• Title/Summary/Keyword: Feature-Oriented

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The Application of Image-Oriented SNS Marketing Channel for Improving Performance of Online Shopping Malls : Pinterest Case Analysis (온라인 쇼핑몰의 해외시장 성과향상을 위한 이미지 기반 SNS 마케팅 채널의 활용방안 : 핀터레스트 활용사례 분석을 중심으로)

  • Shin, Seol Hee;Kang, Bo Hyeon;Kim, Sang Hyun
    • Journal of Information Technology Services
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    • v.13 no.4
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    • pp.377-396
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    • 2014
  • There is a phenomenon that the consumers from all over the countries are using the Korean online shopping malls, which has settled as a distribution industry. To get the attention of the consumers from other countries, the marketing strategy is important in order for the online shopping malls to go advance abroad. The purpose of this study is to overview the Pinterest, which is a shopping-oriented Social Network Service (SNS) based on the image content. The Pinterest is a valuable online shopping mall marketing channel. By looking at the background growth and feature of service, the existence of the mega SNS as a center in the social business is to see how Pinterest is targeting a niche market. As a result of this study, Pinterest has the advantage against other SNS for joining with online shopping malls because a tendency of the traffic referrals from Pinterest is increasing and the average of the cost of the purchase is high. Therefore, this study is reflecting various cases of utilizing the online shopping malls. In conclusion, Pinterest represents an illustrative case of effective marketing channel of the online shopping malls.

Activity-oriented Modeling of Mass Production System (대량생산 체제의 Simulation을 위한 Activity 중심 Modeling)

  • Choe, Byeong-Gyu;Park, Seong-Ju;Sin, Ha-Yong
    • Journal of Korean Institute of Industrial Engineers
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    • v.12 no.1
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    • pp.119-131
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    • 1986
  • Described in this paper is a modelling methodology for mass production system simulation. The mass production system under consideration consists of various types of flow lines, special purpose production facilities, conveyor lines, palletized carts, and storage facilities. This type of production system is typical in home appliance industry, automobile industry, footwear industry, etc. where a variety of product mix are mass-produced. The modelling methodology is based on the "discrete-event formalism", and an "activity-oriented world view" is adopted to formalize the system description. A distinctive feature of the modelling methodology is that only the static structure (ie, system components) is included in the fixed model. The dynamic structure of the system is specified through a "data-driven" mechanism, which is an extension of the "experimental frame" concept. Each type of system components (ie, flow line, conveyors, carts, etc.) is formally modeled by using Activity Cycle Diagrams. The issue of "model structuring" is also addressed. The modeling methodology has been successfully applied in a real simulation study of a mass production system.

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Solving Inheritance Anomaly using State Abstraction in Concurrent Object Oriented Programming Languages (병행 객체지향 언어에서 상태 추상화를 이용한 상속 변칙의 해결)

  • Lee, Gwang;Lee, Joon
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.3 no.2
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    • pp.373-382
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    • 1999
  • Inheritance and concurrency are the primary feature of object oriented languages, and are especially important for code re-use. They provide maximum computational power and modeling power through concurrency of objects. But, concurrent objects and inheritance have conflicting characteristics, thereby simultaneously use of them causes the problem, so called inheritance anomaly, which requires code redefinition of inherited methods to maintain integrity of objects. In this paper, to solve the inheritance anomaly problems we introduce concept of state abstraction, in which internal states of encapsulated objects are made available from a part of object's external interface. And we design inheritance interface mechanisms which methods are inherited efficiently. In our scheme, we can solve the typical inheritance anomaly problems.

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A Novel of Mobile Commerce and Information Notice System for Local Festival Content Activation based on Location Information (위치 정보기반의 지역 축제 콘텐츠 활성화를 위한 모바일 커머스 및 정보 알림 시스템에 관한 연구)

  • Jung, Se Hoon;Park, Sun Min;Sim, Chun Bo
    • Journal of Korea Multimedia Society
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    • v.18 no.6
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    • pp.780-791
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    • 2015
  • Recently, it is being held festival according to regional and seasonally cultural feature in nationwide. Especially, local festivals are being provided festival information services a variety of forms for tourists depending on development of information device. However, systems to provide notification information of local festivals are not persistent but mostly short term service. In this paper, we propose a mobile commerce and information notification system through festival information alerts and festival surrounding information using local based on service. In addition, we implement a festival information notification system that applies to beacon based on bluetooth in order to inform them on diverse festival. Finally, we take into account in terms of design of system using object-oriented design modeling to improve reusability of proposed system.

A Video based Traffic Light Recognition System for Intelligent Vehicles (지능형 자동차를 위한 비디오 기반의 교통 신호등 인식 시스템)

  • Chu, Yeon Ho;Lee, Bok Joo;Choi, Young Kyu
    • Journal of the Semiconductor & Display Technology
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    • v.14 no.2
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    • pp.29-34
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    • 2015
  • Traffic lights are common in cities and are important cues for the path planning of intelligent vehicles. In this paper, we propose a robust and efficient algorithm for recognizing traffic lights from video sequences captured by a low cost off-the-shelf camera. Instead of using color information for recognizing traffic lights, a shape based approach is adopted. In learning and detection phase, Histogram of Oriented Gradients (HOG) feature is used and a cascade classifier based on Adaboost algorithm is adopted as the main classifier for locating traffic lights. To decide the color of the traffic light, a technique based on histogram analysis in HSV color space is utilized. Experimental results on several video sequences from typical urban environment prove the effectiveness of the proposed algorithm.

Multi-objects detection using HOG and effective individual object tracking (HOG를 이용한 다중객체 검출과 효과적인 개별객체 추적)

  • Choi, Min;Lee, Kyu-won
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2012.10a
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    • pp.894-897
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    • 2012
  • We propose a effective method using the HOG (Histogram of Oriented Gradients) feature vector to track individual objects in an environment which multiple objects are moving. The proposed algorithm consists of pre-processing, object detection and object tracking. We experimented with six videos which have various trajectories and the movement. When occlusion between objects was occurred, we identified individual object by using center and predicted coordinates of moving objects. The algorithm shows 85.45% of tracking rate in the videos we experimented. We expect the proposed system is utilized in security systems which require the alalysis of the position and motion pattern of objects.

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Class Knowledge-oriented Automatic Land Use and Land Cover Change Detection

  • Jixian, Zhang;Yu, Zeng;Guijun, Yang
    • Proceedings of the KSRS Conference
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    • 2003.11a
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    • pp.47-49
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    • 2003
  • Automatic land use and land cover change (LUCC) detection via remotely sensed imagery has a wide application in the area of LUCC research, nature resource and environment monitoring and protection. Under the condition that one time (T1) data is existed land use and land cover maps, and another time (T2) data is remotely sensed imagery, how to detect change automatically is still an unresolved issue. This paper developed a land use and land cover class knowledge guided method for automatic change detection under this situation. Firstly, the land use and land cover map in T1 and remote sensing images in T2 were registered and superimposed precisely. Secondly, the remotely sensed knowledge database of all land use and land cover classes was constructed based on the unchanged parcels in T1 map. Thirdly, guided by T1 land use and land cover map, feature statistics for each parcel or pixel in RS images were extracted. Finally, land use and land cover changes were found and the change class was recognized through the automatic matching between the knowledge database of remote sensing information of land use & land cover classes and the extracted statistics in that parcel or pixel. Experimental results and some actual applications show the efficiency of this method.

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A Basic Study on the Extraction of Dangerous Region for Safe Landing of self-Driving UAMs (자율주행 UAM의 안전착륙을 위한 위험영역 추출에 관한 기초 연구)

  • Chang min Park
    • Journal of Platform Technology
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    • v.11 no.3
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    • pp.24-31
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    • 2023
  • Recently, interest in UAM (Urban Air Mobility, UAM), which can take off and land vertically in the operation of urban air transportation systems, has been increasing. Therefore, various start-up companies are developing related technologies as eco-friendly future transportation with advanced technology. However, studies on ways to increase safety in the operation of UAM are still insignificant. In particular, efforts are more urgent to improve the safety of risks generated in the process of attempting to land in the city center by UAM equipped with autonomous driving. Accordingly, this study proposes a plan to safely land by avoiding dangerous region that interfere when autonomous UAM attempts to land in the city center. To this end, first, the latitude and longitude coordinate values of dangerous objects observed by the sense of the UAM are calculated. Based on this, we proposed to convert the coordinates of the distorted planar image from the 3D image to latitude and longitude and then use the calculated latitude and longitude to compare the pre-learned feature descriptor with the HOG (Histogram of Oriented Gradients, HOG) feature descriptor to extract the dangerous Region. Although the dangerous region could not be completely extracted, generally satisfactory results were obtained. Accordingly, the proposed research method reduces the enormous cost of selecting a take-off and landing site for UAM equipped with autonomous driving technology and contribute to basic measures to reduce risk increase safety when attempting to land in complex environments such as urban areas.

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Expression types and characteristics of photomontage in the contemporary fashion (현대패션에 나타난 포토몽타주의 표현유형과 특성)

  • Kim, Sun Young
    • The Research Journal of the Costume Culture
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    • v.21 no.3
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    • pp.309-323
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    • 2013
  • This study examined the expression mode and feature about photomontage indicated in the 21st century's Contemporary fashion. This intends to have better understanding on photomontage and to provide theoretical explanation to help a creative design development using photomontage in the future. For the research method, review over photomontage concept and its historical background was carried out with relevant literature and precedent studies. Then, analysis was followed about 258 pieces of photomontage application works featured in the four major global collections from 2001S/S to 2011F/W. Among types of photomontage expression in the Contemporary fashion, objects in the nature like animal, plant, scenery picture took up the highest frequency as motive. Other types appeared in the following order: the people-oriented type such as eminent person's figure or partial body, the ready-made image including diverse daily goods in the modern consumption society, a variety of printed stuff like cartoon, newspaper and magazine, the type of photomontage expression through borrowing the earlier famous art pieces or doing the cooperative work with artists in different fields, applications like architecture, land marks in many cities in the world, and interior, things assembled with various images, modified religious images in photomontage from Buddha or holy picture. Therefore, the modern fashion that uses photomontage could possibly feature popularity, naturalism, playfulness and creativity.

Extracting of Features in Code Changes of Existing System for Reengineering to Product Line

  • Yoon, Seonghye;Park, Sooyong;Hwang, Mansoo
    • Journal of the Korea Society of Computer and Information
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    • v.21 no.5
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    • pp.119-126
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    • 2016
  • Software maintenance becomes extremely difficult, especially caused by multiple versions in project-based or customer-oriented software development methodology. For reducing the maintenance cost, reengineering to software product line can be a solution to the software which either is a family of products nevertheless little different functionalities or are customized for each different customer's requirement. At an initial stage of the reengineering, the most important activity in software product line is feature extraction with respect to commonality and variability from the existing system due to verifying functional coverage. Several researchers have studied to extract features. They considered only a single version in a single product. However, this is an obstacle to classify the commonality and variability of features. Therefore, we propose a method for systematically extracting features from source code and its change history considering several versions of the existing system. It enables us to represent functionalities reflecting developer's intention, and to clarify the rationale of variation.