Miracle-dz/UniFAR-FTUs huggingface dataset:
Numerical Simulation of Electrohydrodynamic (EHD) Atomization in the Cone-Jet Mode

Electrohydrodynamic (EHD) has been applied in many areas, such as EHD atomization, EHD enhanced heat transfer, EHD pump, electrospray nanotechnology, etc. EHD atomization is a promising materials deposition technique as it allows uniform and regular deposition, and offers a range of other advantages, such as low cost compared with other current techniques, easy set-up, high deposition rate, and ambient temperature. Simulation is carried out using ANSYS FLUENT system. The approach in this work was to simultaneously solve the coupled (EHD) and electrostatic equations. The fields of velocities and pressure, as well as electric characteristics of EHD flows, are calculated. The model does not include a droplet break-up model.
The Dynamics of Tension Leg Platforms in Waves

The dynamic response characteristics of the taut-moored platform or the so-called Tension Leg Platform in regular waves are studied both by several series of tank tests and by some simplified methods of linear and nonlinear analyses. By comparison of the results it is shown that the analytical methods are valid and practical. In this paper the nonlinear responses observed in the model tests, as well as the characteristics of the linear frequency responses, are discussed in detail and clarified. In addition, statistical analysis is carried out on a full-scale TLP model in a real sea state.
On the evaluation of heating, ventilating and air conditioning systems

Abstract The combination of high demands concerning indoor air quality and thermal comfort as well as low environmental impact, while maintaining a building's energy consumption at acceptable levels, makes it necessary to develop a method for choosing and managing, in the best possible way, heating, ventilating and air conditioning (HVAC) systems in new and existing buildings. This chapter presents a methodology that is based on a combination of two analysis tools, multi-criteria decision making and building simulation, in order to rank scenarios concerning the design of HVAC systems under different perspectives: economic performance, energy consumption, users' satisfaction and environmental impacts. The use of the ELECTRE III method and the coupling of TRNSYS and COMIS simulation programs are thoroughly discussed. The criteria describing the problem and an application example in order to evaluate the model are analytically presented.
San Diego’s Interstate 15 Congestion Pricing Project: Traffic-Related Issues

Traffic-related findings from the evaluation of the Interstate 15 (I-15) congestion pricing project are summarized. The project was a 3-year demonstration that allowed single-occupant vehicles (SOVs) to use the existing I-15 high-occupancy-vehicle (HOV) lanes, known as the I-15 express lanes, for a fee. San Diego State University conducted an independent, multielement evaluation of the I-15 pricing project to assess its impacts for both the ExpressPass and FasTrak phases of this demonstration. The primary project goals were (a) to maximize use of the existing I-15 express lanes, (b) to test whether allowing solo drivers to use the express lanes’ excess capacity could help relieve congestion on the I-15 main lanes, (c) to fund new transit and HOV improvements in the I-15 corridor, and (d) to use a market-based approach to set tolls. At the end of 1999, the I-15 pricing project was meeting its primary objectives. There was substantially better utilization of the express lanes. Both ExpressPass and FasTrak were feasible solutions for generating sufficient revenue to fund the new express bus service, called Inland Breeze. Neither ExpressPass nor FasTrak negatively affected carpool volumes on the express lanes; FasTrak was able to redistribute volumes from the middle of the peak to the peak shoulders. Free-flow conditions were maintained at virtually all times. The project’s primary benefit was the reliability of ontime arrival for users. The project was also able to slightly alleviate congestion on the I-15 main lanes. SOV violation rates in the I-15 express lanes remained substantially below the preproject level. Also discussed are the air quality, delay, and park-and-ride impacts of the project.
Pavement Raveling Detection and Measurement from Synchronized Intensity and Range Images

Raveling on asphalt surfaces is a loss of fine and coarse aggregates from the asphalt matrix. The severity of raveling can be an indicator of the state of pavements, as excessive raveling not only reduces the ride quality but eventually leads to pothole formation or cracking. Hence, raveling must be detected and quantified. In this study and for the first time, raveling was quantified from a combination of two- and three-dimensional images. First, a texture descriptor method called Laws’ texture energy measure was used in conjunction with Gabor filters and other morphological operations to distinguish road areas. Then, digital signal processing techniques were used to detect and to quantify raveling. Hundreds of images captured by an automated pavement surveying system were used to test and to show the promise of the proposed algorithm.
Project Financing in Laos’ Hydropower for Export of Electricity to Thailand

Laos, a mountainous and landlocked country, continues to exploit its hydropower potential for export of electricity to neighboring countries such as Thailand, Vietnam and Cambodia. Despite the great development potential and market opportunities both inside and outside the country, the scarcity of finance for public investment in the power generation sector has been a bottleneck for Lao hydropower. Private investment has therefore been sought and promoted through an independent power producer (IPP) approach which relies on the availability of project funds from the private sector. Currently, six privately-financed hydropower projects operated by private companies are exporting electricity to the grids of Laos’ neighbors. Ten additional hydropower projects developed with private financing are now under construction, and several other projects now under consideration as to their technical feasibility are planned to achieve power-on by 2020. DOI: http://dx.doi. org/10.3126/hn.v10i0. 7096 Hydro Nepal Vol.10 January 2012 7-10
Research of Single well Production Prediction Based on Improved Extreme Learning Machine

In order to improve the precision of oilfield single well production prediction, a single well production prediction model based on improved extreme learning machine (RWELM) is proposed. Substituting wavelet function for common activation function, structural risk minimization principle is integrated into the model in order to avoid the local minimum and over-fitting problem commonly faced by traditional extreme learning machine (ELM) in single well production forecasting. Dynamic data of an oil well production is simulated of Lun Nan oilfield. Experimental results show that the forecasting model is better than ELM, LM-BP neural networks, BP network with delay time sequence in both generalization performance and predictive accuracy.
Treatment of Scattering in Nano‐Films

In this communication we implemented a rigorous treatment of scattering in nano films within the NEGF simulation platform. Results obtained by applying the rigorous scattering model to simulate the devices, were used as a benchmark to validate a simple, computationally efficient, phenomenological treatment of scattering. The NEGF method is used to study the effect of electron confinement on silicon nano films and wires. Electron confinement results in almost a factor of 3 decreases in the electrical conductivity of the 5 nm silicon film compared to the 10 nm film. Increase in the amount of confinement also leads to a 35% decrease in the conductivity of a 5 nm×5 nm wire compared to the 5 nm film.
A fuzzy logic control scheme for a solar photovoltaic system for a maximum power point tracker

Many maximum power point (MPP) tracking techniques for photovoltaic systems have been developed to maximize the produced energy and many of these are well established in the literature. These techniques vary in many aspects such as simplicity, convergence speed, digital or analogue implementation, sensors required, cost and range of effectiveness. This paper proposes an artificial intelligence-based fuzzy logic control scheme for the MPP tracking of a solar photovoltaic system under variable temperature and insolation conditions. The method uses a fuzzy logic controller (FLC) applied to a dc–dc converter device. The different steps of the design of this controller are presented together with its simulation. Simulation results are compared with those obtained by the perturbation and observation controller. The results show that the FLC exhibits a much better behaviour.
A Discrete Fourier Transformation-based Method for Phase Delay Estimation in X-ray Pulsar Navigation

X-ray pulsar navigation is a promising technology for autonomous spacecraft navigation. The key measurement of pulsar navigation is the time delay (phase delay). There are various methods to estimate phase delay, but most of them have high computational complexities. In this paper, a new method for phase delay estimation is proposed, which is based on the time-shift property of Discrete Fourier Transformation (DFT). With this method, the time complexity can be greatly reduced. Also, a delta-function approximation can be used to further decrease the computational cost. Numerical simulation shows that the proposed method is effective for phase delay estimation, and the reduced complexity makes our method more suitable for on board implementation.
Voltage sag source location identification

In recent years several methods have been proposed to identifying the voltage sag source location. The basis of most of these methods is to determine if the source originated upstream or down stream from the monitoring location. This study proposes a method that is capable of identifying the voltage sag originated bus. A technique of observing the network based coefficients is applied network wide, where any unmonitored bus voltages are estimated prior to making a decision on voltage sag source location. The study concludes with the outcome and limitation of this method and proposes further improvement.
State of the art of the bioliq® process for synthetic biofuels production

Synthetic fuels from biomass (also referred to as BTL, biomass to liquids) may contribute to the future motor fuel consumption to a considerable extent. To overcome the logistical hurdles connected with the industrial use of large quantities of biomass, the de‐central‐centralized bioliq® concept has been developed. It is based on a regional pretreatment of biomass for energy densification by fast pyrolysis. The intermediate referred to as biosyncrude allows for economic long‐range transportation. Collected from a number of those plants, the biosyncrude is converted into synthesis gas, which is cleaned, conditioned, and further converted to fuels or chemicals in an industrial plant complex of reasonable size. Gasification is performed in a high‐pressure entrained flow gasifier at pressures adjusted to those of the subsequently following chemical syntheses. For increased fuel flexibility and conversion of ash rich feed materials, the gasifier is equipped with a cooling screen operated in slagging mode. At Karlsruhe Institute of Technology (KIT), a pilot plant has been erected for process demonstration along the whole process chain. The two MWth fast pyrolysis plant is already in operation since 2009; the five MWth gasifier, the hot gas cleaning section, and a gasoline synthesis via dimethylether are to be finished in 2011. Commissioning of that plant complex will follow in 2012. The technology applied in the bioliq® process chain and on the state of construction of the pilot plant is presented. © 2012 American Institute of Chemical Engineers Environ Prog, 2012
Multiplier Phototubes for Single Electron Counting

Typical operating characteristics of ITT Industrial Laboratories' special purpose multiplier phototubes are described, with particular emphasis on the ability of these tubes to count single photoelectrons with minimum interference from dark noise. This ability, of particular significance in the detection of low energy quanta, including single photons, follows from the Poisson-like output pulse height distribution observed in the tubes in which a well-defined most probable pulse amplitude appears, compared to a more complex but lower amplitude dark noise pulse height spectrum. Other features of these tubes, such as adjustable cathode size and shape, electrical deflection for automatic gain calibration, alignment and image tracking, and reduction of dark noise with cooling, are also described.
Implementing a Trust and Reputation Model for Robotic Sensor Networks

Robotic sensor networks (RSNs) can be described as networks of devices equipped with communication, sensing and actuation capabilities. Successful implementations of RSNs require tackling challenging problems lying at the intersection of robotics, communication and perception. In addition, RSNs resemble human societies and emerging intelligent multi-agent systems in some respects. In these collaborative distributed systems, each node decides which to interact with and forms a network with other nodes in order to improve the quality of the decisions. In order to achieve this goal, trust and reputation models are of practical use. In this paper, a trust and reputation model for RNSs is proposed. Also, performance evaluations of the model in comparison with well-known models in the literature are given to prove its effectiveness. The results of the performance evaluations prove that the proposed model is successful in RSNs comprising of a large number of sensor nodes. In addition, the processing and memory requirements of the proposed model are moderate and the system runs effectively in systems with low processing power and limited main memory. DOI: http://dx.doi. org/10.5755/j01.eee. 19.10. 5884
An Improved Multiple Features and Machine Learning-Based Approach for Detecting Clickbait News on Social Networks

The widespread usage of social media has led to the increasing popularity of online advertisements, which have been accompanied by a disturbing spread of clickbait headlines. Clickbait dissatisfies users because the article content does not match their expectation. Detecting clickbait posts in online social networks is an important task to fight this issue. Clickbait posts use phrases that are mainly posted to attract a user’s attention in order to click onto a specific fake link/website. That means clickbait headlines utilize misleading titles, which could carry hidden important information from the target website. It is very difficult to recognize these clickbait headlines manually. Therefore, there is a need for an intelligent method to detect clickbait and fake advertisements on social networks. Several machine learning methods have been applied for this detection purpose. However, the obtained performance (accuracy) only reached 87% and still needs to be improved. In addition, most of the existing studies were conducted on English headlines and contents. Few studies focused specifically on detecting clickbait headlines in Arabic. Therefore, this study constructed the first Arabic clickbait headline news dataset and presents an improved multiple feature-based approach for detecting clickbait news on social networks in Arabic language. The proposed approach includes three main phases: data collection, data preparation, and machine learning model training and testing phases. The collected dataset included 54,893 Arabic news items from Twitter (after pre-processing). Among these news items, 23,981 were clickbait news (43.69%) and 30,912 were legitimate news (56.31%). This dataset was pre-processed and then the most important features were selected using the ANOVA F-test. Several machine learning (ML) methods were then applied with hyper-parameter tuning methods to ensure finding the optimal settings. Finally, the ML models were evaluated, and the overall performance is reported in this paper. The experimental results show that the Support Vector Machine (SVM) with the top 10% of ANOVA F-test features (user-based features (UFs) and content-based features (CFs)) obtained the best performance and achieved 92.16% of detection accuracy.
Evaluation of voice codec performance for the Inmarsat mini-M system

In this paper the method and results of a subjective evaluation are presented which was conducted in order to select a new speech codec for the Inmarsat mini-M system. The mini-M system is designed to provide the next generation of global, notebook-sized satellite terminals for transportable, land-mobile and maritime voice, facsimile, and data communications. Overall, six different codecs operating at a combined source and channel rate of 4.8 kbit/s were evaluated in a series of six subjective tests. From this, it was concluded that one codec was able to deliver performance that is equivalent to, or better than, the IS-54 full-rate digital cellular 8 kbit/s VSELP codec, and was selected for use in the mini-M system.
Role of computer aided detection (CAD) integration: case study with meniscal and articular cartilage CAD applications

Knee-related injuries involving the meniscal or articular cartilage are common and require accurate diagnosis and surgical intervention when appropriate. With proper techniques and experience, confidence in detection of meniscal tears and articular cartilage abnormalities can be quite high. However, for radiologists without musculoskeletal training, diagnosis of such abnormalities can be challenging. In this paper, the potential of improving diagnosis through integration of computer-aided detection (CAD) algorithms for automatic detection of meniscal tears and articular cartilage injuries of the knees is studied. An integrated approach in which the results of algorithms evaluating either meniscal tears or articular cartilage injuries provide feedback to each other is believed to improve the diagnostic accuracy of the individual CAD algorithms due to the known association between abnormalities in these distinct anatomic structures. The correlation between meniscal tears and articular cartilage injuries is exploited to improve the final diagnostic results of the individual algorithms. Preliminary results from the integrated application are encouraging and more comprehensive tests are being planned.
Modified genetic algorithm for extracting thermal profiles from infrared image data

Analysis of the thermal profile of an electronic circuit card during warm-up can be useful in detecting malfunctioning components on the card. Extracting the thermal profile can require the processing of 10 to 15 images of 600,000 bytes each. By extracting the heat transient associated with the heat sources on the circuit card, this problem of characterizing the thermal transient can be reduced to one of modeling the peak temperatures associated with a handful of components. The thermal profile of each component can be modeled as a function of four parameters: three are functions of the heat dissipation characteristics of the circuit card, and the fourth is proportional to the power consumption of the component generating the heat. Extraction of the parameters was achieved through a modified genetic algorithm. The genetic algorithm was employed when traditional techniques of Newton, non-linear regression, gradient search, and binary search proved to be slow, unstable, and unreliable. In traditional genetic algorithm implementations, improvement in performance ceases when improvement requires a simultaneous mutation of two or more variables. We seem to have circumvented the difficulty by expressing the problem in the differential domain, and coupling the genetic algorithm with a cooperative `follow the leader' approach to optimization. The extracted power consumption parameters are then employed to distinguish between `good' and `bad' cards.
THE EFFECT OF GENDER ON UNIVERSITY TEACHERS ICT USE

Information communication technology (ICT) that is used in instruction has attracted the attention of researchers with many studies having looked at the factors affecting how university instructors apply it in their teaching. Yet little is known about whether the gender of university teachers can impact their ICT use. This research relies on quantitative data from a survey of 428 teachers at the University of Ljubljana in Slovenia to explore differences in pedagogical ICT use in terms of gender. The results show that gender positively correlates with ICT use and that particular ICT tools and their pedagogical uses are more frequent among female teachers whereas males scored higher for certain ICT-related attitudes. This implies that gender may be viewed as a predictor of certain types of and attitudes to ICT use in university instruction.
Experimental Evaluation of Axial Behavior of Strengthened Circular Reinforced-Concrete Columns

Insufficient or deteriorating reinforced-concrete piers in many existing bridges are required to be strengthened using economical, fast, and efficient methods. Currently, only a few methods can be used to strengthen circular columns. Steel jackets and fiber-reinforced polymer (FRP) composites are the two commonly used methods. In this study, along with these two strengthening methods, concrete jackets reinforced with spiral rebar, welded wire fabric (WWF), and a new steel reinforcement called PCS are investigated under different axial-load applications. Fifteen identical specimens were constructed, strengthened, and tested: one column with no strengthening; three columns strengthened with FRP; two with steel jacketing; and nine with concrete jacketing (two with WWF, three with spiral rebar, and four with the new reinforcement). The bare or unretrofitted specimens had a 152 mm (6 in.) diameter, while the outside diameter of concrete-jacketed specimens was 254 mm (10 in.). Effectiveness of each strengthenin.
Investigation on cam–follower lubricated contacts

The Investigation on cam–follower contact is one of the most complex lubricated non-conformal contact due to its continuous variation of load, speed, and geometry. The complexity of the phenomena occurring in the camshaft systems makes experimental verifications very important. In this study, an already existing versatile experimental apparatus for the investigation of non-conformal lubricated contacts, able to measure film thickness using the optical interference method and friction force trough a load cell, has been modified in order to test cam–follower contacts. Some tests have been carried out for investigating the behaviour of some fundamental components of the rig. A theoretical/numerical simulation has been performed to investigate the dynamic behaviour of the system and in order to provide some indications for the interpretation of the experimental results. Purposely developed versions of the programme have been also an important support for the design of a new apparatus specifically addressed to the cam–follower contact with increased potentialities capable of more detailed measurements of film thickness and contact forces. The apparatus is able to reproduce a cam–follower mechanism that uses a rocker as a link device between the cam follower set and the valve.