• Title/Summary/Keyword: cross-over model

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On Rate-adaptive LDPC-based Cross-layer SVC over Bursty Wireless Channels

  • Cho, Yongju;Cha, Jihun;Radha, Hayder;Seo, Kwang-Deok
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.6 no.9
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    • pp.2266-2284
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    • 2012
  • Recent studies have indicated that a significant improvement in wireless video throughput can be achieved by Cross Layer Design with Side-information (CLDS) protocols. In this paper, we derive the operational rate of a CLDS protocol operating over a realistic wireless channel. Then, a Rate-Distortion (R-D) empirical model for above-capacity Scalable Video Coding (SVC) is deduced to estimate the loss of video quality incurred under inaccurate rate estimation scenarios. Finally, we develop a novel Unequal Error Protection (UEP) scheme which leverages the characteristics of LDPC codes to reduce the distortion of video quality in case of typically-observed burst wireless errors. The efficacy of the proposed rate adaptation architecture over conventional protocols is demonstrated by realistic video simulations using actual IEEE 802.11b wireless traces.

Examining Customers' Intention of Continued Use and Cross-Buying on Internet-Only Banks

  • Annie Tsui;Kyung Young Lee;Paola Gonzalez;Bo Yu
    • Asia pacific journal of information systems
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    • v.34 no.1
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    • pp.114-149
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    • 2024
  • Internet-only banks (IOB) refer to financial institutions which provide services entirely through online digital platforms without physical branches. Although IOBs have been around for over 26 years, there is still room for investigating what factors motivate customers to use them continuously and extensively. Therefore, this study aims to examine what factors lead to customers' intention of continued use and cross-buying on IOBs by extending the Post-Acceptance Model of IS Continuance (PAMISC). The result shows that perceived economic benefit and ongoing trust have significant relationships with the intention of continued use and that ongoing trust has significant direct and mediating (via intention of continued use) relationships with the intention of cross-buying. Also, personal innovativeness positively moderates the relationship between ongoing trust and the intention of cross-buying. This study sheds light on the literature on branchless financial services and PAMISC. IOB practitioners should revisit the effectiveness of customers' economic benefits to establish ongoing trust with customers.

Business Cycle Consumption Risk and the Cross-Section of Stock Returns in Korea (경기순환주기 소비위험과 한국 주식 수익률 횡단면)

  • Kang, Hankil
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.44 no.4
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    • pp.98-105
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    • 2021
  • Using the frequency-based decomposition, I decompose the consumption growth to explain well-known patterns of stock returns in the Korean market. To be more specific, the consumption growth is decomposed by its half-life of shocks. The component over four years of half-life is called the business-cycle consumption component, and the components with half-lives under four years are short-run components. I compute the long-run and short-run components of stock excess returns as well and use component-by-component sensitivities to price stock portfolios. As a result, the business-cycle consumption risk with half-life of over four years is useful in explaining the cross-section of size-book-to-market portfolios and size-momentum portfolios in the Korean stock market. The short-run components have their own pricing abilities with mixed direction, so that the restricted one short-term factor model is rejected. The explanatory power with short- and long-run components is comparable to that of the Fama-French three-factor model. The components with one- to four-year half-lives are also helpful in explaining the returns. The results about the long-run components emphasize the importance of long-run component in consumption growth to explain the asset returns.

Strengthening the Competitiveness, Productivity and Innovation of Cross-border Industrial Corridors

  • Charles Conteh;JiYoung Park;Kathryn Friedman;Ha Hwang;Barry Wright
    • Asian Journal of Innovation and Policy
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    • v.12 no.1
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    • pp.75-100
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    • 2023
  • Over the past few decades, globalization has been shifting economic power upward to transnational actors on the one hand, and downward to subnational or regional spaces on the other. This phenomenon has resulted in the centrality of territorially delimited subnational regions acting as critical loci of economic governance within a complex and globally distributed value chain of trade and service flows. Within this broader context of industrial restructuring are economic regions that span national borders in their collective assets. The paper focuses on investigating the economic competitiveness and productivity of cross-border (or binational) economic regions. Using the conceptual framework of economic clusters, an econometric model that measures proxies of geographic proximity of firms in the life sciences cluster, and a new binational economic model, the paper examines the key characteristics, potentials and constraints of economic competitiveness and productivity in a cross-border region comprising counties in Western New York and regional municipalities in Southern Ontario. The findings demonstrate the direct and indirect benefits of closer cross-border economic cooperation. The paper then concludes with some policy observations about leveraging cross-border economic clusters for strategic industrial cooperation.

Performance Characteristics of Direct Methanol Fuel Cell with Methanol Concentration (메탄올 농도에 따른 직접 메탄올 연료전지의 성능 해석)

  • Cho, Chang-Hwan;Kim, Yong-Chan;Chang, Young-Soo
    • Korean Journal of Air-Conditioning and Refrigeration Engineering
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    • v.20 no.3
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    • pp.197-204
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    • 2008
  • DMFC(Direct Methanol Fuel Cell) is one of promising candidates for power sources of small mobile IT devices like notebook, cell phone, and so on. Efficient operation of fuel cell system is very important for long-sustained power supply because of limited fuel tank size. It is necessary to investigate operation characteristics of fuel cell stack for optimal control of DMFC system. The generated voltage was modeled according to various operating condition; methanol concentration, stack temperature, and load current. It is inevitable for methanol solution at anode to cross over to cathode through MEA(membrane electrode assembly), which reduces the system efficiency and increases fuel consumption. In this study, optimal operation conditions are proposed by analyzing stack performance model, cross-over phenomenon, and system efficiency.

A Development of Cross-Sell Scoring Model (교차판매(CROSS-SELL) 스코어링 모형 개발)

  • 한상태;강현철;이성건;정요천
    • The Korean Journal of Applied Statistics
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    • v.17 no.2
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    • pp.229-238
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    • 2004
  • Cross-sell models are used to predict the probability or value of a current customer buying a different product or service from the same company. Selling to current customers is one of the easiest way to increase profits and allows companies to carefully manage offers to avoid over-soliciting and possibly alienating their customers. In this study, by using the real database of an insurance company in Korea, we try to explain the steps of actual data mining process. Especially, this study aims to develop cross-sell models to predict the probability which a current customer of automobile insurance buys long-term insurance product.

The Application of the Theory of Planned Behavior to Transnational Consumption Behaviors: Focused on Cross-Border Online Shopping (합리적 행동이론을 적용한 초국가적 소비행동에 관한 연구: 해외직구를 중심으로)

  • Seo, Min Jeong;Jeong, Yu-Jin
    • Human Ecology Research
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    • v.56 no.2
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    • pp.109-122
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    • 2018
  • Cross-border online shopping is an example of non-mobile transnational consumption behavior that has become more popular over the last decade due to the development of technology and transportation. Based on the Theory of Reasoned Action(TRA), this study proposed and tested the hypothesized model that would explain the relationships among consumption beliefs, attitudes toward cross-border online shopping, subjective norms, and purchase intention. Consumption beliefs were measured by global consumption orientation, consumer orientation, and global brand beliefs. In addition, subjective norms included two types: online and offline norms. Descriptive statistics and path analysis were employed for the analysis of the dataset of 174 participants. As a result, the hypothesized model was generally supported. Consistent with the hypothesis, global consumption orientation and global brand beliefs were positively related to positive attitudes toward cross-border online shopping but negatively associated with consumer ethnocentrism. Offline subjective norms positively predicted both the attitudes and purchase intention whereas online subjective norms only predicted purchase intention. The results reflected that TRA was applicable to the intention of cross-border online shopping in a current on-line shopping context. We also discussed the practical applications and limitations of the study.

Performance Analysis of Bitcoin Investment Strategy using Deep Learning (딥러닝을 이용한 비트코인 투자전략의 성과 분석)

  • Kim, Sun Woong
    • Journal of the Korea Convergence Society
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    • v.12 no.4
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    • pp.249-258
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    • 2021
  • Bitcoin prices have been soaring recently as investors flock to cryptocurrency exchanges. The purpose of this study is to predict the Bitcoin price using a deep learning model and analyze whether Bitcoin is profitable through investment strategy. LSTM is utilized as Bitcoin prediction model with nonlinearity and long-term memory and the profitability of MA cross-over strategy with predicted prices as input variables is analyzed. Investment performance of Bitcoin strategy using LSTM forecast prices from 2013 to 2021 showed return improvement of 5.5% and 46% more than market price MA cross-over strategy and benchmark Buy & Hold strategy, respectively. The results of this study, which expanded to recent data, supported the inefficiency of the cryptocurrency market, as did previous studies, and showed the feasibility of using the deep learning model for Bitcoin investors. In future research, it is necessary to develop optimal prediction models and improve the profitability of Bitcoin investment strategies through performance comparison of various deep learning models.

Numerical study of compression waves passing through two-continuous ducts (두 연속 덕트를 전파하는 압축파의 수치해석적 연구)

  • Kim, Hui-Dong;Heo, Nam-Geon
    • Transactions of the Korean Society of Mechanical Engineers B
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    • v.22 no.6
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    • pp.823-831
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    • 1998
  • In order to investigate the impulsive noise at the exit of high-speed railway tunnel and the pressure transients inside the tunnel, numerical calculations using a Total Variation Dimishing difference scheme were applied to axisymmetric unsteady compressible flow field. Some compression wave forms were assumed to model the compression wave produced in real high-speed railway tunnel. The numerical data were extensively explored to analyze the peak over-pressure and maximum pressure gradient in the pressure wavefront. The effect of the distance and cross-sectional area ratio between two-continuous ducts on the characteristics of the pressure waves were investigated. The peak over-pressure inside the second duct decreases for the distance and cross-sectional area ratio between two tunnels to increase. The peak over-pressure and maximum pressure gradient of the pressure wavefront inside the second duct increase as the maximum pressure gradient of initial compression wave increases. The present results were qualitatively well agreed with the results of the previous shock tube experiment.

A Longitudinal Study on Adolescent's Community Consciousness and Life Satisfaction using Autoregressive Cross-lagged Model

  • Kim, Hyun-Joo;Park, Hyun-Sun;Park, Hwie-Seo
    • Journal of the Korea Society of Computer and Information
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    • v.24 no.6
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    • pp.175-182
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    • 2019
  • This study aims to identify causal variables by examining the mutual influences of community consciousness and life satisfaction. We used some data of KCYPS. A longitudinal study of 1952 adolescents selected as a sample was conducted using the Aautoregressive crossover delay model. The results of this study are as follows: First, it showed that life satisfaction is consistently affecting the later life satisfaction with the passage of time. Second, community consciousness showed that the previous community consciousness has a constant influence on the subsequent community consciousness as time passes. Third, the effect of previous life satisfaction on community consciousness was significant. Therefore, the cross-delay effect of life satisfaction on community awareness was stable with time. In other words, life satisfaction level was a causal variable that takes precedence over community consciousness, and the higher the life satisfaction of the previous time, the higher the level of community consciousness in the future. Fourth, the cross-delay effect of community consciousness on life satisfaction was not significant because community consciousness at previous time had no meaningful effect on life satisfaction at later time, so consciousness of community at previous time affects life satisfaction. This study provided some implications basing on this results.