• Proceedings of the Korean Information Science Society Conference
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• 2008.06a
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• pp.261-262
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• 2008

Due to technological advances, the manufacturing of small and low cost of sensors becomes technically and economically feasible. In recent years, an increasing interest in using Wireless Sensor Network (WSN) in various applications, including large scale environment monitoring, battle field surveillance, security management and location tracking. In these applications, hundreds of sensor nodes are left to be unattended to report monitored data to users. Since sensor nodes are placed randomly and sometimes are deployed in underwater. It is impossible to replace batteries often when batteries run out. Therefore, reducing energy consumption is the most important design consideration for sensor networks.

• Nuclear Engineering and Technology
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• v.46 no.6
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• pp.875-882
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• 2014

In terms of safety and the efficient management of spent fuel storage, detecting failed fuel is one of the most important tasks in a CANada Deuterium Uranium (CANDU) reactor operation. It has been successfully demonstrated that in a CANDU reactor, on-power failed fuel detection and location systems, along with alarm area gamma monitors, can detect and locate defective and suspect fuel bundles before discharging them from the reactor to the spent fuel storage bay. In the reception bay, however, only visual inspection has been used to identify suspect bundles. Gaseous fission product and delayed neutron monitoring systems cannot precisely distinguish failed fuel elements from each fuel bundle. This study reports the use of a sipping system in a CANDU reactor for the integrity assessment of spent fuel bundles. The integrity assessment of spent fuel bundles using this sipping system has shown promise as a nondestructive test for detecting a defective fuel bundle in a CANDU reactor.

• Journal of the Korean Society for Marine Environment & Energy
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• v.6 no.1
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• pp.21-29
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• 2003

Fishing, aquaculture, coastal tourism and port activities in southern coastal seas are important to the Korean economy Conventional strategies or quick-fixes may not be the best means of addressing coastal issues. Coastal issues in Korean coastal sea include harmful algal blooms (HAB), oxygen depletion, and sea grass disappearance. Regional coastal management plans have been developed during 2001~present after inauguration of Coastal Management Law in 1999. Activities such as eco-pioneer cities, pollution reduction, constitutional rearrangement, environmental regulation, monitoring indicators, and budgeting would be included in regional coastal management Planning. The successful implementation of integrated coastal management is largely dependent on the engagement of government and non-government organizations to increase the chorus of concern. The need to involve coastal area residents in restoring activities was addressed with the creation of NGOs' Association for Masan Bay Restoration (NAMR). Several restoration efforts by NAMR are currently underway in Masan Bay coastal zone with scientific and local knowledge. A new level of dialogue was achieved suggesting a sustainable picture of Masan Bay coastal area regarding to a new port construction.

• Journal of Convergence Society for SMB
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• v.2 no.1
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• pp.69-75
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• 2012

As the global warming and climate change cause the various social problems, such as disasters, abnormal temperature and diseases, technologies and studies for energy conservation and efficiency are increased. Energy use in buildings accounted for 22% of national energy use, so energy saving technology is promoted for residence, commercial and public buildings. Existing methods for energy conservation are passive ways, in that they consider heat loss and low-energy equipment. In recent years, active technologies emerge by converging with ICT, which detect and remove the energy waste situation by measuring, monitoring and controlling the energy use. In this paper, we describe technology trends for building energy optimization and investigates issues for active energy savings.

• Nuclear Engineering and Technology
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• v.53 no.5
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• pp.1705-1716
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• 2021

Bangladesh, as a newcomer country, is expecting to start her nuclear power journey by 2022. Due to evident reasons, newcomer nuclear countries face several key challenges concerning the development of national nuclear safety infrastructure. The paper investigates the status of the 7 key safety infrastructure issues out of the 19 and readiness of the supportive organizations, laboratories, and workforces following the International Atomic energy Agency's status evaluation guide at milestone 3 and foreign countries' practice. Much progress has been achieved at phase 3 regarding the establishments of a few Acts, a regulator, and an operator. However, comprehensive regulatory frameworks, skilled workforces, establishments of a few supportive organizations, and laboratories for managing environmental radioactivity, radiological accidents, and radioactive wastes are yet to ready. Several suggestions are made for establishing and expediting radiation monitoring laboratories, a radiological emergency management center, a radioactive waste management company, and technical support organizations for the safety infrastructure. To avoid perceived risks, policymakers and competent authorities need to emphasize creating an optimized safety infrastructure before commissioning and operating the 1^st nuclear power plant safely, securely, and cost-sustainably.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.12
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• pp.317-328
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• 2020

The board of directors play an important role in corporate climate strategy-making and decisions but might also compromise environmental policies to minimize agency cost. This study critically investigates the relationship between the attributes of the board of directors and the degree of sustainability performance for the energy sector as discussed in the literature. Our study cumulates existing knowledge offering important characteristics for a balanced board structure to increase the board's effectiveness in adopting sustainable initiatives that could reduce the adverse impact of an energy corporation's operation on the environment. Crucial attributes of the board of directors deemed to be positively associated with the commitment to reduce carbon footprint in the environment have been identified. Based on our extensive analysis of the literature we propose a conceptual framework that measures the influence of the board of directors' attributes on corporate environmental and social sustainability performance. The proposed framework will be useful as an initial step for top management and regulators to gain a better understanding of the balanced board structure required to achieve the social and environmental sustainability performance of corporations. Further, this paper contributes to a body of knowledge about how the board of directors could play a crucial role in monitoring social and environmental threats.

• Journal of information and communication convergence engineering
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• v.7 no.4
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• pp.475-479
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• 2009

In ad hoc network, the scarce energy management of the mobile devices has become a critical issue in order to extend the network lifetime. Current research activity for the Minimum Energy Multicast (MEM) problem has been focused on devising efficient centralized greedy algorithms for static ad hoc networks. In this paper, we consider mobile ad hoc networks(MANETs) that could provide the reliable monitoring and control of a variety of environments for remote place. Mobility of MANET would require the topology change frequently compared with a static network. To improve the routing protocol in MANET, energy efficient routing protocol would be required as well as considering the mobility would be needed. In this paper, we propose a new method, the CACH(Context-aware Clustering Hierarchy) algorithm, a hybrid and clustering-based protocol that could analyze the link cost from a source node to a destination node. The proposed analysis could help in defining the optimum depth of hierarchy architecture CACH utilize. The proposed CACH could use localized condition to enable adaptation and robustness for dynamic network topology protocol and this provide that our hierarchy to be resilient. As a result, our simulation results would show that CACH could find energy efficient depth of hierarchy of a cluster.

• The Transactions of the Korean Institute of Electrical Engineers P
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• v.56 no.1
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• pp.28-36
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• 2007

Sensor networks are usually composed of tens or thousands of tiny devices with limited resources. Because of their limited resources, many researchers have studied on the energy management in the WSNs(Wireless Sensor Networks), especially taking into account communications efficiency. For effective data transmission and sensor fault detection in sensor network environment, a new remote monitoring system based on PCA(Principle Component Analysis) and AANN(Auto Associative Neural Network) is proposed. PCA and AANN have emerged as a useful tool for data compression and identification of abnormal data. Proposed system can be effectively applied to sensor network working in LEA2C(Low Energy Adaptive Connectionist Clustering) routing algorithms. To verify its applicability, some simulation studies on the data obtained from real WSNs are executed.

• Journal of the Korean Society of Manufacturing Process Engineers
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• v.19 no.12
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• pp.21-27
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• 2020

Lithium-ion batteries are the heart of energy-storing devices and electric vehicles. Owing to their superior qualities, such as high capacity and energy efficiency, they have become quite popular, resulting in an increased demand for failure/damage prevention and useable life maximization. To prevent failure in Lithium-ion batteries, improve their reliability, and ensure productivity, prognosticative measures such as condition monitoring through sensors, condition assessment for failure detection, and remaining useful life prediction through data-driven prognostics and health management approaches have become important topics for research. In this study, the residual useful life of Lithium-ion batteries was predicted using two efficient artificial recurrent neural networks-ong short-term memory (LSTM) and gated recurrent unit (GRU). The proposed approaches were compared for prognostics accuracy and cost-efficiency. It was determined that LSTM showed slightly higher accuracy, whereas GRUs have a computational advantage.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.5 no.7
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• pp.1274-1292
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• 2011

Due to the variety of household electric devices and different power consumption habits of consumers at present, general home energy management (HEM) systems suffer from the lack of dynamic identification of various household appliances and a unidirectional information display. This study presented a set of intelligent interconnection network systems for electric appliances, which can measure the power consumption of household appliances through a current sensing device based on OSGi platform. The system establishes the characteristics and categories of related electric appliances, and searches the corresponding cluster data and eliminates noise for recognition functionality and error detection mechanism of electric appliances by applying the clustering algorithm. The system also integrates household appliance control network services so as to control them according to users' power consumption plans or through mobile devices, thus realizing a bidirectional monitoring service. When the system detects an abnormal operating state, it can automatically shut off electric appliances to avoid accidents. In practical tests, the system reached a recognition rate of 95%, and could successfully control general household appliances through the ZigBee network.