• Title/Summary/Keyword: position prediction

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Promoter Prediction on the Human Chromosome 22 by Promsearch (PromSearch를 이용한 인간 염색체 22번의 프로모터 예측)

  • 김윤희;김병희;장병탁
    • Proceedings of the Korean Information Science Society Conference
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    • 2004.04b
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    • pp.340-342
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    • 2004
  • Promsearch는 인간 DNA에서 코어 프로모터 영역을 예측하는 프로그램이며, PWM(position weight matrix)과 신경망을 기반으로 전사시작지점을 예측한다. 프로그램은 대량의 서열 데이터를 처리할 수 있도록 구성되었으며, 본 논문에서는 인간 염색체 22번에 대한 프로모터 예측 결과를 제시한다. Annotated된 936개의 유전자와 Promsearch가 예측한 프로모터간의 위치의 상관관계를 계산한 결과 87개에 대해 프로모터 예측 결과가 의미 있는 것으로 밝혀졌다. 예측의 민감도는 25%이며, Promsearch가 대규모 시퀀싱 프로젝트에서 나오는 대량의 서열 데이터를 1차적으로 분석하는 도구로서 사용될 수 있음을 확인하였다.

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Human Personality Prediction Using Position Data (위치 데이터를 이용한 성격 데이터의 추론)

  • Kim, SeungYeon;Cho, Yoon Jin;Lee, Eun Byul;Song, Ha Yoon
    • Annual Conference of KIPS
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    • 2013.11a
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    • pp.372-375
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    • 2013
  • 선행 연구에서, 성격 데이터를 이용하여 대상이 되는 인간의 이동 패턴을 예측하는 모델을 만들었다. 이번에는 인간의 위치 데이터 정보를 이용하여 그 인간의 성격을 예측하는 모델을 제시할 것 이다. 인간의 위치 데이터에 따른 성격 데이터를 유추하기 위해 BPN알고리즘을 사용했다.

Soil Moisture and Moisture Stress Prediction for Corn in a Western Corn Belt State (미국 옥수수 서부주산지대에서의 토양수분과 작물수분장해 예측연구)

  • Shaw, R.H.
    • KOREAN JOURNAL OF CROP SCIENCE
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    • v.28 no.1
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    • pp.1-11
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    • 1983
  • Iowa is in a very interesting position for a climatologist with respect to soil moisture, It is located in a transition zone between humid climates to the east, and dry climates to the west, As a result of this, soil moisture reserves may vary widely from year to year, and even from place to place within a year. A wet situation may prevail where free water can be found in the 5-foot profile and the tile are running.(omitted)

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A STUDY ON ACCURACY OF MAXILLARY REPOSITIONING BY EXTERNAL MEASURING TECHIQUE (외부계측법에 의한 상악골 이동의 위치적 정확도에 대한 평가 연구)

  • Park, Hyung-Sik;Cha, In-Ho;Park, Hyung-Rae
    • Maxillofacial Plastic and Reconstructive Surgery
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    • v.13 no.1
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    • pp.44-52
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    • 1991
  • Internal measurement technique has been commonly and classically used to guide down-fractured maxilla by Le Fort I osteotomy into its new position during intraoperative procedure for correlating preoperative model works with surgery. However, It has been challenged now by several authors due to some problems as its inaccuracy in three-dimensional changes at surgery, difficulty to measure during surgery and impossibility of rechecking at the end of surgery etc. The purpose of this study was to evaluate the accuracy of maxillary movement by external measuring technique and to determine its accuracy between the prediction tracing and a new maxillary position. The results indicate that the external measuring technique was predictable in the vertical, horizontal and transverse change of the maxilla as its prediction, however, it has a tendency to shift the maxilla more anterior and inferior in overall direction than prediction. Post-operative canting difference were mimic, however Ehange of the maxillary dental midline was large and had a right-shifting tendency.1 The precise methods to keep maxillary dental midline as same as prediction and the avoidance of uneven force applied to the mandible for autorotation should be necessary during surgery in use of external measurement technique.

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Study on Flood Prediction System Based on Radar Rainfall Data (레이더 강우자료에 의한 홍수 예보 시스템 연구)

  • Kim, Won-Il;Oh, Kyoung-Doo;Ahn, Won-Sik;Jun, Byong-Ho
    • Journal of Korea Water Resources Association
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    • v.41 no.11
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    • pp.1153-1162
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    • 2008
  • The use of radar rainfall for hydrological appraisal has been a challenge due to the limitations in raw data generation followed by the complex analysis needed to come up with precise data interpretation. In this study, RAIDOM (RAdar Image DigitalizatiOn Method) has been developed to convert synthetic radar CAPPI(Constant Altitude Plan Position Indicator) image data from Korea Meteorological Administration into digital format in order to come up with a more practical and useful radar image data. RAIDOM was used to examine a severe local rainstorm that occurred in July 2006 as well as two other separate events that caused heavy floods on both upper and mid parts of the HanRiver basin. A distributed model was developed based on the available radar rainfall data. The Flood Hydrograph simulation has been found consistent with actual values. The results show the potentials of RAIDOM and the distributed model as tools for flood prediction. Furthermore, these findings are expected to extend the usefulness of radar rainfall data in hydrological appraisal.

Aircraft Position Prediction and Shadow Zone Penetration Control Using Bezier Curve (베지에 곡선을 이용한 항공기 위치 예측 및 음영 지역 진입 제어 방법)

  • Jeong, Jae-Soon;Roh, Byeong-Hee
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.39C no.11
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    • pp.1011-1022
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    • 2014
  • Currently, the wireless network environment of air node is constructed mainly of ground relay station. However, as the Korean Peninsula is composed of 70% mountainous region, there are multiple shadow zones. This is calling for effective measures to prevent aircraft from losing communication link during low-mid altitude missions. In this article we propose the utilization of Bezier Curve for estimation of aircraft flight path and control method for entering shadow zone. This method successfully estimated aircraft track, and analyzed the existence, disseminated the warning, and took measures to avoid the shadow zone before entering. This article, suggested after simulated experiments, proves that the method enables seamless communication during air operations.

Development of a Short-term Rainfall Forecasting Model Using Weather Radar Data (기상레이더 자료를 이용한 단시간 강우예측모형 개발)

  • Kim, Gwang-Seob; Kim, Jong-Pil
    • Journal of Korea Water Resources Association
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    • v.41 no.10
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    • pp.1023-1034
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    • 2008
  • The size and frequency of the natural disaster related to the severe storms are increased for recent decades in all over the globe. The damage from natural disasters such as typhoon, storm and local severe rainfall is very serious in Korea since they are concentrated on summer season. These phenomena will be more frequent in the future because of the impact of climate change related to increment of $CO_2$ concentration and the global warming. To reduce the damage from severe storms, a short-range precipitation forecasting model using a weather radar was developed. The study was conducted as following four tasks: conversion three-dimensional radar data to two-dimensional CAPPI(Constant Altitude Plan Position Indicator) efficiently, prediction of motion direction and velocity of a weather system, estimation of two-dimensional rainfall using operational calibration. Results demonstrated that two-dimensional estimation using weather radar is useful to analyze the spatial characteristics of local storms. If the precipitation forecasting system is linked to the flood prediction system, it should contribute the flood management and the mitigation of flood damages.

2-Axis Cartesian Coordinate Robot Optimization for Air Hockey Game (에어 하키 게임을 위한 2축 직교 좌표 로봇 최적화)

  • Kim, Hui-yeon;Lee, Won-jae;Yu, Yun Seop;Kim, Nam-ho
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2019.05a
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    • pp.436-438
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    • 2019
  • Air hockey robots are machine vision systems that allow users to play hockey balls through the camera. The position detection of the hockey ball is realized by using the color information of the ball using OpenCV library. It senses the position of the hockey ball, predicts its trajectory, and sends the result to the ARM Cortex-M board. The ARM Cortex-M board controls a 2- Axis Cartesian Coordinate Robot to run an air hockey game. Depending on the strategy of the air hockey robot, it can operate in defensive, offensive, defensive and offensive mode. In this paper, we describe a vision system development and trajectory prediction system and propose a new method to control a biaxial orthogonal robot in an air hockey game.

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A Study on Algorithm to Improve Accuracy of Initial Track Beam Steering Using Radar Radial Velocity Measurement (레이다 시선속도 측정치를 활용한 초기 추적 빔 조향 정확도 향상 알고리즘 연구)

  • Yoo, Dong-Gil;Hyun, Jun-Seok;Cho, In-Cheol;Sohn, Sung-Hwan
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.21 no.4
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    • pp.63-73
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    • 2021
  • The radar operated to detect/track aircraft targets is divided into a search radar that operates while the antenna rotating device rotates for the purpose of detecting the target according to the mission characteristics, and a tracking radar that periodically steers and tracks a beam to the predicted position of the target. The tracking radar has a shorter target information acquisition preiod than the search radar. Due to this characteristic, the tracking accuracy is better than that of the search radar, but as the prediction error increases due to the speed error at the beginning of the tracking, there are many cases in which tracking fails at the beginning of tracking due to failure to perform beam steering normally. In this paper, in order to solve the above-mentioned problems, we propose an algorithm for improving the accuracy of track initiation using radial velocity measurements in addition to the position of the measured, and confirm the performance of the proposed algorithm by comparing with the two point differential algorithm

Improved Sensor Filtering Method for Sensor Registry System (센서 레지스트리 시스템을 위한 개선된 센서 필터링 기법)

  • Chen, Haotian;Jung, Hyunjun;Lee, Sukhoon;On, Byung-Won;Jeong, Dongwon
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.26 no.1
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    • pp.7-14
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    • 2022
  • Sensor Registry System (SRS) has been devised for maintaining semantic interoperability of data on heterogeneous sensor networks. SRS measures the connectability of the mobile device to ambient sensors based on positions and only provides metadata of sensors that may be successfully connected. The step of identifying the ambient sensors which can be successfully connected is called sensor filtering. Improving the performance of sensor filtering is one of the core issues of SRS research. In reality, GPS sometimes shows the wrong position and thus leads to failed sensor filtering. Therefore, this paper proposes a new sensor filtering strategy using geographical embedding and neural network-based path prediction. This paper also evaluates the service provision rate with the Monte Carlo approach. The empirical study shows that the proposed method can compensate for position abnormalities and is an effective model for sensor filtering in SRS.