Development of Polymethylmethacrylate Based Composite for Gas Sensing Application by S. Devikala, P. Kamaraj

“…The composite prepared by mixing carbon black with polymethylmethacrylate (PMMA) has very good gas sensing applications. The gas sensors based on carbon nanotube/polymer, ceramic and metal oxide composites such as epoxy, polyimide, PMMA / Barium titanate and tin oxide have also been developed. …”
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Research on the SDN-Based and Virtualized Mobile Control Network by Xiaojuan Hu, Yuan Zhang, Xu Xia, Huan Deng

“…The key challenges and problems of current mobile network were discussed, and a SDN-based mobile control network architecture was constructed to resolve the problem of processing big data produced by mobile international services. …”
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Flow-network based auto rescale strategy for Flink by Ziyang LI, Jiong YU, Chen BIAN, Yitian ZHANG, Yonglin PU, Yuefei WANG, Liang LU

“…In order to solve the problem that the load of big data stream computing platform is increasing with fluctuation while the cluster was not able to rescale efficiently,the Flow-network based auto rescale strategy for Flink was proposed.Firstly,the flow-network model was set up and the capacity of each edge that was calculated by self-learning algorithm.Secondly,the bottleneck of the cluster was acquired by maximum-flow algorithm and the resource rescheduling plan was drawn up.Finally,the resource rescheduling plan was executed and the stateful data was migrated efficiently by the data migration algorithm based on the strategy of data partitioning by bulk and bucket.The experimental results show that the strategy can effectively provide performance promotion in the application with complex stateful data.It improved the throughput of the cluster and reduced the time overhead of the data migration on the premise of satisfying the latency constrain of the application,which means that the strategy promotes the scalability of the cluster efficiently.…”
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Strains, Mechanism, and Perspective: Salmonella-Based Cancer Therapy by Cheng-Zhi Wang, Robert A. Kazmierczak, Abraham Eisenstark

“…Recently, investigation of bacterial-based tumor therapy has regained focus due to progress in molecular, cellular, and microbial biology. …”
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Phosphate Adsorption onto Chitosan-Based Hydrogel Microspheres by Jean-Francois Leduc, Roland Leduc, Hubert Cabana

“…The Langmuir, Freundlich and Dubinin–Radushkhevic (D–R) adsorption models were applied to describe the equilibrium isotherms, and the data correlated better with the Freundlich model (R 2 = 0.975). …”
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lntegration of European Universities - the basis for scientific and cultural development by Eugenija Ulčinaitė

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Recursive Neural Networks Based on PSO for Image Parsing by Guo-Rong Cai, Shui-Li Chen

“…State-of-the-art method such as traditional RNN-based parsing strategy uses L-BFGS over the complete data for learning the parameters. …”
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Routing optimization based on topology control in satellite network by Xiaogang QI, Jiulong MA, Lifang LIU

“…A new double-layer satellite network model for space networking was established and a routing algorithm based on topology control (TCRA) was proposed considering the advantages of low earth orbit and stationary earth orbit satellite networks.This model used virtual node strategy and satellite grouping idea,which regarded the coverage area of each low earth orbit satellite as a virtual node.The network took into account the influence of the polar area on the division of the satellite footprints,such that the upper management satellites can accurately acquire the topology of the lower satellites.Using the improved virtual node strategy,the time slices were superior to other network models in quantity,length and other aspects.Based on the network topology,stationary earth orbit satellites calculate routing for low earth orbit satellites,while low earth orbit satellites were responsible for forwarding data.The simulation results show that the routing algorithm is superior to other algorithms in average end-to-end delay and packet loss rate.…”
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Characterizing the omics landscape based on 10,000+ datasets by Eva Brombacher, Oliver Schilling, Clemens Kreutz

“…Abstract The characteristics of data produced by omics technologies are pivotal, as they critically influence the feasibility and effectiveness of computational methods applied in downstream analyses, such as data harmonization and differential abundance analyses. …”
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Real time interpolation algorithm based on Lanczos kernel by Ying GUO, Lun LI, Peng WANG

“…In order to improve the timeliness and reliability of color image scaling algorithms,a high effective real-time color image scaling algorithm was proposed,which first generated the kernel look up table that could be used for whole target image based on Lanczos kernel,and interpolation of all target image pixels had only fixed point operation which had low computational complexity.Meanwhile,an optimized method for rasterizing pixels of target image was proposed,which needed little memory space but embraced high efficiency of memory utilization.The experiment results show that the proposed algorithm achieves good image quality,and the computational complexity is far more less than classic image scaling algorithms.So the proposed algorithm can effectively implement real-time resizing of color images and color videos in any scaling factors.…”
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Study on Ankle Movement Model based on Fourier Series by Han Jikai, Luo Yufeng, Shi Zhixin, Xie Dongfu, Liu Zhenkun

“…The study of the lower limb ankle movement model of the human body provides an important theoretical basis for studying the characteristics of the ankle movement in healthy subjects during normal walking,and provides a reference model for the driving and control of the ankle joint of the exoskeleton.…”
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Identity-based incremental signature scheme from lattices by Miaomiao TIAN, Jing CHEN, Hong ZHONG

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Displacement Measurement Based on the Missing-Order Talbot Effect by Liuxing Song, Kailun Zhao, Xiaoyong Wang, Jinping He, Guoliang Tian, Shihua Yang, Yaning Li

“…Displacement measurement is a crucial application, with laser-based methods offering high precision and being well established in commercial settings. …”
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Radio signal recognition based on image deep learning by Xin ZHOU, Xiaoxin HE, Changwen ZHENG

“…A technical idea was innovatively proposed that uses image deep learning to solve the problem of radio signal recognition.First,the radio signal was transformed into a two-dimensional picture,and the radio signal recognition problem was transformed into the object detection problem in the field of image recognition.Then,the advanced achievements about image recognition were used to improve the intelligence and ability of radio signal recognition in complex electromagnetic environment.Based on the proposed idea,a novel radio signal recognition algorithm named RadioImageDet was proposed.The experimental results show that the algorithm can effectively identify the waveform types and time/frequency coordinates of radio signals.After training and testing on the self-collected data set with 12 types and 4 740 samples,the accuracy reaches 86.04% and the mAP value reaches 77.72,while the detection time is only 33 ms on the medium configured desktop computer.…”
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Indoor localization method based on CSI in complex environment by Xiaochao DANG, Xiong SI, Zhanjun HAO, Yaning HUANG, Yili HEI

“…Channel state information can provide more detailed sub-carrier information,which attracts the attention of researchers in indoor localization technology.In view of the shortcomings of the traditional indoor location method in the accuracy and stability of the complex indoor environment,an indoor localization method named ComLoc was proposed which could be applied to complex indoor environment,solved the influence of the multipath effect and noise interference on the positioning precision.The error of CSI signal was discussed,the sensitivity of CSI phase information to indoor environment was analyzed and the idea of trusted carrier link was proposed.By selecting reliable and stable link signal by phase difference,the misjudgment of position could be reduced.Based on many numerous experiments,the phase error of CSI was calibrated,and the characteristics of signal variation were extracted.The experimental results show that ComLoc is effective and efficient in the complex indoor environment.…”
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Challenges and Prospects ofValue-Based Healthcare in Brazil by Cassia Rita Pereira da Veiga, Yasmin Yohana Saliba, Luciana Faluba Damázio, César Luiz Lacerda Abicalaffe, Fabio Rocha, Thales Stevan Guedes Furquim, Claudimar Pereira da Veiga

“…This paper aims to conduct a systematic literature review (SLR) on value-based health care (VBHC) in Brazil, providing an overview of the state-of-the-art practice of an emerging and strategic topic for the country’s health system. …”
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Alcoholism and its Effects: an Approach Based on Health Psychology by Maria de las Mercedes Pretel Olite, Belkis González Aguiar, Anabel Machado Guevara, Odalis Fernández López, Yannelys Toledo Luaces

“…A literature review was conducted to establish the relationship between alcohol consumption and its harmful effects on health, family and society, using an approach based on Health Psychology.…”
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Deepfake swapped face detection based on double attention by Xiaojuan GONG, Tianqiang HUANG, Bin WENG, Feng YE, Chao XU, Lijun YOU

“…In view of the existing Deepfake detection algorithms, such problems as low accuracy and poor interpretability are common.A neural network model combining the double attention was proposed, which used channel attention to capture the abnormal features of false faces and combined the location of spatial attention to focus the abnormal features.To fully learn the contextual semantic information of the abnormal part of the false face, so as to improve the effectiveness and accuracy of face changing detection.In addition, the decision-making area of real and fake faces was shown effectively in the form of thermal diagram, which provided a certain degree of explanation for the face exchange detection model.Experiments on FaceForensics ++ open source data set show that the detection accuracy of proposed method is superior to MesoInception, Capsule-Forensics and XceptionNet.…”
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Predicting Geotechnical Investigation Using the Knowledge Based System by Bojan Žlender, Primož Jelušič

“…These optimal numbers are defined based on their minimum and maximum number and with the equivalent investigation ratio. …”
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Data-intensive service deployment based on edge computing by Yongmei GAO, Guanjie CHENG

“…In the edge computing environment, an optimized deployment strategy based on the negative selection algorithm was proposed to reduce the data transmission time in the service composition. …”
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