• Title/Summary/Keyword: period classification

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A Comparison of Smooth and Microtextured Breast Implants in Breast Augmentation: A Retrospective Study

  • Joo Hyuck Lee;Jae Hyuk Jang;Kyung Hee Min
    • Archives of Plastic Surgery
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    • v.50 no.2
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    • pp.160-165
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    • 2023
  • Background The number of cosmetic and reconstructive surgeries that use breast implants is increasing in Korea. Recently, it has been reported that breast implant-associated anaplastic large-cell lymphoma is related to textured breast implants, and interest in classification according to the texture of breast implants is increasing. However, there is currently no clear and unified classification. In particular, the definition of "microtextured" is highly varied. In this study, we retrospectively investigated and analyzed the clinical outcomes of smooth and microtextured breast implants. Methods A retrospective chart review of all patients who underwent breast augmentation surgery with smooth and microtextured silicone gel implants between January 2016 and July 2020 was performed. We retrospectively analyzed implant manufacturer, age, body mass index (BMI), smoking status, incision location, implant size, follow-up period, complications, and reoperation rate. Results A total of 266 patients underwent breast augmentation surgery, of which 181 used smooth silicone gel implants and 85 used microtextured silicone gel implants. Age, BMI, smoking status, implant size, and follow-up period were not significantly different between the two groups. Similarly, complications and reoperation rates were not significantly different between the two groups. Conclusion It is important to provide information regarding the clinical risks and benefits of breast implants to surgeons and patients through a clear and unified classification according to the texture of the breast implant.

A multi-dimensional crime spatial pattern analysis and prediction model based on classification

  • Hajela, Gaurav;Chawla, Meenu;Rasool, Akhtar
    • ETRI Journal
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    • v.43 no.2
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    • pp.272-287
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    • 2021
  • This article presents a multi-dimensional spatial pattern analysis of crime events in San Francisco. Our analysis includes the impact of spatial resolution on hotspot identification, temporal effects in crime spatial patterns, and relationships between various crime categories. In this work, crime prediction is viewed as a classification problem. When predictions for a particular category are made, a binary classification-based model is framed, and when all categories are considered for analysis, a multiclass model is formulated. The proposed crime-prediction model (HotBlock) utilizes spatiotemporal analysis for predicting crime in a fixed spatial region over a period of time. It is robust under variation of model parameters. HotBlock's results are compared with baseline real-world crime datasets. It is found that the proposed model outperforms the standard DeepCrime model in most cases.

The Severity of the Pediatric Patients Visiting Emergency Center (응급실 방문 환아의 중증도)

  • Kim Shin-Jeong;Moon Sun-Young;Park Eun-Ok
    • Child Health Nursing Research
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    • v.7 no.2
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    • pp.191-202
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    • 2001
  • This study was attempted to help in explore new direction about classification of the severity of the pediatric patients visiting emergency center. Data were collected from 276 patients who visited emergency center of E University Hospital during 3 months period from March 1, to May 31,1999. The results were as follows: 1. The degree of severity of the pediatric patients visiting emergency center shown ranged 0-18 and averaged .87. 2. With the respect to the severity of the pediatric patients visiting emergency center, there were statiscally significant difference in patients' visiting time(F=2.607, p=.025), disease classification(F=9.606, p=.000), consciousness level(F=71.499, p=.000), period of symptom manifestation (F=2.262, p=.030), pediatric patients protector's thinking about pediatric patients state (F=16.833, p=.000), treatment outcome (t=5.362, p=.000), duration of stay at emergency center(F=23.944, p=.000).

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Defect Classification and Management System Using CBR technique Based Internet in Apartment Housing Project (인터넷기반 공동주택 하자분류 및 관리 시스템 구축에 사례기반 추론기법을 활용한 연구)

  • Kim, Gwang-Hee;Shin, Han-Woo;Seo, Deok-Seok;Yoon, Jie-Eon
    • Journal of the Korea Institute of Building Construction
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    • v.8 no.1
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    • pp.63-70
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    • 2008
  • Management process of apartment buildings construction has increased because the after service of construction company meet the needs of customers. Many defect data, which was inspected by construction company or customers before moving into a new apartment house, were classified by field engineers and then communicated to corresponding subcontractors. The classification process needs to be performed by an expert engineer because there is so much data, it is unfeasible to complete in a short period of time. For this classification process, an automatic classification system using case base reasoning (CBR) should be considered. This research proposed a defect management system with automatic classification system using CBR. This constructed defect management system consists of cyber after service system for tenants and the whole defect management process of construction, preservation and management of apartment buildings. This system could improve the efficiency of expert work in terms of time and accuracy, as well as helping laymen users to conduct defect classification work as experts do.

Applying Academic Department Classification to Theses and Dissertations Retrieval (학과분류체계의 학위논문검색 적용에 관한 연구)

  • Shim, Won-Sik;Kim, Sung-Hwan
    • Journal of the Korean Society for information Management
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    • v.24 no.4
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    • pp.153-171
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    • 2007
  • This study suggests that improvement of theses and dissertations retrieval can be made by applying appropriate academic department classification. We applied the Korea Research Institute for Vocational Education and Training(KRIVET)'s department classification to these and dissertations being serviced by Korea Education & Research Information Service(KERIS). The results show that the chosen classification appropriately represents diverse academic department information contained in the theses and dissertations either published or used within the recent three year period. The study also makes a number of suggestions that will facilitate the application of an academic department classification to a live system.

Classification of Convective/Stratiform Radar Echoes over a Summer Monsoon Front, and Their Optimal Use with TRMM PR Data

  • Oh, Hyun-Mi;Heo, Ki-Young;Ha, Kyung-Ja
    • Korean Journal of Remote Sensing
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    • v.25 no.6
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    • pp.465-474
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    • 2009
  • Convective/stratiform radar echo classification schemes by Steiner et al. (1995) and Biggerstaff and Listemaa (2000) are examined on a monsoonal front during the summer monsoon-Changma period, which is organized as a cloud cluster with mesoscale convective complex. Target radar is S-band with wavelength of 10cm, spatial resolution of 1km, elevation angle interval of 0.5-1.0 degree, and minimum elevation angle of 0.19 degree at Jindo over the Korean Peninsula. For verification of rainfall amount retrieved from the echo classification, ground-based rain gauge observations (Automatic Weather Stations) are examined, converting the radar echo grid data to the station values using the inverse distance weighted method. Improvement from the echo classification is evaluated based on the correlation coefficient and the scattered diagram. Additionally, an optimal use method was designed to produce combined rainfalls from the radar echo and Tropical Rainfall Measuring Mission Precipitation Radar (TRMM/PR) data. Optimal values for the radar rain and TRMM/PR rain are inversely weighted according to the error variance statistics for each single station. It is noted how the rainfall distribution during the summer monsoon frontal system is improved from the classification of convective/stratiform echo and the use of the optimal use technique.

Classification and Description of Mesogastropods from Ullung Island Waters (울릉도 해산 중복족류 (Mesogastropods)의 분류 및 기재)

  • 최병래;윤숙희
    • The Korean Journal of Malacology
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    • v.6 no.1
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    • pp.45-55
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    • 1990
  • The present study on the classification and description of the marine mesogastropods based on the materials which were collected during the period from 12th to 17th of July in 1989 at nine localities of the Ullug Island. Seven unrecored species in 6 families of mesogastropodes are new to the fauna of Ullung Island. As a result of this study, 7 families and 8 species of marind mesogastuopoes are riported from the Ullung Island. Two species of thim, Costalynia costulata(Dunker, 1860), Barleeia angustata(Pilsbry, 1901), are found to be new to the fauna of Korea.

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Classification and Description of Archeogastropods from Ullung Island Waters (울릉도 해산 원시중복족류 (Archeogastropods)의 분류 및 기재)

  • 최병래;윤숙희
    • The Korean Journal of Malacology
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    • v.6 no.1
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    • pp.56-79
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    • 1990
  • The present study on the classification and description of the marine archeogastropods based on the materials which were collected collected during the period from 12th to 17th of July in 1989 at nine localities of the Ullung Island. In addition to the 3fimilies and 8 species of the marine archeogastropods that have been reported, 7 familis and 29 species were reported including the 4 families and 21 unrecorede species from the Ullung Island as a result of this study. Among them, 3 species: Tugali decussata A. Adms 1852, Tuistichotuochus kima Shikawa & Habe 1965, Alcyna ocellata A. Adams, 1860 are found to be new to the fauna of Korea.

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A Rule-Based Image Classification Method for Analysis of Urban Development in the Capital Area (수도권 도시개발 분석을 위한 규칙기반 영상분류)

  • Lee, Jin-A;Lee, Sung-Soon
    • Spatial Information Research
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    • v.19 no.6
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    • pp.43-54
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    • 2011
  • This study proposes a rule-based image classification method for the time-series analysis of changes in the land surface of the Seongnam-Yongin area using satellite-image data from 2000 to 2009. In order to identify the change patterns during each period, 11 classes were employed in accordance with statistical/mathematic rules. A generalized algorithm was used so that the rules could be applied to the unsupervised-classification method that does not establish any training sites. The results showed that the urban area of the object increased by 145% due to housing-site development. The image data from 2009 had a classification accuracy of 98%. For method verification, the results were compared to land-cover changes through Post-classification comparison. The maximum utilization of the available data within multiple images and the optimized classification allowed for an improvement in the classification accuracy. The proposed rule-based image-classification method is expected to be widely employed for the time-series analysis of images to produce a thematic map for urban development and to monitor urban development and environmental change.

Classification of behavioral signs of the mares for prediction of the pre-foaling period

  • Jung, Youngwook;Jung, Heejun;Jang, Yongseok;Yoon, Duhak;Yoon, Minjung
    • Journal of Animal Reproduction and Biotechnology
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    • v.36 no.2
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    • pp.99-105
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    • 2021
  • In horse management, the alarm system with sensors in the foaling period enables the breeder can appropriately prepare the time of the parturition. It is important to prevent losses by unpredictable parturition because there are several high risks such as dystocia and the death of foals and mares during foaling. However, unlike analysis in the alarm system that detects specific motions has been widely performed, analysis of classification following specific behavior patterns or number needs to be more organized. Thus, the objective of this study is to classify signs of the specific behaviors of the mares for the prediction of pre-foaling behaviors. Five Thoroughbred mares (9-20 yrs) were randomly selected for observation of the pre-foaling behaviors. The behaviors were monitored for 90 min that was divided into three different periods as 1) from -90 to -60 min, 2) from -60 to -30 min, 3) from -30 min to the time for the discharge of the amniotic fluid, respectively. The behaviors were divided into two different categories as state and frequent behaviors and each specific behavioral pattern for classification was individually described. In the state behaviors, the number of mares in the standing of the foaling group (3.17 ± 0.18b) at period 3 was significantly higher than the control group (1.67 ± 0.46a). In contrast, the number of the mares in the eating of the foaling group (1.17 ± 0.34b) at period 3 was significantly lower than the control group (3.33 ± 0.46a). In the frequent behaviors, the weaving of the foaling group was significantly higher than the control group, and looking at the belly of the foaling group was significantly lower than the control group. In period 2, defecation, weaving, and lowering the head of the foaling group were significantly higher than the control group, respectively. In period 3, sitting down and standing up, pawing, weaving, and lowering the head in the foaling group were also significantly higher than the control group. In conclusion, the behavior is significantly different in foaling periods, and the prediction of foaling may be feasible by the detection of the pre-foaling behaviors in the mares.