• The Journal of Korean Institute of Electromagnetic Engineering and Science
• /
• v.13 no.8
• /
• pp.804-810
• /
• 2002

The code division multiple access(CDMA) system capacity is limited by the amount of interference of the system. To reduce the unnecessary interference, this paper proposes optimized cell identification codes for site selection diversity transmission(SSDT) power control in wideband code division multiple access system of third generation partnership project(3GPP). The main objective of SSDT power control is to transmit on the downlink from the primary cell, and thus reducing the interference caused by the multiple transmission. In order to select a primary cell, each cell is assigned a temporary identification(ID) and user equipment(UE) periodically informs a primary cell ID to the connecting cells during soft handover. The non-primary cells selected by UE do not transmit the dedicated physical data channel(DPDCH) to reduce the interference. A major issue with the SSDT technology is the impact of uplink symbol errors on its performance. These errors can corrupt the primary ID code and this may lead to wrong decoding in the base station receivers. The proposed SSDT cell ID codes are designed to minimize the problem and to be easily decoded using simple fast Hadamard transformation(FHT) decoder.

• Proceedings of the Korea Database Society Conference
• /
• 1998.09a
• /
• pp.509-524
• /
• 1998

정보시스템 개발노력의 상당수는 실패로 끝나고 있다. 최근 통계에 따르면 정보시스템 개발 프로젝트의 반은 실패로 끝난다고 한다［kaplan, 1998］. 이와 같은 높은 실패율은 시스템 개발을 위한 노력을 체계적으로 투입하지 못하고 개발 프로젝트를 관리하기 위한 노력을 단위프로젝트 차원에서만 집중시키는데서 연유한다고 생각된다. 다시 말해 장기적인 관점에서 개발조직의 역량 향상이라는 보다 근본적인 목표를 간과하고 있는 것이다. 이러한 점에 착안하여 소프트웨어 엔지니어링 분야에서는 정보시스템 개발과 관련'한 개발 조직의 능력을 향상시키기 위한 다양한 접근방법이 제시되고 있다. 개발조직의 개발 프로세스 성숙도를 진단하기 위한 측정도구로 개발된 카네기멜론대학의 CMM(Capability Maturity Model)과 ISO 에서 정의한 표준인 SPICE (Software Process Improvement and Capability dEtermination) 모델이 그 대표적인 예에 속한다. 그러나 이와 같은 모델들은 개발조직의 프로세스 개선을 위한 방향과 요건은 제시하고 있지만, 이를 조직 내에서 구현하기 위한 구체적인 방법이나 수단은 제시해주지 못하고 있다. 따라서 이러한 접근방법 역시 소프트웨어 엔지니어링 역량 이나 개발경험이 일천한 우리 현실에서는 부분적인 성과 이상을 기대하기는 어려웠다. 본 연구에서는 이와 같은 문제점이 개발 프로젝트와 관련된 경험이나 지식을 효과적으로 추출하고, 획득하고, 체계화하고, 시스템화하여 조직 내에서 활용하려는 노력이 부족한기 때문이라고 본다. 이에 본 연구에서는 개발조직의 역량 향상을 위한 지식관리적 접근 방법의 세가지 유형을 제시하기로 한다.>$Ca^{2＋}$ 는 뿌리에서, $Mg^{2＋}$ 는 잎에서 많았으며, $PO_4$$^{-}$ 는 과실과 줄기에서 많았다. 배지간에 따른 차이는 나타나지 않았으며, $K^{+}$, $Ca^{2＋}$ 및 $Mg^{2＋}$ 는10:0에서, $PO_4$$^{-}$ 는 8:2에서 각각 많았다.해 제품을 판매하였으며, 기업 및 제품이미지 제고를 위한 고객에 대한 서비스도 강화하고 있었다. 통신기기업체내지 소프트웨어 산업으로의 진출이 가능할 수 있도록 상호진출을 허용할 필요가 있다고 본다. 이를 위해서 우리 나라 정부 역시 미국처럼 새로운 통신개혁법을 만들 필요가 있다. 새로운 통신개혁법의 핵심적인 사항으로서 첫째, 통신과 CATV간의 상호진입을 허용, 둘째, 통신사업자가 통신관련 기기산업에 참여할 수 있는 규제완화를 허용, 셋째, 유아단계에 있는 소프트웨어 및 컨테트산업을 육성하는데 산업육성책 수립 등을 적극적으로 추진하여야 할 것이다. 그리고 현재 국내 재벌기업들로 구성되어 있는 기반산업을 지원하는 기술개발 지원체제와 육성정책을 소프트웨어 및 컨텐트의 응용산업으로 개편할 필요성도 제시되며, 이를 위해 범부처 차원에서 소프트웨어 및 컨텐트 육성정책을 지원하는 종합적인 대책을 마련해야 한다고 본다.서, Li-K, Li-Na탄산염에 대하여 부 식거동을 검토한 결과, 가압하에서 내식성이 향상되는 것이 발견되었다. 이유로서는 가압하에서 용융탄산엽의 증가된 산화력으로 보다 치밀한 내식성 산화물 피막이 형성되기 때문으로 생각되고 있다. 또

• Journal of KIISE:Software and Applications
• /
• v.29 no.9
• /
• pp.669-675
• /
• 2002

In recent years most of personalized recommender systems in electronic commerce utilize collaborative filtering algorithm in order to recommend more appropriate items. User-based collaborative filtering is based on the ratings of other users who have similar preferences to a user in order to predict the rating of an item that the user hasn't seen yet. This nay decrease the accuracy of prediction because the similarity between two users is computed with respect to the two users and only when an item has been rated by the users. In item-based collaborative filtering, the preference of an item is predicted based on the similarity between the item and each of other items that have rated by users. This method, however, uses the ratings of users who are not the neighbors of a user for computing the similarity between a pair of items. Hence item-based collaborative filtering may degrade the accuracy of a recommender system. In this paper, we present a new approach that a user's neighborhood is used when we compute the similarity between the items in traditional item-based collaborative filtering in order to compensate the weak points of the current item-based collaborative filtering and to improve the prediction accuracy. We empirically evaluate the accuracy of our approach to compare with several different collaborative filtering approaches using the EachMovie collaborative filtering data set. The experimental results show that our approach provides better quality in prediction and recommendation list than other collaborative filtering approaches.

• Journal of the Korean Institute of Gas
• /
• v.3 no.1
• /
• pp.48-57
• /
• 1999

Safe plants are maintained by the systematic identification of potential hazards. Various hazard evaluation methods have been developed in pursuit of safe plants. Recently, much efforts has been made for the automation of hazard evaluation system by introducing expert system to get rid of weak points of the conventional hazard evaluation methods. HAZOP study is recognized as one of the most systematic and logical hazard evaluation methods. However, it has several disadvantages; experts should participate simultaneously, the detailed study is time-consuming, and the quality of the results largely depends on the quality of the experts. Therefore, the automation of HAZOP Study is highly beneficial for reducing the required time and obtaining the consistent evaluation results. In this study, a framework for the automation of HAZOP study is suggested. Based on the suggested framework, HAxSYM, an expert system to automate HAZOP study, has been developed. The case study validates the performance of the developed system, and the results are compared with the results from the conventional HAZOP study.

• Polymer(Korea)
• /
• v.37 no.6
• /
• pp.744-752
• /
• 2013

The miscibility between poly(L-lactide) (PLLA) and poly(methyl methacrylate) (PMMA) was investigated using thermal analyses for the purpose of developing birefringence-free material at oriented state. The effect of methyl acrylate (MA) units as comonomer of PMMA on the miscibility was also studied. All the blends prepared in this study show composition-dependent single $T_g$'s between those of blend components and high transparency over the visible region, indicating the miscibility at molecular level and no discernible effect of MA units on it. No phase separation was observed at elevated temperature of $280^{\circ}C$, higher than the degradation of PLLA and PMMA. The interaction energy density in PLLA/PMMA blends with 17 mol% of MA was measured to be $-0.74J/cm^3$ from the equilibrium melting temperature depression based on the Hoffman-Weeks method. The blends show zero-${\Delta}$n behavior at a specific mixing ratio and the drawing ratio of 3 due to compensation of intrinsic orientation birefringence. Birefringence dispersion of PLLA/PMMA5 blends was also measured to examine the possibility for quarter-wave plates or polarizer protective films.

• Journal of Korean Society of Transportation
• /
• v.19 no.6
• /
• pp.105-118
• /
• 2001

Incident detection rate and false alarm rate are the key measures tot estimating the performance of automatic incident detection algorithms. It is, however inherently very difficult to improve the two measures simultaneously. The main purpose of this study is to present some methods for solving the problem. For this, an incident detection algorithm has been designed in this study. The algorithm is consisted of two functions, one for detecting incident and another for detecting congestion. A logic for distinguishing non-recurrent congestion from recurrent congestion was employed in the algorithm. The new algorithm basically requires speed, flow, and occupancy data for defining incident situation, but the algorithm is able to perform this task without one of the three parameters. The performance of the algorithm has been evaluated by using the field data collected from Interstate Highway 880 in Bay Area, California. The empirical analysis results are very promising and thus, the algorithm proposed may be very useful for the analysts. This paper presents some empirical test results for the performance of California incident detection algorithm, only for the reference purpose.

• Korean Journal of Fisheries and Aquatic Sciences
• /
• v.31 no.1
• /
• pp.109-113
• /
• 1998

The clay and yellow loess have capability to adsorb and precipitate particles. The removal efficiencyes of those flocculents on the dinoflagellate, Cochlodinium polykrikoides, have been studied in laboratory and in field near Tongyong fish farm in September, 1996. The removal efficiencyes in the laboratory experiment was $43\%$ for $2\;g/{\ell}$, $64\%$ for $6g/{\ell}$ and $88\%$ for $10\;g/{\ell}$ in one hour after dispersion. No big difference of removal efficiency was found between the raw and the acid-activated loess. In the field survey, the removal rates ranged from 72 to $80\%$ in 30 min after the dispersion. The effect of loess scattering on water quality was estimated. The concentrations of dissolved inorganic nitrogen (DIN), chemical of gen demand (COD) and chlorophyll a decreased more or less after dispersion, while the concentration of suspended solid (SS) increased. The concentrations of dissolved oxygen (DO) and dissolved inorganic phosphorous (DIP) were kept constant. These results indicated that the dispersion concentration of more than $10g/{\ell}$ has a good removal efficiency of above $80\%$ without big variation of water quality after dispersion of yellow loess.

• Journal of the Korean Society of Food Science and Nutrition
• /
• v.22 no.2
• /
• pp.208-214
• /
• 1993

Ginseng-whey beverages were prepared with rennet whey, ginseng, sweetener, honey and Japanese apricot, inoculated with different strains of lactic acid bacteria or unfermented partly. The samples were stored at 4$^{\circ}C$ or 30$\pm$1$0^{\circ}C$ and then physicochemical and microbiological properties were investigated. The yield of whey was 78.8%. The pH-values reduced and acidities increased during the storage period. The contents of solid-substances, ash and lipid in ginseng-whey beverages were 7.90~8.20%, 0.62~0.66% and 0.16%, respectively. The protein contents of ginseng-whey beverages were 0.42~0.56% and the contents were not changed during the storage period. The lactose contents of fermented beverages were higher than those of unfermented beverages. During the storage period (1~5 weeks), the ranges of D(-) - and L(+)- lactic acid contents in fermented ginseng-whey beverages (17.3~156.1 mg/100g, 347.3~1894.2mg/100g) were higher than those of unfermented ginseng-whey beverages (6.2~82.8mg/100g, 7.1~885.5mg/100g). The contents of total saponin in unfermented sample and fermented sample (Lac. casei sub-sp. casei+Str. salivarius sub-sp. thermophilus) were increased during the storage period. But, those of the fermented sample(Lac. acidophilus+Lac. delbrueckii sub-sp. bulgaricus) were reduced. In the electrophoretic results of ginseng-whey beverages, an $\alpha$-lactalbumin and a $\beta$-lactoglobulin bands were shown apparently and there were no changes observed during the storage period. During the storage period (1~3 week) the coliform was not detected and total plate counts and psychrotrophs were increased according to the storage period.

• Journal of the Korean Institute of Intelligent Systems
• /
• v.26 no.6
• /
• pp.471-476
• /
• 2016

In this paper, recognition system for continuous human action is explained by using motion history image and histogram of oriented gradient with spotter model based on depth information, and the spotter model which performs action spotting is proposed to improve recognition performance in the recognition system. The steps of this system are composed of pre-processing, human action and spotter modeling and continuous human action recognition. In pre-processing process, Depth-MHI-HOG is used to extract space-time template-based features after image segmentation, and human action and spotter modeling generates sequence by using the extracted feature. Human action models which are appropriate for each of defined action and a proposed spotter model are created by using these generated sequences and the hidden markov model. Continuous human action recognition performs action spotting to segment meaningful action and meaningless action by the spotter model in continuous action sequence, and continuously recognizes human action comparing probability values of model for meaningful action sequence. Experimental results demonstrate that the proposed model efficiently improves recognition performance in continuous action recognition system.

• Journal of Intelligence and Information Systems
• /
• v.17 no.1
• /
• pp.111-125
• /
• 2011

Clustering is a process of grouping similar or relevant documents into a cluster and assigning a meaningful concept to the cluster. By this process, clustering facilitates fast and correct search for the relevant documents by narrowing down the range of searching only to the collection of documents belonging to related clusters. For effective clustering, techniques are required for identifying similar documents and grouping them into a cluster, and discovering a concept that is most relevant to the cluster. One of the problems often appearing in this context is the detection of a complex concept that overlaps with several simple concepts at the same hierarchical level. Previous clustering methods were unable to identify and represent a complex concept that belongs to several different clusters at the same level in the concept hierarchy, and also could not validate the semantic hierarchical relationship between a complex concept and each of simple concepts. In order to solve these problems, this paper proposes a new clustering method that identifies and represents complex concepts efficiently. We developed the Hierarchical Overlapping Clustering (HOC) algorithm that modified the traditional Agglomerative Hierarchical Clustering algorithm to allow overlapped clusters at the same level in the concept hierarchy. The HOC algorithm represents the clustering result not by a tree but by a lattice to detect complex concepts. We developed a system that employs the HOC algorithm to carry out the goal of complex concept detection. This system operates in three phases; 1) the preprocessing of documents, 2) the clustering using the HOC algorithm, and 3) the validation of semantic hierarchical relationships among the concepts in the lattice obtained as a result of clustering. The preprocessing phase represents the documents as x-y coordinate values in a 2-dimensional space by considering the weights of terms appearing in the documents. First, it goes through some refinement process by applying stopwords removal and stemming to extract index terms. Then, each index term is assigned a TF-IDF weight value and the x-y coordinate value for each document is determined by combining the TF-IDF values of the terms in it. The clustering phase uses the HOC algorithm in which the similarity between the documents is calculated by applying the Euclidean distance method. Initially, a cluster is generated for each document by grouping those documents that are closest to it. Then, the distance between any two clusters is measured, grouping the closest clusters as a new cluster. This process is repeated until the root cluster is generated. In the validation phase, the feature selection method is applied to validate the appropriateness of the cluster concepts built by the HOC algorithm to see if they have meaningful hierarchical relationships. Feature selection is a method of extracting key features from a document by identifying and assigning weight values to important and representative terms in the document. In order to correctly select key features, a method is needed to determine how each term contributes to the class of the document. Among several methods achieving this goal, this paper adopted the $x^2$�� statistics, which measures the dependency degree of a term t to a class c, and represents the relationship between t and c by a numerical value. To demonstrate the effectiveness of the HOC algorithm, a series of performance evaluation is carried out by using a well-known Reuter-21578 news collection. The result of performance evaluation showed that the HOC algorithm greatly contributes to detecting and producing complex concepts by generating the concept hierarchy in a lattice structure.