• Title/Summary/Keyword: Fixed Threshold

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Development of Sequential Sampling Plans for Tetranychus urticae in Strawberry Greenhouses (딸기 온실에서 점박이응애의 축차표본조사법 개발)

  • Choe, Hojeong;Kang, Juwan;Jung, Hyojin;Choi, Sira;Park, Jung-Joon
    • Korean Journal of Environmental Biology
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    • v.35 no.4
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    • pp.427-436
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    • 2017
  • A fixed-precision-level sampling plan was developed to establish control of the two-spotted spider mite, Tetranychus urticae, in two strawberry greenhouses (conventional plot, natural enemy plot). T. urticae was sampled by taking a three-leaflet leaf (1 stalk) from each plant (3 three-leaflet leaves) from each sampling position. Each leaflet was divided into three different units (1-leaflet, 2-leaflet, and 3-leaflet units) to compare relative net precision (RNP) values for selection of the appropriate sampling unit. The relative net precision values indicated that a 1-leaflet unit was more precise and cost-efficient than other units. The spatial distribution analysis was performed using Taylor's power law (TPL). Homogeneity of the TPL parameters in each greenhouse was evaluated by using the analysis of covariance (ANCOVA). A fixed-precision-level sequential sampling plan was developed using the parameters of TPL generated from the combined data of the conventional plot and natural enemy plot in a 1-leaflet sampling unit. Sequential classification sampling plans were also developed using the action threshold of 3 and 10 mites for pooled data. Using the results obtained in the independent data, simulated validation of the developed sampling plan by Resampling validation for sampling plan (RVSP) indicated a reasonable level of precision.

Thermal Imaging Fire Detection Algorithm with Minimal False Detection

  • Jeong, Soo-Young;Kim, Won-Ho
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.14 no.5
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    • pp.2156-2170
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    • 2020
  • This paper presents a fire detection algorithm with a minimal false detection rate, intended for a thermal imaging surveillance environment, whose properties vary depending on temporal conditions of day or night and environmental changes. This algorithm was designed to minimize the false detection alarm rate while ensuring a high detection rate, as required in fire detection applications. It was necessary to reduce false fire detections due to non-flame elements occurring when existing fixed threshold-based fire detection methods were applied. To this end, adaptive flame thresholds that varied depending on the characteristics of input images, as well as the center of gravity of the heat-source and hot-source regions, were analyzed in an attempt to minimize such non-flame elements in the phase of selecting flame candidate blocks. Also, to remove any false detection elements caused by camera shaking, one of the most frequently raised issues at outdoor sites, preliminary decision thresholds were adaptively set to the motion pixel ratio of input images to maximize the accuracy of the preliminary decision. Finally, in addition to the preliminary decision results, the texture correlation and intensity of the flame candidate blocks were averaged for a specific period of time and tested for their conformity with the fire decision conditions before making the final decision. To verify the fire detection performance of the proposed algorithm, a total of ten test videos were subjected to computer simulation. As a result, the fire detection accuracy of the proposed algorithm was determined to be 94.24%, with minimum false detection, demonstrating its improved performance and practicality compared to previous fixed threshold-based algorithms.

Potentiation of Morphine's Antinociception by Group II and Group III Metabotropic Glutamate Receptors Agonists on a Rat Incisional Pain

  • Kim, Chang Mo;Choi, Jeong Il;Bae, Hong Beom;Kim, Seok Jai;Chung, Sung Tae;Kim, Ok Hwan;Yoon, Myung Ha
    • The Korean Journal of Pain
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    • v.19 no.2
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    • pp.131-136
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    • 2006
  • Background: The aim of this study was to clarify the role of spinal groups II and III metabotropic glutamate receptors (mGluRs) with respect to postoperative pain at the spinal level. In addition, the nature of the pharmacological interaction between groups II and III mGluRs agonists and morphine was determined. Methods: Catheters were inserted into the intrathecal space of male SD rats. To induce postoperative pain, an incision was made in the plantar surface of the hind paw. A pharmacological characteristic for the interaction between groups II and III mGluRs agonists and morphine was evaluated using a fixed-dose analysis. Results: None of intrathecal group II and III mGluRs agonists modified the withdrawal threshold of the incisional pain. The administration of intrathecal morphine resulted in an increase of a dose dependent withdrawal threshold. A fixed-dose analysis revealed that the group III mGluRs agonist, ACPT-III, increased the antinociceptive action of morphine, while the group II mGluRs agonist, APDC, had no effect the antinociception of morphine. Conclusions: These results suggest that group II and III mGluRs may not play a direct modulatory role in the processing of postoperative pain at the spinal level. However, agonizing group III mGluRs may indirectly contributable to the potentiation of morphines antinociception in the spinal cord. Thus, the combination of morphine and a group III mGluRs agonist may be useful in the management of spinal postoperative pain.

The Fractal Video Coding with Rate Control (전송율제어를 갖는 프랙탈 비디오 코딩)

  • Suh, Kim-Bum;Chong, Jong-Wha
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.37 no.3
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    • pp.1-10
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    • 2000
  • This paper proposes a novel video coding system with rate control based on fractal algorithm To overcome the demerits of excessive amounts of coded bit generated by previous fractal coding methodology. the proposed system classifies the Image into three classes such as background, motion compensation, and fractal coding area. The motion vector for motion compensation, and the fractal offset value that is difference value between the predicted offset and the least-square approximated value are coded with variable length code The decision method which determines threshold value of partitioning quadtree is applied to the bit-rate control algorithm considering the quantity of currently generated bits and fixed channel bandwidth Experimental result shows that the proposed system enhances compression ratio 1.8 times higher than previous method for the same image quality, and performs efficient rate control for fixed channel bandwidth.

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Electrical Stimulation Parameters in Normal and Degenerate Rabbit Retina (정상 망막과 변성 망막을 위한 전기자극 파라미터)

  • Jin, Gye-Hwan;Goo, Yong-Sook
    • Progress in Medical Physics
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    • v.19 no.1
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    • pp.73-79
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    • 2008
  • Retinal prosthesis is regarded as the most feasible method for the blind caused by retinal diseases such as retinitis pigmentosa (RP) or age related macular degeneration (AMD). Recently Korean consortium launched for developing retinal prosthesis. One of the prerequisites for the success of retinal prosthesis is the optimization of the electrical stimuli applied through the prosthesis. Since electrical characteristics of degenerate retina are expected to differ from those of normal retina, we performed voltage stimulation experiment both in normal and degenerate retina to provide a guideline for the optimization of electrical stimulation for the upcoming prosthesis. After isolation of retina, retinal patch was attached with the ganglion cell side facing the surface of microelectrode arrays (MEA). $8{\times}8$ grid layout MEA (electrode diameter: $30{\mu}m$, electrode spacing: $200{\mu}m$, and impedance: $50k{\Omega}$ at 1 kHz) was used to record in-vitro retinal ganglion cell activity. Mono-polar electrical stimulation was applied through one of the 60 MEA channel, and the remaining channels were used for recording. The electrical stimulus was a constant voltage, charge-balanced biphasic, anodic-first square wave pulse without interphase delay, and 50 trains of pulse was applied with a period of 2 sec. Different electrical stimuli were applied. First, pulse amplitude was varied (voltage: $0.5{\sim}3.0V$). Second, pulse duration was varied $(100{\sim}1,200{\mu}s)$. Evoked responses were analyzed by PSTH from averaged data with 50 trials. Charge density was calculated with Ohm's and Coulomb's law. In normal retina, by varying the pulse amplitude from 0.5 to 3V with fixed duration of $500{\mu}s$, the threshold level for reliable ganglion cell response was found at 1.5V. The calculated threshold of charge density was $2.123mC/cm^2$. By varying the pulse duration from 100 to $1,200{\mu}s$ with fixed amplitude of 2V, the threshold level was found at $300{\mu}s$. The calculated threhold of charge density was $1.698mC/cm^2$. Even after the block of ON-pathway with L-(1)-2-amino-4-phosphonobutyric acid (APB), electrical stimulus evoked ganglion cell activities. In this APB-induced degenerate retina, by varying the pulse duration from 100 to $1200{\mu}s$ with fixed voltage of 2 V, the threshold level was found at $300{\mu}s$, which is the same with normal retina. More experiment with APB-induced degenerate retina is needed to make a clear comparison of threshold of charge density between normal and degenerate retina.

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Threshold Level Setting of a Receiver in Optical Subscriber Network with Manchester Coded Downstream and NRZ Upstream Re-modulation for the Improvement of Upstream Data Ratios (맨체스터 부호로 코딩된 하향신호의 재변조를 이용한 광가입자 망에서 상향속도개선을 위한 임계치의 설정)

  • Park, Sang-Jo
    • Journal of the Korea Society of Computer and Information
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    • v.16 no.12
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    • pp.175-185
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    • 2011
  • The threshold level of a receiver is analyzed for the simplification of system and the improvement of upstream data ratios in optical subscriber network of which the upstream date rate and the optical transmitted power are changed to meet the requested BER (Bit Error Rate) defined per interactive multimedia services. In asynchronous optical subscriber network of which the upstream to downstream data ratios are 1:1/2, 1:1/4, 1:1/8 and 1:1/16 with manchester coded downstream and NRZ (Non Return to Zero) downstream re-modulation, the BER performance is theoretically analyzed and it is performed by simulation with MATLAB according to the four types of downstream data for four models. The results have shown that in the cases which the upstream to downstream data ratios are 1:1/4, 1:1/8 and 1:1/16 the conventional receiver with threshold level of 1/2 can be applied regardless of average received optical powers and the BER is not much deteriorated compared with using the optimal threshold level. In the case that the upstream to downstream data ratio is 1:1/2 the threshold level in an optical receiver could be fixed at 1/3 and the BER is not much deteriorated compared with using the optimal threshold level as the average received optical power increases.

Volume Change of Spiral Computed Tomography due to the Changed in the Parameters (파라미터의 변경에 따라 나선형 전산화 단층 촬영의 체적 변화)

  • Lee, JunHaeng
    • Journal of the Korean Society of Radiology
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    • v.7 no.4
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    • pp.307-311
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    • 2013
  • This study examined the change of artifact volume by analyzing the level of image change associated with the setting of threshold through 3D imaging in scan parameter(slice thickness and helical pitch) and 3D image reconstruction to explore whether the presence of pathology was fully distinguished when CT was taken by lower dose than the existent dose to reduce exposure. Furthermore, this study attempted to investigate Scan Parameter acceptable in CT to reduce exposure dose. For materials and methods, silicon was used to produce samples. Five spherical samples were produced at 10-millimeter intervals(50, 40, 30, 20, and 10 mm) in diameter and were fixed at 120 Kvp of tube voltage and 50 mA of tube current. Varied slab thickness((1.0, 2.0, 3.0, 5.0, and 7.0mm) and Helical Pitch(1.5, 2.0, 3.0) were scanned. The image at an interval of 1.0, 2.0, 3.0, 5.0, and 7.0mm was transmitted to the workstation. Threshold(-200, -50, 50 ~ 1,000) was changed using the volume rendering technique, 3D image was reconstructed, and artifact volume was measured. In conclusion, 1.5 of Helical Pitch showed the least change of volume and 3.0 of helical pitch showed the greatest reduction of volume change. The experiment suggested that as slice thickness was increased, artifact volume was decreased more than actual measurement. Furthermore, in the 3D image reconstruction, when the range of threshold was set as -200 ~1,000, artifact volume was changed the least. Based on the results, it is expected to have an effect of reducing exposure dose.

Convergence of Acupoint and Electrical Stimulation Therapy for Blood Flow and Pain Threshold (혈류량과 통증역치에 대한 경혈과 전기자극치료의 융합연구)

  • Yi, Dong-Hyun;Kim, Beom-Ryong;Hur, Yoon-Jung;Kim, Dong-Hoon;Shim, Su-Young;Yim, Jong-Eun
    • Journal of the Korea Convergence Society
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    • v.10 no.6
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    • pp.79-87
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    • 2019
  • This study examined how the application of silver spike point (SSP) and acupuncture-like transcutaneous electrical nerve stimulation (A-TENS) on acupoints affects blood flow and pain threshold, using laser Doppler blood fluxes and the Commander algometer. Our study included 32 healthy men and women who were randomly divided into the SSP group (n=18) and the A-TENS group (n=14). The pain threshold and blood flow were measured at the Neiguan (PC6) of the Jueyin Pericardium Meridian of the hand. SSP was performed with a 2.8cm electrode at a fixed frequency of 3 Hz for 15 minutes. The change in blood flow and pain threshold after the intervention significantly differed between the two groups (p<0.05). We found that the application of SSP and A-TENS on an acupoint altered their blood flow and pressure pain threshold, with SSP resulting in significantly greater change than A-TENS. Based on these results, the convergence of acupoint and electrical stimulation therapy can be usefully applied as a method for various patients. Continued development of convergence interventions is necessary.

STEREO VISION-BASED FORWARD OBSTACLE DETECTION

  • Jung, H.G.;Lee, Y.H.;Kim, B.J.;Yoon, P.J.;Kim, J.H.
    • International Journal of Automotive Technology
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    • v.8 no.4
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    • pp.493-504
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    • 2007
  • This paper proposes a stereo vision-based forward obstacle detection and distance measurement method. In general, stereo vision-based obstacle detection methods in automotive applications can be classified into two categories: IPM (Inverse Perspective Mapping)-based and disparity histogram-based. The existing disparity histogram-based method was developed for stop-and-go applications. The proposed method extends the scope of the disparity histogram-based method to highway applications by 1) replacing the fixed rectangular ROI (Region Of Interest) with the traveling lane-based ROI, and 2) replacing the peak detection with a constant threshold with peak detection using the threshold-line and peakness evaluation. In order to increase the true positive rate while decreasing the false positive rate, multiple candidate peaks were generated and then verified by the edge feature correlation method. By testing the proposed method with images captured on the highway, it was shown that the proposed method was able to overcome problems in previous implementations while being applied successfully to highway collision warning/avoidance conditions, In addition, comparisons with laser radar showed that vision sensors with a wider FOV (Field Of View) provided faster responses to cutting-in vehicles. Finally, we integrated the proposed method into a longitudinal collision avoidance system. Experimental results showed that activated braking by risk assessment using the state of the ego-vehicle and measuring the distance to upcoming obstacles could successfully prevent collisions.

Adaptive morphological Wavelet-CNN Algorithm for the Color Image Edge detection (컬러 영상 에지 검출을 위한 적응 형태학적 WCNN 알고리즘)

  • Beak, Young-Hyun;Moon, Sung-Rung
    • Journal of the Korean Institute of Intelligent Systems
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    • v.14 no.4
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    • pp.473-480
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    • 2004
  • This paper presents a new edge detection algorithm in color image. The proposed Adaptive morphological Wavelet-CNN algorithm is divided into two parts : The Adaptive morpholog and WCNN(Wavelet Cellular Neural Networks). It detects the optimal edge with applying this color image to WCNN algorithm, after it does level up a boundary side of a color image by using the adaptive morphology as the threshold of an input color image. Also, it is used not a conventional fixed mask edge detection method but variable mask method which is called a variable BBM. Finally, to show the feasibility of the proposed algorithm, this paper provides by simulation that the color image consists of 30.