• Proceedings of the Membrane Society of Korea Conference
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• 2004.05a
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• pp.65-68
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• 2004

Molecular imprinting, which was first proposed by Wulff and Sarhan in 1972 [1], is a facile way to construct molecular recognition sites by applying a simple radical polymerization [2]. Since 1994, the authors have proposed an alternative molecular imprinting method in which polymeric materials are directly converted into molecular recognition materials [3].(omitted)

• Journal of Korean Home Economics Education Association
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• v.9 no.2
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• pp.31-45
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• 1997

The theoretical rationale and basic materials for the improvement of the recognition on home economics teachers are suggested in this study through the close examination of the teacher’s recognition and its related variables. For this study, review of literature and questionnaire survey were performed. As the results, the following may be suggested. 1. There teachers more experienced and non-majored the home economics or those who finished professional course should be reeducated adequately for new direction of home economics education in secondary school and new curriculum. 2. The development of qualification for home economics teacher and the educational system and program for training preliminary should be try to find a solution to improve the new and positive recognition of home economics education in secondary school. 3. The institutional and environmental conditions, such as pay and welfare facilities, should be improved to satisfy home economics teacher with new view of home economics education in secondary school with their duties. 4. The systematic and concrete teaching programs for contents of improving new recognition of home economics education in secondary school, and for promoting positive self-recognition as home economics teacher, and for training the abilities of developing teaching materials and guiding practical techniques should be developed.

• Journal of Sensor Science and Technology
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• v.31 no.5
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• pp.286-292
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• 2022

As mobile electronics become smarter, higher-level security systems are necessary to protect private information and property from hackers. For this, biometric authentication systems have been widely studied, where the recognition of unique biological traits of an individual, such as the face, iris, fingerprint, and voice, is required to operate the device. Among them, ultrasound fingerprint imaging technology using piezoelectric materials is one of the most promising approaches adopted by Samsung Galaxy smartphones. In this review, we summarize the recent progress on piezoelectric ultrasound micro-electro-mechanical systems (MEMS) transducers with various piezoelectric materials and provide insights to achieve the highest-level biometric authentication system for mobile electronics.

• Korean Journal of Materials Research
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• v.34 no.5
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• pp.235-241
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• 2024

Gas identification techniques using pattern recognition methods were developed from four micro-electronic gas sensors for noxious gas mixture analysis. The target gases for the air quality monitoring inside vehicles were two exhaust gases, carbon monoxide (CO) and nitrogen oxides (NO_x), and two odor gases, ammonia (NH₃) and formaldehyde (HCHO). Four MEMS gas sensors with sensing materials of Pd-SnO₂ for CO, In₂O₃ for NO_X, Ru-WO₃ for NH₃, and hybridized SnO₂-ZnO material for HCHO were fabricated. In six binary mixed gas systems with oxidizing and reducing gases, the gas sensing behaviors and the sensor responses of these methods were examined for the discrimination of gas species. The gas sensitivity data was extracted and their patterns were determined using principal component analysis (PCA) techniques. The PCA plot results showed good separation among the mixed gas systems, suggesting that the gas mixture tests for noxious gases and their mixtures could be well classified and discriminated changes.

• Bulletin of the Korean Chemical Society
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• v.30 no.8
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• pp.1903-1905
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• 2009

• Journal of Broadcast Engineering
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• v.27 no.3
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• pp.391-401
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• 2022

As deep learning-based object detection and recognition research have been developed recently, the scope of application to industry and real life is expanding. But deep learning-based systems in the construction system are still much less studied. Calculating materials in the construction system is still manual, so it is a reality that transactions of wrong volumn calculation are generated due to a lot of time required and difficulty in accurate accumulation. A fast and accurate automatic drawing recognition system is required to solve this problem. Therefore, we propose an AI-based automatic drawing recognition accumulation system that detects and recognizes steel materials in construction drawings. To accurately detect steel materials in construction drawings, we propose data augmentation techniques and spatial attention modules for improving small object detection performance based on YOLOv4. The detected steel material area is recognized by text, and the number of steel materials is integrated based on the predicted characters. Experimental results show that the proposed method increases the accuracy and precision by 1.8% and 16%, respectively, compared with the conventional YOLOv4. As for the proposed method, Precision performance was 0.938. The recall was 1. Average Precision AP_0.5 was 99.4% and AP_0.5:0.95 was 67%. Accuracy for character recognition obtained 99.9.% by configuring and learning a suitable dataset that contains fonts used in construction drawings compared to the 75.6% using the existing dataset. The average time required per image was 0.013 seconds in the detection, 0.65 seconds in character recognition, and 0.16 seconds in the accumulation, resulting in 0.84 seconds.

• Journal of the Korean Society of Food Culture
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• v.19 no.3
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• pp.285-294
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• 2004

Rather than focusing on the general recognition of the area and extensive preference about its native cuisine, this study carried out more practical examination on the recognition of the native cuisine by presenting the more detailed introduction of the native cuisine in Hadong area. The findings of this study can be used as basic materials to devise measures for the instillation and advertisement of Hadong area's image, the development and maintenance of its native cuisine benefiting the activation of the local economy, and the reestablishment of Hadong area's native cuisine culture. First, the overall recognition of Hadong area's native cuisine was low and more consumption needs to be boosted by merchandising its foods through the strengthening of recognition. Second, correlation between this area's native cuisine was revealed and tables need to be set and menus need to be organized with this correlation in mind. Basic materials for suggestion sale were garnered. Third, given that most outside tourists visit Hadong by word mouth of all the information sources available, it is highly likely that positive word of mouth through satisfaction with native cuisine will raise the overall recognition of the area. Fourth, precise subdivision market and target market need to be specified. Though the factors like economic costs and the time required cannot be overlooked in strengthening recognition, consistent advertisement to the middle-aged people who are over 40 and live in Kyungsang-Do area will contribute to the fast rise in the recognition of Hadong area's native cuisine, leading to the possibility of economic development in the process.

• Korean Journal of Metals and Materials
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• v.46 no.3
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• pp.131-134
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• 2008

The magnetism of$Fe_3O_4$ nanoparticles was applied to magnetic bio-panning process for finding specific sequences against $Fe_3O_4$ crystal phase. Vibrating sample magnetometer (VSM) measurement showed that the coercivity of 30 Oe and the saturation magnetization of 55 emu/g were sufficient in controlling particle movement and magnetizing particles in the media, respectively. This ferrimagnetism of nanoparticles practically enhanced panning efficiency by exaggerating centrifuge step and preventing particle loss. Sequencing results showed that histidine which was commonly found in peptide sequences played an important role in the binding onto $Fe_3O_4$ nanoparticle surface. However, various possible motifs were also observed from several neighboring amino acids of histidine.

• Journal of the Korean Society for Precision Engineering
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• v.19 no.1
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• pp.48-55
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• 2002

This paper deals with the sensing ability of the smart sensor that has the sensing ability to distinguish materials according to the input condition changing. This is a study of dynamic characteristics of sensor. We have developed a new signal processing method that can distinguish among different materials. The smart sensor was developed for recognition of materials. Experiments and analysis were executed to estimate ability to recognize objects according to the input condition. First, we developed the advanced smart sensor. Second, we developed the new method, which has the capability sensing of different materials. Dynamic characteristics of the smart sensor were evaluated relatively through a new $R_{SAI}$ method. According to frequency changing, influence of the smart sensor are evaluated through a new recognition index ($R_{SAI}$) that ratio of sensing ability index. Applications of this method are for finding abnormal conditions of objects (auto-manufacturing), feeling of objects (medical product), robotics, safely diagnosis of structure, etc.

• Bulletin of the Korean Chemical Society
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• v.31 no.6
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• pp.1551-1554
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• 2010

Two diastereomeric chiral stationary phases (CSPs) were applied to the liquid chromatographic resolution of various racemic ${\alpha}$-amino methyl esters, ${\alpha}$-amino N,N-diethylamides and ${\alpha}$-amino N-propylamides. The CSP incorporating (R)-3,3'-diphenyl-1,1'-binaphtyl and (R,R)-tartaric acid unit as chiral barriers did not show any chiral recognition. In contrast, the CSP incorporating (R)-3,3'-diphenyl-1,1'-binaphtyl and (S,S)-tartaric acid unit as chiral barriers was found to show excellent chiral recognition especially for the two enantiomers of ${\alpha}$-amino N-propylamides. Some of ${\alpha}$-amino methyl esters and ${\alpha}$-amino N,N-diethylamides were also resolved on the CSP incorporating (R)-3,3'-diphenyl-1,1'-binaphtyl and (S,S)-tartaric acid unit. From these results it was concluded that the two chiral units composing the diastereomeric CSPs can show "matched" or "mismatched" effect on the chiral recognition according to their absolute stereochemistry.