• Title/Summary/Keyword: Lack of communication

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Analysis of Risk Priority Number for Grid-connected Energy Storage System (계통연계형 에너지저장시스템의 위험우선순위 분석)

  • Kim, Doo-Hyun;Kim, Sung-Chul;Park, Jeon-Su;Kim, Eun-Jin;Kim, Eui-Sik
    • Journal of the Korean Society of Safety
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    • v.31 no.2
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    • pp.10-17
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    • 2016
  • The purpose of this paper is to deduct components that are in the group of highest risk(top 10%). the group is conducted for classification into groups by values according to risk priority through risk priority number(RPN) of FMEA(Failure modes and effects analysis) sheet. Top 10% of failure mode among total potential failure modes(72 failure modes) of ESS included 5 BMS(battery included) failure modes, 1 invert failure mode, and 1 cable connectors failure mode in which BMS was highest. This is because ESS is connected to module, try, and lack in the battery part as an assembly of electronic information communication and is managed. BMS is mainly composed of the battery module and communication module. There is a junction box and numerous connectors that connect these two in which failure occurs most in the connector part and module itself. Finally, this paper proposes RPN by each step from the starting step of ESS design to installation and operation. Blackouts and electrical disasters can be prevented beforehand by managing and removing the deducted risk factors in prior.

A Study on Casino Embezzlement Incident Analysis and Forensic Investigation Technology (카지노 횡령사건 분석과 포렌식 수사기술 연구)

  • Lee, Gyu-An;Park, Dae-Woo
    • The Journal of the Korea institute of electronic communication sciences
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    • v.6 no.1
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    • pp.105-110
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    • 2011
  • Embezzlement incident of staff at the casino occurred. Staff of some casinos have lower job satisfaction, moral gap is seriously considering a change jobs. In addition, cash lure of large amounts and a lack of money management system causes embezzlement incident. In this paper, the uniqueness of the casino industry and that employee job satisfaction is investigated. Content analysis of occurrence for casino embezzlement incident and tracking that bank account and bank check, suspect's call list, and so on that digital forensic investigation technology will be studied. Problems and solutions suggest that conducted a loss prevention program, a digital forensics technology and introduce of investigator. Through this study, the computerization of the casino business to embezzlement accident prevent will contribute to that give back profits of property to society, the develop of forensic investigation technology.

Engineering Theory: A Conversational Bridge Between Theoreticians and Practitioners in Discussion of Curriculum Development and Dissemination as Used in the DASH Program

  • Pottenger III, Francis M.;Son, Yeon-A;Kim, Joo-Hoon;Park, Hyun-Ju
    • Journal of The Korean Association For Science Education
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    • v.24 no.4
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    • pp.758-773
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    • 2004
  • This paper advances the thesis that the barrier separating curriculum theorists and practitioners is more than a difference in experiential and methodological orientation and is in part a product of a lack of appreciation of the complexities involved in curriculum development and dissemination. Discussed here is the possible use of engineering theory to facilitate meaningful communication and understanding about products and development. This work is an extension of the observation that curriculum development and dissemination can be characterized as an engineering process and shows how engineering theory provides connectivity between the multiple embedded domains of theory and of practice. To illustrate the thesis this paper offers an analysis of the Developmental Approaches in Science, Health, and Technology (DASH) program that has employed engineering theory in curriculum construction and dissemination. In this study, the role and place of engineering theory as applied to the DASH program is discussed to show how the components were designed and assembled into a fully functional curriculum and dissemination system. Engineering theory is presented as an interfacing organizer with the potential to facilitate meaningful communication between theorists and practitioners.

A Study on SSDP protocol based IoT / IoL Device Discovery Algorithm for Energy Harvesting Interworking Smart Home

  • Lee, Jonghyeok;Han, Jungdo;Cha, Jaesang
    • International Journal of Internet, Broadcasting and Communication
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    • v.10 no.2
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    • pp.7-12
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    • 2018
  • The spread of IoT (Internet of Things) technology that connects objects based on wired / wireless networks is accelerating, and IoT-based smart home technology that constitutes a super connected network connecting sensors and home appliances existing inside and outside the home is getting popular. In addition, demand for alternative energy technologies such as photovoltaic power generation is rapidly increasing due to rapid increase of consumption of energy resources. Recently, small solar power systems for general households as well as large solar power systems for installation in large buildings are being introduced, but they are effectively implemented due to limitations of small solar panels and lack of power management technology. In this paper, we have studied smart home structure and IoT / IoL device discovery algorithm for energy harvesting system based on photovoltaic power generation, It is possible to construct an efficient smart home system for device control.

The Impact of Movement Education Programs on the Empathy Ability of Disabled Children

  • Yun-Mi Min
    • International journal of advanced smart convergence
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    • v.12 no.4
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    • pp.277-285
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    • 2023
  • The purpose of this paper is to understand and express emotions and experiences from the perspective of others through empathy, which is crucial for maintaining social relationships. The smooth formation of interpersonal relationships through the physical activity of children with disabilities holds significant meaning. Children with disabilities often lack opportunities for interaction with their peers compared to typical children, and the absence of effective communication methods poses difficulties in forming relationships. Therefore, this study aimed to investigate the effects of a movement education program on enhancing empathy in children with disabilities. The program was implemented for 12 weeks from April to June 2023, involving five children with disabilities. The movement education program comprised 12 topics, encompassing physical, emotional, and cognitive domains. Empathy was measured in two areas: cognitive empathy and emotional empathy. The results indicated improvement in both cognitive and emotional empathy after the program compared to the pre-assessment. The rate of progress varied depending on the type and severity of the disability, but overall, positive changes in the development of empathy were observed. Through this research, it is hoped that movement programs can be practically utilized as a valuable resource.

Comparative Study of Ship Image Classification using Feedforward Neural Network and Convolutional Neural Network

  • Dae-Ki Kang
    • International Journal of Internet, Broadcasting and Communication
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    • v.16 no.3
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    • pp.221-227
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    • 2024
  • In autonomous navigation systems, the need for fast and accurate image processing using deep learning and advanced sensor technologies is paramount. These systems rely heavily on the ability to process and interpret visual data swiftly and precisely to ensure safe and efficient navigation. Despite the critical importance of such capabilities, there has been a noticeable lack of research specifically focused on ship image classification for maritime applications. This gap highlights the necessity for more in-depth studies in this domain. In this paper, we aim to address this gap by presenting a comprehensive comparative study of ship image classification using two distinct neural network models: the Feedforward Neural Network (FNN) and the Convolutional Neural Network (CNN). Our study involves the application of both models to the task of classifying ship images, utilizing a dataset specifically prepared for this purpose. Through our analysis, we found that the Convolutional Neural Network demonstrates significantly more effective performance in accurately classifying ship images compared to the Feedforward Neural Network. The findings from this research are significant as they can contribute to the advancement of core source technologies for maritime autonomous navigation systems. By leveraging the superior image classification capabilities of convolutional neural networks, we can enhance the accuracy and reliability of these systems. This improvement is crucial for the development of more efficient and safer autonomous maritime operations, ultimately contributing to the broader field of autonomous transportation technology.

Measurement and Modeling of Vegetation Loss in the Frequency Range of 1 $\sim$ 6 (1 $\sim$ 6 GHz대역 수풀손실 특성 측정 및 모델링)

  • Park, Yong-Ho;Jung, Myoung-Won;Han, Il-Tak;Pack, Jeong-Ki
    • Proceedings of the Korea Electromagnetic Engineering Society Conference
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    • 2005.11a
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    • pp.163-168
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    • 2005
  • Attenuation in vegetation is important, for both terrestrial and earth-space systems. However, the wide range of conditions and types of foliage makes it difficult to develop a generalized prediction procedure. Currently, there is also a lack of suitably prediction model and measured experimental data for vegetation loss. So in this paper, vegetation loss data for four different tree-species, including Dawn-redwood tree, Plane tree, Pine tree and Fir tree are obtained by measurement in the frequency range of 1.0 $\sim$ 6.0 GHz. The through or scattered component is calculated using a model based upon the theory of RET(Radiative Energy Transfer) and RET modeling parameters are extracted from the measured data.

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An Analysis of the Objects and Methods of Mathematical Connections in Elementary Mathematics Instruction (초등학교 수학 수업에 나타난 수학적 연결의 대상과 방법 분석)

  • Kim, YuKyung;Pang, JeongSuk
    • The Mathematical Education
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    • v.51 no.4
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    • pp.455-469
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    • 2012
  • Given the importance of mathematical connections in instruction, this paper analyzed the objects and the methods of mathematical connections according to the lesson flow featured in 20 elementary lessons selected as effective instructional methods by local educational offices in Korea. Mathematical connections tended to occur mainly in the introduction, the first activity, and the sum-up period of each lesson. The connection between mathematical concept and procedure was the most popular followed by the connection between concept and real-life context. The most prevalent method of mathematical connections was through communication, specifically the communication between the teacher and students, followed by representation. Overall it seems that the objects and the methods of mathematical connections were diverse and prevalent, but the detailed analysis of such cases showed the lack of meaningful connection. These results urge us to investigate reasons behind these seemingly good features but not-enough connections, and to suggest implications for well-connected mathematics teaching.

Consumer Type and Characteristics According to Word-of-Mouth Behavior (구전행동에 따른 소비자 유형과 특성)

  • Seo, Hyun-Jin;Lee, Kyu-Hye
    • Journal of the Korean Society of Clothing and Textiles
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    • v.37 no.1
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    • pp.27-38
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    • 2013
  • Word-of-mouth (WOM) communication (traditionally important in consumption) is expanding its influence into cyber space and is playing an important role in online shopping. Consumers who use online shopping might not readily make purchasing decisions due to information overload, lack of accurate product recognition, and the distrust of commercial information. Subsequently, people use WOM communication for a mutual interchange with others who share common concerns, interests, and purposes. This study examines the consumer characteristics, perceived risk on online shopping and benefits of online shopping according to WOM behavior that may significantly affect consumer actions. Factor analysis, t-test, one-way ANOVA, cluster analysis, and Chi-square analysis were used for statistical analysis to identify the differences in consumer characteristics. Online WOM behavior consumers purchased more various items than offline WOM behavior consumers; however, the most influential purchasing factor was price regardless of WOM behavior. Offline WOM behavior consumers have shown higher perceived online shopping risks and benefits.

News Media Coverage of Carbon Neutrality in Korea and China: A Big Data Analysis

  • Yifan Wang;Kyung Han You
    • Journal of Internet Computing and Services
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    • v.25 no.3
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    • pp.55-70
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    • 2024
  • This study aims to compare the differences in the carbon neutral agendas of the two countries based on the differing interest positions of the media in the two countries, as well as to analyze the carbon neutral media coverage in South Korea and China. It also seeks to identify the major topics emphasized in the carbon neutral news agenda setting process in the two countries. A total of 49,227 news articles from South Korea and 105,680 news articles from China, covering the period from the declaration of carbon neutrality in both countries in 2020 to May 9, 2022, were collected. CONCOR and topic modeling analyses were performed on these texts. The results found that South Korean media showed a preference for covering carbon neutrality from the perspective of its inhabitants, whereas Chinese media demonstrated a preference for covering carbon neutrality from the viewpoint of the nation. The discourses on coverages largely focus on areas such as energy strategy, business strategy, industrial growth, and international cooperation, with an obvious lack of discourse on the environment. The findings of this study expect to serve as a primary reference in establishing a news coverage strategy which is environmentally sustainable for the media.