Miracle-dz/UniFAR-FTUs huggingface dataset:
Predicting the Sincerity of a Question Asked

The growth of applications in both scientific socialism and naturalism causes increasingly difficult to assess whether a question is sincere or not. It is mandatory for many marketing and financial companies. Many utilizations will be reconfigured beyond recognition, especially text and images, while others face potential extinction as a corollary of advances in technology and computer science in particular. Analyzing text and image data will be truly needed for understanding valuable insights. In this paper, we analyzed the Quora dataset obtained from Kaggle.com to filter insincere and spam content. We used different preprocessing algorithms and analysis models providing in PySpark. Besides, we analyzed the manner of users established in writing their posts via the proposed prediction models. Finally, we show the most accurate algorithm of the selected algorithms for classifying questions on Quora. The Gradient Boosted Tree was the best model for questions on Quora with accuracy that is 79.5%. Compared to other methods, the same building in Scikitlearn and machine learning LSTM+GRU, applying models in SpySpark could get the better answer in classifying questions on Quora.
The Value of the Increasing Effort to Maintain High Response Rates in Telephone Surveys. Minneapolis, MN: Joint Statistical Meetings

Declining response rates and coverage in random-digit-dial (RDD) telephone surveys have been observed by many researchers. Several studies have also shown that efforts to increase response rates often do not significantly affect estimates for key outcome variables, but few such studies have been conducted on large scale surveys including a broad range of health services measures. Using the Community Tracking Study Household Survey, a health services survey of roughly 30,000 families per round based on a national RDD sample, we examine the impact on key survey estimates of different simulated levels of effort. Using call history data, we simulate fewer call attempts, fewer refusal conversion attempts, and shorter time periods in the field than were actually pursued, and then re-weight the data according to the simulated outcomes. We then examine the impact of these reduced efforts on weighted estimates, comparing them to the estimates resulting from the complete survey data. These comparisons shed light on whether reducing the level of effort during data collection is likely to affect survey estimates for commonly used health services measures.
Preliminary biplane tests in the variable density wind tunnel

Biplane cellules using the N.A. C.A. -M6 airfoil section have been tested in the variable density wind tunnel of the National Advisory Committee for Aeronautics. Three cellules, differing only in the amount of stagger, were tested at two air densities, corresponding to pressures of one atmosphere and of twenty atmospheres. The range of angle of attack was from -2 degrees to +48 degrees. The effect of stagger on the lift and drag, and on the shielding effect of the upper wing by the lower at high angles of attack was determined.
Disaggregated Memory Architectures for Blade Servers

Current trends in memory capacity and power of servers indicate the need for memory system redesign. Memory capacity is projected to grow at a smaller rate relative to the growth in compute capacity, leading to a potential memory capacity wall in future systems. Furthermore, per-server memory demands are increasing due to large-memory applications, virtual machine consolidation, and bigger operating system footprints. The large amount of memory required is leading to memory power being a substantial and growing portion of server power budgets. As these capacity and power trends continue, a new memory architecture is needed that provides increased capacity and maximizes resource efficiency. This thesis presents the design of a disaggregated memory architecture for blade servers that provides expanded memory capacity and dynamic capacity sharing across multiple servers. Unlike traditional architectures that co-locate compute and memory resources, the proposed design disaggregates a portion of the servers' memory, which is then assembled in separate memory blades optimized for both capacity and power usage. The servers access memory blades through a redesigned memory hierarchy that is extended to include a remote level that augments local memory. Through the shared interconnect of blade enclosures, multiple compute blades can connect to a single memory blade and dynamically share its capacity. This sharing increases resource efficiency by taking advantage of the differing memory utilization patterns of the compute blades. This thesis evaluates two system architectures that provide operating system-transparent access to the memory blade; one uses virtualization and a commodity-based interconnect, and the other uses minor hardware additions and a high-speed interconnect. The ability to extend and share memory can achieve orders of magnitude performance improvements in cases where applications run out of memory capacity, and similar improvements in performance-per-dollar in cases where systems are overprovisioned for peak memory usage. To complement the evaluation, a hypervisor-based prototype of one system architecture is developed. Finally, by extending the principles of disaggregation to both compute and memory resources, new server architectures are proposed for large-scale data centers that can double performance-per-dollar when considering total cost of ownership compared to traditional servers.
Business impact visualization for information security and compliance events

Business leaders face significant challenges from IT incidents that interfere with or pose imminent risk to more than one workgroup. Communication, coordination and monitoring are hindered by factors such as the IT incidents’ technical complexity and unfamiliarity, distributed ad-hoc response teams, competing demands for their time, nuanced business dependencies, the lack of reliable IT incident measures and a piecemeal toolset to overcome these challenges. This research proposes a dynamic visual system as a solution to overcome many of these challenges. Starting with a broad outline of improving the awareness and comprehension of security and compliance events for business leaders, this effort enlisted the assistance of seven experienced IT professionals in the Des Moines metropolitan area. A user-centered design methodology was developed that enabled these individuals to influence the selection of a problem space, explore related challenges, contribute to requirements definition and prioritization, review designs and, finally, test a prototype. The group consisted of leaders and senior technical staff working in various industries. At the end of the methodology, a group of unrelated IT professionals, with no prior knowledge, of the research was asked to perform an objective evaluation of the prototype. That evaluation is reported in this document and forms the basis of conclusions regarding the research hypothesis.
Proceedings of the 22nd IEEE/ACM International Conference on Automated Software Engineering

Welcome to Atlanta and the 22nd IEEE/ACM International Conference on Automated Software Engineering, the major annual forum on the theory and practice of automating all aspects of the software-development process. Software engineering is concerned with the analysis, design, implementation, testing, and maintenance of large software systems. Automated software engineering focuses on how to automate or partially automate these tasks to achieve significant improvements in quality and productivity. Formerly known as Knowledge-Based Software Engineering (KBSE), this meeting marks the 10th Anniversary of the conference under its current name This year's program comprises three days of technical paper presentations, a poster session, a series of mini-tutorials presented in parallel with the technical sessions, two full-day and two half-day tutorials, tool demonstrations, a doctoral symposium, and keynote addresses by three prominent members of the community. In addition, five workshops were selected to run prior to the opening of the conference. The evaluation of technical papers was rigorous and highly selective. Each paper was reviewed by at least three reviewers drawn from our international program committee and a pool of expert reviewers. During a two-day meeting, the committee then selected 37 papers from a pool of 312 submissions. In addition, the committee selected 38 submissions for inclusion as short papers, which will be presented in two poster sessions at the conference. We thank all of the members of the program committee and expert review panel for their hard work in putting together such a strong program The meeting, especially the social activities, would not have been possible without generous support from three industrial sponsors â LogicBlox (platinum), Google (silver), and Aflac Insurance (bronze). LogicBlox is an Atlanta-based company that develops high-performance database infrastructure used to power decision-support and financial-planning applications for large retailers worldwide. The company exploits ASE technologies and invests heavily in ASE research. Google, based in Mountain View California, also invests heavily in ASE research and technology. Aflac is a provider of supplemental insurance and is based in Columbus, Georgia. The company invests in IT research and development and is sponsoring the Doctoral Symposium
Indicators for eco-efficiency in recycling systems

The concept of eco-efficiency was introduced by the World Business Councils on Sustainable Development (WBCSD) in 1992. Since then it has been widely adopted among companies to measure and improve the value added while progressively reducing the environmental influence per product or service to the market. However, emphasise has until now mainly been put on the creation stage and to some extent the user stage of products or services, not on the end-of-life stage. In this paper, which is one part of the research project “Eco-efficiency in recycling systems” within the Norwegian research program Productivity 2005-Industrial ecology, we have, by using WBCSDs eco-efficiency as a starting point, developed three categories of indicators that should be used to evaluate and improve the eco-efficiency of recycling systems. The general applicable indicators should be used to measure the eco-efficiency of all kinds of recycling systems. Additionally, If needed, the system specific indicators should be developed for the particularly recycling system analysed. These indicators are the eco-efficiency indicators to be used to evaluate the performance of the whole recycling system. However, in order to change/improve the eco-efficiency an existing recycling system, the company specific indicators should be developed for each of the most contributing company/activity/actor/stage of the life cycle chain for the analysed material or product
Application of GIS to labour market planning in construction

The fluctuations in the demand for construction work have often resulted in skills shortages. This has led to the need for effective construction labour market planning strategies, which enable the construction industry to meet its skills requirements, particularly in periods of peak demand. Existing approaches to construction labour market planning have several limitations. They do not shed light on the socio-economic and spatially influenced issues within which the industry’s skills shortages are rooted. There is, therefore, a need for more appropriate decision-support mechanisms that can take account of spatial problems in terms of skills demand and supply influences. Through industry involvement, this research has explored how GIS can enhance the labour market planning process in construction. The research briefly reviews the nature of labour market planning in construction, introduces geographic information systems, and highlights the opportunities they offer for overcoming the limitations of existing approaches. The implementation of the GIS-based system and its application to a specific labour market planning initiative is then presented. The evaluation of the system by prospective end-users reveals the enablers, barriers and benefits of the system implementation. Organisational issues that had a bearing on the implementation are also examined and recommendations made for further research.
A High-Temperature, High-Voltage SOI Gate Driver Integrated Circuit with High Drive Current for Silicon Carbide Power Switches

High-temperature integrated circuit(IC) design is one of the new frontiers in microelectronics that can significantly improve the performance of the electrical systems in extreme environment applications, including automotive, aerospace, well-logging, geothermal, and nuclear. Power modules (DC-DC converters, inverters, etc.) are key components in these electrical systems. Power-to-volume and power-to-weight ratios of these modules can be significantly improved by employing silicon carbide (SiC) based power switches which are capable of operating at much higher temperature than silicon (Si) and gallium arsenide (GaAs) based conventional devices. For successful realization of such high-temperature power electronic circuits, associated control electronics also need to perform at high temperature. In any power converter, gate driver circuit performs as the interface between a low-power microcontroller and the semiconductor power switches. This dissertation presents design, implementation, and measurement results of a silicon-on-insulator (SOI) based high-temperature (>200 ◦C) and high-voltage (>30 V) universal gate driver integrated circuit with high drive current (>3 A) for SiC power switches. This mixed signal IC has primarily been designed for automotive applications where the under-hood temperature can reach 200 ◦C. Prototype driver circuits have been designed and implemented in a Bipolar-CMOSDMOS (BCD) on SOI process and have been successfully tested up to 200 ◦C ambient temperature driving SiC switches (MOSFET and JFET) without any heat sink and thermal management. This circuit can generate 30 V peak-to-peak gate drive signal and can source and sink 3 A peak drive current. Temperature compensating and temperature independent design techniques are employed to design the critical functional units like dead-time controller and level shifters in the driver circuit. Chip-level layout techniques are employed
Backstepping and control allocation with applications to flight control

In this thesis we study a number of nonlinear control problems motivated by their appearance in flight control. The results are presented in a general framework and can also be applied to other areas. The two main topics are backstepping and control allocation.Backstepping is a nonlinear control design method that provides an alternative to feedback linearization. Here, backstepping is used to derive robust linear control laws for two nonlinear systems, related to angle of attack control and flight path angle control, respectively. The resulting control laws require less modeling information than corresponding designs based on feedback linearization, and achieve global stability in cases where feedback linearization can only be performed locally. Further, a method for backstepping control of a rigid body is developed, based on a vector description of the dynamics. We also discuss how to augment an existing nonlinear controller to suppress constant input disturbances. Two methods, based on adaptive backstepping and nonlinear observer design, are proposed.Control allocation deals with actuator utilization for overactuated systems. In this thesis we pose the control allocation problem as a constrained least squares problem to account for actuator position and rate constraints. Efficient solvers based on active set methods are developed with similar complexity to existing, approximate, pseudoinverse methods. A method for dynamic control allocation is also proposed which enables a frequency dependent control distribution among the actuators to be designed. Further, the relationship between control allocation and linear quadratic control is investigated. It is shown that under certain circumstances, the two techniques give the same freedom in distributing the control effort among the actuators. An advantage of control allocation, however, is that since the actuator constraints are considered, the control capabilities of the actuator suite can be fully exploited.
Ventilative cooling to avoid overheating in low energy buildings

Simulazioni dinamiche tramite Software VELUX EIC IDA ICE 4.1 per l analisi e la soluzione del problema dell'overheating di due low energy buildings tramite l'utilizzo di sistemi di raffrescamento passivo (solar shading and night ventilation) in rispetto dei consumi energetici e dell' ambiente interno (thermal environment). Le simulazioni sono state effettuate per il clima di Copenaghen
Operational Modal Analysis of the Stockholm Waterfront Congress Centre

The Stockholm Waterfront Congress Centre houses a performance venue with a capacity of 3000 spectators, of whom 1650 will be seated on a stand in a cantilevered part of the building. Due to its structural design, the building has a number of natural frequencies in the range of what a jumping crowd can produce. As the venue may be used for pop concerts, it must be ensured that no excessive vibrations will occur. This study describes an operational modal analysis performed on the building, aiming to estimate its dynamic properties and compare these to the results from a finite element analysis (FEA). The measurement series comprised 10 setups and the data was analyzed using the frequency domain decomposition method. A number of possible natural frequencies were estimated, of which three could be considered relatively reliable. Comparison with the FEA results indicated that the structure was stiffer than predicted. This is explained by the conservativeness of the FE model along with low excitation levels during the measurements. Furthermore, not all mass was in place at the time of the measurements, which is likely to have affected the results. An extended summary in Swedish can be found in Appendix B.
Low-cost FM oscillator for capacitance type of blade tip clearance measurement system

The frequency-modulated (FM) oscillator described is part of a blade tip clearance measurement system that meets the needs of a wide class of fans, compressors, and turbines. As a result of advancements in the technology of ultra-high-frequency operational amplifiers, the FM oscillator requires only a single low-cost integrated circuit. Its carrier frequency is 42.8 MHz when it is used with an integrated probe and connecting cable assembly consisting of a 0.81 cm diameter engine-mounted capacitance probe and a 61 cm long hermetically sealed coaxial cable. A complete circuit analysis is given, including amplifier negative resistance characteristics. An error analysis of environmentally induced effects is also derived, and an error-correcting technique is proposed. The oscillator can be calibrated in the static mode and has a negative peak frequency deviation of 400 kHz for a rotor blade thickness of 1.2 mm. High-temperature performance tests of the probe and 13 cm of the adjacent cable show good accuracy up to 600 C, the maximum permissible seal temperature. The major source of error is the residual FM oscillator noise, which produces a clearance error of + or - 10 microns at a clearance of 0.5 mm. The oscillator electronics accommodates the high rotor speeds associated with small engines, the signals from which may have frequency components as high as 1 MHz.
A Methodology for Measuring the Physiological Strain of Enhanced Soldiers: The 1998 Soldier Combat System Enhancement Study

Abstract : The prime objective of the 1998 Soldier Combat System Enhancement Study was to assess, develop and verify methods to evaluate the physiological performance of dismounted soldiers with basic or enhanced capabilities conducting routine operations in the tropics. Core temperature, mean skin temperature and heart rate are appropriate measures for evaluating the physiological burden of soldier combat system enhancements. Current techniques for measuring mean skin temperature and heart rates are adequate. The measurement of core temperature using rectal thermistors has significant limitations, especially during vigorous activities. Studies of the hydration status of soldiers can be conducted using relatively straightforward methods to determine water intake, weight loss, urine production, and total sweat rate by weight differences. For field studies of hydration, there may be no need to analyze urine for sodium; specific gravity is more easily measured and appears to provide adequate information on hydration status. The robustness of the Metamax used for VO2 measurements was demonstrated and provided real time measurements of oxygen consumption, and of metabolic stress associated with activities.
Production of Dense Range Images with the CVL Light-Stripe Range Scanner.

Abstract : This report describes a system able to produce 512 x 512 range images of model scenes in the laboratory. This ranging instrument, which comprises a light-emitting slit, a cylindrical lens, a step-motor controlled mirror and a CCD camera, is compact enough to be mounted on the tool plate of a robot arm. The light source itself is mounted away from this structure, and the light is brought to the slit by a flexible fiberoptic light guide. The robot arm's motion can be controlled by inputs from the range scanner, for simulation of autonomous vehicles equipped with rangers. This system is programmed to produce range images which are comparable in many respects to range images produced by laser range scanners. With this similitude of formats, software for edge detection, object recognition, dynamic path planning or data fusion with video images can be developed on range images produced by this laboratory equipment and can be easily ported to laser ranging systems. Keywords: Computer vision.
SOLUTIONS INTEGRATING BIM AND INTERNET OF THINGS IN BUILDING LIFE CYCLE: A CRITICAL REVIEW

This article aims at identifying, analyzing, and classifying into classes of problems the components, models, and methods related to the integration of Building Information Modeling (BIM) and Internet of Things (IoT) found in the existing solutions reported in the literature. The guidelines of the Systematic Literature Review (SLR) methodology were used to map related studies, identify artifacts that have been produced addressing such integration, and configure classes of problems. The results show that artifacts are mostly concentrated in the Building Operation and Maintenance phase; there is an increasing interest in the Construction and Commissioning phase, and; models and instantiations are the most recurring artifacts in BIM/IoT integration, which addresses nine different classes of problems and is in full development. BIM model series and uses applied in each context, as well as the technologies associated, are presented. Moreover, the purposes of BIM and IoT in the integration, as well as the main agents involved, are pointed out. The authors indicate new research fields in a post-BIM stage, in which Building Information Modeling transcends for a multidisciplinary context, embracing Sensing Technology and Information and Communication Technology (ICT) specific solutions that should expand static or dynamic relations between physical and virtual environments