• Title/Summary/Keyword: Bias control

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A Novel Scheme to Mitigate a GPS L1 C/A Signal Repeat-back Jamming Effect, According to a Code Tracking Bias Estimation, Using Combined Pseudo-random Noise Signals (통합 의사잡음신호 기반 부호추적편이 추정에 따른 GPS L1 C/A 신호의 재방송재밍 영향 완화 기법)

  • Yoo, Seungsoo;Yeom, Dong-Jin;Jee, Gyu-In;Kim, Sun Yong
    • Journal of Institute of Control, Robotics and Systems
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    • v.22 no.10
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    • pp.869-875
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    • 2016
  • In this paper, a novel scheme with which to mitigate a repeat-back jamming effect is proposed for the GPS L1 coarse/acquisition signal. The proposed scheme estimates the code tracking bias caused by repeat-back jamming signals using a Combined Pseudo-random noise signal. It then mitigates the repeat-back jamming effect by subtracting the estimated code timing on a normal correlation channel from the estimated value. Through a Monte-Carlo simulation, the proposed scheme can diminish the running average of code tracking bias to less than 10% of the bias using the conventional scheme.

The Relationship between Optimistic Bias about Health Crisis and Health Behavior (성인의 건강위기에 대한 낙관적 편견과 건강행위 간의 관계)

  • Park, Su-Ho;Lee, Sul-Hee;Ham, Eun-Mi
    • Journal of Korean Academy of Nursing
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    • v.38 no.3
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    • pp.403-409
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    • 2008
  • Purpose: This study was performed to identify the relationship between optimistic bias about health crisis and health behavior of Korean adults in a crisis of health, and to prepare baseline data for developing a health education and promotion program. Methods: Study subjects were 595 aged from 19 to 64 who live in Korea. Data were collected through questionnaires administered by one interviewer. Descriptive statistics and Pearson's correlation coefficient were calculated using the SPSS program. Results: The average score for optimistic bias about health crisis was 2.69, and that for health behavior was 107.05. The optimistic bias about health crisis showed a significantly positive correlation with health behavior (r=.187, p=.000). Conclusion: To make our results more useful, it is necessary to identity the causal relationship between health attitudes as an explanatory variable and optimistic bias as an outcome variable. In addition, a relatively low score in optimistic bias from this research compared to other studies must be explained through further studies considering unique Korean cultural background. Moreover, research of the relationship between optimistic bias about health crisis and health behavior looking at people who don't have good health behaviors is needed.

The Effects of Luck in Belief and Positive Cognitive Bias on Entrepreneurial Self-Efficacy (행운신념이 긍정적 인지편향과 창업효능감에 미치는 영향)

  • Ha, Hwan Ho;Byun, Chung Gyu
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.18 no.5
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    • pp.33-44
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    • 2023
  • Entrepreneurial self-efficacy is an important variable that explains people's attitudes and behaviors toward start-ups. In this study, we focused on individual psychological characteristics variables such as luck in belief and positive cognitive bias that affect entrepreneurial self-efficacy. Among these variables, we paid particular attention to luck in belief. The belief that business success depends on luck is widespread, but scientific verification about it has not been much. The reason for the academic indifference is that luck is a kind of superstition, related to precognition or extrasensory perception, and randomly caused by the external environment. The study of luck began in earnest as a measure to measure luck as an individual characteristic variable such as personality was developed. The purpose of this study is to examine the existing studies on luck in belief and to examine the effect of this luck in belief on positive cognitive bias and entrepreneurial self-efficacy through empirical analysis. For empirical analysis, this study conducted an on-line survey of 400 ordinary people and conducted a structural equation model analysis using AMOS 21.0 to verify the hypothesis. As a result of hypothesis testing, all hypotheses that luck in belief would have a positive effect on positive cognitive bias(self-enhancement bias, illusion of control bias, unrealism optimistic bias) were adopted. The hypothesis that positive cognitive bias(self-enhancement bias, illusion of control bias, unrealistic optimism bias) will have a positive effect on entrepreneurial self-efficacy was also adopted. Additional analysis was conducted to examine the mediating role of positive cognitive bias in the relationship between luck in belief and entrepreneurial self-efficacy, which showed that 'luck in belief→positive cognitive bias →entrepreneurial self-efficacy' were statistically significant. Through this, we confirmed the mediating effect of positive cognitive bias in the relationship between luck in belief and entrepreneurial self-efficacy. In the conclusion, the implications and limitations of the study were presented based on the results of this study.

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Factors Influencing the Investor's Decision Making: The Moderating Role of Locus of Control

  • KAMRAN, Hafiz Waqas;QAISAR, Abthal;SULTANA, Nayyer;NAWAZ, Muhammad Atif;AHMAD, Hafiz Tanveer
    • The Journal of Asian Finance, Economics and Business
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    • v.7 no.12
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    • pp.535-543
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    • 2020
  • Investors from the whole world are looking for those stock markets that are less affected by interest rates. Pakistan is a good place to invest and the investors from the whole world are considering Pakistan for future ventures. The current study, therefore, aims to analyze the factors affecting investors' decision making in Pakistan with the interaction effect of locus of control. The primary data are gathered from 300 respondents. Structural equation modelling (SEM-PLS) is used to analyze the interactions among variables. The study finds positive impact of availability and representative biases on investment decision making. The study could not find any moderating role of locus of control. The results imply that decisions made by Pakistani investors are driven by the most easily or currently available information and they trust on the information obtained from family and friends without any authentication and verification. One possible description of insignificant moderation effect of locus of control can be the sample traits used in the study, e.g., personal characteristics, that change from culture to culture. Another description of these findings may be the association between heuristic biases, including availability, representative and psychological biases and decision-making regarding investment is not personality specific.

Extension of shuster's algorithm for spin-axis attitude and sensor bias determination (위성 회전축 및 센서 바이어스 결정을 위한 확장 Shuster 알고리즘에 관한 연구)

  • 노태수
    • 제어로봇시스템학회:학술대회논문집
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    • 1994.10a
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    • pp.238-242
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    • 1994
  • Shuster's algorithm for spin-axis determination is extended to include sensor bias and mounting angle as its solve-for parameters. The relation between direct and derived measurements bias is obtained by linearizing their kinematic equations. A one-step least-square estimation technique referred to as the 'closed form' solution is used, and the solution provides a more refined and decent initial guess for the subsequent filtering process contained within the differential correction module. The modified algorithm is applied for attitude determination of a GEO communication satellite in transfer orbit, and its results are presented.

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Estimation of baro-altimeter errors via model transition technique (모델 전이 기법을 이용한 기압고도계의 오차 추정)

  • 황익호
    • 제어로봇시스템학회:학술대회논문집
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    • 1996.10b
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    • pp.32-35
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    • 1996
  • In this paper, it is shown that the dominant errors of baro-altimeters can be characterized by bias and scale factor errors. Also an optimal filter for estimating both bias and scale factor is derived based on the concept of model transition. The optimal filter is, however, not realizable because the model transition hypotheses increase exponentially. Therefore a realizable suboptimal filter using the interacting multiple model(IMM) technique is proposed. Computer simulation results show that the estimation errors of the proposed filter are smaller than those of the conventional least squares algorithm with a forgetting factor when both the bias and the scale factor are varying.

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Detection of a bias level in prediction errors due to input accelerations (입력 가속에서 비롯된 innovation 바이어스 레벨의 검출)

  • 신해곤;홍순목
    • 제어로봇시스템학회:학술대회논문집
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    • 1992.10a
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    • pp.554-557
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    • 1992
  • In this paper the normalized innovations squared of a Kalman filter is used to detect a bias level in prediction errors due to target accelerations. The probability density function of the normalized innovation squared is obtained for a steady state Kalman filter, and it is used to calculate the detection probability of the bias level. A typical example is given to compute the detection probability.

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Highly integrated LCD bias and control IC

  • Nachbaur, Oliver
    • 한국정보디스플레이학회:학술대회논문집
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    • 2009.10a
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    • pp.1236-1239
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    • 2009
  • Each LCD TFT panel requires a power supply IC on the panel board. The IC provides the power rails for the timing controller, source and gated driver IC and others. The industry trend moves towards higher integrated devices. The challenge for the panel manufacturer is the development and implementation of such an IC in cooperation with the semiconductor supplier. If not done carefully the solution will not reduce the overall solution cost or can't provide the expected performance and reliability. This paper discusses the key considerations to successfully develop and integrate a highly integrated LCD bias IC into the system.

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Bias Compensation Algorithm of Acceleration Sensor on Galloping Measurement System

  • Kim, Hwan-Seong;Byung, Gi-Sig;So, Sang-Gyun
    • 제어로봇시스템학회:학술대회논문집
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    • 2001.10a
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    • pp.127.6-127
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    • 2001
  • In this paper, we deal with two bias compensation algorithms of acceleration sensor for measuring the galloping on power transmission line. Firstly, the block diagram of galloping measurement system is given and a galloping model is presented. Secondly, two compensation algorithms, a simple compensation and a period compensation, are proposed. A simple compensation algorithm use the drafts of velocity and distance at fixed periods, so it is useful for constant bias case. Next, a period compensation algorithm can compensate a periodic bias. This algorithm use the previous measured data and compensated data for constant period, where the period is obtained by FFT method. Lastly, the effectiveness of proposed algorithms is verified by comparing between two algorithms in simulation, and its characteristics and the bias error bound are shown, respectively.

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Effect of Scan-bias during Reset Period in a Negative Waveform

  • Park, W.H.;Lee, S.J.;Lee, J.Y.;Kang, J.
    • 한국정보디스플레이학회:학술대회논문집
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    • 2009.10a
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    • pp.728-731
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    • 2009
  • A negative waveform having inverted polarity of conventional waveform during reset and sustain periods was proposed to improve the driving characteristics. In order to control the negative wall-charge distribution, a positive bias on the scan electrode was applied during reset period. Compared to 0 V scan-bias condition, at 8 V scan-bias the formative time lag was improved about 23.95 % and the average time lag was improved about 14.91 %. All experiments were performed with the 42-inch PDP module in XGA resolution.

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