2019 4th International Conference on Information Systems Engineering (ICISE)最新文献

筛选
英文 中文
Geographic Information Systems and Big Data Driven Framework for Planning and Design of Smart Cities 智慧城市规划设计的地理信息系统与大数据驱动框架
2019 4th International Conference on Information Systems Engineering (ICISE) Pub Date : 2019-05-01 DOI: 10.1109/ICISE.2019.00009
Yuanzhang Lu, Haiyan Xie, Syeda Arshika Zain, Zhen Xu
{"title":"Geographic Information Systems and Big Data Driven Framework for Planning and Design of Smart Cities","authors":"Yuanzhang Lu, Haiyan Xie, Syeda Arshika Zain, Zhen Xu","doi":"10.1109/ICISE.2019.00009","DOIUrl":"https://doi.org/10.1109/ICISE.2019.00009","url":null,"abstract":"The increasing population density is placing increasing demands on city services and leading to the complexity of management of public transportation, infrastructure, and development of a sustainable economy. This paper reviews the background of big data and primary components and capabilities of Geographic Information Systems (GIS) technology. The purpose is to demonstrate the wide uses and varied implementations of GIS in smart cities with different characteristics. After analyzing several case studies of GIS modeling and big data applications, the paper builds a framework for engineers to work on the planning and design of smart cities. The results indicate that GIS and big data empower humanitarian projects and make smart cities sustainable.","PeriodicalId":110712,"journal":{"name":"2019 4th International Conference on Information Systems Engineering (ICISE)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114716983","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: 2
Reasoning Method of Situation Information System Based on Multi-Agent Network 基于多智能体网络的态势信息系统推理方法
2019 4th International Conference on Information Systems Engineering (ICISE) Pub Date : 2019-05-01 DOI: 10.1109/ICISE.2019.00011
Siyuan Wang, Gang Wang
{"title":"Reasoning Method of Situation Information System Based on Multi-Agent Network","authors":"Siyuan Wang, Gang Wang","doi":"10.1109/ICISE.2019.00011","DOIUrl":"https://doi.org/10.1109/ICISE.2019.00011","url":null,"abstract":"Based on the analysis of the function of situation information system, this paper introduces the concept of multiagent network, puts forward the reasoning method of situation information system based on multi-agent network, and uses genetic algorithm to verify the method. The simulation results show that this method can solve reasoning problems in situation information system accurately and quickly.","PeriodicalId":110712,"journal":{"name":"2019 4th International Conference on Information Systems Engineering (ICISE)","volume":"584 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122936102","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
GPS Signal Quality Based on Short Baseline Three-Antenna Common-Clock 基于短基线三天线共时钟的GPS信号质量
2019 4th International Conference on Information Systems Engineering (ICISE) Pub Date : 2019-05-01 DOI: 10.1109/ICISE.2019.00026
Lei Zhang, Chunxia Zhang, Dong-dong Zhang, V. Badenko, R. Garg
{"title":"GPS Signal Quality Based on Short Baseline Three-Antenna Common-Clock","authors":"Lei Zhang, Chunxia Zhang, Dong-dong Zhang, V. Badenko, R. Garg","doi":"10.1109/ICISE.2019.00026","DOIUrl":"https://doi.org/10.1109/ICISE.2019.00026","url":null,"abstract":"In the past 5 years, the innovation technology about the dual-antenna common-clock was promoted and the performance in the relative static platform because the baseline is near 1 meter. The Common clock means that the common crystal oscillator of the GNSS dual receiver sends the same pulse signal simultaneously. The GNSS dual receiver can realize to acquire data synchronously from the different antennas. One benefit of using a common clock reference is that the clock error is the same for all RF signals including carrier phase measurements, and thus it can be removed by forming single differences. It is obvious that the single difference can be optimized and the accuracy of attitude determination can be further improved. So, the common-clock is adopted in more than two GNSS receivers and the carrier phase single difference can get the same technical effects as the double difference. This paper expresses in detail mathematical model method and some experiments, especially for GPS three-antenna short baseline system. The related research work is conducted through the car and UAV platform, such as GPS signal quality, and attitude. It is shown that the performance is more stable in the overall flight situation.","PeriodicalId":110712,"journal":{"name":"2019 4th International Conference on Information Systems Engineering (ICISE)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122305361","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
Feature Extraction and Modeling Techniques in Speech Recognition: A Review 语音识别中的特征提取与建模技术综述
2019 4th International Conference on Information Systems Engineering (ICISE) Pub Date : 2019-05-01 DOI: 10.1109/ICISE.2019.00020
Usman Khan, M. Sarim, Maaz Bin Ahmad, F. Shafiq
{"title":"Feature Extraction and Modeling Techniques in Speech Recognition: A Review","authors":"Usman Khan, M. Sarim, Maaz Bin Ahmad, F. Shafiq","doi":"10.1109/ICISE.2019.00020","DOIUrl":"https://doi.org/10.1109/ICISE.2019.00020","url":null,"abstract":"Major advancement is being noted frequently on both the exploitation and technology of spoken language systems and automatic speech recognition (ASR). Speech recognition is the procedure of automatically identifying the pronounced words of speaker based on information in voice signal. In this paper our main objectives is to review different feature extraction techniques used in Speech recognition and then several techniques for modeling the speech signal. Furthermore we also discuss the matching and prediction process. Finally this paper also provides some performance measure for speech recognition techniques.","PeriodicalId":110712,"journal":{"name":"2019 4th International Conference on Information Systems Engineering (ICISE)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132354156","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
Improved kN Nearest Neighbor Estimation Algorithm for SAR Image Clutter Statistical Modeling SAR图像杂波统计建模的改进kN最近邻估计算法
2019 4th International Conference on Information Systems Engineering (ICISE) Pub Date : 2019-05-01 DOI: 10.1109/ICISE.2019.00024
Shujuan Peng, C. Qu, Jianwei Li
{"title":"Improved kN Nearest Neighbor Estimation Algorithm for SAR Image Clutter Statistical Modeling","authors":"Shujuan Peng, C. Qu, Jianwei Li","doi":"10.1109/ICISE.2019.00024","DOIUrl":"https://doi.org/10.1109/ICISE.2019.00024","url":null,"abstract":"In order to solve the clutter background problem of Synthetic Aperture Radar (SAR) image in non-uniform clutter environment, a non-parametric statistical modeling algorithm for SAR image estimation based on kN nearest neighbor estimation is proposed. The average region volume is defined, and the nearest neighbors are accurately set according to the frequency of occurrence of each observed sample value. At the same time, the average regional volume centered on the observation point is set in order to prevent the influence of extreme values. The problem that the original algorithm is incorrectly estimated, time consuming or even impossible to estimate due to the fixed number of neighbors is solved. The algorithm does not need to interfere with the prior knowledge of the target. Based on the experimental results of real SAR image data, the accuracy, robustness and simplicity of the proposed method for background clutter modeling of SAR images are verified.","PeriodicalId":110712,"journal":{"name":"2019 4th International Conference on Information Systems Engineering (ICISE)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125918527","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 Sequential Down-Sampling Algorithm for Super-Sparse Signal Recovery 一种超稀疏信号恢复的顺序下采样算法
2019 4th International Conference on Information Systems Engineering (ICISE) Pub Date : 2019-05-01 DOI: 10.1109/ICISE.2019.00022
Renrong Hu, N. Tong, Xingyu He, Zhihui Li
{"title":"A Sequential Down-Sampling Algorithm for Super-Sparse Signal Recovery","authors":"Renrong Hu, N. Tong, Xingyu He, Zhihui Li","doi":"10.1109/ICISE.2019.00022","DOIUrl":"https://doi.org/10.1109/ICISE.2019.00022","url":null,"abstract":"When we recovering a sparse signal with the traditional sparse recovery (SR) algorithms, the number of measurements seems to be too large and can be reduced if there is only extremely limited number of nonzero components, i.e. the signal is super-sparse. Down-sampling matrices are built and a sequential down-sampling (SD) algorithm was proposed. The super-sparse signal can be exactly recovered with fewer measurements after sequential observations and reconstructions. The number of measurements is analyzed when reconstructing the super-sparse signal with the proposed SD algorithm and orthogonal matching pursuit (OMP) algorithm, i.e. the SD-OMP algorithm. Experimental results indicate that the proposed SD-OMP requires fewer measurements than OMP when recovering a super-sparse signal.","PeriodicalId":110712,"journal":{"name":"2019 4th International Conference on Information Systems Engineering (ICISE)","volume":"135 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134637283","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
Protecting the Intellectual Properties of Digital Watermark Using Deep Neural Network 基于深度神经网络的数字水印知识产权保护
2019 4th International Conference on Information Systems Engineering (ICISE) Pub Date : 2019-05-01 DOI: 10.1109/ICISE.2019.00025
F. Deeba, Getenet Tefera, She Kun, Hira Memon
{"title":"Protecting the Intellectual Properties of Digital Watermark Using Deep Neural Network","authors":"F. Deeba, Getenet Tefera, She Kun, Hira Memon","doi":"10.1109/ICISE.2019.00025","DOIUrl":"https://doi.org/10.1109/ICISE.2019.00025","url":null,"abstract":"Recently in the vast advancement of Artificial Intelligence, Machine learning and Deep Neural Network (DNN) driven us to the robust applications. Such as Image processing, speech recognition, and natural language processing, DNN Algorithms has succeeded in many drawbacks; especially the trained DNN models have made easy to the researchers to produces state-of-art results. However, sharing these trained models are always a challenging task, i.e. security, and protection. We performed extensive experiments to present some analysis of watermark in DNN. We proposed a DNN model for Digital watermarking which investigate the intellectual property of Deep Neural Network, Embedding watermarks, and owner verification. This model can generate the watermarks to deal with possible attacks (fine tuning and train to embed). This approach is tested on the standard dataset. Hence this model is robust to above counter-watermark attacks. Our model accurately and instantly verifies the ownership of all the remotely expanded deep learning models without affecting the model accuracy for standard information data.","PeriodicalId":110712,"journal":{"name":"2019 4th International Conference on Information Systems Engineering (ICISE)","volume":"63 Suppl 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128163503","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: 3
Examining the Efficacy of Commercial Cyber Security Certifications for Information Security Analysts 检验商业网络安全认证对信息安全分析师的有效性
2019 4th International Conference on Information Systems Engineering (ICISE) Pub Date : 2019-05-01 DOI: 10.1109/ICISE.2019.00008
Samuel Jarocki, H. Kettani
{"title":"Examining the Efficacy of Commercial Cyber Security Certifications for Information Security Analysts","authors":"Samuel Jarocki, H. Kettani","doi":"10.1109/ICISE.2019.00008","DOIUrl":"https://doi.org/10.1109/ICISE.2019.00008","url":null,"abstract":"Numerous cyber security certifications are available both commercially and via institutes of higher learning. Hiring managers, recruiters and personnel responsible, and logically accountable are expected to make information backed, concrete, and sound, practical decisions when selecting personnel to fill positions. The role of an incident responder or security analyst requires near real-time decision making, pervasive knowledge of the environments they are tasked with protecting and functional situational awareness. Based on available statistics and hiring practices, can current commercial certifications offered in the cybersecurity realm, particularly that of incident response, provide effective indicators for a viable candidate? In this paper, we address this question and support our analysis with statistical data.","PeriodicalId":110712,"journal":{"name":"2019 4th International Conference on Information Systems Engineering (ICISE)","volume":"114 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117305245","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
An Improved Capacitor Current Active Damping Based on Parallel Feed-Forward Compensation Method for LCL Filtered Grid Connected Inverter 基于LCL滤波并网逆变器并联前馈补偿的电容电流主动阻尼改进方法
2019 4th International Conference on Information Systems Engineering (ICISE) Pub Date : 2019-05-01 DOI: 10.1109/ICISE.2019.00021
Danish Khan, Muhammad Mansoor Khan
{"title":"An Improved Capacitor Current Active Damping Based on Parallel Feed-Forward Compensation Method for LCL Filtered Grid Connected Inverter","authors":"Danish Khan, Muhammad Mansoor Khan","doi":"10.1109/ICISE.2019.00021","DOIUrl":"https://doi.org/10.1109/ICISE.2019.00021","url":null,"abstract":"This paper presents an Active Damping (AD) of filter capacitor current for LCL three-phase Grid Connected Inverter (GCI). In this method, an improved damper is added across the LCL filter and capacitor current feedback. This combination forms a damping loop which is applied at a reference voltage point. The key features of this configuration are faster dynamic response and high control bandwidth as compared to capacitor current proportionally feedback and conventional Parallel Feed-Forward Compensation (PFC) methods. Moreover, with the proposed method the region of frequency within which the harmonic compensation is effective can be extended beyond the gain crossover frequency. The stability effect of current control loop has been evaluated by employing the proposed method under the filter parametric variations. Furthermore, this paper illustrates the stability, dynamic, and transient responses through Simulation to validate the effectiveness of the proposed method.","PeriodicalId":110712,"journal":{"name":"2019 4th International Conference on Information Systems Engineering (ICISE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129296292","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: 2
Cloud Computing: A Paradigm of More Insider Threats 云计算:更多内部威胁的范例
2019 4th International Conference on Information Systems Engineering (ICISE) Pub Date : 2019-05-01 DOI: 10.1109/ICISE.2019.00027
Maaz Bin Ahmad, Muhammad Asif, Afshan Saad, Abdul Wahab
{"title":"Cloud Computing: A Paradigm of More Insider Threats","authors":"Maaz Bin Ahmad, Muhammad Asif, Afshan Saad, Abdul Wahab","doi":"10.1109/ICISE.2019.00027","DOIUrl":"https://doi.org/10.1109/ICISE.2019.00027","url":null,"abstract":"Insider threats are one of the most challenging issues in the world of computer networks. Now a day, most of the companies are relying on cloud services to get scalable data services and to reduce cost. The inclusion of cloud environment has spread the canvas for insider threats because cloud service providers are also there in addition to the organization that outsourced for cloud services. In this paper, multiple existing approaches to handle the insider threats in cloud environment have been investigated and analyzed thoroughly. The comparison of these techniques depicts which better approaches in the paradigm of cloud computing exist.","PeriodicalId":110712,"journal":{"name":"2019 4th International Conference on Information Systems Engineering (ICISE)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125668269","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
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信
小红书