Miracle-dz/UniFAR-FTUs huggingface dataset:
A software radio approach to global navigation satellite system receiver design

The software radio has been described as the most significant evolution in receiver design since the development of the superheterodyne concept in 1918. The software radio design philosophy is to position an analog-to-digital converter (ADC) as close to the antenna as possible and then process the samples using a combination of software and a programmable microprocessor. There are a number of important advantages to be gained through full exploitation of the software radio concept. The most notable include: (1) The removal of analog signal processing components and their associated nonlinear, temperature-based, and age-based performance characteristics. (2) A single antenna/front-end configuration can be used to receive and demodulate a variety of radio frequency (RF) transmissions. (3) The software radio provides the ultimate simulation/testing environment. Global Navigation Satellite Systems (GNSSs) are the latest and most complex radionavigation systems in widespread use. The United States' Global Positioning System (GPS) and, to a lesser extent, the Russian Global Orbiting Navigation Satellite System (GLONASS) are being targeted for use as next generation aviation navigation systems. As a result, it is critical that a GNSS achieve the reliability and integrity necessary for use within the aerospace system. The receiver design is a key element in achieving the high standards required. This work presents the complete development of a GNSS software radio. A GNSS receiver front end has been constructed, based on the software radio design goals, and has been evaluated against the traditional design. Trade-offs associated with each implementation are presented along with experimental results. Novel bandpass sampling front end designs have been proposed, implemented and tested for the processing of multiple GNSS transmissions. Finally, every aspect of GNSS signal processing has been implemented in software from the necessary spread spectrum acquisition algorithms to those required for a position solution. The GNSS software radio is the first of its kind and will thus bring all the assets associated with the concept into GNSS receiver research. Not only does the work describe the multiple benefits available through a GNSS software radio implementation, but it also establishes the feasibility of such through actual hardware design and experimental results.
REMOTE SENSING CLASSIFICATION USING MULTI-SENSOR SUPER-RESOLUTION ALGORITHM

Super-resolution image fusion aims to produce an image with finer spectral and spatial details than the input images. However, the super-resolution fusion is mainly applied to enhance a visual representation of the images and its potential benefits to the final thematic classification is an open question. In this paper, we present an experimental investigation of the remote sensing image classification performance in the case of the multi-sensor super-resolution image fusion. The research aims to compare classification performance obtained for the fused image and the low resolution input ones using different standard-of-the-art classifiers and feature extraction methods. Input data are supposed to be multispectral data obtained in visible and near infrared spectral ranges by the different remote sensing systems. To perform a multi-sensor super-resolution image fusion, we used a gradient-descent optimization approach with a B-TV regularization successfully adapted for remote sensing images with different spatial and spectral sampling characteristics by the authors of the paper. As for features, we applied brightness in spectral channels, attribute profiles and local feature attribute profiles. The classification was performed using support vector machines and random forest classifiers that have been proved to be very effective for remote sensing data classification. The experimental research included the multi-sensor input data simulation for four remote sensing systems, the super-resolution image fusion of all simulated images and the thematic classification of the fused image and the images obtained as an average input for each of the simulated imaging systems. The spatial resolution of the fused image was in 2, 3, 4 and 5 times better than the spatial resolution of the modeled input images. The average bandwidth of the fused image was 29 nm whereas for the input low resolution images it was in the range from 37 to 83 nm. Experimental results have shown that random forest classification is better to use with fusion, whereas support vector machines demonstrated better results without fusion. The feature extraction test showed that extended attribute profiles enhance the random forest classification accuracy of the fused image. Thus, the classification results have shown that super-resolution image fusion leads to the classification accuracy increase in the case of random forest classifier and there is no need to apply fusion in the case of support vector machines.
Trajectory generation of the writing–brush for a robot arm to inherit block–style Chinese character calligraphy techniques

This paper relates the trajectory generation of the writing-brush for a robot arm to inherit Chinese character calligraphy (CCC) techniques. First, to preserve the characters written by famous calligraphers in Chinese history, we constructed a CCC database which contains 29 456 characters written by different calligraphers in different styles (ancient, angular, block, semi-cursive and cursive style). With this CCC database, it is possible to search, restore and append the calligraphy writing for a specific character. Second, we mainly relate the inheritance of CCC. Because CCC is not a static thing, but a dynamic process of an activity which concerns a lot of complicated factors such as the pressure and speed control of the writing brush, how to write the start and end of strokes, etc., we propose to inherit this dynamic process by a robot. This paper is limited to discussing how to inherit the writing techniques for block-style calligraphy writing by a robot arm. The total number of Chinese characters is more than 800 000. These characters can be constructed by basic strokes. There are 28 different kinds of strokes used to construct all of these characters. The skeleton of a stroke is decided by the control points that exist within the stroke. The shape of a stroke is determined by the trajectory derived from the control points and the pressure to the writing brush. The control points for 28 strokes are given and the control techniques for a robot to write these strokes in block style are developed. At present, the robot can write any character in block style.
Cloud computing adoption and perceptions of its impact on business-IT alignment in large organisations operating in Ireland

8 SECTION 1: INTRODUCTION 9 SECTION 2: LITERATURE REVIEW 11 2.1 THE STRATEGIC IMPORTANCE OF IT TO ORGANISATIONS 11 2.2 BUSINESS & IT ALIGNMENT IN ORGANISATIONS 12 2.3 CLOUD COMPUTING AND BUSINESS-IT ALIGNMENT (BITA) 15 2.4 CONTEXT: IRELAND AND IT 17 SECTION 3. RESEARCH QUESTIONS 19 SECTION 4. METHODOLOGY 20 4.1 RESEARCH PHILOSOPHY 20 4.1. 1 EPISTEMOLOGICAL POSITION: INTERPRETIVIST 20 4.1. 2 ONTOLOGICAL POSITION: SUBJECTIVIST 20 4.1. 3 RESEARCH PARADIGM: INTERPRETIVE 21 4.2 RESEARCH APPROACH: INDUCTIVE 21 4.3 RESEARCH STRATEGY: CASE STUDY 21 4.4 RESEARCH CHOICE: MONO-METHOD 22 4.5 TIME HORIZON: CROSS-SECTIONAL 23 4.5 DATA COLLECTION (SEMI-STRUCTURED INTERVIEWS) 23 4.6 DATA ANALYSIS: QUALITATIVE, EXPLORATORY 24 4.7 SAMPLING: NON-PROBABILITY, PURPOSIVE, HOMOGENOUS 31 4.7 PRACTICAL EFFORTS 31 4.8 PERSONAL BIASES 32 4.9 RESEARCH LIMITATIONS 33 4.10 RESEARCH ETHICS: 'SITUATION ETHICS: THE END JUSTIFIES THE MEANS' 33 SECTION 5. DATA ANALYSIS AND FINDINGS 34 5.1 CASE STUDY 1 34 5.1. 1 CONTEXT 34 5.1. 2 BUSINESS-IT ALIGNMENT 35 5.1. 3 CLOUD ADOPTION AND ITS IMPACT ON BUSINESS-IT ALIGNMENT 36 5.1. 4 CONCLUSIONS 37 5.2 CASE STUDY 2 38 5.2.1 CONTEXT 38 5.2.2 BUSINESS-IT ALIGNMENT 39 5.2.3 CLOUD ADOPTION AND ITS IMPACT ON BUSINESS-IT ALIGNMENT 40 5.2.4 CONCLUSIONS 40 5.3 CASE STUDY 3 41 5.3. 1 CONTEXT 41 5.3. 2 BUSINESS-IT ALIGNMENT 42 5.3. 3 CLOUD ADOPTION AND ITS IMPACT ON BUSINESS-IT ALIGNMENT 43
Reading comprehension

R e s e a r c h H i g h l i g h t s 1. The use of infographics were significantly effective in helping the pupils to understand the English reading text well. Pupils were able to summarise the text well as they can make better meaning out of the text that they are reading. 2. The combination of various modes of communication that is words and images were effective in making the pupils understand the text better. 3. Multiple intelligences played a key role where the researcher’s urge to put the pupils’ multiple intelligences into consideration to devise the intervention was a success. 4. Pupils were able to make mental representations through the reading materials in the form of texts and also pictures. __________________________________________________________________________________________ R e s ear ch Ob j e c t i v es The aim of this study is to: 1. Determine the effectiveness of the use of infographics in helping pupils in comprehending a text. M e th o d o l o g y This research engages action research as the basis of this research. It focuses of quantitative research. This research uses the Kemmis and McTaggart research design (Kemmis, 2008). This Asia Proceedings of Social Sciences 6(3) Asia Proceedings of Social Sciences (APSS) www.readersinsight. net/APSS
Apply a Project Core View to Promote Project Success

Achieving successful projects is critical and the project manager's role is beyond dispute. Hence, successful recruitment processes that put critical competence requirements in focus could facilitate successful project coutcomes. It is fundamental that a certain project supports the organization's core product, because that is the basis for the organization's success in the first place. Therefore it is important that the project core product is viewed since it is supposed to support the core product. Further, it would be helpful to distinguish between general competences and core competences in order to avoid focusing on more or less insignificant general qualificaion requirements while missing to elucidate the core qualificaion requirements that should be decisive for the outcome. This paper aims at shedding light on the necessity of paying careful attention to project core product and project core competence as basic conditions for project success. Implications for practice and research are discussed.
An overview of Bluetooth Wireless Technology/sup TM/ and some competing LAN standards

Bluetooth Wireless Technology/sup TM/ is a low-cost cable-replacement method for connecting computer-based devices in home and small office environments. Intended as a universal, global standard, it has not developed as fast or as pervasively as initially hoped, but is having a major impact. This tutorial overview presents basic concepts of the Bluetooth standard, the transmission and modulation environments of the unlicensed ISM frequency bands, spread-spectrum communications options, link protocols, data rates, formation of 'piconets' and security features. A review of other standards for wireless LANs is included, with some indications of implementation methods for Bluetooth Wireless Technology.
Transport Revolutions: Moving People and Freight Without Oil

This book reviews the challenges that face industrialized societies as they cope with growing dependence on transport fueled by low-priced oil. The authors caution that the shortfall between expected demand for and supply of world oil production could result in extremely high oil prices; catastrophic climate change offers another issue of contention. The book begins with an exploration of past transport revolutions, to gain insight into the nature and dynamics of profound change. Then the authors describe how the high oil prices in particular could give rise to two or more revolutions in land transport during the first half of the 21st century: the replacement of internal combustion engines by electric motors and the widespread powering of these motors directly from the electric grid rather than from on-board fuel. These transformations would allow considerable movement of people and freight by land in an era of severe energy constraints and concerns about carbon emissions. The authors include marine transportation and aviation in their commentary. Topics include current transport, with a focus on energy use and adverse impacts; the politics and business of transport; and organizational and technical innovations that could ensure effective, secure movement of people and goods in ways that minimize environmental impacts and make the best use of renewable sources of energy. The authors conclude that 2008 and 2009 could be pivotal years in preparing transport for the era of oil depletion, focusing on what could be done in the U.S. and China by 2025.
Protecting invisible children in England: how human rights education could improve school safeguarding

This article brings together two distinct but interrelated fields: human rights education (HRE) and safeguarding. It endeavours to show that the former can be beneficial for the efficacy of the latter. By extending an argument put forward recently that for HRE to be effective it must enable children to recognise and respond to lived human rights injustices, the article places this important issue within the existing framework and processes associated with safeguarding young people in formal education. It attempts to both elucidate and consolidate the connection between HRE and safeguarding, arguing that if HRE were to become an integral part of safeguarding training and delivery, children may be better equipped to recognise and speak up about violations of their human rights, rather than relying on a passive system of adult observation.
Single-switch 3/spl phi/ PWM low harmonic rectifiers

Existing 3/spl phi/ AC-DC low-harmonic rectifiers are costly and require complex control schemes to minimize input current harmonics. Introduced here are two new classes of low cost 3/spl phi/ AC-DC high power factor/low harmonic controlled rectifiers. These are derived from parent DC-DC converter topologies containing boost-type inputs and buck-type inputs. With a single active switch in addition to the diode bridge rectifier, the converters are capable of drawing a high-quality input current waveform naturally at nearly unity power factor. Thus, a simple 3/spl phi/ AC-DC high power factor rectifier is obtained. Two algorithms are introduced in this paper for constructing a 3/spl phi/ AC-DC high-quality rectifier. These algorithms depend on the simple switched-mode boost-type input converter and buck-type input converter modified by an input filter. For most known DC-DC converters which belong to these classes, there are corresponding 3/spl phi/ AC-DC high power factor topologies, which use the same number of transistors and use six additional fast diodes. Analytical and simulation results are supplied to demonstrate the validity of the concept.
Realization of People Density and Smoke Flow in Buildings during Fire Accidents Using Raspberry and OpenCV

Fire accidents in residential, commercial, and industrial environments are a major concern since they cause considerable infrastructure and human life damage. On other hand, the risk of fires is growing in conjunction with the growth of urban buildings. The existing techniques for detecting fire through smoke sensors are difficult in large regions. Furthermore, during fire accidents, the visibility of the evacuation path is occupied with smoke and, thus, causes challenges for people evacuating individuals from the building. To overcome this challenge, we have recommended a vision-based fire detection system. A vision-based fire detection system is implemented to identify fire events as well as to count the number people inside the building. In this study, deep neural network (DNN) models, i.e., MobileNet SSD and ResNet101, are embedded in the vision node along with the Kinect sensor in order to detect fire accidents and further count the number of people inside the building. A web application is developed and integrated with the vision node through a local server for visualizing the real-time events in the building related to the fire and people counting. Finally, a real-time experiment is performed to check the accuracy of the proposed system for smoke detection and people density.
Jointness through fishing days input in a multi-species Fishery

Some multi-species fisheries are characterised by production jointness in the sense that several species are caught through a joint production process (literally in the same haul of the net). Other multi-species fisheries (so called purse seine fisheries) are specialized in the sense that species are targeted individually and by-catch is negligible, but over the fishing season the same boat chooses to target several species with varying intensity which also results in a sort of jointness. Both types of fisheries are typically modelled using standard multi-input multi-output profit function forms (e.g. translog, normalized quadratic). In this paper we argue that jointness in the latter, essentially separable fishery is caused by allocation of fishing days input among harvested species. We developed a structural model of a multi-species fishery where the allocation of fishing days input causes production jointness. We estimate the model for the Norwegian purse seine fishery and find that it is characterised by non-jointness, while estimations for this fishery using the standard multi-input multi-output profit function imply jointness.
Model Risk Analysis of Multiplier Technology Applied at Stock Valuation of Russian Companies

This work is a new direction in the authors’ previous study on applying the market multipliers in assessing the value of oil and gas companies. The work is based on the findings of statistical studies of multipliers calculated for the industry, as well as their volatility over a 12-year period — from 2006 to 2017 inclusively, as exemplified by 46 companies from nine sectors of the economy of the Russian Federation. The analysis of the risk measures Value-at-Risk (hereinafter VaR) and Expected Shortfall (hereinafter ES) was conducted by means of volatility calculated in different ways. In particular, the multiplier volatility was introduced by V. B. Minasyan. It was established that for all nine sectors of the Russian economy, calculated with conventional stock volatility statistics (when possible), risk valuation measures VaR and ES led to lower calculated risk values compared to those calculated using multiplier volatility. The results of the study are of interest to evaluators, investors and other interested parties, as it allows to analyze the general behavior of the stock value in Russian companies and to compare the change in indicators of various economic sectors in terms of multiplier technology.
Non-mass-analyzed ion implantation equipment for high volume solar cell production

Equipment designed for junction formation in silicon solar cells is described. The equipment, designed for a production level of approximately one megawatt per year, consists of an ion implanter and annealer. Low cost is achieved by foregoing the use of mass analysis during the implantation, and by the use of a belt furnace for annealing. Results of process development, machine design and cost analysis are presented.
Pilot Performance and Eye Movement Activity with Varying Levels of Display Integration in a Synthetic Vision Cockpit

PILOT PERFORMANCE AND EYE MOVEMENT ACTIVITY WITH VARYING LEVELS OF DISPLAY INTEGRATION IN A SYNTHETIC VISION COCKPIT Julie M. Stark Old Dominion University, 2004 Director: Dr. James P. Bliss The primary goal of the present study was to investigate the effects of display integration in a simulated commercial aircraft cockpit equipped with a synthetic vision display. Combinations of display integration level (low/ high), display view (synthetic vision view / traditional display), and workload (low/high) were presented to each participant. Sixteen commercial pilots flew multiple approaches under IMC conditions in a moderate fidelity fixed-base part-task simulator. Pilot performance data, visual activity, mental workload, and self-report situation awareness were measured. Congruent with the Proximity Compatibility Principle, the more integrated display facilitated superior performance on integrative tasks (lateral and vertical path maintenance), whereas a less integrated display elicited better focus task performance (airspeed maintenance). The synthetic vision displays facilitated superior path maintenance performance under low workload, but these performance gains were not as evident during high workload. Reproduced with permission of the copyright owner. Further reproduction prohibited without permission. The majority of the eye movement findings identified differences in visual acquisition of the airspeed indicator, the glideslope indicator, the localizer, and the altimeter as a function of display integration level or display view. There were more fixations on the airspeed indicator with the more integrated display layout and during high workload trials. There were also more fixations on the glideslope indicator with the more integrated display layout. However, there were more fixations on the localizer with the less integrated display layout. There were more fixations on the altimeter with the more integrated display and with the traditional view. Only a few eye movement differences were produced by the synthetic vision displays; pilots looked at the glideslope indicator and the altimeter less with the synthetic vision view. This supports the notion that utilizing a synthetic vision display should not adversely impact visual acquisition of data. Self-report mental workload and situation awareness data highlight additional benefits of display integration and synthetic vision displays. Design and retrofit implications are discussed and future research is suggested to further examine these issues. Reproduced with permission of the copyright owner. Further reproduction prohibited without permission.
Outside influence – Some effects of retrofit installers and advisors on energy behaviours in households

We analyse qualitative data from home energy retrofit projects in England, looking beyond the boundaries of the building and its design for human behavioural influences on home energy use. We recognise that energy use is not solely determined by the decisions of building users or designers, but that intermediaries involved in energy retrofit may also be influential. Our focus is on retrofit which encompasses a range of changes to existing buildings to alter energy use. Decisions to incorporate new energy technologies into the home (both energy efficiency and renewable energy technologies), and how these technologies are then used, are shaped by the advice and action of energy efficiency advisers and energy technology installers (intermediaries). Understanding the nature of this influence, and how it might be directed to increase energy efficient behaviours, is an overlooked opportunity. We found that influence was greatest at the pre-installation stage, and that influence which could be exercised post-installation was not realised. We conclude that by recognising how the role and influence of intermediaries varies at each stage of the retrofit process, policy and action can be identified to enhance the contribution intermediaries can make to changing behaviours and reducing domestic energy use.