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Evaluation on the Properties of Mortar using Waste Shells for Partical Replacement of Fine Aggregate (패각류를 잔골재 대체재로 사용한 모르터의 기초물성 평가)

  • Kim, Ji-Hyun;Cho, Kwang-Hyun;Lee, Jae-Yong;Chung, Chul-Woo
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2013.11a
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    • pp.148-149
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    • 2013
  • Recently, the construction industry in South Korea, has experienced many difficulties in lack of supply with construction materials. Since waste shells can be possibly used as replacement materials of fine aggregate, the successful application can resolve, to some extent at least, the economic problems and environmental problems. In this research, the basic physical properties of the mortar which was used as fine aggregate substitute (clam, cockle, manila clam, oyster) were evaluated. According to the experimental results, the absorption rate and compressive strength of samples with various shells were equivalent to that of plain mortar. The mortar which replaced 25% of oyster shell with sand showed approximately 30% lower compressive strength and twice as much absorption as plain mortar. It was found that waste shells can be used as replacement materials of fine aggregate, but the oyster shell requires further experimental works in order for its successful application.

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A RLS-based Convergent Algorithm for Driving Characteristic Classification for Personalized Autonomous Driving (자율주행 개인화를 위한 순환 최소자승 기반 융합형 주행특성 구분 알고리즘)

  • Oh, Kwang-Seok
    • Journal of the Korea Convergence Society
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    • v.8 no.9
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    • pp.285-292
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    • 2017
  • This paper describes a recursive least-squares based convergent algorithm for driving characteristic classification for personalized autonomous driving. Recently, various researches on autonomous driving technology have been conducted for level 4 fully autonomous driving. In order for commercialization of the autonomous vehicle, personalized autonomous driving is required to minimize passenger's insecureness to the autonomous vehicle. To address this problem. this study proposes mathematical model that represents driving characteristics and recursive least-squares based algorithm that can estimate the defined characteristics. The actual data of two drivers has been used to derive driving characteristics and the hypothesis testing method has been used to classify two drivers. It is shown that the proposed algorithms can derive driving characteristics and classify two drivers reasonably.

Analysis of Wildlife Moving Route with Landscape Characteristics (경관의 특성에 따른 동물의 이동경로에 관한 연구)

  • Lee, Dong-Kun;Park, Chan;Song, Won-Kyong
    • Journal of Environmental Impact Assessment
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    • v.17 no.2
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    • pp.133-141
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    • 2008
  • The loss, alteration, and fragmentation of habitat have led to a reduction of biodiversity. The growing awareness of the negative effects of habitat fragmentation on natural systems has resulted in conservation strategy that is concerned with not only population and habitat level but also ecosystem and landscape level. Especially, ecological network to link core areas or major habitat patches is one of the most important issues. Recently, landscape connectivity is increasingly used in decision making for fragmented landscape management in order to conserve the biodiversity in the regional scale. The objective of this study was to find potential forest as a ecological corridor in Go-yang city, Gyung-gi province using cost-distance modelling method that can measure connectivity based on animal movement. 'Least cost-distance' modelling based on functional connectivity can be useful to establish ecological network and biodiversity conservation plan. This method calculates the distance modified with the cost to move between habitat patches based on detailed geographical information on the landscape as well as behavioural aspects of the animal movement. The least cost-distance models are based on two biologically assumptions: (1) dispersers have complete knowledge of their surroundings, and (2) they do select the least cost route from this information. As a result of this study, we can find wildlife moving route for biodiversity conservation. The result is very useful for long-term aspect of biodiversity conservation plan in regional scale, because this is reflection of geographical information and behavioural aspects of the animal movement.

On Confidence Intervals of Robust Regression Estimators (로버스트 회귀추정에 의한 신뢰구간 구축)

  • Lee Dong-Hee;Park You-Sung;Kim Kee-Whan
    • The Korean Journal of Applied Statistics
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    • v.19 no.1
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    • pp.97-110
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    • 2006
  • Since it is well-established that even high quality data tend to contain outliers, one would expect fat? greater reliance on robust regression techniques than is actually observed. But most of all robust regression estimators suffers from the computational difficulties and the lower efficiency than the least squares under the normal error model. The weighted self-tuning estimator (WSTE) recently suggested by Lee (2004) has no more computational difficulty and it has the asymptotic normality and the high break-down point simultaneously. Although it has better properties than the other robust estimators, WSTE does not have full efficiency under the normal error model through the weighted least squares which is widely used. This paper introduces a new approach as called the reweighted WSTE (RWSTE), whose scale estimator is adaptively estimated by the self-tuning constant. A Monte Carlo study shows that new approach has better behavior than the general weighted least squares method under the normal model and the large data.

The analysis of style of hats in men's fashion collection (남성 패션 컬렉션에 나타난 모자 스타일 특성 분석)

  • Suh, DongAe
    • The Research Journal of the Costume Culture
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    • v.20 no.6
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    • pp.826-837
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    • 2012
  • Recently, hats have been used more frequently as an accessory, contributing to the general image of clothes in men's collections. This study compared and analyzed the frequency and styles of hat usage in men's brand collections according to the collections' images. Types of hats and their frequency of usage in men's clothes were analyzed among 857 collections from 74 brands between S/S 2006 and F/W 2012. This study also examined the relationship between clothes image and type of hats used. Hats were used in 622 out of 857 collections, and 24 different types of hats were used. In 67 collections, hats were used in at least 71% of clothes. The most frequently used hat was the fedora, followed in frequency by the beanie, cap, bowler, and high hat. The styles of hats in collections varied depending on seasons. In S/S season collections, fedoras were often used, while beanies were more common during the F/W season. This study analyzed styles of hats used in formal, casual, uniformed, and deformed images. Beanies and fedoras were frequently used for the formal image; fedoras, beanies, and plat caps were often used for the casual image; more than 3 types of hats were used together for the uniformed image; and design hats and hats in various styles were used for the deformed image. The results show that hats of various styles were used in collections to express the image of clothes.

Data Deduplication Method using PRAM Cache in SSD Storage System (SSD 스토리지 시스템에서 PRAM 캐시를 이용한 데이터 중복제거 기법)

  • Kim, Ju-Kyeong;Lee, Seung-Kyu;Kim, Deok-Hwan
    • Journal of the Institute of Electronics and Information Engineers
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    • v.50 no.4
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    • pp.117-123
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    • 2013
  • In the recent cloud storage environment, the amount of SSD (Solid-State Drive) replacing with the traditional hard disk drive is increasing. Management of SSD for its space efficiency has become important since SSD provides fast IO performance due to no mechanical movement whereas it has wearable characteristics and does not provide in place update. In order to manage space efficiency of SSD, data de-duplication technique is frequently used. However, this technique occurs much overhead because it consists of data chunking, hasing and hash matching operations. In this paper, we propose new data de-duplication method using PRAM cache. The proposed method uses hierarchical hash tables and LRU(Least Recently Used) for data replacement in PRAM. First hash table in DRAM is used to store hash values of data cached in the PRAM and second hash table in PRAM is used to store hash values of data in SSD storage. The method also enhance data reliability against power failure by maintaining backup of first hash table into PRAM. Experimental results show that average writing frequency and operation time of the proposed method are 44.2% and 38.8% less than those of existing data de-depulication method, respectively, when three workloads are used.

Performance Improvement and Power Consumption Reduction of an Embedded RISC Core

  • Jung, Hong-Kyun;Jin, Xianzhe;Ryoo, Kwang-Ki
    • Journal of information and communication convergence engineering
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    • v.10 no.1
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    • pp.78-84
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    • 2012
  • This paper presents a branch prediction algorithm and a 4-way set-associative cache for performance improvement of an embedded RISC core and a clock-gating algorithm with observability don’t care (ODC) operation to reduce the power consumption of the core. The branch prediction algorithm has a structure using a branch target buffer (BTB) and 4-way set associative cache that has a lower miss rate than a direct-mapped cache. Pseudo-least recently used (LRU) policy is used for reducing the number of LRU bits. The clock-gating algorithm reduces dynamic power consumption. As a result of estimation of the performance and the dynamic power, the performance of the OpenRISC core applied to the proposed architecture is improved about 29% and the dynamic power of the core with the Chartered 0.18 ${\mu}m$ technology library is reduced by 16%.

Power System State Estimation Using Parallel PSO Algorithm based on PC cluster (PC 클러스터 기반 병렬 PSO 알고리즘을 이용한 전력계통의 상태추정)

  • Jeong, Hee-Myung;Park, June-Ho;Lee, Hwa-Seok
    • Proceedings of the KIEE Conference
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    • 2008.07a
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    • pp.303-304
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    • 2008
  • For the state estimation problem, the weighted least squares (WLS) method and the fast decoupled method are widely used at present. However, these algorithms can converge to local optimal solutions. Recently, modern heuristic optimization methods such as Particle Swarm Optimization (PSO) have been introduced to overcome the disadvantage of the classical optimization problem. However, heuristic optimization methods based on populations require a lengthy computing time to find an optimal solution. In this paper, we used PSO to search for the optimal solution of state estimation in power systems. To overcome the shortcoming of heuristic optimization methods, we proposed parallel processing of the PSO algorithm based on the PC cluster system. the proposed approach was tested with the IEEE-118 bus systems. From the simulation results, we found that the parallel PSO based on the PC cluster system can be applicable for power system state estimation.

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Regeneration of solid phase filter by chemical cleaning

  • Byung-Dae Lee
    • Journal of the Korean Applied Science and Technology
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    • v.41 no.1
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    • pp.19-26
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    • 2024
  • Recently, separation membranes have been applied to fields such as water supply, sewage treatment, gray water reuse, and air pollution control. Chemical cleaning technology is attracting attention among the methods of reusing these expensive separation membranes. It was found that the separation membrane could be regenerated using chemical cleaning. Specifically, it was found that the use time of the separation membranes regenerated by chemical cleaning was sustainable for more than 1,700 hours. Additionally, it was found that the flux recovery ratio after chemical cleaning was maintained at least 60%. In addition, the flux recovery ratio of HYDREX 4710, an organic membrane cleaner, and 4703, an inorganic membrane cleaner, was 76% and 62%, respectively, showing the highest flux recovery ratio among the chemicals used. Considering that the target raw water of this study is biological secondary treatment water, it was suggested that chemical cleaning could be actively used to regenerate separation membranes in future water treatment.

Design and Evaluation of a Web Cache Architecture for Audio-On-Demand Systems (주문형 오디오 시스템을 위한 웹 캐시 구조의 설계 및 평가)

  • Lee, Tae-Won;Shim, Ma-Ro;Bae, Jin-Uk;Lee, Suk-Ho
    • Journal of KIISE:Databases
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    • v.27 no.2
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    • pp.209-215
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    • 2000
  • In the on-demand services like AOD(Audio On Demand) over the internet, existing operating systems cannot serve repeatedly requested data efficiently. This paper proposes a web cache architecture. It predicts the songs to be requested in near future, based on the intervals between the requests in the past on the same song and keeps the songs in the web cache. For the replacement strategy of the web cache, LFRR(Least Frequently Requested Recently) is proposed. LFRR replaces the song that has less probability to be requested in near future. The average of the intervals between the requests in the past and the new request is used as the probability of the requests. It is more likely to be requested in near future as the average is less. The web cache decreases the number of disk access extremely, and support to serve more users with restricted resources. From the simulation result based on the data at the AOD site currently operating, it is shown that the high performance enhancement is achieved.

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