ppxscal/embedding_network huggingface dataset:
Mobile services access and payment through reusable tickets
Authors: Yaohui Lei, Alejandro Quintero, Samuel Pierre
Venue: Computer Communications (2009)

Third-generation mobile systems (3G) such as Universal Mobile Telecommunications Service (UMTS) bring mobile users a broad range of new value-added services (VASs). For mobile access across multiple service domains, the traditional access mechanisms require the exchange of authentication information between the home domain and the foreign domain using roaming agreements. This requirement involves complicated and expensive authentication activities in large scale mobile networks. This paper proposes a lightweight service access mechanism in which the computation complexity is low on the mobile device and the ticket can be reused. It introduces two hash chains: an authentication chain and a payment chain. The authentication chain allows a ticket to be reused and achieves mutual authentication and non-repudiation. The payment chain is lightweight, practical and likely to avoid re-initialization. Security analysis and comparison with related works indicate that our proposal is more appropriate for mobile communication networks.
Efficient Secret Sharing Schemes Based on Unauthorized Subsets
Authors: Kouya Tochikubo
Venue: IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences (2008)

We propose two multiple assignment secret sharing schemes realizing general access structures. One is always more efficient than the secret sharing scheme proposed by Ito, Saito and Nishizeki [5] from the viewpoint of the number of shares distributed to each participant. The other is also always more efficient than the scheme I of [7].
Comments on selecting ephemeral ports
Authors: Mark Allman
Venue: ACM SIGCOMM Computer Communication Review (2009)

Careless selection of the ephemeral port number portion of a transport protocol's connection identifier has been shown to potentially degrade security by opening the connection up to injection attacks from "blind" or "off path" attackers--or, attackers that cannot directly observe the connection. This short paper empirically explores a number of algorithms for choosing the ephemeral port number that attempt to obscure the choice from such attackers and hence make mounting these blind attacks more difficult.
Brief Communication: Design of multiplex PCR primers using heuristic algorithm for sequential deletion applications
Authors: Yung-Fu Chen, Rung-Ching Chen, Yung-Kuan Chan, Ren-Hao Pan, You-Cheng Hseu, Elong Lin
Venue: Computational Biology and Chemistry (2009)

The sequential deletion method is commonly applied to locate the functional domain of a protein. Unfortunately, manually designing primers for multiplex polymerase chain reaction (PCR) is a labor-intensive task. In order to speed up the experimental procedure and to improve the efficiency of producing PCR products, this paper proposes a multiplex PCR primers (MPCRPs) designer to design multiple forward primers with a single 3'-UTR reverse primer for extracting various N-terminal truncated mutants to quickly locate the functional domain of a cDNA sequence. Several factors, including melting temperature, primer length, GC content, internal self-complement, cross-dimerization, terminal limitation, and specificity, are used as the criteria for designing primers. This study obtains a near-optimal solution of primer sets that can be placed in as few test tubes as possible for one multiplex PCR experiment. Results: Homo sapiens ribosomal protein L5, Homo sapiens xylosyltransferase I, and Bacteriophage T4 gene product 11 were used as test examples to verify efficacy of the proposed algorithm. In addition, the designed primers of Homo sapiens ribosomal protein L5 cDNA were applied in multiplex PCR experiments. A total of 48 forward primers and one reverse primer were designed and used to duplicate N-terminal truncated mutants of different lengths from the protein. The primers were classified into eight tube groups (i.e., test tubes) held within the same temperature range (53-57^oC), and the validity of the PCR products were verified using polyacrylamide gel electrophoresis (PAGE) with the functional domain correctly located. A software implementation of the proposed algorithm useful in assisting the researcher to design primers for multiplex PCR experiments was developed and available upon request.
An aspect-oriented approach to business process modeling
Authors: Claudia Cappelli, Julio C.S.P. Leite, Thais Batista, Lyrene Silva
Venue: Proceedings of the 15th workshop on Early aspects (2009)

Traditional methods to business process modeling build the model in a unified way, which gives rise to complex models, where different concerns are scattered and tangled. In this paper we propose the use of an aspect-oriented approach to modularize business process modeling. We propose a meta Aspect Oriented Process Modeling Language (AOPML) that is independent of any specific business process language. In order to show the applicability of the approach we instantiate it using the Business Process Model Notation (BPMN) in a case study that takes advantage of AOPML.
An adaptive guidance approach for the heuristic solution of a minimum multiple trip vehicle routing problem
Authors: M. Battarra, M. Monaci, D. Vigo
Venue: Computers and Operations Research (2009)

One of the most important problems in combinatorial optimization is the well-known vehicle routing problem (VRP), which calls for the determination of the optimal routes to be performed by a fleet of vehicles to serve a given set of customers. Recently, there has been an increasing interest towards extensions of VRP arising from real-world applications. In this paper we consider a variant in which time windows for service at the customers are given, and vehicles may perform more than one route within a working shift. We call the resulting problem the minimum multiple trip VRP (MMTVRP), where a ''multiple trip'' is a sequence of routes corresponding to a working shift for a vehicle. The problem objective is to minimize the overall number of the multiple trips (hence the size of the required fleet), breaking ties in favor of the minimum routing cost. We propose an iterative solution approach based on the decomposition of the problem into simpler ones, each solved by specific heuristics that are suitably combined to produce feasible MMTVRP solutions. An adaptive guidance mechanism is used to guide the heuristics to possibly improve the current solution. Computational experiments have been performed on a set of real-world instances arising from a multi-regional scale distribution problem. The obtained results show that the proposed adaptive guidance mechanism is considerably effective, being able to reduce the overall number of required vehicles within a limited computing time.
"Social cohesion analysis of networks: a novel method for identifying cohesive subgroups in social hypertext" by Alvin Chin, with Jessica Rubart as author
Authors: Alvin Chin
Venue: Issue Spring (March 2009) (2009)

Alvin Chin is a Member of Research Staff at Nokia Research Center (NRC), Beijing, working in the Mobile Social Networking group. Alvin recently completed his PhD in Computer Science from the University of Toronto where he worked under Professor Mark Chignell. His PhD thesis was entitled "Social Cohesion Analysis of Networks: A Novel Method for Identifying Cohesive Subgroups in Social Hypertext" where he created a framework for automatically identifying influential members in subgroups from online social networks. At NRC Beijing, Alvin's research involves creating novel solutions that use the cell phone and context to participate and integrate with other users and online social networks, and enabling an intuitive user experience for social networking. He graduated with a Bachelors degree in Computer Engineering and a Masters degree in Electrical and Computer Engineering from the University of Waterloo. He has worked 2.5 years full time in industry researching emerging technologies in the wireless and pervasive computing area, especially Bluetooth and 802.11. His current research interests include social networking, computer-supported collaborative work, context-aware computing, and pervasive computing. Alvin is an active user of social networking and Web 2.0 technologies. He can be contacted at alvin.chin@nokia.com, and blogs frequently at http://www.alvinychin.com/blog.
Carving and Replaying Differential Unit Test Cases from System Test Cases
Authors: Sebastian Elbaum, Hui Nee Chin, Matthew B. Dwyer, Matthew Jorde
Venue: IEEE Transactions on Software Engineering (2009)

Unit test cases are focused and efficient. System tests are effective at exercising complex usage patterns. Differential unit tests (DUT) are a hybrid of unit and system tests that exploits their strengths. They are generated by carving the system components, while executing a system test case, that influence the behavior of the target unit, and then re-assembling those components so that the unit can be exercised as it was by the system test. In this paper we show that DUTs retain some of the advantages of unit tests, can be automatically generated, and have the potential for revealing faults related to intricate system executions. We present a framework for carving and replaying DUTs that accounts for a wide variety of strategies and tradeoffs, we implement an automated instance of the framework with several techniques to mitigate test cost and enhance flexibility and robustness, and we empirically assess the efficacy of carving and replaying DUTs on three software artifacts.
Out to Play
Authors: Jessica Lozano
Venue: ACM SIGGRAPH ASIA 2008 computer animation festival (2008)

While at the park, a little boy's playtime is interrupted by the sound of uncontrollable laughter. Nearby, another boy is giggling at the contents of a box. What could be so funny? When approached, however, he refuses to share the box's secret, much to the annoyance of the first child.
Existence conditions for trading transactions
Authors: Gheorghita Zbaganu, Marius Radulescu
Venue: Proceedings of the 12th WSEAS international conference on Computers (2008)

In the framework of the Principle of Expected Utility, we give a partial answer to the question: when a transaction is possible between a seller V with utility u and wealth a and a purchaser C with utility U and wealth A?
An Architecture for Emergent Semantics
Authors: Sven Herschel, Ralf Heese, Jens Bleiholder, Christian Czekay
Venue: Journal on Data Semantics XI (2008)

Emergent Semantics is a new paradigm for inferring semantic meaning from implicit feedback by a sufficiently large number of users of an object retrieval system. In this paper, we introduce a universal architecture for emergent semantics using a central repository within a multi-user environment, based on solid linguistic theories.Based on this architecture, we have implemented an information retrieval system supporting term queries on standard information retrieval corpora. Contrary to existing query refinement strategies, feedback on the retrieval results is incorporated directly into the actual document representations improving future retrievals.An evaluation yields higher precision values at the standard recall levels and thus demonstrates the effectiveness of the emergent semantics approach for typical information retrieval problems.
FWT2D: A massively parallel program for frequency-domain full-waveform tomography of wide-aperture seismic data-Part 1
Authors: Florent Sourbier, Stéphane Operto, Jean Virieux, Patrick Amestoy, Jean-Yves L'Excellent
Venue: Computers Geosciences (2009)

This is the first paper in a two-part series that describes a massively parallel code that performs 2D frequency-domain full-waveform inversion of wide-aperture seismic data for imaging complex structures. Full-waveform inversion methods, namely quantitative seismic imaging methods based on the resolution of the full wave equation, are computationally expensive. Therefore, designing efficient algorithms which take advantage of parallel computing facilities is critical for the appraisal of these approaches when applied to representative case studies and for further improvements. Full-waveform modelling requires the resolution of a large sparse system of linear equations which is performed with the massively parallel direct solver MUMPS for efficient multiple-shot simulations. Efficiency of the multiple-shot solution phase (forward/backward substitutions) is improved by using the BLAS3 library. The inverse problem relies on a classic local optimization approach implemented with a gradient method. The direct solver returns the multiple-shot wavefield solutions distributed over the processors according to a domain decomposition driven by the distribution of the LU factors. The domain decomposition of the wavefield solutions is used to compute in parallel the gradient of the objective function and the diagonal Hessian, this latter providing a suitable scaling of the gradient. The algorithm allows one to test different strategies for multiscale frequency inversion ranging from successive mono-frequency inversion to simultaneous multifrequency inversion. These different inversion strategies will be illustrated in the following companion paper. The parallel efficiency and the scalability of the code will also be quantified.
Browsing within Lecture Videos Based on the Chain Index of Speech Transcription
Authors: Stephan Repp, Andreas Groβ, Christoph Meinel
Venue: IEEE Transactions on Learning Technologies (2008)

The number of digital lecture video recordings has increased dramatically since recording technology became easier to use. The accessibility and ability to search within this large archive are limited and difficult. Additionally, detailed browsing in videos is not supported due to the lack of an explicit annotation. Manual annotation and segmentation is time-consuming and therefore useless. A promising approach is based on using the audio layer of a lecture recording to obtain information about the lecture's contents. In this paper we're going to present an indexing method for computer science courses based on their existing recorded videos. The transcriptions from a speech-recognition engine (SRE) are sufficient to create a chain index for detailed browsing inside a lecture video. The index structure and the evaluation of the supplied keywords are presented. The user interface for dynamic browsing of the e-learning contents concludes this paper.
Enhancement of ammonia sensitivity in swift heavy ion irradiated nanocrystalline SnO2thin films
Authors: Sanju Rani, Somnath C. Roy, N. K. Puri, M. C. Bhatnagar, D. Kanjilal
Venue: Journal of Nanomaterials (2008)

Swift heavy ion irradiation is an effective technique to induce changes in the microstructure and electronic energy levels of materials leading to significant modification of properties. Here we report enhancement of ammonia (NH3) sensitivity of SnO2 thin films subjected to high-energy Ni+ ion irradiation. Sol-gel-derived SnO2 thin films (100nm thickness) were exposed to 75 MeV Ni+ ion irradiation, and the gas response characteristics of irradiated films were studied as a function of ion fluence. The irradiated films showed p-type conductivity with a much higher response to NH3 compared to other gases such as ethanol. The observed enhancement of NH3 sensitivity is discussed in context of ion beam generated electronic states in the SnO2 thin films.
Vibrational versus electronic isotropic polarizability and first hyperpolarizability of a series of cis - Ru (II) - bipyridine complexes: A non-empirical investigation
Authors: Maammar Rekhis, Amar Saal, Carlo Adamo, Ourida Ouamerali
Venue: Journal of Computational Methods in Sciences and Engineering (2008)

Dipole moments, vibrational and electronic polarizabilities and first hyperpolarizabilities of a set of nine ruthenium (II) complexes, cis-RuL$_{2}$L'$_{2}$ where L = 2,2'-bipyridine and L' = SCN$^{-}$ (1), SeCN$^{-}$ (2) or TeCN$^{-}$ (3); L = (4,4'-dicarboxyH$_{2}$)-2,2'-bipyridine and L' = SCN$^{-}$ (4), SeCN$^{-}$ (5) or TeCN$^{-}$ (6); L = [(4,4'-dicarboxy)-2,2'-bipyridine]$^{-4}$ and L' = SCN$^{-}$ (7), SeCN$^{-}$ (8) or TeCN$^{-}$ (9) have been evaluated at the non-empirical PBE1PBE/LanL2DZ level. Complete optimizations of their geometrical structures have been made followed by frequency calculations. The order of magnitude and the qualitative variation of &mu;, &Delta;&alpha;$^{e}$ &Delta;&alpha;$^{v}$, &Delta;&alpha;$^{tot}$, &beta;$_{vec}^{e}$, &beta;$_{vec}^{v}$ and &beta;$_{vec}^{tot}$ in function of the ligands L and L' have also been made. The complexation effects on the vector first hyperpolarizabilities have been studied. The obtained results show that both contributions to &beta;$_{vec}$ are substantially affected by this complexation. The highest effect of complexation is recorded in the case of the complex 8. It has been found that the complexation factor &Gamma;$^{e}$ is less than 0.13 and for all the considered complexes is less than &Gamma;$^{v}$. The individual normal modes contributions to the vibrational first hyperpolarizability show that only a bit of fundamental normal modes, with frequencies are smaller than 50 cm$^{-1}$, contribute to more than 10% to &\beta;}$^{v}_{vec}$.
Rapid Compensation of Temperature Fluctuation Effect for Multichannel Sound Field Reproduction System
Authors: Yuki Yai, Shigeki Miyabe, Hiroshi Saruwatari, Kiyohiro Shikano, Yosuke Tatekura
Venue: IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences (2008)

In this paper, we propose a computationally efficient method of compensating temperature for the transaural stereo. The conventional method can be used to estimate the change in impulse responses caused by the fluctuation of temperature with high accuracy. However, the large amount of computation required makes real-time implementation difficult. Focusing on the fact that the amount of compensation depends on the length of the impulse response, we reduce the computation required by segmenting the impulse response. We segment the impulse responses in the time domain and estimate the effect of temperature fluctuation for each of the segments. By joining the processed segments, we obtain the compensated impulse response of the whole length. Experimental results show that the proposed method can reduce the computation required by a factor of nine without degradation of the accuracy.
Server Designs for Warehouse-Computing Environments
Authors: Kevin Lim, Parthasarathy Ranganathan, Jichuan Chang, Chandrakant Patel, Trevor Mudge, Steven K. Reinhardt
Venue: IEEE Micro (2009)

The enormous scale of warehouse-computing environments leads to unique requirements in which cost and power figure prominently. Models and metrics quantifying these requirements, along with a benchmark suite to capture workload behavior, help identify bottlenecks and evaluate solutions. A holistic approach leads to a new system architecture incorporating volume non-server-class components in novel packaging solutions, with memory sharing and flash-based disk caching.
Degasification system selection for US longwall mines using an expert classification system
Authors: C. Özgen Karacan
Venue: Computers Geosciences (2009)

Methane emissions from the active face areas and from the fractured formations overlying the mined coalbed can affect safety and productivity in longwall mines. Since ventilation alone may not be sufficient to control the methane levels on a longwall operation, gob vent boreholes (GVB), horizontal and vertical drainage boreholes, and their combinations are drilled and used as supplementary methane control measures in many mines. However, in most cases, the types of degasification wellbores chosen are decided based on previous experiences without analyzing the different factors that may affect this decision. This study describes the development of an expert classification system used as a decision tool. It was built using a multilayer perceptron (MLP) type artificial neural network (ANN) structure. The ANN was trained using different geographical locations, longwall operation parameters, and coalbed characteristics as input and was tested to classify the output into four different selections, which are actual degasification designs that US longwall mines utilize. The ANN network selected no degasification, GVB, horizontal and GVB, and horizontal, vertical and GVB options with high accuracy. The results suggest that the model can be used as a decision tool for degasification system selection using site- and mine-specific conditions. Such a model can also be used as a screening tool to decide which degasification design should be investigated in detail with more complex numerical techniques.
Practical aspects regarding network monitoring
Authors: Corina Simian, Vladislav Georgiev
Venue: Proceedings of the 8th conference on Simulation, modelling and optimization (2008)

Monitoring the resources of a network is an important function of network management. One software dedicated to network monitoring can be used. In the case of big networks and in the case of some additional requirements this is not a simple problem. In order to assist people working with these tools, this paper makes a comparative analysis of some software for network monitoring used in Sofia University Network.
Exponential Functional Link Artificial Neural Networks for Denoising of Image Corrupted by Gaussian Noise
Authors: Sudhansu Kumar Mishra, Ganpati Panda, Sukadev Meher, Ajit Kumar Sahoo
Venue: Proceedings of the 2009 International Conference on Advanced Computer Control (2009)

Here we have presented an alternate ANN structure called functional link ANN (FLANN) for image denoising. In contrast to a feed forward ANN structure i.e. a multilayer perceptron (MLP), the FLANN is basically a single layer structure in which non-linearity is introduced by enhancing the input pattern with nonlinear function expansion. In this work three different expansions is applied. With the proper choice of functional expansion in a FLANN , this network performs as good as and in some case even better than the MLP structure for the problem of denoising of an image corrupted with Gaussian noise. In the single layer functional link ANN (FLANN) the need of hidden layer is eliminated. The novelty of this structure is that it requires much less computation than that of MLP. In the presence of additive white Gaussian noise in the image, the performance of the proposed network is found superior to that of a MLP .In particular FLANN structure with exponential function expansion works best for Gaussian noise suppression from an image
A repairable system with imperfect coverage and reboot: Bayesian and asymptotic estimation
Authors: Ying-Lin Hsu, Ssu-Lang Lee, Jau-Chuan Ke
Venue: Mathematics and Computers in Simulation (2009)

System characteristics of a two-unit repairable system are studied from a Bayesian viewpoint with different types of priors assumed for unknown parameters, in which the coverage factor for an operating unit failure is possibly considered. Time to failure and time to repair of the operating units are assumed to follow exponential distributions. In addition, the recovery time and reboot time of the failed units also follow exponential distributions. When time to failure, time to repair, recovery time and reboot time are with uncertain parameters, a Bayesian approach is adopted to evaluate system characteristics. Monte Carlo simulation is used to derive the posterior distribution for the mean time to system failure and the steady-state availability. Some numerical experiments are performed to illustrate the results derived in this paper.