{"title":"A Maximal Clique Enumeration Based on Ordered Star Neighborhood for Co-location Patterns","authors":"Yang Cheng, Zhang Tianjun, Luo Junli","doi":"10.1109/IHMSC.2013.46","DOIUrl":"https://doi.org/10.1109/IHMSC.2013.46","url":null,"abstract":"A co-location pattern is a group of spatial features/events that are frequently co-located in the same region. Even though Boolean spatial feature types(or spatial events) may correspond to items in association rules over market-basket datasets, there is no natural notion of transactions. Methods proposed for transactional data mining cannot be directly applied on spatial boolean data. Previous studies have to propose new notions in place of transactions and use corresponding measures and methods to mine co-location patterns. In this paper, we propose a maximal clique enumeration Based on ordered star neighborhood(MCEBOSON) algorithm to enable the transactionalization of spatial boolean data, which makes the application of classic efficient methods on general data mining possible. The experimental results show that the MCEBOSON algorithm successfully generates all maximal cliques in the synthetic dataset and performs better than the join-Based algorithm.","PeriodicalId":222375,"journal":{"name":"2013 5th International Conference on Intelligent Human-Machine Systems and Cybernetics","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114084498","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Scallop Recognition Method Based on Fuzzy Theory","authors":"Honglei Wei, Mei Yang, Xiaodan Liu","doi":"10.1109/IHMSC.2013.263","DOIUrl":"https://doi.org/10.1109/IHMSC.2013.263","url":null,"abstract":"In this paper, a fuzzy recognition system is established to achieve the identification and classification of scallops. Image edges were detected by the canny operator after the original images being processed to gray image and binary image. To build the fuzzy system, mean and variance of the distance between the edge and the center of target were calculated as input, and the object category as the output of the fuzzy system, and four fuzzy rules were established Based on analysis in the scallop image. The experimental results show that the proposed method is really effective.","PeriodicalId":222375,"journal":{"name":"2013 5th International Conference on Intelligent Human-Machine Systems and Cybernetics","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114182845","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Method of Automatic Cell Counting Based on Microscopic Image","authors":"X. Guo, Fei-hong Yu","doi":"10.1109/IHMSC.2013.76","DOIUrl":"https://doi.org/10.1109/IHMSC.2013.76","url":null,"abstract":"This paper introduces an efficient automatic cell counter based on microscopic image. The counter separates the cell and background by histogram dual-threshold, fills the cell by Floodfill, and detects the cell using blob analysis. Then, using K-means clustering method segments the adherent cells. The highlight advantage of our proposed method is that it has good adaptability for different kinds of cells and strong robustness to light intensity. Experimental results show that the counter can quickly and correctly detect the number of cells and have good stability, regardless of the cell morphology, cell type and cell size. The method has been successfully applied to the microscopic image processing system.","PeriodicalId":222375,"journal":{"name":"2013 5th International Conference on Intelligent Human-Machine Systems and Cybernetics","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123748735","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Material Consumption Estimation of High-Rise Buildings Based on SVM","authors":"Jie Ni, F. Tan","doi":"10.1109/IHMSC.2013.34","DOIUrl":"https://doi.org/10.1109/IHMSC.2013.34","url":null,"abstract":"Estimation of steel consumption is an essential part of the implementation of quota design. Increasing accuracy of this estimation will not only help control the design phase, but also back up project decision and make it possible to conduct procurement plan earlier, which will shorten project life cycle. This paper adopts Support Vector Machine method among the numerous methods to apply it to this estimation in high-rise residential buildings and achieve relatively high accuracy through case verification. Furthermore, the influences of input variables' variation on the outcome are revealed via sensitivity analysis, which can sustain project decision.","PeriodicalId":222375,"journal":{"name":"2013 5th International Conference on Intelligent Human-Machine Systems and Cybernetics","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125117600","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Worker Evaluation Using FCE and AHP","authors":"Jie Yuan","doi":"10.1109/IHMSC.2013.141","DOIUrl":"https://doi.org/10.1109/IHMSC.2013.141","url":null,"abstract":"This paper proposes a decision approach for worker evaluation using Fuzzy Comprehensive Evaluation (FCE) and Analytic Hierarchy Process (AHP). The main purpose of worker evaluation is to select, promote and develop the most highly qualified workers for decision-makers. In this paper, an illustration for worker evaluation is presented. It exemplifies the combination of the FCE and the AHP for appraising workers. The author propose that while the FCE is used to evaluate workers, the weight vector of the factors is obtained by the AHP rather than is only given by experts according to their subjective experience. Thus, the disadvantages of the subjective judgment of the experts can be reduced. Among other things, the different application situations of the AHP and FCE for worker evaluation are put forward. Therefore, it is conducive to obtain more reliable and reasonable evaluation results, provide the support for related decision-making activities.","PeriodicalId":222375,"journal":{"name":"2013 5th International Conference on Intelligent Human-Machine Systems and Cybernetics","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133454910","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Guo Peiyuan, Fu Yan, Xiang Lingzi, Bao Man, Cheng Xinghai
{"title":"Research on Marine and Freshwater Fish Identification Model Based on Hyper-spectral Imaging Technology","authors":"Guo Peiyuan, Fu Yan, Xiang Lingzi, Bao Man, Cheng Xinghai","doi":"10.1109/IHMSC.2013.94","DOIUrl":"https://doi.org/10.1109/IHMSC.2013.94","url":null,"abstract":"With the gradually mature of hyper spectral image technology, the application of the meat nondestructive detection and recognition has become one of the current research focuses. This paper for the study of marine and freshwater fish by the pre-processing and feature extraction of the collected spectral curve data, combined with BP network structure and LVQ network structure, a predictive model of hyper spectral image data of marine and freshwater fish has been initially established and finally realized the qualitative analysis and identification of marine and freshwater fish quality.","PeriodicalId":222375,"journal":{"name":"2013 5th International Conference on Intelligent Human-Machine Systems and Cybernetics","volume":"228 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133974408","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Ergonomics Research of HUD Interface Based on GL Studio","authors":"Shuang Liu, X. Wanyan, Damin Zhuang, Chunxia Ma","doi":"10.1109/IHMSC.2013.142","DOIUrl":"https://doi.org/10.1109/IHMSC.2013.142","url":null,"abstract":"To improve the identification rate of the information on aircraft's HUD interface, GL Studio is adopted to quickly build the virtual instrument interface of HUD, which is driven by flight simulation equations. The virtual instrument interface of HUD is imported into three-dimensional vision system for the ergonomics evaluation of character type, font type and color of the displayed information. The reaction time and correct rate are chosen as the ergonomics evaluation indices, as well as the synchronized physiological measurement of electro dermal activity (EDA) is carred out as auxiliary evaluation. The experimental results manifest that the correct rate of identification for Chinese character is higher than that of the English character. The font of the best identification performance with the shortest reaction time and highest correct rate is Official script in Chinese and Calibri in English. Green is the character color with the best identification performance. The character identification performance has the trend that Official Song typeface in Chinese, and Arial in English. The three fonts under the two different character types have the most significant difference when the character color is yellow, but the least difference when the character color is green.","PeriodicalId":222375,"journal":{"name":"2013 5th International Conference on Intelligent Human-Machine Systems and Cybernetics","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114102428","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Test Case Coverage Analysis of UOF/OOXML Translator Based on Path","authors":"Yanan Zhang, Yongmin Mu, Yin Liu, Peisheng Yan","doi":"10.1109/IHMSC.2013.231","DOIUrl":"https://doi.org/10.1109/IHMSC.2013.231","url":null,"abstract":"UOF/OOXML Translator requires test cases to achieve 100% coverage, however, because test cases designed are depending on testers to understand and be familiarity with Office software function points, the coverage cannot be quantified and analysis correctly, and the completeness of testing cannot be ensure. For these problems, this paper proposes a method of measuring test case coverage Based on analysis of function paths of test cases. Experiments show that the method can calculate function points coverage efficiently and assure testing adequacy. Besides, test cases that do not meet coverage requirements can be determined through qualitative analysis of coverage data, thus can reduce administrative costs and improve test efficiency dramatically.","PeriodicalId":222375,"journal":{"name":"2013 5th International Conference on Intelligent Human-Machine Systems and Cybernetics","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114451264","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Isomorphism of Some Kind of Transformation Graph","authors":"Xiusong Gu, Dandan Xu, Bei Chen","doi":"10.1109/IHMSC.2013.132","DOIUrl":"https://doi.org/10.1109/IHMSC.2013.132","url":null,"abstract":"Calculation and isomorphism is one of the important topics in graph theory. Especially to keep some structure parameters of graph invariant operation is the focus of attention of the structure graph. Study on the transformation graph can study some special graphs and their relationship in a larger range. This paper studied the isomorphism of some kind of transformation graph. By the method of degree sequence, It was shown that two transformation graphs are isomorphic if and only if the two original graphs are isomorphic.","PeriodicalId":222375,"journal":{"name":"2013 5th International Conference on Intelligent Human-Machine Systems and Cybernetics","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116150135","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Human Motion Capture Data Retrieval Based on Quaternion and EMD","authors":"Q. Xiao, Junfang Li, Qinhan Xiao","doi":"10.1109/IHMSC.2013.129","DOIUrl":"https://doi.org/10.1109/IHMSC.2013.129","url":null,"abstract":"In this paper, a novel human motion captured data retrieval approach is presented Based on Quaternion and EMD. The method mainly contains two steps: indexing and matching. In indexing part, for solving high dimension data problem, we use the quaternion to represent key-joints rotation information, and mapping the distribution of original CMU database, we take K-means clustering to categorize query and candidate features in datasets. In matching part, according to the clustering results, the distance matrix of each feature dataset is established. The next, the EMD measure algorithm is employed to match between motions, and similarity scores are obtained. Experiment results show that the proposed approach is efficient, and it is superior to existed methods.","PeriodicalId":222375,"journal":{"name":"2013 5th International Conference on Intelligent Human-Machine Systems and Cybernetics","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115402798","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}