• Science of Emotion and Sensibility
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• v.16 no.3
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• pp.293-304
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• 2013

Procrastination is an irrational choice to delay high-priority work in order to avoid its unpleasantness, despite the fact that the negativity will not cease if the work still remains undone. We hypothesized that (1) people underestimate the future negativity (i.e., delay neutralization) and (2) in order to complete work in a timely manner, one should project oneself into the future so as to recognize that the negativity associated with an activity does not diminish over time. Especially, negative future thinking that is unrelated to the consequence was hypothesized to reduce delay neutralization of negativity. In the present study, undergraduate students made a series of choices between delayed-but-longer and immediate-but-shorter assignment by employing an inter-temporal choice paradigm. We tracked how positive and negative episodic future thinking influenced the degree to which negativity is neutralized over time (Experiment 1). Following this, we confined the experimental condition to negative thinking about the future (Experiment 2). Participants neutralized negativity involved in assignment as a function of time, suggesting that procrastination arises from the delay neutralization of the negativity. Critically, such neutralization was significantly reduced when participants imagined a negative future event, but this did not occur when they imagined a positive future event (Experiment 1), or when participants did not think about the future (Experiment 1, 2). Our findings suggest that, prior to making a decision between work and indulgence, imagining negative future events can be an effective way to reduce the neutralization of delayed negativity and, in turn, procrastination.

• Journal of Broadcast Engineering
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• v.12 no.2
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• pp.93-101
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• 2007

In heterogeneous networks SVC (Scalabile Video Coding) will be used for IPTV service. This paper analyses how to determine the optimal inter-layer reference scheme according to final level to be displayed in hybrid scalable coding which consists of spatial, quality and temporal layer. It determines where to stop layering quality layer stacks in lower spatial layer according to the relationship between noise induced by loss of high frequency component eliminated by filter in order to get rid of aliasing when spatial layering is processed and noise induced by quantization when quality layering is processed. This paper shows the choice of the level of layering between spatial and quality to get better coding efficiency and then presents what is needed for determining it.

• IEIE Transactions on Smart Processing and Computing
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• v.6 no.3
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• pp.193-199
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• 2017

Instead of using only spatial features from a single frame for person re-identification, a combination of spatial and temporal factors boosts the performance of the system. A recurrent neural network (RNN) shows its effectiveness in generating highly discriminative sequence-level human representations. In this work, we implement RNN, three Long Short Term Memory (LSTM) network variants, and Gated Recurrent Unit (GRU) on Caffe deep learning framework, and we then conduct experiments to compare performance in terms of size and accuracy for person re-identification. We propose using GRU for the optimized choice as the experimental results show that the GRU achieves the highest accuracy despite having fewer parameters than the others.

• The Journal of Industrial Distribution & Business
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• v.8 no.1
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• pp.5-13
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• 2017

Purpose - In this article, a dynamic model like a VAR is an appropriate choice for estimating the possible interrelationship between ownership structure and firm performance as a dynamic process. Research design, data, and methodology - Data of this work are collected from Chinese stock exchange including 350 Chinese-listed firms during the period of 1999-2012. We hypothesize that this interrelationship dynamically exists between ownership structure and firm performance. To examine the correlation, a panel Vector Auto-regression (PVAR) approach generated by GMM method is utilized to test the possible dynamic relation embedded in corporate governance. Another two dynamic analysis solutions such as orthogonalized impulse-response function and variance decomposition are also used simultaneously. Results - Findings of this study indicate the evidence that dynamically endogenous relationship exists between ownership structure and firm performance. Further, there is a dynamical correlation between investment and performance. Impulse response and variance decomposition illustrate that impact of a shock to variables themselves is the main source for their variability. Conclusions - The conclusion in this study is that there is a bidirectional and inter-temporal effect between proportion of ownership and corporate performance for a long run in accordance with impulse response function. Overall, our results suggest that corporate governance in China is more market oriented.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.10
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• pp.2247-2255
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• 2015

In very shallow water acoustic communication channel, underwater acoustic (UWA) communication signal is observed as frequency selective fading signal due to time-varying multipath. This induces a time and frequency dependent inter-symbol-interference (ISI) and degrades the UWA system performance. There is no study about how the performances of the error correction codes are related to a multipath fading statistics in very shallow water. In this study, the characteristics of very shallow water multipath fading channel is analyzed and the performances of two different forward error correction (FEC) codes are compared. The convolution code (CC) and Reed-Solomon (RS) code are adopted. Sea experimental results show that RS code is better choice than CC in frequency selective channel with fading.