{"title":"Designing Smart Parking System through the Use of IoT and Big Data","authors":"","doi":"10.30534/ijatcse/2021/141052021","DOIUrl":"https://doi.org/10.30534/ijatcse/2021/141052021","url":null,"abstract":"One of the endless problem in Jakarta is the potential loss of DKI Jakarta regional government revenue related to parking fees. This study was made to overcome this problem by proposing the utilization of IoT and Big Data technology for smart parking system as a contribution to the Jakarta Smart City plan. Actual real time data of parking management by utilizing IoT brings out the collaboration of tools and technologies which may provide controlling and monitoring features to smart parking system. Furthermore, big data technology allows DKI Jakarta government easily predicts the potential revenue from each parking location spread throughout the city. This paper will discuss about the requirements, system architecture, detection methods and technologies based on commodity hardware and a group of Hadoop MR Platforms to investigate the ability of intelligent parking platforms to process and analyze large data in Jakarta","PeriodicalId":129636,"journal":{"name":"International Journal of Advanced Trends in Computer Science and Engineering","volume":"113 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129776992","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}
M. Elbialy, Dr. Mohamed Abd Elsalam, Samir Abo El-Fotouh
{"title":"A Logical Framework for Scientific Research Projects based on Blockchain Technology","authors":"M. Elbialy, Dr. Mohamed Abd Elsalam, Samir Abo El-Fotouh","doi":"10.30534/ijatcse/2021/151052021","DOIUrl":"https://doi.org/10.30534/ijatcse/2021/151052021","url":null,"abstract":"The Scientific research projects has encountered severe problems in procurements of supply for research projects in Egypt. Despite the huge number of scientific researches projects annually. The cost of scientific research projects is so high and it has a lot of elements in their supply chains. Due to this, it becomes almost impossible to keep track of each and every record in traditional ways. The lack of transparency and increased cost of projects lead to some of scientific researches not turn into a final product and facing many problems. This paper proposed a logical framework for enhancing the supply of scientific research projects using Blockchain. by analyzing the previous works in Blockchain & Smart Contract, Blockchain & e-commerce, Blockchain & Procurement, and Blockchain & Tender. The researcher built the research point from this analyzing. Using Blockchain in Procurements and Blockchain in Tenders as a method for Build a Framework for effectively lead to increase security, minimize delays in paperwork and increase the transparency and quality assurance.","PeriodicalId":129636,"journal":{"name":"International Journal of Advanced Trends in Computer Science and Engineering","volume":"1155 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129953219","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":"Applying Smart Contract in Indonesian E-Commerce","authors":"","doi":"10.30534/ijatcse/2021/131052021","DOIUrl":"https://doi.org/10.30534/ijatcse/2021/131052021","url":null,"abstract":"One of the potentials that can be done by smart contracts is the application of buying and selling business in e- commerce. In a study conducted by the British research institute Merchant Machine as reported in databoks.katadata.co.id states that, out of the 10 list of countries that have the fastest e-commerce growth, Indonesia leads the ranks of these countries with growth reaching 78% in the year 2018. As you know, blockchain not only develops cryptocurrency but also in financial services and smart contract payments. Legal arrangements that apply to smart contracts governed by contract and sale and purchase laws in Indonesia have not yet been found, and need to be explored in order to provide certainty regarding legal protection that can guarantee parties who use smart contracts to guarantee legal certainty and fairness in their application. The research that will be conducted in answering these questions uses a systematic review method, the researcher traces the legislation regarding consumer protection, as well as the principles of electronic contract law that can be applied. The results of the study concluded that with the regulations regarding electronic contracts, smart contracts are legal contracts that can be applied in Indonesia.","PeriodicalId":129636,"journal":{"name":"International Journal of Advanced Trends in Computer Science and Engineering","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121432431","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}
Ujang Subagja, Arnold Saputra, Yanditya Ekaputra Dwipada, Y. Maulana, Gunawan Wang, E. Kaburuan
{"title":"Gamification as an Effective Learning Tool to Increase Learner Motivation and Engagement","authors":"Ujang Subagja, Arnold Saputra, Yanditya Ekaputra Dwipada, Y. Maulana, Gunawan Wang, E. Kaburuan","doi":"10.30534/ijatcse/2021/111052021","DOIUrl":"https://doi.org/10.30534/ijatcse/2021/111052021","url":null,"abstract":"In this paper, we reflect on the implementation of a gamified application for helping employee learn important facts about their training program for level up capability. Gamification of education is a developing approach for increasing learners’ motivation and engagement by incorporating game design elements in educational environments. With the growing popularity of gamification and yet mixed success of its application in educational contexts, the current review is aiming to shed a more realistic light on the research in this field by focusing on empirical evidence rather than on potentialities, beliefs or preferences. Gamification can be used on all the types of education. Be it student or to the employee training. There are no boundaries how the gamification in education can be made. Gamification the educational process can be a real challenge because in the making of the process one must have a balance between the fun in the game session but also got the knowledge from the study that is intended. The game cannot be more addicted than educating the student that use the feature. But the game cannot to be boring either and make the student and employee more reluctant to study.There is a direct link between increased motivation and higher levels of engagement when the gamification intervention is introduced. This is a application review on gamification motivation and engagement learner.","PeriodicalId":129636,"journal":{"name":"International Journal of Advanced Trends in Computer Science and Engineering","volume":"602 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116344444","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":"Deep Learning Based Car Damage Detection, Classification and Severity","authors":"","doi":"10.30534/ijatcse/2021/031052021","DOIUrl":"https://doi.org/10.30534/ijatcse/2021/031052021","url":null,"abstract":"In the accident insurance industry, settling the claim is a time-consuming process since it is a manual process and there is a gap between the optimal and the actual settlement. Using deep learning models, we are not only trying to speed up the process but also provide better customer service and increase the profitability of insurance companies. In this paper we are using various pretrained models such as VGG 16, VGG 19, Resnet50 and Densenet and based on these models, selecting the best performing models. We initially check whether the car is damaged or not using the Resnet50 model and if it’s a damaged one we use the WPOD-net model to detect the license plate. To identify the damaged region, we use the YOLO model. At last, comes the damage severity which is implemented using the Densenet model. After implementing various models, we find out that transfer learning gives better results than fine-tuning. In addition to that we propose a framework that integrates all of this into one application and in turn helps in the automation of the insurance industry","PeriodicalId":129636,"journal":{"name":"International Journal of Advanced Trends in Computer Science and Engineering","volume":"2013 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129755094","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}
Karthik Kumar Vaigandla, SandyaRani Bolla, Radhakrishna Karne
{"title":"A Survey on Future Generation Wireless Communications-6G: Requirements, Technologies, Challenges and Applications","authors":"Karthik Kumar Vaigandla, SandyaRani Bolla, Radhakrishna Karne","doi":"10.30534/ijatcse/2021/211052021","DOIUrl":"https://doi.org/10.30534/ijatcse/2021/211052021","url":null,"abstract":"Within the last few decades, wireless connectivity has experienced an exponential growth. With far more features than 4G communications, next-generation (5G) will soon be available worldwide. In the year 2027 to 2030, the sixth- generation (6G) wireless system, fully supported by artificial intelligence, will become the dominant paradigm for wireless communication. Beyond 5G, the main factors to consider are higher system capacity, greater data rates, reduced latency, enhanced security, and improved quality of service (QoS) compared to current 5G systems. In this paper, we describe the strategy for future 6G wireless networks, emerging technologies and the architecture within which they will operate. This paper focuses on key performance indicators, applications, new services, and key technologies that could enable 6G networks. By presenting a new perspective on future research directions, this article will make a significant contribution to future research directions.","PeriodicalId":129636,"journal":{"name":"International Journal of Advanced Trends in Computer Science and Engineering","volume":"94 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127286874","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 Framework for Information Technology Auditing in Corporate Digital Operations","authors":"","doi":"10.30534/ijatcse/2021/191052021","DOIUrl":"https://doi.org/10.30534/ijatcse/2021/191052021","url":null,"abstract":"This paper provides a conceptual framework for auditing in digital operations. It aims to create and position digital auditing framework as a pragmatic lens for organisations in the embryonic, growth and established stage of digitalisation. The paper applies a conceptual approach by engaging in a brief conceptual review, thereafter, relying on extant literature and professional documents, the paper creates a maiden framework for digital auditing, which contributes to the literature on information technology auditing. Accordingly, this paper provides a digital auditing framework for professionals, academics, and researchers; in addition, it provides an agenda for further research to develop this initial framework by adding more encompassing nodes of digital auditing technological imperatives.","PeriodicalId":129636,"journal":{"name":"International Journal of Advanced Trends in Computer Science and Engineering","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127500392","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":"Multiple Lung Diseases Classification from Chest X- Ray Images using Deep Learning approach","authors":"Abel Worku Tessema","doi":"10.30534/ijatcse/2021/021052021","DOIUrl":"https://doi.org/10.30534/ijatcse/2021/021052021","url":null,"abstract":"Lung diseases are disorders in the lung that affects proper functioning of the breathing system. Chronic Obstructive Pulmonary Disease, lung Cancer, pneumonia, tuberculosis, and pneumothorax are prevalent in most developing countries. Diagnosis of lung diseases is usually performed through visual inspection of chest X- ray images, especially in low resource settings. This procedure is time consuming, tedious, and subjected to inter- and intra-observer variability leading to misdiagnosis. The purpose of this research was to develop a method for automatic classification of multiple lung disease from chest X-ray images using Xception deep learning method. The data required for training, validation and testing the system was collected from Jimma University Medical Center Radiology Department and National Institute of Health (NIH) chest X-ray dataset repository. All the images have been pre- processed prior to training. An accuracy, sensitivity, and specificity of 97.3%, 97.2%, and 99.4%, respectively have been achieved for multi-class classification. The developed system can be used as a decision support system for physicians, especially those in low resource settings where both the expertise and the means is in scarce. The system also allows capturing of images from radiographic films extending its implementation in areas where only the conventional X-ray machines are available.","PeriodicalId":129636,"journal":{"name":"International Journal of Advanced Trends in Computer Science and Engineering","volume":"150 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114648073","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 Comprehensive Analytical Study of Traditional and Recent Development in Natural Language Processing","authors":"","doi":"10.30534/ijatcse/2021/121052021","DOIUrl":"https://doi.org/10.30534/ijatcse/2021/121052021","url":null,"abstract":"This paper acts as a comprehensive analytical study of natural language processing (NLP) and provides a briefing of the most prominent astounding reforms of the field over a good chunk of time. It covers even the future research insights and most relevant features, which act as a result of the discussed concepts or research, until this paper's reading point. This paper starts with covering the most basic concepts of text cleaning, such as tokenization, the importance of stop words, etc., to concepts such as sequence modeling, speech recognition, the effect of quantum computing concepts in Natural Language Processing, and so on. The current development of deep neural networks, which is the current trend in artificial intelligence, always gives NLP a cutting-edge technology, also covered in this paper. This paper will also emphasize that it covers the broad area of explanations to the concepts to guide learners or researchers to have an excellent overall understanding of the field.","PeriodicalId":129636,"journal":{"name":"International Journal of Advanced Trends in Computer Science and Engineering","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114891620","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":"Testing Performance (Time Analysis) of Nearest Neighbour (NN) Search Algorithms on K-d Trees","authors":"","doi":"10.30534/ijatcse/2021/041052021","DOIUrl":"https://doi.org/10.30534/ijatcse/2021/041052021","url":null,"abstract":"K-d tree (k-dimensional tree) is a space partitioning data structure for organizing points in a k-dimensional space. K-d tree, or Multidimensional Binary Search Tree is a useful data structure for several applications such as searches involving a multidimensional search key (e.g., Range Search and Nearest Neighbour Search). K-d trees are a special case of binary space partitioning trees.KNN Search is a searching algorithm with complexity O(N log N) {N= no. of data points}. This search algorithm is relatively better than brute force search {Complexity= O(n*k); where k=No. of neighbours searched, N=No. of Data Points in Kd tree} for dimensions N>>2D {N=No. of Points, D=Dimensionality of Tree}.Furthermore, Parallel KNN Search is much more efficient and performs better than KNN Search, as it harnesses parallel processing capabilities of computers and thus, results in better search time.This paper tests the time performance of KNN Search and Parallel KNN Search and compares them by plotting it on a 3D graph. A more comprehensive comparison is done by use of 2D graphs for each dimension(from 2 to 20).","PeriodicalId":129636,"journal":{"name":"International Journal of Advanced Trends in Computer Science and Engineering","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130807458","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}