• Title/Summary/Keyword: 대체 효과

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Load Distribution over Multipath for MPLS Networks (MPLS 네트워크에서의 다중 경로 부하 분산 방안)

  • 김세린;이미정
    • Proceedings of the Korean Information Science Society Conference
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    • 2001.04a
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    • pp.397-399
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    • 2001
  • IETF에서는 차세대 인터넷 기술인 MPLS를 도입한 망에서의 다중경로 라우팅 및 부하 분산 방식으로서 MPLS OMP(Optimized MultiPath)를 제안하였다. 그런데, MPLS OMP는 다중 경로 집합을 계산하고 이 집합에 속하는 경로들의 활용률이 동일해 지는 것을 목표로 부하를 골고루 분산하기 때문에 긴 경로와 짧은 경로가 동일하게 활용되어 대역폭을 낭비할 수 있다는 단점이 있다. 이에 본 논문에서는 좀 더 MPLS 네트워크 자원을 효과적으로 사용하는 다중 경로 라우팅 방식을 제안하였다. 제안한 다중 경로 라우팅 방식은 최단경로의 활용률이 낮을때는 최단경로를 사용하고, 최단경로의 활용률이 높아지면 좀 더 길지만 활용률이 낮은 대체 경로 집합을 계산하여 대체 경로 집합의 경로들 중 흡수와 활용률을 반영해 무작위로 한 경로를 선택한다. 또한, 링크가 낭비되는 것을 막기 위해 링크의 활용률이 클수록 더 짧은 경로에 의해서만 사용되도록 제한한다. 그리고 계산한 대체 경로 집합의 활용률이 임계치 이상인 경우에는 대체 경로 집합의 크기를 늘린다. 시뮬레이션을 통하여 제한하는 방식과 단순한 최단 경로 방식을 비교한 결과, 제안하는 방식의 셀 손실률이 낮고, 연결 수락률이 높음을 볼 수 있었다.

Effects of Binding Materials on Nutrients of Soondae (결착제를 달리한 순대의 성분에 관한 연구)

  • 손정우;이숙미;염초애
    • Korean journal of food and cookery science
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    • v.15 no.3
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    • pp.244-248
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    • 1999
  • Soondae was prepared with porcine plasma or egg white as a substitute of porcine blood and their nutritional value was evaluated for th purpose of improving the quality of Soondae. The total energy of Soondae was 181.9 kcal/100 g with the composition of 66.14% moisture, 9.25% protein. 10.44% fat, 0.89% ash, 0.54% fiber, and 12.74% carbohydrate. As the percentage of porcine plasma increased, the total energy was decreased. For the minerals, Fe content was the highest in original Soondae (8.5 mg/100 g) and the contents of Fe, Na, K were decreased with the increase of porcine plasma or egg white. The glutamic acid, leucine, lysine, glycine, and alanine were the major portion of the amino acid contents in Soondae. The U/S ratio was increased with the proportion of porcine plasma and egg white. The cholesterol content of original Soondae (66.6 mg/100 g) was decreased by 25.73% in porcine plasma Soondae and by 36.98% in egg white Soondae.

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Case Study on NOx Emissions from Cement Kiln before and after Applying Multi-stage Combustion Technology (다단연소 기술 적용 전후 시멘트 소성설비의 NOx 배출 사례 연구)

  • Jae-Won, Choi;Ju-Ik Back;Jang-Jung Kim;Phil-Sung Won
    • Journal of the Korean Recycled Construction Resources Institute
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    • v.11 no.3
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    • pp.267-275
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    • 2023
  • The cement industry has been contributing to solve the wastes problem by using various combustible wastes as alternative fuel to replace natural coal. To use more alternative fuels such as waste plastics, in the cement manufacturing process, it is necessary to stably burn alternative fuels and reduce air emissions such as NOx. This study is a case study on the multi-stage combustion calciner process, which is a technology that decreases the amount of NOx while increasing the use of alternative fuels. This study is a case study on the multi-stage combustion process, a technology that reduces the amount of harmful air emissions such as NOx while increasing the use of alternative fuels. Along results of comparing before and after applying the technology to actual cement manufacturing facilities, the amount of coal consumption decreased by 38 %, waste plastics consumption increased by 122 %, and NOx emissions decreased by 17 %. Results show that increasing the use of alternative fuels and reducing NOx emissions by multi-stage combustion is effective.

Can Generative AI Replace Human Managers? The Effects of Auto-generated Manager Responses on Customers (생성형 AI는 인간 관리자를 대체할 수 있는가? 자동 생성된 관리자 응답이 고객에 미치는 영향)

  • Yeeun Park;Hyunchul Ahn
    • Knowledge Management Research
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    • v.24 no.4
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    • pp.153-176
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    • 2023
  • Generative AI, especially conversational AI like ChatGPT, has recently gained traction as a technological alternative for automating customer service. However, there is still a lack of research on whether current generative AI technologies can effectively replace traditional human managers in customer service automation, and whether they are advantageous in some situations and disadvantageous in others, depending on the conditions and environment. To answer the question, "Can generative AI replace human managers in customer service activities?", this study conducted experiments and surveys on customer online reviews of a food delivery platform. We applied the perspective of the elaboration likelihood model to generate hypotheses about whether there is a difference between positive and negative online reviews, and analyzed whether the hypotheses were supported. The analysis results indicate that for positive reviews, generative AI can effectively replace human managers. However, for negative reviews, complete replacement is challenging, and human managerial intervention is considered more desirable. The results of this study can provide valuable practical insights for organizations looking to automate customer service using generative AI.