ppxscal/embedding_network huggingface dataset:
Challenge: ultra-low-power energy-harvesting active networked tags (EnHANTs)
Authors: Maria Gorlatova, Peter Kinget, Ioannis Kymissis, Dan Rubenstein, Xiaodong Wang, Gil Zussman
Venue: Proceedings of the 15th annual international conference on Mobile computing and networking (2009)

This paper presents the design challenges posed by a new class of ultra-low-power devices referred to as Energy-Harvesting Active Networked Tags (EnHANTs). EnHANTs are small, flexible, and self-reliant (in terms of energy devices that can be attached to objects that are traditionally not networked (e.g., books, clothing, and produce), thereby providing the infrastructure for various novel tracking applications. Examples of these applications include locating misplaced items, continuous monitoring of objects (items in a store, boxes in transit), and determining locations of disaster survivors. Recent advances in ultra-low-power wireless communications, ultra-wideband (UWB) circuit design, and organic electronic harvesting techniques will enable the realization of EnHANTs in the near future. In order for EnHANTs to rely on harvested energy, they have to spend significantly less energy than Bluetooth, Zigbee, and IEEE 802.15.4a devices. Moreover, the harvesting components and the ultra-low-power physical layer have special characteristics whose implications on the higher layers have yet to be studied (e.g., when using ultra-low-power circuits, the energy required to receive a bit is an order of magnitude higher than the energy required to transmit a bit). These special characteristics pose several new cross-layer research problems. In this paper, we describe the design challenges at the layers above the physical layer, point out relevant research directions, and outline possible starting points for solutions.
Selecting Computer Architectures by Means of Control-Flow-Graph Mining
Authors: Frank Eichinger, Klemens Böhm
Venue: Proceedings of the 8th International Symposium on Intelligent Data Analysis: Advances in Intelligent Data Analysis VIII (2009)

Deciding which computer architecture provides the best performance for a certain program is an important problem in hardware design and benchmarking. While previous approaches require expensive simulations or program executions, we propose an approach which solely relies on program analysis. We correlate substructures of the control-flow graphs representing the individual functions with the runtime on certain systems. This leads to a prediction framework based on graph mining, classification and classifier fusion. In our evaluation with the SPEC CPU 2000 and 2006 benchmarks, we predict the faster system out of two with high accuracy and achieve significant speedups in execution time.
A Banknote Orientation Recognition Method with BP Network
Authors: Qinghong Wu, Ying Zhang, Zongmin Ma, Zhongmin Wang, Bin Jin
Venue: Proceedings of the 2009 WRI Global Congress on Intelligent Systems - Volume 04 (2009)

A banknote orientation recognition method is introduced in the paper. In order to avoid dealing with large numbers of image pixels and reduce calculation, the banknote image is divided into several blocks. And then, neural network is applied to establish a universal recognition method. Different banknote can get corresponding model through BP network that is introduced in detail in the paper.
Automatic Labeling of Semantic Role on Chinese FrameNet Using Conditional Random Fields
Authors: Jihong Li, Ruibo Wang, Weilin Wang, Bo Gu, Guochen Li
Venue: Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 03 (2009)

Given an input sentence and a target word and its frame, automatic semantic role labeling on the Chinese FrameNet (CFN) database can be divided into two subtasks. One is identification of the boundaries of semantic roles, and the other is the classification of semantic roles. In this paper, the tasks are regarded as a sequential tagging problem in the sentence at word-level, so the model of conditional random fields was adopted. The best feature templates of the model were chosen by applying orthogonal arrays. The training and testing data sets consist of the sample sentences of 25 frames selected from the current CFN corpus. The experimental results in our test data set show that the F-measure for identifying boundaries of semantic roles reached 70.42\%, and the accuracy in classifying semantic roles achieved 80.4\%, but when the two subtasks were sequential automatically processed, the result was 59.48\% F-measure.
Increasing the Reliability of High Redundancy Actuators by Using Elements in Series and Parallel
Authors: Thomas Steffen, Frank Schiller, Michael Blum, Roger Dixon
Venue: Proceedings of the 28th International Conference on Computer Safety, Reliability, and Security (2009)

A high redundancy actuator (HRA) is composed of a high number of actuation elements, increasing both the travel and the force above the capability of an individual element. This provides inherent fault tolerance: if one of the elements fails, the capabilities of the actuator may be reduced, but it does not become dysfunctional. This paper analyses the likelihood of reductions in capabilities. The actuator is considered as a multi-state system, and the approach for k-out-of-n:G systems can be extended to cover the case of the HRA. The result is a probability distribution that quantifies the capability of the HRA. By comparing the distribution for different configurations, it is possible to identify the optimal configuration of an HRA for a given situation.
Properties of h-convex functions related to the Hermite-Hadamard-Fejér inequalities
Authors: Mea Bombardelli, Sanja Varošanec
Venue: Computers Mathematics with Applications (2009)

In this paper we prove the Hermite-Hadamard-Fejer inequalities for an h-convex function and we point out the results for some special classes of functions. Also, some generalization of the Hermite-Hadamard inequalities and some properties of functions H and F which are naturally joined to the h-convex function are given. Finally, applications on p-logarithmic mean and mean of the order p are obtained.
The Interaction between Chinese University Students' Computer Use and Their Attitudes toward Computer in Learning and Innovation
Authors: Ye Liu, Xiaolan Fu
Venue: Proceedings of the 5th International Conference on Foundations of Augmented Cognition. Neuroergonomics and Operational Neuroscience: Held as Part of HCI International 2009 (2009)

A survey study investigated the dynamic interaction between Chinese university students' computer use and their attitudes toward computer in learning and innovation. The relationships among attitudes toward computer in learning (ACL), attitudes toward innovation (ATI), and self-perception on computer skill (SPCS), were also examined. Participants were 292 university students from three universities in Beijing, and all of them had used computer and Internet before. The results showed that: (a) Previous computer use could predict recent computer use with ACL, ATI, and SPCS as mediate variables; (b) males were more confident than females in SPCS, but there was no gender difference in either ACL or ATI; and (c) the participants' notion of innovation was significantly more positive than their innovative action.
Target selection by the frontal cortex during coordinated saccadic and smooth pursuit eye movements
Authors: Krishna Srihasam, Daniel Bullock, Stephen Grossberg
Venue: Journal of Cognitive Neuroscience (2009)

Oculomotor tracking of moving objects is an important component of visually based cognition and planning. Such tracking is achieved by a combination of saccades and smooth-pursuit eye movements. In particular, the saccadic and smooth-pursuit systems interact to often choose the same target, and to maximize its visibility through time. How do multiple brain regions interact, including frontal cortical areas, to decide the choice of a target among several competing moving stimuli? How is target selection information that is created by a bias (e.g., electrical stimulation) transferred from one movement system to another? These saccade-pursuit interactions are clarified by a new computational neural model, which describes interactions between motion processing areas: the middle temporal area, the middle superior temporal area, the frontal pursuit area, and the dorsal lateral pontine nucleus; saccade specification, selection, and planning areas: the lateral intraparietal area, the frontal eye fields, the substantia nigra pars reticulata, and the superior colliculus; the saccadic generator in the brain stem; and the cerebellum. Model simulations explain a broad range of neuroanatomical and neurophysiological data. These results are in contrast with the simplest parallel model with no interactions between saccades and pursuit other than common-target selection and recruitment of shared motoneurons. Actual tracking episodes in primates reveal multiple systematic deviations from predictions of the simplest parallel model, which are explained by the current model.
Coordinating product, process, and supply chain decisions: A constraint satisfaction approach
Authors: Jianxin (Roger) Jiao, Qianli Xu, Zhang Wu, Ngai-Kheong Ng
Venue: Engineering Applications of Artificial Intelligence (2009)

The importance of coordinating product, process, and supply chain (PPSC) decisions has received much attention and popularity in academia and industry alike. This paper formulates PPSC coordination as a factory loading allocation problem (FLAP) from a constraint satisfaction perspective. A domain-based FLAP reference model is proposed for the conceptualization of a multi-site manufacturing supply chain, considering multiple domains, network structures, product characteristics, decision variables, along with various constraints. A decision propagation structure (DPS) incorporating with a connectionist approach is developed based on the concept of constraint heuristic search to facilitate the exploration of solution spaces. A case study in a multi-national company is presented to illustrate the FLAP framework, which implies practical insights into PPSC coordination.
Monitoring End-to-End Quality of Service in a Video Streaming System
Authors: Lassi Lehikoinen, Tomi Raty
Venue: Proceedings of the 2009 Eigth IEEE/ACIS International Conference on Computer and Information Science (2009)

Today’s Internet relies on best-effort delivery in which no guarantees regarding transmission quality are employed. This is problematic in the field of video streaming due to its sensitiveness to transmission quality fluctuations. The ability to measure the experienced level of Quality of Service (QoS) is valuable in streaming applications. By utilizing the information from QoS measurements, the video traffic can be adapted to meet the constraints on the network transmission which improves the perceived playback quality. The endeavor of the research is to review the concept of QoS, to study different QoS monitoring approaches and to construct a system that monitors the experienced end-to-end QoS of several simultaneous video streaming sessions. The research is based on the constructive method of the related publications and technologies and the results are derived by the constructed end-to-end QoS monitoring system.
Towards Session-Aware RBAC Administration and Enforcement with XACML
Authors: Min Xu, Duminda Wijesekera, Xinwen Zhang, Deshan Cooray
Venue: Proceedings of the 2009 IEEE International Symposium on Policies for Distributed Systems and Networks (2009)

An administrative role-based access control (ARBAC) model specifies administrative policies over a role-based access control(RBAC) system, where an administrative permission may change an RBAC policy by updating permissions assigned to roles, or assigning/revoking users to/from roles. Consequently, enforcing ARBAC policies over an active access controller while some users are using protected resources would result in conflicts: a policy may be in effect in the RBAC system while being updated by an ARBAC operation. Towards solving this concurrency problem, we propose a session-aware administrative model for RBAC. We show how the concurrency problem can be resolved by enhancing the eXtensible Access Control Markup Language (XACML) reference implementation.In order to do so, we develop an XACML-ARBAC profile to specify ARBAC policies, and enforce these polices by building an ARBAC enforcement module and a session administrative module. The former synchronizes with the evaluation of access control requests. The latter revokes conflicting ongoing user sessions immediately prior to enforcing administrative operations. Experimental studies show reasonable performance characteristics of our initial enhancement to Sun's reference implementation.
Design and Analysis of Disc Drive Servo-Mechanical Subsystem: Advanced Control System Design Application
Authors: Shirish Bahirat
Venue:  (2009)

Digital servo control plays a significant role in the modern high capacity disc drives by accurately positioning the read write head over a data track, or by moving the head to alternate data tracks. Disc drive involves complex and advanced technologies. This book focuses on the servo mechanical subsystem, it's design and analysis, for a high capacity disc drive digital control system design and includes the overview of the various disc drive components, to mainly solicit the understandings to how such components affect the digital servo controller design requirements, which probably one of the most advanced application of modern linear control system theory. Analysis approach presents proactive resolution for any design issues that might limit the control system performance. 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
Robotic Implementation of Realistic Reaching Motion Using a Sliding Mode/Operational Space Controller
Authors: Adam Spiers, Guido Herrmann, Chris Melhuish, Tony Pipe, Alexander Lenz
Venue: Proceedings of the FIRA RoboWorld Congress 2009 on Advances in Robotics (2009)

It has been shown that a task-level controller with minimal-effort posture control produces human-like motion in simulation. This control approach is based on the dynamic model of a human skeletal system superimposed with realistic muscle like actuators whose effort is minimised. In practical application, there is often a degree of error between the dynamic model of a system used for controller derivation and the actual dynamics of the system. We present a practical application of the task-level control framework with simplified posture control in order to produce life-like and compliant reaching motions for a redundant task. The addition of a sliding mode controller improves performance of the physical robot by compensating for unknown parametric and dynamic disturbances without compromising the human-like posture.
Study on Enhancing Features of Digital Oscilloscope to Measure the Period of Weak FM Signal
Authors: Li Xiaoling, Yin Xing
Venue: Proceedings of the 2009 International Conference on Environmental Science and Information Application Technology - Volume 03 (2009)

This paper studied a method of applying the principle of chaos and neural network to detect FM modulation signal and calculate the period of the modulated signal. Also it advanced a way to enhance the features of digital oscilloscope (DSO) to measure the period of weak FM signal by programming and embedding it to the function database of DSO. According the characteristic of chaotic time serial, neural network selected Elman network, and constructed it while it’s dimensions of input and output were fixed by computing the correlation dimension of the chaotic time serial. Then, making use of the characteristic of identification of space-time of spatio-temporal neural network, it detected directly weak FM signal under chaotic background in chaotic state. Last, it obtained the variational relation of time-amplitude by calculating the frequency-time function. This way break through conventional chaotic measurement principle and is simple to embed in DSO. The experiment testified that it has a widely frequency scope and reliable result.
Evaluation of the bible as a resource for cross-language information retrieval
Authors: Peter A. Chew, Steve J. Verzi, Travis L. Bauer, Jonathan T. McClain
Venue: Proceedings of the Workshop on Multilingual Language Resources and Interoperability (2006)

An area of recent interest in cross-language information retrieval (CLIR) is the question of which parallel corpora might be best suited to tasks in CLIR, or even to what extent parallel corpora can be obtained or are necessary. One proposal, which in our opinion has been somewhat overlooked, is that the Bible holds a unique value as a multilingual corpus, being (among other things) widely available in a broad range of languages and having a high coverage of modern-day vocabulary. In this paper, we test empirically whether this claim is justified through a series of validation tests on various information retrieval tasks. Our results appear to indicate that our methodology may significantly outperform others recently proposed.
Hybrid Traffic Flow Forecasting Model Based on MRA
Authors: Hongqiong Huang, George F. List, Tianhao Tang, Alixandra Demers, Tianzhen Wang
Venue: Proceedings of the 2009 International Conference on Measuring Technology and Mechatronics Automation - Volume 03 (2009)

The presence of complex scaling behavior in traffic makes accurate forecasting of traffic a challenging task. This paper proposes a multi-scale decomposition & reconstruction approach for real-time traffic prediction. The proposed scheme combines the superior characteristics of wavelet neural networks, ARIMA and MRA. This multi-scale decomposition and reconstruction approach can better capture the correlations within traffic flows caused by different mechanisms, which may not be obvious when examining the raw data directly. The proposed hybrid prediction algorithm is applied to real-time traffic data from a large metropolitan area. It is shown that the proposed algorithm generally outperforms traffic prediction using a single prediction model approach and gives more accurate results.
An alternative method for fabricating microcontact printing stamps
Authors: Gaoshan Jing, Joseph P. Labukas, Wenyue Zhang, Susan F. Perry, Shi-Fang Lu, Gregory S. Ferguson, Svetlana Tatic-Lucic
Venue: Microelectronic Engineering (2009)

In this paper, we describe the development of microcontact printing stamps from photopatternable silicone. The photopatternability of this material enables convenient and fast stamp fabrication, and allows rapid patterning of substrates for culturing biological cells. Microcontact printing stamps made of the photopatternable silicone with linewidths as small as 2@mm were fabricated and reliable cell patterning results were obtained by optimizing the stamping process. An optimal stamp surface was obtained by optimizing the photolithographic process. Our successful demonstration of patterning cells using the photopatternable silicone stamps establishes this alternative approach for fabricating microcontact printing stamps.
Patient Standardization Identification as a Healthcare Issue
Authors: Mario Macedo, Pedro Isaías
Venue: Proceedings of the Symposium on Human Interface 2009 on Human Interface and the Management of Information. Information and Interaction. Part II: Held as part of HCI International 2009 (2009)

Healthcare organizations use information systems with several different types of data and user interfaces. The lack of standardization means loss of efficiency and effectiveness. It limits the expected quality of Healthcare services. Some difficulties for this standardization are known. However there are models that can respond to the complexity of this area of science and evolve with the development of knowledge. A problem which is common to several organizations is the lack of automatic identification of patients. Another one is how to solve the problem of having information duplicated in different databases.The purpose of this paper is to show the importance of the standardization of clinical data and the development of unique models of identification that will enable setting unique access keys and the interconnection between all the clinical data.The empowerment of systems that support clinical decision and the use of workflows for treatment plans that involve more than an organization of Healthcare will only be possible if they use standard models, open technologies and unique patient identification.
Towards co-design with users who have autism spectrum disorders
Authors: Peter Francis, Sandrine Balbo, Lucy Firth
Venue: Universal Access in the Information Society (2009)

People with cognitive disorders, such as autism or Asperger&#x2019;s syndrome, face many barriers when being involved in the co-design of information and communications technologies (ICT). Cognitive disorders may require that co-design techniques be modified to fit with individual abilities. Up until recently, with technology design, purpose and use being in the hands of &#x2018;experts&#x2019; there was little opportunity for customisation. However, ICT bring together various threads that make open many new possibilities. Not only are technologies cheaper, more powerful and more available than ever, but now parents, support agencies and people with autism spectrum disorders expect information technologies to be part of their worlds, and they have the capacity to participate in co-design for customisation. However, co-design techniques have not evolved to the extent that they capture this potential democratisation of the ICT. This paper reports on an investigation of the potential to develop a set of guidelines for co-design techniques to enable people with autism spectrum disorders to participate in ICT design.
An Ortho-Rectification Method for Space-Borne SAR Image with Imaging Equation
Authors: Xufei Gao, Xinyu Chen, Ping Guo
Venue: Proceedings of the 5th International on ConferenceUniversal Access in Human-Computer Interaction. Part II: Intelligent and Ubiquitous Interaction Environments (2009)

An ortho-rectification scheme for space-borne Synthetic Aperture Radar (SAR) image is investigated in this paper. It was usually achieved by indirect mapping between real SAR image pixels and the Digital Evaluation Model (DEM) grids. However, the precise orbit data cannot be easily obtained and using the Newton algorithm needs more calculation. In order to reduce the time consumed during iteration and further improving the accuracy of the SAR image, we propose a new ortho-rectification method with imaging equation. It removes the coordinate conversion by uniformly using the World Geodetic System 1984 (WGS-84). Moreover, the initial time of each DEM grid can be set according to the iteration result of its adjacent point. Compared to other methods, such as Collinearity Equation method, it costs less time and makes the SAR image more accurate. It is also much easier to be implemented in practice.
Application of Grey Model in the Prediction of Local Finance Based on the Data Processing
Authors: Shou Jian-Gang, Yin Xian-Jun
Venue: Proceedings of the 2009 Asia-Pacific Conference on Information Processing - Volume 01 (2009)

This paper analyzes the grey theory and sets up a GM (1, 1) model based on the data processing. I use this model to predict the local finance of Zhejiang province and the result proves that the model based on the data processing not only gives a higher precision but also is more sensitive to the change of outer economic situation.