• Title/Summary/Keyword: Smart cabin

Search Result 15, Processing Time 0.022 seconds

Estimation of Willingness to Pay for Smart Home Service by Contingent Valuation Method (조건부가치측정법을 이용한 스마트 홈 서비스의 지불의사액 추정)

  • Kim, Yonghee;Lim, Sung Eun;Choi, Jeongil
    • Journal of Korean Society for Quality Management
    • /
    • v.44 no.4
    • /
    • pp.833-843
    • /
    • 2016
  • Purpose: The purpose of this study is to evaluate the value of smart home service using contingent valuation method that is the method evaluating the value of service which will be provided in the future. Using this method, this study suggests proper price and market value of smart home service through figuring out customer's willingness to pay. Methods: To estimate willingness to pay for smart home service, this study uses double bounded dichotomous choice question. The survey was conducted for 2 months from December in 2015 to February in 2016. A total of 269 copies were used to estimate through R-programming. Results: The results of this study are as follows; Gender(especially woman), income, proposed price are the factors which affecting willingness to pay. As the result of this study, average price of willingness to pay for smart home service estimates as \29,653. Comparing with high-speed internet bundling service fee, this estimated price for smart home service is appropriate level for customers to accept. Conclusion: This study estimates consumer's willingness to pay for smart home service which is in the market entry stage. In corporate side, this study might be meaningful for estimating investment scale and profit. Also it could provide basis for establishing strategic policy to develop smart home service market in government side.

A Study on Current Status and Prospects of Global Food-tech Industry (세계 푸드테크 산업의 동향과 전망)

  • Jang, Woo-Jung
    • Journal of the Korea Convergence Society
    • /
    • v.11 no.4
    • /
    • pp.247-254
    • /
    • 2020
  • The socio-cultural and economic changes following the Fourth Revolution are driving the growth of the food tech industry. Korea's food tech industry is still focused on delivery apps and the smart farms, robot market including artificial intelligence are in its infancy. In the United States, alternative meat companies are already included in unicorn companies, while Korea, the fourth largest importer of beef, lacks alternative meat development. France, Europe's largest agricultural country, is focusing on Agtech. China has developed the Internet and online e-commerce market with the world's number one population. Korea also needs to change regulations that focus on the past industry and various food tech industries should be developed through political and business-driven research and investment.

Study on the Key Technologies for Performance and Operation of the High-Speed EMU (동력분산형 고속철도 차량성능 및 운용 기반기술 연구)

  • Song, Dahl-H.;Min, Kyung-H.
    • Proceedings of the KSR Conference
    • /
    • 2008.06a
    • /
    • pp.1227-1232
    • /
    • 2008
  • High-speed train of push-pull type called as G7 train has been developed and chosen as the model of KTX-II which will be operated on Honam Line nexr year. However, the EMU-type high-speed train appeared to be the recent trend that foreign markets have shown. Also, in the near future, a great number of new train sets are needed to accommodate the increased passengers in our country. Thus, development of the high-speed EMU was decided, planned, and started. In the development, included were almost all fundamental key technologies such as noise and vibration reduction in a passenger cabin, running characteristics, aerodynamic analysis, crashworthiness evaluation, EMI/EMC analysis, design of the cooling system for the propulsion control system, enhanced performance of transformer and switching converters, synchronous traction motor with permanent magnets, new design of front nose and ergonomic interiors, application of advanced information technology(IT) and smart sensors and the cost reduction of construction of railway bridges, etc. Each key technologies are carried out as sub-project independently but under the supervision of a project. The project will develop the high advanced level of technologies and provide necessary know-why's and support the team in charge of the development of the high-speed EMU, Hyundai Rotem Co. Ltd. The high-speed EMU will be successfully developed with the support of the project.

  • PDF

Online condition assessment of high-speed trains based on Bayesian forecasting approach and time series analysis

  • Zhang, Lin-Hao;Wang, You-Wu;Ni, Yi-Qing;Lai, Siu-Kai
    • Smart Structures and Systems
    • /
    • v.21 no.5
    • /
    • pp.705-713
    • /
    • 2018
  • High-speed rail (HSR) has been in operation and development in many countries worldwide. The explosive growth of HSR has posed great challenges for operation safety and ride comfort. Among various technological demands on high-speed trains, vibration is an inevitable problem caused by rail/wheel imperfections, vehicle dynamics, and aerodynamic instability. Ride comfort is a key factor in evaluating the operational performance of high-speed trains. In this study, online monitoring data have been acquired from an in-service high-speed train for condition assessment. The measured dynamic response signals at the floor level of a train cabin are processed by the Sperling operator, in which the ride comfort index sequence is used to identify the train's operation condition. In addition, a novel technique that incorporates salient features of Bayesian inference and time series analysis is proposed for outlier detection and change detection. The Bayesian forecasting approach enables the prediction of conditional probabilities. By integrating the Bayesian forecasting approach with time series analysis, one-step forecasting probability density functions (PDFs) can be obtained before proceeding to the next observation. The change detection is conducted by comparing the current model and the alternative model (whose mean value is shifted by a prescribed offset) to determine which one can well fit the actual observation. When the comparison results indicate that the alternative model performs better, then a potential change is detected. If the current observation is a potential outlier or change, Bayes factor and cumulative Bayes factor are derived for further identification. A significant change, if identified, implies that there is a great alteration in the train operation performance due to defects. In this study, two illustrative cases are provided to demonstrate the performance of the proposed method for condition assessment of high-speed trains.

Hazard Identification and Risk Assessment for the Use of Passenger Portable Electronic Devices (승객 휴대 전자기기 사용에 대한 위해요인 식별 및 리스크 평가)

  • Lim, In-Kyu;Kim, Mu-Geun;Kang, Ja-Young
    • Journal of Advanced Navigation Technology
    • /
    • v.22 no.4
    • /
    • pp.288-294
    • /
    • 2018
  • The entertainment system of the aircraft has changed its paradigm in the form of using passenger electronic devices instead of using a fixed monitor. This has simplified the on-board equipment while the risk of safety has increased with the electric charging of portable electronic devices. Unlike personal portable electronic devices that do not have a transmission function, the use of Wi-Fi enabled electronic devices(T-PED) is allowed and the battery is required to be charged in the cabin. In this study, we used the NASA Aviation Safety Reporting System to investigate the effects of changes in wireless environment and entertainment service. Based on this, we analyzed the risks of personal electronic devices by sharing event occurrence cases caused by in-flight electronic equipment or passenger portable electronic devices(especially smart phones) from the viewpoint of aircraft safety management. This analysis includes identification of potential hazards and risk assessment, and finally the strategies for risk mitigation for safe use of portable electronic devices are suggested.