Indonesian Journal of Electrical Engineering and Informatics (IJEEI)
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Impact of Next Generation Cognitive Radio Network on the Wireless Green Eco system through Signal and Interference Level based K Coverage Probability
Get PDFLand mobile communication is burdened with typical propagation constraints due to the channel characteristics in radio systems.Also,the propagation characteristics vary form place to place and also as the mobile unit moves,from time to time.Hence,the tramsmission path between transmitter and receiver varies from simple direct LOS to the one which is severely obstructed by buildings, foliage and terrain. Multipath propagation and shadow fading effects affect the signal strength of an arbitrary Transmitter-Receiver due to the rapid fluctuations in the phase and amplitude of signal which also determines the average power over an area of tens or hundreds of meters. Shadowing introduces additional fluctuations, so the received local mean power varies around the area –mean. The present paper deals with the performance analysis of impact of next generation wireless cognitive radio network on wireless green eco system through signal and interference level based k coverage probability under the shadow fading effects
Music Recommendation System with User-based and Item-based Collaborative Filtering Technique
Get PDFInternet and E-commerce are the generators of abundant of data, causing information Overloading. The problem of information overloading is addressed by Recommendation Systems (RS). RS can provide suggestions about a new product, movie or music etc. This paper is about Music Recommendation System, which will recommend songs to users based on their past history i.e. taste. In this paper we proposed a collaborative filtering technique based on users and items. First user-item rating matrix is used to form user clusters and item clusters. Next these clusters are used to find the most similar user cluster or most similar item cluster to a target user. Finally songs are recommended from the most similar user and item clusters. The proposed algorithm is implemented on the benchmark dataset Last.fm. Results show that the performance of proposed method is better than the most popular baseline method
Salt Contamination Calculation in Insulators During Monsoon Using Artificial Neural Network
Get PDFControl framework consistent quality depends mostly on the natural and climate conditions which cause flashover on contaminated protectors. Such flashover prompts framework blackouts. Close to the beach front zones the salt pollution can be quickly based on the surface of the shields and frame a directing layer by retaining wet from the fog. This layer at times prompts flashover. Investigation of defilement of separator under marine contamination is the point of this examination, and the impacts of different meteorological elements on the disease seriousness have been researched altogether. In the present paper, an endeavour has been made to gauge the contamination severity under different climate conditions amid the stormy season utilising Artificial Neural Organize. The anomaly determination issue has been considered in this work to take out few exceedingly scattered exploratory information. The connection between ESDD with temperature T, stickiness H, weight P, precipitation R and wind speed WV has been created utilising ANN as a function estimator
Design of Model Predictive Controller for Pasteurization Process
Get PDFThis research paper is about developing a better type of controller, known as MPC (Model Predictive Control) for pasteurization process plant. MPC is an advanced control strategy that uses the internal dynamic model of the process and a history of past control moves and a combination of many different technologies to predict the future plant output.. The dynamics of the pasteurization process was estimated by using system identification from the experimental data. The quality of model structures like ARX, ARMAX, BJ and CT model structures was checked based on best fit with validation data, residual analysis and stability analysis. Auto-regressive with exogenous input (ARX322) model was chosen as a model structure of the pasteurization process dynamics and fits about 79.75% with validation data. Finally MPC control strategies were designed using ARX322 model structure.
Investigation of TTMC-SVPWM Strategies for Diode Clamped and Cascaded H-bridge Multi-level Inverter Fed Induction Motor Drive
Get PDFThis paper presents a concept of two types multilevel inverters such as diode clamped and cascaded H-bridge for harmonic reduction on high power applications. Normally, multilevel inverters can be used to reduce the harmonic problems in electrical distribution systems. This paer focused on the performance and analysis of a three phase seven level inverter including diode clamped and cascaded H-bridge based on new tripizodal triangular space vector PWM technique approaches. TTMC based modified Space vector Pulse width modulation technique so called tripizodal triangular Space vector Pulse width modulation (TTMC-SVPWM) technique. In this paper the reference sine wave generated as in case of conventional off set injected SVPWM technique. It is observed that the TTMC-Space vector pulse width modulation ensures excellent, close to optimized pulse distribution results and THD is compared to seven level, diode clamped and cascaded multi level inverters. Theoretical investigations were confirmed by the digital simulations using MATLAB/SIMULINK software
RSSI-based Human Presence Detection System for Energy Saving Automation
Get PDFWiFi facilitates computers and devices to connect with the Internet and each other using radio frequency signals that has Received Signal Strength Indicator or RSSI as its standard feature. With the use of RSSI value, a human presence detection technique to support energy saving by automating appliances is developed. It has attracted interest of researchers for its advantages like simplicity and low-cost. A system module that can detect the presence of human is achieved by designing and developing a device that utilizes off-the-shelves hardware, implementing a statistical analysis algorithm and by testing and evaluating the performance of the developed system in a real life environment. The result of the system module’s performance analysis in this research has shown 100% sensitivity, specificity and accuracy to the solution. The solution and approach can be used to support energy saving by automating appliances, resulting in a greener environment and a better financial efficiency
Intelligent Cooperative Adaptive Weight Ranking Policy via dynamic aging based on NB and J48 classifiers
Get PDFThe increased usage of World Wide Web leads to increase in network traffic and create a bottleneck over the internet performance. For most people, the accessing speed or the response time is the most critical factor when using the internet. Reducing response time was done by using web proxy cache technique that storing a copy of pages between client and server sides. If requested pages are cached in the proxy, there is no need to access the server. But, the cache size is limited, so cache replacement algorithms are used to remove pages from the cache when it is full. On the other hand, the conventional algorithms for replacement such as Least Recently Use (LRU), First in First Out (FIFO), Least Frequently Use (LFU), Randomised Policy, etc. may discard essential pages just before use. Furthermore, using conventional algorithms cannot be well optimized since it requires some decision to evict intelligently before a page is replaced. Hence, this paper proposes an integration of Adaptive Weight Ranking Policy (AWRP) with intelligent classifiers (NB-AWRP-DA and J48-AWRP-DA) via dynamic aging factor. To enhance classifiers power of prediction before integrating them with AWRP, particle swarm optimization (PSO) automated wrapper feature selection methods are used to choose the best subset of features that are relevant and influence classifiers prediction accuracy. Experimental Result shows that NB-AWRP-DA enhances the performance of web proxy cache across multi proxy datasets by 4.008%,4.087% and 14.022% over LRU, LFU, and FIFO while, J48-AWRP-DA increases HR by 0.483%, 0.563% and 10.497% over LRU, LFU, and FIFO respectively. Meanwhile, BHR of NB-AWRP-DA rises by 0.9911%,1.008% and 11.5842% over LRU, LFU, and FIFO respectively while 0.0204%, 0.0379% and 10.6136 for LRU, LFU, FIFO respectively using J48-AWRP-DA
Run-Length Coding Algorithm Based Satellite Image Compression
Get PDFImage compression is an application based on data compression of the digital images. Its main objective is to reduce the redundancy of the image data for storing and transmitting data in an easy way. In this system we are proposing a compression technique based on the Run-length coding algorithm based on satellite image compression. The Run-length coding algorithm is a part of the Lossless compression algorithm. The performance evolution can be done by calculating the PSNR values of the compressed images
Simulation Analysis for Multicast Context Delivery Network Mobility Management
Get PDFThe objective of this paper is to presents analyses for multicast network mobility management using NS3. It is mainly to verify the proposed network architecture and its activities. NS3 is a network simulator that implements virtually network prototype that is close to real implementation. Network mobility management has become a popular topic in networking research due to its ability to mitigate mobile IPv6 problems. However the standard network mobility management only introduced to support unicast traffic. Hence this paper integrates context transfer and multicast fast reroute, and implements this integration to the standard network mobility management. This implementation enables multicast to network mobility management with high network performance support. The analyses focus on the throughput performance. The analyses of this simulator are hereby presented
Fuzzy Control of a Large Crane Structure
Get PDFThe usage of tower cranes, one type of rotary cranes, is common in many industrial structures, e.g., shipyards, factories, etc. With the size of these cranes becoming larger and the motion expected to be faster and has no prescribed path, their manual operation becomes difficult and hence, automatic closed-loop control schemes are very important in the operation of rotary crane. In this paper, the plant of concern is a tower crane consists of a rotatable jib that carries a trolley which is capable of traveling over the length of the jib. There is a pendulum-like end line attached to the trolley through a cable of variable length. A fuzzy logic controller with various types of membership functions is implemented for controlling the position of the trolley and damping the load oscillations. It consists of two main types of controllers radial and rotational each of two fuzzy inference engines (FIEs). The radial controller is used to control the trolley position and the rotational is used for damping the load oscillations. Computer simulations are used to verify the performance of the controller. The results from the simulations show the effectiveness of the method in the control of tower crane keeping load swings small at the end of motion