• Title/Summary/Keyword: 융합모델검증

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Business Model Innovation in the R&D Service Sector: A Case Study of Automobile R&D-service Firms (연구개발서비스업에서의 비즈니스모델 혁신: 자동차 연구개발전문기업의 사례 연구)

  • Kim, Jinhyung;Kim, Jungho;Park, Sunyoung
    • Journal of Technology Innovation
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    • v.22 no.4
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    • pp.21-55
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    • 2014
  • The rates of technological innovation and environmental change as well as market competition have recently accelerated, which makes it difficult for firms to satisfy the needs of their customers through existing product innovation or limited services. Some firms have attempted to find the solutions to this problem by conducting business model (BM) innovation. This study reviews the theoretical discussion to BM innovation and suggests propositions concerning the necessity of BM innovation and conditions of successful BM innovation. Furthermore, the study examines the applicability of the propositions and draws strategic implications by analysing the cases of two world-wide leading firms, AVL and ETAS, in the automobile R&D service sector. In particular, the study investigates how the firms with technological competence in the R&D service sector obtain market performance through BM innovation. Results of this study show that the case firms recognize the necessity of BM innovation based on product (or technology)-service fusion to effectively propose customer value and create corporate profit. Also, the firms exploit firm-specific complementary assets for successful BM innovation. This paper contributes to the literature of innovation management by promoting academic discussion concerning BM innovation in Korea and suggesting strategic implications for further development of R&D service sector and related firms in Korea.

Developing Competency Based Integrated Curriculum for Fostering Sports Marketer in Sports Industry (스포츠마케터 인재양성을 위한 역량기반 융합형 교육과정 개발)

  • Kim, Jin-Se;Ahn, Jai-Han;Kim, Mi-Suk
    • Journal of Digital Convergence
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    • v.16 no.6
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    • pp.449-462
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    • 2018
  • The purpose of this study is to develop a competency-based convergence curriculum for the development of sports marketers, sports talent in the sports industry. For this purpose, we conducted literature analysis, in-depth interviews and job analysis to derive necessary capabilities to become sports marketers, draw up a capability profile, and then developed a capability model through expert verification. Sports marketers ' capacity models were divided into sport marketing / PR and sports events by type of experience, with six common basic competencies including sports mind and 12 professional competencies including sponsorships. Sports marketers education courses developed based on capacity models are composed of understanding of sports industry, sports marketing communication, sports law, understanding of sports facility, sports facilities management, sports sponsorship, sports media, sports licensing, sports agent, sports event planning, sports event management, make a proposal, sports event field practice. The developed training courses for sports marketers will be used in colleges and private education institutions related to the sports industry, contributing to fostering and expanding sports industry talent.

Evaluation on Fire Available Safe Egress Time of Commercial Buildings based on Artificial Neural Network (인공신경망 기반 상업용 건축물의 화재 피난허용시간 평가)

  • Darkhanbat, Khaliunaa;Heo, Inwook;Choi, Seung-Ho;Kim, Jae-Hyun;Kim, Kang Su
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.25 no.6
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    • pp.111-120
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    • 2021
  • When a fire occurs in a commercial building, the evacuation route is complicated and the direction of smoke and flame is similar to that of the egress route of occupants, resulting in many casualties. Performance-based evacuation design for buildings is essential to minimize human casualties. In order to apply the performance-based evacuation design to buildings, it requires a complex fire simulation for each building, demanding a large amount of time and manpower. In order to supplement this, it would be very useful to develop an Available Safe Egress Time (ASET) prediction model that can rationally derive the ASET without performing a fire simulation. In this study, the correlations between fire temperature with visibility and toxic gas concentration were investigated through a fire simulation on a commercial building, from which databases for the training of artificial neural networks (ANN) were created. Based on this, an ANN model that can predict the available safe egress time was developed. In order to examine whether the proposed ANN model can be applied to other commercial buildings, it was applied to another commercial building, and the proposed model was found to estimate the available safe egress time of the commercial building very accurately.

Usability Evaluation Model for Locomotion Technology in VR Space (VR 공간에서의 이동기술 평가를 위한 사용성평가 모델)

  • Ding, Xiu Hui;Xie, Qiao;Jang, Young-Jick;Yun, Tae-Soo
    • Journal of the Korea Convergence Society
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    • v.10 no.9
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    • pp.1-9
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    • 2019
  • In this paper, we propose an evaluation model to evaluate the usability of locomotion technologies in a virtual environment (VE; Virtual Environment) and try to verify them through a case study. The order of this study firstly, the factors for analysis are derived through theoretical approach to locomotion technology on VR. Second, the definition and concept of mobile technology and usability evaluation in VR are established theoretically and the elements for analysis are derived through the literature survey through the theoretical approach to VE. Third, based on this, a usability evaluation model is proposed to evaluate locomotion technologies in the VE. Finally, the results are derived by experimenting and analyzing the existing VR games applied with the three locomotion technologies derived from the literature survey. Through this paper, the locomotion technology in VR is not used separately, but can propose mobile technology that conforms to VR game content characteristics by assessing its usability and analyzing it, and it is considered to be a significant data that can suggest criteria for identifying problems in locomotion technology.

A DID-Based Transaction Model that Guarantees the Reliability of Used Car Data (중고자동차 데이터의 신뢰성을 보장하는 DID기반 거래 모델)

  • Kim, Ho-Yoon;Han, Kun-Hee;Shin, Seung-Soo
    • Journal of Convergence for Information Technology
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    • v.12 no.4
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    • pp.103-110
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    • 2022
  • Online transactions are more familiar in various fields due to the development of the ICT and the increase in trading platforms. In particular, the amount of transactions is increasing due to the increase in used transaction platforms and users, and reliability is very important due to the nature of used transactions. Among them, the used car market is very active because automobiles are operated over a long period of time. However, used car transactions are a representative market to which information asymmetry is applied. In this paper presents a DID-based transaction model that guarantees reliability to solve problems with false advertisements and false sales in used car transactions. In the used car transaction model, sellers only register data issued by the issuing agency to prevent false sales at the time of initial sales registration. It is authenticated with DID Auth in the issuance process, it is safe from attacks such as sniping and middleman attacks. In the presented transaction model, integrity is verified with VP's Proof item to increase reliability and solve information asymmetry. Also, through direct transactions between buyers and sellers, there is no third-party intervention, which has the effect of reducing fees.

Stock Price Direction Prediction Using Convolutional Neural Network: Emphasis on Correlation Feature Selection (합성곱 신경망을 이용한 주가방향 예측: 상관관계 속성선택 방법을 중심으로)

  • Kyun Sun Eo;Kun Chang Lee
    • Information Systems Review
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    • v.22 no.4
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    • pp.21-39
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    • 2020
  • Recently, deep learning has shown high performance in various applications such as pattern analysis and image classification. Especially known as a difficult task in the field of machine learning research, stock market forecasting is an area where the effectiveness of deep learning techniques is being verified by many researchers. This study proposed a deep learning Convolutional Neural Network (CNN) model to predict the direction of stock prices. We then used the feature selection method to improve the performance of the model. We compared the performance of machine learning classifiers against CNN. The classifiers used in this study are as follows: Logistic Regression, Decision Tree, Neural Network, Support Vector Machine, Adaboost, Bagging, and Random Forest. The results of this study confirmed that the CNN showed higher performancecompared with other classifiers in the case of feature selection. The results show that the CNN model effectively predicted the stock price direction by analyzing the embedded values of the financial data

A Study of Development of Transmission Systems for Next-generation Terrestrial 4K UHD & HD Convergence Broadcasting (차세대 지상파 4K UHD & HD 융합방송을 위한 전송 시스템 개발에 관한 연구)

  • Oh, JongGyu;Won, YongJu;Lee, JinSub;Kim, YongHwan;Paik, JongHo;Kim, JoonTae
    • Journal of Broadcast Engineering
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    • v.19 no.6
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    • pp.767-788
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    • 2014
  • The worldwide transition from analog to digital broadcasting has now been completed and the need to study next generation standards for Ultra High Definition TV (UHDTV) broadcasting, and broadcasting & communication convergence systems is rapidly growing. In particular, high resolution mobile broadcasting services are needed to satisfy recent consumers. Therefore, the development of highly efficient convergence broadcasting systems that provide fixed/mobile broadcasting through a single channel is needed. In this paper, a service scenario and requirements for providing 4K UHD & HD convergence broadcasting services through a terrestrial single channel are analyzed by employing the latest transmission and A/V codec technologies. Optimized transmission parameters for 6 MHz & 8 MHz terrestrial bandwidths are drawn, and receiving performances are measured under Additive White Gaussian Noise (AWGN) and time-varying multipath channels. From the results, in a 6 MHz bandwidth, the reliable receiving of HD layer data can be achieved when the receiver velocity is maximum 140 Km/h and is not achieved when the velocity is over 140 Km/h due to the limit of bandwidth. When the bandwidth is extended to 8 MHz, the reliable receiving of both 4K UHD and HD layer data is achieved under a very fast fading multipath channel.

A Study on Design Security Management Evaluation Model for Small-Medium size Healthcare Institutions (중소형 의료기관 보안관리 평가모델 설계 연구)

  • Kim, Ja Won;Chang, Hang Bae
    • The Journal of Society for e-Business Studies
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    • v.23 no.1
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    • pp.89-102
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    • 2018
  • In this paper, the security characteristics of healthcare institutions were derived through analysis of previous research, and the characteristics and status of small and medium sized healthcare institutions were surveyed through field surveys of small and medium sized healthcare institutions. The security management evaluation model for small and medium sized healthcare institutions was designed and verified based on the security characteristics of small and medium healthcare institutions. For the design, we compared and analyzed existing security management system and evaluation certification system of healthcare institutions. We also confirmed the proposed security management evaluation model and the degree of sharing. In addition, we conducted validation for the statistical verification of the proposed security management evaluation model for small and medium sized healthcare institutions, and we performed the relative priority analysis through AHP analysis to derive the weight for each item. The result of this study is expected to be used as a standard of security management evaluation model that can be practiced in small and medium sized healthcare institutions.

Secure De-identification and Data Sovereignty Management of Decentralized SSI using Restructured ZKP (재구성된 영지식 증명을 활용한 탈중앙형 자기 주권 신원의 안전한 비식별화 및 데이터 주권 관리)

  • Cho, Kang-Woo;Jeon, Mi-Hyeon;Shin, Sang Uk
    • Journal of Digital Convergence
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    • v.19 no.8
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    • pp.205-217
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    • 2021
  • Decentralized SSI(Self Sovereign Identity) has become an alternative to a new digital identity solution, but an efficient de-identification technique has not been proposed due to the unique algorithmic characteristics of data transactions. In this study, to ensure the decentralized operation of SSI, we propose a de-identification technique that does not remove identifiers by restructuring the verification results of ZKP (Zero Knowledge Proof) into a form that can be provided to the outside by the verifier. In addition, it is possible to provide restructured de-identification data without the consent of data subject by proposing the concept of differential sovereignty management for each entity participating in verification. As a result, the proposed model satisfies the domestic personal information protection law in a decnetralized SSI, in addition provides secure and efficient de-identification processing and sovereignty management.

Automobile Cruise Control System Using PID Controller and Kalman Filter (PID 제어와 Kalman 필터를 이용한 자동차 정속주행 시스템)

  • Kim, Su Yeol;Kim, Pyung Soo
    • KIPS Transactions on Computer and Communication Systems
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    • v.11 no.8
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    • pp.241-248
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    • 2022
  • In this paper, the PID controller and Kalman filter are applied to improve the automobile cruise control in the environment with disturbance and noise, and the performance is verified through diverse simulation. First, a mathematical model for a automobile cruise control system is introduced. Second, the performance degradation due to disturbance in the basic open-loop control based cruise control system is shown and then PID controller-based feedback control system to resolve this problem is verified. Third, to improve the performance degradation due to sensor noise that may occur during the feedback process, a Kalman filter is applied and verified. Ultimately, it is verified that the designed cruise control system with PID controller and Kalman filter not only satisfies all performance conditions but also has the ability for disturbance rejection and noise reduction.