• Title/Summary/Keyword: integrated data model

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The Effects of Environmentally-friendly Agricultural Product Brand Value on Brand Satisfaction, Trust and Loyalty (친환경 브랜드 농산물 상품의 브랜드 가치 요인이 브랜드 만족, 신뢰, 충성도에 미치는 영향에 관한 연구)

  • Kim, Tae-Hoon;Kim, Bo-Young
    • Journal of Distribution Science
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    • v.14 no.5
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    • pp.59-70
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    • 2016
  • Purpose - The objectives of this study are described as following. First, the study will establish the concept of Brand Values of Environmentally-friendly agricultural product through theoretical discussion. Second, it shows the effects of Environmentally-Friendly Agricultural Products brand value on Brand Satisfaction, Brand Trust and Brand Loyalty by empirical investigation. Third, in order to provide the methodology of brand development, literature regarding and questionnaire survey were used such as Environmentally-Friendly Agricultural Products Brand Value, Brand Satisfaction, Brand Trust and Brand Loyalty. Based up on the results, the research estimates consumers' relative priorities of Environmentally-Friendly Agricultural Products Brand Value factors in purchase. This research also suggests the consumer oriented new brand development and the progressive direction for the successful launching of Korean Environmentally-Friendly Agricultural Products Brand. Research design, data, and methodology - Because the relative literatures reviewed regarding not only each factor but also the relationships among them, Brand Value was categorized into 4 dimensions: Emotional, Social, Functional, and Epistemic Value. Then, Brand Loyalty was added as an outcome variable and Brand Satisfaction, Brand Trust were also added as mediators. The proposed research model and 13 hypotheses were created and 23 measurement items were developed. A face-to-face questionnaire survey with items concerning the Brand Value of Environmentally-Friendly Agricultural Products is conducted to housewives in metropolitan area in May 2016. Respondent answered about Brand Value, Brand Satisfaction, Brand Trust and Brand Loyalty in preferred Environmentally-Friendly Agricultural Products. 333 copies of the questionnaire were collected and analyzed using SPSS 21.0 and AMOS 20.0 to determine the reliability and validity of the measurements. Results - From the confirmatory factor analysis and a structural equation modeling, the outcomes of these studies were as follows; (1) Three Brand value dimensions, i.e. Emotional Value, Social Value, and Epistemic Value had a significant and positive impact on Brand Satisfaction, but Functional Value did not. (2) Social Value also had an impact on Brand Trust, (3) Brand Satisfaction significantly affected Brand Trust, and Brand Trust influenced on Brand Loyalty, and (4) Brand Satisfaction were perfectly effective in mediation between Emotional Value, Epistemic Value and Brand Trust, and it also partially mediated between Social Value and Brand Trust. Conclusions - According to the result of consumer research on Environmentally-Friendly Agricultural Product brand, 3 dimensions of brand value affected brand satisfaction, and especially Social Value was a significant positive dimension. So, marketers should concern about value proposition of Environmentally-Friendly Agricultural Product to consumers by using premium package design, store identity, and distinctive product. Consumers wanted to get self-esteem, self-regard, and high social position by purchasing it. This study has academic and practical significance, so the findings can be applied to a wide range of brand management strategies. However, there are some limitations; 1) limitation about development of new brand value dimensions, 2) limitation about gender in the area of respondents. Future research should be done with wide range of respondents.

IoT Open-Source and AI based Automatic Door Lock Access Control Solution

  • Yoon, Sung Hoon;Lee, Kil Soo;Cha, Jae Sang;Mariappan, Vinayagam;Young, Ko Eun;Woo, Deok Gun;Kim, Jeong Uk
    • International Journal of Internet, Broadcasting and Communication
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    • v.12 no.2
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    • pp.8-14
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    • 2020
  • Recently, there was an increasing demand for an integrated access control system which is capable of user recognition, door control, and facility operations control for smart buildings automation. The market available door lock access control solutions need to be improved from the current level security of door locks operations where security is compromised when a password or digital keys are exposed to the strangers. At present, the access control system solution providers focusing on developing an automatic access control system using (RF) based technologies like bluetooth, WiFi, etc. All the existing automatic door access control technologies required an additional hardware interface and always vulnerable security threads. This paper proposes the user identification and authentication solution for automatic door lock control operations using camera based visible light communication (VLC) technology. This proposed approach use the cameras installed in building facility, user smart devices and IoT open source controller based LED light sensors installed in buildings infrastructure. The building facility installed IoT LED light sensors transmit the authorized user and facility information color grid code and the smart device camera decode the user informations and verify with stored user information then indicate the authentication status to the user and send authentication acknowledgement to facility door lock integrated camera to control the door lock operations. The camera based VLC receiver uses the artificial intelligence (AI) methods to decode VLC data to improve the VLC performance. This paper implements the testbed model using IoT open-source based LED light sensor with CCTV camera and user smartphone devices. The experiment results are verified with custom made convolutional neural network (CNN) based AI techniques for VLC deciding method on smart devices and PC based CCTV monitoring solutions. The archived experiment results confirm that proposed door access control solution is effective and robust for automatic door access control.

The Relationship between Health Related Physical Fitness, Depression, and Quality of Life of the Elderly (노인의 건강체력과 우울, 삶의 질 관계 : 인지기능을 매개변수로)

  • Chun, Myung-Up;Choi, Jae-Won;Kang, Sung-Goo;Yoo, Ha-Na;Lee, Kyung-Ha
    • Journal of the Korea Convergence Society
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    • v.10 no.12
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    • pp.387-397
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    • 2019
  • The purpose of this study is to analyze the relationship between health related physical fitness, cognitive function, depression and quality of life variables of elderly people in a comprehensive way based on quantitative evaluation. The subjects of this study were 385 people who voluntarily participated in the elderly welfare center in Gyeonggi and Seoul the elderly people. As for the data collection methods, were measured the characteristics, depression and quality of life, cognitive function questionnaires along with measures of lower and upper body strength, dynamic equilibrium and agility, total endurance and grip strength. As a result, the first was a statistically significant correlation between integrated health of the elderly, cognitive function, quality of life and depression. Second, the analysis of cognitive function, elderly integrated health, quality of life, and depression revealed statistical significance among all variables. Third, there was the partial intervention effect of function in the quality of life and depression of the elderly.

Potential Knowledge Complementarities and Knowledge Exchange in Supply Channel Partners (공급망 참여 기업간 잠재적 지식 상호보완성과 지식 교환)

  • Ryoo, Sung-Yul;Kim, Kyung-Kyu
    • Asia pacific journal of information systems
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    • v.19 no.1
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    • pp.83-111
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    • 2009
  • Despite the growing emphasis on the importance of knowledge exchange among supply chain participants, few companies have fully exploited the knowledge resources held by their supply chain partners. Among many reasons for this phenomenon, recent literature on inter-firm knowledge exchange identifies knowledge complementarities between the supply channel partners as an important determinant of knowledge exchange. Firms participating in a supply chain are likely to exchange partners' complementary knowledge. In order to extract value from them, it is important to recognize the difference between the potential value and the implementation of this potential value. However, the literature fails to distinguish between potential knowledge complementarities and implemented knowledge complementarities. In order to realize the value of potential knowledge complementarities, knowledge should be exchanged and effectively integrated in the supply channel. Further, investigating inter-firm knowledge exchange from both partners' perspectives is important especially when there are interdependencies between the channel partners. The purpose of this research is to investigate the impact of potential knowledge complementarities on knowledge exchange in buyer-supplier relationships by looking at both partners' perspectives. This research also includes trust in partner's competence and inter-organizational information systems (IOIS) as they are relevant when the complementary knowledge flows between organizations. The data required for this field study was collected from 70 buyers and their suppliers in three multinational enterprises in two different industries (Automobile manufacturing and Telecommunication services) headquartered in Korea. The results indicate that potential knowledge complementarities between buyer and supplier do not directly influence knowledge exchange, but indirectly through trust in partner's competence. And the results indicate that competence-based trust and IOIS have direct effects on knowledge exchange. Empirical results also show that IOIS moderates the relationship between potential knowledge complementarities and knowledge exchange. This study is a first attempt to empirically verify the theoretical model about potential knowledge complementarities and to investigate the impact of potential knowledge complementarities on interfirm knowledge exchange. From a theoretical perspective, this study not only clarifies the distinction between potential knowledge complementarities and implemented knowledge complementarities, but also develops an instrument to measure the concept of potential knowledge complementarities in the context of operational and planning knowledge in a supply chain. Further, we develop a theoretical framework suggesting that potential knowledge complementarities of partners in a supply chain affect knowledge exchange directly and indirectly through competence-based trust. The findings from this study have some managerial implications for practicing managers as well. First, buyers should search for suppliers that have potential complementary knowledge, which can be integrated to create synergy through interfirm knowledge exchange. Furthermore, firms must develop mechanisms to identify potential complementary knowledge of partners. Second, firms should continue their endeavor to develop their own unique knowledge so that their knowledge can benefit the entire supply channel. Finally, trust among supply chain partners turns out to be an important factor for interfirm knowledge exchange. Therefore, effective management for engendering trustworthy buyer-supplier relationships should receive appropriate attention from managers.

Development of ICT-based road safety integrated facilities for pedestrian crossing (ICT기반 횡단보도용 교통안전 통합시설물 개발)

  • Cho, Choong-Yuen;Yim, Hong-Kyu;Lee, Min-Jae
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.18 no.12
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    • pp.93-99
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    • 2017
  • The rate of traffic accidents that occurred in Korea last year is 10 out of every 100,000 people, ranking it 6th among the 35 OECD member countries. The accident rate of children with disabilities and elderly people is also high. The purpose of this study is to introduce traffic safety facilities which have been developed for the reduction of traffic accidents in non-urban areas in Korea through an analysis of the related literature, the accident factors using traffic accident analysis system data and traffic accident characteristics. Traffic safety integrated facilities for ICT-based pedestrian crossings are subject to cross-sectional coverage of child protection zones. The smart safety fence prevents vehicles from parking illegally and informs pedestrians that there is an access vehicle on the pedestrian crossing. The smart bump is designed to warn drivers who are not aware of the pedestrians. In order to standardize the appropriate form and size of the traffic safety facilities for pedestrian crossings, we constructed a standard model for each type, considering the road function, press classification, power, lane number, geometric form, etc. As a result, the rate of traffic accidents involving vulnerable people was reduced. In addition, it is anticipated that the maintenance costs will be reduced by the use of a solar power supply and their compatibility with the existing installed safety fences.

Modelling protection behaviour towards micronutrient deficiencies: Case of iodine biofortified vegetable legumes as health intervention for school-going children

  • Mogendi, Joseph Birundu;De Steur, Hans;Gellynck, Xavier;Makokha, Anselimo
    • Nutrition Research and Practice
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    • v.10 no.1
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    • pp.56-66
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    • 2016
  • BACKGROUND/OBJECTIVES: Despite successes recorded in combating iodine deficiency, more than 2 billion people are still at risk of iodine deficiency disorders. Rural landlocked and mountainous areas of developing countries are the hardest hit, hence the need to explore and advance novel strategies such as biofortification. SUBJECTS/METHODS: We evaluated adoption, purchase, and consumption of iodine biofortified vegetable legumes (IBVL) using the theory of protection motivations (PMT) integrated with an economic valuation technique. A total of 1,200 participants from three land-locked locations in East Africa were recruited via multi-stage cluster sampling, and data were collected using two, slightly distinct, questionnaires incorporating PMT constructs. The survey also elicited preferences for iodine biofortified foods when offered at a premium or discount. Determinants of protection motivations and preferences for iodine biofortified foods were assessed using path analysis modelling and two-limit Tobit regression, respectively. RESULTS: Knowledge of iodine, iodine-health link, salt iodization, and biofortification was very low, albeit lower at the household level. Iodine and biofortification were not recognized as nutrient and novel approaches, respectively. On the other hand, severity, fear, occupation, knowledge, iodine status, household composition, and self-efficacy predicted the intention to consume biofortified foods at the household level; only vulnerability, self-efficacy, and location were the most crucial elements at the school level. In addition, results demonstrated a positive willingness-to-pay a premium or acceptance of a lesser discount for biofortification. Furthermore, preference towards iodine biofortified foods was a function of protection motivations, severity, vulnerability, fear, response efficacy, response cost, knowledge, iodine status, gender, age. and household head. CONCLUSIONS: Results lend support for prevention of iodine deficiency in unprotected populations through biofortification; however 'threat' appraisal and socio-economic predictors are decisive in designing nutrition interventions and stimulating uptake of biofortification. In principle, the contribution is threefold: 1) Successful application of the integrated model to guide policy formulation; 2) Offer guidance to stakeholders to identify and tap niche markets; 3) stimulation of rural economic growth around school feeding programmes.

Performance Evaluation of Hypersonic Turbojet Experimental Aircraft Using Integrated Numerical Simulation with Pre-cooled Turbojet Engine

  • Miyamoto, Hidemasa;Matsuo, Akiko;Kojima, Takayuki;Taguchi, Hideyuki
    • Proceedings of the Korean Society of Propulsion Engineers Conference
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    • 2008.03a
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    • pp.671-679
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    • 2008
  • The effect of Pre-cooled Turbojet Engine installation and nozzle exhaust jet on Hypersonic Turbojet EXperimental aircraft(HYTEX aircraft) were investigated by three-dimensional numerical analyses to obtain aerodynamic characteristics of the aircraft during its in-flight condition. First, simulations of wind tunnel experiment using small scale model of the aircraft with and without the rectangular duct reproducing engine was performed at M=5.1 condition in order to validate the calculation code. Here, good agreements with experimental data were obtained regarding centerline wall pressures on the aircraft and aerodynamic coefficients of forces and moments acting on the aircraft. Next, full scale integrated analysis of the aircraft and the engine were conducted for flight Mach numbers of M=5.0, 4.0, 3.5, 3.0, and 2.0. Increasing the angle of attack $\alpha$ of the aircraft in M=5.0 flight increased the mass flow rate of the air captured at the intake due to pre-compression effect of the nose shockwave, also increasing the thrust obtained at the engine plug nozzle. Sufficient thrust for acceleration were obtained at $\alpha=3$ and 5 degrees. Increase of flight Mach number at $\alpha=0$ degrees resulted in decrease of mass flow rate captured at the engine intake, and thus decrease in thrust at the nozzle. The thrust was sufficient for acceleration at M=3.5 and lower cases. Lift force on the aircraft was increased by the integration of engine on the aircraft for all varying angles of attack or flight Mach numbers. However, the slope of lift increase when increasing flight Mach number showed decrease as flight Mach number reach to M=5.0, due to the separation shockwave at the upper surface of the aircraft. Pitch moment of the aircraft was not affected by the installation of the engines for all angles of attack at M=5.0 condition. In low Mach number cases at $\alpha=0$ degrees, installation of the engines increased the pitch moment compared to no engine configuration. Installation of the engines increased the frictional drag on the aircraft, and its percentage to the total drag ranged between 30-50% for varying angle of attack in M=5.0 flight.

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Development of a Numerical Model to Analyze the Formation and Development Process of River Mouth Bars (하구사주의 생성 및 발달을 해석하기 위한 수치모델의 개발)

  • Kim, Yeon-Joong;Woo, Joung-Woon;Yoon, Jong-Sung;Kim, Myoung-Kyu
    • Journal of Korean Society of Coastal and Ocean Engineers
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    • v.33 no.6
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    • pp.308-320
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    • 2021
  • An integrated sediment management approach that includes the recovery of the amount of declined sediment supply is effective as a fundamental solution to coastal erosion. During planning, it is essential to analyze the transfer mechanism of the sediments generated from estuaries (the junction between a river and sea) to assess the amount and rate of sediment discharge (from the river to sea) supplied back to the coast. Although numerical models that interpret the tidal sand bar flushing process during flooding have been studied, thus far, there has been no study focusing on the formation and development processes of tidal sand bars. Therefore, this study aims to construct wave deformation, flow regime calculation, and topographic change analysis models to assess the amount of recovered sediment discharge and reproduce the tidal sand bar formation process through numerical analysis for integrated littoral drift management. The tidal sand bar formation process was simulated, and the wave energy and duration of action concepts were implemented to predict the long-term littoral movement. The river flux and wave conditions during winter when tidal sand bars dominantly develop were considered as the external force conditions required for calculation. The initial condition of the topographic data directly after the Maeupcheon tidal sand bar flushing during flooding was set as the initial topography. Consequently, the tidal sand bar formation and development due to nearshore currents dependent on the incident wave direction were reproduced. Approximately 66 h after the initial topography, a sand bar formation was observed at the Maengbang estuary.

Relationship between Urban Environment and Local Temperature for Managing Urban Heat Island Effect in Neighborhood (근린단위의 도시열섬관리를 위한 국지온도와 도시환경의 관계)

  • Lee, Gunwon
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.18 no.10
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    • pp.806-816
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    • 2017
  • This study aims to offer effective policies for managing local temperatures and reducing the heat island effect by identifying elements that affect local temperatures. The three elements of natural environment, land use, and land coverage were first selected, and then control factors were applied, including season, weather, and measurement units for wind speed. In order to analyze these factors' relations to summer temperatures, an integrated model was developed, and an analysis was conducted of the urban heat island reduction effect of elements impacting local temperatures. The analysis used nationwide weather system (AWS) data from July and August 2007 and 2011-2016, land coverage data provided by the Ministry of Environment, and land use area data from local governments after rearranging them based upon their falling within a 500-meter radius ($0.79km^2$) of AWS measuring points. The study results show that the natural environment, land use, and land coverage all have a relation to changes in local temperatures. Natural elements have the greatest impact, and land use has the lowest. The results could provide basic data for establishing more effective policies to mitigate the heat island effect and strategies for enhancing the sustainability of cities.

Predictive Modeling of the Bus Arrival Time on the Arterial using Real-Time BIS Data (실시간 BIS자료를 이용한 간선도로의 버스도착시간 예측모형구축에 관한 연구)

  • Kim, Tae Gon;Ahn, Hyeun Chul;Kim, Seung Gil
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.29 no.1D
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    • pp.1-9
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    • 2009
  • Bus information system(BIS), as a part of the intelligent transportation system(ITS), is one of the most advanced public transportation systems which provide the real-time bus traffic information for the users waiting the buses at the bus stop. However, correct bus information data, such as the present bus location, the user waiting time, the bus arrival time, etc. are not provided for the bus users because the proper bus arrival time predictive models are not used yet in most of the cities operating the bus information system, including the metropolitan City of Ulsan. Thus, the purpose in this study is to investigate real-time bus traffic characteristic data for identifying the bus operation characteristics on the arterial under the study in the metropolitan City of Ulsan, analyze real-time bus traffic characteristic data on the ID locations of the arterial under the study, construct the optimal unit segment models for the unit segments which are the bus stop, node and travel section using the exponential smoothing, weighted smoothing and Kalman Filter methods, respectively, and finally suggest the optimal integrated model for predicting the real-time bus arrival time at the bus stop of the arterial under the study.