• Title/Summary/Keyword: 인터넷 인지

Search Result 759, Processing Time 0.03 seconds

A Study on the Characteristics of Colour Perception According to Light and Dark Mode in the Digital Media Environment (디지털 미디어 환경에서 사용자 환경 모드에 따른 색채 인지 특성 연구)

  • Ji-Young Hong
    • The Journal of the Institute of Internet, Broadcasting and Communication
    • /
    • v.23 no.3
    • /
    • pp.65-70
    • /
    • 2023
  • In recent years, the digital media environment has begun to diversify, with a greater focus being placed on user-centric design. With the development of digital technology, the digital media environment has formed a vast network of information, which supports interactive communication between people, creating a need for user-centric research. Mobile displays, as a representation of the digital media environment, have the advantage of mobility through the use of thin screen displays and low-performance image sensors, which allow for miniaturization and power saving. However, this results in reduced colour accuracy compared to large displays. This study investigates users' colour perception when using dark and light mode mobile displays. Colour perception was measured using a psycho-physical experiment, which controls each colour attribute based on the 12 colours of KS. The results were analysed to determine whether there is a difference in colour perception between dark mode and light mode, and if the difference was statistically significant. Future research directions based on the results are then discussed.

Study of the Relationship between Impulsive Internet Shopping Tendency and Personality (인터넷 쇼핑 충동구매성향과 개인성향의 관계 연구)

  • Yang, Moonhee
    • The Journal of the Korea Contents Association
    • /
    • v.16 no.5
    • /
    • pp.710-719
    • /
    • 2016
  • Impulsive buying has been considered as one of the major negative shopping behavior. Indeed, it happened more easily in the Internet shopping area. This study attempted to examine the influence of personality on the compulsive buying tendency of college students who are actively shopping clothing and apparels through Internet. The results of the current study showed that there are four types of compulsive buying tendency such as 'diversion', 'no-plan', 'buyer/ product-stimuli' and 'promotion-stimuli.' It seemed that personality such as sensation seeking, need-for cognition, self-esteem, and face-consciousness had influence on the impulsive buying tendency. More specifically, people with low self-esteem and high face-consciousness tend to have more impulsive buying tendency. The relationship between each of the impulsive buying tendency and personality had been discussed.

Identification of the Structural Relationship between Presence, Service Quality, Flow and Learning Satisfaction in Mobile Learning (모바일러닝에서 실재감, 서비스의 질, 학습몰입 및 학습만족도 간의 구조적 관계 규명)

  • Joo, Young-Ju;Chung, Ae-Kyung;Kang, Jeong-Jin;Jung, Bo-Kyung
    • The Journal of the Institute of Internet, Broadcasting and Communication
    • /
    • v.15 no.4
    • /
    • pp.169-175
    • /
    • 2015
  • The purpose of this study is to investigate the structural relationships among teaching presence, cognitive presence, social presence, service quality, learning flow, and learners' satisfaction in mobile learning. Survey data collected by 255 learners who completed mobile-supported courses offered by an online university in South Korea were analyzed using structural equation modeling. The results suggest that cognitive presence, social presence, and service quality have direct effects on learning flow, and that cognitive presence, service quality, and learning flow have direct effects on learners' satisfaction.

Game-type Recognition Rehabilitation System based on Augmented Reality through Object Understanding (증강현실 기반의 물체 인식을 통한 게임형 인지 재활 시스템)

  • Lim, Myung-Jea;Jung, Hee-Woong;Lee, Ki-Young
    • The Journal of the Institute of Internet, Broadcasting and Communication
    • /
    • v.11 no.3
    • /
    • pp.93-98
    • /
    • 2011
  • In this paper, we propose a game type cognitive rehabilitation system using marker-based augmented reality system for intelligence development of user. Existing cognitive rehabilitation with the help of others, or a keyboard or mouse operation required to relieve the discomfort, the marker card only control it led and is advanced the method which it applied. As a result, obtained through the camera calibration for image processing, and a Augmented Reality as well as mark detection. In this paper we presented a complete rotation of the model after checking through the whole form, through a combination of multiple markers by completing the interactive objects proceed with the rehabilitation process in a manner required by the target of interest to human rehabilitation and treatment.

ITU-T SG17 국제표준화 동향 및 향후 전망

  • Oh, Heung-Ryong;Kim, Youngwha;Youm, HeungYoul
    • Review of KIISC
    • /
    • v.23 no.3
    • /
    • pp.5-13
    • /
    • 2013
  • 정보보호 분야의 국제표준화는 기술들의 특성 및 참여하는 사용자들의 관점에 따라 다양한 국제표준화기구에서 국제표준개발 및 관련 연구가 진행되고 있다. 즉, ITU-T SG17(보안)에서는 전기통신(Telecommunication) 관점에서 통신망에 적용 가능한 응용기술들을 중심으로 국제표준화가 추진되고 있으며, ISO/IEC JTC1/SC27(정보보호)에서는 정보보호 원천기술들에 대한 국제표준화를 다루며, IETF Security Area에서는 인터넷 서비스의 품질 보장 및 향상된 인터넷 환경 구축을 위한 산업체 중심의 사실표준을 추진하고 있다. 그리고 유럽 및 아시아 지역에서 국가간에 정보통신 표준화와 국제표준화 기구들에 대한 공동 대응을 위한 ETSI, ASTAP, CJK Security WG 등에서도 지역 내 정보보호 표준화 활동들이 이루어지고 있다. 또한, 이러한 국제표준기구는 참여하는 이해 당사자가 국가(National Body)인지 혹은 산업체 등의 이해당사자들 간에 참여인지에 따라 특성 또한 달라지며, 표준을 개발하는 절차가 공식적인 방법에 따른 것인지 이해 당사자들 간에 합의에 의한 것인지에 따라 구분될 수도 있다. 본 논문에서는 2011년 11월, 두바이에서 개최된 ITU-T WTSA-12(세계정보통신표준총회) 국제회의 결과를 바탕으로 향후 4년간의 ITU-T SG17 국제표준화 활동 방향에 대한 정보를 제공하고자 한다.

Column-aware Polarization Scheme for High-Speed Database Systems (고속 데이터베이스 시스템을 위한 컬럼-인지 양분화 기법)

  • Byun, Si-Woo
    • Journal of Internet Computing and Services
    • /
    • v.13 no.3
    • /
    • pp.83-91
    • /
    • 2012
  • Recently, column-oriented storage has become a progressive model for high-speed database systems because of its superior I/O performance. In this paper, we analysis traditional raw-oriented storage model and then propose a new column-aware storage management model using flash memory drive and assist drive to improve the effective performance of the high-speed column-oriented database system. Our storage management scheme called column-aware polarization improves the performance of update operation by dividing and compressing table columns into active-columns or inactive-columns, and balancing congested update operations using a assist drive in high workload periods. The results obtained from experimental tests show that our scheme improves the update throughput of column-oriented storage by 19 percent, and the response time by up to 49 percent.

Comparison of Learning Immersion Experiences According to Cognitive Style in Online Edu-games (온라인 교육용 게임에서의 인지양식에 따른 학습 몰입경험 비교)

  • Kang, Eun-Kyougn;Kim, Han-Il
    • The Journal of Korean Association of Computer Education
    • /
    • v.13 no.4
    • /
    • pp.61-68
    • /
    • 2010
  • One often thinks that those doing any activity on the Internet are likely to be addicted to it so that they tend to rather restrain the educational use of what the Internet can provide. However, the online edu-games deserve a good learning material which can not only provoke learners' interest but also draw out a smoother interaction between teachers and learners. Even the preliminary study on immersion verified that the Internet could work positively for the learners. Considering that online edu-games can be a useful tool for individual learning, more studies on immersion should be conducted focusing on the individualization in the future. This paper shows the differences among the components of learning immersion depending on the different individual cognitive styles in the online edu-games.

  • PDF

Method of Spectrum Sensing and Energy Harvesting in Cognitive Communication Network (인지 통신 네트워크의 스펙트럼 감지 및 전력 수집 방안)

  • Kim, Tae-Wook;Kong, Hyung-Yun
    • The Journal of the Institute of Internet, Broadcasting and Communication
    • /
    • v.15 no.2
    • /
    • pp.45-49
    • /
    • 2015
  • In this paper, we proposed not specturm sensing but also save energy without consume energy of secondary network that spectrum sensing of cognitive applied energy harvesting scheme. Algorithms of sensing and harvesting is determine active or idle of primary network, compares the amount of energy that is harvested by energy harvesting scheme with the threshold. If secondary network to send a message and primary network is active, by changing frequency to use the spectrum. Further, if secondary network have no message, continues energy harvest. Therefore, spectrum sensing applied energy harvesting scheme, energy of secondary network is remove waste and charge energy, efficiency and utilization of cognitive network can be increase.

Selection Based Cooperative Spectrum Sensing in Cognitive Radio (무선인지시스템을 위한 선택적 협력 스펙트럼 검출 기법)

  • Nhan, Nguyen Thanh;Kong, Hyung-Yun;Koo, In-Soo
    • Journal of Internet Computing and Services
    • /
    • v.12 no.2
    • /
    • pp.1-8
    • /
    • 2011
  • In this paper, we propose an effective method for cooperative spectrum sensing in cognitive radios where cognitive user(CR) with the highest reliability sensing data is only selected and allowed to report its local decision to FC as only decision making node. The proposed scheme enables CR users to implicitly compare their sensing data reliabilities based on their likelihood ratio, without any collaboration among cognitive radio users. Due to the mechanism, the proposed cooperative scheme can achieves a high spectrum sensing performance while only requiring extremely low cooperation resources such as signaling overhead and cooperative time in comparison with other existing methods such as maximum ratio combination (MRC) based, equal gain combination (EGC) based and conventional hard combination based cooperative sensing methods.

사물인터넷 환경에서의 기계학습

  • Im, Jae-Hyeon;Park, Yun-Gi;Gwon, Jin-Man;Seo, Jeong-Uk
    • Information and Communications Magazine
    • /
    • v.33 no.5
    • /
    • pp.48-54
    • /
    • 2016
  • 우리는 물리적인 현실 세계와 디지털의 가상 세계에서 매일 끊임없이 데이터를 양산해내고 있다. 구글, 아마존, MS, IBM 등의 유수 기업들은 이미 데이터를 수집하고 분석하여 특정 사용자나 불특정 다수에게 다양한 서비스를 제공하면서 새로운 형태의 이윤을 창출하고 있다. 가까운 미래에 사물인터넷(Internet of Things)이 본격적으로 활성화된다면 사람뿐만 아니라 모든 사물들이 인터넷을 통해 데이터를 양산하고 서로 교환하는 그야말로 데이터 빅뱅의 시대가 도래할 것으로 예상된다. 이러한 변혁의 시대에 우리는 사물인터넷을 통해 수집되는 수많은 데이터를 어떻게 활용할 것인지에 대해 진지하게 고민하고 연구할 필요가 있다. 본고에서는 사물인터넷을 통해 수집된 데이터를 효과적으로 활용하기 위해 필요한 핵심기술 중 하나인 기계학습(Machine Learning)에 대해 기본 개념, 종류, 평가방법 등을 설명하고 기계학습 알고리즘 중 딥 러닝(Deep Learning)에 대한 기술 동향을 살펴본 후, 사물인터넷에서 기계학습 프레임워크에 대해 간략히 소개한다.