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Efficient slicing procedure based on adaptive layer depth normal image

Long Zeng, Lip Man-Lip Lai, Di Qi, Yuen-Hoo Lai, Matthew Ming-Fai Yuen
2011 Computer-Aided Design  
Based on adaptive Layer Depth Normal Image (LDNI), this paper proposes an efficient algorithm to achieve this compromise for complex Constructive Solid Geometry (CSG) models.  ...  Abstract: In layered modeling for rapid prototyping of products, compromising slicing accuracy and time is a critical issue.  ...  Acknowledgement The jewelry models of Fig.1, Fig.2, Fig.11, Fig.13 , and Fig.14 are exported from the database of JewelCADPro software.  ... 
doi:10.1016/j.cad.2011.06.007 fatcat:2bodiisigzbwfcx2yadqlda2im


Yaroslav Garashchenko
2022 Cutting & Tools in Technological System  
This approach allowed to perform a comparative analysis of the results depending on the design features of products.  ...  Research results of possibilities of packing a group of 3D-models of products in a layered build space using a genetic algorithm are presented.  ...  The main problem is that existing works have not created a methodological basis for a comparative analysis of the effectiveness of algorithms for placing a group of 3D models, taking into account geometric  ... 
doi:10.20998/2078-7405.2022.96.02 fatcat:xttzuglxongdnhgogv4iyf6cxm

Accelerating Feature Based Registration Using the Johnson-Lindenstrauss Lemma [chapter]

Ayelet Akselrod-Ballin, Davi Bock, R. Clay Reid, Simon K. Warfield
2009 Lecture Notes in Computer Science  
Our experiments demonstrate that our algorithm enables alignment of TEM images with increased accuracy and efficiency compared to previous algorithms.  ...  We introduce an efficient search strategy to substantially accelerate feature based registration.  ...  Given a pair of successive slices, a fixed (scene) and moving (model) image: Step 1: JL dimension reduction of features: State of the art feature matching approaches to registration commonly perform feature  ... 
doi:10.1007/978-3-642-04268-3_78 fatcat:3ow5ygeolfauldoyw5a43xmaxm

An Efficient Crossing-Line Crowd Counting Algorithm with Two-Stage Detection

Zhenqiu Xiao, Bin Yang, Desy Tjahjadi
2019 Computers Materials & Continua  
Only ten low level features are extracted from the input image to establish a feature vector. As a result, our algorithm is more efficient and accurate than existing methods.  ...  Moreover, a novel algorithm is proposed to determine the moving directions of pedestrians by comparing the centers of them in two temporal slice images.  ...  Acknowledgments: This research is partly supported by National Science Foundation, China (Nos. 51505191, U1536206, 61602253); the Fundamental Research Funds for the Central Universities (Nos.  ... 
doi:10.32604/cmc.2019.05638 fatcat:hl7ydz5rtbe57imdllnscoclk4

Motion Trajectory Aggregation Model of Playing Field Based on Spatial Temporal Features

2016 Revista Técnica de la Facultad de Ingeniería Universidad del Zulia  
It is difficult for the existing research method to conduct mining on the specific aggregation model accurately and highly efficiently.  ...  method of Spatial clustering algorithm (SPC), so as to obtain the playing field motion trajectory clustering; Then, by the application of the spatial temporal feature model to replace the method of separate  ...  set, and compared with the existing playing field athlete trajectory aggregation model mining algorithm.  ... 
doi:10.21311/ fatcat:xfs7gkl5r5bbnfbh5uuq4tyr4u

Energy slices: benchmarking with time slicing

Katarina Grolinger, Hany F. ElYamany, Wilson A. Higashino, Miriam A. M. Capretz, Luke Seewald
2017 Energy Efficiency  
Statistical approaches evaluate building energy efficiency by comparing measured energy consumption to other similar buildings typically using annual measurements.  ...  Consequently, this paper proposes Energy Slices, an energy benchmarking approach with time slicing for existing buildings.  ...  They also would like to thank Budweiser Gardens and GM Centre for providing valuable data for this project.  ... 
doi:10.1007/s12053-017-9582-8 fatcat:42jnuvdl65d3djxso3vycgfdkq

Machine Learning-Based Network Sub-Slicing Framework in a Sustainable 5G Environment

Sushil Kumar Singh, Mikail Mohammed Salim, Jeonghun Cha, Yi Pan, Jong Hyuk Park
2020 Sustainability  
We identify different connected device application requirements through feature selection using the Support Vector Machine (SVM) algorithm.  ...  The K-means algorithm is used to create clusters of sub-slices for the similar grouping of types of application services such as application-based, platform-based, and infrastructure-based services.  ...  The SVM algorithm is used for feature selection [27] , whereas the K-means algorithm is appropriate for the The network sub-slicing concept divides the parent network slice to improve the load balancing  ... 
doi:10.3390/su12156250 fatcat:pqqj5qymizbsnb6i6msym5ngl4

Detection and Attention: Diagnosing Pulmonary Lung Cancer from CT by Imitating Physicians [article]

Ning Li, Haopeng Liu, Bin Qiu, Wei Guo, Shijun Zhao, Kungang Li, Jie He
2017 arXiv   pre-print
This paper proposes a novel and efficient method to build a Computer-Aided Diagnoses (CAD) system for lung nodule detection based on Computed Tomography (CT).  ...  Unlike previous work which used 3-dimensional information around the nodule to reduce false positives, we propose two simple but efficient methods, Multi-slice propagation (MSP) and Motionless-guide suppression  ...  The authors would like to thank the LUNA16 challenge organizers for providing the dataset and evaluating our results.  ... 
arXiv:1712.05114v1 fatcat:c2t646zyxjggrg77xd36qxzhte

Crowd Anomaly Detection for Automated Video Surveillance

Jing Wang, Zhijie Xu
2015 6th International Conference on Imaging for Crime Prevention and Detection (ICDP-15)  
Based on the spatio-temporal video volume concept, an innovative spatio-temporal texture model has been proposed in this research for its rich crowd pattern characteristics.  ...  Through extracting and integrating those crowd textures from surveillance recordings, a redundancy wavelet transformation-based feature space can be deployed for behavioural template matching.  ...  System efficiency test The designed feature extraction and decision making algorithm is an effective solution for anomaly crowd detection.  ... 
doi:10.1049/ic.2015.0102 dblp:conf/icdp/0033X15 fatcat:vnm47zjowfg6pjqzlq6itfp45i


Mohd. Sherfuddin Khan
2019 International Journal of Advanced Research in Computer Science  
3D morphology . and real time 3D MRI images for testing the algorithms has been demonstrated along with sectioned view for visual inspection of linear and non linear features.  ...  and scientist for a long time to process the digital image over hexagonal prism lattice to extract better curvilinear features when compared to image processed over Rectangular lattice . in This paper  ...  These features can be used for modeling of motions in medical images for processing and analysis.  ... 
doi:10.26483/ijarcs.v10i1.6367 fatcat:k73lrz5pefg2lk5fpaytlven64

Fast speaker verification on mobile phone data using boosted slice classifiers

Anindya Roy, Mathew Magimai.-Doss, Sebastien Marcel
2011 2011 International Joint Conference on Biometrics (IJCB)  
The system is based on a novel set of features called "slice features".  ...  slices, { * } * =1 defined by their parameters 3) Classifier weights { } * =1 . 2 A value of * equal to 5% of was found to work well for all experiments reported here in subsequent sections.  ...  projects MultiModal Interaction and MultiMedia Data Mining (MULTI, 200020-122062) and Interactive Multimodal Information Management (IM2, 51NF40-111401) and the FP7 European MOBIO project (IST-214324) for  ... 
doi:10.1109/ijcb.2011.6117492 dblp:conf/icb/RoyMM11 fatcat:3mde6vu5p5gv7d3utsonv537zu

An efficient triangle mesh slicing algorithm for all topologies in additive manufacturing

Bethany King, Allan Rennie, Graham Bennett
2020 The International Journal of Advanced Manufacturing Technology  
A new algorithm is implemented utilising an efficient contour construction method, with further adaptations, which make the algorithm suitable for all model topologies.  ...  AbstractTo date, slicing algorithms for additive manufacturing is the most effective for favourable triangular mesh topologies; worst-case models, where a large percentage of triangles intersect each slice  ...  There have been a number of efforts to compensate for low-quality models, containing errors or incorrect geometric features using the slicing process; Zhao et al.  ... 
doi:10.1007/s00170-020-06396-2 fatcat:5obhnbit6zhv7pqpqhek4kz54e

Improving GPGPU energy-efficiency through concurrent kernel execution and DVFS

Qing Jiao, Mian Lu, Huynh Phung Huynh, Tulika Mitra
2015 2015 IEEE/ACM International Symposium on Code Generation and Optimization (CGO)  
Our experimental evaluation shows that the concurrent kernel execution in combination with DVFS can improve energy-efficiency by up to 34.5% compared to the most energy-efficient sequential execution.  ...  choices for the cores and the memory to achieve high performance per watt metric.  ...  Algorithm 3 Kernel Slice Order Our approach to kernel scheduling has three components: (a) an offline model for energy-efficiency estimation of concurrent execution of a pair of kernels with a specified  ... 
doi:10.1109/cgo.2015.7054182 dblp:conf/cgo/JiaoLHM15 fatcat:o6j76mqkhjau5fsvouiv6xsosi

Recurrent Slice Networks for 3D Segmentation of Point Clouds

Qiangui Huang, Weiyue Wang, Ulrich Neumann
2018 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition  
The slice pooling layer is designed to project features of unordered points onto an ordered sequence of feature vectors so that traditional end-to-end learning algorithms (RNNs) can be applied.  ...  Point clouds are an efficient data format for 3D data. However, existing 3D segmentation methods for point clouds either do not model local dependencies [21] or require added computations [14, 23] .  ...  It supports efficient and effective local context modeling. The slice pooling layer is designed to project features of unordered points onto an ordered sequence.  ... 
doi:10.1109/cvpr.2018.00278 dblp:conf/cvpr/HuangWN18 fatcat:vulz4tcqofewvm4yktvu2pm7wy

Differential Evolution and Multiclass Support Vector Machine for Alzheimer's Classification

Jhansi Rani Kaka, K. Satya Prasad, Thippa Reddy G
2022 Security and Communication Networks  
The AlexNet model is applied to the normalized images to extract the features and also applied for feature selection.  ...  The Differential Evolution method applies Pareto Optimal Front for nondominated feature selection. This helps to select the feature that represents the characteristics of the input images.  ...  Feature extraction helps in training the features for classification algorithms to build predictive models that are useful for clinical processes [6] .  ... 
doi:10.1155/2022/7275433 fatcat:5mo4lrenbze6bgs4uxobvove5i
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