2021 International Conference on Communication & Information Technology (ICICT)最新文献_第2页

Find Edge Map for Medical Images Based on Texture Characteristics 基于纹理特征的医学图像边缘图查找

2021 International Conference on Communication & Information Technology (ICICT) Pub Date : 2021-06-05 DOI: 10.1109/ICICT52195.2021.9568424

S. A. S. Almola

{"title":"Find Edge Map for Medical Images Based on Texture Characteristics","authors":"S. A. S. Almola","doi":"10.1109/ICICT52195.2021.9568424","DOIUrl":"https://doi.org/10.1109/ICICT52195.2021.9568424","url":null,"abstract":"Finding the edges of the images is an important process, especially medical images, to access the image data accurately to find the objects in the image, especially in the analysis and diagnosis processes Detecting edges in noise images is still a very difficult process. Several methods have been introduced to solve the problem, such as Sobel, Prewitt, and canny, but it is still difficult to process noisy images. The current research presents a proposed system designed to detect edges in a medical image and has been applied to medical MRI images. The proposed system consists of two phases, the first phase is the initial processing phase and this process aims to prepare the image for the processors, the second stage of the proposed system, it is the edge detection stage. The edges of the images entered into the system are detected by finding an edge map, and depending on the texture characteristics of the image, as the method used for edge detection is the Laws method and according to the following steps: 1. Create two-dimensional filters.2. The process of circumventing images and laws filters. The efficiency and effectiveness of the proposed system were analyzed through the results of experiments that showed that the performance of the system is very good and gives excellent and accurate results, by comparing the results of the proposed system with traditional methods of edge detection. Results like sobel, prewitt and canny showed that the proposed system gives a better and faster performance.","PeriodicalId":260292,"journal":{"name":"2021 International Conference on Communication & Information Technology (ICICT)","volume":"18 9-10","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114012228","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

Evaluating Machine Learning Algorithms to Detect and Classify Attacks in IoT 评估机器学习算法以检测和分类物联网中的攻击

2021 International Conference on Communication & Information Technology (ICICT) Pub Date : 2021-06-05 DOI: 10.1109/ICICT52195.2021.9568472

M. Mohammed, K. Alheeti

引用次数: 3

Analysis and Implementation of Multiple-Receiver Wireless Power Transfer System 多接收机无线电力传输系统的分析与实现

2021 International Conference on Communication & Information Technology (ICICT) Pub Date : 2021-06-05 DOI: 10.1109/ICICT52195.2021.9568421

M. Mohammed, T. K. Hassan

{"title":"Analysis and Implementation of Multiple-Receiver Wireless Power Transfer System","authors":"M. Mohammed, T. K. Hassan","doi":"10.1109/ICICT52195.2021.9568421","DOIUrl":"https://doi.org/10.1109/ICICT52195.2021.9568421","url":null,"abstract":"Wireless power transmission (WPT) systems research and development have in recent years gained significant attention for its possible future widespread applications. Load independence is one of the most desirable characteristics of a multi-load WPT system. This study develops a multi-load WPT system powered by a Class $E$ power amplifier driven by a buck converter at the transmitter side, which ensures stable power for each receiver load and high efficiency. By setting the transmitter current at a reference value and using a proportional-integral controller for adjustment of buck converter duty cycle to regulate the output DC voltage of buck converter to obtain a constant current of the transmitter. A constant output voltage is achieved in each receiver, and the power supplied to each load remains stable when other loads enter or leave the system. Theoretical analysis, simulation, and experimental verifications are presented to the proposed system. The simulation and experiment results show that when the number of loads changes in the system the power supplied to each load remaining stable and the system's efficiency can reach 90%.","PeriodicalId":260292,"journal":{"name":"2021 International Conference on Communication & Information Technology (ICICT)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123630692","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

People Tracking in a Smart Room Using Kinect Sensor 使用Kinect传感器在智能房间中跟踪人

2021 International Conference on Communication & Information Technology (ICICT) Pub Date : 2021-06-05 DOI: 10.1109/ICICT52195.2021.9567897

Heba A. Salim, Musaab Alaziz, T. Abdalla

引用次数: 1

Mesh Networks and 6G 网状网络和6G

2021 International Conference on Communication & Information Technology (ICICT) Pub Date : 2021-06-05 DOI: 10.1109/ICICT52195.2021.9568493

H. Zaghloul

引用次数: 0

Thresholding and Hybrid CLAHE-HE for Chicken Egg Embryo Segmentation 阈值法和杂交CLAHE-HE在鸡胚分割中的应用

2021 International Conference on Communication & Information Technology (ICICT) Pub Date : 2021-06-05 DOI: 10.1109/ICICT52195.2021.9568444

S. Saifullah, A. P. Suryotomo

{"title":"Thresholding and Hybrid CLAHE-HE for Chicken Egg Embryo Segmentation","authors":"S. Saifullah, A. P. Suryotomo","doi":"10.1109/ICICT52195.2021.9568444","DOIUrl":"https://doi.org/10.1109/ICICT52195.2021.9568444","url":null,"abstract":"This study aims to detect the presence of chicken egg embryos using digital image processing. The detection of chicken egg embryos was processed by image segmentation using the thresholding method. The implementation of this method needs to be supplemented with preprocessing phase using methods such as cropping, grayscaling, intensity adjustment, and histogram equalization (HE). The critical emphasis in this research is on image enhancement using a hybrid of Contrast Limited Additive Histogram Equalization (CLAHE) and HE. Based on comparing CLAHE, HE, hybrid CLAHE-HE, or HE-CLAHE, the optimal result used as input for the segmentation process is hybrid CLAHE-HE. The segmentation results using the thresholding method and hybrid CLAHE-HE showed clear and characteristic pictures of chicken egg embryos incomplete detection. Other methods, such as Otsu and k-means, also showed clear and characteristic pictures of chicken egg embryos. However, in terms of processing speed, the thresholding method was faster than the Otsu and k-means methods. The speed comparisons are thresholding6 seconds). These experiments show that our proposed method (thresholding and hybrid CLAHE-HE) can divide/segment embryonic eggs with significant embryonic characteristics and patterns.","PeriodicalId":260292,"journal":{"name":"2021 International Conference on Communication & Information Technology (ICICT)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128727541","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: 11

Dense Compounded Features and Data Association Based Multiple People Tracking 基于密集复合特征和数据关联的多人跟踪

2021 International Conference on Communication & Information Technology (ICICT) Pub Date : 2021-06-05 DOI: 10.1109/ICICT52195.2021.9568438

Mahmoud Al-Faris, J. Chiverton, D. Ndzi, Mohanad Alhabo

{"title":"Dense Compounded Features and Data Association Based Multiple People Tracking","authors":"Mahmoud Al-Faris, J. Chiverton, D. Ndzi, Mohanad Alhabo","doi":"10.1109/ICICT52195.2021.9568438","DOIUrl":"https://doi.org/10.1109/ICICT52195.2021.9568438","url":null,"abstract":"People tracking is a wide area of research in computer vision and machine learning. The challenging problem of multiple objects tracking (MOT) is further complicated by factors such as occlusion, varying number of targets, illumination variations and objects' appearances which may be similar. In this paper, a significant approach is proposed for MOT with a single static camera based on dense valuable global and local features. This includes cascaded HOG-III features, texture, and motion information of objects in order to build a robust tracking system. To speed up the system, a simple data association method is employed using Hungarian algorithm to associate candidate response to the target objects. Genetic algorithm is also used to provide a heuristic data association based multiple objects tracking. A comparison between two association algorithms is made based on the tracking results. TUD-crossing and TUD-campus datasets are used for validation purposes. A system's performance can be evaluated using a wide metrics of MOT performance indicators (MOTA, MOTP). The results reach (82.89 and 81.96) in terms of TUD-crossing dataset and (79.30 and 73.06) in terms of TUD-campus dataset respectively. The experiments show that the proposed method can be suitably employed during scale changes or in the presence of a cluttered background environment, in addition, our method achieves competitive results in comparison with state of the art approaches.","PeriodicalId":260292,"journal":{"name":"2021 International Conference on Communication & Information Technology (ICICT)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122497548","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

On Distributive Ring and Hereditary Property 论分配环和遗传性质

2021 International Conference on Communication & Information Technology (ICICT) Pub Date : 2021-06-05 DOI: 10.1109/ICICT52195.2021.9568431

S. M. Moteea, Muthana A. Mahmood

引用次数: 0

The Security Challenges with Cognitive Radio Environments for VANETS 认知无线电环境对VANETS的安全挑战

2021 International Conference on Communication & Information Technology (ICICT) Pub Date : 2021-06-05 DOI: 10.1109/ICICT52195.2021.9568469

S. Sadkhan, D. Jabbar

{"title":"The Security Challenges with Cognitive Radio Environments for VANETS","authors":"S. Sadkhan, D. Jabbar","doi":"10.1109/ICICT52195.2021.9568469","DOIUrl":"https://doi.org/10.1109/ICICT52195.2021.9568469","url":null,"abstract":"Vehicle networks have become a prominent research area in Intelligent Transportation System (ITS) due to the nature of and Feature providing a high level of road safety and improved tracking management ITS can provide services to tracking authorities and precautionary measures for drivers and passengers, and VANETs is a new platform with a bright future ahead of it, but it still faces significant obstacles. Furthermore, the most important aspect of cognitive radio networks is security, and it is one of the features that should be given particular consideration, particularly in the field of security. We concentrate on general VANETs protection mechanisms in this article, which is divided into three sections. The first section provides a comprehensive overview of VANETs security features, risks, and requirements. To implement a robust VANETs infrastructure that allows for effective contact between parties, these requirements must be taken into account. Current security architectures and well-known security specification protocols are described in detail. The second approach relies on reclassifying the various VANET attacks and remedies that have been discussed in the literature. The third approach compares each of these innovations in VANETs using well-known security principles. Then we go through some of the open problems and technical challenges surrounding VANETs security, which can help researchers decide whether or not to pursue this field.","PeriodicalId":260292,"journal":{"name":"2021 International Conference on Communication & Information Technology (ICICT)","volume":"1192 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114186452","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

Stream Mining for Network Sensor Data Using Classification and Metaheuristic Techniques 基于分类和元启发式技术的网络传感器数据流挖掘

2021 International Conference on Communication & Information Technology (ICICT) Pub Date : 2021-06-05 DOI: 10.1109/ICICT52195.2021.9568403

Hanin F. Kadham, M. Manaa

{"title":"Stream Mining for Network Sensor Data Using Classification and Metaheuristic Techniques","authors":"Hanin F. Kadham, M. Manaa","doi":"10.1109/ICICT52195.2021.9568403","DOIUrl":"https://doi.org/10.1109/ICICT52195.2021.9568403","url":null,"abstract":"Datastream mining comes to play an integral role in real-time applications. The main sources of the data stream flows are sensors, multimedia and social media. It contains remote sensors, stock markets, tweets, and video surveillance systems. The data stream has distinctive characteristics which include its high speed and very huge volume, in addition to its ability to change over time. It has many challenges, one of which is the concept drift that happens due to the continuous property of data stream. Traditional data mining techniques could not deal with or mine this big, rapid data. The aim of this work is to classify sensor data using metaheuristic and classification techniques. The metaheuristic approach is used to build the balanced chunks of data using Particle Swarm Optimization (PSO) to obtain a better classification accuracy. The meta model formed by the metaheuristic and classification techniques shows an improvement in accuracy performance at a high rate, as compared to non-metaheuristic models. Multiple classifiers have been chosen based on fuzzy function for each chunk to select the optimal one which gives the optimal results with high accuracy. The obtained results show a good performance in terms of classification accuracy for the neural network with 90% and low positive rate.","PeriodicalId":260292,"journal":{"name":"2021 International Conference on Communication & Information Technology (ICICT)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127024624","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