• Title/Summary/Keyword: Virtual user identification

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Joint Virtual User Identification and Channel Security En/Decoding Method for Ad hoc Network

  • Zhang, Kenan;Li, Xingqian;Ding, Kai;Li, Li
    • International Journal of Computer Science & Network Security
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    • v.22 no.11
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    • pp.241-247
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    • 2022
  • Ad hoc network is self-organized network powered by battery. The reliability of virtual user identification and channel security are reduced when SNR is low due to limited user energy. In order to solve this problem, a joint virtual user identification and channel security en/decoding method is proposed in this paper. Transmitter-receiver-based virtual user identification code is generated by executing XOR operation between orthogonal address code of transmitter and pseudo random address code of receiver and encrypted by channel security code to acquire orthogonal random security sequence so as to improve channel security. In order to spread spectrum as well as improve transmission efficiency, data packet is divided into 6-bit symbols, each symbol is mapped with an orthogonal random security sequence. Subspace-based method is adopted by receiver to process received signal firstly, and then a judgment model is established to identify virtual users according to the previous processing results. Simulation results indicate that the proposed method obtains 1.6dB Eb/N0 gains compared with reference methods when miss alarm rate reaches 10-3.

The Effects of User Experience-Based Design Innovativeness on User-Metaverse Platform Channel Relationships in South Korea

  • JEON, Joo-Eon
    • Journal of Distribution Science
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    • v.19 no.11
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    • pp.81-90
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    • 2021
  • Purpose: The purpose of this research is that Metaverse platforms' UXBDI can be distinguished among Metaverse platform channel types. Metaverse platform represents a collective term signifying services that include augmented reality, lifelogging, mirror worlds, and virtual worlds. User Experience-Based Design Innovativeness (UXBDI) is characterized by novelty in product design and services that satisfy user experience. This study examined the effect of Metaverse platforms' UXBDI on user-Metaverse platform relationships. Research design, data and methodology: Metaverse platform users were selected as samples, and a marketing research institution known as a panel company conducted the survey. It used multiple regression to test the impact on platform identification and commitment based on a survey of 442 South Korean respondents. Results: The research confirmed that UXBDI sub-dimensional scales of attractiveness and interaction increased user-Metaverse platform identification and commitment. Also, a Metaverse platform identity increased user-Metaverse platform identification in virtual and mirror worlds. Conclusion: This study contributes to multiple academic fields. First, the UXBDI of Metaverse platforms appears to be a key component of ongoing user-Metaverse relationships. Second, UXBDI affects relationships differently based on the Metaverse platform type.

Proposal of Safe PIN Input Method on VR (VR 상에서의 안전한 PIN 입력 방법 제안)

  • Kim, Hyun-jun;Kwon, Hyeok-dong;Kwon, Yong-bin;Seo, Hwa-jeong
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.23 no.5
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    • pp.622-629
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    • 2019
  • VR(Virtual Reality), which provides realistic services in virtual reality, provides a similar experience using a Head Mounted Display(HMD) device. When the HMD device is worn, it can not recognize the surrounding environment and it is easy to analyze the input pattern of the user with the Shoulder Surfing Attack(SSA) when entering the Personal Identification Number(PIN). In this paper, we propose a method to safeguard the user's password even if the hacker analyzes the input pattern while maintaining the user's convenience. For the first time, we implemented a new type of virtual keypad that deviates from the existing rectangle shape according to the VR characteristics and implemented the lock object for intuitive interaction with the user. In addition, a smart glove using the same sensor as the existing input devices of the VR and a PIN input method suitable for the rotary type are implemented and the safety of the SSA is verified through experiments.

The Effect of Ideal Avatar on Virtual Brand Experience in XR Platform

  • Joo-Eon JEON
    • Journal of Distribution Science
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    • v.21 no.10
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    • pp.109-121
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    • 2023
  • Purpose: This study aims to verify whether avatars that embody different brand concepts offer different experiences to users. Furthermore, this study explores the relationship between user identification with avatars and their actual brand purchase intentions. Research design, data and methodology: The research design employed a between-subjects approach, with two independent variables: brand concept and avatar. The measured dependent variables were brand experience in extended reality (XR) and purchase intention. Additionally, brand attitude served as a control variable. Results: First, in virtual brand spaces with symbolic benefits, ideal avatars were found to elicit higher levels of brand experience than actual avatars. Specifically, participants reported elevated levels of entertainment and relational assembly experiences in symbolic brand spaces. Second, this research reveals that the relationship between users' identification with avatars and their intention to make actual brand purchases is mediated by brand experience in XR. Conclusions: The findings suggest that ideal avatars evoke higher levels of brand experience within symbolic brand spaces, particularly in entertainment, relational connection, and a sense of community. Furthermore, this study establishes the role of brand experience in XR as a mediator between avatar identification and purchase intentions.

The Image Summarization Algorithm for Reviewing the Virtual Reality Experience (가상현실 경험을 복습시켜주는 사진 정리 알고리즘)

  • Kwak, Eun-Joo;Cho, Yong-Joo;Cho, Hyun-Sang;Park, Kyoung-Shin
    • The KIPS Transactions:PartB
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    • v.15B no.3
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    • pp.211-218
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    • 2008
  • In this paper, we proposed a new image summarization algorithm designed for automatically summarizing user's snapshot photos taken in a virtual environment based on user's context information and educational contents, and then presenting a summarized photos shortly after user's virtual reality experience. While other image summarization algorithms used date, location, and keyword to effectively summarize a large amount of photos, this algorithm is intended to improve users' memory retention by recalling their interests and important educational contents. This paper first describes some criteria of extracting the meaningful images to improve learning effects and the identification rate calculations, followed by the system architecture that integrates the virtual environment and the viewer interface. It will also discuss a user study to model the algorithm's optimal identification rate and then future research directions.

Development of virtual reality simulation game synchronized with real robot (로봇과 동기화된 가상현실 시뮬레이션 게임의 개발)

  • Shim, Jae-Youn;Yoo, Hwan-Soo;Sung, Hyun-Seong
    • Journal of Korea Game Society
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    • v.18 no.4
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    • pp.33-42
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    • 2018
  • Virtual reality can user experience the virtual world of computer and stimulate user eyesight and emotions. HMD can acquire and stimulate user behavior and sensory information. In this paper, we propose a virtual reality game using robot control. Controlling the robots using various interfaces and synchronizing them with the virtual reality game. In this paper, we use OID mat for robot movement detection based optical code recognition and Kalman filter.

Metaverse Platform Customer Review Analysis Using Text Mining Techniques (텍스트 마이닝 기법을 활용한 메타버스 플랫폼 고객 리뷰 분석)

  • Hye Jin Kim;Jung Seung Lee;Soo Kyung Kim
    • Journal of Information Technology Applications and Management
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    • v.31 no.1
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    • pp.113-122
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    • 2024
  • This comprehensive study delves into the analysis of user review data across various metaverse platforms, employing advanced text mining techniques such as TF-IDF and Word2Vec to gain insights into user perceptions. The primary objective is to uncover the factors that contribute to user satisfaction and dissatisfaction, thereby providing a nuanced understanding of user experiences in the metaverse. Through TF-IDF analysis, the research identifies key words and phrases frequently mentioned in user reviews, highlighting aspects that resonate positively with users, such as the ability to engage in creative activities and social interactions within these virtual environments. Word2Vec analysis further enriches this understanding by revealing the contextual relationships between words, offering a deeper insight into user sentiments and the specific features that enhance their engagement with the platforms. A significant finding of this study is the identification of common grievances among users, particularly related to the processes of refunds and login, which point to broader issues within payment systems and user interface designs across platforms. These insights are critical for developers and operators of metaverse platforms, suggesting a focused approach towards enhancing user experiences by amplifying positive aspects. The research underscores the importance of continuous improvement in user interface design and the transparency of payment systems to foster a loyal user base. By providing a comprehensive analysis of user reviews, this study offers valuable guidance for the strategic development and optimization of metaverse platforms, ensuring they remain responsive to user needs and continue to evolve as vibrant, engaging virtual environments.

User-customized Interaction using both Speech and Face Recognition (음성인식과 얼굴인식을 사용한 사용자 환경의 상호작용)

  • Kim, Sung-Ill;Oh, Se-Jin;Lee, Sang-Yong;Hwang, Seung-Gook
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2007.04a
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    • pp.397-400
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    • 2007
  • In this paper, we discuss the user-customized interaction for intelligent home environments. The interactive system is based upon the integrated techniques using both speech and face recognition. For essential modules, the speech recognition and synthesis were basically used for a virtual interaction between user and proposed system. In experiments, particularly, the real-time speech recognizer based on the HM-Net(Hidden Markov Network) was incorporated into the integrated system. Besides, the face identification was adopted to customize home environments for a specific user. In evaluation, the results showed that the proposed system was easy to use for intelligent home environments, even though the performance of the speech recognizer did not show a satisfactory results owing to the noisy environments.

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Concept of the Cloud Type Virtual Policy Based Network Management Scheme for the Whole Internet

  • Kazuya, Odagiri;Shogo, Shimizu;Naohiro, Ishii
    • International Journal of Computer Science & Network Security
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    • v.23 no.1
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    • pp.71-77
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    • 2023
  • In the current Internet system, there are many problems using anonymity of the network communication such as personal information leaks and crimes using the Internet system. This is why TCP/IP protocol used in Internet system does not have the user identification information on the communication data, and it is difficult to supervise the user performing the above acts immediately. As a study for solving the above problem, there is the study of Policy Based Network Management (PBNM). This is the scheme for managing a whole Local Area Network (LAN) through communication control for every user. In this PBNM, two types of schemes exist. As one scheme, we have studied theoretically about the Destination Addressing Control System (DACS) Scheme with affinity with existing internet. By applying this DACS Scheme to Internet system management, we will realize the policy-based Internet system management. In this paper, to realize it, concept of the Internet PBNM Scheme is proposed as the final step.

User Information Collection of Weibo Network Public Opinion under Python

  • Changhua Liu;Yanlin Han
    • Journal of Information Processing Systems
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    • v.19 no.3
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    • pp.310-322
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    • 2023
  • Although the network environment is gradually improving, the virtual nature of the network is still the same fact, which has brought a great influence on the supervision of Weibo network public opinion dissemination. In order to reduce this influence, the user information of Weibo network public opinion dissemination is studied by using Python technology. Specifically, the 2019 "Ethiopian air crash" event was taken as the research subject, the relevant data were collected by using Python technology, and the data from March 10, 2019 to June 20, 2019 were constructed by using the implicit Dirichlet distribution topic model and the naive Bayes classifier. The Weibo network public opinion user identity graph model under the "Ethiopian air crash" on June 20 found that the public opinion users of ordinary netizens accounted for the highest proportion and were easily influenced by media public opinion users. This influence is not limited to ordinary netizens. Public opinion users have an influence on other types of public opinion users. That is to say, in the network public opinion space of the "Ethiopian air crash," media public opinion users play an important role in the dissemination of network public opinion information. This research can lay a foundation for the classification and identification of user identity information types under different public opinion life cycles. Future research can start from the supervision of public opinion and the type of user identity to improve the scientific management and control of user information dissemination through Weibo network public opinion.