2021 International Conference on Communication & Information Technology (ICICT)最新文献

{"title":"Decision-making systems based on FWQI to assess of drinking water in Basrah - Iraq","authors":"H. Alasadi, Mustafa S. Khalefa, M. Abed, Hind S. Rahim","doi":"10.1109/ICICT52195.2021.9568485","DOIUrl":"https://doi.org/10.1109/ICICT52195.2021.9568485","url":null,"abstract":"Freshwater sources in Basra city in the south of Iraq have become scarce and polluted. There are several physical, chemical and biological factors that determine the portability of water. Engineering challenges in solving environmental problems are increasingly being worked using artificial intelligence (AI) computing methods. In order to assess the applicability of this tool, this paper presents the development of a new water quality index based on the fuzzy water quality index (fuzzy water quality index -FWQI). For measurement of water quality parameters, water samples were taken from twenty water stations located in the centers and outskirts of the province of Basra included the following incomes: acidity level, electrical conductivity, turbidity, temperature, and basal or alkaline. The results revealed the ability of the proposed FWQI to evaluate water quality during the study period compared to other reference indexes. Finally, the proposed indicator can be a useful tool for decision-making and the environment.","PeriodicalId":260292,"journal":{"name":"2021 International Conference on Communication & Information Technology (ICICT)","volume":"7 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":"122716740","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}

{"title":"Study of 5G Networks as a Promising Future Wireless Mobile","authors":"Saif H. Alrubaee, B. Burhan","doi":"10.1109/ICICT52195.2021.9568423","DOIUrl":"https://doi.org/10.1109/ICICT52195.2021.9568423","url":null,"abstract":"through the new wireless generation technology is required to composition fifth generation base station and the configuration all of that base station This procedure takes into account many qualifications, such as Electromagnetic Fields levels radiated by means of the installed base station. the scientist developed many technologies, including theses five major technology, the utilize each of small cells, massive multiple-input, multiple-output, device to device communication, Machine-to-machine communication, and of millimeter Wave band. each one of these technologies have to designed with a constrain of (EMF) aware with a view to promote the network performance. This paper provides an elaborate survey concerning the fifth-generation network and relating to the prospect health peril related with Electromagnetic Fields exposure and the various metrics that are actually utilized for estimating the impacts of this sort of exposition on the public. likewise, challenges are illustrated and several EMF constraints are mentioned. This paper as well reviews the probable impacts of new 5G technologies (mm wave) exposure on human body together with focusing on physiological impacts (human skin) and biological impact (immune system).","PeriodicalId":260292,"journal":{"name":"2021 International Conference on Communication & Information Technology (ICICT)","volume":"18 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":"123392620","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}

{"title":"Mobile Attendance Recording System using IoT to aid in Social Distancing","authors":"Ohood Sabr, David Sam","doi":"10.1109/ICICT52195.2021.9568422","DOIUrl":"https://doi.org/10.1109/ICICT52195.2021.9568422","url":null,"abstract":"The recording of attendance is an essential part of many employees' daily work process. This is not limited to the workplace and extends to academic institutions such as schools and universities. Recording attendance at the workplace has become automated in many industries using a range of biometric technologies. A key part of these methods is that there is a high amount of human contact involved ranging from the sharing of scanners to queuing and/or crowding at key entrances and exits. This is a problem in a viral pandemic where airborne and surface to person transmission is possible. Due to the covid-19 pandemic in 2020, many places have stopped using these biometric attendance technologies and a few have reverted to use other methods like pen and paper. This is a partial solution as they still involve crowding and the unnecessary sharing of surfaces. Using the concept of the Internet of Things (IoT) and the IBM cloud, an android app has been created to help solve this problem so users can use their personal mobile devices in place of existing biometric technology. The proposed solution system uses existing mobile phone technology to run an application that will enable users to record their attendance via Wi-Fi without the need to queue or share surfaces. Being able to utilize mobile devices already owned by the users makes this a cheap and easy system to implement to achieve the goal of accurate attendance recording. The results obtained show the system gives high accuracy in recording the attendance while minimizing human contact with others in the working place with low cost, and less complexity.","PeriodicalId":260292,"journal":{"name":"2021 International Conference on Communication & Information Technology (ICICT)","volume":"26 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":"115108062","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}

{"title":"Impact of Asphalt Layer and Glass Thickness on the Thermal Storage of Pavement","authors":"Dheva Abdulamer, W. Alani, A. Kadauw, S. Omran, A. Alhraishawi","doi":"10.1109/ICICT52195.2021.9568449","DOIUrl":"https://doi.org/10.1109/ICICT52195.2021.9568449","url":null,"abstract":"The asphalt mixture has good absorption property, it is a promise material for the thermal applications. In this study, influence of the solar radiation on the thermal storage capability of the pavement was investigated numerically by using a commercial finite element software. The numerical simulation depends mainly on geometry of the asphalt layer and glass cover. Effect of three parameters of the solar intensity, thickness of the asphalt layer and glass cover have been investigated. It is found that highest surface temperature reaches into 96°C of the pavement which has 100 mm thickness of the asphalt layer and 25 mm of the glass cover, and their surface exposed into 800 W/m2 of the solar radiation. In contrast of the asphalt thickness, increment of the glass cover thickness has a slight effect on enhancement of the pavement surface temperature. The purpose of placing the glass cover on the asphalt layer is lowering of the heat dissipation from the asphalt layer into the surrounding environment.","PeriodicalId":260292,"journal":{"name":"2021 International Conference on Communication & Information Technology (ICICT)","volume":"23 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":"125764180","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}

{"title":"Information Security based on DNA - Importance and Future Trends","authors":"S. Sadkhan","doi":"10.1109/ICICT52195.2021.9568408","DOIUrl":"https://doi.org/10.1109/ICICT52195.2021.9568408","url":null,"abstract":"Information security is very vital in today's digital era of e-commerce and e-business, multiple cryptographic techniques are used for security the data over the network. In another side, there are variant techniques to attack the encryption techniques. Most of the traditional techniques that used in solving scientific problems, especially in the cryptology field, suffers from many limitations, so, it's helpless to solve the difficult and complex scientific problems. As a result of scientist's efforts to solve this complex problem in the world, they employed a new technology, some of them are natural inspire. DNA technology is one from the new computations, such as quantum and membrane computing, DNA cryptology is one of the rapid emerging technologies which works on concepts of DNA computing. DNA computing is a new technique for securing data was introduced using the biological structure of DNA and its biological operations (also called molecular or biological computing). The aim of this paper is to survey the important works produced in the DNA cryptology field, in the both subfields, cryptography and cryptanalysis.","PeriodicalId":260292,"journal":{"name":"2021 International Conference on Communication & Information Technology (ICICT)","volume":"1 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":"129864506","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}

{"title":"Multi-User Single-Input Single-Output Scheduling Performance in Long Term Evolution - Vehicle","authors":"A. A. H. Alsabbagh, N. A. Hamid, S. Kurnaz","doi":"10.1109/ICICT52195.2021.9568477","DOIUrl":"https://doi.org/10.1109/ICICT52195.2021.9568477","url":null,"abstract":"Modern wireless communication depends on moving. This means that there is an increasing demand for wireless applications with high data rates and low errors while the user is moving. This is because of the increasing use of online gaming, web browsing, and exchanging data within the network. This increasing demand with the increasing users in the network leads to having a heavy network in some areas and an empty one in other areas. the problem here is that if the new network does not have an available channel to be used, the user performs scheduling to wait until it has a channel to connect. Because of this, studying scheduling algorithms depend on the Quality-of-Service (QoS) of the network becomes an important topic to research. In this paper, three user scheduling algorithms are used to evaluate the performance of a Multi-User Single-Input Single-Output (MU-SISO) network based on the Block Error Rate (BLER) and throughput. The three algorithms are the Maximum Throughput, Round Robin (RR), and Proportional Fair (PF) algorithms. The study is performed under changing the bandwidth of the network and the number of users that connected to the single antenna. The carrier frequency used is the 2.6 GHz to satisfy the Vehicular Long Term Evolution (LTE-V) with the high-speed scenario. The simulation results show that the RR is suitable to use when the highway scenario is used in case of attention to the error rates while the maximum throughput is useful to use when maximizing the network throughput is important.","PeriodicalId":260292,"journal":{"name":"2021 International Conference on Communication & Information Technology (ICICT)","volume":"29 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":"125919453","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}

{"title":"A High Gain Compact Rectangular Patch Antenna For 5G Applications","authors":"S. Ibrahim, Z. T. Jebur","doi":"10.1109/ICICT52195.2021.9568415","DOIUrl":"https://doi.org/10.1109/ICICT52195.2021.9568415","url":null,"abstract":"A lightweight rectangular microstrip patch antenna with high gain and low cross-polarization characteristics for 5G wireless applications is designed using a slotted feed line by proximity coupled feeding and defected ground structure techniques. The proposed model operates in the sub-6GHz (f=3.5GHz) band, with a narrow band of 3.5GHz (210 MHz). The design's dimensions are (43.36×35×1.575) mm3. The radiation efficiency of the antenna is improved by using defected ground structure and slotted strip to increase bandwidth, gain, efficiency, and reduce return loss. The simulation results show a 6.62 dB realized gain and high performance of 89%. Reflection coefficient (S11) and voltage standing wave ratio in this antenna configuration are -21.8 dB and 1.17 dB, respectively, with a -52.4 dB of low cross-polarization.","PeriodicalId":260292,"journal":{"name":"2021 International Conference on Communication & Information Technology (ICICT)","volume":"2012 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":"125645910","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}

{"title":"Covid-19 detection and overcome the scarcity of chest X-Ray datasets based on transfer learning and GAN model","authors":"J. A. Qadir, S. Jameel, Jafar Majidpour","doi":"10.1109/ICICT52195.2021.9568468","DOIUrl":"https://doi.org/10.1109/ICICT52195.2021.9568468","url":null,"abstract":"Diseases which affect the respiratory system are considered some of the most dangerous, since defects in the breathing process may lead to death. Currently, the coronavirus is one of the most complex strains of the corona family of diseases for which, as yet, there is no successful vaccine. Therefore, detecting the virus is of the utmost importance to global health. The use of deep learning techniques is considered to be a successful method by which to diagnose such diseases. However, there is a lack of data which models deep learning techniques required for training. In this paper, we suggest a method for data augmentation based on the CGAN model. To synthesize realistic chest X-ray images, we proposed to set edge information of the image to the generator, which is used as supporting information to increase the reality of the generated images. A MobileNet CNN model was used for diagnosing COVID-19. When this suggestion was applied to chest data, the diagnostic results were very satisfactory which the accuracy exceeds 99% in some cases.","PeriodicalId":260292,"journal":{"name":"2021 International Conference on Communication & Information Technology (ICICT)","volume":"17 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":"131532833","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}

{"title":"Detecting Malicious Behaviour for SANET Based on Artificial Intelligence Algorithms","authors":"M. I. H. Al-Janabi, K. Alheeti, A. Alaloosy","doi":"10.1109/ICICT52195.2021.9568475","DOIUrl":"https://doi.org/10.1109/ICICT52195.2021.9568475","url":null,"abstract":"Attack detection is important for wireless networks and communications generally. Ship ad hoc networks (SANET) are a subset of wireless networks that are vulnerable to denial-of-service attacks. These attacks are one of the main challenges facing maritime networks, specially dedicated networks because of their weak infrastructure, which makes it easier for these networks to be exposed to this type of attack. To maintain a secure connection and increase the durability of that connection, an accurate attack detection system must be built. In this paper, we used machine learning algorithms to classify data as either attack or safe. we generated the dataset by building a scenario for the SANET in the network simulator (ns-2). Ad hoc On-demand Distance Vector (AODV) was used as the routing protocol in this simulation, AODV reduces the burden on the network compared with the other protocols (reduces messages flooding in the network). Three machine learning algorithms which are Logistic Regression, Stochastic Gradient Descent and K-Nearest Neighbors were applied to the dataset and compared with each other in terms of precision in detection, the results show that the machine learning algorithms have the ability to detect attacks with higher performance. The experimental results showed that the data set that was generated with Knn as the base classifier produced the best performance in terms of classification precision by 89%.","PeriodicalId":260292,"journal":{"name":"2021 International Conference on Communication & Information Technology (ICICT)","volume":"35 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":"114449167","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}

{"title":"Twitter APIs for Collecting Data of Influenza Viruses, A Systematic Review","authors":"Iqbal Mohammed, A. S. Abbas","doi":"10.1109/ICICT52195.2021.9568481","DOIUrl":"https://doi.org/10.1109/ICICT52195.2021.9568481","url":null,"abstract":"Twitter has become famous due to its lenient policy for providing data to a variety of beneficiaries, as the retrieved data will be used according to the need and method chosen by the developer or researcher to accomplish their work. Unlike many social media networks, Twitter overcame limitations within its network and applied extra features making the usage of this platform much fun and determine. This paper will not explain Twitter's specifications and characteristics or usage instead, it will focus on describing the methods of aggregating data and demonstrate the main challenges during collecting the huge amount of data available on this platform. The Twitter Application Programming Interface (APIs) will be discussed, concentrating on the most common ones, especially those concerned with scraping and crawling Twitter data. These APIs are bounded and need solutions due to the various kinds of retrievals they make, yet, this paper will explain them and discuss appropriate matters to bypass these constraints. Furthermore, this review focuses on reviewing studies and researches collected from various journals using Twitter data to predict, detect and monitor the outbreak of influenza demonstrating all types of viruses caused it, stating the location of such spread. These flu viruses have been appeared since 2009 starting with Swin flu then H1N1, Avian flu, Flu, lastly and, still exist Covide-19, being discussed on Twitter platform, taking into consideration the launch of Twitter platform was in 2006. The importance of this review is that it shows the gradual emergence of the different dangerous flu viruses spread around the world, showing the history of two things; the appearance of the dangerous flu viruses (in the form of their collected datasets) and the developments and progresses applied to the APIs used for collecting these big datasets from Twitter platform, limitations and, constraints within these APIs are quite different during this period. Several tables abbreviate the most important information gained stating which method is the best and how advanced this process is over the last decade. The final result indicates the increasing number of researches recently and the use of very sophisticated methods to collect tweets, as a result of the emergence of the Coronavirus.","PeriodicalId":260292,"journal":{"name":"2021 International Conference on Communication & Information Technology (ICICT)","volume":"11 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":"133817493","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}