ppxscal/embedding_network huggingface dataset:
Asquare: a powerful evaluation tool for adaptive hypermedia course system
Authors: Javier Bravo, Cesar Vialardi, Alvaro Ortigosa
Venue: Proceedings of the nineteenth ACM conference on Hypertext and hypermedia (2008)

Currently many methods and tools are being developed to support e-Learning courses. On the one hand, they are used to help students. On the other, a few applications are being developed to help course designers and instructors. In addition, the development of this applications is important for improving the performance of the course. Thus, we proposed in this paper to use data mining methods to aid in the designing of adaptive courses and the evaluation of their effectiveness. Lastly, the results of the implementation of our tool and examples of the utility of Data Mining for teachers is given.
Composite kernel learning
Authors: Marie Szafranski, Yves Grandvalet, Alain Rakotomamonjy
Venue: Proceedings of the 25th international conference on Machine learning (2008)

The Support Vector Machine (SVM) is an acknowledged powerful tool for building classifiers, but it lacks flexibility, in the sense that the kernel is chosen prior to learning. Multiple Kernel Learning (MKL) enables to learn the kernel, from an ensemble of basis kernels, whose combination is optimized in the learning process. Here, we propose Composite Kernel Learning to address the situation where distinct components give rise to a group structure among kernels. Our formulation of the learning problem encompasses several setups, putting more or less emphasis on the group structure. We characterize the convexity of the learning problem, and provide a general wrapper algorithm for computing solutions. Finally, we illustrate the behavior of our method on multi-channel data where groups correpond to channels.
Assessing student learning in software engineering
Authors: Taehyung (George) Wang, Diane Schwartz, Robert Lingard
Venue: Journal of Computing Sciences in Colleges (2008)

Program assessment plays a key role in measuring student learning and improving the program. Assessing programs is an iterative and incremental process that consists of a series of activities conducted by stakeholders such as faculty members, students and alumni. These activities include defining learning outcomes, developing assessment methods and rubrics, conducting assessment, analyzing assessment results, and recommending actions for change. Over two years, we, as the software engineering group in the Computer Science Department, assessed four student learning outcomes relating software engineering. In this paper, we describe our assessment activities for two learning outcomes: 1) Demonstrate an understanding of the principles and practices for software design and development; 2) Be able to apply the principles and practices for software design and development to real world problems.
Time-Varying Cellular Neural Networks Analogue Realization
Authors: Nasser Kamiss Al-Ani, Noor Aldin Addel, Laith Khalid Kharbully
Venue: Proceedings of the 2008 Second Asia International Conference on Modelling & Simulation (AMS) (2008)

A design method and implementation of a programmable cellular neural network for optimization and image processing applications is presented. The time-varying cell gain (TVCNN) “hardware annealing” is also embedded in the network. The test of such a system showed highly efficient in finding globally the optimal solutions for cellular neural networks. The cell gain as an annealing control signal is implemented by using a continuously adjustable MOS amplifier. The adjustable amplifier that used for this function combines an active input and a regulated cascade output. The proposal design method of TVCNN will be implemented by applying both the voltage-mode and current-mode concepts to have an idea of cost and speed in our implementation decision. Experimental simulation shows that the proposed approach is effective for real-time signal and image processing using standard CMOS technology. It offers a high accuracy over an input range. The analytical formulas for determination the values of designable parameters as a transistor sizes and component values are illustrated by an example of optimization task.
Analysis of scale effects in peer-to-peer networks
Authors: Yung-Ming Li, Yong Tan, Yong-Pin Zhou
Venue: IEEE/ACM Transactions on Networking (TON) (2008)

In this paper, we study both positive and negative scale effects on the operations of peer-to-peer (P2P) file sharing networks and propose the optimal sizing (number of peers) and grouping (number of directory intermediary) decisions. Using analytical models and simulation, we evaluate various performance metrics to investigate the characteristics of a P2P network. Our results show that increasing network scale has a positive effect on the expected content availability and transmission cost, but a negative effect on the expected provision and search costs. We propose an explicit expression for the overall utility of a content sharing P2P community that incorporates tradeoffs among all of the performance measures. This utility function is maximized numerically to obtain the optimal network size (or scale). We also investigate the impact of various P2P network parameters on the performance measures as well as optimal scaling decisions. Furthermore, we extend the model to examine the grouping decision in networks with symmetric interconnection structures and compare the performance between random- and location-based grouping policies.
BioRL: An XML-based Active Rule Language for Biological Database Constraint Management
Authors: Huaqin Xu, Ying Jin
Venue: Proceedings of the 2008 International Conference on BioMedical Engineering and Informatics - Volume 01 (2008)

High throughput biological experiments produce a large amount of biological data that can be updated by time. Inconsistent data stored in the same or different databases may lead to serious biological research problems. Constraint management is important to ensure biological data integrity. Some existing databases were built for the easy use for biologists; however the database management system (DBMS) may not have a sufficient constraint management system. In this paper, we propose an XML-based active rule language, named BioRL, to enforce constraints on existing databases without changing the original system structures or the underlying databases. In BioRL language, biological semantics are represented declaratively in active rules by using XQuery expressions and functions. This paper presents the syntax of the BioRL language, with examples that illustrate the use of BioRL in an application environment. This paper also presents the BioRule system to support the specification and execution of BioRL, focusing on the architectural components of the BioRL parser and the BioRL repository.
Joint Quality and Rate Adaptation Scheme for Wireless Video Streaming
Authors: Sunhun Lee, Kwangsue Chung
Venue: Proceedings of the 22nd International Conference on Advanced Information Networking and Applications (2008)

To provide efficient wireless video streaming service, the rate adaptation scheme should be applied at the low layer and the quality adaptation scheme should be considered at the high layer. To meet this requirement of wireless video streaming, we propose a new cross-layer design for video streaming over wireless networks. This design includes the rate adaptation scheme in the data link and physical layers and the quality adaptation scheme in the application layer. The rate adaptation scheme adjusts the data transmission rate based on the measured RSSI at the sender-side and informs the quality adaptation scheme about the rate limits. Then the quality adaptation scheme utilizes this rate limits to adjust the quality of the video stream. Through the performance evaluations, we prove that our cross-layer design improves the wireless link utilization and quality of video stream simultaneously.
Full-chip leakage analysis in nano-scale technologies: mechanisms, variation sources, and verification
Authors: Tao Li, Wenjun Zhang, Zhiping Yu
Venue: Proceedings of the 45th annual Design Automation Conference (2008)

In this paper, a methodology for full-chip leakage analysis based on accurate modeling of different leakage currents in nano-scaled MOSFETs has been developed. Novel process effects have been covered in our statistical model, and a systematic characterization method of leakage-related parameter variations has been proposed. With these two contributions, we present an effective algorithm to address the growing issue of full-chip leakage verification for actual-fabrication circuits. Unlike many traditional approaches that rely on log-Normal approximations, the proposed algorithm applies a quadratic model of the logarithm for the full-chip leakage current and is able to include both Gaussian and Non-Gaussian parameter distributions. Our simulation examples in a 65nm CMOS process demonstrate that the proposed methodology provides more accurate results compared with the previous methods, while achieving orders of magnitude more efficiency than a Monte Carlo analysis.
Experiments on Building Ubiquitous Robotic Space for Mobile Robot Using Wireless Sensor Networks
Authors: Taehong Kim, Young-Guk Ha, Jihoon Kang, Daeyoung Kim, Chong Poh Kit, Joo-Chan Sohn
Venue: Proceedings of the 22nd International Conference on Advanced Information Networking and Applications - Workshops (2008)

Ubiquitous robot is a network robot which can communicate with any devices at any time in the surrounding physical space to obtain more diverse view points of the environment. We call ubiquitous computing environment, which the network devices provide the environmental information to the robot in, ubiquitous robotic space (URS). In this paper, a sensor network platform is proposed to build the ubiquitous robotic space and provide lots of types of environment information such as indoor environment condition, fire detection, and intrusion detection. Differently from the existing sensor network applications that assume the static sensor nodes and the base station, the proposed sensor network platform is designed to support seamless environmental monitoring on the mobile robot system. We then applied our sensor network platform toe the real robot system and evaluated the functionalities of the proposed system.
Research on the Application of One-to-One Learning in Chinese Classical Poem Education
Authors: Min Ran, Shengquan Yu, Jun Liu
Venue: Proceedings of the Fifth IEEE International Conference on Wireless, Mobile, and Ubiquitous Technology in Education (2008)

Along with the rapid development of information technology, one-to-one learning emerges. Research on the application of one-to-one learning in Chinese classical poem education is performed in this work using multi-dimensional methods. It is observed in our research that most learners can get accustomed to one-to-one learning mode, complete the expected learning contents and achieve preset goals. Further investigation and analysis are conducted on a small portion of the learners who are not willing to learn in one-to-one mode.
Multi-Channel Wavelet-Based Diffusion Method for Denoising DTI Images
Authors: Xiangfen Zhang, Hong Ye, Hongmei Zhang
Venue: Proceedings of the 2008 International Conference on BioMedical Engineering and Informatics - Volume 02 (2008)

The Rician noise introduced into the diffusion tensor images (DTIs) can bring serious impacts on tensor calculation and fiber tracking. To decrease the effects of the Rician noise, we propose to consider the multi-channel wavelet-based diffusion methods to denoise DTI images. The presented smoothing strategy, which uses wavelet transform with anisotropic nonlinear diffusion, successfully removes image noise while preserving both texture and edges. To evaluate the efficiency of the presented method in accounting for the Rician noise introduced into the diffusion weighted images, the peak-to-peak signal-to-noise ratio(PSNR) is used. The experiment results acquired from the synthetic and real data prove the good performance of the presented filter.
Daedalus: toward composable multimedia MP-SoC design
Authors: H. Nikolov, M. Thompson, T. Stefanov, A. Pimentel, S. Polstra, R. Bose, C. Zissulescu, E. Deprettere
Venue: Proceedings of the 45th annual Design Automation Conference (2008)

Daedalus is a system-level design flow for the design of multiprocessor system-on-chip (MP-SoC) based embedded multimedia systems. It offers a fully integrated tool-flow in which design space exploration (DSE), system-level synthesis, application mapping, and system prototyping of MP-SoCs are highly automated. In this paper, we describe our first industrial deployment experiences with the Daedalus framework. Daedalus is currently being deployed in the early stages of the design of an image compression system for very high resolution cameras targeting medical appliances. In this context, we performed a DSE study with a JPEG encoder application, which exploits both task and data parallelism. This application was mapped onto a range of different MP-SoC architectures. We achieved a performance speed-up of up to 20x compared to a single processor system. In addition, the results show that the Daedalus high-level MP-SoC models accurately predict the overall system performance, i.e., the performance error is around 5%.
A novel cross layer game knowledge sharing algorithm based on neural fuzzy connection admission controller for cellular Ad Hoc networking
Authors: Yingji Zhong, Kyung Sup Kwak, Dongfeng Yuan
Venue: Computer Communications (2008)

The special scenario of the topology in the cellular Ad Hoc networks is studied and a novel cross layer game knowledge sharing algorithm based on multi-hop routing Neural Fuzzy Connection Admission Controller (NFCAC) is proposed in this paper. NFCAC has been successfully applied in the control-related problems of neural networks. However, there is no discussion about the game knowledge sharing algorithm and location recognition based on NFCAC in cellular Ad Hoc networking. We firstly propose a novel multi-hop routing NFCAC which is suitable for cellular Ad Hoc networking and then propose the algorithm to integrate the functions of both multi-hop routing NFCAC and the topology space in the special scenario. The topology and power consumption of each Mobile Host (MH) can be optimized due to the minimum link occupation with the help of the algorithm. Simulation results show that the algorithm can give more control guarantee to the networks in the variable MH loads and transmission powers, and make the MHs stable to support multi-hops at the same time.
Iterative operator-splitting methods with higher-order time integration methods and applications for parabolic partial differential equations
Authors: Jürgen Geiser
Venue: Journal of Computational and Applied Mathematics (2008)

In this paper we design higher-order time integrators for systems of stiff ordinary differential equations. We combine implicit Runge-Kutta and BDF methods with iterative operator-splitting methods to obtain higher-order methods. The idea of decoupling each complicated operator in simpler operators with an adapted time scale allows to solve the problems more efficiently. We compare our new methods with the higher-order fractional-stepping Runge-Kutta methods, developed for stiff ordinary differential equations. The benefit is the individual handling of each operator with adapted standard higher-order time integrators. The methods are applied to equations for convection-diffusion reactions and we obtain higher-order results. Finally we discuss the applications of the iterative operator-splitting methods to multi-dimensional and multi-physical problems.
Sufficient conditions for graphs to be &lambda;&prime;-optimal, super-edge-connected, and maximally edge-connected
Authors: Angelika Hellwig, Lutz Volkmann
Venue: Journal of Graph Theory (2005)

The restricted-edge-connectivity of a graph G, denoted by &lambda;&prime;(G), is defined as the minimum cardinality over all edge-cuts S of G, where G-S contains no isolated vertices. The graph G is called &lambda;&prime;-optimal, if &lambda;&prime;(G)&thinsp;=&thinsp;&xi;(G), where &xi;(G) is the minimum edge-degree in G. A graph is super-edge-connected, if every minimum edge-cut consists of edges adjacent to a vertex of minimum degree. In this paper, we present sufficient conditions for arbitrary, triangle-free, and bipartite graphs to be &lambda;&prime;-optimal, as well as conditions depending on the clique number. These conditions imply super-edge-connectivity, if &delta; (G)&thinsp;&ge;&thinsp;3, and the equality of edge-connectivity and minimum degree. Different examples will show that these conditions are best possible and independent of other results in this area. &copy; 2005 Wiley Periodicals, Inc. J Graph Theory 48: 228&ndash;246, 2005
RF Measurements for Cellular Phones and Wireless Data Systems
Authors: Allen W. Scott
Venue:  (2008)

The only source for practical, real-world information on RF measurements for cellular phones and wireless data systems It is predicted that by the year 2010, all digital wireless communications equipmentincluding cellular, PCS, and 3G phones; wireless LANs; GPS navigation systems; and DBS TVwill have data transfer capabilities of over 1 Mbps. Now, as this significant turning point quickly approaches, this book presents everything industry professionals need to know about the Radio Frequency (RF) measurements and tests that must be made on this new generation of digital wireless communications equipment. Presenting just enough theory as is absolutely required for comprehension, RF Measurements for Cellular Phones and Wireless Data Systems: Provides a review of basic RF principles and terminology Describes RF measurement equipment, including signal generators, power meters, frequency meters, vector network analyzers, spectrum analyzers, and vector signal analyzers Explains the RF devices that are used in cellular phones and wireless data transmission equipmenthow they work, what their critical performance parameters are, how they're tested, and typical test results Illustrates the testing of RF devices and systems with digitally modulated signals that represent the voice, video, or data that the RF wave is carrying RF Measurements for Cellular Phones and Wireless Data Systems has been written to serve as the industry standard for RF measurements and testing. It is an indispensable resource for engineers, technicians, and managers involved in the construction, installation, or maintenance of cell phones and wireless data equipment.
Cargo control system based on internet facilities
Authors: Eduardo Mario Dias, Edison De Oliveira Vianna,  Jr.
Venue: Proceedings of the 4th WSEAS International Conference on Applied Informatics and Communications (2004)

This paper intents to describe the first Brazilian experience on developing a cargo control system with the Internet by using the Internet facilities in order to process documents involving Barazilian ports authorities. We present some hints about port productivity in this last years with the operation under the legal landmark determinate by Law 8630/93. The conclusion of the modernization process of Brazilian ports will be done with the utilization of the developed cargo control tool and when it will be working in almost Brazilians ports.
Delay-dependent robust stability of linear systems with non-commensurate time varying delays
Authors: El Houssaine Tissir
Venue: International Journal of Systems Science (2007)

In this article we investigate the robust stability of uncertain systems with noncommensurate time varying delays. Two types of perturbations are considered. First, we consider time varying and unknown but norm bounded uncertainties. Next systems with polytopic-type uncertainties are studied. Based on Finsler's lemma we propose a new method for achieving less restrictive sufficient conditions for delay-dependent robust stability. The results are presented in terms of linear matrix inequalities. Three examples are given for illustration and comparison with previous results.
The Eye of the Beholder: Whence IC?
Authors: Fred Douglis
Venue: IEEE Internet Computing (2008)

In this issue, EIC Fred Douglis discusses IC's scope and content, and queries readers on what areas they'd like to see the magazine cover.
Towards 2-10nm electron-beam lithography: A quantitative approach
Authors: V. Sidorkin, A. van Run, A. van Langen-Suurling, A. Grigorescu, E. van der Drift
Venue: Microelectronic Engineering (2008)

This paper deals with three important contributions to quantitative electron beam patterning in the 2-10nm regime where typically minimal probe size is comparable to feature size. First, application of an advanced knife edge structure for accurate electron beam size measurements. Secondly, optimization of exposure procedure for optimum beam focus settings. And thirdly, investigation of the broadening effect of secondary electrons (SE) on the exposure process in the resists. The combined results provide a quantitative picture of limiting factors for the achievement of ultimate resolution.
Extending Lotkaian informetrics
Authors: Quentin L. Burrell
Venue: Information Processing and Management: an International Journal (2008)

The continuous version of the Lotka distribution, more generally referred to outside of informetrics as the Pareto distribution, has long enjoyed a central position in the theoretical development of informetrics despite several reported drawbacks in modelling empirical data distributions, most particularly that the inverse power form seems mainly to be evident only in the upper tails. We give a number of published examples graphically illustrating this shortcoming. In seeking to overcome this, we here draw attention to an intuitively reasonable generalization of the Pareto distribution, namely the Pareto type II distribution, of which we consider two versions. We describe its basic properties and some statistical features together with concentration aspects and argue that, at least in qualitative terms, it is better able to describe many observed informetric phenomena over the full range of the distribution. Suggestions for further investigations, including truncated and time-dependent versions, are also given.