ppxscal/embedding_network huggingface dataset:
Undergraduate programs in computer science
Authors: Norman E. Sondak
Venue: Proceedings of the May 19-22, 1975, national computer conference and exposition (1975)

Since the publication of "Curriculum '68", that landmark report has been subject to numerous discussions, enlargements, and criticisms. An updated version of this work is currently under preparation. Some of the more significant criticisms which were directed at the original report concern the lack of attention to the physical aspects of computer science, the limited consideration of data processing as a profession, and the absence of courses in the area of computers and their impact on society. The computer science graduate and undergraduate programs at Worcester Polytechnic Institute were developed and implemented over the same time frame as "Curriculum '68". While the departmental computer science academic program was developing, Worcester Polytechnic Institute itself was simultaneously engaged in an exciting and unique experiment in undergraduate science and engineering education entitled the WPI Plan.
Situated messages for asynchronous human-robot interaction
Authors: Nicolai Marquardt, James Young, Ehud Sharlin, Saul Greenberg
Venue: Proceedings of the 4th ACM/IEEE international conference on Human robot interaction (2009)

An ongoing issue in human robot interaction (HRI) is how people and robots communicate with one another. While there is considerable work in real-time human-robot communication, fairly little has been done in asynchronous realm. Our approach, which we call situated messages, lets humans and robots asynchronously exchange information by placing physical tokens - each representing a simple message - in meaningful physical locations of their shared environment. Using knowledge of the robot's routines, a person can place a message token at a location, where the location is typically relevant to redirecting the robot's behavior at that location. When the robot passes nearby that location, it detects the message and reacts accordingly. Similarly, robots can themselves place tokens at specific locations for people to read. Thus situated messages leverages embodied interaction, where token placement exploits the everyday practices and routines of both people and robots. We describe our working prototype, introduce application scenarios, explore message categories and usage patterns, and suggest future directions.
The moderating effect of the business strategic orientation on eCommerce adoption: Evidence from UK family run SMEs
Authors: Yong Wang, Pervaiz K. Ahmed
Venue: The Journal of Strategic Information Systems (2009)

This study investigates eCommerce adoption in family run SMEs (small and medium sized enterprises). Specifically, the objectives of the study are twofold: (a) to examine environmental and organisational determinants of eCommerce adoption in the family business context; (b) to explore the moderating effect of business strategic orientation on the relationships between adoption determinants and adoption decision. A quantitative questionnaire survey was executed. The sampling frame was outlined based on the OneSource database and 88 companies were involved. Results of logistic regression analyses proffer support that 'external pressure' and 'perceived benefits' are predictors of eCommerce adoption. Moreover, the findings indicate that the strategic orientation of family businesses will function as a moderator in the adoption process.
Single-class SVM and directed transfer function approach to the localization of the region containing epileptic focus
Authors: Bartosz Swiderski, Stanislaw Osowski, Andrzej Cichocki, Andrzej Rysz
Venue: Neurocomputing (2009)

The paper presents the study concerning the application of a single-class support vector machine (SVM) and directed transfer function method for the localization of the region of the brain containing the epileptic focus on the basis of EEG registration. The results of the performed numerical experiments for the localization of the seizure focus in the brain will be demonstrated on the examples of EEG for few patients.
Contextual web history: using visual and contextual cues to improve web browser history
Authors: Sungjoon Steve Won, Jing Jin, Jason I. Hong
Venue: Proceedings of the 27th international conference on Human factors in computing systems (2009)

While most modern web browsers offer history functionality, few people use it to revisit previously viewed web pages. In this paper, we present the design and evaluation of Contextual Web History (CWH), a novel browser history implementation which improves the visibility of the history feature and helps people find previously visited web pages. We present the results of a formative user study to understand what factors helped people in finding past web pages. From this, we developed CWH to be more visible to users, and supported search, browsing, thumbnails, and metadata. Combined, these relatively simple features outperformed Mozilla Firefox 3's built-in browser history function, and greatly reduced the time and effort required to find and revisit a web page.
Sample synopses for approximate answering of group-by queries
Authors: Philipp Rösch, Wolfgang Lehner
Venue: Proceedings of the 12th International Conference on Extending Database Technology: Advances in Database Technology (2009)

With the amount of data in current data warehouse databases growing steadily, random sampling is continuously gaining in importance. In particular, interactive analyses of large datasets can greatly benefit from the significantly shorter response times of approximate query processing. Typically, those analytical queries partition the data into groups and aggregate the values within the groups. Further, with the commonly used roll-up and drill-down operations a broad range of group-by queries is posed to the system, which makes the construction of highly-specialized synopses difficult. In this paper, we propose a general-purpose sampling scheme that is biased in order to answer group-by queries with high accuracy. While existing techniques focus on the size of the group when computing its sample size, our technique is based on its standard deviation. The basic idea is that the more homogeneous a group is, the less representatives are required in order to give a good estimate. With an extensive set of experiments, we show that our approach reduces both the estimation error and the construction cost compared to existing techniques.
Plenary lecture II: post modern ubiquitous information society - bridging the gap between human and computer
Authors: Norio Shiratori
Venue: Proceedings of the 12th WSEAS international conference on Computers (2008)

Famous Russian economist, Nicolai Kondratiev envisioned a long term (50 to 60 years) economic cycles of boom followed by depression, known as "Kondratiev waves", or grand supercycles. These cycles are closely related to the innovation of new technologies and its wide spread applications. The last boom was in 1960s with the invention of semiconductors and subsequently the introduction of computer. According to Kondratiev time-cycle, new technology and the consequent next economic peak would appear around year 2025. By that time, with the advancement of computer and communication technologies we can perceive a transformation from the present Information society to a new society, that we named as Symbiosis society. We have already witnessed that, invention of new technologies has made a huge impact on our life style and the society itself. Though it may provide various advantages and convenience, at the same time many social problems have also arisen. For some particular group of people, this technological development may not be as helpful as the rest. As they will be unable to take the full advantage of the benefits of information and facilities available. Actually it may pose anxiety and inconvenience to various layers of the society in different ways. To overcome these problems and to close the expected gap between human and computer a new information and communication paradigm is proposed, named as Symbiotic Computing. To overcome the above mentioned shortcomings and the subsequent problems, at the same time strengthening the power of advance ubiquitous computing environment, a new paradigm, called Symbiotic Computing is created. Based on this novel idea of Symbiotic Computing, Symbiosis Society can be realized, where human and ubiquitous information environment can coexist providing necessary cooperation to each other and close the gap between these two entities. We construct a symbiotic computing model and an architecture of symbiotic space for achieving the concept of symbiotic computing. Basic technologies for realizing the model and architecture are also developed. Moreover, we evaluated our proposal through developing a few applications and performing trial experiments in prototype system.
Information Theoretic Comparison of Stochastic Graph Models: Some Experiments
Authors: Kevin J. Lang
Venue: Proceedings of the 6th International Workshop on Algorithms and Models for the Web-Graph (2009)

The Modularity-Q measure of community structure is known to falsely ascribe community structure to random graphs, at least when it is naively applied. Although Q is motivated by a simple kind of comparison of stochastic graph models, it has been suggested that a more careful comparison in an information-theoretic framework might avoid problems like this one. Most earlier papers exploring this idea have ignored the issue of skewed degree distributions and have only done experiments on a few small graphs. By means of a large-scale experiment on over 100 large complex networks, we have found that modeling the degree distribution is essential. Once this is done, the resulting information-theoretic clustering measure does indeed avoid Q's bad property of seeing cluster structure in random graphs.
Database-oriented decision support systems
Authors: Daniel T. Lee
Venue: Proceedings of the May 16-19, 1983, national computer conference (1983)

Decision support systems represent a new challenge for computer technology experts, management science specialists, and organizational theorists. This paper examines the related topics on the database design for decision support systems. The major emphasis is on the global conceptual model and the unified approach for database design. The entity-relationship model is used for illustrating the unified approach, and the various translation processes are also discussed. A practical example is given. Throughout the paper, the interfaces among the user, the model, and the database are stressed.
Development of an e-Learning Platform Based on the Problem-Based Learning
Authors: Hsuan-Hung Chen, Wan-Jen Chang, Kim-Joan Chen
Venue: Computer Supported Cooperative Work in Design IV: 11th International Conference, CSCWD 2007, Melbourne, Australia, April 26-28, 2007. Revised Selected Papers (2008)

Development of existing e-Learning has to encounter some bottlenecks which must consider the needs of the learner during the learning processes. Thus, system development started from the educational needs to find the suitable learning technologies. In this paper, we have taken the strategy of the problem-based learning approach to combine the concept of knowledge management, collaborative learning and constructivism. We implemented these strategies via the ADDIE (Analysis, Design, Development, Implementation and Evaluation) model to produce a complete learning process. These processes can be formally described by the specification of the IMS Learning Design (LD), and interpreted by the LD engine. The proposed system is called a Knowledge Management Learning System, where it can support learning-process progress and facilitate learners' learning more meaningfully.
Implementing global virtual teams to enhance cross-border transfer of knowledge in multinational enterprises: a resource-based view
Authors: Andre L. Araujo
Venue: International Journal of Networking and Virtual Organisations (2009)

Multinational Enterprises (MNEs) face major impediments to transferring firm-specific advantages given their relatively low capacity to absorb knowledge from internationally dispersed units. In a world where workers' expertise is increasingly internationally distributed, global virtual teams hold the promise of enabling geographically, temporarily and functionally dispersed groups to overcome distance and time barriers with the use of Information and Communications Technologies (ICTs). This study offers a theoretical framework that explains the potential benefits of global virtual teams to MNEs by explicitly examining the effects of technology, demographic dissimilarity and absorptive capacity on the cross-border transfer of knowledge in MNEs. It also presents a set of propositions distilled from empirical evidence and theoretical considerations to guide future research in this area.
Charging for Multi-grade Services in the IP Multimedia Subsystem
Authors: May El Barachi, Roch Glitho, Rachida Dssouli
Venue: Proceedings of the 2008 The Second International Conference on Next Generation Mobile Applications, Services, and Technologies (2008)

Flexible charging and QoS provisioning are two of the main motivations behind the IP multimedia subsystem (IMS), defined by 3GPP. We have previously proposed a call differentiation solution for 3G networks. This solution defines different grades of calls with different QoS profiles, and uses a preemptive approach to give priority to more important calls over others. This idea of multi-grade services enables the users to choose the appropriate grade of call for each of their sessions, depending on the priorities/ guarantees they require. A suitable charging model is needed for the effective charging and billing of such services. In this paper, we focus on the charging aspects of multi-grade IMS services. The IMS online and offline charging mechanisms are leveraged and extended to tackle this issue. Furthermore, a proof-of-concept prototype, showcasing different multi-grade service charging scenarios, is presented.
Applying QoS Guaranteed Multicast Audio and Video to the Web
Authors: Myung-Ki Shin, Jin-Ho Hahm
Venue: Proceedings of the 1999 IEEE International Conference on Multimedia Computing and Systems - Volume 02 (1999)

This paper presents an implementation of Web based multicast audio and video application over QoS enabled networks. In order to apply QoS guaranteed multicast audio and video to the Web, architecture extension for real-time stream transmission, session directory service and QoS delivery embedded into the Web is needed. We attempt to identify a solution that can be deployed immediately. We design and implement QoS based multicast multimedia application by integrating the RTP, SDP/SAP and RSVP into the Web, which allows Web users to join a multicast session and receive QoS guaranteed multicast audio and video seamlessly.
Stochastic current prediction enabled frequency actuator for runtime resonance noise reduction
Authors: Yiyu Shi, Jinjun Xiong, Howard Chen, Lei He
Venue: Proceedings of the 2009 Asia and South Pacific Design Automation Conference (2009)

Power delivery network (PDN) is a distributed RLC network with its dominant resonance frequency in the low-to-middle frequency range. Though high-performance chips' working frequencies are much higher than this resonance frequency in general, chip runtime loading frequency is not. When a chip executes a chunk of instructions repeatedly, the induced current load may have harmonic components close to this resonance frequency, causing excessive power integrity degradation. Existing PDN design solutions are, however, mainly targeted at reducing high-frequency noise and not effective to suppress such resonance noise. In this work, we propose a novel approach to proactively suppress this type of noise. A method based on a high dimension generalized Markov process is developed to predict current load variation. Based on such prediction, a clock frequency actuator design is proposed to proactively select an optimal clock frequency to suppress the resonance. To the best of our knowledge, this is the first in-depth study on proactively reducing runtime instruction execution induced PDN resonance noise.
A Magnus- and Fer-Type Formula in Dendriform Algebras
Authors: Kurusch Ebrahimi-Fard, Dominique Manchon
Venue: Foundations of Computational Mathematics (2009)

We provide a refined approach to the classical Magnus (Commun. Pure Appl. Math. 7:649&#x2013;673, [1954]) and Fer expansion (Bull. Classe Sci. Acad. R. Belg. 44:818&#x2013;829, [1958]), unveiling a new structure by using the language of dendriform and pre-Lie algebras. The recursive formula for the logarithm of the solutions of the equations X=1+&#x03bb; a &#x227a; X and Y=1&#x2212;&#x03bb; Y &#x227b; a in A[[&#x03bb;]] is provided, where (A,&#x227a;,&#x227b;) is a dendriform algebra. Then we present the solutions to these equations as an infinite product expansion of exponentials. Both formulae involve the pre-Lie product naturally associated with the dendriform structure. Several applications are presented.
Input-Feedforward Two-Path Band-Pass Delta-Sigma Modulator Based on Horizontal or Vertical Opamp Sharing Technique
Authors: Naoya Waki, Hiroki Sato, Akira Hyogo, Keitaro Sekine
Venue: IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences (2008)

In this paper, horizontal (where an opamp is shared in two adjacent stages) and vertical (where an opamp is shared across two paths) opamp sharing techniques for a two-path band-pass (BP) Δ Σ modulator are described, and input-feedforward two-path fourth-order BP Δ Σ modulators that have only two opamps are proposed. The proposed modulators are based on the horizontal or vertical opamp sharing technique. They can be realized with both a summation circuit using a switched capacitor (SC) network and a second-order high-pass filter (HPF) with a horizontal shared opamp or a double-sampling first-order HPF with a vertical shared opamp, which are based on an SC first-order HPF with an opamp. These techniques can reduce the number of opamps with no additional component and the chip area as well as realize lower power consumption.
Wavelet Packet Threshold Approach to Denoising Piezoelectricity Gyro Signal
Authors: Yong-xiang Zhang, Xiao-xu Zhao, Hui-mei Yuan, Wei-gong Zhang
Venue: Proceedings of the 2009 International Conference on Computer Engineering and Technology - Volume 02 (2009)

Signals output from the Gyros usually contain turbulent noise, which comes down the signal accuracy and lowers the systems’ function. So denoising is necessary. an algorithm, based on three-layer wavelet packet transform of semisoft threshold, was applied to process the gyro’s state signal. The decomposition coefficient of each node was got from the decomposition of third-layer wavelet packet.We let the high-frequency transient part(greater than threshold)to be zero by a elimination algorithm, reconstructed the nodes to eliminate the noise and period components . This method, compared with soft and hard threshold denoising methods, overcomes their shortcomings and at the same time, its denoisng effects are better than the former two.
Computer Simulation of Temperature Characteristics in the Process of Vacuum and Selective FIR Drying for Litchi
Authors: Fengying Xu, Changyou Li, Zhen Chen
Venue: Proceedings of the 2009 Second International Symposium on Intelligent Information Technology and Security Informatics (2009)

Based on the spherical character of litchi, a heat and mass transfer model on shell-membrane and flesh-stone drying for litchi under the liquid-vapor interface moving was established and the temperature equation under shrinkage with interface moving was numerically solved. In 2 drying methods of continuous heating and tempering-intermittent heating involving 3 irradiance of 600, 800, 1200W/m2, temperature of drying medium 330K and vacuum degree -0.09Mpa, the temperature of flesh was numerically simulated by using VB6.0 program and made a comparative. Thus the simulation results could be used to provide means of precise regulation on transformation of critical temperature for vacuum and selective FIR litchi drying.
A real-time intrusion detection algorithm for network security
Authors: Hazem M. El-Bakry, Nikos Mastorakis
Venue: Proceedings of the 8th conference on Applied informatics and communications (2008)

E-government is an important issue which integrates existing local area networks into a global network that provide many services to the nation citizens. This network requires a strong security infrastructure to guarantee the confidentiality of national data and the availability of government services. In this paper, a framework for network intrusion detection systems is presented. Such framework utilizes data mining techniques and is customized for the E-Government Network (EGN). It consists of two phases: an offline phase in which the intrusion detection system learns the normal usage profiles for each local network domain, and a real time intrusion detection phase. In the real time phase, known attacks are detected at a global layer at the EGN perimeters while normal behavior is filtered out at a local layer defined for each LAN domain. Clustering is used to focus the analysis on the remaining suspicious activity and identify whether it represents new intrusive or normal behavior. This framework is intended to detect intrusions in real-time, achieve low false alarm rates, and continuously adapt to the environment changes and emergence of new behavior. This research is a development for the work presented in [22,23]. The main achievement of this paper is the fast attack detection algorithm. Such algorithm based on performing cross correlation in the frequency domain between data traffic and the input weights of fast time delay neural networks (FTDNNs). It is proved mathematically and practically that the number of computation steps required for the presented FTDNNs is less than that needed by conventional time delay neural networks (CTDNNs). Simulation results using MATLAB confirm the theoretical computations.
Manifold Alignment via Local Block Coordinate
Authors: Gelan Yang, Xue Xu, Li Tu
Venue: Proceedings of the 2009 Second International Workshop on Knowledge Discovery and Data Mining (2009)

We consider the problem of the correspondence leaning of two high-dimensional data sets via the manifold leaning techniques. It’s convenient for us to find the shared latent structure of the high-dimensional data sets, if they can be aligned in a uniformed low-dimensional data space. A local affine technique to address this problem is present here. Our method preserves more geometrical knowledge of the high dimensional data sets and can easily project the new test data into the aligned data space by the local transformation obtained during the training step. The effectiveness of our algorithm is validated by applying it to the problem of image sequences alignment.
Bargaining Solutions in a Social Network
Authors: Tanmoy Chakraborty, Michael Kearns
Venue: Proceedings of the 4th International Workshop on Internet and Network Economics (2008)

We study the concept of bargaining solutions, which has been studied extensively in two-party settings, in a generalized setting involving arbitrary number of players and bilateral trade agreements over a social network. We define bargaining solutions in this setting, and show the existence of such solutions on all networks under some natural assumptions on the utility functions of the players. We also investigate the influence of network structure on equilibrium in our model, and note that approximate solutions can be computed efficiently when the networks are trees of bounded degree and the parties have nice utility functions.