Miracle-dz/UniFAR-FTUs huggingface dataset:
Evolution and trends of HDTV

The evolution of scientific activity related to HDTV is summarized from its first steps to the present and future situation. The problems connected to the definition of HDTV standards are examined, and an overview of the programs of the main international standards bodies (CCIR, CCITT) is given. The HDTV systems already realized and the most important projects regarding HDTV, which include MUSE, HD-MAC, SMPTE, and various Eureka projects, are discussed. A brief overview of Italian activity concerning HDTV is reported, focusing on the CNR-Telecommunicazioni project. The HDTV coding scheme realized by CSTV-CNR is presented, and its performance on two test sequences is evaluated. <<ETX>>
An accelerometer-based physical rehabilitation system

This paper presents a portable physical rehabilitation monitoring system based on a personal network of intelligent sensors. Rehabilitation is traditionally carried out in hospitals under supervision of qualified personnel. However, significantly better results could be achieved using out-of-hospital portable monitoring to allow patients computer-assisted rehabilitation in their homes. The new generation of personal digital assistants (PDA), such as Compaq iPAQ, offers large processing power, decent graphical user interface, and compact flash based secondary memory. Therefore, they are perfectly suited for portable monitoring units. Individual sensors are positioned on limbs to analyze movements using 2-axis MEMS accelerometers. The system monitors periods and forces of individual sensors, visualizing relevant physiological data in real-time on PDA, and archiving progress data on compact flash. A specialist supervises current advance and sets new optimum rehabilitation modes, thresholds for forces, step periods, etc. The system generates real-time warnings when predefined thresholds have been exceeded. We are developing a system for hip and knee replacement rehabilitation, as well as general physical rehabilitation. Other possible applications of our system include rehabilitation of stroke and heart attack patients.
The Research of Multi-Agent System Task Allocation Based on Auction

Multi-Agent System (MAS) can be used in emergency rescue in traffic monitor and aviation field ect. It has been a hot spot about how to control the isomerous rescue robot team Multi-Agent System to finish the rescue task efficiently in the shortest time according to the task allocation based on the spot environment and existing resource now. In this thesis, a modified Multi-Agent task allocation algorithm based on auction is introduced, in the algorithm, robots act as agents to constitute the emergency rescue system, and it can realize the cooperation of Multi-Agent Robots to finish the rescue tasks with various of levels and kinds by the optimized task allocation.
Benchmarking of a Massively Parallel Hybrid CFD Solver for Ocean Applications

This paper presents progress on the development of a CFD program called EXN/Aero specifically designed to exploit performance gains from new hybrid multicore-manycore computer architectures. The hybrid multicore-manycore design is outlined along with performance and validation testing on an underwater vehicle and unsteady vortex shedding applications. It is shown that by revisiting CFD code design with a view to a number of important trends in the high performance computing industry, significant order of magnitude gains in computational power can be achieved.Copyright © 2013 by ASME
Energy Reduction Aware Multicast Routing for Mobile Ad Hoc Networks

QoS Multicast routing is difficult in Mobile Ad hoc Network (MANET) due to limited resources. Each node in MANET is constrained by their limited battery power for their energy. The energy is reduced as the time goes off due to the packet transmission and reception. Energy management techniques are necessary to minimize the total power consumption of all the nodes in the network in order to maximize its life span. Our proposed protocol Energy Reduction Aware Multicast (ERAM) aimed to find a path which utilizes the minimum energy to transmit the packets between the source and the destination. The required energy for the transmission and reception of data is evaluated at the MAC layer. The network layer makes use of it to find the minimum energy path. ERAM is implemented on Multicast Ad hoc On Demand Distance Vector Routing Protocol (MAODV) to manage the energy consumption in the transmission and reception of data. Simulation results of ERAM show the energy consumption has been reduced.
Analysis of QOS and Energy Consumption in IEEE 802.15.4/ZigBee Wireless Sensor Network

the last few years, Wireless sensor networks have gained worldwide attention from both the research communities and the actual users. It comprises of a large number of extremely small autonomous computing, communication, and sensing devices, with limited energy and computing capabilities which co-operates to accomplish a large sensing task. Wireless sensor network raise some problems like limited energy resources replacement task. Therefore good functions of such networks depend on energies of nodes. In this paper two analytical models which predict the QOS in terms of throughput, jitter, average end-to-end delay and energy consumption have been introduced. These two different formats of nodes are organized as cluster and grid based network and for simulation analysis QualNet 6.1 simulator is used. KeywordsIEEE 802.15. 4, Cluster based, Grid based, ZigBee, QualNet 6.1 simulator 1. INTRODUCTIONWireless sensor networks (WSNs) are the most important technologies. It has gained world-wide attention in recent few years. These sensors are small, with limited transmission range, and computing resources. These sensor nodes are battery operated and need to operate without battery replacement for several years. There are two things which are to be reviewed i.e. how to achieve balancing energy drainage across all the nodes and how to achieve high routing efficiency under multihop transmission circumstance. Therefore, for designing such type of networks researchers must focus on both the energy consumption and routing efficiency.
3DMADMAC|SPECTRAL: Hardware and Software Solution for Integrated Digitization of 3D Shape, Multispectral Color and BRDF for Cultural Heritage Documentation

In this article a new 3D measurement system along with the study on 3D printing technology is presented from the perspective of quality of reproduction. In the first part of the paper the 3DMADMAC|SPECTRAL system which integrates 3D shape with additional color and angular reflectance measurement capabilities is presented (see Figure 1). The shape measurement system is based on structured light projection with the use of a DLP projector. The 3D shape measurement method is based on sinusoidal fringes and Gray codes projection. Color is being measured using multispectral images with a set of interference filters to separate spectral channels. Additionally the set up includes an array of compact light sources for measuring angular reflectance based on image analysis and 3D data processing. All three components of the integrated system use the same greyscale camera as a detector. The purpose of the system is to obtain complete information about shape, color and reflectance characteristic of mea sured surface, especially for cultural heritage objects - in order to create high quality 3D documentation. In the second part of the paper the 3D printing technology will be tested on real measured cultural heritage objects. Tests allow to assess measurement and color accuracy of reproduction by selected 3D printing technology and shed some light on how current 3D printing technology can be applied into cultural heritage.
Enhancement of solar panel's power generation by the usage of solar tracking

Solar energy will have a continuously rising importance in energy harvesting in the future. Despite all its potential and importance photovoltaic energy still has to be improved in some fields to become competitive with the conventional energy sources of today in large scale applications. One possibility to raise the energy produced by solar modules and panels is solar tracking. Solar tracking allows us to direct solar panels continuously in optimal position to the sun, thus improving the overall efficiency of a photovoltaic system. We calculated the theoretical possible excess energy that can be gained by application of solar tracking. Based on these preliminary calculations we designed and built a complex system using two-axis positioning and electronically realized maximum power point tracking at the same time. Thanks to the built-in radio-wave communication infrastructure it is possible to monitor, control and synchronize different trackers remotely. The extension and scalability of the system enables building solar farms consisting of dozens of individual units.
Domain-specificity in the acquisition of non-adjacent dependencies

At the forefront of investigations into the cognitive underpinnings of language acquisition is the question of domain-specificity, i.e. whether the processes involved in learning language are unique to language. Recent investigations suggest that the mechanisms employed in language learning are also involved in sequential learning of non-linguistic stimuli and are therefore domain-general. Non-adjacent dependencies are an important feature of natural languages. They describe relationships between two elements separated by an arbitrary number of intervening items, and thus potentially pose a challenge for learners. As a hallmark of natural languages they are ubiquitous, an example from English being subject-verb agreement: The socks on the floor are red. Here, learners are required to track the dependencies amongst the two underlined elements across an intervening prepositional phrase. Importantly, it has been shown that non-adjacent dependencies can be learned in the linguistic (Gomez, 2002) and non-linguistic (Creel, Newport & Aslin, 2004) domain. The majority of work presented in this thesis is based on Gomez’s (2002) artificial language learning experiment involving non-adjacent dependencies, adapted to directly compare adults’ learning in the linguistic and non-linguistic domain, in order to build a comprehensive map showing factors and conditions that enhance/ inhibit the learnability of non-adjacencies. Experiment 1 shows that the Gestalt Principle of Similarity is not a requirement for the detection of non-adjacent dependencies in the linguistic domain. Experiment 2 aims to explore the robustness of the ability to track non-adjacent regularities between linguistic elements by removing cues that indicate the correct level of analysis (i.e. interword breaks). Experiments 3 and 4 study domain-specificity in the acquisition of non-adjacencies, and show that non-adjacent dependencies are learnable in the linguistic and nonlinguistic domain, provided that the non-linguistic materials are simple and lacking internal structure. However, language is rich in internal structure: it is combinatorial on the phonemic/ orthographic level in that it recombines elements (phonemes/graphemes) to form larger units. When exposed to non-linguistic stimuli which capture this componential character of language, adult participants fail to detect the non-adjacencies. However, when exposed to non-componential non-linguistic materials, adult participants succeed in learning the non-adjacent dependencies. Experiment 5 looks at modality effects in the acquisition of non-adjacent dependencies across the linguistic and non-linguistic domain. Experiment 6 provides evidence that high familiarity with componential non-linguistic patterns does not result in the correct extraction of non-adjacencies in sequence learning tasks involving these patterns. Overall, the work presented here demonstrates that the acquisition of nonadjacent dependencies is a domain-general ability, which is guided by stimulus simplicity.
Design of a cognitive tool to enhance problem‐solving performance

The design of a cognitive tool to support problem‐solving performance for external representation of knowledge is described. The limitations of conventional knowledge maps are analyzed in proposing the tool. The design principles and specifications are described. This tool is expected to enhance learners’ problem‐solving performance by allowing them to represent internal representations externally while they solve problems. Tests of the tool’s efficacy are suggested. Conception d’un outil cognitif pour améliorer la performance dans la résolution de problèmes On décrit la mise au point d’un outil cognitif visant à améliorer la capacité à résoudre des problèmes pour parvenir à représenter extérieurement les connaissances. Pour proposer cet outil, on a analysé les limites des schémas conventionnels de représentation des connaissances. On a ensuite décrit les principes de conception et les spécifications. Cet outil devrait améliorer la performance des apprenants dans la résolution de problèmes en leur permettant de représenter extérieurement des représentations intérieures pendant qu’ils résolvent les problèmes. On suggère des tests pour vérifier l’efficacité de l’outil. Entwurf eines kognitiven Werkzeugs, um das Problem‐Lösen zu verbessern Der Entwurf eines kognitiven Werkzeugs, um den Bereich des Problemlösens bei externer Wissensdarstellung zu unterstützen, wird beschrieben. Die Grenzen konventioneller “Wissenslandkarten” wurden analysiert, um das Werkzeug entwerfen zu können. Grundsätze und Spezifikationen des Entwurfs werden dargestellt. Es wird erwartet, dass dieses Werkzeug die Problem lösenden Leistungen der Anfänger dadurch verbessert, dass es ihnen während des Problemlösens möglich wird, ihre internen Vorgänge nach außen darzustellen. Tests zur Wirksamkeit des entwickelten Werkzeugs werden vorgeschlagen.
Proximity User Detection Based Resource Allocation Scheme for Device-to-device Communication

Abstract In this paper, we propose a resource allocation schemes, called proximity user detection-based resource allocation (PUDRA), or advanced proximity user detection-based resource allocation (APUDRA) in an LTE-Advanced device-to-device (D2D) network. In the proposed schemes, in order to reduce the interference between macro user equipment (mUEs) and D2D links or between D2D links, D2D link shall use a frequency bandwidth that the neighboring mUEs or D2D links do not use. We analyzed and compared the two schemes and the random resource allocation scheme in terms of the system throughput for downlink and outage probability according to the number of D2D receivers (D2DRs). Simulation results show that the APUDRA scheme has better performance than the PUDRA and random resource allocation scheme performance in terms of the system throughput and outage probability for mUEs and D2DRs.
Bridging the Ring-Mesh Dichotomy With P-Cycles

p-cycles represent a new strategy for network restoration. Their main feature is that they retain ring-like switching characteristics but, under appropriate design optimization, yield networks that are virtually as efficient as span-restorable mesh networks. This remarkably desirable combination of attributes makes p-cycles and exciting topic for investigation. This paper attempts to summarize our work to date on p-cycle network concepts, design theory, and implementation methods for both connection-oriented (Sonet, WDM) and IP layer network restoration.
Word sense disambiguation in document space

We introduce a method for word sense disambiguation that uses an existing topical document map created with an unsupervised method (WEBSOM (Kohonen et al., 2000)) on a very large document collection. Results on the SENSEVAL-2 corpus indicate that the proposed method is statistically significantly better than the baselines and on a par with supervised methods. The method uses the document map as a representation of the semantic space of word contexts. The assumption is that similar meanings of a word have similar contexts, which are located in the same area on the self-organized document map. The results confirm this assumption. The benefit of the proposed method is that a single general purpose representation of the semantic space can be used for all words and their word senses.
LFG without C-structures

We explore the use of two dependency parsers, Malt and MST, in a Lexical Functional Grammar parsing pipeline. We compare this to the traditional LFG parsing pipeline which uses constituency parsers. We train the dependency parsers not on classical LFG f-structures but rather on modified dependency-tree versions of these in which all words in the input sentence are represented and multiple heads are removed. For the purposes of comparison, we also modify the existing CFG-based LFG parsing pipeline so that these "LFG-inspired" dependency trees are produced. We find that the differences in parsing accuracy over the various parsing architectures is small.
Chaotic wandering and its sensitivity to external input in a chaotic neural network

Dynamical properties of chaotic neural network in chaotic wandering state are studied concerning sensitivity to external inputs. The number of the attractor basins which time dependent vector can visit during chaotic wandering depends on the dynamical complexity of chaos. When one applies the external input consisting of a memory fragment to the network, within several iteration steps the orbit reach the basin of the memory attractor.
Inversion of linear periodically time-varying digital filters

This paper discusses the inversion of linear periodically time-varying (LPTV) digital filters using the idea of converting the LPTV filter to the block time-invariant filter. Explicit expressions are given to determine the inversion of LPTV filters. Controllability and observability of the inversion of LPTV filters are discussed. >
The multi-layer neural network applied to a car detection system

In image recognition, simple neural networks often recognize incorrectly due to the effect of changes in size and shifts in position of the object in the source image. The neocognitron is effective to recognize the image; however the network scale is too large, so it takes a long time to train the network and to process the information. The authors propose a car detection system using the simple multilayer neural network. This system has some pre-processors to improve the recognizing ability of the simple neural network. These pre-processors perform the role as a kind of regularization. This paper shows that the system effectively performs as a car safety system detecting other cars. <<ETX>>
Creating a NoSQL database for the Internet of Things : Creating a key-value store on the SensibleThings platform

Due to the requirements of the Web 2.0 applications and the relational databaseshave a limitation in horizontal scalability. NoSQL databases have become moreand more popular in recent years. However, it is not easy to select a databasethat is suitable for a specific use. This thesis describes the detailed design, im plementation and final performance evaluation of a key-value NoSQL databasefor the SensibleThings platform, which is an Internet of Things platform. Thethesis starts by comparing the different types of NoSQL databases to select themost appropriate one. During the implementation of the database, the algorithms for data partition, data access, replication, addition and removal ofnodes, failure detection and handling are dealt with. The final results for theload distribution and the performance evaluation are also presented in this pa per. At the end of the thesis, some problems and improvements that need betaken into consideration in the futures.
Worlds Apart but Not Alone: How Wiki Technologies Influence Productivity and Decision-Making in Student Groups.

Regardless of the size of an organization, collaboration has become a fundamental element with regard to engagement between the organization and internal and external stakeholders. With the rapid advance of communication technologies and the free-flow of information, the concept of collaboration extends beyond physical locations and time zones in the form of globally connected virtual teams. This study considers how modern Web 2.0-based collaborative technologies (wikis) relate to higher decision quality and productivity, and identifies if these collaborative technologies are better suited to tasks requiring extensive asynchronous collaboration in an educational setting. Controlled experiments involving student teams that worked in technologically and demographically diverse groups showed that wiki technologies do not suit all kinds of tasks, and do not always increase productivity or the decision quality of team collaboration.
Exploration of Collaborative Learning and Communication in an Educational Environment Using Computer-Mediated Communication

Abstract This study examined the relationship between the language functions associated with messages generated through computer-mediated communication (CMC) and the collaborative learning process. In addition, the study explores the extent to which people interact in CMC environments. A total of 413 electronic messages generated by students in a fifth- and sixth-grade classroom regarding their mathematics and science coursework were analyzed. Research results show that students actively participated in collaborative learning in the context of CMC. The analysis of the data also indicates that two language functions (presenting opinion and expressing disbelief) appeared more frequently in intermediate messages than in single messages. Moreover, “asking information” occurred more often in initial messages than in either finishing messages or intermediate messages.
PROGOSS: Mastering the curriculum

In education, we need to design effective degree programs of study that meet authoritative curricula guidelines. This is challenging because of the size of the curriculum and complexity of degree program structures. When dealing with data of this size and complexity, traditional spreadsheets are a clumsy way of storing the data. A database is a better option, especially when the database is accessible over the web. We created ProGoSs to effectively tackle this complexity. ProGoSs is a web-based system that maps curricula learning goals and mastery levels to individual assessment tasks across entire degree programs. ProGoSs enables academics to answer important questions such as: Does our degree teach the essential core defined in a recommended curriculum? Where in our degree are particular parts of the recommended curriculum taught? Does our degree ensure a solid progression in building skills? Where and how do we assess the learning achieved by bare-pass students on particular parts of the recommended curriculum? We present the design and implementation of ProGoSs and report on its evaluation by mapping multiple programming subjects from multiple universities to the ACM/IEEE Computing Science 2013 topics and learning objectives. This includes a mapping to various levels of Bloom’s Taxonomy.
Simple quasi-3D photonic crystal planar optical waveguides

Reports work on simple photonic crystal-based planar optical waveguides with enhanced characteristics. Leaky modes are suppressed and the overall performance improved by a combination of 2D planar photonic bandgap waveguides and 1D omnidirectional stacks, furnishing quasi-3D behavior. Only conventional planar technology and materials are used for fabrication.
Generating Random Numbers

# note that this is an R function, not C++ fastSimpleLinearRegression <function(y, x) { y <y mean(y) x <x mean(x) n <length(y) stopifnot(length(x) == n) # for error handling s2y <sum( y * y ) / ( n 1 ) # \sigma_yˆ2 s2x <sum( x * x ) / ( n 1 ) # \sigma_xˆ2 sxy <sum( x * y ) / ( n 1 ) # \sigma_xy rxy <sxy / sqrt( s2y * s2x ) # \rho_xy b <rxy * sqrt( s2y / s2x ) se.b <sqrt( ( n 1 ) * s2y * ( 1 rxy * rxy ) / (n-2) ) tstat <rxy * sqrt( ( n 2 ) / ( 1 rxy * rxy ) ) p <pt( abs(t) , n 2 , lower.tail=FALSE )*2 return(list( beta = b , se.beta = se.b , t.stat = tstat, p.value = p )) }