• Bulletin of the Korean Chemical Society
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• v.24 no.11
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• pp.1627-1631
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• 2003

Molecular modeling was performed to comprehend the chiral recognition of ${\alpha}$-methoxy-${\alpha}$-trifluoromethylphenylacetic acid (MTPA) enantiomers by cyclomaltoheptaose (${\beta}$-cyclodextrin,${\beta}$-CD) and 6-amino-6-deoxy-cyclomaltoheptaose (am-${\beta}$-CD). Monte Carlo (MC) docking coupled to constant temperature molecular dynamics (MD) simulations was applied to the investigation for the ${\alpha}$-methoxy-${\alpha}$-trifluoromethylphenylacetic acid complexation with two different CDs in terms of the relative distribution of the interaction energies. The calculated results are finely correlated with the experimental observations in chiral recognition thermodynamics. Am-${\beta}$-CD as a host showed the superior enantio-discrimination ability to the native ${\beta}$-CD where the amino group of am-${\beta}$-CD was critically involved in enhancing the ability of chiral discrimination via the Coulombic interaction with MTPA.

• Journal of Microbiology and Biotechnology
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• v.19 no.9
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• pp.911-917
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• 2009

The apoptotic caspases have been classified in accordance with their substrate specificities, as the optimal tetrapeptide recognition motifs for a variety of caspases have been determined via positional scanning substrate combinatorial library technology. Here, we focused on two proteolytic recognition motifs, DEVD and IETD, owing to their extensive use in cell death assay. Although DEVE and IETD have been generally considered to be selective for caspase-3 and -8, respectively, the proteolytic cleavage of these substrates does not display absolute specificity for a particular caspase. Thus, we attempted to monitor the cleavage preference for caspase-3, particularly using the recombinant protein substrates. For this aim, the chimeric GST:DEVD:EGFP and GST:IETD:EGFP proteins were genetically constructed by linking GST and EGFP with the linkers harboring DEVD and IETD. To our best knowledge, this work constitutes the first application for the monitoring of cleavage preference employing the recombinant protein substrates that simultaneously allow for mass and fluorescence analyses. Consequently, GST:IETD:EGFP was cleaved partially in response to caspase-3, whereas GST:DEVD:EGFP was completely proteolyzed, indicating that GST:DEVD:EGFP is a better substrate than GST:IETD:EGFP for caspase-3. Collectively, using these chimeric protein substrates, we have successfully evaluated the feasibility of the recombinant protein substrate for applicability to the monitoring of cleavage preference for caspase-3.

• Journal of Korean Society of Rural Planning
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• v.25 no.4
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• pp.1-11
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• 2019

This study conducted a survey on the recognition and demand such as recognition level, policy necessity, service demand and policy demand by supply types in order to provide the basic data for successful settlement of agro-healing services. According to the survey on awareness, 45.2% of respondents were aware of the healing farming, and 31.3% of respondents had experience in participating in the agro-healing services. 63.6% of respondents replied that they were experiencing reasons for participating in agro-healing services. Respondents who had no knowledge of agro-healing services responded that 76.7% of respondents said they would not participate. More than two-thirds of respondents in all types indicated that they needed agro-healing services. As a result of evaluating the maximum willingness to pay, there was a willingness to pay for farm work healing about 15,800 won, horticulture healing about 14,800 won, forest healing about 13,400 won, and animal assisted healing about 17,000 won. Improving accessibility and strengthening awareness were high priorities for inconveniences and improvements. 70.1% of the respondents said that policies for agro-healing services are needed. Development of agro-healing programs and contents was the first priority for support policy. The result of this study is expected to provide reference data that can be suggested for agro-healing policy establishment.

• Proceedings of the Korean Society for Bio-Environment Control Conference
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• 1994.05a
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• pp.98-101
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• 1994

표고는 다른 농산물에 비하여 품질등급을 결정하는 외관 특징들이 갓의 전후면에 걸쳐 복잡하게 분포하고 있어 자동 선별장치를 구현하기 위해서는 갓의 전후면 인식과 아울러 외관특징을 검출해야 한다. 특히 건조 표고의 경우 갓 바깥으로 튀어나온 꼭지부의 존재 여부 및 상태가 갓의 크기, 모양 및 후면 내피의 말린 정도를 검색하는 데 큰 영향을 미친다. (중략)

• The Journal of the Acoustical Society of Korea
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• v.22 no.1E
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• pp.43-48
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• 2003

The effects of linear acoustic channels have been analyzed and compensated at mel-frequency feature domain. Unlike popular RASTA filtering our approach incorporates separate filters for each mel-frequency band, which results in better recognition performance for heavy-reverberated speeches.

• The Journal of the Acoustical Society of Korea
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• v.22 no.4E
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• pp.150-154
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• 2003

The distortion effects of microphones have been analyzed and compensated at mel-frequency feature domain. Unlike popular bias removal algorithms a linear transformation of mel-frequency spectrum is incorporated. Although a diagonal matrix transformation is sufficient for medium-quality microphones, a full-matrix transform is required for low-quality microphones with severe nonlinearity. Proposed compensation algorithms are tested with HTIMIT database, which resulted in about 5 percents improvements in recognition rate over conventional CMS algorithm.

• Proceedings of the KIEE Conference
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• 2004.11c
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• pp.187-189
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• 2004

This paper presents the system widely used for extraction of human body recognition system in the field of bio-metric identification. The Human body recognition system is used in many fields. This biological is appled to the human recognition in banking and the access control with security. The important algorithm of the identification software usese hand lines and hand shape geometry. We used the simple algorithm and recognizing the person by their hand image from the input camera. The geometrical characteristics in hand shape such as length of finger to whole hand length thickness of finger to length, etc are used.

• Biomolecules & Therapeutics
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• v.24 no.4
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• pp.433-437
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• 2016

Consumption of high doses of ethanol can lead to amnesia, which often manifests as a blackout. These blackouts experienced by ethanol consumers may be a major cause of the social problems associated with excess ethanol consumption. However, there is currently no established treatment for preventing these ethanol-induced blackouts. In this study, we tested the ethanol extract of the roots of Salvia miltiorrhiza (SM) for its ability to mitigate ethanol-induced behavioral and synaptic deficits. To test behavioral deficits, an object recognition test was conducted in mouse. In this test, ethanol (1 g/kg, i.p.) impaired object recognition memory, but SM (200 mg/kg) prevented this impairment. To evaluate synaptic deficits, NMDA receptor-mediated excitatory postsynaptic potential (EPSP) and long-term potentiation (LTP) in the mouse hippocampal slices were tested, as they are known to be vulnerable to ethanol and are associated with ethanol-induced amnesia. SM (10 and $100{\mu}g/ml$) significantly ameliorated ethanol-induced long-term potentiation and NMDA receptor-mediated EPSP deficits in the hippocampal slices. Therefore, these results suggest that SM prevents ethanol-induced amnesia by protecting the hippocampus from NMDA receptor-mediated synaptic transmission and synaptic plasticity deficits induced by ethanol.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.6
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• pp.859-864
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• 2022

Drowsy driving, one of the biggest causes of traffic accidents every year, is accompanied by various factors. As a general method to check whether or not there is drowsiness, a method of identifying a driver's expression and driving pattern, and a method of analyzing bio-signals are being studied. This paper proposes a driver fatigue detection system using deep learning technology and bio-signal measurement technology. As the first step in the proposed method, deep learning is used to detect the driver's eye shape, yawning presence, and body movement to detect drowsiness. In the second stage, it was designed to increase the accuracy of the system by identifying the driver's fatigue state using the pulse wave signal and body temperature. As a result of the experiment, it was possible to reliably determine the driver's drowsiness and fatigue in real-time images.

• Asian-Australasian Journal of Animal Sciences
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• v.18 no.8
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• pp.1194-1198
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• 2005

A computer vision system was designed and validated to recognize an individual Holstein cattle by processing images of their body patterns. This system involves image capture, image pre-processing, algorithm processing, and an artificial neural network recognition algorithm. Optimum management of individuals is one of the most important factors in keeping cattle healthy and productive. In this study, an image-processing system was used to recognize individual Holstein cattle by identifying the body-pattern images captured by a charge-coupled device (CCD). A recognition system was developed and applied to acquire images of 49 cattles. The pixel values of the body images were transformed into input data comprising binary signals for the neural network. Images of the 49 cattle were analyzed to learn input layer elements, and ten cattles were used to verify the output layer elements in the neural network by using an individual recognition program. The system proved to be reliable for the individual recognition of cattles in natural light.