• Journal of Preventive Medicine and Public Health
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• v.40 no.2
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• pp.122-129
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• 2007

During the last decade, genomic cohort study has been developed in many countries by linking health data and genetic data in stored samples. Genomic cohort study is expected to find key genetic components that contribute to common diseases, thereby promising great advance in genome medicine. While many countries endeavor to build biobank systems, biobank-based genome research has raised important ethical concerns including genetic privacy, confidentiality, discrimination, and informed consent. Informed consent for biobank poses an important question: whether true informed consent is possible in population-based genomic cohort research where the nature of future studies is unforeseeable when consent is obtained. Due to the sensitive character of genetic information, protecting privacy and keeping confidentiality become important topics. To minimize ethical problems and achieve scientific goals to its maximum degree, each country strives to build population-based genomic cohort research project, by organizing public consultation, trying public and expert consensus in research, and providing safeguards to protect privacy and confidentiality.

• Proceedings of the KSPS conference
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• 2005.11a
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• pp.59-62
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• 2005

Voice activity detection (VAD) is important in many areas of speech processing technology. Speech/nonspeech discrimination in noisy environments is a difficult task because the feature parameters used for the VAD are sensitive to the surrounding environments. Thus the VAD performance is severely degraded at low signal-to-noise ratios (SNRs). In this paper, a new VAD algorithm is proposed based on the degree of voicing and Quantile SNR (QSNR). These two feature parameters are more robust than other features such as energy and spectral entropy in noisy environments. The effectiveness of proposed algorithm is evaluated under the diverse noisy environments in the Aurora2 DB. According to out experiment, the proposed VAD outperforms the ETSI Advanced Frontend VAD.

• Culinary science and hospitality research
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• v.6 no.3
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• pp.167-192
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• 2000

The purpose of this study is to research consumer's action style. and then to make a marketing strategies. The strategic plan to consumer's action style on the fast-food industry were as follows; First, the group that coefficient of utilization is so frequent and an age is young are requested concentrative or discriminative marketing as the price discrimination and market segementation, the price value of the products value has to manage effectively, Second, establishment of corporate image and improvement of products image are requested. The result of this study, fast-food industry will be needed marketing activities that are discriminative strategies, positioning strategies, education training, and customer management. And system construction that is equivalent to customer needs, and the continuous coustomer studies are requested.

• Journal of Families and Better Life
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• v.8 no.2
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• pp.135-146
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• 1990

The purpose of this study is to investigate the relation between the conflict perceive by daughters-in-law and their coping behavior. The statistical procedures used were frequency, t-test, multiple regression, and factor analysis. The major finding are as follows; 1) The conflict perceived by daughters -in-law is not very high, but , in terms of scolding, discrimination, objection to visiting the parent home there are some conflict found. 2) The coping scale is composed of 9 factors by 27 items and adaptation to reality is the main factor. 3) Collision with mother-in-law, avoidance, self-blame, age, the attitude of mother-in-law about her son's marriage are proved to be influential variables of the degree of the conflict perceived by daughters-in-law. 4) Reanalysis is perhaps the significant coping pattern to improve the relation with mother-in-law.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.05a
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• pp.510-511
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• 2017

In this paper, a study was conducted to prevent spinal - related diseases and to help posture correction by feeding back the wrong attitude to the users. Kinect sensor was used for this purpose. In order to measure the movement of the user, the degree of motion change was measured by indexing the skeletal data coordinate value. It is confirmed that the implemented system can observe not only posture but also distraction of user.

• Communications for Statistical Applications and Methods
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• v.21 no.6
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• pp.501-512
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• 2014

Stylized facts on asset return are fat-tail, asymmetry, volatility clustering and structure changes. This paper simultaneously captures these characteristics by introducing a multi-regime models: Finite mixture distribution and regime switching GARCH model. Analyzing the daily KOSPI return from $4^{th}$ January 2000 to $30^{th}$ June 2014, we find that a two-component mixture of t distribution is a good candidate to describe the shape of the KOSPI return from unconditional and conditional perspectives. Empirical results suggest that the equality assumption on the shape parameter of t distribution yields better discrimination of heterogeneity component in return data. We report the strong regime-dependent characteristics in volatility dynamics with high persistence and asymmetry by employing a regime switching GJR-GARCH model with t innovation model. Compared to two sub-samples, Pre-Crisis (January 2003 ~ December 2007) and Post-Crisis (January 2010 ~ June 2014), we find that the degree of persistence in the Pre-Crisis is higher than in the Post-Crisis along with a strong asymmetry in the low-volatility (high-volatility) regime during the Pre-Crisis (Post-Crisis).

• The Korea Journal of Herbology
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• v.34 no.3
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• pp.19-30
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• 2019

Objectives : This study is to propose the identification keys based on stereoscopic examination of 8 seed herbs in 2 categories (Phyllolobobii Semen (PS) with 4 Astragali Semen (AS), and 2 Lepidii seu Descurainiae Semen (LDS) with 1 Drabae Semen (DS)) which have difficulties in discrimination with visual observation. Methods : We reviewed the description of original plants and their medicinal parts from the literature. The original plants were collected, identified, confirmed as specimens, and compared to the samples distributed in the market. The first identification was made by visual observation, and insufficient points were supplemented by stereoscopic observation. Identification criteria were set by considering morphological characteristics of authentic herbs, percentage of adulterants, and distinction between authentic herbs and adulterants. Results : The original plants of PS and AS could be distinguished by upright or lying form of stem, color of flowers, number of leaflets, and presence of hair of fruits. LDS and DS could be distinguished by leaf arrangement on stem: radical or cauline, whole plants size, leaf division, color of flowers, and shape of fruits. The herbal medicines of PS and AS could be distinguished by seed surface pattern, size, and hardness. LDS and DS could be distinguished by size, shape, viscosity when chewed, and degree of mucous layer formation when soaked in water. Conclusions : This study suggests the identification keys of original plants and herbal medicines. Especially, since fine seed herbs are difficult to distinguish by visual observation, the stereoscope should be applied to the discrimination.

• The Journal of Information Systems
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• v.32 no.1
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• pp.109-146
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• 2023

Purpose With Intelligent public service (IPS), it is possible to automate the quality of civil affairs, provide customized services for citizens, and provide timely public services. However, empirical studies on factors for the successful use of IPS are still insufficient. Hence, the purpose of this study is to empirically analyze the factors that affect the success of IPS with classification function. ISSM (Information System Success Model) is considered as the underlying research model, and how the algorithm quality, data quality, and environmental quality of the discrimination system affect the relationship between utilization intentions is analyzed. Design/methodology/approach In this study, a survey was conducted targeting users using IPS. After giving them a preliminary explanation of the intelligent public service centered on the discrimination system, they briefly experienced two types of IPS currently being used in the public sector. Structural model analysis was conducted using Smart-PLS 4.0 with a total of 415 valid samples. Findings First, it was confirmed that algorithm quality and data quality had a significant positive (+) effect on information quality and system quality. Second, it was confirmed that information quality, system quality, and environmental quality had a positive (+) effect on the use of IPS. Thirdly, it was confirmed that the use of IPS had a positive (+) effect on the net profit for the use of IPS. In addition, the moderating effect of the degree of knowledge on AI, the perceived accuracy of discriminative experience and IPS, and the user was analyzed. The results suggest that ISSM and TOE framework can expand the understanding of the success of IPS.

• Korean Journal of Medicinal Crop Science
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• v.8 no.3
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• pp.243-249
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• 2000

Analysis of random amplified polymorphic DNAs(RAPDs) and internal morphological features were performed using three species of medicinal plants in the genus of Angelica(A. gigas Nakai, A. sinensis(Oliv.) Diels., A. acutiloba Kitagawa) to distinguish between these three species. Fifty decarmer oligonucleotide primers were screened for the RAPDs of the herbal plant species. Five primers generated distinct RAPD markers specific to the species of Angelica, In analysis of the degree of similarity, A. sinensis(Oliv.) Diels is more closely related to A. acutiloba Kitagawa than to A. gigas Nakai. Furthermore, we proved the usefulness of RAPD analysis for the discrimination of the species using dry roots and commercial plant materials. In internal morphology of three species, A. sinensis(Oliv.) Diels seemed to be more specialized in systemic than A. acutiloba Kitagawa and A. gigas Nakai

• The Journal of the Acoustical Society of Korea
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• v.15 no.1E
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• pp.5-19
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• 1996

This paper proposes a loose part monitoring system (LPMS) design with a signal processing method based on fuzzy logic. Considering fuzzy characteristics of metallic impact waveform due to not only interferences from various types of noises in an operating nuclear power plant but also complex wave propagation paths within a monitored mechanical structure, the proposed LPMS design incorporates the comprehensive relation among impact signal features in the fuzzy rule bases for the purposes of alarm discrimination and impact diagnosis improvement. The impact signal features for the fuzzy rule bases include the rising time, the falling time, and the peak voltage values of the impact signal envelopes. Fuzzy inference results based on the fuzzy membership values of these impact signal features determine the confidence level data for each signal feature. The total integrated confidence level data is used for alarm discrimination and impact diagnosis purposes. Through the perpormance test of the proposed LPMS with mock-up structures and instrumentation facility, test results show that the system is effective in diagnosis of the loose part impact event(i.e., the evaluation of possible impacted area and degree of impact magnitude) as well as in suppressing false alarm generation.