• Title/Summary/Keyword: cold Processing

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Flash Memory Management Policy To Improve Wear-Leveling using Hot-and-Cold Flag (Hot-and-Cold 플래그를 이용한 플래시 메모리 균등 사용을 위한 관리 정책)

  • Jung, Phil-Young;Lee, Sung-Joon;Ahn, Kwang-Seon
    • Proceedings of the Korea Information Processing Society Conference
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    • 2003.05a
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    • pp.479-482
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    • 2003
  • 비휘발성 메모리인 플래시 메모리는 가볍고, 전력 소비가 적으며, 충격에 대한 저항이 강한 특징이 있다. 그러나 플래시 메모리는 세그먼트당 삭제 횟수가 최악의 경우 10만 번 정도로 제한된다는 단점이 있어서, 만약 삭제가 특정 세그먼트에 집중된다면 전체 수명이 단축되게 된다. 하지만, 플래시 메모리의 모든 세그먼트가 골고루 사용된다면 수명을 연장시킬 수 있다. 이를 위해 저장되는 자료의 유형을 파악하여 Hot, Cold 그리고 Lukewarm 이라는 그룹별로 분리해서 관리한다. 단순한 분리는 사용 횟수의 양극화를 가져오지만, 양극화된 세그먼트에 반대 유형의 자료를 할당하고 관리하면 전체 세그먼트의 사용률을 균등하게 할 수 있다. 이를 위해, 쓰기와 클리닝 작업 외에 양극화의 패턴을 통해 유형을 결정해주는 루틴을 포함하였다.

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Personalized Web Service Recommendation Method Based on Hybrid Social Network and Multi-Objective Immune Optimization

  • Cao, Huashan
    • Journal of Information Processing Systems
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    • v.17 no.2
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    • pp.426-439
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    • 2021
  • To alleviate the cold-start problem and data sparsity in web service recommendation and meet the personalized needs of users, this paper proposes a personalized web service recommendation method based on a hybrid social network and multi-objective immune optimization. The network adds the element of the service provider, which can provide more real information and help alleviate the cold-start problem. Then, according to the proposed service recommendation framework, multi-objective immune optimization is used to fuse multiple attributes and provide personalized web services for users without adjusting any weight coefficients. Experiments were conducted on real data sets, and the results show that the proposed method has high accuracy and a low recall rate, which is helpful to improving personalized recommendation.

Movie Recommendation Algorithm Using Social Network Analysis to Alleviate Cold-Start Problem

  • Xinchang, Khamphaphone;Vilakone, Phonexay;Park, Doo-Soon
    • Journal of Information Processing Systems
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    • v.15 no.3
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    • pp.616-631
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    • 2019
  • With the rapid increase of information on the World Wide Web, finding useful information on the internet has become a major problem. The recommendation system helps users make decisions in complex data areas where the amount of data available is large. There are many methods that have been proposed in the recommender system. Collaborative filtering is a popular method widely used in the recommendation system. However, collaborative filtering methods still have some problems, namely cold-start problem. In this paper, we propose a movie recommendation system by using social network analysis and collaborative filtering to solve this problem associated with collaborative filtering methods. We applied personal propensity of users such as age, gender, and occupation to make relationship matrix between users, and the relationship matrix is applied to cluster user by using community detection based on edge betweenness centrality. Then the recommended system will suggest movies which were previously interested by users in the group to new users. We show shown that the proposed method is a very efficient method using mean absolute error.

Plastic Forming of Rolling Bearing Steel Components (구름 베어링 부품의 소성가공)

  • 송복한;박창남
    • Transactions of Materials Processing
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    • v.12 no.2
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    • pp.83-87
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    • 2003
  • Current state of plastic processes of steel bearing parts is surveyed. According to the advances in plastic forming technologies and their great advantage to mass production, plastic processes are adopted in manufacturing majority of bering parts. The rings are forged or ring rolled and the rolling elements, i.e, balls or rollers are cold formed before fine machining. Bearing's steel retainers are mainly press formed using cold rolled seel strips. Including the general explanation about above processes, some details of forging technology, control of forging temperature and after cooling process, and examples of computer simulation are described.

A Study of Preventing Chevron Crack in Cold Extrusion (냉간 압출시 Chevron Crack 방지에 대한 고찰)

  • 최영순;이정환
    • Transactions of Materials Processing
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    • v.6 no.3
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    • pp.221-226
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    • 1997
  • Chevron crack in cold extrusion has been studied in view of deformation conditions and material characteristics. There is V formed chevron crack is occasionally occurred in core part of shaft by multistage free extrusion. Although many research results were reported and theoretical analyses were accompanied, in this study we discussed practical method to prevent chevron crack in the field of working conditions and material characteristics. We have found that chevron crack is eliminated under condition of high hydrostatic state in deformation and decreased segregation, refinement of micro structure of materials.

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Vacuum Cooling System and Their Use (진공냉각장치와 그 이용)

  • 김명환;김경근;박형진
    • Journal of Advanced Marine Engineering and Technology
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    • v.19 no.4
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    • pp.7-16
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    • 1995
  • This article describes the working prnciple, structure and main characteristics of vacuum coolers for vegetables, and gives concrete examples of vacuum coolers that srebeing put to practical use. In particular, newly-developed cavuum coolers with cold storage, utilizing night-time electricity, are focused upon. Processing plants for vegetables, cold-storage rooms and vacuum cooling devices were investigated as possible application of vacuum cooling technology.

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Study on the Cold Formability of Drawn Non-heat Treated Steels (신선 가공된 열처리 생략강의 냉간 성형성에 대한 연구)

  • 박경수;박용규;이덕락;이종수
    • Transactions of Materials Processing
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    • v.12 no.4
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    • pp.364-369
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    • 2003
  • Non-heat treated steels are attractive in the steel-wire industry since the spheroidization and quenching-tempering treatment are not involved during the processing. However, non-heat treated steels should satisfy high strength and good formability without performing heat treatment. Therefore, it is important to investigate optimum materials showing a good combination of strength and formability after the drawing process. In this study, three different steels such as dual phase steel, low-Si steel, and ultra low carbon bainitic steel were used to study their mechanical properties and the cold formability. The cold formability of three steels was investigated by estimating the deformation resistance and the forming limit. The deformation resistance was estimated by calculating the deformation energy, and the forming limit was evaluated by measuring the critical strain revealing crack initiation at the notch tip of the specimens. The results showed that deformation resistance was the lowest in the low-Si steel, and the forming limit strains of ultra low carbon bainitic steel and low-Si steel were higher than that of commercial SWRCH45F steel.

Manufacturing of Cold-rolled TRIP Steel by Reversion Process (역변태에 의한 냉연 TRIP강의 제조기술)

  • 진광근;정진환;이규영
    • Proceedings of the Korean Society for Technology of Plasticity Conference
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    • 1999.08a
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    • pp.356-365
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    • 1999
  • The present study is aimed at developing the TRIP(transformation induced plasticity) aided high strength low carbon steel using reversion process. An excellent combination of elongation over 40% and tensile strength abut 100kgf/$\textrm{mm}^2$ achieved in processing of 0.15C-0.5 Si-6Mn steel by slow heating to intercritial temperature region and accelerated cooling into room temperature. This good combination is caused by TRIP phenomena of retained austenite in steels during deformation. The stability of retained austenite is very important for the good ductility and it depends on the diffusion of carbon and manganeses during heat treatment. The accelerated cooling after holding at annealing temperature retards the formation of pearlite and provides the carbon enrichment in retained austenite in steel, resulting in the increase in elongation of the cold-rolled TRIP steel. On the other hand, heat treating the steel at 600$^{\circ}C$ for 5 hour before cold rolling increases elongation but reduces the amount of retained austenite after reversion processing. It is accounted that the heat treating is effective for the increase in the stability of retained austenite.

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Prediction of Hardness for Cold Forging Manufacturing through Machine Learning (기계학습을 활용한 냉간단조 부품 제조 경도 예측 연구)

  • K. Kim;J-.G. Park;U. R. Heo;Y. H. Lee;D. H. Chang;H. W. Yang
    • Transactions of Materials Processing
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    • v.32 no.6
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    • pp.329-334
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    • 2023
  • The process of heat treatment in cold forging is an essential role in enhancing mechanical properties. However, it relies heavily on the experience and skill of individuals. The aim of this study is to predict hardness using machine learning to optimize production efficiency in cold forging manufacturing. Random Forest (RF), Gradient Boosting Regressor (GBR), Extra Trees (ET), and ADAboosting (ADA) models were utilized. In the result, the RF, GBR, and ET models show the excellent performance. However, it was observed that GBR and ET models leaned significantly towards the influence of temperature, unlike the RF model. We suggest that RF model demonstrates greater reliability in predicting hardness due to its ability to consider various variables that occur during the cold forging process.

Quality Evaluation of Pork with Various Freezing and Thawing Methods

  • Ku, Su Kyung;Jeong, Ji Yun;Park, Jong Dae;Jeon, Ki Hong;Kim, Eun Mi;Kim, Young Boong
    • Food Science of Animal Resources
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    • v.34 no.5
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    • pp.597-603
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    • 2014
  • In this study, the physicochemical and sensory quality characteristics due to the influence of various thawing methods on electro-magnetic and air blast frozen pork were examined. The packaged pork samples, which were frozen by air blast freezing at $-45^{\circ}C$ or electro-magnetic freezing at $-55^{\circ}C$, were thawed using 4 different methods: refrigeration ($4{\pm}1^{\circ}C$), room temperature (RT, $25^{\circ}C$), cold water ($15^{\circ}C$), and microwave (2450 MHz). Analyses were carried out to determine the drip and cooking loss, water holding capacity (WHC), moisture content and sensory evaluation. Frozen pork thawed in a microwave indicated relatively less thawing loss (0.63-1.24%) than the other thawing methods (0.68-1.38%). The cooking loss after electro-magnetic freezing indicated 37.4% by microwave thawing, compared with 32.9% by refrigeration, 36.5% by RT, and 37.2% by cold water in ham. The thawing of samples frozen by electro-magnetic freezing showed no significant differences between the methods used, while the moisture content was higher in belly thawed by microwave (62.0%) after electro-magnetic freezing than refrigeration (54.8%), RT (61.3%), and cold water (61.1%). The highest overall acceptability was shown for microwave thawing after electro-magnetic freezing but there were no significant differences compared to that of the other samples.