Institution
North China Coal Medical University
About: North China Coal Medical University is a based out in . It is known for research contribution in the topics: Genotype & Apoptosis. The organization has 555 authors who have published 354 publications receiving 6159 citations.
Topics: Genotype, Apoptosis, Cancer, Pneumoconiosis, Gene polymorphism
Papers published on a yearly basis
Papers
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TL;DR: Today the multimedia technologies renew unceasingly, use wireless network merit, constructs the transportable multimedia digital classroom, and by “scientific style” the way helps the school solution training facilities to reform the question, has enlarged the school educational reform step.
Abstract: Moves the multimedia studies is one kind of new study form. Today which in the Internet high speed development, the multimedia technologies renew unceasingly, use wireless network merit, constructs the transportable multimedia digital classroom, by “scientific style” the way helps the school solution training facilities to reform the question, has enlarged the school educational reform step.
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TL;DR: In the traveling salesman problem of the experiments prove the effectiveness of the proposed algorithm, will the ant colony algorithm each search results as the initial population, single genetic improvement, for the shortest route optimization.
Abstract: Ant colony algorithm is a kind of effective combinatorial optimization problem solving algorithm has been increasingly, thorough research, and gradually get used. Ant colony algorithm is a set of parameters, the algorithm, a lack of adequate experiences often. The paper has put forward a single genetic character of ant colony algorithm. Will the ant colony algorithm each search results as the initial population, single genetic improvement, for the shortest route optimization. In the traveling salesman problem of the experiments prove the effectiveness of the proposed algorithm.
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25 Jun 2010TL;DR: In this article, a new iterative algorithm for the solution of a certain class of double obstacle problems is proposed, which can be used in conjunction with any numerical method with minimal development of extra code.
Abstract: In this paper we propose a new iterative algorithm for the solution of a certain class of double obstacle problems. Such problems arise in the modeling of a variety of physical phenomena and usually involve the determination of an unknown free boundary. Here we describe a way of locating the free boundary directly and provide a proof that the algorithm converges when used with analytic methods. The advantage of this algorithm is that it can be used in conjunction with any numerical method with minimal development of extra code.
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17 Dec 2008TL;DR: The result shows the novel laser sensor has more merits like high accuracy, nimble reliable control, low defending, strong system transplanting function and improved availability, etc and the system has applied successfully in foreign-funded enterprise of Singapore.
Abstract: The original detecting process of leveling degree of machine-facture in foreign-funded enterprise of Singapore exists such shortcomings as being miscellaneous and trivial in numerical reading process, relatively bigger personal subjective errors and inefficient long range job intensity of labor etc. This article applies the novel laser sensor to detect the leveling degree of Machine-facture with a higher accuracy. S7-200PLC of Siemens, motion module EM253 and stepping motor are tied in wedlock to realize accurate allocation of 2-dimension of X axis and Y axis. And the result shows the system has more merits like high accuracy, nimble reliable control, low defending, strong system transplanting function and improved availability, etc. And the system has applied successfully in foreign-funded enterprise of Singapore.
Authors
Showing all 555 results
Name | H-index | Papers | Citations |
---|---|---|---|
Yi Lu | 103 | 628 | 40883 |
Zuo-Feng Zhang | 91 | 443 | 26228 |
Wei Chen | 58 | 157 | 11456 |
Sean R. Williamson | 33 | 166 | 5985 |
Xuemei Zhang | 31 | 84 | 3525 |
Ping Guo | 31 | 54 | 3474 |
Ruimin Wang | 29 | 50 | 2514 |
Peifu Tang | 29 | 296 | 4322 |
Hui Zhao | 26 | 88 | 2131 |
Fang Yang | 18 | 54 | 1406 |
Liufu Cui | 13 | 32 | 482 |
Fumin Feng | 11 | 46 | 371 |
Hong Sun | 11 | 15 | 453 |
Xuepeng Zhang | 10 | 13 | 303 |
Juxiang Yuan | 8 | 11 | 188 |