• Title/Summary/Keyword: Optimal Technique

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A Dynamic Locality Sensitive Hashing Algorithm for Efficient Security Applications

  • Mohammad Y. Khanafseh;Ola M. Surakhi
    • International Journal of Computer Science & Network Security
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    • v.24 no.5
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    • pp.79-88
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    • 2024
  • The information retrieval domain deals with the retrieval of unstructured data such as text documents. Searching documents is a main component of the modern information retrieval system. Locality Sensitive Hashing (LSH) is one of the most popular methods used in searching for documents in a high-dimensional space. The main benefit of LSH is its theoretical guarantee of query accuracy in a multi-dimensional space. More enhancement can be achieved to LSH by adding a bit to its steps. In this paper, a new Dynamic Locality Sensitive Hashing (DLSH) algorithm is proposed as an improved version of the LSH algorithm, which relies on employing the hierarchal selection of LSH parameters (number of bands, number of shingles, and number of permutation lists) based on the similarity achieved by the algorithm to optimize searching accuracy and increasing its score. Using several tampered file structures, the technique was applied, and the performance is evaluated. In some circumstances, the accuracy of matching with DLSH exceeds 95% with the optimal parameter value selected for the number of bands, the number of shingles, and the number of permutations lists of the DLSH algorithm. The result makes DLSH algorithm suitable to be applied in many critical applications that depend on accurate searching such as forensics technology.

Optimization of Direct Design System of Steel Framesusing Advanced Analysis and Genetic Algorithm (고등해석과 유전자 알고리즘을 이용한 강뼈대 구조물의 직접설계시스템의 최적화)

  • Choe, Se-Hyu;Roh, Woo-Hyuk;Kim, Jong-In;Park, Kyung-Sik
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.10 no.5
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    • pp.203-211
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    • 2006
  • In this paper, the optimization of direct design system of steel frames by genetic algorithm involving advanced analysis are performed. For the analysis of steel frames advanced analysis accounting for geometric nonlinearity and material nonlinearity are executed. The genetic algorithm was used as optimization technique. The weight of structures is treated as the objective function. The constraint functions are defined by load-carrying capacities, deflections, inter-story drifts, and ductility requirement. The effectiveness of the proposed method are verified by comparing the results of the proposed method with those of other method.

GAIN-QoS: A Novel QoS Prediction Model for Edge Computing

  • Jiwon Choi;Jaewook Lee;Duksan Ryu;Suntae Kim;Jongmoon Baik
    • Journal of Web Engineering
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    • v.21 no.1
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    • pp.27-52
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    • 2021
  • With recent increases in the number of network-connected devices, the number of edge computing services that provide similar functions has increased. Therefore, it is important to recommend an optimal edge computing service, based on quality-of-service (QoS). However, in the real world, there is a cold-start problem in QoS data: highly sparse invocation. Therefore, it is difficult to recommend a suitable service to the user. Deep learning techniques were applied to address this problem, or context information was used to extract deep features between users and services. However, edge computing environment has not been considered in previous studies. Our goal is to predict the QoS values in real edge computing environments with improved accuracy. To this end, we propose a GAIN-QoS technique. It clusters services based on their location information, calculates the distance between services and users in each cluster, and brings the QoS values of users within a certain distance. We apply a Generative Adversarial Imputation Nets (GAIN) model and perform QoS prediction based on this reconstructed user service invocation matrix. When the density is low, GAIN-QoS shows superior performance to other techniques. In addition, the distance between the service and user slightly affects performance. Thus, compared to other methods, the proposed method can significantly improve the accuracy of QoS prediction for edge computing, which suffers from cold-start problem.

Comparison of Soy and Pea Protein for Cultured Meat Scaffolds: Evaluating Gelation, Physical Properties, and Cell Adhesion

  • Do Hyun Kim;Seo Gu Han;Su Jin Lim;Seong Joon Hong;Hyuk Cheol Kwon;Hyun Su Jung;Sung Gu Han
    • Food Science of Animal Resources
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    • v.44 no.5
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    • pp.1108-1125
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    • 2024
  • Cultured meat is under investigation as an environmentally sustainable substitute for conventional animal-derived meat. Employing a scaffolding technique is one approach to developing cultured meat products. The objective of this research was to compare soy and pea protein in the production of hydrogel scaffolds intended for cultured meat. We examined the gelation process, physical characteristics, and the ability of scaffolds to facilitate cell adhesion using mesenchymal stem cells derived from porcine adipose tissue (ADSCs). The combination of soy and pea proteins with agarose and agar powders was found to generate solid hydrogels with a porous structure. Soy protein-based scaffolds exhibited a higher water absorption rate, whereas scaffolds containing agarose had a higher compressive strength. Based on Fourier transform infrared spectroscopy analysis, the number of hydrophobic interactions increased between proteins and polysaccharides in the scaffolds containing pea proteins. All scaffolds were nontoxic toward ADSCs, and soy protein-based scaffolds displayed higher cell adhesion and proliferation properties. Overall, the soy protein-agarose scaffold was found to be optimal for cultured meat production.

Laboratory Tests to Verify the Vertically Automated Control Technique for Tripod Suction Buckets (실내실험을 통한 트라이포드 석션버켓의 수직도 자동제어 기술의 검증)

  • Xin Zhen-Hua;Lee Ju-Hyung
    • Journal of Wind Energy
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    • v.13 no.4
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    • pp.5-16
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    • 2022
  • In general, a tripod-shaped foundation secures its verticality by repeating penetration and drawing when suction penetration is performed. These repetitive tasks not only require a skilled operator, but are also less efficient. In this study, an automatic slope control system was developed to verify the slope control performance based on tripod suction in a sandy soil environment. The slope of the tripod suction base was measured, and the relative height of each suction bucket was calculated from the center of the tripod with a formula. The control program reduces the pump output of the suction bucket that penetrates too quickly by controlling the suction pressure of each suction bucket by sending an on/off signal to the suction pump according to the relative height. With such repetitive work, the relative height converges to 0 and the verticality of the structure can be secured while suction penetration is performed. As a result of the experiment, the effect of controlling the slope depending on the optimal limit setting height and penetration depth was confirmed, and a vertical degree within 0.5° was ensured. When installing a tripod suction bucket, the automatic tilt control method using the relative height is efficient without relying on the experience of the operator.

Classification of Radar Signals Using Machine Learning Techniques (기계학습 방법을 이용한 레이더 신호 분류)

  • Hong, Seok-Jun;Yi, Yearn-Gui;Choi, Jong-Won;Jo, Jeil;Seo, Bo-Seok
    • Journal of IKEEE
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    • v.22 no.1
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    • pp.162-167
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    • 2018
  • In this paper, we propose a method to classify radar signals according to the jamming technique by applying the machine learning to parameter data extracted from received radar signals. In the present army, the radar signal is classified according to the type of threat based on the library of the radar signal parameters mostly built by the preliminary investigation. However, since radar technology is continuously evolving and diversifying, it can not properly classify signals when applying this method to new threats or threat types that do not exist in existing libraries, thus limiting the choice of appropriate jamming techniques. Therefore, it is necessary to classify the signals so that the optimal jamming technique can be selected using only the parameter data of the radar signal that is different from the method using the existing threat library. In this study, we propose a method based on machine learning to cope with new threat signal form. The method classifies the signal corresponding the new jamming method for the new threat signal by learning the classifier composed of the hidden Markov model and the neural network using the existing library data.

A Study on Algorithm of the Integrated Communication System in Radio Station (무선국의 통합 시스템에 대한 알고리즘의 연구)

  • 조학현;최조천;김기문
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.2 no.4
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    • pp.545-551
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    • 1998
  • The Radio communication by existing SSB, VHF, etc. in a coast station and a base station for military affairs is still used to a very important the device of information delivery or transmitting and receiving by the remote controller to using to the exclusive cable for a equipment established at a long distance. When a number of consumer to connected and operated by a number of transceiver is essential for a circuit controller of ICS, in KOREA, is devoted by import to considerable quantity because of to be delayed development of this field. This Paper has been realized to optimal algorithm and designing of a circuit connection controller by multi-processor to pre-stage for the development of ICS. The H/W is composed able to remote control to circuit connector with the several slave processor and a processor for master, and this has taken possible through without any obstacle to communication circuits of a control signal by FSK system. The S/W make possible monitoring for communication condition of other circuits by means of a serial communication system by the multi-processing. This paper has been studied for connecting to a circuits wished to rapidly and precisely by the full application to a interrupt technique. A technique to control by remote to a number of transceiver is a way increasing to application for a frequency resource of the limited MF/SF, VHF and the existing radio communication technique. According to, this paper will achieve to be the reduction of energy & equipment and multiplicity of information delivery in the general communication and disposal to rapid and exact for the important communication as distress, urgency and safety on the sea.

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Development of Stable Production Technique of Summer Spinach (Spinacia oleracea L.) in Soilless Culture in the Highlands (수경재배에 의한 고랭지 시금치의 여름철 안정생산 기술 개발)

  • Lee, Eung-Ho;Lee, Jong-Nam;Im, Ju-Sung;Ryu, Seung-Yeol;Kwon, Young-Seok;Jang, Suk-Woo
    • Journal of Bio-Environment Control
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    • v.20 no.1
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    • pp.21-26
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    • 2011
  • Differences among cultivars, conditions of nutrient solution, nursing materials, and soilless culture systems were investigated to select suitable cultivar and cultivation methods for stable production of summer spinach in the highlands. The 'Quinto' spinach showed the earliest growth and highest yield. For yield increase of summer spinach, optimal solution pH was 6.0, EC was $2.0dS{\cdot}m^{-1}$, and $NH_4-N$ ratio of nutrient solution was 30 percent Stand rate of spinach in nursing seedlings, at 200-cell-tray filled with mixed nursing soil (peat : perlite = 7 : 3), was higher than those grown in urethane sponge and rock-wool plug. Yield was also 18 to 24 percent higher than those in rock-wool plug and urethane sponge. Plant length and yield of spinach in mixed substrate (peat : perlite = 7 : 3) filled nutrient film technique (MSNFT) system were longer of 18 percent, and higher of 9 percent than those in deep flow technique (DFT) system, respectively. However, changes of root zone temperature, pH and EC showed similar pattern with DFT. Therefore, growing 'Quinto' cultivar at 6.0 of pH, $2.0dS{\cdot}m^{-1}$ of EC, 30 percent of $NH_4-N$ ratio, at 200-cell-tray filled with mixed nursing soil, and MSNFT cultivation system, was the best for production of summer spinach in the highlands.

Design of a wind turbine generator with low cogging torque by using evolution strategy (진화론적 알고리즘을 이용한 코깅토크가 적은 풍력발전기의 설계)

  • Park, Ju-Gyeong;Cha, Guee-Soo;Lee, Hee-Joon;Kim, Yong-Sub
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.17 no.11
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    • pp.755-760
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    • 2016
  • The demand for independent generators using renewable energy has been increasing. Among those independent generators, small wind turbine generators have been actively developed. Permanent magnets are generally used for small wind turbine generators to realize a simple structure and small volume. On the other hand, cogging torque is included due to the structure of the permanent magnet synchronous machine, which can be the source of noise and vibration. The cogging torque can be varied by the shape of the permanent magnet and core, and it can be reduced using the appropriate design techniques. This paper proposes a design technique that can reduce the cogging torque by changing the shape of the permanent magnets for SPMSM (Surface Permanent Magnet Synchronous Motor), which is used widely for small wind turbine generators. Evolution Strategy, which is one of non-deterministic optimization techniques, was adopted to find the optimal shape of the permanent magnets that can reduce the cogging torque. The angle and outer diameter of permanent magnet were set as the design variable. A 300W class wind turbine generator, whose pole/slot combination was 8 poles/18 slots, was designed with the proposed design technique. The properties of the generator, including the cogging torque and output voltage, were calculated. The calculation results showed that the cogging torque of the optimized model was reduced compared to that of the initial model. The design technique proposed by this paper can be an effective measure to reduce the cogging torque.

Sediment discharge assessment and stable channel analysis using Model Tree of data mining for Naesung Stream (데이터 마이닝의 Model Tree를 활용한 내성천의 유사량 산정 및 안정하도 평가)

  • Jang, Eun-Kyung;Ji, Un;Ahn, Myeonghui
    • Journal of Korea Water Resources Association
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    • v.51 no.11
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    • pp.999-1009
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    • 2018
  • A Model Tree technique of data mining was applied to derive optimal equations for sediment discharge assessment based on the measured sediment data and then to evaluate stable channel design for Naesung Stream. The sediment discharge formula as a function of channel width, velocity, depth, slope and median grain diameter which was developed by a Model Tree technique with sediment discharge data measured in Korean River had a high goodness-of-fit between measured and calculated results. In case of the sediment discharge formula as a function of channel width, velocity, depth and median grain diameter which was developed by a Model Tree technique with sediment discharge data only measured in Naesung Stream represented the highest goodness-of-fit. Two types of sediment discharge formulas were applied to evaluate stable channel analysis for Yonghyeol Station of Naesung Stream. As a result, bed erosion was expected in the study section compared to the current section. It was also presented that the be slope might be changed to be a milder slope than the current slope to reach equilibrium condition in the long term.