• 유통과학연구
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• 제13권6호
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• pp.25-33
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• 2015

Purpose - This paper's goal is to assess and promote several good teaching product designs and several learning environments. The paper discusses research product design learning and management. Research design, data, and methodology - As part of information science and technology, a school uses several teaching networks for auxiliary teaching, taking several designs as the teaching foundation, and creating multimedia curricula. Results - The results indicate that in the best learning designs and environments, the learner can maintain a high interest, which not only attracts all levels in the schools, but also has a pivotal influence on teaching around the world. The research study answers the question, was the atmosphere already luxurious? Conclusions - This study introduces several methodologies that are widely used for experimental processes. Using multi-criterion decision-making technology in studies of language product evaluation systems, the language teaching quality and space design is developed, and the language classroom learning system, the machine operation, the classroom environment design method, etc., conform to specifics of the study, the best choices, the most effective utilization, and are the most efficient.

• 한국소성가공학회:학술대회논문집
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• 한국소성가공학회 2004년도 추계학술대회논문집
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• pp.346-349
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• 2004

In the previous experimental study about extru-bending of angle product, the bending of extruded angle products with the '${\wedge}$' section and 'ㄱ' section can be abtained by the hot metal extru-bending machine with the two punches moving in the different velocity. The bending curvature can be controlled by the different velocity of billets through the two-hole container. This paper describes simulation of extru-bending process by the difference of punch velocities. The result of the forming simulation by $DEFORM^{TM}-3D$ shows that the bending phenomenon at the die exit during extrusion can be abtained by the two punches moving in the different velocity. And it is possible to design extrusion dies and to control the curvature of product through the simulation of extru-bending process by analysis

• 감성과학
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• 제19권4호
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• pp.21-32
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• 2016

제품유형과 가격, 브랜드 이미지 등의 상호작용이 소비자의 구매의도와 품질지각에 미치는 효과에 대해서는 다양한 현상을 관찰해 왔다. 그러나 제품유형과 제조방식의 상호작용이 이 요인들에 미치는 효과에 대해서는 연구가 드물었다. 그러나 3D프린터의 등장은 기계를 통한 자동화 생산과 수공예로 대표되던 제조방식에 3D프린팅이라는 새로운 방식을 추가하였고, 이러한 새로운 틀이 소비자의 구매의도와 품질지각에 영향을 미칠 가능성이 있기에 연구가 필요하다. 따라서 본 연구는 제품유형과 제조방식의 상호작용이 구매의도와 품질지각에 미치는 효과를 검증하기 위하여 이루어졌다. 이를 위한 실험 1은 성격이 다른 제품유형(드론 vs. 바이올린 vs. 컵)을 선정하였고, 제품유형별로 선호하는 제조방식이 다르게 나타나는지 측정하였다. 결과적으로 소비자들은 드론과 같은 최신제품은 3D프린팅 제작을, 바이올린은 수공예 제작을, 컵은 대량생산이 용이한 기계 제작을 선호하는 것으로 나타났다. 실험 2는 제품유형에 따른 제작방식 선호의 차이가 구매의도와 품질지각에 미치는 영향에 대한 검증을 시도하였다. 즉 드론은 3D프린팅 제조일 때 구매의도가 가장 높았고, 바이올린은 수공예일 때 구매의도가 가장 높았으며, 컵은 기계 제작일 때 구매의도가 가장 높았다. 또한 드론은 제작방식 간 품질지각에 차이가 없었던 반면, 바이올린은 수공예의 품질을 가장 우수하다고 지각했고, 컵은 3D프린팅에서 품질을 가장 낮게 지각했다(컵은 3D프린팅 제작일 때 구매의도도 가장 낮았다). 본 연구가 소비자 심리학, 마케팅, 광고 등의 분야에 폭넓은 시사점을 줄 것으로 기대한다.

• 한국산업융합학회 논문집
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• 제5권3호
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• pp.201-208
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• 2002

The machine tool which operates by hand is replacing by CNC machine tool to improve the quality of the product and the productivity in modem mechanic industry. The precision of machine part is influenced greatly the surface roughness by cutting condition of machine tool. So this study was performed to examine the aluminium surface roughness of section according to change of strength rating, nose radius, cutting speed, using live center. The results of this study are as follows; 1. In the case of 56mm diameter of test piece(length is below triple of diameter), whether establish the live center or not, doesn't influence to the surface roughness, and it is possible to make product without the live center. 2. The average surface roughness of 42mm diameter(length is quadruple of diameter) is similar to the 56mm diameter in the cutting condition of nose radius 0.8mm and cutting speed 140mm/min, but there are increases and differences in other cutting conditions. 3. In the case of test piece length more 70m/min(140m/mm) and nose radius improved greatly using the live center. 4. In the case of test piece length is quintuple of diameter, the nose radius must choose big tool and increase the cutting speed in preference live center establishment availability to improve that is surface roughness. Conclusively, if aluminum test piece length is fewer than triple of diameter, can process without establishing live center. If aluminum test piece length is more than quintuple of diameter, cutting conditions to improve surface roughness are (1) cutting speed (2) nose radius (3) whether the live center uses or not.

• 한국산학기술학회논문지
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• 제15권6호
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• pp.3416-3422
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• 2014

쇼크 업쇼바의 로드는 피스톤부 중심에 위치하여 왕복운동을 담당하는 부분으로 표면의 불량(찍힘)이 있을 경우 감쇠력에 대한 차이로 제품 성능을 제대로 발휘하는데 문제 발생의 요인이 되고 있다. 로드표면은 열처리 상태로 표면 광택으로 인하여 쉽게 불량이 표시되지 않으며, 작업자가 육안으로 로드의 이물질 및 찍힘, 기포 검사를 진행함으로써 눈의 피로도가 높아지고, 작업자 육안에 의존하기 때문에 제품의 검사 품질이 일정하지 않다. 본 연구에서는 제품의 원통 형상을 고려하여 라인스캔카메라를 이용한 머신비전 영상처리 기법으로 0.3mm이상의 표면의 불량을 검출하고, 검사단계에서 발생할 수 있는 표면 불량을 최소화하기 위한 전 공정 자동이송 및 양불 제품의 혼입을 방지하는 자동검사 시스템 개발에 대한 연구를 수행하였다. 표면검사 시스템 개발로 작업자의 육안 검사에 의존하고 있던 쇼크업쇼버 로드의 표면에 대한 정밀 검사시스템 구축으로 품질검사 기준을 확보하고 표준화된 검사로 신뢰도가 향상되었다.

• 한국정보통신학회논문지
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• 제19권10호
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• pp.2232-2240
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• 2015

최근 빅데이터 분야에서는 고객의 흥미가 높은 상품이나 과거 구매 내역 등 기존 보유한 데이터를 수집 및 재가공하여 사용자의 거래성향을 분석(상품 추천, 판매 예측 등)하는데 활용하려는 추세이다. 기존 사용자의 성향 관련 연구들은 조사시기와 대상의 범위가 한정적이며 세부 상품에 대한 예측이 어렵고, 실시간성이 없기 때문에 트렌드에 적절한 빠른 판매 전략을 도입하기가 어려운 단점이 존재한다. 본 논문은 기계학습 알고리즘 응용하여 사용자의 거래성향 분석에 활용한다. 기계학습 알고리즘 응용 결과 세부 상품별 추론할 수 있는 다양한 지표를 추출할 수 있음을 증명하였다.

• 산업경영시스템학회지
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• 제46권2호
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• pp.176-182
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• 2023

With about 80% of the global economy expected to shift to the global market by 2030, exports of reverse direct purchase products, in which foreign consumers purchase products from online shopping malls in Korea, are growing 55% annually. As of 2021, sales of reverse direct purchases in South Korea increased 50.6% from the previous year, surpassing 40 million. In order for domestic SMEs(Small and medium sized enterprises) to enter overseas markets, it is important to come up with export strategies based on various market analysis information, but for domestic small and medium-sized sellers, entry barriers are high, such as lack of information on overseas markets and difficulty in selecting local preferred products and determining competitive sales prices. This study develops an AI-based product recommendation and sales price estimation model to collect and analyze global shopping malls and product trends to provide marketing information that presents promising and appropriate product sales prices to small and medium-sized sellers who have difficulty collecting global market information. The product recommendation model is based on the LTR (Learning To Rank) methodology. As a result of comparing performance with nDCG, the Pair-wise-based XGBoost-LambdaMART Model was measured to be excellent. The sales price estimation model uses a regression algorithm. According to the R-Squared value, the Light Gradient Boosting Machine performs best in this model.

• 산업공학
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• 제10권2호
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• pp.1-13
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• 1997

The problem of the formation of machine-part cells in FMS is a very important issue at the planning and operating stages of FMS. This problem is inherently a combinatorial optimization problem, proven to be NP-complete(or, NP-hard). Among the several kinds of approaches which have been applied to solve the combinatorial optimization problems, the Simulated Annealing(SA) algorithm, a technique of random search type with a flexibility in generating alternatives, is a powerful problem solving tool. In this paper, the SA algorithm is used to solve machine cell-part family formation problems. The primary purpose of the study is to find the near-optimal solution of machine cell-part family formation problem, whare the product volume and number of operations are prespecified, that can minimize the total material handling cost caused by exceptional elements and intercell moves as much as possible. The results show that the SA algorithm is able to find a near-optimal solution for practical problems of the machine cell-part family formation.

• Smart Structures and Systems
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• 제8권1호
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• pp.53-67
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• 2011

Human state in human-machine systems highly affects the overall system performance, and should be detected and monitored. Physiological cues are essential indicators of human state and useful for the purpose of monitoring. The study presented in this paper was focused on developing a bio-inspired sensing system, i.e., Nano-Skin, to non-intrusively measure physiological cues on human-machine contact surfaces to detect human state. The paper is presented in three parts. The first part is to analyze the relationship between human state and physiological cues, and to introduce the conceptual design of Nano-Skin. Generally, heart rate, skin conductance, skin temperature, operating force, blood alcohol concentration, sweat rate, and electromyography are closely related with human state. They can be measured through human-machine contact surfaces using Nano-Skin. The second part is to discuss the technologies for skin temperature measurement. The third part is to introduce the design and manufacture of the Nano-Skin for skin temperature measurement. Experiments were performed to verify the performance of the Nano-Skin in temperature measurement. Overall, the study concludes that Nano-Skin is a promising product for measuring physiological cues on human-machine contact surfaces to detect human state.

• 한국산업융합학회 논문집
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• 제11권3호
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• pp.121-125
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• 2008

Commutator which plays the major role in switching electric currents from AC to DC is composed of copper and molding compound. The longevity of the DC motors are mostly hampered by the improper machining of the parts. Smooth surface will be mandatory to create the proper air gap of the commutator. In this thesis the selection of the proper materials and tools, the design and analysis of machine structure and the final test procedures have been investigated to achieve the smooth cut surface of the commutators. The performance and the product of the newly manufactured machine has been compared with those of the existing one. And the test result shows the new sawing machine has better overall efficiency and durability.