• Title/Summary/Keyword: Complex variable methods

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Multi-block Analysis of Genomic Data Using Generalized Canonical Correlation Analysis

  • Jun, Inyoung;Choi, Wooree;Park, Mira
    • Genomics & Informatics
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    • v.16 no.4
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    • pp.33.1-33.9
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    • 2018
  • Recently, there have been many studies in medicine related to genetic analysis. Many genetic studies have been performed to find genes associated with complex diseases. To find out how genes are related to disease, we need to understand not only the simple relationship of genotypes but also the way they are related to phenotype. Multi-block data, which is a summation form of variable sets, is used for enhancing the analysis of the relationships of different blocks. By identifying relationships through a multi-block data form, we can understand the association between the blocks in comprehending the correlation between them. Several statistical analysis methods have been developed to understand the relationship between multi-block data. In this paper, we will use generalized canonical correlation methodology to analyze multi-block data from the Korean Association Resource project, which has a combination of single nucleotide polymorphism blocks, phenotype blocks, and disease blocks.

A Study on the Design of Controller for Speed Control of the Induction Motor in the Train Propulsion System-2 (열차추진시스템에서 유도전동기의 속도제어를 위한 제어기 설계에 대한 연구-2)

  • Lee, Jung-Ho;Kim, Min-Seok;Lee, Jong-Woo
    • Journal of the Korean Society for Railway
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    • v.13 no.2
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    • pp.166-172
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    • 2010
  • Currently, vector control is used for speed control of trains because induction motor has high performance is installed in Electric railroad systems. Also, control of the induction motor is possible through various methods by developing inverters and control theory. Presently, rolling stocks which use the induction motor are possible to brake trains by using AC motor. Therefore model of motor block and induction motor is needed to adapt various methods. There is Variable Voltage Variable Frequency (VVVF) as the control method of the induction motor. The torque and speed is controlled in the VVVF. The propulsion system model in the electric railroad has many sub-systems. So, the analysis of performance of the speed control is very complex. In this paper, simulation models are suggested by using Matlab/Simulink in the speed control characteristic. On the basis of the simulation models, the response to disturbance input is analyzed about the load. Also, the current, speed and flux control model are proposed to analyze the speed control characteristic in the train propulsion system.

Variations and types of high-tech fashion (하이테크(High-Tech) 패션의 변화 및 유형)

  • Zhang, Hao;Lee, Younhee
    • Journal of the Korea Fashion and Costume Design Association
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    • v.22 no.2
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    • pp.117-136
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    • 2020
  • The purpose of this study is to analyze changes in high-tech fashion along with the types and characteristics of high-tech fashion that have appeared recently providing diverse material for the fashion field. High-tech fashion requires such research to learn how much distance one has in one's life. It is also meaningful to predict what direction high-tech fashion research may be needed. For research methods, previous research and literary studies were considered and photographs in which high-tech techniques were used were collected using the keyword 'high-tech fashion'. High-tech fashion types can be organized into the four types of luminescent types, mutual interaction types, 3D printing fashion, and virtual fashion. The research results were as follows. First, luminescent fashion was an important expression method of high-tech fashion. Materials for luminescent fashion first started with LED electric wire connections and many methods have been attempted with the appearance of electrically conductive clothing material, such as luminescent lasers and beam projectors. Second, interactive high-tech fashion often appears as variable fashion. The work of Hussein Chalayan, which was combined with advanced technology, set up a base for variable type interactive high-tech fashion in the 2000s. As bioengineering technology has developed, fashion that interacts with the environment without an energy source has appeared and the interaction among fashion, people, and the environment can be seen. Third, diverse forms of expressiveness in virtual reality such as 3D CLO shows a great difference with past high-tech fashion. Simple and diverse attempts made through virtual fittings reduce the limitations of time and space, permit interaction, and add a sense of reality through speed and dynamic physical beauty. Fourth, 3D printed fashion expresses complex and detailed clothing material that is different from those before with the development of computer 3D modeling technology. Modeling that can imitate geometric and bio-engineered structures is possible and mysterious feelings are passed on to people through creative expressions.

The impact of the change in the splitting method of decision trees on the prediction power (의사결정나무의 분기법 변화가 예측력에 미치는 영향)

  • Chang, Youngjae
    • The Korean Journal of Applied Statistics
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    • v.35 no.4
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    • pp.517-525
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    • 2022
  • In the era of big data, various data mining techniques have been proposed as major analysis methodologies. As complex and diverse data is mass-produced, data mining techniques have attracted attention as a method that forms the foundation of data science. In this paper, we focused on the decision tree, which is frequently used in practice and easy to understand as one of representative data mining methods. Specifically, we analyzed the effect of the splitting method of decision trees on the model performance. We compared the prediction power and structures of decision tree models with different split methods based on various simulated data. The results show that the linear combination split method can improve the prediction accuracy of decision trees in the case of data simulated from nonlinear models with complex structure.

High Frequency Noise Reduction in ECG using a Time-Varying Variable Cutoff Frequency Lowpass Filter (시변 가변차단주파수 저역통과필터를 이용한 심전도 고주파 잡음의 제거)

  • 최안식;우응제;박승훈;윤영로
    • Journal of Biomedical Engineering Research
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    • v.25 no.2
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    • pp.137-144
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    • 2004
  • ECG signals are often contaminated with high-frequency noise such as muscle artifact, power line interference, and others. In the ECG signal processing, especially during a pre-processing stage, numerous noise removal techniques have been used to reduce these high-frequency noise without much distorting the original signal. This paper proposes a new type of digital filter with a continuously variable cutoff frequency to improve the signal quality This filter consists of a cutoff frequency controller (CFC) and variable cutoff frequency lowpass filter (VCF-LPF). From the noisy input ECG signal, CFC produces a cutoff frequency control signal using the signal slew rate. We implemented VCF-LPF based on two new filter design methods called convex combination filter (CCF) and weight interpolation fille. (WIF). These two methods allow us to change the cutoff frequency of a lowpass filter In an arbitrary fine step. VCF-LPF shows an excellent noise reduction capability for the entire time segment of ECG excluding the rising and falling edge of a very sharp QRS complex. We found VCF-LPF very useful and practical for better signal visualization and probably for better ECG interpretation. We expect this new digital filter will find its applications especially in a home health management system where the measured ECG signals are easily contaminated with high-frequency noises .

When do we need more than local compression to control intraoral haemorrhage?

  • Sohn, Jun-Bae;Lee, Ho;Han, Yoon-Sic;Jung, Da-Un;Sim, Hye-Young;Kim, Hee-Sun;Oh, Sohee
    • Journal of the Korean Association of Oral and Maxillofacial Surgeons
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    • v.45 no.6
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    • pp.343-350
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    • 2019
  • Objectives: The aims of this study were to determine the effectiveness of local compression in patients presenting to the emergency room with intraoral bleeding and to identify when complex haemostatic measures may be required. Materials and Methods: Five hundred forty patients who had experienced intraoral haemorrhage were retrospectively reviewed. The outcome variable was the haemostasis method used, i.e., simple (local compression with gauze) or complex (an alternative method after local compression has failed). Predictor variables were sex, age, American Society of Anesthesiologists (ASA) class, hepatic cirrhosis, bleeding disorder, use of antithrombotic agents, and site/cause of haemorrhage. Results: The mean patient age was 48.9±23.9 years, 53.5% were male, 42.8% were ASA class II or higher, and 23.7% were taking antithrombotic agents. Local compression was used most often (68.1%), followed by local haemostatic agents, sutures, systemic tranexamic acid or blood products, and electrocautery. The most common site of bleeding was the gingiva (91.7%), and the most common cause was tooth extraction (45.7%). Risk factors for needing a complex haemostasis method were use of antithrombotic agents (odds ratio 2.047, P=0.009) and minor oral surgery (excluding extraction and implant procedures; odds ratio 6.081, P=0.001). Conclusion: A haemostasis method other than local compression may be needed in patients taking antithrombotic agents or having undergone minor oral surgery.

Factors Affecting Communication Satisfaction of Geriatric Caregiver : Focusing on the case of an urban-rural complex community (노인 돌봄서비스 제공자의 의사소통 만족도에 영향을 미치는 요인 : 도·농 복합 지역사회의 사례를 중심으로)

  • Jongmuk Oh;Juhee Park;Jongnam Hwang
    • The Journal of Korean Society for School & Community Health Education
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    • v.24 no.3
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    • pp.37-50
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    • 2023
  • Objectives: The aim of this study was to identify factors influencing communication satisfaction between geriatric caregivers and older adults in urban-rural complex communities. The ultimate goal was to design local community educational programs and policies to enhance communication satisfaction among geriatric caregivers and improve the quality of care services for older adults. Methods: To identify factors influencing communication satisfaction between elderly caregivers and older adults, a survey titled "CCEP: Assessment of Communication Status between Elderly Care Service Providers and Recipients" was conducted from February to July 2020, focusing on rural-urban complex areas. The survey was administered based on providers of elderly healthcare services. The survey targeted 131 respondents involved in providing care services for older adults. The dependent variable of this study was the communication satisfaction reported by elderly caregivers in their interactions with the elderly. The independent variables included perceptions of older adults, factors associated with communication difficulties, and communication efforts. Additionally, gender, working environment, working experience, and the proportion of face-to-face interactions with older adults during caregiving were controlled for the hierarchical multiple regression analysis. Results: The analysis revealed that communication efforts with older adults significantly influenced communication satisfaction (β=.09, p<0.01). However, perceptions of the elderly and communication hindrance factors did not have a significant impact on communication satisfaction among geriatric caregivers. Conclusion: Effective communication between geriatric caregivers and older adults is crucial for identifying and meeting the needs and demands of caregiving services, and it plays a vital role in overall caregiving service satisfaction. To enhance communication skills and satisfaction among geriatric caregivers and ensure the appropriate fulfillment of elderly care needs in the local community, the development of community-centered, specialized health communication programs and other initiatives will be necessary in the future.

Risk Prediction Using Genome-Wide Association Studies on Type 2 Diabetes

  • Choi, Sungkyoung;Bae, Sunghwan;Park, Taesung
    • Genomics & Informatics
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    • v.14 no.4
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    • pp.138-148
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    • 2016
  • The success of genome-wide association studies (GWASs) has enabled us to improve risk assessment and provide novel genetic variants for diagnosis, prevention, and treatment. However, most variants discovered by GWASs have been reported to have very small effect sizes on complex human diseases, which has been a big hurdle in building risk prediction models. Recently, many statistical approaches based on penalized regression have been developed to solve the "large p and small n" problem. In this report, we evaluated the performance of several statistical methods for predicting a binary trait: stepwise logistic regression (SLR), least absolute shrinkage and selection operator (LASSO), and Elastic-Net (EN). We first built a prediction model by combining variable selection and prediction methods for type 2 diabetes using Affymetrix Genome-Wide Human SNP Array 5.0 from the Korean Association Resource project. We assessed the risk prediction performance using area under the receiver operating characteristic curve (AUC) for the internal and external validation datasets. In the internal validation, SLR-LASSO and SLR-EN tended to yield more accurate predictions than other combinations. During the external validation, the SLR-SLR and SLR-EN combinations achieved the highest AUC of 0.726. We propose these combinations as a potentially powerful risk prediction model for type 2 diabetes.

Comparative Analysis of Offset Voltage PWM and $V_{max}-V_{mid}$ PWM Method for 3 Phase Matrix Converter (3상 매트릭스 컨버터에 사용되는 옵셋전압 PWM 방법과 $V_{max}-V_{mid}$ PWM 방법의 비교분석)

  • Cha, Han-Ju;Kim, Woo-Jung
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.58 no.2
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    • pp.285-291
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    • 2009
  • In this paper, comparative analysis of offset voltage PWM method and $V_{max}-V_{mid}$ PWM method for three-phase matrix converter is addressed by using a simple analytical and graphical method. Offset voltage PWM method calculates PWM patterns in terms of offset voltage and variable slope of carrier, and it simplifies matrix converter modulation algorithm significantly. $V_{max}-V_{mid}$ PWM method generates patterns by using two phases and maintaining a remaining phase to base phase, and it is implemented in the industrial products. The most important performance criterion of modulation method is a magnitude of current ripples and it is analytically modelled. The graphical illustration of theses complex multivariable functions make per-carrier cycle and per fundamental cycle behavior of two PWM methods understood. Two modulation methods are analysed with the analytical formulas and graphics, and the analysis shows offset voltage PWM method is superior to $V_{max}-V_{mid}$ PWM method with respect to input current ripples and output voltage ripples.

The Study on Information Visualization Methods Using 3D interactive Animation (3차원 인터랙티브 애니메이션을 활용한 정보시각화 방법에 관한 연구)

  • 김성곤
    • Archives of design research
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    • v.17 no.1
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    • pp.299-308
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    • 2004
  • The methods of presenting information are more variable with advanced computer media technology. However, when we visualize information of database, it is more difficult to understand data meaning by complex date, which is not required by user. To compose new information, user needs to combine own his memory and new information presenting result. To be quickly explored new information and be exactly understood relationship of data structure, the data presenting of visualized information is more structured and presented with meaning form. It is possible to make information visualization system, which users can explore database by oneself, with supporting interaction to be able to control and combine relationship of three-dimensional scene graphic structure, presenting factors of animation and data structure of database. There are several diagrams, such as VR diagram, Form structure diagram and simulated diagram as the case study.

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