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  • Open Access

    ARTICLE

    Research into Visual Servo Based Haptic Feedback Teleoperation

    Tao Ni1, Lingtao Huang1,*, Huanfei Zheng2, Hongyan Zhang1

    Intelligent Automation & Soft Computing, Vol.27, No.1, pp. 143-158, 2021, DOI:10.32604/iasc.2021.012268

    Abstract To overcome the problem that a teleoperation system loses robustness when the target moves outside the robot’s visual field or it is far away from the desired position, and to improve the operability and controllability of a master-slave teleoperation system, we present an image servo based haptic feedback (ISBHF) control method for teleoperating. The ISBHF control method involves extracting target feature points and constructing image servo based virtual force. First, the image characteristics of the environment and targets are identified and extracted by a 3D reconstruction method. A composite image Jacobian matrix is used to construct virtual guidance force based… More >

  • Open Access

    ARTICLE

    An Improved Range Doppler Algorithm Based on Squint FMCW SAR Imaging

    Qi Chen, Wei Cui*, Jianqiu Sun, Xingguang Li, Xuyu Tian

    Intelligent Automation & Soft Computing, Vol.27, No.1, pp. 115-126, 2021, DOI:10.32604/iasc.2021.011617

    Abstract The existing range-Doppler algorithms for SAR imaging are affected by a fast-time Doppler effect so they cannot be directly applied to FMCW SAR. Moreover, range migration is more evident in squint mode. To reveal the influence of the continuous motion of FMCW SAR in the squint mode on the echo signal and optimize the imaging process, an improved range-Doppler algorithm is based on squint FMCW SAR imaging is proposed in this paper. Firstly, the imaging geometry model and echo signal model of FMCW SAR are analyzed and deduced. The problem of Doppler center offset under squint mode is eliminated by… More >

  • Open Access

    ARTICLE

    Big Data of Home Energy Management in Cloud Computing

    Rizwan Munir1,*, Yifei Wei1, Rahim Ullah2, Iftikhar Hussain3, Kaleem Arshid4, Umair Tariq1

    Journal of Quantum Computing, Vol.2, No.4, pp. 193-202, 2020, DOI:10.32604/jqc.2020.016151

    Abstract A smart grid is the evolved form of the power grid with the integration of sensing, communication, computing, monitoring, and control technologies. These technologies make the power grid reliable, efficient, and economical. However, the smartness boosts the volume of data in the smart grid. To obligate full benefits, big data has attractive techniques to process and analyze smart grid data. This paper presents and simulates a framework to make sure the use of big data computing technique in the smart grid. The offered framework comprises of the following four layers: (i) Data source layer, (ii) Data transmission layer, (iii) Data… More >

  • Open Access

    ARTICLE

    A Critical Overview on Quantum Computing

    Saptarshi Sahoo1,*, Amit Kumar Mandal1, Pijus Kanti Samanta2, Indranil Basu1, Pratik Roy1

    Journal of Quantum Computing, Vol.2, No.4, pp. 181-192, 2020, DOI:10.32604/jqc.2020.015688

    Abstract Quantum Computing and Quantum Information Science seem very promising and developing rapidly since its inception in early 1980s by Paul Benioff with the proposal of quantum mechanical model of the Turing machine and later By Richard Feynman and Yuri Manin for the proposal of a quantum computers for simulating various problems that classical computer could not. Quantum computers have a computational advantage for some problems, over classical computers and most applications are trying to use an efficient combination of classical and quantum computers like Shor’s factoring algorithm. Other areas that are expected to be benefitted from quantum computing are Machine… More >

  • Open Access

    ARTICLE

    A Database-Driven Algorithm for Building Top-k Service-Based Systems

    Dandan Peng, Le Sun*

    Journal of Quantum Computing, Vol.2, No.4, pp. 171-179, 2020, DOI:10.32604/jqc.2020.015402

    Abstract The purpose of this work aims is to automatically build top-k (the number of suggested results) light weight service based systems (LitSBSs) on the basis of user-given keywords. Compared with our previous work, we use a score (oscore) to evaluate the keyword matching degree and QoS performance of a service so that we could find top-k LitSBSs with both high keyword matching degree and great QoS performance at the same time. In addition, to guarantee the quality of found top-k LitSBSs and improve the time efficiency, we redesign the database-driven algorithm (LitDB). We add the step of referential services selecting… More >

  • Open Access

    ARTICLE

    Quantum Computational Techniques for Prediction of Cognitive State of Human Mind from EEG Signals

    Seth Aishwarya1, Vaishnav Abeer1,*, Babu B. Sathish1, K. N. Subramanya2

    Journal of Quantum Computing, Vol.2, No.4, pp. 157-170, 2020, DOI:10.32604/jqc.2020.015018

    Abstract The utilization of quantum states for the representation of information and the advances in machine learning is considered as an efficient way of modeling the working of complex systems. The states of mind or judgment outcomes are highly complex phenomena that happen inside the human body. Decoding these states is significant for improving the quality of technology and providing an impetus to scientific research aimed at understanding the functioning of the human mind. One of the key advantages of quantum wave-functions over conventional classical models is the existence of configurable hidden variables, which provide more data density due to its… More >

  • Open Access

    REVIEW

    A Review of Energy-Related Cost Issues and Prediction Models in Cloud Computing Environments

    Mohammad Aldossary*

    Computer Systems Science and Engineering, Vol.36, No.2, pp. 353-368, 2021, DOI:10.32604/csse.2021.014974

    Abstract With the expansion of cloud computing, optimizing the energy efficiency and cost of the cloud paradigm is considered significantly important, since it directly affects providers’ revenue and customers’ payment. Thus, providing prediction information of the cloud services can be very beneficial for the service providers, as they need to carefully predict their business growths and efficiently manage their resources. To optimize the use of cloud services, predictive mechanisms can be applied to improve resource utilization and reduce energy-related costs. However, such mechanisms need to be provided with energy awareness not only at the level of the Physical Machine (PM) but… More >

  • Open Access

    ARTICLE

    Atrocious Impinging of COVID-19 Pandemic on Software Development Industries

    Wajdi Alhakami1, Ahmed Binmahfoudh2, Abdullah Baz3, Hosam Alhakami4, Md Tarique Jamal Ansari5, Raees Ahmad Khan5,*

    Computer Systems Science and Engineering, Vol.36, No.2, pp. 323-338, 2021, DOI:10.32604/csse.2021.014929

    Abstract COVID-19 is the contagious disease transmitted by Coronavirus. The majority of people diagnosed with COVID-19 may suffer from moderate-to- severe respiratory illnesses and stabilize without preferential treatment. Those who are most likely to experience significant infections include the elderly as well as people with a history of significant medical issues including heart disease, diabetes, or chronic breathing problems. The novel Coronavirus has affected not only the physical and mental health of the people but also had adverse impact on their emotional well-being. For months on end now, due to constant monitoring and containment measures to combat COVID-19, people have been… More >

  • Open Access

    ARTICLE

    Comparative Study of Valency-Based Topological Descriptor for Hexagon Star Network

    Ali N. A. Koam1, Ali Ahmad2,*, M. F. Nadeem3

    Computer Systems Science and Engineering, Vol.36, No.2, pp. 293-306, 2021, DOI:10.32604/csse.2021.014896

    Abstract A class of graph invariants referred to today as topological indices are inefficient progressively acknowledged by scientific experts and others to be integral assets in the depiction of structural phenomena. The structure of an interconnection network can be represented by a graph. In the network, vertices represent the processor nodes and edges represent the links between the processor nodes. Graph invariants play a vital feature in graph theory and distinguish the structural properties of graphs and networks. A topological descriptor is a numerical total related to a structure that portray the topology of structure and is invariant under structure automorphism.… More >

  • Open Access

    ARTICLE

    Blockchain Consistency Check Protocol for Improved Reliability

    Mohammed Alwabel, Youngmi Kwon*

    Computer Systems Science and Engineering, Vol.36, No.2, pp. 281-292, 2021, DOI:10.32604/csse.2021.014630

    Abstract Blockchain is a technology that provides security features that can be used for more than just cryptocurrencies. Blockchain achieves security by saving the information of one block in the next block. Changing the information of one block will require changes to all the next block in order for that change to take effect. Which makes it unfeasible for such an attack to happen. However, the structure of how blockchain works makes the last block always vulnerable for attacks, given that its information is not saved yet in any block. This allows malicious node to change the information of the last… More >

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