• Title/Summary/Keyword: Digital Leaf

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A Column-Aware Index Management Using Flash Memory for Read-Intensive Databases

  • Byun, Si-Woo;Jang, Seok-Woo
    • Journal of Information Processing Systems
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    • v.11 no.3
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    • pp.389-405
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    • 2015
  • Most traditional database systems exploit a record-oriented model where the attributes of a record are placed contiguously in a hard disk to achieve high performance writes. However, for read-mostly data warehouse systems, the column-oriented database has become a proper model because of its superior read performance. Today, flash memory is largely recognized as the preferred storage media for high-speed database systems. In this paper, we introduce a column-oriented database model based on flash memory and then propose a new column-aware flash indexing scheme for the high-speed column-oriented data warehouse systems. Our index management scheme, which uses an enhanced $B^+$-Tree, achieves superior search performance by indexing an embedded segment and packing an unused space in internal and leaf nodes. Based on the performance results of two test databases, we concluded that the column-aware flash index management outperforms the traditional scheme in the respect of the mixed operation throughput and its response time.

Reduction Chattering Error of Reed Switch Sensor for Remote Measurement of Water Meter (Reed Switch 센서를 이용한 원격 검침용 상수도 계량기에서 Chattering 오차 감소 방안 연구)

  • Ayurzana, Odgerel;Kwon, Jong-Won;Park, Yong-Man;Koo, Sang-Jun;Kim, Hie-Sik
    • Proceedings of the KIEE Conference
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    • 2007.04a
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    • pp.377-379
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    • 2007
  • To reduce the chattering errors of reed switch sensors used for automatic remote measurement of water supply system, a reed switch sensor was analyzed and improved. The operation of reed switch sensors can be described as a mechanical contact by approximation of permanent magnet piece to generate an electrical pulse. The reed switch sensors are used in measurement application by detecting the rotational or translational displacement. To apply for flow measurement devices, the reed switch sensors should keep high reliability. They are applied for the electronic digital type of water flow meters. The reed switch sensor is just installed simply on the mechanical type flow meter. A small magnet is attached on a pointer of the water meter counter rotor. Inside the reed sensor, two steel leaf springs make mechanical contact and apart as rotation of flow meter counter. The counting electrical contact pulses can be converted as the water flow amount. The MCU sends the digital flow rate data to the server using the wireless communication network. But it occurs data difference or errors by chattering noise. The reed switch sensor contains chattering error by it self at the force equivalent position. The vibrations such as passing car near to the switch sensor installed location. In order to reduce chattering error, most system uses just software methods for example using filter and also statistical calibration methods. The chattering errors were reduced by changing leaf spring structure using mechanical hysteresis characteristics.

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Analysis of epidemiological change of hair colored Acer palmatum Leaves extract as hair treatment product (헤어 트리트먼트제로서 단풍잎 추출물 컬러링 모발의 역학적 변화분석)

  • Park, Jang-Soon
    • Journal of Digital Convergence
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    • v.18 no.8
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    • pp.479-484
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    • 2020
  • In the social atmosphere where the importance of appearance is increasing day by day, efforts and desires of modern people are becoming more active and diversified, and the beauty beauty industry is gradually becoming more specialized and specialized due to these effects. Hair damage is inevitable due to the excessive permanent wave or hair coloring of modern people. However, as the hair is damaged, the cuticle peels off and falls off, and the tensile force decreases and the satisfaction after hair styling or perm decreases relatively. Therefore, it is necessary to manage damaged hair, but since artificial synthetic products occupy most of hair treatment agents on the market, it is necessary to develop a hair treatment product containing antioxidants useful for the human body. In this study, the effect of maple leaf extract on the mechanical change of colored hair was analyzed to investigate the potential of maple leaf extract as a hair treatment agent to improve damaged hair and improve hair health. It is considered that this study will be used as basic data for the development of hair beauty products using natural products in the future.

Automatic Multileaf Collimation Quality Assurance for IMRT using Electronic Portal Imaging

  • Jin, Ho-Sang;Jason W. Sohn;Suh, Tae-Suk
    • Proceedings of the Korean Society of Medical Physics Conference
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    • 2002.09a
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    • pp.305-308
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    • 2002
  • More complex radiotherapy techniques using multi leaf collimation(MLC) such as intensity-modulated radiation therapy(IMRT) has been increasing the significance of verification of leaf position and motion. Due to the reliability and robustness, quality assurance(QA) of MLC is usually performed with portal films. However, the advantage of ease of use and capability of providing digital data of electronic portal imaging devices(EPIDs) have attracted many attentions as alternatives of films for routine quality assurance in spite of the concerns about their clinical feasibility, efficacy, and the cost to benefit ratio. In our work, the method of routine QA of MLC using electronic portal imaging(EPI) was developed. The verification of availability of EPI images for routine QA was performed by comparison with those of the portal films which were simultaneously obtained when radiation was delivered and known prescription input to MLC controller. Specially designed test patterns of dynamic MLC were applied to image acquisition. Quantitative off-line analysis using edge detection algorithm enhanced the verification procedure in addition to on-line qualitative visual assessment. In conclusion, the EPI is available enough for routine QA with the accuracy of portal films.

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The Properties of Beam Intensity Scanner(BInS) in IMRT with Phantom for Three Dimensional Dose Verification

  • Young W. Vahc;Park, Kwangyl;Byung Y. Yi;Park, Kyung R.;Lee, Jong Y.;Ohyun Kwon;Park, Kwangyl;Kim, Keun M.
    • Proceedings of the Korean Society of Medical Physics Conference
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    • 2003.09a
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    • pp.64-64
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    • 2003
  • Objectives: Patient dose verification is clinically the most important parts in the treatment delivery of radiation therapy. The three dimensional(3D) reconstruction of dose distribution delivered to target volume helps to verify patient dose and determine the physical characteristics of beams used in intensity modulated radiation therapy(IMRT). We present Beam Intensity Scanner(BInS) system for the pre treatment dosimetric verification of two dimensional photon intensity. The BInS is a radiation detector with a custom made software for relative dose conversion of fluorescence signals from scintillator. Methods: This scintillator is fabricated by phosphor Gadolinium Oxysulphide and is used to produce fluorescence from the irradiation of 6MV photons on a Varian Clinac 21EX. The digitized fluoroscopic signals obtained by digital video camera will be processed by our custom made software to reproduce 3D relative dose distribution. For the intensity modulated beam(IMB), the BInS calculates absorbed dose in absolute beam fluence, which are used for the patient dose distribution. Results: Using BInS, we performed various measurements related to IMRT and found the followings: (1) The 3D dose profiles of the IMBs measured by the BInS demonstrate good agreement with radiographic film, pin type ionization chamber and Monte Carlo simulation. (2) The delivered beam intensity is altered by the mechanical and dosimetric properties of the collimating of dynamic and/or static MLC system. This is mostly due to leaf transmission, leaf penumbra, scattered photons from the round edges of leaves, and geometry of leaf. (3) The delivered dose depends on the operational detail of how to make multileaf opening. Conclusions: These phenomena result in a fluence distribution that can be substantially different from the initial and calculative intensity modulation and therefore, should be taken into account by the treatment planing for accurate dose calculations delivered to the target volume in IMRT.

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Effects of Vine Induction Method on the Growth and Fruit Yield in Korean Schisandra (오미자 덩굴 유인방법이 생육 및 과실 수량에 미치는 영향)

  • Kim, Ju Ho;Lee, Beom Gyun;Choi, Eun Young
    • Korean Journal of Medicinal Crop Science
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    • v.25 no.2
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    • pp.83-88
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    • 2017
  • Background: This study was aimed to determine the optimal vine induction method for growing of Korean schisandra (Schisandra chinensis), by comparing plant growth and fruit yields between plants grown with either fence-type (U-type) or A-type induction. Methods and Results: Plants were transplanted on August 17, 2014, and the plant height, stem node number and weight were measured every two weeks, six times from June 17, 2016. The plant height, stem node number, and leaf length and width were higher with the A-type than with the U-type induction, by approximately 37.0%, 49.1%, 27.6%, and 12.7%, respectively. Although there was no significant difference between the photosynthesis rates of plants grown with the two vine induction method, the leaf area and leaf number per plant were higher in the plants grown with the A-type than the U-type, by approximately 23.7% and 46.0%, respectively. The number of green-color pixels, in a defined area of digital camera images of creeper leaves from the inducted vines, was significantly higher in the plants grown with the A-type than the U-type. The number of fruit clusters per plant was approximately 26 and 36, under the U-type and A-type, respectively. A two fold higher total fruit weight per plant was observed in the plants grown under the A-type (250 g/plant) than the U-type (120 g/plant). Conclusions: The A-type vine induction method is optimal for cultivation of Korean schisandra.

Anti-bacteria effect of green tea, mulberry, and mate leaves extracts on S. mutans (녹차잎, 뽕잎, 마테잎 추출물이 S. mutans에 미치는 항균효과)

  • Kim, Sung-Sook;Won, Ji-Hye;Lee, Go-Eun;Lee, Ru-Ri;Lee, Sun-Mi;Lee, Jin-Hee;Kang, Kyung-hee
    • Journal of Digital Convergence
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    • v.15 no.1
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    • pp.347-353
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    • 2017
  • This study aims to figure out how green tea leaves, mulberry leaves, and mate leaves that are often taken around in drinking tea influence on S. mutans known as dental caries causative bacteria. After vaccinating 1% of S. mutans on the extract added badge and incubating 6 hours and 10 hours in $37^{\circ}C$, it calculated absorbance and bacterial colony number. Extract of green tea leaves and mate leaves were added with 0, 0.5, 1.0, 2.0, and 4.0% of concentration. As a result of growth suppressive effect of S. mutans, it may be observed that colony number significantly decreases in higher concentration. When it calculated bacterial colony number with adding 2% extract after 10 hours, 99.0% for green tea leaves, 97.1% for mulberry leaves, and 89.6% for mate leaves appeared.

LED for plant growth regulators for the study of Light on the device (식물 생장 조절을 위한 LED 광처리 장치에 대한 연구)

  • Bang, Gul-Won;Kim, Yong-Ho
    • Journal of Digital Convergence
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    • v.10 no.7
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    • pp.267-272
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    • 2012
  • Overcoming harsh light environment, as well as increased growth of crops even in high-quality production can play an important role when using the LED light system of photosynthetic products will be able to effectively reduce consumption. In this study, low efficiency of farm greenhouses, growing annual reduction in income due to rising operating costs and increase crop growth by inducing the proper planting environment Factory-type raise farmers' income and at the same time will contribute to the increase of Light device using LED Supplemental through photosynthesis, promote and improve product quality, plant growth regulators are considered possible for them to develop more efficient LED devices and LED Optical processing devices of Light leaf lettuce grown using normal fluorescent or incandescent bulbs grown in the results than the growth can see that the speed improvements. Usually shipped from seedling to harvest leaf lettuce from 25 to 30, whereas optical processing device be required red light (wavelength: 645nm) using a leaf of lettuce grown enough to be harvested after seven days increased the rate of growth. In addition, red light (wavelength: 645nm) and blue light (wavelength: 470nm) emitting at the same time, room, and grown for 5 days to harvest the growth rate was fast enough.

The Effect of Mulberry Leaf Extract on Blood biochemical parameters in White Rats Exposed to 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD) (상엽 물추출물이 다이옥신 유도 독성에 대한 흰쥐의 혈액 생화학지표에 미치는 영향)

  • Lee, Yoon-Bok;Bae, Soo-Jeong;Lee, Da-Kyung;Park, Swung-Jae;Park, Ji-Won;Kim, Byung-Weon;Whang, Seok-Yeon
    • Journal of Digital Convergence
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    • v.11 no.1
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    • pp.299-308
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    • 2013
  • We investigated the effect of mulberry leaf extract (MLE) on blood biochemical parameters of white rats induced TCDD toxicity. Data were analyzed by One-way ANOVA and Post-Hoc Test. The numbers of leukocyte and platelet decreased by TCDD were increased dramatically after treated MLE (p<0.01). The concentration of calcium and magnesium decreased by TT were increased by MLE and shown a statistical significance (p<0.01) but the concentration of phosphorus increased by TT was decreased by MLE. In the test of parameters related to renal function, only the concentration of uric acid in the MLE group was decreased than it in TT group and shown a statistical significance (p<0.01). Also the concentration of blood glucose and the activity of amylase and lipase increased by TT were decreased after treated MLE and shown a statistical significance (p<0.01), and MLE had an control effect for elevating blood glucose. In the test of parameters related to liver function, the acticity of AST, ALT and ALP increased by TT was decreased after treated MLE and shown a statistical significance (p<0.01), and MLE had an improving effect for liver function. In the case of total cholesterol (T,cho), triglyceride( TG), LDL-cholesterol (LDL-C) and HDL-cholesterol (HDL-C) related to lipid metabolism, the amount of T,cho, TG, LDL-C increased by TT were decreased after treated MLE and shown a statistical significance (p<0.01), and MLE had an ability of anti-hyperlipidemia. From these results, we concluded that MLE could mollified TCDD toxicity in white rats exposed to TCDD.

Evaluation of Applicability of RGB Image Using Support Vector Machine Regression for Estimation of Leaf Chlorophyll Content of Onion and Garlic (양파 마늘의 잎 엽록소 함량 추정을 위한 SVM 회귀 활용 RGB 영상 적용성 평가)

  • Lee, Dong-ho;Jeong, Chan-hee;Go, Seung-hwan;Park, Jong-hwa
    • Korean Journal of Remote Sensing
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    • v.37 no.6_1
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    • pp.1669-1683
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    • 2021
  • AI intelligent agriculture and digital agriculture are important for the science of agriculture. Leaf chlorophyll contents(LCC) are one of the most important indicators to determine the growth status of vegetable crops. In this study, a support vector machine (SVM) regression model was produced using an unmanned aerial vehicle-based RGB camera and a multispectral (MSP) sensor for onions and garlic, and the LCC estimation applicability of the RGB camera was reviewed by comparing it with the MSP sensor. As a result of this study, the RGB-based LCC model showed lower results than the MSP-based LCC model with an average R2 of 0.09, RMSE 18.66, and nRMSE 3.46%. However, the difference in accuracy between the two sensors was not large, and the accuracy did not drop significantly when compared with previous studies using various sensors and algorithms. In addition, the RGB-based LCC model reflects the field LCC trend well when compared with the actual measured value, but it tends to be underestimated at high chlorophyll concentrations. It was possible to confirm the applicability of the LCC estimation with RGB considering the economic feasibility and versatility of the RGB camera. The results obtained from this study are expected to be usefully utilized in digital agriculture as AI intelligent agriculture technology that applies artificial intelligence and big data convergence technology.