ppxscal/embedding_network huggingface dataset:
Analysis, design, and implementation of a high-efficiency full-wave rectifier in standard CMOS technology
Authors: Gaurav Bawa, Maysam Ghovanloo
Venue: Analog Integrated Circuits and Signal Processing (2009)

In this paper we present analysis, design, and implementation of a high-efficiency active full-wave rectifier in standard CMOS technology. The rectifier takes advantage of the dynamic voltage control of its separated n-well regions, where the main rectifying PMOS elements have been implemented in order to eliminate latch-up and body effect. To minimize rectifier dropout and improve AC---DC power conversion efficiency (PCE), all the MOSFET switching elements have been pushed into deep triode region to minimize their resistance along the main current path during conduction. A prototype rectifier was implemented in the AMI 0.5-μm 3M/2P n-well CMOS process. An input sinusoid of 5 V peak at 0.5 MHz produced 4.36 V DC output across a $$1\,\hbox{k}\Upomega\Vert 1\,\mu\hbox{F}$$ load, resulting in a measured PCE of 84.8%.
Determination of part orientation to minimize post-machining in laminated object manufacturing using genetic algorithm
Authors: Dae Keon Ahn, Seok Hee Lee, Jeong Il Song, Soon Man Kwon
Venue: Proceedings of the 8th WSEAS international conference on Artificial intelligence, knowledge engineering and data bases (2009)

Laminated object manufacturing (LOM) is a rapid prototyping (RP) technology which can rapidly fabricate 3D physical model using layered manufacturing (LM) process. Hence, the RP such as LOM has been widely applied in manufacturing fields. However, the surface of the RP processed part is excessively rough to use industrial purpose due to the LM process itself. In order to improve the surface quality, additional post-machining such as coating and grinding process is required. These machining, however, are also detrimental to the original geometry of the part and is time consuming. In this paper, an intelligent methodology is proposed to minimize the machining area (PMA). An expression of the distribution of surface roughness is presented and the PMA is defined as an objective. Also, a genetic algorithm is applied to obtain reliable solution for complicated 3D CAD models which represent general industrial part. By implementing several applications, validity of the proposed methodology is demonstrated.
ICT in the context of public sector service delivery: a Malaysian perpective
Authors: Maniam Kaliannan, Murali Raman, Magiswary Dorasamy
Venue: WSEAS TRANSACTIONS on SYSTEMS (2009)

This paper examines the implementation of various e-Government projects in Malaysia since it was launched in 1996. The paper will discusses the challenges and issues related to these projects and suggest some recommendations as improvement tool to uplift the e-Government program to greater heights. Essentially our findings suggests that apart from technical considerations, the true value potential of ICT utilization in the context of public sector delivery in Malaysia is contingent upon several factor spanning across legislative, procedural, managerial and organizational imperatives.
Plenary lecture 3: flexibility in mathematics education: leveraging the power of the spreadsheet
Authors: Steve Sugden
Venue: Proceedings of the 15th american conference on Applied mathematics (2009)

The common electronic spreadsheet may conjure up visions of accounting or auditing applications, however, it is a vastly underrated tool when it comes to illustration and modelling of mathematical fundamentals. In 2002, the speaker established the electronic journal Spreadsheets in Education http://epublications.bond.edu.au/ejsie/. It was set up to provide a focus for researchers and teachers to share their ideas and experiences of using the modern electronic spreadsheet as a teaching tool. The journal is devoted to the publication of peer-reviewed articles which provide a focus for advances in our understanding of the role that spreadsheets can play in constructivist educational contexts. The first number of volume three of the journal was published in June 2008. The journal is fully open access. The presentation will give a brief overview of major insights gleaned by researchers of roles played by the ubiquitous spreadsheet over the past 25 years in educational contexts. Following this, some examples will be given where Microsoft Excel is used to illustrate and model mathematical concepts, including applications to elementary financial and discrete mathematics.
Microsoft Certified Application Specialist Exam Reference for Microsoft Office 2007, 1st edition
Authors: Rachel Biheller Bunin, Jennifer T. Campbell, Barbara Clemens, Pamela Conrad, Lisa Ruffolo
Venue:  (2007)

A great companion for any Course Technology title that covers Microsoft Office 2007 skills! Step-by-step reviews of skills prepare learners for the Microsoft Certified Application Specialist Exams (formerly known as MOS). It is designed for use as a quick reference tool for last minute test prep, or as a refresher tool for users who need a fast review of specific skills.
Architecture of an Integrated Software-Hardware System for Accelerated Image Processing
Authors: Bogusław Cyganek
Venue: Proceedings of the International Conference on Computer Vision and Graphics: Revised Papers (2008)

The paper presents an architecture and features of a hybrid software/hardware system aimed at acceleration of image processing. Special design methodology of the software layers has been undertaken to meet the requirements of hardware and software cooperation. The front end consists of a fixed software interface. On the other hand, implementation variability is embedded into the complementary software and hardware layers, from which the best implementation can be selected in run time. The basic properties of the system are presented with some applications and discussion of further steps.
&#x201c;Best K&#x201d;: critical clustering structures in categorical datasets
Authors: Keke Chen, Ling Liu
Venue: Knowledge and Information Systems (2009)

The demand on cluster analysis for categorical data continues to grow over the last decade. A well-known problem in categorical clustering is to determine the best K number of clusters. Although several categorical clustering algorithms have been developed, surprisingly, none has satisfactorily addressed the problem of best K for categorical clustering. Since categorical data does not have an inherent distance function as the similarity measure, traditional cluster validation techniques based on geometric shapes and density distributions are not appropriate for categorical data. In this paper, we study the entropy property between the clustering results of categorical data with different K number of clusters, and propose the BKPlot method to address the three important cluster validation problems: (1) How can we determine whether there is significant clustering structure in a categorical dataset? (2) If there is significant clustering structure, what is the set of candidate &#x201c;best Ks&#x201d;? (3) If the dataset is large, how can we efficiently and reliably determine the best Ks?
Functionally biarticular control for smart prosthetics
Authors: Brent Gillespie, John Baker, Marcia O'Malley, Patricia Shewokis, Jose Luis Contreras-Vidal
Venue: Proceedings of the World Haptics 2009 - Third Joint EuroHaptics conference and Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems (2009)

In this paper we introduce the use of force feedback in conjunction with myoelectric control to establish an improved interface for a powered prosthetic limb. The force feedback is delivered through a single-axis exoskeleton worn about the elbow, while the EMG signal is derived from the biceps muscle. This combination is intended to produce a sense of effort in the biceps that is associated with the action of the motorized prosthetic gripper. The method engages both efferent and afferent signals innervating a functional muscle with the aim of realizing a muscle that is effectively biarticular. The controlling muscle spans one joint physiologically and a second, prosthetic joint functionally. Preliminary experiments have demonstrated that force feedback can substitute for vision during grasp and lift tasks.
Fusion of Fuzzy Automata
Authors: Qinge Wu, Tuo Wang, Yongxuan Huang, Jisheng Li
Venue: Proceeding of the 2006 conference on Advances in Intelligent IT: Active Media Technology 2006 (2006)

The fusion of fuzzy automata for solving some complicated problems will be discussed by various fuzzy automata (FA) discussed. We here describe a fusion method for encoding any FA into fuzzy recurrent neural networks architecture. The state transition matrix and model transition probability matrix and noise matrix are all fuzzy and will be given. The algorithm for encoding FA's in second-order recurrent neural networks will be shown.
Authorization through trust chains in ad hoc grids
Authors: Ladislav Huraj, Vladimír Siládi
Venue: Proceedings of the 2009 Euro American Conference on Telematics and Information Systems: New Opportunities to increase Digital Citizenship (2009)

Secure environment is a top-priority for all the forms of grid computing. To establish trust, traditional grids use various methods, mostly centrally oriented ones, such as certification authorities, VO management servers or credentials pools. Ad hoc grids are characterized by the absence of a central trust authority; therefore collaborating entities must establish and maintain a trust relationship among themselves. The paper presents a short overview of ad hoc grids, the definitions as well as authentication and authorization mechanisms of the environment. We design a proposal of an authorization mechanism for faster and easier formation of virtual organizations in ad hoc grid based on SPKI delegation chains where the delegation chains act as trust chains, even if they do not refer to target users.
Learning teaching strategies in an Adaptive and Intelligent Educational System through Reinforcement Learning
Authors: Ana Iglesias, Paloma Martínez, Ricardo Aler, Fernando Fernández
Venue: Applied Intelligence (2009)

One of the most important issues in Adaptive and Intelligent Educational Systems (AIES) is to define effective pedagogical policies for tutoring students according to their needs. This paper proposes to use Reinforcement Learning (RL) in the pedagogical module of an educational system so that the system learns automatically which is the best pedagogical policy for teaching students. One of the main characteristics of this approach is its ability to improve the pedagogical policy based only on acquired experience with other students with similar learning characteristics. In this paper we study the learning performance of the educational system through three important issues. Firstly, the learning convergence towards accurate pedagogical policies. Secondly, the role of exploration/exploitation strategies in the application of RL to AIES. Finally, a method for reducing the training phase of the AIES.
Chronicles for On-line Diagnosis of Distributed Systems
Authors: Xavier Le Guillou, Marie-Odile Cordier, Sophie Robin, Laurence Rozé
Venue: Proceeding of the 2008 conference on ECAI 2008: 18th European Conference on Artificial Intelligence (2008)

The formalism of chronicles has been proposed to monitor and diagnose dynamic physical systems. Even if efficient chronicle recognition algorithms exist, it is now well-known that distributed approaches are better suited to monitor real systems. In this article, we adapt the chronicle-based approach to a distributed context and illustrate this work on the monitoring of software components.
A novel minimal Arabic script for preparing databases and benchmarks for Arabic text recognition research
Authors: Husni A. Al-Muhtaseb, Sabri A. Mahmoud, Rami S. Qahwaji
Venue: Proceedings of the 3rd WSEAS international symposium on Wavelets theory and applications in applied mathematics, signal processing & modern science (2009)

This work presents a minimal Arabic script that may be used in training and testing of Arabic text recognition systems. Collecting handwritten samples from different writers to build handwritten text databases which may be used for benchmarking Arabic text recognition systems is another application. The suggested Arabic script covers the different shapes of Arabic alphabet in all positions (viz. standalone, initial, medial, and terminal). The frequency of each shape in the minimal text is designed to be the minimal possible. The suggested script is novel from different perspectives. A writer may participate with only three lines of meaningful Arabic text to cover all possible alphabet shapes, a total of 125 shapes. Collecting scripts from different writers provide evenly distributed letter frequencies that assure enough samples for all character shapes. This enables proper training resulting in more accuracy in the recognition phase. The same can be stated for printed Arabic text. This is especially useful when using large number of features with classifiers that require large number of samples for each category. Hidden Markov Models and Neural networks are two examples of these classifiers. In addition, the paper presents statistical analysis of Arabic corpora for estimating the number of occurrences of different shapes of Arabic alphabets in large corpora. The frequency of Arabic alphabet usage was utilized in enhancing the search for the minimal Arabic text.
A modular absolute bound condition for primitive association schemes
Authors: Akihide Hanaki, Ilia Ponomarenko
Venue: Journal of Algebraic Combinatorics: An International Journal (2009)

The well-known absolute bound condition for a primitive symmetric association scheme (X,S) gives an upper bound for |X| in terms of |S| and the minimal non-principal multiplicity of the scheme. In this paper we prove another upper bounds for |X| for an arbitrary primitive scheme (X,S). They do not depend on |S| but depend on some invariants of its adjacency algebra KS where K is an algebraic number field or a finite field.
Automated Provenance Collection for CCA Component Assemblies
Authors: Kostadin Damevski, Hui Chen
Venue: Proceedings of the 9th International Conference on Computational Science: Part I (2009)

The problem of capturing provenance for computational tasks has recently received significant attention, due to the new set of beneficial uses (for optimization, debugging, etc.) of the recorded data. We develop a provenance collection system aimed at scientific applications that are based on the Common Component Architecture (CCA) that alleviates scientists from the responsibility to manually instrument code in order to collect provenance data. Our system collects provenance data at the granularity of component instances, by automatically recording all method invocations between them, including all input and output parameters. By relying on asynchronous communication and using optimizations to handle large data arrays, the overhead of our system is low-enough to allow continuous provenance collection. The ACM Portal is published by the Association for Computing Machinery. Copyright © 2010 ACM, Inc. Terms of Usage Privacy Policy Code of Ethics Contact Us Useful downloads: Adobe Acrobat QuickTime Windows Media Player Real Player
Improving data mining utility with projective sampling
Authors: Mark Last
Venue: Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining (2009)

Overall performance of the data mining process depends not just on the value of the induced knowledge but also on various costs of the process itself such as the cost of acquiring and pre-processing training examples, the CPU cost of model induction, and the cost of committed errors. Recently, several progressive sampling strategies for maximizing the overall data mining utility have been proposed. All these strategies are based on repeated acquisitions of additional training examples until a utility decrease is observed. In this paper, we present an alternative, projective sampling strategy, which fits functions to a partial learning curve and a partial run-time curve obtained from a small subset of potentially available data and then uses these projected functions to analytically estimate the optimal training set size. The proposed approach is evaluated on a variety of benchmark datasets using the RapidMiner environment for machine learning and data mining processes. The results show that the learning and run-time curves projected from only several data points can lead to a cheaper data mining process than the common progressive sampling methods.
Performance-driven motion choreographing with accelerometers
Authors: Xiubo Liang, Qilei Li, Xiang Zhang, Shun Zhang, Weidong Geng
Venue: Computer Animation and Virtual Worlds (2009)

Live performance is an intuitive way to naturally draft the desired motion in the choreographer's mind. In this paper we present a novel approach to choreographing motions by live performance captured with degree of freedom (3-DOF) accelerometers. The process begins by placing the accelerometers on the user's limbs according to the pre-specified positions. The computer then recognizes the performed actions using Hidden Markov Model (HMM), which is pre-trained by the acceleration data samples automatically generated from a pre-segmented motion capture database. At last, the captured actions are further synthesized with motion retiming and exaggeration based on the acceleration signals from the accelerometers. This method can intuitively rapid-prototype the choreographed motions for pre-production of animation, the avatar control in virtual reality and game-like scenarios, etc. The experimental results show that it can effectively recognize actions with spatial-time variance, and is easy-to-use especially for a novice with little experience. Copyright &copy; 2009 John Wiley & Sons, Ltd. In this paper, we present a novel approach to creating and choreographing character animation using low-cost accelerometers based on the performer's movements. The goal of our research is to provide untrained users with an accelerometer-based interface for interactively choreographing complex human motions. It captures the movements of the performer with accelerometers, recognizes and interprets these movements based on a mocap database, and determines the motion data required to reproduce the desired movement of the performance.
A Realistic Simulation Testbed for Studying Game Playing in Robotic Soccer
Authors: Mahdi Asadpour, Mansour Jamzad
Venue: Proceeding of the 2005 conference on Self-Organization and Autonomic Informatics (I) (2005)

The main goal of any testbed is to facilitate the trial and evaluation of ideas that have promise in the real world. In fact, in a real platform several physical or hardware restrictions exist and maybe arise for an agent or robot. These restrictions affect the performance of implemented algorithms. To the best of our knowledge, at present, only RoboCup Soccer Server is a common testbed for simulating a soccer game, but it can not support the above mentioned physical limits on real robot. In order to overcome these problems, we designed and implemented a realistic simulation testbed called SharifCE. In addition, this testbed allows the user to define a probability for a fault occurred on any internal part of the robot. That is done by a fault injection procedure. Our experimental results convinced us that SharifCE Testbed is quite appropriate for Multiagent Systems (MAS); because not only it is similar to a real platform, but also it supports the necessities such as Movement, Communication, Supervision, Cooperation and Learning. As an experimental result, a practical implementation of this testbed is presented
Blind source separation for digital data protection
Authors: Nikolaos Doukas, Nikolaos V. Karadimas
Venue: Proceedings of the 10th WSEAS international conference on Mathematical methods, computational techniques and intelligent systems (2008)

Digital transmission is acquiring an ever increasing role in a variety of modern applications. As most of these applications demand data security assurances in order to be accepted by potential users and to be able to produce the desired results, there is an increasing demand for cryptographic techniques capable of providing these assurances. In paradigms like the mobile phone networks or IP networks, users either forfeit their need for security or rely on their service provider to satisfy their need, This paper is concerned with a low complexity technique for data protection that could be widely used as an affordable add-on in such cases.
A Flexible Approach for Business Processes Monitoring
Authors: Diana Comes, Steffen Bleul, Thomas Weise, Kurt Geihs
Venue: Proceedings of the 9th IFIP WG 6.1 International Conference on Distributed Applications and Interoperable Systems (2009)

Business processes and their implementation as Web Service Compositions are not only dependent on Web Services and partners all over the Internet, but also on their failsafe execution. Service providers have to obligate their services to perform according to negotiated Quality of Service (QoS) parameters. For example, response time and throughput are important parameters to achieve fast and efficient services. Overloaded or failing services may compromise the reliability and execution of whole enterprise processes.In this paper we introduce a flexible monitoring approach for the measurement of QoS in BPEL (Business Process Execution Language) processes. We propose a generic algorithm for QoS aggregation in BPEL processes. The novel generic aggregation algorithm applies customized aggregation functions for QoS dimensions. Furthermore, we present a BPEL monitoring system which supports ad-hoc sensor deployment and efficient runtime and offline data aggregation not only for whole process descriptions but also sections inside service processes.
Analyzing a Software Process Model Repository for Understanding Model Evolution
Authors: Martín Soto, Alexis Ocampo, Jürgen Münch
Venue: Proceedings of the International Conference on Software Process: Trustworthy Software Development Processes (2009)

Process models play a central role in the process improvement cycle. Often, large process models evolve in an ad-hoc manner, a fact that may easily have critical implications such as increased maintenance effort. This highlights the need for supporting the control and management of process model evolution, a kind of support that is currently widely missing. Analyzing existing model repositories in order to better understand model evolution can be seen as a first step towards identifying requirements for process model evolution support. This article presents a study that analyzes the evolution history of a large process model with the purpose of understanding model changes and their consequences. Besides the study description, the article provides an overview of related work, and suggests open questions for future work.
Security metrics for software systems
Authors: Ju An Wang, Hao Wang, Minzhe Guo, Min Xia
Venue: Proceedings of the 47th Annual Southeast Regional Conference (2009)

Security metrics for software products provide quantitative measurement for the degree of trustworthiness for software systems. This paper proposes a new approach to define software security metrics based on vulnerabilities included in the software systems and their impacts on software quality. We use the Common Vulnerabilities and Exposures (CVE), an industry standard for vulnerability and exposure names, and the Common Vulnerability Scoring System (CVSS), a vulnerability scoring system designed to provide an open and standardized method for rating software vulnerabilities, in our metric definition and calculation. Examples are provided in the paper, which show that our definition of security metrics is consistent with the common practice and real-world experience about software quality in trustworthiness.