1 10 5 https://repository.horizon.ac.id/files/original/78502d22e00f16f14ab82d1e5d03e058.pdf a6927ed71cbd280b60072c20b1872650 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource VOL. 12 NO 2 ( 2023 ) JUNE 2023 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Benchmarking Performances of Raspberry pi Microcomputer as Video Wall Devices Subject The topic of the resource Video wall, Raspberry pi, Microcomputer, Broadcast, Benchmark, Server. Description An account of the resource Video wall development is affected by cost, power consumption, processing capabilities, algorithm, and video used. Literature has shown that using microcomputers reduces power consumption and costs, but performance remains a bottleneck. Benchmarking the performances of Raspberry pi (R-pi) devices with real-world loads will help understand R-pi video wall development, suitability, and utilization. The approach used is based on parallel video streaming using user datagram protocols (UDP) and broadcast addressing, while image splitting is done on clients. Nigel's performance monitoring (NMON) tool was used with videos of varying frames (15fps, 20fps, 24fps, 25fps, 30fps, 50fps, and 60fps) and resolutions of 144p, 240p, 360p, 480p, 720p, and 1080p to benchmark performances. Results revealed a maximum of 9.78%, 17.16%, 58.45 kB/s, and 1.13 kB/s for central processing unit (CPU), memory, network, and disk usage, respectively. Results also reveal that the R-pi as a video wall device, with the proposed approach, has the processing capability to enhance video wall development. These results reveal that for best performances, R-pi video walls are more suitable with videos of higher resolutions, such as 480p, 720p, and 1080p, and at lower frame rates, such as 24fps, 25fps, and 30fps. Creator An entity primarily responsible for making the resource N. B. Paul, O. U. Okereke, E. E. Omizegba, E. C. Anene Source A related resource from which the described resource is derived www.ijcit.com Date A point or period of time associated with an event in the lifecycle of the resource June 2023 Contributor An entity responsible for making contributions to the resource peri irawan Format The file format, physical medium, or dimensions of the resource pdf Language A language of the resource english Type The nature or genre of the resource text https://repository.horizon.ac.id/files/original/7e97b8fee146f314dd09d5825d164693.pdf 51c8eefc4321270e55d227b862ebecfe Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource VOL. 12 NO 2 ( 2023 ) JUNE 2023 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Experimental Study on the Effect of Pattern Variationand Feature Points on Fingerprint Matching Subject The topic of the resource fingerprint, pattern variation, singular point, features, matching. Description An account of the resource Fingerprint has been adjudged as the most reliable means of identification and authentication of an individual because of its uniqueness, high immutability and unchanging patterns. Typically, the ridges of fingers consist of different pattern types whose attributes are often extracted for matching during fingerprint classification. The occurrence of these patterns vary among fingerprint, which has significantly affected the accuracy of fingerprint recognition and classification processes. This paper therefore focuses on the investigation of the impact of pattern variation, singular points and feature points on fingerprint matching. The investigation was based on benchmarked FVC2000, FVC2002, FVC2004 and FVC2006 fingerprint databases which comprise four datasets each from different sources and of varied types. The obtained false non match rate (FNMR), false match rate (FMR), total matching time (TMT) and average matching time (AMT) values revealed that use of multiple matching criteria will lead to extension in the fingerprint matching time. Creator An entity primarily responsible for making the resource Oluwatayo Samuel Ogunlana, Gabriel Babatunde Iwasokun Source A related resource from which the described resource is derived www.ijcit.com Date A point or period of time associated with an event in the lifecycle of the resource June 2023 Contributor An entity responsible for making contributions to the resource peri irawan Format The file format, physical medium, or dimensions of the resource pdf Language A language of the resource english Type The nature or genre of the resource text https://repository.horizon.ac.id/files/original/15e6a8d703a6a0841c4400a4e0081bcd.pdf 993a2292f81b18dddc431b3744bfd612 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource VOL. 12 NO 2 ( 2023 ) JUNE 2023 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource A New Computer Vision Based Rail Detection Method Using Entropy and Support Vector Machines Subject The topic of the resource Keywords-classification; entropy; support vector machine; image processing; railways Description An account of the resource Abstract—Condition monitoring in railways is an important and critical process in terms of travel safety. However, this process is generally done based on observation or with various equipment. Therefore, it is costly and has a high probability of error. In this study, a computer vision-based method for rail detection for condition monitoring in railways is proposed. In addition to the features obtained from the images, a new feature is calculated using entropy. Rail detection is provided by classifying these features with Support Vector Machine (SVM). It has been seen that the proposed method works successfully and provides improvement in the monitoring process. Creator An entity primarily responsible for making the resource Kağan Murat, Mehmet Karaköse, Erhan Akın Source A related resource from which the described resource is derived www.ijcit.com Date A point or period of time associated with an event in the lifecycle of the resource June 2023 Contributor An entity responsible for making contributions to the resource peri irawan Format The file format, physical medium, or dimensions of the resource pdf Language A language of the resource english Type The nature or genre of the resource text https://repository.horizon.ac.id/files/original/7977a2d0f17cf37295c15f198d4a5cf1.pdf 76076a14b2bfe1d4fcd786341a555f13 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource VOL. 12 NO 2 ( 2023 ) JUNE 2023 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Comprehensive Design Flow for Effective Data Processing and Visualization Subject The topic of the resource Talend, Power BI, Data Analytics, Exploration Description An account of the resource Data is pervasive in the modern digital world. Data is continually being created, gathered, and analysed, from social media interactions to financial transactions. Businesses face both opportunities and challenges due to the data boom. On one hand, data may be a useful resource for companies looking to differentiate themselves from the competition, spur innovation, and enhance decision-making. However, the sheer amount and complexity of data can be daunting, making it challenging to glean insightful information and take timely action on it. Organisations need a strong and well-designed data processing design flow that can allow effective data exploration and creative visualization in order to meet this challenge. This work focuses on the complete data processing lineage and integrating that with various tools such as Talend and Power BI for data analytics to deliver diverse visualizations and insights which can cater businesses to stay ahead of the curve, providing a foundation for success in the ever-evolving digital landscape. Creator An entity primarily responsible for making the resource Samudyata A,P Nagaraju Source A related resource from which the described resource is derived www.ijcit.com Date A point or period of time associated with an event in the lifecycle of the resource June 2023 Contributor An entity responsible for making contributions to the resource peri irawan Format The file format, physical medium, or dimensions of the resource pdf Language A language of the resource english Type The nature or genre of the resource text https://repository.horizon.ac.id/files/original/739ad40b86ac653eadf72c9654b1d163.pdf a34f39f191fcbe2730b944e6a069eb21 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource VOL. 12 NO 2 ( 2023 ) JUNE 2023 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Effect of Cybersecurity Awareness among Students in the Education Framework Using the Internet, E-Learning Platforms and Social Networks Subject The topic of the resource security, criminal's, social media, awareness, questionnaire. ' Description An account of the resource Some groups of students, both male and female, are ignoring their duty to keep the security of their data. The goal of this research is to comprehend the administration. Students at Zarqa University have reported additional criminal incidents. For urged to take an active role in preventing security incidents. This paper's introduction looks at security issues linked to level of safety as well as raising student security awareness. The students at Zarqa University should be more mindful of security issues. This research covered a lot of topics that mirror how students use the internet and behave when doing things related to security, like creating and managing passwords and interacting with social networking sites. After researching pupil security awareness, it was discovered that they lacked the most basic security measure, such as a strong password. In order to solve the issue of shortage, we must address the dearth of training programs for students in security awareness. Creator An entity primarily responsible for making the resource Abdallah Alia Source A related resource from which the described resource is derived www.ijcit.com Date A point or period of time associated with an event in the lifecycle of the resource June 2023 Contributor An entity responsible for making contributions to the resource peri irawan Format The file format, physical medium, or dimensions of the resource pdf Language A language of the resource english Type The nature or genre of the resource text