• Title/Summary/Keyword: Merge Lots

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Economic Valuation for The Available land in National and Public General Property (국.공유 일반재산 중 가용토지의 경제적 가치평가 - 칠곡군을 중심으로 -)

  • Lee, Ji-Soo;Lee, Seung-Wook;Hong, Won-Hwa
    • Spatial Information Research
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    • v.19 no.1
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    • pp.41-50
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    • 2011
  • In Chilgok, industrial complex and agro-industrial complex has facilitated with the population growth rate of 2.79% since 1995. And the city should be apparently required more additional land for agriculture and industrial complex due to the demands of developments. However, many experts has pointed out that utilization of national and public property might be declined recently because the property management office owns too many unnecessary idle lands. So the city is being faced with the necessity of establishing an efficient system for the management of available lands. Therefore, this study evaluated the economic value of available national and public land in Chilgok city. Rental or sale of economic value by separating the target has been also assessed. As a result, each town has totally different characteristics of available lands and the economic values and the numerical change of economic values can measure when merge lots.

An Efficient Complex Event Processing Algorithm based on Multipattern Sharing for Massive Manufacturing Event Streams

  • Wang, Jianhua;Lan, Yubin;Lu, Shilei;Cheng, Lianglun
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.13 no.3
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    • pp.1385-1402
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    • 2019
  • Quickly picking up some valuable information from massive manufacturing event stream usually faces with the problem of long detection time, high memory consumption and low detection efficiency due to its stream characteristics of large volume, high velocity, many variety and small value. Aiming to solve the problem above for the current complex event processing methods because of not sharing detection during the detecting process for massive manufacturing event streams, an efficient complex event processing method based on multipattern sharing is presented in this paper. The achievement of this paper lies that a multipattern sharing technology is successfully used to realize the quick detection of complex event for massive manufacturing event streams. Specially, in our scheme, we firstly use pattern sharing technology to merge all the same prefix, suffix, or subpattern that existed in single pattern complex event detection models into a multiple pattern complex event detection model, then we use the new detection model to realize the quick detection for complex events from massive manufacturing event streams, as a result, our scheme can effectively solve the problems above by reducing lots of redundant building, storing, searching and calculating operations with pattern sharing technology. At the end of this paper, we use some simulation experiments to prove that our proposed multiple pattern processing scheme outperforms some general processing methods in current as a whole.

The Efficient Merge Operation in Log Buffer-Based Flash Translation Layer for Enhanced Random Writing (임의쓰기 성능향상을 위한 로그블록 기반 FTL의 효율적인 합병연산)

  • Lee, Jun-Hyuk;Roh, Hong-Chan;Park, Sang-Hyun
    • The KIPS Transactions:PartD
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    • v.19D no.2
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    • pp.161-186
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    • 2012
  • Recently, the flash memory consistently increases the storage capacity while the price of the memory is being cheap. This makes the mass storage SSD(Solid State Drive) popular. The flash memory, however, has a lot of defects. In order that these defects should be complimented, it is needed to use the FTL(Flash Translation Layer) as a special layer. To operate restrictions of the hardware efficiently, the FTL that is essential to work plays a role of transferring from the logical sector number of file systems to the physical sector number of the flash memory. Especially, the poor performance is attributed to Erase-Before-Write among the flash memory's restrictions, and even if there are lots of studies based on the log block, a few problems still exists in order for the mass storage flash memory to be operated. If the FAST based on Log Block-Based Flash often is generated in the wide locality causing the random writing, the merge operation will be occur as the sectors is not used in the data block. In other words, the block thrashing which is not effective occurs and then, the flash memory's performance get worse. If the log-block makes the overwriting caused, the log-block is executed like a cache and this technique contributes to developing the flash memory performance improvement. This study for the improvement of the random writing demonstrates that the log block is operated like not only the cache but also the entire flash memory so that the merge operation and the erase operation are diminished as there are a distinct mapping table called as the offset mapping table for the operation. The new FTL is to be defined as the XAST(extensively-Associative Sector Translation). The XAST manages the offset mapping table with efficiency based on the spatial locality and temporal locality.

A New Face Detection Method using Combined Features of Color and Edge under the illumination Variance (컬러와 에지정보를 결합한 조명변화에 강인한 얼굴영역 검출방법)

  • 지은미;윤호섭;이상호
    • Journal of KIISE:Software and Applications
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    • v.29 no.11
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    • pp.809-817
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    • 2002
  • This paper describes a new face detection method that is a pre-processing algorithm for on-line face recognition. To complement the weakness of using only edge or rotor features from previous face detection method, we propose the two types of face detection method. The one is a combined method with edge and color features and the other is a center area color sampling method. To prevent connecting the people's face area and the background area, which have same colors, we propose a new adaptive edge detection algorithm firstly. The adaptive edge detection algorithm is robust to illumination variance so that it extracts lots of edges and breakouts edges steadily in border between background and face areas. Because of strong edge detection, face area appears one or multi regions. We can merge these isolated regions using color information and get the final face area as a MBR (Minimum Bounding Rectangle) form. If the size of final face area is under or upper threshold, color sampling method in center area from input image is used to detect new face area. To evaluate the proposed method, we have experimented with 2,100 face images. A high face detection rate of 96.3% has been obtained.

Data allocation and Replacement Method based on The Access Frequency for Improving The Performance of SSD (SSD의 성능향상을 위한 접근빈도에 따른 데이터 할당 및 교체기법)

  • Yang, Yu-Seok;Kim, Deok-Hwan
    • Journal of the Institute of Electronics Engineers of Korea CI
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    • v.48 no.5
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    • pp.74-82
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    • 2011
  • SSD has a limitation of number of erase/write cycles and does not allow in-place update unlike the hard disk because SSD is composed of an array of NAND flash memory. Thus, FTL is used to effectively manage SSD of having different characteristics from traditional disk. FTL has page, block, log-block mapping method. Among then, when log-block mapping method such as BAST and FAST is used, the performance of SSD is degraded because frequent merge operations cause lots of pages to be copied and deleted. This paper proposes a data allocation and replacement method based on access frequency by allocating PRAM as checking area of access frequency, log blocks, storing region of hot data in SSD. The proposed method can enhance the performance and lifetime of SSD by storing cold data to flash memory and storing log blocks and frequently accessed data to PRAM and then reducing merge and erase operations. Besides, a data replacement method is used to increase utilization of PRAM which has limitation of capacity. The experimental results show that the ratio of erase operations of the proposed method is 46%, 38% smaller than those of BAST and FAST and the write performance of the proposed method is 34%, 19% higher than those of BAST and FAST, and the read performance of the proposed method is 5%, 3% higher than those of BAST and FAST, respectively.

Improvement of ALINEA Model Using Speed (속도를 이용한 ALINEA 모델 보완에 관한 연구)

  • Cho, Han-Seon;Lee, Jun;Lee, Ho-Won;Kim, Eun-Mi
    • Journal of Korean Society of Transportation
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    • v.26 no.5
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    • pp.73-80
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    • 2008
  • ALINEA algorithm, which is one of the best on-ramp metering algorithms, was designed to control the traffic volume from on-ramp in order to maintain the optimal occupancy rate of the detectors installed downstream of the merge area. But, the reliability of occupancy rate estimated from the loop detectors, which are used most commonly in Korea, is relatively lower than other parameters such as speed and volume. Moreover, because occupancy rate depends on the length of loop detectors and site, lots of calibration work is required whenever they are installed in order to estimate the occupancy rate. Therefore, there exists room for improvement of ALINEA algorithm because only occupancy rate having some problems is considered as a control parameter in ALINEA algorithm. Practically it is difficult to measure or perceive the occupancy rate for traffic engineers and drivers. On the other hand, speed can be good alternative which can overcome the defect induced by using occupancy. In this study, occupancy based ALINEA algorithm is converted to speed based ALINEA assuming the linear relationship between density and speed.