, surge protection considerations are paramount to a well designed…
Read MoreDevelopment of a Motorized Afifia Mowing Machine Design for Controlling Environmental Conservation and Menace for Home Use
Technology has become more affordable and penetrates every aspect of daily life, even in developing country like Nigeria. However many of the users in developing countries are still finding difficulty in using the technologies due to lack of experience as they undergo a technology leap. The aim of this research work explores the approach in…
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