Miracle-dz/UniFAR-FTUs huggingface dataset:
Fakebuster: Fake News Detection System using Logistic Regression Technique In Machine Learning

The uncontrollable spread of fake news through the net is irresistible in this globalization era. Fake news dissemination cannot be tolerated as the bad impacts of it to the society is really worrying. Furthermore, this will lead to more significant problems and potential threat such as confusion, misconceptions, slandering and luring users to share provocative lies made from fabricated news through their social media to occur. Within Malaysia context, there is lack in platform for fake news detection in Malay language articles and most of Malaysians received news through their social messaging applications. Fake news can be certainly solved by the aid of artificial intelligence which includes machine learning algorithms. The objective of this project is to propose a fake news detection model using Logistic Regression, to evaluate the performance of Logistic Regression as fake news detection model and to develop a web application that allows entry of a news content or news URL. In this study, Logistic Regression was applied in detecting fake news. Model development methodology is referenced and followed in this project. Based on existing studies, Logistic Regression showed a good performance in classification task. In addition, stancedetection approach is added to improve the accuracy of the model performance. Based on analysis made, this model within stance detection approach yields an excellent accuracy using TF-IDF feature in constructing this fake news model. This model is then integrated with web service that accepts input either news URL or news content in text which is then checked for its truth level through “FAKEBUSTER” application.
Thermal effects of pulsed pumping in semiconductor disk lasers

It has been demonstrated experimentally that pulsed pumping can significantly improve the thermal management in an optically-pumped semiconductor disk laser, and the output power of semiconductor disk lasers under pulsed pumping can be upgraded to times of those under continuous pumping. This paper presents numerical analysis of the thermal effects of pulsed pumping in semiconductor disk lasers, so to theoretically disclose the details of the thermal processes of pulsed pumping. In the simulation, the parabolic heat conduction equation, which is widely employed to describe the transient thermal transfer processes, is solved under cylindrical coordinates by the use of the finite element method, a periodic pump pulses train is assumed, and the maximum temperature rise in the multiple quantum wells active region is focused. The influences of the duty cycle, the repetition rate, and the pulse width of the pump pulses on the maximum temperature rise are investigated, and the results are compared with the case of continuous-wave pumping. Some simulation results are compared with reported data, and the theoretical results are in good agreement with the experiments.
INTERACTIVE DESIGN OF SERVICE ROUTES

The design of transportation‐network service routes is both combinatorially complex and fraught with multiple and conflicting management objectives. The focus of this work is the design and development of a computer‐aided system for assisting in the design of network service routes. The system integrates: (1) Spatial network data; (2) multiobjective heuristic optimization techniques; and (3) an interactive, user‐controlled graphical interface. The result is a systematic methodology for evaluating route configurations that facilitates the identification of solutions that reduce service‐resource requirements while at the same time improve the overall level of service to the network. Although this research was motivated by the need to design winter snow‐ and ice‐control service routes in Indiana, the approach is generalizable to a wide variety of applications requiring service to the edges (road segments) of a network such as crack sealing, pothole repair, painting and striping, weed control, and scheduled i.
Performance Study of Piezoelectric Energy Harvesting to Flash A LED

In this paper, analytical model of parallel and series configurations of identical piezoelectric benders with the increasing number is derived and studied to understand the performance of harvesting electric charge and power to flash a Light Emitting Diode (LED). Experiment was carried out where the flashing intervals of the LED were used to measure the harvesting performance. The benders in parallel configuration were found to perform the best as the number increases. The workability of the benders as a module of self-powered decorative LED as well as an autonomous sensor for monitoring shaking amplitude with reference to the flashing interval was then validated within the consideration of the structural damping.
Exploring Acquisition Strategies for Adopting a Software Product Line

Abstract : Many organizations are attracted to the well-documented benefits of a software product line approach. However, special challenges surround product line acquisition in the Department of Defense. We explain some basics of software product line practice, the challenges that make product line acquisition unique, and three basic acquisition strategies. We next describe the key contractual tasks a supplier must perform and map these to an enterprise view of product line acquisition. Using this context, we explain roles and responsibilities for the organizations involved, and describe important activities and deliverables. This provides a basis for building the necessary artifacts for a successful acquisition.
Preliminary study on the fragility curves for highway bridges in Taiwan

Abstract This paper describes procedures of bridge fragility analysis for the highway bridges on the south‐north freeway in Taiwan, and studies the evaluation of parameters used in bridge damage assessment. The fragility curves are used to represent the probabilities that structural damage, under various levels of seismic excitation, exceed specified damage states. Since it is neither necessary nor practical to evaluate individual bridges, bridge classification and mapping scheme plays an important role. Calculation of site‐specific seismic demand and damage functions (i.e., capacity curves and fragility curves) are the key features in bridge damage assessment and earthquake loss estimation.
A frequency agile active microstrip antenna for CP operation

A frequency agile microstrip antenna for CP operation is presented. The frequency agility is achieved by symmetrical loading of two identical varactor diodes at the radiating edge of the patch, in which the operating frequency of the square microstrip antenna is electronically controlled by the reverse bias voltage of varactor, whereas circular polarization is achieved by four slits and a pair of truncated corners. Theoretical modal for an antenna is developed using modal cavity model and circuit theory concept. The results are validated with MOM‐based simulator and experimental results. A good agreement between the simulated, calculated, and experimental results is obtained. The tuning range is found to be 660 MHz (40.24%) and shows about 71% reduction in antenna size as compared to the conventional circular polarized antenna. Antenna shows consistent radiation characteristics for entire frequency tuning range. © 2012 Wiley Periodicals, Inc. Microwave Opt Technol Lett 54:2205–2209, 2012; View this article online at wileyonlinelibrary.com. DOI 10.1002/mop.27033
Improving Shuttle Ridership Using Intelligent Transportation System Technologies

In Arizona, the Grand Canyon National Park's south rim experiences severe traffic and parking congestion during the summer. To alleviate the issues, a free pilot shuttle route was operated between the gateway community of Tusayan and the park's information plaza during the 2008 summer season. During the pilot program, a traveler information system consisting of a portable dynamic message sign and highway advisory radio was implemented along Route 64 with the intent to increase shuttle ridership. The objective of this study is to evaluate the impact of the intelligent transportation system on shuttle ridership. Data were collected during the pilot program, before and after the implementation of this system. Different analysis methods including multiple linear regression, backpropagation neural network, and support vector regression were applied for analysis. The results found that the support vector regression method performed best in modeling shuttle ridership and associated explanatory variables (traffic volume and system deployment). The results from support vector regression suggested that the traveler information system increased shuttle ridership by 30%, which was consistent with the results from visitor surveys that were completed at the same time as this study. The study showed that the system was effective in shifting visitors from passenger cars to free shuttle buses.
Incidence and Prognosis of Bone Metastases in Common Solid Cancers at Initial Diagnosis: A Population-Based Study

Background Bone is one of the most common sites of advanced tumors. However, there is currently a lack of population-based surveys for the incidence and prognosis of bone metastases in common solid cancers.Methods Patients with 12 types of primary cancer and bone metastases at initial diagnosis between 2010 and 2015 were identified using the Surveillance, Epidemiology, and End Results (SEER) database. The Kaplan-Meier method and Cox logistic regression were conducted to analyze survival and the effect of bone metastases on different cancers.Results We included 89,782 patients with bone metastases at cancer diagnosis. Lung cancer had the highest incidence (17.61%) of bone metastases at diagnosis in any stage, followed by liver cancer (6.29%), nasopharyngeal carcinoma (6.22%) and renal cancer (5.19%). Among patients with breast and prostate cancer, only 3.4% and 4.39%, respectively, were identified as having bone metastases at diagnosis. Breast cancer (32.1%), prostate cancer (25.2%), thyroid cancer (46.8%) and nasopharyngeal carcinoma (24.8%) patients with only bone metastasis have an over 20% five-year survival rate. Compared with patients at a stage previous to metastasis, bone metastasis significantly increased the risk of mortality and reduced survival time, especially for patients with prostate cancer (HR: 19.64, 95% CI 18.36 to 21.02). Concomitant other organ metastases make patient survival worse. Regarding the metastases of prostate cancer, bone metastases are the main type, while for colorectal cancer, bone metastases and concomitant visceral metastases mainly occur.Conclusions The findings of this study provide estimates of the incidence and prognosis of patients with bone metastases during the initial diagnosis of common solid cancers. In addition, we also clarified the degree to which bone metastasis affects patient survival. Patient prognosis depends on the primary type of cancer. These results can be used as a reference for the screening of metastases, and the optimization of personalized treatment options to improve the quality of life and survival of patients.
Mathematical Modeling of Average Driver Speed Control with the Integration of Queuing Network-Model Human Processor and Rule-Based Decision Field Theory

Quantitative prediction and understanding of driver speed control is important to prevent speeding behavior and design vehicle systems. Speed control is a complex behavior of driver longitudinal vehicle control, involving speed perception, decision making (setting a target speed), motor control (foot movement for pedal control), and vehicle mechanics. However, few of existing models is able to cover all of these important aspects together. To address this problem, the current work built a new mathematical driver speed control model with analytical solutions based on rigorous understanding of human cognitive mechanisms in driving, integrated Queuing Network-Model Human Processor (QN-MHP, which already modeled driver lateral control) structure and Rule-Based Decision Field Theory (RDFT), and offered a relatively complete picture of driver speed control in free-flow driving settings. This new model can provide predictions with regard to driving speed, pedal angle and acceleration for average driver.
A Review of the Research on Aeroelasticity in Aero Turbomachinery

Aeroelasticity in the form of blade flutter is a major concern for designers in the field of turbomachinery. This paper presents a review of the research and development on blade flutter modeling, including the unsteady aerodynamic model, the structural model and flutter prediction methods. Based on the presentation of these models, the fundamental mechanism and effects of different treatments are discussed. At the end of paper, some deficiencies in the research of flutter and difficulties in modeling fluid-solid coupling effects are pointed out, to which attention should be paid in future.
Preliminary Investigation of the Limitations Fashion Presents to Those with Vision Impairments

Abstract Though aesthetics may be perceived through all five senses, fashion is almost exclusively perceived visually. This dominance begs the question of how beauty in fashion is interpreted by those with vision impairments. We investigate this question through interviews and a diary study with legally blind individuals to gather their point of view on beauty in clothing and their fashion experiences. Our participants were primarily concerned about the accessibility challenges they face surrounding the visual nature of fashion and current lack of resources that can assist them. Based on these initial findings, we conducted a follow-up survey to identify areas where technology may be universally beneficial for assisting with these challenges and clothing decisions. Our research provides insight into the major aspects of clothing's appeal for blind wearers, the challenges with lack of access, and the potential to create new assistive technology for this population.
Self‐load bank burn‐in test with voltage‐controlled regulator for three‐phase induction motor drives

Abstract In order to save energy and reduce the test costs for motor drives, this paper proposes a novel self‐load bank that uses a circulating current method to perform the burn‐in test on three‐phase induction motor drives. The voltage‐controlled regulator is operated in parallel with the tested unit and controls the tested output current in a manner similar to the operation characteristics of an induction motor load. The tested output current controlled by the regulator simply recycles between the input and output terminals of the tested unit, and does not feed back to the utility system. The rated capacity of the voltage‐controlled regulator of this proposed burn‐in test system is smaller than that of the tested unit. This proposed burn‐in testing system will result in a frequency difference between the tested unit and the utility system. Experimental results show that by using a directly connected RL or motor load, the energy saved in the burn‐in test is approximately 80% of that lost by the conventional method.
Interpretation of data from GPS-collars with movement sensors on cattle

In this study GPS-collars with movement sensors were used on Nelore heifers on relatively small pastures in southern Brazil. Visual observations of the collared animals were made, so that data on the animal's actual behaviour could be compared to the data from the collars. The aim of the study was to verify and discuss the information about cattle behaviour provided by the GPS collars and the movement sensors in them. No conciderable difference between the counts from the left/right and the forward/backward movement sensors could be detected. Hence the sum of the data from both of the movement sensors was used. Different behaviours and combinations of behaviours were tested for correlation to the sum of the movement data, and to distance traveled between the GPS-locations. It was not possible to determine if the animals were ruminating or not. High counts in the sum of the activity data from the movement sensors with some certainity indicated 'Grazing', and low counts in the movement sensor data indicated resting. It was not possible to determine from this study if longer distances traveled between the GPS-locations meant walking, but that is likely the case. The main conclusion from this study is the clear connection between observed grazing and walking behaviour on one hand and the collars recorded activity in movement sensors and distance between GPS-locations on the other. Also, the relationship between the collars data and observed lying and standing are clear as long as the animals are not ruminating.
Network Flow Modeling of Oroville Complex

Network flow programming (NFP) is used to simulate the operation of the Oroville reservoir system of the California State Water Project (SWP). The simulation uses three integrated NFP models developed and calibrated to simulate the hydraulic operation, hydropower generation, and contractual obligations of the California Department of Water Resources (CDWR) to deliver energy to Southern California Edison (SCE): (1) The Oroville Hydraulic Network (ORONET) is designed to meet SWP demands downstream of the Oroville reservoir system and target storage in the complex; (2) the Oroville Periodic Hydraulic Network (OROPRD) determines the hydraulic feasibility of a desired electrical generation pattern at the Oroville complex given the boundary conditions provided by ORONET; and (3) the Thermalito Afterbay Network (THANET) simulates the periodic operation of the Oroville complex to determine energy entitlement SCE. The simulation is performed on weekly and daily levels, with up‐to‐hourly detail. This paper demonstr.
Compact microstrip antennas using CSRR structure ground plane

In this article, a method for simultaneously enhancing the gain and reducing the size of microstrip antennas using a spiral complementary openings resonance ring (CSRR) structure ground plane has been presented. The proposed antenna is successfully designed and measured, which provides frequency band from 5.145∼5.387 GHz. By adjusting the size of the spiral CSRR on the ground plane, small size antenna of 25 × 25 × 0.8 mm3 and 5.8 dBi of relative high gain are achieved. Comparing the simulated and measured results confirm the suitability of the proposed antenna for wireless local area network application. © 2014 Wiley Periodicals, Inc. Microwave Opt Technol Lett 56:117–120, 2014
Statistics of regenerative digital transmission

Statistics of a synchronous binary message pulse train applied to a regenerative repeater are related to those of the original binary message, which is assumed ergodic. It is shown that the ensemble of possible message pulse trains is a nonstationary random process having a periodically varying mean and autocovariance. A spectral density is calculated which shows line-spectral components at harmonics of the pulse rate and a continuous density function, both with intensity proportional to the square of the absolute value of the Fourier transform of the standard pulse at the frequency considered. The continuous component has many properties similar to thermal noise but differs in that, under certain conditions described, it can exhibit regularly spaced axis crossings, can be exactly predicted over finite intervals and is capable of producing discrete components when nonlinear operations are performed on it, even though no line spectral terms are originally present. The analytical results are applied to the problem of deriving a timing wave from the message pulse train by shock-exciting a tuned circuit with impulses occurring at the axis crossings.
Analysis of higher order modes in TEM cells and RCL using the mode matching method

Analysis of the higher order TE and TM modes in transverse electromagnetic (TEM) cells and in general for the rectangular coaxial lines (RCL) with finite metalization thickness for the inner conductor is presented using the mode matching method (MMM). The advantage of this method is its straight-forward formulation which leads to a very reliable algorithm for the computation of fundamental and higher order modes and the characteristic impedance. The basic theoretical steps for the MMM are described and results for the higher order modes for all possible symmetries are presented.
NEW METHODOLOGIES IN THE TEACHING OF HYDRAULICS BASED ON EXPERIMENTATION AND CFD

Lectures and experimental laboratories are fundamental elements for the teaching of hydraulics. The development and advance of this technology, gives us today the possibility of measuring, predicting and analyzing the behavior of a large number of hydraulic variables associated with an experiment; however, many of the hydraulics laboratories intended for teaching, do not have these facilities (e.g. PIV, LIST, ADV, Ultra-high-speed cameras, etc). In order to understand the behavior of flow patterns at different scales, this methodology has been implemented based on experimental data collection and complemented with sophisticated CFD Tools. The results of CFD models show mainly high spatial-temporal resolution hydraulic parameters, such as velocity profiles, water-air interface captures, turbulence, flow patterns, coherent turbulent structures, etc. This paper shows the results that we have obtained by complementing basic measurements of laboratory experiments with high-fidelity simulations with the use of HPC resources for five laboratory sessions and its implementation of the Open Channel Hydraulics course at Pontificia Universidad Católica del Perú.
Ultrasonic motor‐actuated direct drive positioning servo control system using fuzzy‐reasoning controller

This paper describes a traveling-wave ultrasonic motor (USM)-actuated positioning servo driver, suitable for direct-drive motion systems, which incorporates a fuzzy-reasoning software controller with speed and position-variable feedback schemes. The experimental results of this USM position servo driver operating at two-phase high-frequency resonant inverter are illustrated and evaluated using a one-axis servo motion drive system. The results show that the new system using a compact USM that incorporates a microprocessor-based two-input and one-output fuzzy-reasoning controller is cost effective and suitable for special purposes in the industrial, medical, automotive, space and consumer fields.
Imbalanced Fault Diagnosis of Rotating Machinery Based on Deep Generative Adversarial Networks with Gradient Penalty

In practical industrial application, the fault samples collected from rotating machinery are frequently unbalanced, which will create difficulties when it comes to diagnosis. Besides, the variation of working conditions and noise factors will further reduce the diagnosis’s accuracy and stability. Considering the above problems, we established a model based on deep Wasserstein generative adversarial network with gradient penalty (DWGANGP). In this model, the unbalanced fault data set will first be trained by the sample generation network to generate synthetic samples, which will be used to restore the balance. A one-dimensional convolutional neural network with a specific structure is then used as the fault diagnosis network to classify the reconstructed equilibrium samples. The experimental results show that the proposed sample generation network can generate high-quality synthetic samples under highly imbalanced data, and the diagnostic network has a fast training convergence. Compared to the combination methods of support vector machines, back propagation neural network and deep belief network, our method has a 74% average accuracy in all unbalanced experimental conditions, which has 64%, 69% and 87% averages leading, respectively.