• 제목/요약/키워드: analysis activity patterns

검색결과 514건 처리시간 0.026초

대형 의류매장의 경로선택에 관한 분석적 연구 - 3개 매장 고객동선의 사례를 중심으로 - (A Study on the Pedestrian Path Choice in Clothing Outlets - Focused on the Three Sample Outlet Customer Circulation System -)

  • 박순주;정성욱;임채진
    • 한국실내디자인학회논문집
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    • 제28호
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    • pp.140-148
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    • 2001
  • The purpose of this thesis is to provide basic information of efficient flow line arrangement, which results from examining the factors of route choice with a focus on the store' space elements and pedestrian activity patterns in the outlets. The route tracking is applied to grasp pedestrian activity patterns, therefore, a concrete analysis into influential factors of the space structure arrangement and forms on route choice. The route tracking is a means to understand pedestrian activity patterns by establishing an unrecognizable space and examining every route in the investigating area for pedestrian activity pattern research. Three sample stores have different systems in the ground plan structures, the escalator location and the directions. The analysis focuses on the booth arrangement and shopping patterns. In conclusion, route choice of the customers and the structure of the space are quite closely related and affect the quality of shopping. This can suggest evidence for the need of the space structure to meet the pedestrian activity patterns.

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평일 시간활동패턴을 활용한 도시 인구의 유사노출집단 분류 (Determination of Similar Exposure Groups Using Weekday Time Activity Patterns of Urban Populations)

  • Hwang, Yunhyung;Lee, Kiyoung;Yoon, Chung-Sik;Yang, Wonho;Yu, Seungdo;Kim, Guenbae
    • 한국환경보건학회지
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    • 제42권6호
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    • pp.353-364
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    • 2016
  • Objectives: Determining the time activity patterns of urban populations is critical when performing an exposure assessment. The purposes of this study were to classify urban populations in Korea by their time activity patterns and to identify factors that influence these patterns. Methods: The time activity patterns of 31,634 and 20,263 individuals were obtained from two national databases collected in 2004 and 2009, respectively. The two largest metropolitan cities in Korea, Seoul and Busan, were selected for this analysis. For each city, multivariate linear regressions were performed to determine factors affecting the time spent in a residence and in transit. We also used cluster analysis to classify each urban population by activity pattern. Results: Nine distinctive activity patterns were identified in the Seoul and Busan populations, respectively, and the resulting classified population groups had specific characteristics. The identified patterns were similar for Seoul and Busan. The most significant factors affecting time spent in a residence were employment status, age, marriage status, education, and gender. Gender, education, employment status, and monthly income were significant factors affecting time spent in transit. Conclusion: These results indicate that, in addition to region, exposure scientists in Korea should consider classifying populations based on age, gender, and occupation.

Characteristics in Molecular Vibrational Frequency Patterns between Agonists and Antagonists of Histamine Receptors

  • Oh, S. June
    • Genomics & Informatics
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    • 제10권2호
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    • pp.128-132
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    • 2012
  • To learn the differences between the structure-activity relationship and molecular vibration-activity relationship in the ligand-receptor interaction of the histamine receptor, 47 ligands of the histamine receptor were analyzed by structural similarity and molecular vibrational frequency patterns. The radial tree that was produced by clustering analysis of molecular vibrational frequency patterns shows its potential for the functional classification of histamine receptor ligands.

일 대학병원 신생아집중치료실 입원 미숙아의 수면/활동 양상 (The Sleep/Activity Patterns of Premature Babies in the Neonatal Intensive Care Unit)

  • 전혜정;정남연;김태임
    • Child Health Nursing Research
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    • 제13권2호
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    • pp.147-156
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    • 2007
  • Purpose: The purpose of this study was to investigate the sleep/activity patterns of premature babies. Method: The subjects were 55 premature babies who were hospitalized in the Neonatal Intensive Care Unit (NICU) of one University Hospital in Daejeon from September 1, 2004 to March 31, 2006. The sleep/activity patterns of the premature babies were observed for 24 hours a day for 7 days. The observations were made and recorded by the researcher and 5 trained research assistants using NCASA records developed by Barnard et al. (1979). For statistical analysis, frequency, average, t-test, and Pearson correlation coefficients were used. Results: The infants slept more and had less awake periods during daytime than full-term infants. As the hospital stay of the premature babies increased, the amount of daytime sleep and total daily sleep decreased, and the amount of daytime awake periods increased. Conclusions: The findings suggest that the level of physical and physiological maturity of premature babies is one of the major variables that affect their sleep/activity patterns. Furthermore, the findings of this study will provide information about the sleep/activity patterns of premature babies, and present baseline data to develop the nursing intervention programs which support optimum development for the premature babies.

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NCASA(Nursing Child Assessment Sleep/Activity Record)를 이용한 초기 영아의 수면/활동 양상 연구 (A Study on the Sleep/Activity pattern in Normal Early Infants using NCASA (Nursing Child Assessment Sleep/Activity Record))

  • 박혜선;이영은
    • 부모자녀건강학회지
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    • 제3권1호
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    • pp.46-59
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    • 2000
  • The purpose of this study is to determine whether the NCASA (Nursing Child Assessment Sleep/Activity Record) would be suitable to evaluate and to provide the basic resources for a Korean model of sleep/activity patterns during the first 6 months Korean infants' lives and to provide a basis for nursing intervention for mothers of early infants. The subjects of this study were 94 normal infants from birth to 6 months of age who visited the postpartum care center and two general hospitals located in Pusan from February 1 to April 28, 2000. The method of data collection was through convenient sampling. The instrument of this study was the NCASA translated by the Korean parent Child Health Academic Association. The collected data were analysed by mean, standard deviation, frequency percentage and ANOVA, Post Hoc test by use of SPSS/PC. The conclusions obtained from this study are summarized as follows: 1. The mean amount of daytime sleep was 8.06 hours. The mean amount of nighttime sleep was 6.31 hours. The mean amount of total daily sleep was 14.37 hours. The mean of the longest sleep period was 5.20 hours. The mean regularity of daytime sleep was 25.84%. The mean regularity of nighttime sleep was 77.69%. The mean regularity of total daily sleep was 42.60%. The mean frequency of nighttime wakenings was 2.33 times. 2. The mean amount of daytime activity was 8.25 hours. The mean amount of nighttime activity was 1.39 hours. The mean amount of daily total activity was 9.64 hours. The mean of the longest activity period was 3.80 hours The mean frequency of daytime feeding was 5.69 times. The mean frequency of nighttime feeding was 2.08 times. The mean frequency of total daily feeding was 7.74 times. The mean frequency regularity of feeding was 54.62%. The mean frequency of wakenings was 5.14 times. The mean frequency of crying was 1.90 times. 3. According to an analysis of sleep patterns based on an infant's age, there were some significant differences in the following factors: amount of daytime sleep(p<.001), amount of night time sleep(p<.05), amount of total daily sleep (p<.001), longest sleep period(p<.001), regularity of daytime sleep(p<.001), regularity of nighttime sleep(p<.01), regularity of total daily sleep(p<.001), frequency of nighttime wakenings(p<.001). 4. According to an analysis of activity patterns based on an infant's age, there were some significant differences in the following factors: amount of daytime activity(p<.001), amount of nighttime activity(p<.01), amount of total daily activity(p<.001), longest activity period(p<.05), frequency of nighttime feeding(p<.01), frequency of wakenings(p<.001). 5. The mean amount of a mother's day time was 16.30 hours. The mean amount of a mother's night time was 7.70 hours. In conclusion, the initial irregular sleeping and activity patterns of the early infant became regurized as the infant grew older and estabilished firmer patterns of sleeping and of activity.

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중학생의 여가활동유형과 생활만족도간의 관계 연구 (The Relationships between Patterns of Middle School Students' Leisure Activities and Life Satisfaction)

  • 최미숙;최동숙
    • 한국가정과교육학회지
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    • 제15권1호
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    • pp.1-14
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    • 2003
  • This study was designed to contribute for improvements of middle school students' quality of life and to Present materials necessary for applying leisure activity Programs for them through an analysis of the patterns of the leisure activities and life satisfaction .For the statistical analysis. Cronbach α. t-test. ANOVA. Duncan's multiple range test were calculated. The Participants were 515 second glade students of middle school in Kangwon Province . The findings can be summarized as follows. 1) The average point of patterns of the subjects participating in leisure activities was 2.38. and activities. which are associated with computers. accounted for 3.35. the highest mark among the various patterns. 2) The patterns of the subjects' leisure activities varies significantly with sociodemographical variables such as sex. location. level of living. pocket money. and leisure expenditure Such factors as leisure time in weekends and the degree of interest in leisure made a significant difference in the patterns of leisure activities .3) The average Point of subjects life satisfaction was 3.49. and their family life satisfaction reached to 3.81 the highest mark. And the Patterns of leasure activity had a Positive relationship with the subjects' life satisfaction. consisting relatively low correlation. However, the more the subjects take Part in leasure. the more they were satisfied with life.

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복지관 이용노인의 신체활동과 수면 (Physical Activity and Sleep Patterns in Elderly Who Visited a Community Senior Center)

  • 박연환
    • 대한간호학회지
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    • 제37권1호
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    • pp.5-13
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    • 2007
  • Purpose: The purpose of this study was to identify the relationship between physical activity and sleep patterns of the elderly. Methods: The subjects of this study were 154 elderly who visited a community senior center in Korea. Data was collected by an interview and a self reported questionnaire, during the period from June to October, 2006. Physical activity was measured by IPAQ Korean version(2006), and sleep pattern by Korean Sleep Scale A developed by Oh et al.(1998). Results: The prevalence of chronic illness in the subjects was 73.4 %. The mean time of vigorous activity was $6.62{\pm}31.27$ minutes/day during the past week. Moderate activity time was $28.85{\pm}50.31$ minutes/day and walking time was $28.85{\pm}50.3$ minutes/day. The total sleep time was $397.63{\pm}111.53$ minutes/day. Physical activity of the elderly significantly correlated with sex, chronic illness, job, and sleep patterns of the elderly. Stepwise multiple regression analysis revealed that the most powerful predictor of sleep pattern was the satisfaction of sleep. A combination of the number of chronic illnesses, moderate physical activities(MET), and total time of sleep accounted for 44.4% of the sleep pattern. Conclusions: Moderate physical activity is more effective than vigorous physical activity for improving the sleep quality of the elderly.

Abnormal Crowd Behavior Detection Using Heuristic Search and Motion Awareness

  • Usman, Imran;Albesher, Abdulaziz A.
    • International Journal of Computer Science & Network Security
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    • 제21권4호
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    • pp.131-139
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    • 2021
  • In current time, anomaly detection is the primary concern of the administrative authorities. Suspicious activity identification is shifting from a human operator to a machine-assisted monitoring in order to assist the human operator and react to an unexpected incident quickly. These automatic surveillance systems face many challenges due to the intrinsic complex characteristics of video sequences and foreground human motion patterns. In this paper, we propose a novel approach to detect anomalous human activity using a hybrid approach of statistical model and Genetic Programming. The feature-set of local motion patterns is generated by a statistical model from the video data in an unsupervised way. This features set is inserted to an enhanced Genetic Programming based classifier to classify normal and abnormal patterns. The experiments are performed using publicly available benchmark datasets under different real-life scenarios. Results show that the proposed methodology is capable to detect and locate the anomalous activity in the real time. The accuracy of the proposed scheme exceeds those of the existing state of the art in term of anomalous activity detection.

활동기반 접근법에 의한 활동패턴의 맥락적 정보분석과 프로파일 (An Activity-Based Analysis of Contextual Information of Activity Patterns and Profiles)

  • 조창현
    • 대한교통학회지
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    • 제25권6호
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    • pp.171-183
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    • 2007
  • 도시교통 수요는 활동 수행으로부터 유발된다. 개인의 활동 의사결정에 의한 일상활동의 개인 간 총합은 집합적 공간행동으로 관찰되며, 활동간 서로 다른 공간의 극복을 위해 유발된 통행은 활동 간의 구조적인 상호연쇄관계에 의해 그 구체적 형태를 부여받는다. 개인의 하루 일상을 통한 시공간적 의사결정 및 사회적 실행과 사회 공간적 환경간의 상호작용을 탐구하는 활동기반접근법은 도시민의 일상과 통행을 분석하는데 중요한 이론 틀을 제공한다. 이 연구는 도시민의 일상활동을 활동기반접근법에 근거하여 대표적인 유형으로 분류하고, 분류된 유형의 프로파일과 관련 있는 활동 주체 특성과 활동 당시의 상황 특성을 분석하였다. 분석 결과 도시민의 일상활동은 소수의 대표적 활동패턴 집단으로 분류 가능하며, 각 집단의 특성은 다차원 프로파일에 의해 유의하게 요약되었다. 또한 각각의 프로파일은 서로 다른 사회경제적, 상황적 특성과 상관되어 있음을 확인하였다. 연구는 도시민의 일상활동 원리를 밝힘으로써, 도시교통 정책수단에 대한 도시민의 개별 반응 양식과 그 집합적 행동을 예측하기 위한 이론적 기초를 제공한다.