Wenbin Yu¹, Hao Feng¹, Yinsong Xu¹, Na Yin¹, Yadang Chen^2,3, Zhi-Xin Yang^3,*

CMC-Computers, Materials & Continua, Vol.67, No.1, pp. 241-252, 2021, DOI:10.32604/cmc.2021.012649 - 12 January 2021

Abstract Security and privacy issues have attracted the attention of researchers in the field of IoT as the information processing scale grows in sensor networks. Quantum computing, theoretically known as an absolutely secure way to store and transmit information as well as a speed-up way to accelerate local or distributed classical algorithms that are hard to solve with polynomial complexity in computation or communication. In this paper, we focus on the phase estimation method that is crucial to the realization of a general multi-party computing model, which is able to be accelerated by quantum algorithms. A More >

Haijun Geng^1,2,*, Han Zhang³, Yangyang Zhang⁴

CMC-Computers, Materials & Continua, Vol.66, No.2, pp. 1733-1744, 2021, DOI:10.32604/cmc.2020.013355 - 26 November 2020

Abstract With an increasing urgent demand for fast recovery routing mechanisms in large-scale networks, minimizing network disruption caused by network failure has become critical. However, a large number of relevant studies have shown that network failures occur on the Internet inevitably and frequently. The current routing protocols deployed on the Internet adopt the reconvergence mechanism to cope with network failures. During the reconvergence process, the packets may be lost because of inconsistent routing information, which reduces the network’s availability greatly and affects the Internet service provider’s (ISP’s) service quality and reputation seriously. Therefore, improving network availability… More >

Sun-Taag Choe, We-Duke Cho^*, Jai-Hoon Kim, and Ki-Hyung Kim

Intelligent Automation & Soft Computing, Vol.26, No.4, pp. 679-691, 2020, DOI:10.32604/iasc.2020.010102

Abstract Recent research on activity recognition in wearable devices has identified a key challenge: k-nearest neighbors (k-NN) algorithms have a high operational time complexity. Thus, these algorithms are difficult to utilize in embedded wearable devices. Herein, we propose a method for reducing this complexity. We apply a clustering algorithm for learning data and assign labels to each cluster according to the maximum likelihood. Experimental results show that the proposed method achieves effective operational levels for implementation in embedded devices; however, the accuracy is slightly lower than that of a traditional k-NN algorithm. Additionally, our method provides More >

Jia Yang¹, Haiyuan Liu^1,*, Hao He²

CMES-Computer Modeling in Engineering & Sciences, Vol.125, No.1, pp. 111-123, 2020, DOI:10.32604/cmes.2020.010347 - 18 September 2020

Abstract The prediction of intrinsically disordered proteins is a hot research area in bio-information. Due to the high cost of experimental methods to evaluate disordered regions of protein sequences, it is becoming increasingly important to predict those regions through computational methods. In this paper, we developed a novel scheme by employing sequence complexity to calculate six features for each residue of a protein sequence, which includes the Shannon entropy, the topological entropy, the sample entropy and three amino acid preferences including Remark 465, Deleage/Roux, and Bfactor(2STD). Particularly, we introduced the sample entropy for calculating time series… More >

Yong-An Jung¹, Min-Goo Kang², Young-Hwan You^{1, *}

CMC-Computers, Materials & Continua, Vol.62, No.1, pp. 443-458, 2020, DOI:10.32604/cmc.2020.08777

Abstract Device-to-device (D2D) communication is considered as a major challenge in the long term evolution (LTE) network wherein devices directly communicate with each other. One of the key challenges in D2D sidelink is reliable and reduced-complexity synchronization. To address this issue, a computationally efficient sequential detection scheme for integer carrier frequency offset and sidelink identity is proposed in the LTED2D system. To perform the frequency offset detection without retrieving the sidelink identity, the conjugate relation between two primary sidelink synchronization sequences is exploited, which facilitates the detection tasks of frequency offset and sidelink identity to be More >

Tong Zhao, Bangwen Peng

Intelligent Automation & Soft Computing, Vol.25, No.4, pp. 725-733, 2019, DOI:10.31209/2019.100000076

Abstract In this article, the industry complex network of China’s manufacturing is built based on the central input flow matrix data of 2012 Input-Output Tables of China through industry network modeling. This article analyses the complex nature of China’s manufacturing network in three aspects, which are feature of industry network in general, community structure and industry nodes, using a series of statistics measuring complex network. More >

Shang Zhang^{1, *}, Seyedmehdi Karimi², Shahaboddin Shamshirband^{3, 4, *}, Amir Mosavi^5,6

CMC-Computers, Materials & Continua, Vol.58, No.2, pp. 567-583, 2019, DOI:10.32604/cmc.2019.02795

Abstract In the process of eliminating variables in a symbolic polynomial system, the extraneous factors are referred to the unwanted parameters of resulting polynomial. This paper aims at reducing the number of these factors via optimizing the size of Dixon matrix. An optimal configuration of Dixon matrix would lead to the enhancement of the process of computing the resultant which uses for solving polynomial systems. To do so, an optimization algorithm along with a number of new polynomials is introduced to replace the polynomials and implement a complexity analysis. Moreover, the monomial multipliers are optimally positioned More >

Jill M. Steiner¹, James N. Kirkpatrick¹, Susan R. Heckbert², Asma Habib¹, James Sibley³, William Lober³, J. Randall Curtis³

Congenital Heart Disease, Vol.13, No.1, pp. 65-71, 2018, DOI:10.1111/chd.12524

Abstract Introduction: There is relatively sparse literature on the use of administrative datasets for research in patients with adult congenital heart disease (ACHD). The goal of this analysis is to examine the accuracy of administrative data for identifying patients with ACHD who died.
Methods: A list of the International Classification of Diseases codes representing ACHD of moderate- or great-complexity was created. A search for these codes in the electronic health record of adults who received care in 2010–2016 was performed, and used state death records to identify patients who died during this period. Manual record review was completed… More >

G. R. Venkatakrishnan^1,*, R. Rengaraj², S. Salivahanan³

CMES-Computer Modeling in Engineering & Sciences, Vol.115, No.1, pp. 25-45, 2018, DOI:10.3970/cmes.2018.115.025

Abstract A new and efficient Grey Wolf Optimization (GWO) algorithm is implemented to solve real power economic dispatch (RPED) problems in this paper. The nonlinear RPED problem is one the most important and fundamental optimization problem which reduces the total cost in generating real power without violating the constraints. Conventional methods can solve the ELD problem with good solution quality with assumptions assigned to fuel cost curves without which these methods lead to suboptimal or infeasible solutions. The behavior of grey wolves which is mimicked in the GWO algorithm are leadership hierarchy and hunting mechanism. The More >

María P BENAVIDES¹, Susana M GALLEGO¹, Facundo RAMOS ARTUSO², Mariana CHECOVICH³, Andrea GALATRO^*

BIOCELL, Vol.40, No.1, pp. 1-6, 2016, DOI:10.32604/biocell.2016.40.001

Abstract Plants are exposed to environmental stress, in natural and agricultural conditions.Nitric oxide (NO), a small gaseous molecule which plays important roles in plants, has been involved in many physiological processes, and emerged as an important endogenous signaling molecule in the adaptation of plants to biotic and abiotic stress. NO is produced from a variety of enzymatic and non enzymatic sources, which are not yet fully understood. Also, NO and reactive nitrogen species (RNS) can produce posttranslational modifications affecting protein function. Nitrate reductase, a key enzyme in the nitrogen metabolism, is a proposed source of NO More >