• Title/Summary/Keyword: Correlated error

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Analysis of Statistical Properties of Propagation Errors in DCT Coefficient-Dropping Transcoder (DCT 계수 제거 트랜스코딩에서의 전파 왜곡의 통계적 특성 분석)

  • Kim, Jin-Soo;Kim, Jae-Gon
    • Journal of Broadcast Engineering
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    • v.12 no.6
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    • pp.555-564
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    • 2007
  • Discrete cosine transform (DCT) coefficient dropping is well recognized as an efficient rate adaptation transcoding in motion-compensated (MC)-DCT based MPEG-compressed videos. However, in this scheme, the errors incurred by the DCT coefficient-dropping are propagated and often result in significant visual quality degradation. This paper presents two propositions describing well the statistical properties of propagated errors. That is, we propose that the DCT error of the current frame is not correlated to the propagated errors of the previous frames. We also propose that the overall distortions in a given frame can be approximated as the sum of the DCT error of the current frame and the propagated errors from the previous frames. Then, it is shown that several computer simulations with different video sequences verify the effectiveness of the proposed statistical analyses.

Speed Prediction of Urban Freeway Using LSTM and CNN-LSTM Neural Network (LSTM 및 CNN-LSTM 신경망을 활용한 도시부 간선도로 속도 예측)

  • Park, Boogi;Bae, Sang hoon;Jung, Bokyung
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.20 no.1
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    • pp.86-99
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    • 2021
  • One of the methods to alleviate traffic congestion is to increase the efficiency of the roads by providing traffic condition information on road user and distributing the traffic. For this, reliability must be guaranteed, and quantitative real-time traffic speed prediction is essential. In this study, and based on analysis of traffic speed related to traffic conditions, historical data correlated with traffic flow were used as input. We developed an LSTM model that predicts speed in response to normal traffic conditions, along with a CNN-LSTM model that predicts speed in response to incidents. Through these models, we try to predict traffic speeds during the hour in five-minute intervals. As a result, predictions had an average error rate of 7.43km/h for normal traffic flows, and an error rate of 7.66km/h for traffic incident flows when there was an incident.

Individual Variable Step-Size Subband Affine Projection Algorithm (독립 가변 스텝사이즈 부밴드 인접투사 알고리즘)

  • Choi, Hun
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.26 no.3
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    • pp.443-448
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    • 2022
  • This paper presents a subband affine projection algorithm with variable step size to improve convergence performance in adaptive filtering applications with long adaptive filters and highly correlated input signals. The proposed algorithm can obtain fast convergence speed and small steady-state error by using different step sizes for each adaptive sub-filter in the subband structure to which polyphase decomposition and noble identity are applied. The step size derived to minimize the mean square error of the adaptive filter at each update time shows better convergence performance than the existing algorithm using a variable step size. In order to confirm the convergence performance of the proposed algorithm, which is superior to the existing algorithm, computer simulations are performed for mean square deviation(MSD) for AR(1) and AR(2) colored input signals considering the system identification model.

Development of a soil total carbon prediction model using a multiple regression analysis method

  • Jun-Hyuk, Yoo;Jwa-Kyoung, Sung;Deogratius, Luyima;Taek-Keun, Oh;Jaesung, Cho
    • Korean Journal of Agricultural Science
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    • v.48 no.4
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    • pp.891-897
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    • 2021
  • There is a need for a technology that can quickly and accurately analyze soil carbon contents. Existing soil carbon analysis methods are cumbersome in terms of professional manpower requirements, time, and cost. It is against this background that the present study leverages the soil physical properties of color and water content levels to develop a model capable of predicting the carbon content of soil sample. To predict the total carbon content of soil, the RGB values, water content of the soil, and lux levels were analyzed and used as statistical data. However, when R, G, and B with high correlations were all included in a multiple regression analysis as independent variables, a high level of multicollinearity was noted and G was thus excluded from the model. The estimates showed that the estimation coefficients for all independent variables were statistically significant at a significance level of 1%. The elastic values of R and B for the soil carbon content, which are of major interest in this study, were -2.90 and 1.47, respectively, showing that a 1% increase in the R value was correlated with a 2.90% decrease in the carbon content, whereas a 1% increase in the B value tallied with a 1.47% increase in the carbon content. Coefficient of determination (R2), root mean square error (RMSE), and mean absolute percentage error (MAPE) methods were used for regression verification, and calibration samples showed higher accuracy than the validation samples in terms of R2 and MAPE.

Range estimation of underwater vehicles using superimposed chirp signals (중첩된 처프 신호를 이용한 수중 이동체의 거리 추정)

  • Hyung-in Ra;Kyung-won Lee;Chang-hyun Youn;Ki-man Kim
    • The Journal of the Acoustical Society of Korea
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    • v.42 no.6
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    • pp.511-518
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    • 2023
  • Accurate ranging is one of the key factors in the test and evaluation process of underwater vehicles. In particular, when estimating range using Time of Arrival (ToA) values, signals such as Linear Frequency Modulation (LFM), a chirp signal, are highly applicable due to their correlated nature. However, in a Doppler shift environment with mobility, measurement errors may occur due to the range-Doppler coupling effect. In this paper, we propose a signal that compensates for the distance-Doppler coupling effect to reduce the measurement error of the arrival time value. The proposed signal is constructed by superimposing two types of LFM signals, and the range-Doppler coupling effect can be minimized. Through simulations, it is confirmed that the proposed signal is a way to compensate for the distance-Doppler coupling effect in the distance estimation of underwater mobile bodies, reducing the measurement error of the arrival time value.

Effects of Nursing Ethics Education on Moral Reasoning and Ethical Decision Making for Student Nurses (간호윤리 교육이 간호학생의 도덕적 사고와 윤리적 딜레마 상황에서의 의사결정에 미치는 효과)

  • Han, Sung-Suk;Ahn, Sung-Hee
    • Journal of Korean Academy of Nursing Administration
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    • v.1 no.2
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    • pp.268-284
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    • 1995
  • This study was designed to test effects of nursing ethics education (NEE) on moral reasoning and ethical decision making of subjects. This NEE that was teached for 10 hours course was composed of these : Nurses' ethical code, moral responsibility, Moral value and professional accountability, Respect for human life, General ethics, Theory and Norms of biomedical ethics, Ethical decision making model and Discussion about hypothetical ethical dilemmas Twenty-five senior student nurses were sampled from four year college of nursing from Nov. 3rd, 1993 to Nov. 24th, 1993. Data were collected through self-reported questionnaires included two kinds of tests. Rest's Defining Issues Test was adopted to measure the stage of moral development, which was classified with the stage 2 (instrumental relativist orientation), the stage 3 (interpersonal concordance), the stage 4 (law and order), the stage 5A (societal consensus), and the stage 5B (intuitional humanism), the stage 6 (universal ethical practice). In particular, the level of principled thinking (P) was measured by summing these scores of the stages 5A, 5B, and 6. The possible range of P is 0 to 95. As for measuring the levels of morality and nursing dilemma, Crisham's Nursing Dilemma Test was adopted. This test generated the morality score(MS) and the dilemma score (DS). The data were analyzed by t-test, ANOVA, Kruskal-Wallis test, Mc Nemar's test and Pearson correlation coefficients. The results were as follows ; 1. For the Moral Reasoning both before and after NEE, The Mean score of the stage 5A was significantly higher than that of other stages.(P=0.0001) Before NEE, the mean score of the stage 4 was significantly different from stage 2, 3, 5A, and after NEE, different from stage 2, 5B,6. 2. The analysis of change of moral development level revealed that the score of stage 4 increased after NEE.(P=0.0004) 3. The Effect of NEE for the mean score of 5A, 6, P after education was significantly different by birth place. 4. With regard to the five dilemmas postulated such as forcing medication performing cardiac pulmonary resuscitation, reporting a medication error, informing diagnosis to terminally ill adult, and providing new-nurse orientation, the mean score of the MS and the DS was no significant difference with general characteristics of the students. Effect of NEE morality score and dilemma score after education was no significant difference. 5. As for the correlations between moral reasoning and decision making, the score of the stage 2, 5A, 6, DS was positively correlated with the scores of before and after. Positive correlation was also observed between the scores of stage 2 and stage 4, stage 3 and 6. On the other hand, the score of P was negatively correlated with the scores of stage 2 and of stage 4 and of stage 5A. The score of the stage 5A was also negatively correlated with the score of the sge 6.

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Moral Reasoning and Ethical Decision Making among Student Nurses in Moral Dilemmas (간호학생의 도덕적 사고와 윤리적 딜레마 상황에서의 의사결정)

  • Han, Sung-Suk;Ahn, Sung-Hee
    • Journal of Korean Academy of Nursing Administration
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    • v.1 no.1
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    • pp.5-21
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    • 1995
  • This study purports to investigate moral reasoning and ethical decision making among student nurses in the hypothetical moral dilemmas. The subjects consisted of 25 senior nursing students attending at a four-year college. Data were collected through self-reported questionnaires in November, 1993. The questionnaires included two kinds of tests. Rest's Defining Issues Test was adopted to measure the stage of moral development, which was classified with the stage 2 (instrumental relativist orientation), the stage 3 (interpersonal concordance), the stage 4 (law and order), the stage 5A (societal consensus), and the stage 5B (intuitional humanism). In particular, the level of principled thinking (P) was measured by summing those scores of the stages 5A, 5B, and 6. The possible range of P is 0 to 95. As for measuring the levels of morality and nursing dilemma, Crisham's Nursing Dilemma Test was adopted. This test generated the morality score(MS) and the dilemma score (DS). The data were analyzed by t-test, ANOVA, Kruskal-Wallis test, and Pearson correlation coefficients. The findings are following. 1. The mean score of P was 52.93 (SD=12.82). The mean score of the stage 5A was significantly higher than the scores of other stages (17.92, p=.0001). 2. The mean score of P was not significantly different by general characteristics of the students. Of the scores of each stage, only the mean score of the stage 3 revealed significant difference by the status of living with parents(p=.0283). The score was highest when "living with both parents"(15.22), which was followed by "living with no parents"(10.0), "living with father only"(9.0), and "living with mother only"(7.50). 3. With regard to the five dilemmas postulated such as forcing medication, performing cardiac pulmonary resuscitation, reporting a medication error, informing diagnosis to terminally ill adult, and providing new-nurse orientation, most students perceived them as moral dilemma rather than nonmoral one. Most students made a positive decision according to moral reasoning in the above situations except for providing new-nurse orientation. 4. The mean score of the MS was 3.30 and that of the DS was 3.32. These scores did not show significant difference with general characteristics of the students. 5. As for the correlations between moral reasoning and decision making, the score of the stage 5A was positively correlated with the scores of P(.74, p<.0001) and DS(.56, p<.001). Positive correlation was also observed between the scores of stage 2 and stage 4(.68, p<.0001). On the other hand, the score of P was negatively correlated with the scores of stage 3(-.47, p<.05) and of stage 4(-.55, p<.001). The score of the stage 5A was also negatively correlated with the score of the stage 6(-.42, p<.05).

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Simple Method for a Cell Count of the Colonial Cyanobacterium, Microcystis sp.

  • Joung, Seung-Hyun;Kim, Choong-Jae;Ahn, Chi-Yong;Jang, Kam-Yong;Boo, Sung-Min;Oh, Hee-Mock
    • Journal of Microbiology
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    • v.44 no.5
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    • pp.562-565
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    • 2006
  • The cell counting of colonial Microcystis spp. is a rather difficult and error-prone proposition, as this genus forms irregularly-shaped and irregularly-sized colonies, which are packed with cells. Thus, in order to facilitate a cell count, four methods of dividing the colonies into single cells were compared, including vortexing, sonication, $TiO_2$ treatment, and boiling. As a result, the boiling method was determined to generate the greatest number of single cells from a colony, and all colonies were found to have divided completely after only 6 min of treatment. Furthermore, no significant cell destruction, which might alter the actual cell density, was detected in conjunction with the boiling method (P=0.158). In order to compute the cell number more simply, the relationship between the colony size and the cell number was determined, via the boiling method. The colony volume, rather than the area or diameter was correlated more closely with the cell number ($r^2=0.727$), thereby suggesting that the cell numbers of colonial Microcystis sp. can also be estimated effectively from their volumes.

Implementation and estimation of the noninvasive vesical pressure measurement system for diagnosis of lower urinary tract symptom (하부요로 폐색진단을 위한 비침습적 방광내압 계측 시스템의 구현 및 평가)

  • Jeong, Do-Un;Jeon, Gye-Rok
    • Journal of Sensor Science and Technology
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    • v.15 no.2
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    • pp.139-147
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    • 2006
  • Lower urinary tract symptoms (LUTS) affect self-assessed quality of life. The prevalence of LUTS is commonly high in the elderly. The purpose of urodynamic investigation is to obtain information on the function of the urinary system. One of the most frequently used measurement procedures in urodynamics is filling and voiding cystometry. But in this system transurethral catheter is used and it makes patients uncomfortable. The aim of this study is to implement the system that could evaluate noninvasively the function of urinary tract. A new system has been developed to analyze urine flow rate and vesical pressure during voiding. These signals were recorded simultaneously and transmitted to a PC. For system evaluation, a model for the lower urinary system of men was constructed. From the evaluation of the model, vesical pressure was correlated with the occlusion degree. In a pilot study with five male subjects, maximum of standard deviation was 1.26, error rate was 3.49 and coefficient of variation was 3.48.

Analysis of the relationship between garlic and onion acreage response

  • Lee, Eulkyeong;Hong, Seungjee
    • Korean Journal of Agricultural Science
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    • v.43 no.1
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    • pp.136-143
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    • 2016
  • Garlic and onion are staple agricultural products to Koreans and also are important with regard to agricultural producers' income. These products' acreage responses are highly correlated with each other. Therefore, it is necessary to test whether there is a cointegration relationship between garlic acreage and onion acreage when one tries to estimate the acreage response's function. Based upon the test result of cointegration, it is confirmed that there is no statistically significant cointegration relationship between garlic acreage and onion acreage. In this case, vector autoregressive model is preferred to vector error correction model. This study investigated the dynamic relationship between garlic and onion acreage responses using vector autoregressive (VAR) model. The estimated results of VAR acreage response models show that there is a statistically significant relationship between current and lagged acreage of more than one lag. Therefore, it is recommended that government should consider the long-run period's relationship of each product's acreage when it plans a policy for stabilizing the supply and demand of garlic and onion. For the price variables, garlic price only affects garlic acreage response while onion price affects not only onion acreage response but also garlic acreage response. This implies that the stabilizing policy for onion price could have bigger effects than that for garlic price stabilization.