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  • Open Access

    ARTICLE

    View Types and Visual Communication Cues for Remote Collaboration

    Seungwon Kim1, Weidong Huang2, Chi-Min Oh3, Gun Lee4, Mark Billinghurst4, Sang-Joon Lee5,*

    CMC-Computers, Materials & Continua, Vol.74, No.2, pp. 4363-4379, 2023, DOI:10.32604/cmc.2023.034209

    Abstract Over the last several years, remote collaboration has been getting more attention in the research community because of the COVID-19 pandemic. In previous studies, researchers have investigated the effect of adding visual communication cues or shared views in collaboration, but there has not been any previous study exploring the influence between them. In this paper, we investigate the influence of view types on the use of visual communication cues. We compared the use of the three visual cues (hand gesture, a pointer with hand gesture, and sketches with hand gesture) across two view types (dependent and independent views), respectively. We… More >

  • Open Access

    ARTICLE

    Identification and Visualization of Spatial and Temporal Trends in Textile Industry

    Umair Yousaf1, Muhammad Asif1, Shahbaz Ahmed1, Noman Tahir1, Azeem Irshad2, Akber Abid Gardezi3, Muhammad Shafiq4,*, Jin-Ghoo Choi4, Habib Hamam5,6,7,8

    CMC-Computers, Materials & Continua, Vol.74, No.2, pp. 4165-4181, 2023, DOI:10.32604/cmc.2023.026607

    Abstract The research volume increases at the study rate, causing massive text corpora. Due to these enormous text corpora, we are drowning in data and starving for information. Therefore, recent research employed different text mining approaches to extract information from this text corpus. These proposed approaches extract meaningful and precise phrases that effectively describe the text's information. These extracted phrases are commonly termed keyphrases. Further, these key phrases are employed to determine the different fields of study trends. Moreover, these key phrases can also be used to determine the spatiotemporal trends in the various research fields. In this research, the progress… More >

  • Open Access

    ARTICLE

    Mode of Operation for Modification, Insertion, and Deletion of Encrypted Data

    Taek-Young Youn1, Nam-Su Jho2,*

    CMC-Computers, Materials & Continua, Vol.73, No.1, pp. 151-164, 2022, DOI:10.32604/cmc.2022.026653

    Abstract

    Due to the development of 5G communication, many aspects of information technology (IT) services are changing. With the development of communication technologies such as 5G, it has become possible to provide IT services that were difficult to provide in the past. One of the services made possible through this change is cloud-based collaboration. In order to support secure collaboration over cloud, encryption technology to securely manage dynamic data is essential. However, since the existing encryption technology is not suitable for encryption of dynamic data, a new technology that can provide encryption for dynamic data is required for secure cloud-based collaboration.… More >

  • Open Access

    ARTICLE

    A Triple Human-Digital Twin Architecture for Cyber-Physical Systems

    Duansen Shangguan*, Liping Chen, Chang Su, Jianwan Ding, Chan Liu

    CMES-Computer Modeling in Engineering & Sciences, Vol.131, No.3, pp. 1557-1578, 2022, DOI:10.32604/cmes.2022.018979

    Abstract With the development of information and communication technology and the advent of the Internet of Things (IoT) era, cyber-physical system (CPS) is becoming the trend of products or systems. The deep integration and real-time interaction between the physical world and the virtual world expand system functions. Although there are some CPS implementation guidelines, the virtual world is still relatively abstract compared to the concrete physical world that can be touched through the IoT. Besides that, human is a non-negligible CPS endogenous interactive intelligent component. In this paper, we propose a triple human-digital twin architecture, where the physical objects and the… More >

  • Open Access

    ARTICLE

    Flexible Task Scheduling Based on Edge Computing and Cloud Collaboration

    Suzhen Wang1,*, Wenli Wang1, Zhiting Jia1, Chaoyi Pang2

    Computer Systems Science and Engineering, Vol.42, No.3, pp. 1241-1255, 2022, DOI:10.32604/csse.2022.024021

    Abstract With the rapid development and popularization of 5G and the Internet of Things, a number of new applications have emerged, such as driverless cars. Most of these applications are time-delay sensitive, and some deficiencies were found during data processing through the cloud centric architecture. The data generated by terminals at the edge of the network is an urgent problem to be solved at present. In 5 g environments, edge computing can better meet the needs of low delay and wide connection applications, and support the fast request of terminal users. However, edge computing only has the edge layer computing advantage, and… More >

  • Open Access

    ARTICLE

    Fusion-Based Supply Chain Collaboration Using Machine Learning Techniques

    Naeem Ali1, Taher M. Ghazal2,3, Alia Ahmed1, Sagheer Abbas4, M. A. Khan5, Haitham M. Alzoubi6, Umar Farooq7, Munir Ahmad4, Muhammad Adnan Khan8,*

    Intelligent Automation & Soft Computing, Vol.31, No.3, pp. 1671-1687, 2022, DOI:10.32604/iasc.2022.019892

    Abstract Supply Chain Collaboration is the network of various entities that work cohesively to make up the entire process. The supply chain organizations’ success is dependent on integration, teamwork, and the communication of information. Every day, supply chain and business players work in a dynamic setting. They must balance competing goals such as process robustness, risk reduction, vulnerability reduction, real financial risks, and resilience against just-in-time and cost-efficiency. Decision-making based on shared information in Supply Chain Collaboration constitutes the recital and competitiveness of the collective process. Supply Chain Collaboration has prompted companies to implement the perfect data analytics functions (e.g., data… More >

  • Open Access

    ARTICLE

    Modelling Supply Chain Information Collaboration Empowered with Machine Learning Technique

    Naeem Ali1,*, Alia Ahmed1, Leena Anum2, Taher M. Ghazal3,4, Sagheer Abbas5, Muhammad Adnan Khan6,7, Haitham M. Alzoubi8, Munir Ahmad5

    Intelligent Automation & Soft Computing, Vol.30, No.1, pp. 243-257, 2021, DOI:10.32604/iasc.2021.018983

    Abstract Information Collaboration of the supply chain is the domination and control of product flow information from the producer to the customer. The data information flow is correlated with demand fill-up, a role delivering service, and feedback. The collaboration of supply chain information is a complex contrivance that impeccably manages the efficiency flow and focuses on its vulnerable area. As there is always room for growth in the current century, major companies have shown a growing tendency to improve their supply chain’s productivity and sustainability to increase customer consumption in complying with environmental regulations. Therefore, in supply chain collaboration, it is… More >

  • Open Access

    ARTICLE

    Design and Development of Collaborative AR System for Anatomy Training

    Chung Le Van1, Trinh Hiep Hoa1, Nguyen Minh Duc1, Vikram Puri1, Tung Sanh Nguyen2, Dac-Nhuong Le3,4,*

    Intelligent Automation & Soft Computing, Vol.27, No.3, pp. 853-871, 2021, DOI:10.32604/iasc.2021.013732

    Abstract Background: Augmented Reality (AR) incorporates both real and virtual objects in real-time environments and allows single and multi-users to interact with 3D models. It is often tricky to adopt multi-users in the same environment because of the devices’ latency and model position accuracy in displaying the models simultaneously. Method: To address this concern, we present a multi-user sharing technique in the AR of the human anatomy that increases learning with high quality, high stability, and low latency in multiple devices. Besides, the multi-user interactive display (HoloLens) merges with the human body anatomy application (AnatomyNow) to teach and train students, academic… More >

  • Open Access

    ARTICLE

    Comprehensive Long-Term Follow up of Adults with Arterial Switch Operation– European Collaboration for Prospective Outcome Research in Congenital Heart Disease (EPOCH-ASO)–Study Design and Protocols

    Francisco Javier Ruperti-Repilado1,#,*, Magalie Ladouceur2,#, Pastora Gallego3, Laura Dos4, Joaquin Rueda Soriano5, Berto Bouma6, Harald Gabriel7, Markus Schwerzmann1, Judith Bouchardy8,9, Daniel Tobler10,#, Matthias Greutmann11,#

    Congenital Heart Disease, Vol.15, No.5, pp. 309-338, 2020, DOI:10.32604/CHD.2020.012599

    Abstract Background: Long-term outcomes in adults with prior arterial switch operation (ASO) have not yet been well defined. The aim of this study is to elucidate incidence and predictors of adverse cardiac outcomes in a prospectively followed cohort of adults after their ASO. Methods: The comprehensive longterm follow up of adults with ASO is a project within the European collaboration for prospective outcome research in congenital heart disease (EPOCH). It is designed as a prospective, international multicenter cohort study. Consecutive patients (age ≥ 16 years) with prior ASO will be included at 11 European tertiary care centers. Participants will be followed… More >

  • Open Access

    ARTICLE

    Modeling of a Fuzzy Expert System for Choosing an Appropriate Supply Chain Collaboration Strategy

    Kazim Sari

    Intelligent Automation & Soft Computing, Vol.24, No.2, pp. 405-412, 2018, DOI:10.1080/10798587.2017.1352258

    Abstract Nowadays, there has been a great interest for business enterprises to work together or collaborate in the supply chain. It is thus possible for them to gain a competitive advantage in the marketplace. However, determining the right collaboration strategy is not an easy task. Namely, there are several factors that need to be considered at the same time. In this regard, an expert system based on fuzzy rules is proposed to choose an appropriate collaboration strategy for a given supply chain. To this end, firstly, the factors that are significant for supply chain collaboration are extracted via an extensive review… More >

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