Article
Physics, Applied
Dongchao Wang, Minle Liao, Ye Wang, Guohuai Liu, Zhaodong Wang
Summary: By simulation and verification experiments, the process parameters were optimized to reduce the tendency of significant shrinkage porosity in the centrifugal cast ring parts of K417 nickel-based superalloy. The centrifuge speed and mold preheating temperature have the greatest influence on the shrinkage porosity ratio, while the pouring temperature and pouring speed have relatively small effects. The optimized parameters effectively reduce the formation of shrinkage porosity in the K417 centrifugal casting rings.
MODERN PHYSICS LETTERS B
(2022)
Article
Computer Science, Artificial Intelligence
Xiuli Chai, Shiping Song, Zhihua Gan, Guoqiang Long, Ye Tian, Xin He
Summary: The rapid development of wireless communication technology has provided great convenience for information transmission. Color images, as an important medium for data dissemination and sharing, face security and efficiency issues. Therefore, a deep image compressed sensing encryption network is proposed using multi-color space and texture features. This network achieves high visual performance by utilizing multiple color spaces and extracting texture details, and it has a higher scrambling degree and the ability to extract texture features.
EXPERT SYSTEMS WITH APPLICATIONS
(2024)
Article
Engineering, Chemical
Antai Chang, Xia Zheng, Hongwei Xiao, Xuedong Yao, Decheng Liu, Xiangyu Li, Yican Li
Summary: The present study aims to investigate the drying kinetics and obtain the optimum process parameters of cantaloupe slices using short-and medium-wave infrared radiation (SMIR) drying technology. The results showed that infrared radiation temperature and slice thickness had significant effects on the L value and color difference (△E), while hardness and vitamin C content were significantly affected by infrared radiation temperature, slice thickness, and radiation distance. The optimum drying parameters were determined to maximize vitamin C content and L value, and minimize △E and hardness value. The experimental values under the optimum drying conditions were in accordance with the expected values. This study is of great importance for the development of the cantaloupe food processing industry and the application of SMIR drying technology to improve drying rate and product quality.
Article
Construction & Building Technology
Mude Hanumananaik, Kolluru V. L. Subramaniam
Summary: This study examines the influence of process variables, such as curing temperature and relative humidity (RH), on the shrinkage of alkali-activated fly ash (AAF). Analysis shows that the strength and pore structure formed in the AAF are dependent on the sodium alumino-silicate (N-A-S-H) gel content, which is sensitive to moisture availability. Reduction in temperature and RH after initial accelerated curing has a beneficial effect on reducing shrinkage compared to drying at a higher temperature. The shrinkage in AAF is significantly lower than a comparable cement paste, and is primarily influenced by the pore structure formed and the N-A-S-H content.
JOURNAL OF MATERIALS IN CIVIL ENGINEERING
(2023)
Article
Multidisciplinary Sciences
Saritha Balasubramaniyan, Vijay Jeyakumar, Deepa Subramaniam Nachimuthu
Summary: In this research study, a Traditional Chinese Medicine based diabetes diagnosis is presented using panoramic tongue images. The feature extraction is done by Convolutional Neural Network (CNN)-ResNet 50 architecture, and the classification is performed by the proposed Deep Radial Basis Function Neural Network (RBFNN) algorithm based on auto encoder learning mechanism. The proposed model outperformed existing models in terms of classification performance, proving its effectiveness.
SCIENTIFIC REPORTS
(2022)
Article
Computer Science, Artificial Intelligence
Alice Porebski, Mohamed Alimoussa, Nicolas Vandenbroucke
Summary: This study explores texture analysis methods based on color and hyperspectral imaging and compares the applications of multi spectral band (MSB) and multi color channel (MCC) representations in texture classification. Experimental results show that considering interactions between components significantly improves the classification accuracy and the proposed approaches outperform state-of-the-art hand-designed and deep learning-based texture descriptors.
PATTERN RECOGNITION LETTERS
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Jun Lang, Kaixuan Gang, Changchun Zhang
Summary: The paper introduces an adjustable shrinkage-thresholding projection algorithm (ASTP) for compressed sensing magnetic resonance imaging (CS-MRI) reconstruction, which can improve accuracy, convergence speed, and noise suppression ability.
MAGNETIC RESONANCE IMAGING
(2022)
Article
Engineering, Electrical & Electronic
Zhonghua Hong, Changyou Xu, Xiaohua Tong, Shijie Liu, Ruyan Zhou, Haiyan Pan, Yun Zhang, Yanling Han, Jing Wang, Shuhu Yang
Summary: This paper proposes a method that can optimize the luminance, contrast, and color difference of remote-sensing images. By processing the chrominance and luminance channels of the image in the YCbCr color space, it reduces the influence of different channels. The proposed method has been tested on challenging datasets and shows better results than state-of-the-art approaches in terms of visuals and quality indicators.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2023)
Article
Engineering, Chemical
Harsimar Singh, Hosahalli S. S. Ramaswamy
Summary: The objective of this study was to compare the quality of low-acid vegetables conventionally thermal processed with those subjected to modified thermal processing following acidification to pH < 4.6. The acidified thermal processing yielded significantly better retained color and textural properties, almost similar to blanched vegetables, while those subjected to the conventional processing resulted in significant texture loss. The acidified thermal process provided significant energy saving opportunities and had a positive potential for quality retention, energy savings, and process efficiency.
Article
Food Science & Technology
Linlin Li, Xing Ren, Junliang Chen, Weiwei Cao, Guangyue Ren, Bhesh Bhandari, Aiqing Ren, Xu Duan
Summary: This study investigated the changes in viscoelastic properties and physical qualities of Chinese yams during multiphase microwave drying (MMD) and analyzed their intrinsic relationship. The results showed that the rehydration ratio (RR), volume ratio (Vr), and porosity increased and then decreased with drying time during MMD. The highest microwave power in sublimation drying resulted in the lowest RR, Vr, and porosity but the highest hardness. The Maxwell model successfully described the viscoelastic behaviors of yams. The enhanced stress relaxation behavior was observed during sublimation drying. Pearson's correlation analysis showed significant relationships between relaxation modulus and RR, porosity, hardness, and brittleness. Principal component regression models explained the relationships between the viscoelastic indexes and physical features well.
LWT-FOOD SCIENCE AND TECHNOLOGY
(2022)
Article
Chemistry, Analytical
Claudio Cusano, Paolo Napoletano, Raimondo Schettini
Summary: This paper presents a large, heterogeneous database T1K+ containing 1129 classes of high-quality texture images, and evaluates handcrafted and learned visual descriptors in supervised texture classification tasks.
Article
Chemistry, Multidisciplinary
An-Ju Hsueh, Nurul Asyikeen Ab Mutalib, Yusuke Shirato, Hiroaki Suzuki
Summary: Bipolar electrodes with arrays of cathodic and anodic poles were developed for use in closed bipolar systems. The sensitivity and linear range of the device could be adjusted by changing the driving voltage and the area ratio between the cathodic and anodic poles. The device was capable of sensing and imaging H2O2 as well as detecting DNA.
Article
Materials Science, Multidisciplinary
Lang Liu, Rui Guan, Cheng Ji, Miaoyong Zhu
Summary: This paper proposes a new microscale microsegregation evaluation method based on the concept of degree centrality in network science, and investigates the impact of different holding times and temperatures on the porosity microsegregation in continuous casting bloom for heavy rail steel. The results show that the holding temperature has the greatest influence on element diffusion, and when the size of the shrinkage cavity is greater than 400 μm, the optimal holding temperature is 1250 °C, and the optimal holding time is 90 min. The new diffusion kinetic model of porosity microsegregation has high accuracy under the optimal conditions of the heating process.
METALLURGICAL AND MATERIALS TRANSACTIONS B-PROCESS METALLURGY AND MATERIALS PROCESSING SCIENCE
(2022)
Article
Engineering, Chemical
Xiaohui Lin, Da-Wen Sun
Summary: A hyperspectral imaging system was used to develop a general model for monitoring moisture distribution of four types of vegetables undergoing microwave-vacuum drying. Different drying patterns were observed among the vegetables, with corner effects occurring in celery stalks and spinach leaves. Color evaluation using a computer vision system showed varying changes in different vegetables after drying.
Article
Metallurgy & Metallurgical Engineering
Seungcheol Lee, Dosuck Han, Sungha Kang, Naksoo Kim
Summary: Shrinkage porosity is a common defect in high-pressure die-casting (HPDC), caused by the solidification and subsequent shrinkage of the metal. This study investigates the effects of process parameters and part geometry on shrinkage defects in HPDC. By examining different casting models under various casting conditions, we identify the influence of molten metal injection temperature and injection speed, as well as the predominant role of casting geometry. Prediction and verification of shrinkage defects are performed using secondary dendrite arm spacing and the Niyama criteria, with a clear correlation between processing parameters and shrinkage in a specific geometry established.
INTERNATIONAL JOURNAL OF METALCASTING
(2023)
Article
Engineering, Chemical
Alex Martynenko, Tadeusz Kudra
Article
Engineering, Chemical
Tadeusz Kudra, Alex Martynenko
Article
Engineering, Chemical
Alex Martynenko, Ivanna Bashkir, Tadeusz Kudra
Summary: The study found that decreasing air relative humidity or introducing forced air flow significantly improved the efficiency of EHD drying, while increasing emitters' density or material thickness had a negative impact on drying rate. In contrast to thermal drying, the effect of EHD on color was insignificant.
Article
Engineering, Chemical
Alex Martynenko, N. N. Misra
Article
Engineering, Chemical
Sai Kiran Reddy Challa, N. N. Misra, Alex Martynenko
Summary: This review discusses the practices and challenges in cannabis drying, as well as recent developments and some potential low temperature drying technologies of significance to the cannabis industry. Various technologies such as non-isothermal drying, microwave-vacuum drying, electrohydrodynamic drying, radio-frequency drying, and freeze drying are identified as potential candidates for industrial drying of cannabis.
Article
Engineering, Chemical
Alex Martynenko, Tess Astatkie, Thijs Defraeye
JOURNAL OF FOOD ENGINEERING
(2020)
Article
Food Science & Technology
Seyed-Hassan Miraei Ashtiani, Mahta Rafiee, Mina Mohebi Morad, Mehdi Khojastehpour, Mohammad Reza Khani, Abbas Rohani, Babak Shokri, Alex Martynenko
INNOVATIVE FOOD SCIENCE & EMERGING TECHNOLOGIES
(2020)
Review
Food Science & Technology
Ivanna Bashkir, Thijs Defraeye, Tadeusz Kudra, Alex Martynenko
FOOD ENGINEERING REVIEWS
(2020)
Biographical-Item
Engineering, Chemical
Alex Martynenko
Article
Thermodynamics
Kamran Iranshahi, Alex Martynenko, Thijs Defraeye
Review
Engineering, Chemical
Soleiman Hosseinpour, Alex Martynenko
Summary: This article presents a comprehensive review of almost all existing applications of fuzzy logic in drying technology, covering nonlinear modeling, simulation, pattern recognition, clustering, classification, control, and optimization. The literature is categorized into three main streams: modeling, clustering/classification, and control. The benefits and shortcomings of fuzzy logic applications are systematically reviewed. Finally, a roadmap for future studies based on the current state and significant unexplored potential of fuzzy logic in drying technology is proposed.
Article
Engineering, Chemical
Anjaly Paul, Alex Martynenko
Summary: Electrohydrodynamic (EHD) drying is a novel nonthermal technique using cold plasma to dehydrate heat-sensitive foods, with minimal impact on food quality and high energy efficiency. This review provides a comprehensive overview of the physicochemical, nutritional, and sensory properties of EHD-dried foods, emphasizing the need for further research on the interaction between cold plasma and food.
Article
Entomology
Shima Javanmardi, Seyed-Hassan Miraei Ashtiani, Fons J. Verbeek, Alex Martynenko
Summary: Automated classification of seed varieties using a deep convolutional neural network as a feature extractor and artificial neural network as a classifier achieves high accuracy. The CNN-ANN classifier outperforms other models in classifying corn seed varieties.
JOURNAL OF STORED PRODUCTS RESEARCH
(2021)
Article
Engineering, Chemical
Ivanna Bashkir, Alex Martynenko
Summary: The research on EHD drying focused on designing multiple-emitter discharge electrodes by optimizing emitter type and arrangement, with emitters made of construction nails and thin pins showing the best performance. Evaluating drying efficiency through drying rate and specific energy consumption (SEC), the nail electrode with a square arrangement demonstrated the highest efficiency. Increasing electric field strength or gap between electrodes led to higher drying rates and SEC, while the chess arrangement reduced drying rate without affecting SEC.
JOURNAL OF FOOD ENGINEERING
(2021)
Article
Food Science & Technology
Anjaly Paul, Alex Martynenko
Summary: Electrohydrodynamic drying is a new non-thermal technique for dehydrating heat-sensitive foods. The intensity of EHD drying is affected by humidity, slice thickness, and load density, with minimal impact on product quality. Compared to hot air drying, EHD drying has lower energy consumption.