Miracle-dz/UniFAR-FTUs huggingface dataset:
Development of Speech to Text Conversion System on OMAP 3530

In this paper, Development of Speech to text conversion system on OMAP 3530 is designed, in which the embedded chip and the programming techniques are adopted. The central monitor which adopts OMAP 3530 chip as a processor is the core of the whole system. Here we used speech recognition technology as the process of converting a speech signal to a sequence of words, by means of an algorithm implemented as a computer program. Here the system was implemented using the HMM toolkit HTK by training HMMs of the words making the vocabulary on the training data. HMMs have found application in many areas interested in signal processing, and in particular speech processing. In this system speech is given through Microphone, that is interfaced to the beagle board using ALSA driver and Output is displayed in the form of text on Beagle board Touch screen. Its ultimate goal is to achieve natural language communication between man and machine.
A kind of vehicle millimeter wave SAR system

The airborne and spaceborne SAR system are not universal access to a large area due to its higher cost and harsh demand conditions. This paper presents a vehicle millimeter wave SAR system. According to the features and application needs of the platform, this system uses range migration algorithm (RMA). Firstly, the system uses dechirping algorithm to deal with every echo. Then, we derive the two-dimensional frequency domain expression of the echo whose residual video phase (RVP) has been compensated and then analogize it to the spatial frequency domain to calculate the spatial frequency domain expression. Finally we complete the location reconstruction of the target. Due to the fan-shaped distribution of the signal distribution in the spatial frequency domain, there will be a large error if we reconstruct the location of the target directly. In this paper, we use stolt interpolation to turn the fan-shaped distribution into a rectangular distribution and the specific interpolation step is given. We also simulate the algorithm proposed in this paper. Finally, we use the vehicle millimeter wave SAR system to image for the actual scenario and the focusing effect of the image results is good to meet the demand. So the system can be applied to a variety of areas.
Media Multitasking and Memory: The Role of Message Modalities

v Chapter One: Introduction . 1 Chapter Two: Literature Review . 3 Multitasking and Its Consequences . 3 Media Multitasking . 5 Psychological Explanations of Multitasking . 6 General Theories on Capacity Limitations . 6 General and Domain-Specific Cognitive Capacities . 10 Input Modalities and Modality-Specific Interference . 11 Input Modalities in Media Multitasking . 11 Chapter Three: Methodology . 16 Materials . 17 Participants . 18 Procedure . 18 Dependent Measures . 21 Data Analysis . 21 Chapter Four: Results . 23 Dependent Variable: News Recall . 23 Dependent Variable: Brand Recall . 26 Dependent Variable: Product Recall . 29 Chapter Five: Discussion of Findings . 33 Theoretical Implications . 35 Practical Implications . 36 Limitations and Future Research Recommendations . 37 Conclusion . 38 References . 40 ii Appendices . 51 Appendix A: News Script . 51 Appendix B: News Questionnaire . 54 Appendix C: Commercial Questionnaire . 56 Appendix D: Coding Scheme . 58 Appendix E: IRB Approval Letter . 64
A Lock-Free Concurrent Hash Table Design for Effective Information Storage and Retrieval on Large Data Sets.

The purpose of this work is to develop a lock-free hash table that allows a large number of threads to concurrently insert, modify, or retrieve information. Lock-free or nonblocking designs alleviate the problems traditionally associated with lock-based designs, such as bottlenecks and thread safety. Using standard atomic operations provided by the hardware, the design is portable and therefore, applicable to embedded systems and supercomputers such as the Cray XMT. Real-world applications range from search-indexing to computer vision. Having written and tested the core functionality of the hash table, we plan to perform a formal validation using model checkers.
Computer simulations of emulsions stabilized by anisotropic particles

Here, we introduce the topic of the thesis. In section 1.1, we motivate the study of emulsions stabilized by anisotropic colloidal particles as well as anisotropic colloidal particles at fluid interfaces. In the subsequent section, a literature overview of the developments of the field is given and the relation of our own study to the existing literature is provided. Finally, a short overview of the structure of the thesis is given.
MarsaTag, a tagger for French written texts and speech transcriptions

We present in this paper a new system, MarsaTag, aiming at segmenting, tagging and chunking French input. The originality of the tool, on top of its efficiency, is its ability to process written texts as well as speech transcriptions. The tagger executes the three following operations. First, a rule-based tokenizer splits the raw textual input in a sequence of tokens. In a second step, thanks to a broad-coverage morphosyntactic lexicon, each token form is associated to a tag distribution. The last step consists in disambiguating the tagging by selecting the POS tag sequence with the highest probability. The probability of a sequence of tags is computed thanks to a stochastic model using the Hidden Markov Model machinery. The states or patterns of our model are extracted from the GraceLPL resource (700,000 tokens with morphosyntactic annotation). The performance of the tagger reaches an F-measure score of 0.974 for written material. The tagger has been adapted for the treatment of spontaneous speech transcriptions. The system has been trained with a large spoken French corpus (CID, see Bertrand et al. 2008). Phenomena proper to speech (filled paused, disfluencies, truncation, etc.) were identified and included in a model specific to speech transcription inputs. The tagger performance of 0.948 (F-measure) has been evaluated on the manual corrected tags of the CID corpus. MarsaTag is distributed with a software interface allowing the choice of various input and output formats (see hdl:11041/sldr000841). Thanks to the genericity of the technique, extension to other languages for which annotated treebanks are available (e.g. Chinese Penn Treebank) is currently in progress.
MyPlate, Children, and Lack of Formative Evaluation: A Systematic Review

Beginning at the critical preschool level, preventing childhood obesity is a multifaceted challenge with health, economic, ethical, and social implications. In particular, increasing emphasis will be placed upon educating children and their caregivers about the USDA’s MyPlate model of good nutrition. To date, evidence-based efforts to teach preschool children nutrition facts and appropriate behaviors are limited, and developers of evidence-based practices do not appear to use formative-evaluation to an adequate extent. Crucial among these evaluations is assessing what the preschool child already knows about the MyPlate components (fruits, vegetables, grains, protein, and dairy). University researchers along with graduate students in nutrition and psychology conducted a review of current research regarding the use of MyPlate in early childhood education settings. Minimal empirical studies were found, indicating a need to expand the literature in the areas of MyPlate, early childhood nutrition education, and formative evaluation. In the current article, authors present the systematic review process of the scant knowledge that exists regarding formative evaluation research to document what preschool-age children already know about nutrition, suggest ways that this research base might be expanded, and advocate for the increased use of formative evaluation in both research and curriculum development.
A Proposed Framework on Urban Vacationers Motivation in Visiting Spa and Wellness Centre

Visiting Spa and wellness tourism centre is a new social trend among wellness tourist around Malaysia. The fact shows that the number of spa and wellness centre increases from year to year and the practice towards healthier lifestyle were accepted worldwide. The individual health and wellness concern is one of the significant factors that contribute to the succession of the spa and wellness industry. This paper aimed to examine the literature on the factors influencing tourist motivation towards visiting spa and wellness tourism destinations. The literature reviews shows that there will be a positive relationship between relaxation and relief, health and beauty, escape and selfdevelopment with travel motivation among tourist. The findings of this study are expected to fill the gap in the literature by extending the knowledge of existing literature on Spa motivation and to educate the public knowledge and professional service delivery.
Performance evaluation of superreconstruction from video

Several algorithms have been proposed to enhance the resolution of a reference image from multiple still images or video that may be captured/stored in raw or compressed format. This paper provides a thorough study of how the performance of the projections onto convex sets (POCS) method is affected by camera parameters, quantization of the pixel-values, motion estimation errors, and quantization in the DCT-domain (when compressed data is used). Experimental results are provided to evaluate the practical applicability of super-resolution reconstruction in various scenarios. It has been observed that the quality of the resolution enhancement depends on the quantization of pixel intensity values in the RGB (uncompressed) or YUV (compressed) domains by the video capture device, as well as the accuracy of the estimated motion parameters between successive frames.
The Cost of Overcoming the Zero Lower-Bound: A Welfare Analysis

To broaden the operational scope of monetary policy, several authors suggest cash abolition as an appropriate means of breaking through the zero lower-bound. We argue that the welfare costs of bypassing the zero lower-bound by getting rid of cash entirely are analytically equivalent to negative interest rates on cash holdings. Using a money-in-the-utility-function model, we measure in two ways the welfare loss consumers as money holders would be forced to bear once the zero lower-bound is broken: in terms of the amount needed to compensate consumers (compensated variation), and as excess burden (deadweight loss) imposed on the economy as a whole. We calibrated the model for the euro area and for Germany. Our findings suggest that the welfare losses of negative interest rates incurred by consumers as holders of cash and transaction balances (M3) are large and enduring, notably if implemented in the current low-interest rate environment.
Are Communication Theories Affected by New Communication Technologies? : A Look at Spiral of Silence Theory

Computer technologies and Internet set new standards for interaction and let people explore new horizons in the field of communication. As a consequence, individual’s perception of the world surrounding his/herself may be affected. Considering this ever-evolving climate of change, communication theories have to be revisited and efforts of critical thinking should be made by scholars in order to keep theories up-to-date or determine them as not capable of explaining contemporary conjuncture. The purpose of this study is to review previous research studies focused on computer mediated communication and spiral of silence.Results show that spiral of silence may occur despite characteristics of computer mediated communication that can liberate individuals from social sanctions.
Application of Complex Networks Clustering Algorithm in Biological Networks

Complex networks are prevalent in the real world,they have small-world and scale-free properties. Network community structure is one of the most important topological properties of complex networks among its statistical properties. Using the clustering algorithm in complex biological networks can help us to reveal the community structure of biological networks,which is helpful to analyze the topological structures of biological networks,predict the function of community structure. This paper reviews the application and the progress of complex networks clustering algorithm used in protein-protein interaction networks and metabolic networks,analyzes the evaluation function of several clustering algorithms and their application of occasions,and discusses the major problems in clustering algorithm of the biological networks.
Aided Navigation Gps With High Rate Sensors

Thank you very much for downloading aided navigation gps with high rate sensors. As you may know, people have look numerous times for their favorite readings like this aided navigation gps with high rate sensors, but end up in malicious downloads. Rather than reading a good book with a cup of coffee in the afternoon, instead they are facing with some malicious virus inside their laptop. aided navigation gps with high rate sensors is available in our digital library an online access to it is set as public so you can get it instantly. Our book servers saves in multiple locations, allowing you to get the most less latency time to download any of our books like this one. Merely said, the aided navigation gps with high rate sensors is universally compatible with any devices to read.
A 108 F2/Bit Fully Reconfigurable RRAM PUF Based on Truly Random Dynamic Entropy of Jitter Noise

In this paper, we present a fully reconfigurable resistive random access memory (RRAM) physical unclonable function (PUF) based on the truly random dynamic entropy of the ubiquitous jitter noise, which is intrinsically different from most previously demonstrated PUF implementations with semiconductor fabrication’s process variation as the static entropy source. In addition, the proposed RRAM PUF is operated by configuring the mainstream RRAM cells to either high resistance state (for ‘1’) or low resistance state (for ‘0’), according to the customized ring oscillator (RO) true random number generator’s digital output that is determined by the random jitter noise. By completely removing the need of dedicated split resistance circuitry (SRC) in existing RRAM PUFs, the proposed implementation is fully compatible with the SET/RESET operations of the RRAM array for mainstream memory applications, leading to minimized design overhead and enhanced reliability without SRC-caused error bits. Fabricated using 130 nm standard complementary-metal-oxide-semiconductor (CMOS) process plus post-processing dedicated to the RRAM devices, the proposed RRAM PUF cell features an ultra-compact footprint of <inline-formula> <tex-math notation="LaTeX">$1.82~\mu \text{m}^{2}$ </tex-math></inline-formula> (i.e., 108 <inline-formula> <tex-math notation="LaTeX">$F^{2}$ </tex-math></inline-formula>), which is capable of generating ~10<sup>7</sup> PUF bits per cell due to the time-variant property of jitter noise and the full reconfigurability of the RRAM PUF. This significantly innovates all the previous weak PUF implementations based on the static entropy source of process variation, where the maximum bit number per PUF cell is always limited and fixed after the chip fabrication. Meanwhile, ultra-low native unstable bits of 0.28% and bit error rate (BER) per 10°C of 0.03% can be achieved for the fabricated RRAM PUF. Moreover, by passing the widely-adopted bias test, National Institute of Standards and Technology (NIST) test and autocorrelation function (ACF) test under various VT conditions, the true randomness of the customized RO TRNG’ dynamic entropy is validated using 65 nm standard CMOS process. Compared with the state-of-the-art weak PUF implementations, the native unstable bits is improved by <inline-formula> <tex-math notation="LaTeX">$5.36\times $ </tex-math></inline-formula> and the BER per 10°C is improved by <inline-formula> <tex-math notation="LaTeX">$4\times $ </tex-math></inline-formula>, even under the widest operating temperature range from −50°C to 150°C.
RSSI and Flower Pollination Algorithm Based Location Estimation for Wireless Sensor Networks

Wireless Sensor Networks (WSN’s) have been finding to itself new applications continuously. Many of these applications need location information of nodes. The localization of nodes can be made by range based or range free localization methods conventionally. Angle-of-Arrival (AoA), Time-Difference-of-Arrival (TDoA), Received Signal Strength Indicator (RSSI), Time-of-Arrival (ToA) are well known range based methods. Therefore AoA, ToA and TDoA have some hardware and software difficulties for nodes which have limited processing and power sources. However RSSI based localization doesn’t cost high processing resources or complex hardware modifications. Most of the WSN nodes already have RSSI measurement capability. However RSSI measurements is vulnerable to noise and environmental effects. Therefore error of RSSI based localization can be over to an acceptable level. Centroid, APIT, DV-Hop and Amorphous are some of the range free localization methods. Range free methods can only give location information approximately but they don’t need any extra hardware or high processing capability. In this study WSN nodes are assumed randomly or regularly distributed on a certain area. Some of the nodes are beacon nodes. The beacon nodes are assumed as having higher power resources and GPS receivers. The locations of nodes are assumed as fixed. The beacon nodes send their location information sequentially. Localization of nodes are made through RSSI and location information of beacon nodes. The mean of RSSI is calculated to reduce effect of noise on it. A rough location estimation made by weighted centroid. A probabilistic based location estimation and flower pollination algorithm (FPA) are used separately to make final decision about the location. Rough estimates are used to limit search area of flower pollination algorithm in order to reduce convergence time.
Optical Character Recognition

Handwriting recognition is the ability of a computer to receive intelligible handwritten input. The image of the written text may be sensed "off line" from a piece of paper by optical scanning(optical character recognition). Due to the poor performance achieved by these systems at that time, less research on handwriting recognition took place during the eighties. The first research works dealt with the recognition of isolated hand printed characters. These works followed on the works carried out on OCR, i.e. optical character recognition. Later on ,researchers began to study the recognition of on-line (dynamic) cursive handwriting and even more recently those of off- line(static) cursive handwriting. More recently, the combination or cooperation of several independent recognizers, the use of lexicons or dictionaries and of language models as post-processing have been suggested to improve the overall efficiency of the system. In this paper to solve this problem, we constructed OCR system that saves abstracted characters to DB automatically after extracting only equivalent and necessary characters from a large amount of document by using Kohonen algorithm that is one of Artificial neural network.
Concordance of actigraphic and ecological momentary assessed sleep

There are many studies that examine different forms of sleep measurement in order to understand sleep patterns within different populations, including those with mental health issues, sleep disorders, chronic pain, and adolescents. These studies often compare subjective and objective methods of sleep measurement to observe whether or not they are in agreement. In this thesis, we examine concordance between a subjective sleep measurement, in the form of a questionnaire, and an objective sleep measurement, in the form of an actigraphic sleep watch. Four subjective questions were paired with four actigraphic sleep measurements for analysis. Continuous actigraphic measurements were categorized into quartiles or deciles to compare with their subjective categorical counterparts. Concordance was tested using three-level nested longitudinal models and Bland-Altman plots. We also analyze these variables to check for a directional influence over time using cross-lag regression methods. The intraclass correlations from the longitudinal analysis and the Bland Altman plots both revealed that the two methods of sleep measurement are not concordant. The cross-lag regression analysis indicated that there is a statistically significant directional influence for the participants’ number of awakenings and quality of sleep. Our findings supplement the findings of prior research about the lack of concordance of sleep measurement, while also adding to this work by considering directional influence. vPublic Health Significance: Sleep habits can impact a person’s immune system, metabolism, autonomic nervous system activity, and mental health. Understanding if different methods of sleep measurement are concordant is necessary for future investigators to assess the accuracy of each measurement and choose which measurement is the most appropriate for their research. The cross-lag regression methods used in this analysis could be utilized by future researchers to understand the directional influence of other sleep variables over time.
Latent domain models for statistical machine translation

A data-driven approach to model translation suffers from the data mismatch problem and demands domain adaptation techniques. Given parallel training data originating from a specific domain, training an MT system on the data would result in a rather suboptimal translation for other domains. But does suboptimality of translation happen only in such an extreme scenario of domain mismatch? This dissertation shows that training SMT systems on heterogeneous corpora (e.g. EuroParl) may also result in suboptimal performance of statistical translation systems. Specifically, it is clear that a word/phrase could be translated in different ways when it comes to different domains. The translation statistics induced from word alignment models and phrase-based models, however, reflect translation preferences aggregated over diverse domains in heterogeneous corpora. In this sense, they can be considered as coarse and domain-confused statistics. This dissertation shows that domain-confused statistics may harm performance of both word alignment and phrase-based models. Another important contribution of this dissertation is to provide a principled way to address the problem. We focus on learning the translation statistics with respect to each of diverse domains (i.e. domain-focused translation statistics). With our method of domain induction for translation, we present a comprehensive study of domain adaptation for statistical machine translation, including four specific case studies Data Selection, Phrase-Based Translation, Word Alignment and Rewarding Domain Invariance in translation. Finally, we briefly describe Scorpio, the ILLC-UvA Adaptation System submitted to an adaptation task at WMT 2016, which participated with the language pair of English-Dutch. This system consolidates the ideas in the thesis on latent variable models for adaptation. Results validate the effective adaptation performance in a competitive setting.