• Journal of The Korean Society of Agricultural Engineers
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• v.48 no.7
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• pp.73-86
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• 2006

Concentrated poultry production in the State of Alabama, U.S.A. results in excessive poultry litter. Application of poultry litter to pastures and row crops serves as a cheap alternative to commercial fertilizer. However, over the years, poultry litter application to perennial forage crops in the Appalachian Plateau region of North Alabama has resulted in phosphorus (P) buildup in soils. Phosphorus index (P-index) and comprehensive nutrient management plans (CNMP) are often used as a best management practice (BMP) for proper land application of litter. Because nutrient management planning is often not done for small animal feeding operations (AFOs), and also because, in case of excess litter, litter transportation infrastructure has not been developed, over application of poultry litter to near by area is a common practice. To alleviate this problem, optimal poultry litter management and transportation infrastructure needs to be developed. This paper presents a methodology to optimize poultry litter application and transportation through efficient nutrient management planning and transportation network analysis. The goal was accomplished through implementation of three important modules, a P-Index module, a CNMP module, and a transportation network analysis module within ArcGIS, a Geographic Information System (GIS). The CNMP and P-Index modules assist with land application of poultry litter at a rate that is protective of water quality, while the transportation network analysis module helps transport excess litter to areas requiring litter in the Appalachian Plateau and Black Belt (a nutrient-deficient area) regions. Once fully developed and implemented, such a system will help alleviate water quality problems in the Appalachian Plateau region and poor soil fertility problems in the Black Belt region by optimizing land application and transportation. The utility of the methodology is illustrated through a hypothetical case study.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.17 no.6
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• pp.1462-1470
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• 2013

This paper proposes an SWAD-KNH(Sybil & Wormhole Attack Detection using Key, Neighbor list and Hop count) technique which consists of an SWAD(Sybil & Wormhole Attack Detection) module detecting an Worm attack and a KGDC(Key Generation and Distribution based on Cluster) module generating and an sense node key and a Group key by the cluster and distributing them. The KGDC module generates a group key and an sense node key by using an ECDH algorithm, a hash function, and a key-chain technique and distributes them safely. An SWAD module strengthens the detection of an Sybil attack by accomplishing 2-step key acknowledgement procedure and detects a Wormhole attack by using the number of the common neighbor nodes and hop counts of an source and destination node. As the result of the SWAD-KNH technique shows an Sybil attack detection rate is 91.2% and its average FPR 3.82%, a Wormhole attack detection rate is 90%, and its average FPR 4.64%, Sybil and wormhole attack detection rate and its reliability are improved.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.27 no.8
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• pp.709-716
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• 2016

In this paper, A duplexer module with temperature-insensitive electrical characteristics was proposed for remote wireless communication system. Duplexer modules are required to have performances of low insertion loss, high isolation between transmitted band and received band, harmonic suppression as well as high power durability in the system for transmitting guided information to missile flying a free space on the ground. The proposed duplexer module are consist of transmission bandpass filter and receiving bandpass filter which are connected to common antenna port, planar coupler for output power monitoring and low pass filter for harmonic attenuation of power amplifier and coaxial cavity resonator. The material and dimensions of the resonator are determined for minimum frequency shift by temperature variation using 3D EM simulation. The measured results of the prototype showed a good agreement with the simulation results, and it should be well applied not only for guided weapon systems but also for any other communication systems such as remote radio head.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.41 no.3
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• pp.338-346
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• 2016

Wearable Device has various constraint about battery power consumption, size, weight, etc, because the devices is worn and operated by person and provide services. So, if a device includes too many functions, it dose not satisfies the constraint and lose price competitiveness due to become expensive. Therefore we suggest that make reassembly Unit Modular Device witch has common used functions in wearable devices and user can receive various services to reassemble Unit Modules. It is comprised of frames and modules. Each module has various functions. Each frames help module to communicate each modules. To realize this device, we design to guarantee each services to use necessary modules, to give priority to modules depending on the important of the task, to set that does not use to low energy mode.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.2
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• pp.372-378
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• 2015

Smoke generated from business establishments and factories will not only cause air pollution but also have a significant impact on the human body. Generally, the most common method for measuring the turbidity of the plume generated from the stack is a method of observing by the transmissometer mounted in the chimney or Method 9 from the US EPA(Environmental Protection Agency) which is a visual method of determining plume turbid emitted from stationary sources. However, these methods need a lot of cost to build and maintain. In this paper, we build a plume turbidity measurement module programs using a digital camera. We design and implement a module which acquires the pictures of the plume using a digital camera and measures the turbidity of it using the DOM(Digital Optical Method). In addition, we demonstrate the excellence by comparing and analyzing implemented module and other methods.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.9
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• pp.680-687
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• 2016

Small and middle sized architectural design firms still have trouble using BIM (Building Information Modeling) for their tasks, which means that it is necessary to develop BIM Libraries and Technical contents. These BIM libraries should be based on common technical standards that reflect the technical contents to provide optimum BIM design support. This is essential to reduce the technological burden on the design office, because BIM does not just involve the 3D modeling of the design, but provides very important information for calculating the quantity of materials required for the construction and providing materials for the design work. Therefore, this research was aimed at improving the efficiency of the BIM design process by developing a system module based on the BIM technical contents data for the purpose of linking the BIM data and technical contents. The developed system module will be expanded to other uses of BIM in the long term.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.05a
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• pp.312-315
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• 2014

Smoke generated from business establishments and factories will not only cause air pollution but also have a significant impact on the human body. Generally, the most common method for measuring the turbidity of the plume generated from the stack is a method of observing by the transmissometer mounted in the chimney or Method 9 from the US EPA(Environmental Protection Agency) which is a visual method of determining plume turbid emitted from stationary sources. However, these methods need a lot of cost to build and maintain. In this paper, we build a plume turbidity measurement module programs using light sensing. We design and implement a module which acquires the pictures of the plume using a digital camera and measures the turbidity of it using the DOM(Digital Optical Method). In addition, we demonstrate the excellence by comparing and analyzing implemented module and other methods.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.2
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• pp.294-305
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• 2022

Recently, drones have been widely used to solve environmental problems such as environmental protection and natural disaster monitoring. This study focuses on the problem of the search altitude of drones when using drones to search for air pollution in order to maintain the urban air environment. In particular, when exploring air pollution in cities using drones, various experiments are conducted to determine the appropriate search altitude for each air pollution source and each communication module. Through the experiment, the maximum measurable altitude for the most common air pollutants, such as CO (carbon monoxide), NO₂ (nitrogen dioxide), O₃ (ozone), and P10, P2.5 (fine dust), was identified, and the effective search altitude for each air pollution source was determined. As a result of the experiment, three types of drone search altitudes including legally measurable altitudes were suggested. The communication module measurable altitude was 60m to 120m depending on the communication module, and the effective measurable altitude was analyzed from 10m to 100m.

• Korean Medical Education Review
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• v.24 no.1
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• pp.56-62
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• 2022

Despite current regulations requiring social distancing due to coronavirus disease 2019, problem-based learning (PBL) requires student interaction to achieve common goals and enhance critical thinking and deep learning abilities. Social presence in the online education environment reduces both perceptions of physical distance and psychological distance in interactions. This study aimed to compare PBL activities between in-person and videoconferencing classes, and to investigate social presence and learning satisfaction in a videoconferencing PBL environment. The PBL consisted of six modules for both the first and second years of Chonnam National University Medical School. As social distancing was strengthened, the second class of the fifth module in both years was converted to an online format and the fifth module was excluded. The first four PBL modules were conducted as in-person classes, but the last PBL module was administered via videoconferencing. After the final PBL module, 100 (81.3%) first-year medical students and 90 (79.6%) second-year students were asked to complete a self-administered questionnaire on social presence and learning satisfaction. There were no significant differences in the small group activities of tutorial sessions between in-person and videoconferencing classes. In the online videoconferencing class, students who had favorable attitudes toward the tutors' social role and interactions with peers showed high satisfaction with their learning. In conclusion, online videoconferencing allows students to simultaneously perceive their interactions with others and social presence, even at a distance. Tutors can enhance a sense of online community and collaborative learning as facilitators of online PBL.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2004.05a
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• pp.52-55
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• 2004

VMS (virtual manufacturing system) may be defined as a transparent interface/control mechanism to support human decision-making via simulation and monitoring of real operating situation through modeling of all activities in RMS (real manufacturing system). The three main layers in VMS are business process layer, manufacturing execution layer, and facility operation layer, and each layer is represented by a specific software system having its own input modeler module. The current version of these input modelers has been implemented based on its own 'local' framework, and as a result, there are no information sharing mechanism, nor a common user view among them. Proposed in this paper is a unified modeler framework covering the three VMS layers, in which the concept of PPR (product-process-resource) model is employed as a common semantics framework and a 2D graphic network model is used as a syntax framework. For this purpose, abstract class PPRObject and GraphicObject are defined and then a subclass is inherited from the abstract class for each application layer. This feature would make it easier to develop and maintain the individual software systems. For information sharing, XML is used as a common data format.