• Journal of Industrial Technology
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• v.25 no.B
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• pp.81-87
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• 2005

This project addresses the product identification and design application of corrugated products for kinetic architectural applications. Initially, an architectural approach to product identification was carried out with the end goal of demonstrating application design principles of numerous novel architectural examples from the forest products industry. A design and prototyping stage followed demonstrating such application design principles and functional analysis on various novel architectural examples. The results of coupling product identification with proven application advantages will be of potential value not only to architecture but also to other designers in the arts and sciences. The general motivation for the research arises out of a growing interest corrugated and paper products to be ideally suited for various architectural applications for their unparallel environmental benefits. Applications in architecture that use fewer resources and that adapt efficiently to complex and changing conditions are particularly relevant for an industry (architecture) that is increasingly aware of its environmental responsibilities. Corrugated and paper products are highly under-utilized by the building industry as design choice material for both interior and exterior applications. An increased awareness of the benefits of corrugated and paper products coupled with a process of designing for the total use and reuse will prove to be a valuable means by which issues of energy efficiency and environmental quality of buildings could be enhanced to be more efficient, affordable, and therefore reach a broader audience of users.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.12 no.5
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• pp.1912-1931
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• 2018

In future wireless network, user experience and energy efficiency will play more and more important roles in the communication systems compared to their roles at present. Quality of experience (QoE) and Energy Efficiency (EE) become the widely used metrics. In this paper, we study a combinatorial problem of QoE and EE and investigate a fair power allocation in heterogeneous networks. We first design a new metric, QoE-aware EE (QEE) to reflect the relationship of QoE and energy. Then, the concept of Utopia QEE is introduced, which is defined as the achievable maximum QEE in ideal conditions, for each user. Finally, we transform the power allocation process to an optimization of ratio of QEE and Utopia QEE and use invasive weed optimization (IWO) algorithm to solve the optimization problem. Numerical simulation results indicate that the proposed algorithm can get converged and efficiently improve the system energy efficiency and the QoE for each user.

• Journal of the Korean Institute of Educational Facilities
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• v.19 no.1
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• pp.45-53
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• 2012

Recently, as the environment issue has been stand out, people's interests in energy consumption of the building have been increased as well. Especially, university has been classified as the one of the main causes of excessive energy consumption. Therefore, domestic and foreign universities are trying to build a green campus in an attempt for sustainable development. Since early 2000s, foreign universities have been aware that one of the main causes of global warming is an excessive consumption of energy in universities. Accordingly, they adopted various energy management programs for the conservation. Ultimately, enforcing energy conservation and using alternative energy resulted in lower expense and it was a great help for the universities. On the other hand, excessive consumption of energy in domestic universities has been considered as serious, which led them to become the second main energy consumers in 2010. However, it seems people do not truly recognize the impotance of energy management, therefore, relatively little attention has been paid to this matter. Based on Leadership in Energy & Environmental Design(LEED) rating systems for on-campus building operation and maintenance, this research suggests the evaluation standard to effectively analyze the energy management activity with the best practices conducted in foreign universities and to solve the problem of campus facilities management in domestic universities. The result shows that domestic universities do not have a designated task force for effective energy management and the lack of energy professionals hinders for the long term development. Therefore, domestic universities should recognize the seriousness of the excessive energy consumption and develop low carbon green campus through proactive management practices since this is very essential for domestic universities to get more competitive in this global era.

• The Journal of Industrial Distribution & Business
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• v.14 no.5
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• pp.19-29
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• 2023

Purpose: The hospitality sector is vital to economic development, especially in metropolitan regions, where hotels are a pivotal factor in drawing in leisure and corporate visitors. Despite the potential advantages of urban hotels, there is a gap in empirical studies on the impacts of eco-friendly interior design on hotel appeal and guest behavior. Therefore, this study aims to fill out the research gap. Research design, data and methodology: This study employed a review of the literature systematically as its research design. The study's data collection technique involves exploring peer-reviewed journals through electronic databases like Scopus, and Web of Science. The present author double-checked the quality of instrument for all usable dataset. Results: Prior literature has stated a strong linkage between green interior design in urban hotels and customer behavior and hotel attractiveness. Using environmentally conscious methods, hotels can enhance the quality of their indoor atmosphere, preserve energy and water supplies, and establish a favorable public perception that appeals to environmentally aware consumers, thereby improving their overall experience and contentment. Conclusions: This study concludes that creating indoor spaces with environmental factors in mind could lead to a more enjoyable and beneficial atmosphere for hotel visitors and adopting a sustainability-oriented approach to hotel design and operations could attract potential customers.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.42 no.1
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• pp.87-94
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• 2019

A wireless sensor network is emerging technology and intelligent wireless communication paradigm that is dynamically aware of its surrounding environment. It is also able to respond to it in order to achieve reliable and efficient communication. The dynamical cognition capability and environmental adaptability rely on organizing dynamical networks effectively. However, optimally clustering the cognitive wireless sensor networks is an NP-complete problem. The objective of this paper is to develop an optimal sensor network design for maximizing the performance. This proposed Ranking Artificial Bee Colony (RABC) is developed based on Artificial Bee Colony (ABC) with ranking strategy. The ranking strategy can make the much better solutions by combining the best solutions so far and add these solutions in the solution population when applying ABC. RABC is designed to adapt to topological changes to any network graph in a time. We can minimize the total energy dissipation of sensors to prolong the lifetime of a network to balance the energy consumption of all nodes with robust optimal solution. Simulation results show that the performance of our proposed RABC is better than those of previous methods (LEACH, LEACH-C, and etc.) in wireless sensor networks. Our proposed method is the best for the 100 node-network example when the Sink node is centrally located.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.14 no.3
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• pp.1313-1336
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• 2020

Cognitive radio (CR) is regarded as an effective approach to avoid the inefficient use of spectrum. However, CRNs have more special security problems compared with the traditional wireless communication systems due to its open and dynamic characteristics. Primary user emulation attack (PUEA) is a common method which can hinder secondary users (SUs) from accessing the spectrum by transmitting signals who has the similar characteristics of the primary users' (PUs) signals, and then the SUs' quality of service (QoS) cannot be guaranteed. To handle this issue, we first design a multiple-phase energy detection scheme based on the cooperation of multiple SUs to detect the PUEA more precisely. Second, a joint SUs scheduling and power allocation scheme is proposed to maximize the weighted effective capacity of multiple SUs with a constraint of the average interference to the PU. The simulation results show that the proposed method can effectively improve the effective capacity of the secondary users compared with the traditional overlay scheme which cannot be aware of the existence of PUEA. Also the good delay QoS guarantee for the secondary users is provided.

• Smart Structures and Systems
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• v.10 no.3
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• pp.271-298
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• 2012

Researchers have made significant progress in recent years towards realizing effective structural health monitoring (SHM) utilizing wireless smart sensor networks (WSSNs). These efforts have focused on improving the performance and robustness of such networks to achieve high quality data acquisition and distributed, in-network processing. One of the primary challenges still facing the use of smart sensors for long-term monitoring deployments is their limited power resources. Periodically accessing the sensor nodes to change batteries is not feasible or economical in many deployment cases. While energy harvesting techniques show promise for prolonging unattended network life, low power design and operation are still critically important. This research presents the WiSeMote: a new, fully integrated ultra-low power wireless smart sensor node and a flexible base station, both designed for long-term SHM deployments. The power consumption of the sensor nodes and base station has been minimized through careful hardware selection and the implementation of power-aware network software, without sacrificing flexibility and functionality.

• KIPS Transactions on Software and Data Engineering
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• v.3 no.2
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• pp.81-86
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• 2014

In this paper, we present an effective sound classification system for recognizing the real-time context of a smartphone user. Our system avoids unnecessary consumption of limited computational resource by filtering both silence and white noise out of input sound data in the pre-processing step. It also improves the classification performance on low energy-level sounds by amplifying them as pre-processing. Moreover, for efficient learning and application of HMM classification models, our system executes the dimension reduction and discretization on the feature vectors through k-means clustering. We collected a large amount of 8 different type sound data from daily life in a university research building and then conducted experiments using them. Through these experiments, our system showed high classification performance.

• Journal of Korea Society of Industrial Information Systems
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• v.11 no.2
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• pp.48-62
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• 2006

In recent years, wireless sensor networks(WSNs) have emerged as a new fast-growing application domain for wireless distributed computing and embedded systems. Recent Progress in computer and communication technology has made it possible to organize wireless sensor networks composed tiny sensor nodes. Furthermore, ad-hoc network protocols do not consider the characteristics of wireless sensor nodes, making existing ad-hoc network protocols unsuitable for the wireless sensor networks. First, we propose power-aware routing protocols based on energy-centered routing metrics. Second, we describe power management techniques for wireless sensor nodes using the spatial locality of sensed data. Many nodes can go into a power-down mode without sacrificing the accuracy of sensed data. Finally, combining the proposed techniques, we describe an overall energy-efficient protocol for data collection. Experimental results show that the proposed routing protocol can extend the routing path lifetime more than twice. The average energy consumption per sensing period is reduced by up to 30%.

• The Transactions of the Korean Institute of Electrical Engineers P
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• v.64 no.4
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• pp.337-342
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• 2015

The company of 4 core materials that are needed for photovoltaic generation is located in area around this university in Gunsan, Saemangeum. And also, it was almost completed the value chain about the production of Polysilicon, Ingot, Wafer, modules and the design, construction of generation system. The industry-academy-government has understood that because of the relative companies' production and investment, it leads to a supply and demand of manpower and thus will have field centered manpower education. This program will help the problem of lack of manpower in relative companies by establishing competitive major agreement like vocational education system. Also, the university and the participating company in joint have pushed ahead field business education to make the least of industrial-education's mismatch, the training of professional manpower connected with related industries to make the universities chemical characteristics, companies securing excellent manpower and contributed to the revitalization of the regional economy. In this paper, are aware that photovoltaic industry is a future strategic industry for the country, so we will train the immediately site adapting manpower for the area of photovoltaic material and system as our goal. This is shown results of education operation for 4 years.