22 research outputs found
ํฐ ๊ทธ๋ํ ์์์์ ๊ฐ์ธํ๋ ํ์ด์ง ๋ญํฌ์ ๋ํ ๋น ๋ฅธ ๊ณ์ฐ ๊ธฐ๋ฒ
ํ์๋
ผ๋ฌธ (๋ฐ์ฌ) -- ์์ธ๋ํ๊ต ๋ํ์ : ๊ณต๊ณผ๋ํ ์ ๊ธฐยท์ปดํจํฐ๊ณตํ๋ถ, 2020. 8. ์ด์๊ตฌ.Computation of Personalized PageRank (PPR) in graphs is an important function that is widely utilized in myriad application domains such as search, recommendation, and knowledge discovery. Because the computation of PPR is an expensive process, a good number of innovative and efficient algorithms for computing PPR have been developed. However, efficient computation of PPR within very large graphs with over millions of nodes is still an open problem. Moreover, previously proposed algorithms cannot handle updates efficiently, thus, severely limiting their capability of handling dynamic graphs. In this paper, we present a fast converging algorithm that guarantees high and controlled precision. We improve the convergence rate of traditional Power Iteration method by adopting successive over-relaxation, and initial guess revision, a vector reuse strategy. The proposed method vastly improves on the traditional Power Iteration in terms of convergence rate and computation time, while retaining its simplicity and strictness. Since it can reuse the previously computed vectors for refreshing PPR vectors, its update performance is also greatly enhanced. Also, since the algorithm halts as soon as it reaches a given error threshold, we can flexibly control the trade-off between accuracy and time, a feature lacking in both sampling-based approximation methods and fully exact methods. Experiments show that the proposed algorithm is at least 20 times faster than the Power Iteration and outperforms other state-of-the-art algorithms.๊ทธ๋ํ
๋ด์์ ๊ฐ์ธํ๋ ํ์ด์ง๋ญํฌ (P ersonalized P age R ank, PPR ๋ฅผ ๊ณ์ฐํ๋ ๊ฒ์ ๊ฒ์ , ์ถ์ฒ , ์ง์๋ฐ๊ฒฌ ๋ฑ ์ฌ๋ฌ ๋ถ์ผ์์ ๊ด๋ฒ์ํ๊ฒ ํ์ฉ๋๋ ์ค์ํ ์์
์ด๋ค . ๊ฐ์ธํ๋ ํ์ด์ง๋ญํฌ๋ฅผ ๊ณ์ฐํ๋ ๊ฒ์ ๊ณ ๋น์ฉ์ ๊ณผ์ ์ด ํ์ํ๋ฏ๋ก , ๊ฐ์ธํ๋ ํ์ด์ง๋ญํฌ๋ฅผ ๊ณ์ฐํ๋ ํจ์จ์ ์ด๊ณ ํ์ ์ ์ธ ๋ฐฉ๋ฒ๋ค์ด ๋ค์ ๊ฐ๋ฐ๋์ด์๋ค . ๊ทธ๋ฌ๋ ์๋ฐฑ๋ง ์ด์์ ๋
ธ๋๋ฅผ ๊ฐ์ง ๋์ฉ๋ ๊ทธ๋ํ์ ๋ํ ํจ์จ์ ์ธ ๊ณ์ฐ์ ์ฌ์ ํ ํด๊ฒฐ๋์ง ์์ ๋ฌธ์ ์ด๋ค . ๊ทธ์ ๋ํ์ฌ , ๊ธฐ์กด ์ ์๋ ์๊ณ ๋ฆฌ๋ฌ๋ค์ ๊ทธ๋ํ ๊ฐฑ์ ์ ํจ์จ์ ์ผ๋ก ๋ค๋ฃจ์ง ๋ชปํ์ฌ ๋์ ์ผ๋ก ๋ณํํ๋ ๊ทธ๋ํ๋ฅผ ๋ค๋ฃจ๋ ๋ฐ์ ํ๊ณ์ ์ด ํฌ๋ค . ๋ณธ ์ฐ๊ตฌ์์๋ ๋์ ์ ๋ฐ๋๋ฅผ ๋ณด์ฅํ๊ณ ์ ๋ฐ๋๋ฅผ ํต์ ๊ฐ๋ฅํ , ๋น ๋ฅด๊ฒ ์๋ ดํ๋ ๊ฐ์ธํ๋ ํ์ด์ง๋ญํฌ ๊ณ์ฐ ์๊ณ ๋ฆฌ๋ฌ์ ์ ์ํ๋ค . ์ ํต์ ์ธ ๊ฑฐ๋ญ์ ๊ณฑ๋ฒ (Power ์ ์ถ์ฐจ๊ฐ์์ํ๋ฒ (Successive Over Relaxation) ๊ณผ ์ด๊ธฐ ์ถ์ธก ๊ฐ ๋ณด์ ๋ฒ (Initial Guess ์ ํ์ฉํ ๋ฒกํฐ ์ฌ์ฌ์ฉ ์ ๋ต์ ์ ์ฉํ์ฌ ์๋ ด ์๋๋ฅผ ๊ฐ์ ํ์๋ค . ์ ์๋ ๋ฐฉ๋ฒ์ ๊ธฐ์กด ๊ฑฐ๋ญ์ ๊ณฑ๋ฒ์ ์ฅ์ ์ธ ๋จ์์ฑ๊ณผ ์๋ฐ์ฑ์ ์ ์ง ํ๋ฉด์ ๋ ์๋ ด์จ๊ณผ ๊ณ์ฐ์๋๋ฅผ ํฌ๊ฒ ๊ฐ์ ํ๋ค . ๋ํ ๊ฐ์ธํ๋ ํ์ด์ง๋ญํฌ ๋ฒกํฐ์ ๊ฐฑ์ ์ ์ํ์ฌ ์ด์ ์ ๊ณ์ฐ ๋์ด ์ ์ฅ๋ ๋ฒกํฐ๋ฅผ ์ฌ์ฌ์ฉํ ์ฌ , ๊ฐฑ์ ์ ๋๋ ์๊ฐ์ด ํฌ๊ฒ ๋จ์ถ๋๋ค . ๋ณธ ๋ฐฉ๋ฒ์ ์ฃผ์ด์ง ์ค์ฐจ ํ๊ณ์ ๋๋ฌํ๋ ์ฆ์ ๊ฒฐ๊ณผ๊ฐ์ ์ฐ์ถํ๋ฏ๋ก ์ ํ๋์ ๊ณ์ฐ์๊ฐ์ ์ ์ฐํ๊ฒ ์กฐ์ ํ ์ ์์ผ๋ฉฐ ์ด๋ ํ๋ณธ ๊ธฐ๋ฐ ์ถ์ ๋ฐฉ๋ฒ์ด๋ ์ ํํ ๊ฐ์ ์ฐ์ถํ๋ ์ญํ๋ ฌ ๊ธฐ๋ฐ ๋ฐฉ๋ฒ ์ด ๊ฐ์ง์ง ๋ชปํ ํน์ฑ์ด๋ค . ์คํ ๊ฒฐ๊ณผ , ๋ณธ ๋ฐฉ๋ฒ์ ๊ฑฐ๋ญ์ ๊ณฑ๋ฒ์ ๋นํ์ฌ 20 ๋ฐฐ ์ด์ ๋น ๋ฅด๊ฒ ์๋ ดํ๋ค๋ ๊ฒ์ด ํ์ธ๋์์ผ๋ฉฐ , ๊ธฐ ์ ์๋ ์ต๊ณ ์ฑ๋ฅ ์ ์๊ณ ๋ฆฌ ๋ฌ ๋ณด๋ค ์ฐ์ํ ์ฑ๋ฅ์ ๋ณด์ด๋ ๊ฒ ๋ํ ํ์ธ๋์๋ค1 Introduction 1
2 Preliminaries: Personalized PageRank 4
2.1 Random Walk, PageRank, and Personalized PageRank. 5
2.1.1 Basics on Random Walk 5
2.1.2 PageRank. 6
2.1.3 Personalized PageRank 8
2.2 Characteristics of Personalized PageRank. 9
2.3 Applications of Personalized PageRank. 12
2.4 Previous Work on Personalized PageRank Computation. 17
2.4.1 Basic Algorithms 17
2.4.2 Enhanced Power Iteration 18
2.4.3 Bookmark Coloring Algorithm. 20
2.4.4 Dynamic Programming 21
2.4.5 Monte-Carlo Sampling. 22
2.4.6 Enhanced Direct Solving 24
2.5 Summary 26
3 Personalized PageRank Computation with Initial Guess Revision 30
3.1 Initial Guess Revision and Relaxation 30
3.2 Finding Optimal Weight of Successive Over Relaxation for PPR. 34
3.3 Initial Guess Construction Algorithm for Personalized PageRank. 36
4 Fully Personalized PageRank Algorithm with Initial Guess Revision 42
4.1 FPPR with IGR. 42
4.2 Optimization. 49
4.3 Experiments. 52
5 Personalized PageRank Query Processing with Initial Guess Revision 56
5.1 PPR Query Processing with IGR 56
5.2 Optimization. 64
5.3 Experiments. 67
6 Conclusion 74
Bibliography 77
Appendix 88
Abstract (In Korean) 90Docto
์ํ์ค ๊ธฐ๋ฐ 3์ฐจ์ ๋ค์ธ ์์ธ ์ถ์ ์ ์ํ ๊ธฐํํ์ ๋ฐ์ดํฐ ์ฆ๊ฐ ๊ธฐ๋ฒ
ํ์๋
ผ๋ฌธ(์์ฌ) -- ์์ธ๋ํ๊ต๋ํ์ : ๋ฐ์ดํฐ์ฌ์ด์ธ์ค๋ํ์ ๋ฐ์ดํฐ์ฌ์ด์ธ์คํ๊ณผ, 2023. 2. ์ด์ค์.3D pose estimation is an invaluable task in computer vision with various practical applications. Recently, a Transformer-based sequence-to-sequence model, MixSTE [60], has been successfully applied to 3D single-person pose estimation by decoupling the 2Dto-3D modeling from pixel-level details. We propose a natural extension of this model from single-person to multi-person problem, adding a novel inter-personal attention for 2D-to-3D lifting. Naturally referring to neighboring frames, this design is highly robust in handling occlusions. However, 3D multi-person pose estimation is still challenging due to extreme data scarcity. From an observation that our 2D-to-3D lifting approach is free from pixel-level details, we propose a novel geometry-aware data augmentation that allows us to infinitely generate diverse training examples from existing single-person trajectories. From extensive experiments on standard benchmarks, we verify that our model and data augmentation method achieve the state-of-the-art, not just on accuracy but also on smoothness. We also qualitatively demonstrate the effectiveness of our approach both on public benchmarks and with in-the-wild videos.์ปดํจํฐ ๋น์ ์ ๊ธฐ๋ฐํ 3์ฐจ์ ์์ธ ์ถ์ (3D Pose Estimation)์ ๋งค์ฐ ๋ค์ํ ๋ถ์ผ์ ์์ฉ๋ ์ ์๊ธฐ ๋๋ฌธ์ ํฐ ๊ฐ์น๊ฐ ์๋ค. ์ต๊ทผ, ํธ๋์คํฌ๋จธ(Transformer) ๋ชจ๋ธ ๊ธฐ๋ฐ์ ์ํ์ค-์ํ์ค(Sequence-tosequence) ๋ชจ๋ธ์ธ MixSTE [60] ์ ๋จ์ผ ๊ฐ์ฒด(์ฌ๋) 3์ฐจ์ ์์ธ ์ถ์ ์์ 2์ฐจ์ ์์ธ๋ก๋ถํฐ์ 3์ฐจ์ ์์ธ ์ถ์ (2D-to-3D Lifting)์ ๋ฐฉ๋ฒ์ ํ์ฉํ์ฌ ์ฑ๊ณต์ ์ธ ๊ฒฐ๊ณผ๋ฅผ ๊ฑฐ๋ ๋ฐ ์๋ค. ๋ณธ ์ฐ๊ตฌ๋ ์ด์ ํ์ฅ์ผ๋ก์จ ๋ค์ค ๊ฐ์ฒด 3์ฐจ์ ์์ธ ๋ฌธ์ ๋ฅผ ๋ค๋ฃจ๋ฉฐ, ๊ธฐ์กด ์ฐ๊ตฌ์ ๋น๊ตํด ๋ฑ์ฅํ๋ ๊ฐ์ฒด๊ฐ ์ ๋ณด์ ์ํธ ์ฐธ์กฐ(Inter-Personal Attention) ๋ชจ๋์ ์๋ก์ด ์ถ๊ฐํ์๋ค. ๋ชจ๋ธ ๊ตฌ์กฐ์ ๊ธฐ๋ฐํ์ฌ ์ํธ ์ธ์ ํ๋ ์ ์ ๋ณด๋ฅผ ์์ฐ์ค๋ฝ๊ฒ ์ฐธ์กฐํจ์ผ๋ก์จ, ๋ณธ ์ฐ๊ตฌ์์ ๊ณ ์ํ ๋ชจ๋ธ์ ์ํธ ๊ฐ๋ ค์ง ํ์์ ๊ฐ์ธํ ์ฑ๋ฅ์ ๋ณด์๋ค. ํ์ง๋ง, ๋ค์ค ๊ฐ์ฒด 3์ฐจ์ ์์ธ ์ถ์ ์ ๋ฐ์ดํฐ ๋ถ์กฑ ํ์์ด๋ผ๋ ๊ณ ์ง์ ์ธ ๋ฌธ์ ๋ฅผ ์ง๋๋ค. ๋ณธ ์ฐ๊ตฌ์ ๋ฐฉ๋ฒ๋ก ์ ํฝ์
์์ค์ ๋ํ
์ผ์์ ๋ฒ์ด๋, 2์ฐจ์ ์์ธ์ 3์ฐจ์ ์์ธ ๊ฐ์ ๊ด๊ณ๋ฅผ ๋ค๋ฃจ๊ธฐ์, ์ฃผ์ด์ง ๋ฐ์ดํฐ์ ์นด๋ฉ๋ผ ํ๋ผ๋ฏธํฐ์ ๊ธฐ๋ฐํ์ฌ ๋ฐ์ดํฐ๋ฅผ ์ฌ์ค์ ๋ฌด์ ํ์ ์ผ๋ก ์ฆ๊ฐํ ์ ์๋ค๋ ๊ฐ์ ์ ์ง๋๋ค. ๋ณธ ๋ถ์ผ์์ ์ฑ๋ฅ ์ธก์ ๋ฐ ๋น๊ต๋ฅผ ์ํ ๋ํ์ ์ธ ์คํ์ฉ ๋ฐ์ดํฐ์
์์ ์ฑ๋ฅ์ ์ธก์ ํ ๊ฒฐ๊ณผ, ๋ณธ ์ฐ๊ตฌ์์ ๊ณ ์ํ ๋ชจ๋ธ์ ์ ํ๋ ๋ฟ๋ง ์๋๋ผ ์ถ๋ ฅ ๊ฒฐ๊ณผ์ ๋ถ๋๋ฌ์ ๋ ์ธก๋ฉด์์ ๋ชจ๋ ์ฌํ ๊ธฐ์กด ๋ชจ๋ธ๊ณผ ๋น๊ตํด ๊ฐ์ฅ ํ๋ฅญํ ์ฑ๋ฅ์ ๋ณด์๋ค. ๋์๊ฐ, ํ
์คํธ์ฉ ๋ฐ์ดํฐ์
๋ฟ๋ง ์๋๋ผ ๋ค์ํ ์์ค ๋น๋์ค์์๋ ํ๋ฅญํ ์ฑ๋ฅ์ ๋ณด์์ผ๋ก์จ ์ฐ๊ตฌ์ ์์
์ ๊ฐ์น ๋ํ ์
์ฆํ์๋ค.Chapter 1. Introduction 1
Chapter 2. Related Work 5
Chapter 3. Problem Formulation and Notations 8
Chapter 4. The POTR-3D Model 9
Chapter 5. Geometry-Aware Data Augmentation 16
Chapter 6. Experiments 22
Chapter 7. Summary 35
Bibliography 37
Abstract in Korean 44์
A Study on the Effect of Navy CollaborativeLeadership on Organizational Effectiveness
Korea is currently faced with Chinaโs military growth, denuclearization talks with North Korea, preparations against non-military transnational threats, and changes in the security environment where there is an increased use of peace-keeping forces. Furthermore, Korea must create a powerful military force that can be victorious by strengthening the efficiency of military organizations and future-orientation based on information science technologies, while also being reborn as a military that can defeat any threat. A key element to solve this imperative task is leadership. Military leadership today is changing from the push method to encourage subordinates to achieve the goal of the organization by exercising direct influence towards a pull method of setting examples as a leader for hard and difficult tasks so that subordinates can follow suit. It is shifting from being based on rank that uses authority by position as the main source of influence to being based on functions that use oneโs operational functions as the source of influence.
Trust, communication and the level of cooperation is closely associated within an organization. Due to globalization, emphasis on environment, spread of information technologies, and the shift to a scientific and social paradigm, todayโs society emphasizes the importance of leadership within an organization. Recent leadership research trends are shifting from single leadership by individuals to shared leadership, and from position-based leaders to team work processes, and from competition with other departments to mutual cooperation, and from systematic leadership to flexible leadership. Collaborative leadership is the series of processes that forms trust among members, communicating horizontally, and delegating authorities to members during the course of decision-making and pursuing operations so that members can voluntarily participate in duties so that the leader can complete a given mission.
Studies on collaborative leadership are being carried out in some foreign countries and excluding conceptual research at the naval leadership center and a handful of studies made in Koreaโs administrative academic circles, there are very few research outcomes in Korea. Accordingly, in order to construct a theoretical basis through literary research, this study reviewed domestic and foreign research theses including collaborative leadership books published by the naval education institutes to explore the sub-components of collaborative leadership and analyzed its impact on organizational effectiveness (job satisfaction, Organizational Commitment) using statistical methods. Furthermore, in empirical research, surveys were administered to officers of naval ships and land units located in C to empirically analyze the impact of collaborative leadership on organizational effectiveness to verify the hypothesis through statistical analysis.
When considering the special characteristics of military organizations, there must be a leadership theory targeting a military organization. The army has developed mission-based commands so that all commanding officers can lead missions within their given authority, but mission-based commands have not been theoretically established to fit naval missions and work environments. Naval missions are often conducted over-the-horizon and outside of visible ranges, and traditionally, battle functions under network systems and cooperative combat capacities with different echelons are given particular importance. Naval fleets are comprised of complex weapons systems and it is has a complex composition of various departments and personnel that are in charge of specialized functions and roles. Therefore, operation of naval vessels can also be successful only through organic cooperation of various specialized work competence systems and thus, I judged that it was necessary to conduct empirical research on the effectiveness of collaborative leadership to emphasize the critical importance of applying collaborative leadership in the navy. Hence, the purpose of this study is to examine the impact of collaborative leadership on organizational effectiveness and to empirically analyze sub-factors that affect organizational effectiveness.
The results of this study can be summarized as follows. Hypothesis 1 is โCollaborative leadership should affect job satisfactionโ and a more detailed Hypothesis 1-1 is โThe level of procedural collaboration within an organization should affect the level of job satisfactionโ. Results of verification of this showed that procedural collaboration had a positive (+) impact on work satisfaction (ฮฒ=.532, p<.001) and the descriptive power was analyzed to be 28.2%, thus having the same results as the hypothesis, and therefore, Hypothesis 1-1 was adopted. Hypothesis 1-2 was โThe level of cognitive collaboration within an organization should affect job satisfactionโ. Results of verification on this showed that cognitive collaboration had a positive (+) impact on job satisfaction (ฮฒ=.418, p<.001) and therefore, Hypothesis 1-2 was also adopted. Hypothesis 1-3 was โThe level of structural collaboration within an organization should affect work satisfactionโ. Results of verification on this showed that structural collaboration had a positive (+) impact (ฮฒ=.485, p<.001) and its descriptive power was analyzed to be 23.4%, and since the results were consistent with the hypothesis, Hypothesis 1-3 was adopted.
Hypothesis 2 wasโCollaborative leadership should affect organizational commitmentโ. The more detailed Hypothesis 2-1 was โThe level of procedural collaboration within an organization should affect organizational commitmentโ. Results of verification on this showed that procedural collaboration had a positive (+) impact on Organizational Commitment (ฮฒ=.561, p<.001) and descriptive power on this was analyzed to be 31.1%, thus having results consistent with the hypothesis, and therefore, Hypothesis 2-1 was adopted. Hypothesis 2-2 was โThe level of cognitive collaboration within an organization should affect organizational commitmentโ. Results of verification on this showed that cognitive collaboration had a positive (+) impact on organizational commitment (ฮฒ=.437, p<.001) and the descriptive power was analyzed to be 19.0% and results were consistent with the hypothesis, so Hypothesis 2-2 was also adopted. Hypothesis 2-3 was โThe level of structural collaboration within an organization should affect organizational commitmentโ. Results of verification on this showed that structural collaboration had a positive (+) impact (ฮฒ=.485, p<.001) and the descriptive power for this was 20.3%, thus being consistent with the hypothesis, and therefore, Hypothesis 2-3 was also adopted.
Among the sub-components of collaborative leadership, procedural collaboration had high impact on job satisfaction (R2=.282, p<.001) and organizational commitment (R2=.313, p<.001), and this shows that procedural collaboration is a very important component in applying collaborative leadership in naval organizations. Meanwhile, the level of cognitive cooperation was the component with the smallest impact on job satisfaction (R2=.173 p<.001) and organizational commitment (R2=.190, p<.001). It is evident that in order to overcome this, it is necessary to complete duties through assertive development of competencies such as continuous learning and education for individuals, while also providing opportunities to enhance the expertise of individuals.
This study investigated the sub-components of collaborative leadership that stopped short as conceptual studies and sought after sub-components that included the concepts of trust, horizontal communication and delegation of authorities proposed by the naval leadership center. Furthermore, it empirically analyzed the relationship of effects between collaborative leadership and organizational effectiveness for military officers currently serving in the navy to provide basic data for practical use of collaborative leadership, thus making this study significant. Furthermore, the components of collaborative leadership were checked based on various definitions in preceding studies, while scales for measuring this were revised and supplemented to fit naval organizations to systematically verify the feasibility of the contents and composition, thus making this study significant.
This study is practically the first study that set up the concept of collaborative leadership. It is anticipated that research on collaborative leadership fitting the characteristics of the navy will continue to expand in the future and such research results will contribute to the development of naval organizations.์ 1์ฅ ์ ๋ก 1
์ 1์ ์ฐ๊ตฌ์ ๋ฐฐ๊ฒฝ๊ณผ ๋ชฉ์ 1
1. ์ฐ๊ตฌ์ ๋ฐฐ๊ฒฝ 1
2. ์ฐ๊ตฌ์ ๋ชฉ์ 5
์ 2์ ์ฐ๊ตฌ์ ๋ฐฉ๋ฒ ๋ฐ ๋
ผ๋ฌธ์ ๊ตฌ์ฑ 6
์ 2์ฅ ์ด๋ก ์ ๋ฐฐ๊ฒฝ 7
์ 1์ ๋ฆฌ๋์ญ ๊ฐ๋
7
1. ๋ฆฌ๋์ญ์ ์ ์ 7
2. ๋ฆฌ๋์ญ ์ฐ๊ตฌ์ ๋ณ์ฒ ๊ณผ์ 7
์ 2์ ํ๋ ฅ์ ๋ฆฌ๋์ญ 10
1. ํ๋ ฅ์ ๋ฆฌ๋์ญ์ ๊ฐ๋
๋ฐ ์ ์ 10
2. ํ๋ ฅ์ ๋ฆฌ๋์ญ์ ์ ํ ์ฐ๊ตฌ 14
3. ํ๋ ฅ์ ๋ฆฌ๋์ญ์ ๊ตฌ์ฑ ์์ 17
์ 3์ ํ๋ ฅ์ ๋ฆฌ๋์ญ๊ณผ ์กฐ์ง์ ํจ์ฑ 26
1. ์กฐ์ง์ ํจ์ฑ์ ๊ฐ๋
26
2. ํ๋ ฅ์ ๋ฆฌ๋์ญ๊ณผ ์ง๋ฌด๋ง์กฑ 30
3. ํ๋ ฅ์ ๋ฆฌ๋์ญ๊ณผ ์กฐ์ง๋ชฐ์
32
์ 3์ฅ ๊ตญ๋ฐฉํ๊ฒฝ ๋ณํ์ ํด๊ตฐ๋ฆฌ๋์ญ 34
์ 1์ ๊ตญ๋ฐฉํ๊ฒฝ ๋ณํ 34
1. ๊ตญ๋ฐฉ๊ฐํ ๊ฐ์ 34
2. ๊ตญ๋ฐฉํ๊ฒฝ ๋ณํ ์ถ์ธ 35
์ 2์ ๊ตฐ ๋ฆฌ๋์ญ ๋ณํ 41
1. ๊ตฐ ๋ฆฌ๋์ญ์ ์ ์ 41
2. ๊ตฐ ๋ฆฌ๋์ญ์ ํน์ฑ 42
3. ๊ตฐ ๋ฆฌ๋์ญ์ ๋ณํ 43
4. ๊ตฐ ๋ฆฌ๋์ญ ์ฐ๊ตฌ ๊ฒฝํฅ์ ๋ฌธ์ ์ 45
์ 3์ ํด๊ตฐ ๋ฆฌ๋์ญ์ ํน์ฑ 47
1. ํด๊ตฐ ์์ ํ๊ฒฝ์ ์ ํฉํ ๋ฆฌ๋์ญ ํน์ฑ 47
2. ํด์ํ๊ฒฝ์ ์ ํฉํ ๋ฆฌ๋์ญ ํน์ฑ 48
3. ํด๊ตฐ๋ฆฌ๋์ญ ๊ต์กํํฉ ๋ถ์ 50
์ 4์ฅ ์ฐ๊ตฌ์ ์ค๊ณ 52
์ 1์ ์ฐ๊ตฌ๋ชจํ ๋ฐ ๊ฐ์ค์ ์ค์ 52
1. ์ฐ๊ตฌ๋ชจํ ์ค๊ณ 52
2. ๊ฐ์ค์ค์ 52
3. ๋ณ์์ ์กฐ์์ ์ ์ 54
์ 5์ฅ ์ค์ฆ๋ถ์ 57
์ 1์ ์กฐ์ฌ์ ๊ฐ์ 57
1. ์ค๋ฌธ์กฐ์ฌ์ ๊ฐ์ 57
2. ์์ง๋ ์๋ฃ์ ํน์ฑ 59
์ 2์ ํ๋น์ฑ ๋ฐ ์ ๋ขฐ๋ ๊ฒ์ฆ 62
1. ํ๋น์ฑ ๊ฒ์ฆ 62
2. ์ ๋ขฐ์ฑ ๊ฒ์ฆ 68
์ 3์ ๊ฐ์ค์ ๊ฒ์ฆ๊ฒฐ๊ณผ 69
1. ๊ฐ์ค๊ฒ์ฆ ๊ฒฐ๊ณผ 69
2. ์ถ๊ฐ ํต๊ณ๋ถ์ 76
์ 6 ์ฅ ๊ฒฐ ๋ก 92
์ 1์ ์ฐ๊ตฌ๊ฒฐ๊ณผ์ ์์ฝ 92
์ 2์ ์ฐ๊ตฌ์ ์์ฌ์ 95
์ 3์ ์ฐ๊ตฌ์ ํ๊ณ์ ๋ฐ ํฅํ ์ฐ๊ตฌ๋ฐฉํฅ 97
๊ฐ์ฌ์ ๊ธ 98
์ฐธ๊ณ ๋ฌธํ 99
์ค ๋ฌธ ์ง 113Docto
The Prophylactic Impact of Low Molecular Weight Heparin on Occurrence of Venous Thromboembolism after Colorectal Cancer Resection
Purpose: In western society, prophylaxis for venous thromboembolism (VIE) is the standard treatment under colorectal surgery for colorectal cancer. However, the incidence of VIE after colorectal surgery and the effect of prophylactic methods are not well known in Korea. The aim of this study is to evaluate the incidence of VIE and assess the efficacy and safety of low molecular weight heparin (enoxaparin) after major colorectal surgery in Korean patients with compression stockings. Methods: From Jan. 2006 to Dec. 2008, 1,727 consecutive patients underwent major colorectal surgery. Thirty-six were excluded due to the therapeutic use of enoxaparin. A final number of 1,691 patients were included. Graduated compression stockings were used in all patients and 654 were perioperatively given enoxaparin. Only compression stocking group (group A) and compression stocking with enoxaparin group (group B) were compared in terms of VTE. The event of VIE within 6 months after surgery was counted by clinical symptoms, then imaging findings were used for confirmation. Results: Total VIE developed in 10 patients (0.6%). Three with deep vein thrombosis had pulmonary embolism. Two had only pulmonary embolism. The rates of VTE were not different between group A and B (0.8% vs. 0.3%, P=0.333). Also, postoperative major bleeding was not significantly different. However, postoperative transfusion was higher in group B (P<0.001). Conclusion: The incidence of VTE was very low after colorectal surgery in Korean patients with compression stockings. The additional use of enoxaparin for colorectal cancer patients with compression stockings seems to have little benefit for VIE prophylaxis.
์์ ํ์ ๋ฐ์๋๋ ์ ๋งฅ ํ์ ์์ ์ฆ์ ์์์ ์ผ๋ก ์ค์ํ๋ฉด์๋ ์๋ฐฉ ๊ฐ๋ฅํ ํฉ๋ณ์ฆ์ผ๋ก ์๋ ค์ ธ ์๋ค. ์์์์๋ ์ผ๋ฐ ์์ ์ ๊ฒฝ์ฐ ํ์ง ์ฌ๋ถ ์ ๋งฅํ์ ์ฆ ๋ฐ์๋ฅ ์ด 20%์ ๋์ด๋ฉฐ ๋์ฅ์ ์ ์ ์ ๊ฒฝ์ฐ๋ 30% ์ ๋๋ก ์๋ ค์ ธ ์๋ค.(1)๋ฐ๋ฉด, ๋์์ธ๋ค์ ๋์์ผ๋ก ํ ์ฐ๊ตฌ๋ค์์ ์์ ํ ์์์ ์ผ๋ก ์ง๋จ๋ ํ์ง ์ฌ๋ถ ์ ๋งฅํ์ ์ฆ์ 0.27%์ ํ์์์ ๋ฐ์ํ์๊ณ , ํ๋๋งฅ ์์ ์ฆ์ 0.8% ์ด๋ด๋ก ์์์ ๋นํด ๋ฎ๊ฒ ๋ณด๊ณ ๋์๋ค.(2-5) ํนํ, ๋์ฅ์ ์์ ์ด ๋ค๋ฅธ ์ผ๋ฐ ๊ฐ๋ณต ์์ ์ ๋นํด์ ์ ๋งฅ ํ์ ์์ ์ฆ ๋ฐ์์ด ๋ง์ ๊ฒ์ผ๋ก ๋ณด๊ณ ๋๊ณ ์๊ณ , ํ๋๋งฅ ์์ ์ฆ์ ๋น๋ ๋ํ ๋๋ค๊ณ ์๋ ค์ ธ ์๋ค.(6)์์์์์ ๋์ฅ์ ์์ ํ์ ์์์ ์ผ๋ก ์ง๋จ๋ ํ์ง ์ฌ๋ถ
์ ๋งฅํ์ ์ฆ์ ๋น๋๋ 4.7%, ๊ทธ๋ฆฌ๊ณ ํ๋๋งฅ ์์ ์ฆ์ 1.7โผ3.8%๋ก ๋ณด๊ณ ๋์์ผ๋ฉฐ,(7,8) ์์์์๋ ์์ ํ ํ์ง ์ฌ๋ถ์ ๋งฅํ์ ์ฆ์ด 3.1โผ51.7%์ ์ด๋ฅธ๋ค๋ ๋ณด๊ณ ๊ฐ ์๋ค.(9-11)์์ง๊น์ง ๊ตญ๋ด์์๋ ๋์ฅ์ ์ ์ ํ์ ์ ๋งฅ ํ์ ์์ ์ฆ์ ๋ฐ์๋ฅ ์ ๋ํ ์ฐ๊ตฌ๊ฐ ๊ฑฐ์ ์์์ผ๋ฉฐ, ์ ๋ถ์๋ ํคํ๋ฆฐ(low molecular weight heparin)์ ๋์ฅ์ ์ ์ ์ ์ํํ๋ ๋ชจ๋ ํ์์์ ํฌ์ฌํ๋ ๊ฒ์ ๋ํ ์๊ฒฌ๋ ์ ๋ฆฝ๋์ง ์์ ์ํ์ด๋ค. ๋ณธ ์ฐ๊ตฌ์์๋ ๋์ฅ์์ผ๋ก ๋์ฅ์ ์ ์ ์ ์ํํ ํ์๋ค์ ๋์์ผ๋ก ์์ ์ ์๋ฐ์คํํน(graduated compression stocking)๋ง ์ฌ์ฉํ ๊ตฐ๊ณผ ์๋ฐ์คํํน๊ณผ ์ ๋ถ์๋ ํคํ๋ฆฐ์ ๊ฐ์ด ์ฌ์ฉํ ๊ตฐ์ผ๋ก ๋๋์ด์ ์ ๋งฅ ํ์ ์์ ์ฆ์ ๋ฐ์ ๋น๋์ ์ ๋ถ์๋ ํคํ๋ฆฐ์ ํจ์ฉ์ฑ ๋ฐ ์ถํ ์ํ์ ๋ํด์ ๋น๊ตํด ๋ณด์๋ค.Cheung HYS, 2008, ASIAN J SURG, V31, P63Beekman R, 2006, CAN J SURG, V49, P197Bauduer F, 2005, MOL GENET METAB, V86, P91, DOI 10.1016/j.ymgme.2005.04.002Almawi W, 2005, J THROMB THROMBOLYS, V19, P189, DOI 10.1007/s11239-005-1313-xCheuk BLY, 2004, BRIT J SURG, V91, P424, DOI 10.1002/bjs.4454Otten HMMB, 2004, ARCH INTERN MED, V164, P190Kim YH, 2003, J BONE JOINT SURG BR, V85B, P661, DOI 10.1302/0301-620X.85B5.14012ANDERSON FA, 2003, CIRCULATION, V107, P19WILLEJORGENSEN P, 2003, COCHRANE DB SYST REV, DOI DOI 10.1002/14651858.CD001217CHUNG CC, 2003, COLORECTAL DIS, V5, P528GREENE FL, 2002, AJCC CANC STAGING MALee FY, 2001, ANZ J SURG, V71, P637McLeod RS, 2001, ANN SURG, V233, P438Marshall NJ, 2000, AUST NZ J SURG, V70, P6392000, DIS COLON RECTUM, V43, P1037Ho YH, 1999, DIS COLON RECTUM, V42, P196Schwenk W, 1998, SURG ENDOSC-ULTRAS, V12, P7Yoo MC, 1997, INT ORTHOP, V21, P399HO YH, 1996, DEEP VENOUS THROMBOS, P38REES DC, 1995, LANCET, V346, P1133IDO K, 1995, SURG ENDOSC-ULTRAS, V9, P310GREM JL, 1994, J CLIN ONCOL, V12, P560KUM CK, 1993, ANN ACAD MED SINGAP, V22, P895HUBER O, 1992, ARCH SURG-CHICAGO, V127, P310KIM YH, 1988, J BONE JOINT SURG AM, V70A, P878TORNGREN S, 1982, DIS COLON RECTUM, V25, P563TSAKOK FH, 1974, ANN AC AD MED SINGAP, V3, P399HWANG WS, 1968, SINGAPORE MED J, V9, P276TINCKLER LF, 1964, BRIT MED J, V1, P502
์๋น์์ ๊ฐ๊ฒฉ๋ฐ์์ฑ์ ๊ณ ๋ คํ ํผํฌ์๊ธ์ ํ๋ผ๋ฏธํฐ ์ค๊ณ
ํ์๋
ผ๋ฌธ (๋ฐ์ฌ)-- ์์ธ๋ํ๊ต ๋ํ์ : ์ ๊ธฐยท์ปดํจํฐ๊ณตํ๋ถ, 2016. 2. ์ค์ฉํ.Recent introduction of deregulation in the power industries offers electricity retailers the chance to make profit through electricity retail business. Accordingly, the retailers need to establish proper strategies for designing and implementing their pricing schemes to grab the chance. Many other pricing schemes can be used for the purposes, however, critical peak pricing (CPP) is chosen in this thesis as a tool for the profit maximization for the following reasons. One, to our knowledge, it is less highlighted compared to other retail pricing schemes despite of its advantages. The other, it contains several designable components for the retailer perspective, for example, base and peak rates, number of events, and event duration.
In terms of the profit maximization, this thesis aims at presenting several analyses and intuitive guides for designing CPP scheme based on the price responsiveness of customers. The guides and designs include selection of the CPP parameters such as peak rate, number of events, and event duration. To achieve the goals, we first investigated how these parameters affect profit of the retailers. In this process, simple price-response model is adopted for the analyses. The results of the analyses allow us to provide the following three important guidelines. First, the optimal peak rate is approximately inversely proportional to price responsiveness of customers. Second, the optimal peak rate does not change a lot as the number of events varies. Third, the optimal peak rate for single critical event case can be safely used even in case of the multi-events situations in terms of the profit. Fourth, we can ensure existence of a minimum number of events not to lose profit compared the uniform pricing or real-time pricing schemes. Finally, it is a reasonable choice to set event duration as an hour and number of the events as equal time period to total events hour, instead of evaluating each combination of two variables. They are verified by the illustrative examples.
In addition to examining the profit maximization of the retailers, we also explored the benefits that a CPP scheme would afford customers. The results showed that CPP could be advantageous to both customers and the retailer if the customers were sufficiently responsive to price fluctuations. It should be emphasized that such a win-win situation may be only achieved if the CPP scheme is properly designedthis, in turn, requires an analysis of the effects of the CPP parameters on profit and a methodology for selecting appropriate parameter values, which were presented in this thesis.
On the other hands, we pointed out that CPP is not free from the payback phenomenon: a rise in consumption after a critical event, like other time-varying retail pricing schemes. Also, we showed that this payback has a negative effect on profits and thus must be appropriately considered when designing a CPP scheme by the illustrative example which proves that CPP scheme which is designed without considering payback may not be an optimal anymore if the payback takes place. However, few studies have examined CPP scheme design considering payback. This thesis thus characterizes payback using three parameters (duration, amount, and pattern) and examines payback effects on the optimal schedule of critical events and on the optimal peak rate for two specific payback patterns. All the analysis is verified through numerical simulations. The results demonstrate the need to properly consider payback parameters when designing a profit-maximizing CPP scheme.Chapter 1. Introduction 1
1.1 MOTIVATIONS AND PURPOSES 1
1.2 LITERATURE SURVEY AND CONTRIBUTIONS 6
1.3 THESIS ORGANIZATION 9
Chapter 2. Backgrounds 10
2.1 STRUCTURE OF THE ELECTRICITY WHOLESALE MARKET AND RETAIL SECTOR 10
2.1.1 ENTITIES IN THE ELECTRICITY RETAIL SECTOR 10
2.1.2 ASSUMPTIONS ON ELECTRICITY MARKET 12
2.2 CRITICAL EVENTS SCHEDULING PROBLEM OF THE LSE 14
2.3 PRICE RESPONSIVENESS MODEL OF THE CUSTOMERS 17
Chapter 3. Profit-Maximizing CPP Scheme considering Customers Price-Responsiveness 20
3.1 PROFIT INDEX 20
3.2 SELECTION OF THE OPTIMAL PEAK RATE 22
3.2.1 ANALYSIS FOR SIMPLIFIED CASE 22
3.2.2 EXPANSION FOR GENERALIZED CASE 23
3.3 SELECTION OF THE NUMBER OF EVENTS 27
3.3.1 DETERMINING MINIMUM NUMBER OF THE EVENTS 27
3.3.2 ANALYSIS ON MINIMUM NUMBER OF THE EVENTS 31
3.3.3 REMARK ON MAXIMUM NUMBER OF THE EVENTS 32
3.4 SELECTION OF THE EVENTS DURATION 33
Chapter 4. Payback Effects on CPP Implementation 35
4.1 CHARACTERIZING PAYBACK PHENOMENON 35
4.1.1 PAYBACK RATIO 36
4.1.2 PAYBACK FUNCTION 37
4.2 PAYBACK EFFECTS ON CPP DESIGN 40
4.2.1 PAYBACK EFFECTS ON EVENT SCHEDULING PROBLEM 40
4.2.2 PAYBACK EFFECTS ON OPTIMAL PEAK RATE 42
Chapter 5. Illustrative Examples 48
5.1 DESIGNING PROFIT-MAXIMIZING CPP SCHEME 48
5.1.1 CONFIGURATIONS 48
5.1.2 EVENTS SCHEDULING PROBLEM AND PROFIT INDEX 50
5.1.3 OPTIMAL PEAK RATE 51
5.1.4 NUMBER OF THE EVENTS 55
5.1.5 EVENT DURATION 59
5.1.6 DISCUSSION ON THE BENEFIT OF CUSTOMERS 61
5.2 RESULTS IN PAYBACK PHENOMENON 63
5.2.1 CONFIGURATIONS 63
5.2.2 PAYBACK EFFECTS ON THE OPTIMAL EVENT SCHEDULE 64
5.2.3 PAYBACK EFFECTS ON THE OPTIMAL PEAK RATE 65
Chapter 6. Conclusions and Future Works 70
6.1 CONCLUSIONS 70
6.2 FUTURE WORKS 72
Appendix 74
A. NOVEL ALGORITHM FOR EVENTS SCHEDULING PROBLEM 74
B. NOMENCLATURE 76
B.1 VARIABLES 76
B.2 LIST OF ABBREVIATIONS 79
BIBLIOGRPHY 81
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ผ๋ฌธ ์ด๋ก 89Docto
์์ฑ๊ณผ ์ฌ๋ถ์์๋ฃ์ ๋ฌผ์์ง ์๋ฃ๋ฅผ ํ์ฉํ ์์ฆ๊ธฐ ์์ก๊ณผ ๊ด๋ จ๋ ์ด๋ ์ํ ๊ฒฝํฅ ์ฐ๊ตฌ
Thesis(doctor`s)--์์ธ๋ํ๊ต ๋ํ์ :์ง๊ตฌํ๊ฒฝ๊ณผํ๋ถ,2007.Docto
Study on home energy management system for optimizing consumer's energy cost under various tariff
ํ์๋
ผ๋ฌธ (์์ฌ)-- ์์ธ๋ํ๊ต ๋ํ์ : ์ ๊ธฐ. ์ปดํจํฐ๊ณตํ๋ถ, 2011.2. ์ค์ฉํ.Maste
N1 ์ด์ค๋ ฅ-๋ฌผ์ง ์ํธ์์ฉ ๊ณ์ ๋ํ ๊ฒ์ด์ง ๋์นญ ๋ผ๊ทธ๋์ง์ ๊พธ๋ฐ
Thesis (master`s)--์์ธ๋ํ๊ต ๋ํ์ :๋ฌผ๋ฆฌํ๊ณผ,1998.Maste