• Title/Summary/Keyword: Computer technology

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가상 면접관 생성을 위한 Stable Diffusion 기반의 프롬프트 엔지니어링 (Stable Diffusion-based Prompt Engineering for Generating Virtual Interviewers)

  • 김대민;시종욱;손승재;우민식;김성영
    • 한국컴퓨터정보학회:학술대회논문집
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    • 한국컴퓨터정보학회 2023년도 제68차 하계학술대회논문집 31권2호
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    • pp.23-24
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    • 2023
  • 가상 면접은 현대 사회에서 필수적인 기술이지만, 상호작용의 부족으로 인해 한계가 존재한다. 현실적이고 현장감 있는 가상 면접을 구현하기 위해서는 면접관을 자동으로 생성하여 다양한 상황에서의 면접을 진행할 필요가 있다. 본 논문은 Stable Diffusion 기반의 프롬프트 엔지니어링을 통해 가상 면접관 생성에 대한 연구 결과를 제시한다. 프롬프트 엔지니어링은 Stable Diffusion 모델이 생성하는 결과의 품질을 향상시킬 수 있으며 다양한 조건에 따른 실험 결과를 제시한다.

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Diabetes Detection and Forecasting using Machine Learning Approaches: Current State-of-the-art

  • Alwalid Alhashem;Aiman Abdulbaset ;Faisal Almudarra ;Hazzaa Alshareef ;Mshari Alqasoumi ;Atta-ur Rahman ;Maqsood Mahmud
    • International Journal of Computer Science & Network Security
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    • 제23권10호
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    • pp.199-208
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    • 2023
  • The emergence of COVID-19 virus has shaken almost every aspect of human life including but not limited to social, financial, and economic changes. One of the most significant impacts was obviously healthcare. Now though the pandemic has been over, its aftereffects are still there. Among them, a prominent one is people lifestyle. Work from home, enhanced screen time, limited mobility and walking habits, junk food, lack of sleep etc. are several factors that have still been affecting human health. Consequently, diseases like diabetes, high blood pressure, anxiety etc. have been emerging at a speed never witnessed before and it mainly includes the people at young age. The situation demands an early prediction, detection, and warning system to alert the people at risk. AI and Machine learning has been investigated tremendously for solving the problems in almost every aspect of human life, especially healthcare and results are promising. This study focuses on reviewing the machine learning based approaches conducted in detection and prediction of diabetes especially during and post pandemic era. That will help find a research gap and significance of the study especially for the researchers and scholars in the same field.

Dominance-Based Service Selection Scheme with Concurrent Requests

  • Tang, Chaogang;Li, Qing;Xiong, Yan;Wen, Shiting;Liu, An;Zhong, Farong
    • Journal of Computing Science and Engineering
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    • 제6권2호
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    • pp.89-104
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    • 2012
  • In dynamic Web service environments, the performance of the Internet is unpredictable; the reliability and effectiveness of remote Web services are also unclear. Therefore, it can hardly be guaranteed that the quality of Web service (QoWS) attributes of Web services do not fluctuate with the dynamic Web service environments. When a composite service is planned in the context of dynamic service environments, there is another aspect which has not been taken into account by existing works, namely, concurrency - the fact that multiple requests to a composite service may arrive at the same time. Considering the dynamics of Web service environments and concurrency of requests, we propose in this paper a service selection scheme which adopts top-k dominating queries to generate a composition solution rather than only select the best composition solution for a given request. The experimental results have investigated the efficiency and effectiveness of our approach and shown that it outperforms baseline and traditional methods for service selection.

Improving Utilization of GPS Data for Urban Traffic Applications

  • Nguyen, Duc Hai;Nguyen, Tan Phuc;Doan, Khue;Ta, Ho Thai Hai;Pham, Tran Vu;Huynh, Nam;Le, Thanh Van
    • International Journal of Internet, Broadcasting and Communication
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    • 제7권1호
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    • pp.6-9
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    • 2015
  • The use of Intelligent Transportation System (ITS) is promising to bring better solutions for managing and handling the city traffic. This system combines many fields in advanced technology such as Global Positioning System (GPS), Geographic Information System (GIS) and so on. The basement of applications in ITS is the effective collections and data integration tools. The purpose of our research is to propose solutions which involve the use of GPS time series data collected from GPS devices in order to improve the quality of output traffic data. In this study, GPS data is collected from devices attached to vehicles travelling on routes in Ho Chi Minh City (HCMC). Then, GPS data is stored in database system to serve in many transportation applications. The proposed method combines the data usage level and data coverage to improve the quality of traffic data.

EpiLoc: Deep Camera Localization Under Epipolar Constraint

  • Xu, Luoyuan;Guan, Tao;Luo, Yawei;Wang, Yuesong;Chen, Zhuo;Liu, WenKai
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제16권6호
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    • pp.2044-2059
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    • 2022
  • Recent works have shown that the geometric constraint can be harnessed to boost the performance of CNN-based camera localization. However, the existing strategies are limited to imposing image-level constraint between pose pairs, which is weak and coarse-gained. In this paper, we introduce a pixel-level epipolar geometry constraint to vanilla localization framework without the ground-truth 3D information. Dubbed EpiLoc, our method establishes the geometric relationship between pixels in different images by utilizing the epipolar geometry thus forcing the network to regress more accurate poses. We also propose a variant called EpiSingle to cope with non-sequential training images, which can construct the epipolar geometry constraint based on a single image in a self-supervised manner. Extensive experiments on the public indoor 7Scenes and outdoor RobotCar datasets show that the proposed pixel-level constraint is valuable, and helps our EpiLoc achieve state-of-the-art results in the end-to-end camera localization task.

Image Clustering using Color, Texture and Shape Features

  • Sleit, Azzam;Abu Dalhoum, Abdel Llatif;Qatawneh, Mohammad;Al-Sharief, Maryam;Al-Jabaly, Rawa'a;Karajeh, Ola
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제5권1호
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    • pp.211-227
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    • 2011
  • Content Based Image Retrieval (CBIR) is an approach for retrieving similar images from an image database based on automatically-derived image features. The quality of a retrieval system depends on the features used to describe image content. In this paper, we propose an image clustering system that takes a database of images as input and clusters them using k-means clustering algorithm taking into consideration color, texture and shape features. Experimental results show that the combination of the three features brings about higher values of accuracy and precision.

Java2OPC Gateway: 다양한 플랫폼에서의 OPC 접근 (Java2OPC Gateway: OPC Access in Various Platform)

  • 유대승;심민석;박성규;박재희;김종환;이명재
    • 한국정보처리학회:학술대회논문집
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    • 한국정보처리학회 2004년도 춘계학술발표대회
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    • pp.1323-1326
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    • 2004
  • 본 연구에서는 OPC(OLE for Process Control)가 마이크로소프트의 COM(Component Object Model)과 DCOM(Distributed COM) 기술을 사용함으로써 윈도우즈 플랫폼에서 클라이언트 어플리케이션이 개발되어 져야 하는 제약을 해결하기 위하여 Java2OPC Gateway를 제안한다. Java2OPC Gateway는 프로세스 컨트롤 장비와 연결된 OPC 서버쪽과 통신하는 클라이언트의 기능과 다양한 플랫폼에서 프로세스 데이터에 접근하기 위한 자바 어플리케이션과 통신하는 서버의 기능을 가진다. 클라이언트 모듈은 C로 작성되고 서버 모듈은 Java로 작성되어 클라이언트 모듈과 서버 모듈은 JNI(Java Native Interface)로 연결 된다.

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Distributed Kinetic Delaunay Triangulation

  • 유태원;최성희;이현익;이진원
    • 한국정보과학회:학술대회논문집
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    • 한국정보과학회 2005년도 가을 학술발표논문집 Vol.32 No.2 (1)
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    • pp.964-966
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    • 2005
  • This paper proposes a distributed algorithm to maintain the Delaunay triangulation of moving points. We assume that every point is a processor which can only communicate with the adjacent points connected by edges in the Delaunay triangulation. The topology changes of the Delaunay triangulation due to the movement of the points are updated automatically by local operations of the points without any centralized processor or global information.

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