International Journal of Hybrid Information Technology最新文献_第6页

Enriching Medicare Severity-Diagnosis Related Group (MS-DRG) Payments for better Service to inpatients using ANFIS 充实医疗保险严重诊断相关组(MS-DRG)支付，为使用ANFIS的住院患者提供更好的服务

International Journal of Hybrid Information Technology Pub Date : 2017-08-31 DOI: 10.14257/IJHIT.2017.10.8.02

K. Chimwayi, Noorie Haris, Ronnie D. Caytiles, N. Iyengar

引用次数: 0

Research on the Ergonomic Adaptability of Electric Racing Vehicle 电动赛车的人机适应性研究

International Journal of Hybrid Information Technology Pub Date : 2017-08-31 DOI: 10.14257/ijhit.2017.10.8.01

Zhang Dongjian, Mao Qihua, T. Chao

{"title":"Research on the Ergonomic Adaptability of Electric Racing Vehicle","authors":"Zhang Dongjian, Mao Qihua, T. Chao","doi":"10.14257/ijhit.2017.10.8.01","DOIUrl":"https://doi.org/10.14257/ijhit.2017.10.8.01","url":null,"abstract":"This study shows that the electric racing vehicle (ERV) is still not well enough adapted for human beings, especially in the part of seat, steering wheel, visibility and accessible range. When designing ERV ergonomically, the virtual reality (VR) technique is as important as the real experience. Moreover, exacting contemporary economic and ecological requirements also mean that the cost and the energy consumption of the production cycle must be modified and reduced to a minimum. The present authors offer a new method of optimization of the ergonomic adaptability for ERV where the interiors and visibility are evaluated by designers and engineers, with interrelated functional links using UGS human builder module. This study uses anthropometric reference data for drivers from all previous racing drivers of the SUES. The objective was, taking into account the ERV interior height and width limitations, to accommodate the largest range of anthropometric dimensions by using the fifth-percentile woman, which was accomplished using a new method for model accommodation optimization. Furthermore, comfort, convenience, visibility and accessibility must be assured. Meanwhile, the robustness analysis also is applied to test the comfort of the ERV. After the robustness analysis of the new frame, the driver has enough comfort, convenience, visibility and accessible range of hands. By applying the suggested method and the data of new frame acquired, an optimum space for drivers was obtained. The space for the angle between the eyespot and the rear mirror is 12 deg relative to the vertical, and the horizontal angle is 29 deg, which meets the requirements of the basic visibility.","PeriodicalId":170772,"journal":{"name":"International Journal of Hybrid Information Technology","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126542842","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}

引用次数: 1

Cast Shadow Resistant Ground Plane Detection in Single Image 单幅图像抗投影地平面检测

International Journal of Hybrid Information Technology Pub Date : 2017-08-31 DOI: 10.14257/IJHIT.2017.10.8.09

Xiaoyan Xu, Xiaoming Liu, Chang-jia Liu, Yuan Ling

引用次数: 0

APT Detection with Concolic Execution 与Concolic执行APT检测

International Journal of Hybrid Information Technology Pub Date : 2017-07-31 DOI: 10.14257/IJHIT.2017.10.7.01

Yunfei Su, Mengjun Li, Chaojing Tang, Rongjun Shen

引用次数: 0

Low Resolution Brain Source Localization Using EEG Signals 利用脑电信号进行低分辨率脑源定位

International Journal of Hybrid Information Technology Pub Date : 2017-07-31 DOI: 10.14257/IJHIT.2017.10.7.04

M. A. Jatoi, N. Kamel, S. Musavi, M. S. Shaikh, C. Kumar

{"title":"Low Resolution Brain Source Localization Using EEG Signals","authors":"M. A. Jatoi, N. Kamel, S. Musavi, M. S. Shaikh, C. Kumar","doi":"10.14257/IJHIT.2017.10.7.04","DOIUrl":"https://doi.org/10.14257/IJHIT.2017.10.7.04","url":null,"abstract":"Each mental or physical task gives rise to generate electromagnetic activity in the brain. These electrical signals are analyzed by using various neuroimaging techniques which include electroencephalography (EEG), magnetoencephalogy (MEG), positron emission tomography (PET) and functional magnetic resonance imaging (fMRI). However, when the brain sources which are responsible for such electrical activity are localized, then it’s called brain source localization or source estimation. This information is utilized to comprehend brain’s physiological, pathological, mental, functional abnormalities. Also, the information is used to diagnose cognitive behaviour of the brain. Various methodologies based upon EEG signals are adopted to localize the active sources such as minimum norm estimation (MNE), low resolution brain electromagnetic tomography (LORETA), standardized LORETA, exact LORETA, multiple signal classification (MUSIC), focal underdetermined system solution (FOCUSS) etc. This research discusses localizing ability of low resolution techniques (LORETA and sLORETA) for various head models (finite difference model and concentric model). The simulations are carried out by using NETSTATION software. The results are compared in terms of activations for same EEG data with the same stimulus provided to subjects. However, it is observed that the combination of finite difference method (FDM) with sLORETA produced best results in terms of source intensity level (nA). Hence, the combination of inverse method sLORETA with FDM produces better source localization.","PeriodicalId":170772,"journal":{"name":"International Journal of Hybrid Information Technology","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127407093","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}

引用次数: 0

Binomial Heap Sorting – A New Sorting Algorithm 二项堆排序——一种新的排序算法

International Journal of Hybrid Information Technology Pub Date : 2017-07-31 DOI: 10.14257/ijhit.2017.10.7.03

A. Tayal, Kuldeep Tanwar, Gaurav Dubey

引用次数: 0

A Tile Data Cache Replacement Policy Based on Hierarchical Relationship and Correlation Degree 基于层次关系和关联度的Tile数据缓存替换策略

International Journal of Hybrid Information Technology Pub Date : 2017-07-31 DOI: 10.14257/ijhit.2017.10.7.02

Xing Chen, Feixiang Chen, Jiaxing Liu

引用次数: 0

Personalized Semantic Query Expansion Based on Dynamic User Query Profile and Spreading Activation Model 基于动态用户查询轮廓和扩展激活模型的个性化语义查询扩展

International Journal of Hybrid Information Technology Pub Date : 2017-06-30 DOI: 10.14257/ijhit.2017.10.6.04

Sheng-Ping Zhu, Xiangguang Meng, Feixiang Chen, Xuan Tian

{"title":"Personalized Semantic Query Expansion Based on Dynamic User Query Profile and Spreading Activation Model","authors":"Sheng-Ping Zhu, Xiangguang Meng, Feixiang Chen, Xuan Tian","doi":"10.14257/ijhit.2017.10.6.04","DOIUrl":"https://doi.org/10.14257/ijhit.2017.10.6.04","url":null,"abstract":"Semantic query expansion is a widely used method to resolve the query problems of synonym and polysemy in the information retrieval field. However, it does not make users more satisfied with the search results because too much noise unfit to users’ needs is introduced in the process. In this paper a new framework combining personalization with semantic query expansion is proposed to overcome the noise problem brought by semantic query expansion. In the proposed framework, firstly, instead of using traditional hierarchical expansion strategy, the spreading activation model (SAM) is used for enhancing the selection of expansion terms to reduce the noise. Secondly, to get more accurate expansion terms for individual search, dynamic user query profile is built to capture individual variable query needs and is integrated into the semantic expansion process. The proposed expansion process is described by four steps: building dynamic user query profile, concepts mapping, personalized semantic query expansion and determining the final expansion terms. Four groups of experiments were designed to verify the validity of the proposed method. The experiment results show that the proposed method outperforms both traditional hierarchical expansion and keyword-based query, which manifests that building dynamic user query profile is important for depicting user query needs in semantic query expansion and it is more rational to improve query expansion based on spreading activation model. Moreover, personalized semantic query expansion based on dynamic user query profile and spreading activation model can reduce noise of semantic query expansion and improve the search effectiveness. Keyword: semantic query expansion, personalized information retrieval, dynamic user query profile, spreading activation model","PeriodicalId":170772,"journal":{"name":"International Journal of Hybrid Information Technology","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115370774","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}

引用次数: 0

A Method of Initial Population Generation of Intelligent Optimization Algorithms for Constrained Global Optimization 约束全局优化智能优化算法的初始种群生成方法

International Journal of Hybrid Information Technology Pub Date : 2017-06-30 DOI: 10.14257/IJHIT.2017.10.6.05

Jiquan Wang, O. Ersoy, Xinxin Chen, Fulin Wang

{"title":"A Method of Initial Population Generation of Intelligent Optimization Algorithms for Constrained Global Optimization","authors":"Jiquan Wang, O. Ersoy, Xinxin Chen, Fulin Wang","doi":"10.14257/IJHIT.2017.10.6.05","DOIUrl":"https://doi.org/10.14257/IJHIT.2017.10.6.05","url":null,"abstract":"When the constraint conditions and variables are very many in a global optimization application, it is a challenging task to generate initial population to be used in an evolutionary optimization algorithm to solve the constrained global optimization problem. In this paper, a method of rapidly generating an initial population is proposed. The key to this method is to use the genetic algorithm to generate a first initial interior point. First, by using the interior point method, the problem of the first initial interior point of generating the initial population is converted in to solving an unconstrained optimization problem, which is next solved by using the genetic algorithm to generate the first initial interior point. Secondly, the remaining individuals of the initial population are randomly generated. In this process, the feasibility of each randomly generated member is first checked. If it is feasible, then the next member is checked. If this member is infeasible, then it is moved closer to the first interior point until it becomes feasible. When all the members of the population are feasible, the initial population is ready to be used with the intelligent optimization algorithm. The experimental results with three test functions show that the proposed method can quickly generate the initial population.","PeriodicalId":170772,"journal":{"name":"International Journal of Hybrid Information Technology","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123402598","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}

引用次数: 1

A Variance Multi-period Portfolio Model with Fixed Ratio Based on Ternary Interval Numbers 基于三元区间数的固定比率方差多期投资组合模型

International Journal of Hybrid Information Technology Pub Date : 2017-06-30 DOI: 10.14257/IJHIT.2017.10.6.01

Liu Ximei, Wang Changfeng, Lv Yuan

引用次数: 0