• Title/Summary/Keyword: Green Data Center

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A Study on the Introduction of Green IT Based on the Cases of Implementing Green Internet Data Center (그린 데이터센터 구축 사례에 기반한 그린 IT 도입 방안에 관한 연구)

  • Song, Gil-Heon;Shin, Taek-Soo
    • Information Systems Review
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    • v.11 no.2
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    • pp.147-167
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    • 2009
  • As global climate changes, the interest in environmental crisis is increasing and a number of international agreements and regulations against this crisis are being established. Global information technology(IT) corporations are building their own pro-environmental green IT strategies to cope with the regulatory measures. Green IT broadly refers to pro-environmental technologies designed to replace hazardous materials, maximize energy effectivity, and find alternative energies. In the current stage of the IT industry development, Green IT specifically refers to the technologies that deal with the server heat generation and the energy reduction in data center. This study defines the concept of Green IT and reviews its origin and necessity. Then, it examines the issues regarding Green IT industry in Korea as well as other countries and compares the Green IT strategies developed in each country. Reviewing the recent development of IT and data center market enables us to see that overall Green IT strategies focus on the establishment of Green Internet Data Centers. Therefore, this study analyzes the cases in which some domestic and foreign corporations introduced Green Data Centers in order to examine the protocol and legal requirements for building Green IT, the aspects of environmental evaluation and design, and specific strategies for launching Green IT strategies and its future assignments. The conclusions of this study are as follows. First, to introduce Green Data Center as a strategy to build Green IT, the government and corporations should cooperate with each other. Partial introduction at the initial stage is desirable because, through the process, mutual trust between the two parties can be built more smoothly. Second, CEO's determination to build Green IT and continue its operation is indispensable. CEO's are required to have clear understanding as to why Green IT needs to be built and how it should be constructed. Those who initiate the construction of Green Data Center for Green IT need to know the definition and necessity of Green IT while at the same time understanding the implicit meanings of Green IT. They also need to be aware of future-oriented values of Green Data Center and readjust their corporate business activities in the pro-environmental direction. Finally, not only the CEOs' pro-environmental activities but also the change of mind on the part of all corporate employees is required to realize Green IT. It should be remembered that pro-environmental Green IT starts with minor activities.

Reliability Modeling of Direct Current Power Feeding Systems for Green Data Center

  • Choi, Jung Yul
    • 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.

The Method of Green Data Center to Improve the Power Efficiency (에너지 효율화를 위한 그린 데이터센터 도입방안)

  • Choi, Young-Jin;Moon, Sung-Jun;Kim, Jin-Hwan;Kim, Sung-Han;Shin, Il-Sup;Kim, Ki-Byoung
    • Journal of Digital Convergence
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    • v.8 no.3
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    • pp.181-197
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    • 2010
  • Recently, energy saving is a important concern. IT fields, also, are try to reduce the electricity during the IT service, that links to green IT. Especially, green data center is a hot issue, because there are many new projects to build large data center, that spends huge electricity. Even though there are many new projects, the process to build the green data center is not arranged. That depend on the personal experience during the data center construction. Especially, cooling is complex and many problem to reduce the electricity. So, this research provides the method, that is consisted of tasks, activities, and guideline to build the green data center.

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Developing the framework of level diagnosis for green data center (그린데이터센터의 수준진단 프레임워크 개발)

  • Ra, Jong-Hei;Lee, Sang-Hak
    • Journal of Digital Convergence
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    • v.9 no.2
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    • pp.141-152
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    • 2011
  • The data center has become an increasingly important part of most business operations. An increasing demand for computation has led to increasing industry energy consumption. Therefore, higher-than-normal rates of energy efficiency have become a core issue in the life cycle of data center. In this paper, we proposed the framework of level diagnosis for green data centre that can be used to diagnose the levels of capability maturity model. This framework contains the 5 key areas such as construction, air-conditioning, electricity, information technology, organization and indicators that can be applied as basic level diagnosis guide for green data center.

IDENTIFICATION OF GEOGRAPHICAL ORIGIN AND VARIETY OF GREEN COFFEE BY NIR

  • Nzabonimpa, Rukundo;Prodolliet, Jacques;Vouilloz, Annick
    • Proceedings of the Korean Society of Near Infrared Spectroscopy Conference
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    • 2001.06a
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    • pp.1151-1151
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    • 2001
  • The international coffee trade is conducted almost exclusively with green coffee. The main coffee producing countries include Brazil, Columbia, Indonesia, Mexico and the Ivory Coast. About 99 % of the coffee grown throughout the world belong to two coffee plant varieties that are commonly known as Arabica and Robusta. The quality of green coffee can be assessed according to several ISO standards (1,2,3,4,5). However, no official international standards for the authenticity of green coffee have been issued. It is important to know the country of origin of the coffee for the purposes of fair international trade. The geographic origin of the coffee is often stated on the label of coffee products such as speciality roasted and soluble coffees. Near Infrared Spectroscopy (NIR) is an accepted technique for quantitative analysis of various parameters in routine QC analysis of food products. It would appear to be a promising candidate as a tool for identification of green coffee origin and numerous feasibility studies have appeared in the literature on its use for soluble, roasted and green coffee variety identification as well as identification of arabica or robusta coffees. NIR spectrophotometers when configured in the reflectance mode are able to perform a complete profile of the NIR spectrum on whole beans. The data can then be interpreted by discriminant chemometrics data analysis. This is the approach used in the present study.

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A Case Study of Green Ambience through Green Cloud Computing

  • Kumar, Rethina;Kang, Jeong-Jin
    • International journal of advanced smart convergence
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    • v.1 no.2
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    • pp.52-58
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    • 2012
  • Green cloud computing refers to the green ambient benefits that information technology services delivered over the Internet can offer for the society. The green meaning environment friendly and cloud computing is a traditional symbol for the Internet and a type of service provider. Cloud computing has drastically increased the number of datacenters and the energy consumption of data centers and that has become a critical issue which is extremely important in green ambience. These days the cloud data center needs high energy resources that leads to high operational cost and also maximizes CO2 - carbon footprint that pollutes the ambience which is not to be considered as green ambience. So we need to provide a way that leads us to green ambience. Cloud computing for the green ambience should be designed in a way which will utilize less energy resources and to minimize the CO2 -carbon footprint, known as green cloud. In this paper we discuss various elements of Clouds which contributes to minimize the total energy consumption and the carbon emission so as to enable green ambience through green cloud computing.

System Design and Implementation of FLV Move Picture Solution Based on IDC apply to Mini IPTV (IDC기반 FLV동영상 솔루션의 Mini IPTV 적용시스템의설계 및 구현)

  • Kwon, O-Byoung;Shin, Hyun-Cheul
    • Convergence Security Journal
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    • v.11 no.4
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    • pp.11-17
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    • 2011
  • In this paper, we propose system design and implementation of FLV Move Picture Solution based on IDC apply to Mini IPTV. IDC of energy minimize and Green Data Center design resources make use of maximization, and Mini IPTV of diverse contents service provider and network provider offer Mini IPTV customers to transmit network. at this time implemented on the improve Move Picture of motion blur and compressibility using FLV solution file format and a compression technique, and reduced traffic cost and solved security question. specially, on the web quickly growing a branch of e-Learning wish to be of help.

Performance Improvement of a Deep Learning-based Object Recognition using Imitated Red-green Color Blindness of Camouflaged Soldier Images (적록색맹 모사 영상 데이터를 이용한 딥러닝 기반의 위장군인 객체 인식 성능 향상)

  • Choi, Keun Ha
    • Journal of the Korea Institute of Military Science and Technology
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    • v.23 no.2
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    • pp.139-146
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    • 2020
  • The camouflage pattern was difficult to distinguish from the surrounding background, so it was difficult to classify the object and the background image when the color image is used as the training data of deep-learning. In this paper, we proposed a red-green color blindness image transformation method using the principle that people of red-green blindness distinguish green color better than ordinary people. Experimental results show that the camouflage soldier's recognition performance improved by proposed a deep learning model of the ensemble technique using the imitated red-green-blind image data and the original color image data.

The Impact of Corporate Greenwashing Behavior on Consumers' Purchase Intentions of Green Electronic Devices: An Empirical Study in Vietnam

  • NGUYEN, Thi Thu Huong;NGUYEN, Kieu Oanh;CAO, Tuan Khanh;LE, Viet Anh
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.8
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    • pp.229-240
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    • 2021
  • The environment friendly lifestyle and the green product trend have motivated corporates to develop and adopt sustainable business practices. However, an increasing number of corporations have engaged in greenwashing practices to create the appearance of environmental responsibility. By employing the theory of reasoned action, the paper investigated a model linking corporate greenwashing and consumers' green purchase intentions with the mediating role of green trust and green word-of-mouth about green electronic devices in Vietnam. Using an online survey via Email, Zalo, and Wechat, data was obtained from 308 Vietnamese consumers who have been purchasing green electronic devices. Based on the responses of the participants from the questionnaires conducted, data analysis was conducted by using SEM in AMOS version 23. This investigation shows that corporate greenwashing negatively affects consumers' green trust, green word-of-mouth, and their green buying intentions. Additionally, the paper verifies that green trust and green word-of-mouth mediate the relationships between greenwashing and consumers' green purchase intentions. These results reinforce the extant understanding of greenwashing and its consequences. Finally, the study not only stimulates future research but serves as a reference for business managers, scholars, and students who are interested on the topic of environmental sustainability, new product development, and green brands.

Low-Temperature Sintering Behavior of Aluminum Nitride Ceramics with Added Copper Oxide or Copper

  • Hwang, Jin-Geun;Oh, Kyung-Sik;Chung, Tai-Joo;Kim, Tae-Heui;Paek, Yeong-Kyeun
    • Journal of the Korean Ceramic Society
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    • v.56 no.1
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    • pp.104-110
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    • 2019
  • The low-temperature sintering behavior of AlN was investigated through a conventional method. $CaF_2$, CuO and Cu were selected as additives based on their low melting points. When sintered at $1600^{\circ}C$ for 8 h in $N_2$ atmosphere, a sample density > 98% was obtained. The X-ray data indicated that eutectic reactions below $1200^{\circ}C$ were found. Therefore, the current systems have lower liquid formation temperatures than other systems. The liquid phase showed high dihedral angles at triple grain junctions, indicating that the liquid had poor wettability on the grain surfaces. Eventually, the liquid was likely to vaporize due to the unfavorable wetting condition. As a result, a microstructure with clean grain boundaries was obtained, resulting in higher contiguity between grains. From EDS analysis, oxygen impurity seems to be well removed in AlN lattice. Therefore, it is believed that the current systems are beneficial for reducing sintering temperature and improving oxygen removal.