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  • Open Access

    ARTICLE

    Performance Analysis of an Organic Rankine Cycle with a Preheated Ejector

    Kaiyong Hu1,*, Yumeng Zhang1, Tianrun Zhang1, Dequan Zhang2,*, Zhaoxian Yang3

    FDMP-Fluid Dynamics & Materials Processing, Vol.18, No.4, pp. 1183-1193, 2022, DOI:10.32604/fdmp.2022.019787

    Abstract The so-called organic Rankine cycle (ORC) is an effective technology allowing heat recovery from lower temperature sources. In the present study, to improve its thermal efficiency, a preheated ejector using exhaust steam coming from the expander is integrated in the cycle (EPORC). Considering net power output, pump power, and thermal efficiency, the proposed system is compared with the basic ORC. The influence of the ejector ratio (ER) of the preheated ejector on the system performances is also investigated. Results show that the net power output of the EPORC is higher than that of the basic ORC due to the decreasing… More >

  • Open Access

    ARTICLE

    Oil Production Optimization by Means of a Combined “Plugging, Profile Control, and Flooding” Treatment: Analysis of Results Obtained Using Computer Tomography and Nuclear Magnetic Resonance

    Yanyue Li1, Changlong Liu1, Wenbo Bao1,*, Baoqing Xue1, Peng Lv1, Nan Wang1, Hui Li1, Wenguo Ma2

    FDMP-Fluid Dynamics & Materials Processing, Vol.18, No.3, pp. 737-749, 2022, DOI:10.32604/fdmp.2022.019139

    Abstract

    Due to long-term water injection, often oilfields enter the so-called medium and high water cut stage, and it is difficult to achieve good oil recovery and water reduction through standard methods (single profile control and flooding measures). Therefore, in this study, a novel method based on “plugging, profile control, and flooding” being implemented at the same time is proposed. To assess the performances of this approach, physical simulations, computer tomography, and nuclear magnetic resonance are used. The results show that the combination of a gel plugging agent, a polymer microsphere flooding agent, and a high-efficiency oil displacement agent leads to… More >

  • Open Access

    ARTICLE

    Design of Precise Multiplier Using Inexact Compressor for Digital Signal Processing

    Nagarajan Shanmugam*, Vijeyakumar Krishnasamy Natarajan, Kalaiselvi Sundaram, Saravanakumar Natarajan

    Computer Systems Science and Engineering, Vol.42, No.2, pp. 619-638, 2022, DOI:10.32604/csse.2022.021008

    Abstract In the recent years, error recovery circuits in optimized data path units are adopted with approximate computing methodology. In this paper the novel multipliers have effective utilization in the newly proposed two different 4:2 approximate compressors that generate Error free Sum (ES) and Error free Carry (EC). Proposed ES and Proposed EC in 4:2 compressors are used for performing Partial Product (PP) compression. The structural arrangement utilizes Dadda structure based PP. Due to the regularity of PP arrangement Dadda multiplier is chosen for compressor implementation that favors easy standard cell ASIC design. In this, the proposed compression idealogy are more… More >

  • Open Access

    ARTICLE

    Efficacy of a Community-Based Trauma Recovery Program after a Fire Disaster

    Yun-Jung Choi1, Mi-Ra Won2, Dong-Hee Cho1,*

    International Journal of Mental Health Promotion, Vol.24, No.1, pp. 85-94, 2022, DOI:10.32604/ijmhp.2022.018017

    Abstract As industries develop, fire disasters and their associated damage are increasing. Investigating the mental health of victims is imperative because this is an essential issue for community recovery after a disaster. This study was conducted to determine the efficacy of a program implemented by a community mental health center based on the investigation of the victims’ depression and post-traumatic stress disorder (PTSD) levels immediately after the disaster and at one-year follow-up. As a result, victims’ depression and PTSD recovered over time, and more changes were confirmed. In particular, the high-risk group for PTSD showed a high program participation rate, and… More >

  • Open Access

    ARTICLE

    Fault Tolerance Techniques for Multi-Hop Clustering in Wireless Sensor Networks

    Adel Rajab*

    Intelligent Automation & Soft Computing, Vol.32, No.3, pp. 1743-1761, 2022, DOI:10.32604/iasc.2022.021922

    Abstract Wireless sensor networks (WSN) deploy many nodes over an extended area for traffic surveillance, environmental monitoring, healthcare, tracking wildlife, and military sensing. Nodes of the WSN have a limited amount of energy. Each sensor node collects information from the surrounding area and forwards it onto the cluster head, which then sends it on to the base station (BS). WSNs extend the lifetime of the network through clustering techniques. Choosing nodes with the greatest residual energy as cluster heads is based on the idea that energy consumption is periodically distributed between nodes. The sink node gathers information from its environment that… More >

  • Open Access

    ARTICLE

    Secured Route Selection Using E-ACO in Underwater Wireless Sensor Networks

    S. Premkumar Deepak*, M. B. Mukeshkrishnan

    Intelligent Automation & Soft Computing, Vol.32, No.2, pp. 963-978, 2022, DOI:10.32604/iasc.2022.022126

    Abstract Underwater wireless sensor networks (UWSNs) are promising, emerging technologies for the applications in oceanic research. UWSN contains high number of sensor nodes and autonomous underwater vehicles that are deployed to perform the data transmission in the sea. In UWSN networks, the sensors are placed in the buoyant which are highly vulnerable to selfish behavioural attack. In this paper, the major challenges in finding secure and optimal route navigation in UWSN are identified and in order to address them, Entropy based ACO algorithm (E-ACO) is proposed for secure route selection. Moreover, the Selfish Node Recovery (SNR) using the Grasshopper Optimisation Algorithm… More >

  • Open Access

    ARTICLE

    Database Recovery Technique for Mobile Computing: A Game Theory Approach

    Magda M. Madbouly1, Yasser F. Mokhtar2, Saad M. Darwish1,*

    CMC-Computers, Materials & Continua, Vol.70, No.2, pp. 3205-3219, 2022, DOI:10.32604/cmc.2022.019440

    Abstract Contact between mobile hosts and database servers presents many problems in the Mobile Database System (MDS). It is harmed by a variety of causes, including handoff, inadequate capacity, frequent transaction updates, and repeated failures, both of which contribute to serious issues with the information system’s consistency. However, error tolerance technicality allows devices to continue performing their functions in the event of a failure. The aim of this paper is to identify the optimal recovery approach from among the available state-of-the-art techniques in MDS by employing game theory. Several of the presented recovery protocols are chosen and evaluated in order to… More >

  • Open Access

    ARTICLE

    Moving Least Squares Interpolation Based A-Posteriori Error Technique in Finite Element Elastic Analysis

    Mohd Ahmed1,*, Devender Singh2, Saeed Al Qadhi1, Nguyen Viet Thanh3

    CMES-Computer Modeling in Engineering & Sciences, Vol.129, No.1, pp. 167-189, 2021, DOI:10.32604/cmes.2021.014672

    Abstract The performance of a-posteriori error methodology based on moving least squares (MLS) interpolation is explored in this paper by varying the finite element error recovery parameters, namely recovery points and field variable derivatives recovery. The MLS interpolation based recovery technique uses the weighted least squares method on top of the finite element method's field variable derivatives solution to build a continuous field variable derivatives approximation. The boundary of the node support (mesh free patch of influenced nodes within a determined distance) is taken as circular, i.e., circular support domain constructed using radial weights is considered. The field variable derivatives (stress… More >

  • Open Access

    ARTICLE

    Hybrid Neural Network for Automatic Recovery of Elliptical Chinese Quantity Noun Phrases

    Hanyu Shi1, Weiguang Qu1,2,*, Tingxin Wei2,3, Junsheng Zhou1, Yunfei Long4, Yanhui Gu1, Bin Li2

    CMC-Computers, Materials & Continua, Vol.69, No.3, pp. 4113-4127, 2021, DOI:10.32604/cmc.2021.019518

    Abstract In Mandarin Chinese, when the noun head appears in the context, a quantity noun phrase can be reduced to a quantity phrase with the noun head omitted. This phrase structure is called elliptical quantity noun phrase. The automatic recovery of elliptical quantity noun phrase is crucial in syntactic parsing, semantic representation and other downstream tasks. In this paper, we propose a hybrid neural network model to identify the semantic category for elliptical quantity noun phrases and realize the recovery of omitted semantics by supplementing concept categories. Firstly, we use BERT to generate character-level vectors. Secondly, Bi-LSTM is applied to capture… More >

  • Open Access

    ARTICLE

    Fault-Tolerant Communication Induced Checkpointing and Recovery Protocol Using IoT

    Neha Malhotra1,2,*, Manju Bala3

    Intelligent Automation & Soft Computing, Vol.30, No.3, pp. 945-960, 2021, DOI:10.32604/iasc.2021.019082

    Abstract In mobile computing systems, nodes in the network take checkpoints to survive failures. Certain characteristics of mobile computing systems such as mobility, low bandwidth, disconnection, low power consumption, and limited memory make these systems more prone to failures. In this paper, a novel minimum process communication-induced checkpointing algorithm that makes full use of the computation ability and implementation of effective stable storage in a mobile computing system is proposed. The said approach initiates by taking spontaneous checkpoints by each node in phase 1 using a logistic function that is specifically used to estimate the time interval between two checkpoints and… More >

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