ppxscal/embedding_network huggingface dataset:
Fair timestamp allocation in distributed systems
Authors: Said K. Rahimi, William R. Franta
Venue: Proceedings of the June 7-10, 1982, national computer conference (1982)

Many researchers have addressed the problem of uniquely identifying updates in a distributed database system in the literature. Primitive identification schemes that generate globally unique update IDs have also been suggested. These IDs are usually used as priority among updates as well. When used as such, these schemes do not distribute priority evenly across the nodes. This paper presents a numbering scheme that generates unique update IDs and, if used as a priority scheme, is fair.
Janus: A dual-purpose analytical model for understanding, characterizing and countermining multi-stage collusive attacks in enterprise networks
Authors: Zonghua Zhang, Pin-Han Ho
Venue: Journal of Network and Computer Applications (2009)

Multi-stage collusive attack (MSCA) covers a large class of attack variants, and commonly refers to an attack consists of several atomic attack stages and is enforced by a number of coordinated attack parties. The rich history of the development of countermeasures for specific MSCA, e.g., DDoS, worms, has shown that it is the special spatio-temporal characteristic that causes the prevention, detection and response of MSCA to be challenging. Instead of focusing on fine-grained specific attack analysis, this paper presents a model from high-level viewpoint, aiming at characterizing the behaviors of MSCA in terms of key spatio-temporal properties for better understanding and more effective design of countermeasures. The model is specifically developed for two purposes: First, it sheds light on the fundamental elements of an MSCA by examining its spatio-temporal related observations, and formulating attacker behavior as a reward-directed Markov decision process; Second, it assists security administrator in identifying the potential causal relationship of system vulnerabilities based on the reports of deployed security tools, so as to suggest appropriate actions. Taking the model as a basis, two meta-heuristic algorithms are designed. Specifically, attackers nondeterministic trail search (ANTS) is developed for approximately searching attack schemes with the minimum attack cost, and attacker's pivots discovery via backward searching (APD-BS) is designed for examining the pivots of attack schemes, namely the key observations associated with system state transitions during an attack. Finally, a proof-of-concept validation is conducted using a simulated enterprise network under DDoS attack, which is a typical MSCA variant.
Gaussian kernel optimization for pattern classification
Authors: Jie Wang, Haiping Lu, K. N. Plataniotis, Juwei Lu
Venue: Pattern Recognition (2009)

This paper presents a novel algorithm to optimize the Gaussian kernel for pattern classification tasks, where it is desirable to have well-separated samples in the kernel feature space. We propose to optimize the Gaussian kernel parameters by maximizing a classical class separability criterion, and the problem is solved through a quasi-Newton algorithm by making use of a recently proposed decomposition of the objective criterion. The proposed method is evaluated on five data sets with two kernel-based learning algorithms. The experimental results indicate that it achieves the best overall classification performance, compared with three competing solutions. In particular, the proposed method provides a valuable kernel optimization solution in the severe small sample size scenario.
An Analytic Solution of Entry Trajectory Based on Dynamic Pressure Planning
Authors: Liaoni Wu, Yimin Huang, Chenglong He
Venue: Proceedings of the 2009 International Conference on Electronic Computer Technology (2009)

An analytic trajectory solution based on dynamic pressure planning is presented for the gliding entry of lift-body. Firstly, the equations of motion are transformed from velocity to dynamic pressure and from time to altitude. An analytic method is proposed to calculate the trim angle-of-attack and other trajectory parameters based on dynamic pressure profile. Secondly, according the flight characteristics the entry is divided by initial descent and equilibrium glide. The dynamic pressure of equilibrium glide is scheduled and the geometric trajectory is calculated. Lastly, the simulation result shows that the trajectory design method is well satisfied the requirement of gliding entry.
A Method of the Extraction of Texture Feature
Authors: Haifang Li, Lihuan Men, Junjie Chen
Venue: Proceedings of the 3rd International Symposium on Advances in Computation and Intelligence (2008)

In order to understand the emotional information of the color image, research focus has been shifted from designing sophisticated low-level feature extraction algorithms to reducing the `semantic gap' between the visual features and the richness of human perception. In this paper, we firstly get the ROI using the Eye tracker and divide every image into two regions including Regions of Interest (ROI) and Non- Regions of Interest (Non-ROI). Secondly, we use the analytical hierarchy process (AHP) to provide a systematical way to evaluate the fit weights of ROI and Non-ROI. Finally, using the improved GLCM, we extract the texture feature of the two regions including ROI and Non-ROI, and get the whole texture feature. The algorithm is tested that the average detection rate of the proposed method is up to the same method using GLCM.
Survey and evaluation of query intent detection methods
Authors: David J. Brenes, Daniel Gayo-Avello, Kilian Pérez-González
Venue: Proceedings of the 2009 workshop on Web Search Click Data (2009)

User interactions with search engines reveal three main underlying intents, namely navigational, informational, and transactional. By providing more accurate results depending on such query intents the performance of search engines can be greatly improved. Therefore, query classification has been an active research topic for the last years. However, while query topic classification has deserved a specific bakeoff, no evaluation campaign has been devoted to the study of automatic query intent detection. In this paper some of the available query intent detection techniques are reviewed, an evaluation framework is proposed, and it is used to compare those methods in order to shed light on their relative performance and drawbacks. As it will be shown, manually prepared gold-standard files are much needed, and traditional pooling is not the most feasible evaluation method. In addition to this, future lines of work in both query intent detection and its evaluation are proposed.
Network Topology Inference Based on Delay Variation
Authors: Hong-Hua Zhao, Ming Chen
Venue: Proceedings of the 2009 International Conference on Advanced Computer Control (2009)

Network topology could be inferred based on one way delay in unicast networks, but time synchronization was needed between source node and destination nodes when measuring one way delay. In order to reduce the limit of time synchronization, a measurement method named 4-packets train was proposed which did not need time synchronization and could measure delay variation. Then a topology inference algorithm based on delay variation was put forward. Second the feasibility and correctness of topology inference algorithm based on delay variation were analyzed theoretically. At last the topology inference algorithm and 4-packets train measurement method were validated through simulation tool of NS2, the results of simulation indicated that the topology inference algorithm based on delay variation and 4-packets train measurement could infer network topology efficiently and correctly.
Development of a digital hearing aid with advanced processing algorithms
Authors: Marcelo F. García Barrese, Pedro J. Bontempi, Pablo E. Wundes, Diego J. F. Boim, Roxana Saint-Nom
Venue: Proceedings of the 8th conference on Signal, Speech and image processing (2008)

This paper summarizes the research and development work started in 2006 regarding the construction of a digital hearing aid with noise reduction capabilities using microphone arrays. It is primarily focused in the algorithms of noise reduction and feedback cancellation and their simulation and implementation in a miniaturized DSP. Results and further steps are detailed.
Pushing IT up a Notch: Embracing Technology for the Public and Corporate Good
Authors: Linda Wilbanks
Venue: IT Professional (2009)

The IT industry has long been a significant contributor to global warming, but green computing is a strong and growing trend that seeks to reverse that impact. First steps include some relatively simple technical andbehavioral changes that can help make adifference and pave the way for larger-scale efforts.
A Method to Generate Writing-Brush-Style Japanese Hiragana Character Calligraphy
Authors: Junji Mano, Lifeng He, Tsuyoshi Nakamura, Hiroshi Enowaki, Atsuko Mutoh, Hidenori Itoh
Venue: Proceedings of the IEEE International Conference on Multimedia Computing and Systems - Volume 2 (1999)

In this paper, we propose a method to generate writing-brush-style Japanese Hiragana characters. The information obtained during inputing characters with an electronic pen, such as the pen-position, pen-pressure and pen-speed, are used as input. Since such information are different from people to people, the generated results of our method can reflect user's individuality. Fuzzy spline curve is applied for the selection of control points. This enables us to use only a few control points to obtain the curve with the exceedingly approximate shape of sampling point queue. Moreover, we propose wielding-pen-style migration rule by analyzing the process of really writing calligraphy. The experiment results show our proposed method is a reasonable and effective method for generating writing-brush-style Hiragana calligraphy using an electronic pen.
Prediction of indoor temperature and relative humidity using neural network models: model comparison
Authors: Tao Lu, Martti Viljanen
Venue: Neural Computing and Applications (2009)

The use of neural networks grows great popularity in various building applications such as prediction of indoor temperature, heating load and ventilation rate. But few papers detail indoor relative humidity prediction which is an important indicator of indoor air quality, service life and energy efficiency of buildings. In this paper, the design of indoor temperature and relative humidity predictive neural networks in our test house was developed. The test house presented complicated physical features which are difficult to simulate with physical models. The work presented in this paper aimed to show the suitability of neural networks to perform predictions. Nonlinear AutoRegressive with eXternal input (NNARX) model and genetic algorithm were employed to construct networks and were detailed. The comparison between the two methods was also made. Applicability of some important mathematical validation criteria to practical reality was examined. Satisfactory results with correlation coefficients 0.998 and 0.997 for indoor temperature and relative humidity were obtained in the testing stage.
Orchestra!: A Distributed Platform for Virtual Musical Groups and Music Distance Learning over the Internet in Java(tm) Technology
Authors: D. Giuli, F. Pirri, P. Bussotti
Venue: Proceedings of the 1999 IEEE International Conference on Multimedia Computing and Systems - Volume 02 (1999)

This paper proposes a platform for musical group sessions over the Internet. It has been conceived as an useful instrument for collaborative music developing and enjoying, both at the professional and at the "amateur" level. It has been designed for music distance learning, as well The system, that we named "Orchestra!", is based on a distributed software architecture and its services are universally accessible through a simple http-client (a browser) and a sound card. Geographical packet-switched network latencies make it impossible to reach a real musical synchronisation among all members of a virtual group. As an alternative, it has been developed a system of progressive and collaborative elaboration of musical audio streams which is insensitive to delays: this idea permits to reproduce "live" performances as well as recording studio activities.
Assessing the lifetime performance index of products from progressively type II right censored data using Burr XII model
Authors: Wen-Chuan Lee, Jong-Wuu Wu, Ching-Wen Hong
Venue: Mathematics and Computers in Simulation (2009)

Process capability analysis has been widely applied in the field of quality control to monitor the performance of industrial processes. In practice, lifetime performance index CL is a popular means to assess the performance and potential of their processes, where L is the lower specification limit. Nevertheless, many processes possess a non-normal lifetime model, the assumption of normality is often erroneous. Progressively censoring scheme is quite useful in many practical situations where budget constraints are in place or there is a demand for rapid testing. The study will apply data transformation technology to constructs a maximum likelihood estimator (MLE) of CL under the Burr XII distribution based on the progressively type II right censored sample. The MLE of CL is then utilized to develop a new hypothesis testing procedure in the condition of known L. Finally, we give two examples to illustrate the use of the testing procedure under given significance level &alpha;.
More than Just "Lost in Translation"
Authors: Olly Gotel, Stephen Morris
Venue: IEEE Software (2009)

Easy capture of requirements in multiple digital formats, combined with the continuing use of physical documents, opens the way to documentation using many and varied sign systems or abstract media. Transfers between documents occur as requirements become fixed. Simultaneously, media transformations alter content, sometimes in irreversible ways. Identifying and choosing particular transformations becomes an essential part of the requirements process.
Belief Propagation for Stereo Analysis of Night-Vision Sequences
Authors: Shushi Guan, Reinhard Klette, Young W. Woo
Venue: Proceedings of the 3rd Pacific Rim Symposium on Advances in Image and Video Technology (2009)

This paper studies different specifications of belief propagation for stereo analysis of seven rectified stereo night-vision sequences (provided by Daimler AG). As shown in [4], Sobel preprocessing of images has obvious impacts on improving disparity calculations. This paper considers other options of preprocessing (Canny and Kovesi-Owens edge operators), and concludes with a recommended setting for belief propagation on those sequences.
Hypermedia, the Web and Usability Issues
Authors: Paolo Paolini
Venue: Proceedings of the IEEE International Conference on Multimedia Computing and Systems - Volume 2 (1999)

The aim of Usability evaluation is to establish if the users can effectively make use of what is being provided by an application. A general concern of the filed is to precisely establish what should be evaluated, and how it should be evaluated. This paper examines this issue specifically in the context of WWW and Hypermedia applications. It is argued that usability for WWW applications should focus upon structure and navigation, and that inspection appears more suitable than empirical testing. The innovative approach of SUE, with the use of a design model, abstract tasks and concrete tasks is also briefly described.
A pointwise projected gradient method applied to an optimal control problem
Authors: N. V. Pulova
Venue: Journal of Computational and Applied Mathematics (2009)

The aim of this work is to present a method for finding pointwise control approximations of an optimal control problem with control constraints. The method is oriented to practical applications of the gradient projection method. By applying Euler scheme to the state and costate equations we find a sequence of approximate values of the gradient. Approximate values of the control in the grid points are obtained by projecting on the set of control values. We define a sequence having an accumulation point that is at a distance Ch^1^/^2 (in L"2^r metric) from the optimal control. Finally, numerical examples are given.
Transborder data flow: legal persons in privacy protection legislation
Authors: Susan H. Nycum, Susan Courtney-Saunders
Venue: Proceedings of the May 19-22, 1980, national computer conference (1980)

In view of current proposals to establish treaties and privacy protection guidelines on transborder data flows, it has become necessary that the United States adopt a position on whether "legal person" be included in such treaties and guidelines. The following discussion attempts to evaluate the various arguments and concludes that the United States, based upon its own definition of privacy, regulation of "legal persons," and economic and foreign policy, must maintain that "legal person" be excluded from privacy guidelines.
Enactive artificial intelligence: Investigating the systemic organization of life and mind
Authors: Tom Froese, Tom Ziemke
Venue: Artificial Intelligence (2009)

The embodied and situated approach to artificial intelligence (AI) has matured and become a viable alternative to traditional computationalist approaches with respect to the practical goal of building artificial agents, which can behave in a robust and flexible manner under changing real-world conditions. Nevertheless, some concerns have recently been raised with regard to the sufficiency of current embodied AI for advancing our scientific understanding of intentional agency. While from an engineering or computer science perspective this limitation might not be relevant, it is of course highly relevant for AI researchers striving to build accurate models of natural cognition. We argue that the biological foundations of enactive cognitive science can provide the conceptual tools that are needed to diagnose more clearly the shortcomings of current embodied AI. In particular, taking an enactive perspective points to the need for AI to take seriously the organismic roots of autonomous agency and sense-making. We identify two necessary systemic requirements, namely constitutive autonomy and adaptivity, which lead us to introduce two design principles of enactive AI. It is argued that the development of such enactive AI poses a significant challenge to current methodologies. However, it also provides a promising way of eventually overcoming the current limitations of embodied AI, especially in terms of providing fuller models of natural embodied cognition. Finally, some practical implications and examples of the two design principles of enactive AI are also discussed.
Artificial Neural Network to Predict Skeletal Metastasis in Patients with Prostate Cancer
Authors: Jainn-Shiun Chiu, Yuh-Feng Wang, Yu-Cheih Su, Ling-Huei Wei, Jian-Guo Liao, Yu-Chuan Li
Venue: Journal of Medical Systems (2009)

The application of an artificial neural network (ANN) in prediction of outcomes using clinical data is being increasingly used. The aim of this study was to assess whether an ANN model is a useful tool for predicting skeletal metastasis in patients with prostate cancer. Consecutive patients with prostate cancer who underwent the technetium-99m methylene diphosphate (Tc-99m MDP) whole body bone scintigraphies were retrospectively analyzed between 2001 and 2005. The predictors were the patient's age and radioimmunometric serum PSA concentration. The outcome variable was dichotomous, either skeletal metastasis or non-skeletal metastasis, based on the results of Tc-99m MDP whole body bone scintigraphy. To assess the performance for classification model in clinical study, the discrimination and calibration of an ANN model was calculated. The enrolled subjects consisted of 111 consecutive male patients aged 72.41¿±¿7.69 years with prostate cancer. Sixty-seven patients (60.4%) had skeletal metastasis based on the scintigraphic diagnosis. The final best architecture of neural network model was four-layered perceptrons. The area under the receiver-operating characteristics curve (0.88¿±¿0.07) revealed excellent discriminatory power (p¿<¿0.001) with the best simultaneous sensitivity (87.5%) and specificity (83.3%). The Hosmer---Lemeshow statistic was 6.74 (p¿=¿0.08¿>¿0.05), which represented a good-fit calibration. These results suggest that an ANN, which is based on limited clinical parameters, appears to be a promising method in forecasting of the skeletal metastasis in patients with prostate cancer.
Social support in empathic online communities for older people
Authors: Ulrike Pfeil
Venue: Proceedings of the 21st British HCI Group Annual Conference on HCI 2008: People and Computers XXI: HCI...but not as we know it - Volume 2 (2007)

The goal of my PhD is to investigate how older people exchange social support in empathic online communities. This will be achieved through an in-depth investigation of online communities for older people. The results of my work will shed light on the characteristics of empathy exchanged among older people in online communities opposed to their offline communication. This is a valuable contribution to the research area of HCI, as it shows how empathic online communities can be used to support older people in their daily lives. I have published the preliminary findings of my work as a full paper at CHI 2007.
Research on Networking Simulation in TCN Simulation Training
Authors: Zhao-yong Fan, Zhi-chun Gan, Jian-jun Shen, Wei Cheng
Venue: Proceedings of the 2009 International Asia Conference on Informatics in Control, Automation and Robotics (2009)

Modern military operations are becoming increasingly reliant on communication network and its connectivity. In order to help Tactical Communication Network (TCN) manipulators in operating those advanced communication equipments and related network management software, a type of simulation training system for TCN is presented in this paper. Networking simulation was introduced into the system to provide necessary implementing environment. The system to accomplish the task was named Networking Simulator (NETSIM) federate, which serves as a bridge to combine TCN network management training and equipment operation training. To realize NETSIM, the network’s abstract model of simulated TCN was analyzed and the three-layer program model framework was put forward. Key issues for NETSIM development were discussed in detail and appropriate solutions were also provided. The primary application of the research shows its scientificalness and feasibility.
Stream-analysis-based intelligent TV content personalization system for digital television terminals
Authors: Jingteng Xue, Haining Wu, Li Zhao, Xin Wei
Venue: Proceedings of the 2008 International Conference on Advanced Infocomm Technology (2008)

An intelligent television content personalization system has been designed and presented in this paper. It can detect program information by stream analysis, identify different users through face recognition, learn user's preference by intelligent algorithm, and offer dynamic recommendations to help every user quickly find, locate and organize their favorite programs. TV program is automatically rated based on the ratio of user's total watching time to the content's real duration; system learns user preference by calculating and comparing the rating of each program. The function and efficiency of the system is tested by an experiment, showing that this system can adapt user's preference and give correct recommendations.