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  • Open Access

    REVIEW

    A Review about Wireless Sensor Networks and the Internet of Things

    Amarjit Singh*

    Journal on Internet of Things, Vol.4, No.2, pp. 69-73, 2022, DOI:10.32604/jiot.2022.026170

    Abstract Wireless sensor networks (WSNs) are created and affect our daily lives. You can find applications in various fields such as health, accident, life, manufacturing, production management, network management and many other fields. WSN now connects to the Internet of Things, connects the sensor to the Internet, and then uses it for collaboration and collaboration. However, when WSN is part of the internet we need to be able to study and analyze related terms. In this article, we’re going to look at different ways to get WSN online and identify the challenges that address in future More >

  • Open Access

    ARTICLE

    Segmentation Based Real Time Anomaly Detection and Tracking Model for Pedestrian Walkways

    B. Sophia1,*, D. Chitra2

    Intelligent Automation & Soft Computing, Vol.36, No.3, pp. 2491-2504, 2023, DOI:10.32604/iasc.2023.029799

    Abstract Presently, video surveillance is commonly employed to ensure security in public places such as traffic signals, malls, railway stations, etc. A major challenge in video surveillance is the identification of anomalies that exist in it such as crimes, thefts, and so on. Besides, the anomaly detection in pedestrian walkways has gained significant attention among the computer vision communities to enhance pedestrian safety. The recent advances of Deep Learning (DL) models have received considerable attention in different processes such as object detection, image classification, etc. In this aspect, this article designs a new Panoptic Feature Pyramid… More >

  • Open Access

    ARTICLE

    Strong Tracking Particle Filter Based on the Chi-Square Test for Indoor Positioning

    Lingwu Qian1, Jianxiang Li2, Qi Tang1, Mengfei Liu1, Bingjie Yuan1, Guoli Ji1,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.136, No.2, pp. 1441-1455, 2023, DOI:10.32604/cmes.2023.024534

    Abstract In recent years, a number of wireless indoor positioning (WIP), such as Bluetooth, Wi-Fi, and Ultra-Wideband (UWB) technologies, are emerging. However, the indoor environment is complex and changeable. Walls, pillars, and even pedestrians may block wireless signals and produce non-line-of-sight (NLOS) deviations, resulting in decreased positioning accuracy and the inability to provide people with real-time continuous indoor positioning. This work proposed a strong tracking particle filter based on the chi-square test (SPFC) for indoor positioning. SPFC can fuse indoor wireless signals and the information of the inertial sensing unit (IMU) in the smartphone and detect More >

  • Open Access

    ARTICLE

    SiamDLA: Dynamic Label Assignment for Siamese Visual Tracking

    Yannan Cai, Ke Tan, Zhenzhong Wei*

    CMC-Computers, Materials & Continua, Vol.75, No.1, pp. 1621-1640, 2023, DOI:10.32604/cmc.2023.036177

    Abstract Label assignment refers to determining positive/negative labels for each sample to supervise the training process. Existing Siamese-based trackers primarily use fixed label assignment strategies according to human prior knowledge; thus, they can be sensitive to predefined hyperparameters and fail to fit the spatial and scale variations of samples. In this study, we first develop a novel dynamic label assignment (DLA) module to handle the diverse data distributions and adaptively distinguish the foreground from the background based on the statistical characteristics of the target in visual object tracking. The core of DLA module is a two-step… More >

  • Open Access

    ARTICLE

    Electrical Tree Image Segmentation Using Hybrid Multi Scale Line Tracking Algorithm

    Mohd Annuar Isa1, Mohamad Nur Khairul Hafizi Rohani1,*, Baharuddin Ismail1, Mohamad Kamarol Jamil1, Muzamir Isa1, Afifah Shuhada Rosmi1, Mohd Aminudin Jamlos2, Wan Azani Mustafa1, Nurulbariah Idris3, Abdullahi Abubakar Mas’ud4

    CMC-Computers, Materials & Continua, Vol.75, No.1, pp. 741-760, 2023, DOI:10.32604/cmc.2023.036077

    Abstract Electrical trees are an aging mechanism most associated with partial discharge (PD) activities in crosslinked polyethylene (XLPE) insulation of high-voltage (HV) cables. Characterization of electrical tree structures gained considerable attention from researchers since a deep understanding of the tree morphology is required to develop new insulation material. Two-dimensional (2D) optical microscopy is primarily used to examine tree structures and propagation shapes with image segmentation methods. However, since electrical trees can emerge in different shapes such as bush-type or branch-type, treeing images are complicated to segment due to manifestation of convoluted tree branches, leading to a… More >

  • Open Access

    ARTICLE

    Visual Object Tracking Based on Modified LeNet-5 and RCCF

    Aparna Gullapelly, Barnali Gupta Banik*

    Computer Systems Science and Engineering, Vol.46, No.1, pp. 1127-1139, 2023, DOI:10.32604/csse.2023.032904

    Abstract The field of object tracking has recently made significant progress. Particularly, the performance results in both deep learning and correlation filters, based trackers achieved effective tracking performance. Moreover, there are still some difficulties with object tracking for example illumination and deformation (DEF). The precision and accuracy of tracking algorithms suffer from the effects of such occurrences. For this situation, finding a solution is important. This research proposes a new tracking algorithm to handle this problem. The features are extracted by using Modified LeNet-5, and the precision and accuracy are improved by developing the Real-Time Cross-modality… More >

  • Open Access

    ARTICLE

    Soft Tissue Feature Tracking Based on Deep Matching Network

    Siyu Lu1, Shan Liu1, Pengfei Hou1, Bo Yang1, Mingzhe Liu2,*, Lirong Yin3, Wenfeng Zheng1,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.136, No.1, pp. 363-379, 2023, DOI:10.32604/cmes.2023.025217

    Abstract Research in the field of medical image is an important part of the medical robot to operate human organs. A medical robot is the intersection of multi-disciplinary research fields, in which medical image is an important direction and has achieved fruitful results. In this paper, a method of soft tissue surface feature tracking based on a depth matching network is proposed. This method is described based on the triangular matching algorithm. First, we construct a self-made sample set for training the depth matching network from the first N frames of speckle matching data obtained by… More > Graphic Abstract

    Soft Tissue Feature Tracking Based on Deep Matching Network

  • Open Access

    ARTICLE

    Drone for Dynamic Monitoring and Tracking with Intelligent Image Analysis

    Ching-Bang Yao1, Chang-Yi Kao2,*, Jiong-Ting Lin3

    Intelligent Automation & Soft Computing, Vol.36, No.2, pp. 2233-2252, 2023, DOI:10.32604/iasc.2023.034488

    Abstract Traditional monitoring systems that are used in shopping malls or community management, mostly use a remote control to monitor and track specific objects; therefore, it is often impossible to effectively monitor the entire environment. When finding a suspicious person, the tracked object cannot be locked in time for tracking. This research replaces the traditional fixed-point monitor with the intelligent drone and combines the image processing technology and automatic judgment for the movements of the monitored person. This intelligent system can effectively improve the shortcomings of low efficiency and high cost of the traditional monitor system.… More >

  • Open Access

    ARTICLE

    Bayes-Q-Learning Algorithm in Edge Computing for Waste Tracking

    D. Palanikkumar1, R. Ramesh Kumar2, Mehedi Masud3, Mrim M. Alnfiai4, Mohamed Abouhawwash5,6,*

    Intelligent Automation & Soft Computing, Vol.36, No.2, pp. 2425-2440, 2023, DOI:10.32604/iasc.2023.033879

    Abstract The major environmental hazard in this pandemic is the unhygienic disposal of medical waste. Medical wastage is not properly managed it will become a hazard to the environment and humans. Managing medical wastage is a major issue in the city, municipalities in the aspects of the environment, and logistics. An efficient supply chain with edge computing technology is used in managing medical waste. The supply chain operations include processing of waste collection, transportation, and disposal of waste. Many research works have been applied to improve the management of wastage. The main issues in the existing… More >

  • Open Access

    ARTICLE

    Dataset of Large Gathering Images for Person Identification and Tracking

    Adnan Nadeem1,*, Amir Mehmood2, Kashif Rizwan3, Muhammad Ashraf4, Nauman Qadeer3, Ali Alzahrani1, Qammer H. Abbasi5, Fazal Noor1, Majed Alhaisoni6, Nadeem Mahmood7

    CMC-Computers, Materials & Continua, Vol.74, No.3, pp. 6065-6080, 2023, DOI:10.32604/cmc.2023.035012

    Abstract This paper presents a large gathering dataset of images extracted from publicly filmed videos by 24 cameras installed on the premises of Masjid Al-Nabvi, Madinah, Saudi Arabia. This dataset consists of raw and processed images reflecting a highly challenging and unconstraint environment. The methodology for building the dataset consists of four core phases; that include acquisition of videos, extraction of frames, localization of face regions, and cropping and resizing of detected face regions. The raw images in the dataset consist of a total of 4613 frames obtained from video sequences. The processed images in the… More >

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