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  • Open Access

    ARTICLE

    Infrared and Visible Image Fusion Based on NSST and RDN

    Peizhou Yan1, Jiancheng Zou2,*, Zhengzheng Li1, Xin Yang3

    Intelligent Automation & Soft Computing, Vol.28, No.1, pp. 213-225, 2021, DOI:10.32604/iasc.2021.016201

    Abstract Within the application of driving assistance systems, the detection of driver’s facial features in the cab for a spectrum of luminosities is mission critical. One method that addresses this concern is infrared and visible image fusion. Its purpose is to generate an aggregate image which can granularly and systematically illustrate scene details in a range of lighting conditions. Our study introduces a novel approach to this method with marked improvements. We utilize non-subsampled shearlet transform (NSST) to obtain the low and high frequency sub-bands of infrared and visible imagery. For the low frequency sub-band fusion,… More >

  • Open Access

    ARTICLE

    Industrial Food Quality Analysis Using New k-Nearest-Neighbour methods

    Omar Fetitah1, Ibrahim M. Almanjahie2,3, Mohammed Kadi Attouch1,*, Salah Khardani4

    CMC-Computers, Materials & Continua, Vol.67, No.2, pp. 2681-2694, 2021, DOI:10.32604/cmc.2021.015469

    Abstract The problem of predicting continuous scalar outcomes from functional predictors has received high levels of interest in recent years in many fields, especially in the food industry. The k-nearest neighbor (k-NN) method of Near-Infrared Reflectance (NIR) analysis is practical, relatively easy to implement, and becoming one of the most popular methods for conducting food quality based on NIR data. The k-NN is often named k nearest neighbor classifier when it is used for classifying categorical variables, while it is called k-nearest neighbor regression when it is applied for predicting noncategorical variables. The objective of this paper is to… More >

  • Open Access

    ARTICLE

    Realization of IoT Integration System of LED Based on Particle Swarm Optimization

    Sung-Jung Hsiao1, Wen-Tsai Sung2,*

    Intelligent Automation & Soft Computing, Vol.27, No.2, pp. 499-517, 2021, DOI:10.32604/iasc.2021.014911

    Abstract The purpose of this research is to design an intelligent LED lighting control system with wireless remote control. Since the designed system is mainly based on Android applications, it controls wireless lighting modules through a sever by means of a smartphone, tablet computer, or another handheld mobile device, and the values displayed on the handheld device are used to monitor the establishment and design of the electricity state and multiple-LED light control scenarios in real time. The server is connected with a touch human-machine interface, digital meter, wireless lighting controller, infrared learning module, and other… More >

  • Open Access

    ARTICLE

    A Study on Using a Wireless Sensor Network to Design a Plant Monitoring System

    Sung-Jung Hsiao1, Wen-Tsai Sung2,*

    Intelligent Automation & Soft Computing, Vol.27, No.2, pp. 359-377, 2021, DOI:10.32604/iasc.2021.014905

    Abstract Traditional agriculture has to face different climatic factors, resulting in unstable crop yields, whereas a plant factory is indoors, thus avoiding different natural disasters and insect pests. It is also available for bulk production in all-weather all year-round, guaranteeing crop quality. This study uses a wireless sensor network (WSN) architecture for multi-monitoring of a plant environment, aiming to improve its growing environment quality. In terms of monitoring environment, the sensor modules at the end device nodes are combined with Arduino for capturing the sensor values, which are transmitted by wireless signal transmission. The data of… More >

  • Open Access

    ARTICLE

    Intelligent Fusion of Infrared and Visible Image Data Based on Convolutional Sparse Representation and Improved Pulse-Coupled Neural Network

    Jingming Xia1, Yi Lu1, Ling Tan2,*, Ping Jiang3

    CMC-Computers, Materials & Continua, Vol.67, No.1, pp. 613-624, 2021, DOI:10.32604/cmc.2021.013457

    Abstract Multi-source information can be obtained through the fusion of infrared images and visible light images, which have the characteristics of complementary information. However, the existing acquisition methods of fusion images have disadvantages such as blurred edges, low contrast, and loss of details. Based on convolution sparse representation and improved pulse-coupled neural network this paper proposes an image fusion algorithm that decompose the source images into high-frequency and low-frequency subbands by non-subsampled Shearlet Transform (NSST). Furthermore, the low-frequency subbands were fused by convolutional sparse representation (CSR), and the high-frequency subbands were fused by an improved pulse More >

  • Open Access

    ARTICLE

    Chinese Spirits Identification Model Based on Mid-Infrared Spectrum

    Wu Zeng1, Zhanxiong Huo1, *, 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 More >

  • Open Access

    ARTICLE

    Cerebral tissue oxygenation index and lactate at 24 hours postoperative predict survival and neurodevelopmental outcome after neonatal cardiac surgery

    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… More >

  • Open Access

    ARTICLE

    Driver Fatigue Detection System Based on Colored and Infrared Eye Features Fusion

    Yuyang Sun1, Peizhou Yan2, *, 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. More >

  • Open Access

    ARTICLE

    S100B and its relation to cerebral oxygenation in neonates and infants undergoing surgery for congenital heart disease

    Jan Hinnerk Hansen1, Lydia Kissner1, Jana Logoteta1, Olaf Jung1, Peter Dütschke2, Tim Attmann3, Jens Scheewe3, Hans‐Heiner Kramer1,4

    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… More >

  • Open Access

    ARTICLE

    Growth induction of root and tubercle in Caladium bicolor with organic fertilizer

    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… More >

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