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    9805 research outputs found

    PhotoStory: Mobile Application for Preserving Historical Heritage Using Timeline View

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    This paper proposes a PhotoStory: mobile-based application to record the transformation of buildings, including the condition of the buildings and the surrounding environment, whether caused by natural disasters or other factors. There are still limited systems available for people to see the changes in historical buildings. Some existing applications only focus on collecting photos, but the photos are not timeline-organized. This research aims to design a mobile application system that can separately group the building photos sent by users through a geotagging-based mobile application and then visualize it on a timeline-view layout. Grouped photos will make it easier for users to see and trace the context of the building. Based on the usability tests that have been done, the system obtained a value of 87,27%, with the Efficiency parameter getting the highest value among other usability parameters, which was 94%. The obtain shows that the system has been designed successfully. As a result, users feel satisfied and become more familiar with historical buildings. Furthermore, using a timeline-view layout proves that it can provide good effectiveness to users in understanding the transformation of buildings

    Improving Mathematics Critical Thinking Skills of Junior High School Students Using Blended Learning Model (BLM) in GeoGebra Assisted Mathematics Learning

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    Penelitian ini mengkaji peningkatan kemampuan berpikir kritis matematis siswa yang belajar menggunakan model blended learning berbantuan GeoGebra dan siswa yang belajar menggunakan model blended learning tanpa bantuan GeoGebra, berdasarkan pembelajaran dan jenjang sekolah. Jenis penelitian ini adalah quasi-experimental, menggunakan nonequivalent control-group design. Ada 125 peserta dari dua Sekolah Menengah Pertama (SMP) kelas VIII di Kota Ternate, Indonesia. Instrumen yang digunakan berupa soal tes kemampuan berpikir kritis. Hasil penelitian adalah: (1) Model blended learning berbantuan GeoGebra dapat mempengaruhi kemampuan berpikir kritis matematis dengan kategori besar, dilihat dari keseluruhan dan tingkat sekolah. (2) Terdapat perbedaan peningkatan kemampuan berpikir kritis matematis antara siswa yang belajar menggunakan model blended learning berbantuan GeoGebra dan siswa yang belajar menggunakan model blended learning tanpa bantuan GeoGebra secara keseluruhan. (3) Peningkatan kemampuan berpikir kritis matematis siswa yang belajar menggunakan model blended learning berbantuan GeoGebra lebih baik daripada siswa yang belajar menggunakan model blended learning berbantuan GeoGebra. Namun peningkatan tersebut termasuk dalam kategori rendah dilihat dari tingkat SMA. (4) Tidak terdapat perbedaan peningkatan kemampuan berpikir kritis matematis antara siswa yang belajar menggunakan model blended learning berbantuan GeoGebra dan siswa yang belajar menggunakan model blended learning berbantuan GeoGebra tanpa dilihat dari tingkat SMP

    An Image Feature Extraction to Generate a Key for Encryption in Cyber Security Medical Environments

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    Cyber security is a term utilized for describing a collection of technologies, procedures, and practices that try protecting an online environment of a user or an organization. For medical images among most important and delicate data kinds in computer systems, the medical reasons require that all patient data, including images, be encrypted before being transferred over computer networks by healthcare companies. This paper presents a new direction of the encryption method research by encrypting the image based on the domain of the feature extracted to generate a key for the encryption process. The encryption process is started by applying edges detection. After dividing the bits of the edge image into (3×3) windows, the diffusions on bits are applied to create a key used for encrypting the edge image. Four randomness tests are passed through NIST randomness tests to ensure whether the generated key is accepted as true. This process is reversible in the state of decryption to retrieve the original image. The encryption image that will be gained can be used in any cyber security field such as healthcare organization. The comparative experiments prove that the proposed algorithm improves the encryption efficiency has a good security performance, and the encryption algorithm has a higher information entropy 7.42 as well as a lower correlation coefficient 0.653

    Learning in Online Environment: Let’s Focus on Emotional Awareness

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    The study emphasizes personality development, the development of students' emotional intelligence, the facilitation of learning (the creation of an atmosphere that stimulates learning), when it seeks the answer to "how, when why a student learns and how learning looks and feels from the inside". Research conducted among the students at the Milton Friedman University will be presented, regarding how they think about motivation, how their personality traits influence their learning activities, what their learning strategy is and based on all this, how they evaluate the methodological base of teaching tools that support their learnin

    Teaching Effect Analysis of the ‘Prefabricated Concrete Structure’ Course Based on Building Information Modeling

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    The prefabricated building course is a highly theoretical and practical specialized course with strong professionalism and extensive teaching contents. The teaching of prefabricated concrete structures is a significant link in prefabricated building construction and an important direction of cultivating talents applied to prefabricated building construction. Previous teaching features single teaching models, focuses on teaching materials, and highlights theoretical teaching, resulting in students’ low learning initiatives and poor practical ability. In order to improve the teaching effect and students' practical ability, Building Information Modeling (BIM) simulation technology was integrated into the teaching and practice of the prefabricated building courses. Then, the three-stage (guidance of real-scene cases, practical operation based on division of project work, and drawing cross-review) course teaching approach was proposed. With the construction of a prefabricated concrete structure in Hefei Metro of China as an example, students were asked to perform component modeling, assembly, and construction simulation via BIM. Results show that the teaching contents are completed, and the teaching effect is evidently strengthened. Students’ abilities to understand, analyze and practice actual engineering problems are evidently improved, and their problem-solving and practical ability in the aspect of prefabricated buildings is cultivated

    Fake Accounts Identification in Mobile Communication Networks Based on Machine Learning

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    Fake accounts on online social networks are increasing today with an increase in the number of active social network users. Social media websites allow users to share thoughts, facts, views and re-sharing these into various networks. Social media platforms provide users with enormous valuable information but with this great amount of information in social media, many issues like fake profile, online hacking have also grown. The fake profiles in online social sites create fake news and share unwanted material which contains spam links that affect natural users. The massive issue in social media communication networks is spam and it is necessary to identify fake profiles to stop spam. In this paper, a supervised machine learning algorithm called support vector machine (SVM) is used to identify fake accounts on social media effectively. In order to automatically identify fake online profiles, Random Forest classifier is used with SVM. With this concept, it can be applied online easily to identify millions of accounts that cannot be examined manually. The result of this model is compared with other identification techniques and the results show that the proposed algorithm performs better with high precision and recall. This method efficiently safeguards social media networks from online threats and attacks

    An Interactive Application for Learning and Analyzing Different Graph Vertex Cover Algorithms

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    This paper deals with an analysis of three algorithms for the graph vertex cover problem. Certain methods for solving this problem are analyzed. In addition, different studies on the problem and some approaches to its solution are discussed as well. An exact algorithm (based on the backtracking approach) is presented. Calculating the average time for execution of this algorithm is consistent with the multitasking way of work of the operating system. For this purpose, four different starts of the algorithm are made and then the average time of all of them is calculated. The exact algorithm found the optimal solutions for all analyzed graphs. Besides this algorithm, two other heuristic algorithms for solving the problem are discussed. For this study, an interactive application is developed to visualize the performance of the three algorithms and display the obtained results. The results show that for small graphs with no more than 25 vertices the exact algorithm can be used to solve optimally the graph vertex cover problem. For the largest graphs, none of the two heuristic algorithms found the optimal solutions, but these algorithms generated solutions that are very close to the optimal ones. In summary, when the size of the graph increases linearly, the execution time of the heuristic algorithms increases linearly, while the execution time of the exact algorithm increases exponentially

    EСO-Environment of the Information—Analytical System of Scientific Personnel Training as a Means of Open Science

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    The changes in the system of higher engineering education (HEE), the development of the scientific vector of STEM and the demands of Industrial Revolution 4.0 determines the revision of the concept of Scientific Personnel Training (SPT) of engineering direction. It is important to modernize the content of such education and of focus on meeting stakeholders in the context of open science. Methodologically substantiated principles of the construction information-analytical system (IAS) in integration software engineering with scientific approaches to teaching in physics, will adequately affect the level of quality organization of the research in open science using the proposed ECO‑environment of IAS for SPT. The purpose of SPT, based on the fundamentalization of the practical logic and of the provisions of transdisciplinary, systematic, competency and synergetic approaches is to provide subjects of scientific education with methodological tools for solving research problems in specific knowledge areas. At the transdisciplinary level, taking into account the concepts of STEM and open science justified adaptive of the methodology of constructing the transdisciplinary IAS; the terminological is systematized; the adaptive processes of in ECO environment are revealed; the trajectory of development of transdisciplinary competence of applicants of scientific education is substantiated

    Pedagogical Aspects of the Formation of Ecological Competence of Specialists of the Maritime Branch

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    The negative anthropogenic impact on the biosphere has caused the deterioration of the ecological situation throughout the world. In Ukraine, this process was aggravated by the consequences of Russian aggression. The modern post-industrial society needs highly qualified specialists who are able to think critically, act quickly and decisively in non-standard situations associated with damage to the natural environment. Our study is devoted to various aspects of improving the methods of using modern pedagogical technologies aimed at developing environmental competence among future specialists in navigation and management of marine vessels. Based on the results of our study, the pedagogical conditions that have the greatest impact on the formation of environmental competence of future specialists of the maritime branch were identified and characterized. To such conditions, we attributed the increase in the motivation of applicants for environmental protection and careful use of the environment in the process of carrying out future professional activities; introduction of modern forms of education (environmental trainings, project method) to enhance the educational process; increased attention to problem solving and decision-making in stressful situations, taking timing into account. It should be noted that future specialists have significantly increased level of environmental competence, which primarily affected the quality of solving practical problems of an environmental nature and the speed of decision-making. The results obtained in our study were used in the development of curricula and educational and methodological support in order to improve the environmental preparation of applicants for education for their practical professional activities in matters related to ensuring environmental safety, environmental conservation, etc. Our practical research has had a positive impact on the formation of environmental competence of applicants for education of ships in the process of professional training through the introduction of modern forms of education and the implementation of the pedagogical conditions we have defined

    Hybrid Learning in Times of Pandemic Covid-19: An Experience in a Lima University

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    Hybrid learning became more important in the context of the Covid-19 pandemic. In this sense, the University of Sciences and Humanities implemented adequate strategies to guarantee the continuity of the teaching and learning process. At the beginning, the virtual modality was chosen in its entirety and then moved to a hybrid modality; however, teachers were not trained; students had problems of connectivity and access to technological resources, which led more than 35% of them to abandon their studies. Therefore, the purpose of the study is to know the students' perception of the hybrid modality, through a questionnaire applied to 142 students of the 2021-1 cycle of the Faculty of Accounting, Economic and Financial Sciences, Faculty of Health Sciences, Faculty of Humanities and Social Sciences, Faculty of Engineering Sciences, considering 19 questions integrated in 4 dimensions: teaching strategy, didactic resources, evaluation system and tutoring; all this in order to evaluate the strategies of the hybrid model proposed by the university. The results obtained in the dimensions show the highest score in the evaluation dimension with an average of 4.51, specifically in the planning of the syllabus; however, the lowest average is found in the tutoring dimension with an average of 3.22, which corresponds to the participation in psycho-pedagogical workshops to improve academic performance. It is concluded that the teaching strategy in the hybrid modality has been satisfactorily approved by the students, thanks to the periodic training of teachers. However, tutoring should be strengthened through academic counseling, so that the beneficiaries of this research are the students, teachers and parents; and, therefore, the Peruvian educational system

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