Muhammed Enes Bayrakdar^∗

Computer Systems Science and Engineering, Vol.35, No.4, pp. 283-292, 2020, DOI:10.32604/csse.2020.35.283

Abstract The underwater sensor network is a rapidly developing area of research with a wide range of applications such as data collection in the ocean, pollution monitoring, and ocean sampling. One of the most researched areas is the coverage of underwater sensor networks, which are the basis of many applications. The coverage is usually related to how effectively a network is monitored by the sensor. There are major problems in the ocean or marine region, especially in water pollution. Underwater pollution generally causes acidification, plastic residues, and toxins. Today, the determination of this pollution is carried More >

Chun Di^*

Intelligent Automation & Soft Computing, Vol.26, No.3, pp. 557-567, 2020, DOI:10.32604/iasc.2020.013934

Abstract In response to the rapidly changing market environment and adapting to many impacts such as political, economic and technological conditions, supply chain managers are increasingly demanding a high-speed and efficient way to adjust the design to optimize the supply chain structure. In order to facilitate the participating companies in the supply chain to quickly and effectively implement the supply chain design optimization strategy, improve the competitiveness of enterprises and the ability of the entire supply chain to resist risks. Enterprises have gradually reduced the space for enhancing the competitive advantage by reducing raw material consumption,… More >

Haytham Ayoub, Ehab Hussein Bani-Hani^*

Energy Engineering, Vol.117, No.1, pp. 41-47, 2020, DOI:10.32604/EE.2020.010412 - 28 February 2020

Abstract Offshore wind turbine is analyzed theoretically and experimentally for improving wind energy harvesting. The energy produced is calculated at different wind speeds. The wind speed curve is generated by measuring the wind speed on daily base for one year. Curves that show the power extraction for experimental study and from the theoretical calculations are generated. The energy production investigation is expanded over a period of 15 years after comparing the annual energy production in theory and practice. The study shows the cost of electricity over the same time period assuming different interest rates. Three time… More >

Rijia Ding¹, Xingyao Zhou^1,*, Rui Zhang¹, Wanqiu Lu²

Energy Engineering, Vol.117, No.1, pp. 27-39, 2020, DOI:10.32604/EE.2020.010372 - 28 February 2020

Abstract Coal is the main energy source in China. At present, the coal overcapacity is still serious in China. Accurately measuring the degree of China’s coal overcapacity can scientifically resolve the overcapacity, and is the premise of guiding the healthy development of coal industry and energy system. Using the translog cost function and the panel data of coal industry in all provinces of China from 2002 to 2011 and from 2012 to 2016, the research measures and compares the coal production capacity of “golden decade” and “cold winter” in China. The results show that: (1) The More >

Sarah Tweddell, Rohit S. Loomba, David S. Cooper, Alexis L. Benscoter

Congenital Heart Disease, Vol.14, No.5, pp. 785-790, 2019, DOI:10.1111/chd.12779

Abstract Introduction: Health care‐associated infections (HAIs) increase mortality, length of stay, and cost in hospitalized patients. The incidence of and risk factors for developing HAIs in the pediatric population after cardiac surgery have been studied. This study evaluates the impact of HAIs on length of stay, inpatient mortality, and cost of hospitalization in the pediatric population after cardiac surgery.
Methods: TheKids’InpatientDatabasewasqueriedforanalysis.Patientsunder18years of age who underwent cardiac surgery from 1997 to 2012 were included. HAIs were defined as central line‐associated blood stream infections, catheter‐associated urinary tract infections, ventilator‐associated pneumonias, and surgical wound infections. Univariate analysis compared admissions with and… More >

Patrick D. Evers^1,*, Tarek Alsaied^1,2,*, Jeffrey B. Anderson¹, James F. Cnota¹, Allison A. Divanovic¹

Congenital Heart Disease, Vol.14, No.2, pp. 221-229, 2019, DOI:10.1111/chd.12713

Abstract Objective: Maternal anti-Ro/SSA and anti-La/SSB antibodies can lead to fetal complete heart block (CHB). Current guidelines recommend weekly echocardiographic screening between 16 and 28 weeks gestation. Given the cost of screening and the rarity of conduction abnormalities in fetuses of mothers with low anti-Ro levels (<50 U/mL), we sought to identify a strategy that optimizes resource utilization.
Design: Decision analysis cost-utility modeling was performed for three screening paradigms: “standard screening” (SS) in which mid-gestation mothers are screened weekly, “limited screening” (LS) in which fetal echocardiograms are avoided unless the fetus develops bradycardia, and “targeted screening by maternal… More >

Wen Tian¹, Xiaopeng Ji^1,*, Weiwei Liu¹, Guangjie Liu¹, Rong Lin^1,2, Jiangtao Zhai³, Yuewei Dai³

CMC-Computers, Materials & Continua, Vol.60, No.1, pp. 193-211, 2019, DOI:10.32604/cmc.2019.05290

Abstract Cyber-physical system (CPS) is an advanced system that integrats physical processes, computation and communication resources. The security of cyber-physical systems has become an active research area in recent years. In this paper, we focus on defensive strategies against network attacks in CPS. We introduce both low- and highinteraction honeypots into CPS as a security management tool deliberately designed to be probed, attacked and compromised. In addition, an analysis resource constraint is introduced for the purpose of optimizing defensive strategies against network attacks in CPS. We study the offensive and defensive interactions of CPS and model… More >

Filipe L. A. Ribeiro^1,*, Andre R. Barbosa², Luis C. Neves³

CMES-Computer Modeling in Engineering & Sciences, Vol.120, No.3, pp. 657-676, 2019, DOI:10.32604/cmes.2019.06296

Abstract Although pre-Northridge earthquake steel moment resisting frame buildings have been shown to be susceptible to brittle connection failures, they still represent a large fraction of the existing steel buildings in the United States of America. In this study, the performance of the 3- and 9-story Los Angeles pre-Northridge SAC buildings are analyzed considering ductile and brittle beam-column connection failures, and their uncertainty. This paper contributes to understanding the influence of uncertainty associated with connections brittle fracture on building interstory deformation capacity and its impact on bias and variability of fragility functions and loss assessment. The More >

Daojian Zeng^1,2, Yao Xiao^1,2, Jin Wang^2,*, Yuan Dai^1,2, Arun Kumar Sangaiah³

CMC-Computers, Materials & Continua, Vol.60, No.3, pp. 1251-1261, 2019, DOI:10.32604/cmc.2019.06100

Abstract Recently, many researchers have concentrated on distant supervision relation extraction (DSRE). DSRE has solved the problem of the lack of data for supervised learning, however, the data automatically labeled by DSRE has a serious problem, which is class imbalance. The data from the majority class obviously dominates the dataset, in this case, most neural network classifiers will have a strong bias towards the majority class, so they cannot correctly classify the minority class. Studies have shown that the degree of separability between classes greatly determines the performance of imbalanced data. Therefore, in this paper we More >

K. Donald Tham^a, Asad M. Madni^b

Intelligent Automation & Soft Computing, Vol.24, No.1, pp. 17-26, 2018, DOI:10.1080/10798587.2017.1284411

Abstract The Sarbanes-Oxley (SOX) Act 2002 resulted from the mounting accounting and corporate scandals in the late 1990s and early 2000s. Since the passage of the SOX Act, companies are facing even greater challenges to meet raised expectations to provide accurate, visible, and timely information for SOX compliance. This research puts forth a systems design framework to achieve a real time, accurate, consistently traceable and easily verifiable SOX compliant technology. Our multidisciplinary and integrative systems design incorporates Overall Equipment Effectiveness (OEE) to ensure effective business performance within a knowledge represented company modeled as Enveloped Activity Based More >