ppxscal/embedding_network huggingface dataset:
Achievable throughput of multiple access spectrum systems based on cognitive relay
Authors: Wei Wang, Baochun Li, Li Yu
Venue: Proceedings of the 2009 ACM workshop on Cognitive radio networks (2009)

Cognitive relays form a special cooperation relationship among users in cognitive radio networks, and help increase the transmission rates of both primary users and secondary users. However, we observe that in certain scenarios, the use of relays may deteriorate the performance. In this paper, we propose a novel scheme in the MAC layer, called CodeAssist, by using network coding. It renders every relayed packet useful and recoverable as long as a sufficient number of coded packets are received by the intended terminal. CodeAssist is designed to apply network coding in every relay buffer, and moreover, leads to a lower bound of relayed packets for each secondary user. We also show numerical results for further demonstrations of the improved performance with CodeAssist.
Visualization of Software and Systems as Support Mechanism for Integrated Software Project Control
Authors: Peter Liggesmeyer, Jens Heidrich, Jürgen Münch, Robert Kalcklösch, Henning Barthel, Dirk Zeckzer
Venue: Proceedings of the 13th International Conference on Human-Computer Interaction. Part I: New Trends (2009)

Many software development organizations still lack support for obtaining intellectual control over their software development processes and for determining the performance of their processes and the quality of the produced products. Systematic support for detecting and reacting to critical process and product states in order to achieve planned goals is usually missing. One means to institutionalize measurement on the basis of explicit models is the development and establishment of a so-called Software Project Control Center (SPCC) for systematic quality assurance and management support. An SPCC is comparable to a control room, which is a well known term in the mechanical production domain. One crucial task of an SPCC is the systematic visualization of measurement data in order to provide context-, purpose-, and role-oriented information for all stakeholders (e.g., project managers, quality assurance managers, developers) during the execution of a software development project. The article will present an overview of SPCC concepts, a concrete instantiation that supports goal-oriented data visualization, as well as examples and experiences from practical applications.
Assessment of the effectiveness of the educational environment supported by computer aided presentations at primary school level
Authors: Erdogan Kose
Venue: Computers Education (2009)

The objective of this study is to assess the effectiveness of the educational environment supported by computer aided presentations at primary school. The effectiveness of the environment has been evaluated in terms of students' learning and remembering what they have learnt. In the study, we have compared experimental group and control group in terms of learning and recalling what has been learned regarding the effect which computer aided learning environment imposes. Data have been collected through the control grouped pretest-final test model. During the experiment, we have prepared an achievement test, which explains behaviors the students should acquire. According to the findings obtained, a computer aided educational environment has been observed to be more effective than that of conventional education in terms of learning. However, in terms of the permanence of what has been learned, no meaningful difference between the educational environment supported by computer aided presentations and that of conventional education has come out. According to the results of the follow-up tests performed, even though students in the test group have forgotten more of what they have learnt, it has been concluded that students in both groups have forgotten on the same level. Consequently, it has been observed that though the educational environment supported by computer aided presentations has positive contributions to learning activity, it does not have effects on the permanence of what has been learnt.
Analytic Approximate Periodic Solutions Based on Harmonic Analysis
Authors: Constantin Bota, Bogdan Caruntu, Marius Babescu
Venue: Proceedings of the 2008 10th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (2008)

In the present paper we introduce an analytic approximation technique based on harmonic analysis for the solution of differential equations, and we apply this technique in two concrete cases. First we study the differential equation obtained by the Law of electromagnetic induction for reluctance motors. The exact analytical solution of this equation can be determined only for a few particular cases. Our paper presents a method which gives a very good approximate analytical solution for the general case, together with its harmonics. Next we use the proposed technique to solve the problem of free oscillations of self-excited systems. While other analytical techniques used to solve this problem, such as perturbation-type methods, yield useful approximations only for small parameter values, the proposed method does not depend on the existence of small parameters in the considered nonlinear equations.
Informative Laplacian Projection
Authors: Zhirong Yang, Jorma Laaksonen
Venue: Proceedings of the 16th Scandinavian Conference on Image Analysis (2009)

A new approach of constructing the similarity matrix for eigendecomposition on graph Laplacians is proposed. We first connect the Locality Preserving Projection method to probability density derivatives, which are then replaced by informative score vectors. This change yields a normalization factor and increases the contribution of the data pairs in low-density regions. The proposed method can be applied to both unsupervised and supervised learning. Empirical study on facial images is provided. The experiment results demonstrate that our method is advantageous for discovering statistical patterns in sparse data areas.
Design of Low Phase Noise VCO in GSM System
Authors: Li Fu, Hua Fu, Li Jun-Song, Zhang Xian-Wu
Venue: Proceedings of the 2009 WASE International Conference on Information Engineering - Volume 01 (2009)

Abstract—The low phase noise Voltage-Controlled Oscillator (VCO) that has been used in GSM system is manufactured by circuit simulation. Under the condition of ensuring tuning range, the phase noise of VCO is effectively reduced. The designed VCO has center frequency of 825 MHz, the tuning bandwidth 63 MHz, the tuning voltage 1.8-4.5 V, the tuning sensitivity 22.5 MHz / V, and the phase noise -116 dBc/Hz/10KHz. The adult reflow soldering process was selected. The design is low cost and suitable for large scale of production due to its little manual debugging work. (Abstract)
Study on Settlement Velocity of Activated Sludge
Authors: Wei Zhang, Zhihong Zou, Jun Sui
Venue: Proceedings of the 2009 IITA International Conference on Control, Automation and Systems Engineering (case 2009) (2009)

An overall-process settlement model, in which power function was introduced to simulate the compression settlement process, was set up in this paper, and its feasibility was verified based on experiment data. Then, the compression settlement velocity model was deduced by differentiate the compression settlement process model, based on which the relationship between the coefficient in the power function model brought forward by Dick and the initial sludge concentration and height was gained. Furthermore, a calculational method to determine the time of transition from zone settlement to compression settlement , concluded by analyzing the overall-process settlement model, has the same trend with the graphing method and was much easier.
A Generic Moment Invariants Based Supervised Learning Framework for Classification Using Partial Object Information
Authors: Rashid Minhas, Abdul Adeel Mohammed, Q. M. Jonathan Wu
Venue: Proceedings of the 2009 Canadian Conference on Computer and Robot Vision (2009)

We present a novel classification scheme which uses partial object information that is selected adaptively using modified distance transform and represented as moment invariants (Hu moments) to compensate for scale, translation and rotational transformation(s). The moment invariants of different parts of an object are learned using AdaBoost algorithm [1]. The classifier obtained using the proposed scheme is able to handle changes in illumination, pose, and varying inter-class and intra-class attributes. Partial information based classification shows robustness against object articulations, clutters, and occlusions. The first contribution of our proposed method is an adaptive selection of partial object information using modified distance transform that attempts to extract contours along with its neighborhood information in the form of blocks. Secondly, our proposed method is invariant to scaling, translation and rotation, and reliably classifies occluded objects using fractional information. Our proposed method achieved better detection and classification rate compared to other state-of-the-art schemes.
FPGA-Based Vocabulary Recognition Module for Humanoid Robot
Authors: Yu-Te Su, Chun-Yang Hu, Tzuu-Hseng S. Li
Venue: Proceedings of the FIRA RoboWorld Congress 2009 on Advances in Robotics (2009)

This paper focuses on using FPGA board to realize the ability of vocabulary recognition for humanoid robot. At first, the system structure of the humanoid robot system is setup. The central process unit of the humanoid robot is a FPGA board, ALTERA Nios II EP2C20F324C8, which not only controls all the motors of robot but also processes the information of vision system. The vocabulary recognition method is then introduced. We apply the image segment to find the valid region, and use the encoding method to sample the word. After matching algorithm, we use a speech module, Emic TTS module, to pronounce the word. Finally the experiments verify the procedure of the proposed module and demonstrate the feasibility of the vocabulary recognition and speak out function for the humanoid robot.
Architectures for interactive vocal environment to Brazilian digital TV middleware
Authors: Lucas A. M. C. Carvalho, Adolfo P. Guimarães, Hendrik T. Macêdo
Venue: Proceedings of the 2008 Euro American Conference on Telematics and Information Systems (2008)

Brazil began in 2007 a new phase in the transmission of terrestrial television: the deployment of Digital TV. Since the beginning, the Brazilian proposal has made it clear its association with digital inclusion as it arose a need of ensuring full accessibility and usability for users of terrestrial TV, among them individuals with special needs. It is in that context that emerges as an alternative the use of voice commands as a means of integrating these users. Using technologies such as voice gateway and VoiceXML language for voice interaction and Ginga as a platform for Digital TV, this work presents two architecture proposals to integrate these two technologies.
Brain-Computer Interaction
Authors: Peter Brunner, Gerwin Schalk
Venue: Proceedings of the 5th International Conference on Foundations of Augmented Cognition. Neuroergonomics and Operational Neuroscience: Held as Part of HCI International 2009 (2009)

Detection and automated interpretation of attention-related or intention-related brain activity carries significant promise for many military and civilian applications. This interpretation of brain activity could provide information about a person's intended movements, imagined movements, or attentional focus, and thus could be valuable for optimizing or replacing traditional motor-based communication between a person and a computer or other output devices. We describe here the objective and preliminary results of our studies in this area.
Towards a Lightweight Security Solution for User-Friendly Management of Distributed Sensor Networks
Authors: Pentti Tarvainen, Mikko Ala-Louko, Marko Jaakola, Ilkka Uusitalo, Spyros Lalis, Tomasz Paczesny, Markus Taumberger, Pekka Savolainen
Venue: Proceedings of the 9th International Conference on Smart Spaces and Next Generation Wired/Wireless Networking and Second Conference on Smart Spaces (2009)

Wirelessly networked sensors and actuators are a cornerstone of systems that try to introduce smartness in a wide range of outdoor and indoor environments. The robust and secure operation of such systems is of central importance and will definitely play a key role in terms of their adoption by organizations and individuals. However, the commonly applied security mechanisms based on current standards are either resource consuming, inconvenient to use, or both. In this paper, a generic, lightweight and user-friendly approach to implement secure network management and confidentiality in a Distributed Sensor Networks (DSNs) is proposed.
In Search of Semantic Compositionality in Vector Spaces
Authors: Eugenie Giesbrecht
Venue: Proceedings of the 17th International Conference on Conceptual Structures: Conceptual Structures: Leveraging Semantic Technologies (2009)

In spite of the widespread usage of geometric models of meaning in computational linguistics and information retrieval research, they have been until recently mostly utilized for modeling lexical meaning. The ability to deal with concept combination, however, is the essential capacity of human language, and any semantic theory should be able to handle it.Making use of Word Space Models (Schütze 1998) and Random Indexing (Sahlgren 2005), we explore the hypothesis that compositional meaning can be captured in such models by adopting a number of mathematical operations for vector composition (summation, component product, tensor product and convolution) to model semantic composition in a multiword unit identification task. 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
Using Tablet PCs and Pen-Based Technologies to Support Engineering Education
Authors: Ignacio Casas, Sergio F. Ochoa, Jaime Puente
Venue: Proceedings of the 13th International Conference on Human-Computer Interaction. Part IV: Interacting in Various Application Domains (2009)

Several experiences and results of the Tablet PC adoption have been reported, mainly in American universities. Although the benefits seem to be highly interesting, it is not clear if they are replicable in developing countries. In order to try to understand the impact of Tablet PCs on engineering education in Chile, the authors conducted several experiments at the two traditional Chilean universities. This paper reports the experiences and the obtained results, comparing them with those obtained in American universities.
Industrial Automation and Process Control Security: SCADA, DCS, PLC, HMI, 1st edition
Authors: Tyson Macaulay
Venue:  (2009)

SCADA - Supervisory Control and Data Acquisition - Systems don't necessarily mesh well with standard IT security, although combined the two can create deepened levels of protection. This book demonstrates how to develop a SCADA cyber security program and how to work with internal and external IT resources in order to implement it. The technical level of this text ensures that it does not provide a detailed 'cookbook' that can be used to attack SCADA systems, but the text still provides sufficient technical detail to address areas of concern. 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
Dynamic shape capture using multi-view photometric stereo
Authors: Daniel Vlasic, Pieter Peers, Ilya Baran, Paul Debevec, Jovan Popović, Szymon Rusinkiewicz, Wojciech Matusik
Venue: ACM SIGGRAPH Asia 2009 papers (2009)

We describe a system for high-resolution capture of moving 3D geometry, beginning with dynamic normal maps from multiple views. The normal maps are captured using active shape-from-shading (photometric stereo), with a large lighting dome providing a series of novel spherical lighting configurations. To compensate for low-frequency deformation, we perform multi-view matching and thin-plate spline deformation on the initial surfaces obtained by integrating the normal maps. Next, the corrected meshes are merged into a single mesh using a volumetric method. The final output is a set of meshes, which were impossible to produce with previous methods. The meshes exhibit details on the order of a few millimeters, and represent the performance over human-size working volumes at a temporal resolution of 60Hz.
Symbol Synchronization Algorithm Based on Pseudo-superimposed Zadoff-Chu in Advanced-LTE
Authors: Tang Yan-bo, Ge Wan-cheng
Venue: Proceedings of the 2009 Asia-Pacific Conference on Information Processing - Volume 01 (2009)

In LTE system, Maximum Likelihood Algorithm based oncyclicprefixisusedtoaccomplishthesymbolandslot synchronization.Zadoff-Chusequencesfinishframesynchronization and cell search. Butinlowsignal-to-noise ratio AWGN channelsandmulti-pathfadingchannels,themaximum likelihoodpeakvaluesarenotstableintherightplacedueto highnoiseeffects,multi-pathdelaysandDopplereffects respectively.InthispaperaPseudo-superimposedZadoff-Chu sequencehasbeenproposed.Zadoff-Chusequenceisinserted equip-spaced as reference signals in frequency domain, after IFFT referencesignalshavebeentransformedintoseveralperiodic sequencesintimedomain.Thesesequenceshavegoodauto-correlation as well as in frequency domain. In contrast to existing synchronizationschemes,theproposedarchitecturehasthe advantageofbettersynchronizationaccuracyandhigherdata throughputsinceitdoesn’tneedextrasuperimposeddatain frequency domain or in time domain.
Enabling the interoperability of large-scale legacy systems
Authors: Kalyan Moy Gupta, Mike Zang, Adam Gray, David W. Aha, Joe Kriege
Venue: Proceedings of the 20th national conference on Innovative applications of artificial intelligence - Volume 3 (2008)

Legacy system data models can interoperate only if their syntactic and semantic differences are resolved. To address this problem, we developed the Intelligent Mapping Toolkit (IMT), Which enables mixed-initiative mapping of metadata and instances between relational data models. IMT employs a distributed multi-agent architecture so that, unlike many other efforts, it can perform mapping tasks that involve thousands of schema elements. This architecture includes a novel federation of matching agents that leverage case-based reasoning methods. As part of our pre-deployment evaluation for USTRANSCOM and other DoD agencies, we evaluated IMT's mapping performance and scalability, We show that combinations of its matching agents are more effective than any that operate independently, and that they scale to realistic problems.
A Trustable Reputation Scheme Based on Private Relationships
Authors: Shin-Yan Chiou, Shih-Ying Chang, Ghita Mezzour, Adrian Perrig, Hung-Min Sun
Venue: Proceedings of the 2009 International Conference on Advances in Social Network Analysis and Mining (2009)

Online reviews are widely used for purchase decisions. Their trustworthiness is limited, however, by fake reviews. Fortunately, opinions from friends in a social network are more reliable but less convenient to obtain. Combining the advantages of online reviews and opinions from friends can be achieved by enabling users to recognize the online reviews originating from their friends. By leveraging buyers’ trust to nearby friends within their social network, it is possible to provide them in some cases with online reviews they can entirely trust. In this paper we present techniques to enable users to recognize the online reviews from their friends in a privacy-preserving manner. Our approach has many applications such as Internet auctions and online gaming.
Anecdotes: Magnavox and Intel: An Odyssey
Authors: Stanley Mazor, Peter Salmon
Venue: IEEE Annals of the History of Computing (2009)

Today we have high-resolution videogames connected to our television sets, but let us reflect on a pioneering system in this field from 30 years ago. As an Intel applications engineer in 1976, my job (Mazor) was to find new customer applications for microcomputers and to translate customer needs to chip designers like Peter Salmon, who used our technology to solve customer problems. Analog integrated circuits (ICs) were prominently used in the entertainment products, but digital circuits were just making their debut particularly with digital readouts for time, station, and counters.
Learning to connect language and perception
Authors: Raymond J. Mooney
Venue: Proceedings of the 23rd national conference on Artificial intelligence - Volume 3 (2008)

To truly understand language, an intelligent system must be able to connect words, phrases, and sentences to its perception of objects and events in the world. Current natural language processing and computer vision systems make extensive use of machine learning to acquire the probabilistic knowledge needed to comprehend linguistic and visual input. However, to date, there has been relatively little work on learning the relationships between the two modalities. In this talk, I will review some of the existing work on learning to connect language and perception, discuss important directions for future research in this area, and argue that the time is now ripe to make a concerted effort to address this important, integrative AI problem.
Distribution and Pollution Assessment of Heavy Metals in Sewage Discharge Channels Inpouring into Sea in Tianjin, China
Authors: Yanan Li, Xinhua Zhao, Lihua Dong, Hongxia Li, Wenbo Lin
Venue: Proceedings of the 2009 International Conference on Environmental Science and Information Application Technology - Volume 02 (2009)

Taking the Beitang and Dagu Sewage Discharge Channels in Tianjin, China, as study objects, concentrations of heavy metals and organic matter are determined in upper layer, middle layer and lower layer sediment samples. Geo-accumulation index method and correlation analysis are taken to study the distribution and pollution level of metals between layers in the two channels contrastively. The results show that the concentrations of heavy metals greatly vary among each layer sediment, proved by the fact that the coefficients of variation of heavy metals concentrations differ in each layer. The main pollutants are all Cd, Zn and Cu, and Cd is the most heavily polluted element. The correlation of heavy metals and organic matter concentrations shows a reinforcement trend from upper layer to lower layer. Besides, the difference of pollution level between layers is larger in Beitang Channel than that in Dagu Channel, and the correlation of each pollutant in each layer sediment in Beitang Channel is more significant than that in Dagu Channel.
Development of a Micro Quad-Rotor UAV for Monitoring an Indoor Environment
Authors: B. C. Min, C. H. Cho, K. M. Choi, D. H. Kim
Venue: Proceedings of the FIRA RoboWorld Congress 2009 on Advances in Robotics (2009)

The purpose of this paper is to develop a micro UAV (Unmanned Aerial Vehicle) as the platform for monitoring an indoor environment, more specifically, a quad-rotor aircraft that has strong advantages of its small size, stable hovering and precise flight. To begin with, we analyze the dynamics of a quad-rotor aircraft, and introduce control strategies based on the PD control. Then, the developed micro quad-rotor UAV, equipped with micro controllers, various sensors, and a wireless camera, is presented and is compared with the DraganFlyer commercial quad-rotor aircraft. Finally, experimental results are also provided so as to illustrate stable flight performances.