5975 research outputs found
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Novel Bacteria Foraging Optimization for Energy-Efficient Communication in Wireless Sensor Network
No full textOptimization techniques based on Swarm-intelligence has been reported to have significant benefits towards addressing communication issues in Wireless Sensor Network (WSN). We reviewed the most dominant swarm intelligence technique called as Bacteria Foraging Optimization (BFO) to find that there are very less significant model towards addressing the problems in WSN. Therefore, the proposed paper introduced a novel BFO algorithm which maintains a very good balance between the computational and communication demands of a sensor node unlike the conventional BFO algorithms. The significant contribution of the proposed study is to minimize the iterative steps and inclusion of minimization of both receiving / transmittance power in entire data aggregation process. The study outcome when compared with standard energy-efficient algorithm was found to offer superior network lifetime in terms of higher residual energy as well as data transmission performance
Design and Analysis of Routing protocol for Cognitive Radio Ad Hoc Networks in Heterogeneous Environment
No full textMulti-hop routing protocol in cognitive radio mobile ad hoc networks (CRMANETs) is a critical issue. Furthermore, the routing metric used in multi-hop CRMANETs should reflect the bands availability, the links quality, the PU activities and quality of service (QoS) requirements of SUs. For the best of our knowledge, many of researchers investigated the performance of the different routing protocols in a homogeneous environment only. In this paper, we propose a heterogeneous cognitive radio routing protocol (HCR) operates in heterogeneous environment (i.e. the route from source to destination utilize the licensed and unlicensed spectrum bands). The proposed routing protocol is carefully developed to make a tradeoff between the channel diversity of the routing path along with the CRMANETs throughput. Using simulations, we discuss the performance of the proposed HCR routing protocol and compare it with the AODV routing protocol using a discrete-event simulation which we developed using JAVA platform
PORM: Predictive Optimization of Risk Management to control Uncertainty Problems in Software Engineering
No full textIrrespective of different research-based approaches toward risk management, developing a precise model towards risk management is found to be a computationally challenging task owing to critical and vague definition of the origination of the problems. This research work introduces a model called as PROM i.e. Predictive Optimization of Risk Management with the perspective of software engineering. The significant contribution of PORM is to offer a reliable computation of risk analysis by considering generalized practical scenario of software development practices in Information Technology (IT) industry. The proposed PORM system is also designed and equipped with better risk factor assessment with an aid of machine learning approach without having more involvement of iteration. The study outcome shows that PORM system offers computationally cost effective analysis of risk factor as assessed with respect to different quality standards of object oriented system involved in every software projects
Expert System Based on Fuzzy Logic: Application on Faults Detection and Diagnosis of DFIG
No full textLa production d'énergie électrique basée sur l'énergie éolienne gagne la place en tant que ressources renouvelables au cours des dernières années à cause de l'énergie propre avec un coût minimum. Le principal défi pour les éoliennes réside dans les pannes électriques et mécaniques qui peuvent survenir à tout moment et causer des dommages, ce qui entraîne des temps d'arrêt de la machine et des pertes de production d'énergie. Pour éviter ce problème, plusieurs méthodes ont été développées et utilisées. Dans cet article, nous avons proposé un système basé sur la logique qui peut détecter et diagnostiquer les défauts de DFIG via les signatures du courant Stator. Le système d'inférence floue exploite les valeurs quadratiques des règles du stator selon les règles de l'expert pour diagnostiquer l'état du DFIG. Le système expert proposé est vérifié à l'aide des simulations effectuées sous Matlab / Simulink. Les résultats sont très intéressants et présentent l'efficacité de la stratégie proposé
Effect of dust accumulation on the performance of photovoltaic panels in desert countries: A case study for Madinah, Saudi Arabia
No full textThe present research shows the effect of dust accumulation on the surface of photovoltaic (PV) modules, which cause losses in their output power. We got 28% of losses in output power at Madinah city during 60 days of dust accumulation. Two ways were used to study the effect of dust on the PV modules of type monocrystalline silicon: the quantitative and the qualitative approaches respectively. A model based on dust density is used to determine the losses of output PV power. We propose to add an important parameter noted dust accumulation coefficient (%/mg.cm-2), in data sheet of PV modules manufacturer. In addition, an intelligent cleaning system is proposed, using the notion of dust density, to start cleaning when an admissible value of power losses is reached. This process allows minimizing the effect of dust.
Establishment of Standard Reference Environment for Photovoltaic Nominal Operating Cell Temperature Testing with Dedicated Approach for Tropical Region
No full textThis paper presents the establishment of Standard Reference Environment (SRE) for photovoltaic (PV) Nominal Operating Cell Temperature (NOCT) testing in Malaysia representing one of the countries that lies in tropical region. From a field testing conducted, 12-months data of six parameters namely solar irradiance (SI), ambient temperature (AT), relative humidity (RH), wind speed (WS), wind direction (WD), module temperature (MT) and open circuit voltage were analysed to determine the median SI and the median AT. From the analysis, the median SI and the median AT are 228 W/m2 and 30 °C respectively. However, these results show that the current approach in determining SRE using median ambient parameters is not suitable for tropical Malaysia based on the percentage error of approximately 30 %. Due to this, the proposed approach applied in this study is determining the corresponding AT of the same SI (800 W/m2) used in present SRE of international standard. Thus, the new proposed SI and AT for SRE in this study are 800W/m2 and 31°C respectively. The SRE found in this study is determined using dedicated approach to suit tropical climate in deriving a more accurate NOCT for tropical region
Adaptation Meta-Cognitive as an Educational Tool: Animated Puzzle
No full textStudents need to be equipped with high order thinking skill in order to prepare them with future world. Eventhough variety of programs on teaching high order thinking skills has been implemented formally in schools in Malaysia and also placed in the school curriculum, the results are not to the satisfactory. This research is proposing a suitable educational tool which can increase higher thinking skills among students. Keeping in mind that learning is a conceptualized multidimensional development involving three components: cognitive learning achievement, meta-cognition and motivation, an educational game with Meta-cognitive activity is proposed. An animated puzzle game that adapts acitivities that enables to nurture meta-cognitive skills has been developed and tested. Heuristic testing and functionality testing has been done towards the project prototype and positive results has been obtained. An enhancement of prototype will embark a new perspective of educational mechanism and could improve students higher order thinking skills capability
Temperature Based Control of Ventilation System for Optimum Climate in Tomato Greenhouse
No full textTomato has been grown successfully in highlands of Malaysia. However, the production does not meet the demand in the large market due to problem related to climate change and lack of smart control mechanism for the tomato crop to grow healthily in the micro climate. Tomato requires optimum temperature to ensure a good quality fruit production especially under greenhouse system environment. This paper presents an optimum control mechanism for ventilation system in a greenhouse to minimize the energy consumption and meet the temperature requirement for lowland tomato. The control mechanism is tested on a tomato greenhouse system located in Universiti Putra Malaysia (UPM), Serdang. The ventilation system in the greenhouse comprises of six exhaust fans and two axial fans. Results show that the proposed control mechanism on the ventilation system is able to maintain the desired temperature for lowland tomato at lower energy consumption. With the automatic control of the ventilation system, an average of 65.8% of energy consumption was saved from the greenhouse as compared to baseline energy without the control system
A Context-based Numeral Reading Technique for Text to Speech Systems
No full textThis paper presents a novel technique for context based numeral reading in Indian language text to speech systems. The model uses a set of rules to determine the context of the numeral pronunciation and is being integrated with the waveform concatenation technique to produce speech out of the input text in Indian languages. For this purpose, the three Indian languages Odia, Hindi and Bengali are considered. To analyze the performance of the proposed technique, a set of experiments are performed considering different context of numeral pronunciations and the results are compared with existing syllable-based technique. The results obtained from different experiments shows the effectiveness of the proposed technique in producing intelligible speech out of the entered text utterances compared to the existing technique even with very less storage and execution time
A Novel Nonlinear Control of Boost Converter using CCM Phase Plane
No full textBoost converter is one of fundamental DC-DC converters and used to deliver electric power with boosted voltage in many electrical systems. Several control strategies have been applied to control a boost converter delivering a constant output voltage. Generally, boost converter works in two modes; one is called a Continuous Conduction Mode (CCM). Many researches use CCM model in the controller design, but they never ensure that the controller always works in CCM. This paper proposes novel nonlinear controller of boost converter designed using the modification of flow in phase plane. The proposed controller guarantees that the boost converter works only in CCM region. The simulation result confirms that our proposed controller brings the state variables from any initial point to a desired operating point successfully