• Journal of the Korean housing association
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• v.27 no.6
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• pp.113-124
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• 2016

The purpose of this study is to analyze characteristics of rental housing management and service preference according to social relationship types. The data for the analysis was collected through questionnaire survey method from 12th, April to 4th, May, 2016 and 565 data were finally used. Data were statistically analyzed using SPSS WIN 18.0. The findings of this study are as follows: 1) the six factors on social relations of subjects are made up as 'interpersonal stress of the relationship', 'new relationship', 'neighbor relations', 'online relationship', 'family relations', and 'friendship'. 2) Along with this result, cluster analysis was carried out, and four social relation types are classified and named as the 'extroverted relationship type', 'passive relationship type', 'active relationship type' and 'introverted relationship type'. 3) Rental housing management and service was examined separately as 'housing management system', 'housing services', and 'community facilities'. Differences in preference were identified by type of social relationship. Housing services and community facilities showed a significant difference in almost all items. In the housing management system, most of the items did not show any significant difference according to social relationship types.

• Genomics & Informatics
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• v.18 no.1
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• pp.5.1-5.5
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• 2020

Highly pathogenic avian influenza (HPAI) viruses have caused severe respiratory disease and death in poultry and human beings. Although most of the avian influenza viruses (AIVs) are of low pathogenicity and cause mild infections in birds, some subtypes including hemagglutinin H5 and H7 subtype cause HPAI. Therefore, sensitive and accurate subtyping of AIV is important to prepare and prevent for the spread of HPAI. Next-generation sequencing (NGS) can analyze the full-length sequence information of entire AIV genome at once, so this technology is becoming a more common in detecting AIVs and predicting subtypes. However, an analysis pipeline of NGS-based AIV sequencing data, including AIV subtyping, has not yet been established. Here, in order to support the pre-processing of NGS data and its interpretation, we developed a user-friendly tool, named prediction of avian influenza virus subtype (PAIVS). PAIVS has multiple functions that support the pre-processing of NGS data, reference-guided AIV subtyping, de novo assembly, variant calling and identifying the closest full-length sequences by BLAST, and provide the graphical summary to the end users.

• Bulletin of the Korean Chemical Society
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• v.25 no.7
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• pp.1061-1064
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• 2004

Molecular visualization software has the common objective of manipulation and interpretation of data from numerical simulations. They visualize many complicated molecular structures with personal computer and workstation, to help analyze a large quantity of data produced by various computational methods. However, users are often discouraged from using these tools for visualization and analysis due to the difficult and complicated user interface. In this regard, we have developed an easy-to-use three-dimensional molecular visualization and analysis program named POSMOL. This has been developed on the Microsoft Windows platform for the easy and convenient user environment, as a compact program which reads outputs from various computational chemistry software without editing or changing data. The program animates vibration modes which are needed for locating minima and transition states in computational chemistry, draws two and three dimensional (2D and 3D) views of molecular orbitals (including their atomic orbital components and these partial sums) together with molecular systems, measures various geometrical parameters, and edits molecules and molecular structures.

• The Korean Nurse
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• v.36 no.4
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• pp.88-99
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• 1997

Applying effective coping strategies and reducing powerlessness for the chronic pain adjustment of musculoskeletal patients were researched for basic data in the development of nursing intervention. The subjects were 99 musculoskeletal patients with chronic pain. Data was gathered with direct interview using a questionnaire. With the SAS tool. data were analyzed for percentage. Pearson correlation. t-test. and ANOVA according to characteristics of variables. Internal consistency(alpha) coefficients were .91 for coping scales and .71 for powerlessness scales. The results are as follows: 1. Pain duration was mainly 6 - 12 months(52. 5%). 2. Primary pain site was mainly lower limbs(58.6%) and pain severity was a moderate level. 3. The preference of coping strategies was decreased in the order named in resting. seeking social support. exercise or stretch. guarding. and asking for assistance. 4. The longer pain duration. the more the coping strategies of asking assistance used. This was stastically significant(F=3. 35. p<.05). 5. The group with the experience of hospital admission was more powerless than the group without that(F=3. as. p<.01). 6. Pain severity and powerlessness were significantly positively correlated(r=.444. p<.001). Coping strategy applying and powerlessness were significantly negatively correlated(r=-. 288. p<.01). In consequence. the nurse should playa role as the supporter of patient's maximal usage of his resources in pain relief. adjustment, and control. The nurses should also develop for the nursing intervention of physical therapy and educational programs.

• IEMEK Journal of Embedded Systems and Applications
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• v.5 no.4
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• pp.243-253
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• 2010

Multihop data delivery in vehicular ad hoc networks (VANETs) suffers from the fact that vehicles are highly mobile and inter-vehicle links are frequently disconnected. In such networks, for efficient multihop routing of road safety information (e.g. road accident and emergency message) to the area of interest, reliable communication and fast delivery with minimum delay are mandatory. In this paper, we propose a multihop vehicle-to-infrastructure routing protocol named Vertex-Based Predictive Greedy Routing (VPGR), which predicts a sequence of valid vertices (or junctions) from a source vehicle to fixed infrastructure (or a roadside unit) in the area of interest and, then, forwards data to the fixed infrastructure through the sequence of vertices in urban environments. The well known predictive directional greedy routing mechanism is used for data forwarding phase in VPGR. The proposed VPGR leverages the geographic position, velocity, direction and acceleration of vehicles for both the calculation of a sequence of valid vertices and the predictive directional greedy routing. Simulation results show significant performance improvement compared to conventional routing protocols in terms of packet delivery ratio, end-to-end delay and routing overhead.

• The Journal of Information Systems
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• v.25 no.4
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• pp.121-139
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• 2016

Purpose In this study, we propose the special purposed R package named ""new_Noun()" to process nonstandard texts appeared in various social networks. As the Big data is getting interested, R - analysis tool and open source software is also getting more attention in many fields. Design/methodology/approach With more than 9,000 R packages, R provides a user-friendly functions of a variety of data mining, social network analysis and simulation functions such as statistical analysis, classification, prediction, clustering and association analysis. Especially, "KoNLP" - natural language processing package for Korean language - has reduced the time and effort of many researchers. However, as the social data increases, the informal expressions of Hangeul (Korean character) such as emoticons, informal terms and symbols make the difficulties increase in natural language processing. Findings In this study, to solve the these difficulties, special algorithms that upgrade existing open source natural language processing package have been researched. By utilizing the "KoNLP" package and analyzing the main functions in noun extracting command, we developed a new integrated noun processing package "new_Noun()" function to extract nouns which improves more than 29.1% compared with existing package.

• Journal of Institute of Control, Robotics and Systems
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• v.20 no.7
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• pp.782-787
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• 2014

Due to the complicated steel structure and safety concern, it is very difficult to deploy wireless networks in power plants. This paper presents a hybrid network, named as $P^2HYMN$ (Power Plant HYbrid Maintenance Network), encompassing PLC (Power Line Communication), TLC (Telephone Line Communication), and Wireless LAN. The design goal of $P^2HYMN$ is to integrate multimedia data such as design drawings of control equipment, process data, and video image data for maintenance operation in electric power plants. A Multiplex Line Communication (MLC) device was designed and implemented to integrate PLC, TLC, and Wireless LAN into $P^2HYMN$. Performance test of $P^2HYMN$ has been conducted on a testbed under various conditions. The throughput of TLC was shown as 39 Mbps. Because the bandwidth requirement per camera is 8.5 Mbps on average, TLC is expected to support more thant four video camera at the same time.

• Korean Journal of Occupational Health Nursing
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• v.18 no.2
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• pp.141-152
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• 2009

Purpose: The purpose of this research was to describe the decision making of nurses in a VIP ward. Method: The methodology of collecting and analyzing the data was based on the grounded theory of Strauss and Corbin (1998). The data were collected through an in-depth interview, which were audio-taped and transcribed. The data were collected from 10 nurses from July to November 2007. Results: The core category on VIP ward nurses' decision making was named as "adjusting with flexibility and deepened insight". The causal condition was established by 'the patients who wanted to be treated specially'. The contextual conditions included 'caring patients from various departments', 'differences depending on the nurses' clinical experience', and 'client-centered atmosphere in the VIP ward'. The intervening conditions included 'problem solving styles of nurses', 'attitudes of patients and family members', 'nurse-doctor relationships', and 'accessibility to information'. It was confirmed that nurses changed their action-interaction strategies depending on the intervening conditions, thus resulted in the nurses' role conflict and the need to expand their consciousness. Conclusion: The result of this study indicates that nurse's decision making depends on their experiences and the nature of social context in which nursing occurs.

• Journal of Korean Academy of Nursing
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• v.43 no.4
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• pp.486-496
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• 2013

Purpose: The purpose of this study was to identify the awareness of child rearing among parents of children in early childhood and to provide fundamental data for parent education programs according to child rearing type. Methods: Q-methodology which provides a method of analyzing the subjectivity of each item was used. Forty Q items which were derived from a literature review and interviews with nurturing mothers were classified into a normal distribution using a 9-point scale. Collected data were analyzed using the QUANAL PC Program. Results: Four types of parents' child rearing were identified. Type I was named 'affection-respect type', type II, 'concern-rule compliant type', type III, 'solicitude-model type', and type IV, 'geniality-encouragement type'. Conclusion: For proper growth and development during early childhood, parents should have rational information and awareness of their child rearing type. Results of this study can be used as essential data to develop child rearing education programs according to parents' child rearing attitude.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.10 no.5
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• pp.2267-2285
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• 2016

Information Centric Networking that uses content name instead of IP address as routing identifier can handle challenges such as traffic explosion and user mobility, but it also suffers from scalability and incompatibility problems. In this paper by combining the concept of software defined networking and Internet end to end arguments, we propose a wide area deployable software defined information centric networking service model named SD-ICN. SD-ICN employs a dual space structure that separates edge service network and core transmission network. The enhanced SDN techniques are used in edge service network in order to implement intelligent data routing and caching, while traditional IP technique is reserved in core transmission network so as to provide wide area high speed data transmission. Besides, a distributed name resolution system based on the cooperation of different controllers is also presented. The prototype experiments in our campus network show that SD-ICN can be deployed in a scalable and incremental way with no modification of the core network, and can support typical communication modes such as multicast, mobility, multihoming, load balancing, and multipath data transmission effectively.