• 융합경영연구
• /
• 제11권6호
• /
• pp.43-55
• /
• 2023

Purpose: The purpose of this study was to identify the relationship between smart factory utilization and continued use intention between UTAUT, dynamic capabilities of smart factory construction companies and present the company's strategic direction. Research design, data, and methodology: In this study, a structured research model was derived to confirm the relationship between UTAUT, dynamic capabilities, smart factory utilization and continued use intention and the difference according to Technology perception. For analysis a total of 223 valid questionnaires from e-commerce users were used. Confirmatory factor analysis, correlation analysis, and structural equations were conducted to verify. Results: Both UTAUT, dynamic capabilities had a significant effect on smart factory utilization as well as continued use intention. It was found that the relationship between UTAUT, dynamic capabilities, smart factory utilization, and continued use intention. differed depending on the technology perception. Conclusions: Organizational members utilize the smart factory in anticipation of effects such as work performance and various improvements. Smart factory data will be used continuously when it is useful for business processes and operations. It is necessary to establish strategies and provide training to improve the technical level and capabilities of organizational members. Through this, a strategy is needed that can be continuously used by utilizing the information obtained through smart factory to improve work efficiency, productivity and efficiency increase is needed

• 디지털융복합연구
• /
• 제16권11호
• /
• pp.237-253
• /
• 2018

급변하는 환경 속에서 기업은 동적역량이 중요한 요소로 등장하고 빅 데이터의 활용은 비즈니스의 새로운 핵심가치로 부각되고 있으나 기업이 빅 데이터를 활용함에 있어 성과를 창출할 수 있는 기업의 주요자원 및 역량에 대한 연구는 미미한 실정이다. 본 연구에서는 빅 데이터 활용의도에 영향을 주는 중소기업의 동적역량과 기업가지향성에 대해 분석하였다. 실증분석을 위해 국내 연구개발을 수반하는 중소기업 364개를 대상으로 설문조사를 실시하여 동적역량이 기업가지향성을 경유하여 빅 데이터 활용의도에 미치는 영향에 대해 SPSS Win Ver.22.0와 PROCESS macro v3.0을 이용하여 병렬다중 매개분석을 수행하였다. 가설검증결과 동적역량은 빅 데이터 활용의도에 정의 영향을 미쳤으며, 기업가지향성은 부분적으로 빅 데이터 활용의도에 정의 영향을 미치는 것으로 나타났다. 본 연구를 통해 인공지능과도 연계된 빅 데이터의 활용의 결정요인으로 중소기업의 핵심자원인 동적역량과 기업가지향성에 영향력과 이해도를 높이고 중소기업 경영관리에 도움을 주고자 한다.

• 정보처리학회논문지C
• /
• 제9C권6호
• /
• pp.841-846
• /
• 2002

이 논문에서는 네트워크의 QoS에 가장 큰 영향을 미치는 네트워크 선로 이용률의과거 데이터를 기반으로 단기간 예측과 계절성(seasonality) 예측에 적합한 계절자기회귀이동평균(SARIMA : seasonal ARIMA) 모형을 적용하여 네트워크 특성을 고려한 동적인 임계값을 학습하는 알고리즘을 제시하였다. 이 기법을 통해 선로 이용률의 임계값은 네트워크환경과 시간에 따라 동적으로 변경되며, 확률을 근거로 그 신뢰성을 제공할 수 있다. 또한,실제 환경을 통하여 제시한 모델의 적합성 여부를 평가하였으며, 알고리즘의 성능을 실험하였다. 네트워크 관리자들은 이 알고리즘을 통하여 고정 임계값이 가지는 단점을 극복할 수있을 것이며, 관리 행위의 효율성을 높일 수 있을 것이다.

• Geomechanics and Engineering
• /
• 제17권4호
• /
• pp.393-403
• /
• 2019

The cycling impact test of red sandstone soil under different axial pressure and different impact loads are conducted to reveal the mechanical properties and energy consumption mechanism of red sandstone soil with static-dynamic coupling loading. The results show that: Under the action of different axial pressure and different impact loads, the peak stress of the specimen increases, and then tends to be stable with the times of impact. With the increase of impact times, the specific energy absorption value of the red sandstone soil specimen is increased first and then gentle development trend. When the impact loads are certain, the larger the axial pressure is, the smaller the peak value of energy absorption, which indicates that the energy utilization rate is not high under the condition of large axial pressure. Through the analysis of energy utilization, it is found that the smaller the impact load, the higher the energy utilization rate. The greater the axial pressure, the lower the energy utilization rate. when the axial pressure is large, the impact loads corresponding to the maximum values of reflectivity, transmissivity and absorptivity are the same. The relationship between reflectivity and transmissivity is negatively correlated.

• 대한전기학회논문지:전력기술부문A
• /
• 제55권10호
• /
• pp.426-432
• /
• 2006

This paper describes the concepts of Static Line Rating (SLR) and Dynamic Line Rating (DLR) and the computational methods to demonstrate them. Calculation of the line capacity needs the heat balance equation which is also used for computing the reduced tension in terms of line aging. SLR is calculated with the data from the worst condition of weather throughout the year. Even now, the utilization ratio is obtained from this SLR data in Korea. DLR is the improved method compared to SLR. A process for DLR reveals not only improved line ratings but also more accurate allowed line ratings based on line aging and real time conditions of weather. In order to reflect overhead transmission line aging in DLR, this paper proposes the method that considers the amount of decreased tension since the lines have been installed. Therefore, the continuous allowed temperature for remaining life time is newly acquired. In order to forecast DLR, this paper uses weather forecast models, and applies the concept of Thermal Overload Risk Probability (TORP). Then, the new concept of Dynamic Utilization Ratio (DUR) is defined, replacing Static Utilization Ratio (SUR). For the case study, the two main transmission lines which are responsible for the north bound power flow in the Seoul metropolitan area are chosen for computing line rating and utilization ratio. And then line rating and utilization ratio are analyzed for each transmission line, so that comparison of the present and estimated utilization ratios becomes available. Finally, this paper proves the validity of predictive DUR as the objective index, with simulations of emergency state caused by system outages, overload and so on.

• 한국수소및신에너지학회논문집
• /
• 제28권1호
• /
• pp.47-55
• /
• 2017

This paper deals with the after-tax economic feasibility analysis of the hydrogen fueling station considering dynamic utilization. We selected an off-site hydrogen station in which the hydrogen is supplied by a central by-product hydrogen plant as a case study. Also, we made some sensitivity analysis by changing input factors such as the discount rate, the hydrogen station construction cost, the hydrogen demand and the hydrogen sale price. As a result, the hydrogen station will not be economical in 2020 due to the relatively high price of the hydrogen station construction cost and the low price of hydrogen sale price. In order to realize the economic feasibility of the hydrogen station in the early stage of the hydrogen economy, the subsidies on the annual operating cost as well as the construction cost are needed.

• 한국해양공학회지
• /
• 제5권2호
• /
• pp.16-30
• /
• 1991

A numerical procedure is described for predicting the dynamic responses of combined systems of floating breakwaters and huge offshore structures supported by a large numer of the floating bodies in waves. The hydrodynamic interactins among tatal floating bodies are taken into account in their exact form within the context of linear potential theory. Wave control effects are discussed with both hydrodynamic interactions and hydrodynamic-structure interaction effects. The method presented is applicalbe to combined systems of floating breakwaters and huge structures for ocean space utilization for which a number of practical uses are seen in the future.

• 한국해양공학회지
• /
• 제5권2호
• /
• pp.156-156
• /
• 1991

A numerical procedure is described for predicting the dynamic responses of combined systems of floating breakwaters and huge offshore structures supported by a large numer of the floating bodies in waves. The hydrodynamic interactins among tatal floating bodies are taken into account in their exact form within the context of linear potential theory. Wave control effects are discussed with both hydrodynamic interactions and hydrodynamic-structure interaction effects. The method presented is applicalbe to combined systems of floating breakwaters and huge structures for ocean space utilization for which a number of practical uses are seen in the future.

• 대한전기학회:학술대회논문집
• /
• 대한전기학회 2001년도 하계학술대회 논문집 D
• /
• pp.2369-2373
• /
• 2001

Usually the static scheduling algorithms such as DMS (Deadline Monotonic Scheduling) or RMS(Rate Monotonic Scheduling) are used for CAN scheduling due to its ease with implementation. However, due to their inherently low utilization of network media, some dynamic scheduling approaches have been studied to enhance the utilization. In case of dynamic scheduling algorithms, two considerations are needed. The one is a priority inversion due to rough deadline encoding into stricted arbitration fields of CAN. The other is an arbitration delay due to the non-preemptive feature of CAN. In this paper, an extended algorithm is proposed from an existing EDS(Earliest Deadline Scheduling) approach of CAN scheduling algorithm haying a solution to the priority inversion. In the proposed algorithm, the available bandwidth of network media can be checked dynamically by all nodes. Through the algorithm, arbitration delay causing the miss of their deadline can be avoided in advance. Also non real-time messages can be processed with their bandwidth allocation. The proposed algorithm can achieve full network utilization and enhance aperiodic responsiveness, still guaranteeing the transmission of periodic messages.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제8권3호
• /
• pp.749-761
• /
• 2014

Improving spectrum utilization efficiency is a fundamental goal of dynamic spectrum access technology. The definition of spectrum holes determines how to detect and exploit them. Current definitions of spectrum holes are ineffective in exploiting spatial-temporal spectrum holes. In this paper, a novel definition of spectrum holes is proposed, in which throughput loss indicates the impact of secondary users on primary users. The definition specifies spectrum holes, unifies the impact of secondary users on primary users and is effective exploiting spatial-temporal spectrum holes. Theoretical analysis and numerical simulations show that the new definition proposed in this paper significantly improves the spectrum utilization efficiency.