Jian Su¹, Haijian Shao^1,2,*, Xing Deng¹, Yingtao Jiang²

CMC-Computers, Materials & Continua, Vol.81, No.2, pp. 2219-2242, 2024, DOI:10.32604/cmc.2024.057604 - 18 November 2024

Abstract The rapidly advancing Convolutional Neural Networks (CNNs) have brought about a paradigm shift in various computer vision tasks, while also garnering increasing interest and application in sensor-based Human Activity Recognition (HAR) efforts. However, the significant computational demands and memory requirements hinder the practical deployment of deep networks in resource-constrained systems. This paper introduces a novel network pruning method based on the energy spectral density of data in the frequency domain, which reduces the model’s depth and accelerates activity inference. Unlike traditional pruning methods that focus on the spatial domain and the importance of filters, this… More >

Gajjala Savithri^1,2, N. Raghavendra Sai^1,*

CMC-Computers, Materials & Continua, Vol.81, No.2, pp. 2547-2569, 2024, DOI:10.32604/cmc.2024.055827 - 18 November 2024

Abstract In the world of wireless sensor networks (WSNs), optimizing performance and extending network lifetime are critical goals. In this paper, we propose a new model called DTLR-Net (Deep Temporal LSTM Regression Network) that employs long-short-term memory and is effective for long-term dependencies. Mobile sinks can move in arbitrary patterns, so the model employs long short-term memory (LSTM) networks to handle such movements. The parameters were initialized iteratively, and each node updated its position, mobility level, and other important metrics at each turn, with key measurements including active or inactive node ratio, energy consumption per cycle,… More >

Shaowu Tang¹, Sicong Liu^1,*, Jian S Dai^1,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.30, No.3, pp. 1-1, 2024, DOI:10.32604/icces.2024.011746

Abstract Origami, a traditional and elegant folding technique, provides a solution for the deformation of three-dimensional structures. Inspired by this, origami-based soft actuators and robots exhibit the advantages of portability, high efficiency, and programmability when performing functions such as locomotion, manipulation, and interaction. However, these deformable origami structures bring challenges to sensing methods and technologies, due to hyperelastic deformations of the soft materials. In this work, a sensing approach is proposed to enable origami robots with proprioceptive and interactive sensing capabilities. The 3D-printed Miura-ori chambers of the robot are embedded with infrared optical sensors (a light-emitting… More >

Zhaowei Zhou¹, Kaicheng Ruan¹, Donghua Zhao¹, Yi Xiong^1,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.30, No.2, pp. 1-1, 2024, DOI:10.32604/icces.2024.011376

Abstract Fused deposition modeling (FDM) with foaming materials offers the capability to generate internal porous structures through in-situ foaming, imparting favorable characteristics such as weight reduction, shock absorption, thermal insulation, and sound insulation to printed objects. However, the process planning for this technology presents challenges due to the difficulty in accurately controlling the foaming rate, stemming from a complex underlying mechanism that remains poorly understood. This study introduces a multi-sensor platform for FDM with foaming materials, facilitating in-situ process monitoring of temperature field information during material modeling and quality evaluation of printed objects, i.e., abnormal foaming… More >

Sumika Chauhan, Govind Vashishtha^*, Radoslaw Zimroz

CMES-Computer Modeling in Engineering & Sciences, Vol.141, No.3, pp. 1983-2020, 2024, DOI:10.32604/cmes.2024.055633 - 31 October 2024

Abstract Sensors, vital elements in data acquisition systems, play a crucial role in various industries. However, their exposure to harsh operating conditions makes them vulnerable to faults that can compromise system performance. Early fault detection is therefore critical for minimizing downtime and ensuring system reliability. This paper delves into the contemporary landscape of fault diagnosis techniques for sensors, offering valuable insights for researchers and academicians. The papers begin by exploring the different types and causes of sensor faults, followed by a discussion of the various fault diagnosis methods employed in industrial sectors. The advantages and limitations More >

Shijie Yang¹, Jiateng Yuan¹, Zhipeng Zhang¹, Zhibo Chen^1,2, Hanchao Zhang⁴, Xiaohui Cui^1,2,3,*

CMC-Computers, Materials & Continua, Vol.81, No.1, pp. 1529-1563, 2024, DOI:10.32604/cmc.2024.055402 - 15 October 2024

Abstract In recent years, sensor technology has been widely used in the defense and control of sensitive areas in cities, or in various scenarios such as early warning of forest fires, monitoring of forest pests and diseases, and protection of endangered animals. Deploying sensors to collect data and then utilizing unmanned aerial vehicle (UAV) to collect the data stored in the sensors has replaced traditional manual data collection as the dominant method. The current strategies for efficient data collection in above scenarios are still imperfect, and the low quality of the collected data and the excessive… More >

Adisa Hasković Džubur^*, Samir Čaušević, Belma Memić, Muhamed Begović, Elma Avdagić-Golub, Alem Čolaković

CMC-Computers, Materials & Continua, Vol.81, No.1, pp. 1059-1084, 2024, DOI:10.32604/cmc.2024.055386 - 15 October 2024

Abstract Wireless sensor networks (WSNs) are characterized by heterogeneous traffic types (audio, video, data) and diverse application traffic requirements. This paper introduces three traffic classes following the defined model of heterogeneous traffic differentiation in WSNs. The requirements for each class regarding sensitivity to QoS (Quality of Service) parameters, such as loss, delay, and jitter, are described. These classes encompass real-time and delay-tolerant traffic. Given that QoS evaluation is a multi-criteria decision-making problem, we employed the AHP (Analytical Hierarchy Process) method for multi-criteria optimization. As a result of this approach, we derived weight values for different traffic… More >

Chandraumakantham Om Kumar^1,*, Sudhakaran Gajendran², Suguna Marappan¹, Mohammed Zakariah³, Abdulaziz S. Almazyad⁴

CMC-Computers, Materials & Continua, Vol.81, No.1, pp. 471-501, 2024, DOI:10.32604/cmc.2024.054966 - 15 October 2024

Abstract The security of the wireless sensor network-Internet of Things (WSN-IoT) network is more challenging due to its randomness and self-organized nature. Intrusion detection is one of the key methodologies utilized to ensure the security of the network. Conventional intrusion detection mechanisms have issues such as higher misclassification rates, increased model complexity, insignificant feature extraction, increased training time, increased run time complexity, computation overhead, failure to identify new attacks, increased energy consumption, and a variety of other factors that limit the performance of the intrusion system model. In this research a security framework for WSN-IoT, through… More >

Muhammad Aamer Ejaz^1,*, Kamalrulnizam Abu Bakar¹, Ismail Fauzi Bin Isnin¹, Babangida Isyaku^1,2,*, Taiseer Abdalla Elfadil Eisa³, Abdelzahir Abdelmaboud⁴, Asma Abbas Hassan Elnour³

CMC-Computers, Materials & Continua, Vol.81, No.1, pp. 1511-1528, 2024, DOI:10.32604/cmc.2024.054938 - 15 October 2024

Abstract Localization is crucial in wireless sensor networks for various applications, such as tracking objects in outdoor environments where GPS (Global Positioning System) or prior installed infrastructure is unavailable. However, traditional techniques involve many anchor nodes, increasing costs and reducing accuracy. Existing solutions do not address the selection of appropriate anchor nodes and selecting localized nodes as assistant anchor nodes for the localization process, which is a critical element in the localization process. Furthermore, an inaccurate average hop distance significantly affects localization accuracy. We propose an improved DV-Hop algorithm based on anchor sets (AS-IDV-Hop) to improve… More >

Binbin Guo^1,2, Hui Ying Yang^1,*, Jiaming Bai^2,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.29, No.4, pp. 1-1, 2024, DOI:10.32604/icces.2024.012673

Abstract Due to excellent electrical conductivity, stretchability, and biocompatibility, electrically conductive hydrogels have been widely used in flexible wearable strain sensors. Generally, conductive fillers need to be integrated with the hydrogel matrix to impart electrical conductivity. According to the method of composite formation between electronic conductive fillers and hydrogel matrix, conductive hydrogels can be classified into embedded conductive and coated conductive hydrogels. Additionally, due to the intrinsic chemical and physical crosslinking networks, traditional hydrogels are not degradable, resulting in severe environmental pollution problems. Herein, we designed electrically conductive and degradable hydrogels for the epidermal strain sensor… More >