ppxscal/embedding_network huggingface dataset:
A novel intuitive GUI method for user-friendly operation
Authors: Kohei Sugawara, Rikio Maruta
Venue: Knowledge-Based Systems (2009)

A novel push-pin icon is introduced as an intuitive graphical user interface (GUI) in associations from free layouts of printed paper sheets on a pin-up board. It is shown that necessary commands for GUI implementation can be represented by push-pin states. Detailed state transition diagrams for the actual GUI implementation based on this icon are given. Superiority of the new GUI method to the conventional one was demonstrated through user evaluations both in objective and subjective tests. It is firmly believed by the authors that the use of the proposed method will significantly improve work efficiency of computer users.
Productivity in software maintenance
Authors: Ned Chapin
Venue: Proceedings of the May 4-7, 1981, national computer conference (1981)

New evidence is presented that certain management decisions play a critical role in determining the level of staff productivity in the maintenance of computer programs and systems. The finding is surprising because the pivotal decision-making process has not previously been identified as a significant influence on productivity in either development or maintenance.
Boltzmann Machines with Identified States
Authors: Masaki Kobayashi
Venue: IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences (2008)

Learning for boltzmann machines deals with each state individually. If given data is categorized, the probabilities have to be distributed to each state, not to each catetory. We propose boltzmann machines identifying the states in the same categories. Boltzmann machines with hidden units are the special cases. Boltzmann learning and em algorithm are effective learning methods for boltzmann machines. We solve boltzmann learning and em algorithm for the proposed models.
A Model-Driven Top-Down Approach to Inter-organizational Systems: From Global Choreography Models to Executable BPEL
Authors: Birgit Hofreiter, Christian Huemer
Venue: Proceedings of the 2008 10th IEEE Conference on E-Commerce Technology and the Fifth IEEE Conference on Enterprise Computing, E-Commerce and E-Services (2008)

Today, most approaches for inter-organizational business processes start bottom-up from the interfaces and the workflows of each partner described on the IT layer. Alternatively, one may start from the commitments and agreements between business partners to reach their complementary business goals. The latter approach is target of the UN/CEFACT Modeling Methodology (UMM), which models a global choreography. In a model driven approach the UMM artifacts must be further elaborated toward an IT solution for each participating business partner. For this purpose we have developed a UML profile to model a local choreography or an orchestration that respects the agreements made in the global choreography. In order to execute the local choreography / orchestration in the local IT, the processes must be machine-readable. For this purpose we demonstrate a transformation to the business process execution language (WS-BPEL).
Network anomaly detection based on wavelet analysis
Authors: Wei Lu, Ali A. Ghorbani
Venue: EURASIP Journal on Advances in Signal Processing (2009)

Signal processing techniques have been applied recently for analyzing and detecting network anomalies due to their potential to find novel or unknown intrusions. In this paper, we propose a new network signal modelling technique for detecting network anomalies, combining the wavelet approximation and system identification theory. In order to characterize network traffic behaviors, we present fifteen features and use them as the input signals in our system. We then evaluate our approach with the 1999 DARPA intrusion detection dataset and conduct a comprehensive analysis of the intrusions in the dataset. Evaluation results show that the approach achieves high-detection rates in terms of both attack instances and attack types. Furthermore, we conduct a full day's evaluation in a real large-scale WiFi ISP network where five attack types are successfully detected from over 30 millions flows.
Multicast and Individual Service Provisioning in Mobile TV
Authors: André Deuker, Mike Radmacher
Venue: Proceedings of the 2008 10th IEEE Conference on E-Commerce Technology and the Fifth IEEE Conference on Enterprise Computing, E-Commerce and E-Services (2008)

While Mobile TV in most parts of Europe is still in infancy, Italy as the first country of the European Union started to broadcast a mobile receivable TV program in June 2006. At the end of 2006 the number of subscribers reached 500,000. A classical direct revenue model was used. The acceptance of mobile TV is determined by the relation between the willingness to pay (WTP) for a service and the service fee that is charged from the customers. An advertising-based revenue model can be seen as a way to subsidize the mobile TV service fee. Additional context information (e.g. location, time and identity) and the possibility to address customers individually lead to a higher WTP from an advertiser's perspective. This article describes the conceptual realization of an indirect, advertising based revenue model for mobile TV which includes different strategies for individualization as well as questions about privacy and data protection.
Improving Collaborative Filtering Recommendations Using External Data
Authors: Akhmed Umyarov, Alexander Tuzhilin
Venue: Proceedings of the 2008 Eighth IEEE International Conference on Data Mining (2008)

This paper describes an approach for incorporating externally specified aggregate ratings information into certain types of collaborative filtering (CF) methods. For a statistical model-based CF approach, we formally showed that this additional aggregated information provides more accurate recommendations of individual items to individual users. Furthermore, theoretical insights gained from the analysis of this model-based method suggested a way to incorporate aggregate information into the heuristic item-based CF method. Both the model-based and the heuristic item-based CF methods were empirically tested on several datasets, and the experiments uniformly confirmed that the aggregate rating information indeed improves CF recommendations. These results also show the power of theory by demonstrating how the insights gained from theoretical developments can shed light on proper selection of good heuristic methods. We also showed the way to introduce scalability and parallelization into the estimation procedure and reported the running time for steps of the estimation procedure for large datasets.
Effects of internal fields on deep-level emission in InGaN/GaN quantum-well light-emitting diodes
Authors: L. Rigutti, A. Castaldini, A. Cavallini
Venue: Microelectronics Journal (2009)

We report on the important role played by internal quantum well (QW) fields in the anomalous inversion of capacitance transients in InGaN/GaN multi-QW light-emitting diodes (LEDs). This effect was observed by deep-level transient spectroscopy (DLTS) characterization. Deep-level C (E"C-E"T=0.25eV), a majority carrier trap related to isolated point defects, gives rise to a negative transient when the bias stimulates it only in the bulk region and to a positive transient when the filling pulse is such that the QW region is probed. We explain this behavior by a model based on the confining effects of QW internal fields on the charge emitted by deep levels.
Attacking the BitLocker Boot Process
Authors: Sven Türpe, Andreas Poller, Jan Steffan, Jan-Peter Stotz, Jan Trukenmüller
Venue: Proceedings of the 2nd International Conference on Trusted Computing (2009)

We discuss five attack strategies against BitLocker, which target the way BitLocker is using the TPM sealing mechanism. BitLocker is a disk encryption feature included in some versions of Microsoft Windows. It represents a state-of-the-art design, enhanced with TPM support for improved security. We show that, under certain assumptions, a dedicated attacker can circumvent the protection and break confidentiality with limited effort. Our attacks neither exploit vulnerabilities in the encryption itself nor do they directly attack the TPM. They rather exploit sequences of actions that Trusted Computing fails to prevent, demonstrating limitations of the technology.
Research on Retrieval of MES Components Based on Ontology
Authors: Wen Long
Venue: Proceedings of the 2009 Second International Workshop on Knowledge Discovery and Data Mining (2009)

Manufacturing Execution System (MES) links plan management and workshop control in an enterprise, which is an integrative management and control system of workshop production oriented to manufacturing process. To overcome the difficulties of traditional components retrieval method, retrieval of MES components based on ontology is put forward to prompt retrieval efficiency and recall ratio. Retrieval of MES components based on ontology is feasible and efficient through developing a pharmaceutics MES which applied in a pharmaceutics manufacturing factory.
Intelligent diagnosis method for a centrifugal pump using features of vibration signals
Authors: Huaqing Wang, Peng Chen
Venue: Neural Computing and Applications (2009)

In the field of machinery diagnosis, the utilization of vibration signals is effective in the detection of fault, because the signals carry dynamic information about the machine state. However, knowledge of a distinguishing fault is ambiguous because definite relationships between symptoms and fault types cannot be easily identified. This paper presents an intelligent diagnosis method for a centrifugal pump system using features of vibration signals at an early stage. The diagnosis algorithm is derived using wavelet transform, rough sets and a partially linearized neural network (PNN). ReverseBior wavelet function is used to extract fault features from measured vibration signals and to capture hidden fault information across optimum frequency regions. As the input parameters for the neural network, the non-dimensional symptom parameters that can reflect the characteristics of a signal are defined in the amplitude domain. The diagnosis knowledge for the training of the PNN can be acquired by using the rough sets. We also propose a diagnosis method based on the PNN, one which can deal with the ambiguity problem of condition diagnosis, and distinguish fault types on the basis of the possibility distributions of symptom parameters automatically. The decision method of optimum frequency region for extracting feature signals is also discussed using real plant data. Practical examples of diagnosis for a centrifugal pump system are shown in order to verify the efficiency of the method.
Double-loop temperature control of an on-off heating system
Authors: Chih-Yuan Lin, Chien-Yuan Juan
Venue: Proceedings of the 3rd WSEAS international conference on Circuits, systems, signal and telecommunications (2009)

This work presents a double-loop on-off temperature control which comprises two loops of compensation. The configuration is simple and the stability and performance can be easily achieved with proper choice of two parameters in the controller. For the performance, the controller switches the current through the heater in order to achieve the goal of power efficiency and temperature regulation; switching noise is suppressed and smaller regulation error can be achieved at the same time. The proposed control scheme is applied to a water heater. The experimental results reveal that the regulable range of temperature is from the room temperature to 100°C, with temperature regulation error within ±1°C. It conforms the stability and accuracy of the proposed control scheme.
Design representations of moving bodies for interactive, motion-sensing spaces
Authors: Lian Loke, Toni Robertson
Venue: International Journal of Human-Computer Studies (2009)

This paper describes the development and use of a set of design representations of moving bodies in the design of Bystander, a multi-user, interactive, immersive artwork built on video-based, motion-sensing technology. We extended the traditional user-centred design tools of personas and scenarios to explicitly address human movement characteristics embedded in social interaction. A set of corresponding movement schemas in Labanotation was constructed to visually represent the spatial and social interaction of multiple users over time. Together these three design representations of moving bodies were used to enable the design team to work with the aspects of human movement relevant to Bystander and to ensure that the system could respond in a coherent and robust manner to the shifting configurations of visitors in the space. They also supported two experiential methods of design reflection-in-action-enactment and immersion-that were vital for grounding designers' understandings of the specific interactive nature of the work in their own sensing, feeling and moving bodies.
MEDIC: A Memory & Disk Cache for Multimedia Clients
Authors: Edward Chang, Hector Garcia-Molina
Venue: Proceedings of the IEEE International Conference on Multimedia Computing and Systems - Volume 2 (1999)

In this paper we propose an integrated memory and disk cache for managing the resources of a multimedia client's computer or set-top box. The cache cushions the multimedia decoder from input rate fluctuations and mismatches, and because data can be cached to disk, the acceptable fluctuations can be very large. This lets the client operate efficiently at low cost when the network rate is much larger or smaller than the media display rate, and gives the media server much greater flexibility for balancing workload and supporting VCR-like functions. We analyze the memory requirements for this cache, and analytically derive safe values for its control parameters. Using a realistic case study, we examine the interaction between memory size, peak input rate, and disk performance, and show that a relatively modest amount of main memory can support a wide range of scenarios.
Multisignature Scheme Based on the Generalized Conic Curve
Authors: Song Lin, Biao Wang, Zhoujun Li
Venue: International Journal of Distributed Sensor Networks (2009)

We propose a multisignature scheme based on the generalized conic curve. This scheme makes use of the difficulties in factorizing large integer and computing discrete logarithm on the Abelian group, is convenient to, plaintext. Furthermore, the numeric Simulation of the multisignature is designed.
A Second Order Accurate Difference Scheme for the Hyperbolic Problem with Concentrated Data
Authors: Zhi-Zhong Sun
Venue: Numerical Analysis and Its Applications: 4th International Conference, NAA 2008, Lozenetz, Bulgaria, June 16-20, 2008. Revised Selected Papers (2009)

A numerical solution to the one-dimensional hyperbolic equation with concentrated data is considered. A second-order accurate difference scheme is derived by the method of the reduction of order on non-uniform meshes. The solvability, stability and second order L &thinsp;&infin;&thinsp; convergence are proved. A numerical example demonstrates the theoretical results.
Robust pitch estimation using a wavelet variance analysis model
Authors: Xiaopeng Wei, Lasheng Zhao, Qiang Zhang, Jing Dong
Venue: Signal Processing (2009)

In this paper, we present a robust pitch estimation algorithm with the combination of wavelet transform (WT) and variance analysis (VA) for noisy speech. The technique uses the discrete wavelet transform to extract the wavelet parameters of the speech in the fundamental frequency band, and then performs VA to generate a variance statistical distribution function of the wavelet parameters. Finally, peak detection is applied to extract the pitch period. The simulation results show that the proposed method can give a superior accuracy relative to some of the existing methods from high to very low signal-to-noise ratio (SNR) levels in white noise, pink noise and babble noise.
An Algorithm of Confirming the Processing Sequence of Complex Multi-product
Authors: Zhiqiang Xie, Yukun Guo, Huoyan Hu, Jing Yang, Guangyu Tan
Venue: Proceedings of the 2009 International Conference on Computer Modeling and Simulation (2009)

Aiming at the problem that the utilization factor is affected by the processing sequence of products while many complex products are processed, a new Job Shop scheduling method is put forward by taking into account to reduce the blank on the machine as much as possible, and to improve the utilization factor. This method confirms the processing sequence of products by calculating the cumulative length of idle time on the machine. The method arranges product with shorter idle time firstly by comparing the cumulative length of idle time which is produced after products are processed. The objective is to short the whole scheduling idle time. The experiment shows that the method proposed can improve the utilization factor and short the total processing time probably.
Enumerating spanning trees of graphs with an involution
Authors: Fuji Zhang, Weigen Yan
Venue: Journal of Combinatorial Theory Series A (2009)

As the extension of the previous work by Ciucu and the present authors [M. Ciucu, W.G. Yan, F.J. Zhang, The number of spanning trees of plane graphs with reflective symmetry, J. Combin. Theory Ser. A 112 (2005) 105-116], this paper considers the problem of enumeration of spanning trees of weighted graphs with an involution which allows fixed points. We show that if G is a weighted graph with an involution, then the sum of weights of spanning trees of G can be expressed in terms of the product of the sums of weights of spanning trees of two weighted graphs with a smaller size determined by the involution of G. As applications, we enumerate spanning trees of the almost-complete bipartite graph, the almost-complete graph, the Mobius ladder, and the almost-join of two copies of a graph.
A novel anti-collision protocol with collision-based dynamic clustering in multiple-reader RFID systems
Authors: Jianwei Wang, Dong Wang, Yuping Zhao, Timo Korhonen
Venue: Proceedings of the 8th conference on Applied informatics and communications (2008)

The Reader Collision Problem (RCP) is a bottle-neck decreasing the reading efficiency in multiple-reader RFID systems. This paper proposed a novel anti-collision protocol - DRA (Distributed Reservation-based Anti-collision) protocol to solve the RCP in multiple-reader RFID systems. Temporal Cluster Headers (TCHs) are dynamically selected among the potentially interfered readers in DRA protocol. The selected TCHs coordinate the communication sequence of all the slave readers within their control range and enable a collision-free reading procedure among all the readers. Both analytical and simulation results show that DRA protocol dramatically out-performs the existing RCP protocols in both reading efficiency and power consumption. Moreover, DRA protocol can be easily extended and applied in general wireless sensor networks.
Discrete-Time Multi-Resolution Modeling of Switching Power Converters Using Wavelets
Authors: Ferdinanda Ponci, Enrico Santi, Antonello Monti
Venue: Simulation (2009)

Modeling of power electronics circuits presents significant challenges due to the non-linear time-varying behaviour of this kind of system. It is common practice to operate with families of models of different complexity depending on the analysis goal. In this paper we propose a wavelet-based approach as a unifying framework able to provide multi-resolution capabilities and consequently significant flexibility to the modeling process. The comparison with more classical approaches to power converter modeling demonstrates how this approach can be considered an extension of formalizations such as state-space averaging. Simulation results for both DC-DC and DC-AC power converters, including soft-switching configurations, are presented as sample applications. The discrete-time formulation makes this approach particularly suitable for design and analysis of converters operated with digital controllers.
Squaring the Circle with Weak Mobile Robots
Authors: Yoann Dieudonné, Franck Petit
Venue: Proceedings of the 19th International Symposium on Algorithms and Computation (2008)

The Circle Formation Problem (CFP) consists in the design of a protocol insuring that starting from an initial arbitrary configuration (where no two robots are at the same position), n robots eventually form a regular n -gon in finite time. None of the deterministic solutions proposed so far works for a system made of 4 or 3 robots. This comes from the fact that it is very difficult to maintain a geometric invariant with such a few number of robots, e.g., the smallest enclosing circle, concentric cycles, properties of the convex hull, or a leader. As a matter of fact, due to the high rate of symmetric configurations, the problem was suspected to be unsolvable with 4 robots. In this paper, we disprove this conjecture. We present two non-trivial deterministic protocols that solves CFP with 4 and 3 robots, respectively. The proposed solutions do not require that each robot reaches its destination in one atomic step. Our result closes CFP for any number n ( > 0) of robots in the semi-synchronous model.
Modeling and Analysis of Resource's Load-Scale in P2P Network
Authors: Jun Peng-Mao, Yan Li-Cui, Jian Hua-Huang, Jian Biao-Zhang
Venue: Proceedings of the 2009 WRI International Conference on Communications and Mobile Computing - Volume 03 (2009)

Convenient, rapid, efficient and anonymous characteristic of P2P technology, enables P2P network gathering enormous users very quickly, and P2P traffic has occupied 60~80% bandwidth of Internet. Such giant traffic has formed a threat to the service quality of other Internet application and the security of Internet itself. However, most study about P2P traffic focuses on traffic monitoring and characteristic identifying technique. Rare study analyzes P2P traffic behavior from P2P mechanism itself. This paper construct P2P network queuing model, analyzes the influence of related factors to the load-scale of concrete resource. Main conclusion including, compared with other factors, average degree of node and TTL value is the most key factor to load-scale. Load-scale increases with node quantity, initial number of objected resource and resource’s total quantity, however, when those quantity reach to some critical threshold, the influence of those factors become quite weak to load-scale of resource.