The 2014 2nd International Conference on Systems and Informatics (ICSAI 2014)最新文献_第10页

Image retrieval based on color-spatial histograms 基于颜色空间直方图的图像检索

The 2014 2nd International Conference on Systems and Informatics (ICSAI 2014) Pub Date : 2014-11-01 DOI: 10.1109/ICSAI.2014.7009390

Shan Zeng, Jun Bai, Rui Huang

引用次数: 4

An efficient visualization method of RFID indoor positioning data 一种高效的RFID室内定位数据可视化方法

The 2014 2nd International Conference on Systems and Informatics (ICSAI 2014) Pub Date : 2014-11-01 DOI: 10.1109/ICSAI.2014.7009338

Weiqing Huang, Chang Ding, Siye Wang, Xiang Jing, Yuan-Jian Luo, Yanfang Zhang, Zhujun Zhang

引用次数: 6

Identification of Volterra kernels for nonlinear communication systems with OFDM inputs 输入为OFDM的非线性通信系统Volterra核辨识

The 2014 2nd International Conference on Systems and Informatics (ICSAI 2014) Pub Date : 2014-11-01 DOI: 10.1109/ICSAI.2014.7009405

Jen-Ho Cheng, Yang-Han Lin, Ching-Hsiang Tseng

{"title":"Identification of Volterra kernels for nonlinear communication systems with OFDM inputs","authors":"Jen-Ho Cheng, Yang-Han Lin, Ching-Hsiang Tseng","doi":"10.1109/ICSAI.2014.7009405","DOIUrl":"https://doi.org/10.1109/ICSAI.2014.7009405","url":null,"abstract":"The orthogonal frequency-division multiplexing (OFDM) is a multicarrier modulation scheme developed for wideband communication applications. An inherent problem of the OFDM signal is that it could suffer from nonlinearities of power amplifiers in a communication link. For a nonlinear bandpass channel, the complex envelopes of its input and output are often related by a complex baseband equivalent Volterra series. To characterize the nonlinear channel, identification of the Volterra kernels is required. Many Volterra kernel identification methods found in the literature are applicable to systems with relatively low order nonlinearities. However, they might not be easily extendable to cases with higher-order nonlinearities in a straightforward manner. In this paper, a closed-form solution of the frequency-domain baseband equivalent Volterra kernels for nonlinear channels up to the 5th order is derived. The derivation is achieved by taking advantage of the higher-order auto-moment spectral properties of OFDM signals. The proposed method is computationally efficient and can obtain optimal minimum mean square error (MMSE) estimates of the Volterra kernels. The correctness of the derived formula is justified by computer simulation.","PeriodicalId":143221,"journal":{"name":"The 2014 2nd International Conference on Systems and Informatics (ICSAI 2014)","volume":"152 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121518144","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

Image enhancement for point feature detection in built environment 建筑环境中点特征检测的图像增强

The 2014 2nd International Conference on Systems and Informatics (ICSAI 2014) Pub Date : 2014-11-01 DOI: 10.1109/ICSAI.2014.7009389

V. Lehtola, P. Rönnholm

引用次数: 2

Virtual assembly of chemical equipment 化工设备的虚拟装配

The 2014 2nd International Conference on Systems and Informatics (ICSAI 2014) Pub Date : 2014-11-01 DOI: 10.1109/ICSAI.2014.7009437

Shuai Zhang, Dongxiang Zhang, Miyi Li, W. Deng

引用次数: 0

A fuzzy logic controller application for marine power plants 模糊控制器在船舶动力装置中的应用

The 2014 2nd International Conference on Systems and Informatics (ICSAI 2014) Pub Date : 2014-11-01 DOI: 10.1109/ICSAI.2014.7009272

Lanxin Hu, Yulong Ying, Jingchao Li

引用次数: 0

First-episode depression: Diffusion tensor imaging of deep white matter 首发抑郁:深部白质弥散张量成像

The 2014 2nd International Conference on Systems and Informatics (ICSAI 2014) Pub Date : 2014-11-01 DOI: 10.1109/ICSAI.2014.7009413

Xi-zhen Wang, Shanshan Gao, Shuai Wang, Hongwei Sun, Yanyu Wang, Nengzhi Jiang, Guohua Xie

{"title":"First-episode depression: Diffusion tensor imaging of deep white matter","authors":"Xi-zhen Wang, Shanshan Gao, Shuai Wang, Hongwei Sun, Yanyu Wang, Nengzhi Jiang, Guohua Xie","doi":"10.1109/ICSAI.2014.7009413","DOIUrl":"https://doi.org/10.1109/ICSAI.2014.7009413","url":null,"abstract":"The value of diffusion tensor imaging (DTI) was investigated in the cerebral white matter microstructural abnormalities in patients with first-episode depression. Thirteen patients with first-episode depression and fourteen age- and gender-matched healthy volunteers were performed DTI. The apparent diffusion coefficient (ADC) and fractional anisotropy (FA) of prefrontal lobe deep white matter, the parahippocampal gyrus, the genu, body and splenium of the corpus callosum were recorded. FA and ADC in the deep white matter of frontal lobe, the right parahippocampal gyrus and the genu of the corpus callosum in the depression group were different from those of control group (P<;0.05). There were no significant differences of FA and ADC in the left parahippocampal gyrus and the body and splenium of the corpus callosum between two groups (P>0.05). DTI was valuable in detection of microstructural abnormalities of the white matter in patients with first-episode depression. The microstructural abnormalities in the deep white matter of frontal lobe, the right side of the parahippocampal gyrus and genu of the corpus callosum may be the neurobiological basis of first-episode depression.","PeriodicalId":143221,"journal":{"name":"The 2014 2nd International Conference on Systems and Informatics (ICSAI 2014)","volume":"8 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125338187","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

Location-based social networking information services in university campus 基于位置的大学校园社交网络信息服务

The 2014 2nd International Conference on Systems and Informatics (ICSAI 2014) Pub Date : 2014-11-01 DOI: 10.1109/ICSAI.2014.7009360

Zizhuo Zhang, Ruda Yang, Zhengqin Li, Liwei Chen, Xiaozhi Yu, Yeming Tang, Z. Du

{"title":"Location-based social networking information services in university campus","authors":"Zizhuo Zhang, Ruda Yang, Zhengqin Li, Liwei Chen, Xiaozhi Yu, Yeming Tang, Z. Du","doi":"10.1109/ICSAI.2014.7009360","DOIUrl":"https://doi.org/10.1109/ICSAI.2014.7009360","url":null,"abstract":"Location Based Services (LBS) and Social Networking Services (SNS) are two increasingly popular service systems which have been widely used in various applications. We offer an in-depth analysis of the relationship between the two different systems. Based on this analysis, we propose an effective approach to bridge these two different systems and demonstrate its applicability in providing a more intelligent set of campus information services. Our research focuses on constructing a platform on which teachers and students on campus can better exchange location based information. The proposed information system consists of four modules: a user information system to manage users' personal information, a 3D campus map system to provide the exact location information of various services in campus, an information navigation system which offers a more reasonable information classification, a location information management system which not only serves as an information distribution platform but also allows users to add comments and information on the campus location themselves. Our system has come into use for one year and has served hundreds of students and teachers in Tsinghua University.","PeriodicalId":143221,"journal":{"name":"The 2014 2nd International Conference on Systems and Informatics (ICSAI 2014)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124596783","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 data fusion method for the attitude of the floating production storage and offloading(FPSO) single-point mooring system based on the monitoring data 一种基于监测数据的浮式FPSO单点系泊系统姿态数据融合方法

The 2014 2nd International Conference on Systems and Informatics (ICSAI 2014) Pub Date : 2014-11-01 DOI: 10.1109/ICSAI.2014.7009429

Dongjie Wang, Da Tang, Q. Yue, Zhongming Shi, Jiaguo Feng

引用次数: 0

Multi-agents based data mining for intelligent decision support systems 基于多智能体的智能决策支持系统数据挖掘

The 2014 2nd International Conference on Systems and Informatics (ICSAI 2014) Pub Date : 2014-11-01 DOI: 10.1109/ICSAI.2014.7009293

D. Sharma, F. Shadabi

引用次数: 11