• 융합정보논문지
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• 제12권4호
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• pp.158-165
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• 2022

본 연구는 영어원어민과 비원어민이 영어로 대화할 때 의사소통을 위해 어떻게 상호 협상하는가를 조명하고자 하였다. 본 연구에는 영어원어민 20명과 한국 대학생 20명으로 총 40명이 참여하였다. 참여자들은 한 명의 영어원어민과 한 명의 비원어민으로 한 쌍을 이루는 식으로 해서 20쌍으로 나뉘었다. 데이터 수집을 위해서 참여자들에게 영어로 대화할 수 있는 과제들이 주어졌고 그들의 대화는 녹음되었다. 총 37개의 녹음된 대화가 전사되었고 전사된 대화는 분석에 사용되었으며 통계분석들을 실시하였다. 본 연구결과에 의하면, 영어원어민과 비원어민 모두 성공적인 의사소통을 위해 상호 노력한 것으로 나타났다. 특히 원어민들은 대체로 비원어민들이 말을 할 수 있도록 부추기며 대화의 자연스러운 흐름을 주도하는 역할을 한 반면에 비원어민들은 그들의 목표언어 능력의 부족으로 인하여 대화전략들을 많이 구사한 것으로 드러났다. 비원어민들은 대화를 지속하기 위해 광범위한 전략들을 활용하였다. 본 연구의 결과는 원어민과 비원어민 간의 상호작용에 대한 이해를 높이며 교육적인 시사점을 내포한다.

• 디지털융복합연구
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• 제14권6호
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• pp.33-41
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• 2016

본 연구에서는 대학 재학생들의 학년별 취업준비행동 등을 파악하여 취업률 향상을 위한 방안을 마련하고자 하였다. 본 연구의 자료수집을 바탕으로 빈도분석 및 대학생들의 학년별 취업준비행동의 차이를 알아보기 위해 교차분석을 실시하였다. 분석결과, 복수전공 선택, 재학 중 직장경험, 어학연수 경험, 재학 중 진로설정, 취업목표 설정, 재학 중 일자리 탐색, 취업활동 참여, 직업관련 교육/훈련, 자격증 취득 등의 취업준비행동에 있어 모든 항목이 학년별로 유의한 차이가 있는 것으로 나타났다. 학년별 대학생들의 취업준비 활성화 방향에 대한 시사점은 다음과 같다. 첫째, 학생들의 적극적인 취업의지 고취가 필요하다. 둘째, 어학연수 기회확대, 자격증 취득을 위한 제도적 뒷받침이 필요하다. 셋째, 지방대학의 경우, 학생들의 기초학력 증진을 통한 취업역량 강화가 필요하다.

• 초등상담연구
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• 제11권2호
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• pp.299-320
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• 2012

본 연구는 상보적 수업을 활용한 읽기전략 학습상담프로그램이 초등학생의 독해력, 초인지 및 자기효능감에 미치는 효과를 알아보는데 그 목적이 있다. 이를 위해 중소도시 초등학교 5학년 2개 학급을 각각 실험집단과 통제집단으로 선정하고, 실험집단에 5주 동안 총 10회기의 상보적 수업을 활용한 읽기전략 학습상담프로그램을 실시하였다. 연구의 결과는 다음과 같다. 첫째, 상보적 수업을 활용한 읽기전략 학습상담프로그램은 초등학생들의 독해력과 그 하위 요인인 사실적 이해와 감상적 이해 영역에서 유의한 효과가 있었다. 둘째, 상보적 수업을 활용한 읽기전략 학습상담프로그램은 초인지의 하위요인인 조정 영역에서 유의한 효과가 있었다. 셋째, 상보적 수업을 활용한 읽기전략 학습상담프로그램은 자기효능감에서 유의한 효과가 있었다. 새로운 읽기전략에 대한 경험과 또래집단 구성원간에 주고받는 도움과 성공 경험이 자기효능감에 긍정적인 영향을 준 것으로 볼 수 있다. 넷째, 학생의 활동보고서 및 연구자의 관찰결과와 함께 프로그램에 대한 만족도 평가를 실시한 결과에서 초등학생들이 협동학습을 통해 학습 집단에서 공동 목표를 설정하고 그 목표를 달성하기 위해서 함께 노력하여 다른 구성원에게 도움을 주고받으며 즐겁게 참여하는 것이 긍정적인 프로그램 효과에 기여하였음을 확인할 수 있었다. 이상과 같은 연구 결과를 통해 상보적 수업을 활용한 읽기전략 학습상담프로그램이 초등학생들의 독해력, 초인지, 자기효능감을 향상시키는데 긍정적인 효과가 있었다.

• Asia Marketing Journal
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• 제14권3호
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• pp.27-48
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• 2012

Temperature and weather are all around us, quite literally. Furthermore, temperature and weather not only permeate our atmosphere, constantly affecting our visceral states of warmth and coldness, but they metaphorically permeate our language. People, products, and ideas can all be "hot" or "cold." Given this ubiquity, it is perhaps surprising that relatively little research has systematically examined the influence of temperature on choice and judgment. Temperature-related words such as "hot" and "cold" are often used to describe impulsive and calculated behaviors, respectively. These metaphoric connotations of thermal concepts raise the question as to whether temperature, psychological states and decision making are related to each other, and if so, how. The current research examines these questions and finds support for a relationship. Across one field study and one laboratory experiment, I demonstrate that both hot ambient room temperature (Spa) and hot temperature primes (words) trigger decision outcomes in line with the metaphoric association between hot temperature and impulsivity. In the field study, participants were recruited in hot (40-50 degrees Celsius) and cold (10 degrees Celsius) rooms at a spa. Participants were simply asked to indicate their willingness-to-pay (WTP) for three product categories (travel package, birthday dinner, and cell phone). The results showed that participants in the hot room in comparison to those in the cold room were willing to pay more for the same products. Next, I tested if our results would go beyond ambient temperature and would hold if I were to prime temperature concepts by using a different priming method (i.e., subliminal vs. supraliminal). In line with the previous findings in the spa, participants in the hot priming condition were more likely to choose the wrong answer for the bat and baseball question than those in the cold priming condition. In addition, product type (e.g., pleasure vs. necessity) can moderate the effect of hot temperature on impulsivity. Mood and arousal did not mediate participants' responses. My findings seem to suggest that the effects of temperature on decision outcomes can be attributed to metaphoric associations rather than incidental mood or arousal. The current research applies a novel perspective in understanding the relationship between temperature and judgment and decision making. Also, the results have practical implications for packaging, advertising, merchandising, and pricing of goods and services, as well as for public policy and awareness. One of the most natural implications of my findings would be that retailers would be better off carrying more impulse purchase items on hot days. Furthermore, point-of-purchase promotions encouraging impulse purchase is more likely to be effective in retail environments with higher temperature than with lower temperature. In addition, advertisements and product packages evoking hot temperature associations (e.g., beach, sunshine, summer) might lead consumers to pay higher price for the advertised product than those with cold temperature associations.

• 유통과학연구
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• 제12권6호
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• pp.15-20
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• 2014

Purpose - In general, researchers try to abide by the code of research ethics, but many of them are not fully aware of plagiarism, unintentionally committing the research misconduct when they write a research paper. This research aims to introduce researchers a clear and easy guideline at a conference, which helps researchers avoid accidental plagiarism by addressing the issue. This research is expected to contribute building a climate and encouraging creative research among scholars. Research design, data, methodology & Results - Plagiarism is considered a sort of research misconduct along with fabrication and falsification. It is defined as an improper usage of another author's ideas, language, process, or results without giving appropriate credit. Plagiarism has nothing to do with examining the truth or accessing value of research data, process, or results. Plagiarism is determined based on whether a research corresponds to widely-used research ethics, containing proper citations. Within academia, plagiarism goes beyond the legal boundary, encompassing any kind of intentional wrongful appropriation of a research, which was created by another researchers. In summary, the definition of plagiarism is to steal other people's creative idea, research model, hypotheses, methods, definition, variables, images, tables and graphs, and use them without reasonable attribution to their true sources. There are various types of plagiarism. Some people assort plagiarism into idea plagiarism, text plagiarism, mosaic plagiarism, and idea distortion. Others view that plagiarism includes uncredited usage of another person's work without appropriate citations, self-plagiarism (using a part of a researcher's own previous research without proper citations), duplicate publication (publishing a researcher's own previous work with a different title), unethical citation (using quoted parts of another person's research without proper citations as if the parts are being cited by the current author). When an author wants to cite a part that was previously drawn from another source the author is supposed to reveal that the part is re-cited. If it is hard to state all the sources the author is allowed to mention the original source only. Today, various disciplines are developing their own measures to address these plagiarism issues, especially duplicate publications, by requiring researchers to clearly reveal true sources when they refer to any other research. Conclusions - Research misconducts including plagiarism have broad and unclear boundaries which allow ambiguous definitions and diverse interpretations. It seems difficult for researchers to have clear understandings of ways to avoid plagiarism and how to cite other's works properly. However, if guidelines are developed to detect and avoid plagiarism considering characteristics of each discipline (For example, social science and natural sciences might be able to have different standards on plagiarism.) and shared among researchers they will likely have a consensus and understanding regarding the issue. Particularly, since duplicate publications has frequently appeared more than plagiarism, academic institutions will need to provide pre-warning and screening in evaluation processes in order to reduce mistakes of researchers and to prevent duplicate publications. What is critical for researchers is to clearly reveal the true sources based on the common citation rules and to only borrow necessary amounts of others' research.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 1993년도 Fifth International Fuzzy Systems Association World Congress 93
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• pp.975-976
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• 1993

This talk presents the overview of the author's research and development activities on fuzzy inference hardware. We involved it with two distinct approaches. The first approach is to use application specific integrated circuits (ASIC) technology. The fuzzy inference method is directly implemented in silicon. The second approach, which is in its preliminary stage, is to use more conventional microprocessor architecture. Here, we use a quantitative technique used by designer of reduced instruction set computer (RISC) to modify an architecture of a microprocessor. In the ASIC approach, we implemented the most widely used fuzzy inference mechanism directly on silicon. The mechanism is beaded on a max-min compositional rule of inference, and Mandami's method of fuzzy implication. The two VLSI fuzzy inference chips are designed, fabricated, and fully tested. Both used a full-custom CMOS technology. The second and more claborate chip was designed at the University of North Carolina(U C) in cooperation with MCNC. Both VLSI chips had muliple datapaths for rule digital fuzzy inference chips had multiple datapaths for rule evaluation, and they executed multiple fuzzy if-then rules in parallel. The AT & T chip is the first digital fuzzy inference chip in the world. It ran with a 20 MHz clock cycle and achieved an approximately 80.000 Fuzzy Logical inferences Per Second (FLIPS). It stored and executed 16 fuzzy if-then rules. Since it was designed as a proof of concept prototype chip, it had minimal amount of peripheral logic for system integration. UNC/MCNC chip consists of 688,131 transistors of which 476,160 are used for RAM memory. It ran with a 10 MHz clock cycle. The chip has a 3-staged pipeline and initiates a computation of new inference every 64 cycle. This chip achieved an approximately 160,000 FLIPS. The new architecture have the following important improvements from the AT & T chip: Programmable rule set memory (RAM). On-chip fuzzification operation by a table lookup method. On-chip defuzzification operation by a centroid method. Reconfigurable architecture for processing two rule formats. RAM/datapath redundancy for higher yield It can store and execute 51 if-then rule of the following format: IF A and B and C and D Then Do E, and Then Do F. With this format, the chip takes four inputs and produces two outputs. By software reconfiguration, it can store and execute 102 if-then rules of the following simpler format using the same datapath: IF A and B Then Do E. With this format the chip takes two inputs and produces one outputs. We have built two VME-bus board systems based on this chip for Oak Ridge National Laboratory (ORNL). The board is now installed in a robot at ORNL. Researchers uses this board for experiment in autonomous robot navigation. The Fuzzy Logic system board places the Fuzzy chip into a VMEbus environment. High level C language functions hide the operational details of the board from the applications programme . The programmer treats rule memories and fuzzification function memories as local structures passed as parameters to the C functions. ASIC fuzzy inference hardware is extremely fast, but they are limited in generality. Many aspects of the design are limited or fixed. We have proposed to designing a are limited or fixed. We have proposed to designing a fuzzy information processor as an application specific processor using a quantitative approach. The quantitative approach was developed by RISC designers. In effect, we are interested in evaluating the effectiveness of a specialized RISC processor for fuzzy information processing. As the first step, we measured the possible speed-up of a fuzzy inference program based on if-then rules by an introduction of specialized instructions, i.e., min and max instructions. The minimum and maximum operations are heavily used in fuzzy logic applications as fuzzy intersection and union. We performed measurements using a MIPS R3000 as a base micropro essor. The initial result is encouraging. We can achieve as high as a 2.5 increase in inference speed if the R3000 had min and max instructions. Also, they are useful for speeding up other fuzzy operations such as bounded product and bounded sum. The embedded processor's main task is to control some device or process. It usually runs a single or a embedded processer to create an embedded processor for fuzzy control is very effective. Table I shows the measured speed of the inference by a MIPS R3000 microprocessor, a fictitious MIPS R3000 microprocessor with min and max instructions, and a UNC/MCNC ASIC fuzzy inference chip. The software that used on microprocessors is a simulator of the ASIC chip. The first row is the computation time in seconds of 6000 inferences using 51 rules where each fuzzy set is represented by an array of 64 elements. The second row is the time required to perform a single inference. The last row is the fuzzy logical inferences per second (FLIPS) measured for ach device. There is a large gap in run time between the ASIC and software approaches even if we resort to a specialized fuzzy microprocessor. As for design time and cost, these two approaches represent two extremes. An ASIC approach is extremely expensive. It is, therefore, an important research topic to design a specialized computing architecture for fuzzy applications that falls between these two extremes both in run time and design time/cost. TABLEI INFERENCE TIME BY 51 RULES {{{{Time }}{{MIPS R3000 }}{{ASIC }}{{Regular }}{{With min/mix }}{{6000 inference 1 inference FLIPS }}{{125s 20.8ms 48 }}{{49s 8.2ms 122 }}{{0.0038s 6.4㎲ 156,250 }} }}