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https://www.readbyqxmd.com/read/29333480/gpu-based-branchless-distance-driven-projection-and-backprojection
#1
Rui Liu, Lin Fu, Bruno De Man, Hengyong Yu
Projection and backprojection operations are essential in a variety of image reconstruction and physical correction algorithms in CT. The distance-driven (DD) projection and backprojection are widely used for their highly sequential memory access pattern and low arithmetic cost. However, a typical DD implementation has an inner loop that adjusts the calculation depending on the relative position between voxel and detector cell boundaries. The irregularity of the branch behavior makes it inefficient to be implemented on massively parallel computing devices such as graphics processing units (GPUs)...
December 2017: IEEE Transactions on Computational Imaging
https://www.readbyqxmd.com/read/29329294/a-two-stage-flow-based-intrusion-detection-model-for-next-generation-networks
#2
Muhammad Fahad Umer, Muhammad Sher, Yaxin Bi
The next-generation network provides state-of-the-art access-independent services over converged mobile and fixed networks. Security in the converged network environment is a major challenge. Traditional packet and protocol-based intrusion detection techniques cannot be used in next-generation networks due to slow throughput, low accuracy and their inability to inspect encrypted payload. An alternative solution for protection of next-generation networks is to use network flow records for detection of malicious activity in the network traffic...
2018: PloS One
https://www.readbyqxmd.com/read/29329268/anomaly-detection-in-nanofibrous-materials-by-cnn-based-self-similarity
#3
Paolo Napoletano, Flavio Piccoli, Raimondo Schettini
Automatic detection and localization of anomalies in nanofibrous materials help to reduce the cost of the production process and the time of the post-production visual inspection process. Amongst all the monitoring methods, those exploiting Scanning Electron Microscope (SEM) imaging are the most effective. In this paper, we propose a region-based method for the detection and localization of anomalies in SEM images, based on Convolutional Neural Networks (CNNs) and self-similarity. The method evaluates the degree of abnormality of each subregion of an image under consideration by computing a CNN-based visual similarity with respect to a dictionary of anomaly-free subregions belonging to a training set...
January 12, 2018: Sensors
https://www.readbyqxmd.com/read/29324743/an-enhanced-artificial-bee-colony-algorithm-eabc-for-solving-dispatching-of-hydro-thermal-system-dhts-problem
#4
Yi Yu, Yonggang Wu, Binqi Hu, Xinglong Liu
The dispatching of hydro-thermal system is a nonlinear programming problem with multiple constraints and high dimensions and the solution techniques of the model have been a hotspot in research. Based on the advantage of that the artificial bee colony algorithm (ABC) can efficiently solve the high-dimensional problem, an improved artificial bee colony algorithm has been proposed to solve DHTS problem in this paper. The improvements of the proposed algorithm include two aspects. On one hand, local search can be guided in efficiency by the information of the global optimal solution and its gradient in each generation...
2018: PloS One
https://www.readbyqxmd.com/read/29324420/evaluation-of-hierarchical-watersheds
#5
Benjamin Perret, Jean Cousty, Silvio Jamil F Guimaraes, Deise S Maia
This paper aims to understand the practical features of hierarchies of morphological segmentations, namely the quasi-flat zones hierarchy and watershed hierarchies, and to evaluate their potential in the context of natural image analysis. We propose a novel evaluation framework for the hierarchies of partitions designed to capture various aspects of those representations: precision of their regions and contours, possibility to extract high quality horizontal cuts and optimal non-horizontal cuts for image segmentation, and the ease of finding a set of regions representing a semantic object...
April 2018: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/29324418/niqsv-a-no-reference-synthesized-view-quality-assessment-metric
#6
Shishun Tian, Lu Zhang, Luce Morin, Olivier Deforges
Benefiting from multi-view video plus depth and depth-image-based-rendering technologies, only limited views of a real 3-D scene need to be captured, compressed, and transmitted. However, the quality assessment of synthesized views is very challenging, since some new types of distortions, which are inherently different from the texture coding errors, are inevitably produced by view synthesis and depth map compression, and the corresponding original views (reference views) are usually not available. Thus the full-reference quality metrics cannot be used for synthesized views...
April 2018: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/29324417/robust-object-co-segmentation-using-background-prior
#7
Junwei Han, Rong Quan, Dingwen Zhang, Feiping Nie
Given a set of images that contain objects from a common category, object co-segmentation aims at automatically discovering and segmenting such common objects from each image. During the past few years, object co-segmentation has received great attention in the computer vision community. However, the existing approaches are usually designed with misleading assumptions, unscalable priors, or subjective computational models, which do not have sufficient robustness for dealing with complex and unconstrained real-world image contents...
April 2018: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/29324416/unsupervised-deep-hashing-with-pseudo-labels-for-scalable-image-retrieval
#8
Haofeng Zhang, Li Liu, Yang Long, Ling Shao
In order to achieve efficient similarity searching, hash functions are designed to encode images into low-dimensional binary codes with the constraint that similar features will have a short distance in the projected Hamming space. Recently, deep learning-based methods have become more popular, and outperform traditional non-deep methods. However, without label information, most state-of-the-art unsupervised deep hashing (DH) algorithms suffer from severe performance degradation for unsupervised scenarios. One of the main reasons is that the ad-hoc encoding process cannot properly capture the visual feature distribution...
April 2018: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/29324413/skeleton-based-human-action-recognition-with-global-context-aware-attention-lstm-networks
#9
Jun Liu, Gang Wang, Ling-Yu Duan, Kamila Abdiyeva, Alex C Kot
Human action recognition in 3D skeleton sequences has attracted a lot of research attention. Recently, long short-term memory (LSTM) networks have shown promising performance in this task due to their strengths in modeling the dependencies and dynamics in sequential data. As not all skeletal joints are informative for action recognition, and the irrelevant joints often bring noise which can degrade the performance, we need to pay more attention to the informative ones. However, the original LSTM network does not have explicit attention ability...
April 2018: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/29324412/implicit-negative-sub-categorization-and-sink-diversion-for-object-detection
#10
Yu Li, Sheng Tang, Min Lin, Yongdong Zhang, Jintao Li, Shuicheng Yan
In this paper, we focus on improving the proposal classification stage in the object detection task and present implicit negative sub-categorization and sink diversion to lift the performance by strengthening loss function in this stage. First, based on the observation that the "background" class is generally very diverse and thus challenging to be handled as a single indiscriminative class in existing state-of-the-art methods, we propose to divide the background category into multiple implicit sub-categories to explicitly differentiate diverse patterns within it...
April 2018: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/29324406/a-novel-multi-class-eeg-based-sleep-stage-classification-system
#11
Pejman Memar, Farhad Faradji
Sleep stage classification is one of the most critical steps in effective diagnosis and the treatment of sleep-related disorders. Visual inspection undertaken by sleep experts is a time-consuming and burdensome task. A computer-assisted sleep stage classification system is thus essential for both sleep-related disorders diagnosis and sleep monitoring. In this paper, we propose a system to classify the wake and sleep stages with high rates of sensitivity and specificity. The EEG signals of 25 subjects with suspected sleep-disordered breathing, and the EEG signals of 20 healthy subjects from three data sets are used...
January 2018: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/29323881/markov-state-models-from-an-art-to-a-science
#12
Brooke E Husic, Vijay S Pande
Markov state models (MSMs) are a powerful framework for analyzing dynamical systems, such as molecular dynamics (MD) simulations, that have gained widespread use over the past several decades. This review offers a complete picture of the MSM field to date, presented for a general audience as a timeline of key developments in the field. We sequentially address early studies that motivated the method, canonical papers that established the use of MSMs for MD analysis, and subsequent advances in software and analysis protocols...
January 11, 2018: Journal of the American Chemical Society
https://www.readbyqxmd.com/read/29322913/cell-type-discovery-and-representation-in-the-era-of-high-content-single-cell-phenotyping
#13
Trygve Bakken, Lindsay Cowell, Brian D Aevermann, Mark Novotny, Rebecca Hodge, Jeremy A Miller, Alexandra Lee, Ivan Chang, Jamison McCorrison, Bali Pulendran, Yu Qian, Nicholas J Schork, Roger S Lasken, Ed S Lein, Richard H Scheuermann
BACKGROUND: A fundamental characteristic of multicellular organisms is the specialization of functional cell types through the process of differentiation. These specialized cell types not only characterize the normal functioning of different organs and tissues, they can also be used as cellular biomarkers of a variety of different disease states and therapeutic/vaccine responses. In order to serve as a reference for cell type representation, the Cell Ontology has been developed to provide a standard nomenclature of defined cell types for comparative analysis and biomarker discovery...
December 21, 2017: BMC Bioinformatics
https://www.readbyqxmd.com/read/29322351/from-pacemaker-to-wearable-techniques-for-ecg-detection-systems
#14
REVIEW
Ashish Kumar, Rama Komaragiri, Manjeet Kumar
With the alarming rise in the deaths due to cardiovascular diseases (CVD), present medical research scenario places notable importance on techniques and methods to detect CVDs. As adduced by world health organization, technological proceeds in the field of cardiac function assessment have become the nucleus and heart of all leading research studies in CVDs in which electrocardiogram (ECG) analysis is the most functional and convenient tool used to test the range of heart-related irregularities. Most of the approaches present in the literature of ECG signal analysis consider noise removal, rhythm-based analysis, and heartbeat detection to improve the performance of a cardiac pacemaker...
January 11, 2018: Journal of Medical Systems
https://www.readbyqxmd.com/read/29321646/continuous-wave-y-band-planar-bwo-with-wide-tunable-bandwidth
#15
Hongzhu Xi, Jianguo Wang, Zhaochang He, Gang Zhu, Yue Wang, Hao Wang, Zaigao Chen, Rong Li, Luwei Liu
A high performance continuous-wave (CW) backward wave oscillator (BWO) with planar slow wave structure (SWS) and sheet electron beam in Y-band is presented in this paper. The mode selection is discussed by studying the dispersion curve of SWSs, distributions of the electric field, and particle-in-cell simulation results, showing that the designed BWO operates in the fundamental mode TM11. The planar SWSs are fabricated by using the UV-LIGA technology with the processing error less than 0.003 mm. The electron gun can provide the 2...
January 10, 2018: Scientific Reports
https://www.readbyqxmd.com/read/29316693/use-of-savitzky-golay-filter-for-performances-improvement-of-shm-systems-based-on-neural-networks-and-distributed-pzt-sensors
#16
Mario A de Oliveira, Nelcileno V S Araujo, Rodolfo N da Silva, Tony I da Silva, Jayantha Epaarachchi
A considerable amount of research has focused on monitoring structural damage using Structural Health Monitoring (SHM) technologies, which has had recent advances. However, it is important to note the challenges and unresolved problems that disqualify currently developed monitoring systems. One of the frontline SHM technologies, the Electromechanical Impedance (EMI) technique, has shown its potential to overcome remaining problems and challenges. Unfortunately, the recently developed neural network algorithms have not shown significant improvements in the accuracy of rate and the required processing time...
January 8, 2018: Sensors
https://www.readbyqxmd.com/read/29316670/integrated-giant-magnetoresistance-technology-for-approachable-weak-biomagnetic-signal-detections
#17
REVIEW
Hui-Min Shen, Liang Hu, Xin Fu
With the extensive applications of biomagnetic signals derived from active biological tissue in both clinical diagnoses and human-computer-interaction, there is an increasing need for approachable weak biomagnetic sensing technology. The inherent merits of giant magnetoresistance (GMR) and its high integration with multiple technologies makes it possible to detect weak biomagnetic signals with micron-sized, non-cooled and low-cost sensors, considering that the magnetic field intensity attenuates rapidly with distance...
January 7, 2018: Sensors
https://www.readbyqxmd.com/read/29313148/rapid-prototyping-prosthetic-hand-acting-by-a-low-cost-shape-memory-alloy-actuator
#18
Enrique Soriano-Heras, Fernando Blaya-Haro, Carlos Molino, José María de Agustín Del Burgo
The purpose of this article is to develop a new concept of modular and operative prosthetic hand based on rapid prototyping and a novel shape-memory-alloy (SMA) actuator, thus minimizing the manufacturing costs. An underactuated mechanism was needed for the design of the prosthesis to use only one input source. Taking into account the state of the art, an underactuated mechanism prosthetic hand was chosen so as to implement the modifications required for including the external SMA actuator. A modular design of a new prosthesis was developed which incorporated a novel SMA actuator for the index finger movement...
January 8, 2018: Journal of Artificial Organs: the Official Journal of the Japanese Society for Artificial Organs
https://www.readbyqxmd.com/read/29305790/patient-specific-estimation-of-detailed-cochlear-shape-from-clinical-ct-images
#19
H Martin Kjer, Jens Fagertun, Wilhelm Wimmer, Nicolas Gerber, Sergio Vera, Livia Barazzetti, Nerea Mangado, Mario Ceresa, Gemma Piella, Thomas Stark, Martin Stauber, Mauricio Reyes, Stefan Weber, Marco Caversaccio, Miguel Ángel González Ballester, Rasmus R Paulsen
PURPOSE: A personalized estimation of the cochlear shape can be used to create computational anatomical models to aid cochlear implant (CI) surgery and CI audio processor programming ultimately resulting in improved hearing restoration. The purpose of this work is to develop and test a method for estimation of the detailed patient-specific cochlear shape from CT images. METHODS: From a collection of temporal bone [Formula: see text]CT images, we build a cochlear statistical deformation model (SDM), which is a description of how a human cochlea deforms to represent the observed anatomical variability...
January 6, 2018: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/29304024/inorganic-membranes-preparation-and-application-for-water-treatment-and-desalination
#20
REVIEW
Ahmad Kayvani Fard, Gordon McKay, Anita Buekenhoudt, Huda Al Sulaiti, Filip Motmans, Marwan Khraisheh, Muataz Atieh
Inorganic membrane science and technology is an attractive field of membrane separation technology, which has been dominated by polymer membranes. Recently, the inorganic membrane has been undergoing rapid development and innovation. Inorganic membranes have the advantage of resisting harsh chemical cleaning, high temperature and wear resistance, high chemical stability, long lifetime, and autoclavable. All of these outstanding properties made inorganic membranes good candidates to be used for water treatment and desalination applications...
January 5, 2018: Materials
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