• Journal of agricultural medicine and community health
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• v.36 no.3
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• pp.157-166
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• 2011

Objectives: Anxiety and depression are known to be associated with hypertension, and blood pressure can vary spontaneously throughout the day. The aim of this study was to evaluate anxiety, depression and 24-hour ambulatory blood pressure (24-h ambulatory BP) in employees at their worksite. Methods: A total of 107 volunteers among 136 employees at a hotel in Gyeongju, Korea were enrolled in this study between December 2009 and March 2010. The Beck Anxiety Inventory (BAI) and the Beck Depression Inventory (BDI) were used to assess anxiety and depression, respectively. Blood pressure was measured using a 24-h ambulatory BP monitoring system. Results: No significant differences in either BAI or BDI scores were found when hypertensive individuals were compared to normotensive individuals. The frequency of diastolic non-dipper was significantly higher in individuals with depressive symptoms compared to those without (p<0.05). Depression was significantly associated with diastolic non-dipper (OR: 6.85, 95% CI: 1.50-30.01). Conclusions: The results of this study indicate that depression should be considered when deciding upon blood pressure control regimens, and appropriate additive psychotherapy may be beneficial in the treatment of hypertensive patients.

• Journal of Plant Biology
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• v.37 no.1
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• pp.77-83
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• 1994

DNA uptake in dry embryos of rice by DNA imbibition was detected by monitoring the expression of chimeric vectors. The selective markers of expression vectors used were ${\beta}-glucuronidase$ ronidase (GUS) and hygromycin phosphotransferase (HPT) genes under the control of CaMV35 S promoter. Frequency of transient expression of the foreign gene was generally 30-50% varying according to the types of vectors and rice cultivars. Dot blot analysis and DNA sequence analysis of inverse polymerase chain reaction products showed that selected rice in hygromycin B (HmB) medium had HPT gene and CaMV35S promoter DNA sequence in genomic DNA of rice. To investigate what ratio of rice having two marker genes simultaneously as rice embryos imbibed the vector DNA having two HPT and GUS gene, transform ants selected in lImB medium were subjected to PCR for GUS gene. It was shown that about 90 percentage of surviving ones in HmB medium had GUS gene.S gene.

• The Journal of the Korea institute of electronic communication sciences
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• v.13 no.5
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• pp.1017-1022
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• 2018

In this paper, a single house fire alarm device, which can solve the problem of fire perception at midnight time and the attenuation of alarm signal due to the wall between rooms based on the wireless communication, was developed. The radio controlled fire alarm device was designed to allow fire to be recognized quickly and accurately by monitoring the temperature and $CO_2$ concentration based on the temperature sensor and gas sensor, by detecting the fire in the house and by transmitting the fire alarm to the individual wireless alarms of other rooms using the wireless transmission/reception module. Using the Arduino as a main control device, three independent fire alarm device prototypes were made, and their usefulness was verified by the correct operations in temperature and gas tests.

• Journal of Astronomy and Space Sciences
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• v.30 no.4
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• pp.335-344
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• 2013

TRiplet Ionospheric Observatory-CubeSat for Ion, Neutron, Electron & MAgnetic fields (TRIO-CINEMA) is a CubeSat with 3.14 kg in weight and 3-U ($10{\times}10{\times}30$ cm) in size, jointly developed by Kyung Hee University and UC Berkeley to measure magnetic fields of near Earth space and detect plasma particles. When a satellite is launched into orbit, it encounters ultra-high vacuum and extreme temperature. To verify the operation and survivability of the satellite in such an extreme space environment, experimental tests are conducted on the ground using thermal vacuum chamber. This paper describes the temperature control device and monitoring system suitable for CubeSat test environment using the thermal vacuum chamber of the School of Space Research, Kyung Hee University. To build the chamber, we use a general purpose thermal analysis program and NX 6.0 TMG program. We carry out thermal vacuum tests on the two flight models developed by Kyung Hee University based on the thermal model of the TRIO-CINEMA satellite. It is expected from this experiment that proper operation of the satellite in the space environment will be achieved.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2006.05a
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• pp.461-465
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• 2006

Recently, the operator modules to control external devices are concerned about automatic management system to process continuously changed signals. They need a efficient data management with high reliability and real time processing. The characteristics of these data are a large volume, a short report interval and asynchronous report time. The typical queries of these systems consist of the current query to search the latest signal value, the snapshot query to search the signal value of a past time, the historical query to search the signal value of a past tine to current. In this paper, we propose the efficient method to manage the above signals by using a file structured database in QNX operating systems. The data communications among the devices are done by Profibus-FMS protocol and the file databases are used for adjusting monitoring frequency and storing signals. The file database adopts a delta version and a periodical back up in due consideration of the resource limit of a small storage and a low computing power in QNX COM(Cabinet Operator Module).

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2009.10a
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• pp.1103-1107
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• 2009

Lately, trend is change to concept that management traffic of ship is magnified gradually to near shore waters from harbor. Therefore, introducing the AtoN AIS technology that install AIS in the ground station, lighthouse, bouy, sea facilities etc.. that is support equipment for safety sailing of ship and safety security of harbor and ship administration. The operation and maintenance of AtoN AIS are required to efficient method. With this actuality, sea advanced nation They has been apply for developing AtoN AIS equipment that is connected equipment of technology standard in IALA. Because of it is expected to depend equipment in income, that is required to domestic technology of the AtoN AIS. This paper is targeted to development that is suitable automation AtoN AIS equipment in environmental peculiarity for construnstrunstrAtoN operating administration center. It has been realization the interface module for control and monitoring system and the communications protocol for information interchange.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.44 no.3
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• pp.86-97
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• 2021

As mechatronic systems have various, complex functions and require high performance, automatic fault detection is necessary for secure operation in manufacturing processes. For conducting automatic and real-time fault detection in modern mechatronic systems, multiple sensor signals are collected by internet of things technologies. Since traditional statistical control charts or machine learning approaches show significant results with unified and solid density models under normal operating states but they have limitations with scattered signal models under normal states, many pattern extraction and matching approaches have been paid attention. Signal discretization-based pattern extraction methods are one of popular signal analyses, which reduce the size of the given datasets as much as possible as well as highlight significant and inherent signal behaviors. Since general pattern extraction methods are usually conducted with a fixed size of time segmentation, they can easily cut off significant behaviors, and consequently the performance of the extracted fault patterns will be reduced. In this regard, adjustable time segmentation is proposed to extract much meaningful fault patterns in multiple sensor signals. By considering inflection points of signals, we determine the optimal cut-points of time segments in each sensor signal. In addition, to clarify the inflection points, we apply Savitzky-golay filter to the original datasets. To validate and verify the performance of the proposed segmentation, the dataset collected from an aircraft engine (provided by NASA prognostics center) is used to fault pattern extraction. As a result, the proposed adjustable time segmentation shows better performance in fault pattern extraction.

• Journal of The Korean Society of Agricultural Engineers
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• v.61 no.4
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• pp.1-10
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• 2019

Unmanned aerial vehicle(UAV) can acquire images with lower cost than conventional manned aircraft and commercial satellites. It has the advantage of acquiring high-resolution aerial images covering in the field area more than 50 ha. The purposes of this study is to develop the rice grain yield distribution using UAV. In order to develop a technology for estimating the rice yield using UAV images, time series UAV aerial images were taken at the paddy fields and the data were compared with the rice yield of the harvesting area for two rice varieties(Singdongjin, Dongjinchal). Correlations between the vegetation indices and rice yield were ranged from 0.8 to 0.95 in booting period. Accordingly, rice yield was estimated using UAV-derived vegetation indices($R^2=0.70$ in Sindongjin, $R^2=0.92$ in Donjinchal). It means that the rice yield estimation using UAV imagery can provide less cost and higher accuracy than other methods using combine with yield monitoring system and satellite imagery. In the future, it will be necessary to study a variety of information convergence and integration systems such as image, weather, and soil for efficient use of these information, along with research on preparing management practice work standards such as pest control and nutrient use based on UAV image information.

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

• Journal of the Korean GEO-environmental Society
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• v.19 no.12
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• pp.65-72
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• 2018

The uses of unmanned aerial vehicles (UAV) have been expanding in agriculture surveys, obtaining real time updates of dangerous facilities where human access is difficult, disaster monitoring, and 3D modeling. In reality, there is an upsurge in the application of UAVs in fields like, construction, infrastructure, imaging, surveying, surveillance and transportation. Especially, when the slope failure such as landslide occurs, the uses of UAVs are increasing. Since, the UAVs can fly in three dimensions, they are able to obtain spatial data in places where human access is nearly impossible. Despite of these advantages, however, the uses of UAVs are still limited during slope failure. In order to overcome these limitations, this study computes the soil volume change during slope failure through the computation technique using photogrammetric information obtained from UAV system. Through this study, it was found that photogrammetric information from UAV can be used to acquire information on amount of earthworks required for repair works when slope collapse occurs in mountainous areas, where human access in difficult.