• Title/Summary/Keyword: Auto Repair

Search Result 47, Processing Time 0.025 seconds

Improving Automobile Insurance Repair Claims Prediction Using Gradient Decent and Location-based Association Rules

  • Seongsu Jeong;Jong Woo Kim
    • Asia pacific journal of information systems
    • /
    • v.34 no.2
    • /
    • pp.565-584
    • /
    • 2024
  • More than 1 million automobile insurance repairs occur per year globally, and the related repair costs add up to astronomical amounts. Insurance companies and repair shops are spending a great deal of money on manpower every year to claim reasonable insurance repair costs. For this reason, promptly predicting insurance claims for vehicles in accidents can help reduce social costs related to auto insurance. Several recent studies have been conducted in auto insurance repair prediction using variables such as photos of vehicle damage. We propose a new model that reflects auto insurance repair characteristics to predict auto insurance repair claims through an association rule method that combines gradient descent and location information. This method searches for the appropriate number of rules by applying the gradient descent method to results generated by association rules and eventually extracting main rules with a distance filter that reflects automobile part location information to find items suitable for insurance repair claims. According to our results, predictive performance could be improved by applying the rule set extracted by the proposed method. Therefore, a model combining the gradient descent method and a location-based association rule method is suitable for predicting auto insurance repair claims.

Auto Defect Repair Algorithm for LCD Panel Review & Repair Machine (LCD 패널 Review & Repair 장비의 결함수정 자동화 알고리즘)

  • Lee, W.C.;Lim, S.M.;Lee, S.K.;Jeong, S.H.;Hong, S.K.
    • Laser Solutions
    • /
    • v.15 no.1
    • /
    • pp.6-9
    • /
    • 2012
  • In TFT-LCD manufacturing process, various defects are generated by manufacturing machine trouble or particle. These defects can be repaired through the TFT-Laser repair process that only can't be automated in TFT-LCD manufacturing Process. In this Paper, we propose auto defect algorithm for TFT-LCD laser repair machine using image processing algorithm in order to automate process. Proposed algorithm can detect very small defects (< 2um) in 98% success ratio, and generated laser repair path guarantee highly precise position accuracy. Through proposed system, much of the work still done the old-fashioned way, by hand, can be automated and manufacturing company can be strengthed the competitiveness of cost.

  • PDF

Defect Cell Extraction for TFT-LCD Auto-Repair System (TFT-LCD 자동 수선시스템에서 결함이 있는 셀을 자동으로 추출하는 방법)

  • Cho, Jae-Soo;Ha, Gwang-Sung;Lee, Jin-Wook;Kim, Dong-Hyun;Jeon, Edward
    • Journal of Institute of Control, Robotics and Systems
    • /
    • v.14 no.5
    • /
    • pp.432-437
    • /
    • 2008
  • This paper proposes a defect cell extraction algorithm for TFT-LCD auto-repair system. Auto defect search algorithm and automatic defect cell extraction method are very important for TFT-LCD auto repair system. In the previous literature[1], we proposed an automatic visual inspection algorithm of TFT-LCD. Based on the inspected information(defect size and defect axis, if defect exists) by the automatic search algorithm, defect cells should be extracted from the input image for the auto repair system. For automatic extraction of defect cells, we used a novel block matching algorithm and a simple filtering process in order to find a given reference point in the LCD cell. The proposed defect cell extraction algorithm can be used in all kinds of TFT-LCD devices by changing a stored template which includes a given reference point. Various experimental results show the effectiveness of the proposed method.

The Perceived-experiential Value and Service Quality of Auto Maintenance and Repair Service

  • HONG, Jin-Pyo;KIM, Bo-Young;OH, Sung-Ho
    • Journal of Distribution Science
    • /
    • v.18 no.1
    • /
    • pp.59-69
    • /
    • 2020
  • Purpose: This study aims to examine such relationships as the experiential value that customers respond to with regard to maintenance service by empirically revealing how the quality of auto maintenance and repair service affects both customer satisfaction and intention to reuse the same service through the Perceived-experiential Value of customers. Research design, data and methodology: The research model was designed with service qualities such as human quality, material quality, interaction quality, and system quality as independent variables, perceived-experiential value as a parameter, and service satisfaction and return visit intention as dependent variables. Through a questionnaire composed of 24 items, a total of 319 survey data from customers with the experience of using car maintenance service centers in Korea were collected and analyzed using a structural equation. Results: The material quality did not affect the customers' perceived-experiential value, whereas the interaction quality had the greatest influence. It is confirmed that human quality, interaction quality, and system quality can generate customer satisfaction and repurchase intention through the perceived-experiential value. Conclusions: The experiential value of customers can play an important medium role in improving satisfaction, with customers considering interaction quality important. Therefore, the auto maintenance and repair service should consider relationship-focused service strategies.

An Enhancement of Services Selection in Web Services (웹 서비스에서 서비스의 선택의 개선)

  • Nasridinov, Aziz;Kim, Kyoungwook;Byun, Jeongyong
    • Annual Conference of KIPS
    • /
    • 2009.04a
    • /
    • pp.1307-1310
    • /
    • 2009
  • Web services provide the possibility of dynamically integrating distributed service components scattered over the Internet to fulfill sophisticated business demands. However due to today's wide variety of services offered to perform a specific task, it's essential that users are supported in the eventual selection of appropriate services. An example of web services for which selection of appropriate services will be crucial is Auto Repair Services. Selecting proper service from a variety of Auto Part Shops would be result of delivering high-quality service and minimizing Auto Repair Service customer's waiting time. Therefore, in this research to assist selecting proper service, we present Functional-Level Mediator and illustrate its usage in matching customer's and web service's goals. Five matching cases have been analyzed and results from experiment have been shown. Also, taking advantage of implementing multithreaded web services which reflects concurrent activity in the real world more naturally, we have significantly minimized customer's waiting time at Auto Repair Service.

Surgical Procedures for Chronic Lateral Ankle Instability (만성 외측 발목 불안정증의 수술적 치료)

  • Young, Ki Won;Lee, Hong Seop;Hwang, Ji Sun
    • Journal of Korean Foot and Ankle Society
    • /
    • v.25 no.1
    • /
    • pp.17-24
    • /
    • 2021
  • Surgical treatments for chronic lateral ankle instability include anatomic repair, anatomic reconstruction using an auto or allograft, non-anatomic reconstruction, and arthroscopic repair. Open anatomic repair using the native ligament with or without reinforcement of the inferior extensor retinaculum is commonly performed in patients with sufficient ligament quality. Non-anatomical reconstruction using the adjacent peroneus brevis tendon is typically used only in patients with poor-quality ligament remnants or when previous repair failed. Anatomical reconstruction can be considered in patients in whom anatomical repair is expected to fail and when performed using auto or allografts can provide good to excellent short-term results, although the long-term outcomes of these methods remain unclear. Arthroscopic repair can provide good to excellent short-term clinical outcomes, but evidence supporting this technique is limited. The advantages and disadvantages of various surgical methods should be compared, and appropriate treatment should be implemented based on patient characteristics.

Analysis of Bus Accident Severity Using K-Means Clustering Model and Ordered Logit Model (K-평균 군집모형 및 순서형 로짓모형을 이용한 버스 사고 심각도 유형 분석 측면부 사고를 중심으로)

  • Lee, Insik;Lee, Hyunmi;Jang, Jeong Ah;Yi, Yongju
    • Journal of Auto-vehicle Safety Association
    • /
    • v.13 no.3
    • /
    • pp.69-77
    • /
    • 2021
  • Although accident data from the National Police Agency and insurance companies do not know the vehicle safety, the damage level information can be obtained from the data managed by the bus credit association or the bus company itself. So the accident severity was analyzed based on the side impact accidents using accident repair cost. K-means clustering analysis separated the cost of accident repair into 'minor', 'moderate', 'severe', and 'very severe'. In addition, the side impact accident severity was analyzed by using an ordered logit model. As a result, it is appeared that the longer the repair period, the greater the impact on the severity of the side impact accident. Also, it is appeared that the higher the number of collision points, the greater the impact on the severity of the side impact accident. In addition, oblique collisions of the angle of impact were derived to affect the severity of the accident less than right angle collisions. Finally, the absence of opponent vehicle and large commercial vehicles involved accidents were shown to have less impact on the side impact accident severity than passenger cars.

Paint booth volatile organic compounds emissions in an urban auto-repair center

  • Cho, Minkyu;Kim, Ki-Hyun;Szulejko, Jan E.;Dutta, Tanushree;Jo, Sang-Hee;Lee, Min-Hee;Lee, Sang-hun
    • Analytical Science and Technology
    • /
    • v.30 no.6
    • /
    • pp.329-337
    • /
    • 2017
  • A major concern regarding most auto-repair shops in residential areas is the emission of odorous volatile organic compounds (VOCs) into the local atmosphere, especially during painting operations. VOCs contribute to poor local air quality and are responsible for the perceived odor and discomfort experienced by local residents. Sixteen major VOCs (6 aromatic hydrocarbons and 10 aliphatic carbonyl compounds) were selected as potential target compounds. The site was an auto-repair shop located in a central region of Seoul, South Korea, where the air quality of the site has been a subject of residents' complaints. The sampling points were as follows: 1) in the painting booth with new (NB) or old (OB) removal system, (2) in the exhaust duct after new (ND) or old (OD) odor removal filter, and (3) 2 m below the discharge vent (4 m above the ground) (outdoor air, OA). Each sample was coded: (1) before painting (BP), (2) during painting (DP), and (3) after painting (AP). The toluene level in the duct with the new removal filter during painting (ND-DP) was 1.5 ppm (v/v), while it was 3.8 ppm (v/v) in the right duct with an old removal filter during painting (OD-DP). Accordingly, the effect of filter replacement was reflected by differences in VOC levels. Therefore, accurate monitoring of odorous VOCs is an important step to reduce odor nuisance from local sources.

A Study on the Analysis of Representative Bus Crash Types through Establishment of Bus In-depth Accident Data (버스 실사고 데이터 구축을 통한 대표 버스충돌유형 분석 연구)

  • Kim, Hyung Jun;Jang, Jeong Ah;Lee, Insik;Yi, Yongju;Oh, Sei Chang
    • Journal of Auto-vehicle Safety Association
    • /
    • v.12 no.4
    • /
    • pp.39-47
    • /
    • 2020
  • In this study, crash situations of representative bus crash types were elicited by analyzing a total of 1,416 bus repair record which were collected in 2018~2019. K-means clustering was used as a methodology for this study. Bus repair record contain the information of repair term, type of bus operation, responsibility of accident, weather condition, road surface condition, type of accident, other party, type of road and type of location for each data. Also, by checking collision parts of each bus repair record, each record was classified by types of collision regions. From this, 760 record are classified to frontal type, 363 record are classified to middle-frontal type, 374 record are classified to middle-rear type and 331 record are classified to rear type. As mentioned, k-means clustering was performed on each type of collision parts. As a result, this study analyzed the severity of bus crash based on actual bus accident data which are based on bus repair record not the crash data from the TAAS. Also, this study presented crash situation of representative bus crash types. It is expected that this study can be expanded to analyzing hydrogen bus crash and defining indicators of hydrogen bus safety.

Construction of Distribution Information System for Recovery and Management of used Parts of an Automobile (자동차 중고부품 회수 및 관리를 위한 물류정보시스템 구축)

  • Jung, Nam-Cheol
    • Journal of the Korea Society of Computer and Information
    • /
    • v.12 no.3
    • /
    • pp.203-212
    • /
    • 2007
  • Until now, used parts of automobiles necessary for the remake of automobiles have been recovered from auto repair shops. But it takes much time and cost to collect those parts because the recovery system has not been set up. Furthermore. used parts from auto junk yards have rarely been used for the remaking. This current situation will improve by adopting DISRMPA(Distribution Information System for Recovery and Management of used Parts of Automobiles) designed by the author. Auto repair shops or junk yards input the information of used parts to make a database in the system. Remaking companies use the database to find and recover used parts. The DISRMPA can help prepare stabilized ways to supply used parts.

  • PDF