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  • Open Access


    An Intelligent Identification Approach of Assembly Interface for CAD Models

    Yigang Wang1, Hong Li1, Wanbin Pan1,*, Weijuan Cao1, Jie Miao1, Xiaofei Ai1, Enya Shen2

    CMES-Computer Modeling in Engineering & Sciences, Vol.137, No.1, pp. 859-878, 2023, DOI:10.32604/cmes.2023.027320

    Abstract Kinematic semantics is often an important content of a CAD model (it refers to a single part/solid model in this work) in many applications, but it is usually not the belonging of the model, especially for the one retrieved from a common database. Especially, the effective and automatic method to reconstruct the above information for a CAD model is still rare. To address this issue, this paper proposes a smart approach to identify each assembly interface on every CAD model since the assembly interface is the fundamental but key element of reconstructing kinematic semantics. First, as the geometry of an… More >

  • Open Access


    Evaluation of Water Transfer Capacity of Poplar with Pectinase Treated under the Solar Interface Evaporation

    Wei Xiong1,2, Dagang Li1,*, Peixing Wei2, Lin Wang2, Qian Feng1

    Journal of Renewable Materials, Vol.11, No.5, pp. 2265-2278, 2023, DOI:10.32604/jrm.2023.025483

    Abstract Poplar wood, which was used as the absorption material for the solar-driven interfacial evaporation, was treated for 3 days, 6 days and 9 days with the pectinase, and then was simulated for photothermal evaporation test at one standard solar radiation intensity (1 kW⋅m−2). The effects of pectinase treatment on cell passage and water migration capacity of poplars were analyzed by the mercury intrusion porosimetry, the scanning electron microscope and fractal theory. It was found that the pit membrane and the ray parenchyma cells of poplar wood were degraded and destroyed after pectinase treatment. Compared with the untreated poplar wood, the evaporation… More >

  • Open Access


    Enhanced Adaptive Brain-Computer Interface Approach for Intelligent Assistance to Disabled Peoples

    Ali Usman1, Javed Ferzund1, Ahmad Shaf1, Muhammad Aamir1, Samar Alqhtani2,*, Khlood M. Mehdar3, Hanan Talal Halawani4, Hassan A. Alshamrani5, Abdullah A. Asiri5, Muhammad Irfan6

    Computer Systems Science and Engineering, Vol.46, No.2, pp. 1355-1369, 2023, DOI:10.32604/csse.2023.034682

    Abstract Assistive devices for disabled people with the help of Brain-Computer Interaction (BCI) technology are becoming vital bio-medical engineering. People with physical disabilities need some assistive devices to perform their daily tasks. In these devices, higher latency factors need to be addressed appropriately. Therefore, the main goal of this research is to implement a real-time BCI architecture with minimum latency for command actuation. The proposed architecture is capable to communicate between different modules of the system by adopting an automotive, intelligent data processing and classification approach. Neuro-sky mind wave device has been used to transfer the data to our implemented server… More >

  • Open Access


    An Efficient Text Recognition System from Complex Color Image for Helping the Visually Impaired Persons

    Ahmed Ben Atitallah1,*, Mohamed Amin Ben Atitallah2,3, Yahia Said4,5, Mohammed Albekairi1, Anis Boudabous6, Turki M. Alanazi1, Khaled Kaaniche1, Mohamed Atri7

    Computer Systems Science and Engineering, Vol.46, No.1, pp. 701-717, 2023, DOI:10.32604/csse.2023.035871

    Abstract The challenge faced by the visually impaired persons in their day-to-day lives is to interpret text from documents. In this context, to help these people, the objective of this work is to develop an efficient text recognition system that allows the isolation, the extraction, and the recognition of text in the case of documents having a textured background, a degraded aspect of colors, and of poor quality, and to synthesize it into speech. This system basically consists of three algorithms: a text localization and detection algorithm based on mathematical morphology method (MMM); a text extraction algorithm based on the gamma… More >

  • Open Access


    Optimization of Interactive Videos Empowered the Experience of Learning Management System

    Muhammad Akram1, Muhammad Waseem Iqbal2,*, M. Usman Ashraf3, Erssa Arif1, Khalid Alsubhi4, Hani Moaiteq Aljahdali5

    Computer Systems Science and Engineering, Vol.46, No.1, pp. 1021-1038, 2023, DOI:10.32604/csse.2023.034085

    Abstract The Learning management system (LMS) is now being used for uploading educational content in both distance and blended setups. LMS platform has two types of users: the educators who upload the content, and the students who have to access the content. The students, usually rely on text notes or books and video tutorials while their exams are conducted with formal methods. Formal assessments and examination criteria are ineffective with restricted learning space which makes the student tend only to read the educational contents and videos instead of interactive mode. The aim is to design an interactive LMS and examination video-based… More >

  • Open Access


    Usability-Driven Mobile Application Development

    Fadwa Yahya1,2,*, Lassaad Ben Ammar1,2, Gasmi Karim3

    Computer Systems Science and Engineering, Vol.45, No.3, pp. 3165-3180, 2023, DOI:10.32604/csse.2023.030358

    Abstract Recently, a specific interest is being taken in the development of mobile application (app) via Model-Based User Interface Development (MBUID) approach. MBUID allows the generation of mobile apps in the target platform(s) from conceptual models. As such it simplified the development process of mobile app. However, the interest is only focused on the functional aspects of the mobile app while neglecting the non-functional aspects, such as usability. The latter is largely considered as the main factor leading to the success or failure of any software system. This paper aims at addressing non-functional aspects of mobile apps generated using MBUID approach.… More >

  • Open Access


    Molecular Dynamics Simulation of Interface Properties between Water-Based Inorganic Zinc Silicate Coating Modified by Organosilicone and Iron Substrate

    Hengjiao Gao1, Yuqing Xiong1,*, Kaifeng Zhang1, Shengzhu Cao1, Mingtai Hu1, Yi Li1, Ping Zhang2, Xiaoli Liu3

    Journal of Renewable Materials, Vol.11, No.4, pp. 1715-1729, 2023, DOI:10.32604/jrm.2022.024023

    Abstract The interface properties of Fe(101)/zinc silicate modified by organo-siloxane (KH-570) was studied by using the method of molecular dynamics simulation. By calculating the temperature and energy fluctuation of equilibrium state, equilibrium concentration distribution, MSD of layer and different groups, and interaction energy of two interface models, the influencing mechanism on the interface properties of adding organosiloxane into coating system was studied at the atomic scale. It shows that the temperature and energy of interface oscillated in a small range and it was exited in a state of dynamic equilibrium within the initial simulation stage (t < 20 ps). It can… More > Graphic Abstract

    Molecular Dynamics Simulation of Interface Properties between Water-Based Inorganic Zinc Silicate Coating Modified by Organosilicone and Iron Substrate

  • Open Access


    Sentiment Analysis with Tweets Behaviour in Twitter Streaming API

    Kuldeep Chouhan1, Mukesh Yadav2, Ranjeet Kumar Rout3, Kshira Sagar Sahoo4, NZ Jhanjhi5,*, Mehedi Masud6, Sultan Aljahdali6

    Computer Systems Science and Engineering, Vol.45, No.2, pp. 1113-1128, 2023, DOI:10.32604/csse.2023.030842

    Abstract Twitter is a radiant platform with a quick and effective technique to analyze users’ perceptions of activities on social media. Many researchers and industry experts show their attention to Twitter sentiment analysis to recognize the stakeholder group. The sentiment analysis needs an advanced level of approaches including adoption to encompass data sentiment analysis and various machine learning tools. An assessment of sentiment analysis in multiple fields that affect their elevations among the people in real-time by using Naive Bayes and Support Vector Machine (SVM). This paper focused on analysing the distinguished sentiment techniques in tweets behaviour datasets for various spheres… More >

  • Open Access


    The Interface of Cancer, Their Microenvironment and Nanotechnology

    Natalia Roque1,#, Diana Matias2,#, Joana Balça-Silva3, Valéria Pereira Ferrer4, Luciana Santos Pessoa1, Tania Cristina Leite de Sampaio e Spohr1,5,*

    Oncologie, Vol.24, No.3, pp. 371-411, 2022, DOI:10.32604/oncologie.2022.024035

    Abstract Cancer is one of the deadliest diseases with a cure far from being found. Despite the extraordinary advances in the therapy approaches, only a few patients respond to treatments. The tumor microenvironment (TME) plays a crucial role in cancer progression by contributing to the chemoresistance. Thus, emerging efforts are being made in nanotechnology research focusing on nanoparticles’ potential role and their application in immune system modulation. Moreover, the omics have contributed to bioengineering and nanotechnology development by elucidating the mechanisms of cancer and specific biomarkers that could be used as new therapeutic targets. Furthermore, the non-coding microRNA as a target… More >

  • Open Access


    User Interface-Based Repeated Sequence Detection Method for Authentication

    Shin Jin Kang1, Soo Kyun Kim2,*

    Intelligent Automation & Soft Computing, Vol.35, No.3, pp. 2573-2588, 2023, DOI:10.32604/iasc.2023.029893

    Abstract In this paper, we propose an authentication method that use mouse and keystroke dynamics to enhance online privacy and security. The proposed method identifies personalized repeated user interface (UI) sequences by analyzing mouse and keyboard data. To this end, an Apriori algorithm based on the keystroke-level model (KLM) of the human–computer interface domain was used. The proposed system can detect repeated UI sequences based on KLM for authentication in the software. The effectiveness of the proposed method is verified through access testing using commercial applications that require intensive UI interactions. The results show using our cognitive mouse-and-keystroke dynamics system can… More >

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