Jin Yang¹, Tao Li¹, Gang Liang^1,*, Wenbo He², Yue Zhao³

CMES-Computer Modeling in Engineering & Sciences, Vol.120, No.1, pp. 1-23, 2019, DOI:10.32604/cmes.2019.04727

Abstract Deep Learning presents a critical capability to be geared into environments being constantly changed and ongoing learning dynamic, which is especially relevant in Network Intrusion Detection. In this paper, as enlightened by the theory of Deep Learning Neural Networks, Hierarchy Distributed-Agents Model for Network Risk Evaluation, a newly developed model, is proposed. The architecture taken on by the distributed-agents model are given, as well as the approach of analyzing network intrusion detection using Deep Learning, the mechanism of sharing hyper-parameters to improve the efficiency of learning is presented, and the hierarchical evaluative framework for Network More >

Youxi Wu^1,2, Shengyuan Shi^1,2, Jingyu Liu^1,2,*, Huaizhong Zhu^1,2

Computer Systems Science and Engineering, Vol.33, No.5, pp. 309-316, 2018, DOI:10.32604/csse.2018.33.309

Abstract With the rapid development of information technology and the explosive growth of data, the scale of storage equipment is growing rapidly. The high energy consumption storage devices have become a serious problem for data centers. For data storage, the model of sequential data access a storage system is commonly used. Aiming at the characteristics of a sequential data storage system, this paper, we propose a structure, named Adapted to Dynamic Load based on Redundant Array Independent Disks (ADL-RAID) which is an effective energy-saving data layout for dynamic loads based on the existing Semi-Redundant Array Independent… More >

Haisheng Yu¹, Heng Qi¹, Keqiu Li¹, Jianhui Zhang¹,Peng Xiao², Xun Wang¹

Computer Systems Science and Engineering, Vol.33, No.4, pp. 251-258, 2018, DOI:10.32604/csse.2018.33.251

Abstract The routing mechanism in Data Center networks can affect network performance and latency significantly. Hash-based method, such as ECMP (Equal-Cost Multi-Path), has been widely used in Data Center networks to fulfill the requirement of load balance. However, ECMP statically maps one flow to a path by a hash method, which results in some paths overloaded while others remain underutilized. Some dynamic flow scheduling schemes choose the most underutilized link as the next hop to better utilize the network bandwidth, while these schemes lacks of utilizing the global state of the network. To achieve high bandwidth… More >

Vidblain Amaro-Ortega^1,∗, Arnoldo Díaz-Ramírez², Brenda Leticia Flores-Ríos¹, Félix Fernando González-Navarro¹, Frank Werner³, Larysa Burtseva¹

Computer Systems Science and Engineering, Vol.33, No.1, pp. 31-40, 2018, DOI:10.32604/csse.2018.33.031

Abstract The Linux operating system has been employed to execute numerous real-time applications. However, it is limited to support soft real-time systems by two scheduling policies: First-In-First-Out and Round Robin. For real-time systems with critical constraints, the soft real-time support and these scheduling policies are still insufficient. In this work, the Earliest Deadline First scheduling policy, which has been shown in theory to be an optimal one in uniprocessor systems, is introduced as an extension of the Linux kernel. This policy is implemented into the real-time class, without the necessity of defining an additional class. The More >

Samia Allaoua Chelloug^a, Mohamed A. El-Zawawy^b,c

Intelligent Automation & Soft Computing, Vol.24, No.2, pp. 309-318, 2018, DOI:10.1080/10798587.2017.1290328

Abstract The Internet of things (IoT) applications span many potential fields. Furthermore, smart homes, smart cities, smart vehicular networks, and healthcare are very attractive and intelligent applications. In most of these applications, the system consists of smart objects that are equipped by sensors and Radio Frequency Identification (RFID) and may rely on other technological computing and paradigm solutions such as M2 M (machine to machine) computing, Wifi, Wimax, LTE, cloud computing, etc. Thus, the IoT vision foresees that we can shift from traditional sensor networks to pervasive systems, which deliver intelligent automation by running services on objects.… More >

Mohd Nizam Mat Bah¹, Mohd Hanafi Sapian¹, Mohammad Tamim Jamil¹, Nisah Abdullah¹, Emieliyuza Yusnita Alias¹, Norazah Zahari²

Congenital Heart Disease, Vol.13, No.6, pp. 1012-1027, 2018, DOI:10.1111/chd.12672

Abstract Objectives: There is limited data on congenital heart disease (CHD) from the lower‐ and middle‐income country. We aim to study the epidemiology of CHD with the specific objective to estimate the birth prevalence, severity, and its trend over time.
Design: A population‐based study with data retrieved from the Pediatric Cardiology Clinical Information System, a clinical registry of acquired and congenital heart dis‐ ease for children.
Setting: State of Johor, Malaysia.
Patients: All children (0‐12 years of age) born in the state of Johor between January 2006 and December 2015.
Intervention: None.
Outcome measure: The birth prevalence, severity, and temporal trend over time.
… More >

Hitesh Agrawal^1,2, Douglas Moodie¹, Athar M. Qureshi^1,2, Alisa A. Acosta³, Jose A. Hernandez⁴, Michael C. Braun³, Henri Justino^1,2

Congenital Heart Disease, Vol.13, No.3, pp. 349-356, 2018, DOI:10.1111/chd.12608

Abstract Background: Renovascular hypertension (RVH) can be caused by renal artery stenosis (RAS) and/ or middle aortic syndrome (MAS).
Methods: Patients who received surgical or transcatheter treatment for RVH between 1/1991 and 11/2017 were retrospectively reviewed using age = adjusted blood pressure ratio (BPR).
Results: Fifty-three patients diagnosed with RVH at a median age of 4.5 (0–18) years were included. Vascular involvement ranged from MAS with RAS (20), RAS only (32), and MAS only (1). The first intervention was transcatheter in 47 patients (transcatheter group: angioplasty = 41, stenting = 5, and thrombectomy = 1), and surgical in 6… More >

Omar Meziab, Dominic J. Abrams, Mark E. Alexander, Laura Bevilacqua, Vassilios Bezzerides, Doug Y. Mah, Edward P. Walsh, John K. Triedman

Congenital Heart Disease, Vol.13, No.3, pp. 419-427, 2018, DOI:10.1111/chd.12589

Abstract Objective: This study evaluates the ability of experienced pediatric electrophysiologists (EPs) to reliably classify incomplete right bundle branch block (IRBBB) and assesses its clinical utility as an isolated ECG finding in a group of healthy outpatient children without prior cardiac evaluation.
Design: We performed a retrospective analysis of all electrocardiographic and echocardiographic records at Boston Children’s Hospital between January 1, 2005, and December 31, 2014. Echocardiographic diagnoses were identified if registered between the date of the index electrocardiogram and the ensuing year. A selected subset of 473 ECGs was subsequently reanalyzed in a blinded manner by six… More >

Qayyum S¹, SA Majid¹, A Bibi², A Ulfat¹, K Khanum¹, A Munir¹, S Nisar¹, S Aziz¹, N Mumtaz¹

Phyton-International Journal of Experimental Botany, Vol.87, pp. 191-197, 2018, DOI:10.32604/phyton.2018.87.191

Abstract Maize (Zea mays L., the third most important cereal crop after wheat and rice, is the major kharif (summer) crop of rainfed areas in Pakistan. The yield per hectare and total production of maize in Pakistan is low versus an exponentially increasing population. The objective of this work was to study the interactive effects of phytohormones [Gibberellic acid (GA), Sodium nitroprusside (SNP), Abscicic acid (ABA) and kinetin (KIN)] on morphological, physiological and biochemical parameters during the germination of maize seeds. Seeds were presoaked in different hormones, separately or in combinations. Priming with GA+SNP+ABA+KIN enhanced the total More >

Jianar A, JH Yuan, YF Yang

Phyton-International Journal of Experimental Botany, Vol.87, pp. 32-39, 2018, DOI:10.32604/phyton.2018.87.032

Abstract Ulmus macrocarpa Hance can form monodominant woodlands in the semiarid Keerqin sandy lands, China. Methods of sampling at meter intervals from the bases of trees at the woodland edges and isolated trees, respectively, were employed along vertical sections in different directions. Using statistical methods based on the density function of the Weibull distribution, the patterns of seed dispersal and the spatial expansion response of U. macrocarpa, which is a typical anemochorous plant, were analyzed. Although as an effect of the wind direction varying owing to the monsoon, there were differences in the degree of dispersal of seeds… More >