• Title/Summary/Keyword: Task Variation

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The Analysis of the Seepage Quantity of Reservoir Embankment using Stochastic Response Surface Method (확률론적 응답면 기법을 이용한 저수지 제체의 침투수량 해석)

  • Bong, Tae-Ho;Son, Young-Hwan;Noh, Soo-Kack;Choi, Woo-Seok
    • Journal of The Korean Society of Agricultural Engineers
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    • v.55 no.3
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    • pp.75-84
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    • 2013
  • The seepage quantity analysis of reservoir embankment is very important for assessment of embankment safety. However, the conventional analysis does not consider uncertainty of soil properties. Permeability is known that the coefficient of variation is larger than other soil properties and seepage quantity is highly dependent on the permeability of embankment. Therefore, probabilistic analysis should be carried out for seepage analysis. To designers, however, the probabilistic analysis is not an easy task. In this paper, the method that can be performed probabilistic analysis easily and efficiently through the numerical analysis based commercial program is proposed. Stochastic response surface method is used for approximate the limit state function and when estimating the coefficients, the moving least squares method is applied in order to reduce local error. The probabilistic analysis is performed by LHC-MCS through the response surface. This method was applied to two type (homogeneous, core zone) earth dams and permeability of embankment body and core are considered as random variables. As a result, seepage quantity was predicted effectively by response surface and probabilistic analysis could be successfully implemented.

Prediction of the $24^{th}$ Solar Maximum Based on the Principal Component-and-Autoregression method

  • Chae, Jong-Chul;Oh, Seung-Jun
    • The Bulletin of The Korean Astronomical Society
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    • v.36 no.2
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    • pp.100.1-100.1
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    • 2011
  • Everybody wants to see the future, but nobody does for sure. Reliably forecasting the solar activity in the near future looks like an easy task, but in fact still remains one of difficult problems in the solar-terrestrial research. We have sought for good univariate methods that can predict future smoothed sunspot numbers reasonably well based on past smoothed sunspot number data only. Here we consider a specific method we call principal component-and-autoregression (PCAR) method. The variation of sunspot number during a period of finite duration (past) before an epoch (present) is modeled by a linear combination of a small number of dominant principal components, and this model is extended to the period (future) beyond the epoch using the autoregressive model of finite order. From the application of this method, we find that the $24^{th}$ solar maximum is likely to occur near the end of the year 2013 (and there is a possibility that it occurs earlier near the start of 2013), and to have a peak sunspot number of about 86, indicating that the activity of the $24^{th}$ cycle will be weaker than the average. We will discuss how much this estimate is reliable.

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Development of an Optimal EEG and Artifact Classifier Using Neural Network Operating Characteristics (신경망 운영특성곡선을 이용한 최적의 뇌파 및 Artifact 분류기 구성)

  • Lee, T.Y.;Ahn, C.B.;Lee, S.H.
    • Proceedings of the KOSOMBE Conference
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    • v.1995 no.05
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    • pp.160-163
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    • 1995
  • An optimal EEG and artifact classifier is proposed using neural network operating characteristics. The neural network operating characteristics are two dimensional parametric representations of the right and false identification probabilities of the network classifier. Since the EEG and EP signals acquired from multi -channel electrodes placed on the head surface are often interfered by other relatively large physiological signals such as electromyogram (EMG) or electroculogram (EOG), the removal of the artifact-affected EEGs is one of the key elements in neuro-functional mapping. Conventionally this task has been carried out by human experts spending lots of examination time. Using the neural-network based classification, human expert's efforts and time can be substantially reduced. From experiments, the neural-network based classification performs as good as human experts: variation of decisions between the neural network and human expert appears even smaller than that between human experts.

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Wideband Low-Reflection Transmission Lines for Bare Chip on Multilayer PCB

  • Ramzan, Rashad;Fritzin, Jonas;Dabrowski, Jerzy;Svensson, Christer
    • ETRI Journal
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    • v.33 no.3
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    • pp.335-343
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    • 2011
  • The pad pitch of modern radio frequency integrated circuits is in the order of few tens of micrometers. Connecting a large number of high-speed I/Os to the outside world with good signal fidelity at low cost is an extremely challenging task. To cope with this requirement, we need reflection-free transmission lines from an on-chip pad to on-board SMA connectors. Such a transmission line is very hard to design due to the difference in on-chip and on-board feature size and the requirement for extremely large bandwidth. In this paper, we propose the use of narrow tracks close to chip and wide tracks away from the chip. This narrow-to-wide transition in width results in impedance discontinuity. A step change in substrate thickness is utilized to cancel the effect of the width discontinuity, thus achieving a reflection-free microstrip. To verify the concept, several microstrips were designed on multilayer FR4 PCB without any additional manufacturing steps. The TDR measurements reveal that the impedance variation is less than 3 ${\Omega}$ for a 50 ${\Omega}$ microstrip and S11 better than -9 dB for the frequency range 1 GHz to 6 GHz when the width changes from 165 ${\mu}m$ to 940 ${\mu}m$, and substrate thickness changes from 100 ${\mu}m$ to 500 ${\mu}m$.

A Study on SCM System Construction Strategy Using a Statistical Method (통계기법을 이용한 SCM 시스템 구축 전략에 관한 연구)

  • 서장훈;김용범;김우열
    • Journal of the military operations research society of Korea
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    • v.28 no.1
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    • pp.17-28
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    • 2002
  • Recently, To define an enterprise's survival strategy is a difficult task, because the competition of a business is a complexity. The reason is the original research uses a statistical survey method. On a conceptual point of SCM, - as an order of development, physical distribution, logistics management, basic supply chain management and advanced supply chain management etc - a supervisor is magnifying gradually as well as confusing with information and analysis techniques which seems possible. On executing this, however, it has many problems since it is hard and wide; therefore, The Manager don't aware a total executable solution even though the enterprise knows necessity of SCM. On this paper focus on a proposal of alternatives with reasonableness of manufacturing and making a profit of sales department like most of enterprises are willing to overcome such as carelessness and unready strategy of investment additionally, the thesis should effort to find an element through an analysis of cases, a statistical method of effective SCM, and actual survey to propose an alternative; moreover, this paper proved the facts that it could be a guiding company, which has an ability of cooperation with entities through the founding of supply chain. As a conclusion, this essay showed the variation that influences the capacity entities and alternative to define an element which basically influence for a cause and effect.

Influence of Time Stress on EEG Characteristics Related with Human Errors (시간 압박이 인간과오 관련 뇌파 특성에 미치는 영향)

  • Lim, Hyeon-Kyo
    • Journal of the Korean Society of Safety
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    • v.26 no.3
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    • pp.83-90
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    • 2011
  • It is well known that urgency resulted from time stress can be a great cause to industrial accidents. Therefore, time stress has been studied in the aspect of macroscopic view, namely industrial safety management, but has not been studied in microscopic view such as psychophysiological approach. Among diverse psychophysiological indices, Electroencephalogram(EEG) would be on of the most objective psychophysiological research technique on human errors though few research has been taken yet. This study aimed to get characteristics of human error while committing a simple arithmetic addition task by utilizing the power spectrum technique of EEG data. Each experiment was composed of 2 tasks under different condition - with and without time stress. As subjects, 5 young undergraduate students in their early twenties participated in this study. The results advocated a well-known fact that time stress downgrades the performance of human workers. However, correct answer rate and response time were not significantly influenced by time stress factor which might be explained by the constructural factor adopted in the present study. As in the previous studies, among various EEG-related measures, relative band power ratios of ${\alpha}$ and ${\beta}$ waves to sum of ${\alpha}$,${\beta}$,${\theta}$ wave powers, namely $P_{{\alpha}/({\alpha}+{\beta}+{\theta})}$ and $P_{{\beta}/({\alpha}+{\beta}+{\theta})}$ seemed to be the most effective measures to grasp variation of brain activities in time-stressed situation so that discussions were expanded about their variations.

An Analytic solution for the Hadoop Configuration Combinatorial Puzzle based on General Factorial Design

  • Priya, R. Sathia;Prakash, A. John;Uthariaraj, V. Rhymend
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.16 no.11
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    • pp.3619-3637
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    • 2022
  • Big data analytics offers endless opportunities for operational enhancement by extracting valuable insights from complex voluminous data. Hadoop is a comprehensive technological suite which offers solutions for the large scale storage and computing needs of Big data. The performance of Hadoop is closely tied with its configuration settings which depends on the cluster capacity and the application profile. Since Hadoop has over 190 configuration parameters, tuning them to gain optimal application performance is a daunting challenge. Our approach is to extract a subset of impactful parameters from which the performance enhancing sub-optimal configuration is then narrowed down. This paper presents a statistical model to analyze the significance of the effect of Hadoop parameters on a variety of performance metrics. Our model decomposes the total observed performance variation and ascribes them to the main parameters, their interaction effects and noise factors. The method clearly segregates impactful parameters from the rest. The configuration setting determined by our methodology has reduced the Job completion time by 22%, resource utilization in terms of memory and CPU by 15% and 12% respectively, the number of killed Maps by 50% and Disk spillage by 23%. The proposed technique can be leveraged to ease the configuration tuning task of any Hadoop cluster despite the differences in the underlying infrastructure and the application running on it.

Handwritten Indic Digit Recognition using Deep Hybrid Capsule Network

  • Mohammad Reduanul Haque;Rubaiya Hafiz;Mohammad Zahidul Islam;Mohammad Shorif Uddin
    • International Journal of Computer Science & Network Security
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    • v.24 no.2
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    • pp.89-94
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    • 2024
  • Indian subcontinent is a birthplace of multilingual people where documents such as job application form, passport, number plate identification, and so forth is composed of text contents written in different languages/scripts. These scripts may be in the form of different indic numerals in a single document page. Due to this reason, building a generic recognizer that is capable of recognizing handwritten indic digits written by diverse writers is needed. Also, a lot of work has been done for various non-Indic numerals particularly, in case of Roman, but, in case of Indic digits, the research is limited. Moreover, most of the research focuses with only on MNIST datasets or with only single datasets, either because of time restraints or because the model is tailored to a specific task. In this work, a hybrid model is proposed to recognize all available indic handwritten digit images using the existing benchmark datasets. The proposed method bridges the automatically learnt features of Capsule Network with hand crafted Bag of Feature (BoF) extraction method. Along the way, we analyze (1) the successes (2) explore whether this method will perform well on more difficult conditions i.e. noise, color, affine transformations, intra-class variation, natural scenes. Experimental results show that the hybrid method gives better accuracy in comparison with Capsule Network.

Usability test of pulling cable exercise machine in the spinal cord injury disabled: Focusing on deriving improvement (척수 손상 장애인 대상 장애인용 풀링 케이블 운동기구의 사용성 평가: 개선점 도출을 중심으로)

  • Sung Shin Kim;Myo Jung Choi;Hyosun Kweon;Kwang Ok An;Young-Hyeon Bae
    • Journal of Korean Physical Therapy Science
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    • v.31 no.1
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    • pp.16-32
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    • 2024
  • Background: Exercise equipments and assistive devices for the disabled are being developed, but improvements for usability are still needed. The purpose of this study was to improve and utilize the developed exercise equipment and assistance devices by conducting usability test for people with spinal cord injury. Design: Cross-sectional Study. Methods: Scenarios and usability indicators were derived by conducting a preliminary usability test, 5 non-disabled men and women aged 19 or older. In the scenario, a total of 9 tasks were sequentially performed, including 2 tasks of entry and exit, 5 tasks of assistance devices and weight stack adjustment, and 2 tasks of pre exercise and exercise. The usability indicators were task success (success or fail), execution time (sec), safety, and convenience. For safety, 7 questions (Likert scale, 1~5 point) related to safety, stability and hazard were derived, and for convenience, the system usability scale (SUS score) was used (range: 0~100, 50 percentile rank is 68 point). Results: As a result of the usability test of people with spinal cord injury, there was a large variation among subjects in the task of adjusting the position of the pulley and support in the execution time (11.64~25.44 seconds), and one person failed to adjust the pulley. The safety level showed a lower score (score = 3 points) than other items in the item of entrapment or skin pressure, and in the case of SUS, the average score was 64.5 points, which was close to the acceptable level. Conclusion: Through the usability test, it was confirmed that exercise equipment for the disabled needs improvement in operability, pinching, and pressure, and that it is necessary to develop an assistive device that provides unrestrained posture information (biofeedback) to maintain correct posture during exercise.

Comparison of the Vocal Characteristics of Adults with and without Cerebral Palsy on Musical Speech Tasks (뇌성마비 성인과 일반 성인의 음악적 발화과제 시 음성 특성 비교)

  • Park, Han Na
    • Journal of Music and Human Behavior
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    • v.12 no.2
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    • pp.1-18
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    • 2015
  • The purpose of this study was to compare the vocal characteristics of 40 adults with and without cerebral palsy (CP), upon presentation of three speech tasks (i.e., reading, chanting, and singing). The Praat program was utilized to generate data on fundamental frequency, voice intensity, jitter, and shimmer. The results of the analysis revealed no significant differences on fundamental frequency and intensity. However, both groups showed significant decreases in jitter and shimmer when engaged in singing tasks. The analysis of group differences indicated that adults with CP showed significantly higher variation scores on jitter and shimmer than the group without CP, and the difference on jitter and shimmer became greater during rhythmic chanting. In terms of jitter variation, the interaction effects according to the groups and types of speech tasks were greater, demonstrating the differences between the two groups. This study can be utilized as a basic research, regarding changes in vocal characteristics of adults with CP according to different musical speech tasks.