ppxscal/embedding_network huggingface dataset:
Practical Issues in Implementing TRNGs in FPGAs Based on the Ring Oscillator Sampling Method
Authors: Octavian Cret, Alin Suciu, Tamas Gyorfi
Venue: Proceedings of the 2008 10th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (2008)

Field Programmable Gate Arrays (FPGAs) are an increasingly popular choice of platform for the implementation of cryptographic systems. For all such systems, random numbers are essential. One of the most well-known methods for producing true random number sequences in FPGAs is based on the phenomenon of jitter and built upon ring oscillators. This paper describes how to overcome the placement sensitivity caused by the different physical properties of the Logic Elements, thus extending the portability of TRNGs on various FPGA boards. Our design offers an easy implementation, but in the same time maintains the good quality and high generation throughput of random numbers.
Stable and Accurate Feature Selection
Authors: Gokhan Gulgezen, Zehra Cataltepe, Lei Yu
Venue: Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part I (2009)

In addition to accuracy, stability is also a measure of success for a feature selection algorithm. Stability could especially be a concern when the number of samples in a data set is small and the dimensionality is high. In this study, we introduce a stability measure, and perform both accuracy and stability measurements of MRMR (Minimum Redundancy Maximum Relevance) feature selection algorithm on different data sets. The two feature evaluation criteria used by MRMR, MID (Mutual Information Difference) and MIQ (Mutual Information Quotient), result in similar accuracies, but MID is more stable. We also introduce a new feature selection criterion, MID ¿ , where redundancy and relevance of selected features are controlled by parameter ¿.
Design of Adaptive Disturbance Controller for Heavy-Duty Lifting Pipe Heave Compensation System
Authors: Tibing Xiao, Yuming Zhou, Jianjun Long, Dapeng Zou, Baihai Wu
Venue: Proceedings of the 2009 International Conference on Measuring Technology and Mechatronics Automation - Volume 02 (2009)

Introduced a heavy-duty heave compensation system for deep-sea mining lifting pipe and its complex controller which is composed of a position feedback controller, a speed feedback controller and a disturbance controller; based on BP neural network and the use of program software Visual C++6.0, designed an adaptive disturbance controller. Model experimental results indicate that the designed adaptive disturbance controller have a certain degree of adaptive capacity
CLAMP: Practical Prevention of Large-Scale Data Leaks
Authors: Bryan Parno, Jonathan M. McCune, Dan Wendlandt, David G. Andersen, Adrian Perrig
Venue: Proceedings of the 2009 30th IEEE Symposium on Security and Privacy (2009)

Providing online access to sensitive data makes web servers lucrative targets for attackers.A compromise of any of the web server's scripts, applications, or operating system can leak the sensitive data of millions of customers.Unfortunately, many systems for stopping data leaks require considerable effort from application developers, hindering their adoption.In this work, we investigate how such leaks can be prevented with minimal developer effort.We propose CLAMP, an architecture for preventing data leaks even in the presence of web server compromises or SQL injection attacks.CLAMP protects sensitive data by enforcing strong access control on user data and by isolating code running on behalf of different users.By focusing on minimizing developer effort, we arrive at an architecture that allows developers to use familiar operating systems, servers, and scripting languages, while making relatively few changes to application code -- less than 50 lines in our applications.
A Sense of `Danger' for Windows Processes
Authors: Salman Manzoor, M. Zubair Shafiq, S. Momina Tabish, Muddassar Farooq
Venue: Proceedings of the 8th International Conference on Artificial Immune Systems (2009)

The sophistication of modern computer malware demands run-time malware detection strategies which are not only efficient but also robust to obfuscation and evasion attempts. In this paper, we investigate the suitability of recently proposed Dendritic Cell Algorithms (DCA), both classical DCA (cDCA) and deterministic DCA (dDCA), for malware detection at run-time. We have collected API call traces of real malware and benign processes running on Windows operating system. We evaluate the accuracy of cDCA and dDCA for classifying between malware and benign processes using API call sequences. Moreover, we also study the effects of antigen multiplier and time-windows on the detection accuracy of both algorithms.
A Parameterized Web-Based Testing Model for Project Management
Authors: Constanta-Nicoleta Bodea, Maria Dascalu
Venue: Proceedings of the 8th International Conference on Advances in Web Based Learning (2009)

This paper proposes a web-based testing model for project management. The model is based on ontology for encoding project management knowledge, so it is able to facilitate resource extraction in the web-based testware environment. It also allows generation of parameterized tests, according to the targeted difficulty level. The authors present the theoretical approaches that led to the model: semantic nets and concept space graphs have an important role in model designing. The development of the ontology model is made with SemanticWorks software. The test ontology has applicability in project management certification, especially in those systems with different levels, as the IPMA four-level certification system.
Video Pause Detection Using Wavelets
Authors: Shiva Zaboli, David A. Clausi
Venue: Proceedings of the 2009 Canadian Conference on Computer and Robot Vision (2009)

As the volume of digital video captured and stored continuesto increase, research efforts have focused on contentmanagement systems for video indexing and retrieval applications.A first step in generic video processing is shot boundary detection. This paper addresses a novel algorithm for abrupt shot (cut/pause) detection - especially on frames with similar statistics - based on the wavelet transformand content entropy. The algorithm has been successfullytested on some video categories including sport and live videos. Its quantitative performance has been comparedto other known methods including pixel, histogram, frequency domain and statistics difference. In each test, the proposed wavelet method outperforms the others.
The Application of the Anti-outlier Unscent Kalman Filter in the Integrated GPS/DR Orientation
Authors: Yu Li, Jie Cao, Chongyu Ren
Venue: Proceedings of the 2009 WASE International Conference on Information Engineering - Volume 01 (2009)

Vehicle orientation is one of the important technologies in intelligent transportation system and integrated GPS/DR orientation can provide location data of high precision and reliability through data fusion. Hence, at present, the integrated GPS/DR orientation system has been the focus of research at home and abroad. The present paper is on the basis of setting up the Integrated GPS/DR Orientation system model with the Unscent Kalman filter theory. For the common problem of outlier in the process of filtering, the present paper analyses the characteristic and influencing mechanism of the outlier and proposes the solution to dissolve the outlier with the corrected new information based on the M Estimation. The simulation results show that the solution proposed can effectively eliminate the negative effect of the outlier on the filter and can consequently increase the precision of the Integrated GPS/DR Orientation.
AGSMR: Adaptive Geo-Source Multicast Routing for Wireless Sensor Networks
Authors: Sejun Song, Daehee Kim, Baek-Young Choi
Venue: Proceedings of the 4th International Conference on Wireless Algorithms, Systems, and Applications (2009)

We propose Adaptive Geo-Source Multicast Routing (AGSMR) for WSNs. It addresses the scalability issue of previous location based stateless multicast protocols in WSNs. AGSMR is a novel stateless multicast protocol that optimizes the location-based and source-based multicast approaches in various ways. First, it saves the cost of a tree building by using receiver's geographic location information during the receiver's the membership establishment stage without flooding. Second, it decreases computation time, in turn, energy usage by determining the multicast routing path at a multicast source node (or rendezvous point (RP)) rather than calculating and selecting neighbors at each forwarding node. Third, it reduces packet overhead by encoding with a small node ID instead of potentially large location information, and by adaptively using branch geographic information for common source routing path segments.
Improving order and efficiency: Composition with a modified Newton's method
Authors: Miquel Grau-Sánchez
Venue: Journal of Computational and Applied Mathematics (2009)

In this paper a zero-finding technique for solving nonlinear equations more efficiently than they usually are with traditional iterative methods in which the order of convergence is improved is presented. The key idea in deriving this procedure is to compose a given iterative method with a modified Newton's method that introduces just one evaluation of the function. To carry out this procedure some classical methods with different orders of convergence are used to obtain new methods that can be generalized in Banach spaces.
Efficient Target Recovery Using STAGE for Mean-shift Tracking
Authors: Frederick Tung, John S. Zelek, David Clausi
Venue: Proceedings of the 2009 Canadian Conference on Computer and Robot Vision (2009)

Robust visual tracking is a challenging problem, especially when a target undergoes complete occlusion or leaves and later re-enters the camera view. The mean-shift tracker is an efficient appearance-based tracking algorithm that has become very popular in recent years. Many researchers have developed extensions to the algorithm that improve the appearance model used in target localization. We approach the problem from a slightly different angle and seek to improve the robustness of the mean-shift tracker by integrating an efficient failure recovery mechanism. The proposed method uses a novel application of the STAGE algorithm to efficiently recover a target in the event of tracking failure. The STAGE algorithm boosts the performance of a local search algorithm by iteratively learning an evaluation function to predict good states for initiating searches. STAGE can be viewed as a random-restart algorithm that chooses promising restart states based on the shape of the state space, as estimated using the search trajectories from previous iterations. In the proposed method, an adapted version of STAGE is applied to the mean-shift target localization algorithm (Bhattacharyya coefficient maximization using the mean-shift procedure) to efficiently recover the lost target. Experiments indicate that the proposed method is viable as a technique for recovering from failure caused by complete occlusion or departure from the camera view.
Accelarated Publication: Increasing the thin film inductance by using soft magnetic Co92Zr8 as conductor
Authors: Xi-Ling Li, Guo-Zhi Chai, Dang-Wei Guo, Bo Gao, Zheng-Mei Zhang, De-Sheng Xue
Venue: Microelectronic Engineering (2009)

Planar-type thin-film inductor has been fabricated using Co"9"2Zr"8 soft magnetic thin film with high permeability as conductor. The inductance of the Co"9"2Zr"8 inductor is about five times more than that of the Cu inductor at frequency 60MHz. At the same time, the dissipation of thin-film inductor using Co"9"2Zr"8 is similar with that of the Cu inductor. This result presents a novel method for increasing the inductance of thin-film inductor with simple technical process.
Far Away Yet Close: The Learning Strategy of a Transport Company
Authors: Pieter Vries, Heide Lukosch, Gerdje Pijper
Venue: Proceedings of the 8th International Conference on Advances in Web Based Learning (2009)

Rapid changes in the regulations and the organization of the transport sector make innovation an absolute necessity. The ability to cope with these changes depends largely on the learning capacity of the organization. The transport case described here is about the development of a sustainable learning strategy to handle the needs of the mobile workforce also in the long term. The solution is an integrated business portal built on the elements: information, communication, learning and performance improvement. The portal is online and functionalities are added to establish a stable and sustainable solution. Acceptance is growing, but management support remains crucial.
Spatial Event Prediction by Combining Value Function Approximation and Case-Based Reasoning
Authors: Hua Li, Héctor Muñoz-Avila, Diane Bramsen, Chad Hogg, Rafael Alonso
Venue: Proceedings of the 8th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development (2009)

This paper presents a new approach for spatial event prediction that combines a value function approximation algorithm and case-based reasoning predictors. Each of these predictors makes unique contributions to the overall spatial event prediction. The function value approximation prediction is particularly suitable to reasoning with geographical features such as the (x,y) coordinates of an event. The case-based prediction is particularly well suited to deal with non-geographical features such as the time of the event or income level of the population. We claim that the combination of these two predictors results in a significant improvement of the accuracy in the spatial event prediction compared to pure geographically-based predictions. We support our claim by reporting on an ablation study for the prediction of improvised explosive device (IED) attacks.
Evidence for human microRNA-offset RNAs in small RNA sequencing data
Authors: David Langenberger, Clara Bermudez-Santana, Jana Hertel, Steve Hoffmann, Philipp Khaitovich, Peter F. Stadler
Venue: Bioinformatics (2009)

MicroRNA-offset-RNAs (moRNAs) were recently detected as highly abundant class of small RNAs in a basal chordate. Using short read sequencing data, we show here that moRNAs are also produced from human microRNA precursors, albeit at quite low expression levels. The expression levels of moRNAs are unrelated to those of the associated microRNAs. Surprisingly, microRNA precursors that also show moRNAs are typically evolutionarily old, comprising more than half of the microRNA families that were present in early Bilateria, while evidence for moRNAs was found only for a relative small fraction of microRNA families of recent origin. Contact: studla@bioinf.uni-leipzig.de Supplementary information: Supplementary data are available at Bioinformatics online and in machine-readable form at http://www.bioinf.uni-leipzig.de/Publications/SUPPLEMENTS/09-015/
VCP VMware 310 Cert Flash Cards Online, Retail Packaged Version, 1st edition
Authors: John Traenkenschuh
Venue:  (2009)

This is a packaged access code providing full access to the online flash cards. As a late-stage exam preparation tool, the VMware Cert Flash Cards Online provide a concise review of all objectives on the VCP 310 exam. This alternative learning format presents a unique approach that complements other self-study formats, such as books and practice tests. VMware Cert Flash Cards Online is a custom flash card application loaded with 300 total questions that test your skills and enhance retention of exam topics. Questions are organized by exam objective, allowing you to focus your study on selected topics. You can choose to view cards in order or at random, and you can create custom sets from the entire bank of cards. Once the bank is chosen, you view questions, test yourself, and then view answers. The engine provides you with the ability to mark each question as correct or incorrect and provides a detailed score report by category at the end of the exam. You can even write notes on each question and then get a printable PDF of all your notes aligned to the relevant questions and their correct responses. The flash cards are available in both desktop and mobile device formats, enabling you to test yourself at home, work, or on the go. They provide the most important information at a glance, helping you focus your study on areas of weakness, and assisting memory retention of essential exam concepts. The ACM Portal is published by the Association for Computing Machinery. Copyright © 2010 ACM, Inc. Terms of Usage Privacy Policy Code of Ethics Contact Us Useful downloads: Adobe Acrobat QuickTime Windows Media Player Real Player
Tracking as Segmentation of Spatial-Temporal Volumes by Anisotropic Weighted TV
Authors: Markus Unger, Thomas Mauthner, Thomas Pock, Horst Bischof
Venue: Proceedings of the 7th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition (2009)

Tracking is usually interpreted as finding an object in single consecutive frames. Regularization is done by enforcing temporal smoothness of appearance, shape and motion. We propose a tracker, by interpreting the task of tracking as segmentation of a volume in 3D. Inherently temporal and spatial regularization is unified in a single regularization term. Segmentation is done by a variational approach using anisotropic weighted Total Variation (TV) regularization. The proposed convex energy is solved globally optimal by a fast primal-dual algorithm. Any image feature can be used in the segmentation cue of the proposed Mumford-Shah like data term. As a proof of concept we show experiments using a simple color-based appearance model. As demonstrated in the experiments, our tracking approach is able to handle large variations in shape and size, as well as partial and complete occlusions.
A Database Approach for Accelerate Video Data Access
Authors: Wenjing Zhou, Xiangwei Xie, Hui Li, Xiao Zhang, Shan Wang
Venue: Advances in Web and Network Technologies, and Information Management: APWeb/WAIM 2009 International Workshops: WCMT 2009, RTBI 2009, DBIR-ENQOIR 2009, PAIS 2009, Suzhou, China, April 2-4, 2009, Revised Selected Papers (2009)

In this paper, we studied the efficiency and break-event point of storing video objects into DBMS and proved that storing "small" video objects into database is a suitable solution. To the video objects that stored in database as BLOB data type, we devised a database based time-oriented approach to speed up the video content access. Our experiments showed that, because of we extracted some system-aware metadata and stored into database transparently, the read performance was become practicable.
Hoverflow: exploring around-device interaction with IR distance sensors
Authors: Sven Kratz, Michael Rohs
Venue: Proceedings of the 11th International Conference on Human-Computer Interaction with Mobile Devices and Services (2009)

By equipping a mobile device with distance sensing capabilities, we aim to expand the interaction possibilities of mobile and wearable devices beyond the confines of the physical device itself to include the space immediately around it. Our prototype, an Apple iPhone equipped with six IR distance sensors, allows for rich 3D input, comprising coarse movement-based hand gestures, as well as static position-based gestures. A demonstration application, HoverFlow, illustrates the use of coarse hand gestures for interaction with mobile applications. This type of interaction, which we call Around-Device Interaction (ADI) has the potential to help to solve occlusion problems on small-screen mobile devices and scales well to small device sizes.
Recent progress and development of the humanoid robot HanSaRam
Authors: Jeong-Ki Yoo, Bum-Joo Lee, Jong-Hwan Kim
Venue: Robotics and Autonomous Systems (2009)

This paper presents an overview of the recent progress and development of the humanoid robot, HanSaRam series, which have been developed in the Robot Intelligence Technology (RIT) Laboratory, KAIST since 2000. The HanSaRam series have been designed and developed as a small-sized robot for researching walking gate generation, navigation, task planning and HuroCup of FIRA. In particular, the performance of the 7th and 8th versions have been remarkably improved in the aspect of walking pattern generation and task planning. This paper describes the overall design and architecture of recently developed two versions of HanSaRam along with a developed vision simulator tool and the real-time walking gate generation scheme, modifiable walking pattern generator.
Comparing corpora using frequency profiling
Authors: Paul Rayson, Roger Garside
Venue: Proceedings of the Workshop on Comparing Corpora (2000)

This paper describes a method of comparing corpora which uses frequency profiling. The method can be used to discover key words in the corpora which differentiate one corpus from another. Using annotated corpora, it can be applied to discover key grammatical or word-sense categories. This can be used as a quick way in to find the differences between the corpora and is shown to have applications in the study of social differentiation in the use of English vocabulary, profiling of learner English and document analysis in the software engineering process.
Inheritance Hierarchies in Fuzzy Object-Oriented Databases
Authors: Li Yan, Z. M. Ma
Venue: Proceedings of the 2009 WASE International Conference on Information Engineering - Volume 01 (2009)

In this paper, based on possibility distribution and the semantic measure of fuzzy data, we investigate subclasssuperclass relationships in the fuzzy object-oriented databases. We identify fuzzy class and develop soft computing methods in the paper to quantitatively determine the fuzzy subclasssuperclass hierarchies. The strategies to resolve the conflicts in multiple inheritance of class are also presented.
Safety Index of High-Speed Maglev Train Decentralized Operation Control System
Authors: Peng Zhou, Hongze Xu, Jianjun Hou
Venue: Proceedings of the 2009 International Conference on Measuring Technology and Mechatronics Automation - Volume 01 (2009)

The decentralized operation control system, which realizes the function of operation command and safety protection to high-speed maglev train, is a kind of safety-critical computer control system. On the basis of the experience of developing, debugging and running the decentralized operation control system engineering prototype, using for 1.5km high-speed maglev experimental railway line, two safety indexes that are used to quantify the security of the decentralized operation control system were proposed-stable safety probability, mean time to insecure failure, and a 3-state Markov safety-critical system model was set up. Based on the model, quantitative analysis was made to the two safety indexes of the decentralized operation control system which consists of a single functional unit. At last the expressions of the two safety indexes, which are used to obtain the stable safety probability and mean time to insecure failure of the triple module redundant decentralized operation control system, were got.
Simulation and Evaluation of the Combat Effectiveness of Television Remote Control Missile
Authors: Yongfang Zhang, Yanjun Lu, Xiaolei Shi, An Zhang
Venue: Proceedings of the 2009 International Conference on Measuring Technology and Mechatronics Automation - Volume 02 (2009)

The combat effectiveness of a certain type of televisionremote control missile is analyzed. A mathematical model with six degrees-of-freedom of movement is established to describe a single aircraft attacking a single target. Effectiveness indices of hit precision and kill probability and the necessary quantity of missile are obtained by using the Monte Carlo method. Several factors influencing the combat effectiveness of television remote control missile are analyzed. The results show that the hit precision is high and kill probability is great.