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Light-weight Self-Compacting Concrete (LWSCC) might be the answer to the increasing construction requirements of slenderer and more heavily reinforced structural elements. However there are limited studies to prove its ability in real construction projects. In conjunction with the traditional methods, artificial intelligent based modeling methods have been applied to simulate the non-linear and complex...
This electronic document is a “live” template and already defines the components of your paper [title, text, heads, etc.] in its style sheet. Sentiment classification is one of the research hot spots of Natural Language Processing. Compared with English and Chinese, it is hard for Tibetan to do some research of sentiment analysis because of the situation that we are lack of related sentiment corpus...
In this article, we extend the concept of neutrosophic graph-based multicriteria decision making method (NGMCDM) to the case of interval valued neutrosophic graph theory. The new concept is called interval valued neutrosophic graph-based multicriteria decision making method (IVNGMCDM for short). Finally, an illustrative example is given and a comparison analysis is conducted between the proposed approach...
Historically, eye tracking systems have been a very useful tool for finding salient regions in interfaces that naturally attract the visual attention of users. Scan paths are created as the eye moves from one salient region to another. Research has shown that a relationship exists between scan path direction and cognitive load when navigating a user interface. The analysis of scan paths during interface...
This paper presents the results of offline and online performance tests on a new multivariable fuzzy rule-based (MFR) relay for AC micro-grids. The relay is based on measurement of four critical parameters (P, Q, V and I) and fuzzy logic implementation of rules framed on the basis of these parameters. The online test is performed by embedding the relay in a micro-grid test bed capable of grid-connection...
In this paper, we calculate transformer end-of-life estimation using OMA3S information fusion algorithm. We use two parameters, transformer condition and gradient of condition, which are calculated using condition-Based Sampling Period method. Condition generated randomly, while the gradient of condition is calculated using two conditions from current observation and previous observation. This condition...
Since early days of computer science, researchers ask themselves where is the line that separates tasks machine can do from those only human beings can really accomplish. Several tasks were pointed as impossible to machines and later conquered by new advances in Artificial Intelligence. Nowadays, it seems we are not far from the day when driving cars will be included among the tasks machines can do...
The modern world is faced with the issues and concerns of business intelligence. Methodologies and techniques have been developed to facilitate the process of business analysis and comprehension. One such scientific field is focused on achieving the intelligent data before it can be utilized for intelligent analysis. The current size of information is huge and the tasks aimed out of analysis present...
In this paper I discuss a goal-directed framework for reasoning in first-order logic based on conditions. It is proposed an interpretation of these conditions in terms of proof strategies that lead to the generation of automated advice based on a proof plan. The examined framework is compared with the well-known program Symlog.
This study investigates the relative efficacy of using n-grams extracted terms, the aggregation of such terms, and a combination of feature extraction techniques in building an automated essay-type grading (AETG) system. The paper focused on the modification of the Principal Component Analysis (PCA) by integrating n-grams terms as input into the PCA algorithm. Hardcopies of examiners' marking schemes...
Distributional semantics approaches such as LSA/LSI, HAL, or Eigenwords provide low-dimensional vector space representations of words, so that similarity between words can be measured. However, they come from the statistics of words derived from natural texts where both lexical and contextual similarities are mixed together — synonyms, antonyms, or context-related word pairs are all close to each...
Standard unit of information Bit generates any natural process through discrete (yes-no) interactions, including interactive macro impulses in classical physics and elementary micro impulses of quantum interactions. The elementary interactions of random impulses measures (yes-no) probability events according to Kolmogorov 1-0 law for random process. In a natural interactive process, each impulse step-down...
With the advancement in hardware for face recognition, the research focus has shifted towards gender classification. In the recent years, gender classification has become an integral part of many commercial applications. It has been noted to generate monumental revenue for corporate industry among other things. Nevertheless accuracy is a case in point. In this paper, we have experimentally analyzed...
Autonomous agents have become a powerful paradigm and a subject of a considerable research interest in a great variety of scientific disciplines over the past 20–25 years. Given that the paradigm has been around for a while, one would expect a broadly agreed-upon, solid understanding of what autonomous agents are and what they are not. This, however, does not appear to be the case. We join the debate...
Searching is a major activity in artificial Intelligence (AI). Evolutionary search and metaheuristic algorithms form major part of artificial intelligence that has been used to find optimal solutions to a variety of problems. They have been applied in various problems of electrical power systems like economic load dispatch and relay coordination. In this work their application to relay coordination...
This paper proposes an opposition-based metaheuristic optimization algorithm. The global convergence of the algorithm is guaranteed. The efficiency of the proposed method has been compared with some well-known heuristic search methods. The obtained results confirm the high performance of the proposed method in solving various function optimizations.
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