• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.21 no.46
• /
• pp.229-240
• /
• 1998

In these days, we are facing the needs of the times that the product have to be converted from quantity to quality. Most companys now pay more attention to maximize efficiency of facilities with introducing high priced equipments, those equipments are too automated and electronic that partial failure or short time stop leads to the stop of producing process in the whole factory. Consequently, effective maintenance management of production equipment becomes a only solution against problems. This thesis develops a preventive maintenance software that grasp a failure sign through daily inspection with management item, Machine-Capability index and estimate a trend, determine the time of preventive maintenance. The software is useful to the plant operator in analyzing information easily and controlling preventive maintenance operations efficiently.

• Proceedings of the Korean Information Science Society Conference
• /
• 2005.07b
• /
• pp.793-795
• /
• 2005

본 논문에서는 자동결함검출 방법으로 돌출 함몰, 점 등과 같은 작은 결항들을 검출하기 위해 모폴로지의 닫힘, 열림 방법을 이용하는 템플레이트 검사 방법을 사용하였고, 얼룩, 스크래치와 같은 큰 결함을 검출하기 위해 영상에서 격자와 같은 일정한 블록을 형성하여 각 블록을 비교하여 결함을 찾는 블록매칭 방법을 사용하였다. 또한 이 알고리즘을 적용한 결과 결함 검출에 좋은 성능이 있음을 보여준다. 제안된 알고리즘은 자체 개발한 장비에서 실제 BLU의 영상을 얻어 테스트를 하였다.

• Transactions of the Korean Society of Automotive Engineers
• /
• v.6 no.6
• /
• pp.243-251
• /
• 1998

A method of establishing the tooth modification for gear transmission of vehicles to reduce gear whine noise, caused by tooth impact phenomenon of mating gear, is introduced. The major causes of tooth impact are due to the deflections of gear teeth and shafts of transmission with the loaded condition including various kinds of manufacturing errors. The theoretical shape of tooth surface to avoid tooth impact is derived by the amount of elastic deformation of gear teeth and shaft and overall manufacturing error of machine tool. The surface function is converted with respect to the conventional commercial data usually communicated to the gear inspection system. The proposed method is applied to the gearbox of four wheel drive vehicle and shows the gear whine noise decreased to the 8 dB in the sound level.

• IE interfaces
• /
• v.6 no.2
• /
• pp.53-65
• /
• 1993

This paper deals with the development of a software module for production planning and scheduling activities of an existing Flexible Machining and Assembly System (FMAS). The Production Planning Module uses the hierarchical and sequential scheme based on "divide and conquer" philosophy. In this module, routes are determined based on the production order, orders are screened, tools are allocated, and order adjustments are executed according to the allocated tools. The Scheduling Module allocates the resources, determines the task priority and the start and completion times of tasks. Re-scheduling can be done to handle unforeseen situations such as lumpy demands and machine breakdowns. Since all modules are integrated with a central database and they interface independently, it is easy to append new modules or update the existing modules. The result of this study is used for operating the real FMAS consisting of a machining cell with 2 domestic NC machines and a part feeding robot, an assembly cell with a conveyor and 3 robots, an inspection cell, an AGV, an AS/RS, and a central control computer.

• Journal of the Korean Society of Industry Convergence
• /
• v.12 no.4
• /
• pp.203-208
• /
• 2009

Lacks of harmony of a person and machine according to productivity elevation pursuit is happened by enterprise common problem in Global competition age and productivity loss is caused being connected to worker's burden work. Burden work in PET bottle production Process which are arrangement, Packing, interior inspection is analyzed by Ergonomic analysis technique. REBA estimation point(10~11 points) means the high step of hazard on worker's burden. It is immediately required the improvement on the process. This thesis show you the improving methods like package, examination justice.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.14 no.12
• /
• pp.4763-4775
• /
• 2020

This research aims to develop a deep learning-based method that automatically detects and segments the defects on railroad surfaces to reduce the cost of visual inspection of the railroad. We developed our segmentation model by modifying a fully convolutional network model [1], a well-known segmentation model used for machine learning, to detect and segment railroad surface defects. The data used in this research are images of the railroad surface with one or more defect regions. Railroad images were cropped to a suitable size, considering the long height and relatively narrow width of the images. They were also normalized based on the variance and mean of the data images. Using these images, the suggested model was trained to segment the defect regions. The proposed method showed promising results in the segmentation of defects. We consider that the proposed method can facilitate decision-making about railroad maintenance, and potentially be applied for other analyses.

• Electronics and Telecommunications Trends
• /
• v.36 no.2
• /
• pp.56-64
• /
• 2021

Many computer vision algorithms are computationally expensive and require a lot of computing resources. Recently, owing to machine learning technology and high-performance embedded systems, vision processing applications, such as object detection, face recognition, and visual inspection, are widely used. However, on-devices need to use their resources to handle powerful vision works with low power consumption in heterogeneous environments. Consequently, global manufacturers are trying to lock many developers into their ecosystem, providing integrated low-power chips and dedicated vision libraries. Khronos Group-an international standard organization-has released the OpenVX standard for high-performance/low-power vision processing in heterogeneous on-device systems. This paper describes vision libraries for the embedded systems and presents the OpenVX standard along with related trends for on-device vision system.

• Journal of Intelligence and Information Systems
• /
• v.28 no.3
• /
• pp.139-159
• /
• 2022

As interest in health functional foods has increased since COVID-19, the importance of imported food safety inspections is growing. However, in contrast to the annual increase in imports of health functional foods, the budget and manpower required for inspections for import and export are reaching their limit. Hence, the purpose of this study is to propose a machine learning model that efficiently detects unsuitable food suitable for the characteristics of data possessed by government offices on imported food. First, the components of food import/export inspections data that affect the judgment of nonconformity were examined and derived variables were newly created. Second, in order to select features for the machine learning, class imbalance and nonlinearity were considered when performing exploratory analysis on imported food-related data. Third, we try to compare the performance and interpretability of each model by applying various machine learning techniques. In particular, the ensemble model was the best, and it was confirmed that the derived variables and models proposed in this study can be helpful to the system used in import/export inspections.

• Korean Journal of Construction Engineering and Management
• /
• v.9 no.1
• /
• pp.55-65
• /
• 2008

It is increasingly recognized that the construction equipment play an important role as resources in construction process. The number of registered construction equipment in korea is over 320,000 according to the statistics. It is obvious that the machine-intensive construction method achieves productivity and quality improvement as well as safety. The main objective of this paper is to propose improvement plans for construction equipment management system in terms of scope, registration, inspection, rental business, operating licenses, and etc., which are the major issues described in the Construction Equipment Management Law. In order to satisfy the objective, this research conduct survey and interview with experts, and literature review on domestic and overseas related laws and regulations. The results of the research are about 20 issues for improvement plans for the better management system, so the further in-depth study on each issue will be recommended for the practical application to the law.

• International Journal of Quality Innovation
• /
• v.6 no.1
• /
• pp.58-73
• /
• 2005

The objective of this study is to evaluate the equipment risk before and after SEMI S2-93A implementation, thus providing a guideline for safety improvement. Semiconductor Plant A located in Taiwan's Hsinchu Science Based Industrial Park with 147 manufacturing machines was used for risk assessment. This study was carried out in three steps. First, a preliminary hazard analysis was conducted. A detailed process safety evaluation was conducted (Hazard and Operability Study, HAZOP); and finally, the equipment risk comparison before and after Semiconductor Equipment Manufacturing Instruction (SEMI S2-93A) implementation. The preliminary hazard analysis results showed high risk in 21.77% of the manufacturing machines under risk assessment at Plant A. The largest percentage existed in the Diffusion Department. The machine types specified by the hazardous work site review and inspection according to Article 26 of Labor Inspection Regulation (the machines that use such chemicals as, $SiH_4$, HF, HCL, etc. and that are determined to be highly hazardous through preliminary hazard analysis) were added to the detailed process analysis and evaluation. In the third part of this evaluation, the machines at Plant A used for detailed process safety assessment were divided into two groups based on the manufacturing data before and after 1993. The severity, possibility, and actual accident analysis before and after SEMI S2-93A implementation were compared. The Semiconductor Equipment Manufacturing Instruction (SEMI S2-93A) implementation can reduce the severity and possibility of hazard occurrence.