Lian Zhang^1,2,3,*, Linjun Fan⁴, Xin Xu⁵, Baowen Cao¹, Heng Zhang², Lihong Song³

Energy Engineering, Vol.118, No.2, pp. 399-410, 2021, DOI:10.32604/EE.2021.012647

Abstract Radiator thermal performance test equipment plays a key role in the processing of developing a new type of heat radiator and its application products. The precise of temperature controlling, temperature measuring and flow measuring are the vital factors for a radiator thermal performance test equipment. Based on the above background, this paper improves the measurement and control system of radiator thermal performance test equipment, which improves the accuracy of the radiator thermal performance test equipment. This paper also optimizes the software and hardware system simultaneously so as to improve the precision of the auto-test system of test equipment. The flow… More >

Xueqing Wang¹, Shuang Liu^1,*, Lejun Zhang²

Computer Systems Science and Engineering, Vol.36, No.1, pp. 259-269, 2021, DOI:10.32604/csse.2021.014343

Abstract The cost of highway is affected by many factors. Its composition and calculation are complicated and have great ambiguity. Calculating the cost of highway according to the traditional highway engineering estimation method is a completely tedious task. Constructing a highway cost prediction model can forecast the value promptly and improve the accuracy of highway engineering cost. This work sorts out and collects 60 sets of measured data of highway engineering; establishes an expressway cost index system based on 10 factors, including main route mileage, roadbed width, roadbed earthwork, and number of bridges; and processes the data through principal component analysis… More >

Jaafar Hallal^1,2,3,*, Mohammad Hammoud^2,3, Mahmoud Fakih^2,3,4, Ali Hallal^2,3

Sound & Vibration, Vol.54, No.4, pp. 225-236, 2020, DOI:10.32604/sv.2020.011513

Abstract The vibrations behavior analysis is an essential step in the mechanical design process. Several methods such as analytical modelling, numerical analysis and experimental measurements can be used for this purpose. However, the numerical or analytical models should be validated through experimental measurements, usually expensive. This paper introduces an inexpensive smartphone as an accurate, non-intrusive vibrations’ behavior measurement device. An experimental measurement procedure based on the video processing method is presented. This procedure allows the measurement of the natural frequencies and the mode shapes of a vibrating structure, simply by using a smartphone built-in camera. The experimental results are compared to… More >

Ruben Willems^1,*, Fouke Ombelet², Eva Goossens^2,3,4, Katya De Groote⁵, Werner Budts^6,7, Stéphane Moniotte⁸, Michèle de Hosson⁹, Liesbet Van Bulck^2,4, Arianne Marelli¹⁰, Philip Moons^2,11,12, Julie De Backer^4,9,#, Lieven Annemans^1,#

Congenital Heart Disease, Vol.15, No.6, pp. 399-429, 2020, DOI:10.32604/CHD.2020.011709

Abstract Objective: Cost-of-illness studies in Adult Congenital Heart Disease (ACHD) have mainly been limited to hospitalizations. This is the first paper to provide a comprehensive overview from a societal perspective including inpatient and outpatient medical costs, and absenteeism- and unemployment-related societal costs. Methods: A retrospective longitudinal (2006–2015) database analysis was performed in Belgium combining administrative and clinical databases (n = 10,572). Trends in resource use and costs per patient year were standardized to assess the impact of changes in the patient population composition. Generalized Linear Mixed Models assessed the impact of age, sex, lesion complexity, and time. Costs were converted to… More >

Tanzhong Fu^1,2,3, Yu Xue^1,*, Tancai Xia¹, Wang Jing¹, De Gejirifu¹

Energy Engineering, Vol.117, No.6, pp. 397-411, 2020, DOI:10.32604/EE.2020.011633

Abstract To further study the impact of renewable energy penetration on the technical transformation of distribution networks. Based on the output power characteristics of wind power and photovoltaics, a renewable energy grid-connected capacity model and a distribution network full cost-benefit model were constructed. Based on this, to maximize the comprehensive income of the distribution network and the renewable energy penetration rate, to establish the technical reform optimization model and search for the optimal solution through the improved NSGA-II algorithm. Finally, the effectiveness of the proposed model was verified by setting up three scenarios of simultaneous wind power, grid-connected wind power, grid-connected… More >

Huiyu Long¹, Yan Ma¹, Xiang Mao¹, Xinyuerong Sun^2,*

Journal on Big Data, Vol.2, No.2, pp. 63-70, 2020, DOI:10.32604/jbd.2020.011214

Abstract Under the background of big data, Informatization plays an important role in the development of the engineering cost industry. The rapid development of the industry and the increasing complexity of construction projects require higher standards of informatization. The current information processing methods and models have been difficultly to meet new requirements. Based on this, this study deeply analyzes the key factors that impede the informatization of engineering cost development, and tries to find corresponding solutions through theoretical analysis and empirical research to break these constraints. This will play a guiding role in the development of informatization in China's engineering cost… More >

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 out through a human surveillance… 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, labor costs and increasing production… 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 Enterprise Model (EABEM) that facilitates… More >

Rahul H. Rathod^1,2, Brittney Jurgen^1,2, Rose A. Hamershock³, Kevin G. Friedman^1,2, Audrey C. Marshall^1,2, Mihail Samnaliev⁴, Dionne A. Graham³, Kathy Jenkins^1,2, James E. Lock^1,2, Andrew J. Powell^1,2

Congenital Heart Disease, Vol.12, No.6, pp. 768-776, 2017, DOI:10.1111/chd.12508

Abstract Background: Standardized Clinical Assessment and Management Plans (SCAMPs) are a quality improvement initiative designed to reduce unnecessary utilization, decrease practice variation, and improve patient outcomes. We created a novel methodology, the SCAMP managed episode of care (SMEOC), which encompasses multiple encounters to assess the impact of the arterial switch operation (ASO) SCAMP on total costs.
Methods: All ASO SCAMP patients (dates March 2009 to July 2015) were compared to a control group of ASO patients (January 2001 to February 2009). Patients were divided into “younger” (<2 years) and “older” (2–18 years) subgroups. Utilization included all cardiology visits, tests, and procedures.… More >