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    BEST PAPER 2021

    Process Optimization Method for Day Ward Based on Bayesian Decision-Tree

    Ting Chen1, Kai Pu2, Lanzhen Bian3, Min Rao4, Jing Hu5, Rugang Lu1,*, Jinyue Xia6 Intelligent Automation & Soft Computing, Vol.32, No.1, pp. 513-523, 2022, DOI:10.32604/iasc.2022.022510
    Abstract The day surgery management mode is mainly decentralized management, with clinical departments as the unit, and with reference to the experience of inter project operation management in benchmark hospitals, the empirical management is implemented. With the development of day surgery, the extensive decentralized management mode has been unable to meet the needs of the current day surgery development situation. At first, the paper carefully analyzes the existing problems in the day surgery process in the day ward of the Children’s Hospital of Nanjing Medical University. And then, the concerns of doctors, nurses, anesthesiologists and other hospital staff in day ward,… More >

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    BEST PAPER 2021

    A Design Framework for Smart Ration Shop Using Blockchain and IoT Technologies

    D. Malathi1, Vijayakumar Ponnusamy2,*, S. Saravanan3, D. Deepa4, Tariq Ahamed Ahanger5 Intelligent Automation & Soft Computing, Vol.32, No.1, pp. 605-619, 2022, DOI:10.32604/iasc.2022.022083
    Abstract The Public Distribution System (PDS) distributes the subsidized food and non-food items to poor populations through fair price shops (FPS). The PDS has been criticized for its urban bias and its failure to serve the underprivileged sections of the community effectively. The Current system manual-based data management and ledger management gives rise to much corruption in the process of extricating the poor from those who are less needy. There are chances for the block market because of the current methodology of data management. This article proposes a blockchain technology-based smart ration shop system that uses immutable smart contract-based transactions to… More >

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    BEST PAPER 2021

    Fully Authentication Services Scheme for NFC Mobile Payment Systems

    Munefah Alshammari*, Shadi Nashwan Intelligent Automation & Soft Computing, Vol.32, No.1, pp. 401-428, 2022, DOI:10.32604/iasc.2022.022065
    Abstract One commonly used wireless communication technology is Near-Field Communication (NFC). Smartphones that support this technology are used in contactless payment systems as identification devices to emulate credit cards. This technology has essentially focused on the quality of communication services and has somewhat disregarded security services. Communication messages between smartphones, the point of sale (POS), and service providers are susceptible to attack due to existing weaknesses, including that an adversary can access, block and modify the transmitted messages to achieve illegal goals. Therefore, there have been many research proposals in regards to authentication schemes for NFC communications in order to prevent… More >

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  • Research Article

    BEST PAPER 2021

    A Morphological Image Segmentation Algorithm for Circular Overlapping Cells

    Fuchu Zhang1, Yanpeng Wu2,*, Miaoqing Xu2, Sanjun Liu3, Changling Peng2, Zhichen Gao4 Intelligent Automation & Soft Computing, Vol.32, No.1, pp. 301-321, 2022, DOI:10.32604/iasc.2022.021929
    Abstract Cell segmentation is an important topic in medicine. A cell image segmentation algorithm based on morphology is proposed. First, some morphological operations, including top-hat transformation, bot-hat transformation, erosion operation, dilation operation, opening operation, closing operation, majority operation, skeleton operation, etc., are applied to remove noise or enhance cell images. Then the small blocks in the cell image are deleted as noise, the medium blocks are removed and saved as normal cells, and the large blocks are segmented as overlapping cells. Each point on the edge of the overlapping cell area to be divided is careful checked. If the shape of… More >

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    BEST PAPER 2021

    Analysis of Inventory Model for Quadratic Demand with Three Levels of Production

    Dharamender Singh1, Majed G. Alharbi2, Anurag Jayswal1, Ali Akbar Shaikh3,* Intelligent Automation & Soft Computing, Vol.32, No.1, pp. 167-182, 2022, DOI:10.32604/iasc.2022.021815
    Abstract The inventory framework is one of the standards of activity research fundamentals in ventures and business endeavors. Production planning includes all building production plans, including organizing and appointing exercises to every individual, gathering individuals or machines, and mastering work orders in every work environment. Production booking should take care of all issues, for example, limiting client standby time and production time; and viably utilizing the undertaking’s HR. This paper considered three degrees of a production inventory model for a consistent deterioration rate. This model assumes a significant part in the production of the board and assembling units. Request rate is… More >

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    BEST PAPER 2021

    A Multi-Simplex Imperialist Competitive Paradigm for Solving Nonlinear Physical Systems

    Javaid Ali1, Shaukat Iqbal2, Salem Alkhalaf3,* Intelligent Automation & Soft Computing, Vol.32, No.1, pp. 149-166, 2022, DOI:10.32604/iasc.2022.021788
    Abstract This paper proposes a novel gradient free multi-simplex topology fabric aided imperialist competitive algorithm (ICA) for solving nonlinear systems of algebraic equations by transforming them to equivalent global optimization problems. The high dependence of traditional gradient based solvers of such systems on initial guesses and the Jacobeans resulting in false convergence is the main motivation behind the present work. The present work provides a mechanism for enhancing exploitation powers of imperialist search phase of the algorithm and hence improves the convergence speed. The variants emerging from the proposed approach are applied to diverse nonlinear systems arising in different scientific areas… More >

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    BEST PAPER 2021

    Massive MIMO Codebook Design Using Gaussian Mixture Model Based Clustering

    S. Markkandan1,*, S. Sivasubramanian2, Jaison Mulerikkal3, Nazeer Shaik4, Beulah Jackson5, Lakshmi Naryanan6 Intelligent Automation & Soft Computing, Vol.32, No.1, pp. 361-375, 2022, DOI:10.32604/iasc.2022.021779
    Abstract The codebook design is the most essential core technique in constrained feedback massive multi-input multi-output (MIMO) system communications. MIMO vectors have been generally isotropic or evenly distributed in traditional codebook designs. In this paper, Gaussian mixture model (GMM) based clustering codebook design is proposed, which is inspired by the strong classification and analytical abilities of clustering techniques. Huge quantities of channel state information (CSI) are initially saved as entry data of the clustering process. Further, split into N number of clusters based on the shortest distance. The centroids part of clustering has been utilized for constructing a codebook with statistic… More >

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    BEST PAPER 2021

    Scrambling Based Riffle Shift on Stego-Image to Channelize the Ensured Data

    R. Bala Krishnan1, M. M. Anishin Raj2, N. Rajesh Kumar1, B. Karthikeyan3, G. Manikandan3,*, N. R. Raajan4 Intelligent Automation & Soft Computing, Vol.32, No.1, pp. 221-235, 2022, DOI:10.32604/iasc.2022.021775
    Abstract In recent years information hiding has got much attention as it acts as an alternate option for secured communication. The Secret content would get imbedded with the image using various possible image embodiment techniques, in which the Least Significant Bit (LSB) substitution is one of the preferred content embodiment strategy; however, asserting the quality and the originality of the content embedded image (stego) is yet a grievous concern in the field of Information Security. In this article, a proficient Scrambling Based Haar Wavelet Transform (SBHWT) approach has been sought to ensure the novelty of the stego-image that supports the safe… More >

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  • Research Article

    BEST PAPER 2021

    Strengthening Software Make vs. Buy Decision: A Mixed-Method Approach

    Farooq Javeed1, Basit Shahzad2, Asadullah Shaikh3, Mana Saleh Al Reshan3,*, Saba Ahmad1, Hani Alshahrani3, Khairan Rajab3 Intelligent Automation & Soft Computing, Vol.32, No.1, pp. 193-205, 2022, DOI:10.32604/iasc.2022.021769
    Abstract Over the past few decades, multiple software development process models, tools, and techniques have been used by practitioners. Despite using these techniques, most software development organizations still fail to meet customer’s needs within time and budget. Time overrun is one of the major reasons for project failure. There is a need to come up with a comprehensive solution that would increase the chances of project success. However, the “make vs. buy” decision can be helpful for “in time” software development. Social media have become a popular platform for discussion of all sorts of topics, so software development is no exception.… More >

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    BEST PAPER 2021

    Optimization of Heat Treatment Scheduling for Hot Press Forging Using Data-Driven Models

    Seyoung Kim1, Jeonghoon Choi1, Kwang Ryel Ryu2,* Intelligent Automation & Soft Computing, Vol.32, No.1, pp. 207-220, 2022, DOI:10.32604/iasc.2022.021752
    Abstract Scheduling heat treatment jobs in a hot press forging factory involves forming batches of multiple workpieces for the given furnaces, determining the start time of heating each batch, and sorting out the order of cooling the heated workpieces. Among these, forming batches is particularly difficult because of the various constraints that must be satisfied. This paper proposes an optimization method based on an evolutionary algorithm to search for a heat treatment schedule of maximum productivity with minimum energy cost, satisfying various constraints imposed on the batches. Our method encodes a candidate solution as a permutation of heat treatment jobs and… More >

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