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  • Open Access

    ARTICLE

    Anomaly Detection of UAV State Data Based on Single-Class Triangular Global Alignment Kernel Extreme Learning Machine

    Feisha Hu1, Qi Wang1,*, Haijian Shao1,2, Shang Gao1, Hualong Yu1

    CMES-Computer Modeling in Engineering & Sciences, Vol.136, No.3, pp. 2405-2424, 2023, DOI:10.32604/cmes.2023.026732

    Abstract Unmanned Aerial Vehicles (UAVs) are widely used and meet many demands in military and civilian fields. With the continuous enrichment and extensive expansion of application scenarios, the safety of UAVs is constantly being challenged. To address this challenge, we propose algorithms to detect anomalous data collected from drones to improve drone safety. We deployed a one-class kernel extreme learning machine (OCKELM) to detect anomalies in drone data. By default, OCKELM uses the radial basis (RBF) kernel function as the kernel function of the model. To improve the performance of OCKELM, we choose a Triangular Global Alignment Kernel (TGAK) instead of… More > Graphic Abstract

    Anomaly Detection of UAV State Data Based on Single-Class Triangular Global Alignment Kernel Extreme Learning Machine

  • Open Access

    ARTICLE

    Application of the BASNEF Model in Safety Training in Automobile Manufacturing Plants

    Fereydoon Laal1,2, Amir Hossein Khoshakhlagh3, Esmaeil Zarei4,5, Rohollah Fallah Madvari6, Somayeh Farhang Dehghan7,*

    Sound & Vibration, Vol.56, No.4, pp. 297-306, 2022, DOI:10.32604/sv.2022.028255

    Abstract After controls, including engineering and management, the final way to control noise is to use hearing protection devices. Due to the lack of a standardized questionnaire regarding investigating workers’ use of hearing protection devices on the basis of the BASNEF behavioral model, the present study was conducted to investigate the effect of health education based on the BASNEF model on the use of hearing protection devices in workers of an automobile manufacturing plant in Iran. This quasi-experimental and prospective intervention study was performed on 80 workers at an automobile manufacturing plant who are exposed to noise levels above 85 decibels… More >

  • Open Access

    ARTICLE

    Safety Risk Assessment of Overturning Construction of Towering Structure Based on Cloud Matter–Element Coupled Model

    Yingxue Sang1, Fengxia Han1,2,*, Qing Liu1,2, Liang Qiao3, Shouxi Wang3

    CMES-Computer Modeling in Engineering & Sciences, Vol.136, No.2, pp. 1973-1998, 2023, DOI:10.32604/cmes.2023.026218

    Abstract Rapid urbanization has led to a surge in the number of towering structures, and overturning is widely used because it can better accommodate the construction of shaped structures such as variable sections. The complexity of the construction process makes the construction risk have certain randomness, so this paper proposes a cloud-based coupled matter-element model to address the ambiguity and randomness in the safety risk assessment of overturning construction of towering structures. In the pretended model, the digital eigenvalues of the cloud model are used to replace the eigenvalues in the matter–element basic element, and calculate the cloud correlation of the… More >

  • Open Access

    ARTICLE

    Modeling of Hydrogen Blending on the Leakage and Diffusion of Urban Buried Hydrogen-Enriched Natural Gas Pipeline

    Yue Su1, Jingfa Li2,*, Bo Yu2, Yanlin Zhao1, Dongxu Han2, Dongliang Sun2

    CMES-Computer Modeling in Engineering & Sciences, Vol.136, No.2, pp. 1315-1337, 2023, DOI:10.32604/cmes.2023.026035

    Abstract With the introduction of various carbon reduction policies around the world, hydrogen energy, as a kind of clean energy with zero carbon emission, has attracted much attention. The safe and economical transportation of hydrogen is of great significance to the development of hydrogen energy industries. Utilizing natural gas pipelines to transport hydrogen is considered to be an efficient and economical way. However, hydrogen has a higher risk of leakage due to its strong diffusion capacity and lower explosive limit than conventional natural gas. Therefore, it is of great significance to study the leakage and diffusion law of hydrogen-enriched natural gas… More > Graphic Abstract

    Modeling of Hydrogen Blending on the Leakage and Diffusion of Urban Buried Hydrogen-Enriched Natural Gas Pipeline

  • Open Access

    ARTICLE

    Topology Optimization of Strength-Safe Continuum Structures Considering Random Damage

    Jiazheng Du*, Xue Cong, Ying Zhang

    CMES-Computer Modeling in Engineering & Sciences, Vol.136, No.2, pp. 1091-1120, 2023, DOI:10.32604/cmes.2023.025585

    Abstract Spacecraft in the aerospace field and military equipment in the military field are at risk of being impacted by external objects, which can cause local damage to the structure. The randomness of local damage is a new challenge for structural design, and it is essential to take random damage into account in the conceptual design phase for the purpose of improving structure’s resistance to external shocks. In this article, a random damaged structure is assumed to have damages of the same size and shape at random locations, and the random damage is considered as multiple damage conditions of the structure.… More > Graphic Abstract

    Topology Optimization of Strength-Safe Continuum Structures Considering Random Damage

  • Open Access

    ARTICLE

    Detection of Worker’s Safety Helmet and Mask and Identification of Worker Using Deeplearning

    NaeJoung Kwak1, DongJu Kim2,*

    CMC-Computers, Materials & Continua, Vol.75, No.1, pp. 1671-1686, 2023, DOI:10.32604/cmc.2023.035762

    Abstract This paper proposes a method for detecting a helmet for the safety of workers from risk factors and a mask worn indoors and verifying a worker’s identity while wearing a helmet and mask for security. The proposed method consists of a part for detecting the worker’s helmet and mask and a part for verifying the worker’s identity. An algorithm for helmet and mask detection is generated by transfer learning of Yolov5’s s-model and m-model. Both models are trained by changing the learning rate, batch size, and epoch. The model with the best performance is selected as the model for detecting… More >

  • Open Access

    ARTICLE

    Effects of the number of neoadjuvant therapy cycles on clinical outcomes, safety, and survival in patients with metastatic colorectal cancer undergoing metastasectomy

    YUNG-SUNG YEH1,2,3, HSIANG-LIN TSAI4,5, YEN-CHENG CHEN4,6, WEI-CHIH SU4,6, PO-JUNG CHEN4,6, TSUNG-KUN CHANG4,6,7, CHING-CHUN LI4, CHING-WEN HUANG4,5, JAW-YUAN WANG4,5,6,8,9,10,*

    Oncology Research, Vol.30, No.2, pp. 65-76, 2022, DOI:10.32604/or.2022.026659

    Abstract The controversial outcomes in patients with metastatic colorectal cancer (mCRC) highlight the need for developing effective systemic neoadjuvant treatment strategies to improve clinical results. The optimal treatment cycles in patients with mCRC for metastasectomy remain undefined. This retrospective study compared the efficacy, safety, and survival of cycles of neoadjuvant chemotherapy/targeted therapy for such patients. Sixty-four patients with mCRC who received neoadjuvant chemotherapy/targeted therapy following metastasectomy were enrolled between January 2018 and April 2022. Twenty-eight patients received 6 cycles of chemotherapy/targeted therapy, whereas 36 patients received ≥7 cycles (median, 13; range, 7–20). Clinical outcomes, including response, progression-free survival (PFS), overall survival… More >

  • Open Access

    ARTICLE

    Drug Usage Safety from Drug Reviews with Hybrid Machine Learning Approach

    Ernesto Lee1, Furqan Rustam2, Hina Fatima Shahzad2, Patrick Bernard Washington3, Abid Ishaq3, Imran Ashraf4,*

    Computer Systems Science and Engineering, Vol.45, No.3, pp. 3053-3077, 2023, DOI:10.32604/csse.2023.029059

    Abstract With the increasing usage of drugs to remedy different diseases, drug safety has become crucial over the past few years. Often medicine from several companies is offered for a single disease that involves the same/similar substances with slightly different formulae. Such diversification is both helpful and dangerous as such medicine proves to be more effective or shows side effects to different patients. Despite clinical trials, side effects are reported when the medicine is used by the mass public, of which several such experiences are shared on social media platforms. A system capable of analyzing such reviews could be very helpful… More >

  • Open Access

    ARTICLE

    Adapted Speed System in a Road Bend Situation in VANET Environment

    Said Benkirane1, Azidine Guezzaz1, Mourade Azrour1, Akber Abid Gardezi2, Shafiq Ahmad3, Abdelaty Edrees Sayed3, Salman Naseer4, Muhammad Shafiq5,*

    CMC-Computers, Materials & Continua, Vol.74, No.2, pp. 3781-3794, 2023, DOI:10.32604/cmc.2023.033119

    Abstract Today, road safety remains a serious concern for governments around the world. In fact, approximately 1.35 million people die and 2–50 million are injured on public roads worldwide each year. Straight bends in road traffic are the main cause of many road accidents, and excessive and inappropriate speed in this very critical area can cause drivers to lose their vehicle stability. For these reasons, new solutions must be considered to stop this disaster and save lives. Therefore, it is necessary to study this topic very carefully and use new technologies such as Vehicle Ad Hoc Networks (VANET), Internet of Things… More >

  • Open Access

    ARTICLE

    Real-Time Safety Helmet Detection Using Yolov5 at Construction Sites

    Kisaezehra1, Muhammad Umer Farooq1,*, Muhammad Aslam Bhutto2, Abdul Karim Kazi1

    Intelligent Automation & Soft Computing, Vol.36, No.1, pp. 911-927, 2023, DOI:10.32604/iasc.2023.031359

    Abstract The construction industry has always remained the economic and social backbone of any country in the world where occupational health and safety (OHS) is of prime importance. Like in other developing countries, this industry pays very little, rather negligible attention to OHS practices in Pakistan, resulting in the occurrence of a wide variety of accidents, mishaps, and near-misses every year. One of the major causes of such mishaps is the non-wearing of safety helmets (hard hats) at construction sites where falling objects from a height are unavoidable. In most cases, this leads to serious brain injuries in people present at… More >

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