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Estimation of Significant Wave Heights from X-Band Radar Using Artificial Neural Network (인공신경망을 이용한 X-Band 레이다 유의파고 추정)

  • Park, Jaeseong;Ahn, Kyungmo;Oh, Chanyeong;Chang, Yeon S.
    • Journal of Korean Society of Coastal and Ocean Engineers
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    • v.32 no.6
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    • pp.561-568
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    • 2020
  • Wave measurements using X-band radar have many advantages compared to other wave gauges including wave-rider buoy, P-u-v gauge and Acoustic Doppler Current Profiler (ADCP), etc.. For example, radar system has no risk of loss/damage in bad weather conditions, low maintenance cost, and provides spatial distribution of waves from deep to shallow water. This paper presents new methods for estimating significant wave heights of X-band marine radar images using Artificial Neural Network (ANN). We compared the time series of estimated significant wave heights (Hs) using various estimation methods, such as signal-to-noise ratio (${\sqrt{SNR}}$), both and ${\sqrt{SNR}}$ the peak period (TP), and ANN with 3 parameters (${\sqrt{SNR}}$, TP, and Rval > k). The estimated significant wave heights of the X-band images were compared with wave measurement using ADCP(AWC: Acoustic Wave and Current Profiler) at Hujeong Beach, Uljin, Korea. Estimation of Hs using ANN with 3 parameters (${\sqrt{SNR}}$, TP, and Rval > k) yields best result.

Evaluation of Compressive Strength and Freeze-thaw Resistance Properties of Concrete using Superabsorbent Polymer (고 흡수성 폴리머를 혼입한 콘크리트의 압축 강도 및 동결융해 저항성 평가)

  • Kim, Il-Sun;Choi, So-Yeong;Yang, Eun-Ik
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.24 no.5
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    • pp.86-94
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    • 2020
  • When the Superabsorbent Polymer (SAP) is added into concrete, the slump decreases rapidly, deteriorating the workability, the internal curing effect can be obtained through the water absorption and discharge process, and the internal voids of the concrete are increased. In this study, the effects of internal curing and voids were evaluated by evaluating the compressive strength, freeze-thaw resistance, and chloride penetration resistance of SAP-adding concrete that secured workability using a water reducing agent. Also, the internal curing effect of SAP was evaluated by dividing the curing conditions of concrete into water curing and sealed curing. From the result, as the SAP adding ratio increased, the amount of water reducing agent increased, and as for the compressive strength, the SAP adding ratio of 1.5% showed the greatest compressive strength. In particular, in the case of sealed curing showed higher compressive strength than the water curing. It is considered that the compressive strength increased due to the reduction of the effective water-cement ratio and the internal curing effect. Adding 1.0~1.5% of SAP improved the freeze-thaw resistance similar to the case of adding the AE agent, and the addition of more than 1.0% of SAP improved the chloride penetration resistance. The optimal adding ratio of SAP is 1.5%, and the adding ratio of 2.0% or more adversely affects the compressive strength and freeze-thaw resistance.

A Study on the Basic Physical Properties of Water-Soluble Rubber Asphalt-based Coating Waterproofing for Exterior Application (수용성 고무 아스팔트계 도막방수재의 실외 적용을 위한 기본 물성 연구)

  • Kang, Hyo-Jin;Youn, Sung-Hwan;Oh, Sang-Keun
    • Journal of the Korean Recycled Construction Resources Institute
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    • v.8 no.4
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    • pp.553-561
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    • 2020
  • Water-soluble rubber asphalt-based waterproofing material, which is one of the waterproofing materials for building structures, is mainly used indoors (toilet, kitchen, balcony, etc.). In general, asphalt-based materials are used for non-exposed installation, rather than as exposed type as they do not deviate from their usual basic black pigmentation, and water-soluble rubber asphalt-based coating waterproofing materials are basically limited to indoors because of their low physical properties. Accordingly, in order to improve the tensile and elongation properties, a silane coupling agent, an inorganic filler, and a processor oil w ere added to improve the physical properties, and accordingly, the basic physical properties of the outdoor coating waterproofing material quality standard were analyzed. As a result, the water-soluble rubber asphalt coating waterproofing material compared with the exposure quality standard showed a result that exceeded the basic physical property quality standard of silicone rubber in all items under test evaluation, but the tensile strength and tear strength of the first class of urethane rubber were chloroprene. It was found that the performance compared to the quality standards of rubber-based tear strength was about 34.2% to about 40.8%.

Correction of the Ground Subsidence Risk Ratings during Open Cut Excavation (개착식 굴착공사 중 지반함몰 위험등급 분류시트의 등급 보정에 관한 연구)

  • Shin, Sang-Sik;Kim, Hak Joon
    • The Journal of Engineering Geology
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    • v.31 no.2
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    • pp.135-148
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    • 2021
  • Ground subsidence risk ratings obtained from the site investigation during pre-excavation stages could be changed depending on the parameters revealed during construction activities. A method of correcting the pre-excavation ground subsidence risk ratings based on the site conditions observed in the field is suggested in this study. The elevation of groundwater table during the excavation may be different from the predicted value depending on the application of waterproofing methods and construction conditions. The drastic drawdown of groundwater table during the excavation could cause ground subsidence due to soil volume decrease related to consolidation or compression of the ground, whereas the rising of groundwater table caused by the intense rainfall may result in a high potential for ground subsidence due to heaving or boiling of the excavation bottom. Excessive displacements of retaining walls or ground settlements may cause ground subsidence, which also results in a high risk of ground subsidence caused by the destruction of buried pipelines. Reevaluation of ground subsidence risk ratings is suggested considering the fluctuation of groundwater table, condition of groundwater leakage, measured ground displacements, and soil types. Finally, the ground subsidence risk rating system is improved for better evaluation by using 12 factors in 5 categories.

Analysis of Apple Colors and Sugar Contents Using Linear Regression (선형회귀를 이용한 사과의 색상과 당도 분석)

  • Kim, Seon-Jong
    • The Journal of the Convergence on Culture Technology
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    • v.8 no.1
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    • pp.201-207
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    • 2022
  • In this paper, the relationship between RGB, HSV, La*b* colors and sugar content was analyzed using linear regression on apples harvested in the same region. First, as a result of examining the correlation coefficient with sugar content according to each color level, it was found that the (+) region having a positive coefficient and a (-) region having a negative coefficient were separated according to the color level. Also, the correlation coefficient between color and sugar content, represented by the average value, was 0.342 in the La*b* color space, which was higher than the coefficient in the RGB and hsv space. That is, this means that the sugar content is related to the color in the La*b* space. Also, in the complex color composed of regions with high sugar content, it was found to be R2=0.3627, indicating that it is related to sugar content. In all nine color spaces, it was found to be R2=0.3668. In this case, it was found that the coefficients of v and b* had an effect on the sugar content. Due to this, it was possible to confirm the validity of the empirical prediction that the higher the b* representing yellow, the higher the sugar content.

Design and Fabrication of Dual Linear Polarization Antenna for mmWave Application using FR-4 Substrate

  • Choi, Tea-Il;Yoon, Joong-Han
    • Journal of the Korea Society of Computer and Information
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    • v.27 no.3
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    • pp.71-77
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    • 2022
  • In this paper, we propose 1×2 array antenna with dual linear polarization characteristics for mmWave band operation. The proposed antenna is designed two microstirp feeding structure and FR-4 substrate, which is thickness 0.4 mm, and the dielectric constant is 4.3. The size of 1×2 array antenna is 2.33 mm×2.33 mm, and total size of array antenna is 13.0 mm×6.90 mm. From the fabrication and measurement results, bandwidths of 1.13 GHz (28.52~29.65 GHz) for port 1 and 1.08 GHz (28.45~29.53 GHz) for port 2 were obtained based on the impedance bandwidth. Cross polarization ratios are obtained from 7.68 dBi to 16.90 dBi in case of vertical polarization, and from 7.46 dBi to 15.97 dBi in case of horizontal polarization for input port 1, respectively. Also, cross polarization ratios are obtained from 8.59 dBi to 13.72 dBi in case of vertical polarization and from 9.03 dB to 14.0 dB in case of horizontal polarization for input port 2, respectively.

Effect of All Sky Image Correction on Observations in Automatic Cloud Observation (자동 운량 관측에서 전천 영상 보정이 관측치에 미치는 효과)

  • Yun, Han-Kyung
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.15 no.2
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    • pp.103-108
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    • 2022
  • Various studies have been conducted on cloud observation using all-sky images acquired with a wide-angle camera system since the early 21st century, but it is judged that an automatic observation system that can completely replace the eye observation has not been obtained. In this study, to verify the quantification of cloud observation, which is the final step of the algorithm proposed to automate the observation, the cloud distribution of the all-sky image and the corrected image were compared and analyzed. The reason is that clouds are formed at a certain height depending on the type, but like the retina image, the center of the lens is enlarged and the edges are reduced, but the effect of human learning ability and spatial awareness on cloud observation is unknown. As a result of this study, the average cloud observation error of the all-sky image and the corrected image was 1.23%. Therefore, when compared with the eye observation in the decile, the error due to correction is 1.23% of the observed amount, which is very less than the allowable error of the eye observation, and it does not include human error, so it is possible to collect accurately quantified data. Since the change in cloudiness due to the correction is insignificant, it was confirmed that accurate observations can be obtained even by omitting the unnecessary correction step and observing the cloudiness in the pre-correction image.

Study on the Proper Separation Distance from Intersection to Bus Stop for Reducing Traffic Accidents (교통사고 감소를 위한 교차로에서 버스정류장간 적정 이격거리 산정 연구)

  • Eom, Daelyoung;Chae, HeeChul;Park, Wonil;Yun, llsoo
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.21 no.2
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    • pp.1-16
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    • 2022
  • The location of the bus stop on urban roads should be installed at a point where it is convenient for users and the impact of bus stops on the traffic flow is minimized. However, the location of the bus stops is determined indiscriminately due to the lack of related research. Therefore, this study developed a traffic accident prediction model and calculated the proper separation distance for the bus stops through an optimization technique. The result of the study indicates that the bus stop can be installed in the form of a mid-block approximately 87 to 166 m away from the intersection in the road section. This result is valid if the number of main road lanes in the road section is 2 to 4 with a level of traffic from 1,000 to 3,000 v/h. In the section with 5 to 6 lanes, it is desirable to install a bus stop close to the intersection by about 42 to 97 m.

Acoustic Property and Clinical Mechanism of the Singing Bowl Sound (싱잉볼 소리의 특성 및 임상적인 기전)

  • Kim, Seong Chan;Hong, Geum Na;Choi, Min Joo
    • Journal of Naturopathy
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    • v.11 no.2
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    • pp.143-151
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    • 2022
  • Background: The singing bowl is a bowl-shaped percussion instrument and is used in meditation and healing programs, but the mechanism of its clinical effects is unclear. Purpose: In this paper, we reviewed the peculiar acoustic property of the singing bowl sound and discussed on physical mechanisms of the clinical effects of the singing bowl sound. Methods: We studied the literature by reviewing it. Results: There are multiple pitches at adjacent frequencies in the singing bowl sound, and they give rise to the beat phenomenon. This results in a solid persisting beating felt in the singing bowl sound. Furthermore, the beat that depends on singing bowls and playing methods includes a rhythm often similar to the frequency band of brain waves (theta wave) observed in meditative states and induces a synchronization phenomenon in which the rhythm activates the brain waves in meditative states. Furthermore, we are to infer that the clinical effect of the singing bowl sound is closely associated with the synchronization of brain waves to the beat rhythm of the singing bowl sound. Conclusion: To clearly understand the clinical mechanism of the singing bowl sound, we suggest further systematic studies on the psychological and physiological responses to the beats of the singing bowl sound.

Grade Analysis and Two-Stage Evaluation of Beef Carcass Image Using Deep Learning (딥러닝을 이용한 소도체 영상의 등급 분석 및 단계별 평가)

  • Kim, Kyung-Nam;Kim, Seon-Jong
    • The Journal of the Convergence on Culture Technology
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    • v.8 no.2
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    • pp.385-391
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    • 2022
  • Quality evaluation of beef carcasses is an important issue in the livestock industry. Recently, through the AI monitor system based on artificial intelligence, the quality manager can receive help in making accurate decisions based on the analysis of beef carcass images or result information. This artificial intelligence dataset is an important factor in judging performance. Existing datasets may have different surface orientation or resolution. In this paper, we proposed a two-stage classification model that can efficiently manage the grades of beef carcass image using deep learning. And to overcome the problem of the various conditions of the image, a new dataset of 1,300 images was constructed. The recognition rate of deep network for 5-grade classification using the new dataset was 72.5%. Two-stage evaluation is a method to increase reliability by taking advantage of the large difference between grades 1++, 1+, and grades 1 and 2 and 3. With two experiments using the proposed two stage model, the recognition rates of 73.7% and 77.2% were obtained. As this, The proposed method will be an efficient method if we have a dataset with 100% recognition rate in the first stage.