• Title/Summary/Keyword: movement time

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Corticotomy for orthodontic tooth movement

  • Lee, Won
    • Journal of the Korean Association of Oral and Maxillofacial Surgeons
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    • v.44 no.6
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    • pp.251-258
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    • 2018
  • Corticotomy was introduced as a surgical procedure to shorten orthodontic treatment time. Corticotomy removes the cortical bone that strongly resists orthodontic force in the jaw and keeps the marrow bone to maintain blood circulation and continuity of bone tissues to reduce risk of necrosis and facilitate tooth movement. In the 21st century, the concept of regional acceleratory phenomenon was introduced and the development of the skeletal anchorage system using screw and plate enabled application of orthopedic force beyond conventional orthodontic force, so corticotomy has been applied to more cases. Also, various modified methods of minimally invasive techniques have been introduced to reduce the patient's discomfort due to surgical intervention and complications after surgery. We will review the history of corticotomy, its mechanism of action, and various modified procedures and indications.

Analysis study of movement patterns using BigData analysis technology (BigData 분석 기법을 활용한 이동 패턴 분석 연구)

  • Yun, Jun-Soo;Kang, Hee-Soo;Moon, Il-Young
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.18 no.5
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    • pp.1073-1079
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    • 2014
  • One of the techniques that are most in the spotlight today, it can be said that Big data. With Big Data, technologies already prevalent in our lives is GPS. Based on the GPS data and Big Data, in this paper, we try to analyze the pattern and path of movement of a particular target. Specific target collects the GPS data by classifying weather and grade and sex of college students, and day of the week in college students of one university. The collected data is analyzed such as movement path, movement time, pattern of repetitive behavior. And visualize it. The analysis method will be classified according to the purpose of data. By identifying relationships with other data results obtained. Based on the present study, the future, we will derive the results of the data more reliable. For this purpose, a wide range of information to be collected will additionally. Research will be developed add to such as Season, time, blood type, occupation data.

Methanol Extract of Longanae Arillus Regulates Sleep Architecture and EEG Power Spectra in Restraint-Stressed Rats

  • Ma, Yuan;Eun, Jae-Soon;Lee, Kwang-Seung;Lee, Eun-Sil;Kim, Chung-Soo;Hwang, Bang-Yeon;Oh, Ki-Wan
    • Natural Product Sciences
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    • v.15 no.4
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    • pp.213-221
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    • 2009
  • Longanae Arillus (the rind of fruits of Dimocarpus longan) has been consumed for the treatment of insomnia and anxiety in Asia. To provide further scientific basis to traditional uses of this fruit on insomnia, we evaluated the effects of methanol extract of Longanae Arillus (MELA) on the alteration of sleep architecture and electroencephalogram (EEG) power spectra in acutely and chronically restraint-stressed rats. Following postsurgical recovery, Polygraphic signs of sleep-wake activities were recorded for 24 h after MELA administration in rats. Rats in the acute stress and chronic stress were administered with MELA for 10 days. On the $8^{th},\;9^{th}\;and\;10^{th}$ day of MELA administration, the rats were stressed for 3 h once per day. On the $10^{th}$ day and 1 h after MELA administration, the rats were stressed once for 22 h in the chronic stress group. Acute and chronic stress induced alternations in cortex EEG recordings during non-rapid eye movement (NREM), rapid eye movement (REM) sleep and wakefulness. MELA shortened the total and REM sleep and increased the wakefulness in night time recording without changing daytime recordings. Chronic stress increased wakefulness and REM sleep, decreased total and NREM sleep in the daytime recording, and increased REM and decreased NREM sleep without changing total sleep and wakefulness in night time recording. These findings suggest that MELA ameliorated the alterations in REM and NREM sleep of acutely and chronically stressed rats via modulation of cortical ${\alpha}-$, ${\theta}-$ and ${\delta}-$ wave activity.

A Study on Motion Detection of Object Using Active Block Matching Algorithm (능동적 블록정합기법을 이용한 객체의 움직임 검출에 관한 연구)

  • Lee Chang-Soo;Park Mi-Og;Lee Kyung-Seok
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.31 no.4C
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    • pp.407-416
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    • 2006
  • It is difficult for the movement detection of an object through a camera to detect exact movement because of unnecessary noises and changes of the light. It can be recognized as a background, when there is no movement after the inflow of an object. Therefore, It is necessary to fast search algorithm for tracking and extract of object that is realtime image. In this thesis, we evaluate the difference of the input vision based on initial image and replace some pixels in process of time. When there is a big difference between background image and input image, we decide it is the point of the time of the object input and then extract boundary point of it. The extracted boundary point detects precise movement of the object by creating minimum block of it and searching block that maintaining distance. The designed and embodied system shows more than 95% accuracy in the performance test.

Korea Red Ginseng Alters Electroencephalogram Spectra of Sleep-Wake Stage in Rats

  • Ma, Yuan;Eun, Jae-Soon;Cheong, Jae-Hoon;Rhee, Dong-Kwon;Hong, Jin-Tae;Oh, Ki-Wan
    • Journal of Ginseng Research
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    • v.32 no.3
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    • pp.220-225
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    • 2008
  • The present investigation was performed to evaluate the homeostatic regulation of sleep architecture by the ethanol extract of Korea red ginseng (KRG), since the available data were often controversial. In addition, it was also interested in whether the sleep-wake stages were differently affected by low and high doses of KRG. Each adult Wistar male rat was implanted with a transmitter for recording EEG and activity via telemetry. After one week of surgery, polygraphic signs of undisturbed sleep-wake activities were recorded for 12 h (between 9:00 am and 9:00 pm) after KRG administration. KRG (10 and 100 mg/kg) increased non-rapid eye movement (NREM) sleep as well as total sleep. The total percentages of wakefulness were decreased comparably. KRG (10 mg/kg) decreased the power density of the ${\delta}-wave$ (0.75-4.5 Hz) and increased ${\alpha}-wave$ (8.0-13.0 Hz) in the NREM and rapid eye movement (REM) sleep. KRG also decreased ${\delta}-wave$ power density in wake time. However, KRG (100 mg/kg) increased ${\delta}-wave$ and decreased ${\theta}-wave$ (5.0-9.0 Hz) power density in wake time, while showed little effect on the power density in NREM and REM sleep. In conclusion, low and high doses of KRG increase spontaneous sleep and NREM sleep and differently regulate the EEG spectra in REM and NREM sleep.

A Kinetics Analysis of Forward 11/2 Somersault on the Platform Diving (플랫폼 다이빙 앞으로 서서 앞으로 11/2회전 동작의 운동역학적 분석)

  • Jeon, Kyoung-Kyu
    • Korean Journal of Applied Biomechanics
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    • v.23 no.3
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    • pp.209-218
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    • 2013
  • This study was to perform the kinetic analysis of forward $1\frac{1}{2}$ somersault on the platform diving. Six men's diving players of the Korea national reserve athletes participated in this study. The variables were analyzed response time, velocity, center of mass (COM), angle, center of pressure (COP) and ground reaction force (GRF) of motion. For measure and analysis of this study, used to synchronized to 4 camcorder and 1 force plate, used to the Kwon3D XP (Ver. 4.0, Visol, Korea) and Kwon GRF (Ver. 2.0, Visol, Korea) for analyzed of variables. The results were as follows; Time factor were observed in maximum knee flexion depending on the extent of use at phase 1 of take-off to execute the somersault. This enabled the subject to secure the highest possible body position in space at the moment of jumping to execute the somersault and prepare for the entry into the water with more ease. Regarding the displacement of COM, all subjects showed rightward movement in the lateral displacement during technical execution. Changes in forward and downward movements were observed in the horizontal and vertical displacements, respectively. In terms of angular shift, the shoulder joint angle tended to decrease on average, and the elbow joints showed gradually increasing angles. This finding can be explained by the shift of the coordinate points of body segments around the rotational axis in order to execute the half-bending movement that can be implemented by pulling the lower limb segments toward the trunk using the upper limb segments. The hip joint angles gradually decreased; this accelerated the rotational movement by narrowing the distance to the trunk. Movement-specific shifts in the COP occurred in the front of and vertical directions. Regarding the changes in GRF, which is influenced by the strong compressive load exerted by the supporting feet, efficient aerial movements were executed through a vertical jump, with no energy lost to the lateral GRF.

A Study on Information Expansion of Neighboring Clusters for Creating Enhanced Indoor Movement Paths (향상된 실내 이동 경로 생성을 위한 인접 클러스터의 정보 확장에 관한 연구)

  • Yoon, Chang-Pyo;Hwang, Chi-Gon
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2022.10a
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    • pp.264-266
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    • 2022
  • In order to apply the RNN model to the radio fingerprint-based indoor path generation technology, the data set must be continuous and sequential. However, Wi-Fi radio fingerprint data is not suitable as RNN data because continuity is not guaranteed as characteristic information about a specific location at the time of collection. Therefore, continuity information of sequential positions should be given. For this purpose, clustering is possible through classification of each region based on signal data. At this time, the continuity information between the clusters does not contain information on whether actual movement is possible due to the limitation of radio signals. Therefore, correlation information on whether movement between adjacent clusters is possible is required. In this paper, a deep learning network, a recurrent neural network (RNN) model, is used to predict the path of a moving object, and it reduces errors that may occur when predicting the path of an object by generating continuous location information for path generation in an indoor environment. We propose a method of giving correlation between clustering for generating an improved moving path that can avoid erroneous path prediction that cannot move on the predicted path.

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Analysis of Images Found in by Jan Svankmajer: Focusing on Classification of Images in the Theory of Cinema by Deleuze (얀 슈반크마이에르의 <영원의 대화>에 나타난 이미지 분석: 들뢰즈 『시네마』 이론의 이미지 분류를 중심으로)

  • Youm, Dong-Cheol;Lim, Yong-Seob
    • Cartoon and Animation Studies
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    • s.32
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    • pp.43-61
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    • 2013
  • The aberrant movement that Gilles Deleuze wanted to describe represents 'unclosed' or 'unlimited' possibility; it also means that a being has unlimited virtual power until it turns into a thing. In this paper, I analyzed and classified "Dialogue Factual,"one of the animation films by Jan Svankmajer, based on the logical grounds by Gilles Deleuze. First, as a result of analysis according to the seven characteristics in the experimental animation by Paul Wells, 'Dialogue Factual' has all of the features in the experimental animation, and, as I have found, the analysis through a comparison with Carl Dreyer's "The Passion of Joan Of Arc" indicates the works by Jan Svankmajer do not conform to Sensory-motor schemata. Such aberrant properties are involved with the time-image by Gilles Deleuze; by comparison with "Lavender Mist No. 1", one of the artworks by Jackson Pollock, it has been confirmed that "crystal image," the important concept of the time-image, is inherent in "Dialogue Factual". Lastly, the analysis of shots suggests that the movement-image and the time-image coexist in "Dialogue Factual". However, they are not to be classified by a clear-cut dichotomy.

Real-Time Pupil Detection System Using PC Camera (PC 카메라를 이용한 실시간 동공 검출)

  • 조상규;황치규;황재정
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.29 no.8C
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    • pp.1184-1192
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    • 2004
  • A real-time pupil detection system that detects the pupil movement from the real-time video data achieved by the visual light camera for general purpose personal computer is proposed. It is implemented with three steps; at first, face region is detected using the Haar-like feature detection scheme, and then eye region is detected within the face region using the template-based scheme. Finally, pupil movement is detected within the eye region by convolution of the horizontal and vertical histogram profiling and Gaussian filter. As results, we obtained more than 90% of the detection rate from 2375 simulation images and the data processing time is about 160㎳, that detects 7 times per second.

Revised Computational-GOMS Model for Drag Activity

  • Lee, Yong-Ho;Jeon, Young-Joo;Myung, Ro-Hae
    • Journal of the Ergonomics Society of Korea
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    • v.30 no.2
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    • pp.365-373
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    • 2011
  • The existing GOMS model overestimates the performance time of mouse activities because it describes them in a serial sequence. However, parallel movements of eye and hand(eye-hand coordination) have been dominant in mouse activities and this eye-hand coordination is the main factor for the overestimation of performance time. In this study, therefore, the revised CGOMSL model was developed to implement eye-hand coordination to the mouse activity to overcome one of the limitations of GOMS model, the lack of capability for parallel processing. The suggested revised CGOMSL model for drag activity, as an example for one of mouse activities in this study, begins visual search processing before a hand movement but ends the visual search processing with the hand movement in the same time. The results show that the revised CGOMSL model made the prediction of human performance more accurately than the existing GOMS model. In other words, one of the limitations of GOMS model, the incapability of parallel processing, could be overcome with the revised CGOMSL model so that the performance time should be more accurately predicted.