Home / Advanced Search

  • Title/Keywords

  • Author/Affliations

  • Journal

  • Article Type

  • Start Year

  • End Year

Update SearchingClear
  • Articles
  • Online
Search Results (22,225)
  • Open Access

    ARTICLE

    Optimization Based Vector Quantization for Data Reduction in Multimedia Applications

    V. R. Kavitha1,*, M. Kanchana2, B. Gobinathan3, K. R. Sekar4, Mohamed Yacin Sikkandar5

    Intelligent Automation & Soft Computing, Vol.31, No.2, pp. 853-867, 2022, DOI:10.32604/iasc.2022.018358

    Abstract Data reduction and image compression techniques in the present Internet and multi-media age are essential to increase image and video capacity in relation to memory, network bandwidth use and safe data transmission. There have been a different variety of image compression models with varying compression efficiency and visual image quality in the literature. Vector Quantization (VQ) is a widely used image coding scheme that is designed to generate an efficient coding book that includes a list of codewords that assign the input image vector to a minimum distance of Euclidea. The Linde–Buzo–Gray (LBG) historically widely used model produces the local… More >

  • Open Access

    ARTICLE

    ResNet CNN with LSTM Based Tamil Text Detection from Video Frames

    I. Muthumani1,*, N. Malmurugan2, L. Ganesan3

    Intelligent Automation & Soft Computing, Vol.31, No.2, pp. 917-928, 2022, DOI:10.32604/iasc.2022.018030

    Abstract Text content in videos includes applications such as library video retrievals, live-streaming advertisements, opinion mining, and video synthesis. The key components of such systems include video text detection and acknowledgments. This paper provides a framework to detect and accept text video frames, aiming specifically at the cursive script of Tamil text. The model consists of a text detector, script identifier, and text recognizer. The identification in video frames of textual regions is performed using deep neural networks as object detectors. Textual script content is associated with convolutional neural networks (CNNs) and recognized by combining ResNet CNNs with long short-term memory… More >

  • Open Access

    ARTICLE

    Optimal Control and Spectral Collocation Method for Solving Smoking Models

    Amr M. S. Mahdy1,*, Mohamed S. Mohamed1, Ahoud Y. Al Amiri2, Khaled A. Gepreel1

    Intelligent Automation & Soft Computing, Vol.31, No.2, pp. 899-915, 2022, DOI:10.32604/iasc.2022.017801

    Abstract In this manuscript, we solve the ordinary model of nonlinear smoking mathematically by using the second kind of shifted Chebyshev polynomials. The stability of the equilibrium point is calculated. The schematic of the model illustrates our proposition. We discuss the optimal control of this model, and formularize the optimal control smoking work through the necessary optimality cases. A numerical technique for the simulation of the control problem is adopted. Moreover, a numerical method is presented, and its stability analysis discussed. Numerical simulation then demonstrates our idea. Optimal control for the model is further discussed by clarifying the optimal control through… More >

  • Open Access

    ARTICLE

    A Time-Efficient and Exploratory Algorithm for the Rectangle Packing Problem

    Mohammad Bozorgi1, Morteza Mohammadi Zanjireh1,*, Mahdi Bahaghighat1, Qin Xin2

    Intelligent Automation & Soft Computing, Vol.31, No.2, pp. 885-898, 2022, DOI:10.32604/iasc.2022.016075

    Abstract Today, resource waste is considered as one of the most important challenges in different industries. In this regard, the Rectangle Packing Problem (RPP) can affect noticeably both time and design issues in businesses. In this study, the main objective is to create a set of non-overlapping rectangles so that they have specific dimensions within a rectangular plate with a specified width and an unlimited height. The ensued challenge is an NP-complete problem. NP-complete problem, any of a class of computational problems that still there are no efficient solution for them. Most substantial computer-science problems such as the traveling salesman problem,… More >

  • Open Access

    ARTICLE

    Quantifying Contribution of DER-Integrated EV Parking Lots to Reliability of Power Distribution Systems

    Bo Zeng*, Yixian Liu, Yangfan Luo

    Energy Engineering, Vol.118, No.6, pp. 1713-1728, 2021, DOI:10.32604/EE.2021.016678

    Abstract In the future smart cities, parking lots (PLs) can accommodate hundreds of electric vehicles (EVs) at the same time. This trend creates an opportunity for PLs to serve as a potential flexibility resource, considering growing penetration of EVs and integration of distributed energy resources DER (such as photovoltaic and energy storages). Given this background, this paper proposes a comprehensive evaluation framework to investigate the potential role of DER-integrated PLs (DPL) with the capability of vehicle-to-grid (V2G) in improving the reliability of the distribution network. For this aim, first, an overview for the distribution system with DPLs is provided. Then, a… More >

  • Open Access

    ARTICLE

    Electricity Demand Time Series Forecasting Based on Empirical Mode Decomposition and Long Short-Term Memory

    Saman Taheri1, Behnam Talebjedi2,*, Timo Laukkanen2

    Energy Engineering, Vol.118, No.6, pp. 1577-1594, 2021, DOI:10.32604/EE.2021.017795

    Abstract Load forecasting is critical for a variety of applications in modern energy systems. Nonetheless, forecasting is a difficult task because electricity load profiles are tied with uncertain, non-linear, and non-stationary signals. To address these issues, long short-term memory (LSTM), a machine learning algorithm capable of learning temporal dependencies, has been extensively integrated into load forecasting in recent years. To further increase the effectiveness of using LSTM for demand forecasting, this paper proposes a hybrid prediction model that incorporates LSTM with empirical mode decomposition (EMD). EMD algorithm breaks down a load time-series data into several sub-series called intrinsic mode functions (IMFs).… More >

  • Open Access

    ARTICLE

    A Study on Heat Transfer Enhancement through Various Nanofluids in a Square Cavity with Localized Heating

    Sheikh Hassan1, Didarul Ahasan Redwan1, Md. Mamun Molla1,2,*, Sharaban Thohura3, M. Abu Taher4, Sadia Siddiqa5

    Energy Engineering, Vol.118, No.6, pp. 1659-1679, 2021, DOI:10.32604/EE.2021.017657

    Abstract A two-dimensional (2D) laminar flow of nanofluids confined within a square cavity having localized heat source at the bottom wall has been investigated. The governing Navier–Stokes and energy equations have been non dimensionalized using the appropriate non dimensional variables and then numerically solved using finite volume method. The flow was controlled by a range of parameters such as Rayleigh number, length of heat source and nanoparticle volume fraction. The numerical results are represented in terms of isotherms, streamlines, velocity and temperature distribution as well as the local and average rate of heat transfer. A comparative study has been conducted for… More >

  • Open Access

    ARTICLE

    Comprehensive Study, Design and Economic Feasibility Analysis of Solar PV Powered Water Pumping System

    K. Karthick1,*, K. Jaiganesh2, S. Kavaskar3

    Energy Engineering, Vol.118, No.6, pp. 1887-1904, 2021, DOI:10.32604/EE.2021.017563

    Abstract The energy efficient product can be operated with longer duration. They offer wonderful solutions compared to other conventional water pumping system as it needs less maintenance, simple in installation, zero fuel cost, longer operating life, highly reliable and free from production of greenhouse gases. In this paper we analyzed the different topologies of DC–DC converter in terms of their operating region of MPPT, quality of input and output currents. We discussed the MPPT algorithms to address partial shading effects in SPV array, present state of the technology, factors affecting the performance of the system, efficiency improvements and identified the research… More >

  • Open Access

    ARTICLE

    Optimal Configuration of an Off-Grid Hybrid Wind-Hydrogen Energy System: Comparison of Two Systems

    Zekun Wang1,2,4, Yan Jia1,2,3,*, Yingjian Yang1, Chang Cai4,5, Yinpeng Chen1

    Energy Engineering, Vol.118, No.6, pp. 1641-1658, 2021, DOI:10.32604/EE.2021.017464

    Abstract Due to the uncertainty of renewable energy power generation and the non-linearity of load demand, it becomes complicated to determine the capacity of each device in hybrid renewable energy power generation systems. This work aims to optimize the capacity of two types of the off-grid hybrid wind-hydrogen energy system. We considered the maximum profit of the system and the minimum loss of power supply probability as optimization goals. Firstly, we established steady-state models of the wind turbine, alkaline electrolyzer, lead-acid battery, and proton exchange membrane fuel cell in matrix laboratory software to optimize the capacity. Secondly, we analyzed the operating… More >

  • Open Access

    ARTICLE

    The Effect of Injected Air Bubble Size on the Thermal Performance of a Vertical Shell and Helical Coiled Tube Heat Exchanger

    Saif S. Hasan1, Ali Sh. Baqir1, Hameed B. Mahood2,*

    Energy Engineering, Vol.118, No.6, pp. 1595-1609, 2021, DOI:10.32604/EE.2021.017433

    Abstract In the present study, the effect of injecting air bubble size on the thermal performance of a vertical counter-current shell and coiled tube heat exchanger is experimentally investigated. The experiments were accomplished in a cylindrical shape heat exchanger with a 50 cm height and 15 cm outer diameter. Copper coil with 3.939 m equivalent length and 0.6 cm outer diameter was used to carry the hot fluid (water). Four different cold fluid (shell side) flow rates under laminar flow conditions (316 ≤ Re ≤ 1223), constant hot (coil side) flow rate fluid rates , four different injected air flow rates , invariant… More >

Displaying 10831-10840 on page 1084 of 22225. Per Page