• Title/Summary/Keyword: 예측성능 개선

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Improvement of Working Surroundings in the Industrial Waste Incinerator (산업폐기물 소각플랜트의 작업환경개선)

  • Shon Byung-Hyun;Lee Gang-Woo
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.7 no.3
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    • pp.431-439
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    • 2006
  • A lot of particulate matter and an offensive odor are emitted during the operations of an industrial waste incinerator (IWI), especially pre_treatment and waste input processes. These pollutants affect the labor efficiency of an operator. Therefore, in this study. we have studied the improvement of working surroundings in the industrial waste incinerator by designing a new control system. A computational fluid dynamics has been used to find the diffusion flows of air pollutants (mainly particles and odor) to the working surroundings of the waste treatment complexes. The results obtained from the simulation analysis applied to the basic design on the points (and/or site) and types of pollution control devices. When pollutant control devices are constructed, the concentration of each pollutant at site 1 and 2 decreased about 83-97% for toluene, 48-72% for styrene, 75-87% for xylene, and 23-36% for ammonia, respectively. In addition, the PM-10 and TSP were decreased about 87% and 86% at site 3 (lower part of the waste input), 87% and 85% at site 4 (side part of the waste input), respectively. These indicated that the new control system had an excellent performance of particulate matter and odor removal and it could be applied to other waste treatment plant in place of an industrial waste incinerator.

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Method of Biological Information Analysis Based-on Object Contextual (대상객체 맥락 기반 생체정보 분석방법)

  • Kim, Kyung-jun;Kim, Ju-yeon
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2022.05a
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    • pp.41-43
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    • 2022
  • In order to prevent and block infectious diseases caused by the recent COVID-19 pandemic, non-contact biometric information acquisition and analysis technology is attracting attention. The invasive and attached biometric information acquisition method accurately has the advantage of measuring biometric information, but has a risk of increasing contagious diseases due to the close contact. To solve these problems, the non-contact method of extracting biometric information such as human fingerprints, faces, iris, veins, voice, and signatures with automated devices is increasing in various industries as data processing speed increases and recognition accuracy increases. However, although the accuracy of the non-contact biometric data acquisition technology is improved, the non-contact method is greatly influenced by the surrounding environment of the object to be measured, which is resulting in distortion of measurement information and poor accuracy. In this paper, we propose a context-based bio-signal modeling technique for the interpretation of personalized information (image, signal, etc.) for bio-information analysis. Context-based biometric information modeling techniques present a model that considers contextual and user information in biometric information measurement in order to improve performance. The proposed model analyzes signal information based on the feature probability distribution through context-based signal analysis that can maximize the predicted value probability.

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Application of Bayesian network for farmed eel safety inspection in the production stage (양식뱀장어 생산단계 안전성 조사를 위한 베이지안 네트워크 모델의 적용)

  • Seung Yong Cho
    • Food Science and Preservation
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    • v.30 no.3
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    • pp.459-471
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    • 2023
  • The Bayesian network (BN) model was applied to analyze the characteristic variables that affect compliance with safety inspections of farmed eel during the production stage, using the data from 30,063 cases of eel aquafarm safety inspection in the Integrated Food Safety Information Network (IFSIN) from 2012 to 2021. The dataset for establishing the BN model included 77 non-conforming cases. Relevant HACCP data, geographic information about the aquafarms, and environmental data were collected and mapped to the IFSIN data to derive explanatory variables for nonconformity. Aquafarm HACCP certification, detection history of harmful substances during the last 5 y, history of nonconformity during the last 5 y, and the suitability of the aquatic environment as determined by the levels of total coliform bacteria and total organic carbon were selected as the explanatory variables. The highest achievable eel aquafarm noncompliance rate by manipulating the derived explanatory variables was 24.5%, which was 94 times higher than the overall farmed eel noncompliance rate reported in IFSIN between 2017 and 2021. The established BN model was validated using the IFSIN eel aquafarm inspection results conducted between January and August 2022. The noncompliance rate in the validation set was 0.22% (15 nonconformances out of 6,785 cases). The precision of BN model prediction was 0.1579, which was 71.4 times higher than the non-compliance rate of the validation set.

A Method For Improvement Of Split Vector Quantization Of The ISF Parameters Using Adaptive Extended Codebook (적응적인 확장된 코드북을 이용한 분할 벡터 양자화기 구조의 ISF 양자화기 개선)

  • Lim, Jong-Ha;Jeong, Gyu-Hyeok;Hong, Gi-Bong;Lee, In-Sung
    • The Journal of the Acoustical Society of Korea
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    • v.30 no.1
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    • pp.1-8
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    • 2011
  • This paper presents a method for improving the performance of ISF coefficients quantizer through compensating the defect of the split structure vector quantization using the ordering property of ISF coefficients. And design the ISF coefficients quantizer for wideband speech codec using proposed method. The wideband speech codec uses split structure vector quantizer which could not use the correlation between ISF coefficients fully to reduce complexity and the size of codebook. The proposed algorithm uses the ordering property of ISF coefficients to overcome the defect. Using the ordering property, the codebook redundancy could be figured out. The codebook redundancy is replaced by the adaptive-extended codebook to improve the performance of the quantizer through using the ordering property, ISF coefficient prediction and interpolation of existing codebook. As a result, the proposed algorithm shows that the adaptive-extended codebook algorithm could get about 2 bit gains in comparison with the existing split structure ISF quantizer of AMR-WB (G.722.2) in the points of spectral distortion.

Time Dependent Chloride Transport Evaluation of Concrete Structures Exposed to Marine Environment (해안 환경 하에 있는 콘크리트 구조물의 시간의존적 염화물침투 평가)

  • Song, Ha-Won;Pack, Seung-Woo;Ann, Ki-Yong
    • Journal of the Korea Concrete Institute
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    • v.19 no.5
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    • pp.585-593
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    • 2007
  • This paper presents a model for durability evaluation of concrete structures exposed to marine environment, considering mainly a build-up of surface chloride $(C_s)$ as well as diffusion coefficient (D) and chloride threshold level $(C_{lim})$. In this study, time dependency of $C_s$ and D were extensively studied for more accurate evaluation of service life of concrete structures. An analytical solution to the Fick's second law was presented for prediction of chloride ingress for time varying $C_s$. For the time varying $C_s$, a refined model using a logarithm function for time dependent $C_s$ was proposed by the regression analysis, and averaging integrated values of the D with time over exposed duration were calculated and then used for prediction of the chloride ingress to consider time dependency of D. Durability design was also carried out for railway concrete structures exposed to marine environment to ensure 100 years of service life by using the proposed models along with the standard specification on durability in Korea. The proposed model was verified by the so-called performance-based durability design, which is widely used in Europe. Results show that the standard specification underestimates durability performances of concrete structures exposed to marine environment, so the cover depth design using current durability evaluation in the standard specifications is very much conservative. Therefore, it is found that utilizing proposed models considering time dependent characteristics of $C_s$ and D can evaluate service lift of concrete structures in marine environment more accurately.

An Efficient TCP Buffer Tuning Algorithm based on Packet Loss Ratio(TBT-PLR) (패킷 손실률에 기반한 효율적인 TCP Buffer Tuning 알고리즘)

  • Yoo Gi-Chul;Kim Dong-kyun
    • The KIPS Transactions:PartC
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    • v.12C no.1 s.97
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    • pp.121-128
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    • 2005
  • Tho existing TCP(Transmission Control Protocol) is known to be unsuitable for a network with the characteristics of high RDP(Bandwidth-Delay Product) because of the fixed small or large buffer size at the TCP sender and receiver. Thus, some trial cases of adjusting the buffer sizes automatically with respect to network condition have been proposed to improve the end-to-end TCP throughput. ATBT(Automatic TCP fluffer Tuning) attempts to assure the buffer size of TCP sender according to its current congestion window size but the ATBT assumes that the buffer size of TCP receiver is maximum value that operating system defines. In DRS(Dynamic Right Sizing), by estimating the TCP arrival data of two times the amount TCP data received previously, the TCP receiver simply reserves the buffer size for the next arrival, accordingly. However, we do not need to reserve exactly two times of buffer size because of the possibility of TCP segment loss. We propose an efficient TCP buffer tuning technique(called TBT-PLR: TCP buffer tuning algorithm based on packet loss ratio) since we adopt the ATBT mechanism and the TBT-PLR mechanism for the TCP sender and the TCP receiver, respectively. For the purpose of testing the actual TCP performance, we implemented our TBT-PLR by modifying the linux kernel version 2.4.18 and evaluated the TCP performance by comparing TBT-PLR with the TCP schemes of the fixed buffer size. As a result, more balanced usage among TCP connections was obtained.

A Research on Ship Hull Roughness : Estimation Method and Effect on Ship Performance (선박의 표면조도에 관한 연구 : 추정법 및 선박성능에 미치는 영향)

  • Kwon, Y.J.;Choo, D.K.
    • Journal of the Society of Naval Architects of Korea
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    • v.33 no.2
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    • pp.30-35
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    • 1996
  • It is well known that the improved methods of the estimation of the service power margin is necessary to design a optimum ship and to operate economically a ship. Unfortunately, most conventional methods of the predicting of the service power margin are not so accurate that attention should be payed to improve this. From this overview, it is importance with. the effects of waves, as recommended by the 15th and 16th International Towing Tank Conference in 1978 and l981. However the progress of research in this field is very slow mainly since it is taken so long time to take data about hull roughness according to ship ages. For instance, it would be taken 17 or 25 years to measure ideally the data for a ship. Moreover it would be also necessary to take data for many types of ships to lead a general solution. A relationship between roughness and ship age are studied in this paper considering full scale data. A comparison is also made between the effects of hull roughness and of weather at sea for the ship.

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Flexural and Shear Behavior of Reinforced Dual Concrete Beam (철근 이중 콘크리트 보의 휨 및 전단 거동)

  • Park Tae-Hyo;Park Jae-Min;Kim Hee-Dae
    • Journal of the Korea Concrete Institute
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    • v.17 no.3 s.87
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    • pp.401-409
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    • 2005
  • In this study, reinforced dual concrete beam (RDC beam) composed of steel fiber reinforced concrete (SFRC) in the tension part and normal strength concrete (NSC) in the compression and remaining part is proposed. It is the epochal structural system that improves the overall structural performances of beam by partially superseding the steel fiber reinforced concrete in the lower tension part of conventional reinforced concrete beam (RC beam). Flexural and shear tests are performed to prove the structural excellence of RDC beam in comparison with RC beam. An analytical method is proposed to understand the flexrual behavior and is compared to experimental results. And for shear behavior, experimental results are compared to empirical equations predicting the ultimate shear strength of full-depth fiber reinforced concrete beam to examine the behavior of RDC beam under shear. From this studies, it is proved that RDC beam has more superior structural performance than RC beam, and the analytical method for flexural behavior agrees well with experimental results, and the partial-depth fiber reinforcements have no noticeable effect on ultimate shear strength but it is considerably effective to control and prevent evolutions of crack.

Flexural Strength of PHC Pile Reinforced with Infilled Concrete, Transverse and Longitudinal Reinforcements (내부충전 콘크리트와 횡보강 및 축방향 철근으로 보강된 PHC 말뚝의 휨강도)

  • Bang, Jin-Wook;Hyun, Jung-Hwan;Lee, Bang-Yeon;Lee, Seung-Soo;Kim, Yun-Yong
    • Journal of the Korea Concrete Institute
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    • v.25 no.1
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    • pp.91-98
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    • 2013
  • The pre-tensioned spun high strength concrete (PHC) pile has poor load carrying capacity in shear and flexure, while showing excellent axial load bearing capacity. The purpose of this study is to evaluate the flexural performance of the concrete-infilled composite PHC (ICP) pile which is the PHC pile reinforced with infilled concrete, transverse and longitudinal reinforcement for the improvement of shear and flexural load carrying capacity. The ICP pile specimen was designed to make allowable axial compression and bending moment higher load bearing capacity than those determined through the investigation of abutment design cases. The allowable axial compression and bending moment of the ICP pile was obtained using the program developed for calculating the axial compression - bending moment interaction. Then, ICP pile specimens were manufactured and flexural tests were performed. From the test results, it was found that the maximum bending moment of the ICP pile was approximately 45% higher than that of the PHC pile and the safety factor of ICP pile design was about 4.5 when the allowable bending moment was determined to be 25% of the flexural strength.

Bio-Sensing Convergence Big Data Computing Architecture (바이오센싱 융합 빅데이터 컴퓨팅 아키텍처)

  • Ko, Myung-Sook;Lee, Tae-Gyu
    • KIPS Transactions on Software and Data Engineering
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    • v.7 no.2
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    • pp.43-50
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    • 2018
  • Biometric information computing is greatly influencing both a computing system and Big-data system based on the bio-information system that combines bio-signal sensors and bio-information processing. Unlike conventional data formats such as text, images, and videos, biometric information is represented by text-based values that give meaning to a bio-signal, important event moments are stored in an image format, a complex data format such as a video format is constructed for data prediction and analysis through time series analysis. Such a complex data structure may be separately requested by text, image, video format depending on characteristics of data required by individual biometric information application services, or may request complex data formats simultaneously depending on the situation. Since previous bio-information processing computing systems depend on conventional computing component, computing structure, and data processing method, they have many inefficiencies in terms of data processing performance, transmission capability, storage efficiency, and system safety. In this study, we propose an improved biosensing converged big data computing architecture to build a platform that supports biometric information processing computing effectively. The proposed architecture effectively supports data storage and transmission efficiency, computing performance, and system stability. And, it can lay the foundation for system implementation and biometric information service optimization optimized for future biometric information computing.