• Title/Summary/Keyword: Racing time

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A Breed Comparison on the Finishing Times of Racehorses (국내 경주마의 주파기록에 대한 품종별 비교 분석)

  • Kong, Hong-Sik;Lee, Hak-Kyo;Park, Kyung-Do;Cho, Byung-Wook
    • Journal of Animal Science and Technology
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    • v.53 no.1
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    • pp.23-27
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    • 2011
  • This study was conducted to provide basic information for the improvement of racing performance of Jeju pony & Halla horse, using the 85,732 racing records collected from Jeju & Kwacheon racecourses from January 1, 2005 to December 31, 2009. During the last 5 years, a total of 2,892 heads of horses were racing at the Jeju racecourse and 11.7% (338 heads) of them were Jeju ponies. The average body weight of Jeju pony and Halla horse were 267 kg & 287 kg, respectively, which were 58% and 62% of that of Thoroughbred (460 kg). The repeatabilities of Jeju pony, Halla horse and Thoroughbred for finishing time were estimated in the range of 0.26-0.66 (average, 0.54), 0.34-0.68 (average, 0.56) and 0.37-0.60 (average, 0.50), respectively, and as the racing distance increased, the repeatabilities decreased. In the racing distance of 1,000 m, the differences in the finishing times between Thoroughbred & Jeju pony, Thoroughbred & Halla horse, and Jeju pony & Halla horse were 24.33 seconds, 10.81 seconds and 13.52 seconds, respectively. The racing performance of Halla horse was improved by 55.6% than that of Jeju pony at the 1,000 m race.

Use of Drones in the cultural industries (드론의 문화산업분야 활용방안에 관한 연구)

  • Yoon, Hongkeun
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.11 no.4
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    • pp.99-112
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    • 2015
  • Drones are more formally known as unmanned aerial vehicles without a human pilot aboard. Its flight is controlled either autonomously by onboard computers or by the remote control of a pilot on the ground. This research aims to analyze market trends and technological developments of drones, use cases and constraints of drones in the cultural industries take advantage of the possibility of future drones. Drones are looking for broadcasting, movie, theater, games, toys drones and racing games in a variety of cultural industry. The biggest problem of drone shall provide penalties for breaches of privacy and security issues in the debate. Drones performances are required such as battery capacity and compactness because of the technical limitations. The drones are expected to be used in various fields such as journalism drone, performance tools, augmented reality games, kidult culture. The drones can create a new cultural industry market such as the combination of robotics and drone journalism, drone crowded theater, utilizing drones character games, racing games etc. In conclusion, drones help reduce manpower, time and costs dramatically and will contribute to creating added value in the cultural industries.

Fuzzy Logic Architecture for Deciding the Ranking at Racing Games (레이싱 게임에서 순위 결정을 위한 퍼지 논리 아키텍처)

  • Lee Se Il
    • Journal of the Korea Society of Computer and Information
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    • v.10 no.1 s.33
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    • pp.133-140
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    • 2005
  • If a Player car precedes from start to the end or a fuzzy car wins every day during computer or racing games, most players will lose their interest in the games soon after several times. In order to solve this Problem and increase amusement at racing games, the more important thing than anything else is decide the ranking. In this thesis, in order to give amusement In racing games, the researcher made a fuzzy car and made it race with player cars. Because the preceding fuzzy car runs ahead of player cars, it can recognize their behaviors according to change of following player cars' speed and distance, and the fuzzy car changes its memory, but doesn't enforce actual behaviors. If the fuzzy car would make decision, it has to do behaviors to compete the ranking on the basis of the contracts it has memorized under the situation where a timer is awarded. In addition, although an accompanying fuzzy car has different contents of memory, it is operated in the same way as mentioned above. At the time of experiments, the researcher applied the actual value to the test program and drew result for ranking competition. In conclusion, the researcher could confirm that we can have modeling of various behaviors by means of the method using fuzzy logic rather than simple if-then method.

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Application of a standardized exercise test by measuring serum lactate concentration in Thoroughbred racehorses (더러브렛 경주마에서 혈청 젖산농도 측정에 의한 표준운동능력검사의 적용)

  • Mun, Kyu-whan;Kim, Joon-gyu;Kim, Byung-sun;Um, Young-ho;Yang, Il-suk
    • Korean Journal of Veterinary Research
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    • v.39 no.6
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    • pp.1081-1090
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    • 1999
  • To establish the protocol of a standardized exercise test for evaluating exercise intolerance and degree of fitness in Thoroughbred racehorses, we examined serum lactate concentrations related to exercise intensities using the high speed treadmill. Twelve clinically healthy Thoroughbred racehorses with or without previous training or racing history were assigned to two gorups, fit and unfit group, respectively. The protocol used for the standardized exercise test was consisted of two stages : stage of warm-up and that of acceleration. During the warm-up, the horses exercised 5 min at 1.8m/s and 3 min 3.4m/s without inclination. At the acceleration stage, exercise test was performed at 10% slope and the speed was increased from the initial 5m/s to the maximal speed which each tested horse could keep up with. The speed was increased with incremental steps of 1 m/s every minute. During the last 15 sec of each step, blood samples were collected for serum lactate determination. $V_{max}$(maximal treadmill speed which tested horses could keep up with) of the fit group ($10.93{\pm}0.33m/s$, mean${\pm}$SE, n = 6) was higher than that of the unfit group ($9.52{\pm}0.23m/s$, mean${\pm}$SE, n = 6). Serum lactate concentrations increased exponentially according to exercise intensities. $V_{La4}$(speed producing a serum lactate concentration of 4mmol/l) of the fit group, $6.45{\pm}0.26m/s$, was higher than that of the unfit group, $5.45{\pm}0.23m/s$. $La_{peak}$(peak plasma lactate concentration during the exercise test) was lower in the fit group ($20.34{\pm}1.62mmol/l$ at 1 min after maximal intensity exercise) than in the unfit group ($24.78{\pm}1.09mmol/l$ at 2 min after maximal exercise step). $t_{50%}$(time required for the recovery of lactate concentration to be one-half of $La_{peak}$ after maximal exercise) of the unfit group and the fit group were 40.0 and 18.0 min, respectively. Therefore, the protocol of the incremental standardized exercise test utilized in this study seems to be reliable for the assessment of fitness and exercise intolerance for the Thoroughbred racehorses.

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Chronic Obstructive Pulmonary Disease in a Dressage Horse (마장마술마에서 발생한 만성폐쇄성폐질환 증례)

  • Jeong, Hyo-Hoon;Ahn, Kei-Myung;Kim, A-Ram;Roh, Ha-Jung;Oh, Tae-Ho
    • Journal of Veterinary Clinics
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    • v.27 no.2
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    • pp.194-197
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    • 2010
  • A 14-year-old gelded dressage horse weighing 500 kg was presented to the Equine Medical Center of the Seoul Racecourse of Korea Racing Authority (KRA) due to coughing and mucopurulent nasal discharge. The horse was initiated with empirical antibiotic in the first place. However, the clinical signs did not improve but were rather exacerbated even after 3 weeks of therapy. Extensive diagnostic procedures including transtracheal wash (TTW) fluid cytology were undertaken. The localized wheezes and crackles were auscultated and an increase in the amount of mucopurulent exudate in trachea was observed at endoscopy. Infiltration of neutrophils was observed in the TTW fluid cytology implying chronic obstructive pulmonary disease (COPD). Therefore, the systemic glucocorticoid therapy was to be given for 3 weeks with improved ventilation provided at the same time. The respiratory symptoms started to improve in 7 days of therapy and were fully resolved by when the therapy was terminated. The horse is clinically normal now and being monitored for development of any signs of chronic obstructive pulmonary disease.

Hematological characteristics and endocrine profiles of cloned dromedary camels (Camelus dromedaries)

  • Young-Bum Son;Mohammad Shamim Hossein;Yeon Ik Jeong;Mina Kang;Huijeong Kim;Yura Bae;Kung Ik Hwang;Alex Tinson;Singh Rajesh;Al Shamsi Noura;Woo Suk Hwang
    • Journal of Animal Reproduction and Biotechnology
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    • v.39 no.1
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    • pp.12-18
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    • 2024
  • Background: Somatic cell nuclear transfer (SCNT) is a prominent technology that can preserve superior genetic traits of animals and expand the population in a short time. Hematological characters and endocrine profiles are important elements that demonstrate the stability of the physiological state of cloned animals. To date, several studies regarding cloned camels with superior genes have been conducted. However, detailed hemato-physiological assessments to prove that cloned camels are physiologically normal are limited. In this study, We evaluated the hemato-physiological characteristics of cloned male and female dromedary camels (Camelus dromedaries). Methods: Therefore, we analyzed variations in hematological characteristics and endocrine profiles between cloned and non-cloned age-matched male and female dromedary camels (Camelus dromedaries). Two groups each of male and female cloned and non-cloned camels were monitored to investigate the differences in hemato-physiological characteristics. Results: All the animals were evaluated by performing complete blood count (CBC), serum chemistry, and endocrinological tests. We found no significant difference between the cloned and non-cloned camels. Furthermore, the blood chemistry and endocrine profiles in male and female camels before maturity were similar. Conclusions: These results suggest that cloned and non-cloned camels have similar hematological characteristics and endocrine parameters.

Estimation of Annual Trends and Environmental Effects on the Racing Records of Jeju Horses (제주마 주파기록에 대한 연도별 추세 및 환경효과 분석)

  • Lee, Jongan;Lee, Soo Hyun;Lee, Jae-Gu;Kim, Nam-Young;Choi, Jae-Young;Shin, Sang-Min;Choi, Jung-Woo;Cho, In-Cheol;Yang, Byoung-Chul
    • Journal of Life Science
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    • v.31 no.9
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    • pp.840-848
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    • 2021
  • This study was conducted to estimate annual trends and the environmental effects in the racing records of Jeju horses. The Korean Racing Authority (KRA) collected 48,645 observations for 2,167 Jeju horses from 2002 to 2019. Racing records were preprocessed to eliminate errors that occur during the data collection. Racing times were adjusted for comparison between race distances. A stepwise Akaike information criterion (AIC) variable selection method was applied to select appropriate environment variables affecting racing records. The annual improvement of the race time was -0.242 seconds. The model with the lowest AIC value was established when variables were selected in the following order: year, budam classification, jockey ranking, trainer ranking, track condition, weather, age, and gender. The most suitable model was constructed when the jockey ranking and age variables were considered as random effects. Our findings have potential for application as basic data when building models for evaluating genetic abilities of Jeju horses.

A Genome-wide Scan for Selective Sweeps in Racing Horses

  • Moon, Sunjin;Lee, Jin Woo;Shin, Donghyun;Shin, Kwang-Yun;Kim, Jun;Choi, Ik-Young;Kim, Jaemin;Kim, Heebal
    • Asian-Australasian Journal of Animal Sciences
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    • v.28 no.11
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    • pp.1525-1531
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    • 2015
  • Using next-generation sequencing, we conducted a genome-wide scan of selective sweeps associated with selection toward genetic improvement in Thoroughbreds. We investigated potential phenotypic consequence of putative candidate loci by candidate gene association mapping for the finishing time in 240 Thoroughbred horses. We found a significant association with the trait for Ral GApase alpha 2 (RALGAP2) that regulates a variety of cellular processes of signal trafficking. Neighboring genes around RALGAP2 included insulinoma-associated 1 (INSM1), pallid (PLDN), and Ras and Rab interactor 2 (RIN2) genes have similar roles in signal trafficking, suggesting that a co-evolving gene cluster located on the chromosome 22 is under strong artificial selection in racehorses.

Dynamic D Flip-Flop for Robust and High Speed Operation (안정적인 고속동작을 위한 다이내믹 D Flip-Flop)

  • 송명수;허준호;김수원
    • Journal of the Institute of Electronics Engineers of Korea SD
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    • v.39 no.12
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    • pp.1055-1061
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    • 2002
  • Conventional TSPC D flip-flop has the advantages of high speed, simple clock distribution, and no racing because of the single phase clocking strategy and its simple structure. But, it suffers from glitch, clock slope sensitivity and unbalanced propagation delay problems. Therefore, a new dynamic D flip-flop, which improves these disadvantages, is proposed. The main idea of this paper is DS(Discharge Suppression) scheme, which suppresses unnecessary discharge. As a result, the proposed structure is free from glitch problem and it improves maximum clock slope immunity from 0.25ns to Ins. Also, it uses only 8 transistors and it Is demonstrated that high speed operation is feasible by balancing propagation delay time.

Analysis of cycle racing ranking using statistical prediction models (통계적 예측모형을 활용한 경륜 경기 순위 분석)

  • Park, Gahee;Park, Rira;Song, Jongwoo
    • The Korean Journal of Applied Statistics
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    • v.30 no.1
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    • pp.25-39
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    • 2017
  • Over 5 million people participate in cycle racing betting and its revenue is more than 2 trillion won. This study predicts the ranking of cycle racing using various statistical analyses and identifies important variables which have influence on ranking. We propose competitive ranking prediction models using various classification and regression methods. Our model can predict rankings with low misclassification rates most of the time. We found that the ranking increases as the grade of a racer decreases and as overall scores increase. Inversely, we can observe that the ranking decreases when the grade of a racer increases, race number four is given, and the ranking of the last race of a racer decreases. We also found that prediction accuracy can be improved when we use centered data per race instead of raw data. However, the real profit from the future data was not high when we applied our prediction model because our model can predict only low-return events well.