ppxscal/embedding_network huggingface dataset:
Look-ahead and look-behind shortcuts in large item category hierarchies: The impact on search performance
Authors: John Harold Pardue, Jeffery Paul Landry, Eric Kyper, Rodrigo Lievano
Venue: Interacting with Computers (2009)

Websites use shortcuts to facilitate navigation of large hierarchies of item categories. Two common types of shortcuts used for this purpose are location breadcrumbs and down-to-child/up-to-parent links; frequently both are employed simultaneously. The combined used of these shortcuts provide proximal cues which enable the user to look-ahead and look-behind in the navigational structure. In this study, the impact of shortcut usage on search performance on a known-item search task is estimated. A controlled experiment was conducted using a realistic hypertext hierarchy of item categories. The results indicate that greater use of shortcuts decreases both time on task and lostness for the user, and that the decrease is associated with increased depth in the hierarchy. These findings provide insight into possible performance trade-offs involved in website designs that include look-ahead shortcuts for navigating large item category hierarchies.
Behavioral and electrophysiological evidence of motor cortex activation related to an amputated limb: A multisensorial approach
Authors: Pascale Touzalin-Chretien, Solange Ehrler, André Dufour
Venue: Journal of Cognitive Neuroscience (2009)

Phantom limb sensations may be linked to motor activities in the deafferented cortices of amputees, with artificial visual feedback of an amputated limb leading to enhanced phantom sensations. The present study was designed to verify if cortical motor activity related to an amputated limb can be triggered by visual input using an objective behavioral measure and with a neurophysiological correlate. Trauma amputees and normally limbed subjects showed superior performance in a mirror-drawing task when the mirror was placed sagittally (giving visual feedback of the amputated/inactive limb) compared with when it was placed frontally. Measurement of lateralized movement-related brain potentials showed that, under the lateral mirror condition, contralateral motor activity of the viewed hand was observed in both normal subjects and trauma amputees. In contrast, this activity was not observed in subjects with congenital limb absence. These findings suggest that, in traumatic amputees, motor enhancement due to visualization of the movements of the missing limb reflects the effectiveness of motor commands to the missing limb, strengthening the hypothesis of the functional survival of deafferented cortical motor areas.
MicroEliece: McEliece for Embedded Devices
Authors: Thomas Eisenbarth, Tim Güneysu, Stefan Heyse, Christof Paar
Venue: Proceedings of the 11th International Workshop on Cryptographic Hardware and Embedded Systems (2009)

Most advanced security systems rely on public-key schemes based either on the factorization or the discrete logarithm problem. Since both problems are known to be closely related, a major breakthrough in cryptanalysis tackling one of those problems could render a large set of cryptosystems completely useless. The McEliece public-key scheme is based on the alternative security assumption that decoding unknown linear binary codes is NP-complete. In this work, we investigate the efficient implementation of the McEliece scheme on embedded systems what was --- up to date --- considered a challenge due to the required storage of its large keys. To the best of our knowledge, this is the first time that the McEliece encryption scheme is implemented on a low-cost 8-bit AVR microprocessor and a Xilinx Spartan-3AN FPGA.
Key Considerations and Experience Using the Ultra Low Power Sensium Platform in Body Sensor Networks
Authors: M. Hernadez Silveira, C. Nunn, A. Lakhanpal, D. McDonagh, R. McPartland, A. Burdett
Venue: Proceedings of the 2009 Sixth International Workshop on Wearable and Implantable Body Sensor Networks (2009)

A body-worn monitor termed the LifePebble has been developed for real-time measurement of ECG, heart rate, physical activity (3 axis accelerometer) and optionally skin temperature. The LifePebble incorporates the SensiumTM system-on-chip platform designed specifically for wireless body sensor networks, and achieves robust and reliable operation in a compact and lightweight form factor. An initial target application is described; the real-time measurement of energy expenditure, to encourage positive lifestyle changes for early stage type-2 diabetic patients. This paper describes issues encountered during the design of the LifePebble, particularly related to the ambulatory application environment, and describes techniques developed to ensure reliable operation under such conditions.
A New Measure of Entropy for Vague Set
Authors: TianZhi Li
Venue: Proceedings of the 2009 WRI Global Congress on Intelligent Systems - Volume 01 (2009)

Vague set theory has become well-established as a mechanism for uncertainty management in a wide variety of applications. In this paper, some existing entropy measures for vague sets are analyzed and some counter-intuitive examples for these methods are also presented. By taking into account the three parameters describing a vague set, a new method to calculate the entropy of vague sets is proposed. The proposed method overcomes the weaknesses of existing entropy methods. Furthermore, some new properties of this method are also given. The proposed method is shown to be more reasonable than the existing methods.
On the Performance of Military Distributed Information Systems: A Software Architect's Perspective on Quality of Service for Military Distributed Applications
Authors: Eric Dorion
Venue:  (2009)

Military coalition operations impose stringent requirements of interoperability on military information systems. Assembling heterogeneous systems into distributed information systems poses many challenges to the software architects, notably on the question of overall performance from the users' perspective. This thesis reflects on the problem of ensuring performance in military distributed applications. Of particular interest to this work are the aspects of military performance metrics or measures of merit, the implementation aspects of such measures into the formal CORBA distributed software specification, the performance architectures offered by quality of service and UML performance modeling aspects. It is hoped that the notions discussed in this work will enable software architects in their difficult task of unifying information systems together. 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
Sketch Learning Environment with Diagnosis and Drawing Guidance from Rough Form to Detailed Contour Form
Authors: Masato Soga, Shota Kuriyama, Hirokazu Taki
Venue: Proceedings of the 4th International Conference on E-Learning and Games: Learning by Playing. Game-based Education System Design and Development (2009)

There exist many systems and software that support drawing or painting on computers. However, learning support for drawing or painting is a task that differs from drawing support or painting support. Functions for diagnosis and advice are required for learning support. Our project was the first learning environment that could diagnose a learner's sketch and then provide advice.
Sniffer Channel Selection for Monitoring Wireless LANs
Authors: Yuan Song, Xian Chen, Yoo-Ah Kim, Bing Wang, Guanling Chen
Venue: Proceedings of the 4th International Conference on Wireless Algorithms, Systems, and Applications (2009)

Wireless sniffers are often used to monitor APs in wireless LANs (WLANs) for network management, fault detection, traffic characterization, and optimizing deployment. It is cost effective to deploy single-radio sniffers that can monitor multiple nearby APs. However, since nearby APs often operate on orthogonal channels, a sniffer needs to switch among multiple channels to monitor its nearby APs. In this paper, we formulate and solve two optimization problems on sniffer channel selection. Both problems require that each AP be monitored by at least one sniffer. In addition, one optimization problem requires minimizing the maximum number of channels that a sniffer listens to, and the other requires minimizing the total number of channels that the sniffers listen to. We propose a novel LP-relaxation based algorithm, and two simple greedy heuristics for the above two optimization problems. Through simulation, we demonstrate that all the algorithms are effective in achieving their optimization goals, and the LP-based algorithm outperforms the greedy heuristics.
Avoiding Segmentation in Multi-Digit Numeral String Recognition by Combining Single and Two-Digit Classifiers Trained without Negative Examples
Authors: Dan Ciresan
Venue: Proceedings of the 2008 10th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (2008)

The objective of the present work is to provide an efficient technique for off-line recognition of handwritten numeral strings. It can be used in various applications, like postal code recognition or information extraction from fields of different forms. The proposed solution uses Convolutional Neural Networks (CNNs) to implement two classifiers, one for digit recognition and one for numeral strings composed from two digits partially overlapped. Both classifiers are trained without negative examples. By comparing the results of the classifiers it can decide if the image contains one digit or two partially overlapped digits. The use of the two-digit strings classifier completely relieves our method from the usage of segmentation. The method is evaluated on a well-known numeral strings database -NIST Special Database 19- and the results are comparable with the best results from literature, even if those are using elaborate segmentation and training with negative examples.
3D Multi-view Autostereoscopic Display and Its Key Technologie
Authors: Yuhua Zhu, Tong Zhen
Venue: Proceedings of the 2009 Asia-Pacific Conference on Information Processing - Volume 02 (2009)

multi-view autostereoscopic three-dimensional (3D) display has been one of the most popular research issues in the world. And 3D displays are classified into two types: stereoscopic 3D display and autostereoscopic 3D display. The former includes head mount system, anaglyph system, polarized filter system, field sequential system and so on. The latter is also called true 3D display, it provides 3D perception without the need for special glasses or other head gear. In this paper we research on the multi-view autostereoscopic 3D display. Focusing on the multi-view stereoscopic 3D key technologies, the latest international development trends and existing problems is analyzed. a multi-view stereoscopic display system, related key technologies are detailed, which includes: Light field representation model and light field capturing system, high efficiency multi-view video coding and transmission method compatible with current video standard, high efficiency rendering method for arbitrary position view at the decoder, 3D display technologies and multi-view autostereoscopic display.
Shot Type Classification in Sports Video Based on Visual Attention
Authors: Congyan Lang, De Xu, Yiwei Jiang
Venue: Proceedings of the 2009 International Conference on Computational Intelligence and Natural Computing - Volume 01 (2009)

In this paper, we present a new method for classifying shot type in sports video based on visual attention. The problem is important for applications such as video structure analysis and content understanding. In particular, two-stage off-line learning processes perform knowledge extraction of semantic concepts and automatic shot classification, respectively. In the first stage, the extracted prominent regions are used as a good pattern in semantic concept level. Then a number of global features are defined as efficient input of the shot type classifier in the second stage. The identification of semantic concepts and classification of shot are based on human visual system. Hence, this framework can adequately capture the uncertainty or ambiguity of scales of a shot. Experimental results show the excellent performance of the approach.
Direct Torque Control Technique for Drive System Fed on Three-Level Inverter
Authors: Jinsong Kang, Ying Wu, Yonggan Xu
Venue: Proceedings of the 2009 IITA International Conference on Control, Automation and Systems Engineering (case 2009) (2009)

Direct Torque Control (DTC) has the characters such as combined simplicity and robustness with excellent performance of torque control for the drive system. A DTC technique for drive system fed on three-level inverter and induction motor is presented, which means to select and compose right voltage vectors varying from speed working inconstant torque area . The mathematic and simulation models of this style drive system were presented and analyzed. The simulation results confirm that the control method is very effective in optimizing the frequency of switching devices, balancing the neutral point voltage of three-level inverter, and improving drive system performance.
Particle Filters Based Fault Diagnosis for Internal Sensors of Mobile Robots
Authors: Zhuohua Duan, Zixing Cai
Venue: Proceedings of the 2009 International Conference on Measuring Technology and Mechatronics Automation - Volume 01 (2009)

Fault diagnosis is a challengeable problem for wheeled mobile robots (WMRs). In this paper, domain constrains and particle filters are integrated to diagnose faults of internal sensors of WMR’s. The domain constrains are used employed to determine the states of the movement of a wheel mobile robot, MORCS-1, and every movement state is monitored with an adaptive particle filter, which adjust the particle numbers according to the size of state space. The paper presents a general framework to combine domain knowledge with particle filters. The key advantage of the proposed method is that it decreases the size of the state space for each particle filter. As a result, it decreases particle number and increases efficiency and accuracy for each particle filter. Experiment performed on a mobile robot shows the improvement in accuracy and efficiency.
SONKULE: SNS Based Knowledge Awareness in Ubiquitous Environment
Authors: Chengjiu Yin, Yoshiyuki Tabata, Hiroaki Ogata
Venue: Proceedings of the 2009 WASE International Conference on Information Engineering - Volume 02 (2009)

In this paper, we propose a collaborative learning service in ubiquitous environment for social networking service (SNS). The main characteristic of the service is that the users use the service to search the person who can solve the problem, and an appropriate request chain of friends (CF) will be recommended, upon their request. It allows the members to interact and expand the network of friendship. It provides the Knowledge Awareness (KA) to enhance and collaborative learning and support the sharing and creation of the knowledge.
Master's Degrees in Software Engineering: An Analysis of 28 University Programs
Authors: Arthur Pyster, Richard Turner, Devanandham Henry, Kahina Lasfer, Larry Bernstein
Venue: IEEE Software (2009)

The Software Engineering Institute published the last reference curriculum for a master's in software engineering in 1991. In 2007, a coalition from academia, industry, and government began creating a new reference curriculum. An early step was to establish a baseline of graduate education by surveying 28 master's programs in software engineering. The survey was largely limited to US schools. Key findings showed that the universities viewed software engineering largely as a specialization of computer science, that faculty size is generally small with few dedicated professors, and that new master's programs continue to start despite the decrease in computer science majors over the past few years. We used the IEEE Computer Society's Software Engineering Body of Knowledge (SWEBOK) to structure our analysis of the 28 curricula, focusing primarily on courses and topics required or semirequired of all students. (A course is semirequired if there is at least a 50 percent chance a student must take it.) Major findings show wide variation in the depth and breadth of SWEBOK coverage in required and semirequired courses, less than 40 percent of all programs requiring an introductory course on software engineering, and many universities having required and semirequired courses that are peripheral to SWEBOK.
Mobile Sinks for Information Retrieval from Cluster-Based WSN Islands
Authors: Grammati Pantziou, Aristides Mpitziopoulos, Damianos Gavalas, Charalampos Konstantopoulos, Basilis Mamalis
Venue: Proceedings of the 8th International Conference on Ad-Hoc, Mobile and Wireless Networks (2009)

Mobile sinks (MS) mounted upon urban vehicles with fixed trajectories (e.g. buses) provide the ideal infrastructure to effectively retrieve sensory data from isolated Wireless Sensor Network (WSN) fields. Existing approaches involve either single-hop transfer of data from sensors that lie within the MS's range or heavy involvement of network periphery nodes in data retrieval, processing, buffering and delivering tasks. These nodes run the risk of rapid energy exhaustion resulting in loss of network connectivity. Our proposed protocol aims at minimizing the overall network overhead and energy expenditure associated with the multi-hop data retrieval process while also ensuring balanced energy consumption among network nodes and prolonged network lifetime. This is achieved through building cluster structures consisted of member nodes that route their measured data to their assigned cluster head (CH). CHs perform data filtering upon raw data exploiting potential spatial-temporal data redundancy and forward the filtered information to appropriate end nodes.
In-Network Historical Data Storage and Query Processing Based on Distributed Indexing Techniques in Wireless Sensor Networks
Authors: Chunyu Ai, Ruiying Du, Minghong Zhang, Yingshu Li
Venue: Proceedings of the 4th International Conference on Wireless Algorithms, Systems, and Applications (2009)

Most of existing data processing approaches of wireless sensor networks are real-time. However, historical data of wireless sensor networks are also significant for various applications. No previous study has specifically addressed distributed historical data query processing. In this paper, we propose an Index based Historical Data Query Processing scheme which stores historical data locally and processes queries energy-efficiently by using a distributed index tree. The simulation study shows that our scheme achieves good performance on both query responding delay and network traffic.
Fast Salient Object Detection Based on Segments
Authors: Liansheng Zhuang, Ketan Tang, Nenghai Yu, Yangchun Qian
Venue: Proceedings of the 2009 International Conference on Measuring Technology and Mechatronics Automation - Volume 01 (2009)

In this paper we propose a novel salient object detection algorithm based on segments, named SODS (Salient Object Detection based on Segments). We first segment an input image, and then extract a set of features including multi-scale contrast, center-surround histogram, and color spatial distribution based on segments to describe a salient object locally, regionally, and globally. These three features are then combined linearly to get a saliency map to represent the salient object. We validate our approach on two public datasets. Experimental results prove that our method is much faster, more robust and accurate than existing salient object detection methods.
An Improved Differential Evolution (IDE) Based on Double Populations for Cylindrical Grinding Optimization
Authors: Nanyan Shen, Yongyi He, Jing Li, Minglun Fang
Venue: Proceedings of the 2009 International Conference on Measuring Technology and Mechatronics Automation - Volume 02 (2009)

This paper is concerned with optimization of a twostagecylindrical grinding cycle to enhance production ratesubjected to surface finish for rough grinding and to reduce surface roughness under constraint of production rate for finish grinding. In addition, the minimum production cost is also desired for both stages and the common constraints of both stages are thermal damage, wheel wear parameter and grinding stabilization requirement. An improved DE based on double populations is introduced to optimize this grinding operation and the optimal results are compared with the results obtained by the original DE algorithm.
An unsupervised approach for bootstrapping Arabic sense tagging
Authors: Mona T. Diab
Venue: Proceedings of the Workshop on Computational Approaches to Arabic Script-based Languages (2004)

To date, there are no WSD systems for Arabic. In this paper we present and evaluate a novel unsupervised approach, SALAAM, which exploits translational correspondences between words in a parallel Arabic English corpus to annotate Arabic text using an English WordNet taxonomy. We illustrate that our approach is highly accurate in &le; 90.1% of the evaluated data items based on Arabic native judgement ratings and annotations. Moreover, the obtained results are competitive with state-of-the-art unsupervised English WSD systems when evaluated on English data.
Synthesis of Non-Interferent Timed Systems
Authors: Gilles Benattar, Franck Cassez, Didier Lime, Olivier H. Roux
Venue: Proceedings of the 7th International Conference on Formal Modeling and Analysis of Timed Systems (2009)

In this paper, we focus on the synthesis of secure timed systems which are given by timed automata. The security property that the system must satisfy is a non-interference property. Various notions of non-interference have been defined in the literature, and in this paper we focus on Strong Non-deterministic Non-Interference (SNNI) and we study the two following problems: (1) check whether it is possible to enforce a system to be SNNI; if yes (2) compute a sub-system which is SNNI.
Proceedings of the ACL Workshop on Computational Approaches to Semitic Languages
Venue: ACL Workshops (2005)

Welcome to the ACL 2005 Workshop on Computational Approaches to Semitic Languages. This workshop is a sequel to the ACL 2002 workshop and shares its goals of: (i) heightening awareness amongst Semitic-language researchers of shared breakthroughs and challenges, (ii) highlighting issues common to all Semitic languages as much as possible, (iii) encouraging the potential for developing coordinated approaches; and (iv) in addition, leveraging resource and tool creation for less prominent members of the Semitic language family. We received 21 submissions, we accepted 12. The accepted papers cover several languages: Modern Standard Arabic, Dialectal Arabic, Hebrew, and Amharic. They cover a span of topics in computational linguistics, from morphological analysis and disambiguation and diacritization to information retrieval and document classification using both symbolic and statistical approaches.
Towards natural language understanding of partial speech recognition results in dialogue systems
Authors: Kenji Sagae, Gwen Christian, David DeVault, David R. Traum
Venue: Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Companion Volume: Short Papers (2009)

We investigate natural language understanding of partial speech recognition results to equip a dialogue system with incremental language processing capabilities for more realistic human-computer conversations. We show that relatively high accuracy can be achieved in understanding of spontaneous utterances before utterances are completed.