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  • Open Access

    ARTICLE

    Monocular Visual SLAM for Markerless Tracking Algorithm to Augmented Reality

    Tingting Yang1,*, Shuwen Jia1, Ying Yu1, Zhiyong Sui2

    Intelligent Automation & Soft Computing, Vol.35, No.2, pp. 1691-1704, 2023, DOI:10.32604/iasc.2023.027466

    Abstract Augmented Reality (AR) tries to seamlessly integrate virtual content into the real world of the user. Ideally, the virtual content would behave exactly like real objects. This necessitates a correct and precise estimation of the user’s viewpoint (or that of a camera) with regard to the virtual content’s coordinate system. Therefore, the real-time establishment of 3-dimension (3D) maps in real scenes is particularly important for augmented reality technology. So in this paper, we integrate Simultaneous Localization and Mapping (SLAM) technology into augmented reality. Our research is to implement an augmented reality system without markers using the ORB-SLAM2 framework algorithm. In… More >

  • Open Access

    ARTICLE

    SMO Algorithm to Unravel CEED Problem using Wind and Solar

    A. Prabha1,*, G. Themozhi2, Rama Reddy Sathi3

    Intelligent Automation & Soft Computing, Vol.35, No.2, pp. 1857-1872, 2023, DOI:10.32604/iasc.2023.027442

    Abstract This research proposes a more advanced way to address Combined Economic Emission Dispatch (CEED) concerns. Economic Load Dispatch (ELD) and Economic Emission Dispatch (EED) have been implemented to reduce generating unit fuel costs and emissions. When both economics and emission targets are taken into account, the dispatch of an aggregate cost-effective emission challenge emerges. This research affords a mathematical modeling-based analytical technique for solving economic, emission, and collaborative economic and emission dispatch problems with only one goal. This study takes into account both the fuel cost target and the environmental impact of emissions. This bi-intention CEED problem is converted to… More >

  • Open Access

    ARTICLE

    SF-CNN: Deep Text Classification and Retrieval for Text Documents

    R. Sarasu1,*, K. K. Thyagharajan2, N. R. Shanker3

    Intelligent Automation & Soft Computing, Vol.35, No.2, pp. 1799-1813, 2023, DOI:10.32604/iasc.2023.027429

    Abstract Researchers and scientists need rapid access to text documents such as research papers, source code and dissertations. Many research documents are available on the Internet and need more time to retrieve exact documents based on keywords. An efficient classification algorithm for retrieving documents based on keyword words is required. The traditional algorithm performs less because it never considers words’ polysemy and the relationship between bag-of-words in keywords. To solve the above problem, Semantic Featured Convolution Neural Networks (SF-CNN) is proposed to obtain the key relationships among the searching keywords and build a structure for matching the words for retrieving correct… More >

  • Open Access

    ARTICLE

    Optimized Neural Network-Based Micro Strip Patch Antenna Design for Radar Application

    A. Yogeshwaran1,*, K. Umadevi2

    Intelligent Automation & Soft Computing, Vol.35, No.2, pp. 1491-1503, 2023, DOI:10.32604/iasc.2023.026424

    Abstract Microstrip antennas are low-profile antennas that are utilized in wireless communication systems. In recent years, communication engineers have been increasingly interested in it. Because of downsizing, novelty, and cost reduction, the number of wireless standards has expanded in recent years. Wideband technologies have evolved in addition to analog and digital services. Radars necessitate antenna subsystems that are low-profile and lightweight. Microstrip antennas have these qualities and are suited for radars as an alternative to the bulky and heavyweight reflector/slotted waveguide array antennas. A perforated corner single-line fed microstrip antenna is designed here. When compared to the basic square microstrip antenna,… More >

  • Open Access

    ARTICLE

    Randomized MILP framework for Securing Virtual Machines from Malware Attacks

    R. Mangalagowri1,*, Revathi Venkataraman2

    Intelligent Automation & Soft Computing, Vol.35, No.2, pp. 1565-1580, 2023, DOI:10.32604/iasc.2023.026360

    Abstract Cloud computing involves remote server deployments with public network infrastructures that allow clients to access computational resources. Virtual Machines (VMs) are supplied on requests and launched without interactions from service providers. Intruders can target these servers and establish malicious connections on VMs for carrying out attacks on other clustered VMs. The existing system has issues with execution time and false-positive rates. Hence, the overall system performance is degraded considerably. The proposed approach is designed to eliminate Cross-VM side attacks and VM escape and hide the server’s position so that the opponent cannot track the target server beyond a certain point.… More >

  • Open Access

    ARTICLE

    Harmonics Extraction Scheme for Power Quality Improvement Using Chbmli-Dstatcom Module

    R. Hemalatha1,*, M. Ramasamy2

    Intelligent Automation & Soft Computing, Vol.35, No.2, pp. 1505-1525, 2023, DOI:10.32604/iasc.2023.026301

    Abstract In recent day’s power distribution system is distress from acute power quality issues. In this work, for compensating Power Quality (PQ) disturbances a seven level cascaded H-bridge inverter is implemented in distribution static compensator which protects power quality problems in currents. Distribution Static Compensator (DSTATCOM) aid to enhances power factor and removes total harmonic distortion which is drawn from non-linear load. The D–Q reference theory based hysteresis current controller is employed to generate reference current for compensation of harmonics and reactive power, additionally Probabilistic Neural Network (PNN) classifier is used which easily separates exact harmonics. In the meantime fuzzy logic… More >

  • Open Access

    ARTICLE

    Modeling and Control of Parallel Hybrid Electric Vehicle Using Sea-Lion Optimization

    J. Leon Bosco Raj1,*, M. Marsaline Beno2

    Intelligent Automation & Soft Computing, Vol.35, No.2, pp. 1441-1454, 2023, DOI:10.32604/iasc.2023.026211

    Abstract This paper develops a parallel hybrid electric vehicle (PHEV) proportional integral controller with driving cycle. To improve fuel efficiency and reduce hazardous emissions in hybrid electric vehicles (HEVs) combine an electric motor (EM), a battery and an internal combustion engine (ICE). The electric motor assists the engine when accelerating, driving longer highways or climbing hills. This enables the use of a smaller, more efficient engine. It also makes use of the concept of regenerative braking to maximize energy efficiency. In a Hybrid Electric Vehicle (HEV), energy dissipated while braking is utilized to charge the battery. The proportional integral controller was… More >

  • Open Access

    ARTICLE

    Ensemble Based Learning with Accurate Motion Contrast Detection

    M. Indirani*, S. Shankar

    Intelligent Automation & Soft Computing, Vol.35, No.2, pp. 1657-1674, 2023, DOI:10.32604/iasc.2023.026148

    Abstract Recent developments in computer vision applications have enabled detection of significant visual objects in video streams. Studies quoted in literature have detected objects from video streams using Spatiotemporal Particle Swarm Optimization (SPSOM) and Incremental Deep Convolution Neural Networks (IDCNN) for detecting multiple objects. However, the study considered optical flows resulting in assessing motion contrasts. Existing methods have issue with accuracy and error rates in motion contrast detection. Hence, the overall object detection performance is reduced significantly. Thus, consideration of object motions in videos efficiently is a critical issue to be solved. To overcome the above mentioned problems, this research work… More >

  • Open Access

    ARTICLE

    Using a Software-Defined Air Interface Algorithm to Improve Service Quality

    Madiraju Sirisha1,*, P. Abdul Khayum2

    Intelligent Automation & Soft Computing, Vol.35, No.2, pp. 1627-1641, 2023, DOI:10.32604/iasc.2023.025980

    Abstract In the digital era, the Narrowband Internet of Things (Nb-IoT) influences the massive Machine-Type-Communication (mMTC) features to establish secure routing among the 5G/6G mobile networks. It supports global coverage to the low-cost IoT devices distributed in terrestrial networks. Its key traffic characteristics include robust uplink, moderate data rate/device, extremely high energy efficiency, prolonging device lifetime, and Quality of Service (QoS). This paper proposes a Deep Reinforcement Learning (DRL) combined software-defined air interface algorithm applied on the switching system, satisfying the user requirement and enabling them with the network resources to extend quality of service by choosing the most appropriate quality… More >

  • Open Access

    ARTICLE

    Buck Converter Current Measurement Using Differential Amplifier

    P. Rajeswari*, V. Manikandan

    Intelligent Automation & Soft Computing, Vol.35, No.2, pp. 1387-1402, 2023, DOI:10.32604/iasc.2023.025866

    Abstract The accuracy of the measured current is a preeminent parameter for Current Control based Power Converter applications to ensure genuine operation of the designed converter. The current measurement accuracy can be affected by several parameters which includes the type of technology used, components used for the selected technology, aging, usage, operating and environmental conditions. The effect of gain resistors and their manufacturing tolerances on differential amplifier-based buck converter current measurement is investigated in this work. The analysis mainly focused on the output voltage variation and its accuracy with respect to the change in gain resistance tolerances. The gain resistors with… More >

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