• Title/Summary/Keyword: difference threshold test

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Detection of M-FSK Signals with Difference Threshold Test in Rayleigh Fading Channels (레일리 감쇄 채널에서 차분 문턱간 검정을 쓴 M진 주파수 편이 변조 신호검파)

  • Kim Hong Jik;Kang Hyun Gu;Kim Sun Yong;Kwon Hyoungmoon;Bang Man-Won;Song Iickho
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.30 no.10C
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    • pp.999-1006
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    • 2005
  • The difference threshold test (DTT) declares erasures whenever the difference between the largest and second largest energy detector outputs does not exceed a given threshold. we show that the DTT outperforms the ratio threshold test (RTT) for finite modulation size and diversity order in the detection of M-FSK signals. The asymptotic performance for infinite modulation size and diversity order is then investigated. It is shown that the minimum signal-to-noise ratio required to achieve error-free communication for the DTT is the same as that for the RTT.

Comparison with Threshold Limit Value (TLV) of Menthol Cigarettes between Expert and Consumer Panel

  • Lee Seung-Yong;Lee Whan-Woo;Kim Young-Hoh
    • Journal of the Korean Society of Tobacco Science
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    • v.28 no.1
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    • pp.58-66
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    • 2006
  • Threshold limit value (TLV) test between expert and consumer panel was conducted about absolute, recognition and difference threshold respectively. And we tried to suggest appropriate and minimum acceptable menthol concentration level by consumer panel. Determination of threshold value was based on ASTM E 679-79 method by forced-choice ascending concentration series. In addition, a semi-ascending paired difference method was referred to conduct test. The group threshold value was determined as the value of geometric mean individual threshold. The smokers were dividend by two groups, trained and consumer panel. Trained panel was selected according to sensitivity to menthol discrimination. Consumer panel wasrecruited in proportion as population ratios including female smokers. They were all over twenty years old volunteers and summed up thirty four persons. In terms of sensor evaluation, overall difference test with seven-category scale by both trained and consumer panelists were done. On judging correct or incorrect answer, two by three cut-off levels applied to. Every test was conducted with two sessions, before smoking and during smoking period. And, only two samples served each paneI per test with regard to sensory fatigue and reliable results. All tests were replicated, and in total 32 times per panelist. In conclusion, the recognition threshold about consumer and expert panel was 358 ppm/cig. and 276 ppm/cig. in separately. Besides, absolute and difference thresholds were obtained also. And, we conduct difference threshold test with two different ways, upward and downward. And, The results of each method were 246, 195 ppm/cig., 1414, 1336 ppm/cig. and 1047, 972 ppm/cig.

Scene Change Detection using the Automated Threshold Estimation Algorithm

  • Ko Kyong-Cheol;Rhee Yang-Won
    • The Journal of Information Systems
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    • v.14 no.3
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    • pp.117-122
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    • 2005
  • This paper presents a method for detecting scene changes in video sequences, in which the $chi^{2}$-test is modified by imposing weights according to NTSC standard. To automatically determine threshold values for scene change detection, the proposed method utilizes the frame differences that are obtained by the weighted $chi^{2}$-test. In the first step, the mean and the standard deviation of the difference values are calculated, and then, we subtract the mean difference value from each difference value. In the next step, the same process is performed on the remained difference values, mean-subtracted frame differences, until the stopping criterion is satisfied. Finally, the threshold value for scene change detection is determined by the proposed automatic threshold estimation algorithm. The proposed method is tested on various video sources and, in the experimental results, it is shown that the proposed method is reliably estimates the thresholds and detects scene changes.

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Effect of Bad Breath on Olfactory Identification Ability and on Olfactory Detection Threshold for CH3SH (구취가 후각인지도 및 methyl mercaptan에 대한후각감지역치에 미치는 영향)

  • Do, Young-Hwan;Choi, Jae-Kap;Ahn, Hyoung-Joon
    • Journal of Oral Medicine and Pain
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    • v.26 no.4
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    • pp.309-318
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    • 2001
  • The purposes of the study were (1) to evaluate the olfactory identification ability in those who have bad breath, (2) to determine the olfactory detection threshold for methyl mercaptan in normal subjects and those who have bad breath, and (3) to evaluate the effect of oral hygiene care on the olfactory detection threshold for methyl mercaptan. Sixteen male subjects with bad breath (male odor group), 9 male subjects without bad breath (male non-odor group), and 10 female subjects without bad breath (female non-odor group) were included for the study. Olfactory identification ability was assessed by administrating the Cross-Cultural Smell Identification Test (CC-SIT), and the olfactory detection threshold for methyl mercaptan was measured by two-alternative forced-choice single-staircase detection threshold procedure in a double-blinded condition. The geometric mean of the last four staircase reversal points of a total of seven reversals is used as the threshold. For the male odor group, after 1 month of intensive oral hygiene care for reducing oral volatile sulfur compounds (VSC) concentration, the olfactory detection threshold for methyl mercaptan was measured again and compared to the initial value. The ANOVA was used to test the group difference of olfactory threshold and olfactory identification ability and the paired t-test was used to test the difference of olfactory threshold between before and after reduction of oral VSC in male odor group. The results were as follows : 1. There was no significant difference in olfactory identification ability among those who have bad breath and normal male or female subjects. 2. The olfactory detection threshold for methyl mercaptan was about 8.4 ppb in normal male and female. 3. There was a tendency that male subjects with bad breath showed a higher olfactory detection threshold for methyl mercaptan when compared to those of no bad breath. 4. The olfactory detection threshold for methyl mercaptan returned to a normal level after 1 month of intensive oral hygiene care for reducing oral VSC.

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Automatic Threshold-decision Algorithm using the Average and Standard Deviation (평균과 표준편차를 이용한 자동 임계치-결정 알고리즘)

  • Ko, Kyong-Cheol;Rhee, Yang-Won
    • The Journal of Korean Association of Computer Education
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    • v.8 no.6
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    • pp.103-111
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    • 2005
  • This paper presents a novel automated threshold-decision algorithm that uses the mean and standard-deviation values obtained from the difference values of consecutive frames. At first, the calculation of difference values is obtained by the weighted ${\chi}^2$-test algorithm which was modified by joining color histogram to ${\chi}^2$-test algorithm. The weighted ${\chi}^2$-test algorithm can subdivide the difference values by imposing weights according to NTSC standard. In the first step, the proposed automatic threshold-decision algorithm calculates the mean and standard-deviation value from the total difference values, and then subtracts the mean value from the each difference values. In the next step, the same process is performed on the remained difference values, and lastly, the threshold is detected from the mean when the standard deviation has a maximum value. The proposed method is tested on various video sources and, in the experimental results, it is shown that the proposed method efficiently estimates the thresholds and reliably detects scene changes.

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A Study on the Anesthetic Effects of Pulsed Nd:YAG Laser Irradiation to the Oral Mucosa and the Teeth (Nd:YAG 레이저 조사에 의한 치아 및 구강점막의 마취효과)

  • 최재갑
    • Journal of Oral Medicine and Pain
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    • v.23 no.1
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    • pp.1-9
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    • 1998
  • The aim of the study was to evaluate the anesthetic Effecs of pulsed Nd:YAG laser irradiation to the oral mucosa and the teeth. Twenty subjects who didn't have a history of significant systemic or current oral disease were included in this study. All the subjects were divided randomly into the experimental group and the control group with 10 for each group. Pain thresholds were measured with Weighted Needle Pinprick Sensory Threshold Test for the mucosal surface of lower lip and with electric pulp test for the upper right central incisor respectively, before and immediately after pulsed Nd:YAG laser irradiation in the condition of 2 watt, 20pps for 2 minute at 10mm distance. The experiment was double-blinded clinical trial. The results were as follows : 1. The mean pain threshold of the mucosal surface of lower lip for Weighted Needle Pinprick Sensory Threshold Test was 2.94(1.00g for the contral group respectively, and there was no statistical difference between two groups. 2. The mean pain threshold of the mucosal surface of lower lip was significantly increased immediately after pulsed Nd:YAG laser irradiation. 3. The mean pain threshold of the upper right central incisor for eledtric pulp test was 34.50(4.97V in the experimental group and 34.00(13.08V in the control group respectively, and there was no statistical difference between two groups. 4. The mean pain threshold of the upper right central incisor was significantly increased immediately after pulsed Nd:YAG laser irradiation.

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A Scene Change Detection Technique using the Weighted $\chi^2$-test and the Automated Threshold-Decision Algorithm (변형된 $\chi^2$- 테스트와 자동 임계치-결정 알고리즘을 이용한 장면전환 검출 기법)

  • Ko, Kyong-Cheol;Rhee, Yang-Won
    • Journal of the Institute of Electronics Engineers of Korea CI
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    • v.42 no.4 s.304
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    • pp.51-58
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    • 2005
  • This paper proposes a robust scene change detection technique that uses the weighted chi-square test and the automated threshold-decision algorithms. The weighted chi-square test can subdivide the difference values of individual color channels by calculating the color intensities according to NTSC standard, and it can detect the scene change by joining the weighted color intensities to the predefined chi-square test which emphasize the comparative color difference values. The automated threshold-decision at algorithm uses the difference values of frame-to-frame that was obtained by the weighted chi-square test. At first, The Average of total difference values is calculated and then, another average value is calculated using the previous average value from the difference values, finally the most appropriate mid-average value is searched and considered the threshold value. Experimental results show that the proposed algorithms are effective and outperform the previous approaches.

The Comparative Study on the Effect of Trigger Point Treatment, Self-Exercise Treatment, Trigger Point - Self-Exercise Cooperative Treatment for Neck Pain Caused by Traffic Accidents (교통사고 후 경항통 발생환자 중 Trigger Point 치료군, 자가운동 치료군, Trigger Point 및 자가운동 병행 치료군 비교연구)

  • Lee, Hyun-Jae;Park, Jung-Oh;Oh, Min-Seok
    • Journal of Korean Medicine Rehabilitation
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    • v.24 no.2
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    • pp.131-140
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    • 2014
  • Objectives This study was aimed at comparing clinical effectiveness among trigger point treatment, Self-exercise treatment, trigger point - self-exercise cooperative treatment for neck pain caused by traffic accidents. Methods 63 patients with neck pain by traffic accidents were divided into 3 groups. Different types of treatments were carried out for each groups ; group A with trigger point, group B with self-exercise, group C with trigger point and self-exercise cooperative treatment. 3 groups were also treated with general acupuncture and herb-medicine treatment. Pain threshold, visual analogue scale (VAS), and neck disability index (NDI) were checked on a daily basis. SPSS ver. 18.0 for Windows was used for analysis of data. The effectiveness of treatment of each groups were verified by using paired test and one-way repeated-measures ANOVA test, and the comparison of VAS, NDI and pain threshold were demonstrated by independent samples t-test. Results 3 groups all showed significant difference in pain threshold, VAS and NDI after 8 days later. Group C showed more improvement in pain threshold, VAS and NDI than shown in group A and B. In the first period (from pre-treatment to 4th day treatment) group C showed significant difference in NDI and pain threshold but not in VAS as compared to group A and B. In the second period (from 4th treatment to 8th day treatment), Group C showed significant difference in pain threshold, VAS and NDI as compared to group A and B. Conclusions Trigger point - self-exercise cooperative treatment is proved to be more helpful to improve the unstability and reduce neck pain than trigger point treatment or self-exercise treatment only, therefore eventually leading to better satisfaction for patients with neck pain.

A Clinical Study on the Electric Pulp Test (전기적 치수자극 평가법에 대한 임상적 연구)

  • Dae-Geun Yoon;Chang-Lyuk Yoon
    • Journal of Oral Medicine and Pain
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    • v.16 no.1
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    • pp.95-102
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    • 1991
  • The purpose of this study carried into the Electric pulp test for having knowledge of the difference of each one's stimulant threshold in normal teeth, the stimulant threshold at 10:00 A.M. and 3:00 P.M. in the same teeth, the differendce of the stimulant threshold between dental caries and normal contralateral teeth. In this study, 27 students aged between 22 and 24 years were selected from a pool of students who are sttending school of dentistry, chosun university who did not possessed dental disease like the dental caries, periodontal disease and restoration etc., and 30 outpatients who possessed dental caries(++). The obtained results were as follows : 1. The stimulant thresholds of the premolars and canine were higher than that of the incisors. 2. The stimulant thresholds of the carious teeth were lower than that normal contralateral teeth. 3. There were no difference stimulant threshold at 10:00 A.M. and 3:00 P.M.

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Video Segmentation using the Automated Threshold Decision Algorithm (비디오 분할을 위한 자동 임계치 결정 알고리즘)

  • Ko Kyong-Cheol;Lee Yang-Won
    • Journal of the Korea Society of Computer and Information
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    • v.10 no.6 s.38
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    • pp.65-74
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    • 2005
  • This Paper Propose a robust scene change detection technique that use the weighted chi-square test and the automated threshold-decision algorithm. The weighted chi-test can subdivide the difference values of individual color channels by calculating the color intensities according to mSC standard, and it can detect the scene change by joining the weighted color intensities to the predefined chi-test which emphasize the comparative color difference values. The automated decision algorithm uses the difference values of frame-to-frame that was obtained by the weighted chi-test. In the first step, The average of total difference value and standard deviation value is calculated and then, subtract the mean value from the each difference values. In the next step, the same process is performed on the remained difference value. The propose method is tested on various sources and in the experimental results, it is shown that the Proposed method is efficiently estimates the thresholds and reliably detects scene changes.

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