Wu Zeng¹, Zhanxiong Huo^{1, *}, Yuxuan Xie², Yingxiang Jiang¹, Kun Hu¹

CMC-Computers, Materials & Continua, Vol.64, No.3, pp. 1869-1883, 2020, DOI:10.32604/cmc.2020.010139

Abstract Applying computer technology to the field of food safety, and how to identify liquor quickly and accurately, is of vital importance and has become a research focus. In this paper, sparse principal component analysis (SPCA) was applied to seek sparse factors of the mid-infrared (MIR) spectra of five famous vintage year Chinese spirits. The results showed while meeting the maximum explained variance, 23 sparse principal components (PCs) were selected as features in a support vector machine (SVM) model, which obtained a 97% classification accuracy. By comparison principal component analysis (PCA) selected 10 PCs as features but only achieved an 83%… More >

Safwat A. Aly¹, David Zurakowski², Penny Glass³, Kami Skurow-Todd⁴, Richard A. Jonas⁵, Mary T. Donofrio⁴

Congenital Heart Disease, Vol.12, No.2, pp. 188-195, 2017, DOI:10.1111/chd.12426

Abstract Importance: There are no well-established noninvasive biomarkers for identifying patients at risk for poor outcome after surgery for congenital heart disease. Few studies have assessed prognostic accuracy of cerebral tissue oxygenation index (cTOI) measured by near infrared spectroscopy (NIRS).
Objective: To assess the utility of noninvasive NIRS monitoring as a predictor of outcomes after neonatal cardiac surgery through measurement of cTOI. To examine the utility of noninvasive NIRS monitoring in combination with lactate concentration and inotropic score in prediction of outcomes after neonatal cardiac surgery.
Design: Prospective longitudinal cohort study.
Setting: Operating room and cardiac intensive care unit, Children’s National… More >

Yuyang Sun¹, Peizhou Yan^{2, *}, Zhengzheng Li², Jiancheng Zou³, Don Hong⁴

CMC-Computers, Materials & Continua, Vol.63, No.3, pp. 1563-1574, 2020, DOI:10.32604/cmc.2020.09763

Abstract Real-time detection of driver fatigue status is of great significance for road traffic safety. In this paper, a proposed novel driver fatigue detection method is able to detect the driver’s fatigue status around the clock. The driver’s face images were captured by a camera with a colored lens and an infrared lens mounted above the dashboard. The landmarks of the driver’s face were labeled and the eye-area wassegmented. By calculating the aspect ratios of the eyes, the duration of eye closure, frequency of blinks and PERCLOS of both colored and infrared, fatigue can be detected. Based on the change of… More >

Jan Hinnerk Hansen¹, Lydia Kissner¹, Jana Logoteta¹, Olaf Jung¹, Peter Dütschke², Tim Attmann³, Jens Scheewe³, Hans‐Heiner Kramer^1,4

Congenital Heart Disease, Vol.14, No.3, pp. 427-437, 2019, DOI:10.1111/chd.12741

Abstract Objectives: Neonates and infants undergoing surgery for congenital heart disease are at risk for developmental impairment. Hypoxic‐ischemic brain injury might be one contributing factor. We aimed to investigate the perioperative release of the astro‐ cyte protein S100B and its relation to cerebral oxygenation.
Methods: Serum S100B was measured before and 0, 12, 24, and 48 hours after sur‐ gery. Cerebral oxygen saturation was derived by near‐infrared spectroscopy. S100B reference values based on preoperative samples; concentrations above the 75th per‐ centile were defined as elevated. Patients with elevated S100B at 24 or 48 hours were compared to cases with S100B in… More >

González-Cervantes G¹, JA Chávez-Simental², IA Ortiz-Sánchez³, LM Valenzuela-Núñez⁴, MA Macías-Corral⁵, JG Arreola-Avila⁶

Phyton-International Journal of Experimental Botany, Vol.86, pp. 40-45, 2017, DOI:10.32604/phyton.2017.86.040

Abstract The introduction of ornamental crops to the Comarca Lagunera is a great market opportunity for producers of flowers, just as it is the case of Caladium bicolor which is exported to Europe, USA, Caribbean islands and Africa. The use of organic products derived from cattle manure for fertilization, improves physical soil conditions and provides significant amount of nutrients to plants and reduce production costs. Therefore, the objective of this study was to quantify the growth of tubercle and root of the ornamental plant Caladium bicolor by applying organic fertilizer (OF) extracted from cattle manure. The experimental design was completely randomized… More >

G. Pitarresi¹

Structural Durability & Health Monitoring, Vol.8, No.2, pp. 149-176, 2012, DOI:10.3970/sdhm.2012.008.149

Abstract The present work describes the implementation of active IR Thermography techniques for the NDT of thick polymer and glass-fibre reinforced polymer (GRP) composite panels. A low cost Thermal NDT set-up is proposed, comprising a single-detector IR camera with low thermal resolution and low frame rate, and common low-power halogen lamps as external heat source devices. The use of halogen lamps in particular requires several seconds of switch-on time in order to deliver meaningful and effective heat quantities. The influence of such long heat deposition intervals is investigated on the possibility to implement Transient Thermography and Lock-In Thermography techniques. Regarding the… More >

Young-Sook Roh¹, Lan Chung², Seung-Ho Cho², Se-Hyun Yoon², Jung-Tae Noh

The International Conference on Computational & Experimental Engineering and Sciences, Vol.8, No.4, pp. 157-164, 2008, DOI:10.3970/icces.2008.008.157

Abstract The purpose of this research is to develop a new technique to measure the corrosion level of reinforcing rebar which embedded in reinforced concrete structures using infrared(IR) thermographical image. IR thermography has been used various applications for non-destructive test(NDT) area, however, IR thermographical data depend on many parameters that the assessment of reliability and stability becomes very important issue to utilize IR thermographical system. This study presents a technique to quantitatively measure the corrosion level of a reinforcing bar using proposed infrared thermography measurement system. We found out electric heating method has an important effect on active IR thermography at… More >

Biao Wang^1,*, Yongjian Yang¹, Hesong Huang¹

CMES-Computer Modeling in Engineering & Sciences, Vol.118, No.3, pp. 649-678, 2019, DOI:10.31614/cmes.2019.05671

Abstract To calculate the diffusion law of chaff cloud launched by aircraft, taking rectangular chaff as an example, the diffusion model of chaff cloud is established in this paper. Firstly, the coordinate systems of chaff are defined and the motion model of chaff is established. The motion model mainly includes chaff motion equation and rotation equation, which are obtained by combining the aerodynamic moment and aerodynamic damping. Then, the influence of multi-chaff aerodynamic interference on the movement of chaff is analyzed. Finally, considering the influence of overlap area between chaffs and chaff spacing on the aerodynamic coefficients, the multi-chaff motion model… More >

Shenbo Li^1,*, Qi Tong¹, Chaozhe Wang¹

CMES-Computer Modeling in Engineering & Sciences, Vol.118, No.2, pp. 425-446, 2019, DOI:10.31614/cmes.2019.03936

Abstract As the platform for surface-source infrared decoys, the target aircraft is the aim of attacks in air-to-air combat. It can quickly and accurately evaluate the jamming effectiveness of the surface-source IR decoy in various states of motion is important for enhancing the security of the aircraft. This paper proposes a model of surface-source IR decoy, and compares and analyzes simulated and measured infrared images of diffusion. A system to assess the effectiveness of the jamming of the surface-source IR decoy, target aircraft, and infrared guided missile called “Trinity” is established. Simulations were conducted to assess the impact of flight height,… More >

Liming Yang^1,2, Junjian Bai¹, Qun Sun³

CMES-Computer Modeling in Engineering & Sciences, Vol.108, No.1, pp. 49-65, 2015, DOI:10.3970/cmes.2015.108.049

Abstract Extreme learning machine (ELM) has demonstrated great potential in machine learning and data mining fields owing to its simplicity, rapidity and good generalization performance. In this work, a general framework for ELM regression is first investigated based on least absolute deviation (LAD) estimation (called LADELM), and then we develop two regularized LADELM formulations with the l₂-norm and l₁-norm regularization, respectively. Moreover, the proposed models are posed as simple linear programming or quadratic programming problems. Furthermore, the proposed models are used directly to analyze the hard rate of licorice seeds using near-infrared spectroscopy data. Experimental results on eight different spectral regions… More >