ppxscal/embedding_network huggingface dataset:
Human and machine effects in a just-in-time scheduling problem
Authors: Tamer Eren
Venue: Human Factors in Ergonomics Manufacturing (2009)

In this article, single-machine scheduling problems with learning effects of setup and removal times and deterioration effects of processing time are considered. The objective function of the problem is minimization of the weighted sum of total earliness and total tardiness. To get an exact solution to the problem, a mathematical programming model is proposed. Also the model is tested on an example. To the best of our knowledge, no work exists in the literature that considers the problem presented in this article. &copy; 2009 Wiley Periodicals, Inc. 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
Feedback Micro-engineering in EER-Tutor
Authors: Konstantin Zakharov, Antonija Mitrovic, Stellan Ohlsson
Venue: Proceeding of the 2005 conference on Artificial Intelligence in Education: Supporting Learning through Intelligent and Socially Informed Technology (2005)

Although existing educational systems are based on various learning theories, these theories are rarely used when developing feedback. Our research is based on the theory of learning from performance errors, which suggests that feedback should provide long and short-term learning advantages through revision of faulty knowledge in the context of learners' errors. We hypothesized that principled, theory-based feedback would have a positive impact on learning. To test the hypothesis we performed an experiment with EER-Tutor, an intelligent tutoring system that teaches database design. The results of the study support our hypothesis: the students who learned from theory-based feedback had a higher learning rate than their peers. We conclude that learning theories should be used to formulate design guidelines for effective feedback.
Information System in Security Area Using Semantic Approach
Authors: Ladislav Buřita, Vojtěch Ondryhal
Venue: Proceeding of the 2009 conference on Information Modelling and Knowledge Bases XX (2009)

The article presents results of an international project in the semantic approach to the information system development in security area. The aim of the project is the verification of semantic possibilities based on commercial software. The thesauri design and verification using document base and analytical SW is described, as well as UML applied to an ontology modelling. An ontology was implemented in ITM and IS was verified.
MCSE Guide to Microsoft Windows Server 2003 Active Directory, Enhanced, 3rd edition
Authors: Mike Aubert, Brian T. McCann
Venue: Networking Course Technology (2008)

This full-color hands-on guide book has been enhanced to make learning even easier by offering more detailed lab setup instructions, expanded chapter summaries, and new practice exams that will reinforce the skills learned.
Communication Control and Support for Scheduled Collaborative E-Learning
Authors: Freimut Bodendorf, Manfred Schertler
Venue: Proceeding of the 2005 conference on Towards Sustainable and Scalable Educational Innovations Informed by the Learning Sciences: Sharing Good Practices of Research, Experimentation and Innovation (2005)

A communication model and a support system for so called scheduled learning in e-learning scenarios are presented. Scheduled learning is a new paradigm that is mainly based on a tight time structure (schedule) of an e-learning process. The term 'scheduled' refers to a precise and detailed placement of learning and teaching acts within one education arrangement. Numerous scheduled learning scenarios have been analysed. As a result, a set of elementary communication patterns has been discovered and shaped. Based on these communication patterns and corresponding communication technology, reference communication processes can be created to be carried out depending on the chosen teaching method. A support system helps to control and monitor these processes.
Fixing the Beating Heart: Ultrasound Guidance for Robotic Intracardiac Surgery
Authors: Robert D. Howe
Venue: Proceedings of the 5th International Conference on Functional Imaging and Modeling of the Heart (2009)

To treat defects within the heart, surgeons currently use stopped-heart techniques. These procedures are highly invasive and incur a significant risk of neurological impairment. We are developing methods for performing surgery within the heart while it is beating. New real-time 3-D ultrasound imaging allows visualization through the opaque blood pool, but this imaging modality poses difficult image processing challenges, including poor resolution, acoustic artifacts, and data rates of 30 to 40 million voxels per second. To track instruments within the heart we have developed a Radon transform-based algorithm, which is readily implemented in real-time on graphics processor units. For manipulation of rapidly moving cardiac tissue we have created a fast robotic device that can track the tissue based on ultrasound image features. This allows the surgeon to interact with the heart as if it was stationary. To integrate ultrasound imaging with the robotic device we have developed a predictive controller that compensates for the 50-100 ms imaging and image processing delays to ensure good tracking performance. Our in vitro studies show that this approach enhances dexterity and lowers applied forces. In vivo applications of this technology in atrial septal defect closure and mitral valve annuloplasty procedures demonstrate the potential for improved patient outcomes.
Handover Incentives for WLANs with Overlapping Coverage
Authors: Xenofon Fafoutis, Vasilios A. Siris
Venue: Proceedings of the 7th International Conference on Wired/Wireless Internet Communications (2009)

It is well known that in IEEE 802.11 networks, the assignment of low-rate and high-rate users to the same access point significantly degrades the performance of the high-rate users. Our objective is to investigate the implications of the above performance degradation on the incentives for handover between 802.11 wireless local area networks with overlapping coverage. Our focus is on the incentives for supporting handovers, due solely to the improved performance handovers yield for both wireless networks. To study the phenomenon and estimate the potential gain of such handovers, we propose a simple model that predicts the throughput of each access point in different cases. The throughput approximation model can indicate when the handover is expected to be beneficial, and can be used in a handover acceptance policy. Simulation of the proposed procedure suggests that the model is accurate and that there are significant throughput gains for both wireless networks.
Parallel Memory Architecture for Application-Specific Instruction-Set Processors
Authors: Teemu Pitkänen, Jarno K. Tanskanen, Risto Mäkinen, Jarmo Takala
Venue: Journal of Signal Processing Systems (2009)

Many of the current applications used in battery powered devices are from digital signal processing, telecommunication, and multimedia domains. These applications typically set high requirements for computational performance and often parallelism is the key solution to meet the performance requirements. In order to exploit the parallel processing units, memory should be able to feed the data path with data. This calls for a memory organization supporting parallel memory accesses. In this paper, a conflict resolving parallel data memory system for application-specific instruction-set processors is described. The memory structure is generic and reusable to support various application-specific designs. The proposed memory system does not employ any predefined access format signals for memory addressing. The proposed parallel memory system is attached to an application-specific instruction-set processor core and comparison on area, power, and critical path are shown. The experiments show that significant power savings can be obtained by exploiting the parallel memory system instead of multi-port memory.
The finite volume element method for the pollution in groundwater flow
Authors: Xueke Wu, Zhiyue Zhang
Venue: Neural, Parallel Scientific Computations (2008)

In this paper, we use the finite volume element method to solve the mathematic model of one kind of ion reactions for the problem of groundwater in 2-space variables. Piecewise quadratic trial functions and piecewise constant test functions are used to finally obtain error estimate in L2norms and H1norms. Numerical results that confirm the efficiency of our methods are presented.
Disaster recovery mechanism using widely distributed networking and secure metadata handling technology
Authors: Yoichiro Ueno, Noriharu Miyaho, Shuichi Suzuki
Venue: Proceedings of the 4th edition of the UPGRADE-CN workshop on Use of P2P, GRID and agents for the development of content networks (2009)

An innovative mechanism of a file-backup system concept is discussed. In the proposed file backup mechanism, the combination of the following technologies such as a spatial random scrambling of file data, a subsequent random fragmentation of the file, the corresponding encryption and duplication for each fragmented one by using a stream cipher in each encryption stage, and the corresponding notification of the history data of the used encryption key code sequence which we call metadata in addition can effectively realize the highly secure and prompt file backup system economically only when they are combined at the same time. In case of disaster occurrences in data backup center, the prompt data recovery can be easily and securely achieved by making use of a widely distributed great amount of PCs or cellular phones via several supervisory servers which are secretly diversified and functionally combined mutually. This paper proposes the above mentioned state-of-the art hybrid disaster recovery mechanism and its basic characteristics.
A flexible tolerance genetic algorithm for optimal problems with nonlinear equality constraints
Authors: Wanfeng Shang, Shengdun Zhao, Yajing Shen
Venue: Advanced Engineering Informatics (2009)

A hybrid method called a flexible tolerance genetic algorithm (FTGA) is proposed in this paper to solve nonlinear, multimodal and multi-constraint optimization problems. This method provides a new hybrid strategy that organically merges a flexible tolerance method (FTM) into an adaptive genetic algorithm (AGA). AGA is to generate an initial population and locate the ''best'' individual. FTM, serving as one of the AGA operators, exploits the promising neighborhood individual by a search mechanism and minimizes a constraint violation of an objective function by a flexible tolerance criterion for near-feasible points. To evaluate the efficiency of the hybrid method, we apply FTGA to optimize four complex functions subject to nonlinear inequality and/or equality constraints, and compare these results with the results supplied by AGA. Numerical experiments indicate that FTGA can efficiently and reliably achieve more accurate global optima of complex, nonlinear, high-dimension and multimodal optimization problems subject to nonlinear constraints. Finally, FTGA is successfully implemented for the optimization design of a crank-toggle mechanism, which demonstrates that FTGA is applicable to solve real-world problems.
Construction of domain dictionary for fundamental vocabulary
Authors: Chikara Hashimoto, Sadao Kurohashi
Venue: Proceedings of the 45th Annual Meeting of the ACL on Interactive Poster and Demonstration Sessions (2007)

For natural language understanding, it is essential to reveal semantic relations between words. To date, only the IS-A relation has been publicly available. Toward deeper natural language understanding, we semi-automatically constructed the domain dictionary that represents the domain relation between Japanese fundamental words. This is the first Japanese domain resource that is fully available. Besides, our method does not require a document collection, which is indispensable for keyword extraction techniques but is hard to obtain. As a task-based evaluation, we performed blog categorization. Also, we developed a technique for estimating the domain of unknown words.
Secure efficient geocast protocol for sensor networks with malicious nodes
Authors: Young-Chul Shim
Venue: Proceedings of the 8th WSEAS international conference on Electronics, hardware, wireless and optical communication (2009)

Geocast sends packets to all sensor nodes within a specified geographical region in order to gather data from sensor nodes in that region and is an important mechanism in sensor networks. In this paper we first introduce a new geocast protocol. The proposed protocol builds a multicast tree connecting geocast nodes using an energy efficient broadcasting technique without making any restrictions on the shape of the geocast region. The proposed protocol reduces the energy consumption during the phase of sending commands to the sensor nodes in a geocast region and also facilitates in-network data aggregation and, therefore, saves energy during the phase of reporting sensor data. Then we modify the proposed protocol to include security mechanisms to protect the multicast tree and data being transferred over this tree not only from outside attackers but also compromised insider attackers.
Learning Functional Object-Categories from a Relational Spatio-Temporal Representation
Authors: Muralikrishna Sridhar, Anthony G. Cohn, David C. Hogg
Venue: Proceeding of the 2008 conference on ECAI 2008: 18th European Conference on Artificial Intelligence (2008)

We propose a framework that learns functional object-categories from spatio-temporal data sets such as those abstracted from video. The data is represented as one activity graph that encodes qualitative spatio-temporal patterns of interaction between objects. Event classes are induced by statistical generalization, the instances of which encode similar patterns of spatio-temporal relationships between objects. Equivalence classes of objects are discovered on the basis of their similar role in multiple event instantiations. Objects are represented in a multidimensional space that captures their role in all the events. Unsupervised learning in this space results in functional object-categories. Experiments in the domain of food preparation suggest that our techniques represent a significant step in unsupervised learning of functional object categories from spatio-temporal patterns of object interaction.
An Effective Hybrid GA---PP Strategy for Artificial Neural Network Ensemble and Its Application Stock Market Forecasting
Authors: Chunmei Wu, Jiansheng Wu
Venue: Proceedings of the 6th International Symposium on Neural Networks: Advances in Neural Networks - Part II (2009)

The learning and generalizing ability of artificial neural network dependents on the particular training set. In this study, a novel hybrid GA---PP strategy for neural network ensemble model is proposed for stock market forecasting. First of all, we use the Projection Pursuit Technology based on Genetic Algorithms optimized to extract input factors, and then many individual neural networks are generated by Bagging techniques and different training way. Secondly, Projection Pursuit Technology based on Genetic Algorithm is used to select appropriate ensemble members. Finally, the logistic regress method is used for neural network ensemble. This method is established to forecast the Shanghai Stock Exchange index. The result shows that the ensemble network has reinforced the learning capacities and generalizing ability.
An edge-bubble stabilized finite element method for fourth-order parabolic problems
Authors: Tae-Yeon Kim, John E. Dolbow
Venue: Finite Elements in Analysis and Design (2009)

We develop an edge-bubble stabilized finite element method for fourth-order parabolic problems. The method begins with a non-conforming approach, in which C^0 basis functions are used to approximate the coarse scale of the bulk field. Continuity of function derivatives is enforced at element edges with Lagrange multipliers. The fine-scale bulk field is approximated with higher order edge-bubbles that are held fixed over time slabs, providing for static condensation and an elimination of the multipliers. The resulting formulation shares several common features with recent non-conforming approaches based on Nitsche's method, albeit with the important difference that stability terms follow automatically from the approximation to the fine scale. As an application, we consider the problem of plane Poiseuille flow for a second-gradient fluid. Convergence studies provided for the case of steady flow indicate synchronous rates of convergence in L^2 and H^1 error norms. Some new time-dependent results for the second-gradient theory are also provided.
A methodology for extracting temporal properties from sensor network data streams
Authors: Dimitrios Lymberopoulos, Athanasios Bamis, Andreas Savvides
Venue: Proceedings of the 7th international conference on Mobile systems, applications, and services (2009)

The extraction of temporal characteristics from sensor data streams can reveal important properties about the sensed events. Knowledge of temporal characteristics in applications where sensed events tend to periodically repeat, can provide a great deal of information towards identifying patterns, building models and using the timing information to actuate and provide services. In this paper we outline a methodology for extracting the temporal properties, in terms of start time and duration, of sensor data streams that can be used in applications such as human, habitat, environmental and traffic monitoring where sensed events repeat over a time window. Its application is demonstrated on a 30-day dataset collected from one of our assisted living sensor network deployments.
Video Broadcasting to Heterogeneous Mobile Devices
Authors: Cheng-Hsin Hsu, Mohamed Hefeeda
Venue: Proceedings of the 8th International IFIP-TC 6 Networking Conference (2009)

We study the problem of broadcasting multiple scalable video streams to heterogeneous mobile devices, which have limited energy budgets. We show that scalable video streams should be broadcast in a different manner than nonscalable streams; otherwise energy of mobile devices could be wasted. We propose an efficient broadcast scheme for mobile TV networks that explicitly supports heterogeneous mobile devices, and we show its correctness as well as performance in terms of energy saving. We implement the proposed scheme in a real mobile TV testbed to evaluate its performance. Our results indicate that, with the proposed broadcast scheme, significant energy savings can be achieved by different heterogeneous devices. For example, using the proposed broadcast scheme allows mobile devices to achieve energy saving between 62% to 92%, while using the current broadcast scheme only allows them to achieve energy saving 62% despite how many layers they can (or opt to) receive and decode.
A novel economical duty cycle division multiplexing with electrical multiplexer and demultiplexer for optical communication systems
Authors: G. A. Mahdiraji, A. Malekmohammadi, A. F. Abas, M. Mokhtar, M. K. Abdullah
Venue: International Journal of Information and Communication Technology (2009)

Duty cycle division multiplexing (DCDM) is proposed as an alternative multiplexing technique. In this technique, the channel multiplexing and demultiplexing are performed electrically. This technique allows aggregate bit rate to be recovered at the single channel bit rate, which is very economic. In this paper, we examine three channels system where each channel operates at 10 Gb&#47;s over a single optical carrier. Performance of the system is evaluated based on back-to-back receiver sensitivity, optical signal-to-noise ratio (OSNR) and chromatic dispersion tolerance. The performance comparison is made against return-to-zero (RZ) format. The results show that, DCDM can support higher amount of chromatic dispersion than that RZ. At 3 &#215; 40 Gb&#47;s, a receiver sensitivity and OSNR of &minus;16.8 dBm and 34.6 dB is respectively required for the worst DCDM channel.
Master VISUALLY Dreamweaver CS3 and Flash CS3 Professional
Authors: Sherry Kinkoph Gunter, Janet Valade
Venue:  (2007)

Heres the intermediate-to-advanced-level Dreamweaver and Flash reference that shows you how instead of telling you why. Hundreds of succinctly captioned, step-by-step screen shots reveal how to accomplish more than 340 Dreamweaver CS3 and Flash CS3 Professional tasks. Learn to set up a Dreamweaver site, synchronize local and remote sites, insert and resize images, create hyperlinks, tables, and forms, format with layers and style sheets, add objects and graphics with Flash, use animation and special effects, and much more.
Analysis and improvement of the genetic discovery component of XCS
Authors: Sergio Morales-Ortigosa, Albert Orriols-Puig, Ester Bernadó-Mansilla
Venue: International Journal of Hybrid Intelligent Systems (2009)

XCS is a learning classifier system that uses genetic algorithms to evolve a population of classifiers online. When applied to classification problems described by continuous attributes, XCS has demonstrated to be able to evolve classification models - represented as a set of independent interval-based rules - that are, at least, as accurate as those created by some of the most competitive machine learning techniques such as C4.5. Despite these successful results, analyses of how the different genetic operators affect the rule evolution for the interval-based rule representation are lacking. This paper focuses on this issue and conducts a systematic experimental analysis of the effect of the different genetic operators. The observations and conclusions drawn from the analysis are used as a tool for designing new operators that enable the system to extract models that are more accurate than those obtained by the original XCS scheme. More specifically, the system is provided with a new discovery component based on evolution strategies, and a new crossover operator is designed for both the original discovery component and the new one based on evolution strategies. In all these cases, the behavior of the new operators are carefully analyzed and compared with the ones provided by original XCS. The overall analysis enables us to supply important insights into the behavior of different operators and to improve the learning of interval-based rules in real-world domains on average.
Photoshop CS4 for Nature Photographers: A Workshop in a Book
Authors: Ellen Anon, Josh Anon
Venue:  (2009)

Using field-tested methods and practical instruction in both Photoshop and Photoshop Elements, this book reveals eye-opening techniques, terrific workflow ideas, and timesaving ways to apply a broad array of Photoshop tools to optimize digital images of nature. Youll encounter spectacular photographs from exotic places around the world shot by the authors, as well as tips and examples from some of the most esteemed professional nature photographers. In addition, the CD-ROM includes more than 60 minutes of video training as well as sample images to help you practice the techniques featured in the book.