• Title/Summary/Keyword: SFFS

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PC-based Controller for Industrial Solid Freeform Fabrication System (산업용 SFFS (Solid Freeform Fabrication System)을 위한 PC 기반 제어기)

  • 박남수;황면중;이두용
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2004.10a
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    • pp.73-77
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    • 2004
  • This paper presents a PC-based controller of industrial SFFS(Solid Freeform Fabrication System). The SFFS has multiple sub-controllers for the building room, the powder room, the temperature, and the density of oxygen in the chambers. Hence the main PC-based controller should effectively and timely send commands to the sub-controllers, and monitor the overall SLS process. The required actuators and sensors are selected to optimize the overall performance of the SFFS.

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The Control of SFFS in the Office Environments and It's Integration

  • Kim, Jung-Su;Lee, Min-Cheol;Lee, Won-Hee;Kim, Dong-Soo
    • 제어로봇시스템학회:학술대회논문집
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    • 2005.06a
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    • pp.2164-2169
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    • 2005
  • SFFS(Solid Freeform Fabrication System) can quickly makes models and prototype parts from 3D computer-aided design (CAD) data. Three dimensional printing(3DP) is a kind of the solid freeform fabrication. The 3DP process slices the modeling data into the 50-200um along to z axis. And we pile the powder and make the manufactures. A manufacture is made by the SFFS has the precision of the 50um. Therefore the x-y table of SFFS to move a printhead must be the system that has a high speed and accuracy. So we proposed the SMCSPO algorithm for SFFS. The major contribution is the design of a robust observer for estimating the state and the perturbation of the timing belt system, which is combined with a robust controller. The control performance of the proposed algorithm is compared with PD control by the simulation and the experiment. The control algorithm of the SFFS is presented in the office environment. The system between control system and printhead for the SFFS is also integrated

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A Study of SFFS for Office Type using Three-dimensional Printing Process (3DP 공정을 이용한 오피스용 임의형상 제작시스템 에 관한 연구 (SFFS))

  • 이원희;김동수;이택민
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2004.10a
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    • pp.1128-1131
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    • 2004
  • SFF(solid freeform fabrication) is another name of RP(rapid prototyping). The SFFS for office type wishes to develop system that can produce small object such as hand phone, cup, accessory etc. with high speed, and also intend suitable system in office environment by compact design, and buy easily by inexpensive price. As can manufacture high speed in existent SFF process technology, representative process that have competitive power in price is 3DP (three dimensional printing) technology. The 3DP technology is way to have general two dimensional printing technology and prints to three dimension, is technology that make three-dimensional solid freeform that want binder doing jetting selectively on powder through printer head. We designed and manufactured SFFS for office based on 3DP process technology design and manufactured, and composed head system so that use 3 printer heads at the same time to improve the fabrication speed of system. We used printer head of INCJET company and cartridge used HP45 series model who can buy easily in general city. And we directly fabricated three dimensional solid freeform using developed SFFS for office type.

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Development of Digital 3D Real Object Duplication System and Process Technology (디지털 3차원 실물복제기 시스템 및 공정기술 개발)

  • Lee Won-Hee;Ahn Young-Jin;Jang Min-Ho;Choi Kyung-Hyun;Kim Dong-Soo
    • Journal of the Korean Society for Precision Engineering
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    • v.23 no.4 s.181
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    • pp.183-190
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    • 2006
  • Digital 3D Real Object Duplication System (RODS) consists of 3D Scanner and Solid Freeform Fabrication System (SFFS). It is a device to make three-dimensional objects directly from the drawing or the scanning data. In this research, we developed an office type SFFS based on Three Dimensional Printing Process and an industrial SFFS using Dual Laser. An office type SFFS applied sliding mode control with sliding perturbation observer (SMCSPO) algorithm for control of this system. And we measured process variables about droplet diameter measurement and powder bed formation etc. through experiments. In case of industrial type SFFS, in order to develop more elaborate and speedy system for large objects than existing SLS process, this study applies a new Selective Dual-Laser Sintering (SDLS) process and 3-axis Dynamic Focusing Scanner for scanning large area instead of the existing f lens. In this process, the temperature has a great influence on sintering of the polymer. Also the laser parameters are considered like that laser beam power, scan speed, and scan spacing. Now, this study is in progress to evaluate the effect of experimental parameters on the sintering process.

Feature Selection Algorithm for Intrusions Detection System using Sequential Forward Search and Random Forest Classifier

  • Lee, Jinlee;Park, Dooho;Lee, Changhoon
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.11 no.10
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    • pp.5132-5148
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    • 2017
  • Cyber attacks are evolving commensurate with recent developments in information security technology. Intrusion detection systems collect various types of data from computers and networks to detect security threats and analyze the attack information. The large amount of data examined make the large number of computations and low detection rates problematic. Feature selection is expected to improve the classification performance and provide faster and more cost-effective results. Despite the various feature selection studies conducted for intrusion detection systems, it is difficult to automate feature selection because it is based on the knowledge of security experts. This paper proposes a feature selection technique to overcome the performance problems of intrusion detection systems. Focusing on feature selection, the first phase of the proposed system aims at constructing a feature subset using a sequential forward floating search (SFFS) to downsize the dimension of the variables. The second phase constructs a classification model with the selected feature subset using a random forest classifier (RFC) and evaluates the classification accuracy. Experiments were conducted with the NSL-KDD dataset using SFFS-RF, and the results indicated that feature selection techniques are a necessary preprocessing step to improve the overall system performance in systems that handle large datasets. They also verified that SFFS-RF could be used for data classification. In conclusion, SFFS-RF could be the key to improving the classification model performance in machine learning.

A Development of Constant-Speed Position Controller for Solid Freeform Fabrication System (임의형상가공시스템을 위한 정속위치제어기 개발)

  • 고민국;김승우
    • Proceedings of the IEEK Conference
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    • 2002.06e
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    • pp.91-94
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    • 2002
  • SFFS(Solid Freeform Fabrication System) is commercializing to rapid prototyping concept in foreign some corporations including the U.S.A, have much technological problems yet and need new mode for agile prototyping. In this paper, we design algorithm that the cutting path of laser beam, on the SFFS(Solid Freeform Fabrication System), is controlled with constant speed. The designed algorithm for constant-speed path control is implemented and experimented in the CAFL$\^$VM/ (Computer Aided Fabrication of Lamination for Various Material) system, the new SFFS which was developed in this paper.

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High Speed and Accuracy Control of Timing Belt System for SFFS of Office (오피스용 3 차원 실물 복제기를 위한 타이밍 벨트 시스템의 고속.고 정밀 제어)

  • 이현정;김정수;이민철;김동수;이원희
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2004.10a
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    • pp.339-342
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    • 2004
  • The x-y table of the SFFS to move a printer head must be the system that has a high speed and accuracy. So we propose the SMCSPO algorithm on the timing belt system. The major contribution is the design of a robust observer for the state and the perturbation of the timing belt system, which is combined with a robust controller. The control performance of the proposed algorithm is compared with PD control by the experiments. The results of SMCSPO algorithm showed more accuracy and better performance than PD control. Therefore we may apply the algorithms to a high speed and accuracy control for SFFS.

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Physicochemical Characteristics of Beef Jerky Cured with Salted-fermented Anchovy and Shrimp

  • Kim, Gap-Don;Go, Gwang-Woong;Lim, Hyun-Jung;Jung, Eun-Young;Seo, Hyun-Woo;Jeong, Jin-Yeon;Joo, Seon-Tea;Yang, Han-Sul
    • Food Science of Animal Resources
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    • v.34 no.1
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    • pp.99-105
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    • 2014
  • The aim of this study is to evaluate the availability of salted and fermented fish (SFF) including salted and fermented anchovy (SFA) and shrimp (SFS) as a marinade of beef jerky. In curing solutions, half (SFA 1 and SFS 1) or whole (SFA 2 and SFS 2) salt-water was replaced with SFF juices. Higher water activity ($a_w$) was found in the beef jerky cured with SFFs than the control (C) (p<0.05). The SFFs had the effect of causing a decrease in hardness and an increase in cohesiveness (p<0.05). Among the treatment samples, springiness was the highest in SFA2 and SFS2 (p<0.05) and the lowest values of Warner-Bratzler shear force were found in SFA1 and SFA2 (p<0.05). The SFFs also had the effect of increasing the flavor of the sensory properties; however, color measurements from both the instrumental surface color ($L^*$, $a^*$, $b^*$, chroma, and hue angle) and color of sensory evaluation were decreased by addition of SFFs (p<0.05). Therefore, we conclude the SFFs can improve the texture and sensory properties of the beef jerky. In particular, the SFS is a good ingredient for the curing solution. However, studies are still needed on improving the $a_w$, pH, and surface color of the beef jerky to apply the SFFs for making beef jerky.

Assessing the skill of seasonal flow forecasts from ECMWF for predicting inflows to multipurpose dams in South Korea (ECMWF 계절 기상 전망을 활용한 국내 다목적댐 유입량 예측의 성능 비교·평가)

  • Lee, Yong Shin;Kang, Shin Uk
    • Journal of Korea Water Resources Association
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    • v.57 no.9
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    • pp.571-583
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    • 2024
  • Forecasting dam inflows in the medium to long term is crucial for effective dam operation and the prevention of water-related disasters such as floods and droughts. However, the increasing frequency of extreme weather events due to climate change has made hydrological forecasting more challenging. Since 2000, seasonal weather forecasts, which provide predictions for weather variables up to about seven months ahead, and their hydrological interpretation, known as Seasonal Flow Forecasts (SFFs) have gained significant global interest. This study utilises seasonal weather forecasts from the European Centre for Medium-Range Weather Forecasts (ECMWF), converting them into inflow forecasts using a hydrological model for 12 multipurpose dams in South Korea from 2011 to 2020. We then compare the performance of these SFFs with the Ensemble Streamflow Prediction (ESP). Our results indicate that while SFFs are more effective for short-term predictions of 1-2 months, ESP outperforms SFFs for long-term predictions. Seasonally, the performance of SFFs is higher in October-November but lower from December to February. Moreover, our findings demonstrate that SFFs are highly effective in quantitatively predicting dry conditions, although they tend to underestimate inflows under wet conditions.