• Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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• 2009.06a
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• pp.281-281
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• 2009

Electrical analysis of red, green and blue (RGB) organic light emitting diode (OLED), which were measured at various temperatures from 230K to 370K by steps of 20K, were investigated using current-voltage(I-V) characteristics. Ideality factor and series resistance were obtained from the thermionic emission theory. Experimental results showed that the ideality factors were 2.12 for red, 3.80 for green, and 6.03 for blue OLED at 290K, respectively. The series resistance were 1960, 2190, 2630$\Omega$ for red, green and blue OLED at the same temperature. It was found that the OLED ideality factors were much higher than near unity for well-behaved silicon diodes, because of the organic material and multi-layer fabrication diode. In addition, the series resistance was near 2k$\Omega$ range. More researches are required to reduce both ideality factors and series resistance to increase the efficiency of OLEDs.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.9 no.1
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• pp.61-66
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• 2009

In this paper, an example of implementation of a embedded system technology for web based monitoring and control system is presented. For it interfaces with target board as an embedded system was developed, which was applied to specific green room model and verified of its usefulness. We implemented client/server socket programs using Java classes, and web based green room monitoring and control system as an user interface using JavaApplet. The implemented system did send information of green room model to client programs well on TCP/IP and control signals from client to green room model well too.

• Advances in Energy Research
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• v.5 no.1
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• pp.1-12
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• 2017

The world today has reached a certain level where it is impossible to get the quality education at the tertiary level without the use of Information and Communication Technology (ICT). ICT has made life better, communication easier and faster, teaching and learning more practical through computers and other technology based learning tools. However, despite these benefits ICT has equally contributed immensely to environmental problems. Therefore there is the need to use ICT resources efficiently in universities for environmental sustainability so as to save both the university environment and the world at large from the effects of global warming. This paper evaluates the carbon footprints from the use of ICT devices and comes up with a proposed green ICT framework to reduce the carbon footprints in universities. The framework contains techniques and approaches to achieve greenness in the data center, personal computers (PCs) and monitors, and printing in order to make ICT more environmentally friendly, cheaper, safer and ultimately more efficient. Concerned experts in their respective departments at Asia Pacific University of Technology and Innovation (APU) Malaysia evaluated the proposed framework. It was found to be effective for achieving efficiency, reducing energy consumption and carbon emissions.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.5 no.5
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• pp.1001-1010
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• 2001

In TLM method, Discrete Green's function ABC have been used when improved the exactness of analyzing in wide frequency band. But this technology has a complicated process to apply absorbing boundary, which means it needs additional numerical analyzing process to obtain discrete Green's function data. so, In this paper, we propose new Green's absorbing layer for simple process to apply absorbing boundary. newly proposed Green's absorbing layer is produced by applying of loss operation, loading discrete Green's function with attenuation. A state of optimum absorbing would be obtained by relation between increasing rate of loss, attenuation constant and length of green's absorbing layer. and then Analysts of waveguide BPF is carried out using Green's absorbing layer within state of optimum absorbing, then this result is in corrective agreement with the result applying traditional discrete Green's function ABC.

• International journal of advanced smart convergence
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• v.11 no.4
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• pp.170-176
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• 2022

Given the critical importance of enhancing the level of ESG practices, the current research examines the impact of credit card users' pro-environmental characteristics (i.e., environmental self-accountability, eco-label involvement) on their satisfaction with credit card benefits related to green life. That is, this research investigates whether consumers' satisfaction with green credit card benefits varies depending on their environmental self-accountability and eco-label involvement. Specifically, we predict that (1) for consumers with high (vs. low) environmental self-accountability, their satisfaction with credit card benefits related to green life will be higher (hypothesis 1); and (2) when consumers have high (vs. low) eco-label involvement, they will be more likely to be satisfied with credit card benefits related to green life (hypothesis 2). An online survey (N = 293) was conducted to test the two hypotheses. In support of the hypotheses, the results indicate that (1) respondents who had high (vs. low) environmental self-accountability were more satisfied with credit card benefits related to green life, and (2) respondents with high eco-label involvement, as compared to those with low eco-label involvement, reported greater satisfaction with credit card benefits related to green life. We suggest an important insight into how credit card companies approaching ESG issues can increase their consumers' satisfaction with green credit card benefits, considering consumers' individual characteristics such as environmental self-accountability and eco-label involvement.

• Journal of Electrical Engineering and Technology
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• v.8 no.4
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• pp.704-711
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• 2013

Data center is an information hub and resource for information-centric society. Since data center houses hundreds to ten thousands servers, networking and communication equipment, and supporting systems energy saving is one of the hottest issues for green data center. Among several solutions for green data center this paper introduces higher voltage direct current (DC) power feeding system. Contrary to legacy alternating current (AC) power feeding system equipped with Uninterruptible Power Supply (UPS), higher voltage DC power feeding system is reported to be a more energy efficient and reliable solution for green data center thanks to less AC/DC and DC/AC conversions. Main focus of this paper is on reliability issue for reliable and continuous operation of higher voltage DC power feeding system. We present different types of configuration of the power feeding systems according to the level of reliability. We analyze the reliability of the power feeding systems based on M/M/1/N+1/N+1 queueing model. Operation of the power feeding system in case of failure is also presented.

• Current Optics and Photonics
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• v.3 no.1
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• pp.22-26
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• 2019

A compact red-green-blue beam combiner (multiplexer) based on two-mode interference (TMI) is proposed and its feasibility is shown through three-dimensional beam propagation simulation. The first stage TMI beam combiner makes red (637 nm) and blue (446 nm) beams combined toward one output port and the second stage one combines red, blue, and green (532 nm) beams. The power transmission to the output port from the red, green, and blue input ports are 0.96, 0.99, and 0.98, respectively. When the wavelength deviation is 10 nm, the transmission is maintained to be larger than 0.9. The size of the combiner is as tiny as $0.02{\times}3.8mm^2$.

• Journal of Distribution Science
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• v.17 no.10
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• pp.107-114
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• 2019

Purpose - This is longitudinal research which aims to investigate the meaning of greenness to consumers' behavior. Consumers adopt green marketing as a new factor in product buying and consumption and more and more consumers prefer green product and services. Consumers' green buying behavior can be different from other purchasing experiences. There would be changes in the meaning of green as time passed and it can be different from countries to other countries. This study examines focus group studies with several groups. There is a ten-year gap between 2010 focus group and 2019 focus group interviews. With this ten-year gap, we can find the change of greenness to consumers. Research design, data, and methodology - The data were collected from Turkish, Korean, Kazakhstan people. This is a cross-sectional study and focus group interview was designed. We can gain information relevant to the research problem with using focus group study and get some insights into basic needs and attitudes of green marketing. The subjects for green purchase interviewee were confined to under 40 years old's shoppers regardless of gender. The first study was investigated with several groups in 2010 and the second interview were conducted in 2019. Results - Results show that the meaning of greenness for consumer has changed over time in accordance with the growing accordance of environmental sustainability. Basically, green marketing still means valuable, natural, recycle-able, good for health, clean, smart behavior, essential benefit. The concept of greenness significantly evolved since it was investigated in 2010. It moves away from focusing on specific environmental issues to considering global sustainability issues. Especially we found that greenness can be related with globalization, higher education, social status at the 2019 interview. Conclusions - This paper attempted to confirm the green marketing is essential and expands its meaning to various aspect. Usually, we can think green marketing is everywhere, therefore, people don't care about green issues in real. But consumers are adopting green marketing more and more, it can be a means to attract potential consumers. Therefore, companies should provide enough greenness information for people and they might apply greenness communication to attract potential customers.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.12
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• pp.4345-4363
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• 2021

Deep Learning as a Service (DLaaS), utilizing the cloud-based deep neural network models to provide customer prediction services, has been widely deployed on mobile cloud computing (MCC). Such services raise privacy concerns since customers need to send private data to untrusted service providers. In this paper, we devote ourselves to building an efficient protocol to classify users' images using the convolutional neural network (CNN) model trained and held by the server, while keeping both parties' data secure. Most previous solutions commonly employ homomorphic encryption schemes based on Ring Learning with Errors (RLWE) hardness or two-party secure computation protocols to achieve it. However, they have limitations on large communication overheads and costs in MCC. To address this issue, we present LeHE4SCNN, a scalable privacy-preserving and communication-efficient framework for CNN-based DLaaS. Firstly, we design a novel low-expansion rate homomorphic encryption scheme with packing and unpacking methods (LeHE). It supports fast homomorphic operations such as vector-matrix multiplication and addition. Then we propose a secure prediction framework for CNN. It employs the LeHE scheme to compute linear layers while exploiting the data shuffling technique to perform non-linear operations. Finally, we implement and evaluate LeHE4SCNN with various CNN models on a real-world dataset. Experimental results demonstrate the effectiveness and superiority of the LeHE4SCNN framework in terms of response time, usage cost, and communication overhead compared to the state-of-the-art methods in the mobile cloud computing environment.

• Journal of Communications and Networks
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• v.12 no.2
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• pp.140-149
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• 2010

Green communication is a new paradigm of designing the communication system which considers not only the processing performance but also the energy efficiency. Power control management is one of the approaches in green communication to reduce the power consumption in distributed communication system. In this paper, we propose improved power control schemes for mobile satellite systems with ancillary terrestrial components (ATCs). In order to increase system capacity and reduce the transmitting power of the user's equipment, we propose an efficient channel estimation method consisting of a modified open-loop power control (OLPC) and closed-loop power control (CLPC). The OLPC works well if the forward and reverse links are perfectly correlated. The CLPC is sensitive to round-trip delay and, therefore, it is not effective in a mobile satellite system. In order to solve the above problem, we added monitoring equipment to both the OLPC and CLPC to use information about transmitting power that has not yet been received by the receiver over the satellite/ATC channel. Moreover, we adapted an efficient pilot diversity of both OLPC and CLPC in order to get a better signal to interference plus noise ratio estimation of the received signal.