ppxscal/embedding_network huggingface dataset:
An alternative diagrammatical representation of wind data
Authors: Fakhrulrozi Hussain, Yong Zulina Zubairi, Abdul Ghapor Hussin
Venue: Proceedings of the 12th WSEAS International Conference on Applied Mathematics (2007)

Rose diagram is often used for diagrammatical representation of circular data. In this study, an alternative method of representation of circular data is described. Using the wind data collected at various stations by the Malaysian Meteorological Services throughout parts of Malaysia to monitor the patterns of the climatic changes in Malaysia, Wind diagram and Spoke plot are developed to visually describe the data as well as calculate the correlation value. This program has great potential in providing an alternative analysis of circular data.
An analytical flow control scheme for real-time traffic in wireless mesh network: from theoretic model to practical mechanism
Authors: Yongqiang Liu, Tong Zhao, Zhongyi Liu, Wei Yan, Xiaoming Li
Venue: Proceedings of the 4th international conference on mobile technology, applications, and systems and the 1st international symposium on Computer human interaction in mobile technology (2007)

The link interference and multi-hop characters make Wireless Mesh Network (WMN) performance can not be tuned well by local information. We propose an analytical flow control scheme (AFCS) based on the optimal bandwidth allocation model that is specifically designed for the unique characteristics of WMN. The original contribution incorporated in a flow contention model of WMN based on maximal link interference region. With the contention constraint, the optimality of bandwidth allocation can be achieved by maximizing the aggregated utility across all flows. We then deduce a practical equation for adjusting sending rate from the bandwidth allocation model. Based on the simplified analytical equation and the congestion notification message mechanism, we propose an equation-based flow control framework for real-time traffic in WMN. Simulation results have shown the AFCS can improve the capacity of the WMN by 40% and alleviate the unfairness and delay jitter greatly. The fast response, fairness and steadiness characters of the AFCS are helpful for rigorous real-time traffic and dynamic wireless network.
Development of a humanoid robot for emotion recognition
Authors: Young-Geun Shin, Sang-Sung Park, Jung-Nyun Kim, Dong-Sik Jang
Venue: Proceedings of the 5th WSEAS International Conference on Computational Intelligence, Man-Machine Systems and Cybernetics (2006)

This paper deals with a humanoid robot system of recognizing human's expression from a detected human's face and then showing human's emotion. A face detection method is as follows. First, change RGB color space to CIElab color space. Second, extract skin candidate territory. Third, detect a face through facial geometrical interrelation by face filter. Then, the position of eyes, a nose and a mouth which are used as the preliminary data of expression recognition are distinguished using geometrical features. Usually, when a person shows expression, he uses eyebrows, eyes and a mouth. In this paper, the change of eyebrows and a mouth are used as feature values of expression recognition. Feature values which are gained in this way are sent to a robot through serial communication. Then the robot operates a motor that is installed and shows human's emotion. The result of experiments on 60 persons shows 77.9% accuracy.
Parameterization of a process-based tree-growth model: Comparison of optimization, MCMC and Particle Filtering algorithms
Authors: C. Gaucherel, F. Campillo, L. Misson, J. Guiot, J. -J. Boreux
Venue: Environmental Modelling Software (2008)

Finely tuned process-based tree-growth models are of considerable help in understanding the variations of biomass increments measured in the dendrochronological series. Using site and species parameters, as well as daily climate variables, the MAIDEN model computes the water balance at ecosystem level and the daily increment of carbon storage in the stem through photosynthesis processes to reproduce the structure of the tree-ring series. In this paper, we use three techniques to calibrate this model with Pinus halepensis data sampled in the Mediterranean part of France: a standard optimization (PEST), Monte Carlo Markov Chains (MCMC) and Particle Filtering (PF). Contrary to PEST, which tries to find an optimum fit (giving the lowest error between observations and simulations), the principle of MCMC and PF is to walk, from a priori distributions, in the parameter space according to particular statistical rules to compute each parameter distribution. The PEST and MCMC calibrations of our dendrochronological series lead to rather similar adjustments between simulations and observations. PF and MCMC calibrations give different parameter distributions, showing how complementary are these methods, with a better fit for MCMC. Yet, independent validations over 11 independent meteorological years show a higher efficiency of the recent PF method over the others.
e2-MES: an e-service-driven networked manufacturing platform for extended enterprises
Authors: P. -Y. Jiang, G. -H. Zhou, G. Zhao, Y. -F. Zhang, H. -B. Sun
Venue: International Journal of Computer Integrated Manufacturing (2007)

Currently, networked manufacturing is regarded as a new manufacturing mode. Extended enterprise is a type of new organizational mode of enterprises for networked manufacturing, which has become the key point for enterprises winning competitions in global markets. Nowadays, many researches and major contributions have been found on networked manufacturing and extended enterprise from academic to industrial areas. However, they mainly focus on partial conceptual/theoretical and practical application fields. How to build the models for networked manufacturing and extended enterprise, satisfactorily control the manufacturing processes at the level of extended enterprise, etc. is becoming a bottleneck. In order to overcome these limitations, on the basis of the philosophy of services driving manufactures, a kind of e-service-driven networked manufacturing model is put forward. In order to implement this model some key enabling techniques are discussed in detail. These include: e-formalizing bottom manufacturing resources; up-streaming manufacturing data; generating an extended enterprise tree that consists of core enterprise and co-enterprises based on products to be manufactured; configuring a networked manufacturing executive system at the level of extended enterprise; scheduling the manufacturing processes by means of the bottom-up strategy; tracking the manufacturing processes in the range of extended enterprise; and collaborating in the manufacturing processes. Furthermore, a test bed called e2-MES is developed with Java web solution. The running example from the industry indicates that the above ideas are feasible and practical.
ProTaR: an infrastructure IP for repairing RAMs in system-on-chips
Authors: Chao-Da Huang, Jin-Fu Li, Tsu-Wei Tseng
Venue: IEEE Transactions on Very Large Scale Integration (VLSI) Systems (2007)

Complex system-on-a-chip (SOC) designs usually consist of many memory cores. Efficient yield-enhancement techniques thus are required for the memory cores in SOCs. This paper presents an infrastructure intelligent property (IIP) for testing, diagnosing, and repairing multiple memory cores in SOCs. The proposed IIP can perform parallel testing for multiple memories, and serial diagnosis or repair for one memory each time. In the repair mode, the proposed IIP can execute various redundancy analysis algorithms. Therefore, the user can select a better redundancy analysis algorithm for each memory core being tested according to its redundancy structure. Simulation results show that the proposed IIP needs less test time and redundancy analysis time than the processor-based built-in self-repair scheme. We also have realized the proposed IIP for four types of memories--two 8 K × 64 bit SRAMs, one 4 K × 16 bit SRAM, and one 2 K × 32 bit SRAM--based on TSMC 0.18-µm standard cell technology. Simulation results show that the area overhead of the IIP is only about 4.6%.
Paradigm Shift in Simulation Methodology and Practice - Separation of Modelling the Physical System Behaviour and Control Modelling
Authors: Wolfgang Kuehn
Venue: Proceedings of the Tenth International Conference on Computer Modeling and Simulation (2008)

Simulation technology offers within the digital factory concept an important approach to enhance the product and production engineering processes. Simulation models on different levels of detail can be applied in virtual models on various planning levels and stages in order to improve the planning process. However today’s simulation methodology and practice suffers some problems which lead in many industrial projects to a dead end. Therefore a paradigm shift in simulation methodology and practice is proposed. The clear separation of modelling the physical system behaviour and modelling controls will lead to a better integrated of simulation into the planning and implementation processes. Compatible interfaces between simulation modules and the control systems shall enable to switch between simulation modules and real system components. This concept can be applied in the digital factory environment even to enhance the operative production process.
Localized distance-sensitive service discovery in wireless sensor networks
Authors: Xu Li, Nicola Santoro, Ivan Stojmenovic
Venue: Proceeding of the 1st ACM international workshop on Foundations of wireless ad hoc and sensor networking and computing (2008)

In this paper, we identify a new problem in wireless sensor networks, distance sensitive service discovery, where nearby or closest service selection guarantee is expected. We propose a lightweight solution algorithm, iMesh, which uses no global computation and generates constant per node storage load. In iMesh, service providers construct a localized planar structure, information mesh, using the existing blocking rule enhanced with a newly proposed expansion rule. The information mesh possesses good proximity property and serves as service directory. Service consumers conduct a lookup process restricted within their home mesh cells to discover nearby services. We first analytically study its properties over a grid network model. Then we evaluate its performance in randomized network scenarios by extensive simulation. Simulation results indicate that iMesh guarantees nearby (closest) service selection with very high probability >99% (resp., >97%) at considerably low message cost.
Homogeneous measures and polynomial time invariants
Authors: L. A. Levin
Venue: Proceedings of the 29th Annual Symposium on Foundations of Computer Science (1988)

The usual probability distributions are concentrated on strings that do not differ noticeably in any fundamental characteristics, except their informational size (Kolmogorov complexity). The formalization of this statement is given and shown to distinguish a class of homogeneous probability measures suggesting various applications. In particular, it could explain why the average case NP-completeness results are so measure-independent and could lead to their generalization to this wider and more invariant class of measures. It also demonstrates a sharp difference between recently discovered pseudorandom strings and the objects known before.
Business Process Development in Semantically-Enriched Environment
Authors: Iman Poernomo, Timur Umarov
Venue: Proceedings of the Fifth International Conference on Information Technology: New Generations (2008)

Middleware support for business process management (BPM) has met some of the challenges with respect to encoding, performance and maintenance of workflows. A remaining challenge is complexity: business processes are becoming widely distributed, interoperating across a range of inter- and intra-organizational behaviours, vocabularies and semantics. It is important that this semantic complexity is checked and analyzed for optimality and trustworthiness prior to deployment. Petri nets are a formal method that successfully provides behavioural analysis. A shortcoming of Petri nets is that the data exchanged between business activities abstract too far away from the importance of data in actual business processes. This paper addresses this abstraction gap via additional semantic enrichment, through a two stage, model-driven approach.
High and low speed output buffer design with reduced switching noise for USB applications
Authors: Hwang-Cherng Chow, C. Huang, Hsing-Chung Liang
Venue: Proceedings of the 9th International Conference on Circuits (2005)

Novel frequency doubler circuits and dividers for clock signal generation are presented. In combination with two edge detectors and two duty cycle control buffers a low cost frequency doubler circuit is achieved as compared to Phase-Locked Loop (PLL) design. An input clock signal with an unpredictable duty cycle is inputted to a rising (or falling) edge detector. The edge detector converts the positive (or negative) transitions to a one shot pulse train whose frequency is the same as that of the input clock. However, the one shot pulse train has its duty cycle far less than 50%. By a first 50% duty cycle control buffer the output waveform of the resulted clock signal is symmetrical. The output of the first-stage duty cycle buffer is then edge detected by a rising and falling edge detector, so that the resulted one shot pulse train has twice the frequency of the incoming 50% duty cycle signal. Finally, the second one shot signals are duty cycle adjusted in the second-stage duty cycle control buffer, to restore its 50% duty cycle. Therefore, two times frequency multiplication is achieved with low cost as compared to Phase-Locked Loop (PLL) design. Furthermore, a novel design approach for frequency dividers using duty cycle control circuit is also demonstrated. Simulation results for both frequency multiplication and division confirm the validity of the proposed design approach.
SPSS 15.0 Guide to Data Analysis, 1 Pap/Cdr edition
Authors: Marija Norusis
Venue:  (2007)

The SPSS 15.0 Guide to Data Analysis is a friendly introduction to both data analysis and SPSS, the worlds leading desktop statistical software package. Easy-to-understand explanations and in-depth content make this guide both an excellent supplement to other statistics texts and a superb primary text for any introductory data analysis course. With the SPSS 15.0 Guide to Data Analysis, you get a jump-start on describing data, testing hypotheses, and examining relationships using SPSS. Author Marija Noruis incorporates a wealth of data, including the General Social Survey and studies of Internet usage, opinions of the criminal justice system, marathon running times, library patronage, and the importance of manners. These data files are supplied with the book and are used throughout the examples and expanded chapter exercises. This unique combination of examples, exercises, and contemporary data gives you hands-on experience in analyzing data and makes learning about data analysis and statistical software relevant, unintimidating, and even fun! A data CD-ROM is included with this book.
Seeking ABET accreditation of a computer science program at a public regional university
Authors: Mike Gourley, Gang Qian, Hong Sung, Thomas Turner
Venue: Journal of Computing Sciences in Colleges (2008)

This paper relates the effort to seek ABET accreditation by the Department of Computer Science at the University of Central Oklahoma (UCO). We present an overview of the process of ABET and the timeline of significant events prior to the on-site visit at UCO by an ABET evaluation team. The focus of paper is the lessons learned during the several years of preparation. We summarize the suggestions offered to the department by the ABET evaluation team and conclude by enumerating the assets and liabilities the department received.
Self-tuning control based on generalized minimum variance criterion for auto-regressive models
Authors: Anna Patete, Katsuhisa Furuta, Masayoshi Tomizuka
Venue: Automatica (Journal of IFAC) (2008)

Theoretical problems on self-tuning control include stability, performance and convergence of the recursive algorithm involved. In this paper, the problem of controlling minimum or non-minimum phase auto-regressive models with constant but unknown parameters is considered. The stability of an algorithm obtained by combining a recursive estimator for the controller parameters and a generalized minimum variance criterion is proved. The main result is the theorem which assures the overall stability for the closed-loop system in presence of white noise in the input-output relation, where the estimated parameters do not necessarily converge to the true values. The algorithm is proved by the Lyapunov theory.
The real-time AROMA testbed for all-IP heterogeneous wireless access networks
Authors: A. Umbert, M. López-Benítez, F. Bernardo, N. Vučević, R. Azevedo, A. Oliveira
Venue: Proceedings of the 4th International Conference on Testbeds and research infrastructures for the development of networks & communities (2008)

This paper describes the real-time testbed that has been developed in the framework of the European AROMA project. The objective of the AROMA project is to devise and assess a set of specific resource management strategies and algorithms for both the access and core network parts of an all-IP heterogeneous wireless access network that guarantee the end-to-edge quality of service. The complexity of the interaction between Beyond 3G systems and user applications, while dealing with the quality of service concept, motivates the development of this kind of emulation platforms, where algorithms and applications can be tested in realistic conditions that could not be achieved by means of offline simulations.
Efficient Monitoring of Embedded Real-Time Systems
Authors: João Cadamuro Junior, Douglas Renaux
Venue: Proceedings of the Fifth International Conference on Information Technology: New Generations (2008)

Verification of time constraints in embedded real-time systems is particularly hard due to resource restrictions on the target hardware and lack of methods and support tools. In an attempt to overcome this last limitation, a monitoring approach based on hybrid monitoring is proposed. This approach is a part of a project devoted to the verification of time constraints in embedded real-time systems.
Piezoresistive effect in GaAs/InxGa1-xAs/AlAs resonant tunneling diodes for application in micromechanical sensors
Authors: Xiong Jijun, Wang Jian, Zhang Wendong, Xue Chenyang, Zhang Binzhen, Hu Jie
Venue: Microelectronics Journal (2008)

The current-voltage characteristics of GaAs/In"xGa"1"-"xAs/AlAs resonant tunneling diodes (RTDs) are a function of stress, and the current-voltage changes of RTDs with stress are attributed to the piezoresistive effect in RTDs. In order to study the piezoresistive effect in RTDs for application in micromachined mechanical sensors, the beam-mass structure based on RTDs is designed, fabricated and tested by the Wheatstone bridge test circuit. The test results show that the piezoresistive sensitivity of RTDs can be adjusted through the bias voltage, and the maximal piezoresistive sensitivity of RTDs with bias voltage at 0.618V is 7.61x10^-^1^1Pa^-^1, which is two orders higher than the minimal piezoresistive sensitivity (2.03x10^-^1^3Pa^-^1) of RTDs with bias voltage at 0.656V, and is also higher than the piezoresistive sensitivity of silicon material (5.52x10^-^1^1Pa^-^1).
Multihop cellular networks: Technology and economics
Authors: Xue Jun Li, Boon-Chong Seet, Peter Han Joo Chong
Venue: Computer Networks: The International Journal of Computer and Telecommunications Networking (2008)

Recently, multihop cellular networks (MCNs) were proposed to preserve the advantages of traditional single-hop cellular networks with multihop ad hoc relaying networks, while minimizing the drawbacks that they involved. In this way, MCNs enhance the performance of both the existing cellular networks and ad hoc networks. Consequently, MCN-type system is considered as a promising candidate of fourth generation (4G) wireless network for future mobile communications. This paper surveys a number of MCN-type architectures in literature through a comprehensive comparison and discussion among the proposed architectures. The discussion is divided into two phases. In the first phase, we review the concept of MCN and compare the selected MCN-type architectures from a technology perspective. In the second phase, we further compare and discuss the economic perspective on the deployment of MCNs. Specifically, we focus on the economic considerations for deploying relays in MCN-type systems.
A comparative study of statistical features of language in blogs-vs-splogs
Authors: Soumya Datta, Sudeshna Sarkar
Venue: Proceedings of the second workshop on Analytics for noisy unstructured text data (2008)

Language usage in Blogs deviate from the language used in traditional corpora largely due to the noise from various causes like spelling errors, grammatical irregularity, overuse of abbreviations and symbolic characters like emoticons. Spam Blogs or Splogs comprise the subset of blogs, which are usually written to target specific audience for marketing promotions and are mostly generated by software that readily imitates Zipfian distribution of words. Therefore it becomes a difficult task to separate splogs from non-splogs using only frequentist distribution of unigrams. In this detailed comparative study we present and highlight several additional statistical features of language, which are hard to imitate and serve as good discriminator between splogs and blogs.
Absorbing boundary conditions for nonlinear Euler and Navier-Stokes equations based on the perfectly matched layer technique
Authors: Fang Q. Hu, X. D. Li, D. K. Lin
Venue: Journal of Computational Physics (2008)

Absorbing boundary conditions for the nonlinear Euler and Navier-Stokes equations in three space dimensions are presented based on the perfectly matched layer (PML) technique. The derivation of equations follows a three-step method recently developed for the PML of linearized Euler equations. To increase the efficiency of the PML, a pseudo mean flow is introduced in the formulation of absorption equations. The proposed PML equations will absorb exponentially the difference between the nonlinear fluctuation and the prescribed pseudo mean flow. With the nonlinearity in flux vectors, the proposed nonlinear absorbing equations are not formally perfectly matched to the governing equations as their linear counter-parts are. However, numerical examples show satisfactory results. Furthermore, the nonlinear PML reduces automatically to the linear PML upon linearization about the pseudo mean flow. The validity and efficiency of proposed equations as absorbing boundary conditions for nonlinear Euler and Navier-Stokes equations are demonstrated by numerical examples.
Field evaluation of a protocol for data transmission through the distribution lines of the low voltage grid
Authors: Pedro J. Trujillo Tarazona
Venue: Proceedings of the 2007 Euro American conference on Telematics and information systems (2007)

The main characteristics of "PowerBus&trade;" 1, a protocol for data transmission over the power lines in a low voltage distribution grid, are described. They were verified through the field evaluation of a small master/slave network applied to the reading of meters of the electrical power consumption. Some conclusions and results, framed in the context of automatic reading of meters "AMR", are settled down. Se describen las principales caracter&iacute;sticas del protocolo "PowerBus&trade;" 1, para transmisi&oacute;n de datos por las l&iacute;neas de distribuci&oacute;n de baja tensi&oacute;n, verificadas a trav&eacute;s de la evaluaci&oacute;n de campo de una peque&ntilde;a red maestro/esclavo aplicada a la lectura de medidores del consumo de energ&iacute;a el&eacute;ctrica. Se establecen algunas conclusiones y resultados enmarcados en el contexto de lectura autom&aacute;tica de medidores "AMR".