Fahimeh Nezhadalinaei, Lei Zhang, Mohammad Mahdizadeh, Faezeh Jamshidi
{"title":"Motion Object Detection and Tracking Optimization in Autonomous Vehicles in Specific Range with Optimized Deep Neural Network","authors":"Fahimeh Nezhadalinaei, Lei Zhang, Mohammad Mahdizadeh, Faezeh Jamshidi","doi":"10.1109/ICWR51868.2021.9443120","DOIUrl":"https://doi.org/10.1109/ICWR51868.2021.9443120","url":null,"abstract":"Autonomous Vehicles have become increasingly popular around the world in recent years. The potential of this technology is clear and transportation is expected to change dramatically over what is known today. The advantages of Autonomous Vehicles are pollution reduction in urban areas due to improved driving and fuel efficiency to help control traffic flow and parking problems. In addition, Autonomous Vehicles accelerate people and cargo transportation, as well as reducing human errors. There are a variety of issues in the field of Autonomous Vehicles which one of them is the issue of detecting and tracking motion objects as obstacles. In this article, we presented a novel method to optimizing motion objects detection and tracking from the KITTI data set in Autonomous Vehicles in a specific range in between 50 to 80 meters. This approach proposes a real-time and simultaneous structure for motion detection and tracking, so that the data fully enter the combined method called CRF-based Deep Spiking Neural Network with Probabilistic Particle Filter (PPF-DSNN). In fact, CRF-based deep spiking neural network is used to train and test data to extract features and probabilistic particle filtering methods with the aim of detecting and tracking these moving objects. The results represent that proposed approach is highly efficient in comparison to recent methods.","PeriodicalId":377597,"journal":{"name":"2021 7th International Conference on Web Research (ICWR)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133206737","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}
Mahdieh HajilooVakil, Mohammad Javad Khani, Z. Shirmohammadi
{"title":"An Efficient Compression Method to Improve Energy Consumption in WBANs","authors":"Mahdieh HajilooVakil, Mohammad Javad Khani, Z. Shirmohammadi","doi":"10.1109/ICWR51868.2021.9443125","DOIUrl":"https://doi.org/10.1109/ICWR51868.2021.9443125","url":null,"abstract":"One of the most essential services that allow the patient to remotely monitor and check vital signs of the patient to diagnose and treat the patient without physically attending the treatment center is wireless body area networks (WBANs). In WBANs, tiny sensors that charge limited batteries work together. These sensors can be placed on the human body or inside it. Because of limited energy consumption of these sensors, energy efficiency is one of the most critical challenges in WBANs. One way to improve and reduce energy consumption in these sensors is to compress the data. In this paper, a method is presented that is a modification of Huffman method. In this paper, for the first time in the field of Wireless Body Area Networks, Huffman method has been modified to be more compatible with the limitations of Wireless Body Area Networks. Then Modified Huffman method has been implemented on medical data and finally compared with previous methods presented in this field. The results in the diagrams show the Modified Huffman method performs better than the NIS and saves 1770 units of energy more than the NIS method. As a result, compression data using the Modified Huffman method stores 11.8% more energy than the NIS.","PeriodicalId":377597,"journal":{"name":"2021 7th International Conference on Web Research (ICWR)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121836225","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":"Informed intertextuality in the conspiracy theories on Covid-19 within Social Media","authors":"U. Hashmi, R. Ab Rashid, Hassam Ahmad Hashmi","doi":"10.1109/ICWR51868.2021.9443115","DOIUrl":"https://doi.org/10.1109/ICWR51868.2021.9443115","url":null,"abstract":"This paper examines the strategic construction and justifications of conspiracy theories on COVID-19 within social media. This study employed an ethnographic approach and generated data through the observation of purposively selected social media Pages, Groups, and Blogs. The six-month observation from August 2020 to January 2021 yielded 230 postings presenting propaganda against the COVID-19. The data were analyzed using intertextual analysis, drawing upon features of intertextuality. The analysis revealed that the conspiracy theories against COVID-19 are constructed upon five intertextual bases whereby the specific marked intertextuality emerged as the most used technique. The analysis also revealed that manipulation of others texts, obfuscation of intertextual sources, and exploitation of Muslim sentiments are leveraged in the construction of conspiracy theories and digital propaganda against COVID-19.","PeriodicalId":377597,"journal":{"name":"2021 7th International Conference on Web Research (ICWR)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126022735","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":"On-demand Test as a Web Service Process (OTaaWS Process)","authors":"Elahe Habibi, S. Mirian-Hosseinabadi","doi":"10.1109/ICWR51868.2021.9443109","DOIUrl":"https://doi.org/10.1109/ICWR51868.2021.9443109","url":null,"abstract":"Service-Oriented Architecture (SOA) is a software design framework where distributed services are provided and used by applications over a network. By using this architecture new challenges appeared for software testing. Lack of access to the source code and runtime binding are examples of these challenges. Functional testing of services assures the quality of service-oriented applications. In this paper, we introduce a new 3-phase consumer and provider contract-based process for web service testing to overcome SOA testing challenges. Our proposed process, namely OTaaWS, consists of Test Automation, Test Execution and Test Management steps on the provider’s side, which can be done on-demand. Using this process, we have run the suggested test as a web service on a simple application called Get Committee Information using two web services. As a result, two of the total generated test cases (25 test cases) related to web service #1, are failed due to the functionality changes of this web service.","PeriodicalId":377597,"journal":{"name":"2021 7th International Conference on Web Research (ICWR)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127264064","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}
Mohammad Heydari, Mohsen Khazeni, Mohammad Ali Soltanshahi
{"title":"Deep Learning-based Sentiment Analysis in Persian Language","authors":"Mohammad Heydari, Mohsen Khazeni, Mohammad Ali Soltanshahi","doi":"10.1109/ICWR51868.2021.9443152","DOIUrl":"https://doi.org/10.1109/ICWR51868.2021.9443152","url":null,"abstract":"Recently, interests in the appliance of deep learning techniques in natural language processing tasks considerably increased. Sentiment analysis is one of the most difficult tasks in natural language processing, mostly in the Persian Language. Thousands of websites, blogs, social networks like Telegram, Instagram and Twitter update, and modify by Persian users around the world that contains millions of contexts. To extract knowledge of these huge amounts of raw data, Deep Learning techniques became increasingly popular but there is a number of challenges that the novel models encounter with them. In this research, a hybrid deep learning-based sentiment analysis model proposed and implemented on customer reviews data of Digikala Online Retailer website. We already applied the classifier based on various deep learning networks and regularization techniques. Finally, by utilizing a hybrid approach, we achieved the best performance of 78.3 of F1 score on three different classes: positive, negative, and neutral.","PeriodicalId":377597,"journal":{"name":"2021 7th International Conference on Web Research (ICWR)","volume":"116 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117268091","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}
Saeid Ghasemshirazi, Ghazaleh Shirvani, Saeed Raisi
{"title":"MC-GAN: A Reimplementation of GameGAN With a Gaming Perspective","authors":"Saeid Ghasemshirazi, Ghazaleh Shirvani, Saeed Raisi","doi":"10.1109/ICWR51868.2021.9443138","DOIUrl":"https://doi.org/10.1109/ICWR51868.2021.9443138","url":null,"abstract":"Creating games is a costly process involving tons of vigorous efforts, time, and resources. Different game engines were introduced to facilitate the game-making process, such as Unreal Engine, Unity, and Godot. However, despite the advent of game engines, the vacuum of automatically creating new games by computers was still felt. With artificial intelligence (AI) development and its growing presence in the industry, game developers made a new game development branch using AI. One of the essential steps in this context was the introduction of GameGAN, which inspired us for this article. Here we propose Multi-Class GamgeGan(MC-GAN), a starting point for the next generation of game engines based on GameGAN. In addition, MC-GAN is capable of classifying each desired game element and even changing its class to change the element’s nature (e.g., MC-GAN can change static elements to dynamic ones). Moreover, MC-GAN uses only one complex model trained once per game. Once it is trained for that specific game, there will be no need for training to produce a new level of that game, a considerable step in the developing industry. Considering that MC-GAN is only the beginning of this big journey; therefore, it is now the best choice for developing web games since they are compact and straightforward. This article first briefly introduces GamGAN and its features; afterward, we get through MC-GAN features and compare them to other similar works.","PeriodicalId":377597,"journal":{"name":"2021 7th International Conference on Web Research (ICWR)","volume":"77 6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113933234","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":"Subjective Logic-Based Model to Consider Uncertainty in Information Diffusion","authors":"Pooria Taghizadeh Naderi, F. Taghiyareh","doi":"10.1109/ICWR51868.2021.9443155","DOIUrl":"https://doi.org/10.1109/ICWR51868.2021.9443155","url":null,"abstract":"Information diffusion is attracting considerable interest due to the growth of social media. The correct model of this process helps predict the acceptance of a product or idea in societies and makes us understand what features could boost information spreads in the networks. We intend this to be a reason for testing the effect of users’ uncertainty about the information on the diffusion process. In an attempt to add uncertainty to prior models, we used subjective logic, which enabled us to model different types of users. We achieved that the speed of information diffusion is correlated with a level of users’ uncertainty. The upshot of this is the possibility that we could propagate a piece of information throw the network faster if we reduced the users’ uncertainty.","PeriodicalId":377597,"journal":{"name":"2021 7th International Conference on Web Research (ICWR)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131427780","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":"An Importance-Performance Analysis of Factors Affecting the Performance of Knowledge Collaboration in Virtual Teams Among the Scientific Activists in Iran’s Agricultural Field","authors":"Shirin Fereidoonian, H. Yazdani, S. Jafari","doi":"10.1109/ICWR51868.2021.9443127","DOIUrl":"https://doi.org/10.1109/ICWR51868.2021.9443127","url":null,"abstract":"Knowledge collaboration (KC) is an essential concept for improving knowledge management, emphasizing not only the efficiency of knowledge but also the effectiveness. In many companies, KC is facing new challenges, especially in virtual teams’ performance. The Importance-Performance Analysis (IPA) matrix is a useful tool to help managers overcome this issue. This study aims to determine the importance-performance of the factors affecting KC in virtual teams among Iranian scientific activists in the agricultural field to give the managers a strategic perspective and improve the KC performance in virtual work teams. Electronic questionnaires were distributed and collected. Using the mean-test, through the IPA matrix, the data was analyzed. Findings were demonstrated for each affecting factor. Then based on the analysis, management suggestions are proposed to improve KC performance. The IPA grids illustrated that the value factor fell into the \"concentrate here\" quadrant, which is the most strategic part for managers to focus on. This study enhances the theory of KC and provides a practical reference for managing KC in virtual teams. Using the extracted reports from the IPA, managers can have a proper perspective to take action in their future knowledge management strategies.","PeriodicalId":377597,"journal":{"name":"2021 7th International Conference on Web Research (ICWR)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114188438","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":"Identifying the Obstacles of Implementing E-Learning in Iraqi Universities","authors":"G. Montazer, Yasser Kareem Al-Rikabi","doi":"10.1109/ICWR51868.2021.9443154","DOIUrl":"https://doi.org/10.1109/ICWR51868.2021.9443154","url":null,"abstract":"Technological complexity and developments in the information and knowledge revolution, the implications of globalization and the secretions of demographic changes in the world have a great impact on educational institutions and universities. Based on the development of skills and experiences through the adoption of several strategies which including the integration of Information and Communication Technology (ICT) in the educational process and adaption of e-learning as a result of their great influence in the details of the contemporary human society. Higher education in Iraq went through a crisis as a result of difficult general conditions due to wars, which led to a general delay in the educational process in terms of developing and improving Information System and Technologies in Iraqi universities. The use of ICT in education is a systematic and structured process to improve its quality where helps to visualize, implement and evaluate the educational process and helps to implement modern educational system and it also includes educational materials that regulate work, relationships and the behavior of all participants in this process. The process of adopting an e-learning system requires a fertile environment for the success of the application this project. Therefore, this study aims to identifying the obstacles that led to delay in the integrated implementation of the e-learning system and presenting appropriate solutions for weaknesses and setback of implementation. This paper describes the historical development of higher education, e-learning system, the obstacles of implementing of e-learning and its contribution in Iraq, the obstacles of ICT progress in the Iraqi higher education sector and suggested solutions.","PeriodicalId":377597,"journal":{"name":"2021 7th International Conference on Web Research (ICWR)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129674486","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":"Relationship Between Preferred Colors of Online Users on Websites and Their Cultural Features","authors":"Neda Mohammadian","doi":"10.1109/ICWR51868.2021.9443142","DOIUrl":"https://doi.org/10.1109/ICWR51868.2021.9443142","url":null,"abstract":"E-commerce, one of the new achievements of the information age, has greatly altered global commerce, transformed the rules of the game, and created amazing advantages in business practices. While an understanding of strategies that attract users to websites is beginning to emerge, how to convert web surfers to repeat users is a less well-understood phenomenon. This study has been done to assess some effective factors about website design.In this paper, cultural data was collected through a questionnaire using Hofstede’s dimensions of culture. A sample website was also designed with different colors and color combinations to find out the user’s color preferences on the websites. Then, these data were analyzed by T-Test, ANOVA-Test, and Duncan-Test. These tests are employed to examine the relationship between the online user’s cultural dimensions and his/her preferred color on websites. The paper presents the result of the pilot study on website design color preferences and cultural features. It can establish how culture can be utilized to develop more usable websites.","PeriodicalId":377597,"journal":{"name":"2021 7th International Conference on Web Research (ICWR)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127602696","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}