This study used an eye-tracking methodology to investigate consumers＇ gazing behavior by focusing on how assessment design influences gazing behavior and decision time. Only one factor of test design was investigated...This study used an eye-tracking methodology to investigate consumers＇ gazing behavior by focusing on how assessment design influences gazing behavior and decision time. Only one factor of test design was investigated and each test contained three images. Eight participants were recruited. This study answered three questions： （1） Does the color of food influence gazing behavior？ （2） Does the color of food influence decision-making？ （3） Is gazing behavior related to decision-making behavior？ The results demonstrated that gazing behavior and decision time have a positive relationship with the image selected. Future research should consider the relationships between eye movements, cognitive goals, and tasks展开更多
The problem of underdetermined blind source separation of adjacent satellite interference is proposed in this paper. Density Clustering algorithm(DC-algorithm) presented in this article is different from traditional m...The problem of underdetermined blind source separation of adjacent satellite interference is proposed in this paper. Density Clustering algorithm(DC-algorithm) presented in this article is different from traditional methods. Sparseness representation has been applied in underdetermined blind signal source separation. However, some difficulties have not been considered, such as the number of sources is unknown or the mixed matrix is ill-conditioned. In order to find out the number of the mixed signals, Short Time Fourier Transform(STFT) is employed to segment received mixtures. Then, we formulate the blind source signal as cluster problem. Furthermore, we construct Cost Function Pair and Decision Coordinate System by using density clustering. At the end of this paper, we discuss the performance of the proposed method and verify the novel method based on several simulations. We verify the proposed method on numerical experiments with real signal transmission, which demonstrates the validity of the proposed method.展开更多
This paper deals with the continuous time Markov decision programming (briefly CTMDP) withunbounded reward rate.The economic criterion is the long-run average reward. To the models withcountable state space,and compac...This paper deals with the continuous time Markov decision programming (briefly CTMDP) withunbounded reward rate.The economic criterion is the long-run average reward. To the models withcountable state space,and compact metric action sets,we present a set of sufficient conditions to ensurethe existence of the stationary optimal policies.展开更多
In this paper we discuss the discrete, time non--homogeneous discounted Markovian decisionprogramming, where the state space and all action sets are countable. Suppose that the optimumvalue function is finite. We give...In this paper we discuss the discrete, time non--homogeneous discounted Markovian decisionprogramming, where the state space and all action sets are countable. Suppose that the optimumvalue function is finite. We give the necessary and sufficient conditions for the existence of anoptimal policy. Suppose that the absolute mean of rewards is relatively bounded. We also give thenecessary and sufficient conditions for the existence of an optimal policy.展开更多
Corporations need to improve business processes in order to enhance velocity and service levels while reducing their processing costs and differentiating themselves in the face of competition. The levitation of import...Corporations need to improve business processes in order to enhance velocity and service levels while reducing their processing costs and differentiating themselves in the face of competition. The levitation of importance beyond support roles has raised IT investment decisions to high priority in chief executive officers＇ agendas. Corporate planning groups as well as lines of business are increasingly applying techniques of IT applications portfolio management in a more systematic fashion to improve decision-making and resource-allocation processes. Recent advances in software engineering and IT service delivery methodologies have achieved the logical separation of business functions from implementation. This separation has made a new breed of innovative IT project possible with a new project risk structure; the adjustment of portfolio management techniques is appropriate. We present an integrated portfolio management model so that the corporation can focus on organic growth through sources at both the department and top management levels. The research gives clear advice as to how top management can seek economic growth by selecting an entrepreneurial strategic posture, implying a strong risk-taking propensity. By integrating a risk-return model and risk-tolerance paradigm to cope with today＇s risk structure, overall capabilities can improve the decision process and the corporation＇s performance as well. The application of the integrated technique to a Japanese manufacturing firm is described.展开更多
文摘This study used an eye-tracking methodology to investigate consumers＇ gazing behavior by focusing on how assessment design influences gazing behavior and decision time. Only one factor of test design was investigated and each test contained three images. Eight participants were recruited. This study answered three questions： （1） Does the color of food influence gazing behavior？ （2） Does the color of food influence decision-making？ （3） Is gazing behavior related to decision-making behavior？ The results demonstrated that gazing behavior and decision time have a positive relationship with the image selected. Future research should consider the relationships between eye movements, cognitive goals, and tasks
基金supported by a grant from the national High Technology Research and development Program of China (863 Program) (No.2012AA01A502)National Natural Science Foundation of China (No.61179006)Science and Technology Support Program of Sichuan Province(No.2014GZX0004)
文摘The problem of underdetermined blind source separation of adjacent satellite interference is proposed in this paper. Density Clustering algorithm(DC-algorithm) presented in this article is different from traditional methods. Sparseness representation has been applied in underdetermined blind signal source separation. However, some difficulties have not been considered, such as the number of sources is unknown or the mixed matrix is ill-conditioned. In order to find out the number of the mixed signals, Short Time Fourier Transform(STFT) is employed to segment received mixtures. Then, we formulate the blind source signal as cluster problem. Furthermore, we construct Cost Function Pair and Decision Coordinate System by using density clustering. At the end of this paper, we discuss the performance of the proposed method and verify the novel method based on several simulations. We verify the proposed method on numerical experiments with real signal transmission, which demonstrates the validity of the proposed method.
基金This paper was prepared with the support of the National Youth Science Foundation
文摘This paper deals with the continuous time Markov decision programming (briefly CTMDP) withunbounded reward rate.The economic criterion is the long-run average reward. To the models withcountable state space,and compact metric action sets,we present a set of sufficient conditions to ensurethe existence of the stationary optimal policies.
文摘In this paper we discuss the discrete, time non--homogeneous discounted Markovian decisionprogramming, where the state space and all action sets are countable. Suppose that the optimumvalue function is finite. We give the necessary and sufficient conditions for the existence of anoptimal policy. Suppose that the absolute mean of rewards is relatively bounded. We also give thenecessary and sufficient conditions for the existence of an optimal policy.
文摘Corporations need to improve business processes in order to enhance velocity and service levels while reducing their processing costs and differentiating themselves in the face of competition. The levitation of importance beyond support roles has raised IT investment decisions to high priority in chief executive officers＇ agendas. Corporate planning groups as well as lines of business are increasingly applying techniques of IT applications portfolio management in a more systematic fashion to improve decision-making and resource-allocation processes. Recent advances in software engineering and IT service delivery methodologies have achieved the logical separation of business functions from implementation. This separation has made a new breed of innovative IT project possible with a new project risk structure; the adjustment of portfolio management techniques is appropriate. We present an integrated portfolio management model so that the corporation can focus on organic growth through sources at both the department and top management levels. The research gives clear advice as to how top management can seek economic growth by selecting an entrepreneurial strategic posture, implying a strong risk-taking propensity. By integrating a risk-return model and risk-tolerance paradigm to cope with today＇s risk structure, overall capabilities can improve the decision process and the corporation＇s performance as well. The application of the integrated technique to a Japanese manufacturing firm is described.
