Hanbo Zhu^1,2, Changqing Miao^1,2,*, Meiling Zhuang^1,2

CMES-Computer Modeling in Engineering & Sciences, Vol.118, No.3, pp. 471-491, 2019, DOI:10.31614/cmes.2019.04382

Abstract Current building design codes allow the appearance of structural and nonstructural damage under design basis earthquakes. The research regarding probabilistic seismic loss estimation in domestic building structure is urgent. The evaluation in this paper is based on a 11-story reinforced concrete office building, incremental dynamic analysis (IDA) is conducted in Perform 3D program using models capable to simulate all possible limit states up to collapse. Next, the probability distribution of post-earthquake casualties, rebuild costs repair costs and business downtime loss are calculated in PACT software for the studied building considering the modified component vulnerability groups More >

Zhijuan Wang^1,2, Xiaobin Zhao^1,2, Wei Song^1,*, Antai Wang³

CMC-Computers, Materials & Continua, Vol.61, No.1, pp. 213-225, 2019, DOI:10.32604/cmc.2019.05690

Abstract Readability is a fundamental problem in textbooks assessment. For low re-sources languages (LRL), however, little investigation has been done on the readability of textbook. In this paper, we proposed a readability assessment method for Tibetan textbook (a low resource language). We extract features based on the information that are gotten by Tibetan segmentation and named entity recognition. Then, we calculate the correlation of different features using Pearson Correlation Coefficient and select some feature sets to design the readability formula. Fit detection, F test and T test are applied on these selected features to generate a More >

Xiangyan Tang¹, Qidong Zheng^1,*, Jieren Cheng^1,2, Victor S. Sheng³, Rui Cao¹, Meizhu Chen¹

CMC-Computers, Materials & Continua, Vol.60, No.3, pp. 1263-1281, 2019, DOI:10.32604/cmc.2019.06173

Abstract The existing network security situation assessment methods cannot effectively assess the Distributed denial-of-service (DDoS) attack situation. In order to solve these problems, we propose a DDoS attack situation assessment method via optimized cloud model based on influence function. Firstly, according to the state change characteristics of the IP addresses which are accessed by new and old user respectively, this paper defines a fusion feature value. Then, based on this value, we establish a V-Support Vector Machines (V-SVM) classification model to analyze network flow for identifying DDoS attacks. Secondly, according to the change of new and… More >

Kamaljit Kaur^{1, *}, Kuljit Kaur²

CMC-Computers, Materials & Continua, Vol.60, No.3, pp. 913-946, 2019, DOI:10.32604/cmc.2019.07675

Abstract Hard Disk drives (HDDs) are an essential component of cloud computing and big data, responsible for storing humongous volumes of collected data. However, HDD failures pose a huge challenge to big data servers and cloud service providers. Every year, about 10% disk drives used in servers crash at least twice, lead to data loss, recovery cost and lower reliability. Recently, the researchers have used SMART parameters to develop various prediction techniques, however, these methods need to be improved for reliability and real-world usage due to the following factors: they lack the ability to consider the More >

Kaijun Xu¹, Xueting Chen², Yusheng Yao¹, Shanshan Li¹

Intelligent Automation & Soft Computing, Vol.24, No.3, pp. 603-611, 2018, DOI:10.31209/2018.100000027

Abstract The lateral conflict risk assessment of low-altitude training airspace strategic planning, which is based on the TSE errors has always been a difficult task for training flight research. In order to effectively evaluate the safety interval and lateral collision risk in training airspace, in this paper, TSE error performance using a weakly supervised learning method was modelled. First, the lateral probability density function of TSE is given by using a multidimensional random variable covariance matrix, and the risk model of a training flight lateral collision based on TSE error is established. The lateral conflict risk More >

E. Grigoroudis, F. Kanellos, V. S. Kouikoglou, Y. A. Phillis

Intelligent Automation & Soft Computing, Vol.24, No.2, pp. 319-330, 2018, DOI:10.1080/10798587.2017.1292716

Abstract Climate change due to anthropogenic CO2 and other greenhouse gas emissions has had and will continue to have widespread negative impacts on human society and natural ecosystems. Drastic and concerted actions should be undertaken immediately if such impacts are to be prevented. The Paris Agreement on climate change aims to limit global mean temperature below 2 °C compared to the pre-industrial level. Using simulation and optimization tools and the most recent data, this paper investigates optimal emissions policies satisfying certain temperature constraints. The results show that only if we consider negative emissions coupled with drastic emissions… More >

Wen Jiang, Chunhe Xie, Boya Wei, Yongchuan Tang

Intelligent Automation & Soft Computing, Vol.24, No.1, pp. 165-172, 2018, DOI:10.1080/10798587.2017.1327158

Abstract The main objective of this paper is to propose a new method for failure mode and effects analysis (FMEA) based on Z-numbers. In the proposed method, firstly, Z-numbers are used to perform the valuations (Z-valuation) of the risk factors like occurrence (O), severity (S) and detection (D). Secondly, the Z-valuations of the risk factors are integrated by fuzzy weighted mean method. A new risk priority number named as ZRPN is calculated to prioritize failure modes based on a modified method of ranking fuzzy numbers. Finally, a case study for the rotor blades of an aircraft More >

Yunlan Xue^a, Lingyu Xu^b, Jie Yu^b, Gaowei Zhang^b

Intelligent Automation & Soft Computing, Vol.24, No.1, pp. 97-106, 2018, DOI:10.1080/10798587.2016.1267247

Abstract The increase of scale and complexity of Internet big data presents unprecedented opportunities on Cyber-Physical Systems (CPS). The incompleteness and incredibility of Internet big data are challenging issues for confirming the event influence scope. To solve the above problem, we propose CyberPhysical Space Event Model (CPSEM) to analyze event influence in multi-viewer, which maps real data into Cyber Space (CS) and Physical Space (PS). In addition, we propose Event Influence Scope Detection Algorithm (EISDA) to detect the scope of a hot event in Cyber Space and Physical Space. More >

Ashley E. Neal¹, Elizabeth Lehto¹, Karen Hughes Miller², Erin Davis³, Craig Ziegler²

Congenital Heart Disease, Vol.13, No.5, pp. 788-793, 2018, DOI:10.1111/chd.12626

Abstract Objective: The 2016 American Board of Pediatrics (ABP) content outline is comprehensive, including more than 50 cardiology-specific objectives within eight content areas. This study complements the quantitative analysis of a Kentucky-wide survey of trainees, pediatricians, and pediatric cardiologists asking them to identify “most important” cardiology content by analyzing their open-ended comments about “what should be added” and “why?” within these eight categories.
Design, Methods, Outcome Measures: This cross-sectional study used an original, online survey instrument based on the 2016 ABP cardiology-specific objectives. We began an initial analysis of the qualitative data using Pandit’s version of Glaser and… More >

Daniel E. Ehrmann¹, Matthew Mulvahill², Shaunda Harendt^1,3, Jessica Church¹, Amy Stimmler¹, Piyagarnt Vichayavilas^1,4, Sanja Batz^1,5, Jennifer Rodgers^1,5, Michael DiMaria¹, James Jaggers¹, Cindy Barrett¹, Jon Kaufman¹

Congenital Heart Disease, Vol.13, No.1, pp. 31-37, 2018, DOI:10.1111/chd.12550

Abstract Background: Feeding practices after neonatal and congenital heart surgery are complicated and variable, which may be associated with prolonged hospitalization length of stay (LOS). Systematic assessment of feeding skills after cardiac surgery may earlier identify those likely to have protracted feeding difficulties, which may promote standardization of care.
Methods: Neonates and infants ≤3 months old admitted for their first cardiac surgery were retrospectively identified during a 1-year period at a single center. A systematic feeding readiness assessment (FRA) was utilized to score infant feeding skills. FRA scores were assigned immediately prior to surgery and 1, 2, and… More >