• Title/Summary/Keyword: Human driving data

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A Study on Evaluation Method of the HDA Test in Domestic Road Environment (국내도로 환경에서의 HDA 시험평가 방법에 관한 연구)

  • Bae, Geon Hwan;Kim, Bong Ju;Lee, Seon Bong
    • Journal of Auto-vehicle Safety Association
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    • v.11 no.4
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    • pp.39-49
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    • 2019
  • Autonomous vehicle is a car which drives itself without any human interaction. SAE provides technical definitions for autonomous and international standards for test evaluation. Accordingly, automobile industry is actively researching development and evaluation of various ADAS (Advanced Driver Assistance Systems), : representative technology of autonomous technology. Recently, ADAS is in the commercialization level such as ACC, LKAS, AEB, and HDA etc. And it also has issues about safety evaluation. The purpose of HDA in ADAS is reduced the driving load on highway. It has a function which can maintain lane keeping and control distance from forward vehicle. This function is evaluated to be useful for accident prevention. Therefore, this paper proposes the safety evaluation scenario of HDA, considering the domestic highway design criteria and the situation that may arise on the actual highway. We compared and analyzed the data acquired through simulation and actual vehicle test. And verified the reliability of the proposed safety evaluation scenario. The verified result is expected safety evaluation of HDA is possible even under the bad condition, which cannot be tested.

The Comparative Study of The View about the Craftsmanship of Korean and Japanese (한국과 일본의 장인(匠人)정신 비교 연구)

  • Jeong, Su Hyun
    • Cross-Cultural Studies
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    • v.35
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    • pp.215-235
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    • 2014
  • The purpose of this paper look at the basis of the cultural differences of Korean and Japan by comparing the craftsmanship. Korean craftsmanship and master craftsman making traditional handcrafts and artwork would die out at a critical moment. The craftsmanship and system could not be established because of discrimination in the traditional four classes of society( scholars, farmers, artisans and tradesmen), invasions of other countries and discontinuity of tradition from modernization. On the contrast, in Japan, it was possible to establish traditional handcrafts and artworks, technique and craftsmanship with apprentice system and various social privilege and treatment even in the same traditional four classes of society ( scholars, farmers, artisans and tradesmen). It was common to pass down the family business for a hundreds of years with self respect between Japanese master craftsmen and lots of people succeed the family business will now. Japanese craftsmanship is originated from 'worship to god' Medieval Japanese believed that the thing changes human mind, artistic talent, masterpieces and faith were connected to sacred power. Therefore, master craftsmen and their works were also made by the power of god. In this context, craftsmen were protected and treated in socially and nationally. It is that the social treatments and supports in national level and their own pride and continuous training of techniques and abilities as the main driving force to maintain the craftsmanship in Japan. Korea has the sale level of competitive tradition and technique in comparison any other countries. Japanese craftsmanship study will be a critical data in the protection and maintenance of Korean traditional and technique.

The Issue-network: A Study of New User Research Method in the Context of a Car Navigation Design (이슈 네트워크를 활용한 사용자 조사 방법론: 자동차 내비게이션 디자인을 중심으로)

  • Kim, Dongwhan;Lee, Dongmin;Ha, Seyong;Lee, Joonhwan
    • Journal of Korea Multimedia Society
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    • v.22 no.4
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    • pp.502-514
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    • 2019
  • Existing user research methods are subject to a variety of research conditions such as the amount and variety of data collected and the expertise of the facilitator of a group research session. In this study, we propose a new user research methodology using an 'Issue-Network' system, which is developed based on the theory and methods of social network analysis. The Issue-Network is designed to define problem spaces from the issues raised by users in a group research session in a form of an interactive network graph. The system helps to break out of ordinary perspectives of looking into problem spaces by enabling an alternative and more creative way to connect issues in the network. In this study, we took a case study of generating the Issue-Network on behalf of the problems raised by users in various driving-related situations. We were able to draw three navigation usage scenarios that cover relatively important problem spaces: safety and being ready for the unexpected, smart navigation and notifications, making use of the spare time. In the future, the Issue-Network system is expected to be used as a tool to identify problems and derive solutions in group research sessions involving a large number of users.

An Enhanced Neural Network Approach for Numeral Recognition

  • Venugopal, Anita;Ali, Ashraf
    • International Journal of Computer Science & Network Security
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    • v.22 no.3
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    • pp.61-66
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    • 2022
  • Object classification is one of the main fields in neural networks and has attracted the interest of many researchers. Although there have been vast advancements in this area, still there are many challenges that are faced even in the current era due to its inefficiency in handling large data, linguistic and dimensional complexities. Powerful hardware and software approaches in Neural Networks such as Deep Neural Networks present efficient mechanisms and contribute a lot to the field of object recognition as well as to handle time series classification. Due to the high rate of accuracy in terms of prediction rate, a neural network is often preferred in applications that require identification, segmentation, and detection based on features. Neural networks self-learning ability has revolutionized computing power and has its application in numerous fields such as powering unmanned self-driving vehicles, speech recognition, etc. In this paper, the experiment is conducted to implement a neural approach to identify numbers in different formats without human intervention. Measures are taken to improve the efficiency of the machines to classify and identify numbers. Experimental results show the importance of having training sets to achieve better recognition accuracy.

Development of supporting platform for the fine flow characteristics of reactor core

  • Hao Qian;Guangliang Chen;Lei Li;Lixuan Zhang;Xinli Yin;Hanqi Zhang;Shaomin Su
    • Nuclear Engineering and Technology
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    • v.56 no.5
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    • pp.1687-1697
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    • 2024
  • This study presents the Supporting platform for reactor fine flow characteristics calculation and analysis (Cilian platform), a user-friendly tool that supports the analysis and optimization of pressurized water reactor (PWR) cores with mixing vanes using computational fluid dynamics (CFD) computing. The Cilian platform allows for easy creation and optimization of PWR's main CFD calculation schemes and autonomously manages CFD calculation and analysis of PWR cores, reducing the need for human and computational resources. The platform's key features enable efficient simulation, rapid solution design, automatic calculation of core scheme options, and streamlined data extraction and processing techniques. The Cilian platform's capability to call external CFD software reduces the development time and cost while improving the accuracy and reliability of the results. In conclusion, the Cilian platform exemplifies an innovative solution for efficient computational fluid dynamics analysis of pressurized water reactor (PWR) cores. It holds great promise for driving advancements in nuclear power technology, enhancing the safety, efficiency, and cost-effectiveness of nuclear reactors. The platform adopts a modular design methodology, enabling the swift and accurate computation and analysis of diverse flow regions within core components. This design approach facilitates the seamless integration of multiple computational modules across various reactor types, providing a high degree of flexibility and reusability.

Method for Designing VMS Messages Based on Drivers' Legibility Performance (운전자 판독능력을 고려한 VMS 메시지 설계 방법론 개발 및 적용)

  • Kim, Seong-Min;O, Cheol;Jang, Myeong-Sun;Kim, Tae-Hyeong
    • Journal of Korean Society of Transportation
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    • v.25 no.3
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    • pp.99-109
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    • 2007
  • Variable message signs (VMS), which are used for providing real-time information on traffic conditions and accident occurrences, are one of the important components of intelligent transportation systems VMS messages need to meet human factor requirements: messages should be readable and understandable while driving. Lab-controlled experiments on VMS messages were conducted to obtain useful data for analyzing drivers' responsive characteristics for VMS messages. Binary logistic regression (BLR) modeling techniques were applied to explore the relationships among drivers' message perceptions, message reading time, and amount of VMS messages. Probabilistic outcomes of the proposed BLR-based perception model could be greatly utilized to design VMS messages considering drivers' legibility performance. The major contribution of this study is to develop invaluable statistical models that can be used in designing VMS messages more effectively from the human factor point of view. The results could be further applied to establish the scheme of VMS message phase and duration.

A Study on the Organizational Development for Intelligent Technology Acceptance in ESG Management (ESG 경영을 위한 지능형 기술을 수용하는 조직개발 연구)

  • Jung Byoungho;Joo Hyungkun
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.19 no.1
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    • pp.77-89
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    • 2023
  • The purpose of this study is to empirically confirm what is an important variable of organizational change by intelligent technology acceptance and whether is a difference in important variables in the organization level of acceptance of intelligent technology. Recently, business models using intelligent technologies such as chat-bots, self-driving cars, credit-prevention fraud, face recognition, and health-care are emerging. External situation factors such as artificial intelligence, big data, COVID-19, and the ESG management are changing the direction of a company's management strategy. This research method established a structural equation model. As a result of the analysis, we found that the leadership, organizational culture, and organizational cooperation variables had a positive effect on human resource development variables. Human resource development found a positive effect on the performance of intelligent technology. In addition, we found the independent variables of leadership, organizational culture, and organizational cooperation had partial mediating effects on the performance of intelligent technology. Each group of levels of intelligent technology found performance differences. The organizational culture variables appeared as important variables in all groups. On the other hand, the leadership variable appeared as an important variable in the middle and lower groups of intelligent technology. The theoretical background of this study is that the business theory was updated through artificial intelligence and intelligent technology theory. As a practical implication, the organization adopting intelligent technology is necessary to prepare a systematic plan for organizational culture change.

Automation of Dobson Spectrophotometer(No.124) for Ozone Measurements (돕슨 분광광도계(No.124)의 오존 자동관측시스템화)

  • Kim, Jhoon;Park, Sang-Seo;Moon, Kyung-Jung;Koo, Ja-Ho;Lee, Yun-Gon;Miyagawa, Koji;Cho, Hi-Ku
    • Atmosphere
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    • v.17 no.4
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    • pp.339-348
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    • 2007
  • Global Environment Laboratory at Yonsei University in Seoul ($37.57^{\circ}N$, $126.95^{\circ}E$) has carried out the ozone layer monitoring program in the framework of the Global Ozone Observing System of the World Meteorlogical Organization (WMO/GAW/GO3OS Station No. 252) since May of 1984. The daily measurements of total ozone and the vertical distribution of ozone amount have been made with the Dobson Spectrophotometer (No.124) on the roof of the Science Building on Yonsei campus. From 2004 through 2006, major parts of the manual operations are automated in measuring total ozone amount and vertical ozone profile through Umkehr method, and calibrating instrument by standard lamp tests with new hardware and software including step motor, rotary encoder, controller, and visual display. This system takes full advantage of Windows interface and information technology to realize adaptability to the latest Windows PC and flexible data processing system. This automatic system also utilizes card slot of desktop personal computer to control various types of boards in the driving unit for operating Dobson spectrophotometer and testing devices. Thus, by automating most of the manual work both in instrument operation and in data processing, subjective human errors and individual differences are eliminated. It is therefore found that the ozone data quality has been distinctly upgraded after automation of the Dobson instrument.

Developing of Functional Sport Underpants using Infrared Thermal Image Analysis (열적외선 영상분석을 이용한 기능성 스포츠 팬티 개발)

  • Lee, Joong-Sook;Yang, Jeong-Ok;Lee, Bom-Jin
    • Korean Journal of Applied Biomechanics
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    • v.25 no.2
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    • pp.231-240
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    • 2015
  • Objective : This study is for providing data about men's functional sport underpants. It provides the fundamental data of biomechanics by measuring and analyzing the functionality of various underpants using infrared thermal image camera. Method : Then author drew a conclusion based on the final analysis of 965 questionnaire survey results about issues on men's functional sport underpants after discarding invalid questionnaires, as following. Change in body temperature while wearing functional underpants compared to general briefs or boxer pants showed lower temperature by approximately 1~2 degrees Celsius. In the case of general underpants, wearer sweats and feels hotter due to the friction of penis, scrotum and thigh. However functional sport functional underpants improved this issue with ergonomic 3D design by putting penis towards the lower part of the abdomen(below the navel) while putting the scrotum comfortably on the testicles, which enables to make room between the penis, scrotum and thigh of a wearer. Results : This was analyzed to lower the temperature of penis and scrotum. The survey results about the quality of functional underpants showed that 78% of the respondents felt comfortable while driving; 68.5% replied that frictional heat decreased while working out; 78.7% felt less sweat and humidity; 81.7% replied as highly wearable and comfortable; 77.1% replied functional sport underpants were the most comfortable in routine lives or in workout times. Putting all such results together, it is possible to conclude that functional sport is an excellent product. Conclusion : This can be evaluated as an excellent functional sport underpants, towards the penis abdomen (under the navel) in 3D human engineering design, by the scrotum to wearing to be easier to scrotum of pocket, the penis and scrotum and thighs were separated and analyzed with a function that will lower the body temperature of the penis and scrotum.

The Role and Effect of Artificial Intelligence (AI) on the Platform Service Innovation: The Case Study of Kakao in Korea (플랫폼 서비스 혁신에 있어 인공지능(AI)의 역할과 효과에 관한 연구: 카카오 그룹의 인공지능 활용 사례 연구)

  • Lee, Kyoung-Joo;Kim, Eun-Young
    • Knowledge Management Research
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    • v.21 no.1
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    • pp.175-195
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    • 2020
  • The development of platform service based on the information and communication technology has revolutionized patterns of commercial transactions, driving the growth of global economy. Furthermore, the radical advancement of artificial intelligence(AI) presents the huge potential to innovate almost all the industrial and economic activities. Given these technological developments, the goal of this paper is to investigate AI's impact on the platform service innovation as well as its influence on the business performance. For the goal, this paper presents the review of the types of service innovation, the nature of platform services, and technological characteristics of leading AI technologies, such as chatbot and recommendation system. As an empirical study, this paper performs a multiple case study of Kakao Group which is the leading mobile platform service with the most advanced AI in Korea. To understand the role and effect of AI on Kakao platform service, this study investigated three cases, including chatbot agent of Kakao Bank, Smart Call service of Kakao Taxi, and music recommendation system of Kakao Mellon. The analysis results of the case study show that AI initiated innovations in platform service concepts, service delivery, and customer interface, all of which lead to a significant decrease in the transaction costs and the personalization of services. Finally, for the successful development of AI, this research emphasizes the significance of the accumulation of customer and operational data, the AI human capital, and the design of R&D organization.