International Journal of Innovative Technology and Interdisciplinary Sciences <p><em>International Journal of Innovative Technology and Interdisciplinary Sciences (IJITIS)<strong>&nbsp;</strong>is aimed to disseminate original research in all fields of Technology and&nbsp;Engineering and presents the latest development and achievements in scientific research in Estonia and overseas to the world’s community to stimulate and promote academic exchange between Estonia and foreign scientists, engineers, and researchers. Original, innovative and novel&nbsp;contributions providing insight into the use of analytical, computational modeling as well as experimental research results are encouraged.&nbsp;<strong>IJITIS&nbsp;</strong>are edited by an international board of distinguished local and foreign scientists, researchers. The objective of publishing this journal in English is to strengthen international exchange in academic research.</em></p> en-US (Trieu Minh Vu) (Editor Assistant) Mon, 06 Jan 2020 00:00:00 +0000 OJS 60 Automated Traffic Law Enforcement System: A Feasibility Study for the Congested Cities of Developing Countries <p>The population of the cities in developing countries are growing at a whirlwind speed. Industrialization and urbanization are making the crowd of these countries more city-oriented gradually. Most of these cities were not planned to cope up with a high growth rate of the population. Therefore, congestion occurs with a negative impact on every sector of the lifestyle. Regular traffic congestion in these cities is a remarkable problem which stabilizes the productivity and the national economy as well. An automated traffic enforcement system is not a new concept for any developed territory. But the implementation of such a system in any third world country is the real challenge. Cities like Kabul, Dhaka, Kathmandu, Lusaka, Cairo, Hanoi, Manila etc. are having a huge crowd but very narrow roads and poor traffic maintenance system to regulate those crowds. The transport infrastructure is struggling to keep pace with demand. But before we design any advanced traffic management system, we should look into what are the factors that are causing congestion and how costly are the respective measurements against them. This paper is intended to present a feasibility study on the implementation of the advanced artificial intelligence techniques in the traffic management sectors of the developing countries. It reviews theoretical and empirical work on the determinants on the implementation of automated traffic law enforcement system particularly in the cities of the developing countries.</p> Shormee Saha Copyright (c) 2020 International Journal of Innovative Technology and Interdisciplinary Sciences Tue, 07 Jan 2020 08:39:19 +0000 Coseismic ground deformation of the November 26, 2019 M6.4 earthquake of Durrës, Albania estimated by DInSAR <p>An earthquake of magnitude 6.4 occurred in Albania on November 26, 2019 at 03:54:12 (local time). The epicenterof the earthquake was about20 km from the coastal city of Durrës. The purpose of this study is toestimate the ground deformation associated with thisearthquakeby Differential Interferometric Synthetic Aperture Radar (DInSAR) technique. A differential interferogram was formed using the two Sentinel-1 Single Look Complex (SLC) images. The flattened and filtered differential interferogram was unwrapped and converted to ground displacement. The results indicatethat in the area close tothe epicentrethe ground is uplifted at a maximum of 8 cm along the radar line-of-sight (LOS). Progressively smaller ground uplift isdetected in an area of about 10-15 km around the major uplift zone. The earthquake could be related with under thrustingof Adria microplate or fault processes within the under thrustedAdria microplate itself. Further monitoring by satellite imagery is needed to investigate the post-seismic ground deformation in the area.</p> Enton Bedini Copyright (c) 2020 International Journal of Innovative Technology and Interdisciplinary Sciences Thu, 06 Feb 2020 11:19:57 +0000 Fast and Reliable System for Managing Customer Information of a Local Electric Power Generator <p>Web applications have become a vital requirement for organizations in managing information, because running any organization through the classic way makes the management process tough. The purpose of this paper is to propose a fast and reliable way to solve the problems that supervisors of an electric power generator face in managing customer information. This will be done through a web-based system. The system will be developed with ASP.NET web framework and MySQL database management system. Ajax and jQuery library will be utilised for smart searching facility and printing dynamic receipts.&nbsp; It will be easy to use and supports all smart devices because of the help of bootstrap framework. IIS web server and Microsoft Azure cloud virtual machine are used for hosting and running the system. To investigate the workability and efficiency of the system a questionnaire and an interview have been conducted and analysed. The results confirmed that, by using the system, the supervisors can manage customers’ information in an efficient way and it will save a lot of time and money and they will be able to back-up data easily. The findings of the paper can be applied for managing big-data by public or private sectors in Kurdistan.</p> Mariwan Hama Saeed Copyright (c) 2020 International Journal of Innovative Technology and Interdisciplinary Sciences Fri, 07 Feb 2020 16:16:24 +0000 Window Selection Impact in Human Activity Recognition <div>Signal segmentation is usually applied in the pre-processing step to make the data analysis easier. Windowing approach is commonly used for signal segmentation. However, it is unclear which type of window should be used to get optimum accuracy in human activity recognition. This study aimed to evaluat e which window type yields the optimum accuracy in human activity recognition. The acceleration data of walking, jogging, and running were collected from 20 young adults. Then, the recognition accuracy of each window types is evaluated and compared to determine the impact of window selection in human movement data. From the evaluation, the overlapping 75% window with 0.1 s length provides the highest accuracy with mean, standard deviation, maximum, minimum, and energy as the features. The result of this study could be used for future researches in relation to human activity recognition.&nbsp;</div> Nurul Nurwulan, Bernard C. Jiang Copyright (c) 2020 International Journal of Innovative Technology and Interdisciplinary Sciences Fri, 28 Feb 2020 07:35:42 +0000 A Comparative Study of Machine Learning Classifiers for Credit Card Fraud Detection <div>Now a day’s credit card transactions have been gaining popularity with the growth of e-commerce and shows tremendous opportunity for the future. Therefore, due to surge of credit card transaction, it is a crying need to secure it . Though the vendors and credit card providing authorities are showing dedication to secure the details of these transactions, researchers are searching new scopes or techniques to ensure absolute security which is the demand of time. To detect credit card fraud, along with other technologies,</div> <div>applications of machine learning and computational intelligence can be used and plays a vital role. For detecting credit card anomaly, this paper analyzes and compares some popular classifier algorithms. Moreover, this paper focuses on the performance of the classifiers. UCSD -FICO Data Mining Contest 2009 dataset were used to measure the performance of the classifiers. The final results of the experiment suggest that (1) meta and tree classifiers perform better than other types of classifiers, (2) though classification accuracy rate is high but fraud detection success rate is low. Finally, fraud detection rate&nbsp; should be taken into consideration to assess the performance of the classifiers in a credit card fraud detection system.</div> Md. Nur-E-Arefin Copyright (c) 2020 International Journal of Innovative Technology and Interdisciplinary Sciences Fri, 28 Feb 2020 07:46:28 +0000