Awais Khan^1,2,*, Shahid Bashir¹, Salman Ghafoor³, Hatem Rmili^4,5, Jawad Mirza⁶, Ammar Ahmad¹

CMC-Computers, Materials & Continua, Vol.75, No.1, pp. 911-925, 2023, DOI:10.32604/cmc.2023.033866

Abstract Mutual coupling reduction or isolation enhancement in antenna arrays is an important area of research as it severely affects the performance of an antenna. In this paper, a new type of compact and highly isolated Multiple-Input-Multiple-Output (MIMO) antenna for ultra-wideband (UWB) applications is presented. The design consists of four radiators that are orthogonally positioned and confined to a compact 40 × 40 × 0.8 mm³ space. The final antenna design uses an inverted L shape partial ground to produce an acceptable reflection coefficient (S11 < −10 dB) in an entire UWB band (3.1–10.6) giga hertz (GHz). Moreover, the inter-element isolation… More >

Kai Wei Lee¹, Siew Mooi Ching^2,*, Norsiah Ali³, Chor Yau Ooi⁴, Shahnul Kamal Hj Sidek⁵, Azlin Amat⁶, Yusnita Yatim⁷, Zaiton Yahaya⁸, Nabihah Shamsuddin⁹, Idora Ibrahim¹⁰, Fauzia Abdul Majid¹¹, Fazlin Suhana Othman¹², Nik Suhaila Zakaria¹³, Artini Abidin¹⁴, Nor Hazlin Talib¹⁵, Dhashani Sivaratnam¹⁶

International Journal of Mental Health Promotion, Vol.25, No.2, pp. 237-247, 2023, DOI:10.32604/ijmhp.2023.013407

Abstract Smartphone ownership among adolescents is getting common in this decade especially in Malaysia; Adolescent are strongly devoted to their smartphone and this may lead to smartphone addiction. Studies have reported that smartphone addiction has become an emerging social and health problem especially among the youth in many countries however there is lack of study among adolescents in Malaysia. This study aimed to examine the prevalence and factors associated with smartphone addiction among adolescents in Malaysia. This was a cross-sectional study involving adolescents from 15 primary care clinics throughout the country. Respondents were assessed on their smartphone activities using the Malaysian… More >

Aswathy Ravikumar, Harini Sriraman^*

Computer Systems Science and Engineering, Vol.46, No.1, pp. 563-578, 2023, DOI:10.32604/csse.2023.034710

Abstract Deep neural networks are gaining importance and popularity in applications and services. Due to the enormous number of learnable parameters and datasets, the training of neural networks is computationally costly. Parallel and distributed computation-based strategies are used to accelerate this training process. Generative Adversarial Networks (GAN) are a recent technological achievement in deep learning. These generative models are computationally expensive because a GAN consists of two neural networks and trains on enormous datasets. Typically, a GAN is trained on a single server. Conventional deep learning accelerator designs are challenged by the unique properties of GAN, like the enormous computation stages… More >

Jiahao Wen, Zhijian Wang^*

CMES-Computer Modeling in Engineering & Sciences, Vol.136, No.1, pp. 749-765, 2023, DOI:10.32604/cmes.2023.023865

Abstract Since the existing prediction methods have encountered difficulties in processing the multiple influencing factors in short-term power load forecasting, we propose a bidirectional long short-term memory (BiLSTM) neural network model based on the temporal pattern attention (TPA) mechanism. Firstly, based on the grey relational analysis, datasets similar to forecast day are obtained. Secondly, the bidirectional LSTM layer models the data of the historical load, temperature, humidity, and date-type and extracts complex relationships between data from the hidden row vectors obtained by the BiLSTM network, so that the influencing factors (with different characteristics) can select relevant information from different time steps… More >

Colleen Crangle^1,2,*, Bude Piccin², Lara Hyde³, Elin Östman⁴

Journal of Intelligent Medicine and Healthcare, Vol.1, No.2, pp. 91-102, 2022, DOI:10.32604/jimh.2022.038379

Abstract Postprandial glucose responses provide vital information on an individual’s risk of major diet-related chronic diseases. This study features digital health technology, namely Continuous Glucose Monitoring (CGM) sensors, along with mobile devices (iPhones running an app) used to collect data from individuals and their environment, specifically nutritional information on what they eat and drink. The paper presents a retrospective analysis of data collected during an investigation into the use of a functional drink taken as a supplement with a standardized meal to reduce postprandial responses to that meal. Given that there are consequential differences between individuals in their postprandial glucose responses,… More >

Nebras M. Sobahi^1,*, Ahteshamul Haque², V S Bharath Kurukuru², Md. Mottahir Alam¹, Asif Irshad Khan³

CMC-Computers, Materials & Continua, Vol.74, No.3, pp. 5757-5776, 2023, DOI:10.32604/cmc.2022.028340

Abstract Increasing renewable energy targets globally has raised the requirement for the efficient and profitable operation of solar photovoltaic (PV) systems. In light of this requirement, this paper provides a path for evaluating the operating condition and improving the power output of the PV system in a grid integrated environment. To achieve this, different types of faults in grid-connected PV systems (GCPVs) and their impact on the energy loss associated with the electrical network are analyzed. A data-driven approach using neural networks (NNs) is proposed to achieve root cause analysis and localize the fault to the component level in the system.… More >

N. Sathiabama^1,*, S. Anila²

Computer Systems Science and Engineering, Vol.45, No.3, pp. 2705-2720, 2023, DOI:10.32604/csse.2023.025941

Abstract Interconnected cells, Configurable Logic Blocks (CLBs), and input/output (I/O) pads are all present in every Field Programmable Gate Array (FPGA) structure. The interconnects are formed by the physical paths for connecting the blocks . The combinational and sequential circuits are used in the logic blocks to execute logical functions. The FPGA includes two different tests called interconnect testing and logical testing. Instead of using an additional circuitry, the Built-in-Self-Test (BIST) logic is coded into an FPGA, which is then reconfigured to perform its specific operation after the testing is completed. As a result, additional test circuits for the FPGA board… More >

L. Maria Michael Visuwasam^1,*, D. Paul Raj²

Computer Systems Science and Engineering, Vol.45, No.3, pp. 2435-2446, 2023, DOI:10.32604/csse.2023.024742

Abstract Technological developments create a lot of impacts in the tourism industry. Emerging big data technologies and programs generate opportunities to enhance the strategy and results for transport security. However, there is a difference between technological advances and their integration into the methods of tourism study. The rising popularity of Freycinet National Park led to a master plan that would not address cultural and environmental issues. This study addresses the gap by using a synthesized application (app) for demographic surveys and Global Navigation Satellite System (GNSS) technology to implement research processes. This article focuses on managing visitors within the famous Freycinet… More >

Ling Yuan¹, Zhenggang Liu^2,*, Li Li³, Ming Lin¹

FDMP-Fluid Dynamics & Materials Processing, Vol.19, No.5, pp. 1129-1141, 2023, DOI:10.32604/fdmp.2023.023538

Abstract The blades of large-scale wind turbines can obviously deform during operation, and such a deformation can affect the wind turbine’s output power to a certain extent. In order to shed some light on this phenomenon, for which limited information is available in the literature, a bidirectional fluid-structure interaction (FSI) numerical model is employed in this work. In particular, a 5 MW large-scale wind turbine designed by the National Renewable Energy Laboratory (NREL) of the United States is considered as a testbed. The research results show that blades’ deformation can increase the wind turbine’s output power by 135 kW at rated working conditions.… More > Graphic Abstract

Xiaoping Xie^*, Shijie Cheng, Xuyang Li

CMES-Computer Modeling in Engineering & Sciences, Vol.135, No.3, pp. 2425-2448, 2023, DOI:10.32604/cmes.2023.023116

Abstract This paper proposed method that combined transmission path analysis (TPA) and empirical mode decomposition (EMD) envelope analysis to solve the vibration problem of an industrial robot. Firstly, the deconvolution filter time-domain TPA method is proposed to trace the source along with the time variation. Secondly, the TPA method positioned the main source of robotic vibration under typically different working conditions. Thirdly, independent vibration testing of the Rotate Vector (RV) reducer is conducted under different loads and speeds, which are key components of an industrial robot. The method of EMD and Hilbert envelope was used to extract the fault feature of… More >