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200 results for “Error Analysis”
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Technical ReportOpen accessIn the abstractAnalysis of Low Probability of Intercept Radar Signals Using the Reassignment MethodDaniel L. Stevens, Stephanie A. SchuckersDigital intercept receivers are currently moving towards classical time-frequency analysis techniques for analyzing low probability of intercept radar signals. Although these techniques are an improvement over existing Fourier-based techniques, they still suffer from a lack of readability, due to poor time-frequency localization and cross-term interference, which may lead to inaccurate detection and parameter extraction. In this study, the reassignment method, … …American Journal of Engineering and Applied Sciences, Vol. 8, Issue 1 · 25 Mar 2015 · 7,210 accessesView PDFCite
EditorialOpen accessIn the abstractData Mining in Time Series: Current Study and Future TrendTan Yan, Liudmila Ulanova, Ye Ouyang, Fengyuan XuTime series represent sequences of data points where usually their order is defined by the time when they were recorded. Thus, virtually any sequential recordings can be stored as time series: Stock prices, weather conditions, physical system parameters change, product quality monitoring, etc. This leads to ubiquity of time series in all scientific and practical fields (Esling and Agon, 2012); … …Journal of Computer Science, Vol. 10, Issue 12 · 26 Jan 2015 · 8,756 accessesView PDFCite
Research ArticleOpen accessIn the abstractFUZZY MODEL OPTIMIZATION FOR TIME SERIES DATA USING A TRANSLATION IN THE EXTENT OF MEAN ERRORNurhayadi, Subanar, Abdurakhman, Agus Maman AbadiRecently, many researchers in the field of writing about the prediction of stock price forecasting, electricity load demand and academic enrollment using fuzzy methods. However, in general, modeling does not consider the model position to actual data yet where it means that error is not been handled optimally. The error that is not managed well can reduce the accuracy of … …Journal of Mathematics and Statistics, Vol. 10, Issue 2 · 2 Jun 2014 · 6,733 accessesView PDFCite
Research ArticleOpen accessIn the abstractINTEGRATION OF POKA YOKE INTO PROCESS FAILURE MODE AND EFFECT ANALYSIS: A CASE STUDYA. P. Puvanasvaran, N. Jamibollah, N. NorazlinThe Failure Mode and Effect Analysis (FMEA) is a one of the requirements which was required by the Automotive Industries Action Group (AIAG) to all the automotive suppliers and manufacturers worldwide through the TS16949 Quality System. There were a lot of dicrepencies detected on implementing the FMEA which directly related to the user experinces and knowledge. The descrepencies cause the … …American Journal of Applied Sciences, Vol. 11, Issue 8 · 24 May 2014 · 13,236 accessesView PDFCite
Research ArticleOpen accessIn the abstractPERFORMANCE ANALYSIS OF HIGH EFFICIENCY LOW DENSITY PARITY-CHECK CODE DECODER FOR LOW POWER APPLICATIONSM. Revathy, R. SaravananIn this study, we propose a low power, high efficient Low Density Parity-Check Code (LDPC) Decoder Architecture for error detection and correction applications. LDPC codes have been adopted in latest wireless standards such as satellite and mobile communications since they possess superior error-detecting and correcting capabilities. As technology scales, memory devices become larger and more powerful and low power consumption … …American Journal of Applied Sciences, Vol. 11, Issue 4 · 30 Jan 2014 · 6,882 accessesView PDFCite
Research ArticleOpen accessIn the abstractTHE MANAGEMENT OF UNCERTAINTY: MODEL FOR EVALUATION OF HUMAN ERROR PROBABILITY IN RAILWAY SYSTEMLombardi Mara, Guarascio Massimo, Rossi GiulianoThe methodology of quantitative risk assessment in use in the railway industry refers the RAMS approach, as expected in EN 50126, to define the failure of the system. From the probability of failure follows the evaluation of the failure consequence, the check of the accident occurrence and finally, the analysis of the achievable accident scenarios to quantify the damage as … …American Journal of Applied Sciences, Vol. 11, Issue 3 · 30 Dec 2013 · 7,390 accessesView PDFCite
Research ArticleOpen accessIn the abstractERROR DETECTION SCHEMES FOR FINITE FIELD MULTIPLIERSB. Sargunam, R. DhanasekaranFinite field multipliers are widely used in the field of cryptography for the purpose of scalar multiplication. The outputs of the finite field multipliers may consist of errors due to certain natural radiations which further leads to the failure of the cryptosystems. Here two Concurrent Error Detection (CED) schemes namely time redundancy and modular inversion based error detection schemes for … …American Journal of Applied Sciences, Vol. 11, Issue 1 · 11 Dec 2013 · 6,913 accessesView PDFCite
Research ArticleOpen accessIn the abstractANALYSIS OF BAYESIAN CLASSIFIER ACCURACYFelipe Schneider Costa, Maria Marlene De Souza Pires, Silvia Modesto NassarThe naïve Bayes classifier is considered one of the most effective classification algorithms today, competing with more modern and sophisticated classifiers. Despite being based on unrealistic (naïve) assumption that all variables are independent, given the output class, the classifier provides proper results. However, depending on the scenario utilized (network structure, number of samples or training cases, number of variables), the … …Journal of Computer Science, Vol. 9, Issue 11 · 26 Sep 2013 · 8,375 accessesView PDFCite
Research ArticleOpen accessIn the abstractDesign an Advance Computer-Aided Tool for Image Authentication and ClassificationRozita Teymourzadeh, Amirize Alpha Laadi, Yazan Samir Algnabi et al.Over the years, advancements in the fields of digital image processing and artificial intelligence have been applied in solving many real-life problems. This could be seen in facial image recognition for security systems, identity registrations. Hence a bottleneck of identity registration is image processing. These are carried out in form of image preprocessing, image region extraction by cropping, feature extraction … …American Journal of Applied Sciences, Vol. 10, Issue 7 · 24 Jun 2013 · 6,561 accessesView PDFCite
Research ArticleOpen accessIn the abstractStock Market Development and Economic Growth an Empirical AnalysisVazakidis Athanasios, Adamopoulos AntoniosThis study investigated the causal relationship between stock market development and economic growth for Greece for the period 1978-2007 using a Vector Error Correction Model (VECM). Questions were raised whether stock market development causes economic growth taking into account the negative effect of interest rate on stock market development. The purpose of this study was to investigate the short-run and … …American Journal of Economics and Business Administration, Vol. 4, Issue 2 · 12 Jun 2012 · 13,859 accessesView PDFCite