• Title/Summary/Keyword: Automated Division

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Multi-lateral Concurrent Automated Negotiation for Optimal Freight Settlement (최적 수송가격 결정을 위한 다자간 동시 자동협상 방법론 개발)

  • Park, Yong-Sung;Cho, Min-Je;Choi, Hyung-Rim;Kim, Hyun-Soo;Hong, Soon-Goo
    • Journal of Information Technology Services
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    • v.7 no.2
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    • pp.1-12
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    • 2008
  • The development of IT and explosively growing number of Internet users are rapidly spreading and developing e-commerce, while creating diverse on-line transaction methods such as a negotiation, a reverse auction, and a bid. Among these transaction methods, the transactions by means of a negotiation are being made for goods that have no posted price. In particular, the transactions by means of a negotiation are expected to be widely used in the B2B. In order to determine their transportation costs, shippers usually make negotiations with many transporters and logistics companies. And before long, these negotiations are expected to be made on an on-line automated negotiation system. Because of this, this study has tried to develop an automated negotiation methodology that is absolutely necessary for an on-line automated negotiation. This study has estimated and selected the evaluation functions for multi-lateral negotiators' proposals, thus developing an automated negotiation methodology. As a result of this study, a new direction for an automated negotiation has been suggested. Also we expect that this study will be widely used in the automated negotiation of diverse fields.

Applicability Evaluation of Automated Machine Learning and Deep Neural Networks for Arctic Sea Ice Surface Temperature Estimation (북극 해빙표면온도 산출을 위한 Automated Machine Learning과 Deep Neural Network의 적용성 평가)

  • Sungwoo Park;Noh-Hun Seong;Suyoung Sim;Daeseong Jung;Jongho Woo;Nayeon Kim;Honghee Kim;Kyung-Soo Han
    • Korean Journal of Remote Sensing
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    • v.39 no.6_1
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    • pp.1491-1495
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    • 2023
  • This study utilized automated machine learning (AutoML) to calculate Arctic ice surface temperature (IST). AutoML-derived IST exhibited a strong correlation coefficient (R) of 0.97 and a root mean squared error (RMSE) of 2.51K. Comparative analysis with deep neural network (DNN) models revealed that AutoML IST demonstrated good accuracy, particularly when compared to Moderate Resolution Imaging Spectroradiometer (MODIS) IST and ice mass balance (IMB) buoy IST. These findings underscore the effectiveness of AutoML in enhancing IST estimation accuracy under challenging polar conditions.

A Study on Automated Negotiation Methodology for Multi-lateral Concurrent Negotiation

  • Cho Min-Je;Choi Hyung Rim;Kim Hyun Soo;Hong Soon Goo;Park Young Jae;Shim Jung Hoon
    • The Journal of Information Systems
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    • v.14 no.3
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    • pp.89-96
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    • 2005
  • Though studies on negotiations have actively been conducted in the field of e-Commerce so far, some problems have yet to be solved and many application fields of negotiation systems exist. Currently, many businesses shift from various fields to e-Commerce market, due to recent social changes and expansion of e-Commerce market; however, we need to develop the study of automated agents to resolve the issue of negotiation, which is an essential element in the e-Commerce, by minimizing human interference under the e-Commerce environment. In this study, we intend to propose a new negotiation protocol considering the negotiation alternatives through continuous negotiation rounds in relation to an automated negotiation issue whose participants are one to N (seller to buyers). We also present an agent-facilitated negotiation methodology by which negotiation alternative generation process is automated, in consideration of buyer's negotiation attributes and strategies in the negotiation system.

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Automated optimization for memory-efficient high-performance deep neural network accelerators

  • Kim, HyunMi;Lyuh, Chun-Gi;Kwon, Youngsu
    • ETRI Journal
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    • v.42 no.4
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    • pp.505-517
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    • 2020
  • The increasing size and complexity of deep neural networks (DNNs) necessitate the development of efficient high-performance accelerators. An efficient memory structure and operating scheme provide an intuitive solution for high-performance accelerators along with dataflow control. Furthermore, the processing of various neural networks (NNs) requires a flexible memory architecture, programmable control scheme, and automated optimizations. We first propose an efficient architecture with flexibility while operating at a high frequency despite the large memory and PE-array sizes. We then improve the efficiency and usability of our architecture by automating the optimization algorithm. The experimental results show that the architecture increases the data reuse; a diagonal write path improves the performance by 1.44× on average across a wide range of NNs. The automated optimizations significantly enhance the performance from 3.8× to 14.79× and further provide usability. Therefore, automating the optimization as well as designing an efficient architecture is critical to realizing high-performance DNN accelerators.

Growth Monitoring for Soybean Smart Water Management and Production Prediction Model Development

  • JinSil Choi;Kyunam An;Hosub An;Shin-Young Park;Dong-Kwan Kim
    • Proceedings of the Korean Society of Crop Science Conference
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    • 2022.10a
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    • pp.58-58
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    • 2022
  • With the development of advanced technology, automation of agricultural work is spreading. In association with the 4th industrial revolution-based technology, research on field smart farm technology is being actively conducted. A state-of-the-art unmanned automated agricultural production demonstration complex was established in Naju-si, Jeollanam-do. For the operation of the demonstration area platform, it is necessary to build a sophisticated, advanced, and intelligent field smart farming model. For the operation of the unmanned automated agricultural production demonstration area platform, we are building data on the growth of soybean for smart cultivated crops and conducting research to determine the optimal time for agricultural work. In order to operate an unmanned automation platform, data is collected to discover digital factors for water management immediately after planting, water management during the growing season, and determination of harvest time. A subsurface drip irrigation system was established for smart water management. Irrigation was carried out when the soil moisture was less than 20%. For effective water management, soil moisture was measured at the surface, 15cm, and 30cm depth. Vegetation indices were collected using drones to find key factors in soybean production prediction. In addition, major growth characteristics such as stem length, number of branches, number of nodes on the main stem, leaf area index, and dry weight were investigated. By discovering digital factors for effective decision-making through data construction, it is expected to greatly enhance the efficiency of the operation of the unmanned automated agricultural production demonstration area.

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Analysis for the Applicability of Automated Quantity Take-off Technique Using BIM Authoring Tools on Road Construction (BIM 저작도구를 활용한 도로공사 수량산출 자동화 활용성 분석)

  • Moon, Jin-Seok;Sun, Ji-Won;Choi, Won-Sik
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.14 no.10
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    • pp.5184-5191
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    • 2013
  • The automated quantity take off technique using BIM authoring tools has been recently issued, and the studies of this method for the accuracy, efficiency, and the unit computing for the simple volume, area and number have been developed. Meanwhile the main concerns such as the details for the level of modelling, and the costs and time for the calculating BOQ item are still required to study. In this paper, the earth works, drainage works, pavement works, and facility works using BIM authoring tools are designed in 3D, and the applicability of automated quantity take off technique using BIM authoring tools is discussed, respectively. As a result, automated quantity take off are limited in the earth works, drainage works, pavement works, and facility works. But Most items of BOQ can be supported in Re-bar model.

An Automated Design System for Ball-joint Parts of Automobiles (솔리드 모델러 기반의 볼 조인트 부품설계 자동화 시스템)

  • Kang, Jae-Gwan;Lee, Gwang-Il
    • IE interfaces
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    • v.16 no.spc
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    • pp.138-143
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    • 2003
  • In this paper, an automated design system for ball-joint parts based on 3-D solid modeler is developed. Parametric modeling and API provided by 3-D solid modeler is engaged to develope the system which consists of four main modules such as : 3-D part modeling, parts assembling, 2-D drafting, and database interfacing modules. The automated design system is implemented on a computer, and shows us that it shorten the design processing time which have taken over 5 hours to only few minutes.

A study on the current status of private university library's line and staff organization (사립대학도서관의 직제 현황에 관한 연구)

  • 김성수
    • Journal of Korean Library and Information Science Society
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    • v.24
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    • pp.301-334
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    • 1996
  • This study is aimed at examination and analysis of current status of university library's line and staff organization especially the private university's. Motivation for this study is based on the following facts : First, the library work now is changing from the conventional one to automated one. Second, librarians in the front line must be trained in the newly set work because of the separation of work process in automated libraries. Methodologies of this study, apart from theoretical aspects, were visiting and interviewing librarians at 30 university libraries, examining the current status and problems of the line and staff organization of the university libraries. The result from the study is as follows: First, interviewing reveals that 35% of the 75 private university library is having 'associate directorship by librarian' system. Benefits from this system are described, recommending other University libraries adopt this system. This system su n.0, pplements the weak point of concurrent director's office of lay professor, as well as encourages librarian's morale by promotion. Second, the current organization of the university libraries are to be reformed. Namely, 1) the name of each division must be newly and a n.0, ppropriately set of changed suiting for the work of automated library, thus reforming the division. This must be conducted via collection of opinions of the Korean Library and Information Science Society' and associated organizations. 2) Newly formed division(for example, administrative division or division of operation and management, division conducting digital library work, etc.) must be added to the line and staff organization. 3) For information service division, there must be a certain number of subject specialists. 4) Status of the directorship of university library, librarianship, issue of renaming of university library are also described.

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A Study for Automated Division of Composite Walls for Quantity Take-off in Construction Document Phase (실시설계단계에서 수량산출을 위한 복합벽체 자동분할에 관한 연구)

  • Park, Seunghwa;Kim, Heungsoo;Yoon, Dooyung
    • Korean Journal of Computational Design and Engineering
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    • v.20 no.2
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    • pp.124-132
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    • 2015
  • When Building Information Modeling (BIM) was introduced at the early stage, it was only utilized as a three-dimensional visualization tool. Nowadays, however, BIM is being studied for increasing design productivity and managing enormous information on building life cycle. One of the representative research is developing 'common prototype BIM libraries'. BIM data made of common prototype libraries should be utilized in various ways, quantity takeoff, code checking, energy analysis and so on. However, common prototype BIM libraries are not enough to estimate accurate cost. For example, composite wall libraries should be divided into several single objects, wall structure and finishes, for the quantity takeoff and construction cost calculation. In this paper, we are suggesting an automated division algorithm of composite wall and developing a system prototype for it. This study is expected to reduce extra modeling work and contribute to fast and accurate cost calculation in the construction.

A development of automated polishing apparatus for surface quality and uniformity of multi-cavity preform injection mold core (Multi-cavity 프리폼 사출 금형 코어의 표면 품질 및 균일도 향상을 위한 연마 자동화 기구 개발)

  • Lee, Jeong-Won;Seo, Keum-Hee;Yoon, Gil-Sang
    • Design & Manufacturing
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    • v.8 no.2
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    • pp.41-45
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    • 2014
  • Automated polishing apparatus based on the research have been developed. The research is improvement of polishing process for surface quality and uniformity improvement of preform injection mold core. Surface quality of preform core have influence on ejecting and product quality after injection molding. Thus, the current being made by hand to automate the polishing process, the surface of the preform to improve the quality and uniformity improvement. First made a division by analyzing manual process a step-by-step. And draw a mechanism for converting mechanical movement. Automated polishing apparatus for preform core was developed, through which shortens production time and were able to secure the safety of the worker.

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