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Physiological Characteristics and ACE Inhibitory Activity of Lactobacillus zeae RMK354 Isolated from Raw Milk (원유에서 분리한 Lactobacillus zeae RMK354의 생리적 특성 및 ACE 억제능)

  • Lim, Sang-Dong;Kim, Kee-Sung;Do, Jeong-Ryong
    • Food Science of Animal Resources
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    • v.28 no.5
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    • pp.587-595
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    • 2008
  • In order to develop a new starter for fermented milk, 1037 bacterial strains were isolated from raw milk. The strain that showed excellent acid producing and angiotensin converting enzyme (ACE) inhibitory activity (88.6%) was selected and identified as a Lactobacillus zeae based on the result of API carbohydrate fermentation pattern and 16S rDNA sequence. Lactobacillus zeae RMK354 was investigated further to study its physiological characteristics. It showed strong ACE inhibitory activity compared with commercial LAB starters tested. The optimum growth temperature of L. zeae RMK354 was $40^{\circ}C$ and it took 10 hr to reach pH 4.3 under this condition. L. zeae RMK354 showed more sensitive to penicillin-G, bacitracin, novobiocin, in a comparison of 14 different antibiotics, and showed most resistance to polymyxin B and vancomycin. It showed higher esterase and leucine arylamidase activities compared with 16 other enzymes. It was comparatively tolerant to bile juice and able to survive at pH 2 for 3 hr. It showed inhibitory activity against Salmonella Typhimurium with the rate of 60%. Based on these and previous results, L. zeae RMK354 could be an excellent starter culture for fermented milk with high level of ACE inhibitory activity.

Intelligence and Neuropsychological Tests Findings in Obsessive-Compulsive Disorder (강박장애 환자의 지능과 신경심리검사 소견)

  • Kim, Chan-Hyung;Lee, Sung-Hoon;Kim, Ji-Woong;Lee, Hee-Sang;Kim, Kyung-Hee;Lee, Hong-Shick
    • Sleep Medicine and Psychophysiology
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    • v.5 no.2
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    • pp.194-201
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    • 1998
  • Objectives : This study was aimed to investigate the differences in intelligence and neuropsychological test findings between patients with obsessive-compulsive disorder(OCD) and normal controls, and to find out brain functions. Methods : To examine the brain functions, Halsted Reitan neuropsychological test, computerized neuropsychological test, Wechsler Memory scale and K-WAIS were applied. Subjects of this study consisted of 12 patients with OCD and 17 normal controls who were matched for age, handedness and education year. Results : The verbal intelligence of OCD was significantly higher than that of normal controls. But there was no significant difference in total and performance intelligence between groups. The total time of tactual performance test in OCD was significantly delayed than that in normal controls. Also the visual recall of Wechsler memory scale in OCD was more impaired than that in normal controls. Conclusion : These findings support that visual-spatial memory, which is related to basal ganglia, is impaired in OCD.

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Residual Energy-Aware Duty-Cycle Scheduling Scheme in Energy Harvesting Wireless Sensor Networks (에너지 생산이 가능한 무선 센서 네트워크에서 잔여 에너지 인지 듀티-사이클 스케줄링 기법)

  • Lee, Sungwon;Yoo, Hongseok;Kim, Dongkyun
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.39B no.10
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    • pp.691-699
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    • 2014
  • In order to increase network lifetime, duty-cycle MAC protocols which can reduce energy consumption caused by idle listening is proposed for WSNs. In common duty-cycle MAC protocols, each sensor node calculates its duty-cycle interval based on the current amount of residual energy. However, in WSNs with the capability of energy harvesting, existing duty-cycle intervals based on the residual energy may cause the sensor nodes which have high energy harvesting rate to suffer unnecessary sleep latency. Therefore, a duty-cycle scheduling scheme which adjust the duty-cycle interval based on both of the residual energy and the energy harvesting rate was proposed in our previous work. However, since this duty-cycle MAC protocol overlooked the performance variation according to the change of duty-cycle interval and adjusted the duty-cycle interval only linearly, the optimal duty-cycle interval could not be obtained to meet application requirements. In this paper, we propose three methods which calculate the duty-cycle interval and analyse their results. Through simulation study, we verify that network lifetime, end-to-end delay and packet delivery ratio can be improved up to 23%, 44% and 31% as compared to the existing linear duty-cycle scheduling method, respectively.

The study of analysis film-making style in Stanley Kubrick's film (Focusing on his' film "The Clockwork orange(1971)") (스탠리 큐브릭 감독의 영상 스타일 분석 연구 (그의 영화"시계태엽오렌지(1971)"를 중심으로))

  • Lee, Tae-Hoon
    • Journal of Digital Convergence
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    • v.15 no.9
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    • pp.453-461
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    • 2017
  • The video image in the movie has become more spectacular than ever, and the expression area and the subject have been infinitely expanded, but it can not be said that the range of imagination has expanded. Instead, the 60s and 70s, which were the epochs of popular culture, The film that implements the artististic visual style and expression style of the artist. Stanley Kubrick's "Clockwork Orange", which has been pursuing technological perfection and experimental style, was created using traditional video grammar and gained a great repercussion with outstanding material and high artistic expression technique at that time. These techniques have led audiences to rational observation through irony, rather than emotional sympathy for the situation, for extreme violence and sensational films. This is because the purpose of the director was not to be in technological perfection but to reveal the contradictions of the real society and to reflect on the meaning of the existence of society itself. These creative traditional visual grammar and expression methods are a good visual style that enables the intentionally transmitted message to be transmitted more intensely and effectively, and the artistic depth can be created at the same time by unconsciously perceiving the meaning present on the back to the audience.

A Study on Analysis of Variant Factors of Recognition Performance for Lip-reading at Dynamic Environment (동적 환경에서의 립리딩 인식성능저하 요인분석에 대한 연구)

  • 신도성;김진영;이주헌
    • The Journal of the Acoustical Society of Korea
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    • v.21 no.5
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    • pp.471-477
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    • 2002
  • Recently, lip-reading has been studied actively as an auxiliary method of automatic speech recognition(ASR) in noisy environments. However, almost of research results were obtained based on the database constructed in indoor condition. So, we dont know how developed lip-reading algorithms are robust to dynamic variation of image. Currently we have developed a lip-reading system based on image-transform based algorithm. This system recognize 22 words and this word recognizer achieves word recognition of up to 53.54%. In this paper we present how stable the lip-reading system is in environmental variance and what the main variant factors are about dropping off in word-recognition performance. For studying lip-reading robustness we consider spatial valiance (translation, rotation, scaling) and illumination variance. Two kinds of test data are used. One Is the simulated lip image database and the other is real dynamic database captured in car environment. As a result of our experiment, we show that the spatial variance is one of degradations factors of lip reading performance. But the most important factor of degradation is not the spatial variance. The illumination variances make severe reduction of recognition rates as much as 70%. In conclusion, robust lip reading algorithms against illumination variances should be developed for using lip reading as a complementary method of ASR.

A Study on character create of Animation (애니메이션 캐릭터 설정 요소 분석)

  • Lim, Woon-Joo
    • Journal of Digital Convergence
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    • v.10 no.11
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    • pp.659-664
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    • 2012
  • This research has chosen the animation character creation as a part of research for effective communication with audience due to the character taste getting diversity. The way of characters creation in this research suggest as follows. First, animation character action and a way of thinking, which makes regulation factor is a global outlook. It expresses a outer factors include appearance, style, action, facial expressions, tone of voice, hobbies, occupation, status and internal factors shows nature, conception, culture. Second, the given condition of general tendency of animation character, Cultural background, and Key characteristics and experiences is built up by global outlook. Third, the attractive of animation character show up the familiarity, originality, fun, various senses, and flexibility. Fourth, it is harmony of new global outlook and character. The establishment of animation character is that the familiarity which is easy approach to audience with special global outlook, the originality which is different from other works, fun with laugh, at different times in different ways to interact with more flexibility, various sense to be delivered to audience for easy setting is the most desirable.

Effects of Long Term Care Hospital Care-givers' Fall Prevention Self Efficacy and Fall Prevention Health Belief on Fall Prevention Awareness (요양병원 간병사의 낙상예방효능감과 낙상예방건강신념이 낙상예방인지도에 미치는 영향)

  • Jung, Ji-Young;Park, Yoon-Ji;Jung, Gye Hyun
    • The Journal of the Korea Contents Association
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    • v.15 no.2
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    • pp.333-343
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    • 2015
  • The purpose of this study is to investigate the factors that affect the fall prevention awareness of care-givers working at long-term care hospitals. A convenience sampling method was used to select care-givers who worked at 7 different long term care hospitals which were located in D city and N city. Data were collected from July 2014 to August 2014. 200 data were used for analysis out of 215 data which were collected. The hierarchical regression analysis reveals the following results: Firstly, the effects of care-givers' education level, certificate status, period of work experience and fall-related learning hours on their fall prevention awareness level were statistically significant. Secondly, among fall prevention health beliefs, perceived benefit, perceived disability, perceived sensitivity and self-efficacy were positively related to the level of fall prevention awareness. Thirdly, while such factors as perceived benefit, perceived sensitivity and self-efficacy showed positive effects on the fall prevention awareness, the period of work experience had negative effects. The regression model shows the power of explanation of 31.7 percents. In conclusion, the study suggests a fine-tuned program to improve care-givers' fall prevention awareness in a way of promoting fall prevention self-efficacy, perceived benefits and perceived sensitivity while considering the care-givers' period of work experience.

Studies on the Analysis of Physiological and Antimicrobial Activity of Wheat Germ (밀 배아의 생리 활성 물질 및 항균 활성 분석에 관한 연구)

  • Choi, Bong-Soon;Kang, Kun-Og
    • Journal of the East Asian Society of Dietary Life
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    • v.19 no.4
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    • pp.585-592
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    • 2009
  • The objectives of this study were to analyze the physiological and antimicrobial activities of wheat germ. The fatty acid components of the wheat germ included palmitic, stearic, oleic, linoleic, and linolenic acids. Furthermore, the acid value was 8.5, the peroxide value was 7.1, the iodine value was 126.8, the saponification value was 159.7, and the refractive index was 1.547. In the unsaponifiable matter, the total phenol concentration extracted by ethanol, along with physiological activity were 2.02% and 0.45%, respectively, and the amount of flavonoids and activity were 6.89% and 6.90%, respectively. The amount of flavonoids was larger than the phenol concentration in the wheat germ. In addition, the nitritescavenging ability of the wheat germ was lower than ascorbic acid but greater than BHT and tocopherol. The peroxide value in the linoleic acid changed over 5 days, presenting as 0.67, 22.70, 44.25, 5.81, and 91.17 meq/kg, and increases were also consistently shown as time passed for the ethanol extractions and unsaponifiable. Additional data showed that antimicrobial effects could not be detected in the wheat germ concentration or method of extraction.

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Development of Learning Algorithm using Brain Modeling of Hippocampus for Face Recognition (얼굴인식을 위한 해마의 뇌모델링 학습 알고리즘 개발)

  • Oh, Sun-Moon;Kang, Dae-Seong
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.42 no.5 s.305
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    • pp.55-62
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    • 2005
  • In this paper, we propose the face recognition system using HNMA(Hippocampal Neuron Modeling Algorithm) which can remodel the cerebral cortex and hippocampal neuron as a principle of a man's brain in engineering, then it can learn the feature-vector of the face images very fast and construct the optimized feature each image. The system is composed of two parts. One is feature-extraction and the other is teaming and recognition. In the feature extraction part, it can construct good-classified features applying PCA(Principal Component Analysis) and LDA(Linear Discriminants Analysis) in order. In the learning part, it cm table the features of the image data which are inputted according to the order of hippocampal neuron structure to reaction-pattern according to the adjustment of a good impression in the dentate gyrus region and remove the noise through the associate memory in the CA3 region. In the CA1 region receiving the information of the CA3, it can make long-term memory learned by neuron. Experiments confirm the each recognition rate, that are face changes, pose changes and low quality image. The experimental results show that we can compare a feature extraction and learning method proposed in this paper of any other methods, and we can confirm that the proposed method is superior to existing methods.

Development of Stochastic Downscaling Method for Rainfall Data Using GCM (GCM Ensemble을 활용한 추계학적 강우자료 상세화 기법 개발)

  • Kim, Tae-Jeong;Kwon, Hyun-Han;Lee, Dong-Ryul;Yoon, Sun-Kwon
    • Journal of Korea Water Resources Association
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    • v.47 no.9
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    • pp.825-838
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    • 2014
  • The stationary Markov chain model has been widely used as a daily rainfall simulation model. A main assumption of the stationary Markov model is that statistical characteristics do not change over time and do not have any trends. In other words, the stationary Markov chain model for daily rainfall simulation essentially can not incorporate any changes in mean or variance into the model. Here we develop a Non-stationary hidden Markov chain model (NHMM) based stochastic downscaling scheme for simulating the daily rainfall sequences, using general circulation models (GCMs) as inputs. It has been acknowledged that GCMs perform well with respect to annual and seasonal variation at large spatial scale and they stand as one of the primary sources for obtaining forecasts. The proposed model is applied to daily rainfall series at three stations in Nakdong watershed. The model showed a better performance in reproducing most of the statistics associated with daily and seasonal rainfall. In particular, the proposed model provided a significant improvement in reproducing the extremes. It was confirmed that the proposed model could be used as a downscaling model for the purpose of generating plausible daily rainfall scenarios if elaborate GCM forecasts can used as a predictor. Also, the proposed NHMM model can be applied to climate change studies if GCM based climate change scenarios are used as inputs.