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In this study 2-layer ANN (artificial neural network) a linear classifier and k-NN (k-nearest neighbor) a non-linear classifier were applied for identification and classification of images of four Indian wheat seed species into four classes of wheat seeds on the basis of their varieties. 120 images (40 images of four classes, 10 images of each class) from three different places were taken under same...
The majority of reliability modeling techniques assume systems and their components exhibit a single mode of failure. However, many systems including hardware are susceptible to two or more distinct failure modes. Previous research on two failure mode systems derived analytical expressions to determine the number of components that will maximize system reliability or minimize system cost. However,...
High schools have rapidly adapted computers in their administration, management and academy. School management uses papers and computers as tools to store the administrative and management data. However computers are not used to analyze data and output information. Therefore, e-School Management System (e-SMS) is developed to facilitate teaching and administration staffs to manage school activities...
Lifetime (long-term) reliability has been a main design challenge as technology scaling continues. Time-dependent dielectric breakdown (TDDB), negative bias temperature instability (NBTI), and electromigration (EM) are some of the critical failure mechanisms affecting lifetime reliability. Due to the correlation between different failure mechanisms and their significant dependence on the operating...
Correlated component failures (CCF) degrade system reliability, and hence, these failures must be explicitly incorporated into the reliability analysis process. Several contemporary efforts consider CCF, however, most of these approaches introduce an exponential number of parameters and are computationally intensive because they require a complete characterization of the joint distribution of the...
A passive universal image steganalysis method is proposed that is shown to be of higher detection accuracy than existing truly blind steganalysis methods including Farid's and the WAM. This is achieved by improving some weaknesses of Farid's steganalysis scheme in feature extraction, that is, instead of deriving an over-determined equation system for each sub band of the wavelet decomposition, the...
In many industrial systems, improvement of quality characteristics is a main step in product design. Design of experiments is a well-grounded approach to optimize quality characteristics (Response variables) in terms of design parameters (Factors). The aim of this study is to develop the mathematical model for continuous optimization and analysis of the multiple response surfaces whereas the responses...
The researchers often apply the survey questionnaire as a measurement tool to verify hypothetical propositions and structural models in humanities and social science, therefore, the data quality of survey questionnaire can effect the scientificalness of research propositions and models directly. The data quality of survey questionnaire can be divided into 3 important components in research procedure...
Content-based multimedia retrieval faces many challenges such as semantic gap, imbalanced data, and varied qualities of the media. Feature selection as a component of the retrieval process plays an important role. The aim of feature selection is to identify a subset of features by removing irrelevant or redundant features. An effective subset of features can not only improve model performance and...
The purpose of this paper is to extend the cumulative theory by examining the interaction mechanisms of capabilities in the setting of value co-creation with customers. Based on large-scale survey data collected in the middle of China and coupled with multi-method, this study makes contributions in the following three aspects. First, the enhancement of certain traditional capabilities (flexibility...
The research on brand identity impression and satisfaction degree of customers is an important issue and academic frontier in the brand research area. In this paper, using first-hand data of KFC and structural equation model (SEM), we have empirical study on the impact of customers' brand identity impression to satisfaction degree. The results show that: advertisements and customers' consume experience...
Reliability of the Fuzzy Association Rules (FARs) extraction is a challenging research in knowledge discovery and data mining. Reliability refers to the trade-off between the prediction accuracy and the rules diversity. In this paper, an approach called Diverse Fuzzy Rule Base (DFRB) is proposed to extract the FARs which are used later to predict the future values. This approach also aims to ensure...
This paper, based on the literature review and the trust theory, makes an empirical investigation and analysis in the context of today's internet and e-commerce in China. It researches influencing factor of the online public praise relating to behavior patterns about participants on the virtual platform in the case of different types of commodities. Experimental results show that the communicator's...
The area control error (ACE) determines how much a balancing authority (BA) needs to move its regulating units to meet mandatory control performance standard requirements. Regulation is an expensive resource that could cost several hundred million dollars a year for a BA. The amount of regulation needed in a system is increasing with more intermittent generation resources added to the system. The...
A new method is developed by the author to reduce the bias of the maximum likelihood estimates (MLE) with small sample sizes. The new method is based on a special case of the Fre?chet distribution. The special case of the Fre?chet distribution is now referred as the ?New Distribution? in this article and/or the ?Reduce Bias Factor? Distribution. The cumulative distribution function (CDF) of the ?New...
Estimating containership arrival rate is a key element in harbor operation and management; however, it is not easy to be described because of a wide range of external factors. Most of the literature discussing arrival processes is based on a homogeneous Poisson process, which is unable to describe the fluctuation status of growth or recession. In the paper, we propose the Non-Homogeneous Poisson Process...
The purpose of this research is to develop a target cost model for the Main Landing Gear at Bombardier Aerospace. This will offer a cost understanding at the early conception stage. The study uses a comparative analysis between a linear and a non-linear parametric model in order to determine which estimation method will increase the credibility of the cost estimate. The reliability of the models will...
The paper provides an empirical study to reflect the interaction between disclosure quality of accounting information and corporate governance efficiency. The paper establishes an evaluation model to evaluate disclosure quality of accounting information, and finds that disclosure quality of accounting information has positive correlation with corporate governance efficiency which is ROE, ROA, EPS...
According to the mechanism of identification of internal disturbance factors of missiles and the effect analysis on their performance and reliability, the correlation among these factors was analyzed. The problem of the calculation of correlation between two factors was solved by defining effect function and considering the correlation between two effect functions as the correlation between two factors...
Due to reduction in device feature size and supply voltage, the sensitivity of digital systems to transient faults is increasing dramatically. As technology scales further, the increase in transistor integration capacity also leads to the increase in process and environmental variations. Despite these difficulties, it is expected that systems remain reliable while delivering the required performance...
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