• Title/Summary/Keyword: User Application Information

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An Analysis of Key Elements for FinTech Companies Based on Text Mining: From the User's Review (텍스트 마이닝 기반의 자산관리 핀테크 기업 핵심 요소 분석: 사용자 리뷰를 바탕으로)

  • Son, Aelin;Shin, Wangsoo;Lee, Zoonky
    • The Journal of Information Systems
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    • v.29 no.4
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    • pp.137-151
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    • 2020
  • Purpose Domestic asset management fintech companies are expected to grow by leaps and bounds along with the implementation of the "Data bills." Contrary to the market fever, however, academic research is insufficient. Therefore, we want to analyze user reviews of asset management fintech companies that are expected to grow significantly in the future to derive strengths and complementary points of services that have been provided, and analyze key elements of asset management fintech companies. Design/methodology/approach To analyze large amounts of review text data, this study applied text mining techniques. Bank Salad and Toss, domestic asset management application services, were selected for the study. To get the data, app reviews were crawled in the online app store and preprocessed using natural language processing techniques. Topic Modeling and Aspect-Sentiment Analysis were used as analysis methods. Findings According to the analysis results, this study was able to derive the elements that asset management fintech companies should have. As a result of Topic Modeling, 7 topics were derived from Bank Salad and Toss respectively. As a result, topics related to function and usage and topics on stability and marketing were extracted. Sentiment Analysis showed that users responded positively to function-related topics, but negatively to usage-related topics and stability topics. Through this, we were able to extract the key elements needed for asset management fintech companies.

A Study on FIDO UAF Federated Authentication Using JWT Token in Various Devices (다양한 장치에서 JWT 토큰을 이용한 FIDO UAF 연계 인증 연구)

  • Kim, HyeongGyeom;Kim, KiCheon
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.16 no.4
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    • pp.43-53
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    • 2020
  • There are three standards for FIDO1 authentication technology: Universal Second Factor (U2F), Universal Authentication Framework (UAF), and Client to Authenticator Protocols (CTAP). FIDO2 refers to the WebAuthn standard established by W3C for the creation and use of a certificate in a web application that complements the existing CTAP. In Korea, the FIDO certified market is dominated by UAF, which deals with standards for smartphone (Android, iOS) apps owned by the majority of the people. As the market requires certification through FIDO on PCs, FIDO Alliance and W3C established standards that can be certified on the platform-independent Web and published 『Web Authentication: An API for Accessing Public Key Credentials Level 1』 on March 4, 2019. Most PC do not contain biometrics, so they are not being utilized contrary to expectations. In this paper, we intend to present a model that allows login in PC environment through biometric recognition of smartphone and FIDO UAF authentication. We propose a model in which a user requests login from a PC and performs FIDO authentication on a smartphone, and authentication is completed on the PC without any other user's additional gesture.

A Secure Digital Signature Delegation Scheme using CAs (CA를 이용한 안전한 서명 검증 위임 기법)

  • 최연희;박미옥;전문석
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.13 no.6
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    • pp.55-65
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    • 2003
  • To perform the certificate validation processing on the user-side application induces the very considerable overhead because of the complex and time-consuming characteristic of the validation processing. Especially, the verification for digital signature over a certificate can be the major reason of the overhead, since the verification accompanies with the cryptographic calculation over each certificate on the certificate path. In this paper, we propose a new certificate validation scheme can reduce the overhead caused by user-side certificate validation processing and improve the utilization of CAs. As the result, our proposed scheme can not only reduces the overhead for the validation processing by decreasing the cryptographic calculation but also improves the utilization of CAs by employing them to the validation processing.

Real-time Parking Lot Information Service Using Machine Learning-Based Object Detection (머신러닝 기반의 물체 인식을 이용한 실시간 주차장 정보 제공 서비스)

  • Seo, Gyu-seung;Seo, Young-tak;Baek, Chun-ki;Moon, Il-young
    • Journal of Practical Engineering Education
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    • v.13 no.3
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    • pp.491-496
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    • 2021
  • In this thesis, we intend to use CCTVs installed in existing parking lots to understand the current status of parking lots and provide real-time information to users through Android applications. It describes how to set the ROI in the parking area using YOLO V3 and how to provide the number of vacancies that change in real time through the set ROI, and describes how to link CCTV-server-user using IMAGE ZMQ and FIREBASE. The user can know the real-time situation of the parking lot near the destination before arriving through the application and can come up with various measures accordingly.

Design and Implementation of Context-aware Application on Smartphone Using Speech Recognizer

  • Kim, Kyuseok
    • Journal of Advanced Information Technology and Convergence
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    • v.10 no.2
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    • pp.49-59
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    • 2020
  • As technologies have been developing, our lives are getting easier. Today we are surrounded by the new technologies such as AI and IoT. Moreover, the word, "smart" is a very broad one because we are trying to change our daily environment into smart one by using those technologies. For example, the traditional workplaces have changed into smart offices. Since the 3rd industrial revolution, we have used the touch interface to operate the machines. In the 4th industrial revolution, however, we are trying adding the speech recognition module to the machines to operate them by giving voice commands. Today many of the things are communicated with human by voice commands. Many of them are called AI things and they do tasks which users request and do tasks more than what users request. In the 4th industrial revolution, we use smartphones all the time every day from the morning to the night. For this reason, the privacy using phone is not guaranteed sometimes. For example, the caller's voice can be heard through the phone speaker when accepting a call. So, it is needed to protect privacy on smartphone and it should work automatically according to the user context. In this aspect, this paper proposes a method to adjust the voice volume for call to protect privacy on smartphone according to the user context.

Integrated Social Networking Service Management: Comprehensive Approach for Efficient Multi-Platform Management and Enhanced User Experience (SNS 통합 관리 서비스:다중 플랫폼 효율적인 관리와 사용자 경험 강화를 위한 종합적 접근 방식)

  • Sung Jin Kim;Hyun Chul Kwon;Ji Hyun Park;Jae Min OH;Jin Seok Yang;Yun Ho jung
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2023.07a
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    • pp.251-253
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    • 2023
  • 본 연구는 spring framework와 각 SNS들의 API를 활용한 각 플랫폼들을 한 사이트에 연동하여 사용자들이 손쉽게 관리하기 위하여 진행하였다. SNS 통합 플랫폼에서의 중요한 요소는 사용자들의 SNS 관리 시간을 단축시키는 것인데 이를 위해 플랫폼들의 게시물들을 한 곳에서 게시, 수정, 삭제 그리고 여러 플랫폼에 게시물을 동시에 업로드하는 기능과 게시물들을 필터링하는 기능을 제공하였다. 이를 통해 사용자의 편의성은 올라가며 더 효율적으로 게시물들을 관리하여 시간을 단축시킬 수 있다.

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Car detection area segmentation using deep learning system

  • Dong-Jin Kwon;Sang-hoon Lee
    • International journal of advanced smart convergence
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    • v.12 no.4
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    • pp.182-189
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    • 2023
  • A recently research, object detection and segmentation have emerged as crucial technologies widely utilized in various fields such as autonomous driving systems, surveillance and image editing. This paper proposes a program that utilizes the QT framework to perform real-time object detection and precise instance segmentation by integrating YOLO(You Only Look Once) and Mask R CNN. This system provides users with a diverse image editing environment, offering features such as selecting specific modes, drawing masks, inspecting detailed image information and employing various image processing techniques, including those based on deep learning. The program advantage the efficiency of YOLO to enable fast and accurate object detection, providing information about bounding boxes. Additionally, it performs precise segmentation using the functionalities of Mask R CNN, allowing users to accurately distinguish and edit objects within images. The QT interface ensures an intuitive and user-friendly environment for program control and enhancing accessibility. Through experiments and evaluations, our proposed system has been demonstrated to be effective in various scenarios. This program provides convenience and powerful image processing and editing capabilities to both beginners and experts, smoothly integrating computer vision technology. This paper contributes to the growth of the computer vision application field and showing the potential to integrate various image processing algorithms on a user-friendly platform

Trends in Utilization of GNSS for E-Healthcare and AI & IoT Field (E-Healthcare와 AI & IoT 분야의 위성항법시스템 최신 활용 동향)

  • Tae-yun Kim;Heui-Seon Park;Jongwon Lim;Suk-seung Hwang
    • Journal of Positioning, Navigation, and Timing
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    • v.13 no.1
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    • pp.15-23
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    • 2024
  • One of the core keywords in the fourth industrial revolution is convergence, and the convergence of the production, distribution, and consumption processes of services is particularly important. The convergence of user services is underway in various industrial fields including mobile communications, healthcare, mobility, artificial intelligence, etc. In order to offer these converged services efficiently, it is necessary to provide accurate user-centric location information, which can be obtained by employing the global navigation satellite system (GNSS). In addition, as we have entered the post-COVID era, the demand for various fields such as a healthcare, customized tourism services, and aviation services based on accurate location information is exploding. In this paper, we present the results of a case study on the current research trends of GNSS used in telemedicine services and AI & IoT fields, and also analyze these results.

A Study on GUI Design about Tablet PC: Focused on Shopping Application of China (태블릿 PC의 GUI 디자인 연구 -중국의 쇼핑 애플리케이션을 중심으로-)

  • Lu, Han-Yi;Seo, Han-Sok
    • The Journal of the Korea Contents Association
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    • v.17 no.7
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    • pp.158-169
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    • 2017
  • In the context of the number of Tablet PC users which increases rapidly, online shopping application has also been a corresponding rapid development. However, as a practical matter, the differences among the consumers' ability will affect the purchase of application for the realization of user needs. Therefore, shopping application in the GUI design to improve consumers use needs to be improved to meet the demands of different users. In view of this problem, this paper has carried on the related research on the GUI design of Tablet PC application, and fully considers the visualization image elements of information transmission, then analyzed the top five shopping application in Chinese market via three visual elements - icon, label and color. In addition, it conducted a questionnaire which based on the object of Tablet PC shopping application Chinese users. Consequently, what obtained is, based on the survey findings, the GUI design proposal which reasonable reflects the shopping application with functionality and designability. Through the research results of this paper, we can get the conclusion that the three kinds of visual GUI elements-icon, label and color- have the influence on the user's usability. In addition, this study can be expected as a reference in the shopping software GUI design.

Object-Oriented Field Information Management Program Developed for Precision Agriculture

  • Sung J. H.;Choi K. M.
    • Agricultural and Biosystems Engineering
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    • v.4 no.2
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    • pp.50-57
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    • 2003
  • This study was conducted to develop software which provides automatic site-specific field data acquisition, data processing, data mapping and management for precision agriculture. The developed software supports acquisition and processing of both digital and analog data streams. The architecture was object-oriented and each component in the architecture was developed as a separate class. In precision agriculture research, the laborious task of manual ground-truth data collection will be avoided using the developed software. In addition, gathering high-density data eliminates the need for interpolation of values for un-sampled areas. This software shows good potential for expansion and compatibility for variable-rate-application (VRA). The FIM (Field Information Management) computer program provides the user with an easy-to-follow process for field information management for precision agriculture.

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