• The Journal of the Convergence on Culture Technology
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• v.6 no.2
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• pp.489-502
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• 2020

This study shows the difference between groups with multivariate analysis of fire prevention activities, special investigations of fire safety, and fire safety management according to the management method of apartment houses and the inspection of firefighting facilities. The results of the analysis are as follows. First, there was a significant difference in fire prevention activities according to the quality of inspection of firefighting facilities. This means that fire prevention is high if the fire safety manager's ability to inspect firefighting facilities is excellent and the fire safety inspection is conducted in accordance with national fire safety standards and checklists. Second, there was a significant difference in the fire safety special investigation according to the management method of the apartment buildings. The manual operated by the management entity and the management entity's management and execution help the organization members to expedite work. This expedition of work creates a high possiblity to get a good evaluation from the special investigation of fire safety. Third, analysis of fire prevention activities showed a significant interaction between the inspection of firefighting facilities and the management method of apartment buildings. The analysis shows that that there is a positive correlation between the level of fire prevention and both the fire safety manager's ability to inspect firefighting facilities and the degree to which the inspection is conducted to meet national fire safety standards.

• International Journal of Quality Innovation
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• v.7 no.3
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• pp.58-69
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• 2006

This paper presents neural network-based recognition system for automatic light emitting diode (LED) inspection. The back-propagation neural network (BPNN) is proposed and tested. The current-voltage (I-V) characteristic data of LED from the inspection process is used for the network training and testing. This study selects 300 random samples as network training and employs 100 samples as network testing. The experimental results show that if the classification work is done well, the accuracy of recognition is 100%, and the testing speed of the proposed recognition system is almost one half faster than the traditional inspection system does. The proposed neural-network approach is successfully demonstrated by real data sets and can be effectively developed as a recognition system for a practical application purpose.

• Proceedings of the Korea Contents Association Conference
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• 2003.11a
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• pp.72-78
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• 2003

In this paper, survey of technical methods for protecting intellectual properties and proposal of art works plagiarism detection are accomplished. For this, in this paper, a survey of technical methods for inspecting of program source code plagiarism, analysis of natural languages plagiarism types and existing inspection methods are accomplished Also, author verification system and plagiarism detection about ancient literatures or art works is proposed because of ancient literatures or art work are important in the aspect of cultural properties control, protecting of author's intellectual property and owner's property estimation.

• Journal of the Korean Society of Manufacturing Process Engineers
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• v.16 no.3
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• pp.45-53
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• 2017

Disc harrow-type composite working implements of tractors are able to work almost 15km/hr. Soil reversing and plowing of agricultural fields are thereby faster than the existing rotavator speed of 2.5 km/h. In Korea, its supply process is being delayed because of the traditional tillage method of rotavator plowing operations. To develop products suitable for the domestic environment, an analysis and inspection was performed on the products of advanced specifications. 3D modeling was performed on main parts and frames using 3D scanner.

• Proceedings of the Korean Society of Machine Tool Engineers Conference
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• 2003.10a
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• pp.164-169
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• 2003

The purpose of this study is to develop a practical image inspect ion system that could recognize it correctly, endowing flexibility to the productive field, although the same object for work will be changed in the size and rotated. In this experiment, it selected a fighter, rotating the direction from 30$^{\circ}$ to 45 simultaneously while changing the size from 1/4 to 1/16, as an object inspection without using another hardware for exclusive image processing. The invariant moments, Hu has suggested, was used as feature vector moment descriptor. As a result of the experiment, the image inspect ion system developed from this research was operated in real-time regardless of the chance of size and rotation for the object inspection, and it maintained the correspondent rates steadily above from 94％ to 96％. Accordingly, it is considered as the flexibility can be considerably endowed to the factory automat ion when the image inspect ion system developed from this research is applied to the product ive field.

• Proceedings of the KSR Conference
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• 2010.06a
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• pp.1335-1344
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• 2010

Urban railroad is the central axis of public transportation which transport the citizens quickly and safely. The idea of the maintenance of urban railroad cars is preventive maintenance aiming at breakdown prevention, and it should be performed conforming to the fixed regulations and maintenance guide. The accuracy of maintenance and the punctuality of rolling stock operation could be secured by reliable inspection equipments. In this study, a scientific maintenance and safe operation of rolling stocks & a method of improving work efficiency will be examined through the case that Busan Urban Railroad has developed its own vehicle inspection equipment and has been making good use of it.

• Journal of the Korean Society for Nondestructive Testing
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• v.26 no.1
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• pp.30-39
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• 2006

Feasibility is studied for an application of the mass-spring lattice model (MSLM), a numerical model previously developed for unidirectional composites, to the numerical simulation of ultrasonic inspection of austenitic welds modeled as transversely isotropic. Fundamental wave processes, such as propagation, reflection, refraction, and diffraction of ultrasonic waves in such an inspection are simulated using the MSLM. All numerical results show excellent agreement with the analytical results. Further, a simplified model of austenitic weld inspection has been successfully simulated using the MSLM. In conclusion, a great potential of the MSLM in numerically simulating ultrasonic inspections of austenitic welds has been manifested in this work, though significant further efforts will be required to develop a model with field practicality.

• Journal of Biosystems Engineering
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• v.23 no.6
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• pp.621-628
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• 1998

In order to develop an inspection algorithm for an automatic eggshell inspection system, acoustic impulse response with neural network method was studied. An improved error backpropagation algorithm was selected as a loaming rule of neural network, and three layer network was chosen for the neural network architecture. Acoustic signals in time domain and theirs power spectrum were studied as the input to the neural network. The classification feasibility and success rate were investigated in terms of statistical analysis and neural network approach. As a result, the success rate was 95% with the statistical model having five independent variables. Among the neural network models studied, the power spectrum of acoustic signal as the input with 64 input neurons and the two impact data showed the success rate of 95.5% which was slightly higher than of statistical analysis.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2014.10a
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• pp.545-547
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• 2014

The portable vibration signal-based pipe wall thinning inspection device was developed in this work. Compared to wall-thinning detection using conventional ultrasonic thickness measurement gauge, the proposed device can estimate average wall thickness of wide range and be applied to in-service pipes. The measurement principle of the device was briefly described and the configrations of hardware and software were explained. It was shown that the device can gauge average wall-thickness of test specimens with high precision.

• Journal of the Korean Society for Nondestructive Testing
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• v.30 no.3
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• pp.207-211
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• 2010

In this paper, the fluid AID(acoustic inspection device) was developed to measure SOS(speed of sound) since fluids used in most of industrial fields have different properties and its equipment is highly expensive. From AID developed, it is intended to get potentially the capability to distinguish the kind of fluid using the measurement by the SOS at various fields. In order to measure the sound speed of specific fluids, the measurement system and ultrasonic sensors are composed. The fluid used in the experimental work are soybean oil, glycerin, diesel oil and the error of time difference due to the container wall is extracted for preliminary experiment. As results, the variations of sound speed according to the temperature change of target fluid were analyzed and the polynomial equations were proposed.