• IEIE Transactions on Smart Processing and Computing
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• v.6 no.3
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• pp.158-167
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• 2017

Internet-based social and interactive video applications have become major constituents of the envisaged applications for next-generation multimedia networks. However, inherently dynamic network conditions, together with varying user expectations, pose many challenges for resource allocation mechanisms for such applications. Yet, in addition to addressing these challenges, service providers must also consider how to mitigate their operational costs (e.g., energy costs, equipment costs) while satisfying the end-user quality of service (QoS) expectations. This paper proposes a heuristic solution to the problem, where the energy incurred by the applications, and the monetary costs associated with the service infrastructure, are minimized while simultaneously maximizing the average end-user QoS. We evaluate the performance of the proposed solution in terms of serving probability, i.e., the likelihood of being able to allocate resources to groups of users, the computation time of the resource allocation process, and the adaptability and sensitivity to dynamic network conditions. The proposed method demonstrates improvements in serving probability of up to 27%, in comparison with greedy resource allocation schemes, and a several-orders-of-magnitude reduction in computation time, compared to the linear programming approach, which significantly reduces the service-interrupted user percentage when operating under variable network conditions.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.3
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• pp.987-996
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• 2021

The development of Internet technology can affect firm value through the use of social media by business people. Nowadays, social media affect businesses of all sizes in several different ways. Despite the various benefits obtained by using social media, research at the organizational level and its impact on business performance have not grown as fast as desired. This research aims to examine the effect of social media on oil and gas firms' value. The research sample consists of 9 oil and gas firms listed on the Indonesian Stock Exchange 2013-2018. Social media proxies are firms' social media, other social media mentions, and social media sentiment. Firm value is measured by the market value to assets ratio. Data analysis uses a random-effect regression test. Based on the analysis, the social media account of a firm has a positive effect on firm value. It indicates that social media give advantages for oil and gas firms to give a signal of business prospect, make use of opportunities related to industry alliances, recruit employees globally, and c. On the other hand, the positive sentiment on social media has no effect on oil and gas firms' value.

• Proceedings of the KIEE Conference
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• 1997.07b
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• pp.735-738
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• 1997

The traffic congestion caused by the exploding increase of vehicles became one of the severest social problems. Among the various approaches to solve this problem, controlling the length of traffic signals appropriately according to the individual traffic situation would be the most plausible and cost-effective method. To design a traffic signal controller which has such a property as adaptive decision-making process, we adopt fuzzy logic control method(fuzzy traffic signal controller), Moreover, using genetic algorithms we obtain an optimized fuzzy traffic signal controller (GA-fuzzy traffic signal controller). To evaluate and validate the proposed fuzzy and GA-fuzzy traffic signal controller, simulation results are presented.

• Proceedings of the ESK Conference
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• 1996.10a
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• pp.206-215
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• 1996

Recently, proportion of the aged becomes greater in Korea like the advanced country as time passed away, and this is treated as one of major social problems. Therfore, we investigated visual/auditory signal detection performance to evaluate vocational aptitude of the middle-and old-aged workers in this study. It was shown that signal detection performance decreased as workers became older, and there was large individual difference in signal detection performance. Since signal detection performance in visual task decreased rapidly and more than that in auditory task, the middle-and old-aged workers can not carry out properly visual inspection and precision task was related with that in auditory task. It can be expected that the parameters used in this study are in good use for evaluating a worker's aptitude.

• Journal of the Korean Society of Safety
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• v.34 no.4
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• pp.68-75
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• 2019

As the tower crane accident emerged as a social issue in 2017, various government measures were prepared. Most of the measures are focused on erecting, climbing, and dismantling phases. Analyzes of 84 serious accidents related to tower cranes from 2000 to 2018 and 104 near misses accidents from 2016 to 2018 revealed that 50% of the serious accidents occurred during the operating phase. The main occupation influencing operating phase accidents was signalman(81.6% of serious accidents), whose communication and competency were governing causes. This result was the same in 294 questionnaires to signalmen. Signal systems and education policies for tower crane signalman in Korea and foreign countries were analyzed, and standardization of wireless signal system and improvement of education system were propose.

• Journal of the Korean Society of Safety
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• v.38 no.2
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• pp.36-43
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• 2023

In this study, a four-point bending test was conducted to assess and detect the damage to reinforced concrete structures using the acoustic emission (AE) technique. Based on the crack investigation results, flexural failure was classified into four stages and compared with the characteristic analysis results of AE parameters. The parametric characterization indicated that the activity of the primary AE signal was high in the early stage, and that of the second signal increased after the flexural cracks stabilized. Because the secondary AE signal included noise generated by friction, parameter-based analysis for damage assessment was performed using the primary signal; the secondary signal was used as complement. The activity analyses of the primary and secondary signals effectively classified crack propagation; however, determining the macrocracks and yielding of reinforcing bars had certain limitations. Nevertheless, applying the damage index with cumulative AE energy is a complementary technique for detecting and assessing structure damage that well detects the occurrence of macrocracks.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.1
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• pp.305-315
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• 2021

This article aims to explore the contribution of social media value to a company's financial performance in a digital environment economy since the awareness of companies and investors in the use of social media opens up new mechanisms for disseminating information. Quantitative method is used in this study with Multivariate Analysis of Variance as the analysis tool. The data used is secondary data gathered from Indonesia Stock Exchange (IDX) using 308 companies as samples. In the multivariate test, four kinds of multivariate significance tests were carried out, namely Pillai Trace, Wilk Lambda, Hotelling's Trace, and Roy's Largest Root. It was found that social media value has a small contribution in the difference of the level of profitability and the value of the company in Indonesia, but it doesn't have a contribution to the difference of the level of liquidity. The contribution was an implication of online Word of Mouth (WOM) motives which are interrelated with signal theory and as additional information for investors in relation to single-person decision theory. This study provides an insight into the importance of social media management considering that the world of digital economy will continue to develop, so companies in Indonesia need to take advantage of these opportunities.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.21 no.4
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• pp.18-29
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• 2022

Since the operation of an reft-turn actuated signal driven mainly by vehicles may increase the waiting time for walking, this signal causes inconvenience or stress to pedestrians. Therefore, in this study, the change in waiting time for walking before and after the application of an reft-turn actuated signal and the stress on the pedestrians were investigated through a questionnaire. The investigation showed that the waiting time for walking increased by 37% during non-peak time. Also the waiting time for walking of 62.1% of pedestrians became longer and 78% of them were stressed because of it. Meanwhile, simulation(VISSIM) showed that the vehicle travel speed slightly decreased to 1.07km/h(a 2.5% decrease), and the average waiting time for walking decreased by 15.51sec(a 28% decrease) with a pedestrian priority actuated signal. Therefore, it is expected that the pedestrian priority actuated signal can reduce the waiting time for walking and relieve pedestrian stress.

• Journal of Institute of Control, Robotics and Systems
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• v.20 no.6
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• pp.612-618
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• 2014

A pattern classifier-based approach for recognizing internal states of human participants in interactions is presented along with its experimental results. The approach includes a step for collecting video recordings of human-human interactions or humanrobot interactions and subsequently analyzing the videos based on human coded annotations. The annotation includes social signals directly observed in the video recordings and the internal states of human participants indirectly inferred from those observed social signals. Then, a pattern classifier is trained using the annotation data, and tested. In our experiments on human-robot interaction, 7 video recordings were collected and annotated with 20 social signals and 7 internal states. Several experiments were performed to obtain an 84.83% recall rate for interaction engagement, 93% for concentration intention, and 81% for task comprehension level using a C4.5 based decision tree classifier.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.5 no.3
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• pp.152-157
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• 2012

In this paper, we develop a muscle exercise prescription system and present a prescription method by analyzing bioelectric signal of human muscles. This system is designed to give right exercise prescriptions include strength, duration, frequency of exercise after diagnosing personal body condition using EMG(Electromyography). With the help of these prescriptions all users can keep there optimum exercise status and avoid excess exercise symptom and, we van utilize in all the measurements like abnormal posture, muscle power, muscle regidity, muscle fatigue, muscle balance. Also easily accessable system can offer variable utilizations such as in health care center, sports center, social welfare center, social medical center, school, and kinder garden.