• Title/Summary/Keyword: Smart Environment

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The Impacts of Entrepreneurships on Learning Competence and Export Performance of INVs: the Moderating Effect of Environmental Factors (국제신벤처기업의 기업가정신, 학습역량, 수출성과의 관계에서 외부환경 요인의 조절 효과)

  • Cho, Yeon-Sung
    • International Area Studies Review
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    • v.16 no.3
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    • pp.3-25
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    • 2012
  • This study is to look at the relationship of entrepreneurship(innovativeness, risk-taking), the learning competence, environmental factors(the domestic market hostility, the speed of technological change) and export performance in international new ventures(INVs). In addition, the integrated model is constructed for the purpose of analysis of the moderating effects of environmental factors. Through the existing investigation, nine hypotheses are set up. PLS(Partial Least Square) analysis method is used to sample of 115 INVs. Analysis, the two elements of entrepreneurship influenced the positive(+) in the learning competence and export performance. And the relationship of learning competence and export performance is significant. In the moderating effects, only the domestic market hostility has a significant moderating effects between the learning competence and innovativeness. The results of this research shows that innovativeness influence the learning competence playing a positive role in the performance in the domestic market is higher. This point illustrates the practical implications of the importance of innovation in learning empowerment.

A Study on the Application of Blockchain Technology to the Record Management Model (블록체인기술을 적용한 기록관리 모델 구축 방법 연구)

  • Hong, Deok-Yong
    • Journal of Korean Society of Archives and Records Management
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    • v.19 no.3
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    • pp.223-245
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    • 2019
  • As the foundation for the Fourth Industrial Revolution, blockchain is becoming an essential core infrastructure and technology that creates new growth engines in various industries and is rapidly spreading to the environment of businesses and institutions worldwide. In this study, the characteristics and trends of blockchain technology were investigated and arranged, its application to the records management section of public institutions was required, and the procedures and methods of construction in the records management field of public institutions were studied in literature. Finally, blockchain technology was applied to the records management to propose an archive chain model and describe possible expectations. When the transactions that record the records management process of electronic documents are loaded into the blockchain, all the step information can be checked at once in the activity of processing the records management standard tasks that were fragmentarily nonlinked. If a blockchain function is installed in the electronic records management system, the person who produces the document by acquiring and registering the document enters the metadata and information, as well as stores and classifies all contents. This would simplify the process of reporting the production status and provide real-time information through the original text information disclosure service. Archivechain is a model that applies a cloud infrastructure as a backend as a service (BaaS) by applying a hyperledger platform based on the assumption that an electronic document production system and a records management system are integrated. Creating a smart, electronic system of the records management is the solution to bringing scattered information together by placing all life cycles of public records management in a blockchain.

A Secure and Lightweight Authentication Scheme for Ambient Assisted Living Systems (전천 후 생활보조 시스템을 위한 안전하고 경량화 된 인증기법)

  • Yi, Myung-Kyu;Choi, Hyunchul;Whangbo, Taeg-Keun
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.19 no.4
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    • pp.77-83
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    • 2019
  • With the increase in population, the number of such senior citizens is increasing day by day. These senior citizens have a variety of care needs, but there are not enough health workers to look after them. Ambient Assisted Living (AAL) aims at ensuring the safety and health quality of the older adults and extending the number of years the senior citizens can live independently in an environment of their own preference. AAL provides a system comprising of smart devices, medical sensors, wireless networks, computer and software applications for healthcare monitoring. AAL can be used for various purposes like preventing, curing, and improving wellness and health conditions of older adults. While information security and privacy are critical to providing assurance that users of AAL systems are protected, few studies take into account this feature. In this paper, we propose a secure and lightweight authentication scheme for the AAL systems. The proposed authentication scheme not only supports several important security requirements needed by the AAL systems, but can also withstand various types of attacks. Also, the security analysis results are presented to show the proposed authentication scheme is more secure and efficient rather than existing authentication schemes.

A Study on the Deriving of Areas of Concern for Crime using the Mental Map (멘탈 맵을 이용한 범죄발생 우려 지역 도출에 관한 연구)

  • Park, Su Jeong;Shin, Dong Bin
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.37 no.3
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    • pp.177-188
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    • 2019
  • Recently, citizens are feeling anxious as 'Motiveless Crime' increases. The quality of citizens life is degraded and the degree of crime fear is increasing. In this study, based on various variables related to crime other than actual crime occurrence status, crime occurrence points (point line polygon) felt by citizens are created by using mental map methodology. And the purpose of this study is to derive the area of concern for crime through spatial overlap analysis using kernel density estimation analysis. It also uses spatial overlay analysis using kernel density estimation to derive areas of concern for crime occurrence. As a result, the local residents' request point and the areas of concern for crime were overlapped. In addition, the mental map indicating the fear of crime was constructed by mapping mainly the areas between the facilities, the non-construction area such as the narrow area, the security CCTV, the streetlight. This study is meaningful in that it tried to derive a crime occurrence concern area by using mental map method unlike the previous study related to crime. The results of this study, such as mental map, could be used in various fields such as construction of fragile crime map, guideline of crime prevention through environment design.

IoT Utilization for Predicting the Risk of Circulatory System Diseases and Medical Expenses Due to Short-term Carbon Monoxide Exposure (일산화탄소 단기 노출에 따른 순환계통 질환 위험과 진료비용 예측을 위한 IoT 활용 방안)

  • Lee, Sangho;Cho, Kwangmoon
    • Journal of Internet of Things and Convergence
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    • v.6 no.4
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    • pp.7-14
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    • 2020
  • This study analyzed the effect of the number of deaths of circulatory system diseases according to 12-day short-term exposure of carbon monoxide from January 2010 to December 2018, and predicted the future treatment cost of circulatory system diseases according to increased carbon monoxide concentration. Data were extracted from Air Korea of Korea Environment Corporation and Korea Statistical Office, and analyzed using Poisson regression analysis and ARIMA intervention model. For statistical processing, SPSS Ver. 21.0 program was used. The results of the study are as follows. First, as a result of analyzing the relationship between the impact of short-term carbon monoxide exposure on death of circulatory system diseases from the day to the previous 11 days, it was found that the previous 11 days had the highest impact. Second, with the increase in carbon monoxide concentration, the future circulatory system disease treatment cost was estimated at 10,123 billion won in 2019, higher than the observed value of 9,443 billion won at the end of December 2018. In addition, when summarized by month, it can be seen that the cost of treatment for circulatory diseases increases from January to December, reflecting seasonal fluctuations. Through such research, the future for a healthy life for all citizens can be realized by distributing various devices and equipment utilizing IoT to preemptively respond to the increase in air pollutants such as carbon monoxide.

A Study on the Habitat Suitability Index (HSI) of 'Hynobius leechii' in Central Forest Area, Korea (중부 산림지역 내 도롱뇽 서식지 적합성 지수(HSI)에 관한 연구)

  • Ko, Kyu Young;Koo, Bon Hak
    • Journal of Wetlands Research
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    • v.24 no.4
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    • pp.213-223
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    • 2022
  • This study was conducted to establish a Habitat Suitability index (HSI) based on literature research and field surveys on ecology and habitat of 'Hynobius leechii'. And this study will be used as basic data for qualitative evaluation of habitat environment. The survey sites were divided into natural habitats close to the prototype habitat and artificial restoration areas where Hynobius leechii was monitored. So the types of habitats were diversified. Hynobius leechii is a vulnerable species to climate change because it is affected by the microhabitat and has low mobility. HSI variables of Hynobius leechii were extracted through domestic and overseas literature, and standards were extracted from literature research and field survey. The standards were presented as a value of the physical allowable category in consideration of realization. To verify the study, an in-depth consultation was conducted by amphibians experts. HSI variables of Hynobius leechii were included 9 variables such as Overstory canopy cover(%), Understory cover(%), Water-pH, Soil-pH, Soil relative humidity(%), Leaf litter depth(cm), Rock substrates (%), Type of Coarse woody, Distance from Street or Pollutant(m).

Identity-Based Online/Offline Signcryption Without Random Oracles (ID기반 온라인/오프라인 사인크립션(Signcryption) 기법)

  • Park, Seung-Hwan;Kim, Ki-Tak;Koo, Woo-Kwon;Lee, Dong-Hoon
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.20 no.5
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    • pp.23-36
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    • 2010
  • Signcryption is a cryptographic primitive which offers authentication and confidentiality simultaneously with a cost lower than signing and encrypting the message independently. We propose a new cryptographic notion called Identity-based online/offline signcryption. The notion of online/offline scheme can be divided into two phases, the first phase is performed offline prior to the arrival of a message to be signed or encrypted and the second phase is performed online phase after knowing the message and the public key of recipient. The Online phase does not require any heavy computations such as pairings or exponents. It is particularly suitable for power-constrained devices such as smart cards. In this paper, we propose ID-based signcryption scheme and ID-based online/offline signcryption scheme where the confidentiality and authenticity are simultaneously required to enable a secure and trustable communication environment. To our best knowledge, this is the first ID-based online/offline signcryption scheme that can be proven secure in the standard model.

An Integrated Model for Predicting Changes in Cryptocurrency Return Based on News Sentiment Analysis and Deep Learning (감성분석을 이용한 뉴스정보와 딥러닝 기반의 암호화폐 수익률 변동 예측을 위한 통합모형)

  • Kim, Eunmi
    • Knowledge Management Research
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    • v.22 no.2
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    • pp.19-32
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    • 2021
  • Bitcoin, a representative cryptocurrency, is receiving a lot of attention around the world, and the price of Bitcoin shows high volatility. High volatility is a risk factor for investors and causes social problems caused by reckless investment. Since the price of Bitcoin responds quickly to changes in the world environment, we propose to predict the price volatility of Bitcoin by utilizing news information that provides a variety of information in real-time. In other words, positive news stimulates investor sentiment and negative news weakens investor sentiment. Therefore, in this study, sentiment information of news and deep learning were applied to predict the change in Bitcoin yield. A single predictive model of logit, artificial neural network, SVM, and LSTM was built, and an integrated model was proposed as a method to improve predictive performance. As a result of comparing the performance of the prediction model built on the historical price information and the prediction model reflecting the sentiment information of the news, it was found that the integrated model based on the sentiment information of the news was the best. This study will be able to prevent reckless investment and provide useful information to investors to make wise investments through a predictive model.

Calculation of Horizontal Shear Strength in Reinforced Concrete Composite Beams (철근콘크리트 합성보의 수평전단강도 산정)

  • Kim, Min-Joong;Lee, Gi-Yeol
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.21 no.12
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    • pp.772-781
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    • 2020
  • A direct shear member resists external forces through the shear transfer of reinforcing bars placed at the concrete interface. The current concrete structural design code uses empirical formulas based on the shear friction analogy, which is applied to the horizontal shear of concrete composite beams. However, in the case of a member with a large amount of reinforcing bars, the shear strength obtained through the empirical formula is lower than the measured value. In this paper, the limit state of newly constructed composite beams on an existing concrete girder is defined using stress field theory, and material constitutive laws are applied to gain horizontal shear strength while considering the tension-stiffening and softening effects of concrete struts. A simplified method of calculating the shear strength is proposed, which was validated by comparing it with the related design code provisions. As a result, it was confirmed that the method generally shows a similar tendency to the experimental results when the shear reinforcing bar yields, unlike the regulations of the design code, where differences in the predicted value of shear strength occur according to the shear reinforcement ratio.

An Analysis of the Influence of Digital Media Device and Communication Utilization Capabilities on Entrepreneurial Intention : Focusing on the Mediating Effect of Risk-Taking and Proactiveness (디지털 미디어 기기 및 커뮤니케이션 활용역량이 창업의도에 미치는 영향에 대한 분석 : 위험감수성 및 진취성의 매개효과를 중심으로)

  • Lee, Sang Gil;Leen, Jae Mahn
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.16 no.1
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    • pp.113-126
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    • 2021
  • After the Corona 19 pandemic in the first half of 2020, the business environment has been changed in a very different way. The convergence in digital device would be the keyword of the future business. Due to the Corona 19 incident, the ability to utilize digital media devices has emerged as an important topic as people are focusing on online. The Corona incident has reminded us of how important digitalization is at all points of contact. This study analyzed the effects of digital media device and communication utilization capabilities on entrepreneurial intention by reflecting the mediating effect of risk-taking and proactiveness. For this study, a survey of 250 ordinary people was conducted and finally 212 valid questionnaires were collected. Statistical techniques were analyzed using Amos23. The analysis of the collected data showed that digital media device utilization and communication utilization did not directly affect entrepreneurship intentions, but it was confirmed that entrepreneurship risk-taking would have an intention to start a business. Through this, it was suggested that the development of start-up programs based on entrepreneurship and digital media utilization capabilities should be strengthened in a smart society centered on information and communication to expand job creation for the digital generation.