• Title/Summary/Keyword: data-driver

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Implementation of an USB Camera Interface Based on Embedded Linux System (임베디드 LINUX 시스템 기반 USB 카메라 인터페이스 구현)

  • Song Sung-Hee;Kim Jeong-Hyeon;Kim Tae-Hyo
    • Journal of the Institute of Convergence Signal Processing
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    • v.6 no.4
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    • pp.169-175
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    • 2005
  • In recent, implementation of the embedded system is gradually in the spotlight of world-wide by information technology(IT) engineers. By this time, an implementation of real time system is limited on image acquisition and processing system in practical. In this paper, the USB camera interface system based on the embedded linux OS is implemented using USB 2.0 camera with low cost. This system can obtain image signals into the memory via X-hyper255B processor from USB camera. It is need to initialize USB camera by the Video4Linux for the kernel device driver. From the system image capturing and image processing can be performed. It is confirmed that the image data can be transformed to packet of Network File System(NFS) and connected to the internetwork, then the data can be monitored from the client computer connected to the internetwork.

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Depthmap Generation with Registration of LIDAR and Color Images with Different Field-of-View (다른 화각을 가진 라이다와 칼라 영상 정보의 정합 및 깊이맵 생성)

  • Choi, Jaehoon;Lee, Deokwoo
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.21 no.6
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    • pp.28-34
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    • 2020
  • This paper proposes an approach to the fusion of two heterogeneous sensors with two different fields-of-view (FOV): LIDAR and an RGB camera. Registration between data captured by LIDAR and an RGB camera provided the fusion results. Registration was completed once a depthmap corresponding to a 2-dimensional RGB image was generated. For this fusion, RPLIDAR-A3 (manufactured by Slamtec) and a general digital camera were used to acquire depth and image data, respectively. LIDAR sensor provided distance information between the sensor and objects in a scene nearby the sensor, and an RGB camera provided a 2-dimensional image with color information. Fusion of 2D image and depth information enabled us to achieve better performance with applications of object detection and tracking. For instance, automatic driver assistance systems, robotics or other systems that require visual information processing might find the work in this paper useful. Since the LIDAR only provides depth value, processing and generation of a depthmap that corresponds to an RGB image is recommended. To validate the proposed approach, experimental results are provided.

An Activity-Based Analysis of Heavy-Vehicle Trip Chains (우리나라 대형 화물차의 통행사슬 분석:활동기반모형 적용)

  • Joh, Chang-Hyeon;Kim, Chan-Sung;Seong, Hong-Mo
    • Journal of the Economic Geographical Society of Korea
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    • v.11 no.2
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    • pp.192-202
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    • 2008
  • Typical activity-based travel analysis has been focused on passenger travel using household survey data. The current research focuses on freight transport using one-day travel survey data. Passenger travel can be seen as the outcome of traveller's subjective decision-making, whereas freight transport is the outcome of shipper or transport company's optimized scheduling. The research conducts an activity-based analysis of freight-vehicle trip chains. In particular, the research focuses on the difference in travel pattern between shipper-oriented private vehicle and transport company-oriented business vehicle. The research analyzed the travel diary of freight vehicles collected as part of the third national logistic survey in 2005. The diary is freight driver's one-day travel record including the information of loading capacity, item transported, destination, arrival time, etc. The analysis results show the difference between private and business vehicles in the travel pattern regarding the sequences of destination, destination type and item transported and the multi-dimensional information of the three sequences.

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A Study on the Formation and the Change of the CDM(Clean Development Mechanism) Industry in the Republic of Korea from the Change in Industrial Networks (한국 청정개발체제 네트워크 변화에 따른 산업 형성과 변화 연구)

  • Lee, Jin-Hyung
    • Journal of the Economic Geographical Society of Korea
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    • v.20 no.4
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    • pp.486-502
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    • 2017
  • This study investigated the formation process and networks of Korean Clean Development Mechanism(CDM) industry. It aimed to reveal the factors and the drivers for the formation processes of this industry in the specific place. Based on the analysis of the Project Design Documents(PDDs) of the CDM projects and the collected project data by international institutions, surveys, and interviews were done. On the basis of these data, the analysis on the industrial change as complex emergent effects by the network evolution caused by adaptive activity of firms is conducted. In the time of the genesis, a kind of serendipity that the industrial activities of Korean firms meet to new system, CDM, In the changing process of the Korean CDM industry, the role of policies fo Korean Government was important to promote the new and renewable energy projects of the power companies. In the time of restructuring, Korean government policies formed new initial conditions for the new domestic GHGs reduction industry. In this processes, the localization of knowledge acted as a key driver for the formation of the Korean CDM industry.

The Effect of Power Generation Capacity and Wind Speed on the Efficiency of the Korean Wind Farms (발전용량 및 풍속에 따른 국내 풍력 발전단지의 효율성 분석)

  • Lee, Joong-Woo;Ko, Kwang-Kun;Lee, Ki-Kwang
    • Korean Management Science Review
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    • v.30 no.2
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    • pp.97-106
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    • 2013
  • Of the new and renewable energies currently being pursued domestically, wind energy, together with solar photovoltaic energy, is a new core growth driver industry of Korea. As of May 2012, 33 wind farms at a capacity of 347.8MW are in operation domestically. The purpose of this study was to compare and analyze how efficiently each operational wind farm is utilizing its power generation capacity and the weather resource of wind. For this purpose, the study proceeded in 3 phases. In phase 1, ANOVA analysis was performed for each wind farm, thereby categorizing farms according to capacity, region, generator manufacturer, and quantity of weather resources available and comparing and analyzing the differences among their operating efficiency. In phase 2, for comparative analysis of the operating efficiency of each farm, Data Envelopment Analysis (DEA) was used to calculate the efficiency index of individual farms. In the final phase, phase 3, regression analysis was used to analyze the effects of weather resources and the operating efficiency of the wind farm on the power generation per unit equipment. Results shows that for wind power generation, only a few farms had relatively high levels of operating efficiency, with most having low efficiency. Regression analysis showed that for wind farms, a 1 hour increase in wind speeds of at least 3m/s resulted in an average increase of 0.0000045MWh in power generation per 1MW generator equipment capacity, and a unit increase in the efficiency scale was found to result in approximately 0.20MWh power generation improvement per unit equipment.

Prediction of Severities of Rental Car Traffic Accidents using Naive Bayes Big Data Classifier (나이브 베이즈 빅데이터 분류기를 이용한 렌터카 교통사고 심각도 예측)

  • Jeong, Harim;Kim, Honghoi;Park, Sangmin;Han, Eum;Kim, Kyung Hyun;Yun, Ilsoo
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.16 no.4
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    • pp.1-12
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    • 2017
  • Traffic accidents are caused by a combination of human factors, vehicle factors, and environmental factors. In the case of traffic accidents where rental cars are involved, the possibility and the severity of traffic accidents are expected to be different from those of other traffic accidents due to the unfamiliar environment of the driver. In this study, we developed a model to forecast the severity of rental car accidents by using Naive Bayes classifier for Busan, Gangneung, and Jeju city. In addition, we compared the prediction accuracy performance of two models where one model uses the variables of which statistical significance were verified in a prior study and another model uses the entire available variables. As a result of the comparison, it is shown that the prediction accuracy is higher when using the variables with statistical significance.

A Study on Taxi Drivers' Smoking Behavior, Self-efficacy and Expectation Level of Success in Smoking Cessation (택시기사들의 흡연실태 및 금연에 대한 자기효능감과 성공기대)

  • Son, Haeng-Mi;Kim, Chun-Mi
    • Research in Community and Public Health Nursing
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    • v.16 no.4
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    • pp.517-526
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    • 2005
  • Purpose: The purpose of this study is to find taxi drivers' smoking behavior, self-efficacy and expectation level of success in smoking cessation. It will provide useful information for developing nursing interventions in health promotion programs. Method: The subjects of this study were 271 taxi drivers in Seoul and its metropolitan area. Data were collected using a self-reported questionnaire asking smoking history, smoking behaviors, health problem, stages of change for smoking cessation, self-efficacy and the expectation level of success in smoking cessation. Data were analyzed through descriptive statistics. Pearson's correlation, Mann-Whitney U test, Kruskal-Wallis test and Cronbach's a. Results: Of the taxi drivers, 83.8% were current smokers. Stages of change were as follows: 45.8% were in the precontemplation stage, 26.2% in the contemplation stage, 13.7% in the maintenance stage, 12.2% in the preparation stage and 1.5% in the action stage. In addition. 20.3% of the subjects reported health problems such as hypertension, heart disease, diabetes mellitus and respiratory disease. The expectation level of success in smoking cessation was positively related with self-efficacy. There were statistically significant differences in the expectation level of success in smoking cessation according to the number of cigarettes per day and nicotine dependency. In addition. there were statistically significant differences in self-efficacy according to the number of cigarettes per day, duration of smoking (years) and nicotine dependency. Conclusion: The results of this study suggest that taxi drivers' health problems and smoking rate were serious. Therefore more systematic health promotion programs for smoking cessation should be developed and executed by health care specialists at individual taxi companies.

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Tire wear judgment system implementation using depth camera (깊이 카메라를 이용한 타이어 마모도 판단 시스템 구현)

  • Kim, Min-joon;Jang, Jong-wook
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2016.05a
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    • pp.262-264
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    • 2016
  • In order to check the status of tire wear, a driver or auto mechanic generally checks tires with the naked eyes or with a coin. Those are easy for anyone but make it difficult to obtain precise information. But the result is a measure of mechanic wear out due to subjective judgment. Since we can not give correctly measure the stability of the tire. This may lead to an accident of the operator. Therefore, there is a need for a system checking tires precisely, accurately and easily, while making up for the aforementioned defect. This thesis has implemented a system with the aforementioned function. This system tire surface scanner data unit to determine the tread wear on the car and a storage unit for the data save, And a Web service unit allows the user to easily check the information.

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A Fast Parity Resynchronization Scheme for Small and Mid-sized RAIDs (중소형 레이드를 위한 빠른 패리티 재동기화 기법)

  • Baek, Sung Hoon;Park, Ki-Wong
    • KIPS Transactions on Computer and Communication Systems
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    • v.2 no.10
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    • pp.413-420
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    • 2013
  • Redundant arrays of independent disks (RAID) without a power-fail-safe component in small and mid-sized business suffers from intolerably long resynchronization time after a unclean power-failure. Data blocks and a parity block in a stripe must be updated in a consistent manner, however a data block may be updated but the corresponding parity block may not be updated when a power goes off. Such a partially modified stripe must be updated with a correct parity block. However, it is difficult to find which stripe is partially updated (inconsistent). The widely-used traditional parity resynchronization manner is a intolerably long process that scans the entire volume to find and fix inconsistent stripes. This paper presents a fast resynchronization scheme with a negligible overhead for small and mid-sized RAIDs. The proposed scheme is integrated into a software RAID driver in a Linux system. According to the performance evaluation, the proposed scheme shortens the resynchronization process from 200 minutes to 5 seconds with 2% overhead for normal I/Os.

Implementation of Telematics System Using Driving Pattern Detection Algorithm (운전패턴 검출 알고리즘을 적응한 텔레매틱스 단말기 구현)

  • Kin, Gi-Seok;Jung, Hee-Seok;Yun, Kee-Bang;Jeong, Kyung-Hoon;Kim, Ki-Doo
    • 전자공학회논문지 IE
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    • v.45 no.4
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    • pp.33-41
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    • 2008
  • Telematics system includes the "vehicle remote diagnosis technology", "driving pattern analysis technology" which are commercially attractive in the real life. To implement those technologies, we need vehicle signal interface, vehicle diagnosis interface, accelerometer/yaw-rate sensor interface, GPS data processing, driving pattern analysis, and CDMA data processing technique. Based on these technologies, we analyze the error existence by diagnosing the EMS(Engine Management System), TMS(Transmission Management System), ABS/TCS, A/BAG in real time. And we are checking about a driving pattern and management of the vehicle, which are sent to the information center through the wireless communication. These database results will make the efficient vehicle and driver management possible. We show the effectiveness of our results by field driving test after completing the H/W & S/W design and implementation for vehicle remote diagnosis and driving pattern analysis.