ppxscal/embedding_network huggingface dataset:
A proof of concept for oppnets and its resource utilization techniques with qos constraints
Authors: Ajay Gutpa
Venue:  (2008)

The increased number of embedded devices/systems in our environment and the evolution of the internet as a service oriented network connote two things: the demand for ubiquitous computing, and, the abstraction of users as consumers and applications as services, as in Service Oriented Computing (SOC) and Web Service domains. This Thesis studies Class 2 Opportunistic Networks, Oppnets&mdash;in short. Oppnets propagate dynamic interconnection of heterogeneous devices/networks/systems and the integration of their resources or services-such as computation, communication, sensing, actuation, and storage&mdash;irrespective of the discrepancies in hardware, software, protocols, or standards employed, to enable ubiquitous computing. The novelty of Oppnets lies in its ability to grow into a larger network and leverage resources of the new heterogenous devices/networks/systems as though they were part of the initial network. The first contribution of this research is the design and implementation of a small-scale Oppnet, called MicroOppnet, which not only acts as a proof-of-concept for Oppnets but can also be extended to be a testbed for experimentation and pilot implementation of Oppnet architectures and their components. Since the Oppnet idea is still in its infancy, there are numerous challenges confronting Oppnets, amongst them is resource utilization. We present a novel Service Location and Planning (SLP) mechanism that enables resource utilization in Oppnets. The second contribution of this Thesis, is the definition and implementation of the novel SLP problem as a mathematical model that can be solved optimally for small-scale networks. We also solve SLP problem for large networks using Lagrangean Relaxation. The SLP mechanism meets consumers' requests, by installing the requested service on a node, that not only minimizes service installation costs, but also promotes service federation (i.e. multiple services installed on a node), and abides by consumer-defined quality of service (QoS) and realistic network parameters. This realistic modeling accounts for consumer-defined QoS constraints of throughput and delay, the underlying network link layer bandwidth capacities, and the important factor of cost to the provider. In this Thesis, we show feasibility of Oppnets, with the design and implementation of MicroOppnet and discuss the SLP mechanism and its implementation and application to Oppnets.
Text Classification with Support Vector Machine and Back Propagation Neural Network
Authors: Wen Zhang, Xijin Tang, Taketoshi Yoshida
Venue: Proceedings of the 7th international conference on Computational Science, Part IV: ICCS 2007 (2007)

We compared a support vector machine (SVM) with a back propagation neural network (BPNN) for the task of text classification of XiangShan science conference (XSSC) web documents. We made a comparison on the performances of the multi-class classification of these two learning methods. The result of an experiment demonstrated that SVM substantially outperformed the one by BPNN in prediction accuracy and recall. Furthermore, the result of classification was improved with the combined method which was devised in this paper.
The Kinetic Facility Location Problem
Authors: Bastian Degener, Joachim Gehweiler, Christiane Lammersen
Venue: Proceedings of the 11th Scandinavian workshop on Algorithm Theory (2008)

We present a deterministic kinetic data structure for the facility location problem that maintains a subset of the moving points as facilities such that, at any point of time, the accumulated cost for the whole point set is at most a constant factor larger than the optimal cost. Each point can change its status between client and facility and moves continuously along a known trajectory in a d-dimensional Euclidean space, where d is a constant.Our kinetic data structure requires $\mathcal{O}(n (\log^{d}(n)+\log(nR)))$ space, where $R:=\frac{\max_{p_i \in \mathcal{P}}{f_i} \,\cdot\, \max_{p_i\in \mathcal{P}}{d_i}}{\min_{p_i \in \mathcal{P}}{f_i} \,\cdot\, \min_{p_i\in \mathcal{P}}{d_i}}$, $\mathcal{P} = \{ p_1, p_2, \ldots , p_n \}$ is the set of given points, and f i , d i are the maintenance cost and the demand of a point p i , respectively. In case that each trajectory can be described by a bounded degree polynomial, we process $\mathcal{O}(n^2 \log^2(nR))$ events, each requiring $\mathcal{O}(\log^{d+1}(n) \cdot \log(nR))$ time and $\mathcal{O}(\log(nR))$ status changes. To the best of our knowledge, this is the first kinetic data structure for the facility location problem.
Real-Time Intelligent End-Diastolic and End-Systolic Image Retrieval from Left Ventricular Angiograms Using Probability Density Propagation and Data Fusion
Authors: Wei Qu, Yuan-Yuan Jia
Venue: Proceedings of the 4th international conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications - with Aspects of Theoretical and Methodological Issues (2008)

Left ventricular analysis is an important cardiac examination, which is widely used in the cath lab. However, due to the intrinsic difficulties of X-ray angiographic images, manual inspection is still needed in the current clinical work flow to retrieve an end-diastolic (ED) and an end-systolic (ES) image from hundreds of frames. Obviously, this process is very tedious and time consuming. This paper presents a novel data fusion based intelligent approach for ED/ES image retrieval. By exploiting the latest image analysis theory and signal processing techniques, it achieves promising performance on the real clinical data.
Electromagnetic Interference Reduction in Electronic Systems Cabinets by Means of Genetic Algorithms Design
Authors: Antonio José Lozano-Guerrero, Alejandro Díaz-Morcillo, Juan Vicente Balbastre-Tejedor
Venue: Proceedings of the 2nd international work-conference on The Interplay Between Natural and Artificial Computation, Part I: Bio-inspired Modeling of Cognitive Tasks (2007)

Conductive plastics have become an alternative to traditional metallic cabinets to shield boxes from electromagnetic interferences. The wide range of available conductivities with these materials can satisfy any particular design. A design with an outer metallic layer and an inner layer of conductive dielectric can obtain advantages from both materials. In this paper the design by means of genetic algorithms of electronic systems cabinets made of new plastic materials to reduce electromagnetic radiated interferences in enclosures with an aperture is described. This optimization procedure requires the use of electromagnetic simulators with a high computational cost. A 2D simulation tool is used in this work for evaluating 3D structures, reducing drastically the computation time. The relationship between obtained solutions and skin depth parameter is evaluated to help in design procedures. A commercial 3D full wave electromagnetic tool has been used to validate the obtained results.
Towards understanding application semantics of network traffic
Authors: Ruoming Pang
Venue:  (2008)

This dissertation explores the problem of building a semantic network traffic analysis system and using it to investigate various aspects of network traffic. Semantic traffic analysis uncovers the application-layer semantics conveyed in packets so that one can examine the specific requests, responses, status messages, error codes, and data items embedded in a connection dialog. Analyzing these at the application layer, as opposed to the syntactic byte-string layer, opens up much greater insight into the nature and context of the exchange between two hosts. For this reason, semantic traffic analysis is a cornerstone for precise network intrusion detection and also has broad applications in measurements of networking systems. This dissertation advances semantic traffic analysis in two aspects. First, we present tools and techniques for building traffic analyzers and creating shared traces, including design and implementation of (1) a declarative language, binpac, for writing application protocol parsers, and (2) a programming environment for packet trace transformation and anonymization. Second, we characterize two types of previously unstudied network traffic, Internet background radiation and enterprise internal traffic. Both studies focus on traffic semantics, aiming to understand the network applications that generate the traffic and to uncover underlying causes of network usage patterns.
Web Contents Extracting for Web-Based Learning
Authors: Jiangtao Qiu, Changjie Tang, Kaikuo Xu, Qian Luo
Venue: Proceedings of the 7th international conference on Advances in Web Based Learning (2008)

Web mining has been applied to improve web-based learning. Content-based Web mining usually focuses on main contents of web page. This paper proposes a novel approach to automatically extract main contents from web pages. Compared with existed studies, the method may determine whether a web page contains main contents, and then extracts main contents without using DOM-Tree and template. Main contributions include: (1) Introducing a new concept of Block and proposing a method to partition web page to blocks. Main contents and noise contents may be well partitioned into different blocks. (2) Introducing a concept of Web Page Block Distribution and studying its feature. Based on Block Distribution, we may effectively determine whether the web page contain main contents, and then extract main contents via outlier analysis. Experiments demonstrate utility and feasibility of the method.
New Efficient Attacks on Statistical Disclosure Control Mechanisms
Authors: Cynthia Dwork, Sergey Yekhanin
Venue: Proceedings of the 28th Annual conference on Cryptology: Advances in Cryptology (2008)

The goal of a statistical database is to provide statistics about a population while simultaneously protecting the privacy of the individual records in the database. The tension between privacy and usability of statistical databases has attracted much attention in statistics, theoretical computer science, security, and database communities in recent years. A line of research initiated by Dinur and Nissim investigates for a particular type of queries, lower bounds on the distortion needed in order to prevent gross violations of privacy. The first result in the current paper simplifies and sharpens the Dinur and Nissim result.The Dinur-Nissim style results are strong because they demonstrate insecurity of all low-distortion privacy mechanisms. The attacks have an all-or-nothing flavor: letting n denote the size of the database, ¿(n) queries are made before anything is learned, at which point ¿(n) secret bits are revealed. Restricting attention to a wide and realistic subset of possible low-distortion mechanisms, our second result is a more acute attack, requiring only a fixed number of queries for each bit revealed.
Optimally Discriminant Moments for Speckle Detection in Real B-Scan Images
Authors: Robert Martí, Joan Martí, Jordi Freixenet, Joan Carles Vilanova, Joaquim Barceló
Venue: Proceedings of the 3rd Iberian conference on Pattern Recognition and Image Analysis, Part II (2007)

Detection of speckle in ultrasound (US) images has been regarded as an important research topic in US imaging, mainly focusing on two specific applications: improving signal to noise ratio by removing speckle noise and, secondly, for detecting speckle patches in order to perform a 3D reconstruction based on speckle decorrelation measures.A novel speckle detection proposal is presented here showing that detection can be improved based on finding optimally discriminant low order speckle statistics. We describe a fully automatic method for speckle detection and propose and validate a framework to be efficiently applied to real B-scan data, not being published to date. Quantitative and qualitative results are provided, both for real and simulated data.
Discipline Comparison of SSME with IS and its Education Implications
Authors: Juanqiong Gou, Xuewei Li, Xuemei Li, Peng Zhao
Venue: Proceedings of the 2008 IEEE Congress on Services - Part I (2008)

Service economy and service computing are taking a surge in interest in what is being called SSME (Service Science, Management, and Engineering). From the historical perspective, this paper compares the birth and research object of SSME and IS disciplines, proposes that SSME has much similarity with IS discipline, fundamental change comes from the digital society’s evolution. There is a leap in the process of IT-driven social evolvement between IS and SSME, that is from IS solution to digital service system. A comprehensive comparison shows their essential differences. Then three issues are proposed according that of the IS. They will help explain the SSME research field. Some suggestions on the education issues and curricula design for SSME are made referring those of IS.
Self-adaptive Agent-Based Dynamic Scheduling for a Semiconductor Manufacturing Factory
Authors: Horng-Ren Tsai, Toly Chen
Venue: Proceedings of the 10th international conference on Simulation of Adaptive Behavior: From Animals to Animats (2008)

A semiconductor manufacturing factory is a very complicated production system. Typical characteristics of a semiconductor manufacturing factory include: fluctuating demand, jobs with various product types and priorities, un-balanced capacity, jobs' reentrance to the bottleneck machines, hundreds of processing steps, alternative machines with unequal capacity, etc. Scheduling in a semiconductor manufacturing factory becomes a very difficult task owing to these characteristics. To enhance the performance of dynamic scheduling in a semiconductor manufacturing factory, a self-adaptive agent-based approach is proposed in this study. Firstly, a self-adaptive agent-based scheduling model, which integrates release control, dispatching and machine maintenance scheduling, is presented. Secondly, the negotiation protocol between agents is given. Thirdly, scheduling algorithms for decision making of agents are offered. Unlike in the past studies a single pre-determined scheduling algorithm is used for all agents, in this study every agent develops and modifies its own scheduling algorithm to adapt it to the outside conditions. Finally, production simulation is also applied in this study to generate some test data to evaluate the effectiveness of the proposed methodology.
Fabrication of drive and guide components for micro motors
Authors: M. Feldmann, A. Waldschik, C. Ruffert, H. H. Gatzen, S. B&#x00fc;ttgenbach
Venue: Microsystem Technologies (2008)

This paper provides a contribution to the technology and fabrication of functional components for micro motors based on an electromagnetic principle. The focus of this research is on components for the drive, guide and bearing for magnetic actuator systems. The technology and fabrication process of an electromagnetic guide is presented in detail. Its active principle is based upon repellent magnetic forces. Furthermore, the components of a linear variable reluctance micro motor are described. An improvement of driving forces has been achieved in comparison to the first prototype by determined optimizations. In addition, the weight of the traveller could be decreased. The fabrication of compact coil designs for the electromagnetic guide as well as the optimization of components for the reluctance motor are mainly attributed to the implementation of new fabrication technologies and new materials like inorganic insulation layers and electrodepositable photo resists.
Dense SiOC cap for damage-less ultra low k integration with direct CMP in C45 architecture and beyond
Authors: L. L. Chapelon, H. Chaabouni, G. Imbert, P. Brun, M. Mellier, K. Hamioud, M. Vilmay, A. Farcy, J. Torres
Venue: Microelectronic Engineering (2008)

Deposited on a porous a-SiOC:H intermetal dielectric (IMD), a dense a-SiOC:H cap was successfully integrated in a C45 dual damascene architecture. The paper demonstrates that, stopping the CMP with around 10nm of the cap left, the IMD integrity is preserved. As a consequence, a 3.5% decrease in RC delay, a 7.3% decrease in IMD integrated k-value and an increase of the time to failure by a 100 factor are reached relative to direct CMP. The cap also allowed to achieve straight lines and to improve the lines height uniformity as if CMP stopped on the IMD.
An Analysis About Market Efficiency in International Petroleum Markets: Evidence from Three Oil Commodities
Authors: Wang Shuping, Li Jianping, Zhang Shulin
Venue: Proceedings of the 7th international conference on Computational Science, Part III: ICCS 2007 (2007)

A modified model for testing market efficiency is presented, with introducing convenience yield and using lagged spot prices to adjust risk premium. Subsequently, an examination about market efficiency in international petroleum markets is given using the modified model for three widely traded oil commodities: WTI crude oil, unleaded gasoline, and heating oil. The main findings are that there have significant differences about market efficiency in different oil futures markets, and a nonlinear relationship among spot price, futures price, risk premium, and convenience yield is found in the crude oil market but not in refined oil markets. The nonlinear relationship can be eliminated through dividing the observed period into several stages. Meanwhile, the crude oil futures market is more and more efficient.
Size of Quantum Finite State Transducers
Authors: Ruben Agadzanyan, Rūsiņš Freivalds
Venue: Proceedings of the 33rd conference on Current Trends in Theory and Practice of Computer Science (2007)

Sizes of quantum and deterministic finite state transducers are compared in the case when both quantum and deterministic finite state transducers exist. The difference in size may be exponential.
Quantifying Effects of Class I Anti-arrhythmic Drugs in Human Virtual Cardiac Tissues
Authors: Alan P. Benson, Jennifer A. Lawrenson, Stephen H. Gilbert, Arun V. Holden
Venue: Proceedings of the 4th international symposium on Biomedical Simulation (2008)

Ventricular tachycardia and fibrillation are dangerous cardiac arrhythmias. Anti-arrhythmic drugs such as lidocaine (a class I drug) reinstate normal sinus rhythm, but they have pro-arrhythmic side effects and their mechanisms of action are poorly understood. We used computational models of human ventricular tissues to elucidate and quantify these mechanisms.
Thyroid Texture Representation via Noise Resistant Image Features
Authors: Eystratios G. Keramidas, Dimitris K. Iakovidis, Dimitris Maroulis, Nikos Dimitropoulos
Venue: Proceedings of the 2008 21st IEEE International Symposium on Computer-Based Medical Systems (2008)

The robustness of textural features on speckle noise is of vital importance for ultrasound imaging. A set of novel fuzzy features for thyroid ultrasound texture representation, demonstrating noise-resistant properties, is presented, analyzed and evaluated in this study. The textural feature extraction scheme is based on the fuzzyfication of the local binary pattern approach. The proposed features are evaluated on an annotated dataset of B-mode thyroid ultrasound images acquired from 75 patients. The experimental results illustrate that these features provide accurate representation of the thyroid texture. They can be effectively utilized for thyroid nodule detection outperforming other thyroid texture representation approaches that have been recently proposed in the literature.
Inquiring training and employment offers on the web using web services
Authors: Nikolaos V. Karadimas, Nikolaos P. Papastamatiou
Venue: Proceedings of the 8th WSEAS International Conference on Multimedia systems and signal processing (2008)

The fact is that throughout Europe, the civil servants have similar needs when it comes to accessing information on training and employment opportunities in order to deliver the best possible service to the public, especially sensitive groups such as unemployed individuals and/or members of underprivileged groups (immigrants, young and elderly, individuals lacking professional qualifications, one-parent families, etc). This work describes an integrated system based on Web Services that collects and offers up-to-date information on training and job offers from different web sources matched to the needs of each case. The system will help civil servants to connect the public needs to employment requests and training opportunities combining different web resources on an individual basis, minimizing at the same time communication expenses, data replication and expiration.
The Direct Neural Control Applied to the Position Control in Hydraulic Servo System
Authors: Yuan Kang, Yi-Wei Chen, Yeon-Pun Chang, Ming-Huei Chu
Venue: Proceedings of the 5th international symposium on Neural Networks: Advances in Neural Networks, Part II (2008)

This study utilizes the direct neural control (DNC) based on back propagation neural networks (BPN) with specialized learning architecture applied to control the position of a cylinder rod in an electro-hydraulic servo system (EHSS). The proposed neural controls without the specified reference model use a tangent hyperbolic function as the activation function, and the back propagation error is approximated by a linear combination of error and error's differential. The hydraulic cylinder subjected to varied load is also proposed. The simulation and experiment results reveal that the proposed neural controller is available to position control with high convergent speed, and enhances the adaptability and stability in varied load condition.
The LIA RT'07 Speaker Diarization System
Authors: Corinne Fredouille, Nicholas Evans
Venue: Multimodal Technologies for Perception of Humans: International Evaluation Workshops CLEAR 2007 and RT 2007, Baltimore, MD, USA, May 8-11, 2007, Revised Selected Papers (2008)

This paper presents the LIA submission to the speaker diarization task of the 2007 NIST Rich Transcription (RT'07) evaluation campaign. We report a system optimised for conference meeting recordings and experiments on all three RT'07 subdomains and microphone conditions. Results show that, despite state-of-the-art performance for the single distant microphone (SDM) condition, in its current form the system is not effective in utilising the additional information that is available with the multiple distant microphone (MDM) condition. With post evaluation tuning we achieve a DER of 19% on the MDM task with conference meeting data. Some early experimental work highlights both the limitations and potential of utilising between-channel delay features for diarization.
IDEA cryptographic processor in FPGA
Authors: Parimal Patel, Chirag Parikh
Venue: Journal of Computational Methods in Sciences and Engineering (2005)

In modern systems, data security is needed more than ever before as it helps in keeping private data private. In today's world where data communications, distributed data processing, financial transactions, and multilevel sharing of data resources has become an important aspect of computer system and an integral part of day-to-day function, cryptography is the only way of ensuring data security. Many algorithms exist which can be categorized as Symmetric or Asymmetric algorithms. This paper presents International Data Encryption Algorithm (IDEA) - its advantages, disadvantages, hardware implementation considerations in Field Programmable Gate Arrays (FPGA), resource utilization and achievable performance. The algorithm analysis and the optimization techniques used are described. Implementation results are compared to the commercial implementation solutions.
Value object
Authors: Dirk Riehle
Venue: Proceedings of the 2006 conference on Pattern languages of programs (2006)

Implement datatypes as immutable classes so that their instances can be handled similar to built-in values.