• Title/Summary/Keyword: 인공조도

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A Study on the Feasibility Analysis of AI CARE Design Graphic Planning through Modern Design Trend Analysis -Focusing on AI CARE BED part-by-part analysis and design proposal- (현대 디자인 트랜드 분석 통한 AI CARE 디자인 그래픽 기획에 관한 타당성 분석에 관한 연구 -AI CARE BED 파트별 분석과 디자인 제안을 중심으로-)

  • Cho, Hyun Kyung
    • The Journal of the Convergence on Culture Technology
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    • v.7 no.3
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    • pp.599-604
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    • 2021
  • In an era where AI artificial intelligence converges into each field, design of AI-CARE function and UI UX design are in the spotlight. The application of shape design and the trend of color are important for visual effects to match new features. In this paper, we would like to use this to present an example of the arrangement and application of form trends and to present design directions. In the introduction, the latest design environmental factors were analyzed and studied in the direction of the new proposal. In the text, the design direction and consideration of the design in the planning were studied by separating the functional design form, and the direction of the design work was presented. At the stage of form and color, a plan was proposed to match the flow of minimalism, universal design, and affordance design. A study method based on case practice is a consideration of how to consider content on shapes and colors specialized in the partial design work, and proposed to enable graphic production of new areas of UI UX in content images to be feasible. Through this study, the design direction and planning of the derivative method of shape and color was reached by suggesting design directionality and validity for each AI CARE bed PART.

Indoor Temperature Analysis by Point According to Facility Operation of IoT-based Vertical Smart Farm (IoT 기반 수직형 스마트 팜의 설비운영에 따른 지점별 실내온도분석)

  • Kim, Handon;Jung, Mincheol;Oh, Donggeun;Cho, Hyunsang;Choi, Seun;Jang, Hyounseung;Kim, Jimin
    • Korean Journal of Construction Engineering and Management
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    • v.23 no.1
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    • pp.98-105
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    • 2022
  • It is essential for vertical smart farms that artificially grow crops in an enclosed space to properly utilize air environment facilities to create an appropriate growth environment. However, domestic vertical smart farm companies are creating a growing environment by relying on empirical data rather than systematic methods. Using IoT to create a growing environment based on systematic and precise monitoring can increase crop production yield and maximize profitability. This study aims to construct a monitoring system using IoT and to analyze the cause by demonstrating the imbalance of temperature environment, which is a significant factor in crop cultivation. 1) The horizontal temperature distribution of the multi-layer shelf was measured with different operating methods of LED and air conditioner. As a result, there was a temperature difference of "up to 1.7℃" between the sensors. 2) As a result of measuring the vertical temperature distribution, the temperature difference was "up to 6.3℃". In order to reduce this temperature gap, a strategy for proper arrangement and operation of air conditioning equipment is required.

A Non-annotated Recurrent Neural Network Ensemble-based Model for Near-real Time Detection of Erroneous Sea Level Anomaly in Coastal Tide Gauge Observation (비주석 재귀신경망 앙상블 모델을 기반으로 한 조위관측소 해수위의 준실시간 이상값 탐지)

  • LEE, EUN-JOO;KIM, YOUNG-TAEG;KIM, SONG-HAK;JU, HO-JEONG;PARK, JAE-HUN
    • The Sea:JOURNAL OF THE KOREAN SOCIETY OF OCEANOGRAPHY
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    • v.26 no.4
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    • pp.307-326
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    • 2021
  • Real-time sea level observations from tide gauges include missing and erroneous values. Classification as abnormal values can be done for the latter by the quality control procedure. Although the 3𝜎 (three standard deviations) rule has been applied in general to eliminate them, it is difficult to apply it to the sea-level data where extreme values can exist due to weather events, etc., or where erroneous values can exist even within the 3𝜎 range. An artificial intelligence model set designed in this study consists of non-annotated recurrent neural networks and ensemble techniques that do not require pre-labeling of the abnormal values. The developed model can identify an erroneous value less than 20 minutes of tide gauge recording an abnormal sea level. The validated model well separates normal and abnormal values during normal times and weather events. It was also confirmed that abnormal values can be detected even in the period of years when the sea level data have not been used for training. The artificial neural network algorithm utilized in this study is not limited to the coastal sea level, and hence it can be extended to the detection model of erroneous values in various oceanic and atmospheric data.

Full-scale Shaking Table Test of Uninterruptible Power Supply Installed in 2-stories Steel Structure (2층 철골 구조물에 설치된 무정전전원장치의 실규모 진동대 실험연구)

  • Lee, Ji-Eon;Park, Won-Il;Choi, Kyoung-Kyu;Oh, Sang-Hoon;Park, Hoon-Yang
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.26 no.3
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    • pp.29-38
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    • 2022
  • In this study, the shaking table tests were carried out on six types of non-structural elements installed on a full-scale two-story steel structure. The shaking table tests were performed for non-structural elements with and without seismic isolators. In this study, the seismic performance of Uninterruptible Power Supply (UPS) specimens was tested and investigated. Non-seismic details were composed of conventional channel section steel beams, and the seismic isolators were composed of high damping rubber bearing (HDRB) and wire isolator. The input acceleration time histories were artificially generated to satisfy the requirements proposed by the ICC-ES AC156 code. Based on the test results, the damage and dynamic characteristics of the UPS with the seismic isolator were investigated in terms of the natural frequency, damping ratio, acceleration time history responses, dynamic amplification factors, and relative displacements. The results from the shaking table showed that the dynamic characteristics of the UPS including the acceleration response were significantly improved when using the seismic isolator.

Effects of Mechanized Seeding on Growth and Yield of Sorghum -Sudangrass Hybrid (기계화 파종이 청예용 수수-수단그라스 교잡종의 생육 및 수량에 미치는 영향)

  • Kim, Young-Doo;Suh, Sug-Kee;Chae, Jae-Suk;Park, Moon-Soo;Chae, Kyu-In
    • KOREAN JOURNAL OF CROP SCIENCE
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    • v.36 no.4
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    • pp.360-365
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    • 1991
  • This experiment was conducted to determine mechanized seeding ability of barley drill seeder on the seeding time, growth and yield of sorghum-sudangrass hybrid. The time required for machine drill seeding was 42 minutes per l0a which was one-thirteenth of the time required by the manual drill seeding, and percentage of seedling establishment by machine drill seeding was better than that of manual drill seeding. Leaf area index in seeding rate with 30 x 5cm and 40 x 5cm of machine drill seeding was higher than those of manual drill seeding, the leaf distribution was better and the total nonstructural carbohydrate content of stubble after cutting was short increased than that of manual drill seeding, Content of feed composition was not significantly different between manual and machine drill seeding. At seeding rate of 40 x 5cm of machine seeding. dry matter and TDN yield were increased to 29% and 30% respectiyely, than those of manual drill seeding.

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Slowing of the Epigenetic Clock in Schizophrenia (조현병에서 나타나는 후성유전학적 나이 가속도 감속)

  • Yeon-Oh Jeong;Jinyoung Kim;Karthikeyan A Vijayakumar;Gwang-Won Cho
    • Journal of Life Science
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    • v.33 no.9
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    • pp.730-735
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    • 2023
  • In the past decade, numerous studies have been carried out to quantify aging with the help of artificial intelligence. Using DNA methylation data, various models have been developed; these are commonly called epigenetic clocks. Epigenetic age acceleration is usually associated with disease conditions. Schizophrenia is a mental illness associated with severe mental and physical stress. This disease leads to high mortality and morbidity rates in young people compared with other psychological disorders. In the past, the research community considered this disease to be related to the accelerated aging hypothesis. In the current study, we wanted to investigate the epigenetic age acceleration changes in schizophrenia patients to obtain epigenetic insights into the disease. To measure the epigenetic age acceleration, we used two different DNA methylation clock models, namely, Horvath clock and Epi clock, as these are pan-tissue models. We utilized 450k array data compatible with both clocks. We found a slower epigenetic acceleration in the patients' samples when we used the Epi clock. We further analyzed the differentially methylated CpG sites between the control and cases and performed pathway enrichment analysis. We found that most of the CpGs are involved in neuronal processes.

Development and Validation of AI Image Segmentation Model for CT Image-Based Sarcopenia Diagnosis (CT 영상 기반 근감소증 진단을 위한 AI 영상분할 모델 개발 및 검증)

  • Lee Chung-Sub;Lim Dong-Wook;Noh Si-Hyeong;Kim Tae-Hoon;Ko Yousun;Kim Kyung Won;Jeong Chang-Won
    • KIPS Transactions on Computer and Communication Systems
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    • v.12 no.3
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    • pp.119-126
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    • 2023
  • Sarcopenia is not well known enough to be classified as a disease in 2021 in Korea, but it is recognized as a social problem in developed countries that have entered an aging society. The diagnosis of sarcopenia follows the international standard guidelines presented by the European Working Group for Sarcopenia in Older People (EWGSOP) and the d Asian Working Group for Sarcopenia (AWGS). Recently, it is recommended to evaluate muscle function by using physical performance evaluation, walking speed measurement, and standing test in addition to absolute muscle mass as a diagnostic method. As a representative method for measuring muscle mass, the body composition analysis method using DEXA has been formally implemented in clinical practice. In addition, various studies for measuring muscle mass using abdominal images of MRI or CT are being actively conducted. In this paper, we develop an AI image segmentation model based on abdominal images of CT with a relatively short imaging time for the diagnosis of sarcopenia and describe the multicenter validation. We developed an artificial intelligence model using U-Net that can automatically segment muscle, subcutaneous fat, and visceral fat by selecting the L3 region from the CT image. Also, to evaluate the performance of the model, internal verification was performed by calculating the intersection over union (IOU) of the partitioned area, and the results of external verification using data from other hospitals are shown. Based on the verification results, we tried to review and supplement the problems and solutions.

Climate change impact analysis on water supply reliability and flood risk using combined rainfall-runoff and reservoir operation modeling: Hapcheon-Dam catchment case (강우-유출 및 저수지 운영 연계 모의를 통한 기후변화의 이수안전도 및 홍수위험도 영향 분석: 합천댐 유역 사례)

  • Noh, Seong Jin;Lee, Garim;Kim, Bomi;Jo, Jihyeon;Woo, Dong Kook
    • Journal of Korea Water Resources Association
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    • v.56 no.11
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    • pp.765-774
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    • 2023
  • Due to climatechange, precipitation variability has increased, leading to more frequentoccurrences of droughts and floods. To establish measures for managing waterresources in response to the increasing uncertainties of climate conditions, itis necessary to understand the variability of natural river discharge and theimpact of reservoir operation modeling considering dam inflow and artificialwater supply. In this study, an integrated rainfall-runoff and reservoiroperation modeling was applied to analyze the water supply reliability andflood risk for a multipurpose dam catchment under climate change conditions. Therainfall-runoff model employed was the modèle du Génie Rural à 4 paramètresJournalier (GR4J) model, and the reservoir operation model used was an R-basedmodel with the structure of HEC-Ressim. Applying the climate change scenariosuntil 2100 to the established integrated model, the changes in water supplyreliability and flood risk of the Happcheon Dam were quantitatively analyzed.The results of the water supply reliability analysis showed that under SSP2-4.5conditions, the water supply reliability was higher than that under SSP5-8.5conditions. Particularly, in the far-future period, the range of flood risk widened,and both SSP2-4.5 and SSP5-8.5 scenarios showed the highest median flood riskvalues. While precipitation and runoff were expected to increase by less than10%, dam-released flood discharge was projected to surge by over 120% comparedto the baseline

A Study on Atmospheric Turbulence-Induced Errors in Vision Sensor based Structural Displacement Measurement (대기외란시 비전센서를 활용한 구조물 동적 변위 측정 성능에 관한 연구)

  • Junho Gong
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.28 no.3
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    • pp.1-9
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    • 2024
  • This study proposes a multi-scale template matching technique with image pyramids (TMI) to measure structural dynamic displacement using a vision sensor under atmospheric turbulence conditions and evaluates its displacement measurement performance. To evaluate displacement measurement performance according to distance, the three-story shear structure was designed, and an FHD camera was prepared to measure structural response. The initial measurement distance was set at 10m, and increased with an increment of 10m up to 40m. The atmospheric disturbance was generated using a heating plate under indoor illuminance condition, and the image was distorted by the optical turbulence. Through preliminary experiments, the feasibility of displacement measurement of the feature point-based displacement measurement method and the proposed method during atmospheric disturbances were compared and verified, and the verification results showed a low measurement error rate of the proposed method. As a result of evaluating displacement measurement performance in an atmospheric disturbance environment, there was no significant difference in displacement measurement performance for TMI using an artificial target depending on the presence or absence of atmospheric disturbance. However, when natural targets were used, RMSE increased significantly at shooting distances of 20 m or more, showing the operating limitations of the proposed technique. This indicates that the resolution of the natural target decreases as the shooting distance increases, and image distortion due to atmospheric disturbance causes errors in template image estimation, resulting in a high displacement measurement error.

Spatial and Temporal Variation of Surface Sediments by Tidal Environment Changes: Muan Bay, West Coast of Korea (조석환경 변화에 의한 표층퇴적물의 시.공간적 분포 변화: 한국 서해안의 무안만)

  • Ryu, Sang-Ock;Chang, Jin-Ho;Lee, Hee-Jun;Jo, Yeong-Jo;Choi, Ok-In
    • The Sea:JOURNAL OF THE KOREAN SOCIETY OF OCEANOGRAPHY
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    • v.14 no.1
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    • pp.10-21
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    • 2009
  • Muan Bay has extensively undertaken artificial influences through a series of construction of dams and dykes nearby resulting in a substantial increase in highest high water level. To unravel sedimentary responses to the water level rise, we collected a number of surface sediment samples and hydrodynamic data from in-situ observations of tidal currents in Muan Bay in 1998 and 2007. Comparison of the data between 1998 and 2007 shows that the relative content of coarse fractions, sand and gravel, in the sediment samples has increased with a decreased mean size, on average, from 6.2 to 5.8${\phi}$ at the expense of silt contents. Such a coarsening trend, which is more evident around high water level, particularly on the tidal flats of Dongam-ri, Guro-ri and Aphae-do, is most likely attributable to rising water level. On the other hand, an increase of fine fractions locally in the western entrance of the bay can be explained with changes in characteristics of tidal currents imposed by construction of bridges therein, such as decreased velocities and varied direction and phase of the tidal currents.