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61 results for “modern techniques”
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EditorialOpen accessIn the abstractUse of Design of Experiments and Manuscripts Rejection RateAydin Berenjian, Jason RyanTraditional one-variable-at-a-time method was and still is for some researchers, the general procedure to determine the optimal conditions for a chemical, biochemical or biological mechanism. According to this technique, a large number of experiments should be performed to obtain a high precision in effect assessment and also the interaction among the variables cannot be defined. To overcome the limitations of … …American Journal of Biochemistry and Biotechnology, Vol. 11, Issue 2 · 8 Jun 2015 · 7,167 accessesView PDFCite
Research ArticleOpen accessIn the abstractHARMONICS REDUCTION IN FRONT END RECTIFER OF UNINTERRUPTIBLE POWER SUPPLIES WITH ACTIVE CURRENT INJECTIONT. Chandrasekar, B. Justus Rabi, A. KannanHarmonics are the by-products of modern electronics devices so it is necessary to mitigate the harmonics and offer techniques to mitigation of harmonics. It is greatly hampered by a three phase rectifier used as a front-end ac-to-dc converter in many systems. High power factor is achieved by injecting high-frequency currents into the three-phase rectifier. This study presents the high power … …American Journal of Applied Sciences, Vol. 11, Issue 4 · 1 Feb 2014 · 6,803 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Hybrid Speech Recognition System with Hidden Markov Model and Radial Basis Function Neural NetworkJudith Justin, Ila VennilaWe analyze the performance of continuous speech recognition of a speaker independent system using Hidden Markov Model and Artificial Neural Network. Modern speech recognition systems use different combinations of the standard techniques over the basic approach to improve performance accuracy. One such combination which has gained more attention is the hybrid model. Our hybrid system for continuous speech recognition consists … …American Journal of Applied Sciences, Vol. 10, Issue 10 · 5 Sep 2013 · 6,819 accessesView PDFCite
Research ArticleOpen accessIn the abstractHybrid of Fuzzy Clustering Neural Network Over NSL Dataset for Intrusion Detection SystemDahlia Asyiqin Ahmad Zainaddin, Zurina Mohd HanapiIntrusion Detection System (IDS) is one of the component that take part in the system defence, to identify abnormal activities happening in the computer system. Nowadays, IDS facing composite demands to defeat modern attack activities from damaging the computer systems. Anomaly-Based IDS examines ongoing traffic, activity, transactions and behavior in order to identify intrusions by detecting anomalies. These technique identifies … …Journal of Computer Science, Vol. 9, Issue 3 · 4 May 2013 · 6,574 accessesView PDFCite
Research ArticleOpen accessIn the abstractBio-Potential Signal Extraction from Multi-Channel Paper Recorded ChartsAli S.A. Al-MejradProblem Statement: Almost all of the modern biomedical equipments that record the biopotential actions have digital output but the paper chart records are a must. The volume of these records is significant and increasing rapidly. Keeping a bio-signal chart of a patient make it easy for quick assessment but still create problems in the essence of data storage, archiving , … …American Journal of Applied Sciences, Vol. 8, Issue 6 · 13 Jun 2011 · 7,106 accessesView PDFCite
Research ArticleOpen accessIn the abstractComparative Evaluation of Phone Duration Models for Greek Emotional SpeechAlexandros Lazaridis, Vasiliki Bourna, Nikos FakotakisProblem statement: In this study we cope with the task of phone duration modeling for Greek emotional speech synthesis. Approach: Various well established machine learning techniques are applied for this purpose to an emotional speech database consisting of five archetypal emotions. The constructed phone duration prediction models are built on phonetic, morphosyntactic and prosodic features that can be extracted only … …Journal of Computer Science, Vol. 6, Issue 3 · 31 Mar 2010 · 7,065 accessesView PDFCite
Research ArticleOpen accessIn the abstractWireless Communication with a Microprocessor Based Ultrasonic Meter for Flow MeasurementsMahmoud Z. IskandaraniProblem statement: Although the traditional metering system and method for controlling flow is generally safe, reliable and robust, it does suffer certain drawbacks, such as limited accuracy and the ability to implement complex reactive rate designs. Hence, there is a need for a circuit and method of increasing metering accuracy, as well as the position control accuracy for variable flow … …American Journal of Engineering and Applied Sciences, Vol. 2, Issue 4 · 31 Dec 2009 · 7,584 accessesView PDFCite
Research ArticleOpen accessIn the abstractDynamic Traffic Light Sequence Algorithm Using RFIDKhalid A.S. Al-Khateeb, Jaiz A.Y. Johari, Wajdi F. Al-KhateebProblem statement: Traffic congestion and tidal flow management were recognized as major problems in modern urban areas, which have caused much frustration and loss of man hours. Approach: In order to solve the problem an intelligent RFID traffic control has been developed. It has circumvented or avoided the problems that usually arise with systems such as those, which use image … …Journal of Computer Science, Vol. 4, Issue 7 · 31 Jul 2008 · 21,773 accessesView PDFCite
Research ArticleOpen accessIn the abstractFunctional Planning Criterion of Forest Road Network Systems According to Recent Forestry Development and Suggestion in TurkeyMurat Demir, Mesut HasdemirEnvironment of the conscious of puclic opinion is increase recent years. When making use of the forest ecosystem for various purposes, care must be taken not to spoil the forest structure. To achieve this, forests must be used according to forestry techniques. Forest roads planning standarts (slope, width, pavement, drainage etc.) are different in production forests, forestation, national park and … …American Journal of Environmental Sciences, Vol. 1, Issue 1 · 31 Mar 2005 · 7,280 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordPerformance of Multiple Linear Regression and Nonlinear Neural Networks and Fuzzy Logic Techniques in Modelling House PricesSiti Amri, Gurudeo Anand TularamHouse price prediction continues to be important for government agencies insurance companies and real estate industry. This study investigates the performance of house sales price models based on linear and non-linear approaches to study the effects of selected variables. Linear stepwise Multiple Regression (MR) and nonlinear models of Neural Network (NN) and Adaptive Neuro-Fuzzy (ANFIS) are developed and compared. The … …Journal of Mathematics and Statistics, Vol. 8, Issue 4 · 18 Dec 2012 · 8,430 accessesView PDFCite