1 10 5 https://repository.horizon.ac.id/files/original/39c6c1de6b1370d2fc30b55cf55a4ce5.pdf 23c6af6282a4b411d4a8d0ee44e92106 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. 11 NO. 3 (2022) JUNE 2022 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 An Intelligent Approach to Automatic Query Formation from Plain Text using Artificial Intelligence Subject The topic of the resource Automatic Question Generation, NLP, Intelligent Tutoring System (ITS), IR, Query Processing Description An account of the resource Man have always been, inherently, curious creatures. They ask questions in order to satiate their insatiable curiosity. For example, kids ask questions to learn more from their teachers, teachers ask questions to assist themselves to evaluate student performance, and we all ask questions in our daily lives. Numerous learning exchanges, ranging from one-on-one tutoring sessions to thorough exams, as well as real-life debates, rely heavily on questions. One notable fact is that, due to their inconsistency in particular contexts, humans are often inept at asking appropriate questions. It has been discovered that most people have difficulty identifying their own knowledge gaps. This becomes our primary motivator for automating question generation in the hopes that the benefits of an automated Question Generation (QG) system will help humans achieve their useful inquiry needs. QG and Information Extraction (IE) have become two major issues for language processing communities, and QG has recently become an important component of learning environments, systems, and information seeking systems, among other applications. The Text-to-Question generation job has piqued the interest of the Natural Language Processing (NLP), Natural Language Generation (NLG), Intelligent Tutoring System (ITS), and Information Retrieval (IR) groups as a possible option for the shared task. A text is submitted to a QG system in the Text-to-Question generation task. Its purpose would be to create a series of questions for which the text has answers (such as a word, a set of words, a single sentence, a text, a set of texts, a stretch of conversational dialogue, an inadequate query, and so on).. (Abstract) Creator An entity primarily responsible for making the resource Mohd Akbar, Mohd Shahid Hussain, Mohd Suaib 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 2022 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/67341c09949f9290ee5e08a137dc3b33.pdf 9e2dc15b9ddffe2436ee098155f7d8b8 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. 11 NO. 3 (2022) JUNE 2022 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 Comparative Analysis of the Performance of Single Sign-On Authentication Systems with OpenID and OAuth Protocols Subject The topic of the resource Single Sign On; OpenID; OAuth; Academic Information System I. Description An account of the resource a vast number of people use the internet on a regular basis. The growing number of users will inadvertently bring new issues for both users and administrators as user managers. Users forget their user accounts and passwords when they have too many accounts to surf the internet. Web-based application services at University of Technology Yogyakarta include the Academic Information System (SIA) and E-Learning without exception. Both have the same issue: figuring out how to establish an authentication mechanism that will prevent users from forgetting their accounts on the system. The goal of this research is to create a prototype using Single Sign On (SSO) and compare the performance of the two SSO protocols utilized, OpenID and OAuth. The Explicate Problem, Define Requirements, Design and Develop Artifact, Demonstrate Artifact, Evaluate Artifact, and Communication processes are all part of this study. The results of prototype testing are obtained by attempting to log in using an academic service system account, and users are not required to login/authenticate again while accessing the e-learning page. Performance studies on both protocols revealed that the highest number of users who could login to the system at the same time was 1230 (OpenID) and 1219 (OAuth). In comparison to the OpenID protocol, the OAuth protocol is more consistent in terms of average response time for handling user requests. A greater specification is also required to suit the demands of additional users. Creator An entity primarily responsible for making the resource Tri Waluyo, Sutarman 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 2022 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/29f9ca51d1af2731e8cd075e1dfbb78b.pdf 8defeca03d52a0271e78a38f9c71d2a6 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. 11 NO. 3 (2022) JUNE 2022 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 Cloud-based Framework for Quality Assurance and Enhancement as a Service (QAEaaS) for Universities with Blended Learning Approach Subject The topic of the resource blended learning; cloud computing; higher education; quality assurance and enhancement Description An account of the resource The dynamic and multi-dimensional quality assurance process for Saudi higher education institutes under the National Commission for Academic Accreditation and Assessment (NCAAA) demands an integrated framework for management and support of internal quality reviews and evidence-based self -studies in a cost-effective way. Due to cross-institutional involvement, quality assurance compliance with NCAAA standards is even more challenging for institutes offering courses with blended learning paradigm in multiple campuses. This papers proposes a Cloud-based framework to realize Quality Assurance and Enhancement as a Service (QAEaaS) to facilitate the internal quality reviews by providing efficient data management and effective communication for different stakeholders. Architecture of the proposed framework is described with respective features to cope with the identified quality assurance challenges and issues faced by the Saudi higher education institutes. Creator An entity primarily responsible for making the resource Ehsan Ahmad, Ali Alammary 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 2022 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/65ee472c296d710a8d904edb254cb985.pdf 093a6bc2db4a38bf0fa40f684541eb0d 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. 11 NO. 3 (2022) JUNE 2022 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 Drone Tracking with Drone using Deep Learning Subject The topic of the resource Unmanned Aerial Vehicle, drone tracking, deep learning, yolov5, object detection Description An account of the resource With the development of technology, studies in fields such as artificial intelligence, computer vision and deep learning are increasing day by day. In line with these developments, object tracking and object detection studies have spread over wide areas. In this article, a study is presented by simulating two different drones, a leader and a follower drone, accompanied by deep learning algorithms. Within the scope of this study, it is aimed to perform a drone tracking with drone in an autonomous way. Two different approaches are developed and tested in the simulator environment within the scope of drone tracking. The first of these approaches is to enable the leader drone to detect the target drone by using object-tracking algorithms. YOLOv5 deep learning algorithm is preferred for object detection. A data set of approximately 2500 images was created for training the YOLOv5 algorithm. The Yolov5 object detection algorithm, which was trained with the created data set, reached a success rate of approximately 93% as a result of the training. As the second approach, the object-tracking algorithm we developed is used. Trainings were carried out in the simulator created in the Matlab environment. The results are presented in detail in the following sections. In this article, some artificial neural networks and some object tracking methods used in the literature are explained. Creator An entity primarily responsible for making the resource Mehmet KARAKÖSE, Ziya TAN, Elif ÖZET 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 2022 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/85d955960d539495027e600f34ccaa18.pdf d15982174f9a805d8c5bf87dc2ee1a6e 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. 11 NO. 3 (2022) JUNE 2022 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 Comparison of A* Algorithm and Greedy Best Search in Searching Fifteen Puzzle Solution Subject The topic of the resource Artificial Intelligence, Fifteen Puzzle, Greedy Best First Search Description An account of the resource Artificial Intelligence is an exciting field to research. Artificial Intelligence itself is a broad subject. The application of artificial intelligence in daily routine is various. One of the usages of artificial intelligence is finding the shortest route on a map. In general, the algorithm which can be used for finding the shortest route is A*. A* is often used in finding the shortest route in a graph or map. Generally speaking, A* is used to make a game, especially for finding the shortest route of an intelligent agent inside it. In this paper, the finding solution of puzzle game using A* and Greedy Best First Search is to be discussed. The puzzle game which is discussed is the Fifteen Puzzle. This research compares the two algorithms used, A* and Greedy Best First Search. This research shows that Greedy Best First Search gives a slightly faster solution than A*. Creator An entity primarily responsible for making the resource Charisma Tubagus Setyobudhi 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 2022 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