• The Journal of Korean Institute of Communications and Information Sciences
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• v.39C no.9
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• pp.828-840
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• 2014

There is a new evolution in technological advancement taking place called the Internet of Things (IoT). The IoT enables physical world objects in our surroundings to be connected to the Internet. For this idea to come to life, two architectures are required: the Sensing Entity in the environment which collects data and connects to the cloud and the Cloud Service that hosts the data. In particular, the combination of wireless sensor network for sensing and cloud computing for managing sensor data is becoming a popular intervention for the IoT era. The pharmaceutical cold chain requires controlled environmental conditions for the sensitive products in order for them to maintain their potency and fit for consumption. The monitoring of distribution process is the only assurance that a process has been successfully validated. The distribution process is so critical that anomaly at any point will result in the process being no longer valid. Taking the cold chain monitoring to IoT and using its benefits and power will result in better management and product handling in the cold chain. In this paper, Arduino based wireless sensor network for storage and logistics (land and sea) is presented and integrated with Xively cloud service to offer a real-time and innovative solution for pharmaceutical cold chain monitoring.

• Spatial Information Research
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• v.9 no.2
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• pp.325-340
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• 2001

This research is to construct more useful Geo-spatial data by building spatial data to three dimensional and utilize the database effectively for development of application, maintenance and management program, and application technology, which is on going based on “Haeundae three dimensional database construction project”. Furthermore, the acquisition of geographic information data and the technological improvement of effective construction would be the important factors to judge the qualitative reputation of GIS. Above all, studies to create accurate data and overcome the error limitation are much more important than any other thing. Final form of Spatial Data to materialize efficient GIS(Geographic Information System) must be three dimensional spatial data which has attribute data, actual concept and numerical value of real world. In connection to that, development is on the move to improve building technique of useful spatial data and digitalize the entire country in cryberspace. $\ulcorner the cyber country lrcorner$is designed to mange the entire country systematically. This simulation would be able to cover administration of government institution, public service, corporate business and even the public life in the cyeberspace though the computer. Materialization of efficient GIS and establishment of condition as technically strong nation through the early realization of $\ulcorner the cyber country lrcorner$will provide a great opportunity to open up the global market with exportation of advanced technology.

• Journal of the Korea Society of Computer and Information
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• v.16 no.11
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• pp.35-44
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• 2011

Advances in science and technology have made a lot of changes in our life. Especially, sensors have used in various ways to monitor in real time and analyze the world effectively. Traditional sensor networks, however, have used their own protocols and architecture so it had to be paid a lot of additional cost. In the past 8 years, OGC and ISO have been formulating standards and protocols for the geospatial Sensor Web. Although the OGC SWE initiatives have deployed some components, attempts have been made to access sensor data. All spatial operations had to calculate on the client side because traditional SOS architecture did not consider spatial operation for GeoSensor. As a result, clients have to implement and run spatial operations, and it caused a lot of overload on them and decreased approachableness. In this paper we propose S-SOS for in-situ and moving GeoSensor that extends 52 North SOS and provides spatialFilter and spatialFinder operations. The proposed S-SOS provides an architecture that does not need to edit already deployed SOSs and can add spatial operations as occasion. Additionally we explain how to express the spatial queries and to be used effectively for various location based services.

• Journal of Korean Academy of Nursing
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• v.21 no.3
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• pp.349-364
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• 1991

Recognition of the usefulness and the importance of the nursing diagnosis is increasing. There is a prevailing opinion that nursing diagnosis should be used to improve the quality of nursing care. Developing standardized nursing care palns based on nursing diagnoses is therefore considered one of the most essential projects for professional growth and improvement in the nursing world of Korea. Consequently, in the first stage of this research project, the ten nursing diagnses used most frequently with patients on medical and surgical wards were determined and related nursing care plans were developed, implemented and evaluated. The application of the standardized nursing care plans raised the nurses' confidence and proved to be effective in enhancing the quality of nursing care. This study was initiated as the next stage, to develop, test, and determine the validity of nursing care plans for the remaining nursing diagnoses. Nineteen medical and surgical wards were selected for the study ; the 176 staff nurses working on those wards and 1211 patients hospitalized there (603 patients during the nursing care plan use) took part in the project. The following summarizes the results of the study : 1. After listing all the nursing diagnoses up to the 20th in frequency from each ward except the ten used in the first study, 22 nursing diagnoses were selected. Two related to ‘self care deficit’, were combined into one. Standardized nursing care plans were established for these 21 nursing diagnoses. 2. The first page of each nursing care plan lists the related factors and defining characteristics as supporting data. The application rate distribution revealed that the majority were recorded less than 50% of the time. For each nursing diagnosis, only one to three related factors were recorded more than 50% of the time regardless of the number of suggested related factors, and similarly, only one to five defining characteristics were recorded more than 50% of the time regardless of the number of suggested defining characteristics. Therefore, these factors and defining characteristics were proposed as the common related factors and the typical signs and symptoms for each nursing diagnosis. 3. The application rate distribution for the expected outcomes, and the nursing orders that were the main data of each nursing care plan occurred more than 50% of the time, unlike the related factors and the characteristics that occurred less frequently. These findings supported the clinical validity. 4. In an effort to evaluate indirectly the effect of the use of the standardized nursing care plans, nurses' job satisfaction and perceptions of their ability in the use of the nursing process were measured and compared. Scores after the use of the plans were significantly higher than those before. The experience in actually using the standardized nursing care plans with patients increased the nurses' professional and emotional satisfaction and their confidence in using the nursing process. Also when the nurses who actually used the nursing care plans were asked to rate their effectiveness, the highest score was given to ‘the ease of establishing the nursing goal’, followed by ‘improved professional advice and care for patients’, ‘the efficiency and systemization of charting’, ‘the definite recognition of the nursing problem’, and ‘the selection of effective and appropriate nursing interventions’ in descending order. The results indicate the nurses were very positive about the effect of the real clinical application of standardized nursing care plans, and that the objective of this study to utilize the nursing diagnosis to strengthen the nursing process was attained.

• The Journal of Bigdata
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• v.5 no.1
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• pp.77-88
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• 2020

Recently, many researches habe been done to organize and analyze various complex relationships in real world, represented in the form of graphs. In particular, the computer field literature data system, such as DBLP, is a representative graph data in which can be composed of papers, their authors, and citation among papers. Becasue graph data is very complex in storage structure and expression, it is very difficult task to search, analysis, and visualize a large size of bibliographic big data. In this paper, we develop a graphic user interface tool, called EEUM, which visualizes bibliographic big data in the form of graphs. EEUM provides the features to browse bibliographic big data according to the connected graph structure by visually displaying graph data, and implements search, management and analysis of the bibliographc big data. It also shows that EEUM can be conveniently used to search, explore, and analyze by applying EEUM to the bibliographic graph big data provided by DBLP. Through EEUM, you can easily find influential authors or papers in every research fields, and conveniently use it as a search and analysis tool for complex bibliographc big data, such as giving you a glimpse of all the relationships between several authors and papers.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.45 no.5
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• pp.102-109
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• 2008

In this paper, the robust hybrid modulation type classifier which use both HOS and WT key features and can recognize 10 digitally modulated signals without a priori information in multipath fading channel conditions is proposed. The proposed classifier developed using data taken field measurements in various propagation model (i,e., rural area, small town and urban area) for real world scenarios. The 9 channel data are used for supervised training and the 6 channel data are used for testing among total 15 channel data(i.e., holdout-like method). The Proposed classifier is based on HOS key features because they are relatively robust to signal distortion in AWGN and multipath environments, and combined WT key features for classifying MQAM(M=16, 64, 256) signals which are difficult to classify without equalization scheme such as AMA(Alphabet Matched Algorithm) or MMA(Multi-modulus Algorithm. To investigate the performance of proposed classifier, these selected key features are applied in SVM(Support Vector Machine) which is known to having good capability of classifying because of mapping input space to hyperspace for margin maximization. The Pcc(Probability of correct classification) of the proposed classifier shows higher than those of classifiers using only HOS or WT key features in both training channels and testing channels. Especially, the Pccs of MQAM 3re almost perfect in various SNR levels.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.8 no.5
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• pp.38-47
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• 2009

This paper aims to evaluate the freeway traffic management Strategy based on exTMS according to traffic situation of freeway. As freeway user's demands increase, we thus need future-oriented and optimized traffic management. So, through improving the existing system and introducing the advanced system, these systems evaluate for not only preparing the application in real world but also preliminary feasibility. To evaluate effects of the traffic management based on exTMS, in this study, shoulder LCS, advanced VMS(assumption in it is improving next-generation system which it can be offering diverse dynamic traffic information), Ramp-metering system are applicated in simulation. In addition, this study evaluates the effect when all proposed systems are applicated, and compare the individual effect of when independent system is applicated, through considering about traffic condition of V/C=0.5, V/C=0.8, V/C=1.2. The study results show that all assumed cases, the travel speed were improved according to the increasing V/C. Furthermore, the results of evaluated the individual system show that the shoulder LCS was found to be the largest effect, and the effect of VMS(detour rate is 11%) is larger than the other cases.

• Korean Journal of Agricultural Science
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• v.47 no.3
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• pp.693-705
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• 2020

Grapes (Vitis spp. L.) are the third most produced fruit in the world. Crown gall disease caused by Agrobacterium vitis forms galls in the stems of the grapevines and reduces the vitality of the fruit trees, resulting in reduced yields. This pathogen has occurred in vineyards worldwide and caused serious economic losses. It is a soil-borne disease, so Agrobacterium vitis can survive for several years in vineyards and is difficult to control. Additionally, since there is no effective chemical control method, the most effective control method is the breeding of resistant varieties. To make the resistant variety, marker-assisted selection (MAS) enables fast breeding with low cost. In this study, we applied a genome-wide association study (GWAS), by combining phenotyping and genotyping-by-sequencing (GBS), for the development of a single nucleotide polymorphism (SNP) marker set related to crown gall disease using 350 grapevine varieties. As a result of the GBS based genotyping analysis, about 58,635 SNPs were obtained. In addition, the phenotypic analysis showed 35.2% resistance, 73% moderate susceptibility and 16.4% highly susceptibility. Moreover, after confirmation, two genes (VvARF4 and VvATL6-like) were shown to be related to crown gall disease based on the results of GWAS analysis, using the phenotypic data, and GBS. High-resolution melting analysis (HRMA) was performed using the Luna^® Universal Probe with real-time PCR to distinguish the melting peaks of the resistant and susceptible varieties. Our data show that these SNP markers are expected to be helpful in evaluating resistance against grapevine crown gall disease and in breeding.

• Trans-
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• v.3
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• pp.1-28
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• 2017

As the field of film aesthetics expands, the concept of classical the mise-en-scene expands too its scope. This paper examines the concept of mise-en-scene through spatial connections. The primary goals of this study are understanding the relation between the frame and the shot, the continuity between the scene and the sequence, and the aesthetic dimension to the plan-sequence. In modern cinema theory, the elements of mise-en-scene are more emphasized in terms of efficiency, but this study is concerned that the classical aesthetic system is still important. To this end, we examine the concept of plan-sequence, which was called the best technique of past visual realism aesthetics, is utilized in digital cinema. Finding significance for the modern use of plan-sequences is a secondary goal of this paper and we expect it to be a stepping stone to search for the aesthetics of digital cinema. The plan-sequence is one of the important factors that can be evaluated in the preparation and application of the event for the movie director. In the real world where the film itself is used commercially, digital film will have a conceptual tool that can utilize allegorics of 'geopolitical unconsciousness' through plan-sequences.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.25 no.1
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• pp.19-30
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• 2007

Modeling 3D buildings is an essential process to revive the real world into a computer. There are two ways to create a 3D building model. The first method is to use the building layer of 1:1000 digital maps based on high density point data gained from airborne laser surveying. The second method is to use LiDAR point data with digital images achieved with LiDAR. In this research we tested one sheet area of 1:1000 digital map with both methods to process a 3D building model. We have developed a process, analyzed quantitatively and evaluated the efficiency, accuracy, and reality. The resulted differed depending on the buildings shape. The first method was effective on simple buildings, and the second method was effective on complicated buildings. Also, we evaluated the accuracy of the produced model. Comparing the 3D building based on LiDAR data and digital image with digital maps, the horizontal accuracy was within ${\pm}50cm$. From the above we derived a conclusion that 3D building modeling is more effective when it is based on LiDAR data and digital maps. Using produced 3D building modeling data, we will be utilized as digital contents in various fields like 3D GIS, U-City, telematics, navigation, virtual reality and games etc.