• Title/Summary/Keyword: 특이치

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Quality Changes during Storage of Low Salt Fermented Anchovy treated with High Hydrostatic Pressure (초고압 처리한 멸치젓의 저장 중 품질 변화)

  • Lim, Sang-Bin;Jwa, Mi-Kyung;Mok, Chul-Kyoon;Woo, Gun-Jo
    • Korean Journal of Food Science and Technology
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    • v.32 no.2
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    • pp.373-379
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    • 2000
  • Low salt fermented anchovy was stored at $25^{\circ}C$ for a period of 20 days from the time of ultra-high pressure treatment under different operating conditions, such as magnitude of pressure($(200{\sim}500\;MPa)$, temperature$(20{\sim}50^{\circ}C)$ and treatment time$(5{\sim}20\;min)$ with viable cell count(VCC) and quality assessments conducted at regular intervals. VCC decreased logarithmically during storage. Lower values of VCC in the treated samples were observed compared to the untreated. A gradual increase in peroxide value was noticed during storage, compared to those of the untreated which showed a sudden rise. Thiobarbituric acid value decreased initially and remained at that level before rising almost exponentially between 12 and 20 days. Volatile basic nitrogen increased gradually during storage. Amino nitrogen remained almost constant up to 20 days, regardless of any conditions investigated. High pressure treatment maintained better quality during storage at $25^{\circ}C$ by reducing the viable cell count in low salt fermented anchovy.

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Deep Learning Algorithm and Prediction Model Associated with Data Transmission of User-Participating Wearable Devices (사용자 참여형 웨어러블 디바이스 데이터 전송 연계 및 딥러닝 대사증후군 예측 모델)

  • Lee, Hyunsik;Lee, Woongjae;Jeong, Taikyeong
    • Journal of Korea Society of Industrial Information Systems
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    • v.25 no.6
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    • pp.33-45
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    • 2020
  • This paper aims to look at the perspective that the latest cutting-edge technologies are predicting individual diseases in the actual medical environment in a situation where various types of wearable devices are rapidly increasing and used in the healthcare domain. Through the process of collecting, processing, and transmitting data by merging clinical data, genetic data, and life log data through a user-participating wearable device, it presents the process of connecting the learning model and the feedback model in the environment of the Deep Neural Network. In the case of the actual field that has undergone clinical trial procedures of medical IT occurring in such a high-tech medical field, the effect of a specific gene caused by metabolic syndrome on the disease is measured, and clinical information and life log data are merged to process different heterogeneous data. That is, it proves the objective suitability and certainty of the deep neural network of heterogeneous data, and through this, the performance evaluation according to the noise in the actual deep learning environment is performed. In the case of the automatic encoder, we proved that the accuracy and predicted value varying per 1,000 EPOCH are linearly changed several times with the increasing value of the variable.

Analysis of the Environmental Impact of the Multi-Functional Administrative City and the Establishment of the Evaluation Index after Residence (행정중심복합도시 환경영향 분석 및 거주 후 평가 지표수립에 관한 연구)

  • Lee, Kyu-Hyup;Jeon, Byeong-Cheol;Chung, Su-Wan;Kwon, Soon-wook
    • The Journal of the Korea Contents Association
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    • v.22 no.3
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    • pp.500-512
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    • 2022
  • Post-Occupancy Evaluation (POE), which is one of the construction environment evaluation methods, is a series of processes that ask about the functional requirements and satisfaction of an object from a life cycle perspective such as design/construction/residence. However, there are no POE research activities targeting large-scale units. On the other hand, large-scale third-phase new towns are being developed. Therefore, this study conducted a post-residence evaluation (POE) research activity in a large-scale unit (Multifunctional Administrative City). The procedure of this study is to conduct a literature survey on the current status and implications of the multi-functional administrative city area, and based on the research data, derive the Happy City evaluation index for the major issues and special issues of the Happy City. Afterwards, 450 questionnaires were conducted for the residents of Happy City, and POE analysis was performed on the derived data for each module. And based on the analysis results, implications such as problems and improvement points for the current status of the Happy City were derived. This can be used as a basis for the expansion of a large-scale new city into a self-sufficient city, and it can be used as a basic data for the development and improvement of a happy city that meets social needs in the future.

Generative optical flow based abnormal object detection method using a spatio-temporal translation network

  • Lim, Hyunseok;Gwak, Jeonghwan
    • Journal of the Korea Society of Computer and Information
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    • v.26 no.4
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    • pp.11-19
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    • 2021
  • An abnormal object refers to a person, an object, or a mechanical device that performs abnormal and unusual behavior and needs observation or supervision. In order to detect this through artificial intelligence algorithm without continuous human intervention, a method of observing the specificity of temporal features using optical flow technique is widely used. In this study, an abnormal situation is identified by learning an algorithm that translates an input image frame to an optical flow image using a Generative Adversarial Network (GAN). In particular, we propose a technique that improves the pre-processing process to exclude unnecessary outliers and the post-processing process to increase the accuracy of identification in the test dataset after learning to improve the performance of the model's abnormal behavior identification. UCSD Pedestrian and UMN Unusual Crowd Activity were used as training datasets to detect abnormal behavior. For the proposed method, the frame-level AUC 0.9450 and EER 0.1317 were shown in the UCSD Ped2 dataset, which shows performance improvement compared to the models in the previous studies.

A Study on the Development of Board Games in 'Nonsan, Finding Lost Treasure' ('논산, 잃어버린 보물을 찾아서' 보드게임 개발 연구)

  • Lim, Ji-Won;Hwang Bo, Hyung-Ho;Lee, Gi-Yeon;Song, A-Reum;Kim, Kyu-Rim;Kim, Byung-Kuk
    • Journal of Korea Entertainment Industry Association
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    • v.15 no.8
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    • pp.457-464
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    • 2021
  • This study is a study on the development of board games using local cultural contents. As a prior study related to this study, basic research on board game development, research on cultural products based on cultural heritage, and storytelling development research using local cultural and tourism resources were considered. Among them, for the main purpose of board games and development process, discussions were conducted on the research methodology of Lee Dae-woong and Oh Seung-taek (2004). As a result, it was possible to successfully proceed with planning meetings, proposal preparation, board game design, board game 3D graphic production process, and prototype development. What is peculiar is that characters (dried persimmons, strawberries, jujube, and salted seafood) containing Nonsan's unique regional characteristics were searched and utilized. In addition, major cultural heritages such as Donamseowon Confucian Academy and Gwanchoksa Temple, designated as Nonsan-si cultural properties, were combined with important treasure hunt contents of board games to enhance interest and education at the same time. The theme of this paper, Nonsan, Finding Lost Treasure, is a new educational alternative that can solve the problems of computer games, and has the advantage of having the nature of community leisure play, not individual play. Based on this board game development research in the future, we intend to expect the results of game production using cultural elements from other regions.

Investigation of Antibody Titers after Inoculation with Commercial Equine Influenza Vaccines in Thoroughbred Yearlings (Thoroughbred 1세말에서 상업용 말 인플루엔자 백신접종 후 항체역가 추적)

  • Yang, J.H.;Park, Y.S.
    • Journal of Practical Agriculture & Fisheries Research
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    • v.20 no.1
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    • pp.89-96
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    • 2018
  • The object of this study was to evaluate the change of antibody titers on virus strains after inoculation with commercial killed equine influenza (EI) vaccines in horses. Serum antibodies of 20 Thoroughbred yearlings were detected using hemagglutination inhibition test for 41 weeks. Second vaccination is inoculated 4 weeks after the initial vaccination. Most of antibody titers were not increased until 4 weeks after first vaccination. The highest titers were detected 6-10 weeks after vaccination. The titers were decreased slowly and maintained for 16 weeks after inoculation. We could barely detect the antibody 41 weeks after vaccination in most cases. Vaccine anergia were appeared in 3 horses (15%) but it depended on virus strains. A/Equine/La Plata/93(H3N8) strain that induce high and durable antibody responses was the most effective among three strains. This study presents the first comprehensive data on the endurance of antibody titers against EI. Our data also suggests that yearlings should be inoculated three times in order to maintaining optimal antibody titers against EI. We speculate the causes of anergia were vaccine break down or individual specificity. Further research is needed to investigate immunological unresponsiveness. This was the first study on strain of equine vaccine in Korea.

Analyzing K-POP idol popularity factors using music charts and new media data using machine learning (머신러닝을 활용한 음원 차트와 뉴미디어 데이터를 활용한 K-POP 아이돌 인기 요인 분석)

  • Jiwon Choi;Dayeon Jung;Kangkyu Choi;Taein Lim;Daehoon Kim;Jongkyn Jung;Seunmin Rho
    • Journal of Platform Technology
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    • v.12 no.1
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    • pp.55-66
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    • 2024
  • The K-POP market has become influential not only in culture but also in society as a whole, including diplomacy and environmental movements. As a result, various papers have been conducted based on machine learning to identify the success factors of idols by utilizing traditional data such as music and recordings. However, there is a limitation that previous studies have not reflected the influence of new media platforms such as Instagram releases, YouTube shorts, TikTok, Twitter, etc. on the popularity of idols. Therefore, it is difficult to clarify the causal relationship of recent idol success factors because the existing studies do not consider the daily changing media trends. To solve these problems, this paper proposes a data collection system and analysis methodology for idol-related data. By developing a container-based real-time data collection automation system that reflects the specificity of idol data, we secure the stability and scalability of idol data collection and compare and analyze the clusters of successful idols through a K-Means clustering-based outlier detection model. As a result, we were able to identify commonalities among successful idols such as gender, time of success after album release, and association with new media. Through this, it is expected that we can finally plan optimal comeback promotions for each idol, album type, and comeback period to improve the chances of idol success.

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Analysis of Observer Agreement in Shear Wave Elastography using a Breast Phantom (유방 팬텀을 활용한 전단파 탄성초음파 검사에서의 관측자 일치도 분석)

  • Jin-Hee Kim;Jung-Hoon Kim;Sung-Hee Yang
    • Journal of the Korean Society of Radiology
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    • v.18 no.4
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    • pp.355-363
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    • 2024
  • This study evaluated the clinical utility of Shear Wave Elastography(SWE) by analyzing the differences in elastic modulus and shear wave speed across various types of breast tissue and assessing inter-observer agreement. A breast phantom that included normal breast tissue, benign tumors, and malignant tumors was utilized, and ten radiologists participated, measuring the minimum, average, and maximum elastic modulus and shear wave speed for each tissue type. Analysis of differences between tissues was conducted using one-way ANOVA, and intra- and inter-observer agreement was assessed using the Intraclass Correlation Coefficient(ICC). The results demonstrated significant differences in the average values of elastic modulus and shear wave speed among the tissue types(p<0.001), with malignant tumor tissues showing the highest average values. Furthermore, the ICC analysis for elastic modulus ranged from 0.75 to 0.99 and for shear wave speed from 0.89 to 0.99, indicating high reproducibility and agreement. These findings suggest that SWE is a reliable tool with high reproducibility and specificity for the diagnosis of breast cancer.

Clinical Manifestations and Gene Analysis of Patients with Benign Hyperphenylalaninemia (양성 고페닐알라닌혈증 환자에 대한 임상적 고찰과 유전자 분석)

  • Lee, Jeongeun;Lee, Jeongho;Lee, Dong Hwan
    • Journal of The Korean Society of Inherited Metabolic disease
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    • v.16 no.2
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    • pp.79-85
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    • 2016
  • Purpose: This study aimed to analyze genetic mutations, clinical manifestations, and treatment of patients with benign HPA in Korea. Methods: This case series study involved ten HPA patients who were referred to our hospital because of high phenylalanine concentration. We investigated their demographic features, clinical manifestations, and mutations of the PAH gene through direct DNA sequencing. Results: Among ten patients with benign HPA, two pairs of patients were related (father-daughter, mother-daughter relationship) cases, and all of them showed no specific clinical manifestations or notable past history. Their plasma phenylalanine levels ranged between 1.2 and 4.2 mg/dL. In the tetrahydrobiopterin (BH4) loading test, all patients were nonresponsive to BH4. In the confirmation test of PAH mutation analysis, we identified eleven different alleles out of twelve. The most common allele was R53H (c.158G> A). In addition, two novel PAH gene mutations, V423A (c.1268T>C) and V51A (c.152T>C), were identified. Although the patients did not receive any pharmacologic treatment or continuous phenylalanine restriction dietary therapy, their neurocognitive development was normal. Moreover, on serial outpatient follow-up tests, all patients maintained phenylalanine levels below 6 mg/dL. Conclusion: This study is the first in Korea to analyze benign HPA patients. All patients with benign HPA could maintain phenylalanine levels below 6 mg/dL with normal neurocognitive development, without continuous therapy. Therefore, performing mutation analysis and distinguishing benign HPA from phenylketonuria (PKU) are important to help improve life quality in patients with benign HPA by avoiding unnecessary lifelong therapy.

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Diagnostic Value of Dipstick Urinalysis (Leukocyte Esterase and Nitrite) as a Screening Test for Urinary Tract Infection in Acute Febrile Children (급성 발열 환아에서 요로감염 선별검사로서 Dipstick 요분석(Leukocyte esterase와 Nitrite)의 진단적 가치)

  • Hwang Soo-Ja;Park So-Young;Kim Hye-Soon;Park Eun-Ae;Kim Ho-Sung;Seo Jung-Wan;Lee Seung-Joo
    • Childhood Kidney Diseases
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    • v.2 no.1
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    • pp.1-8
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    • 1998
  • Purpose : To evaluate the diagnostic value of dipstick urinalysis($Multistix^{(R)}$) as a screening test for urinary tract infection(UTI) in acute febrile children. Methods : We compared dipstick uinalysis (leukocyte estease(LE) and nitrite) with microscopic urinalysis (WBC and bacteria) and urine culture in 80 children with UTI and 605 children without UTI, who were admitted due to acute fever at EWHA Womans University Hospital between Oct. 1994 and Feb. 1996. Results : 1) In dipstick urinalysis, LE and nitrite were positive in 38.7%, and 13.8% of 80 children with UTI and in 2.1%. and 1.2% of 605 children without UTI. 2) In microscopic urinalysis, WBC and bacteria were positive in 31.2%, and 17.5% of 80 children with UTI and in 4.1%, and 0.6% of 605 children without UTI. 3) Positive rate of LE on dipstick urinalysis was 38.7%, which was significantly higher than 31.5% of WBC on microscopic urinalysis (P<0.05). Positive rate of nitrite was not significantly different to that of bacteria. 4) Sensitivity, specificity, positive predictive value, negative predictive value of dipstick urinalysis were 43.7%, 98.3%, 63.6%, 92.9% which were not significant different to 40.0%, 99.0%, 54.0%, 92.3% of microscopic urinalysis. The sensitivity of combined dipstick and microscopic urinalysis were still low(50%). 5) Additional positive rate of microscopic urinalysis to negative dipstick urinalysis was 6.3%(5/80) in 80 children with UTI. Conclusion : The sensitivity of dipstick urinalysis was low and additional value of microscopic urinalysis was minimal in febrile UTI. So urine culture is mandatory in acute febrile children even though dipstick and microscopic urinalysis are negative.

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