• 한국통신학회논문지
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• 제29권12A호
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• pp.1340-1348
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• 2004

본 논문에서는 OFDM 시스템에서 최대전력 대 평균전력(Peak-to -average Power Ratio : PAPR) 및 계산량(computation)을 최소화하는 PAPR-최소화하는 시퀀스 매핑 기법을 제안한다. PAPR을 줄이기 위해, 낮은 신호 전력의 블락 지수(block index)와 심벌 패턴들에 관한 정보를 이용하여 사상(mapping table)을 작성한다. 입력 데이터 시퀀스는 목(quotient)과 나머지(remainder)을 찾기위해 블락 지수로 나눈다. 낮은 신호 전력의 심벌 패턴은 사상 표에서 음에 따른 블락 지수의 항으로 찾게되고, 수신기에서 최초의 데이터 시퀀스를 구별하고 복원하기 위한 추가정보처럼 나머지와 함께 전송된다. 본 논문에서는 두가지 방식의 사상(mapping) 기법을 제안한다. 하나는 OFDM 신호를 복원하기위해 송신기와 수신기 양쪽 다 사상 표를 갖는 기법이고, 다른 하나는 이동국(mobile) 시스템에서 부하와 복잡성을 줄이기 위해 단지 송신기만 사상 표를 사용하는 기법이다. 이들 알고리즘은 다중 캐리어 시스템에서 PAPR 경감, 단순 처리, 그리고 적은 계산량을 확인할 수 있었다.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2003년도 신호처리소사이어티 추계학술대회 논문집
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• pp.359-362
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• 2003

In PDP(Plasma Display Panel), sub-field method is used to implement gray scale. Each sub-field has different periods. And Every gray level has information of which sub-field has to be displayed. This is called sub-field mapping. There are several sub-field mapping values in some gray levels. So, it is possible to select best choice in this paper, we propose new sub field mapping method using a fuzzy inference system to select best sub-field mapping values in accordance with input image and environment temperature. In order to implement fuzzy system, we used MATLAB fuzzy inference editor.

• International Journal of Knowledge Content Development & Technology
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• 제2권1호
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• pp.51-65
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• 2012

While science and technology information service portals and heterogeneous databases produced in Korea and other countries are integrated, methods of connecting the unique classification systems applied to each database have been studied. Results of technologists' research, such as, journal articles, patent specifications, and research reports, are organically related to each other. In this case, if the most basic and meaningful classification systems are not connected, it is difficult to achieve interoperability of the information and thus not easy to implement meaningful science technology information services through information convergence. This study aims to address the aforementioned issue by analyzing mapping systems between classification systems in order to design a structure to connect a variety of classification systems used in the academic information database of the Korea Institute of Science and Technology Information, which provides science and technology information portal service. This study also aims to design a mapping system for the classification systems to be applied to actual science and technology information services and information management systems.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제14권7호
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• pp.2957-2980
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• 2020

Ensemble clustering commonly integrates multiple basic partitions to obtain a more accurate clustering result than a single partition. Specifically, it exists an inevitable problem that the incomplete transformation from the original space to the integrated space. In this paper, a novel ensemble clustering algorithm using a newly reconstructed mapping coefficient (ECRMC) is proposed. In the algorithm, a newly reconstructed mapping coefficient between objects and micro-clusters is designed based on the principle of increasing information entropy to enhance effective information. This can reduce the information loss in the transformation from micro-clusters to the original space. Then the correlation of the micro-clusters is creatively calculated by the Spearman coefficient. Therefore, the revised co-association graph between objects can be built more accurately because the supplementary information can well ensure the completeness of the whole conversion process. Experiment results demonstrate that the ECRMC clustering algorithm has high performance, effectiveness, and feasibility.

• Journal of information and communication convergence engineering
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• 제5권2호
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• pp.131-135
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• 2007

In this paper, The proposed algorithm consists of three steps. In the first step, TD(Transition Density) calculation has to be performed. a CLB-based CPLD low-power technology mapping algorithm considered a Trade-off is proposed. To perform low-power technology mapping for CPLDs, a given Boolean network has to be represented in a DAG. Total power consumption is obtained by calculating the switching activity of each node in a DAG. In the second step, the feasible clusters are generated by considering the following conditions: the number of inputs and outputs, the number of OR terms for CLB within a CPLD. The common node cluster merging method, the node separation method, and the node duplication method are used to produce the feasible clusters. In the final step, low-power technology mapping based on the CLBs packs the feasible clusters. The proposed algorithm is examined using SIS benchmarks. When the number of OR terms is five, the experiment results show that power consumption is reduced by 30.73% compared with TEMPLA, and by 17.11 % compared with PLA mapping.

• Asian-Australasian Journal of Animal Sciences
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• 제16권10호
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• pp.1411-1420
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• 2003

Comparative maps, representing chromosomal locations of homologous genes in different species, are useful sources of information for identifying candidate disease genes and genes determining complex traits. They facilitate gene mapping and linkage prediction in other species, and provide information on genome organization and evolution. Here, the current gene mapping and comparative mapping status of the major livestock species are presented. Two techniques were widely used in comparative mapping: FISH (Fluorescence In Situ Hybridization) and PCR-based mapping using somatic cell hybrid (SCH) or radiation hybrid (RH) panels. New techniques, using, for example, ESTs (Expressed Sequence Tags) or CASTS (Comparatively Anchored Sequence Tagged Sites), also have been developed as useful tools for analyzing comparative genome organization in livestock species, further enabling accurate transfer of valuable information from one species to another.

• 한국지능시스템학회논문지
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• 제22권1호
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• pp.42-48
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• 2012

시맨틱 웹이 대두되면서 온톨로지의 사용이 점차 늘어나고 있다. 동일한 분야에 관한 온톨로지일지라도 구축 방법과 활용 형태에 따라 같은 개념이 다른 형태로 표현되거나, 다른 개념이 같은 형태로 표현될 수 있다. 이러한 온톨로지들을 공유하고 재사용하기 위해서는 온톨로지의 매핑이 필요하다. 본 논문에서는 온톨로지의 어휘 정보를 이용하여 다단계로 매핑하고, 이 결과를 기반으로 구조 정보의 유사성을 검사하는 방법을 제안한다. 온톨로지에서 어휘 정보가 부여되지 않는 블랭크 노드를 추가로 확장하여 매핑 성능을 향상시켰다. 실험을 통하여 86.38%의 F1-measure값을 얻을 수 있었다.

• 산업공학
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• 제22권1호
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• pp.17-25
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• 2009

In mobile device's user interface, menu organization is very important as well as menu structure because small display of mobile device. Menu items should be organized based on user knowledge structure to design user-centered interface. Traditionally, MDS (Multidimensional Scaling) have been most often used to expose users' perceived organization of menu items. But, information that MDS reveals is just relative spatial location of concepts and not relevant to concepts connection. Unlike MDS, Trajectory Mapping explicitly finds users' cognitive links between perceived concepts. This study proposes a Trajectory Mapping technique for eliciting knowledge structure, especially a set of cognitive pathways linking menu items, from end user. With twelve participants, MDS and Trajectory Mapping were conducted using cellular phone's menu items. And user knowledge structure was analyzed through Visual Concept Map that combination of results of MDS and Trajectory Mapping. After then, menu items were organized according to users' perceived organization. Empirical usability test was also conducted. The results of usability test showed that usability, in terms of task performance time, number of errors, and satisfaction, for newly organized interface was significantly improved compare to original interface. The methodology of this study is expected to be applicable to design a user-centered interface. In other words, Trajectory Mapping technique can be used as a design tool of user interface for imposing user knowledge structure on the interface.

• Journal of Information Processing Systems
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• 제9권1호
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• pp.1-30
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• 2013

The capitalization of know-how, knowledge management, and the control of the constantly growing information mass has become the new strategic challenge for organizations that aim to capture the entire wealth of knowledge (tacit and explicit). Thus, knowledge mapping is a means of (cognitive) navigation to access the resources of the strategic heritage knowledge of an organization. In this paper, we present a new mapping approach based on the Boolean modeling of critical domain knowledge and on the use of different data sources via the data mining technique in order to improve the process of acquiring knowledge explicitly. To evaluate our approach, we have initiated a process of mapping that is guided by machine learning that is artificially operated in the following two stages: data mining and automatic mapping. Data mining is be initially run from an induction of Boolean case studies (explicit). The mapping rules are then used to automatically improve the Boolean model of the mapping of critical knowledge.

• 한국정보과학회논문지:시스템및이론
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• 제37권4호
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• pp.215-225
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• 2010

낸드 플래시 메모리를 이용한 SSD(Solid State Disk)는 하드 디스크를 대체할 매체로 주목받고 있다. SSD는 성능을 최대화 하기 위해 다수의 낸드 플래시 메모리를 병렬적으로 구성한다. 하지만 SSD에 하이브리드 매핑 기법을 적용할 경우 SSD의 특징으로 인해 성능 감소가 발생 가능하다. 본 논문에서는 SSD를 위한 페이지 매핑 기반의 WADPM (Workload-Aware Dynamic Page-level Mapping Scheme) 기법을 제안한다. WADPM은 필요한 매핑 정보만 RAM에 상주하며 또한 매핑 정보의 적중률에 따라 매핑 정보의 크기를 동적으로 변경시킨다. 이로 인해 페이지 매핑 기법의 단점인 매핑 테이블의 크기가 큰 것을 예방한다. 실험을 통해 WADPM 기법은 하이브리드 매핑 기법에 비해 최대 3.5배의 성능향상을 보이며, 매핑 테이블의 크기는 페이지 매핑 기법에 비해 최대 50%만 유지되는 것을 보인다.