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  • Open Access

    REVIEW

    Challenges and Limitations in Speech Recognition Technology: A Critical Review of Speech Signal Processing Algorithms, Tools and Systems

    Sneha Basak1, Himanshi Agrawal1, Shreya Jena1, Shilpa Gite2,*, Mrinal Bachute2, Biswajeet Pradhan3,4,5,*, Mazen Assiri4

    CMES-Computer Modeling in Engineering & Sciences, Vol.135, No.2, pp. 1053-1089, 2023, DOI:10.32604/cmes.2022.021755

    Abstract Speech recognition systems have become a unique human-computer interaction (HCI) family. Speech is one of the most naturally developed human abilities; speech signal processing opens up a transparent and hand-free computation experience. This paper aims to present a retrospective yet modern approach to the world of speech recognition systems. The development journey of ASR (Automatic Speech Recognition) has seen quite a few milestones and breakthrough technologies that have been highlighted in this paper. A step-by-step rundown of the fundamental stages in developing speech recognition systems has been presented, along with a brief discussion of various modern-day developments and applications in… More >

  • Open Access

    ARTICLE

    Experimental Analysis of the Flow Characteristics of an Adjustable Critical-Flow Venturi Nozzle

    Chun Ye1,2,3, Jingjing Gao1,2,3, Zhihui Wang1,2,3, Weibiao Zheng1,2,3, Yibei Wang2,4, Xingkai Zhang1,2,3,*, Ming Liu5

    FDMP-Fluid Dynamics & Materials Processing, Vol.19, No.3, pp. 755-766, 2023, DOI:10.32604/fdmp.2022.021868

    Abstract The response of an adjustable critical-flow Venturi nozzle is investigated through a set indoor experiments aimed to determine the related critical flow rate, critical pressure ratio, and discharge coefficient. The effect of a variation in the cone displacement and liquid content on the critical flow characteristics is examined in detail and it is shown that the former can be used to effectively adjust the critical flow rate. The critical pressure ratio of the considered nozzle is above 0.85, and the critical flow control deviation of the gas flow is within ±3%. Liquid flow can reduce the gas critical mass flow… More >

  • Open Access

    ARTICLE

    Effect of Inclined Tension Crack on Rock Slope Stability by SSR Technique

    Ch. Venkat Ramana*, Niranjan Ramchandra Thote, Arun Kumar Singh

    Intelligent Automation & Soft Computing, Vol.36, No.1, pp. 1205-1214, 2023, DOI:10.32604/iasc.2023.031838

    Abstract The tension cracks and joints in rock or soil slopes affect their failure stability. Prediction of rock or soil slope failure is one of the most challenging tasks in the earth sciences. The actual slopes consist of inhomogeneous materials, complex morphology, and erratic joints. Most studies concerning the failure of rock slopes primarily focused on determining Factor of Safety (FoS) and Critical Slip Surface (CSS). In this article, the effect of inclined tension crack on a rock slope failure is studied numerically with Shear Strength Reduction Factor (SRF) method. An inclined Tension Crack (TC) influences the magnitude and location of… More >

  • Open Access

    REVIEW

    A Scientometric Analysis and Critical Review of Internet Gaming Disorder Behaviours

    Shirley Qi-Yu Sun1, Anson Chiu-Yan Tang2, Qing Wang1, Loretta Yuet-Foon Chung1,*, Regina Lai-Tong Lee3,4,*

    International Journal of Mental Health Promotion, Vol.24, No.6, pp. 795-810, 2022, DOI:10.32604/ijmhp.2022.024841

    Abstract There are increasing concerns about internet gaming disorder (IGD). No review of existing studies has systematically analyzed and visualized the trends of IGD and those early identification of symptoms related to IGD behaviors. This critical review focuses on the emerging trends for early identification of symptoms related to IGD behaviors in papers published in Web of Science Core Collection from 2009 to 2021 by scientometric analysis and critical review. Scientometric data analysis technique includes co-occurrence analysis, cluster analysis and burst analysis of authors, countries, keywords and co-citation to visualize those contributing and associated factors to develop IGD behaviors and their… More >

  • Open Access

    REVIEW

    PI3K/AKT signaling pathway as a critical regulator of Cisplatin response in tumor cells

    ZAHRA NASRPOUR NAVAEI1, GHAZALEH KHALILI-TANHA1, AMIR SADRA ZANGOUEI2, MOHAMMAD REZA ABBASZADEGAN3, MEYSAM MOGHBELI1,3,*

    Oncology Research, Vol.29, No.4, pp. 235-250, 2021, DOI:10.32604/or.2022.025323

    Abstract Chemotherapy is one of the main therapeutic modalities for cancer patients. Cisplatin (CDDP), as one of the first-line drugs, is of great importance in the chemotherapy of various tumors. However, a significant percentage of cancer patients are resistant to CDDP treatment. Due to the CDDP side effects on normal tissues, the diagnosis of CDDP resistance is required to suggest the most efficient therapeutic strategies for cancer patients. Several molecular mechanisms and signaling pathways are associated with CDDP response. The PI3K/AKT signaling pathway has a pivotal role in the transmission of extracellular signals into the cells to regulate various pathophysiological processes… More >

  • Open Access

    ARTICLE

    Developing Reliable Digital Healthcare Service Using Semi-Quantitative Functional Resonance Analysis

    Zhengshu Zhou*, Yutaka Matsubara, Hiroaki Takada

    Computer Systems Science and Engineering, Vol.45, No.1, pp. 35-50, 2023, DOI:10.32604/csse.2023.030848

    Abstract Since entering the era of Industry 4.0, the concept of Healthcare 4.0 has also been put forward and explored by researchers. How to use Information Technology (IT) to better serve people’s healthcare is one of the most featured emerging directions in the academic circle. An important field of Healthcare 4.0 research is the reliability engineering of healthcare service. Because healthcare systems often affect the health and even life of their users, developers must be very cautious in the design, development, and operation of these healthcare systems and services. The problems to be solved include the reliability of business process, system… More >

  • Open Access

    ARTICLE

    Deep Reinforcement Learning-Based Job Shop Scheduling of Smart Manufacturing

    Eman K. Elsayed1, Asmaa K. Elsayed2,*, Kamal A. Eldahshan3

    CMC-Computers, Materials & Continua, Vol.73, No.3, pp. 5103-5120, 2022, DOI:10.32604/cmc.2022.030803

    Abstract Industry 4.0 production environments and smart manufacturing systems integrate both the physical and decision-making aspects of manufacturing operations into autonomous and decentralized systems. One of the key aspects of these systems is a production planning, specifically, Scheduling operations on the machines. To cope with this problem, this paper proposed a Deep Reinforcement Learning with an Actor-Critic algorithm (DRLAC). We model the Job-Shop Scheduling Problem (JSSP) as a Markov Decision Process (MDP), represent the state of a JSSP as simple Graph Isomorphism Networks (GIN) to extract nodes features during scheduling, and derive the policy of optimal scheduling which guides the included… More >

  • Open Access

    PROCEEDINGS

    Aeroelastic Analysis of a Supercritical Airfoil with Free-Play in Transonic Flow

    Shun He1,*, Gaowei Cui2

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.24, No.1, pp. 1-4, 2022, DOI:10.32604/icces.2022.08753

    Abstract An investigation has been made into the nonlinear aeroelastic behavior of a supercritical airfoil (NLR 7301) considering free-play in transonic flow. Computational Fluid Dynamics (CFD) based on NavierStokes equations is implemented to calculate unsteady aerodynamic forces. A loosely coupled scheme with steady CFD and a graphic method are developed to obtain the static aeroelastic position. Frequency domain flutter solution with transonic aerodynamic influence coefficient is used to capture the linear flutter characteristic at different angle of attack (AoA). Time marching approach based on CFD is used to calculate the nonlinear aeroelastic response. The bifurcation diagram of pitching motion shows that… More >

  • Open Access

    ARTICLE

    Extracellular S100A11 Plays a Critical Role in Spread of the Fibroblast Population in Pancreatic Cancers

    Hitoshi Takamatsu*1, Ken-ichi Yamamoto*1, Nahoko Tomonobu*, Hitoshi Murata*, Yusuke Inoue, Akira Yamauchi, I Wayan Sumardika, Youyi Chen*, Rie Kinoshita*, Masahiro Yamamura, Hideyo Fujiwara#, Yosuke Mitsui*, **, Kota Araki*††, Junichiro Futami‡‡, Ken Saito§§, Hidekazu Iioka§§, I Made Winarsa Ruma§, Endy Widya Putranto¶¶, Masahiro Nishibori##, Eisaku Kondo§§, Yasuhiko Yamamoto***, Shinichi Toyooka††, Masakiyo Sakaguchi*

    Oncology Research, Vol.27, No.6, pp. 713-727, 2019, DOI:10.3727/096504018X15433161908259

    Abstract The fertile stroma in pancreatic ductal adenocarcinomas (PDACs) has been suspected to greatly contribute to PDAC progression. Since the main cell constituents of the stroma are fibroblasts, there is crosstalking(s) between PDAC cells and surrounding fibroblasts in the stroma, which induces a fibroblast proliferation burst. We have reported that several malignant cancer cells including PDAC cells secrete a pronounced level of S100A11, which in turn stimulates proliferation of cancer cells via the receptor for advanced glycation end products (RAGE) in an autocrine manner. Owing to the RAGE+ expression in fibroblasts, the extracellular abundant S100A11 will affect adjacent fibroblasts. In this… More >

  • Open Access

    ARTICLE

    Intelligent Resource Allocations for Software-Defined Mission-Critical IoT Services

    Chaebeen Nam1, Sa Math1, Prohim Tam1, Seokhoon Kim1,2,*

    CMC-Computers, Materials & Continua, Vol.73, No.2, pp. 4087-4102, 2022, DOI:10.32604/cmc.2022.030575

    Abstract Heterogeneous Internet of Things (IoT) applications generate a diversity of novelty applications and services in next-generation networks (NGN), which is essential to guarantee end-to-end (E2E) communication resources for both control plane (CP) and data plane (DP). Likewise, the heterogeneous 5th generation (5G) communication applications, including Mobile Broadband Communications (MBBC), massive Machine-Type Commutation (mMTC), and ultra-reliable low latency communications (URLLC), obligate to perform intelligent Quality-of-Service (QoS) Class Identifier (QCI), while the CP entities will be suffered from the complicated massive HIOT applications. Moreover, the existing management and orchestration (MANO) models are inappropriate for resource utilization and allocation in large-scale and complicated… More >

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