Miracle-dz/UniFAR-FTUs huggingface dataset:
LISARM: embedded ARM platform design and optimization

The diffusion of electronic devices in many aspects of the common life has deeply changed not only the industrial production constraints but also the technologies the applications required by the market are based on. Although System-on-Chip technology allows to put heterogeneous components on the same die, the development time of hardwired technologies and the noteworthy constraints imposed by economic return reasons, have led to find new approaches. Hardware-software partitioning is one of the most applied techniques; it allows to divide the target application complexity on two different levels: powerful and flexible programmable system design and complex algorithm implementation for the market demand satisfaction. The development phase must be performed in a coordinated way between the designer groups, so that this approach can ensure reduced times for the product implementation. Other constraints, for power consumption and occupied area, are also important, particularly for mobile devices which have to give long endurance for batteries and higher performance with respect to preceding applications, as required by the customers. In this technology branch, microprocessor based platforms are the most diffused and the ARM7TDMI processor represents a successful product, thanks to its noteworhty performance and low power characteristics. Embedded processors use is not the unique solution, although architectures available on the market furnish many of the characteristics requested by manufacturers, sometimes they are not tailor-made for critical applications or their structure is too complex, with dramatic effects on power consumption and area occupation. A different solution is represented by the ASIPs, i.e. processors specifically designed for target applications, that provide a dedicated instruction-set, built on the software algorithms which have to be executed on them. The programmable architectures design uses particular software environments which allow to describe the instruction-set in a flexible manner, enabling the code reuse by writing it with an Architecture Description Language like LISA 2.0. LISATek Toolsuite and Language for Instruction-Set Architecture allow the processor behavior description in all its aspects, also by a temporal point of view, integrating technologies like pipelining and caching and allowing to obtain an hardware description in HDL, a powerful simulator and all the dedicated tools for software development. Aim of this thesis work is to explore II the possibilities offered by the software environment in the development of a pro-grammable platform based on the ARM7 processor, whose available documentation, due to a number of its applications, allows to analyse in-depth the characteristics to be transferred to …
UNEQUAL POWER ALLOCATION FOR IMAGE TRANSMISSION WITH CHAOTIC COMMUNICATION

The encroachment of wireless communication in the last few decades has led to the development of multiple transmit and receive (MIMO) systems enabling efficient real-time image and video communication. These advantages of multiple antenna systems along with efficient transmission and coding schemes can be explored to achieve very high data rates along with improved data reliability. Following the idea this paper presents a novel approach for transmitting images over a noisy channel. The proposed method employs OFDM and chaotic encoder schemes to achieve distortionless and secure image transmission over the noisy channel.
Classificação e previsão de cardiotocogramas usando algoritmos baseados em redes neuronais

The cardiotocography (CTG) is a clinical exam, performed in pregnants to evaluate the fetal well-being, and have an important role in the obstetrics because it allows evaluating problems with the fetus, especially in the period before labour. However, the result of CTG analysis by different technicians (obstetricians) is not consensual and it is accepted by the medical community the presence of discrepancies in the assessment. These differences can be attenuated with the introduction of automatic classification systems whose main purpose is to ensure the application of the established criteria and to introduce uniformity in signal assessment. The work described here aimed at study the use of Artificial Neural Networks (ANN) in CTG classification and prediction. Different classification methodologies were applied based on feedforward neural networks (FFNN). In this work we also assess the prediction ability of ANNs based on signal characteristics and past behaviour which are important information to determine the future fetal state. In this dissertation, the Focused Time Delay Neural Network (FTDNN) architecture with one step and multi step ahead prediction tasks is used. The results show a good performance of the classification algorithm as well as in the prediction of the CTG signal.
Power-efficient data storage and transfer methodologies: Current solutions and remaining problems

Recent experiments for the realisation of data-dominated multi-media applications have clearly demonstrated that the main power (and largely also area) cost is situated in the memory units and the (bus) communication hardware. On the custom hardware side, several system level memory management related methodologies are being proposed which promise very large savings on power and also on area while still meeting the real-time constraints. Unfortunately, on the software side these methodologies are not applicable as such. In order to alleviate this situation for systems-on-a-chip with a heterogeneous mix of processors, novel methodology and architecture approaches are required. In this research summary paper, the currently available solutions are reviewed and some major problems to be solved in the future are identified.
Design and test of stem diameter inspection spherical robot

Stem diameter is an important parameter in the process of plant growth which can indicate the growth state and moisture content of the plant, its automatic detection is necessary. Traditional devices have many drawbacks that limit their practical uses in general case. To solve those problems, a stem diameter inspection spherical robot was developed in this study. The particular mechanism of the robot has turned out to be suitable for performing monitoring tasks in greenhouse mainly due to its spherical shape, small size, low weight and traction system that do not produce soil compacting or erosion. The mechanical structure and hardware architecture of the spherical robot were described, the algorithm based on binocular stereo vision was developed to measure the stem diameter of the plant. The effectiveness of the prototype robot was confirmed by field experiments in a tomato greenhouse. The results showed that the machine measurement data was linearly correlated with the manual measurement data with R2 of 0.9503. There was no significant difference for each attribute between machine measurement data and manual measurement data (sig > 0.05). The results showed that this method was feasible for nondestructive testing of the stem diameter of greenhouse plants. Keywords: stem diameter inspection, spherical robot, binocular stereo vision, Census transform DOI: 10.25165/j.ijabe. 20191202.4163 Citation: Quan L Z, Chen C, Li Y J, Qiao Y J, Xi D J, Zhang T Y, et al. Design and test of stem diameter inspection spherical robot. Int J Agric & Biol Eng, 2019; 12(2): 141–151.
HCI Pattern Collection - Version 2

One of the core activities in PrimeLife is the desi gn and implementation of privacy-enhancing identity management systems and applications that a re usable. Therefore it is one of the goals of PrimeLife Activity 4 to create an extensive HCI (Hu man Computer Interaction) pattern collection to provide guidelines on how to design usable user interfaces for privacy-enhancing systems and applications. The HCI Pattern Collection ‐ Version 2 presented in this Deliverable provides HCI patterns developed within the first two project yea rs, which should guide all PrimeLife activities that are developing user interfaces. The HCI patter ns are structured into patterns related to privacy policies management and display, patterns for the v isualisation of privacy information, patterns related to workflows and interaction paradigms as w ell as descriptions of interactive PET mockups.
Plant Phenotyping: Past, Present, and Future

A plant develops the dynamic phenotypes from the interaction of the plant with the environment. Understanding these processes that span plant's lifetime in a permanently changing environment is essential for the advancement of basic plant science and its translation into application including breeding and crop management. The plant research community was thus confronted with the need to accurately measure diverse traits of an increasingly large number of plants to help plants to adapt to resource-limiting environment and low-input agriculture. In this overview, we outline the development of plant phenotyping as a multidisciplinary field. We sketch the technological advancement that laid the foundation for the development of phenotyping centers and evaluate the upcoming challenges for further advancement of plant phenotyping specifically with respect to standardization of data acquisition and reusability. Finally, we describe the development of the plant phenotyping community as an essential step to integrate the community and effectively use the emerging synergies.
The role of the velocity-slowness mapping in fan filtering of image sequences

A new approach to designing fan filters for moving objects that is based on mapping from velocity sets to slowness sets is presented. All of the complexity in the application of fan filters to image sequences results from the velocity-slowness mapping not being one-to-one, so the filter response cannot be independently specified at all velocities. Despite this limitation, the fan filter promises to be a powerful tool in image sequence analysis. Both the power and the limitations of the fan filter in this new application are elucidated. <<ETX>>
Study and simulation with VHDL-AMS of the electrical impedance of a piezoelectric ultrasonic transducer

Ultrasonic transducers are a key element that governs the performances of both generating and receiving ultrasound in an ultrasonic measurement system. Electrical impedance is a parameter sensitive to the environment of the transducer; it contains information about the transducer but also on the medium in which it is immersed. Several practical applications exploit this property. For this study, the model is implemented with the VHDL-AMS behavioral language. The simulations approaches presented in this work are based on the electrical Redwood model and its parameters are deduced from the transducer electroacoustic characteristics.
Splicing the Divide: A Review of Research on the Evolving Digital Divide Among K–12 Students

Abstract The digital divide has narrowed with regard to one definition of access to technology—the binary view of the “haves” and “have-nots. ” However, use of technology at home and in school is not equitable for all students. According to recent literature, a broader and more nuanced definition of the technological divide is necessary in order to express the ways technology is used or not used. The purpose of this research review is to examine the defining characteristics of technology use by K–12 students, highlighting the complexities of the evolving digital divide. This review integrates findings from empirical studies, theoretical articles, research reviews, and government surveys in the United States in order to present a renewed look at an evolving digital divide, explore the underlying causes of the unequal student use of technology, suggest directions for future research, and provide current implications for practice.
Second-order DE algorithm

Differential evolution (DE) is a robust, efficient and simple evolutionary algorithm for various optimisation and engineering problems. It has several outstanding features such as low time complexity, ease to use and robust steadiness. So it is becoming more and more popular and is widely used in more and more applications. However, many questions are deserving to consider the critical balance between global exploration and neighbourhood exploitation. The difference vector of the mutation operator for the direction and neighbour information has not been fully exploited. Therefore, a second-order difference vectors based DE, SODE, is proposed, which can efficiently utilise different direction information from the second-order difference vector. The optimal second-order difference mechanisms are proposed for DE/rand/1 and DE/best/1 to utilise the direction and neighbour information from difference vector. Then, it will guide the individuals toward the possible more encouraging areas. Extensive experiments and comprehensive comparisons show that the second-order differenced mechanism in SODE is much better than the classical first-order difference mechanisms based mutation strategy – ‘DE/rand/1’ and ‘DE/best/1’ as far as the converging and steady performance.
A modified Smart Controlling and Monitoring Scheme of Three Phase Photovoltaic Inverter rely on LoRa Technology

Photovoltaics is the core of the greatest current system that using solar energy and it is regarded as the basic of sustainable engineering techniques. It is the method of exchanging daylight straightly to electricity power. The LoRa communication technology is a far-range, economic-power, small rate of bit technology. It is sponsored as a basic settling for the Internet of Things (IOT). This technology is applied where equipment is battery-feed with narrow bandwidth was required. In this manuscript, a novel method that depends on the LoRa technology is considered to observes and governs the power generated from a three-phase Photovoltaics inverter scheme that fed to grid directly. This scheme is designed with dual parts. The first one is for evaluating and control invertor part. This part attaches straight through the inverter to recognize the working of the inverter by changing the state of inverter from far spaces. The second part which is uses the liquid crystal display and a smart-phone observing application. The phone program is prepared using MIT App Inventor to observe and govern the entire scheme. The results show that this system is robust against the circumstances around the system and gives accurate results with minimum error when using in urban lands. The benefit of this system is to monitor and control the photovoltaic system located in remote place without need of attend to generating place.
Reduced-complexity multi-stage blind clustering equaliser

A multi-stage blind clustering algorithm is proposed for equalization of M-quadrature amplitude modulated (QAM) channels. A hierarchical decomposition divides the overall task of equalizing a high-order QAM channel into much simpler sub-tasks. Each sub-task can be accomplished fast and reliably using a blind clustering algorithm derived originally for 4-QAM signals. The constant modulus algorithm (CMA) is used as a benchmark to assess this multi-stage blind equalizer. It is demonstrated that the new blind adaptive algorithm achieves much faster convergence. This multi-stage clustering equalizer only requires slightly more computations than the very simple CMA and, like the latter, its computational complexity does not increase as the levels of digital symbols increase. <<ETX>>
Different Approaches to the Reference Interview.

This article develops two models of reference interview behavior: the Needs-Oriented Model and the Question-Oriented Model. They differ in their objectives, the perceptions or assumptions that underpin them, and their content. Their existence is tested by a reanalysis of a sample of reference interviews in public libraries analyzed ori$inally in Lynch's dissertation on interviews in the public library settmg. The analysis indicates the appropriateness of the models, a high level of confidence among judges in the models' ability to describe behavior, and the prevalence of the question- oriented interviews in the sample.
PREDIKSI HARGA SAHAM BERBASIS WEB DENGAN SISTEM INFERENSI

Sistem prediksi harga saham yang akurat sangat dibutuhkan oleh para investor untuk menentukan kebijakan (pengambilan keputusan) investasi masa datang. Penelitian ini bertujuan merancang dan mengembangkan suatu sistem aplikasi prediksi harga saham berbasis web dengan sistem inferensi fuzi Tsukamoto. Masukan data untuk prediksi adalah berupa variabel permintaan, penawaran dan laju inflasi. Keluaran dari prediksi harga saham adalah nilai prediksi harga saham dalam periode tertentu berdasarkan perhitungan dengan sistem basis data fuzi. Sistem prediksi harga saham yang dirancang, diujikan untuk memprediksi harga saham Bursa Efek Jakarta (BEJ). Hasil penelitian menunjukkan bahwa sistem aplikasi prediksi harga saham berbasis web dengan inferensi Tsukamoto dapat memprediksi harga saham dengan keakuratan yang tinggi dan mempunyai level penerimaan yang baik dari broker. Kata kunci: prediksi harga saham, fuzi, web.
Comparison of Performance Parameters of Reactive, Proactive and Hybrid Routing Protocols in RWP Mobility Model through Qualnet

Wireless Sensors are devices that monitor and record their surroundings physical and environmental parameters and transmit them continuously to one of the source sensors. A collection of such wireless sensors form a network called Wireless Sensor Networks. This technology is considered to be the best for the study of performance parameters. Routing is a technique which we use to select path to send traffic in the network, also called as Protocol. AODV, DYMO, OLSR and IERP are adhoc routing protocols. In this paper we shall study different performance parameters in a Random Waypoint Mobility Model by varying the number of nodes and also changing the maximum speed of a node, such as Average Throughput, Average End to End Delay, Average Jitter, Average PDR (Packet Delivery Ratio) and Total Packets Received. Analysis and performance study is done using Qualnet 6.1 simulator.
Development of a 60 GHz radar for rear-end collision avoidance

In a road collision avoidance system, it is vital to detect with high reliability the distance and approaching speed to an obstacle on the lane in which the vehicle is running. Although laser radar is already used in Japan and microwave radar (24 GHz) in the USA, in order to detect such a distance and approaching speed, there are some problems for both of them-vulnerability to rain, mist, etc. for laser radar applications, and the bulky size, etc. for microwave applications. Millimeter-wave radar systems with excellent environmental resistance and the potential in size reduction have been developed as means to solve such problems, but they have not been used in practice due to the insufficient detection performance, difficulty in on-vehicle installation, cost and so on. This paper discusses a method to improve the detection performance using a new algorithm for digital signal processing and a beam steering method for curved roads, by which remarkable improvements over the conventional system are attained against the false detections of unnecessary objects and failures in detecting necessary objects.
The Common Geometry Module (CGM).

The Common Geometry Module (CGM) is a code library which provides geometry functionality used for mesh generation and other applications. This functionality includes that commonly found in solid modeling engines, like geometry creation, query and modification; CGM also includes capabilities not commonly found in solid modeling engines, like geometry decomposition tools and support for shared material interfaces. CGM is built upon the ACIS solid modeling engine, but also includes geometry capability developed beside and on top of ACIS. CGM can be used as-is to provide geometry functionality for codes needing this capability. However, CGM can also be extended using derived classes in C++, allowing the geometric model to serve as the basis for other applications, for example mesh generation. CGM is supported on Sun Solaris, SGI, HP, IBM, DEC, Linux and Windows NT platforms. CGM also includes support for loading ACIS models on parallel computers, using MPI-based communication. Future plans for CGM are to port it to different solid modeling engines, including Pro/Engineer or SolidWorks. CGM is being released into the public domain under an LGPL license; the ACIS-based engine is available to ACIS licensees on request.
Establishing the nature of context in speaker vowel space normalization

Date_____________ The final copy of this thesis has been examined by the signatories, and we Find that both the content and the form meet acceptable presentation standards Of scholarly work in the above mentioned discipline. Establishing the nature of context in speaker vowel space normalization Thesis directed by Dr. Rebecca Scarborough This study was designed to gain insight into the process through which humans are able to adjust to and understand the speech of unfamiliar speakers, referred to a "speaker normalization". Prior research has suggested that, in order for normalization to occur, a listener has to have some speech data (or "context") to process. The goal of this work was to further elucidate the role of this context, by searching for any effects that frequency of token occurrence and ordinal primacy may have on normalization Comparison of different stimuli in a forced-choice vowel identification task yielded no statistically significant differences, and even after an analysis of sources of error, neither a primacy effect nor a frequency effect was found to be supported by the data. This lack of support raises many interesting theoretical questions and suggests a variety of future avenues of exploration in the field of speaker normalization research.Even when two people speak the same language, the sounds that they produce in the process can vary greatly because every voice is unique. This uniqueness can stem from vocal tract shape and length differences, from differences in the way we produce sounds and other articulatory habits, from differences in the base pitch and pitch range of the voice, and from other physiological factors that may be congenital or acquired. Not all of this variation comes from set characteristics, though. A speaker with any sort of upper respiratory illness or laryngitis will sound different than the same speaker would in good health, and any sort of stress or injury to any part of the vocal tract can affect speech drastically. Even throughout the course of the day, a person's speech will vary due to tiredness and wear from frequent talking. When we add to these factors the sorts of changes that can be caused by missed articulations and speech errors, we see that there's no shortage of unconscious variation even among various utterances made by the same speaker. Once sociolinguistic, linguistic and dialectal variation factors are added in, our first interaction with an unfamiliar speaker is seen to be a formidable …
THE DESIGN AND IMPLEMENTATION OF AN ONLINE DIRECTORY ASSISTANCE SYSTEM

This thesis describes the design and implementation of an online directory assistance system called DIRSYS that was modeled after the white pages of a paper telephone book and a full-screen display editor such as Emacs. As the user begins typing a name, the "pages" of this electronic telephone book appear on the screen, and the entry that most closely matches what the user has typed so far is highlighted. The system provides a tutorial for novice users and an online help facility for novices as well as experienced users. The system also provides a facility for keeping the information in the database up-to-date. A preliminary evaluation of DIRSYS indicates that the system can be used easily by both inexperienced and experienced computer users and that, except for its slow performance, DIRSYS is usable and robust.