• Title/Summary/Keyword: Web technologies

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Study on Mixed Reality and Brand Storytelling (혼합현실 기술을 이용한 브랜드 스토리텔링에 대한 고찰)

  • Kim, Jung Kyu
    • The Journal of the Convergence on Culture Technology
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    • v.5 no.1
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    • pp.205-210
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    • 2019
  • Alongside the development of communication technologies such as smart phone, 5G, advertisements which have been regarded as nexus of marketing behaviors are treated as surplus entities in our society now. Ad marketers have been focusing on storytelling advertisements via SNS or similar web-services. We are facing another big media changes such as Virtual Reality, Augmented Reality. Especially the current study probes Mixed Reality as the potential key of new storytelling brand marketing with discussing directions and insights based on the narrative transportation theory.

Machine Learning based Bandwidth Prediction for Dynamic Adaptive Streaming over HTTP

  • Yoo, Soyoung;Kim, Gyeongryeong;Kim, Minji;Kim, Yeonjin;Park, Soeun;Kim, Dongho
    • Journal of Advanced Information Technology and Convergence
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    • v.10 no.2
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    • pp.33-48
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    • 2020
  • By Digital Transformation, new technologies like ML (Machine Learning), Big Data, Cloud, VR/AR are being used to video streaming technology. We choose ML to provide optimal QoE (Quality of Experience) in various network conditions. In other words, ML helps DASH in providing non-stopping video streaming. In DASH, the source video is segmented into short duration chunks of 2-10 seconds, each of which is encoded at several different bitrate levels and resolutions. We built and compared the performances of five prototypes after applying five different machine learning algorithms to DASH. The prototype consists of a dash.js, a video processing server, web servers, data sets, and five machine learning models.

Theories, Frameworks, and Models of Using Artificial Intelligence in Organizations

  • Alotaibi, Sara Jeza
    • International Journal of Computer Science & Network Security
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    • v.22 no.11
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    • pp.357-366
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    • 2022
  • Artificial intelligence (AI) is the replication of human intelligence by computer systems and machines using tools like machine learning, deep learning, expert systems, and natural language processing. AI can be applied in administrative settings to automate repetitive processes, analyze and forecast data, foster social communication skills among staff, reduce costs, and boost overall operational effectiveness. In order to understand how AI is being used for administrative duties in various organizations, this paper gives a critical dialogue on the topic and proposed a framework for using artificial intelligence in organizations. Additionally, it offers a list of specifications, attributes, and requirements that organizations planning to use AI should consider.

Analysis of Impact Between Data Analysis Performance and Database

  • Kyoungju Min;Jeongyun Cho;Manho Jung;Hyangbae Lee
    • Journal of information and communication convergence engineering
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    • v.21 no.3
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    • pp.244-251
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    • 2023
  • Engineering or humanities data are stored in databases and are often used for search services. While the latest deep-learning technologies, such like BART and BERT, are utilized for data analysis, humanities data still rely on traditional databases. Representative analysis methods include n-gram and lexical statistical extraction. However, when using a database, performance limitation is often imposed on the result calculations. This study presents an experimental process using MariaDB on a PC, which is easily accessible in a laboratory, to analyze the impact of the database on data analysis performance. The findings highlight the fact that the database becomes a bottleneck when analyzing large-scale text data, particularly over hundreds of thousands of records. To address this issue, a method was proposed to provide real-time humanities data analysis web services by leveraging the open source database, with a focus on the Seungjeongwon-Ilgy, one of the largest datasets in the humanities fields.

Data-centric Smart Street Light Monitoring and Visualization Platform for Campus Management

  • Somrudee Deepaisarn;Paphana Yiwsiw;Chanon Tantiwattanapaibul;Suphachok Buaruk;Virach Sornlertlamvanich
    • Journal of information and communication convergence engineering
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    • v.21 no.3
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    • pp.216-224
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    • 2023
  • Smart lighting systems have become increasingly popular in several public sectors because of trends toward urbanization and intelligent technologies. In this study, we designed and implemented a web application platform to explore and monitor data acquired from lighting devices at Thammasat University (Rangsit Campus, Thailand). The platform provides a convenient interface for administrative and operative staff to monitor, control, and collect data from sensors installed on campus in real time for creating geographically specific big data. Platform development focuses on both back- and front-end applications to allow a seamless process for recording and displaying data from interconnected devices. Responsible persons can interact with devices and acquire data effortlessly, minimizing workforce and human error. The collected data were analyzed using an exploratory data analysis process. Missing data behavior caused by system outages was also investigated.

DEVELOPMENT OF INFORMATION MANAGEMENT SYSTEM FOR BUILDING MATERIAL

  • Choong Han Han;Ki Bum Ju
    • International conference on construction engineering and project management
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    • 2009.05a
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    • pp.1383-1387
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    • 2009
  • As information technologies in construction field get developed, various studies and projects are in progress for improvement of construction industry. Meanwhile, web-basis online system for building materials is tending upward. However, most of the informations about classification system for building materials and specifications are not systematic yet. Most field staffs have some troubles in making full use of the material information, repeating inefficient works from constructional design to the maintenance of it. This study designed auto-categorization system classified by materials, multi-search engines, auto-converting/creating electronic catalog as well as RFID search support to provide standardized building materials information.

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OBSERVATION ERROR OF TIME-LAPSED PHOTOS IN CONSTRUCTION OPERATION MONITORING

  • Jiwon Choi;Julian Kang
    • International conference on construction engineering and project management
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    • 2005.10a
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    • pp.1042-1047
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    • 2005
  • A web-based camera (webcam) is expected to enhance construction operation monitoring. However, webcams are often installed outside a building because their mobility is limited by cable wiring, which makes it difficult to monitor construction operations inside the building. If a webcam is integrated with emerging wireless communication technologies, construction professionals may be able to monitor interior construction operations using webcams without getting network cables wired on a congested and dynamic construction job site. However, one may concern that wireless communication may not be fast enough to transport all webcam images seamlessly. This paper presents an investigation as to the observation error of webcam images when a limited amount of images are delivered.

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MOBILE COMPUTER BASED CLASSROOM ASSESSMENT

  • Chul S. Kim;Laura A. Lucas
    • International conference on construction engineering and project management
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    • 2005.10a
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    • pp.924-928
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    • 2005
  • Formative assessment of student progress and attitudes is important to our continuous improvement process, but collecting and compiling the data is burdensome without access to computer tools. This research is to set up a mobile computer based lab that will enable faculty who teach in rooms without computers to use testing and survey tools. The technologies necessary to develop such system including wireless communication, World Wide Web (WWW), database, and mobile computing are investigated in this research. The real-time based formative assessment of student is proposed. A hardware configuration for real-time assessment is also presented in the research.

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Therapeutic effect of marine bioactive substances against periodontitis based on in vitro, in vivo, and clinical studies

  • Tae-Hee Kim;Se-Chang Kim;Won-Kyo Jung
    • Fisheries and Aquatic Sciences
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    • v.26 no.1
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    • pp.1-23
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    • 2023
  • Marine bioactive substances (MBS), such as phlorotannins, collagens, peptides, sterols, and polysaccharides, are increasing attention as therapeutic agents for several diseases due to their pharmacological effects. Previous studies have demonstrated the biological activities of MBS including antibacterial, anticoagulant, antidiabetic, antimicrobial, anti-inflammatory activities. Among numerous human diseases, periodontitis is one of the high-prevalence inflammatory diseases in the world. To treat periodontitis, several surgeries (bone grafting, flap surgery, and soft tissue graft) are usually used. However, the surgery for patients with chronic periodontitis induces several side effects, including additional inflammatory responses at the operated site, chronic wound healing, and secondary surgery. Therefore, this review assessed the most recent trends in MBS using Google Scholar, PubMed, and Web of Science search engines to develop marine-derived therapeutic agents for periodontitis. Further, we summarized the current applications and therapeutic potential of MBS to serve as a reference for developing novel technologies applied to MBS against periodontitis treatment.

A Cost-aware Scheduling for Reservation-Based Long Running Transactions (예약기반 장기수행 변동처리를위한 비용인지 시간계획)

  • Lin, Qing;Pham, Phuoc Hung;Byun, Jeong Yong
    • Annual Conference of KIPS
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    • 2011.11a
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    • pp.1248-1251
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    • 2011
  • Web Service technologies make the automation of business activities that are distributed across multiple enterprises possible. Existing extended transaction protocols typically resort to compensation actions to regain atomicity and consistency. A reservation-based transaction protocol is proposed to reduce high compensation risk. However, for a serial long running transaction processing, the resource that is reserved in the early stage may be released due to resource holding time expires. Therefore, our analysis theoretically illustrates a scheduling scheme that tries to prevent the loss of resource holding as well as gain an optimized execution plan with minimum compensation cost. In order to estimate cost of different schedules, we set up a costing model and cost metric to quantize compensation risk.