2020 International Conference on Computer Science and Software Engineering (CSASE)最新文献_第6页

Landsat Time-Series for Land Use Change Detection Using Support Vector Machine: Case Study of Javanrud District, Iran 基于支持向量机的Landsat时间序列土地利用变化检测:以伊朗Javanrud地区为例

2020 International Conference on Computer Science and Software Engineering (CSASE) Pub Date : 2020-04-01 DOI: 10.1109/CSASE48920.2020.9142087

H. Karimi, Javad Jafarnezhad, Anahita Kakhani

{"title":"Landsat Time-Series for Land Use Change Detection Using Support Vector Machine: Case Study of Javanrud District, Iran","authors":"H. Karimi, Javad Jafarnezhad, Anahita Kakhani","doi":"10.1109/CSASE48920.2020.9142087","DOIUrl":"https://doi.org/10.1109/CSASE48920.2020.9142087","url":null,"abstract":"Changes in land use/land cover (LULC) affect the natural ecosystem and environment that can cause changes in soil resources, biodiversity, ecological function, and environmental components. Therefore, recognizing the trends of LULC changes plays an essential role in natural resources planning and management. This research aims to investigate the spatial and temporal variations of LULC using remote sensing and geographic information system in Javanrud district, Iran. For this aim, Landsat satellite imageries including Thematic Mapper (TM) of 2000, and 2010, and Operational Land Imager (OLI) of 2018, were acquired in the land use/cover changes in Javanrud district were analyzed. Geometric correction, topography correction, and radiometric correction were implemented to enhance the accuracy of the images. Finally, the support vector machine (SVM) method was employed to extract the LULC classes, and the images were categorized into five different classes, namely build-up, farmland, rangeland, woodland, and bare land. The results indicate that there was an increase in urban, farmland, and bare land types, while the extent of rangeland and woodland decreased. During the last 18 years, build-up land has been increased from 4.3km2 in 1990 to 6.4 km2 in 2018, farmlands and bare lands have seen an increase of about 34.22 and 16.86 km2, respectively, while rangelands and woodlands have been decreased by 15.93 km2, and 68.51 km2, respectively. Demand for the expansion of agricultural land, fuelwood and construction materials along with natural factors such as drought, trees disease, and forest fires are the major driving forces for the forest cover changes in this region.","PeriodicalId":254581,"journal":{"name":"2020 International Conference on Computer Science and Software Engineering (CSASE)","volume":"241 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124654286","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

Machine Learning to Derive Complex Behaviour in Agent-Based Modellzing 基于agent的建模中复杂行为的机器学习

2020 International Conference on Computer Science and Software Engineering (CSASE) Pub Date : 2020-04-01 DOI: 10.1109/CSASE48920.2020.9142117

E. Augustijn, S. Abdulkareem, Mohammed Hikmat Sadiq, A. A. Albabawat

{"title":"Machine Learning to Derive Complex Behaviour in Agent-Based Modellzing","authors":"E. Augustijn, S. Abdulkareem, Mohammed Hikmat Sadiq, A. A. Albabawat","doi":"10.1109/CSASE48920.2020.9142117","DOIUrl":"https://doi.org/10.1109/CSASE48920.2020.9142117","url":null,"abstract":"The use of machine learning algorithms to enrich agent-based models has increased over the past years. This integration adds value when combining the advantages of the data-driven approach and the possibilities to explore future situations and human interventions. However, this integrating is still in its infant stage. Full integration of learning algorithms and agent-based models is often technically challenging and can make the behavioural rules of the agents less transparent. Experiments are needed in which different integration strategies are compared using the same agent-based model to determine when each of these approaches is most effective. In this paper, we present a comparison of two versions of the same cholera model. In the initial version, agent behaviour was driven directly by a learning algorithm. In our experiments, we replace this strategy by applying a learning algorithm directly on the data and implement the outcomes as behaviour rules in the model. The results showed that when the integration aims to create agents that show characteristics that are data-driven, deriving rules based on these data is a good alternative. In addition, a key element in this strategy is the dataset. A large dataset representing the behaviour of different types of agents over the complete time period is needed.","PeriodicalId":254581,"journal":{"name":"2020 International Conference on Computer Science and Software Engineering (CSASE)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124659688","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

Algorithms of Experimental Medical Data Analysis 实验医学数据分析算法

2020 International Conference on Computer Science and Software Engineering (CSASE) Pub Date : 2020-04-01 DOI: 10.1109/CSASE48920.2020.9142094

Y. Hamad, Mohammed N. Qasim, Ayvar A. Rashid, Mohammed E. Seno

{"title":"Algorithms of Experimental Medical Data Analysis","authors":"Y. Hamad, Mohammed N. Qasim, Ayvar A. Rashid, Mohammed E. Seno","doi":"10.1109/CSASE48920.2020.9142094","DOIUrl":"https://doi.org/10.1109/CSASE48920.2020.9142094","url":null,"abstract":"The paper is devoted to the development of a computational technique for assessing the performance of tissue regeneration in an experiment using mesh nickel-titanium implants with shape memory. Observational data obtained from electron microscopy and classical histological examination are processed and analyzed by the use of proprietary algorithms and their modifications. This can significantly facilitate the procedure of data analysis and increase the accuracy of the estimates by 5–10%. As a computational method for examining the dynamics of the studied process and determining the internal geometrical characteristics of empirical images of objects concerned, the suggested technique includes algorithms of shearlet transform, wavelet transform and construction of elastic maps for efficient visualization of spatial data. The significant part of the recommended method is the computing means of visual data preprocessing for increasing the brightness and contrast of the examined images based on the Retinex technology. This part has a significant impact on the quality of applying the tools of the computer-based evaluation presented in this work.","PeriodicalId":254581,"journal":{"name":"2020 International Conference on Computer Science and Software Engineering (CSASE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123144221","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

CSASE 2020 Keynote Speakers-1 CSASE 2020主题演讲嘉宾-1

2020 International Conference on Computer Science and Software Engineering (CSASE) Pub Date : 2020-04-01 DOI: 10.1109/csase48920.2020.9142107

引用次数: 0

CSASE 2020 Cover Page CSASE 2020封面页

2020 International Conference on Computer Science and Software Engineering (CSASE) Pub Date : 2020-04-01 DOI: 10.1109/csase48920.2020.9142063

引用次数: 0

SAR Image Denoising Based on WB-Filter 基于wb滤波器的SAR图像去噪

2020 International Conference on Computer Science and Software Engineering (CSASE) Pub Date : 2020-04-01 DOI: 10.1109/CSASE48920.2020.9142114

Shelan Kamal Ahmed, Serwan Ali Bamerni

引用次数: 1

Plant Leaf Diseases Detection and Classification Using Image Processing and Deep Learning Techniques 基于图像处理和深度学习技术的植物叶片病害检测与分类

2020 International Conference on Computer Science and Software Engineering (CSASE) Pub Date : 2020-04-01 DOI: 10.1109/CSASE48920.2020.9142097

M. A. Jasim, J. M. Al-Tuwaijari

引用次数: 59

Speed Limit Camera Monitoring/Tracking System Using SaaS Cloud Computing Module and GPS 使用SaaS云计算模块和GPS的限速摄像头监控/跟踪系统

2020 International Conference on Computer Science and Software Engineering (CSASE) Pub Date : 2020-04-01 DOI: 10.1109/CSASE48920.2020.9142048

A. Sallow, Zhvan A. Sulaiman, Nzar N. Ali, Shaban I. Ismael

{"title":"Speed Limit Camera Monitoring/Tracking System Using SaaS Cloud Computing Module and GPS","authors":"A. Sallow, Zhvan A. Sulaiman, Nzar N. Ali, Shaban I. Ismael","doi":"10.1109/CSASE48920.2020.9142048","DOIUrl":"https://doi.org/10.1109/CSASE48920.2020.9142048","url":null,"abstract":"The number of accidents is rising daily along with the expanding driver and passenger safety concerns. The countries that have successfully reduced road traffic risk have embraced a ’systems approach’ to road safety. Speed is at the core of the road safety problem. There is a strong relationship between speed and both the number of crashes and the severity of the consequences of a crash. This paper suggests a solution to increase safety with a speed limit camera monitoring/tracking system using Global Positioning System (GPS) and cloud computing with the Software-as-a-Service (SaaS) module which provides useful information about roads. Critical information like driver position is collected by the GPS build-in the device for Android or iOS systems, then this information is sent to a cloud server where it is kept over the Internet. This system provides precise location services of the driver, driving speed, road allowed speed and speed limit camera position all to provide the driver with a street guide to improve speed limit enforcement aiding in road safety and preventing more accidents. The proposed system was tested by implementing it by many drivers at Duhok and Zakho provinces using the System Usability Scale (SUS) method with the subscription of 30 potential system users. Results of the SUS showed a relatively high rate of user satisfaction at around 75.58%.","PeriodicalId":254581,"journal":{"name":"2020 International Conference on Computer Science and Software Engineering (CSASE)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127381028","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

Implementing a Super Decisions Software (SDS) in a Transport Sector 在运输部门实施超级决策软件(SDS)

2020 International Conference on Computer Science and Software Engineering (CSASE) Pub Date : 2020-04-01 DOI: 10.1109/CSASE48920.2020.9142056

Nabil T. Ismael, A. M. Abdulwahab, Firas Alrawi, Khaldoon Abdulqader Alqessi

{"title":"Implementing a Super Decisions Software (SDS) in a Transport Sector","authors":"Nabil T. Ismael, A. M. Abdulwahab, Firas Alrawi, Khaldoon Abdulqader Alqessi","doi":"10.1109/CSASE48920.2020.9142056","DOIUrl":"https://doi.org/10.1109/CSASE48920.2020.9142056","url":null,"abstract":"Most planning studies used traditional methods for differentiation and evaluation between alternatives and proposals for decision-making and determining the best alternative. One of the disadvantages of these methods is their significant reliance on subjectivity and linear evaluation to compare alternatives and the weak importance of measuring other effects between and within alternatives. It also involves costs, time, and effort to make the most accurate decision. This research attempts to highlight the importance of one of the computer methods used to compare alternatives and identify the best, especially in the transport sector, by applying the Analytic Network Process ANP method using the super decision software SDS. It is characterized by an organized and analytical method to address a wide range of factors rather than relying on intuition to assess the unperceived factors. This is making it a tool to support the decision-making process of complex situations, through the existence of interrelated relationships between elements within a network system. To implement the SDS as an application in the field of transportation, the research suggested three alternatives to construct parking in the Baghdad city center. With a set of primary and secondary criteria, by creating a decision-making structure to extract the relative weights of criteria and priority, thus choosing the best alternative. After the implementation, the software, one of the alternatives, was selected and demonstrated the importance of this application in transport sector studies in particular and planning in general.","PeriodicalId":254581,"journal":{"name":"2020 International Conference on Computer Science and Software Engineering (CSASE)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127490576","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

The Impact of Filter Size and Number of Filters on Classification Accuracy in CNN 过滤器大小和过滤器数量对CNN分类精度的影响

2020 International Conference on Computer Science and Software Engineering (CSASE) Pub Date : 2020-04-01 DOI: 10.1109/CSASE48920.2020.9142089

Wafaa Ahmed, A. Karim

引用次数: 30