• Journal of the Korean Institute of Landscape Architecture
• /
• v.29 no.1
• /
• pp.152-160
• /
• 2001

This study is conducted to evaluate the effects of containerized landscape tree production methods on post-transplant stress. Two types of container such as plastic pot(pot), fabric growing bag(bag) were adopted to restrict tree roots. Each types of containers was divided into seven sub-types. One traditional production method was included as comparison. Two landscape woody plants species (Magnolia denudata, Albizzia julibrissin) were implanted in the 7 sub-types of container. After one or two growing season in the container, each types of container trees was transplanted. Half of the trees were transplanted in the mild spring season, and another half of trees were transplanted in the improper summer season. The data were collected on the crown wilting ratio and trunk die-back ratio. The result of the analysis based on these data were as follows; 1) The container production methods were lower than the traditional production methods by 3 times in the average wilting ratio of summer season's transplanting point. 2) Post-transplant stress was more successfully mitigated, in case the "pot" type as was the "bag" types of container. 3) The effective and economic way of mitigating post-transplant stress by container production methods was selecting container plants of vigorous and deep root systems. 4) The "pot" type of container was to restrict tree roots more successfully, But, winter chilling and low temperature attacked the "pot" type tree's twigs and suckers. These results indicated that "pot" grown container plants should managed carefully during the winter after transplanting. Based upon the results of this study, a subsequent research on the development of container material, growth type of the container trees, and other maintaining method will be required.es, and other maintaining method will be required.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• v.9 no.2
• /
• pp.93-97
• /
• 2005

Sea operation monitoring system is a system for the automatic ship operation that is used on the variety sea operations such as laying optical cables on the sea between the countries, laying cables on the seabed for a remote island, laying pipelines for the natural gas, and so forth. This system processes data which optained through setting up environment and input from several sensors, and display GPS information with ENC data. And this system processes not only data of root file about sea operation, but also realtime information from PDA of client wirelessly connected with AP on wireless LAN, In addition, this system can improve efficiency of the operation as a result of enabling free movement within valid range. This paper design and Implementation Monitoring system from above appropriate to the embedded system, and improve competitive power of ship through prevention of a ship accident, to keep minimizing operation loads and support both the automatic ship operation and the safety voyage.

• Explosives and Blasting
• /
• v.20 no.2
• /
• pp.21-31
• /
• 2002

We did bench blasting upon the natural rock which it's uniaxial compressive strength was about $1,420~1,476kgf/\textrm{cm}^2$. This is the results we inferred after measuring, analyzing the ground vibration velocity of the front and back direction from the free face of the bench blasting. We have to induce the square and cube root scaled equation and the general equation to guarantee confidence upon the data when analyzing the measurement data of the test blasting. The variable distance is in reverse proportion to the permitted ground vibration velocity. The shorter is the exploding point to a protection structure, the bigger is the reflection that the direction of the free face experts the ground vibration velocity, The ground vibration velocity front of the free face tends become reduced about 38~46% compare with back of the free face in the range that the permitted ground vibration velocity is 2.0~5.0mm/sec. In case of 2.0mm/sec, when a protection structure is within about 95m, the max. allowable charge weight per delay on positing front of the free face can be more used about 2.61 times than that on positing back of the free face, in case of 3.0mm/sec within about 78m more about 2.38 times, in case of 5.0mm/sec within 60m more about 2.10 times. In case of 2.0~5.0mm/sec when a protection structure is within about 200m front from the free face, the max. allowable charge weight per delay can become about 1.52 times than the case on back to the free face.

• Journal of the Korea institute for structural maintenance and inspection
• /
• v.20 no.4
• /
• pp.1-8
• /
• 2016

Recently, buildings tend to be large size, complex shape and functional. As the size of buildings is becoming massive, the need for structural health monitoring(SHM) technique is ever-increasing. Various SHM techniques have been studied for buildings which have different dynamic characteristics and are influenced by various external loads. Generally, the visual inspection and non-destructive test for an accessible point of structures are performed by experts. But nowadays, the system is required which is online measurement and detect risk elements automatically without blind spots on structures. In this study, in order to consider the response of non-linear structures, proposed a signal feature extraction and the adaptive threshold setting algorithm utilized to determine the abnormal behavior by using statistical methods such as control chart, root mean square deviation, generalized extremely distribution. And the performance of that was validated by using the acceleration response of structures during earthquakes measuring system of forced vibration tests and actual operation.

• Journal of Photoscience
• /
• v.12 no.1
• /
• pp.1-9
• /
• 2005

The ubiquitin E3 ligase COP1 (Constitutive Photomorphogenesis 1) is a protein repressor of photomorphogenesis in Arabidopsisplants, and it found in various organisms, including animals. The COP1 protein regulates the stability of many of the light-signaling components that are involved in photomorphogenesis and in the developmental processes. To study the effect of COP1 on flowering in a short day plant, we have cloned a full-length of PnCOP1 (Pharbitis nil COP1) cDNA from Pharbitis nil Choisy cv. Violet, and we examined its transcript levels under various conditions. A full-length PnCOP1 cDNA consists of 2,280 bp nucleotidesthat contain 47 bp of 5'-UTR, 232 bp of 3'-UTR including the poly (A) tail, and 1,998 bp of the coding sequence. The deduced amino acid sequence contains 666 amino acids, giving it a theoretical molecular weight of 75 kD and a isolectric point of 6.2. The PnCOP1 contains three distinct domains, an N-terminal $Zn^2+$-binding RING-finger domain, a coiled-coil structure, and WD40 repeats at the C-terminal, implying that the protein plays a role in protein-protein interactions. The PnCOP1 transcript was detected in the cotyledon, hypocotyls and leaves, but not in root. The levels of the PnCOP1 transcript were reduced in leaves that were a farther distance away from the cotyledons. The expression level of the PnCOP1 gene was inhibited by light, while the expression was increased in the dark. During the floral inductive 16 hour-dark period for Pharbitis nil, the expression was increased and it reached its maximum at the 12th hour of the dark period. The levels of PnCOP1 mRNA were dramatically reduced upon light illumination. These results suggest that PnCOP1 may play an important function in the floral induction of Pharbitis nil.

• Journal of Yeungnam Medical Science
• /
• v.26 no.1
• /
• pp.74-77
• /
• 2009

There are debates about whether peripherally induced movement disorders exist. We report a case of upper limb tremor induced by peripheral nerve injury. A 20-year-old male patient presented with pain and tremor of the left upper extremity, 2 days after a car accident. Magnetic resonance images of the brain and cervical spine were normal. His past medical history was unremarkable and there were no family members with symptoms of movement disorders. He suffered from an aggravating tremor for about 10 minutes, four to six times a day. We treated the patient with medication, epidural infusion, cervical nerve root block and trigger point injection of the trapezius muscle. The pain subsided 50% and the incidence of tremor attacks was reduced to once or twice a day. The role of peripheral trauma in the genesis of movement disorders has not been generally accepted. It is unclear whether peripheral trauma can induce dystonia and other movement disorders. It has been proposed that peripheral trauma can alter sensory input and induce cortical and subcortical reorganization that generates a movement disorder. Some studies provide evidence for central reorganization following peripheral injury.

• Journal of agriculture & life science
• /
• v.46 no.1
• /
• pp.17-27
• /
• 2012

The purpose of this study is to analyze the trail deterioration condition and to obtain the information for the desirable maintenance and restoration of trail in national parks. The results obtained from this study were summarized as follows; The physical characteristics of trail were surveyed at the total 778 point for 204.5 km in length. As a result, the average degree of trail was $14.6^{\circ}$, average trail width was 1.5m and average bared trail width was 1.1 m. Major deterioration types of trail were trail deepen (37%), root exposed, widen, diverged, rock exposed and slope erosion in order of frequency. Deterioration class of trail were that non-deterioration was 165.34 km (80.9%), heavy class was 9.08 km, middle class was 12.69 km and light class was 17.39 km and the deterioration rate was 19.1%.

• Journal of The Korean Society of Agricultural Engineers
• /
• v.61 no.6
• /
• pp.123-132
• /
• 2019

This study is to estimate the spatial soil moisture using Terra MODIS (Moderate Resolution Imaging Spectroradiometer) satellite data and machine learning technique. Using the 3 years (2015~2017) data of MODIS 16 days composite NDVI (Normalized Difference Vegetation Index) and daily Land Surface Temperature (LST), ground measured precipitation and sunshine hour of KMA (Korea Meteorological Administration), the RDA (Rural Development Administration) 10 cm~30 cm average TDR (Time Domain Reflectometry) measured soil moisture at 78 locations was tested. For daily analysis, the missing values of MODIS LST by clouds were interpolated by conditional merging method using KMA surface temperature observation data, and the 16 days NDVI was linearly interpolated to 1 day interval. By applying the RNN-LSTM (Recurrent Neural Network-Long Short Term Memory) artificial neural network model, 70% of the total period was trained and the rest 30% period was verified. The results showed that the coefficient of determination ($R^2$), Root Mean Square Error (RMSE), and Nash-Sutcliffe Efficiency were 0.78, 2.76%, and 0.75 respectively. In average, the clay soil moisture was estimated well comparing with the other soil types of silt, loam, and sand. This is because the clay has the intrinsic physical property for having narrow range of soil moisture variation between field capacity and wilting point.

• Wind and Structures
• /
• v.23 no.3
• /
• pp.231-251
• /
• 2016

This paper presents the experimental results of the wind tunnel tests for three symmetric, rectangular, tall building models on a typical open terrain considering the torsional motion-induced vibrations. The time histories of the wind pressure on these models under different reduced wind speeds and torsional amplitudes are obtained through the multiple point synchronous scanning pressure technique. Thereafter, the characteristics of both the Root Mean Square (RMS) coefficients and the spectra of the base shear/torque in the along-wind, across-wind, and torsional directions, respectively, are discussed. The results show that the RMS coefficients of the base shear/torque vary in the three directions with both the reduced wind speeds and the torsional vibration amplitudes. The variation of the RMS coefficients in the along-wind direction results mainly from the change of the aerodynamic forces, but sometimes from aeroelastic effects induced by torsional vibration. However, the variations of the RMS coefficients in the across-wind and torsional directions are caused by more equal weights of both the aerodynamic forces and the aeroelastic effects. As such, for the typical tall buildings, the modification of the aerodynamic forces in the along-wind, across-wind, and torsional directions, respectively, and the aeroelastic effects in the across-wind and torsional directions should be considered. It is identified that the torsional vibration amplitudes and the reduced wind speeds are two significant parameters for the aerodynamic forces on the structures in the three directions.

• Journal of Biomedical Engineering Research
• /
• v.40 no.2
• /
• pp.62-67
• /
• 2019

The purpose of this study was to evaluate the performance of deep neural network model in order to determine whether there is a risk factor for coronary artery disease based on the cardiac variation parameter. The study used unidentifiable 297 data to evaluate the performance of the model. Input data consists of heart rate parameters, which are SDNN (standard deviation of the N-N intervals), PSI (physical stress index), TP (total power), VLF (very low frequency), LF (low frequency), HF (high frequency), RMSSD (root mean square of successive difference) APEN (approximate entropy) and SRD (successive R-R interval difference), the age group and sex. Output data are divided into normal and patient groups, and the patient group consists of those diagnosed with diabetes, high blood pressure, and hyperlipidemia among the various risk factors that can cause coronary artery disease. Based on this, a binary classification model was applied using Deep Neural Network of deep learning techniques to classify normal and patient groups efficiently. To evaluate the effectiveness of the model used in this study, Kernel SVM (support vector machine), one of the classification models in machine learning, was compared and evaluated using same data. The results showed that the accuracy of the proposed deep neural network was train set 91.79% and test set 85.56% and the specificity was 87.04% and the sensitivity was 83.33% from the point of diagnosis. These results suggest that deep learning is more efficient when classifying these medical data because the train set accuracy in the deep neural network was 7.73% higher than the comparative model Kernel SVM.