• Title/Summary/Keyword: car identification

Search Result 100, Processing Time 0.022 seconds

Development of UHF Band Tag Antenna using Radio Frequency Identification Multipurpose Complex Card (RFID 다기능 복합 카드용 UHF 대역 소형 태그 안테나 개발)

  • Byun, Jong-Hun;Sung, Bong-Geun;Choi, Eun-Jung;Ju, Dae-Geun;Yoo, Dae-Won;Cho, Byung-Lok
    • The Journal of Korean Institute of Communications and Information Sciences
    • /
    • v.34 no.12B
    • /
    • pp.1452-1458
    • /
    • 2009
  • In this paper, Our proposed Multipurpose Complex Card UHF band RFID small-size Tag antenna. Multi purpose Complex Card UHF band RFID small-size Tag antenna that is to minimize the low efficiency of RFID Tag Read Range that generates space limitation and a conductor surrounded by inducing fingerpring system with dual(HF, UHF) Card is presented. Our proposed UHF band RFID small-size Tag antenna is for the Multipurpose Complex Card that is mounted on the fingerpring system as well as the HF Tag. It also enables to minimize and facilitates Tag chip matching by adjusting Tapered, Meander line and Loop structure. Given the card substance properties and periphery circuit, the proposed small-size Tag antenna, in this report, is designed with PET film with size of $50{\times}15mm^2$. The RFID small-size Tag method for measurements is used by EPCglobal Static Test instrument in Anechoic Chamber, which is tested with dual Card, within the car and in wallet. It is found that Read Range is 3.8m from the EPCglobal Static Test, Maximum Read Range within the car from the field test results in 7.6m. Proposed Tag antenna is will be used in the parking control security system.

Detection and Identification of Moving Objects at Busy Traffic Road based on YOLO v4 (YOLO v4 기반 혼잡도로에서의 움직이는 물체 검출 및 식별)

  • Li, Qiutan;Ding, Xilong;Wang, Xufei;Chen, Le;Son, Jinku;Song, Jeong-Young
    • The Journal of the Institute of Internet, Broadcasting and Communication
    • /
    • v.21 no.1
    • /
    • pp.141-148
    • /
    • 2021
  • In some intersections or busy traffic roads, there are more pedestrians in a specific period of time, and there are many traffic accidents caused by road congestion. Especially at the intersection where there are schools nearby, it is particularly important to protect the traffic safety of students in busy hours. In the past, when designing traffic lights, the safety of pedestrians was seldom taken into account, and the identification of motor vehicles and traffic optimization were mostly studied. How to keep the road smooth as far as possible under the premise of ensuring the safety of pedestrians, especially students, will be the key research direction of this paper. This paper will focus on person, motorcycle, bicycle, car and bus recognition research. Through investigation and comparison, this paper proposes to use YOLO v4 network to identify the location and quantity of objects. YOLO v4 has the characteristics of strong ability of small target recognition, high precision and fast processing speed, and sets the data acquisition object to train and test the image set. Using the statistics of the accuracy rate, error rate and omission rate of the target in the video, the network trained in this paper can accurately and effectively identify persons, motorcycles, bicycles, cars and buses in the moving images.

A implementation of system which checks the vehicle oil identification and quantitative gas (자동차 석유 및 정량주유 체크 시스템의 구현)

  • Jeong, Da-Woon;Baek, Sung-Hyun;Jang, Jong-Wook
    • Journal of the Korea Institute of Information and Communication Engineering
    • /
    • v.15 no.6
    • /
    • pp.1277-1282
    • /
    • 2011
  • Recently, many car drivers were damaged by gas station which support similar oil product and not quantitative gas. It were expected to increase above-mentioned damages. By using similar oil products, caused damage are working of lubrication in the fuel line, elf-cleaning function, the part of the early deterioration, impure accumulation in the fuel line, toxicity material in exhaust emissions and unidentified chemical reaction. To prevent these damages, proposed system use in-vehicle state data with OBD-II protocol, measure quantitative gas and similar oil. In this paper, there have implemented similar oil identification and quantitative gas system through OBD-II scanner to provide WiFi communcation by using WinCe development Board.

The Switching Technique to the Alternative Frequency on RDS Broadcastment (RDS 방송에서 대체주파수로의 전환기법에 관한 연구)

  • Hwang, Jong-Hyun;Kim, Young-Kil
    • Journal of the Korea Institute of Information and Communication Engineering
    • /
    • v.14 no.11
    • /
    • pp.2379-2384
    • /
    • 2010
  • The reception quality of broadcasting in car radio system may become poor due to the noise such as week signal strength, multipath, Adjacent Channel and so on. To improve this, some european nations and US. serve RDS(Radio Data System) on FM radio, AF(Alternative Frequency) and PI(Programme Identification) code contained information in RDS data are used to switch to the broadcasting having the best reception quality. There are many techniques and studies of maintaining the best reception quality. But many previous techniques are no longer the best way because RF chips are improved every year and noise components can be distinguished in detail. So this research will suggest the best switching technique to maintain the best reception quality.

Pavement condition assessment through jointly estimated road roughness and vehicle parameters

  • Shereena, O.A.;Rao, B.N.
    • Structural Monitoring and Maintenance
    • /
    • v.6 no.4
    • /
    • pp.317-346
    • /
    • 2019
  • Performance assessment of pavements proves useful, in terms of handling the ride quality, controlling the travel time of vehicles and adequate maintenance of pavements. Roughness profiles provide a good measure of the deteriorating condition of the pavement. For the accurate estimates of pavement roughness from dynamic vehicle responses, vehicle parameters should be known accurately. Information on vehicle parameters is uncertain, due to the wear and tear over time. Hence, condition monitoring of pavement requires the identification of pavement roughness along with vehicle parameters. The present study proposes a scheme which estimates the roughness profile of the pavement with the use of accurate estimates of vehicle parameters computed in parallel. Pavement model used in this study is a two-layer Euler-Bernoulli beam resting on a nonlinear Pasternak foundation. The asphalt topping of the pavement in the top layer is modeled as viscoelastic, and the base course bottom layer is modeled as elastic. The viscoelastic response of the top layer is modeled with the help of the Burgers model. The vehicle model considered in this study is a half car model, fitted with accelerometers at specified points. The identification of the coupled system of vehicle-pavement interaction employs a coupled scheme of an unbiased minimum variance estimator and an optimization scheme. The partitioning of observed noisy quantities to be used in the two schemes is investigated in detail before the analysis. The unbiased minimum variance estimator (MVE) make use of a linear state-space formulation including roughness, to overcome the linearization difficulties as in conventional nonlinear filters. MVE gives estimates for the unknown input and fed into the optimization scheme to yield estimates of vehicle parameters. The issue of ill-posedness of the problem is dealt with by introducing a regularization equivalent term in the objective function, specifically where a large number of parameters are to be estimated. Effect of different objective functions is also studied. The outcome of this research is an overall measure of pavement condition.

Analysis of Automotive Paints using Pyrolysis-Gas Chromatography (열분해-가스크로마토그라피에 의한 자동차 페인트 분석)

  • Shon, Sung-Kun;Park, Ha-Sun;Lee, Jin-Sook;Hong, Sung-Wook;Park, Sung-Woo;Cho, Sung-Hye
    • Analytical Science and Technology
    • /
    • v.13 no.1
    • /
    • pp.101-107
    • /
    • 2000
  • The automotive paints could be generally differentiated by color, layer sequence and chemistry of the paint layers comprising each of the topcoat and the primer system. The successful identification of hit-andrun a and traffic accidental vehicles from evidential paint fiagments is greatly facilitated with a comprehensive laboratory collection of reference paint samples and the technique for direct analysis without sample preparation. The Pyrolysis-Gas Chromatography(PGC) is a precise and reliable method for performing both quantitative and qualitative analysis of polymeric materials and forensic samples. Our Forensic Laboratory is conducting the examination and identification of 73 reference paint samples; 4 colors of each domestic automotive make that is popular in Korea, by Curie Point Pyrolyzer(JHP-3) and GC with capillary column(ultra alloy-5). This method can be used not only to compare paint traces with their suspected sources, but also to identify the type, make and model of the automotive car.

  • PDF

The switching technique to the alternative frequency on RDS broadcast (RDS 방송에서 대체주파수로의 전환기법에 관한 연구)

  • Hwang, Jong-Hyun;Kim, Yound-Cil
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
    • /
    • 2010.05a
    • /
    • pp.127-130
    • /
    • 2010
  • The reception quality of broadcasting in car radio system may become poor due to the noise such as week signal strength, multipath, Adjacent Channel and so on. To improve this, some european nations and U.S. serve RDS(Radio Data System) on FM radio. AF(Alternative Frequency) and PI(Programme Identification) code contained information in RDS data are used to switch to the broadcasting having the best reception quality. There are many techniques and studies of maintaining the best reception quality. But many previous techniques are no longer the best way because RF chips are improved every year and noise components can be distinguished in detail. So this research will suggest the best switching technique to maintain the best reception quality.

  • PDF

Structural Modification for Noise Reduction of the Blower Case in a Fuel Cell Passenger Car Based on the CAE Technology (승용연료전지 자동차용 블로워 케이스의 방사소음 저감을 위한 CAE 이용 구조변경에 관한 연구)

  • Song, Min-Keun;Lee, Sang-Kwon;Seo, Sang-Hoon
    • Transactions of the Korean Society for Noise and Vibration Engineering
    • /
    • v.18 no.9
    • /
    • pp.972-981
    • /
    • 2008
  • The blower which is installed in a FCEV(fuel cell electric vehicle) may cause noise due to misalignment and unbalance of mechanical components that rotate at high speed. One of the key points in efforts to minimize the noise radiation from a blower is the knowledge of the main radiating component and the relation between the surface vibration of a blower and the sound pressure. In this research, the blower model is developed based on FEM(finite element method). FE(finite element) model is reliable by correlation of frequencies and MAC(modal assurance criterion) values between EMA(experimental modal analysis) and FEA(finite element analysis). This model is applied to predict the vibration of a blower by using inverse force identification method and predict the radiating noise by using BEM(boundary element method). Comparing the frequencies of resonance and those mode shapes between EMA and FEA, a structural modification of the FE model is evaluated for reducing the parameters of the blower noise.

Fabrication and Characterization of Portable Electronic Nose System using Gas Sensor Array and Artificial Neural Network (가스센서 어레이와 인공 신경망을 이용한 소형 전자코 시스템의 제작 및 특성)

  • 홍형기;권철한;윤동현;김승렬;이규정
    • Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
    • /
    • 1997.04a
    • /
    • pp.99-102
    • /
    • 1997
  • An electronic nose system is an instrument designed far mimicking human olfactory system. It consists generally of gas (odor) sensor array corresponding to olfactory receptors of human nose and artificial neural network pattern recognition technique based on human biological odor sensing mechanism. Considerable attempts to develop the electronic nose system have been made far applications in the fields of floods, drinks, cosmetics, environment monitoring, etc. A portable electronic nose system has been fabricated by using oxide semiconductor gas sensor array and pattern recognition technique such as principal component analysis (PCA) and back propagation artificial neural network The sensor array consists of six thick film gas sensors whose sensing layers are Pd-doped WO$_3$ Pt-doped SnO$_2$ TiO$_2$-Sb$_2$O$_3$-Pd-doped SnO$_2$ TiO$_2$-Sb$_2$O$_{5}$-Pd-doped SnO$_2$+Pd filter layer, A1$_2$O$_3$-doped ZnO and PdCl$_2$-doped SnO$_2$. As an application the system has been used to identify CO/HC car exhausting gases and the identification has been successfully demonstrated.d.

  • PDF

A Study of Car Plate Recognition System on The Park (주차장 자동차번호 인식 시스템에 관한 연구)

  • 신강호
    • Journal of the Korea Society of Computer and Information
    • /
    • v.8 no.4
    • /
    • pp.87-91
    • /
    • 2003
  • In this paper, a rotation invariant fingerprint identification system is implemented using the circular harmonic filter and phase only correlator. We extracted the phase component from input fingerprint image and correlate it with the circular harmonic filter of the reference fingerprint image by POC. The input image is obtained using a prism operating in the internal full reflection mode. Then the input image is transformed to two dimensional Fourier spectrum in optical way and the phase component is extracted using a digital system from the spectrum. Because composed of the optical system and digital algorithm, the proposed system has the advantages of the two technologies such as realtime parallel processing property of the optics and the flexibility of the digital system.

  • PDF