Home / Advanced Search

  • Title/Keywords

  • Author/Affliations

  • Journal

  • Article Type

  • Start Year

  • End Year

Update SearchingClear
  • Articles
  • Online
Search Results (457)
  • Open Access

    ARTICLE

    Process Tolerant and Power Efficient SRAM Cell for Internet of Things Applications

    T. G. Sargunam1,2,*, Lim Way Soong1, C. M. R. Prabhu1, Ajay Kumar Singh3

    CMC-Computers, Materials & Continua, Vol.72, No.2, pp. 3425-3446, 2022, DOI:10.32604/cmc.2022.023452 - 29 March 2022

    Abstract The use of Internet of Things (IoT) applications become dominant in many systems. Its on-chip data processing and computations are also increasing consistently. The battery enabled and low leakage memory system at subthreshold regime is a critical requirement for these IoT applications. The cache memory designed on Static Random-Access Memory (SRAM) cell with features such as low power, high speed, and process tolerance are highly important for the IoT memory system. Therefore, a process tolerant SRAM cell with low power, improved delay and better stability is presented in this research paper. The proposed cell comprises… More >

  • Open Access

    ARTICLE

    Design of Clustering Enabled Intrusion Detection with Blockchain Technology

    S. Vimal1, S. Nalini2,*, K. Anguraj3, T. Chelladurai4

    Intelligent Automation & Soft Computing, Vol.33, No.3, pp. 1907-1921, 2022, DOI:10.32604/iasc.2022.025219 - 24 March 2022

    Abstract Recent advancements in hardware and networking technologies have resulted in a large growth in the number of Internet of Things (IoT) devices connected to the Internet, which is likely to continue growing in the coming years. Traditional security solutions are insufficiently suited to the IoT context due to the restrictions and diversity of the resources available to objects. Security techniques such as intrusion detection and authentication are considered to be effective. Additionally, the decentralised and distributed nature of Blockchain technology makes it an excellent solution for overcoming the security issue. This paper proposes a chaotic… More >

  • Open Access

    ARTICLE

    Context-Aware Service Model of a Mobile Library Based on Internet of Things

    Wei Gao1, Haixu Xi1,2,*, Gyun Yeol Park3

    Intelligent Automation & Soft Computing, Vol.33, No.3, pp. 1893-1906, 2022, DOI:10.32604/iasc.2022.023207 - 24 March 2022

    Abstract Appropriate technology needs to be applied in libraries to provide users with more humanized, intelligent, and convenient services to improve service quality. Using theories from library science, management, and modeling, this paper examines library personalized service in the intelligent Internet of Things (IoT) environment using a literature review, comparative analysis, and UML modeling to analyze the influencing factors of mobile library users’ acceptance of personalized recommendation services. Based on the situational awareness framework, the experimental results of the effect of these personalized service recommendations show that the load factor is greater than 0.6, which indicates More >

  • Open Access

    ARTICLE

    Sensor Location Optimisation Design Based on IoT and Geostatistics in Greenhouse

    Yang Liu1,3, Xiaoyu Liu2,3, Xiu Dai1, Guanglian Xun1, Ni Ren1,*, Rui Kang1,4, Xiaojuan Mao1

    Intelligent Automation & Soft Computing, Vol.33, No.3, pp. 1653-1663, 2022, DOI:10.32604/iasc.2022.017049 - 24 March 2022

    Abstract Environmental parameters such as air temperature (T) and air relative humidity (RH) should be intensively monitored in a greenhouse in real time. In most cases, one set of sensors is installed in the centre of a greenhouse. However, as the microclimate of a greenhouse is always heterogeneous, the sensor installation location is crucial for practical cultivation. In this study, the T and RH monitoring performance of different sensors were compared. Two types of real-time environmental sensors (Air Temperature and Humidity sensor and Activity Monitoring sensor, referred as ATH and AM) were selected and calibrated by… More >

  • Open Access

    ARTICLE

    IoT and Blockchain-Based Mask Surveillance System for COVID-19 Prevention Using Deep Learning

    Wahidur Rahman1, Naif Al Mudawi2,*, Abdulwahab Alazeb2, Muhammad Minoar Hossain1, Saima Siddique Tashfia1, Md. Tarequl Islam1, Shisir Mia1, Mohammad Motiur Rahman1

    CMC-Computers, Materials & Continua, Vol.72, No.1, pp. 2033-2053, 2022, DOI:10.32604/cmc.2022.025025 - 24 February 2022

    Abstract On the edge of the worldwide public health crisis, the COVID-19 disease has become a serious headache for its destructive nature on humanity worldwide. Wearing a facial mask can be an effective possible solution to mitigate the spreading of the virus and reduce the death rate. Thus, wearing a face mask in public places such as shopping malls, hotels, restaurants, homes, and offices needs to be enforced. This research work comes up with a solution of mask surveillance system utilizing the mechanism of modern computations like Deep Learning (DL), Internet of things (IoT), and Blockchain.… More >

  • Open Access

    ARTICLE

    An Efficient Three-Factor Authenticated Key Agreement Technique Using FCM Under HC-IoT Architectures

    Chandrashekhar Meshram1,*, Agbotiname Lucky Imoize2,3, Sajjad Shaukat Jamal4, Parkash Tambare5, Adel R. Alharbi6, Iqtadar Hussain7

    CMC-Computers, Materials & Continua, Vol.72, No.1, pp. 1373-1389, 2022, DOI:10.32604/cmc.2022.024996 - 24 February 2022

    Abstract The Human-Centered Internet of Things (HC-IoT) is fast becoming a hotbed of security and privacy concerns. Two users can establish a common session key through a trusted server over an open communication channel using a three-party authenticated key agreement. Most of the early authenticated key agreement systems relied on pairing, hashing, or modular exponentiation processes that are computationally intensive and cost-prohibitive. In order to address this problem, this paper offers a new three-party authenticated key agreement technique based on fractional chaotic maps. The new scheme uses fractional chaotic maps and supports the dynamic sensing of More >

  • Open Access

    ARTICLE

    Anomaly Detection for Internet of Things Cyberattacks

    Manal Alanazi*, Ahamed Aljuhani

    CMC-Computers, Materials & Continua, Vol.72, No.1, pp. 261-279, 2022, DOI:10.32604/cmc.2022.024496 - 24 February 2022

    Abstract The Internet of Things (IoT) has been deployed in diverse critical sectors with the aim of improving quality of service and facilitating human lives. The IoT revolution has redefined digital services in different domains by improving efficiency, productivity, and cost-effectiveness. Many service providers have adapted IoT systems or plan to integrate them as integral parts of their systems’ operation; however, IoT security issues remain a significant challenge. To minimize the risk of cyberattacks on IoT networks, anomaly detection based on machine learning can be an effective security solution to overcome a wide range of IoT… More >

  • Open Access

    ARTICLE

    Machine Learning Enabled e-Learner Non-Verbal Behavior Detection in IoT Environment

    Abdelzahir Abdelmaboud1, Fahd N. Al-Wesabi1,2,3, Mesfer Al Duhayyim4, Taiseer Abdalla Elfadil Eisa5, Manar Ahmed Hamza6,*, Mohammed Rizwanullah6, Abu Serwar Zamani6, Radwa Marzouk7

    CMC-Computers, Materials & Continua, Vol.72, No.1, pp. 679-693, 2022, DOI:10.32604/cmc.2022.024240 - 24 February 2022

    Abstract Internet of Things (IoT) with e-learning is widely employed to collect data from various smart devices and share it with other ones for efficient e-learning applications. At the same time, machine learning (ML) and data mining approaches are presented for accomplishing prediction and classification processes. With this motivation, this study focuses on the design of intelligent machine learning enabled e-learner non-verbal behaviour detection (IML-ELNVBD) in IoT environment. The proposed IML-ELNVBD technique allows the IoT devices such as audio sensors, cameras, etc. which are then connected to the cloud server for further processing. In addition, the More >

  • Open Access

    ARTICLE

    Hybrid Deep Learning Enabled Air Pollution Monitoring in ITS Environment

    Ashit Kumar Dutta1, Jenyfal Sampson2, Sultan Ahmad3, T. Avudaiappan4, Kanagaraj Narayanasamy5,*, Irina V. Pustokhina6, Denis A. Pustokhin7

    CMC-Computers, Materials & Continua, Vol.72, No.1, pp. 1157-1172, 2022, DOI:10.32604/cmc.2022.024109 - 24 February 2022

    Abstract Intelligent Transportation Systems (ITS) have become a vital part in improving human lives and modern economy. It aims at enhancing road safety and environmental quality. There is a tremendous increase observed in the number of vehicles in recent years, owing to increasing population. Each vehicle has its own individual emission rate; however, the issue arises when the emission rate crosses a standard value. Owing to the technological advances made in Artificial Intelligence (AI) techniques, it is easy to leverage it to develop prediction approaches so as to monitor and control air pollution. The current research… More >

  • Open Access

    ARTICLE

    Multi-dimensional Security Range Query for Industrial IoT

    Abdallah Abdallah1, Ayman A. Aly2, Bassem F. Felemban2, Imran Khan3, Ki-Il Kim4,*

    CMC-Computers, Materials & Continua, Vol.72, No.1, pp. 157-179, 2022, DOI:10.32604/cmc.2022.023907 - 24 February 2022

    Abstract The Internet of Things (IoT) has allowed for significant advancements in applications not only in the home, business, and environment, but also in factory automation. Industrial Internet of Things (IIoT) brings all of the benefits of the IoT to industrial contexts, allowing for a wide range of applications ranging from remote sensing and actuation to decentralization and autonomy. The expansion of the IoT has been set by serious security threats and obstacles, and one of the most pressing security concerns is the secure exchange of IoT data and fine-grained access control. A privacy-preserving multi-dimensional secure… More >

Displaying 281-290 on page 29 of 457. Per Page