• 제목/요약/키워드: NetLogo

검색결과 20건 처리시간 0.026초

Object detection in financial reporting documents for subsequent recognition

  • Sokerin, Petr;Volkova, Alla;Kushnarev, Kirill
    • International journal of advanced smart convergence
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    • 제10권1호
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    • pp.1-11
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    • 2021
  • Document page segmentation is an important step in building a quality optical character recognition module. The study examined already existing work on the topic of page segmentation and focused on the development of a segmentation model that has greater functional significance for application in an organization, as well as broad capabilities for managing the quality of the model. The main problems of document segmentation were highlighted, which include a complex background of intersecting objects. As classes for detection, not only classic text, table and figure were selected, but also additional types, such as signature, logo and table without borders (or with partially missing borders). This made it possible to pose a non-trivial task of detecting non-standard document elements. The authors compared existing neural network architectures for object detection based on published research data. The most suitable architecture was RetinaNet. To ensure the possibility of quality control of the model, a method based on neural network modeling using the RetinaNet architecture is proposed. During the study, several models were built, the quality of which was assessed on the test sample using the Mean average Precision metric. The best result among the constructed algorithms was shown by a model that includes four neural networks: the focus of the first neural network on detecting tables and tables without borders, the second - seals and signatures, the third - pictures and logos, and the fourth - text. As a result of the analysis, it was revealed that the approach based on four neural networks showed the best results in accordance with the objectives of the study on the test sample in the context of most classes of detection. The method proposed in the article can be used to recognize other objects. A promising direction in which the analysis can be continued is the segmentation of tables; the areas of the table that differ in function will act as classes: heading, cell with a name, cell with data, empty cell.

퍼지집합과 피드백 기반의 시스템 다이나믹스를 이용한 소셜네트웍의 반응 분석 모델 (Response Analysis Model of Social Networks Using Fuzzy Sets and Feedback-Based System Dynamics)

  • 조민호
    • 한국전자통신학회논문지
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    • 제12권5호
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    • pp.797-804
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    • 2017
  • 소셜네트웍은 네트워크와 이터레이션의 특성을 모두 가지는 대표적인 소셜 사이언스 환경이다. 이번 연구는 소셜네트웍에 프로모션이나 인센티브 같은 입력을 주었을 때, 각 노드들이 어떻게 반응하는지에 대한 반응분석 모델을 제시한다. 또한, 각 노드의 반응을 살피면서 특정 노드의 설정 값을 변경한다. 그리고 연관된 노드들의 반응을 파악해 본다. 반응 분석 모델은 단방향, 퍼지집합, 가중치 부여, 순환 피드백 등 다양한 기법을 적용하여 구성되었으므로 실무의 복잡한 환경을 수용할 수 있다. 마지막으로 구현하는 모델은 반복적인 입력, 실시간으로 설정 값을 변경, 노드간의 연관성에 대한 분석을 필요로 하므로 넷로고 보다는 Vensim을 활용하여 구현하였다.

Keypoints-Based 2D Virtual Try-on Network System

  • Pham, Duy Lai;Ngyuen, Nhat Tan;Chung, Sun-Tae
    • 한국멀티미디어학회논문지
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    • 제23권2호
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    • pp.186-203
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    • 2020
  • Image-based Virtual Try-On Systems are among the most potential solution for virtual fitting which tries on a target clothes into a model person image and thus have attracted considerable research efforts. In many cases, current solutions for those fails in achieving naturally looking virtual fitted image where a target clothes is transferred into the body area of a model person of any shape and pose while keeping clothes context like texture, text, logo without distortion and artifacts. In this paper, we propose a new improved image-based virtual try-on network system based on keypoints, which we name as KP-VTON. The proposed KP-VTON first detects keypoints in the target clothes and reliably predicts keypoints in the clothes of a model person image by utilizing a dense human pose estimation. Then, through TPS transformation calculated by utilizing the keypoints as control points, the warped target clothes image, which is matched into the body area for wearing the target clothes, is obtained. Finally, a new try-on module adopting Attention U-Net is applied to handle more detailed synthesis of virtual fitted image. Extensive experiments on a well-known dataset show that the proposed KP-VTON performs better the state-of-the-art virtual try-on systems.

팀 다양성과 과업난이도가 팀 창의성에 미치는 영향 : 다중 에이전트 시뮬레이션 접근방법을 중심으로 (Investigating the Effect of Both Team Diversity and Task Difficulty on Team Creativity : Multi-Agent Simulation Approach)

  • 채성욱;서영욱;이건창
    • 경영과학
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    • 제32권2호
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    • pp.111-124
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    • 2015
  • In the management literature, it has been widely accepted among both researchers and practitioners that the level of team creativity is significantly related to the organizational performance. Besides, researchers posited with confidence that team diversity and task difficulty would affect team creativity through team members' activities of exploration and exploitation. However, empirical approaches to proving this belief suffered from lack of real data and proper methods as well. To tackle the research void like this, we propose a multi-agent simulation (MAS) mechanism. By adopting a set of parameters which validity were proven in the related literature, we conducted a series of experiments in the environment of the MAS platform named NetLogo. There sults suggest that managers can differentiate team diversity strategies according to task difficulty. In the case of a difficult task, managers need to increase team diversity so that their teams can maximize team creativity through rigorous exploration and exploitation. It is desirable to maintain an average level of team diversity when performing an easy task.

자율주행차량의 윤리적 문제 점검을 위한 시뮬레이션 연구 (Analyzing Traffic Impacts of the Utilitarian Robotic Autonomous Vehicle)

  • 임이정;김관용;이자영;황기연
    • 한국ITS학회 논문지
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    • 제16권2호
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    • pp.55-72
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    • 2017
  • 자율주행차량은 다양한 사회 문제를 해결하기 위한 대안으로 각광받고 있다. 자율주행차량의 도입 및 관련 기술 개발 연구가 활발히 진행되고 있으나 자율주행차량에 탑재된 운행 알고리즘에 따른 실제 운행의 영향력에 대한 연구는 미흡한 실정이다. 본 연구에서는 한정된 물리적 환경에서 공리주의와 사회적 합의를 고려하여 차량 운행 중 발생 가능한 상황인 중앙선 침범 상황에 대한 시나리오를 설정하고 시뮬레이션을 통해 윤리적 판단이 필요한 상황에서의 자율주행차량의 운행에 따른 영향을 분석하였다. 분석 결과, 자율주행차량이 안전도를 판단하여 옆 차선으로 차선을 변경한 시나리오에서 사고에 따른 영향이 더 큰 것으로 나타났다. 또한 자율주행차량의 판단에 따라 전방 충돌한 경우, 자율주행차량의 기능에 의해 교통류 개선 효과가 있음을 확인하였다.

도로터널 화재 시의 행위자 기반 대피 시뮬레이션 (Agent-Based Evacuation Simulations of Road Tunnels in the Event of a Fire)

  • 김병일;김창윤;김두연
    • 대한토목학회논문집
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    • 제35권5호
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    • pp.1157-1163
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    • 2015
  • 최근 들어 도로의 선형 개량 및 설계속도 향상으로 인해 장대터널에 대한 수요가 증가함에 따라 대피 시간의 지연과 같은 이용자 취약성이 더욱 높아지고 있다. 향후 도로터널의 장대화 경향은 심화될 전망이므로 화재에 대한 이용자 취약성을 검토하고 효율적 대피 방안을 세우지 못한다면 더 큰 인명 피해가 발생할 수 있을 것이다. 이에 본 연구는 적정시간 안에 이용자들이 대피해야 사상자 발생이 최소화 될 수 있다는 점을 고려해 다양한 상황 조건 아래 대피 시간을 산정하는 연구를 수행하였다. 개발된 모형에서 행위자는 이용자이며, 이들은 퇴피성, 직진성, 좌향성 등의 행위 규칙에 따라 대피를 진행하도록 모형을 설계하였다. 개발된 모형은 ODD 규약에 따라 설명하였고 시뮬레이션을 위해 NetLogo 5.2를 활용해 구현하였다. 이 모형과 두 가지 시나리오를 활용해 현행 피난연결통로 설치지침을 평가하였다. 그 결과 터널 내부의 차량이 정체 수준일 경우 현행 지침은 다소 미흡한 것으로 판명되었다.

자율주행차량 도입에 따른 고속도로 교통류 영향분석 - 경부고속도로 서울-신갈 기본구간을 중심으로 (Impacts of Automated Vehicles on Freeway Traffic-flow - Focused on Seoul-Singal Basic Sections of GyeongBu Freeway -)

  • 박인선;이종덕;이재용;황기연
    • 한국ITS학회 논문지
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    • 제14권6호
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    • pp.21-36
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    • 2015
  • 최근 활발히 개발되고 있는 자율주행차량은 현대사회의 다양한 교통문제를 해결하기 위한 근본적인 대안으로 주목 받고 있으며, 그 효과를 예측하기 위한 연구 또한 지속적으로 진행되어왔다. 하지만 기존연구는 주로 가상의 도로를 대상으로 하여 현 도로교통시스템에 가져올 다양한 편익에 대한 검토는 미비한 상태이다. 이에 본 연구는 자율주행차량 테스트베드 구축 예정구간인 경부고속도로 서울-신갈 기본구간을 대상으로, 자율주행차량 도입에 따른 속도 및 밀도 등 다양한 교통류의 변화를 분석하였다. 분석 결과, 교통량이 적은 서비스수준 A, B 상황에서는 자율주행차량 혼입이 교통류에 부정적인 영향을 미치는 것으로 나타났다. 반면, 교통량이 많아지는 서비스수준 C 이상의 상황에서는 자율주행차량 도입에 따라 평균속도가 증가하고 밀도가 감소하여 교통류에 긍정적인 영향을 미치는 것으로 분석되었다. 이에 따라, 자율주행차량 도입이 교통혼잡 등 다양한 교통문제를 효과적으로 해결할 수 있을 것이라 기대된다.

Analysis of suitable evacuation routes through multi-agent system simulation within buildings

  • Castillo Osorio, Ever Enrique;Seo, Min Song;Yoo, Hwan Hee
    • 한국측량학회지
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    • 제39권5호
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    • pp.265-278
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    • 2021
  • When a dangerous event arises for people inside a building and an immediate evacuation is required, it is important that suitable routes have been previously defined. These situations can happen especially when buildings are crowded, making the occupants have a very high vulnerability and can be trapped if they do not evacuate quickly and safely. However, in most cases, routes are considered based just on their proximity or short distance to the exit areas, and evacuation simulations that include more variables are not performed. This work aims to propose a methodology for building's indoor evacuation activities under the premise of processing simulation scenarios in multi-agent environments. In the methodology, importance indexes of simplified and validated geometry data from a BIM (Building Information Modeling) are considered as heuristic input data in a proposed algorithm. The algorithm is based on AP-Theta* pathfinding and collision avoidance machine learning techniques. It also includes conditioning variables such as the number of people, speed of movement as well as reaction ability of the agents that influence the evacuation times. Moreover, collision avoidance is applied between people or with objects along the route. The simulations using the proposed algorithm are tested in NetLogo for diverse scenarios, showing feasible evacuation routes and calculating evacuation times in a multi-agent environment. The experimental results are obtained by applying the method in a study case and demonstrate the level of effectiveness of the algorithm, and the influence of the conditioning variables analyzed together when performing safe evacuation routes.

A Study on the Meaning and Strategy of Keyword Advertising Marketing

  • Park, Nam Goo
    • 유통과학연구
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    • 제8권3호
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    • pp.49-56
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    • 2010
  • At the initial stage of Internet advertising, banner advertising came into fashion. As the Internet developed into a central part of daily lives and the competition in the on-line advertising market was getting fierce, there was not enough space for banner advertising, which rushed to portal sites only. All these factors was responsible for an upsurge in advertising prices. Consequently, the high-cost and low-efficiency problems with banner advertising were raised, which led to an emergence of keyword advertising as a new type of Internet advertising to replace its predecessor. In the beginning of 2000s, when Internet advertising came to be activated, display advertisement including banner advertising dominated the Net. However, display advertising showed signs of gradual decline, and registered minus growth in the year 2009, whereas keyword advertising showed rapid growth and started to outdo display advertising as of the year 2005. Keyword advertising refers to the advertising technique that exposes relevant advertisements on the top of research sites when one searches for a keyword. Instead of exposing advertisements to unspecified individuals like banner advertising, keyword advertising, or targeted advertising technique, shows advertisements only when customers search for a desired keyword so that only highly prospective customers are given a chance to see them. In this context, it is also referred to as search advertising. It is regarded as more aggressive advertising with a high hit rate than previous advertising in that, instead of the seller discovering customers and running an advertisement for them like TV, radios or banner advertising, it exposes advertisements to visiting customers. Keyword advertising makes it possible for a company to seek publicity on line simply by making use of a single word and to achieve a maximum of efficiency at a minimum cost. The strong point of keyword advertising is that customers are allowed to directly contact the products in question through its more efficient advertising when compared to the advertisements of mass media such as TV and radio, etc. The weak point of keyword advertising is that a company should have its advertisement registered on each and every portal site and finds it hard to exercise substantial supervision over its advertisement, there being a possibility of its advertising expenses exceeding its profits. Keyword advertising severs as the most appropriate methods of advertising for the sales and publicity of small and medium enterprises which are in need of a maximum of advertising effect at a low advertising cost. At present, keyword advertising is divided into CPC advertising and CPM advertising. The former is known as the most efficient technique, which is also referred to as advertising based on the meter rate system; A company is supposed to pay for the number of clicks on a searched keyword which users have searched. This is representatively adopted by Overture, Google's Adwords, Naver's Clickchoice, and Daum's Clicks, etc. CPM advertising is dependent upon the flat rate payment system, making a company pay for its advertisement on the basis of the number of exposure, not on the basis of the number of clicks. This method fixes a price for advertisement on the basis of 1,000-time exposure, and is mainly adopted by Naver's Timechoice, Daum's Speciallink, and Nate's Speedup, etc, At present, the CPC method is most frequently adopted. The weak point of the CPC method is that advertising cost can rise through constant clicks from the same IP. If a company makes good use of strategies for maximizing the strong points of keyword advertising and complementing its weak points, it is highly likely to turn its visitors into prospective customers. Accordingly, an advertiser should make an analysis of customers' behavior and approach them in a variety of ways, trying hard to find out what they want. With this in mind, her or she has to put multiple keywords into use when running for ads. When he or she first runs an ad, he or she should first give priority to which keyword to select. The advertiser should consider how many individuals using a search engine will click the keyword in question and how much money he or she has to pay for the advertisement. As the popular keywords that the users of search engines are frequently using are expensive in terms of a unit cost per click, the advertisers without much money for advertising at the initial phrase should pay attention to detailed keywords suitable to their budget. Detailed keywords are also referred to as peripheral keywords or extension keywords, which can be called a combination of major keywords. Most keywords are in the form of texts. The biggest strong point of text-based advertising is that it looks like search results, causing little antipathy to it. But it fails to attract much attention because of the fact that most keyword advertising is in the form of texts. Image-embedded advertising is easy to notice due to images, but it is exposed on the lower part of a web page and regarded as an advertisement, which leads to a low click through rate. However, its strong point is that its prices are lower than those of text-based advertising. If a company owns a logo or a product that is easy enough for people to recognize, the company is well advised to make good use of image-embedded advertising so as to attract Internet users' attention. Advertisers should make an analysis of their logos and examine customers' responses based on the events of sites in question and the composition of products as a vehicle for monitoring their behavior in detail. Besides, keyword advertising allows them to analyze the advertising effects of exposed keywords through the analysis of logos. The logo analysis refers to a close analysis of the current situation of a site by making an analysis of information about visitors on the basis of the analysis of the number of visitors and page view, and that of cookie values. It is in the log files generated through each Web server that a user's IP, used pages, the time when he or she uses it, and cookie values are stored. The log files contain a huge amount of data. As it is almost impossible to make a direct analysis of these log files, one is supposed to make an analysis of them by using solutions for a log analysis. The generic information that can be extracted from tools for each logo analysis includes the number of viewing the total pages, the number of average page view per day, the number of basic page view, the number of page view per visit, the total number of hits, the number of average hits per day, the number of hits per visit, the number of visits, the number of average visits per day, the net number of visitors, average visitors per day, one-time visitors, visitors who have come more than twice, and average using hours, etc. These sites are deemed to be useful for utilizing data for the analysis of the situation and current status of rival companies as well as benchmarking. As keyword advertising exposes advertisements exclusively on search-result pages, competition among advertisers attempting to preoccupy popular keywords is very fierce. Some portal sites keep on giving priority to the existing advertisers, whereas others provide chances to purchase keywords in question to all the advertisers after the advertising contract is over. If an advertiser tries to rely on keywords sensitive to seasons and timeliness in case of sites providing priority to the established advertisers, he or she may as well make a purchase of a vacant place for advertising lest he or she should miss appropriate timing for advertising. However, Naver doesn't provide priority to the existing advertisers as far as all the keyword advertisements are concerned. In this case, one can preoccupy keywords if he or she enters into a contract after confirming the contract period for advertising. This study is designed to take a look at marketing for keyword advertising and to present effective strategies for keyword advertising marketing. At present, the Korean CPC advertising market is virtually monopolized by Overture. Its strong points are that Overture is based on the CPC charging model and that advertisements are registered on the top of the most representative portal sites in Korea. These advantages serve as the most appropriate medium for small and medium enterprises to use. However, the CPC method of Overture has its weak points, too. That is, the CPC method is not the only perfect advertising model among the search advertisements in the on-line market. So it is absolutely necessary that small and medium enterprises including independent shopping malls should complement the weaknesses of the CPC method and make good use of strategies for maximizing its strengths so as to increase their sales and to create a point of contact with customers.

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재배단계 농산물의 안전성 모의실험을 위한 개체기반 프로그램 개발 (New Tool to Simulate Microbial Contamination of on-Farm Produce: Agent-Based Modeling and Simulation)

  • 한상현;이기훈;양성규;김황용;김현주;류재기
    • 한국식품위생안전성학회지
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    • 제32권1호
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    • pp.8-13
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    • 2017
  • 본 연구는 식중독 세균 등 유해미생물에 의한 농산물 오염을 예측하여 대응방안을 마련할 수 있도록 하는데 필요한 모의실험 computing platform을 개발하고자 수행되었다. 농산물 오염은 그 빈도가 매우 낮고, 발생패턴도 극히 불규칙하여 계량적 요소가 많지 않기 때문에 기존의 광범위하게 활용되는 수리모형(Mathematical Modeling)이나 확률통계모형(Probability Statistical Modeling)을 기반으로 한 예측모형은 개발이 어렵다. 이와는 달리 개체기반모형(Agent-based Model)은 목적지향적인 각 개체들이 내재된 특성에 따라 변화하는 환경에서 상황 의존적 또는 자율적 행동을 하였을 때 나타나는 결과를 바탕으로 앞으로의 변화를 예측하는 모형으로 각 개체들에 대한 간단한 행동규칙과 몇 개의 변수를 활용하여 직관적 분석 가능하기 때문에 농산물의 안전성에 영향을 미치는 여러 개체 (농작물, 오염원, 오염매개자)가 상호작용하는 메커니즘을 모의실험하는 경우에 유용하다. 본 연구에서는 Scala와 Java 프로그래밍 언어에 기반을 둔 개체기반모형 개발환경을 지원하는 전용 소프트웨어인 NetLogo를 이용하여 프로그램을 제작하였다. 개발된 모형은 가상의 엽채류 재배지역을 대상으로 가축 또는 야생동물이 출입할 수 있도록 하였고, 이들 동물이 배설하는 분변에 있는 장관유래 식중독 세균에 의해 토양 오염 또는 농작물 오염이 발생될 수 있도록 하였다. 이 오염은 시간이 지남에 따라 점차 소멸되지만 건전한 동물이 오염된 농작물을 섭취하는 경우 다시 동물의 장내로 들어가게 되어 보균 동물이 될 수 있도록 하였고, 역시 이 보균 동물이 배설하는 분변에 식중독 세균이 있도록 설정하였다. 가상 엽채류 재배환경에서 생존하는 식중독 세균은 파리와 같은 위생해충에 의해 다른 곳의 토양이나 농작물에 옮겨질 수 있게 하였다. 작물체는 60일 동안 생장하고, 동물은 개체군의 밀도 증감이 없으며, 파리는 시간이 지남에 따라 개체군 밀도가 변동될 수 있도록 하였다. 동물 개체수, 파리 개체수, 그리고 초기 오염 작물 개체수를 달리하면서 작물체의 미생물 오염을 시뮬레이션한 결과, 다른 요인들 보다는 동물 개체수가 작물체 오염에 가장 큰 영향을 주는 것으로 판단되었다.