• Journal of Korea Spatial Information System Society
• /
• v.11 no.1
• /
• pp.55-62
• /
• 2009

In u-GIS environment, we collect spatial data needed through sensor network and provide them with information real-time processed or stored. When information through Internet is requested on Web based applications, it is transmitted in XML. Especially, when requested information includes spatial data, GML, S-XML, and other document that can process spatial data are used. In this processing, real-time stream data processed in DSMS is transformed to S-XML document type and spatial information service based on web receive S-XML document through Internet. Because most of spatial application service use existing spatial DBMS as a storage system, The data used in S-XML and SDBMS needs transformation between themselves. In this paper, we propose S-XML a transformation method using caching of spatial data. The proposed method caches the spatial data part of S-XML to transform S-XML and relational spatial database for providing spatial data efficiently and it transforms cached data without additional transformation cost when a transformation between data in the same region is required. Through proposed method, we show that it reduced the cost of transformation between S-XML documents and spatial information services based on web to provide spatial information in u-GIS environment and increased the performance of query processing through performance evaluation.

• Journal of Korean Public Health Nursing
• /
• v.19 no.1
• /
• pp.117-128
• /
• 2005

Purpose: The study examines the condition of medication counseling to determine the patient customers' demands, with the purpose of providing a basic data to improve the condition of medication counseling for phamacists and clinical nurses. Method: Questionnaire was completed by 150 nursing students. For data analysis, the SPSS win 10.0 program was used. Result: The contents of medication counseling given by the pharmacists in order of frequency were($100\%$ means 'always'): way of use$(78.7\%)$, period of taking medicine $(63.3\%)$, dosage$(46.7\%)$, effect$(27.3\%)$, drug name$(18.7\%)$, diet$(12.7\%)$, question of taking other drug$(12.7\%)$, giving a notice$(12.0\%)$, way of storage$(7.3\%)$, side effects$(6.0\%)$, drug interaction$(3.3\%)$' The needs and demands desired by the patients in order of frequency were('the most important' is given 10 points, followed by the others in numerically decreasing order until 0): effect(8.68), way of use(7.60), side effect(7.20), giving a notice(6.38), dosage (5.95), drug name(5.67), a period of taking medicine(5.60), drug interaction(4.37), diet(3.63), the way of storage(3.03). Most of the respondents were satisfied with the pharmacists' kindness$(62.7\%)$. Some recognized the medication counseling was quite good$(16.7\%)$, but the majority felt it was modest$(50.8\%)$' Nearly half of them felt the medication counseling time was quiet short$(47.3\%)$' The communication was mostly oral$(83.3\%)$, while others used sticker$(6.0\%)$ or leaflet$(6.0\%)$ additionally. There was a significant correlation between pharmacists' kindness and medication counseling content(p<,01), and also recognition(p<.001). The correlation between the number of medication counseling which gave to the patient customer and the recognition was also significant (p<.001). As the number of medication counseling increased, the patient felt the medication counseling time was adequate(p<.05). The correlation between the medication counseling recognition and the adequate time was also very significant(p<.001). Conclusion: These results revealed the situation of medication counseling to be poor and to be differ from the patient customers' demands. Therefore optimal medication counseling, especially regarding possible side effects and drug interaction should be emphasized. Pharmacists and clinical nurses should give qualitative medication counseling which reflects the patients' demands.

• Journal of the Korean Institute of Gas
• /
• v.12 no.2
• /
• pp.38-41
• /
• 2008

In this research, we propose a new method for tracking the release rate using the concentration data obtained from the sensor. We used a sensor network that has already been set surrounding the area where hazardous gas releases can occur. From the real-time sensor data, we detected and analyzed releases of harmful materials and their concentrations. Based on the results, the release rate is estimated using the neural network. This model consists of 14 input variables (sensor data, material properties, process information, meteorological conditions) and one output (release rate). The dispersion model then performs the simulation of the expected dispersion consequence by combining the sensor data, GIS data and the diagnostic result of the source term. The result of this study will improve the safety-concerns of residents living next to storage facilities containing hazardous materials by providing the enhanced emergency response plan and monitoring system for toxic gas releases.

• Journal of Internet Computing and Services
• /
• v.14 no.6
• /
• pp.71-84
• /
• 2013

Log data, which record the multitude of information created when operating computer systems, are utilized in many processes, from carrying out computer system inspection and process optimization to providing customized user optimization. In this paper, we propose a MongoDB-based unstructured log processing system in a cloud environment for processing the massive amount of log data of banks. Most of the log data generated during banking operations come from handling a client's business. Therefore, in order to gather, store, categorize, and analyze the log data generated while processing the client's business, a separate log data processing system needs to be established. However, the realization of flexible storage expansion functions for processing a massive amount of unstructured log data and executing a considerable number of functions to categorize and analyze the stored unstructured log data is difficult in existing computer environments. Thus, in this study, we use cloud computing technology to realize a cloud-based log data processing system for processing unstructured log data that are difficult to process using the existing computing infrastructure's analysis tools and management system. The proposed system uses the IaaS (Infrastructure as a Service) cloud environment to provide a flexible expansion of computing resources and includes the ability to flexibly expand resources such as storage space and memory under conditions such as extended storage or rapid increase in log data. Moreover, to overcome the processing limits of the existing analysis tool when a real-time analysis of the aggregated unstructured log data is required, the proposed system includes a Hadoop-based analysis module for quick and reliable parallel-distributed processing of the massive amount of log data. Furthermore, because the HDFS (Hadoop Distributed File System) stores data by generating copies of the block units of the aggregated log data, the proposed system offers automatic restore functions for the system to continually operate after it recovers from a malfunction. Finally, by establishing a distributed database using the NoSQL-based Mongo DB, the proposed system provides methods of effectively processing unstructured log data. Relational databases such as the MySQL databases have complex schemas that are inappropriate for processing unstructured log data. Further, strict schemas like those of relational databases cannot expand nodes in the case wherein the stored data are distributed to various nodes when the amount of data rapidly increases. NoSQL does not provide the complex computations that relational databases may provide but can easily expand the database through node dispersion when the amount of data increases rapidly; it is a non-relational database with an appropriate structure for processing unstructured data. The data models of the NoSQL are usually classified as Key-Value, column-oriented, and document-oriented types. Of these, the representative document-oriented data model, MongoDB, which has a free schema structure, is used in the proposed system. MongoDB is introduced to the proposed system because it makes it easy to process unstructured log data through a flexible schema structure, facilitates flexible node expansion when the amount of data is rapidly increasing, and provides an Auto-Sharding function that automatically expands storage. The proposed system is composed of a log collector module, a log graph generator module, a MongoDB module, a Hadoop-based analysis module, and a MySQL module. When the log data generated over the entire client business process of each bank are sent to the cloud server, the log collector module collects and classifies data according to the type of log data and distributes it to the MongoDB module and the MySQL module. The log graph generator module generates the results of the log analysis of the MongoDB module, Hadoop-based analysis module, and the MySQL module per analysis time and type of the aggregated log data, and provides them to the user through a web interface. Log data that require a real-time log data analysis are stored in the MySQL module and provided real-time by the log graph generator module. The aggregated log data per unit time are stored in the MongoDB module and plotted in a graph according to the user's various analysis conditions. The aggregated log data in the MongoDB module are parallel-distributed and processed by the Hadoop-based analysis module. A comparative evaluation is carried out against a log data processing system that uses only MySQL for inserting log data and estimating query performance; this evaluation proves the proposed system's superiority. Moreover, an optimal chunk size is confirmed through the log data insert performance evaluation of MongoDB for various chunk sizes.

• The Journal of the Acoustical Society of Korea
• /
• v.42 no.5
• /
• pp.403-411
• /
• 2023

Functional ultrasound imaging, such as elasticity imaging and micro-blood flow Doppler imaging, enhances diagnostic capability by providing useful mechanical and functional information about tissues. However, the implementation of functional ultrasound imaging poses limitations such as the storage of vast amounts of data in Radio Frequency (RF) data acquisition and processing. In this paper, we propose a sub-Nyquist approach that reduces the amount of acquired axial samples for efficient shear-wave elasticity imaging. The proposed method acquires data at a sampling rate one-third lower than the conventional Nyquist sampling rate and tracks shear-wave signals through RF signals reconstructed using band-pass filtering-based interpolation. In this approach, the RF signal is assumed to have a fractional bandwidth of 67 %. To validate the approach, we reconstruct the shear-wave velocity images using shear-wave tracking data obtained by conventional and proposed approaches, and compare the group velocity, contrast-to-noise ratio, and structural similarity index measurement. We qualitatively and quantitatively demonstrate the potential of sub-Nyquist sampling-based shear-wave elasticity imaging, indicating that our approach could be practically useful in three-dimensional shear-wave elasticity imaging, where a massive amount of ultrasound data is required.

• Journal of Energy Engineering
• /
• v.20 no.1
• /
• pp.26-29
• /
• 2011

A promising alternative technology is the potential use of ice slurries as a secondary refrigerant in conventional cooling process. Ice slurries behave almost like a liquid and can be pumped through pipes although the energy capacity of ice slurries per unit volume is considerably higher than that for chilled water or brine due to the latent heat capacity of the ice particles. To give the basic data for the design of cooling systems using ice slurries, experimental study has been conducted to find out the performance of the cooling coil of show-case with ice slurries. Despite the fact that ice slurries entering the cooling coil had at least $5^{\circ}C$ higher temperature than that of R22, it was still capable of providing a similar cooling performance than that obtained with R22.

• Journal of The Korea Institute of Healthcare Architecture
• /
• v.24 no.3
• /
• pp.49-57
• /
• 2018

Purpose: The increase in patients requiring hemodialysis has resulted in an increase dialysis-associated infections risk. but there are no Renal Dialysis unit design standard meet specified safety and quality standards. Therefore, appropriate Establish standards and legal regulation is important for the provision of initial certification and maintenance of facility, equipment, and human resource quality. Methods: Literature survey on the design guideline and standards of Renal Dialysis unit design in Korea, U.S, Germany, Singapore, Hongkong, Dubai. Results: There are no established standards for facilities in dialysis units in Korea. To prevent infections in dialysis patients, necessary establish standards. Considering the domestic and overseas Health-care facilities standards, the major factors to be considered in the medical environment for Renal Dialysis Unit are as follows. First, planning to separate Clean areas(treatment area) from contaminated areas(medical waste storage area). Second, ensure sufficient space and minimum separation distance. Although there may be differences depending on the circumstances of individual institutions, renal dialysis unit consider the space to prevent droplet transmission. Third, secure infrastructure of infection prevention such as sufficient amount of hand hygiene sinks. Hand washing facilities for staff within the Unit should be readily available. Hand hygiene sinks should be located to prevent water from splashing into the treatment area. Fourth, Heating, ventilation and air conditioning (HVAC) system for Renal Dialysis Unit is all about providing a safer environment for patients and staff. Implications: The results of this paper can be the basic data for the design of the Renal Dialysis Units and relevant regulations.

• Korean Journal of Human Ecology
• /
• v.20 no.2
• /
• pp.487-503
• /
• 2011

The purpose of this study was to investigate residents' perceptions and attitudes towards Han-Ok based on a study of the characteristics and elements of Han-Ok that experts perceived. For the study, in-depth interviews were conducted and the data of 7 experts and 24 Han-Ok residents were analyzed. The results of the study were as follows. First, the characteristics of spatial arrangements are primarily emphasized and provide emotional stability for the residents. Placement on the ground, a suitable scale, appropriate openings and closures, hierarchical spatial system and a spatial relationship provide a feeling of comfort and protection. Second, the spaces and the materials of Han-Ok are considered the representative elements providing functionality and health. The close relationship between the inside and outside area makes the air naturally circulate and natural materials such as wood, soil, and paper have the function as natural ventilation, heat storage, and in the prevention of various illnesses. Third, residents in modern society put more of a value on experiences of natural environments that are usually impossible in the city. The simple and incomplete characteristics in using color, materials, and form, provide a culture of story telling and a leisurely lifestyle. Fourth, the cold and spatial inconvenience of Han-Ok are solved by partially using modernized equipment and material. The functionality of spatial systems in Han-Ok needs to be promoted in order to change the residents' perceptions of cold in Han-Ok.

• Journal of IKEEE
• /
• v.21 no.1
• /
• pp.39-45
• /
• 2017

Image compression is now essential for applications such as transmission and storage in data bases. For video and digital image applications the use of long tap filters, while not providing any significant coding gain, may increase the hardware complexity. We use a wavelet transform in order to obtain a set of bi-orthogonal sub-classes of images; First, the design of short kernel symmetric analysis is presented in 1-dimensional case. Second, the original image is decomposed at different scales using a subband filter banks. Third, this paper is presented a technique for obtaining 2-dimensional bi-orthogonal filters using McClellan transform. It is shown that suggested wavelet bases is well used on wavelet transform for image compression. From performance comparison of bi-orthogonal filter, we actually use filters close to ortho-normal filters on application of wavelet bases to image analysis.

• Journal of Information Processing Systems
• /
• v.10 no.1
• /
• pp.103-118
• /
• 2014

Over the last couple of years, traditional VANET (Vehicular Ad Hoc NETwork) evolved into VANET-based clouds. From the VANET standpoint, applications became richer by virtue of the boom in automotive telematics and infotainment technologies. Nevertheless, the research community and industries are concerned about the under-utilization of rich computation, communication, and storage resources in middle and high-end vehicles. This phenomenon became the driving force for the birth of VANET-based clouds. In this paper, we envision a novel application layer of VANET-based clouds based on the cooperation of the moving cars on the road, called CaaS (Cooperation as a Service). CaaS is divided into TIaaS (Traffic Information as a Service), WaaS (Warning as a Service), and IfaaS (Infotainment as a Service). Note, however, that this work focuses only on TIaaS and WaaS. TIaaS provides vehicular nodes, more precisely subscribers, with the fine-grained traffic information constructed by CDM (Cloud Decision Module) as a result of the cooperation of the vehicles on the roads in the form of mobility vectors. On the other hand, WaaS provides subscribers with potential warning messages in case of hazard situations on the road. Communication between the cloud infrastructure and the vehicles is done through GTs (Gateway Terminals), whereas GTs are physically realized through RSUs (Road-Side Units) and vehicles with 4G Internet access. These GTs forward the coarse-grained cooperation from vehicles to cloud and fine-grained traffic information and warnings from cloud to vehicles (subscribers) in a secure, privacy-aware fashion. In our proposed scheme, privacy is conditionally preserved wherein the location and the identity of the cooperators are preserved by leveraging the modified location-based encryption and, in case of any dispute, the node is subject to revocation. To the best of our knowledge, our proposed scheme is the first effort to offshore the extended traffic view construction function and warning messages dissemination function to the cloud.