Miracle-dz/UniFAR-FTUs huggingface dataset:
Morphing Based on Mended Sparse-Field Algorithm of Level-Set Method

Level-Set method is a good way to do metamorphosis. Narrowband and sparse-field algorithms improve its performance. Results of narrowband morphing are smoother when the sparse-field algorithm is faster. Sparse-field algorithm is mended to fit Euclidean distance model and the narrowband algorithm is used to make up the error of the sparse-field morphing. Topological relationship replaces distance band to define layer sets, and a single side active set is proposed to improve efficiency and robustness. To make up the error of the sparse-field algorithm, which causes obvious alias at the last half stage, two remedy methods are proposed. Averaging and translation method is simpler and more efficient. Narrowband evolution and back method is better for reserving the sharp shape.
The Analysis and Application of the C4.5 Algorithm in Decision Tree Technology

The Decision Tree technology, which is the main technology of the Data Mining classification and forecast, is the classifying rule that infers the Decision Tree manifestation through group of out-of-orders, the non-rule examples. Based on the research background of The Decision Tree’s concept, the C4.5 Algorithm and the construction of The Decision Tree, the using of C4.5 Decision Tree Algorithm was applied to result analysis of students’ score for the purpose of improving the teaching quality.
Analysis of Zero-Day Vulnerabilities in Java

The zero-day vulnerability is a security lack of the computer system that is unknown to software vendor. This kind of vulnerability permits building attack strategies for gaining the access to the resources and data of a computer system. The main issue of the topic is how a computer system can be protected by zero-day vulnerabilities using the actual security procedures and tools for identifying the potential attacks that exploit the vulnerabilities unknown to computer users and software providers. The paper highlights the main features of such kind of vulnerabilities, some exploitation methods and examples of them for Java zero-day vulnerabilities and how protection strategies can be built on intelligence extracted from attack anatomy analysis.
Metaphor’s Role in the Information Behavior of Humans Interacting with Computers

Metaphors convey information, communicate abstractions, and help us understand new concepts. While the nascent field of information behavior (IB) has adopted common metaphors like “berry-picking” and “gap-bridging” for its models, the study of how people use metaphors is only now emerging in the subfield of human information organizing behavior (HIOB). Metaphors have been adopted in human–computer interaction (HCI) to facilitate the dialogue between user and system. Exploration of the literature on metaphors in the fields of linguistics and cognitive science as well as an examination of the history of use of metaphors in HCI as a case study of metaphor usage offers insight into the role of metaphor in human information behavior. Editor’s note: This article is the winner of the LITA/Ex Libris Writing Award, 2008.
Associative neural memories

Associative neural memories - a class of artificial neural networks - are among the most extensively studied and best understood neural paradigms. This volume brings together a summary of significant works on associative neural memory and hardware implementation by leading international researchers. Associative Neural Memories is divided into an introductory chapter and four sections: Biological and Psychological Connections, Artificial Associative Neural Memory Models, Analysis of Memory Dynamics and Capacity, and Implementation.
Pictures as language

The purpose of this lecture is to shed light on a potential, and invite those who are interested to join in and make use of this potential. Here is the background: Starting with the Isaac Project in 1993, Certec has developed a technological/educational concept based on pictures as language for people with limited spoken language or none at all. There are a number of case studies (our own and others) of the interaction between people with different types of cognitive disabilities and a multiplicity of personal digital photographs (over 1,000, often well over 10,000). There is also a growing and increasingly widespread use of digital photos in special educational facilities, care-giving services for disabled people, and in the fields of autism and psychiatry. Added to this are the experiences gained from a picture web board in which people involved in using pictures as language have been able to share their experiences with one another. We can provide examples of what has been done and document the effects. But still, 8 years later, we are unable to carry out sufficiently qualified and relevant analyses and assessments because we have not been able to find applicable explanatory models for the effects; neither have we found relevant fundamental theories supporting what we have observed. This is profoundly unsatisfactory and that is why we are now appealing for help. If we, together, can identify relevant existing theoretical foundations, or come up with new useworthy ones, the effects can be at least twofold: On the one hand, we will better be able to understand and make use of the results achieved so far. On the other, with good theories as a basis, excellent prerequisites should exist for inspiration to an even more effective implementation than what we have hitherto accomplished. The article contains a comprehensive description and references to Certec-related work in this area for the past 8 years, as well as a literature review that shows how difficult it has been to find a basis in established scientific research. (Less)
Internet Access and QoS in Ad Hoc Networks

It is likely that the increased popularity of wireless local area networks (WLANs) together with the continuous technological advances in wireless communication, also increase the interest for ad hoc networks. An ad hoc network is a wireless, autonomous, infrastructure-less network composed of stations that communicate with each other directly in a peer-to-peer fashion. When discussing mobile ad hoc networks (MANETs), we often refer to an ad hoc network where the stations cooperate in forwarding packets on behalf of each other to allow communication beyond their transmission range over multi-hop paths. In order to realize the practical benefits of ad hoc networks, two challenges (among others) need to be considered: distributed quality of service (QoS) guarantees and multi-hop Internet access. This thesis presents conceivable solutions to both of these problems. The first two papers focus on the network layer and consider the provisioning of Internet access to ad hoc networks whereas the last two papers focus on the data link layer and investigate the provisioning of QoS to ad hoc networks. The first paper studies the interconnection between a MANET and the Internet. In addition, it evaluates three approaches for gateway discovery, which can be initiated by the gateway (proactive method), by the mobile station (reactive method) or by mixing these two approaches (hybrid method). The second paper also studies Internet access for MANETs, but with focus on micro mobility, i.e. mobile stations moving from one gateway to another. In particular, it evaluates a solution that allows mobile stations to access the Internet and roam from gateway to gateway. The third paper, gives an overview of the medium access mechanisms in IEEE 802.11 and their QoS limitations. Moreover, it proposes an enhancement to the contention-free medium access mechanism of IEEE 802.11e to provide QoS guarantees in WLANs operating in ad hoc network configuration. The fourth paper continues the work from the third paper by enhancing the scheme and dealing with the problems that occur due to hidden stations. Furthermore, it discusses how to deal with the problems that occur when moving from single-hop ad hoc networks (i.e. WLANs in ad hoc network configuration) to multi-hop ad hoc networks. (Less)
Grammars compared : a study on determining a suitable grammar for parsing and generating natural language sentences in order to facilitate the translation of natural language and MSC use cases

To be able to translate natural language sentences into and from MSC events, one needs a grammar formalism which shows in which way sentences have been built from smaller syntactic units. In this paper our goal is to find out which natural language grammar would be the best one to analyze and build sentences for the translation of natural language use cases into and from Message Sequence Chart (MSC) use cases. We develop criteria for an evaluation of natural language grammars, in order to select an appropriate natural language grammar.
Establishing cross-linguistic semantic relatedness through monolingual corpora: Verbs governing embedded interrogatives

Each instance of language comparison requires observations on semantic equivalence. Meaning is by far the most popular tertium comparationis in contrastive and typological research. However, the question of how semantic equivalence is to be determined remains extremely difficult to solve. This paper presents an approach to detect semantic relatedness between a limited range of lexical items from different languages on the basis of monolingual data. Applying distributional similarity (Dagan et al. 1999) cross-linguistically, it identifies semantically related verbs governing embedded interrogatives by looking at the frequency of the question words (i.e. wh-items) that are used in the embedded interrogatives in monolingual corpora. Convincing results are obtained for six different language pairs: English-French, English-Dutch, English-Spanish, French-Dutch, French-Spanish and Dutch-Spanish.
Progress of quality control in radiotherapy daily control thanks to on-line dynamic visualization

Progress in assurance and quality control in radiotherapy, up to 25 MeV energy, come from daily verification of the quality of irradiations in terms of reproduction of positioning of the patient, of irradiation beams and of focused blocs interposed between the source of the beam and the patient. These improvements are now possible thanks to a new imager such as IRIS (Interactive Radiotherapy Imaging System), with improved image quality. IRIS is used in daily verification at the Centre Hospitalier Universitaire Vaudois, Lausanne, to control on-line the patient position and organs motion during the post-operative radiotherapy of a pancreatic cancer. IRIS is capable of producing up to 10 images/sec, and is based on a large area pixel matrix manufactured in thin film amorphous silicon technology, with wide dynamic range. The results are: the beam positioning adjustments and comparison to reference image in daily use for the different field of irradiation. The visualization and identification of several inner structures and organs (measuring amplitudes of movements of organs). The review of the treatment on a session to session basis. IRIS, on-line dynamic imager has the potential to quality treatment, especially in conformal radiotherapy and in irradiations where the amplitude of organ motion is are important.
On hardware overhead in CMOS BIST designs

The hardware overhead in CMOS BIST (built-in self-testing) designs are investigated. Various BIST components are implemented using CMOS and hardware overheads are assessed in terms of the number of transistors. Since the hardware overhead for each component is represented with a simple formula, it is very easy to estimate the hardware overhead in the early design process. The implementation of three components (built-in logic block observer, signature analysis register, and pseudorandom pattern generator) is described in detail. <<ETX>>
Where do we backchannel?: On the use of mm, mhm, uh huh and such like

The paper investigates a sample of ‘backchannels’, a kind of response item, in the Cobuild Corpus. Its object is to chart the occurrence of backchannels in modern English speech, and especially to find out if they can indicate how much of a language sequence is needed for a listener to understand the intended message. The sequences into which backchannels are inserted and their insertion points are therefore classified, and the fairly numerous sequences where backchannels “interrupt” a linguistic unit are singled out for special study. A general conclusion is that in the cases where there is no explicit information about the part of the message following the inserted backchannel, the message will nevertheless mostly be understood even at the backchannel insertion point. A comparison between male and female speakers shows that women use backchannels more than men and that, unlike men, they prefer unemphatic backchannels.
A Two Level-Security Model for Cloud Computing based on the Biometric Features and Multi-Level Encryption

Cloud computing is a well-known subject in IT system and is based on network and computer utilities. Cloud computing is the main source of storage facilities for small, medium and large companies in recent years. Since, many customers look for cloud computing facilities and services, thus the security of information must be guaranteed to give a full confidence for that customer who has trusted to use these facilities and ready to store their valuable information on the cloud computing and distributed networks. The fundamental problem in cloud computing is the security of the stored data. [1] This paper describes the process of storing the images and scanned documents over the cloud by using our proposed security model which is based on the biometric features and multilevel encryption. On the other hand, it will discuss about cloud computing environment, issues and concerns regarding to security, authentication by using biometric features, and new security algorithms and models. The Security algorithms, which are used in this paper, are consisting of the scrambling algorithm and two level encryption methods. In addition, we have proposed two different scenarios that improve the DEPSKY model. Biometrics is the knowledge of setting the identity of an individual related to the inherent physical orattitude characteristics connected with the person. Therelationship between the perceived authenticationcontent and perceived content of biometric features is studied. The process of developing the algorithms and the model is documented in the proposed section.
On the cortical dynamics of word production: a review of the MEG evidence

ABSTRACT Word production has been investigated using magnetoencephalography [MEG] for 20 years. We perform a review and meta-analysis of MEG studies of word production published in the last 20 years (1994-2014). We assess significant findings with the goals of gauging spatial and temporal resolution, evaluating the between-studies consistency of the cortical response, and the reliability of cognitive inferences made from these findings. We use the author's own attribution of activity to function and current serial and interactive models to scaffold our analysis. Despite current data trending towards seriality in the dynamics of component functions of speech, no strong claims are warranted regarding the serial or parallel nature of cognitive processes. We suggest that future studies might employ standardised protocols and analyses, and report their results more comprehensively to make inferring cognitive function and relating MEG data to psycholinguistic models more efficient.
An improved FDTD design of a wideband GSM patch antenna

This paper describes a wideband resonant patch antenna for GSM system applications. A thick substrate is used to increase the bandwidth of such antenna. A new design method is suggested to solve the problem due to the inductance created by the probe feed. The 3D FDTD is used for the simulation of the antenna. A wide impedance matching bandwidth of 8% was reached. A good agreement is obtained between theoretical and practical results.
Implementation of MELP vocoder using lifting wavelet transform

This paper describes an implementation of MELP (mixed excitation linear prediction) vocoder. Subband division required for implementing the MELP vocoder was performed by the lifting wavelet transform. A new method to generate an appropriate glottal waveform was devised. In addition, three kinds of fluctuations observed in the steady parts of voiced speech were incorporated to enhance the naturalness of synthesized speech.
Virtual seismic interpretation

This paper presents an application of the virtual reality paradigm to scientific visualization. We describe how the seismic interpretation task performed in oil and gas companies can be facilitated by using immersion techniques inherent to virtual reality. The feeling of immersion allows an easier and better understanding and manipulation of the three-dimensional data associated with seismic interpretation. Volume rendering is used to provide visual feedback. Acceleration techniques are described to allow the interactivity demanded by virtual environments. Methods for intuitively moving with respect to and interacting with this environment are also presented.
Multichannel Wiener Filtering for Speech Enhancement in Modulation Domain

Normally speech signals are contaminated with noise and interference that reduces the intelligibility of speech during communication. In order to make speech signals e ective and useful, they need to be enhanced from the noisy speech signal. In speech processing eld many speech enhancement techniques are developed and are providing very good results. Multichannel microphone array is also one of the techniques used for speech enhancement, that provides better results than the single channel speech enhancement. Moreover, Wiener filtering is the most commonly used technique for multichannel microphone array for speech enhancement. The main focus of this thesis is to implement multichannel microphone array using Wiener filtering in the modulation domain system and also in the time domain system to enhance the speech. Both are implemented successfully and validated e ectively by considering diff erent parameters, i,e; Signal to Noise Ratio (SNR), Signal to Noise Ratio Improvement (SNRI) and Mean Opinion Score (MOS). Both the systems are tested with one female and one male speech distorted with diff erent types of noise at -5dB,0dB,5dB,10dB,15dB and 20dB SNR. The values are calculated for the diff erent number of subbands, as the main focus is on modulation domain system. It provided efficient results in terms of SNRI and MOS score.
The Role of Culture in IT Governance

It is important to have an understanding of culture in different level when implementing IT governance. IT governance aims to define decision rights and responsibilities to reach desirable behaviors that direct the organizations for value delivery from IT investments. There is a lack of knowledge on how cultural issues can play a role in IT governance. This paper sets out to provide a review on the literature focusing on role of culture in IT governance. Using a concept centric approach, this paper categorizes the findings from literature through the lens of IT governance five focus areas which are IT resource management, strategic alignment, , value delivery, performance measurement and risk management. This paper contribute to the field by providing evidence on how important the role of culture is in IT governance based on the previous literature and reveals the gaps and potential future research in the area.
Knowledge Sharing and Organizational Citizenship Behavior

The objective of this paper is to examine the relationship between organizational citizenship behaviors (OCBs) and knowledge sharing. In this, the study proposes a model in which the five components of OCBs conducive to spontaneous behaviors are conducive to knowledge sharing As Wasko and Teigland claim that sharing may be attributed to a lack of OCBs, managers should first re-examine their corporate culture of OCBs, because a corporate culture encouraging employees to enhance the well-being, influence the knowledge sharing. The study was conducted on 181 part-time undergraduate students who work as full-time employees in a variety of industries during the daytime. The constructs in this study were measured using five-point Likert scales drawn and modified from the existing literature. Structural equation modeling (SEM) is used to explore the relationship between five components of organizational citizenship behavior and knowledge sharing. The test revealed that all the five components of OCBs are positively and significantly related to knowledge sharing. Lastly, the study includes discussion on implications and limitations of the study as the final section of this research. Copyright © 2011 John Wiley & Sons, Ltd.
A space-time RAKE receiver for asynchronous DS/CDMA system based on smart antenna

A space-time RAKE receiver employing a sliding-window LMS (SWLMS) algorithm is proposed. It is shown that this receiver is not only able to combat multipath fading, but is also near-far resistant. In addition, the proposed receiver is applicable to a CDMA system with either periodic or aperiodic signature codes. In comparison with the normalized LMS (NLMS) and Wiener solution, the performance of the proposed receiver is investigated by theoretical analysis and computer simulations.
An ECC Based Multibiometric System for Enhancing Security

Authentication schemes employing multibiometric system begin with several identification and verification based security schemes. Current systems implementing multi biometric scheme remain unsatisfactory facing to the growing security needs. The proposed system provides secured authentication to integrate multi biometric system with Elliptic Curve Cryptography that employs two modalities (i) Fusion of fingerprint, face, iris and signature. (ii) Generating elliptic curve and key using Elliptic Curve Cryptography. In the proposed system, selected portion of multi biometric features are fused into a single image and a curve is generated using ECC based technique that employs secured domain parameters generated through Genetic Algorithm. A one time password is also appended to the system to afford high authentication. The proposed algorithm is highly efficient against False Acceptance Rate and False Rejection Rate.
ScaLAPACK++: an object oriented linear algebra library for scalable systems

We describe the design of ScaLAPACK++, an object oriented CSS library for implementing linear algebra computations on distributed memory multicomputers. This package, when complete, will support distributed dense, banded, sparse matrix operations for symmetric, positive-definite, and non-symmetric cases. In ScaLAPACK++ we have employed object oriented design methods to enhance scalability, portability, flexibility, and ease-of-use. We illustrate some of these points by describing the implementation of a right-looking LU factorization for dense systems in ScaLAPACK++. <<ETX>>
A CMOS 4 ch*1 k time memory LSI with 1 ns resolution

A four-channel 1024-b time-to-digital converter chip which records input signals to memory cells at 1-ns intervals, has been developed. The chip was fabricated using 0.8- mu m CMOS technology on a 5-mm by 5.6-mm die. It dissipates only 7 mW/channel under typical operating conditions. Tests show that overall linearity and stability are very good. <<ETX>>
A 1.9 GHz silicon receiver with on-chip image filtering

A 1.9 GHz fully monolithic silicon superheterodyne front end receiver is presented; it consists of an LNA, a tunable image reject filter and a Gilbert cell mixer integrated in one die. The chip was fabricated using NORTEL's 0.5 micron bipolar technology with 25 GHz f/sub t/. The receiver was designed to operate with a 1.9 GHz RF and a 2.2 GHz L.O. For a 300 MHz IF. Measured performance for the complete receiver (packaged) was: conversion gain 33.5 dB, noise figure 4.9 dB, input IP3-28 dBm, 50 dB image rejection (tuned to reject a 2.5 GHz image frequency) and 15.9 mA current consumption at +3 V. The image rejection can be tuned from 2.4 GHz to 2.63 GHz. A new version with improved linearity is in fabrication.