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International Conference on Secure Software Integration and Reliability Improvement Companion (SSIRI-C)

作者： DongSeok Cho DooHwan Bae Software Graduate Program Korea Advanced Institute of Science and Technology Seoul South Korea Division of Computer Science Korea Advanced Institute of Science and Technology Taejon South Korea

Recently as the demand of smart devices increases, the porting of embedded operating systems such as Google Android, Microsoft Windows Mobile, and Embedded Linux, becomes more important. Consequently, the importance of efficient, systematic porting is also raised. Generally, developers initiate embedded operating system porting from getting operating system source codes and materials. After they get source codes, they modify the source codes, and then they test them. To identify porting in detail, we investigated a small porting team which has fifteen members. In this team, each developer has done porting depending on his or her knowledge and experience. Therefore, we tried to find studies for efficient, systematic porting, but we couldn't find sufficient study results. This study aims to analyze porting process in a small organization. Also, we'll suggest productive a porting process and evaluate productivity of the new process through a case study.

关键词： Operating systems Manuals Organizations Maintenance engineering programming

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Learning of Spatial Relationships between Observed and Imitated Actions allows Invariant Inverse Computation in the Frontal Mirror Neuron System

Learning of Spatial Relationships between Observed and Imita...

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society

作者： Hyuk Oh Rodolphe J. Gentili James A. Reggia Jose L. Contreras-Vidal Neuroscience and Cognitive Science Program University of Maryland Department of Kinesiology and the Neuroscience and Cognitive Science Program University of Maryland Department of Computer Science and the University of Maryland Institute for Advanced Computer Studies University of Maryland Department of Kinesiology the Neuroscience and Cognitive Science Program and the Fischell Department of Bioengineering University of Maryland

ISBN: (纸本)9781424441211

It has been suggested that the human mirror neuron system can facilitate learning by imitation through coupling of observation and action execution. During imitation of observed actions, the functional relationship between and within the inferior frontal cortex, the posterior parietal cortex, and the superior temporal sulcus can be modeled within the internal model framework. The proposed biologically plausible mirror neuron system model extends currently available models by explicitly modeling the intraparietal sulcus and the superior parietal lobule in implementing the function of a frame of reference transformation during imitation. Moreover, the model posits the ventral premotor cortex as performing an inverse computation. The simulations reveal that: i) the transformation system can learn and represent the changes in extrinsic to intrinsic coordinates when an imitator observes a demonstrator;ii) the inverse model of the imitator's frontal mirror neuron system can be trained to provide the motor plans for the imitated actions.

关键词： Mirror Neurons imitation Premotor Cortex dimensional relationship Superior parietal gyrus Superior Temporal Sulcus Intraparietal Sulcus arithmetic

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Improving node localization in WSN by using obstruction level indicator

Improving node localization in WSN by using obstruction leve...

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IEEE International Conference on Systems, Man and Cybernetics

作者： Salvador Jauregui-Ortiz Mario Siller Felix Ramos Edson Escalabrin Electrical Engineering and Computer Science Department Center of Research and Advanced Studies Guadalajara Jalisco Mexico Graduate Program in Computer Science Pontifical Catholic University of Parana Brazil Curitiba Parana Brazil

Wireless sensor networks can be used in habitat monitoring for detecting fire, in disaster for helping rescue teams and in agriculture for sensing humidity. Node localization is essential for some important sensor network applications. Despite the high relative accuracy of some localization algorithms, node localization is still an opened research area, due to the physical phenomena such as attenuation, reflection, diffraction, scattering and so forth. The current developed algorithms have different accuracy when are tested under dissimilar environments. We propose to use Smart Beacon Nodes (SBNs) to infer the Obstruction Level Indicator over an occupied area, then, use this indicator for estimating the distance among nodes. In our experimental simulation, SBNs decrease the node localization error of Triangular Centroid Localization and Weighted Centroid Localization up to 18%.

关键词： Accuracy Wireless sensor networks Estimation Testing Attenuation Databases Radar

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MDMap: A system for data-driven layout and exploration of molecular dynamics simulations

MDMap: A system for data-driven layout and exploration of mo...

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IEEE Symposium on Biological Data Visualization (BioVis)

作者： Robert Patro Cheuk Yiu Ip Sujal Bista D. Thirumalai Samuel S. Cho Amitabh Varshney Department of Computer Science Institute of Advanced Computer Studies University of Maryland College Park USA Departments of Physics and Computer Science Wake Forest University USA Biophysics Program Institute of Physical Sciences and Technology University of Maryland College Park USA

Contemporary molecular dynamics simulations result in a glut of simulation data, making analysis and discovery a difficult and burdensome task. We present MDMap, a system designed to summarize long-running molecular dynamics (MD) simulations. We represent a molecular dynamics simulation as a state transition graph over a set of intermediate (stable and semi-stable) states. The transitions amongst the states together with their frequencies represent the flow of a biomolecule through the trajectory space. MDMap automatically determines potential intermediate conformations and the transitions amongst them by analyzing the conformational space explored by the MD simulation. MDMap is an automated system to visualize MD simulations as state-transition diagrams, and can replace the current tedious manual layouts of biomolecular folding landscapes with an automated tool. The layout of the representative states and the corresponding transitions among them is presented to the user as a visual synopsis of the long-running MD simulation. We compare and contrast multiple presentations of the state transition diagrams, such as conformational embedding, and spectral, hierarchical, and force-directed graph layouts. We believe this system could provide a road-map for the visualization of other stochastic time-varying simulations in a variety of different domains.

关键词： Layout Visualization Biological system modeling Computational modeling Proteins Data visualization Trajectory

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Comparison of disturbance rejection performance between sliding-mode control and equivalent-input-disturbance approach

Comparison of disturbance rejection performance between slid...

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IEEE International Conference on Mechatronics

作者： She, Jinhua Pan, Yaodong Hashimoto, Hiroshi Wu, Min School of Computer Science Tokyo Univ. of Tech. Hachioji 192-0982 Japan Control Systems Eng Honeywell Canada Mississauga ON L5L3S6 Canada Master Program of Innovation for Design and Eng Advanced Institute of Industrial Tech. Tokyo 140-0011 Japan School of Information Science and Engineering Central South Univ. Changsha 410083 China

ISBN: (纸本)9781612849836

Sliding mode control (SMC) has been considered as a powerful method for disturbances rejection. On the other hand, we have presented an equivalent-input disturbance (EID) approach to reject disturbances. This paper takes a dual-stage feed drive as an example to compare these two methods. The example shows that, while the EID approach obtains almost the same disturbance rejection performance for matched disturbances as that of the SMC does, it can reject unmatched disturbances. This shows the superiority of the EID approach over SMC method. © 2011 IEEE.

关键词： Sliding mode control

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Supervised Learning Framework For Screening Nuclei in Tissue Sections

Supervised Learning Framework For Screening Nuclei in Tissue...

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society

作者： Kaustav Nandy Prabhakar R. Gudla Ryan Amundsen Karen J. Meaburn Tom Misteli Stephen J. Lockett Optical Microscopy and Analysis Laboratory Advanced Technology program SAIC-Frederick Inc. Electrical Engineering and Computer Science Department University of Michigan Cell Biology of Gene Expression National Cancer Institute National Institutes of Health

ISBN: (纸本)9781424441211

Accurate segmentation of cell nuclei in microscope images of tissue sections is a key step in a number of biological and clinical applications. Often such applications require analysis of large image datasets for which manual segmentation becomes subjective and time consuming. Hence automation of the segmentation steps using fast, robust and accurate image analysis and pattern classification techniques is necessary for high throughput processing of such datasets. We describe a supervised learning framework, based on artificial neural networks (ANNs), to identify well-segmented nuclei in tissue sections from a multistage watershed segmentation algorithm. The successful automation was demonstrated by screening over 1400 well segmented nuclei from 9 datasets of human breast tissue section images and comparing the results to a previously used stacked classifier based analysis framework.

关键词： tissue section Cell nucleus Semi-supervised Learning Nucleus Dataset image analysis MULTISTAGE Artificial neural networks Frameworks nuclei (nuclear physics) segmentation Segmentation Automation pattern classification method

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Comparison of disturbance rejection performance between sliding-mode control and equivalent-input-disturbance approach

Comparison of disturbance rejection performance between slid...

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International Conference on Mechatronics (ICM)

作者： Jinhua She Yaodong Pan Hiroshi Hashimoto Min Wu School of Computer Science Tokyo University of Technology Hachioji Tokyo Japan Control Systems Eng Honeywell Canada Mississauga ONT Canada Master Program of Innovation for Design and Eng Advanced Institute of Industrial Technology Tokyo Japan School of Information Science and Engineering Central South University Changsha China

关键词： Equations Observers Manganese Frequency control

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Reports of the AAAI 2010 spring symposia

Reports of the AAAI 2010 spring symposia

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作者： Barkowsky, Thomas Bertel, Sven Broz, Frank Chaudhri, Vinay K. Eagle, Nathan Genesereth, Michael Halpin, Harry Hamner, Emily Hoffmann, Gabe Hölscher, Christoph Horvitz, Eric Lauwers, Tom McGuinness, Deborah L. Michalowski, Marek Mower, Emily Shipley, Thomas F. Stubbs, Kristen Vogl, Roland Williams, Mary-Anne Cognitive Systems Group University of Bremen Research Center SFB/TR 8 Spatial Cognition Germany Human Factors Division Beckman Institute for Advanced Science and Technology University of Illinois Urbana-Champaign IL United States Adaptive Systems Research Group Computer Science Department University of Hertfordshire United Kingdom Artificial Intelligence Center at SRI International United States Txteagle Inc. MIT Media Laboratory United States Computer Science Department Stanford University United States University of Edinburgh United Kingdom Robotics Institute Carnegie Mellon University United States Palo Alto Research Center United States Center for Cognitive Science University of Freiburg Germany CREATE lab Carnegie Mellon Robotics Institute United States Rensselaer Polytechnic Institute United States University of Southern California United States Department of Psychology Temple University Spatial Intelligence and Learning Center United States IRobot Corporation United States Stanford Program in Law Science and Technology Stanford University Law School United States Innovation and Enterprise Research Laboratory University of Technology Sydney Australia

The Association for the Advancement of Artificial Intelligence, in cooperation with Stanford University's Department of computer science, presented the 2010 Spring Symposium Series Monday through Wednesday, March 22-24, 2010, at Stanford University. The titles of the seven symposia were Artificial Intelligence for Development;Cognitive Shape Processing;Educational Robotics and Beyond: Design and Evaluation;Embedded Reasoning: Intelligence in Embedded Systems;Intelligent Information Privacy Management;It's All in the Timing: Representing and Reasoning about Time in Interactive Behavior;and Linked Data Meets Artificial Intelligence. Copyright © 2010.

关键词： Embedded systems

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Reducing time delays on congested road networks using social navigation

Reducing time delays on congested road networks using social...

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IEEE Forum on Integrated and Sustainable Transportation System (FISTS)

作者： Alje van den Bosch Bart van Arem Mohamed Mahmod James Misener Department of Applied Mathematics Faculty of Electrical Engineering Mathematics and Computer Science University of Twente Netherlands Partners for Advanced Transit and Highways (PATH) program University of California Berkeley USA Department of Transport and Planning at the Faculty of Civil Engineering and Geosciences Delft University of Technnology Netherlands Centre of Transport Studies Faculty of Engineering University of Twente Enschede Netherlands

Social navigation provides drivers with an advice that aims to shift traffic flows in a network from a user equilibrium to a system optimum. The advice is based on minimizing a combination of the individual travel time and the marginal total travel time in the network. The level of altruism defines the extent to which a driver is willing to sacrifice his own travel time in favor of other drivers. Fuel consumption and CO2 emission are taking into account by converting them into time equivalent. Experimental results for a small network loosely representing the Bay area show that social navigation can reduce time delays by 10%. The reduction is positively correlated with network load, market penetration and level of altruism.

关键词： Navigation Driver circuits Vehicles Fuels Vehicle dynamics Roads Approximation methods

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Visualization of signalized intersections in driving simulator and validity of driving behaviors in virtual environments

Advances in Transportation Studies

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Advances in Transportation Studies 2011年第26期 17-28页

作者： Yan, X. Abdel-Aty, M. Guo, D. Radwan, E. MOE Key Laboratory for Transportation Complex Systems Theory and Technology Beijing Jiaotong University Beijing 100044 China Department of Civil and Environmental Engineering University of Central Florida Orlando FL 32816-2450 United States Computer Science Program College of Business Florida Gulf Coast University 10501 FGCU Boulevard South Fort Myers FL 33965-6565 United States Center for Advanced Transportation Systems Simulation University of Central Florida Orlando FL 32816-2450 United States

Visualization of highway traffic environments in virtual reality plays a key role on fidelity of simulation and validity of driving behaviors in driving simulator studies. This paper describes a procedure to replicate a signalized intersection with many complex features into a driving simulator's 3-D databases through building a graphical visual database, constructing a road motion database, and creating simulated traffic. The validity of the visualization was assessed via the comparison of the drivers' speeds in the simulator and the speed data at the real intersection. It was found that both speed data follow normal distributions and have equal means for each intersection approach;however, that the speeds measured in the driving simulator have a larger variability than those measured in the field. The users' subjective evaluation results indicated that 92% subjects could recognize the simulated intersection in the driving simulator experiment. Therefore, the strategy of geo-specific environment modeling would be useful for studying driving behaviors in virtual environments.

关键词： Visualization

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