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  • Open Access

    ARTICLE

    Multiparty Quantum Key Agreement With Strong Fairness Property

    Vankamamidi S. Naresh1,∗, Sivaranjani Reddi2

    Computer Systems Science and Engineering, Vol.35, No.6, pp. 457-465, 2020, DOI:10.32604/csse.2020.35.457

    Abstract Multiparty Key Agreement (MKA) is the backbone for secure multiparty communication. Although numerous efficient MKA-cryptosystems are available in the classical field, their security relies on the assumption that some computational issues are infeasible. To overcome this dependency, a new area, quantum cryptography, evolves to support key agreement among two or more participants securely. In this paper, first, we present a two-part quantum key agreement with Strong Fairness Property (SFP) and extends it to a Multiparty Quantum Key Agreement (MQKA) protocol. In the first round of proposed MQKA, a participant will act as a group controller (GC) and establishes two-party groups… More >

  • Open Access

    ARTICLE

    Human Activity Recognition Based on Parallel Approximation Kernel K-Means Algorithm

    Ahmed A. M. Jamel1,∗, Bahriye Akay2,†

    Computer Systems Science and Engineering, Vol.35, No.6, pp. 441-456, 2020, DOI:10.32604/csse.2020.35.441

    Abstract Recently, owing to the capability of mobile and wearable devices to sense daily human activity, human activity recognition (HAR) datasets have become a large-scale data resource. Due to the heterogeneity and nonlinearly separable nature of the data recorded by these sensors, the datasets generated require special techniques to accurately predict human activity and mitigate the considerable heterogeneity. Consequently, classic clustering algorithms do not work well with these data. Hence, kernelization, which converts the data into a new feature vector representation, is performed on nonlinearly separable data. This study aims to present a robust method to perform HAR data clustering to… More >

  • Open Access

    ARTICLE

    B-Spline Curve Approximation by Utilizing Big Bang-Big Crunch Method

    Özkan inik1,∗, Erkan Ülker2, ismail Koç2

    Computer Systems Science and Engineering, Vol.35, No.6, pp. 431-440, 2020, DOI:10.32604/csse.2020.35.431

    Abstract The location of knot points and estimation of the number of knots are undoubtedly known as one of the most difficult problems in B-Spline curve approximation. In the literature, different researchers have been seen to use more than one optimization algorithm in order to solve this problem. In this paper, Big Bang-Big Crunch method (BB-BC) which is one of the evolutionary based optimization algorithms was introduced and then the approximation of B-Spline curve knots was conducted by this method. The technique of reverse engineering was implemented for the curve knot approximation. The detection of knot locations and the number of… More >

  • Open Access

    ARTICLE

    An Accurate Persian Part-of-Speech Tagger

    Morteza Okhovvat1,∗, Mohsen Sharifi2,†, Behrouz Minaei Bidgoli2,‡

    Computer Systems Science and Engineering, Vol.35, No.6, pp. 423-430, 2020, DOI:10.32604/csse.2020.35.423

    Abstract The processing of any natural language requires that the grammatical properties of every word in that language are tagged by a part of speech (POS) tagger. To present a more accurate POS tagger for the Persian language, we propose an improved and accurate tagger called IAoM that supports properties of text to speech systems such as Lexical Stress Search, Homograph words Disambiguation, Break Phrase Detection, and main aspects of Persian morphology. IAoM uses Maximum Likelihood Estimation (MLE) to determine the tags of unknown words. In addition, it uses a few defined rules for the sake of achieving high accuracy. For… More >

  • Open Access

    ARTICLE

    Internet of Things in Healthcare: Architecture, Applications, Challenges, and Solutions

    Vankamamidi S. Naresh1,∗,†, Suryateja S. Pericherla2,‡, Pilla Sita Rama Murty3,§, Sivaranjani Reddi4,¶

    Computer Systems Science and Engineering, Vol.35, No.6, pp. 411-421, 2020, DOI:10.32604/csse.2020.35.411

    Abstract Healthcare, the largest global industry, is undergoing significant transformations with the genesis of a new technology known as the Internet of Things (IoT). Many healthcare leaders are investing more money for transforming their services to harness the benefits provided by IoT, thereby paving the way for the Internet of Medical Things (IoMT), an extensive collection of medical sensors and associated infrastructure. IoMT has many benefits like providing remote healthcare by monitoring health vitals of patients at a distant place, providing healthcare services to elderly people, and monitoring a large group of people in a region or country for detection and… More >

  • Open Access

    ARTICLE

    A Discovery Method for New Words From Mobile Product Comments

    Hai Yang Zhu1,∗,†, Xiaobo Yin1,∗,‡, Shunxiang Zhang1,∗,§, Zhongliang Wei1,¶, Guangli Zhu1,II, Meng-Yen Hsieh2,*,**

    Computer Systems Science and Engineering, Vol.35, No.6, pp. 399-410, 2020, DOI:10.32604/csse.2020.35.399

    Abstract A large number of new words in product reviews generated by mobile terminals are valuable indicators of the privacy preferences of customers. By clustering these privacy preferences, sufficient information can be collected to characterize users and provide a data basis for the research issues of privacy protection. The widespread use of mobile clients shortens the string length of the comment corpus generated by product reviews, resulting in a high repetition rate. Therefore, the effective and accurate recognition of new words is a problem that requires an urgent solution. Hence, in this paper, we propose a method for discovering new words… More >

  • Open Access

    ARTICLE

    Location Related Signals with Satellite Image Fusion Method Using Visual Image Integration Method

    G. Ravikanth1,∗, K. V. N. Sunitha2,†, B. Eswara Reddy3

    Computer Systems Science and Engineering, Vol.35, No.5, pp. 385-393, 2020

    Abstract Investigations were performed on a group utilizing (General Purpose Unit) GPU and executions were evaluated for the utilization of the created parallel usages to process satellite pictures from satellite Landsat7.The usage on a realistic group gives execution change from 2 to 18 times. The nature of the considered techniques was assessed by relative dimensionless global error in synthesis (ERGAS) and Quality Without Reference (QNR) measurements. The outcomes demonstrate execution picks ups and holding of value with the bunch of GPU contrasted with the outcomes and different analysts for a CPU and single GPU. The errand of upgrading the view of… More >

  • Open Access

    ARTICLE

    Implementation of Embedded Technology-Based English Speech Identification and Translation System

    Zheng Zeng

    Computer Systems Science and Engineering, Vol.35, No.5, pp. 377-383, 2020, DOI:10.32604/csse.2020.35.377

    Abstract Due to the increase in globalization, communication between different countries has become more and more frequent. Language barriers are the most important issues in communication. Machine translation is limited to texts, and cannot be an adequate substitute for oral communication. In this study, a speech recognition and translation system based on embedded technology was developed for the purpose of English speech recognition and translation. The system adopted the Hidden Markov Model (HMM) and Windows CE operating system. Experiments involving English speech recognition and EnglishChinese translation found that the accuracy of the system in identifying English speech was about 88%, and… More >

  • Open Access

    ARTICLE

    Parametric Evaluation of Routing Algorithms in Network on Chip Architecture

    Mohammad Behrouzian Nejad

    Computer Systems Science and Engineering, Vol.35, No.5, pp. 367-375, 2020, DOI:10.32604/csse.2020.35.367

    Abstract Considering that routing algorithms for the Network on Chip (NoC) architecture is one of the key issues that determine its ultimate performance, several things have to be considered for developing new routing algorithms. This includes examining the strengths, capabilities, and weaknesses of the commonly proposed algorithms as a starting point for developing new ones.
    Because most of the algorithms presented are based on the well-known algorithms that are studied and evaluated in this research. Finally, according to the results produced under different conditions, better decisions can be made when using the aforementioned algorithms as well as when presenting new routing… More >

  • Open Access

    ARTICLE

    Secure Information Access Strategy for a Virtual Data Centre

    Sivaranjani Balakrishnan1,∗, D. Surendran2,†

    Computer Systems Science and Engineering, Vol.35, No.5, pp. 357-366, 2020, DOI:10.32604/csse.2020.35.357

    Abstract With the arrival of on-demand computing, data centre requirements are extensive, with fluid boundaries. Loaded Internet applications, service-oriented architectures, virtualization and security provisioning are the major operations of a data centre. Security is an absolute necessity of any network architecture, and the virtual IT data centre is no exception. At the boundary, security is focused on securing the terminals of the data centre from external threats and providing a secure gateway to the Internet. The paradigm shift towards a new computing environment makes communications more complicated for Infrastructure Providers (InP). This complexity includes the security of the data centre’s components… More >

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