• Title/Summary/Keyword: Error Indicator

Search Result 178, Processing Time 0.029 seconds

Radial Electrical Impedance: A Potential Indicator for Noninvasive Cuffless Blood Pressure Measurement

  • Huynh, Toan Huu;Chung, Wan-Young
    • Journal of Sensor Science and Technology
    • /
    • v.26 no.4
    • /
    • pp.239-244
    • /
    • 2017
  • Noninvasive, cuffless, and continuous blood pressure (BP) monitoring is essential to prevent and control hypertension. A well-known existing method for this measurement is pulse transit time (PTT), which has been investigated by many researchers as a promising approach. However, the fundamental principle of the PTT method is based on the time interval taken by a pulse wave to propagate between the proximal and distal arterial sites. Consequently, this method needs an independent system with two devices placed at two different sites, which is a problem. Even though some studies attempted to synchronize the system, it is bulky and inconvenient by contemporary standards. To find a more sensitive method to be used in a BP measurement device, this study used radial electrical bioimpedance (REB) as a potential indicator for BP determination. Only one impedance plethysmography channel at the wrist is performed for demonstrating a ubiquitous BP wearable device. The experiment was evaluated on eight healthy subjects with the ambulatory BP monitor on the upper arm as a reference. The results demonstrated the potential of the proposed method by the correlation of estimated systolic (SBP) and diastolic (DBP) BP against the reference at $0.84{\pm}0.05$ and $0.83{\pm}0.05$, respectively. REB also tracked the DBP well with a root-mean-squared-error of $7.5{\pm}1.35mmHg$.

A Geostatistical Study Using Qualitative Information for Multiple Rock Classification -1. Theory (다분적 암반분류를 위한 정성적 자료의 지구통계학적 연구 1.이론)

  • 유광호
    • Geotechnical Engineering
    • /
    • v.11 no.2
    • /
    • pp.71-78
    • /
    • 1995
  • In this paper, a study was performed on classifying a rock mass into multiple classes as in rock mass classification systems, such as RMR system and Q system etc. In a situation with only limited quantitative data available, it was sought to employ a way of incorporating qualitative data in a systematical and reasonable manner. It is based on the realm of Geostatistics. In particular, indicator kriging technique, which is one of non-parametric approaches, was used. As a selection criterion for an optimal classification, the cost of errors was adopted. As a result, the binary rock classification method developed before was extended and generalized for multiple rock classification with its total number of classes unlimited.

  • PDF

Development of a Leading Performance Indicator from Operational Experience and Resilience in a Nuclear Power Plant

  • Nelson, Pamela F.;Martin-Del-Campo, Cecilia;Hallbert, Bruce;Mosleh, Ali
    • Nuclear Engineering and Technology
    • /
    • v.48 no.1
    • /
    • pp.114-128
    • /
    • 2016
  • The development of operational performance indicators is of utmost importance for nuclear power plants, since they measure, track, and trend plant operation. Leading indicators are ideal for reducing the likelihood of consequential events. This paper describes the operational data analysis of the information contained in the Corrective Action Program. The methodology considers human error and organizational factors because of their large contribution to consequential events. The results include a tool developed from the data to be used for the identification, prediction, and reduction of the likelihood of significant consequential events. This tool is based on the resilience curve that was built from the plant's operational data. The stress is described by the number of unresolved condition reports. The strain is represented by the number of preventive maintenance tasks and other periodic work activities (i.e., baseline activities), as well as, closing open corrective actions assigned to different departments to resolve the condition reports (i.e., corrective action workload). Beyond the identified resilience threshold, the stress exceeds the station's ability to operate successfully and there is an increased likelihood that a consequential event will occur. A performance indicator is proposed to reduce the likelihood of consequential events at nuclear power plants.

Fix-to-Fix Navigation Complement Using Limits of Trigonometric Functions (삼각함수의 극한을 활용한 Fix-to-Fix 항법 보완)

  • Bum-su Kim
    • Journal of Advanced Navigation Technology
    • /
    • v.27 no.3
    • /
    • pp.274-280
    • /
    • 2023
  • The Fix-to-Fix Navigation is the technique for aircraft pilots to find out estimated Heading when crossing from present fix to other fix to want to go in the air. Because this is based on the Rule of Thumb method from one's experience, it could not find out exact estimated Heading. Furthermore if the pilot nears going fix, Bearing Pointer and Course Indicator of HSI are too close to use this technique, that makes the pilot lost in the air. In this paper, We take Limits of Trigonometric Functions into the Fix-to-Fix Navigation to overcome these disadvantages. This study introduces two solutions using Limits of Trigonometric Functions when doing Fix-to-Fix Navigation and analyzes the error of this solutions.

A Study on the Spillover Effect of Information between Factors Related to Steel Materials and BCI (제철원료 관련 요인과 BCI 간의 정보전이 효과에 관한 연구)

  • Yo-Pyung Hwang;Ye-Eun Oh;Keun-Sik Park
    • Korea Trade Review
    • /
    • v.47 no.2
    • /
    • pp.133-154
    • /
    • 2022
  • The Baltic Capesize Index (BCI), which is used as an indicator for marine transportation of steel raw materials, is one of the key economic indexes for managing the risk of loss due to rapid market fluctuations when steel companies establish business strategies and procuring plans for raw materials. Still, the conditions of supply and demand of steel raw materials has been extremely affected by volatility shocks from drastic events like the financial crisis such as the Lehman Brothers incident and changes in the external environment such as COVID-19. And, especially since the 2008 financial crisis, endeavors to predict the market conditions of the steel raw material is becoming more and more arduous for the deepening uncertainty and increased volatility of BCI, which has been used as a leading indicator of the real economy. This study investigates the correlation between the steel raw material market and the marine transportation market by estimating the spillover effect of information between markets. The vector error correction model (VECM) was used to analyze information transfer based on the correlation between the BCI and crude steel production, capesize fleet supply, raw material price, and cargo volume.

Perceived Age Prediction from Face Image Based on Super-resolution and Tanh-polar Transform (얼굴영상의 초해상도화 및 Tanh-polar 변환 기반의 인지나이 예측)

  • Ilkoo Ahn ;Siwoo Lee
    • Journal of Biomedical Engineering Research
    • /
    • v.44 no.5
    • /
    • pp.329-335
    • /
    • 2023
  • Perceived age is defined as age estimated based on physical appearance. Perceived age is an important indicator of the overall health status of the elderly. This is because people who appear older tend to have higher rates of morbidity and mortality than people of the same chronological age. Although perceived age is an important indicator, there is a lack of objective methods to quantify perceived age. In this paper, we construct a quantified perceived age model from face images using a convolutional neural network. The face images are enlarged to super-resolution and the skin, an important feature in perceived age, is made clear. Moreover, through Tanh-polar transformation, the central area of the face occupies a relatively larger area than the boundary area, helping the neural network better recognize facial skin features. The experimental results show mean absolute error (MAE) of 6.59, showing that the proposed model is superior to existing method.

The Relationship between Discretionary Revenues and Book-Tax Difference

  • CHA, Sangkwon;YOO, Jiyeon
    • The Journal of Industrial Distribution & Business
    • /
    • v.11 no.4
    • /
    • pp.39-46
    • /
    • 2020
  • Purpose: This study looks at the relevance between discretionary revenue and book-tax differences (hereafter BTDs). While the study of earnings management, which focused on discretionary accruals and real earnings management, has largely made, it has not yet been actively researched on discretionary revenues. Therefore, it was believed that discretionary revenue would expand the preceding study by looking at its relevance to BTD, known as financial reporting quality and measures of tax avoidance. In general, prior research suggested that earnings management make BTDs larger. Thus, the relationship between discretionary revenue and the amount of BTD is predicted positive. Research design, data and methodology: To this end, the method of discretionary revenues was used and BTDs measured in four ways. First, Earnings before income tax - estimated taxable income divided by total asset (BTD). Second is fractional rank variable of BTDs (FBTD). Third is Indicator variable equals 1 if the firm-year has a positive BTD, 0 otherwise (PBTD). Fourth is that Indicator variable equals 1 if the firm-year has a BTDs in top(bottom) quartile, 0 otherwise (LPBTD, LNBTD). 4,251 samples were analyzed in the Korean Security market (KOSPI) from 2003 to 2014. Results Empirical analysis shows that BTDs increases as discretionary revenue increases. These results were equally observed when BTDs was measured as a ranking variable or as a indicating variable. These results indicate that earnings management through the revenue of managers exacerbate the quality of financial reporting. Conclusions: In sum, discretionary revenues can be used as an indicator of making BTDs larger and meaningful as the first study of the Korean capital market where discretionary revenues affect accounting information quality. Investors need to increase interest in discretionary revenues because intervention in financial reporting through revenue accounts by managers can increase information asymmetry and agency costs. This means that studies on discretionary revenues that have been relatively small should be expanded. The results also provide important implications for the relevant authorities and investors. Despite these benefits, however, measurement error problems with estimates still appear as limited points, and prudent interpretations are required, and additional follow-up studies are needed in that variables that are not yet considered in this study may affect our findings.

Reliable Continuous Object Detection Scheme in Wireless Sensor Networks (무선 센서 네트워크에서 신뢰성 있는 연속 개체 탐지 방안)

  • Nam, Ki-Dong;Park, Ho-Sung;Yim, Young-Bin;Oh, Seung-Min;Kim, Sang-Ha
    • The Journal of Korean Institute of Communications and Information Sciences
    • /
    • v.35 no.12A
    • /
    • pp.1171-1180
    • /
    • 2010
  • In wireless sensor networks, reliable event detection is one of the most important research issues. For the reliable event detection, previous works usually assume the events are only individual objects such as tanks and soldiers. Recently, many researches focus on detection of continuous objects such as wild fire and bio-chemical material, but they merely aim at methods to reduce communication costs. Hence, we propose a reliable continuous object detection scheme. However, it might not be trivial. Unlike individual objects that could be referred as a point, a continuous object is shown in a dynamic two-dimensional diagram since it may cover a wide area and it could dynamically alter its own shape according to physical environments, e.g. geographical conditions, wind, and so on. Hence, the continuous object detection reliability can not be estimated by the indicator for individual objects. This paper newly defines the reliability indicator for continuous object detection and proposes an error recovery mechanism relying on the estimation result from the new indicator.

Volumetric Determination of a small amount of Iron with Potassium Ferrocyanide (훼로시안化 칼리움에 依한 鐵의 微量適定法)

  • Won, Chong-Hun
    • Journal of the Korean Chemical Society
    • /
    • v.5 no.1
    • /
    • pp.42-47
    • /
    • 1961
  • A titration of a small amount of iron with standard potassium ferrocyanide using potassium thiocyanate as indicator has been studied. A sample solution containing $0.1{\sim}1.0$ mg. $Fe^{3+}$ in 60 ml. is pipeted into 100 ml. Erlenmyer flask and the pH of the solution is adjusted to $1.5{\sim}3.0$ with 0.1 N or 1 N $HNO_3$ and $NH_4OH.$ To this solution one ml. of 1 M KCNS solution as indicator is added. The solution colored by iron thiocyanate complex is titrated with 1/200 M or 1/400 M standard solution of potassium ferrocyanide from a 5 ml. micro-buret. Near the end point, when the color of sample changes from deep red to green, about 20 ml. of ether is added and shake the flask vigorously. The red color is extracted to the ether layer. To settle the ether layer a few drops of ethanol is added and then standard solution is added dropwise and shake vigorously. The end point is reached when the color of the ether layer disappears owing to the quantitative formation of $Fe_4[Fe(CN)_6]_3.$ In this titration, 0.lmg. of $Fe^{3+}$ can be determined within 1.0% of titration error, provided the following optimum conditions, i.e., pH $1.5{\sim}3.0$, final concentration of KCNS indicator; $0.01{\sim}0.02M$, at room temperature. The titration found to be interfered by the presence of slightly soluble salts, stable complex forming ions and the ions which would be reduced by ferrocyanide or oxidized by ferric ion.

  • PDF

Phoneme Segmentation based on Volatility and Bulk Indicators in Korean Speech Recognition (한국어 음성 인식에서 변동성과 벌크 지표에 기반한 음소 경계 검출)

  • Lee, Jae Won
    • KIISE Transactions on Computing Practices
    • /
    • v.21 no.10
    • /
    • pp.631-638
    • /
    • 2015
  • Today, the demand for speech recognition systems in mobile environments is increasing rapidly. This paper proposes a novel method for Korean phoneme segmentation that is applicable to a phoneme based Korean speech recognition system. First, the input signal constitutes blocks of the same size. The proposed method is based on a volatility indicator calculated for each block of the input speech signal, and the bulk indicators calculated for each bulk in blocks, where a bulk is a set of adjacent samples that have the same sign as that of the primitive indicators for phoneme segmentation. The input signal vowels, voiced consonants, and voiceless consonants are sequentially recognized and the boundaries among phonemes are found using three devoted recognition algorithms that combine the two types of primitive indicators. The experimental results show that the proposed method can markedly reduce the error rate of the existing phoneme segmentation method.