• Title/Summary/Keyword: Topic Generation

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Human Milk Microbiota: A Review (모유 미생물총에 대한 고찰)

  • Lee, Ju-Eun;Kim, Geun-Bae
    • Journal of Dairy Science and Biotechnology
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    • v.37 no.1
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    • pp.15-26
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    • 2019
  • A common belief is that human milk is sterile. However, the development of culture-independent molecular methods, especially Next Generation Sequencing, has revealed that human milk harbors diverse and rich bacterial communities. Although studies aimed at characterizing the microbiota of human milk have produced different findings, Staphylococcus and Streptococcus are presumed to be normal members of the microbiota. Factors that influence variation in the microbiota are unclear; however, the postpartum time, route of delivery, maternal obesity, and health status may be influential. The origin of the microbiota is a hotly debated topic. Human milk bacteria are thought to be introduced through bacterial exposure of the mammary duct during breast feeding and/or the entero-mammary pathway from the maternal gastrointestinal tract. Although the exact mechanism related to the entero-mammary pathway is unknown, it is presumed that bacteria penetrate the intestinal epithelium and then migrate to the mammary gland, dendritic cells, and macrophages. In this review, various relevant studies are introduced.

Natural question generation based on consistency between generated questions and answers (생성된 질의응답 간 일관성을 이용한 자연어 질의 생성)

  • Jaehong Lee;Hwiyeol Jo;Sookyo In;Sungju Kim;Kiyoon Moon;Taehong Min;Kyungduk Kim
    • Annual Conference on Human and Language Technology
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    • 2022.10a
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    • pp.109-114
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    • 2022
  • 질의 생성 모델은 스마트 스피커, 챗봇, QA 시스템, 기계 독해 등 다양한 서비스에 사용되고 있다. 모델을 다양한 서비스에 잘 적용하기 위해서는 사용자들의 실제 질의 특성을 반영한 자연스러운 질의를 만드는 것이 중요하다. 본 논문에서는 사용자 질의 특성을 반영한 간결하고 자연스러운 질의 자동 생성 모델을 소개한다. 제안 모델은 topic 키워드를 통해 모델에게 생성 자유도를 주었으며, 키워드형 질의→자연어 질의→응답으로 연결되는 chain-of-thought 형태의 다중 출력 구조를 통해 인과관계를 고려한 결과를 만들도록 했다. 최종적으로 MRC 필터링과 일관성 필터링을 통해 고품질 질의를 선별했다. 베이스라인 모델과 비교해 제안 모델은 질의의 유효성을 크게 높일 수 있었다.

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Intelligent Decision Support System for Containership Auto-stowage Planning (컨테이너 선박의 자동 적재 계획을 위한 지능형 의사결정지원시스템)

  • Shin, J.Y.;Nam, K.C.
    • Journal of Korean Port Research
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    • v.9 no.1
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    • pp.19-32
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    • 1995
  • The objective of this paper is to suggest a decision support system allowing automated stowage planning for containerships, and provide a working prototype. Unlike most previous works in this topic which concentrated mainly on the theoretical aspects. this paper attempts to develop a feasible system for improving the speed and accuracy of stowage planning by combining practice and theoretical solution methods. The paper includes a definition of the containership stowage problem, and details on the design and development of the automated stowage plan generation routine. Several program tests are undertaken with randomly generated input data. The results suggest that the prototype system is quite meaningful even though there are still some unsolved problems. The paper concludes with a discussion of issues for future development of the decision support system.

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Special Topic: The Impact of ChatGPT in Society, Business, and Academia

  • Kyoung Jun Lee;Taeho Hong;Hyunchul Ahn;Taekyung Kim;Chulmo Koo
    • Asia pacific journal of information systems
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    • v.33 no.4
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    • pp.957-976
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    • 2023
  • ChatGPT has had a significant impact on society, business, and academia by influencing individuals and organizations through knowledge generation and supporting users in locating conversational inquiries and answers. It can transform how people seek answers by combining human-like conversational skills with AI. By eradicating the cumbersome process of selecting from multiple options, users can conduct preliminary research or create optimized solutions. The purpose of this research is to investigate how consumers use ChatGPT and digital transformation, specifically in terms of knowledge development, searching and recommending, and optimizing accessible possibilities. Using many linked theories, we address the potential implications and insights that can be gained from ChatGPT's early stages and its integration with other applications such as robotics, service automation, and the metaverse. Finally, the application of ChatGPT has practical, theoretical, and phenomenological impacts, in addition to improving users' experiences.

Toon Image Generation of Main Characters in a Comic from Object Diagram via Natural Language Based Requirement Specifications

  • Janghwan Kim;Jihoon Kong;Hee-Do Heo;Sam-Hyun Chun;R. Young Chul Kim
    • International journal of advanced smart convergence
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    • v.13 no.1
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    • pp.85-91
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    • 2024
  • Currently, generative artificial intelligence is a hot topic around the world. Generative artificial intelligence creates various images, art, video clips, advertisements, etc. The problem is that it is very difficult to verify the internal work of artificial intelligence. As a requirements engineer, I attempt to create a toon image by applying linguistic mechanisms to the current issue. This is combined with the UML object model through the semantic role analysis technique of linguists Chomsky and Fillmore. Then, the derived properties are linked to the toon creation template. This is to ensure productivity based on reusability rather than creativity in toon engineering. In the future, we plan to increase toon image productivity by incorporating software development processes and reusability.

Numerical simulation and experimental study of quasi-periodic large-scale vortex structures in rod bundle lattices

  • Yi Liao;Songyang Ma;Hongguang Xiao;Wenzhen Chen;Kehan Ouyang;Zehua Guo;Lele Song
    • Nuclear Engineering and Technology
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    • v.56 no.2
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    • pp.410-418
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    • 2024
  • Study of flow behavior within rod bundles has been an active topic. Surface modification technologies are important parts of the design of the fourth generation reactor, which can increase the strength of the secondary flow within the rod bundle lattices. Quasi-periodic large-scale vortex structure (QLVS) is introduced by arranging micro ribs on the surface of rod bundles, which enhanced the scale of the secondary flow between the rod bundle lattices. Using computational fluid dynamics (CFD) and water experiments, the flow field distribution and drag coefficient of the rod-bundle lattices are studied. The secondary flow between the micro-ribbed rod-bundle lattice is significantly enhanced compared to the standard rod-bundle lattice. The numerical simulation results agree well with the experimental results.

Application of Grid-based Approach for Auto Mesh Generation of Vacuum Chamber (자동 요소망 생성을 위한 격자구성기법 적용)

  • Lee J.S.;Park Y.J.;Chang Y.S.;Choi J.B.;Kim Y.J.
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2005.06a
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    • pp.844-847
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    • 2005
  • A seamless analysis of complex geometry is one of greatly interesting topic. However, there are still gaps between the industrial applications and fundamental academic studies owing to time consuming modeling process. To resolve this problem, an auto mesh generation program based on grid-based approach has been developed for IT-product in the present study. At first, base mesh and skin mesh are generated using the information of entities which extracted from IGES file. Secondly the provisional core mesh with rugged boundary geometry is constructed by superimposing the skin mesh as well as the base mesh generated from the CAD model. Finally, the positions of boundary nodes are adjusted to make a qualified mesh by adapting node modification and smoothing techniques. Also, for the sake of verification of mesh quality, the hexahedral auto mesh constructed by the program is compared with the corresponding tetrahedral free mesh and hexahedral mapped mesh through static finite element analyses. Thereby, it is anticipated that the grid-based approach can be used as a promising pre-processor for integrity evaluation of various IT-products.

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Overlay Multicast Mechanism Supporting Differentiated QoS According to Service Level and User Environment over NGN (차세대네트워크 환경에서 서비스 등급 및 사용자 환경에 따른 차별화된 QoS를 지원하는 오버레이 멀티캐스트)

  • Rhee, Bo-Young;Cho, Sung-Chol;Han, Sun-Young
    • The KIPS Transactions:PartC
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    • v.15C no.6
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    • pp.557-566
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    • 2008
  • NGN(Next Generation Network) is a communication network which can make use of broadband and QoS-enabled transport technologies. One of the main service issues over NGN is a multimedia service, such as IPTV, using a multicast method. And overlay multicast technology is one of the promising solutions instead of traditional multicast technology which has a few problems, and supports flexibility and scalability for multicast services. Also, the main controversial topic in NGN and overlay multicast is QoS. In the present paper, we designed an agent in each receiver's network, and a manager which is in a source network and which manages the whole multicast network. Both of them are communicating with each other and applying resource policies to their multicast network. This mechanism enables overlay multicast to support QoS, focusing on RACF(Resource and Admission Control Functions) in NGN QoS architecture.

A Fast Processing Algorithm for Lidar Data Compression Using Second Generation Wavelets

  • Pradhan B.;Sandeep K.;Mansor Shattri;Ramli Abdul Rahman;Mohamed Sharif Abdul Rashid B.
    • Korean Journal of Remote Sensing
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    • v.22 no.1
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    • pp.49-61
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    • 2006
  • The lifting scheme has been found to be a flexible method for constructing scalar wavelets with desirable properties. In this paper, it is extended to the UDAR data compression. A newly developed data compression approach to approximate the UDAR surface with a series of non-overlapping triangles has been presented. Generally a Triangulated Irregular Networks (TIN) are the most common form of digital surface model that consists of elevation values with x, y coordinates that make up triangles. But over the years the TIN data representation has become an important research topic for many researchers due its large data size. Compression of TIN is needed for efficient management of large data and good surface visualization. This approach covers following steps: First, by using a Delaunay triangulation, an efficient algorithm is developed to generate TIN, which forms the terrain from an arbitrary set of data. A new interpolation wavelet filter for TIN has been applied in two steps, namely splitting and elevation. In the splitting step, a triangle has been divided into several sub-triangles and the elevation step has been used to 'modify' the point values (point coordinates for geometry) after the splitting. Then, this data set is compressed at the desired locations by using second generation wavelets. The quality of geographical surface representation after using proposed technique is compared with the original UDAR data. The results show that this method can be used for significant reduction of data set.

A Study on the Image Elements of Sustainable Fashion Design - Focusing on up-cycling bags products - (지속 가능 패션 디자인의 이미지 요소에 관한 연구 - 업사이클링 가방 상품 중심으로 -)

  • Liu Xin;Jae Yoon Chung
    • Journal of the Korea Fashion and Costume Design Association
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    • v.25 no.2
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    • pp.1-16
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    • 2023
  • Due to the current seriousness of environmental pollution and the eco-friendly movement of the fashion industry, research on sustainable fashion design is being actively conducted. In this study, consumer perception of upcycling products, are divided into image, function, and meaning; and image is further divided into shape, color, and material. It was redefined as pattern, and image recognition was evaluated among men and women in their 20s and 30s, and men and women in their 40s and 50s used as subjects. First, factors that determine each image were extracted based on qualitative analysis of the precedent cases of upcycling bags, and quantitative analysis of the subjects was induced through a questionnaire. As a result of the analysis of evaluation items related to image association, the average frequency analysis of all subjects for each stimuli and the cognitive variance of the frequency analysis by generation by gender were found to be similar. However, awareness of some stimuli by generation showed a significant difference. Overall, in the three stimuli with high overall preference, common features, such as the basic box-shaped symmetrical structure, the monochromatic color of the Munsell system, solid and practical texture, and appropriate use of patterns were identified. In addition, it was confirmed that there was a difference with factors such as femininity, simplicity, touch, and splendor in the measurement factors. In conclusion, it is considered that the main significance of this study is that it excluded the recognition and meaning of upcycling products and explored the original design and image elements of products. Therefore, it is expected that this study will be used as a basic data for responding to the gender image of each generation as an alternative method of sustainable fashion design, and it will be an opportunity to expand the scope of the study to a detailed study beyond the biased topic.