• The Transactions of the Korean Institute of Electrical Engineers A
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• v.52 no.12
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• pp.675-683
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• 2003

This paper describes the correction strategy of an overcurrent relay applied in the linked line for interconnecting wind farm with utility power networks in order to improve the capability of a fault detection. The fault current measured in a relaying point might vary according to the fault conditions. Generally, the current of the line to line fault or the line to ground fault in the linked line is much higher than the set value of protective relay due to the large fault level. However, when the high impedance fault occurs in the linked line, we can't detect it by conventional set value because its fault level may be lower than the generating capacity of wind farm. And, the protective relay with conventional set value may generate a trip signal for the insertion of wind turbine generators due to the large transient characteristics. In order to solve above problems and improve protective relaying algorithms applied in the linked line, we propose a new correction strategy of the protective relay in the linked line. The presented method can detect the high impedance fault which can't be detected by conventional relay set value and may prevent the mis-operation of protective relay caused by the insertion of wind farm.

• Bulletin of the Korean Chemical Society
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• v.25 no.1
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• pp.115-118
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• 2004

We have examined the feasibility of using the specific interaction between mistletoe lectin I (ML I) and ${\beta}$-Dgalactose instead of the anti-ML I antibody in developing a homogeneous type competitive binding assay for ML I. We also have examined the feasibility of adapting the biotin/avidin mediated homogeneous assay for this system. Alkaline phosphatase (AKP) was employed as a single substrate enzyme label. The dose-response curve shows a detection range of 1-25 ${\mu}$g/mL and a linear response with a correlation coefficient of 0.99. To demonstrate the analytical utility of this method, 10 ${\mu}$g/mL of ML I was spiked into distilled water. The results show that the mean recovery was 10.03 ${\mu}$g/mL with an SD of 0.18. The difference between the spiked value and the mean recovery was 0.03 ${\mu}$g/mL, with a relative error of 0.3 and 1.6 % of RSD.

• Journal of the Korean Society for Precision Engineering
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• v.33 no.8
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• pp.669-681
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• 2016

Mechanical designers often make mistakes that result in unwanted over-constraints, causing difficulty in assembly operations and residual stress due to interference among parts. This study is concerned with detection and elimination of over-constraints. Screw theory is a general method that is used for constraint analysis of an assembly and motion analysis of a mechanism. Mechanical assemblies with plane-plane, pin-hole, and pin-slot constraint pairs are analyzed using screw theory to illustrate its utility. As a real-world problem, a ball valve design is analyzed using the same method, and several unwanted over-constraints are detected. Elimination measures are proposed. Nominal dimensions of some parts are adjusted, and dimensions and tolerances of the pins and holes are modified using the virtual condition boundary concept. The revised design is free of over-constraints. General procedure for applying screw theory to constraint analysis is established and demonstrated; it will contribute to improving quality of assembly designs.

• Journal of Biomedical Engineering Research
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• v.20 no.1
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• pp.69-73
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• 1999

In this paper, an algorithm based on Snakes is proposed to detect the boundary of 3D images. From the first-slice MR image, the boundary of an object is detected manually. The detected boundary points are used as initial control points for detecting the boundary of the next MR image. To detect the boundary from the rest of MR images automatically, an energy term using spatial correlation between adjacent images is added to the Greedy Snakes energy formulation. A measure of shape similarity called BMD was used to evaluate the accuracy of the proposed algorithm. The average BMD value for the proposed algorithm's result is higher than Greedy algorithm's showing the utility of the proposed method.

• Proceedings of the KIEE Conference
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• 2007.07a
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• pp.206-207
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• 2007

Islanding is the electrical phenomenon in a part of a power network disconnected from the utility, where the loads are entirely supplied by PV systems, and where the voltage and frequency are maintained around nominal values. But islanding may result in power-quality issues, interference to grid-protection devices, equipment damage, and even personnel safety hazards[4]. Therefore, islanding must be detected and stopped. The existing anti-islanding methods have NDZ(None-detection Zone) or power quality degradation. But PV-AF power generation system has the function of not only shunt active filter but also anti-islanding method without NDZ. In this paper, It is proved that PV-AF system has originally the function of anti-islanding without not only NDZ and but current distortion

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.12 no.11
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• pp.5357-5381
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• 2018

Cloud computing offers a wide range of on-demand resources over the internet. Utility-based resource allocation in cloud data centers significantly increases the number of cloud users. Heavy usage of cloud data center encounters many problems such as sacrificing system performance, increasing operational cost and high-energy consumption. Therefore, the result of the system damages the environment extremely due to heavy carbon (CO2) emission. However, dynamic allocation of energy-efficient resources in cloud data centers overcomes these problems. In this paper, we have proposed Energy and Service Level Agreement (SLA) Aware Resource Allocation Heuristic Algorithms. These algorithms are essential for reducing power consumption and SLA violation without diminishing the performance and Quality-of-Service (QoS) in cloud data centers. Our proposed model is organized as follows: a) SLA violation detection model is used to prevent Virtual Machines (VMs) from overloaded and underloaded host usage; b) for reducing power consumption of VMs, we have introduced Enhanced minPower and maxUtilization (EMPMU) VM migration policy; and c) efficient utilization of cloud resources and VM placement are achieved using SLA-aware Modified Best Fit Decreasing (MBFD) algorithm. We have validated our test results using CloudSim toolkit 3.0.3. Finally, experimental results have shown better resource utilization, reduced energy consumption and SLA violation in heterogeneous dynamic cloud environment.

• Journal of Industrial and Engineering Chemistry
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• v.67
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• pp.461-468
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• 2018

A highly sensitive, selective and rapid method for the determination of lead based on the reaction of lead (II) with 5-(4'-chlorophenylazo)-6-hydroxypyrimidine-2,4-dione (CPAHPD) and the solid phase extraction of the Pb(II)-CPAHPD complex with Amberlite XAD-2000 was developed, in the presence of pH 5.6 buffer solution and Triton X-114 medium. CPAHPD reacts with lead to form a violet complex with a molar ratio of 2:1 (CPAHPD to lead). This complex was enriched by the solid phase extraction with Amberlite XAD-2000. An enrichment factor of 500 was obtained by elution of the complex from the resin with a minimal amount of isopentyl alcohol(0.2 mL). In isopentyl alcohol medium,the molar absorptivity of the complex is $1.13{\times}10^6L\;mol^{-1}cm^{-1}$ at 647 nm. Beer's law is obeyed in the range of $5.0-160ng\;mL^{-1}$ in the measured solution. The relative standard deviation for 10 replicate samples of $50ng\;mL^{-1}$ level is 1.26%. The detection and quantification limits reaches 1.5 and $4.7ng\;mL^{-1}$ in the original samples. The presented procedure was successfully applied for determination of lead content in real samples such as vegetables, waters, biological and soil samples with satisfactory results.

• Korean Journal of Metals and Materials
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• v.47 no.1
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• pp.7-12
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• 2009

The detailed quantitative microstructural data on the cracking of coarse constituent particles in 7075 (T651) series wrought Al-alloys have been studied using the utility of a novel digital image processing technique, where the particle cracks are generated due to monotonic loading. The microstructural parameters such as number density, volume fraction, size distribution, first nearest neighbor distribution, and two-point correlation function have been quantitatively characterized using the developed technique and such data are very useful to verify and study the theoretical models for the damage evolution and fracture of Al-alloys. The data suggests useful relationships for damage modeling such as a linear relationship between particle cracking and strain exists for the uniaxial tensile loading condition, where the larger particles crack preferentially.

• International Journal of Computer Science & Network Security
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• v.23 no.8
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• pp.159-167
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• 2023

Objective: • To detect black hole and warm hole attacks in wireless sensor networks. • To give a solution for energy depletion and security breach in wireless sensor networks. • To address the security problem using strategic decision support system. Methods: The proposed stackelberg game is used to make the spirited relations between multi leaders and multi followers. In this game, all cluster heads are acts as leaders, whereas agent nodes are acts as followers. The game is initially modeled as Quadratic Programming and also use backtracking search optimization algorithm for getting threshold value to determine the optimal strategies of both defender and attacker. Findings: To find optimal payoffs of multi leaders and multi followers are based on their utility functions. The attacks are easily detected based on some defined rules and optimum results of the game. Finally, the simulations are executed in matlab and the impacts of detection of black hole and warm hole attacks are also presented in this paper. Novelty: The novelty of this study is to considering the stackelberg game with backtracking search optimization algorithm (BSOA). BSOA is based on iterative process which tries to minimize the objective function. Thus we obtain the better optimization results than the earlier approaches.

• Korean Journal of Clinical Laboratory Science
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• v.41 no.1
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• pp.11-23
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• 2009

Chromosomal rearrangements are major pathology in hematological malignancies. The detection of minimal residual disease (MRD) for these gene rearrangements helps in monitoring treatment outcomes and predicting prognosis of patients. Recently, quantification of these gene transcripts based on real-time quantitative polymerase chain reaction (RQ-PCR) has been used as MRD detection. The purpose of this study is to ensure the usefulness of the RQ-PCR technique for detecting MRD in hamatological malignancy patients. The patients had been diagnosed to AML1-ETO positive AML, PML-RARa positive AML and BCR-ABL positive MPN at Chonnam National University Hwasun Hospital from Jan. 2006 to Aug. 2008. The fusion transcript was quntified by RQ-PCR and analyzed in comparison to conventional cytogenetics, FISH and RT-PCR. The fusion gene transcript was quantified by RQ-PCR in 57 samples from 14 patients with AML1-ETO positive AML, 79 samples from 27 patients with PML-RARa positive AML and 108 samples from 36 patients with CML. At diagnosis, the quantitative fusion transcripts for AM1-ETO, PML-RARa and BCR-ABL showed the range of 0.485552651~10.82233683 (mean 3.782217131, SD 2.998052348), 0.005300395~0.29267494 (mean 0.056901315, SD 0.080131381) and 0.1293929~12.94826849 (mean 1.701935665, SD 2.200913158). The increase of AML1-ETO fusion gene transcripts preceded morphologic relapse in two patients. Quantification of fusion gene transcripts by RQ-PCR could detected MRD in samples which were negative by in cytogenetic analysis or FISH. Our findings indicated that quantitative analysis of AML1-ETO, PML-RARa and BCR-ABL transcripts by RQ-PCR might be a useful tool for the monitoring of minimal residual disease in hematological malignancies.