• Title/Summary/Keyword: Educational Network

Search Result 751, Processing Time 0.027 seconds

Design and Implementation of Low-Cost Articulate Manipulator for Academic Applications

  • Muhammad Asim Ali;Farhan Ali Shah
    • International Journal of Computer Science & Network Security
    • /
    • v.24 no.1
    • /
    • pp.17-22
    • /
    • 2024
  • The objective of this work is to design a low cost yet fully functional 4-DOF articulate manipulator for educational applications. The design is based on general purpose, programmable smart servo motors namely the Dynamixel Ax-12. The mechanism for motion was developed by formulating the equations of kinematics and subsequent solutions for joint space variables. The trajectory of end-effector in joint variable space was determined by interpolation of a 3rd order polynomial. The solutions were verified through computer simulations and ultimately implemented on the hardware. Owing to the feedback from the built-in sensors, it is possible to correct the positioning error due to loading effects. The proposed solution offers an efficient and cost-effective platform to study the trajectory planning as well as dynamics of the manipulator.

Features of Implementing Pedagogical Practices on the Example of EU Countries' Experience

  • Mykhailo Poplavskyi
    • International Journal of Computer Science & Network Security
    • /
    • v.24 no.2
    • /
    • pp.129-135
    • /
    • 2024
  • Studying at a modern university involves using modern methods and the latest advances in science and education, which applies to Ukraine and all higher education institutions in Europe, determining the relevance of the study and its international significance. The study aims to analyze and implement effective and innovative practices that can be used in integrated educational programs, which include interactive work in education at the European level. The use of general scientific approaches, such as theoretical, statistical, and empirical, allows achieving the set goals. The central hypothesis of the research is the presentation of the best pedagogical practices in the educational program, which includes interactive and universal. The results of the study prove the effectiveness of interactive training. Future research is devoted to developing new pedagogical practices and the development of algorithms for their implementation.

Development of Educational Simulator for Novel Network Reduction (송전망 축약을 위한 교육용 시뮬레이터 개발)

  • Kim, Hyun-Houng;Lee, Woo-Nam;Kim, Wook;Park, Jong-Bae;Shin, Joong-Rin
    • The Transactions of The Korean Institute of Electrical Engineers
    • /
    • v.58 no.10
    • /
    • pp.1902-1910
    • /
    • 2009
  • This paper presents a graphical windows-based program for the education and training for novel network reduction. The object of developed simulator is to provide users with a simple and useable tool for gaining an intuitive feel for power system analysis. The developed simulator consists of the main module (MMI,GUI), the location marginal price module (LMP), the clustering module and network reduction module. Each module has a separate graphical and interactive interfacing window. The developed simulator needs with the PSS/E input data format, generator cost function, location information. Line admittances of reduced network was determined by using the power flow method(Newton-Raphson). So line flow of reduced network is almost same to original power system. Results of reduced network are compared on the window in the tabular format. Therefore, the developed simulator can be utilized as a useful tool for effective education and training for power system analysis.

An Analysis of Learning Objective Characteristics of Educational Programs of Centers for the University Affiliated Science-Gifted Education Using Semantic Network Analysis (언어네트워크분석을 활용한 대학부설 과학영재교육원 교육프로그램의 학습목표 특성 분석)

  • Park, Kyeong-Jin;Ryu, Chun-Ryol;Choi, Jinsu
    • Journal of Gifted/Talented Education
    • /
    • v.27 no.1
    • /
    • pp.17-35
    • /
    • 2017
  • The purpose of this study is to analyze the learning objectives characteristics of educational programs of centers for the university affiliated science-gifted education using semantic network analysis, we examined the applicability of semantic network analysis in analyzing learning objectives by comparing the results of analysis with Bloom's revised taxonomy. For this purpose, 702 learning objectives presented in 169 science subjects were selected as subjects to be analyzed. After classifying and coding the learning objectives according to Bloom's revised taxonomy, we conducted a semantic network analysis to investigate the relationship between learning objectives. The results of the analysis are as follows. First, we looked at the number of learning objectives used for each subject, and about 3 elementary school levels and about 6 middle school levels were used. Second, the knowledge dimension such as 'factual and conceptual knowledge' and cognitive process dimension such as 'remember', 'understand', and 'create' was high regardless of the research method and school level. Third, the results of analysis based on the weighting through the semantic network analysis method, the elementary school level emphasize activities th be applied to the actual experimental process through learning about scientific facts, while the middle school level emphasize the understanding of scientific facts and concepts themselves. As a result, it can be seen that the semantic network analysis can analyze characteristics of various learning objectives rather than the conventional simple statistical analysis.

A Study on Personal Network Structure of Local Press Organizations in Korea (지역 언론에 내재한 연고 네트워크 구조에 대한 연구: 밀집 경향과 지형상의 특성 분석을 중심으로)

  • Kwon, Jang-Won
    • Korean journal of communication and information
    • /
    • v.33
    • /
    • pp.53-86
    • /
    • 2006
  • This paper presents comparative analysis of the traits of personal network structure shaping in local press organizations of Korea. For this analysis, this study attempts to investigate three topics. First, the density traits of personal network structure in the whole of local press organization. Second, the comparison of density trait shaping in personal network structure between press section of local broadcasting stations and local newspaper companies. Third, the positional trait in each local press organization. To answer the questions, the data concerning commissioners and executive members in local daily newspapers and local broadcasting organizations from the Civic Government to the People's Government have been collected and analyzed. The interconnections of regional(birthplace) and educational(university graduated) aspect were analyzed via methods of cross analysis, density analysis and correspondence analysis. In brief, major findings of this study are as follows ; As a result of analyzing cross analysis and density analysis of the personal network based of regional and educational aspect, the numerical value of density was too high on the whole of local press organizations. But, especially local newspaper companies has been showed that was higher density compared with press section of local broadcasting stations. And, positional distance between local press organizations were showed obviously in the case of regional(birthplace) aspect. But, in case of educational aspect, positional distance were showed obviously between commissioners and executive members.

  • PDF

A Study on the Optimum Locations of University Restaurant (대학시설의 최적배치계획에 관한 연구 - 대학식당을 중심으로 -)

  • Kim, Jong-Seok
    • Journal of the Korean Institute of Educational Facilities
    • /
    • v.5 no.2
    • /
    • pp.30-39
    • /
    • 1998
  • The paper analyses the optimum locations of university facilities. Pick up a student restaurant, and, using network model, do that examine the following thing with a purpose. 1) Do comparison examination with a current location and optimum location of restaurant. 2) Plan an location of existing restaurant again, and examine location of new restaurant. As a result, made clear what that did the total sum of distance with a minimum could utilize.

  • PDF

The Relationship between the Pedestrian Movement Pattern and the Pedestrian Network at a University Campus (대학 캠퍼스 보행자 이동패턴과 보행네트워크간의 상호관련성)

  • Lee, Yu-Mi;Shin, Haeng-Woo
    • Journal of the Korean Institute of Educational Facilities
    • /
    • v.21 no.2
    • /
    • pp.25-32
    • /
    • 2014
  • Many Korean university campuses are located on hilly terrain where the hierarchy of the path system is unclear. Therefore, it is difficult to analyze the pedestrian network through space syntax, in which only horizontal direction changes are considered as depths of space. The purpose of this study is to compare pedestrian movement patterns and space syntax analysis in order to find their relevance to each other and the relationship between them. We conducted a survey regarding the most-visited buildings and pathways at S-University, which is located on a hilly area in Seoul. The survey results were compared with the Space Syntax integration map by regression analysis. For the segments where the relationship between pedestrian volume and integration was weak, field observations were conducted. As a result, topographical aspects, functional aspects, and location aspects were observed as the main influential factors. In addition, the research proposes that adding an extra axial line per vertical directional change can potentially compensate for the low relevance of stairs. This study suggests the possibility and the necessity of three-dimensional space syntax programs and emphasizes the importance of campus planning for the pedestrian environment.

Improved Deep Residual Network for Apple Leaf Disease Identification

  • Zhou, Changjian;Xing, Jinge
    • Journal of Information Processing Systems
    • /
    • v.17 no.6
    • /
    • pp.1115-1126
    • /
    • 2021
  • Plant disease is one of the most irritating problems for agriculture growers. Thus, timely detection of plant diseases is of high importance to practical value, and corresponding measures can be taken at the early stage of plant diseases. Therefore, numerous researchers have made unremitting efforts in plant disease identification. However, this problem was not solved effectively until the development of artificial intelligence and big data technologies, especially the wide application of deep learning models in different fields. Since the symptoms of plant diseases mainly appear visually on leaves, computer vision and machine learning technologies are effective and rapid methods for identifying various kinds of plant diseases. As one of the fruits with the highest nutritional value, apple production directly affects the quality of life, and it is important to prevent disease intrusion in advance for yield and taste. In this study, an improved deep residual network is proposed for apple leaf disease identification in a novel way, a global residual connection is added to the original residual network, and the local residual connection architecture is optimized. Including that 1,977 apple leaf disease images with three categories that are collected in this study, experimental results show that the proposed method has achieved 98.74% top-1 accuracy on the test set, outperforming the existing state-of-the-art models in apple leaf disease identification tasks, and proving the effectiveness of the proposed method.

Development of ASEAN Network Model on Information Literacy

  • Sacchanand, Chutima
    • Journal of Information Science Theory and Practice
    • /
    • v.10 no.1
    • /
    • pp.18-29
    • /
    • 2022
  • This study aimed at overviewing the situation of information literacy education and research in the Association of Southeast Asian Nations (ASEAN) region, and developing an ASEAN network model on information literacy. This research used documentary and qualitative research methods. Key resources consisted of twenty bibliometric studies and related documents and two groups of key persons. The first group consisted of twenty-seven purposive key persons from eight countries, and the second group consisted of seven key persons from five countries. The research instruments comprised a data collection form and focus group/ interviewing forms. Data was collected by focus group discussion and online interviews, and qualitative content analysis was used in data analysis and presented descriptively. Research findings showed that: 1) information literacy education and research in the ASEAN region varied across countries and placed importance on the educational context. Singapore was found to be the most leading and productive country in ASEAN in information literacy with the highest number of journal articles on the international scale, and was among the most contributing groups at the regional and global level; 2) the ASEAN Network on Information Literacy (ASEAN-NIL) has been developed as a model with its principles, objectives, management system, activities, and promotion strategies. Its strengths are an integrated scope, multidimensional orientation, and interdisciplinary and collaborative partnerships at the national, regional, and international level, suitable for the ASEAN context, the online environment, and the digital educational ecosystem.