• Title/Summary/Keyword: robust measures

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Error-Tolerant Music Information Retrieval Method Using Query-by-Humming (허밍 질의를 이용한 오류에 강한 악곡 정보 검색 기법)

  • 정현열;허성필
    • The Journal of the Acoustical Society of Korea
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    • v.23 no.6
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    • pp.488-496
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    • 2004
  • This paper describes a music information retrieval system which uses humming as the key for retrieval Humming is an easy way for the user to input a melody. However, there are several problems with humming that degrade the retrieval of information. One problem is a human factor. Sometimes people do not sing accurately, especially if they are inexperienced or unaccompanied. Another problem arises from signal processing. Therefore, a music information retrieval method should be sufficiently robust to surmount various humming errors and signal processing problems. A retrieval system has to extract pitch from the user's humming. However pitch extraction is not perfect. It often captures half or double pitches. even if the extraction algorithms take the continuity of the pitch into account. Considering these problems. we propose a system that takes multiple pitch candidates into account. In addition to the frequencies of the pitch candidates. the confidence measures obtained from their powers are taken into consideration as well. We also propose the use of an algorithm with three dimensions that is an extension of the conventional DP algorithm, so that multiple pitch candidates can be treated. Moreover in the proposed algorithm. DP paths are changed dynamically to take deltaPitches and IOIratios of input and reference notes into account in order to treat notes being split or unified. We carried out an evaluation experiment to compare the proposed system with a conventional system. From the experiment. the proposed method gave better retrieval performance than the conventional system.

The Analysis of Pre-Service Biology Teachers' Natural Selection Conceptions in Multiple-Choice and Open-Response Instruments (생물 예비 교사의 선택형과 개방형 문항에서 나타난 자연선택 설명 분석)

  • Ha, Min-Su;Lee, Jun-Ki
    • Journal of The Korean Association For Science Education
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    • v.31 no.6
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    • pp.887-900
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    • 2011
  • Teachers use explanations to communicate important scientific ideas to students. Consequently, all biology teachers should be evaluated to determine how effective they are at constructing and communicating biological explanations. Open response questions are required to detect pre-service biology teachers' abilities to communicate robust and accurate scientific explanations. Nevertheless, multiple-choice questions are typically preferred by educators because of the common drawbacks of using open-response instruments, such as scoring time, inter-rater scoring disagreements, and delayed feedback to test takers. This study aims to measure pre-service biology teachers' competence in building scientific explanations and to investigate how accurately multiple-choice questions predict the results of open-response questions. One hundred twenty four pre-service biology teachers participated in the study and were administered 20 multiple-choice items and three open-response items designed to measure the accuracy and quality of their explanations of evolutionary change. The results demonstrated that pre-service teachers displayed higher competence when tested with multiple choice items than when tested with open response items. Moreover, scores derived from multiple-choice items poorly predicted the scores derived from open-response items. Multiple-choice items were also found to be poor measures of the consistency, purity and abundance of conceptual elements in teachers' evolutionary explanations. Additionally, many teachers held mixed-models composed of both scientific and naive ideas, which were difficult to detect using multiple-choice formats. Overall, the study indicates that multiple-choice formats are poorly suited to measuring several aspects of biology teachers' knowledge of evolution, including their ability to generate scientific explanations. This study suggests that open-response items should be used in teacher education programs to assess pre-service teachers' explanatory competency prior to being permitted to teach science to children.

A Study on Universal Design Using PSD (Preference Set-Based Design) Method (PSD법을 이용한 유니버설 디자인에 관한 연구)

  • Nahm, Yoon-Eui;Ishikawa, Haruo
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.38 no.3
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    • pp.127-135
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    • 2015
  • Universal design is defined as the design process of products and environments usable by all people to the greatest extent possible, without the need for adaptation or specialized design. The benefits of universal design have been promoted primarily through illustrative 'success stories' of public, residential and occupational environments and products. While case examples may be informative, they may unfortunately be limited in terms of generality to other designs or tasks. Therefore, design methods and criteria that can be applied systematically in a range of situations to encourage universal design are needed. In addition, the seven principles of universal design are intended to guide the design process. The principles provide a framework that allows a systematic evaluation of new or existing designs and assists in educating both designers and consumers about the characteristics of more usable products and environments. However, exactly how these principles are incorporated into the design process has beenleft up to the designer. Since the introduction of universal design, designers have become familiar with the principles of universal design, and they have developed many products based on universal design. However, the principles of universal design are qualitative, which means designers cannot quantitatively evaluate their designs. Some have worked to develop more systematic ways to evaluate products and environments by providing design guidelines for each of the principles. However, recommendations have not yet been made regarding how to integrate performance measures of universal design into the product design process before the product is mass produced. Furthermore, there are sets of requirements regarding each user group that has different age and ability. Consequently, there is an urgent need for design methods, based on a better understanding of age and ability related factors, which will lead to a universally designed product or environment. The authors have proposed the PSD (Preference Set-Based Design) method that can generate a ranged set of feasible solutions (i.e., robust and flexible solution set) instead of single point solution that satisfies changing sets of design targets. The objective of this paper is to develop a general method for systematically supporting the universal design process. This paper proposes the applicability of PSD method to universal design. Here, the proposed method is successfully illustrated with a universal design problem.

Study on a Demand Volume Estimation Method using Population Weighted Centroids in Facility Location Problems (시설물 입지에 있어 인구 중심점 개념을 이용한 수요 규모 추정 방법 연구)

  • Joo, Sung-A;Kim, Young-Hoon
    • Journal of the Korean Association of Geographic Information Studies
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    • v.10 no.2
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    • pp.11-22
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    • 2007
  • This paper is to discuss analytical techniques to estimate demand sizes and volumes that determine optimal locations for multiple facilities for a given services. While demand size estimation is a core part of location modeling to enhance solution quality and practical applicability, the estimation method has been used in limited and restrict parts such as a single population centroid in a given larger census boundary area or small theoretical application experiments(e.s. census track and enumeration district). Therefore, this paper strives to develop an analytical estimation method of demand size that converts area based demand data to point based population weighted centroids. This method is free to spatial boundary units and more robust to estimate accurate demand volumes regardless of geographic boundaries. To improve the estimation accuracy, this paper uses house weighted value to the population centroid calculation process. Then the population weighted centroids are converted to individual demand points on a grid formated surface area. In turn, the population weighted centroids, demand points and network distance measures are operated into location-allocation models to examine their roles to enhance solution quality and applicability of GIS location models. Finally, this paper demonstrates the robustness of the weighted estimation method with the application of location-allocation models.

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Geo-Morphological Study of Sand Dune for Railway Project in UAE (UAE 내 철도프로젝트 수행을 위한 사막 사구의 지형학적 특성 연구)

  • Moon, Joon-Shik;Kim, Jae-Young;Lee, Seung-Bok
    • Journal of the Korean Geotechnical Society
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    • v.28 no.9
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    • pp.17-22
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    • 2012
  • Wind blown sand is expected to disrupt the operation of the railway as the presented railway project in this paper consists of large earthworks in extreme topography of the mega dune fields. For successful railway construction in sand dune area, effective mitigation measure is the most important factor to protect the track from wind blown sand. The effective mitigation measure requires an integrated consideration of the earthworks geometry and the direct control measures such as fence system. Basically there's no perfect measure protecting railway track from wind blown sand, and it would be more economical and effective to develop robust, deliberate maintenance program for track and direct control measure on the basis of geo-morphological study. The purpose of this study is to identify the large scale geo-morphological terrains and specific sand dune morphology in the project area in UAE and estimate the direction and migration rate for sand dunes with the local variations in prevailing wind directions by undertaking literature review, and aerial photographs, satellite images, and ground studies.

Active Water-Level and Distance Measurement Algorithm using Light Beam Pattern (광패턴을 이용한 능동형 수위 및 거리 측정 기법)

  • Kim, Nac-Woo;Son, Seung-Chul;Lee, Mun-Seob;Min, Gi-Hyeon;Lee, Byung-Tak
    • Journal of the Institute of Electronics and Information Engineers
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    • v.52 no.4
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    • pp.156-163
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    • 2015
  • In this paper, we propose an active water level and distance measurement algorithm using a light beam pattern. On behalf of conventional water level gauge types of pressure, float-well, ultrasonic, radar, and others, recently, extensive research for video analysis based water level measurement methods is gradually increasing as an importance of accurate measurement, monitoring convenience, and much more has been emphasized. By turning a reference light beam pattern on bridge or embankment actively, we suggest a new approach that analyzes and processes the projected light beam pattern image obtained from camera device, measures automatically water level and distance between a camera and a bridge or a levee. As contrasted with conventional methods that passively have to analyze captured video information for recognition of a watermark attached on a bridge or specific marker, we actively use the reference light beam pattern suited to the installed bridge environment. So, our method offers a robust water level measurement. The reasons are as follows. At first, our algorithm is effective against unfavorable visual field, pollution or damage of watermark, and so on, and in the next, this is possible to monitor in real-time the portable-based local situation by day and night. Furthermore, our method is not need additional floodlight. Tests are simulated under indoor environment conditions from distance measurement over 0.4-1.4m and height measurement over 13.5-32.5cm.

Representation of Facial Expressions of Different Ages: A Multidimensional Scaling Study (다양한 연령의 얼굴 정서 표상: 다차원척도법 연구)

  • Kim, Jongwan
    • Science of Emotion and Sensibility
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    • v.24 no.3
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    • pp.71-80
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    • 2021
  • Previous studies using facial expressions have revealed valence and arousal as two core dimensions of affective space. However, it remains unknown if the two dimensional structure is consistent across ages. This study investigated affective dimensions using six facial expressions (angry, disgusted, fearful, happy, neutral, and sad) at three ages (young, middle-aged, and old). Several studies previously required participants to directly rate subjective similarity between facial expression pairs. In this study, we collected indirect measures by asking participants to decide if a pair of two stimuli conveyed the same emotions. Multidimensional scaling showed that "angry-disgusted" and "sad-disgusted" pairs are similar at all three ages. In addition, "angry-sad," "angry-neutral," "neutral-sad," and "disgusted-fearful" pairs were similar at old age. When two faces in a pair reflect the same emotion, "sad" was the most inaccurate in old age, suggesting that the ability to recognize "sad" decreases with old age. This study suggested that the general two-core dimension structure is robust across all age groups with the exception of specific emotions.

Predicting Future ESG Performance using Past Corporate Financial Information: Application of Deep Neural Networks (심층신경망을 활용한 데이터 기반 ESG 성과 예측에 관한 연구: 기업 재무 정보를 중심으로)

  • Min-Seung Kim;Seung-Hwan Moon;Sungwon Choi
    • Journal of Intelligence and Information Systems
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    • v.29 no.2
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    • pp.85-100
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    • 2023
  • Corporate ESG performance (environmental, social, and corporate governance) reflecting a company's strategic sustainability has emerged as one of the main factors in today's investment decisions. The traditional ESG performance rating process is largely performed in a qualitative and subjective manner based on the institution-specific criteria, entailing limitations in reliability, predictability, and timeliness when making investment decisions. This study attempted to predict the corporate ESG rating through automated machine learning based on quantitative and disclosed corporate financial information. Using 12 types (21,360 cases) of market-disclosed financial information and 1,780 ESG measures available through the Korea Institute of Corporate Governance and Sustainability during 2019 to 2021, we suggested a deep neural network prediction model. Our model yielded about 86% of accurate classification performance in predicting ESG rating, showing better performance than other comparative models. This study contributed the literature in a way that the model achieved relatively accurate ESG rating predictions through an automated process using quantitative and publicly available corporate financial information. In terms of practical implications, the general investors can benefit from the prediction accuracy and time efficiency of our proposed model with nominal cost. In addition, this study can be expanded by accumulating more Korean and international data and by developing a more robust and complex model in the future.

Effectiveness of Acupuncture in the Treatment of Post-Disaster Musculoskeletal Pain: A Systematic Review (재난 후 근골격계 통증에 침치료의 유효성: 체계적 문헌고찰)

  • Ka-Hyun Kim;Sung-Won Choi;Hae-Won Hong;Ju-Young Yoon;Yong-Jun Kim;Jung-Hyun Kim
    • Journal of Korean Medicine Rehabilitation
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    • v.33 no.3
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    • pp.135-148
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    • 2023
  • Objectives To investigate the effectiveness of acupuncture in the treatment of post-disaster musculoskeletal pain by reviewing relevant clinical studies. Methods A systematic search was conducted across 10 electronic databases to identify relevant clinical studies on acupuncture treatment for post-disaster musculoskeletal pain until May 2023. The methodological quality was evaluated using the Cochrane Risk of Bias 2 and Risk of Bias Assessment tool for non-randomized studies tools. Results Six articles were analyzed, including two randomized controlled trials (RCTs), two before-after studies, one qualitative research, and one case series. Overall, acupuncture therapy showed some improvement in pain scale among musculoskeletal pain survivors. However, no significant improvement was observed in the Short-Form McGill Pain Questionnaire (SF-MPQ-2). Subgroup analysis of participants who completed at least four acupuncture sessions revealed a significant effect on the SFMPQ-2. Additionally, a significant improvement in 36-Item Short Form Survey (SF36P) was observed after 6 months of treatment, but the 2-month treatment period did not show statistically significant effects on SF-36P improvement. The evaluation of the methodological quality of the RCTs identified some concerns of bias. Conclusions The results suggest that acupuncture is effective in alleviating post-disaster musculoskeletal pain. However, considering the limited number of selected studies and the inclusion of subjective evaluation measures, caution should be exercised in interpreting the results. Further large-scale follow-up studies are needed to determine the optimal frequency and duration of acupuncture treatment. Well-designed controlled trials should be conducted to provide more robust evidence regarding the effectiveness of acupuncture for post-disaster musculoskeletal pain.

A Study on Antecedents of Suicidal Ideation among Korean Older Adults: A test of the Stress-diathesis Model (노인의 자살 생각에 영향을 미치는 선행요인에 관한 연구: 스트레스 소질 모델(Stress-diathesis Model)을 중심으로)

  • Ahn, Joonhee;Chun, Miae
    • 한국노년학
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    • v.29 no.2
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    • pp.489-511
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    • 2009
  • While late-life suicide has been increasing and become an important issue for public health in Korea, little is known about the phenomenon and its contributing risk factors based on which effective preventive measures can be made. Since suicidal ideation is a major precursor to attempted and completed suicide, the objective of the present study was to reveal primary contributors to suicidal ideation. Data were collected from a cross-sectional survey of 247 community-dwelling Korean older adults (age≥60) in the mid-size city in Korea. The statistical methodology employed a robust hierarchical regression procedure that iteratively downweights outliers. Based on the stress-diathesis model, the study examined major diathesis and stressors directly explaining suicidal ideation. The study also explored the significant interaction among these factors. The findings revealed that living alone and depression were significant main antecedents of suicidal ideation. In addition, neuroticism X life events and neuroticism X depression were significant interaction terms with the strongest explanatory power, which provides an empirical evidence to support the stress-diathesis model in explaining suicidal phenomenon of the Korean elderly. The result demonstrates the theoretical implication as well as the practical implication for developing and implementing late-life suicide prevention strategies. Limitations and directions for future research are discussed.