• Title/Summary/Keyword: PIT techniques

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Preventive dentistry for children (소아 예방치과)

  • Kim, Jin Bom
    • Clinical and Experimental Pediatrics
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    • v.51 no.2
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    • pp.129-133
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    • 2008
  • Dental caries is the first disease to cause the pathological extraction of teeth in children. The complete prevention of dental caries is not achieved by toothbrushing alone. The use of fluoride and pit and fissure sealant is regarded as key tools to prevent dental caries. Fluoride-containing tablets or multi-vitamins and community water fluoridation can be used as systemic application techniques. Professional fluoride application, fluoride iontophoresis on teeth, fluoride mouth rinsing and fluoride-containing toothpaste can be used as local application techniques. Pit and fissure sealant is mainly used to prevent dental caries on occlusal surfaces of premolars and molars. Sweeteners not to occur dental caries has been developed to substitute sucrose. Dental erosion increases according to the high consumption of acidic soft drink or beverages. The appropriate use of fluoride and pit and fissure sealant are recommended to prevent dental caries effectively and the education is required to reduce the consumption of acidic soft drinks or beverages to decrease dental erosion.

Game Design Education using PIT(Product Innovation Test) Technique (PIT 기법을 활용한 게임 디자인 교육)

  • Yoon, Seon-Jeong
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.25 no.11
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    • pp.1531-1537
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    • 2021
  • The quality of the game can be evaluated by its fun and functional stability. Among them, the quality area for fun is the essence of the game, so it is a very important factor to be considered from the point of view of a game designer. Usually, fun games with high originality and immersion are designed in the early stages of development, such as idea generation and concept setting. At this time, making it possible to verify the fun factor of the game has an important influence on the success of the game. In this study, the case of using PIT technique when teaching fun element design to students who are starting to study game design was introduced and the effect was analyzed. It is expected that the PIT technique will be used more actively in the game design education field for high-quality and fun game design.

A Study on the Selection of Borrow Pits by Using VE Techniques (VE 기법을 이용한 토취장 선정에 관한 연구)

  • Kim, Seung-Ki;Lee, Byung-Suk;Yang, Jae-Hyouk;Lee, Jong-Cheon;Kim, Chan-kee
    • Journal of the Korean Geosynthetics Society
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    • v.15 no.1
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    • pp.59-70
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    • 2016
  • The purpose of this study is to review that the VE techniques can be used as a selection tool of borrow pit locations. The analysis of the soil investigation report is performed for the selection of proposed borrow pit site on a large-scale residential development area. Possible earthwork volume of mining is estimated and the weighting matrix evaluation is applied to the VE techniques. After determining the evaluation items for VE assessment, important degree was calculated. The Rating and evaluation of performance is carried out on a proposed borrow pit site. And, development priority has to be decided for a proposed borrow pit sites. As a result, the relative construction cost is closely related to the haulage distance. As the haulage distance increases, the relative construction cost will be increased. Therefore, it was confirmed quantitatively that haulage distance has a significant impact on the select of borrow pits. Also, it was found that the condition of borrow pits itself is important, but it cannot be ignored the impact of the life cycle cost for the selection of optimal borrow pit sites.

Pain control using the Point-Inject Technique in dental local anesthesia (Point Inject Technique을 이용한 치과 국소마취의 통증 조절 및 진료 효율의 극대화)

  • Lee, Jae-youn;Choe, Sunga
    • Journal of Korean Academy of Dental Administration
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    • v.9 no.1
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    • pp.32-37
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    • 2021
  • Many approaches to local anesthesia have been studied in dentistry. In this study, we introduce a new local anesthetic method, "Point-Inject Technique (PIT)", and compare it with traditional injection techniques. The PIT method utilizes both the vasoconstrictive and antinociceptive properties of local anesthetics as well as the application of controlled pressure during injection, reducing the time to complete anesthesia. Fifty patients were selected as the experimental group who were anesthetized using PIT, and the other 50 patients were selected as the control group using the direct injection method with a carpool syringe. The PIT group received 0.25 cartridges of 2% lidocaine with 1:100,000 epinephrine. The control group received 1.5~2 cartridges of 2% lidocaine with 1:100,000 epinephrine. Both groups were asked to mark the intensity of the pain caused by anesthesia using the Numeric Pain Rating Scale. The average time to recover from anesthesia was 40 minutes in the experimental group and 90 minutes in the control group. Additionally, 96% of the experimental group reported feeling no pain, while 78% of the control group reported having some form of pain during injection. The PIT method reduced both the reported pain scores of patients as well as time to recover from local anesthesia than the widely-used syringe injection method.

Peach & Pit Volume Measurement and 3D Visualization using Magnetic Resonance Imaging Data (자기공명영상을 이용한 복숭아 및 씨의 부피 측정과 3차원 가시화)

  • 김철수
    • Journal of Biosystems Engineering
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    • v.27 no.3
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    • pp.227-234
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    • 2002
  • This study was conducted to nondestructively estimate the volumetric information of peach and pit and to visualize the 3D information of internal structure from magnetic resonance imaging(MRI) data. Bruker Biospec 7T spectrometer operating at a proton reosonant frequency of 300 MHz was used for acquisition of MRI data of peach. Image processing algorithms and visualization techniques were implemented by using MATLAB (Mathworks) and Visualization Toolkit(Kitware), respectively. Thresholding algorithm and Kohonen's self organizing map(SOM) were applied to MRI data fur region segmentation. Volumetric information were estimated from segemented images and compared to the actual measurements. The average prediction errors of peach and pit volumes were 4.5%, 26.1%, respectively for the thresholding algorithm. and were 2.1%, 19.9%. respectively for the SOM. Although we couldn't get the statistically meaningful results with the limited number of samples, the average prediction errors were lower when the region segmentation was done by SOM rather than thresholding. The 3D visualization techniques such as isosurface construction and volume rendering were successfully implemented, by which we could nondestructively obtain the useful information of internal structures of peach.

Priority based Image Transmission Technique with DPCM in Wireless Multimedia (무선 멀티미디어 센서 네트워크에서 예측부호화를 통한 우선순위 기반 이미지 전송 기법)

  • Lee, Joa-Hyoung;Jung, In-Bum
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.14 no.4
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    • pp.1023-1031
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    • 2010
  • With recent advances in hardware and wireless communication techniques, wireless multimedia sensor network which collects multimedia data through wireless sensor network has started to receive a lot of attentions from many researchers. Wireless multimedia sensor network requires a research of efficient compression and transmission to process the multimedia data which has large size, in the wireless sensor network that has very low network bandwidth. In this paper, we propose PIT protocol for the transmission based on the priority that classified by the DPCM compression. The PIT protocol sets different priority to the each subbands which are divided by the wavelet transform. The PIT protocol transmits the data with higher priority to guarantee the high image quality. The PIT protocol uses the characteristic of wavelet transform that the transformed image is very insensible to the data loss. In PIT protocol, each subbands of wavelet transformed image has fair weight in the compressed image to utilize the prioriy based transmission. The experiment results show that the PIT protocol improves the quality of image in spite of data loss.

Bacterial diversity in children's dental caries (소아의 치아 우식 부위별 세균 다양성)

  • Kim, Eun-Mi;Baik, Keun-Sik;Ha, Myung-Ok
    • Journal of Korean society of Dental Hygiene
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    • v.13 no.5
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    • pp.889-900
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    • 2013
  • Objectives : Molecular biology techniques were employed to assess diversity of bacterial in children's dental caries. Methods : DNA of germs was extracted and the diversity of the 16S rRNA clones was analyzed by amplified rDNA restriction analysis and sequencing. The experimental samples were pit and fissure caries (PC), deep dentinal caries (DC), smooth surface caries (SC), and supragingival plaque (PQ) from 50 children of age less than 12 years old. The control group was healthy teeth supragingival plaque (HT). Thirty clones from each 16S rRNA clone library of 5 samples were randomly selected, thus a total of 150 clones were analyzed. Results : Amplified rDNA restriction analysis uncovered 18, 20, 11, 17, and 22 phylotypes from healthy teeth, pit and fissure caries, deep dentinal caries, smooth surface caries, and supragingival plaque, respectively. Sequencing analysis found the dominance of Actinomycs naeslundii and Fusobacterium nucleatum in the healthy teeth; Leptotrichia sp. in the pit and fissure caries; Actinomyces sp., Streptococcus mutans, and Rahnella aquatilis in the deep dentinal caries; Streptococcus mutans and Actinomyces sp. in the smooth surface caries; Enterobacter hormaechei and Streptococcus sanguinis in the supragingival plaque. Conclusions : Clonal analysis identified 6 phyla, 20 genera, and 51 species.

Mean fragmentation size prediction in an open-pit mine using machine learning techniques and the Kuz-Ram model

  • Seung-Joong Lee;Sung-Oong Choi
    • Geomechanics and Engineering
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    • v.34 no.5
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    • pp.547-559
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    • 2023
  • We evaluated the applicability of machine learning techniques and the Kuz-Ram model for predicting the mean fragmentation size in open-pit mines. The characteristics of the in-situ rock considered here were uniaxial compressive strength, tensile strength, rock factor, and mean in-situ block size. Seventy field datasets that included these characteristics were collected to predict the mean fragmentation size. Deep neural network, support vector machine, and extreme gradient boosting (XGBoost) models were trained using the data. The performance was evaluated using the root mean squared error (RMSE) and the coefficient of determination (r2). The XGBoost model had the smallest RMSE and the highest r2 value compared with the other models. Additionally, when analyzing the error rate between the measured and predicted values, XGBoost had the lowest error rate. When the Kuz-Ram model was applied, low accuracy was observed owing to the differences in the characteristics of data used for model development. Consequently, the proposed XGBoost model predicted the mean fragmentation size more accurately than other models. If its performance is improved by securing sufficient data in the future, it will be useful for improving the blasting efficiency at the target site.

Solution Approaches to Multiple Viewpoint Problems: Comparative Analysis using Topographic Features (다중가시점 문제해결을 위한 접근방법: 지형요소를 이용한 비교 분석을 중심으로)

  • Kim, Young-Hoon
    • Journal of the Korean Association of Geographic Information Studies
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    • v.8 no.3
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    • pp.84-95
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    • 2005
  • This paper presents solution heuristics to solving optimal multiple-viewpoint location problems that are based on topographic features. The visibility problem is to maximise the viewshed area for a set of viewpoints on digital elevation models (DEM). For this analysis, five areas are selected, and fundamental topographic features (peak, pass, and pit) are extracted from the DEMs of the study areas. To solve the visibility problem, at first, solution approaches based on the characteristics of the topographic features are explored, and then, a benchmark test is undertaken that solution performances of the solution methods, such as computing times, and visible area sizes, are compared with the performances of traditional spatial heuristics. The feasibility of the solution methods, then, are discussed with the benchmark test results. From the analysis, this paper can conclude that fundamental topographic features based solution methods suggest a new sight of visibility analysis approach which did not discuss in traditional algorithmic approaches. Finally, further research avenues are suggested such as exploring more sophisticated selection process of topographic features related to visibility analysis, exploiting systematic methods to extract topographic features, and robust spatial analytical techniques and optimization techniques that enable to use the topographic features effectively.

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Computer Modeling Techniques for Teeth Reconstruction System (치아재건 시스템을 위한 컴퓨터 모델링 기술)

  • 엄성권;김병오;유재수;유관희
    • Proceedings of the Korean Information Science Society Conference
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    • 1999.10b
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    • pp.598-600
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    • 1999
  • 본 논문은 수공으로 이루어지는 치과 치료 및 보철물 제작을 3차원 컴퓨터 모델링을 하여 좀 더 정확하고 빠른 시간에 처리할 수 있는 시스템을 소개한다. 이 시스템은 기존 2차원 기반이 아닌 3차원 기반으로 설계되었으며, 구강의 석고 모형을 3차원으로 컴퓨터에 모델링한 후, 모델링 정보로부터 능선(ridge), 교두(crusp), 피트(pit), 열구(fissure), 변연(margin) 등과 같은 치아 특성 정보추출과 교합면 생성을 통하여 보철물, 예를 들어 Conus 내관과 외관을 제작한다. 해부학적으로 무수히 많은 변수를 갖고 있는 구강 구조에 대해 본 논문에서는 이들 일련의 과정에서 요구되는 컴퓨터 모델링의 주요 기술들을 제시한다.

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