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  • Open Access

    ARTICLE

    Design and Realization of Non Invasive Fetal ECG Monitoring System

    Abdulfattah Noorwali1, Ameni Yengui2,*, Kaiçar Ammous2, Anis Ammous1

    Intelligent Automation & Soft Computing, Vol.32, No.1, pp. 455-466, 2022, DOI:10.32604/iasc.2022.020574

    Abstract Early fetal cardiac diseases and heart abnormalities can be detected and appropriately treated by monitoring fetal health during pregnancy. Advancements in computer sciences and the technology of sensors show that is possible to monitor fetal electrocardiogram (fECG). Both signal processing and experimental aspects are needed to be investigated to monitor fECG. In this study, we aim to design and realize a non invasive fECG monitoring system. In the first part of this work, a remote study process of the electrical activity of the heart is achieved. In fact, our proposed design considers transmitting the detected signals in real time using… More >

  • Open Access

    ARTICLE

    Application of Fuzzy FoPID Controller for Energy Reshaping in Grid Connected PV Inverters for Electric Vehicles

    M. Manjusha1,*, T. S. Sivarani2, Carol J. Jerusalin1

    Intelligent Automation & Soft Computing, Vol.32, No.1, pp. 621-641, 2022, DOI:10.32604/iasc.2022.020560

    Abstract By utilizing Fuzzy based FOPID-controller, this work is designed via the energy reshaping concept for Grid connected Photovoltaic (PV) systems for electric vehicles and this PV module has its own inverter which is synchorised with the utility grid. In grid connected PV system, the mitigation plays an important role where the capacity of PV arrays increases it maintains power quality and it is necessary to comply with some requirements such as harmonic mitigation. Unless a maximum power point tracking (MPPT) algorithm is used, PV systems do not continuously produce their theoretical optimal power. Under various atmospheric conditions, MPPT is obtained… More >

  • Open Access

    ARTICLE

    Deriving Driver Behavioral Pattern Analysis and Performance Using Neural Network Approaches

    Meenakshi Malik1, Rainu Nandal1,*, Surjeet Dalal2, Vivek Jalglan3, Dac-Nhuong Le4,5

    Intelligent Automation & Soft Computing, Vol.32, No.1, pp. 87-99, 2022, DOI:10.32604/iasc.2022.020249

    Abstract It has been observed that driver behavior has a direct and considerable impact upon factors like fuel consumption, environmentally harmful emissions, and public safety, making it a key consideration of further research in order to monitor and control such related hazards. This has fueled our decision to conduct a study in order to arrive at an efficient way of analyzing the various parameters of driver behavior and find ways and means of positively impacting such behavior. It has been ascertained that such behavioral patterns can significantly impact the analysis of traffic-related conditions and outcomes. In such cases, the specific vehicular… More >

  • Open Access

    ARTICLE

    Heart Failure Patient Survival Analysis with Multi Kernel Support Vector Machine

    R. Sujatha1, Jyotir Moy Chatterjee2, NZ Jhanjhi3, Thamer A. Tabbakh4, Zahrah A. Almusaylim5,*

    Intelligent Automation & Soft Computing, Vol.32, No.1, pp. 115-129, 2022, DOI:10.32604/iasc.2022.019133

    Abstract Heart failure (HF) is an intercontinental pandemic influencing in any event 26 million individuals globally and is expanding in commonness. HF healthiness consumptions are extensive and will increment significantly with a maturing populace. As per the World Health Organization (WHO), Cardiovascular diseases (CVDs) are the major reason for all-inclusive death, taking an expected 17.9 million lives per year. CVDs are a class of issues of the heart, blood vessels and include coronary heart sickness, cerebrovascular illness, rheumatic heart malady, and various other conditions. In the medical care industry, a lot of information is as often as possible created. Nonetheless, it… More >

  • Open Access

    ARTICLE

    Prevention of Runtime Malware Injection Attack in Cloud Using Unsupervised Learning

    M. Prabhavathy1,*, S. UmaMaheswari2

    Intelligent Automation & Soft Computing, Vol.32, No.1, pp. 101-114, 2022, DOI:10.32604/iasc.2022.018257

    Abstract Cloud computing utilizes various Internet-based technologies to enhance the Internet user experience. Cloud systems are on the rise, as this technology has completely revolutionized the digital industry. Currently, many users rely on cloud-based solutions to acquire business information and knowledge. As a result, cloud computing services such as SaaS and PaaS store a warehouse of sensitive and valuable information, which has turned the cloud systems into the obvious target for many malware creators and hackers. These malicious attackers attempt to gain illegal access to a myriad of valuable information such as user personal information, password, credit/debit card numbers, etc., from… More >

  • Open Access

    ARTICLE

    Heart Rate Detection Using SVM Based on Video Imagery

    Wu Zeng1, Yi Sheng1,*, Qiuyu Hu1, Zhanxiong Huo1, Yingge Zhang1, Yuxuan Xie2

    Intelligent Automation & Soft Computing, Vol.32, No.1, pp. 377-387, 2022, DOI:10.32604/iasc.2022.017748

    Abstract According to the World Health Organization, the death rate of cardiovascular diseases ranks first in the composition of disease deaths. Research shows that the heart rate can be employed as an important physiological parameter to measure the health status of people’s cardiac health. A pressure pulse is formed by the periodic beating and contraction of the heart, so its rate and the pressure pulse signal have a distinct synchronous periodicity. Certain wavelengths of light are known to be absorbed by the capillaries in the human skin, where this absorption fluctuates in accordance with the heartbeat as the capillary blood volume… More >

  • Open Access

    ARTICLE

    Heart Disease Diagnosis Using Electrocardiography (ECG) Signals

    V. R. Vimal1,*, P. Anandan2, N. Kumaratharan3

    Intelligent Automation & Soft Computing, Vol.32, No.1, pp. 31-43, 2022, DOI:10.32604/iasc.2022.017622

    Abstract

    Electrocardiogram (ECG) monitoring models are commonly employed for diagnosing heart diseases. Since ECG signals are normally acquired for a longer time duration with high resolution, there is a need to compress the ECG signals for transmission and storage. So, a novel compression technique is essential in transmitting the signals to the telemedicine center to monitor and analyse the data. In addition, the protection of ECG signals poses a challenging issue, which encryption techniques can resolve. The existing Encryption-Then-Compression (ETC) models for multimedia data fail to properly maintain the trade-off between compression performance and signal quality. In this view, this study… More >

  • Open Access

    ARTICLE

    Modernization Framework to Enhance the Security of Legacy Information Systems

    Musawwer Khan1, Islam Ali1, Wasif Nisar1, Muhammad Qaiser Saleem2, Ali S. Ahmed2, Haysam E. Elamin3, Waqar Mehmood4, Muhammad Shafiq5,*

    Intelligent Automation & Soft Computing, Vol.32, No.1, pp. 543-555, 2022, DOI:10.32604/iasc.2022.016120

    Abstract Due to various issues such as lack of agility, low performance, security issues, and high maintenance costs, the organization replaces its legacy information system (LIS). However, with the expansion of information technology, the security of the old system has received great attention. The protection of legacy data and information is critical to the organization. However, achieving safety through modernization, redevelopment, or redesign of LIS is a time-consuming and costly solution, especially in small and medium enterprises (SMEs). In addition, newly developed systems often lose inherent business rules, data integrity, and user trust. In this paper, we propose a Security Modernization… More >

  • Open Access

    ARTICLE

    Requirement Design for Software Configuration and System Modeling

    Waqar Mehmood1, Abdul Waheed Khan2, Waqar Aslam3, Shafiq Ahmad4, Ahmed M. El-Sherbeeny4, Muhammad Shafiq5,*

    Intelligent Automation & Soft Computing, Vol.32, No.1, pp. 441-454, 2022, DOI:10.32604/iasc.2022.016116

    Abstract Software Configuration Management (SCM) aims to control the development of complex software systems. Traditional SCM systems treat text files as central artifacts, so they are mainly developed for source code. Such a system is not suitable for model-based software development with model-centric artifacts. When applying traditional systems to model-based software development, new challenges such as model mapping, differentiation, and merging arise. Many existing methods mainly use UML or domain-specific languages to determine model differences. However, as far as we know, there is no such technology for System Modeling Language (SysML) models. SysML covers the entire development life cycle of various… More >

  • Open Access

    ARTICLE

    Personalized Information Retrieval from Friendship Strength of Social Media Comments

    Fiaz Majeed1, Noman Yousaf2, Muhammad Shafiq3,*, Mohammed Ahmed Basheikh4, Wazir Zada Khan5, Akber Abid Gardezi6, Waqar Aslam7, Jin-Ghoo Choi3

    Intelligent Automation & Soft Computing, Vol.32, No.1, pp. 15-30, 2022, DOI:10.32604/iasc.2022.015685

    Abstract Social networks have become an important venue to express the feelings of their users on a large scale. People are intuitive to use social networks to express their feelings, discuss ideas, and invite folks to take suggestions. Every social media user has a circle of friends. The suggestions of these friends are considered important contributions. Users pay more attention to suggestions provided by their friends or close friends. However, as the content on the Internet increases day by day, user satisfaction decreases at the same rate due to unsatisfactory search results. In this regard, different recommender systems have been developed… More >

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