• Title/Summary/Keyword: Smart Car

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A Case Study on Foreign Smart City (해외 스마트 시티 사례 연구)

  • Lee, Seong-Hoon
    • Journal of Digital Convergence
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    • v.12 no.4
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    • pp.305-310
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    • 2014
  • We called a current society the convergence generation. In information society, digital convergence means a service or new product which appeared through fusion of unit technologies in information and communication regions. The effects of convergence technologies and social phenomenons are visualized in overall regions of society such as economy, society, culture, etc. In 2011, The Government introduced "IT Convergence Technology Prediction Survey 2025". This report includes 10 ICT industries. In this paper, we described a smart city which was leading case in digital convergence and related with our life.

New Vehicle Verification Scheme for Blind Spot Area Based on Imaging Sensor System

  • Hong, Gwang-Soo;Lee, Jong-Hyeok;Lee, Young-Woon;Kim, Byung-Gyu
    • Journal of Multimedia Information System
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    • v.4 no.1
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    • pp.9-18
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    • 2017
  • Ubiquitous computing is a novel paradigm that is rapidly gaining in the scenario of wireless communications and telecommunications for realizing smart world. As rapid development of sensor technology, smart sensor system becomes more popular in automobile or vehicle. In this study, a new vehicle detection mechanism in real-time for blind spot area is proposed based on imaging sensors. To determine the position of other vehicles on the road is important for operation of driver assistance systems (DASs) to increase driving safety. As the result, blind spot detection of vehicles is addressed using an automobile detection algorithm for blind spots. The proposed vehicle verification utilizes the height and angle of a rear-looking vehicle mounted camera. Candidate vehicle information is extracted using adaptive shadow detection based on brightness values of an image of a vehicle area. The vehicle is verified using a training set with Haar-like features of candidate vehicles. Using these processes, moving vehicles can be detected in blind spots. The detection ratio of true vehicles was 91.1% in blind spots based on various experimental results.

Actual Cases and Analysis of IT Convergence for Green IT (그린 IT를 위한 IT 컨버전스 사례 분석에 관한 연구)

  • Lee, Seong-Hoon
    • Journal of the Korea Convergence Society
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    • v.6 no.6
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    • pp.147-152
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    • 2015
  • Eco-friendly or green is a key word which we use in our life. There are examples such as eco-friendly laundry detergent and agricultural products or green car and home, Due to the indiscriminate development, it was caused severe environmental pollution. Green IT is a necessary technology to solve the energy and environmental problems and to increase the productivity of corporations. Therefore, we studied contents related with green IT. The history for green IT has changed from 'Green of IT' to 'IT for Green'. Studies for 'IT for Green' progress extensively on today. In this paper, we described a transition progress and characteristics of green IT. Lastly, we analyzed smart work in the examples of the top.

Neural Network and Cloud Computing for Predicting ECG Waves from PPG Readings

  • Kosasih, David Ishak;Lee, Byung-Gook;Lim, Hyotaek
    • Journal of Multimedia Information System
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    • v.9 no.1
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    • pp.11-20
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    • 2022
  • In this paper, we have recently created self-driving cars and self-parking systems in human-friendly cars that can provide high safety and high convenience functions by recognizing the internal and external situations of automobiles in real time by incorporating next-generation electronics, information communication, and function control technologies. And with the development of connected cars, the ITS (Intelligent Transportation Systems) market is expected to grow rapidly. Intelligent Transportation System (ITS) is an intelligent transportation system that incorporates technologies such as electronics, information, communication, and control into the transportation system, and aims to implement a next-generation transportation system suitable for the information society. By combining the technologies of connected cars and Internet of Things with software features and operating systems, future cars will serve as a service platform to connect the surrounding infrastructure on their own. This study creates a research methodology based on the Enhanced Security Model in Self-Driving Cars model. As for the types of attacks, Availability Attack, Man in the Middle Attack, Imperial Password Use, and Use Inclusive Access Control attack defense methodology are used. Along with the commercialization of 5G, various service models using advanced technologies such as autonomous vehicles, traffic information sharing systems using IoT, and AI-based mobility services are also appearing, and the growth of smart transportation is accelerating. Therefore, research was conducted to defend against hacking based on vulnerabilities of smart cars based on artificial intelligence blockchain.

Applied cases of advanced construction & engineering technology at Tower Palace III Project (타워팰리스 III 현장의 첨단 시공 및 엔지니어링 기술 적용사례)

  • Wang In-Soo
    • Proceedings of the Korean Institute Of Construction Engineering and Management
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    • autumn
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    • pp.202-213
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    • 2003
  • Tower Palace III project is the highest residential and commercial high-rise complex building in Korea. In order to construct a high-rise building, advanced construction and engineering technology is required. Therefore, with more developed construction and engineering technology based upon accumulated knowledge, construction speed of 13.4 days per floor including finish work was achieved in this project. To achieve this project successfully, three main advanced construction technology were applied: 1) Construction methods for 3-day cycle of structural work and curtain wall, 2) Tact scheduling method for finish work, 3) Management system of material, labor, work, and information. Also, four main engineering technology were applied: 1) New material such as high -flowing concrete and high strength concrete of 800 kgf/cm2, 2) New method such as a pipe-cooling system of a cool water circulating type, 3) Mechanical system such as smart-fan controlling kitchen-ventilation system, 4) Electrical system such as false car system.

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The Reliability Evaluation Method of Embedded Controled Systems Considering the International Standard (국제 표준을 고려한 임베디드 제어 시스템(ECS)의 신뢰성 평가방법)

  • Yang, Hae-Sool
    • Journal of Digital Convergence
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    • v.15 no.2
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    • pp.199-206
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    • 2017
  • Embedded control system is widely spreaded and used in various fields including military defence, aviation, medical, etc. due to extended use of smart phones, connected car, IoT. Increasing examples are introduced where embedded control system that perform their unique role such as smart phone and network system organically configure to create new system. According to this trend, organic interface and reliability of each embedded control system are becoming important evaluation factors. The purpose of this paper is to develop quality evaluation criteria method for automobile embedded system, among the fields that use embedded control systems. In order to satisfy high quality level requirements of automobile embedded control system, we surveyed latest trend of automobile embedded control system, analyzed structure and application technology of embedded control system, to establish quality evaluation criteria and method for automobile embedded control system by referring international standard for software (ISO/IEC 9126), and international standard for electric & electronic products (ISO 26262).

A Comparative Study on Healthcare Autonomous Vehicle Technologies between South Korea and the US Based on Social N etwork Analysis (헬스케어 관련 자율주행 자동차 기술 한미 비교 연구 : 사회연결망 분석을 중심으로)

  • Kim, Ho-Kyung
    • Journal of Korea Technology Innovation Society
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    • v.20 no.4
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    • pp.1036-1056
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    • 2017
  • The rapid increase of ageing population and chronic disease patients cause high medical expenses, and it led an increased attention to digital healthcare. Smart car technologies for healthcare have been developing to recognize drivers' status and predict diverse driving environments. The present study aimed to understand the research trends of autonomous vehicle technologies of Korea and the United States through time series analysis, network analysis, visualization, and comparison between the two countries. The results suggest that cooperative study needs to be done in common research areas such as driver's safety and algorithms. It is also needed to conduct studies and benchmark about liking technique related to part-to-part and vehicle-to-vehicle as America's competitive advantaged area. In the US, diverse approaches of autonomous vehicle technologies have used to consider the characteristics of various age groups and passengers' health status through sensor, while in Korea, only one aspect, older drivers, is mentioned. Implications for the development direction of autonomous vehicle technologies with competitiveness in considering public health, ethics, and driver's safety and convenience are discussed in detail.

Uncertainty Sequence Modeling Approach for Safe and Effective Autonomous Driving (안전하고 효과적인 자율주행을 위한 불확실성 순차 모델링)

  • Yoon, Jae Ung;Lee, Ju Hong
    • Smart Media Journal
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    • v.11 no.9
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    • pp.9-20
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    • 2022
  • Deep reinforcement learning(RL) is an end-to-end data-driven control method that is widely used in the autonomous driving domain. However, conventional RL approaches have difficulties in applying it to autonomous driving tasks due to problems such as inefficiency, instability, and uncertainty. These issues play an important role in the autonomous driving domain. Although recent studies have attempted to solve these problems, they are computationally expensive and rely on special assumptions. In this paper, we propose a new algorithm MCDT that considers inefficiency, instability, and uncertainty by introducing a method called uncertainty sequence modeling to autonomous driving domain. The sequence modeling method, which views reinforcement learning as a decision making generation problem to obtain high rewards, avoids the disadvantages of exiting studies and guarantees efficiency, stability and also considers safety by integrating uncertainty estimation techniques. The proposed method was tested in the OpenAI Gym CarRacing environment, and the experimental results show that the MCDT algorithm provides efficient, stable and safe performance compared to the existing reinforcement learning method.

Design of Secure Scheme based on Bio-information Optimized for Car-sharing Cloud (카 쉐어링 클라우드 환경에서 최적화된 바이오 정보 기반 보안 기법 설계)

  • Lee, Kwang-Hyoung;Park, Sang-Hyeon
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.20 no.11
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    • pp.469-478
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    • 2019
  • Car-sharing services have been settled on as a new type of public transportation owing to their enhanced convenience, expanded awareness of practical consumption patterns, the inspiration for environmental conscientiousness, and the diffusion of smart phones following the economic crisis. With development of the market, many people have started using such services. However, security is still an issue. Damage is expected since IDs and passwords are required for log-in when renting and controlling the vehicles. The protocol suggested in this study uses bio-information, providing an optimized service, and convenient (but strong) authentication with various service-provider clouds registering car big data about users through brokers. If using the techniques suggested here, it is feasible to reduce the exposure of the bio-information, and to receive service from multiple service-provider clouds through one particular broker. In addition, the proposed protocol reduces public key operations and session key storage by 20% on mobile devices, compared to existing car-sharing platforms, and because it provides convenient, but strong, authentication (and therefore constitutes a secure channel), it is possible to proceed with secure communications. It is anticipated that the techniques suggested in this study will enhance secure communications and user convenience in the future car-sharing-service cloud environment.

A Study on the Implementation of the On-Board Diagnostic Function on the Smart Phone and the Compatibility Test for Short-Range Wireless Communications (스마트폰 연동 차량의 온보드 고장진단 기능 구현과 근거리 무선통신 호환성 시험에 관한 연구)

  • Koo, Je-Gil;Yang, Seong-Ryul;Song, Jong-Wook;Lee, Choong-Hyuk;Yang, Jae-Soo
    • KIPS Transactions on Computer and Communication Systems
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    • v.5 no.9
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    • pp.285-292
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    • 2016
  • By adding short-range wireless communication function such as Bluetooth and Wi-Fi to the last vehicle in conjunction with a smart phone, a modern automobile is becoming entertainment screen to determine a variety of information such as car location information, diagnosis information, etc. through the ECU vehicle electronic control unit. In this study, by utilizing short-range communications capability of the on-board diagnostic devices and smart phones in association with the on-board diagnostics, compatibility tests among a number of smart phone models, Bluetooth and NFC(Near Field Communication) were carried out and those results were analyzed. Furthermore, composition of on-board diagnostic device having Bluetooth and NFC interface function and the fault diagnosis function were implemented, and fault diagnosis debugging program was developed. In addition, fault diagnosis data of the vehicle via the OBD-II interface was extracted. Finally, the on-board diagnostics CAN Protocol implementation has been proposed, and the results of work was analyzed.