• Title/Summary/Keyword: Non-causal

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Kant's Proof of the Causal Principle (칸트의 인과율 증명)

  • Bae, Jeong-ho
    • Journal of Korean Philosophical Society
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    • v.147
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    • pp.215-237
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    • 2018
  • The purpose of this study is to illuminate the precise nature and the central line of Kant's proof of the causal principle stated in the Second Analogy of the 2nd. edition of the Critique of Pure Reason. The study argues for the following thesis: 1. The proof of the Second Analogy concerns only the causal principle called the "every-event-some-cause" principle, and not the causal law(s) called the "same-cause-same-event" principle. 2. The goal of the proof is to establish the possibility of knowledge of an temporal order of successive states of an object. 3. The proof is broadly an single transcendental argument in two steps. The 1st. step is an analytic argument that infers from the given perceptions of an oder of successive states of an objects to the conclusion that the causal principle is the necessary condition for the objectivity of dies perceived order. The 2nd. step is a synthetic argument that infers from the formal nature of time to the conclusion that the causal principle is a necessary condition for die possibility of objective alterations and of empirical knowledge of these alterations. 4. The poof involves not the 'non sequitur' assumed by P. F. Strawson, that is, Kant infers not directly from a feature of our perceptions to a conclusion regarding the causal relations of distinct states of affairs that supposedly correspond to these perceptions.

A Study on the Application of SVD to an Inverse Problem in a Cantilever Beam with a Non-minimum Phase (비최소 위상을 갖는 외팔보에서 SVD를 이용한 역변환 문제에 관한 연구)

  • 이상권;노경래;박진호
    • Transactions of the Korean Society for Noise and Vibration Engineering
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    • v.11 no.9
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    • pp.431-438
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    • 2001
  • This paper present experimental results of source identification for non-minimum phase system. Generally, a causal linear system may be described by matrix form. The inverse problem is considered as a matrix inversion. Direct inverse method can\`t be applied for a non-minimum phase system, the reason is that the system has ill-conditioning. Therefore, in this study to execute an effective inversion, SVD inverse technique is introduced. In a Non-minimum phase system, its system matrix may be singular or near-singular and has one more very small singular values. These very small singular values have information about a phase of the system and ill-conditioning. Using this property we could solve the ill-conditioned problem of the system and then verified it for the practical system(cantilever beam). The experimental results show that SVD inverse technique works well for non-minimum phase system.

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Regional Balanced Development Policy Leverage in the Capital and Non-Capital Areas : Focusing on Local Function Concentration and Dispersion Structure (수도권과 비수도권의 지역균형발전 정책 레버리지 탐색 : 지역의 기능 집중·분산 구조를 중심으로)

  • Lee, Jin-Hee;Lee, Man-Hyung
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.20 no.12
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    • pp.502-512
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    • 2019
  • To examine the problem structure of balanced regional development policy and identify the causes of the gap between the capital and non-capital areas, this study examined the causal structure in terms of the concentration and distribution of functions in the metropolitan area and non-capital area and explored the policy leverage. As a research method, the causal map was drawn using System Dynamics techniques and policy leverage was derived through an exploration of the feedback structure. In particular, the causes of the problems in balanced regional development policies were approached by system accidents rather than by single-circuit accidents, and causality analysis was performed among the variables constituting balanced regional development policies based on system accidents. In particular, it singled out 31 variables, developed 13 feedback loops, and confirmed four major policy leverages, including relocation of the capital function, local decentralization policies, consistent development, and investment practices centered on the Non­Capital Area. Subsequently, a follow-up study by computer simulation is needed by modeling the structure of the system to identify the ripple effect of the policies of the Capital Area on the Non­Capital Area.

A Causal Model Analysis of Non-Cognitive Characteristics of Mathematics Learning (수학학습 정의적 영역에 대한 인과 모형 분석)

  • Lee, Hwan Chul;Kim, Hyung Won;Baeck, SeungGeun;Ko, Ho Kyoung;Yi, Hyun Sook
    • Communications of Mathematical Education
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    • v.31 no.2
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    • pp.187-201
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    • 2017
  • The study in this paper, which is part of a bigger study investigating non-cognitive characteristics of Korean students at the 4-12 grade levels, aims to identify the influential characteristics that explain students' decision to give up on mathematics learning. We consider seven non-cognitive student characteristics: value, interest, attitudes, external motivation, internal motivation, learning conation and efficacy. Data were collected from 21,485 Korean students, and were analyzed with a logistic regression method using SPSS. The findings show that efficacy was the most significant indicator of students' decision to give up on mathematics learning in all three grade level bands: elementary (4th-6th), middle (7th-9th) and high (10th-12th). In particular, the causal model analysis shows that students who highly value mathematics tend to have stronger internal and external motivation, which bring about stronger interest and learning conation, which in turn lead to positive attitudes and strong efficacy regarding the learning of mathematics. It was further found that while external motivation was a significant indicator of upper grade level students' decision to give up on mathematics learning, it was only a moderate indicator for lower grade level students. The findings of this study provide useful information about which non-cognitive areas need to be focused on, in what grade levels, to help students stay on track and not fall behind in learning mathematics.

FPGA Design of Open-Loop Frame Prediction Processor for Scalable Video Coding (스케일러블 비디오 코딩을 위한 Open-Loop 프레임 예측 프로세서의 FPGA 설계)

  • Seo Young-Ho
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.31 no.5C
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    • pp.534-539
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    • 2006
  • In this paper, we propose a new frame prediction filtering technique and a hardware(H/W) architecture for scalable video coding. We try to evaluate MCTF(motion compensated temporal filtering) and hierarchical B-picture which are a technique for eliminate correlation between video frames. Since the techniques correspond to non-causal system in time, these have fundamental defects which are long latency time and large size of frame buffer. We propose a new architecture to be efficiently implemented by reconfiguring non-causal system to causal system. We use the property of a repetitive arithmetic and propose a new frame prediction filtering cell(FPFC). By expanding FPFC we reconfigure the whole arithmetic architecture. After the operational sequence of arithmetic is analyzed in detail and the causality is imposed to implement in hardware, the unit cell is optimized. A new FPFC kernel was organized as simple as possible by repeatedly arranging the unit cells and a FPFC processor is realized for scalable video coding.

A System Dynamics View of Safety Management in Small Construction Companies

  • Guo, Brian H.W.;Yiu, Tak Wing;Gonzalez, Vicente A.
    • International conference on construction engineering and project management
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    • 2015.10a
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    • pp.92-96
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    • 2015
  • Due to unique characteristics of small construction companies, safety management is comprised of complex problems (e.g., resources constraints, a lack of formalized management structures, low level of management safety commitment etc.). In order to understand causal interdependencies between safety factors at different system levels (regulation, organization, technical and individual), this paper aims to develop a system dynamics (SD) model of safety management in small construction companies. The purpose of the SD model is to better understand why small construction companies have low level of safety performance. A causal loop diagram (CLD) was developed based on literature, with an attempt to map causal relationships between variables. The CLD was then converted into stock and flow diagram for simulation. Various tests were conducted to build confidence in the model's ability to represent the reality. A number of policies were analyzed by changing the value of parameters. The value of a system dynamics approach to safety management in small construction companies is its ability to address joint effects of multiple safety risk factors on safety performance with a systems thinking perspective. By taking into account feedback loops and non-linear relationships, such a system dynamics model provides insights into the complex causes of relatively poor safety performance of small construction companies and improvement strategies.

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Causal Replay for Cyclic Debugging of MPI Parallel Programs (MPI 병렬 프로그램의 순환 디버깅을 위한 인과관계 재실행)

  • Hong, Cheol-Eui;Kim, Yeong-Joon
    • Journal of KIISE:Computer Systems and Theory
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    • v.28 no.9
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    • pp.424-433
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    • 2001
  • The cyclic debugging approach often fails for message passing parallel programs because they non-deterministic characteristics due to message race conditions. This paper identifies the MPI events that affect non-deterministic executions, and then converts the concurrent execution to the sequential one that is controlled in order to make it equivalent to a reference execution by keeping their orders of events in two executions identical. This paper also presents an efficient algorithm for the causal distributed breakpoint which is initiated by any sequential breakpoint in one process, and restores each process to the earliest state that reflects all events that happened causally before the sequential breakpoint. So a cyclic debugging approach can be used in debugging MPI parallel programs as like as in debugging sequential programming environments.

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Basic Research for Causal Analysis of a Low-rate of G-SEED Certified Apartment Buildings

  • Kim, JungHwa;Lee, Hyun-Soo;Park, Moonseo;Lee, Seulbi
    • International conference on construction engineering and project management
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    • 2015.10a
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    • pp.728-729
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    • 2015
  • As environmental issues have been increased globally, eco-friendliness in the construction area, which accounts for more than 30% of total GHG gas emission has being urged. In response, the Korean government has implemented G-SEED(Green Standard for Energy and Environmental Design) certification from 2002. However, total number of certified apartment buildings is only around 1% of total number of approved apartment buildings. As a basic research to find out reasons of low rate of the certification, this paper analyzes consumers' decision-making process in G-SEED certified apartment building market comparing to non G-SEED certified one and draw System Dynamics modeling based on causal relationship. As a result, consumers' demand for the certified one is increased by 'Perceived Relative Utility' which is resulted from comparison process with non-certified one. The 'Perceived Relative Utility' is ascended upward steadily by 'Relative Perceived Price' considered as relatively short-term effect and 'Favorable Image of Certified Housing' referred to long-term effect.

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On Determinants of Physician Utilization -A causal analysis- (의료이용(醫療利用)에 영향(影響)을 미치는 요인(要因)에 관(關)한 분석(分析))

  • Bae, Sang-Soo
    • Journal of Preventive Medicine and Public Health
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    • v.18 no.1
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    • pp.13-24
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    • 1985
  • This study seeks to provide a framework for understanding differential access to medical care. The framework is provided by Anderson Model, a model of health services utilization which suggests a sequence of predisposing, enabling, illness-morbidity characteristics that determine the number of times people will visit a physician. The framework in this study is composed of two models, one is for Adults and the other is for Non-Adults. Models are operationalized using stepwise multiple regression analysis and path analysis. The data come from a national health survey conducted in 1983. The findings of the analysis can be summarized as follows : First, the causal models used in this study are able to explain only a small amount of the variance in medical care utilization(Adjusted $R^2$ is .144 in the Model for Adults and .243 in that for Non-Adults). This finding suggests that we reconsider the utility of such existing model using the predisposing, enabling, and illness-morbidity characteristics in light of their poor correspondence with these data. Second, while small amount of the valiance in medical care utilization is explained, most of the explained variance is due to the illness-morbidity characteristics. The path coefficients of study variables except illness-morbidity variables show these characteristics to be substantially unrelated to medical care utilization, and the indirect effects of the predisposing and edabling characteristics on medical care utilization are also negligible. This casts doubt on the importance of the predisposing and enabling characteristics in explaining medical care utilization. Third, among the predisposing and enabling characteristics, Medical Security variable is the only one having significant direct effect on medical care utilization in both models for Adults and for Non-Adults. Fourth, the amount of the variance explained in the Model for Non-Adults is more than in the Model for Adults. This suggests that medical care utilization of adults is more influenced by behavioral factors than that of children.

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The Causal Relationship between Maternal Parenting Stress and Self-Efficacy by Employment Status (어머니의 취업여부에 따른 양육스트레스와 자기효능감 간의 인과적 종단관계 분석)

  • Shin, Nary;Ahn, Jaejin
    • Korean Journal of Child Studies
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    • v.35 no.5
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    • pp.135-154
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    • 2014
  • This study examined the causal relationships between parenting stress and self-efficacy of Korean mothers with an infant according to employment status using the second through fourth wave data of the Panel Study of Korean Children (PSKC). Autoregressive cross-lagged modeling was performed to test the longitudinal reciprocal relationships between the two constructs. Our results indicated that both maternal parenting stress and self-efficacy were consistent over time. The results also indicated that there was a significant cross-lagged effect of maternal parenting stress on their self-efficacy, rather than vice versa. No differences between working and non-working mothers were found in the relationship between the two constructs.