• Title/Summary/Keyword: RD Optimization

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Development of Pump/Motor Selection Program for Optimized Pump Decision of the Regional Water Supply Facilities (광역상수도용 펌프의 최적결정을 위한 펌프/모터 선정 프로그램 개발)

  • Roh, Hyung-Woon;Kim, Jae-Soo;Park, Gil-Moon;Suh, Sang-Ho;Lee, Young-Ho
    • 유체기계공업학회:학술대회논문집
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    • 2001.11a
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    • pp.171-176
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    • 2001
  • The Pump/Motor Selection Program for optimized selection of regional water supply facilities was developed based on a flowchart compiled from basic operational data, total head requirement, initial pump/motor specification selection etc.. This program was developed in Visual Basic. The program accepts, as in the flowchart, operational requirements of pumps and other system requirements and calculates specific speed based on flow rate, total head and na Then the calculated specific speed is used to select pump types and rpm Prior to determining likelihood of cavitation occurring at the calculated NPSH. Power requirement is then calculated for safe operation of pump to assist final pump selection. Test results of the program matches very closely to the design values of Paldang intake pump station(3rd stage) proving that the program can be used as an effective and practical aid for designing new regional water supply systems.

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CNN-based Fast Split Mode Decision Algorithm for Versatile Video Coding (VVC) Inter Prediction

  • Yeo, Woon-Ha;Kim, Byung-Gyu
    • Journal of Multimedia Information System
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    • v.8 no.3
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    • pp.147-158
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    • 2021
  • Versatile Video Coding (VVC) is the latest video coding standard developed by Joint Video Exploration Team (JVET). In VVC, the quadtree plus multi-type tree (QT+MTT) structure of coding unit (CU) partition is adopted, and its computational complexity is considerably high due to the brute-force search for recursive rate-distortion (RD) optimization. In this paper, we aim to reduce the time complexity of inter-picture prediction mode since the inter prediction accounts for a large portion of the total encoding time. The problem can be defined as classifying the split mode of each CU. To classify the split mode effectively, a novel convolutional neural network (CNN) called multi-level tree (MLT-CNN) architecture is introduced. For boosting classification performance, we utilize additional information including inter-picture information while training the CNN. The overall algorithm including the MLT-CNN inference process is implemented on VVC Test Model (VTM) 11.0. The CUs of size 128×128 can be the inputs of the CNN. The sequences are encoded at the random access (RA) configuration with five QP values {22, 27, 32, 37, 42}. The experimental results show that the proposed algorithm can reduce the computational complexity by 11.53% on average, and 26.14% for the maximum with an average 1.01% of the increase in Bjøntegaard delta bit rate (BDBR). Especially, the proposed method shows higher performance on the sequences of the A and B classes, reducing 9.81%~26.14% of encoding time with 0.95%~3.28% of the BDBR increase.

Design and Optimization of a Biomass Production System Combined with Wind Power Generation and LED on Marine Environment (LED가 결합된 야간풍력발전 활용을 포함한 해상환경 바이오매스 생산시스템의 최적 설계)

  • Hong, Gi Hoon;Cho, Sunghyun;Kang, Hoon;Park, Jeongpil;Kim, Tae-Ok;Shin, Dongil
    • Journal of the Korean Institute of Gas
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    • v.19 no.2
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    • pp.74-82
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    • 2015
  • Carbon dioxide was designated as one of greenhouse gases that cause global warming. Among various ways to solve the $CO_2$ emission issue, the 3rd-generation biomass (algae) production is considered as a viable method to reduce $CO_2$ in the atmosphere. In this research, we propose a design of an innovative sustainable production system by utilizing the 3rd generation biomass in the environment of floating production storage and offloading (FPSO). Existing biomass production systems depend on the solar energy and they cannot continue producing biomass at night. Electricity produced from offshore wind farms also need an efficient way to store the energy through energy storage system (ESS) or deliver it real-time through power grid, both requiring heavy investment of capital. Thus, we design an offshore grid structure harnessing LED lights to supply the necessary light energy, by using the electricity produced from the wind farm, resulting in the maximized production of biomass and efficient use of wind farm energy. The final design integrates the biomass production system enhanced by LED lights with a wind power generation. The suggested NLP model for the optimal design, implemented in GAMS, would be useful for designing improved offshore biomass production systems combined with the wind farm.

Ad Planning Model by Comparison Challenge Approach in the e-Marketplace (e-Marketplace에서의 비교도전에 의한 광고계획 모델)

  • 이재규;이재원
    • Journal of Intelligence and Information Systems
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    • v.9 no.3
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    • pp.137-153
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    • 2003
  • Comparison shopping is the most popular functionality in the e-Marketplace. Most of their revenue has been generated kent the Internet advertisement, but the ad earning was declined as the ad costing per action method widespread. Seller less familiar to the customer shrinks from chances for advertising and exposing their products. So, we need an efficient methodology subject to the seller's ad budget and other constraints, and it also has to increase comparison broker's earning in the e-Marketplace. Our research proposed and developed an ad planning methodology using comparison challenge approach which can be applied by 3$^{rd}$ party comparison brokers. Comparison challenge planning is organized with challenge policy of competitor level, product level and specification level. With that policies and basic challenge propositions, we measure the quantified value of functional distance between the specifications of my product and competitor's product. My product challenges the comparison using the comparative ad format to the similar but inferior competitor's product based on quantified valuation. Comparison challenge planning system has two phases of comparative value generation and optimization. We developed a prototype system and applied it to the desktop PC market of five major manufacturers. Our performance was emphasized by comparing to other comparative ad methods such as random display method and minimum distance method..

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Fast Ultra-mode Selection Algorithm for H.264/AVC Video Coding with Low Complexity (저 복잡도의 H.264/AVC를 위한 고속 인트라 모드 선택 기법)

  • Kim, Jong-Ho;Jeong, Je-Chang
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.30 no.11C
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    • pp.1098-1107
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    • 2005
  • The emerging H.264/AVC video coding standard improves coding performance significantly by adopting many advanced techniques. This is achieved at the expense of great increasing encoder complexity. Specifically the intra prediction using RDO examines all possible combinations of coding modes, which depend on spatial directional correlation with adjacent blocks. For 4${\times}$4 luma blocks, there are 9 modes, and for 16${\times}$16 luma and 8${\times}$8 chroma blocks, there are 4 modes, respectively. Therefore the number of mode combinations for each macroblock is 592. This paper presents a method to reduce the RDO complexity using simple directional masks and neighboring modes. According to the proposed method, we reduce the number of mode combinations to 132 at the most. Experimental results show the proposed method reduces the encoding time up to $70\%$ with negligible loss of PSNR and bitrate increase compared to the H.264/AVC exhaustive search.

Bioprocess Control for Continuous Culture of Dunaliella Salina in Flat Panel Photobioreactor (평판형 광생물반응기의 Dunaliella Salina 연속배양을 위한 생물공정 제어)

  • Kim, Gwang Ho;Ahn, Dong-Gyu;Park, Jong Rak;Choi, Gang Hun;Kim, Jong Tye;Kim, Ki Won;Jeong, Sang Hwa
    • Journal of the Korean Society for Precision Engineering
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    • v.30 no.2
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    • pp.137-142
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    • 2013
  • The indiscriminate use of the fossil fuel has caused serious environmental pollutions such as the shortage of energy and global warming. Microalgae have being emphasized as $3^{rd}$ generation biomass which makes the carbon dioxide reduce effectively as well as produces the biofuel. Large scale production of microbial biomass by continuous culture is a quite challenging issue, because off-line optimization strategies of a microbial process utilizing a model-based scheme give rise to many difficult problems. In this paper, the static and simple control method which was able to be applied in time-variant growth environment and large scale of algae culture was studied. The significant disturbances in on-line measurement of cell density were reduced by Savitzky-Golay FIR smoothing filter. Dunaliella salina was cultivated continuously in a flat panel photobioreactor by the on-off control of the turbidostat process.

Value Chain Optimization in Timber Supply Chain: Case Study in Gangwon-do

  • Kang, Byongrho;Kim, Hyoungtae;Jang, Jaeyoung;Woo, Heesung;Woo, Jongchoon
    • Journal of Forest and Environmental Science
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    • v.34 no.4
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    • pp.304-312
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    • 2018
  • This study investigates to identify the impact factors of timber production cost on the relationship between production cost components and revenues generated by evaluating the entire timber supply chain. In this research, selected 13 logging zones as target areas and classified 14 forest production cost factors, six groups. Additionally, established 13 externalenvironmental factors with related stakeholders and forestry experts. And the BCR (Benefit Cost Ratio) method was then used to analyze the economics of each zone. Filled up a checklist and rated using 5 point scale for each target region, and extracted major cost factors for the production economy of the item. The analysis of major cost factors in the timber production revealed that wood grab equipment usage fee was the first ranked and forest trees purchase cost was ranked in the $2^{nd}$Also, the $3^{rd}$ranking was logging expenses, and transport cost, which accounted for 84% of the total cost, was ranked in the $4^{th}$. In addition, the rock land ratio, slope, timber payment (forest trees purchase cost), special timber, ratio of timber, DBH (Diameter at Breast Height), and mixed forest ratio were the factors that most affected the timber supply chain cost.

In-Loop Selective Decontouring Algorithm in Video Coding (비디오 부호화 루프 내에서 의사 윤곽 오차의 선택적 제거 알고리즘)

  • Yoo, Ki-Won;Sohn, Kwang-Hoon
    • Journal of Broadcast Engineering
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    • v.15 no.5
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    • pp.697-702
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    • 2010
  • Contour artifact is known as the unintentional result of quantizing a flat area that has smooth gradients. In this letter, a decontouring algorithm is proposed to efficiently remove false contours that occur in typical block-based video coding applications. First, the algorithm goes through a refinement stage to determine candidate blocks probably having noticeable false contours with different kinds of features in a block. Then, pseudo-random noise masking is applied to those blocks to mitigate the contour artifacts. This block-based selective decontouring can efficiently remove the unnecessary processing of those blocks that have no false contour, which incidentally ensures a minor penalty in visual quality and computational complexity. The proposed algorithm was demonstrated, integrated into H.264/AVC, that visual quality can be significantly enhanced with an ignorable rate-distortion (RD) loss and an minor increase in computational complexity.

Fast Mode Decision Algorithm Using Efficient Block Skip Techniques for H.264 P Slices (효율적인 블록 스킵 기술들을 이용한 H.264에서의 고속 모드 결정 알고리즘)

  • Jo, Young-Sub;Jeong, Je-Chang
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.35 no.2C
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    • pp.193-202
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    • 2010
  • In this paper, we propose a fast algorithm that can reduce the complexity for inter mode decision of the H.264 encoder. The main idea consists of two techniques. The first one is the technique early terminating mode decision process. We focused on the skip and $16{\times}16$ mode because these modes occupies the largest portion in most of sequences. The second one is the technique skipping unnecessary $8{\times}8$ modes. The time consumption caused by the $8{\times}8$ mode is very considerable. Therefore if we can extract the unnecessary $8{\times}8$ mode calculation well, a large amount of time can be saved in total encoding process. The experimental results show that the proposed algorithm can achieve up to 43% speed up ratio with insignificant PSNR loss. The increase of total bits encoded is also not noticeable.

Optimization of shoot cultures and bioactive compound accumulation in Rosa rugosa during acclimatization

  • Jang, Hae-Rim;Park, Byung-Jun;Park, Seung-A;Pee, Ok-Ja;Park, So-Young;Paek, Kee-Yoeup
    • Journal of Plant Biotechnology
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    • v.43 no.1
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    • pp.104-109
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    • 2016
  • Rosa rugosa is a medicinal, ornamental, and edible plant native to Eastern Asian countries, including Korea, Japan, and China. The aim of this study was to establish a system for biomass production and secondary metabolite accumulation during in vitro culture and acclimatization of Rosa rugosa. The highest rate of multiple shoot proliferation was achieved with $8.8{\mu}M$ benzyladenine (BA) (83.3%). However, the number of shoots (14.4 per explant) at $4.4{\mu}M$ BA was higher than that at $8.8{\mu}M$ BA. Compared to BA, a combination of thidiazuron (TDZ) and indole butyric acid (IBA) exhibited significantly lower shoot induction, with only 50.0~79.2% and 4.2~16.7% relative shoot formation, respectively. During acclimatization, shoots were sampled every week and their total phenolic contents were analyzed. Among various growth factors, fresh weight showed the most dramatic increase from the 3rd week (88.0 mg/plant) to 4th week (132.7 mg/plant). Total phenolics and flavonoids contents were the highest at $1^{st}$ week of acclimatization. Depending on developmental stages, total phenolics and flavonoids contents were higher in 1-yr-old shoots grown ex vitro than in those of older field-grown or in vitro-grown plants. Amongst different ages of field grown plants, 6-year-old plants, the oldest in this study, showed the lowest content in total phenolics.