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"abstract": "In this study, the solution for grouting pressure decay along the fracture with parallel walls of the Bingham grouts flow is analyzed. Also, by applying stress intensity factor, the fracture propagation under the grouting pressure is simulated through secondary development of large-scale finite element analysis software-ANSYS. At the same time, the magnitude of inlet volume grouting flow rate, grouting pressure and fracture aperture which influence the fracture propagation are analyzed too, which has significant guiding meaning to grouting theory and the practical grouting projects.",
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"abstract": "Fracture formation on surfaces of bi-layered spherical solid is studied numerically. This work is focused on patterns and sizes of fractures and the principle of fracture saturation. We consider a spherical bi-layered solid as an example of fracture formation pattern due to expansion of one material layer with respect to another. As a result of this expansion, it stretches until it reaches its limit of deformation and cracks. A novel numerical code, 3D Realistic Failure Process Analysis system (abbreviated as RFPA3D) is engaged to obtain numerical solutions. The different patterns are obtained by varying the thickness of the material layer. The simulating investigation shows that the stresses exceed the outer layer material's threshold stress, which leads to fracture formation. As this process continues, a pattern of fractures develops. The corollary is that pattern formation and fracture saturation may be understood, or predicted, at some level without a complete understanding of the physical details.",
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{
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"content": "Fracture formation on surfaces of bi-layered spherical solid is studied numerically. This work is focused on patterns and sizes of fractures and the principle of fracture saturation. We consider a spherical bi-layered solid as an example of fracture formation pattern due to expansion of one material layer with respect to another. As a result of this expansion, it stretches until it reaches its limit of deformation and cracks. A novel numerical code, 3D Realistic Failure Process Analysis system (abbreviated as RFPA3D) is engaged to obtain numerical solutions. The different patterns are obtained by varying the thickness of the material layer. The simulating investigation shows that the stresses exceed the outer layer material's threshold stress, which leads to fracture formation. As this process continues, a pattern of fractures develops. The corollary is that pattern formation and fracture saturation may be understood, or predicted, at some level without a complete understanding of the physical details.",
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"title": "Impact Fracture Simulations of Automotive Laminated Glass: The Two Extrinsic Cohesive Models",
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"abstract": "As one of the important component of an automobile, the investigation of impact fracture characteristics of the automotive windshield glass contributes to the pedestrian safety protection, traffic accident reconstruction and the design of the windshield glass. Currently, the impact fracture mechanism of laminated glass is investigated by means of theoretical analyses, experimental investigations and numerical simulations. In view of the advantages of numerical simulations, in this work, we focus on the development of cohesive zone-based numerical algorithms for the application of interest here. The purpose of this work is to numerically investigate initiation and propagation of crack in the framework of cohesive zone modelling (CZM). Based on the cohesive theory, we develop two cohesive elements for brick and shell elements respectively. Different from the predefined approach adopted in the commercial codes, such as LS-DYNA, the cohesive elements are inserted adaptively during calculation. We improve node-to-surface and single surface contact algorithms to correspond to the adaptive generation of contact pairs, and propose edge-edge algorithm to describe crack closure. Two laminated glass models are proposed, among which brick elements are adopted to discretize glass in one model, and shell elements are adopted in the other. The main fracture patterns including radial and circular cracks are captured, the impact force history is obtained during calculation. The simulation results compare well with the corresponding experimental outcomes in terms of the fracture patterns and impact force, which demonstrates the capacity of the proposed method to simulate the impact fracture behaviors of laminated glass. Both the two cohesive elements, used in brick and shell element respectively, are certainly accurate and computational efficient for the simulation of material failure.",
"abstracts": [
{
"abstractType": "Regular",
"content": "As one of the important component of an automobile, the investigation of impact fracture characteristics of the automotive windshield glass contributes to the pedestrian safety protection, traffic accident reconstruction and the design of the windshield glass. Currently, the impact fracture mechanism of laminated glass is investigated by means of theoretical analyses, experimental investigations and numerical simulations. In view of the advantages of numerical simulations, in this work, we focus on the development of cohesive zone-based numerical algorithms for the application of interest here. The purpose of this work is to numerically investigate initiation and propagation of crack in the framework of cohesive zone modelling (CZM). Based on the cohesive theory, we develop two cohesive elements for brick and shell elements respectively. Different from the predefined approach adopted in the commercial codes, such as LS-DYNA, the cohesive elements are inserted adaptively during calculation. We improve node-to-surface and single surface contact algorithms to correspond to the adaptive generation of contact pairs, and propose edge-edge algorithm to describe crack closure. Two laminated glass models are proposed, among which brick elements are adopted to discretize glass in one model, and shell elements are adopted in the other. The main fracture patterns including radial and circular cracks are captured, the impact force history is obtained during calculation. The simulation results compare well with the corresponding experimental outcomes in terms of the fracture patterns and impact force, which demonstrates the capacity of the proposed method to simulate the impact fracture behaviors of laminated glass. Both the two cohesive elements, used in brick and shell element respectively, are certainly accurate and computational efficient for the simulation of material failure.",
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"normalizedAbstract": "As one of the important component of an automobile, the investigation of impact fracture characteristics of the automotive windshield glass contributes to the pedestrian safety protection, traffic accident reconstruction and the design of the windshield glass. Currently, the impact fracture mechanism of laminated glass is investigated by means of theoretical analyses, experimental investigations and numerical simulations. In view of the advantages of numerical simulations, in this work, we focus on the development of cohesive zone-based numerical algorithms for the application of interest here. The purpose of this work is to numerically investigate initiation and propagation of crack in the framework of cohesive zone modelling (CZM). Based on the cohesive theory, we develop two cohesive elements for brick and shell elements respectively. Different from the predefined approach adopted in the commercial codes, such as LS-DYNA, the cohesive elements are inserted adaptively during calculation. We improve node-to-surface and single surface contact algorithms to correspond to the adaptive generation of contact pairs, and propose edge-edge algorithm to describe crack closure. Two laminated glass models are proposed, among which brick elements are adopted to discretize glass in one model, and shell elements are adopted in the other. The main fracture patterns including radial and circular cracks are captured, the impact force history is obtained during calculation. The simulation results compare well with the corresponding experimental outcomes in terms of the fracture patterns and impact force, which demonstrates the capacity of the proposed method to simulate the impact fracture behaviors of laminated glass. Both the two cohesive elements, used in brick and shell element respectively, are certainly accurate and computational efficient for the simulation of material failure.",
"fno": "216500a066",
"keywords": [
"Automotive Components",
"Automotive Materials",
"Cracks",
"Failure Mechanical",
"Fracture",
"Fracture Mechanics",
"Glass",
"Impact Mechanical",
"Laminates",
"Numerical Analysis",
"Road Safety",
"Edge Edge Algorithm",
"Glass Models",
"Brick Elements",
"Main Fracture Patterns",
"Impact Force History",
"Cohesive Elements",
"Shell Element",
"Impact Fracture Simulations",
"Automotive Laminated Glass",
"Extrinsic Cohesive Models",
"Impact Fracture Characteristics",
"Automotive Windshield Glass Contributes",
"Pedestrian Safety Protection",
"Traffic Accident Reconstruction",
"Impact Fracture Mechanism",
"Numerical Simulations",
"Cohesive Zone Based Numerical Algorithms",
"Cohesive Zone Modelling",
"Cohesive Theory",
"Single Surface Contact Algorithms",
"Q Measurement",
"Mechatronics",
"Automation",
"Cohesive Zone Modelling Laminated Glass Crack Impact Fracture Impact Inserted Adaptively"
],
"authors": [
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"affiliation": "South China University of Technology",
"fullName": "Di Wang",
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{
"affiliation": "South China University of Technology",
"fullName": "Mengyan Zang",
"givenName": "Mengyan",
"surname": "Zang",
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}
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"abstract": "This paper develops a kind of generalized double-sided moral hazard model of contract choice with Cobb-Douglas technology in a frame of principal-agent theory. Using this model, we formally prove that the optimal contract maximizes the output net of the disutility of both the parties and carry out some simulations exercise under two special cases which help explain the double-sided moral hazard issues. By focusing on production efficiency, relative importance factor and risk attitude respectively, this paper analyzes the properties of optimal contracts under three cases.",
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"abstract": "In the process of customer knowledge collaborative acquisition information asymmetry between manufacturer and retailer leads to double-sided hazard problem that result in the decrease of their collaborative efficiency and customer knowledge acquisition performance. Therefore, we focus on contractual arrangements to solve this problem. First, based on double-sided moral hazard effects of different efforts and their coefficients of elasticity were considered to construct customer knowledge performance function. Then, cooperation contract was designed through building mathematic model with principle-agent theory. The results showed that the optimal revenue sharing rate of customer knowledge collaborative acquisition was not relative with the efforts of manufacturer and retailer and their cost-of-effort coefficient, while relative with effort-elasticity and exponents of cost-of-effort functions. The results also explored that when manufacturer's efforts contributed more for customer knowledge acquisition, she will share more revenue to give itself incentive; when retailer's efforts contributed more, manufacturer will let him share more revenue for incentive; this incentive mechanism decreased the double-sided moral hazard. Finally, a numerical example illuminated further the contract design and relationships between its variables.",
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{
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"content": "In the process of customer knowledge collaborative acquisition information asymmetry between manufacturer and retailer leads to double-sided hazard problem that result in the decrease of their collaborative efficiency and customer knowledge acquisition performance. Therefore, we focus on contractual arrangements to solve this problem. First, based on double-sided moral hazard effects of different efforts and their coefficients of elasticity were considered to construct customer knowledge performance function. Then, cooperation contract was designed through building mathematic model with principle-agent theory. The results showed that the optimal revenue sharing rate of customer knowledge collaborative acquisition was not relative with the efforts of manufacturer and retailer and their cost-of-effort coefficient, while relative with effort-elasticity and exponents of cost-of-effort functions. The results also explored that when manufacturer's efforts contributed more for customer knowledge acquisition, she will share more revenue to give itself incentive; when retailer's efforts contributed more, manufacturer will let him share more revenue for incentive; this incentive mechanism decreased the double-sided moral hazard. Finally, a numerical example illuminated further the contract design and relationships between its variables.",
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],
"normalizedAbstract": "In the process of customer knowledge collaborative acquisition information asymmetry between manufacturer and retailer leads to double-sided hazard problem that result in the decrease of their collaborative efficiency and customer knowledge acquisition performance. Therefore, we focus on contractual arrangements to solve this problem. First, based on double-sided moral hazard effects of different efforts and their coefficients of elasticity were considered to construct customer knowledge performance function. Then, cooperation contract was designed through building mathematic model with principle-agent theory. The results showed that the optimal revenue sharing rate of customer knowledge collaborative acquisition was not relative with the efforts of manufacturer and retailer and their cost-of-effort coefficient, while relative with effort-elasticity and exponents of cost-of-effort functions. The results also explored that when manufacturer's efforts contributed more for customer knowledge acquisition, she will share more revenue to give itself incentive; when retailer's efforts contributed more, manufacturer will let him share more revenue for incentive; this incentive mechanism decreased the double-sided moral hazard. Finally, a numerical example illuminated further the contract design and relationships between its variables.",
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"abstract": "Sound-to-color synesthesia is a neurological condition in which people experience different colors and shapes when listening to music. We present an augmented reality application that aims to create an interactive synesthesia experience for non-synesthetes. In this application, users can visualize colors corresponding to each unique note in the 12-tone equal-temperament tuning system, and the auditory input can be selected from audio files or real-time microphone. A gestural hand-tracking interface allows users to paint the world space in visualized synesthetic colors.",
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"abstract": "The permanent growth of personal music collections caused by the ongoing digital revolution asks for novel ways of organization. Traditional list based approaches are---particularly for use in mobile devices---no longer appropriate. In this paper we discuss two alternative exploration schemes, both taking advantage of a recently proposed high-dimensional music similarity space. First, we present an interface that facilitates visual navigation through a collection. Then, we propose the use of an acoustic approach, which adapts to the user's taste. The proposed solutions have been integrated into an Android based prototype application. The conducted user experiments indicate that both methods outperform alternative approaches that head into similar directions.",
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"abstract": "In this paper a method for fitting open surfaces to an unorganized set of data points is presented using a level set representation of the surface. This is done by tracking a curve, representing the boundary, on the implicitly defined surface. This curve is given as the intersection of the level set describing the surface and an auxiliary level set. These two level sets are propagated using the same motion vector field. Special care has to be taken in order for the surfaces not to intersect at other places than at the desired boundary. Methods for accomplishing this are presented and a novel fast scheme for finding good initial values is proposed. This novel method gives a piecewise linear approximation of the initial surface boundary using a partition of the convex hull. With the described method open surfaces can be fitted to point clouds obtained using structure from motion techniques. This paper solves an important practical problem since in many cases the surfaces in the scene are open or can only be viewed from certain directions. Successful experiments on several data sets support the method.",
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"content": "The direction field on cortical surface conveys important information. Diffusion of direction field, which aims to smooth noise and meanwhile preserve major geometric structures and inherent discontinuity in the direction field, is useful for cortical surface analysis. In this paper, we propose a novel method for tangential direction field diffusion on cortical surface, which is formulated as an energy minimization problem. To minimize the energy function, we first convert it to a discrete labeling problem, in which the space of solution is represented using a set of labels corresponding to a set of predefined diffused directions. Then we solve the labeling problem efficiently by the graph cuts method. At last, we project the labeled diffused directions to the tangential spaces of the cortical surface and normalize them in order to obtain the final diffused direction field. We validate the proposed direction field diffusion method on both synthesized surfaces and real cortical surfaces, and obtain promising results.",
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"affiliation": "School of Automation, Northwestern, Polytechnical University, Xi'an, China",
"fullName": "Gang Li",
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"affiliation": "School of Automation, Northwestern, Polytechnical University, Xi'an, China",
"fullName": "Lei Guo",
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"surname": "Guo",
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{
"affiliation": "School of Automation, Northwestern, Polytechnical University, Xi'an, China",
"fullName": "Jingxin Nie",
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"surname": "Nie",
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{
"affiliation": "School of Automation, Northwestern, Polytechnical University, Xi'an, China",
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{
"affiliation": "Department of Computer Science, The University of Georgia, Athens, USA",
"fullName": "Tianming Liu",
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"abstract": "It is an important task to reconstruct surfaces from 3D point clouds. Current methods are able to reconstruct surfaces by learning Signed Distance Functions (SDFs) from single point clouds without ground truth signed distances or point normals. However, they require the point clouds to be dense, which dramatically limits their performance in real applications. To resolve this issue, we propose to reconstruct highly accurate surfaces from sparse point clouds with an on-surface prior. We train a neural network to learn SDFs via projecting queries onto the surface represented by the sparse point cloud. Our key idea is to infer signed distances by pushing both the query projections to be on the surface and the projection distance to be the minimum. To achieve this, we train a neural network to capture the on-surface prior to determine whether a point is on a sparse point cloud or not, and then leverage it as a differentiable function to learn SDFs from unseen sparse point cloud. Our method can learn SDFs from a single s parse point cloud without ground truth signed distances or point normals. Our numerical evaluation under widely used benchmarks demonstrates that our method achieves state-of-the-art reconstruction accuracy, especially for sparse point clouds. Code and data are available at https://github.com/mabaorui/OnSurfacePrior.",
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"content": "It is an important task to reconstruct surfaces from 3D point clouds. Current methods are able to reconstruct surfaces by learning Signed Distance Functions (SDFs) from single point clouds without ground truth signed distances or point normals. However, they require the point clouds to be dense, which dramatically limits their performance in real applications. To resolve this issue, we propose to reconstruct highly accurate surfaces from sparse point clouds with an on-surface prior. We train a neural network to learn SDFs via projecting queries onto the surface represented by the sparse point cloud. Our key idea is to infer signed distances by pushing both the query projections to be on the surface and the projection distance to be the minimum. To achieve this, we train a neural network to capture the on-surface prior to determine whether a point is on a sparse point cloud or not, and then leverage it as a differentiable function to learn SDFs from unseen sparse point cloud. Our method can learn SDFs from a single s parse point cloud without ground truth signed distances or point normals. Our numerical evaluation under widely used benchmarks demonstrates that our method achieves state-of-the-art reconstruction accuracy, especially for sparse point clouds. Code and data are available at https://github.com/mabaorui/OnSurfacePrior.",
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"abstract": "Real-world 3D data may contain intricate details defined by salient surface gaps. Automated reconstruction of these open surfaces (e.g., non-watertight meshes) is a challenging problem for environment systhesis in mixed reality applications. Current learning-based implicit techniques can achieve high fidelity on closed-surface reconstruction. However, their dependence on the distinction between the inside and outside of a surface makes them incapable of reconstructing open surfaces. Recently, a new class of implicit functions have shown promise in reconstructing open surfaces by regressing an unsigned distance field. Yet, these methods rely on a discretized representation of the raw data, which loses important surface details and can lead to outliers in the reconstruction. We propose IPVNet, a learning-based implicit model that predicts the unsigned distance between a surface and a query point in 3D space by leveraging both raw point cloud data and its discretized voxel counterpart. Experiments on synthetic and real-world public datasets demonstrates that IPVNet outperforms the state of the art while producing far fewer outliers in the reconstruction.",
"abstracts": [
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"content": "Real-world 3D data may contain intricate details defined by salient surface gaps. Automated reconstruction of these open surfaces (e.g., non-watertight meshes) is a challenging problem for environment systhesis in mixed reality applications. Current learning-based implicit techniques can achieve high fidelity on closed-surface reconstruction. However, their dependence on the distinction between the inside and outside of a surface makes them incapable of reconstructing open surfaces. Recently, a new class of implicit functions have shown promise in reconstructing open surfaces by regressing an unsigned distance field. Yet, these methods rely on a discretized representation of the raw data, which loses important surface details and can lead to outliers in the reconstruction. We propose IPVNet, a learning-based implicit model that predicts the unsigned distance between a surface and a query point in 3D space by leveraging both raw point cloud data and its discretized voxel counterpart. Experiments on synthetic and real-world public datasets demonstrates that IPVNet outperforms the state of the art while producing far fewer outliers in the reconstruction.",
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"abstract": "During cell motility tracking process, to suppress background interference and separate the clustering cells contour, a novel cell boundary feature extraction algorithm based on snake model and curvelet transform(CT) is proposed. The CT has higher time frequency resolution, high degree of directionality and anisotropy. Microscope cell image is denoised by discrete CT to improve SNR. Then curvelet-based Snake model in multiscale space is applied to identify cell contour, which obtains cell boundaries under the effect of both the original image force and the modified nonlinear distance image force. It is effective for electrorotation cell contour extraction corrupted by noise, with weak edges. Experimental results show good performances of the proposed method to extract the shape of edges and quantification of cell motility.",
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"abstract": "In the Korean Pine solid quantity's forecast technique, the characteristic of Korean Pine cone's shape is one of main parameters. This paper can provide the precise data for the Korean Pine solid quantity's forecast technique by segmenting the image of Korean Pine which is taken by the Filed Server. Considering of the complex background of Korean Pine image and the target of hollow contours, we proposed a Snake model image segmentation algorithm that is improved by Ant Colony Algorithm. First, the overall robustness advantage of the Ant Colony Algorithm is used to gain target contours. Then the contours are set to the improved Snake model’s starting value and overcome the original Snake model’s drawbacks. Finally, we can obtain the complete target. The experiment has proven the algorithm’s validity and precision.",
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"abstract": "E-Government is about bringing the government and its citizens together, and to make this a tight relationship between the government and its people trust is paramount. This paper presents an implementation of a Monitoring and Evaluation tool in Honduras, one of its kind in this country. An online tool called Single System of Evaluation of Social Public Policy (Sistema Único de Evaluación de Políticas Públicas Sociales: SUEPPS). By means of SUEPPS the government aims to become a more transparent institution, to make better decisions and to be able to share the outcomes of the social projects, programs and policy with the general public.",
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"title": "2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining",
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"title": "Investigation of Policy Structure in Legal Authorities of Institutions Related to Water Policy Making and Management in Iran through Network Analysis",
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"abstract": "The Codified development documents of Iran indicate that the planned objectives in water section have not been successfully operated. Therefore, the present research has tried to find the basic reasons of such failure. The study explored the power structure in legal network of formal institutions connected with water management in the framework of \"New Institutionalism Theory\". Network of legal authorities of formal institutions related to water resources in national level was delineated with \"Network Analysis\" through UCINET and Net draw Software's. The data have been analyzed using the different indices in network analysis such as centrality, degree, power, and cut point. The results show that there is no good power distribution among water section institutions and no firm relationship among administrative and authoritative institutions in this section. Moreover, nongovernmental institutions do not profit from an appropriate position in these documents. So, it is necessary for policy makers to pay more attention to a balanced power distribution among institutions in national and provincial levels.",
"abstracts": [
{
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"content": "The Codified development documents of Iran indicate that the planned objectives in water section have not been successfully operated. Therefore, the present research has tried to find the basic reasons of such failure. The study explored the power structure in legal network of formal institutions connected with water management in the framework of \"New Institutionalism Theory\". Network of legal authorities of formal institutions related to water resources in national level was delineated with \"Network Analysis\" through UCINET and Net draw Software's. The data have been analyzed using the different indices in network analysis such as centrality, degree, power, and cut point. The results show that there is no good power distribution among water section institutions and no firm relationship among administrative and authoritative institutions in this section. Moreover, nongovernmental institutions do not profit from an appropriate position in these documents. So, it is necessary for policy makers to pay more attention to a balanced power distribution among institutions in national and provincial levels.",
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"normalizedAbstract": "The Codified development documents of Iran indicate that the planned objectives in water section have not been successfully operated. Therefore, the present research has tried to find the basic reasons of such failure. The study explored the power structure in legal network of formal institutions connected with water management in the framework of \"New Institutionalism Theory\". Network of legal authorities of formal institutions related to water resources in national level was delineated with \"Network Analysis\" through UCINET and Net draw Software's. The data have been analyzed using the different indices in network analysis such as centrality, degree, power, and cut point. The results show that there is no good power distribution among water section institutions and no firm relationship among administrative and authoritative institutions in this section. Moreover, nongovernmental institutions do not profit from an appropriate position in these documents. So, it is necessary for policy makers to pay more attention to a balanced power distribution among institutions in national and provincial levels.",
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"affiliation": "Dept. of Natural Resources, Hormozgan Univ., Bandar Abbas, Iran",
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"proceeding": {
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"title": "2011 International Conference on Advances in Social Networks Analysis and Mining",
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"title": "Modeling Network Changes: Systemic Centrality in Foreign Policy Interaction Analysis",
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"abstract": "The complex network of relationships between countries provides an abundance of data from which intelligence analysts must synthesize useful interpretations that effectively inform foreign policy and security decision making. In this work, a network of foreign policy event interactions is developed and then used to describe the state of the international system by estimating the behavioral distances from all relevant actors to the US. Using a graph theoretic approach, we develop a tool for estimating behavioral distances through direct network links when behavior is present, and indirect network paths when direct behavior is unobserved. The international system is examined in temporal aggregations of 60 and 30 days prior to and following the 1991 Gulf War and the 2003 invasion of Iraq. Both periods see distancing from the US as the wars approach, and a partial return to the prior state by 60 days after the initiation of conflict. The overall position of the US and the response of other nations towards the US indicates that the systemic leadership role of the US is diminished in behavioral relationships with a moderate number of actors.",
"abstracts": [
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"content": "The complex network of relationships between countries provides an abundance of data from which intelligence analysts must synthesize useful interpretations that effectively inform foreign policy and security decision making. In this work, a network of foreign policy event interactions is developed and then used to describe the state of the international system by estimating the behavioral distances from all relevant actors to the US. Using a graph theoretic approach, we develop a tool for estimating behavioral distances through direct network links when behavior is present, and indirect network paths when direct behavior is unobserved. The international system is examined in temporal aggregations of 60 and 30 days prior to and following the 1991 Gulf War and the 2003 invasion of Iraq. Both periods see distancing from the US as the wars approach, and a partial return to the prior state by 60 days after the initiation of conflict. The overall position of the US and the response of other nations towards the US indicates that the systemic leadership role of the US is diminished in behavioral relationships with a moderate number of actors.",
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"fno": "4375a690",
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"fullName": "Qin Wu",
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"fullName": "Robert Duval",
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"proceeding": {
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"title": "Information Technology and Computer Science, International Conference on",
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"doi": "10.1109/ITCS.2009.68",
"title": "A Verification Algorithm of Network Security Policy Repository",
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"abstract": "The validity of the network security policy has important impacts on the safety performance of network information system. For purpose of verifying the network security policy repository effectively, a verification model of security policy repository based on EHLPN is proposed. The HLPN is expanded, and based on the establishing of EHLPN model directed graph, the relationship of place and transition about the policy knowledge expression is analyzed, and the verification algorithm of security policy repository is established. Result shows that the model can effectively find the structural errors and provide a new solution and reference for verifying and adjusting the security policy repository, so as to better ensure network system security.",
"abstracts": [
{
"abstractType": "Regular",
"content": "The validity of the network security policy has important impacts on the safety performance of network information system. For purpose of verifying the network security policy repository effectively, a verification model of security policy repository based on EHLPN is proposed. The HLPN is expanded, and based on the establishing of EHLPN model directed graph, the relationship of place and transition about the policy knowledge expression is analyzed, and the verification algorithm of security policy repository is established. Result shows that the model can effectively find the structural errors and provide a new solution and reference for verifying and adjusting the security policy repository, so as to better ensure network system security.",
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"normalizedAbstract": "The validity of the network security policy has important impacts on the safety performance of network information system. For purpose of verifying the network security policy repository effectively, a verification model of security policy repository based on EHLPN is proposed. The HLPN is expanded, and based on the establishing of EHLPN model directed graph, the relationship of place and transition about the policy knowledge expression is analyzed, and the verification algorithm of security policy repository is established. Result shows that the model can effectively find the structural errors and provide a new solution and reference for verifying and adjusting the security policy repository, so as to better ensure network system security.",
"fno": "3688a297",
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"Security Policy",
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"fullName": "Chenghua Tang",
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"affiliation": null,
"fullName": "Shunzheng Yu",
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"content": "The current gold market show a high degree of nonlinearity and uncertainty, in order to predicted the gold price, Empirical Mode Decomposition (EMD) is introduced, the use the EMD orthogonal decompose the special functions into a finite number of independent intrinsic mode functions (IMFs), then Grouping the IMFs according different frequencies, using support vector regression (SVR) to predict each IMF group, at last plus each forecasting value of equal weighted will get the final prediction. Comparative analysis with the traditional practice is relatively mature wavelet transform (WT), WT decompose the function into some signal, then using SVR to predict detail signals and approximation signal, at last plus each forecasting parts will get the final prediction. Empirical studies show that: EMD has more accurate prediction than WT. This method provides a new powerful analytical tool for the gold price Prediction, an important guiding tool in theory and practice.",
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"title": "Conference Record of the Thirty-First Asilomar Conference on Signals, Systems and Computers (Cat. No.97CB36163)",
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"abstract": "Digital signal processing is used in the interception of digital communication signals. Due to the inherent security features, frequency hopped signals (FH) are widely used in both military and commercial communication applications. The interception of FH signals can be addressed in several ways. In this work we use the instantaneous correlation function (ICF) to represent non-stationary signals. We relate the wavelet transform of the ICF surface of a signal to its Wigner-Ville distribution (WVD). The signals can be observed in the scale surfaces of the wavelet domain. An energy analysis is applied to the surfaces (in the wavelet domain) to identify the scale of the FH signal and to estimate the hop frequency. The FH signals can also be identified by inspecting the pattern of the scales of a multiple-hop-observation interval. If all hop frequencies are within one wavelet scale, then the FH signal can be identified by a set of distinct hop frequencies.",
"abstracts": [
{
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"content": "Digital signal processing is used in the interception of digital communication signals. Due to the inherent security features, frequency hopped signals (FH) are widely used in both military and commercial communication applications. The interception of FH signals can be addressed in several ways. In this work we use the instantaneous correlation function (ICF) to represent non-stationary signals. We relate the wavelet transform of the ICF surface of a signal to its Wigner-Ville distribution (WVD). The signals can be observed in the scale surfaces of the wavelet domain. An energy analysis is applied to the surfaces (in the wavelet domain) to identify the scale of the FH signal and to estimate the hop frequency. The FH signals can also be identified by inspecting the pattern of the scales of a multiple-hop-observation interval. If all hop frequencies are within one wavelet scale, then the FH signal can be identified by a set of distinct hop frequencies.",
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"normalizedAbstract": "Digital signal processing is used in the interception of digital communication signals. Due to the inherent security features, frequency hopped signals (FH) are widely used in both military and commercial communication applications. The interception of FH signals can be addressed in several ways. In this work we use the instantaneous correlation function (ICF) to represent non-stationary signals. We relate the wavelet transform of the ICF surface of a signal to its Wigner-Ville distribution (WVD). The signals can be observed in the scale surfaces of the wavelet domain. An energy analysis is applied to the surfaces (in the wavelet domain) to identify the scale of the FH signal and to estimate the hop frequency. The FH signals can also be identified by inspecting the pattern of the scales of a multiple-hop-observation interval. If all hop frequencies are within one wavelet scale, then the FH signal can be identified by a set of distinct hop frequencies.",
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"Signal Representation",
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"Military Communication",
"Correlation Methods",
"Wigner Distribution",
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"Wavelets",
"Security",
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"FH Signals",
"Instantaneous Correlation Function",
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"Wavelet Transform",
"Wigner Ville Distribution",
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"Military Communication",
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"affiliation": "Dept. of Electr. & Comput. Eng., Naval Postgraduate Sch., Monterey, CA, USA",
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"title": "2017 IEEE/ACS 14th International Conference on Computer Systems and Applications (AICCSA)",
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"abstract": "In this paper we present an approach to quantify the effect of surface re-meshing on hemodynamic modeling. This work is organized in three parts. First, we briefly present the basic concepts inherent in hemodynamic modeling. Then, we detail the approach of triangular surface re-meshing: simplification and local densification based on discrete curvature analysis. The re-meshed triangular surfaces are used as input as well as a parabolic inlet velocity profile to the hemodynamic modeling procedure. As a validation, the third part will be focused on two examples: carotid blood flow characterization for a healthy patient and one with stenosis in the carotid artery. We quantified the differences between the generated models by evaluating the Eucledean similarity, rate of change and RMSE between the measured and modeled velocity obtained with different mesh densities. We conclude with the important effect of re-meshing on the modeled results and we propose to adapt the choice of the localization and the proportion of re-meshing to the local deformation of arterial structure.",
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{
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"content": "In this paper we present an approach to quantify the effect of surface re-meshing on hemodynamic modeling. This work is organized in three parts. First, we briefly present the basic concepts inherent in hemodynamic modeling. Then, we detail the approach of triangular surface re-meshing: simplification and local densification based on discrete curvature analysis. The re-meshed triangular surfaces are used as input as well as a parabolic inlet velocity profile to the hemodynamic modeling procedure. As a validation, the third part will be focused on two examples: carotid blood flow characterization for a healthy patient and one with stenosis in the carotid artery. We quantified the differences between the generated models by evaluating the Eucledean similarity, rate of change and RMSE between the measured and modeled velocity obtained with different mesh densities. We conclude with the important effect of re-meshing on the modeled results and we propose to adapt the choice of the localization and the proportion of re-meshing to the local deformation of arterial structure.",
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"normalizedAbstract": "In this paper we present an approach to quantify the effect of surface re-meshing on hemodynamic modeling. This work is organized in three parts. First, we briefly present the basic concepts inherent in hemodynamic modeling. Then, we detail the approach of triangular surface re-meshing: simplification and local densification based on discrete curvature analysis. The re-meshed triangular surfaces are used as input as well as a parabolic inlet velocity profile to the hemodynamic modeling procedure. As a validation, the third part will be focused on two examples: carotid blood flow characterization for a healthy patient and one with stenosis in the carotid artery. We quantified the differences between the generated models by evaluating the Eucledean similarity, rate of change and RMSE between the measured and modeled velocity obtained with different mesh densities. We conclude with the important effect of re-meshing on the modeled results and we propose to adapt the choice of the localization and the proportion of re-meshing to the local deformation of arterial structure.",
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"abstract": "Proposes as a generalization of isosurfaces, the 'interval volume', which is a new type of geometric model representing 3D subvolumes with field values belonging to a closed interval. A dominant surface fitting algorithm called 'marching cubes' is extended to obtain a solid fitting algorithm, which extracts from a given volumetric dataset a high-resolution polyhedral solid data structure of the interval volume. Rendering methods for the interval volume and principal related operations are also presented. The effectiveness of this approach is illustrated with 4D simulated data from atomic collision research.",
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"id": "proceedings/ieee-vis/2001/7200/0/7200zwicker",
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"abstract": "Splatting is a popular technique for volume rendering, where voxels are represented by Gaussian kernels, whose pre-integrated footprints are accumulated to form the image. Splatting has been mainly used to render pre-shaded volumes, which can result in significant blurring in zoomed views. This can be avoided in the image-aligned splatting scheme, where one accumulates kernel slices into equi-distant, parallel sheet buffers, followed by classification, shading, and compositing. In this work, we attempt to evolve this algorithm to the next level: GPU (graphics processing unit) based acceleration. First we describe the challenges that the highly parallel \"Gather\" architecture of modern GPUs poses to the \"Scatter\" based nature of a splatting algorithm. We then describe a number of strategies that exploit newly introduced features of the latest-generation hardware to address these limitations. Two crucial operations to boost the performance in image-aligned splatting are the early elimination of hidden splats and the skipping of empty buffer-space. We describe mechanisms which take advantage of the early z-culling hardware facilities to accomplish both of these operations efficiently in hardware.",
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