• Title/Summary/Keyword: 불완전도

Search Result 1,460, Processing Time 0.023 seconds

Externality Cost of Capital Investment in Limited Commitment (불완전한 금융계약하에서의 자본투자의 외부성에 관한 연구)

  • Chien, Yili;Lee, Junsang
    • KDI Journal of Economic Policy
    • /
    • v.34 no.2
    • /
    • pp.17-40
    • /
    • 2012
  • We study externality costs of capital investment under limited commitment. We solve for the constrained efficient allocation with a limited commitment environment and find positive externality costs of capital investment provided that full-risk-sharing is not feasible. In a decentralized version of limited commitment environment, a one unit increase of capital investment by an agent increases all individuals' autarky values in the economy and generates externality costs in the economy. This externality cost provides a rationale for positive capital taxation even in the absence of government expenditure. In order to internalize this costs, the government use a positive rate of linear capital tax in the decentralized economy.

  • PDF

Capacity of synchronous DS-CDMA system on frequency selective multipath fading channels with imperfect power control (주파수 선택적 다중 경로 페이딩 채널에서 불완전 전력 제어를 고려한 동기식 DS-CDMA 시스템의 수용 용량)

  • 황승훈;김용석;김동희;황금찬
    • The Journal of Korean Institute of Communications and Information Sciences
    • /
    • v.25 no.3A
    • /
    • pp.342-350
    • /
    • 2000
  • In this paper, the bit error performance for the reverse link of a synchronous direct sequence code division multiple access (DS-CDMA) system employing an imperfect power control scheme over a frequency selective Rayleigh fading channel is analyzed. The system capacity degradation due to power control error (PCE), which is approximated by a log-normally distributed random variable, is estimate as a function of a standard deviation of the PCE. In addition, the impact of the multipath intensity profile (MIP) shape and the number of resolvable paths on the performance of the synchronous transmission is investigated. To estimate the system capacity, the coded bit error performance is evaluated and compared with the conventional CDMA. It is found tat synchronous transmission has less sensitivity to imperfect power control and eases the power control requirements. In particular, as the decay constant $\delta$ of MIP increases, the synchronous transmission in the DS-CDMA reverse link results in a significant BER improvement over the asynchronous transmission even in the presence of imperfect power control. We further conclude that the capacity can be improved by employing the synchronous transmission.

  • PDF

Market Created Risk and the Formation of Stock Price (시장조성위험(市場造成危險)과 주식가격(株式價格)의 형성(形成))

  • Jaang, Dae-Hong
    • The Korean Journal of Financial Management
    • /
    • v.8 no.1
    • /
    • pp.123-137
    • /
    • 1991
  • This paper developes a multiperiod trading model of securities price formation which extends the notion of market created risk introduced by Kraus and Smith [1989]. It is shown that stock price volalitility can depend on combinations of market parameters known to the market participants only imperfectly. Resulting portfolio rebalancing equilibria generate self-justifying price movements while market fundamental remain unchanged.

  • PDF

Beamforming Games with Quantized CSI in Two-user MISO ICs (두 유저 MISO 간섭 채널에서 불완전한 채널 정보에 기반한 빔포밍 게임)

  • Lee, Jung Hoon;Lee, Jin;Ryu, Jong Yeol
    • Journal of the Korea Institute of Information and Communication Engineering
    • /
    • v.21 no.7
    • /
    • pp.1299-1305
    • /
    • 2017
  • In this paper, we consider a beamforming game between the transmitters in a two-user multiple-input single-output interference channel using limited feedback and investigate how each transmitter is able to find a modified strategy from the quantized channel state information (CSI). In the beamforming game, each of the transmitters (i.e., a player) tries to maximize the achievable rate (i.e., a payoff function) via a proper beamforming strategy. In our case, each transmitter's beamforming strategy is represented by a linear combining factor between the maximum ratio transmission (MRT) and the zero forcing (ZF) beamforming vectors, which is the Pareto optimal achieving strategy. With the quantized CSI, the transmitters' strategies may not be valid because of the quantization errors. We propose a modified solution, which takes into account the effects of the quantization errors.

A Study on Acceleration of Transient Brake Section and Skidding Section (불완전 제동구간과 활주구간의 감속도 변화에 대한 연구)

  • Kim, Kil Bae;Jung, Woo Teak;Ryu, Tae Sun;Oh, Young Tae
    • Journal of Korean Society of Transportation
    • /
    • v.30 no.5
    • /
    • pp.83-90
    • /
    • 2012
  • Driver ordinarily takes sudden braking when urgent situation is developed or when the vehicle is involved in an unexpected accident. Therefore, the most common trace at a traffic accident scene is skid mark. Currently, in investigating traffic accident, overspeed is determined by the length of skid mark. However, in order to identify accurate cause of accident, estimation of pre-braking speed which takes into account speed reduction during transient time should be considered as a requirement. In a recent study, several ways to estimate pre-braking speed were suggested, but none considered to differentiate the decelerating transient brake section and skidding section. This study analyzed trends of decelerating transient brake section and skidding section by real braking test.

Online Learning of Bayesian Network Parameters for Incomplete Data of Real World (현실 세계의 불완전한 데이타를 위한 베이지안 네트워크 파라메터의 온라인 학습)

  • Lim, Sung-Soo;Cho, Sung-Bae
    • Journal of KIISE:Computer Systems and Theory
    • /
    • v.33 no.12
    • /
    • pp.885-893
    • /
    • 2006
  • The Bayesian network(BN) has emerged in recent years as a powerful technique for handling uncertainty iii complex domains. Parameter learning of BN to find the most proper network from given data set has been investigated to decrease the time and effort for designing BN. Off-line learning needs much time and effort to gather the enough data and since there are uncertainties in real world, it is hard to get the complete data. In this paper, we propose an online learning method of Bayesian network parameters from incomplete data. It provides higher flexibility through learning from incomplete data and higher adaptability on environments through online learning. The results of comparison with Voting EM algorithm proposed by Cohen at el. confirm that the proposed method has the same performance in complete data set and higher performance in incomplete data set, comparing with Voting EM algorithm.

Rank transformation analysis for 4 $\times$ 4 balanced incomplete block design (4 $\times$ 4 균형불완전블럭모형의 순위변환분석)

  • Choi, Young-Hun
    • Journal of the Korean Data and Information Science Society
    • /
    • v.21 no.2
    • /
    • pp.231-240
    • /
    • 2010
  • If only fixed effects exist in a 4 $\times$ 4 balanced incomplete block design, powers of FR statistic for testing a main effect show the highest level with a few replications. Under the exponential and double exponential distributions, FR statistic shows relatively high powers with big differences as compared with the F statistic. Further in a traditional balanced incomplete block design, powers of FR statistic having a fixed main effect and a random block effect show superior preference for all situations without regard to the effect size of a main effect, the parameter size and the type of population distributions of a block effect. Powers of FR statistic increase in a high speed as replications increase. Overall power preference of FR statistic for testing a main effect is caused by unique characteristic of a balanced incomplete block design having one main and block effect with missing observations, which sensitively responds to small increase of main effect and sample size.

Algorithms for Handling Incomplete Data in SVM and Deep Learning (SVM과 딥러닝에서 불완전한 데이터를 처리하기 위한 알고리즘)

  • Lee, Jong-Chan
    • Journal of the Korea Convergence Society
    • /
    • v.11 no.3
    • /
    • pp.1-7
    • /
    • 2020
  • This paper introduces two different techniques for dealing with incomplete data and algorithms for learning this data. The first method is to process the incomplete data by assigning the missing value with equal probability that the missing variable can have, and learn this data with the SVM. This technique ensures that the higher the frequency of missing for any variable, the higher the entropy so that it is not selected in the decision tree. This method is characterized by ignoring all remaining information in the missing variable and assigning a new value. On the other hand, the new method is to calculate the entropy probability from the remaining information except the missing value and use it as an estimate of the missing variable. In other words, using a lot of information that is not lost from incomplete learning data to recover some missing information and learn using deep learning. These two methods measure performance by selecting one variable in turn from the training data and iteratively comparing the results of different measurements with varying proportions of data lost in the variable.

An Analysis on Static Level and Dynamic Trend of Imperfect Competitiveness in Grain Trade Market (곡물 교역시장의 불완전 경쟁상태의 정태적 수준 및 동태적 변화에 대한 분석)

  • Kwon, Dae-Heum
    • Journal of the Korea Academia-Industrial cooperation Society
    • /
    • v.16 no.11
    • /
    • pp.7788-7793
    • /
    • 2015
  • Both export and import sides of grain trade market are analyzed and compared in terms of the static levels and dynamic trends to make new empirical inference on the imperfect competition degree. Export concentration level is high compared to import concentration level. And such states have been sustained since 2001 until 2014. Unlike public concerns, the concentration level of export side seems to be easing by small degree. However, the grain trade market remains imperfect competitive market. Furthermore, overall imperfective competition condition over 2002-2014 has been worsened compared to 2001 level. It is because the reduction level of imports concentration is higher than that of the export concentration. Gini and Atkinson Inequality Index based on Lorenz Curve are newly utilized to analyze market concentration level, instead of the commonly used concentration ratio.

Concurrency Control of RFID Tag Operations for Consistent Tag Memory Accesses (RFID 태그 메모리 접근의 일관성을 위한 태그 연산의 동시성 제어)

  • Ryu, Woo-Seok;Hong, Bong-Hee
    • Journal of KIISE:Databases
    • /
    • v.37 no.3
    • /
    • pp.171-175
    • /
    • 2010
  • This paper analyzes the tag data inconsistency problem caused by incomplete execution of the tag access operation to the RFID tag's memory and proposes a protocol to control consistent tag data accesses with finalizing the incomplete operation. Passive RFID tag cannot guarantee complete execution of the tag access operations because of uncertainty and unexpected disconnection of RF communications. This leads to the tag data inconsistency problem. To handle this, we propose a concurrency control protocol which defines incomplete tag operations as continuous queries and monitors the tags're-observation continuously. The protocol finalizes the incomplete operation when the tag is re-observed while it blocks inconsistent data accesses from other operations. We justify the proposed protocol by analyzing the completeness and consistency. The experiments show that the protocol shows better performance than the traditional lock-based concurrency control protocol.