• Journal of the Korea Society of Computer and Information
• /
• v.14 no.9
• /
• pp.75-84
• /
• 2009

In this paper, the EPC Network as the most important technologies in the field of applied technology research and special attention to the use of RFID to better manage the disease in infected U-MAS (U-Medical Administrative Services) system was designed. U-MAS system, the Center for Disease Control in the illness, depending on the type of isolate and treat infected patients, recovery, discharge, isolation wards and intensive italian to manage and increase efficiency, manual and use a simple computer program improve the qualify of the current level, using RFID tags to improve the management of the patient everything that a little more and be out of the isolation ward, if competent disease management districts, such as the location to respond more quickly to facilitate the purpose is to contribute to. First, EPC Network and related technology for mobile RFID systems and related technology research. U-MAS system design offers. If you take advantage of the proposed U-MAS system for monitoring infectious disease patients and patients in the isolation ward, when the unauthorized departure location to shorten the time it takes to improve the effectiveness of disease management and present the elected effects was.

• Bulletin of the Korean Chemical Society
• /
• v.28 no.7
• /
• pp.1187-1194
• /
• 2007

The three major active isoflavonoids (calycosin-7-O-β -glucoside, isomucronulatol 7-O-β-glucoside, formononetin) and two main saponins (astragaloside I, astragaloside IV) in an extract of Radix Astragali were determined using rapid, sensitive, reliable HPLC/UV and LC-ESI-MS/MS methods. The separation conditions employed for HPLC/UV were optimized using a phenyl-hexyl column (4.6 × 150 mm, 5 μm) with the gradient elution of acetonitrile and water as the mobile phase at a flow rate of 1.0 mL/min and a detection wavelength of 230 nm. The specificity of the peaks was determined using a triple quadrupole tandem mass spectrometer equipped with an electrospray ionization (ESI) source that was operated in multiple reaction monitoring (MRM) in the positive mode. These methods were fully validated with respect to the linearity, accuracy, precision, recovery and robustness. The HPLC/UV method was applied successfully to the quantification of three major isoflavonoids in the extract of Radix Astragali. The results indicate that the established HPLC/UV and LC-ESI-MS/MS methods are suitable for the quantitative analysis and quality control of multi-components in Radix Astragali.

• Healthcare Informatics Research
• /
• v.24 no.4
• /
• pp.253-262
• /
• 2018

Objectives: We reviewed digital epidemiological studies to characterize how researchers are using digital data by topic domain, study purpose, data source, and analytic method. Methods: We reviewed research articles published within the last decade that used digital data to answer epidemiological research questions. Data were abstracted from these articles using a data collection tool that we developed. Finally, we summarized the characteristics of the digital epidemiological studies. Results: We identified six main topic domains: infectious diseases (58.7%), non-communicable diseases (29.4%), mental health and substance use (8.3%), general population behavior (4.6%), environmental, dietary, and lifestyle (4.6%), and vital status (0.9%). We identified four categories for the study purpose: description (22.9%), exploration (34.9%), explanation (27.5%), and prediction and control (14.7%). We identified eight categories for the data sources: web search query (52.3%), social media posts (31.2%), web portal posts (11.9%), webpage access logs (7.3%), images (7.3%), mobile phone network data (1.8%), global positioning system data (1.8%), and others (2.8%). Of these, 50.5% used correlation analyses, 41.3% regression analyses, 25.6% machine learning, and 19.3% descriptive analyses. Conclusions: Digital data collected for non-epidemiological purposes are being used to study health phenomena in a variety of topic domains. Digital epidemiology requires access to large datasets and advanced analytics. Ensuring open access is clearly at odds with the desire to have as little personal data as possible in these large datasets to protect privacy. Establishment of data cooperatives with restricted access may be a solution to this dilemma.

• Korean Journal of Pharmacognosy
• /
• v.50 no.1
• /
• pp.65-71
• /
• 2019

One of the oriental medicine prescriptions, Sagunja-tang consists of four herbal medicines (Ginseng Radix, Poria Sclerotium, Atractylodis Rhizoma Alba, and Glycyrrhiziae Radix et Rhizoma) and has been used as a medicine to enhance tonify the function of spleen and stomach in Korea. In this study, we conducted simultaneous analysis of the 9 marker components, liquiritin apioside, liquiritin, ginsenoside Rg1, liquiritigenin, ginsenoside Rb1, glycyrrhizin, atractylenolide III, atractylenolide II, and atractylenolide I in Sagunja-tang using a liquid chromatography-electrospray ionization-mass spectrometry (LC-ESI-MS/MS). Marker compounds were separated on a Waters Acquity UPLC BEH $C_{18}$ analytical column ($2.1{\times}100mm$, 1.7 mm) and the column was maintained at $45^{\circ}C$. The mobile phase consists of 0.1% (v/v) aqueous formic acid and acetonitrile with gradient condition. The LC-MS analysis was performed using a Waters ACQUITY TQD LC-MS/MS system with multiple reaction monitoring (MRM) method in the positive and negative modes. The calibration curves of the nine marker components showed good linearity with coefficient of determination ${\geq}0.9984$ within tested range. The limits of detection and limits of quantification values were 0.27-2.42 ng/mL and 0.81-7.27 ng/mL, respectively. The concentrations of tested 9 analytes in the lyophilized Sagunja-tang sample using the established LC-ESI-MS/MS MRM method were detected up to 16.593 mg/g. These results can be useful as a basic data for the quality control of an oriental medicine prescriptions.

• The Journal of the Korea institute of electronic communication sciences
• /
• v.13 no.1
• /
• pp.45-52
• /
• 2018

In this paper, we propose smart digital door lock system using heterogeneous communication. This system has efficient function using RF communication and Internet communication, and realizes access and real image of the passengers by combining camera control technology to secure original competitiveness with existing products. It uses the Internet of things and receive images to and from your smart-phone. And senses human behavior. In the simulated results, the image transmission rate of 90 % or more and the time required to transmit 10,000 images have an average transmission speed of 3 seconds. It is expected to secure competitiveness to increase the security of door lock in the future by enabling minimum security and fire monitoring service in real time.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2017.10a
• /
• pp.415-418
• /
• 2017

Recently, the demand for energy efficiency improvement technology through the connection of waste heat energy and SmartGrid has been increasing. Thus, investments for the cultivation of high value crops and produce is increasing through research aimed at synthetic technology in real-time utilization of smart farms and waste heat energy with the concept of using container greenhouses and plant factories. In this aspect, we have carried out research on a practical application technology that will help farmers to increase the economic effectiveness of LED based plant factories in terms of energy efficiency. This can provide opportunities to connect with the large scale automated smart farms in the future. In this study, we focused on the economic effectiveness of crop cultivation using cooling technology in a container greenhouse through waste heat energy. Hereafter, in order to further advance the technology of real-time monitoring/control of the absorption chiller which is used through the container greenhouses and waste heat energy by using IOT, we would like to propose research on new ideas of agricultural technology that can maximize the utility of cooling energy by operating a mobile gateway based on Raspberry PI.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.18 no.12
• /
• pp.2975-2981
• /
• 2014

Micro-magnetic detection system is used to detect small particles in an automatic transmission valve body, which signal noise and time-delay may occurs in process of signal transmitting and filtering. In this paper, we present the design and implement of a micro-magnetic detection system based on wireless sensor networks in conveyer belt. Micro-magnetic detection system consists of five modules which are magnetic sensor detector, signal processing unit, wireless sensor networks, system control unit and system monitoring unit. Our experimental results show that the proposed wireless micro-magnetic detection system improves both accuracy and time delay compared to the wired system; therefore, it may apply for wireless micro-magnetic detection system by analysis of packet reception rate.

• Journal of the Korea Society of Computer and Information
• /
• v.25 no.7
• /
• pp.143-150
• /
• 2020

Recently, many companies are interested in smart factory services. Because various smart factory services are provided by the combination of mobile devices, cloud computing, and IoT services. However, many workers turn away from these systems because most of them are not implemented from the worker's point of view. To solve this, we implemented a development tool that allows field workers to produce their own services so that workers can easily create smart factory services. Manufacturing data is collected in real time from sensors which are connected to manufacturing facilities and stored within smart factory platforms. Implemented development tools can produce services such as monitoring, processing, analysis, and control of manufacturing data in drag-and-drop. The implemented system is effective for small manufacturing companies because of their environment: making various services quickly according to the company's purpose. In addition, it is assumed that this also will help workers' improve operation skills on running smart factories and fostering smart factory capable personnel.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.22 no.4
• /
• pp.587-594
• /
• 2018

The purpose of this study is to propose a power demand volatility evaluation system based on LSTM and not to verify the accuracy of the demand module which is a core module, but to recognize the sudden change of power pattern by using deeplearning in the actual power demand monitoring system. Then we confirm the availability of the module. Also, we tried to provide a visualized report so that the manager can determine the fluctuation of the power usage patten by applying it as a module to the web based system. It is confirmed that the power consumption data shows a certain pattern in the case of government offices and hospitals as a result of implementation of the volatility evaluation system. On the other hand, in areas with relatively low power consumption, such as residential facilities, it was not appropriate to evaluate the volatility.

• Journal of the Korean Chemical Society
• /
• v.63 no.6
• /
• pp.415-419
• /
• 2019

Fipronil is an insecticide that belongs to the N-phenylpytazole and has been used mainly for an insect pest control. However, it is known that acute poisoning of the human body causes various symptoms such as dizziness, muscle weakness, dyspnea, skin irritation, and increased heart rate. Lately, eggs containing fipronil have been distributed and toxic problems are spreading around the world. In this study, we tried to develop analytical methods to evaluate the exposure of fipronil and fipronil sulfone in animal serum samples. The differences according to mobile phase and the results of liquid - liquid extraction and solid phase extraction pretreatment method were compared. Distilled water (A) and acetonitrile (B) were selected for the mobile phase, and the pretreatment method was determined by solid phase extraction. As a result of the method validation, the intra-day / inter-day accuracies were 82.2~114.1% and the precisions were less than 20%. The detection limit was 0.027 ng/ml for fipronil and 0.087 ng/ml for fipronil sulfone. The linearity obtained was satisfying, with a coefficient of determination (r²) higher than 0.99. The concentrations in some animal sera were determined using the methods of analysis for fipronil and fipronil sulfone in animal sera developed in this study. Using the method developed in this study, it could be used as an analytical method for human bio-monitoring of fipronil and fipronil sulfone as well as animal serum.