• Title/Summary/Keyword: Basic science-oriented

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Safety-Oriented Consumer Behavior Associated with Safety Information Search (소비자안전 정보탐색에 따른 안전추구행동)

  • Oh, Kyoung-Im;Lee, Seung-Sin
    • Journal of the Korean Home Economics Association
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    • v.50 no.5
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    • pp.101-113
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    • 2012
  • This study aims to examine consumer product safety search levels, as well as their response to safety-oriented behavior change, in a bid to use the results in the diverse policy formulation of government and business, and as basic data for securing consumer safety. The findings of this study are outlined as follows. First, for consumer safety information search access and reliability, in the case of access, accessibility via TV and other press media was high, while accessibility via education (seminars, lectures, practice and campaigns) was low. Second, consumer safety-oriented behaviors were examined before and after purchasing products; there was a significant difference associated with monthly income prior to buying products. Third, in order to determine the influence of variables related to consumer safety-oriented behaviors, consumer safety-oriented behaviors as a dependent variable underwent regression analysis; information search access and reliability, and monthly income were found to significantly influence consumer behavior.

Social Pedestrian Group Detection Based on Spatiotemporal-oriented Energy for Crowd Video Understanding

  • Huang, Shaonian;Huang, Dongjun;Khuhroa, Mansoor Ahmed
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.12 no.8
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    • pp.3769-3789
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    • 2018
  • Social pedestrian groups are the basic elements that constitute a crowd; therefore, detection of such groups is scientifically important for modeling social behavior, as well as practically useful for crowd video understanding. A social group refers to a cluster of members who tend to keep similar motion state for a sustained period of time. One of the main challenges of social group detection arises from the complex dynamic variations of crowd patterns. Therefore, most works model dynamic groups to analysis the crowd behavior, ignoring the existence of stationary groups in crowd scene. However, in this paper, we propose a novel unified framework for detecting social pedestrian groups in crowd videos, including dynamic and stationary pedestrian groups, based on spatiotemporal-oriented energy measurements. Dynamic pedestrian groups are hierarchically clustered based on energy flow similarities and trajectory motion correlations between the atomic groups extracted from principal spatiotemporal-oriented energies. Furthermore, the probability distribution of static spatiotemporal-oriented energies is modeled to detect stationary pedestrian groups. Extensive experiments on challenging datasets demonstrate that our method can achieve superior results for social pedestrian group detection and crowd video classification.

Technology Planning-Based Management for the Dissemination of R&D Outcome of Government Supported Research Institutes

  • Choe, Kyungil
    • Industrial Engineering and Management Systems
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    • v.6 no.1
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    • pp.49-54
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    • 2007
  • This study deals with technology planning-based management for Basic R&D Programs of government supported research institutes (GRIs). The Korean Research Council for Industrial Science and Technology which consists of major GRIs needs to implement new government policies which focus on the dissemination of R&D outcome, collaborative research, and performance-oriented R&D investment. The major characteristics of technology planning-based management include the hierarchy of market-oriented technology plans and the valuation of core technologies. We also suggest technology classifications and project network diagrams.

Effectiveness analysis based on PJBL of Liberal Arts Computing (PJBL기반의 교양컴퓨터 수업의 효과성 분석)

  • Jin-Ah, Yoo
    • Journal of Integrative Natural Science
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    • v.15 no.4
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    • pp.163-169
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    • 2022
  • Currently, many universities are implementing software-oriented universities and artificial intelligence-oriented universities to foster software-oriented manpower. We are educating students to design and produce computational thinking and coding directly with their major knowledge. However, computer education is not easy for non-majors, and there are many difficulties in coding. The results of responses from 104 students from the College of Health Sciences and College of Social Management who took the liberal arts computer at University H were analyzed using SPSS 26.0 version. In the liberal arts computer class for non-majors, a PJBL-based class plan was proposed. The effectiveness of PJBL-based classes was confirmed through a questionnaire for the improvement of artificial intelligence liberal arts courses. As a result, PJBL-based education showed statistically significant results in terms of satisfaction, effectiveness, and self-efficiency of classes regardless of major.

Evolutionary Computing Driven Extreme Learning Machine for Objected Oriented Software Aging Prediction

  • Ahamad, Shahanawaj
    • International Journal of Computer Science & Network Security
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    • v.22 no.2
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    • pp.232-240
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    • 2022
  • To fulfill user expectations, the rapid evolution of software techniques and approaches has necessitated reliable and flawless software operations. Aging prediction in the software under operation is becoming a basic and unavoidable requirement for ensuring the systems' availability, reliability, and operations. In this paper, an improved evolutionary computing-driven extreme learning scheme (ECD-ELM) has been suggested for object-oriented software aging prediction. To perform aging prediction, we employed a variety of metrics, including program size, McCube complexity metrics, Halstead metrics, runtime failure event metrics, and some unique aging-related metrics (ARM). In our suggested paradigm, extracting OOP software metrics is done after pre-processing, which includes outlier detection and normalization. This technique improved our proposed system's ability to deal with instances with unbalanced biases and metrics. Further, different dimensional reduction and feature selection algorithms such as principal component analysis (PCA), linear discriminant analysis (LDA), and T-Test analysis have been applied. We have suggested a single hidden layer multi-feed forward neural network (SL-MFNN) based ELM, where an adaptive genetic algorithm (AGA) has been applied to estimate the weight and bias parameters for ELM learning. Unlike the traditional neural networks model, the implementation of GA-based ELM with LDA feature selection has outperformed other aging prediction approaches in terms of prediction accuracy, precision, recall, and F-measure. The results affirm that the implementation of outlier detection, normalization of imbalanced metrics, LDA-based feature selection, and GA-based ELM can be the reliable solution for object-oriented software aging prediction.

Personality-based Career Attitudes of Nursing Students (간호대학생의 직업인성에 대한 주관성 연구)

  • Kim Boon-Han;Kim Yoon-Sook
    • Journal of Korean Academy of Nursing
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    • v.35 no.3
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    • pp.503-513
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    • 2005
  • Purpose: The purpose of this study was to explore the structure and characteristics of nursing college students' personality-based career attitudes. Method: A Q-methodology was used to identify factors in nursing students' personality-based career attitudes. A Q sample was collected from in-depth and objective interviews and literature reviews. A P sample consisted of 27 nursing students. Result: Results revealed three factors: Deliberateness-oriented, Positive-oriented, and Negative-oriented. The 'Deliberateness-oriented' factor was characterized by preference of logical and objective ways in evaluation and trying to seek deep relationships with only a small number of people. The 'Positive-oriented' factor showed creative, autonomous and sociable traits and put value on extensive interpersonal relations. The 'Negative-oriented' factor focused on possibility and enjoyed artistic actions. All 3 factors were negative in NGO or political activities. Conclusion: Based on this result, curriculum development for nursing students should give students a variety of experiences. These findings will be the basic data for finding appropriate positions within the work place for nursing students and help them select appropriate careers for their own personality types.

Application and Evaluation of Object-Oriented Educational Programming Language 'Dolittle' for Computer Science Education in Secondary Education (중등 컴퓨터과학교육을 위한 객체지향형 EPL '두리틀'의 적용 및 평가)

  • Kwon, Dae-Yong;Gil, Hye-Min;Yeum, Yong-Cheul;Yoo, Seoung-Wook;Kanemune, Susumu;Kuno, Yasushi;Lee, Won-Gyu
    • The Journal of Korean Association of Computer Education
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    • v.7 no.6
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    • pp.1-12
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    • 2004
  • Current computer education is difficult to educate basic concepts and principals of the computer science because the 7th curriculum of computer education is focused on the application of software. According to the ACM K-12 report about the computer science education model, current computer education is taking the wrong way and we should put the highly priority on the education of the fundamentals through programming languages for a better computer education oriented to the computer science. This paper introduces a new object-oriented educational programming language "Dolittle". The design principals of Dolittle are simple syntax of Korean, incremental programming, text based programming, aliasing of function, and object-oriented programming. Being applied to middle school classes, we can confirm that Dolittle is easy to learn, and gives rise to high interest and keeps interest through a course, and also is of great practical use in class for programming novice.

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Object-Oriented Mission Modeling for Multiple Transport Aircraft

  • Zang, Jing;Liu, Hu;Liu, Tianping;Ni, Xianping
    • International Journal of Aeronautical and Space Sciences
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    • v.14 no.3
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    • pp.264-271
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    • 2013
  • A method of multiple transport-aircraft mission modeling is proposed in order to improve the efficiency of evaluating and optimizing pre-mission plans. To deal with the challenge of multiple transport-aircraft missions, the object-oriented modeling method is utilized. The elements of the mission are decomposed into objects and businesses, And the major mission objects and their important properties are summarized. A complex mission can be broken down into basic business modules such as the ground section and flight section. The business models of loading and fueling services in the ground section are described. The business model of the flight section is composed of an air route and flight profile with the flight equation and the fuel consumption model. The logical relationship of objects and business modules is introduced. The architecture of the simulation system, which includes a database, computation module, graphical user interface (GUI) module, and a result analysis module, is established. A sample case that includes two different plans is provided to verify the model's ability to achieve multi-aircraft composite mission simulation.

A Q-Methodological Study on the Radiologist's Image of Radiology College Students Experienced Clinical Practice (임상실습을 경험한 방사선과 학생의 방사선사 이미지에 대한 주관성 연구)

  • Kim, Young-Ran
    • Journal of the Korea Convergence Society
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    • v.11 no.7
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    • pp.51-57
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    • 2020
  • This study was conducted to examine the type of subjective perceptions and characteristics of the type toward the image of students enrolled in the Department of Radiology who experienced clinical training by applying Q Methodology which is aiming at the research of human subjectivity, and provide basic data for educational programs for the Department of Radiology to establish the image of a radiological technologist based on the result. This study conducted convenience sampling with 30 students of the Department of Radiology who experienced their first clinical training for 8 weeks as a P sample, forcing 33 Q samples to be distributed on the nine-point scale Q distribution chart. After that, this study processed collected data with principal factor analysis by QUANL program. Study results show that Eigen value was more than 1.0, which was divided into 2 types. Type 1 was "Patient-oriented" and type 2 was "Organization-oriented". These results can be helpful as a basic resources to understand Radiology Students who will choose a job by using different sense of value of their job.

An Implementation of Flood Simulation in the Saemangeum Water Resources Management System using an Object-oriented Geographic Information System (객체-지향 지리정보시스템을 이용한 새만금 수자원 관리 시스템의 홍수방어 시뮬레이션 구현)

  • Lee, Hong-Lo
    • Journal of the Korean Association of Geographic Information Studies
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    • v.6 no.2
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    • pp.33-45
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    • 2003
  • This paper defines the prototype of the geographic-object field that links the geographic-object and the geographic-field using an object-oriented geographic information system, and then implements the flood simulation in the saemangeum water resources management system that manipulates the water quantity of saemangeum lake and the height of gate using the watershed-object field. This paper combines the natural phenomena with the artificial phenomena that occurs on the water resources of the saemangeum, and designs the object oriented class hierarchy that is composed of the total watershed-object field, and then presents the algorithm for flood control. To visualize the class hierarchy of the whole geographic-object field and the partial geographic-object field, I use the UML(Unified Modeling Language). Attributes and methods of each class can acquire the functional reusability and compatibility using the COM of the ZEUS and the Visual Basic 6.0 of Win32 APIs. By means of implementing the flood simulation in the Saemangeum water resources management system, finally, this paper contributes on the efficient management of water resources.

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