Miracle-dz/UniFAR-FTUs huggingface dataset:
A power-spectrum based connection admission control for ATM networks

The power spectrum of the input process explicitly contains the correlation behavior of input traffic and has a great impact on the queueing behavior of an ATM network. In this paper, we propose a power-spectrum based connection admission control scheme for ATM networks. The DC component, the average power, and the half-power bandwidth are the key factors of the input power spectrum. Here, we use a method to approximate the QoS by the result obtained from the equivalent average power. Finally, we construct an admission control table which contains the performance measure for different loads and the equivalent average power. Whether a new call can be accepted or not is determined by table lookup. Simulation results show that our proposed power-spectrum based connection admission control is an efficient control method for ATM networks.
Syntactic Representations Considered for Frame-semantic Analysis

We address the question of which syntactic representation is best suited for FrameNet-based semantic analysis of English text. We compare analyzers based on dependencies and constituents, and a dependency syntax with a rich set of grammatical functions with one with a smaller set. Our study demonstrates that dependency-based and constituent-based analyzers give roughly equivalent performance, and that a richer set of functions has a positive influence on argument classification for verbs.
The Java Management Extensions (JMX)

The arrival of commodity hardware configurations with performance rivaling that offered by RISC workstations is resulting in important advances in the state of the art of building and running very large scalable clusters at “mass market” pricing levels. However, cluster middleware layers are still considered as static infrastructures which are not ready for evolution. In this paper, we claim that middleware layers based on both agent and Java technologies offer new opportunities to support clusters where services can be dynamically added, removed, and reconfigured. To support this claim, we present the Java management extensions, a new Java agent-based technology, and its application to implement two disjoint cluster management middleware services (a remote reboot service and a distributed infrastructure for collecting Log events) which share a unique agent-based infrastructure.
Hardware /Software Codesign of Image Processing Applications Using Transaction Level Modeling

Application-specific network-oriented communication architectures have recently become an effective solution to support high bandwidth Systems on-Chip. The Network on-Chip architectures considered so far range from regular to fully customized topologies for application-specific designs requiring high-level bandwidth. To this end, a network-centric design flow is necessary to support the design space exploration of complex SoCs with tight design constraints. This paper introduces four different approaches based on the orthogonalization of core mapping and topology customization applied to STNoC, the Network on-Chip developed by STMicroelecronics. The four methods are derived from the combination of the initial mappings to two standard topologies (ring and spidergon) with two types of topology customization based on the insertion of cross-links to reduce the network distance of standard topologies.
A Low-Complexity 3.6kbps Speech Coding Algorithm Based on Mixed Excitation

A low-complexity 3.6kb/s speech coding algorithm based on mixed excitation is presented in this paper. It uses the parameter encoding and mixed excitation technology to ensure the quality of speech. Through adopting the scalar quantization of Line Spectrum Frequency (LSF), the algorithm reduces the storage and computational complexity. Meanwhile, improved frame type with dynamic Unvoiced/Voiced (U/V) thresholds make a reduction of the traditional U/V decision error and the sudden transformation of U/V frame. A modified bit allocation table is introduced and the PESQ-MOS test shows that the synthetic speech quality has been improved and reached the quality of communication, especially for high frequency female speakers with new frame type.
Execution and description of dexterous hand task by using multi-finger dual robot hand system - realization of Japanese sign language

A multi-fingered dual robot hand and its control and programming system, e.g. the state action event network (SAEN), have been developed to achieve dexterous hand works in human mimetic approach. Some dexterous hands tasks such as paper cutting and chopsticks handling have also been achieved by using this system. The final goal of the study is to perform the sign language as a means of communication with the hard of hearing people. We deal with sign language tasks by using our SAEN system. As the result, it is shown that our software system is quit effective for implementation, but the hardware does not have enough facility for the sign language.
A General Approach to Robustness Assessment for Multidisciplinary Systems

In many engineering applications, both random and interval variables may exist. The mixture of both types of variables has been dealt with in robust design for single disciplinary systems. This work focuses on robustness assessment for general multidisciplinary systems with the presence of both random and interval variables. To alleviate the intensive computational demand, we propose a semi-second-order Taylor expansion method to estimate robustness. A performance function is approximated linearly in terms of random variables, but the interaction terms between random and interval variables are kept. Robustness is measured by the standard deviation of a system performance. The maximum and minimum standard deviations over the interval variables are identified. With proposed method, the impact of both random and interval variables on the system performance can be found efficiently.Copyright © 2008 by ASME
Software Effort Estimation Using Machine Learning Techniques with Robust Confidence Intervals

The precision and reliability of the estimation of the effort of software projects is very important for the competitiveness of software companies. Good estimates play a very important role in the management of software projects. Most methods proposed for effort estimation, including methods based on machine learning, provide only an estimate of the effort for a novel project. In this paper we introduce a method based on machine learning which gives the estimation of the effort together with a confidence interval for it. In our method, we propose to employ robust confidence intervals, which do not depend on the form of probability distribution of the errors in the training set. We report on a number of experiments using two datasets aimed to compare machine learning techniques for software effort estimation and to show that robust confidence intervals for the effort estimation can be successfully built.
On Combinations of Binary Qualitative Constraint Calculi

Qualitative constraint calculi are representation formalisms that allow for efficient reasoning about spatial and temporal information. Many of the calculi discussed in the field of Qualitative Spatial and Temporal Reasoning can be defined as combinations of other, simpler and more compact formalisms. On the other hand, existing calculi can be combined to a new formalism in which one can represent, and reason about, different aspects of a domain at the same time. For example, Gerevini and Renz presented a loose combination of the region connection calculus RCC-8 and the point algebra: the resulting formalism integrates topological and qualitative size relations between spatially extended objects. In this paper we compare the approach by Gerevini and Renz to a method that generates a new qualitative calculus by exploiting the semantic interdependencies between the component calculi. We will compare these two methods and analyze some formal relationships between a combined calculus and its components. The paper is completed by an empirical case study in which the reasoning performance of the suggested methods is compared on random test instances.
An object-oriented program automatic execute model and the research of algorithm

This paper describes an automatic execution model, which can be used in the automatic test of OO programs. By integrating the object transition diagram, state transition diagram, state transition driver and script chooser, this model can choose and execute script automatically, and whenever it meets any exceptional fault, the result inspector indicates the position of it. By comparing and analyzing several script chooser algorithms, an appropriate one to match this model is designed.
EVALUATION OF THE IMPLEMENTATION OF ILLINOIS LEARNING STANDARDS

The Evaluation of the Implementation of Illinois Learning Standards Project has been a four-year endeavor funded by the Illinois State Board of Education to assess the extent to which local districts are implementing Illinois Learning Standards (ILS), to identify factors which enhance or inhibit implementation, and to investigate the relationship between ILS implementation and student achievement. The project began contains the findings of the fourth and final year of the study and a summary for the entire grant period. The study has two components: 1. Survey of Practitioners. During Year Four, 2,642 teachers in a stratified random sample of 61 schools were surveyed to determine the extent to which they were implementing ILS in their classrooms, schools, and districts. Teacher survey data were used to place schools at various levels of implementation, assess ILS implementation at the state level, and examine the relationship between ISAT performance and ILS implementation. A parallel Administrator Survey was developed and sent to 137 building principals. The Administrator Survey was used to assess principals' perceptions of ILS implementation. 2. Qualitative Component. In Year Four, six districts with one to two schools from each district were selected for intensive case study. The districts selected for inclusion vary in student enrollment, district organization pattern, community size, and geographic location. Specifically, one district located in the southern part of the state is a unit district (K-12) that serves a largely urban population. Current student enrollment is just over 11,000 students. A second, an elementary district (K-8) located in a mid-sized city in central Illinois, has a student enrollment of approximately 4,100 students. The third is a high school district (9-12) located in a suburban community in the northern part of the state; student enrollment is approximately 2,800 students. The fourth, also a unit district (K-12), is located in a small rural ILS Year Four Summary of Findings and Recommendations 2 community in central Illinois and has a student enrollment of just over 1,000 students. A fifth, a unit district (K-12) that is part of a central Illinois metropolitan area, has an enrollment of approximately 5,700 students. The sixth district, a small rural district (K-12) in southern Illinois, serves just over 1,100 students. The nine schools selected from the six districts that agreed to participate in this study include three elementary schools, three middle/junior high schools, and three high schools. Over the past year, more than 20 site visits …
DEFINING SOFTWARE PROCESS MODEL CONSTRAINTS WITH RULES USING OWL AND SWRL

The Software & Systems Process Engineering meta-model (SPEM) allows the modelling of software processes using OMG (Object Management Group) standards such as the MOF (Meta-Object Facility) and UML (Unified Modelling Language) making it possible to represent software processes using tools compliant with UML. Process definition encompasses both the static and dynamic structure of roles, tasks and work products together with imposed constraints on those elements. However, the latter requires support for constraint enforcement that is not always directly available in SPEM. Such constraint-checking behaviour could be used to detect possible mismatches between process definitions and the actual processes being carried out in the course of a project. This paper approaches the modelling of such constraints using the SWRL (Semantic Web Rule Language), which is a W3C recommendation. To do so, we need to first represent generic processes modelled with SPEM using an underlying ontology based on the OWL (Ontology Web Language) representation together with data derived from actual projects.
Distributed file systems: focus on Andrew File System/Distributed File Service (AFS/DFS)

Currently, there is a move away from huge, monolithic mainframe computers to smaller, individual workstations. This move requires that data and programs be shared between individual users on the same computer as well as across machines on a local area network (LAN) or even on a wide area network (WAN). A popular distributed file system is Transarc's Andrew File System (AFS), the precursor of the Open Software Foundation's (OSF) Distributed File Service (DFS), part of OSF's Distributed Computing Environment. This paper compares AFS and DFS with other successful distributed file systems, discussing clients and file servers, data cache (cache consistency and authentication), file system topology, access rights, privileged programs, critical data, and authentication in long-running batch jobs. <<ETX>>
A simultaneous optimization algorithm for determining both mechanical-system and controller parameters for positioning control mechanisms

This paper presents an optimization algorithm which determines mechanical-system and controller parameters simultaneously, especially for positioning control systems. In order to improve the cost-performance ratios of products such as robots, and elevators, it is important to design them while balancing the performance of the mechanical mechanism with that of the control mechanism. The algorithm proposed in this paper does just that: it determines the mechanical parameters and how to determine the controller parameters. In the controller-design process, nonlinear programming methods are used so that large numbers of specifications and conditions can be dealt with. In the mechanism-design process, a genetic algorithm (GA) is used that allows optimal values to be obtained for complicated systems. Parameters for both mechanism and controller can be obtained by integrating these processes. The numerical result shows that the design parameters obtained satisfy the various specifications.
Zero-power design for Smart Dust networks

This paper addresses the low-power design of distributed sensor networks for intelligent measurement. We present a method for system clock optimization based on behavioural requirements and a power-saving mode. Essentially, the suggested approach minimizes the power consumption and provides longer battery lifetimes. In addition, the method improves the electromagnetic compatibility which is crucial for cubic-millimeter nodes. The zero-power theme goes on with passive reflector communication systems. We discuss an approach for zero-power orientation of corner-cube retroreflectors.
Research on Environmental Perception Technology for Menology Environments Based on Binocular Vision

To detect menology environments, we present an environmental perception technology based on binocular stereo vision system. The binocular vision system is calibrated by Zhangzhengyou calibration method, and the original images are rectificated by epipolar rectification. Based on the revised binocular vision system, rectificated images are preprocessed by adopting histogram equalization, maximal between-cluster variance and threshold area erosion. According to segmentation image, objectives and background are respectively area-matched and the matching results are verified by left and right consistency check. The disparity map is obtained and it shows that the proposed method is correct and feasible. This paper offers a useful reference to environmental perception technology for menology environments.
Implementing large-scale object-oriented components

The complexity of software has driven both researchers and practitioners toward design methodologies that decompose problems into intellectually manageable pieces and that assemble partial products into complete software artifacts. Modularity in design, however, rarely translates into modularity at the implementation level. Hence, an important problem is to provide implementation (i.e., programming language) support for expressing modular designs concisely. This dissertation shows that software can be conveniently modularized using large-scale object-oriented software components. Such large-scale components encapsulate multiple classes but can themselves be viewed as classes, as they support the object-oriented mechanisms of encapsulation and inheritance. This conceptual approach has several concrete applications. First, existing language mechanisms, like a pattern of inheritance, class nesting, and parameterization, can be used to simulate large-scale components called mixin layers . Mixin layers are ideal for implementing certain forms of object-oriented designs and result in simpler and more concise implementations than those possible with previous methodologies. Second, we propose new language constructs to provide better support for component-based programming. These constructs express components cleanly (i.e., without unwanted interactions with other language mechanisms) and address the issue of component type-checking.
GeneBrowser: an approach for integration and functional classification of genomic data

Summary The achievements coming from genome analysis depend greatly on the quality of computational and processing methods. Tools for functional mRNA profiling and for gene information integration have become essential to this task. We have developed GeneBrowser as a novel approach that combines the advantages of mRNA profiling tools, at genome-scale experiments, with the features provided by data integration systems. For a given set of genes, GeneBrowser integrates bibliography information with functional annotations, using Gene Ontology, Entrez Gene, KEGG Orthology and KEGG Pathways. The result is a comprehensive and easy to use web application that helps researchers to extract knowledge from large data sets and to speed up the discovery process. Availability: GeneBrowser is freely available at http://bioinformatics.ua. pt/genebrowser
Minimizing Attrition in Online Degree Courses.

The issue of e-learning quality remains prominent on end usersâ€™ (the learnersâ€™) agenda. It is no surprise that many non-motivated adult learners abandon prematurely their e-learning experiences. This is attributed in a great extent to the poor design and usability of e-learning applications. This paper proposes a usability framework that addresses the user as a learner and extends the current e-learning usability practice by focusing on the affective dimension of learning, a frequently neglected issue in e-learning developments. Motivation to learn, a dominant affective factor related with learning effectiveness, has been similarly neglected. Usability and instructional design constructs as well as Kellerâ€™s ARCS Model are being employed within the framework proposed in this work upon which new usability evaluation methods can be based. This framework integrates web usability and instructional design parameters and proposes motivation to learn as a new type of usability dimension in designing and evaluating e-learning applications.
Human-interface by recognition of human gesture with image processing-recognition of gesture to specify moving direction

The authors developed a human-interface system to specify the moving direction by recognition of beckon motion. In this system, the recognition of gesture is performed by using a colour image processing system. The communication between persons are performed by using not only voice but also the gesture. In noisy environment, if machines can recognize the human gesture as a command, one operates the machine easily like making command to another person by his gesture. Then, the authors propose a communication method from human to machines by recognition of human gesture with an image processing system. This system makes communication with machines similar to communication with another person. This system needs no special environment, for example a data glove, data suit or a black background for monochrome image processing. It is necessary only that the operator wear a glove of a colour not found in the background. <<ETX>>
Software data prefetching to reduce data reloading overhead

In this paper, we propose a software data prefetching mechanism to insert prefetching instructions efficiently into a loop. Proposed mechanism analyzes the array reference pattern, and inserts prefetching instructions into the loop according to the results of the analysis. Analyzing the loop, it considers cache size and the number of array elements that will be used to exploit reuse property. However, in case that it is hard to benefit by the reuse due to the large number of array elements, proposed mechanism reorganizes the loop properly to reduce the overhead of reloading array elements that had been pushed out from the cache.
FPGA board for real time vision development systems

Describes an FPGA based system for real time vision applications at a robotics vision laboratory. It contains an ALTERA FPGA (20K100), an interface with a digital camera, three VRAM memories to contain the data input and some output memories (a VRAM and a EDO) to contain the results. The aim of this system is to develop and test vision algorithms, such as image compression, optical flow calculation with differential and correlation methods and to hold applications that use previous calculated optical flow, like image invariants detection. The designed system is able to connect the digital camera, or the FPGA output (results of algorithms) to a PC, through its ports USB, IEEE 1394 or CENTRONICS. It also has an expansion connector to make possible the expansion of the system, with some elements of the process, for instance one system would calculate the optical flow of the input images and another system would calculate the focus of expansion in the image and the time to impact in the scene.
Manipulation of Microobjects Based on Dynamic Adhesion Control

Due to scale effects, microoperation, especially the releasing of microobjects, has been a long-standing challenge in micromanipulation applications. In this paper a micromanipulation method is presented based on dynamic adhesion control with compound vibration. This adhesion control technique employs inertia force to overcome adhesion force achieving 100% repeatability with releasing accuracy of 4± 0. 5μm, which was experimentally quantified through the manipulation of 20–100μm polystyrene spheres under an optical microscope. The micromanipulation system consists of a microgripper and a piezoelectric ceramics module. The compound vibration comes from the electrostatic actuator and the piezoelectrically driven actuator. Surface and bulk micromachining technology is employed to fabricate the microgripper used in the system from a single crystal silicon wafer. Experimental results confirmed that this adhesion control technique is independent of substrate. Theoretical analyses were conducted to understand the.