• Journal of Internet Computing and Services
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• v.25 no.2
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• pp.11-19
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• 2024

This paper was studied abouta technology for detecting damage to temporary works equipment used in construction sites with explainable artificial intelligence (XAI). Temporary works equipment is mostly composed of steel or aluminum, and it is reused several times due to the characters of the materials in temporary works equipment. However, it sometimes causes accidents at construction sites by using low or decreased quality of temporary works equipment because the regulation and restriction of reuse in them is not strict. Currently, safety rules such as related government laws, standards, and regulations for quality control of temporary works equipment have not been established. Additionally, the inspection results were often different according to the inspector's level of training. To overcome these limitations, a method based with AI and image processing technology was developed. In addition, it was devised by applying explainableartificial intelligence (XAI) technology so that the inspector makes more exact decision with resultsin damage detect with image analysis by the XAI which is a developed AI model for analysis of temporary works equipment. In the experiments, temporary works equipment was photographed with a 4k-quality camera, and the learned artificial intelligence model was trained with 610 labelingdata, and the accuracy was tested by analyzing the image recording data of temporary works equipment. As a result, the accuracy of damage detect by the XAI was 95.0% for the training dataset, 92.0% for the validation dataset, and 90.0% for the test dataset. This was shown aboutthe reliability of the performance of the developed artificial intelligence. It was verified for usability of explainable artificial intelligence to detect damage in temporary works equipment by the experiments. However, to improve the level of commercial software, the XAI need to be trained more by real data set and the ability to detect damage has to be kept or increased when the real data set is applied.

• Korean Management Science Review
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• v.12 no.1
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• pp.35-50
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• 1995

The material handling equipment selection, that is a key task in the material handling system design, is a complex, difficult task, and requires a massive technical knowledge and systematic analysis. It is also invaluable to justify the selected equipment model by the performance evaluation before its actual implementation. This paper presents an intelligent knowledge-based expert system called "IMESE" created by author, for the selection and evaluation of material handling equipment model suitable for movement and storage of materials in a manufacturing facility. The IMESE was constructed by using the tools of VP-Expert expert system shell, DBASEIII plus, FORTRAN 77, and SLAMII simulation language. The whole process of IMESE is executed under VP-Expert expert system environment.vironment.

• Geomechanics and Engineering
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• v.23 no.4
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• pp.381-392
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• 2020

The difficulties, challenges and limitations faced in standard pressuremeter testing in the measurement of low soil deformations led a number of researchers to think about the possible modification of the equipment, and especially the replacement of the volumeter by a Hall Effect sensor. This article is a major contribution in this direction. It makes an attempt to detail the design, manufacture and operation of the new equipment. The calibration of the various components was carried out according to the rules presently in force. This proposal was applied, on an exploratory basis, to the data of a real site located in France. The authors present the preliminary results of some cyclic pressuremeter tests, previously carried out in the laboratory, on a sandy material, and they then provide a basic interpretation of these results. The findings indicated that the proposed apparatus is capable of providing high-quality information about constraints and deformations. Although these tests were performed within the laboratory, it was possible to analyze the power, quality, performance and insufficiencies of the proposed equipment.

• Proceedings of the Korean Society of Marine Engineers Conference
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• 2011.06a
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• pp.250-253
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• 2011

The cruise industry is one of the world's fastest growing device industry which is structural construction coasts are expensive. Cruise out-fittings are thirty times compare with general large vessels. According to the characteristics of materials or equipments, most equipments are imported from europe. At present domestic shipbuilding industries and minor enterprises have a hard times therefore enhancing technology for the cruise industry could be infused vitality on the industries. If domestic small and midium industries have high technology for the cruise ship, domestic small and midium industries can have global competitiveness compare with european equipment suppliers which has small-scale and high technology. Therefore on this study, cruise ship's new equipment development and a study for the performance assessment and classification type approval certificate was carried out.

• The Korean Journal of Emergency Medical Services
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• v.26 no.1
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• pp.87-99
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• 2022

Purpose: This study aimed to provide basic data for the improvement of the standards related to the performance improvement of the firefighting equipment standards for special ambulances. Methods: Among the domestic firefighting equipment standards, the special ambulance standard was compared with the NFPA 1917 standard for the United States automobile ambulance 2019 and European Union European standard EN 1789 medical vehicle and its equipment, a road ambulance. Results: Anti-skid performance based on indoor noise standards, performance standards for interior lights, seat belt warning device, child car seat fixing device, safety handle, auxiliary footrest, and flooring materials should be supplemented. Conclusion: It is necessary to strengthen the production and performance standards for improvement to a level corresponding to the national standards, such as the United States and European Union.

• Nuclear industry
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• v.5 no.4 s.26
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• pp.21-24
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• 1985

• Journal of Drive and Control
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• v.4 no.4
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• pp.78-83
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• 2007

• Nuclear industry
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• v.3 no.4 s.14
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• pp.23-28
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• 1983

• Proceedings of the Korean Society Of Semiconductor Equipment Technology
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• 2002.11a
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• pp.120-122
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• 2002

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.6 no.3
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• pp.217-222
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• 2006

Recently, LG chemical corporation developed new material called HYPERIER, which has an excellent barrier characteristic. It has many layers which are made of nano-composite within LDPE(Low-Density Poly Ethylene). In order to guarantee the quality of the final product from the production line, a certain test equipment is required to investigate the existence of layers inside the HYPERIER. In this work, ultrasonic sensor based test equipment for investigating the existence of inner layers is proposed. However, it is a tedious job for human operators to check the existence by just looking at the resounding waveform from ultrasonic sensor. Therefore, to enhance the performance of the ultrasonic test equipment, wavelet and PCA(Principle Componet Analysis) schemes are introduced into neural network scheme which is used for classification. To verify the feasibility of the proposed scheme, some experiments are executed.