Aiming at the problems of poor real-time and reliability in Traditional monitoring system, we constructed a model according to the visual system information processing mechanism;a sudden-target search algorithm of mon...
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ISBN:
(纸本)9783642315756;9783642315763
Aiming at the problems of poor real-time and reliability in Traditional monitoring system, we constructed a model according to the visual system information processing mechanism;a sudden-target search algorithm of monitor area was put forward. The algorithm firstly uses Topology Independent Component Analysis (TICA) to extract monitoring images topological features library, then stimulates the neurons respectively with the image contain sudden-target and the image not contain sudden-target, and finds out the corresponding features of strong response neurons from the features library. Matching out the response characteristics which caused by the emergence of a sudden-target through comparison. Based on the above idea, the sudden-target can be searched. The model is applied to the simulation experiments of monitoring images shows the effectiveness of the proposed algorithm.
We have proposed Model predictive Control which can manage the voltage phase resolution. This method decides the optimum permutation of voltage vector by predicting current behaviors for all permutations and evaluatin...
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ISBN:
(纸本)9784886864055
We have proposed Model predictive Control which can manage the voltage phase resolution. This method decides the optimum permutation of voltage vector by predicting current behaviors for all permutations and evaluating behaviors. Our method can realize same steady current control performance of FOC, however, there is the issue which calculation amount become very huge. In this paper, we propose new search algorithm of our MPC which can reduce calculation amount. In Propose algorithm, we take a notice that control set of our MPC can be classified by type and number of the voltage vector. Calculation amount is reduced by selecting search space depending on operation points. We show that new algorithm can be greatly reduced calculation amount while keeping steady current control performance.
Active Shape Model (ASM) is considered as a high level image processing algorithm. Typical applications include image segmentation and interpretation. A major challenge in ASMs is to repeatedly move model points towar...
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ISBN:
(纸本)9781467393515
Active Shape Model (ASM) is considered as a high level image processing algorithm. Typical applications include image segmentation and interpretation. A major challenge in ASMs is to repeatedly move model points towards true boundaries. It is a crucial step in the algorithm which fails in cases of low contrast images. In this paper, we present a new search algorithm for ASM to tackle segmentation of tissues with nearby organs of similar intensities. We train a KNN classifier and employ it to label the region surroundings each mesh point and move the point towards the boundary. Thus, evolution of the initial surface is performed faster in a single step. Evaluation of the proposed method was carried out by Dice and Jaccard similarity measure and accuracy index. The results of segmentation were compared with the results of Active Contour Model and conventional ASM. The Dice (Jaccard) indices are 0.93 (0.87), 0.85 (0.73) and 0.9 (0.76) for our method, conventional ASM and ACM, respectively. Moreover, the accuracy is increased in the proposed method compared to the two other methods.
The use of a microphone array to obtain the direction of a far-field target is an important means of impacting-point detection. In this paper, a new search algorithm based on time-delay orientation is proposed, which ...
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The shark-search algorithm is a classical content-based theme crawling algorithm. However, it has some disadvantages on crawling scope, including the viscousness phenomenon. To avoid this shortcoming of the original s...
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A prominent feature of online sales is that buyers rely on the search tools offered by plat-forms to process information when searching for products. We develop a model that cap-tures how the search algorithm affects ...
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A prominent feature of online sales is that buyers rely on the search tools offered by plat-forms to process information when searching for products. We develop a model that cap-tures how the search algorithm affects buyers' search processes, which further influences market equilibrium and welfare. If a platform adopts a highly unequal search algorithm, buyers are likely to obtain repetitive information about a small group of sellers, which causes buyers to consider fewer options and suppresses competition. By using data from food delivery platforms, we provide empirical evidence that markets with less equal dis-tributions of store rankings in search results have higher average prices and more con-centrated sales. We suggest that regulators should restrict search algorithms from showing repetitive information.& COPY;2023 Elsevier B.V. All rights reserved.
The Game of the Amazons is a two-player territory game. It has attracted attentions in the research of computer game because of its simple rules and its complexity of play. In this paper, we construct and optimize an ...
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The Game of the Amazons is a two-player territory game,It nas attraciea attentions in the research of computer game because of its simple rules and its complexity of *** this paper,we construct and optimize an Amazons...
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ISBN:
(纸本)9781479970186
The Game of the Amazons is a two-player territory game,It nas attraciea attentions in the research of computer game because of its simple rules and its complexity of *** this paper,we construct and optimize an Amazons playing program X+,which is a new improvement on the search algorithm by using the game progress to modify search depths *** addition,a new evaluation factor is proposed and added to the evaluation *** experimental verification,the improvements are proved to be effective,and have helped the program to win the second prize in the 2014 National Undergraduate Computer Games Competition.
We present an algorithm for defining the set of 3-finger contact point configuration which is suitable for grasping a given set of objects. The contact points configuration can be used for the design of a simple end e...
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We present an algorithm for defining the set of 3-finger contact point configuration which is suitable for grasping a given set of objects. The contact points configuration can be used for the design of a simple end effector capable of grasping this set of objects. Given a mesh of each object, the search algorithm maps all possible grasps for each object which satisfy a quality criterion and takes into account external loads applied to the object. The mapped grasps are represented by feature-vectors which represent the shape of the gripper in a 9-dimensional space and are registered in a database of all possible grasps for each object. Then we use a search algorithm for intersecting all points over all sets and find common feature vectors. Each common vector is the grasp configuration of an end-effector for grasping the group of objects.
This work is aimed towards the development of an artificially intelligent search algorithm used in conjunction with an Auto Associative Neural Network (AANN) to help locate and reconstruct faulty sensor inputs in cont...
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This work is aimed towards the development of an artificially intelligent search algorithm used in conjunction with an Auto Associative Neural Network (AANN) to help locate and reconstruct faulty sensor inputs in control systems. The AANN can be trained to detect when sensors go faulty but the problem of locating the faulty sensor still remains. The search algorithm aids the AANN to help locate the faulty sensors and reconstruct their actual values. The algorithm uses domain specific heuristics based on the inherent behavior of the AANN to achieve its task. Common sensor errors such as drift, shift and random errors and the algorithms response to them have been studied. The issue of noise has also been investigated. These areas cover the first part of this work. The second part focuses on the development of a web interface that implements and displays the working of the algorithm. The interface allows any client on the World Wide Web to connect to the engineering software called MATLAB. The client can then simulate a drift, shift or random error using the graphical user interface and observe the response of the algorithm.
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