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A multilevel evaluation model integrating Triangular Fuzzy Numbers (TFNs), Analytical Hierarchical Process (AHP) and Grey Relational Analysis (GRA) was Proposed to evaluate Brownfield Redevelopment Projects (BRPs). Three schemes were proposed including 1: Housing Society, 2: Industrial Park 3: Commercial Development. Initially, primary indicators were identified through extensive literature review...
This article is devoted to the actual problem of medical equipment — the creation of a portable analyzer for monitoring blood biochemical parameters: glucose and cholesterol. A correlation analysis of the concentration of glucose and cholesterol in the blood with the parameters of arterial pressure (BP) and excess body mass index (BMI) was carried out using computer simulation. Imitative models are...
Nowadays the Massive MIMO system is one of the keys for obtaining high quality and reliability of data transmission. One of the main characteristics influencing the MIMO system performance is the channel (system) correlation matrix (CM). The proposed research assumes an exponential-type banded CM structure, which is bridging the gap between fully correlated and uncorrelated/weakly correlated (tridiagonal...
This paper discusses a correlation methodology between two types of Far-Field radiation patterns belonging to the same device – one that is measured in an anechoic chamber and one that is simulated with a 3D full-wave EM solver. The problems with establishing such a correlation are discussed in this paper, and an algorithm is proposed to mitigate several possible sources of disagreement. Experimental...
Variables in chemical process are mutually affected and chemical process failures are often caused by the chain effect of a number of variables, so some minor changes in variables can often lead to an unknown fault. In this paper, the multivariable correlations are studied from the perspective of the whole process, and PCC (Pearson Correlation Coefficient) is used to calculate the correlation coefficient...
Improving the countermeasures against side-channel attacks (SCAs) increases the cost of both designing the countermeasures and evaluating SCA resistance. This may force cryptographic ICs to remain vulnerable. The increased cost is due to an indispensable procedure where a large number of side-channel traces need to be analyzed in order to evaluate the SCA resistance. In this work, a low-cost method...
The efficiency of communication system is the key factor for the operational capability of naval ship. Through analyzing the evaluation index of naval fleet's communication system, a satisfactory-degree based on efficiency evaluation model is founded by applying the grey relational analysis. The steps of the model include gathering index data based on index tree, constituting the reference sequence...
Owing to increasing photovoltaic (PV) systems installation, especially large-scale ground-mounted PV plants, the role of PV power generation is gradually changing from a supplementary energy to an alternative energy resource, with respect to conventional power generation. It is important and necessary to evaluate the capacity value of PV systems. This paper introduces an artificial neural network-based...
Capillary images obtained from the finger nailfolds are very useful for diagnosis of the health condition of a person. Specific capillaroscopic patterns have been identified for healthy controls as well diseases such as Systemic Sclerosis and Raynaud's phenomenon. Here, six capillary morphological abnormalities act as inputs to response surface regression, generating an output whose range will indicate...
For many decision making problems, all the possible alternatives are treated equally before one find the most desirable alternative. But, it is a little unreasonable if all alternatives are treated equally. So, in this paper by taking the aggregation operator into account, the weights of criteria can be determined successfully. There in to, the parameters for aggregation operator are the decision...
In order to select the better wine grape varieties, and improve wine quality evaluation standards, the paper made a cluster analysis of wine grape samples based on the selected 57 physicochemical indexes. It's also classified different categories of wine grape after comparing the results of the wine quality evaluation. SPSS for canonical correlation analysis was used to find typical indicators, which...
With the dramatic competition in the Information Technology (IT) industry, if the IT business wants to obtain a more stable marketplace and maintain a constant source of profits. How to maintain long-term and relatively stable trading relations with customers need to be considered. Further more, they should also encourage customers to generate repurchase intention and conduct buying behaviors. This...
The paper presents a unified approach to the statistical linearization of input/output mapping of non-linear discrete-time stochastic systems driven with white-noise Gaussian process. The approach is concerned with a possibility of applying any consistent measures of dependence (that is those measures of dependence of a pair of random values, which vanish if and only if these random values are stochastically...
Feature selection is one of the most important pre-processing steps when we consider a data mining, pattern recognition or machine learning problem. Finding an optimal feature subset, among all the combinations, is a NP-Complete problem. Despite lot of research in this domain, feature selection for clustering is still an unsolved issue. In this paper, a binary particle swarm optimization (PSO) algorithm...
Higher Order Differential Power Analysis (HO-DPA) has been introduced for more than ten years. Various combining functions are applied to attack the masked AES implementation, but finding an appropriate combining function is still a big issue. We study the weakness of absolute difference method when using multi-bit variables to mount an attack. In this paper, an optimized method is proposed to improve...
Driving cycles are produced for describing the characteristics of a specific vehicle under certain traffic environment. Heavy duty truck and HEV(hybrid electrical vehicle) are obviously influenced by road grade and a driving cycle with road grade is necessary for studying on them. This article collected heavy duty truck driving data in motorway. Then expound the Markov property of driving data form...
First of all, the technological framework of the model for calculating the kill probability of multiple shots is established, followed by the corresponding calculation equations relating to two cases of both shooting errors and shooting index. For getting rid of the difficulties facing the calculation of kill probability of multiple shots, an approximate treating mode converting general shooting errors...
Characteristic parameters extraction of unknown protocol bit streams is the foundation of bit streams clustering and unknown protocol identification. In order to extract the characteristic parameters of unknown protocol bit streams, a method based on compression ratio, hamming weight and runs frequency is put forward. Meanwhile, the correlation coefficient of different parameters is defined according...
How to apply valid selecting predictors and scientific evaluating methods is a critical issue coaches' selection. In this paper, we proposed a new evaluation model based on Analytic Hierarchy Process (AHP) and Grey Correlation Theory. Grey Correlation Theory was used to calculate the grey correlation coefficients of the evaluation object, and AHP was used to determine the weights of the evaluation...
Recently, NIE (Newspaper In Education) is attracting attention at many elementary schools around the world. The use of newspapers for education has been specified in the Japanese government course guidelines since school year 2011. However, newspaper articles are written in kanji characters or terms which elementary school children cannot read and understand. The purpose of our research is to construct...
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