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This paper focuses on the attempt to formulate the prescription prediction logic based on the medical data analysis towards the future computer-assisted-diagnosis for Kampo medicine. We constructed and evaluated prediction models for some frequently-used prescriptions using six kinds of machine learning algorithms including artificial neural network, multinomial logit, random forest, support vector...
This paper presents the results of an extensive testing campaign for validating the time series analysis approach to the estimation of the linear field performance loss rates (PLR) of grid-connected photovoltaic (PV) systems of different technologies operating side-by-side at the PV Technology test site of the University of Cyprus since June 2006. Fifteen-minute average measurements of the array power...
Software companies need to reduce their estimated cost for surviving the business world. Now the present scenario software industries faces with greater competitive pressures and skyrocketing costs of software breakdown, to push high quality software within their limits to achieve new heights. Software quality and reducing the estimated cost, in this approach method for finding the solution of parameters...
Statistical tests are used extensively in selecting and testing random and pseudorandom number generators. This is important because the output of such generators can be used in various cryptographic applications, such as private key material. National Institute of Standards and Technologies proposed a methodology for conducting such tests, entitled Statistical Test Suite Special Publication 800-22...
Numerous software development practices suggest updating the test code whenever the production code is changed. However, previous studies have shown that co-evolving test and production code is generally a difficult task that needs to be thoroughly investigated. In this paper we perform a study that, following a mixed methods approach, investigates fine-grained co-evolution patterns of production...
The recording of brain event-related potentials (ERPs) is a widely used technique to investigate the neural basis of sensory perception and cognitive processing in humans. A commonly used assumption, when dealing with potentially overlapping ERPs elicited by successive stimuli with interstimulus interval (ISI) smaller than the latency of the ERPs, is that their interaction is linear. These overlaps...
The existing algorithms of myoelectric pattern recognition (MPR) are far from enough to satisfy the criteria which an ideal control system for upper extremity prostheses should fulfill. This study focuses on the criterion of short training, or possibly zero training. Due to the non-stationarity inhered in surface electromyography (sEMG) signals, the system may need to be re-trained day by day in the...
This paper deals with the problem of fault detection for a class of linear discrete-time varying stochastic systems in the framework of minimizing a quadratic form. Instead of residual generation, we formulate the problem of fault detection as to find a minimum of quadratic form over unknown initial state. A sufficient and necessary condition to the minimum is then given in terms of Riccati recursion...
Markov chain usage-based statistical testing has been an effective means in the economical production of high quality software that also provides credible evidence to support its dependability. Sequence-based specification is a rigorous specification method that derives a formal system model from informal functional requirements, which can be used as a formal method to construct a Markov chain usage...
Markov chain usage models have been a basis for statistical testing of software intensive systems for more than two decades. During this time, several reliability estimators have been formulated and used in testing. This paper presents an improvement on the arc-based Bayesian estimator distributed with Version 4.5 of the JUMBL (J Usage Model Builder Library) [1]. The arc-based Bayesian estimator is...
With the global widespread usage of the Internet, more and more cyber-attacks are being performed. Many of these attacks utilize IP address spoofing. This paper describes IP spoofing attacks and the proposed methods currently available to detect or prevent them. In addition, it presents a statistical analysis of the Hop Count parameter used in our proposed IP spoofing detection algorithm. We propose...
This paper describes a statistical approach for online yield analysis for multisite testing of highly reliable automotive ICs as well as the implementation of the system for testing mostly analog circuits. The core of the approach is the yield analysis of the different sites based on statistical measures. The system has been implemented as part of the production environment of Elmos Semiconductor...
Advanced Metering Infrastructure (AMI) has evolved to measure and control energy usage in communicating through metering devices. However, the development of the AMI network brings with it security issues, including the increasingly serious risk of malware in the new emerging network. Malware is often embedded in the data payloads of legitimate metering data. It is difficult to detect malware in metering...
Pseudorandom number generators are used for session key generation, simulation and games, and other applications that need long bit sequences which posses a lot of qualities like large cycle length and uniform distribution over the range of number domain. There are many state of art algorithms present. This paper is the result of an effort to develop a new Pseudorandom Number Generator that can be...
A lattice time series model may be used to estimate the inter-area electromechanical modes of a power system from measured synchrophasor data. The accuracy of these estimates is sensitive to the order of the model. This paper describes a methodology for real-time, order-recursive whiteness testing of the prediction errors. This hypothesis testing methodology may be used in conjunction with the lattice...
This work treats vowels and semivowels as vowellike regions. An analysis of the spurious vowel-like regions (VLRs) detected by a signal processing based method using excitation source information is demonstrated. Limitation of excitation information in detecting some of the nasals and voiced consonants as non-VLRs is discussed. An attempt to reduce spurious VLRs compared to the existing signal processing...
This paper describes a statistical method for test completeness verification. The method is based on analyzing programs and mathematical models of discrete devices with introduced defects. It is proposed in the paper that the method allows largely reducing the time it takes to evaluate the tests by introducing multiple defects on the one hand, and, by using the results of the analysis of tests performed...
Along with the development of tracing technique, the acquired data turns to be increasingly three-dimensional and complicated in quality traceability of transmission assembling, which requests of offering more scientific tracing statistical method of conversion from date information to decision information. In the paper, a statistical method is put forward based on Kruskal-Wallis test in light of...
This paper presents a comprehensive analysis of the integration process of statistical methodology for testing the system using tools like MaTeLo in Black-Box Testing system for automated testing. Through the specific example of testing a digital TV receiver, all the steps in testing process are analyzed: creation of device's operational profile (i.e. usage model) with the emphasis on determining...
An important aspect of traceability experiments is the ability to compare techniques. In order to assure proper comparison, it is necessary to perform statistical analysis of the dependent variables collected from technique application. Currently, there is a lack of components in TraceLab to support such analysis. The Software Verification and Validation Research Laboratory (SVVRL) and the Statistics...
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