2022 IEEE 13th International Conference on Software Engineering and Service Science (ICSESS)最新文献_第4页

Design of A Cloud-Based Cyber-Physical System for Collecting and Analyzing River Water Samples 基于云的河流水样采集与分析信息物理系统设计

2022 IEEE 13th International Conference on Software Engineering and Service Science (ICSESS) Pub Date : 2022-10-21 DOI: 10.1109/ICSESS54813.2022.9930273

Cristian Guillermo Paredes Olivera, Eulogio Guillermo Santos de la Cruz, Félix Melchor Santos López, Víctor Genaro Rosales Urbano

{"title":"Design of A Cloud-Based Cyber-Physical System for Collecting and Analyzing River Water Samples","authors":"Cristian Guillermo Paredes Olivera, Eulogio Guillermo Santos de la Cruz, Félix Melchor Santos López, Víctor Genaro Rosales Urbano","doi":"10.1109/ICSESS54813.2022.9930273","DOIUrl":"https://doi.org/10.1109/ICSESS54813.2022.9930273","url":null,"abstract":"Water is a natural resource of great importance in Peru, since in addition to being used for human consumption, it has a fundamental role in agriculture and cattle raising. This paper proposes a design for a functional cyber-physical system that allows for the collection and storage of samples of water from strategic points in a river to analyze whether the contaminants are within the permitted limits. This system is based on the Internet of Things technology, which will facilitate the storage and transmission of the collected data. If agents that present a high probability of contamination are detected, an alarm will be triggered and the sample will be flagged so that the river water can be monitored in real time. The design of the system was developed using the attribute-based design methodology. Therefore, the software architecture allows for the establishment of a successful connection with a physical system and the transmission of data between these two systems.","PeriodicalId":265412,"journal":{"name":"2022 IEEE 13th International Conference on Software Engineering and Service Science (ICSESS)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132743293","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

Analysis and Correction of Micro CT Images for 3D Reconstruction 用于三维重建的微CT图像分析与校正

2022 IEEE 13th International Conference on Software Engineering and Service Science (ICSESS) Pub Date : 2022-10-21 DOI: 10.1109/ICSESS54813.2022.9930250

Adamu Abubakar Abba, Zhili Chen, Dong An

{"title":"Analysis and Correction of Micro CT Images for 3D Reconstruction","authors":"Adamu Abubakar Abba, Zhili Chen, Dong An","doi":"10.1109/ICSESS54813.2022.9930250","DOIUrl":"https://doi.org/10.1109/ICSESS54813.2022.9930250","url":null,"abstract":"In Micro Computed Tomography (Micro-CT), which is a non-destructive technique used to reveal the 3D profile of an object, image slices are often the result of the procedure. Subsequently, to retrieve the original object, 3D reconstruction is typically carried out, where by these slices are often combined in one form or another, using various techniques such as photogrammetry to eventually reproduce the object. Due to its high-spatial scale, the microtomography procedure is usually prone to some misalignment issues that are induced by the mechanical operation of the system itself and result in errors in the image slices produced. This paper focuses particularly on analyzing the image slices produced and attempts to detect and correct the abnormalities by implementing a detection and correction pipeline. A total of1441 electronic circuit-board image slice dataset were used in the experiment. We adopted a deep-learning method, by building and training a custom cGAN based Pix2Pix network. The network was trained in a supervised setting, using consecutive image pairs as sources and targets respectively. It was designed to implicitly learn the transform for each consecutive image pair, such that after training, a source image could be fed to the model to generate a predicted target-PRIME image that would serve as the correction for a detected abnormal target image flagged based on a pre-selected threshold score value. Using the selected threshold score, 48 abnormal images were eventually successfully detected and corrected.","PeriodicalId":265412,"journal":{"name":"2022 IEEE 13th International Conference on Software Engineering and Service Science (ICSESS)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132847711","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

Optimized Proportioning Method of Wind and PV Considering the Delivery Capacity of Renewable Energy Transmission Channel 考虑可再生能源传输通道输送能力的风电光伏优化比例方法

2022 IEEE 13th International Conference on Software Engineering and Service Science (ICSESS) Pub Date : 2022-10-21 DOI: 10.1109/icsess54813.2022.9930223

Zhang Lu, Shi Shaowei

{"title":"Optimized Proportioning Method of Wind and PV Considering the Delivery Capacity of Renewable Energy Transmission Channel","authors":"Zhang Lu, Shi Shaowei","doi":"10.1109/icsess54813.2022.9930223","DOIUrl":"https://doi.org/10.1109/icsess54813.2022.9930223","url":null,"abstract":"Large-scale renewable energy in Jibei Grid is collected and sent out through the power transmission channel, and the installed capacity of renewable energy far exceeds the capacity of the channel. Because of the limit of renewable energy transmission channels delivery ability, improving the installed capacity of renewable energy and ensuring the consumption and delivery of renewable energy has become an urgent problem to solve This paper analyzes the output characteristics of wind power and PV in the renewable energy transmission channel in Jibei district, and defines two characteristic indexes: effective output and guaranteed output. Aiming at the maximum scale of renewable energy, a optimized proportioning method of wind and PV considering the delivery capacity of renewable energy transmission channel is proposed in this paper. Through the analysis of typical examples, it can be seen that by reducing the effective output of renewable energy, the installed scale of renewable energy can be increased and the renewable energy transmission can be guaranteed when the channel transmission capacity is determined. The method proposed in this paper improves the collection capacity and utilization efficiency of renewable energy channels, reduces the number and investment of renewable energy transmission projects, and has good application value in the actual power grid planning.","PeriodicalId":265412,"journal":{"name":"2022 IEEE 13th International Conference on Software Engineering and Service Science (ICSESS)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130012881","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

Geometric Correction of Aerial Camera and LiDAR Hybrid System Data Using GNSS/IMU 基于GNSS/IMU的航空相机和激光雷达混合系统数据几何校正

2022 IEEE 13th International Conference on Software Engineering and Service Science (ICSESS) Pub Date : 2022-10-21 DOI: 10.1109/ICSESS54813.2022.9930276

E. Rewehel, Jianqiang Li, H. Keshk, Ahmed Saad Kotb, Ihab Samir, Amal Hamd

{"title":"Geometric Correction of Aerial Camera and LiDAR Hybrid System Data Using GNSS/IMU","authors":"E. Rewehel, Jianqiang Li, H. Keshk, Ahmed Saad Kotb, Ihab Samir, Amal Hamd","doi":"10.1109/ICSESS54813.2022.9930276","DOIUrl":"https://doi.org/10.1109/ICSESS54813.2022.9930276","url":null,"abstract":"This paper aimed to present the geometric correction of a hybrid system data of an airborne which is equipped with Global Navigation Satellite System (GNSS), Inertial Measurement Unit (IMU), optical camera, and a LiDAR. For a realistic representation of a geographic area by combining optical and LiDAR data, captured with airborne system, we need, first of all, to geometrically correct sensors data, the optical (passive) and the LiDAR (active). Due to the high resolution of the captured images that cover the study area in Maghagha city, Egypt, more than 500 images were used, and each image has more than 400 MBs in size. The need for automatic processing is considered the best way of tackling these large volumes of satellite images. The proposed Automated GCP-based Geometric Correction (AGGC) method provides accurate and rapid processing of these massive amounts of data more than the manual GC method that implements Least-Squares Fitting (LSF) algorithm. For validation, ground truth was used, and data given by GNSS measurement. The experimental results indicate that this proposed method improves the overall accuracy. Our work is not only limited to Maghagha city, but it can also be applied on any new coming satellite images in any part of the world.","PeriodicalId":265412,"journal":{"name":"2022 IEEE 13th International Conference on Software Engineering and Service Science (ICSESS)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122381607","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

Multi-scale Context Feature Based Change Detection Method for Remote Sensing Images 基于多尺度上下文特征的遥感图像变化检测方法

2022 IEEE 13th International Conference on Software Engineering and Service Science (ICSESS) Pub Date : 2022-10-21 DOI: 10.1109/ICSESS54813.2022.9930265

Ruijie Yan, Lili Zhang

{"title":"Multi-scale Context Feature Based Change Detection Method for Remote Sensing Images","authors":"Ruijie Yan, Lili Zhang","doi":"10.1109/ICSESS54813.2022.9930265","DOIUrl":"https://doi.org/10.1109/ICSESS54813.2022.9930265","url":null,"abstract":"Remote sensing image change detection plays an important role in many fields such as land detection, disaster assessment and urban construction planning. However, most of change detection methods just identify the change region but no the change type. In order to obtain the change region and the change type simultaneously, we propose a multi-scale context feature based change detection method in this paper. And the key part of the method is the multi-scale context aggregation network, which is composed of feature extraction module, attention mechanism module and spatial pyramid pooling module. The feature extraction module is based on HRNet, and we use partial convolution with depthwise separable convolution to reduce the parameters of the model and match the limited dataset. The attention mechanism module is used to efficiently select distinguishing features and the spatial pyramid pooling module is used to strengthen the ability of the model to segment objects with different scales. The experiments demonstrate the superiority of our method and the accuracy of the change detection is up to 86%.","PeriodicalId":265412,"journal":{"name":"2022 IEEE 13th International Conference on Software Engineering and Service Science (ICSESS)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123930353","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

A Cross-platform Errand Service Application for Campus with a Dual-user Identity Model 基于双用户身份模型的跨平台校园跑腿服务应用

2022 IEEE 13th International Conference on Software Engineering and Service Science (ICSESS) Pub Date : 2022-10-21 DOI: 10.1109/ICSESS54813.2022.9930264

Chenliang Tian, Xinyi Fang, Xu Yang, Yapeng Wang

{"title":"A Cross-platform Errand Service Application for Campus with a Dual-user Identity Model","authors":"Chenliang Tian, Xinyi Fang, Xu Yang, Yapeng Wang","doi":"10.1109/ICSESS54813.2022.9930264","DOIUrl":"https://doi.org/10.1109/ICSESS54813.2022.9930264","url":null,"abstract":"With the development of the food delivery industry and the impact of the global Covid-19 pandemic in recent years, the demand for errand service platform has been progressively growing. However, due to crowd control policies during epidemics in China, off-campus personnel are unable to enter the campus, resulting in the current public errand service application invalid in campus. In this circumstance, students who need the errand service can only post the errand requests in chatting groups or use the mini-programs embedded in WeChat. Both approaches, however, have significant flaws. Therefore, a specific errand service application for campus is desired. In this paper, an errand services application named AoAoRun is developed for university students and faculties on campus using a dual-user identity model, making it possible for both students and faculties to become the service provider and the service recipients. It integrates and organizes the needs of errand services, providing a safe and user-friendly platform. In addition, unlike current errand service platforms, this application uses blockchain technology for data backup and credit scores system. This credit system gives higher priority to orders posted by users with higher credit scores. Finally, 53 volunteers participate in the user testing of the application. The test results show that AoAoRun greatly improves the utilization of resources and increases the efficiency of students’ study and life.","PeriodicalId":265412,"journal":{"name":"2022 IEEE 13th International Conference on Software Engineering and Service Science (ICSESS)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124143781","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

Prediction Model of Yellow Rice Wine Raw Material Index Content Based on Depth Feature Selection Technology 基于深度特征选择技术的黄酒原料指标含量预测模型

2022 IEEE 13th International Conference on Software Engineering and Service Science (ICSESS) Pub Date : 2022-10-21 DOI: 10.1109/ICSESS54813.2022.9930322

Liang Peng, Kang Zhou, Wangyang Shen, Weiping Jin, Qing Zhao, Guangbin Li

引用次数: 0

Synchronous Condenser Configuration Method for Power Grid Voltage Support Strength Improvement 提高电网电压支撑强度的同步冷凝器配置方法

2022 IEEE 13th International Conference on Software Engineering and Service Science (ICSESS) Pub Date : 2022-10-21 DOI: 10.1109/ICSESS54813.2022.9930255

Shi Shaowei, Zhang Lu

{"title":"Synchronous Condenser Configuration Method for Power Grid Voltage Support Strength Improvement","authors":"Shi Shaowei, Zhang Lu","doi":"10.1109/ICSESS54813.2022.9930255","DOIUrl":"https://doi.org/10.1109/ICSESS54813.2022.9930255","url":null,"abstract":"With the integration of large-scale renewable energy, the weak support of renewable energy power generation equipment makes the grid voltage support strength difficult to meet the needs of safe and stable operation. By configuring synchronous condensers, the voltage strength of the power grid can be effectively increased, but in power transmission channel planning and building, there is a lack of feasible synchronous condenser configuration methods. Based on the evaluation effect of multiple renewable energy stations short circuit ratio (MRSCR) on grid voltage support strength, considering the the limits of curtailment rate, this paper proposed a distributed hybrid optimal configuration method based on the quantitative index of grid voltage support strength. This method can significantly increase the grid voltage support strength after the renewable energy is connected by configuring synchronous condensers with a smaller total capacity. Combined with the calculation results of full electromagnetic simulation and electromechanical transient simulation of typical examples, it can be seen that the synchronous condenser configuration method proposed in this paper can effectively increase the grid voltage support strength and ensure the curtailment rate of the renewable energy transmission channel meeting the need of national requirement.","PeriodicalId":265412,"journal":{"name":"2022 IEEE 13th International Conference on Software Engineering and Service Science (ICSESS)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128903661","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

Analysis and Design of Distributed Data Cluster System 分布式数据集群系统的分析与设计

2022 IEEE 13th International Conference on Software Engineering and Service Science (ICSESS) Pub Date : 2022-10-21 DOI: 10.1109/ICSESS54813.2022.9930179

Q. Hu

引用次数: 0

A Survey of Research on the Distributed Cooperation Method of the UAV Swarm based on Swarm Intelligence 基于群体智能的无人机群分布式协作方法研究综述

2022 IEEE 13th International Conference on Software Engineering and Service Science (ICSESS) Pub Date : 2022-10-21 DOI: 10.1109/ICSESS54813.2022.9930182

Li Ma, Bin Lin, W. Zhang, Jingjing Tao, Xiaomin Zhu, Haoting Chen

引用次数: 1