Miracle-dz/UniFAR-FTUs huggingface dataset:
A Contribution to the IC Engine Cylinder Process Analysis

U radu je promatran proces u motoru SUI bez uobicajene zamjene izgaranja dovodom topline. Primjenom prvog i drugog zakona termodinamike, proracunate su vrijednosti indiciranog tlaka tijekom procesa izgaranja ovisno o dinamici izgaranja goriva , tj. o kutu zakreta koljenastog vratila. Osim indiciranog tlaka metoda primijenjena u radu omogucuje i proracun svih drugih termodinamickih velicina tijekom cijelog procesa u cilindru stroja, ukljucujuci i promjenu entropije zbog neravnotežnosti izgaranja. Izabrani primjer motora i procesa pritom nije posebno reprezentativan jer je sadržaj rada u razradi i demonstraciji rezultata termodinamicke metode proracuna. Rad je baziran na radu  1  , s ucinjena pojednostavljenja u ovome radu odnose se na zanemarivanje disocijacije molekula tijekom izgaranja, ali s otvorenom mogucnosti da se uzme u obzir. Usvajaju se geometrijske vrijednosti motora i radnih parametara iz  2  , uz uporabu oktana C8H18 kao goriva, pa se racuna sa nepotpunim izgaranjem u bogatoj smjesi. Promatrajuci proces izgaranja krece se od sastava 1 koji predstavlja 100%-tnu smjesu goriva i zraka na standardnom stanju. Sam je proces podijeljen na 13 sastava koji predstavljaju razlicite smjese produkata i reaktanata od vec recenog sastava 1 do sastava 13, koji sadrži produkte izgaranja 100% izgorenog goriva. Za razliku od standardnih termodinamickih analiza procesa u motorima SUI, ovdje se koristilo prvim i drugim zakonom za neravnotežne procese, da se dobije bitno potpuniji ali i tocniji uvid u proces.
Design and simulation study of high frequency response for surface acoustic wave device by using CST software

This paper focuses on the enhancement and improvement of the Surface Acoustic Wave (SAW) device performance. Due to increased demand in the international market for biosensor product, the product must be emphasized in terms of quality. However, within the technological advances, demand for device with low cost, high efficiency and friendly-user preferred. Surface Acoustic Wave (SAW) device with the combination of pair electrode know as Interdigital Transducer (IDT) was fabricated on a piezoelectric substrate. The design of Interdigital Transducer (IDT) parameter is changes in several sizes and values for which it is able to provide greater efficiency in sensing sensitivity by using process simulation with CST STUDIO Suite software. In addition, Interdigital Transducer (IDT) parameters also changed to be created the products with a smaller size and easy to handle where it also reduces the cost of this product. Parameter values of an Interdigital Transducer (IDT) will be changed in the design is the total n.
Tidal turbine performance in the offshore environment

A three dimensional computational model of a full scale axial flow tidal turbine has been used to investigate the effects of a range of realistic environmental conditions on turbine performance. The model, which is based on the Reynolds averaged Navier-Stokes equations, has been developed using the commercial flow solver ANSYS Fluent. A 1:30 scale tidal turbine is simulated in an open channel for comparison to existing experimental data. The rotor blades are directly resolved using a body-fitted, unstructured computational grid. Rotor motion is enabled through a sliding mesh interface between the rotor and the channel boundaries. Reasonably good agreement in thrust and power is observed. The computed performance curves are offset from the measured performance curves by a small increment in rotor speed. Subsequently, a full scale axial flow turbine is modelled in a variety of conditions representative of tidal channel flows. A parametric study is carried out to investigate the effects of flow shear, confinement and alignment on turbine performance, structural loading, and wake recovery. Mean power and thrust are found to be higher in sheared flow, relative to uniform flow of equivalent volumetric flow rate. Large fluctuations in blade thrust and torque occur in sheared flow as the blade passes through the high velocity freestream flow in the upper portion of the profile and the lower velocity flow near the channel bed. A stronger shear layer is formed around the upper portion of the wake in sheared flow, leading to enhanced wake mixing. Mean power and thrust are reduced when the turbine is simulated at a lower position in a sheared velocity profile. However, fluctuations in blade loading are increased due to the higher velocity gradient. The opposite effects are observed when the turbine operates at greater heights in sheared flow. Flow misalignment has a negative impact on mean rotor thrust and power, as well as on unsteady blade loading. Although the range of unsteady loading is not increased significantly, additional perturbations are introduced due to interactions between the blade and the nacelle. A deforming surface is introduced using the volume-of-fluid method. Linear wave theory is combined with the existing free surface model to develop an unsteady inflow boundary condition prescribing combined sheared flow and free surface waves. The relative
Cardiovascular Disease Prediction System Using Extra Trees Classifier

Heart Disease as cardiovascular disease is the leading cause of death for both men and women. It is the major cause of morbidity and mortality in present society. Therefore, researchers are working to help health care professionals in diagnosing process by using data mining techniques. Although the health care industry is richer in the database this data is not properly mined in order to discover hidden patterns and can able to make decisions based on these patterns. The major goal of this learning refers the extraction of hidden layers by applying numerous data mining techniques that probably give remarkable results in order to ensure the presence of cardiovascular disease among peoples. Data mining classification techniques are used to discover these patterns for research in medical industry. The dataset containing 13 attributes has analyzed for prediction system. The dataset contains some commonly used medical terms like blood pressure, cholesterol level, chest pain and 11 other attributes used to predict cardiovascular disease. The most common and effective classification techniques that are used in mining process are Verdict Tree commonly known as Decision Tree, Extra Trees Classifier, Random Forest, Support Vector Machine, Naive Bays and Logistic Regression has analyzed in this paper. Diagnosing and controlling ratio of deaths from cardiovascular disease Extra classifier trees consider is the best approach. We evaluate these prediction models by using evaluation parameters which are Accuracy, Precision, Recall, and F1-score. As per our experimental results shows accuracy of Extra trees classifier, Logistic Model tree classifier, support vector machine, and naive bays classifiers are 90%, 88%, 87%, 86% respectively. So as per our experiment analysis Extra Tree classifier with highest accuracy considered best approach for predication cardiovascular disease.
The application of black box models to combustion processes in the internal combustion engine

The internal combustion engine has been under considerable pressure during the last few years. The publics growing sensitivity for emissions and resource wastage have led to increasingly stringent legislation. Engine manufacturers need to invest significant monetary funds and engineering resources in order to meet the designated regulations. In recent years, reductions in emissions and fuel consumption could be achieved with advanced engine technologies such as exhaust gas recirculation (EGR), variable geometry turbines (VGT), variable valve trains (VVT), variable compression ratios (VCR) or extended aftertreatment systems such as diesel particulate filters (DPF) or NOx traps or selective catalytic reduction (SCR) implementations. These approaches are characterised by a highly non-linear behaviour with an increasing demand for close-loop control. In consequence, successful controller design becomes an important part of meeting legislation requirements and acceptable standards. At the same time, the close-loop control requires additional monitoring information and, especially in the field of combustion control, this is a challenging task. Existing sensors in heavy-duty diesel applications for incylinder pressure detection enable the feedback of combustion conditions. However, high maintenance costs and reliability issues currently cancel this method out for mass-production vehicles. Methods of in-cylinder condition reconstruction for real-time applications have been presented over the last few decades. The methodical restrictions of these approaches are proving problematic. Hence, this work presents a method utilising artificial neural networks for the prediction of combustion-related engine parameters. The application of networks for the prediction of parameters such as emission formations of NOx and Particulate Matters will be shown initially. This thesis shows the importance of correct training and validation data choice together with a comprehensive network input set. In addition, an application of an efficient and accurate plant model as a support tool for an engine fuel-path controller is presented together with an efficient test data generation method. From these findings, an artificial neural network structure is developed for the prediction of in-cylinder combustion conditions. In-cylinder pressure and temperature provide valuable information about the combustion efficiency and quality. This work presents a structure that can predict these parameters from other more simple measurable variables within the engine auxiliaries. The structure is tested on data generated from a GT-Power simulation model and with a Caterpillar C6.6 heavy-duty diesel engine.
Implementing augmented reality for visualisation of virtual buildings using Android

The mobile phone devices are still developing and they are gaining more functionality and are able to deal with more advanced tasks. One of the technologies timidly trying to approach the mobile phone market is the augmented reality, which does no longer require external equipment to be formed in a programming application. There is a limited number of sources trying to describe the accuracy of augmented reality applications implemented on mobile devices. Within this study an application of augmented reality visualising virtual models of buildings was implemented on a mobile phone device in order to evaluate the rate of the device explication. Several tests were conducted to evaluate the application total accuracy. The implemented application was visualising virtual models of the real existing buildings displaying them in the same place the original buildings were. The final position was calculated by the application and the discrepancy of the view between the model and the real building was measured. The results were gathered revealing the application’s real accuracy. For the purposes of this study the functional application of augmented reality has been created. The application was implemented on the mobile phone. The results of the application formed the tables with final measurements of accuracy. Also several photographs were taken from the areas of the real existing buildings. Transferring the functionality of augmented reality from the external devices to mobile phones is possible with some harm to the application accuracy. Visualising building models is one of the possible extensions of the mobile phone market. The improvements in Global Positioning System would significantly improve the application´s general accuracy.
Material and Thickness Grading for Aeroelastic Tailoring of the Common Research Model Wing Box

This work quantifies the potential aeroelastic benefits of tailoring a full-scale wing box structure using tailored thickness distributions, material distributions, or both simultaneously. These tailoring schemes are considered for the wing skins, the spars, and the ribs. Material grading utilizes a spatially-continuous blend of two metals: Al and Al+SiC. Thicknesses and material fraction variables are specified at the 4 corners of the wing box, and a bilinear interpolation is used to compute these parameters for the interior of the planform. Pareto fronts detailing the conflict between static aeroelastic stresses and dynamic flutter boundaries are computed with a genetic algorithm. In some cases, a true material grading is found to be superior to a single-material structure.
Méthodologie de dimensionnement d’un véhicule hybride électrique sous contrainte de minimisation des émissions de CO2

Ce travail de these propose une methodologie systematique d’evaluation et de comparaison des gains en emissions de CO2 de vehicules hybrides electriques de differentes architectures et integrant differentes fonctionnalites. Une methodologie de dimensionnement a ete mise en place, elle se base sur la definition d’un cahier des charges en performances dynamiques des vehicules, la mise en place d’algorithmes de mise a l’echelle afin de generer les donnees des composants de la chaine de traction (batterie, machine electrique, moteur thermique), et l’utilisation de procedures de dimensionnement du vehicule sous contrainte de minimisation des emissions de CO2. L’evaluation energetique des differentes configurations de vehicule ainsi dimensionnees s’articule autour de la definition de differents usages du vehicule et sur l’implementation d’une loi de gestion optimale de l’energie de type Principe du Minimum de Pontriaguine. Ces methodologies ont ete appliquees a une architecture conventionnelle, servant de reference pour les performances dynamiques et les consommations energetiques, et d’une architecture hybride parallele pre-transmission, pour laquelle une configuration hybride rechargeable et une configuration hybride non rechargeable ont ete implementees.
Measurement of range of motion of human finger joints, using a computer vision system

Assessment of finger range of motion (ROM) is often required for monitoring the effectiveness of rehabilitative treatments and for evaluating patients' functional impairment. There are several devices which are used to measure this motion, such as wire tracing, tracing onto paper and mechanical and electronic goniometry. These devices are quite cheap, excluding electronic goniometry; however the drawbacks of these devices are their lack of accuracy and the time- consuming nature of the measurement process. The work described in this thesis considers the design, implementation and validation of a new medical measurement system utilized in the evaluation of the range of motion of the human finger joints instead of the current measurement tools. The proposed system is a non-contact measurement device based on computer vision technology and has many advantages over the existing measurement devices. In terms of accuracy, better results are achieved by this system, it can be operated by semi-skilled person, and is time saving for the evaluator. The computer vision system in this study consists of CCD cameras to capture the images, a frame-grabber to change the analogue signal from the cameras to digital signals which can be manipulated by a computer, Ultra Violet light (UV) to illuminate the measurement space, software to process the images and perform the required computation, a darkened enclosure to accommodate the cameras and UV light and to shield the working area from any undesirable ambient light. Two calibration techniques were used to calibrate the cameras, Direct Linear Transformation and Tsai. A calibration piece that suits this application was designed and manufactured. A steel hand model was used to measure the fingers joint angles. The average error from measuring the finger angles using this system was around 1 degree compared with 5 degrees for the existing used techniques.
Analysis of the Injection of a Heated, Turbulent Jet into a Moving Mainstream, with Emphasis on a Thermal Discharge in a Waterway. Ph.D. Thesis - Virginia Polytechnic Inst. and State Univ., Blacksburg

An experimental and theoretical investigation was undertaken to study the trajectory and growth of thermal effluents having a range of discharge velocities and temperatures. The discharge of a turbulent effluent into a waterway was mathematically modeled as a submerged jet injection process by using an integral method which accounts for natural fluid mechanisms such as turbulence, entrainment, buoyancy, and heat transfer. The analytical results are supported by experimental data and demonstrate the usefulness of the theory for estimating the location and size of the effluent with respect to the discharge point. The capability of predicting jet flow properties, as well as two- and three-dimensional jet paths, was enhanced by obtaining the jet cross-sectional area during the solution of the conservation equations. Realistic estimates of temperature in the effluent were acquired by accounting for heat losses in the jet flow due to forced convection and to entrainment of free-stream fluid into the jet.
Sex Differences in Dietary Copper-Fructose Interaction-Induced Alterations of Gut Microbial Activity are Not Correlated to Hepatic Steatosis

Background: Inadequate copper intake and increased fructose consumption represent two important nutritional problems in the US. Diet copper-fructose interactions alter gut microbial activity and contribute to the development of nonalcoholic fatty liver disease (NAFLD). The aim of this study is to determine whether dietary copper-fructose interactions alter gut microbial activity in a sex-differential manner, and whether sex differences in gut microbial activity are associated with sex differences in hepatic steatosis. Methods: Male and female weanling Sprague-Dawley (SD) rats were fed ad libitum with an AIN-93G purified rodent diet with defined copper content for 8 weeks. The copper content is 6mg/kg and 1.5mg/kg in adequate copper diet (CuA) and marginal copper diet (CuM), respectively. Animals had free access to either deionized water or deionized water containing 10% fructose (F) (w/v) as the only drink during the experiment. Body weight, calorie intake, plasma ALT, AST and liver histology were evaluated. Fecal microbial contents were analyzed by 16S rRNA sequencing. Fecal and cecal short chain fatty acids (SCFAs) were determined by gas chromatography-mass spectrometry (GC-MS). Results: Male and female rats exhibit similar trends of changes in the body weight, body weight gain and calorie intake in response to dietary copper and fructose, with a generally higher level in male rats. Several female rats in CuAF group developed mild steatosis, while no obvious steatosis was observed in male rats fed with CuAF or CuMF. Fecal 16S rRNA sequencing analysis revealed distinct alterations of the gut microbiome in male and female rats. Linear discriminant analysis (LDA) effect size (LEfSe) identified sex-specific abundant taxa in different groups. Further, total SCFAs, as well as, butyrate were decreased in a more pronounced manner in female CuMF rats than in male rats. Of note, the decreased SCFAs are concomitant with the reduced SCFA producers, but not correlated to hepatic steatosis. Conclusions: Our data demonstrated sex differences in the alterations of gut microbial activities and hepatic steatosis in response to dietary copper-fructose interaction in rats. Tissue-specific responses to dietary copper and fructose likely contribute to the sex differences in gut microbial activity and metabolic phenotype.
Evaluation of the City of Scottsdale Loop 101 Photo Enforcement Demonstration Program

Speeding is recognized as one of the most important factors causing traffic crashes. In 2005, 30% of all fatal crashes were speeding-related. According to the National Highway Traffic Safety Administration, the cost of speed-related crashes is estimated to be $40.4 billion per year. Intelligent Transportation Systems (ITS) now exist to reduce speeding-related crashes by enforcing speed limits with camera-based technologies. These enforcement technologies are generically called “speed cameras” and have been effective on municipal streets and arterials in Arizona. This report presents the comprehensive analysis results of the speed enforcement camera demonstration program that was implemented on Loop 101from January 2006 to October 2006. This study estimated the impacts of the speed enforcement program (SEP) on traffic safety, speed, speeding behavior, and travel time.
THE TIME EFFECT OF SUSPENSION ON THE BEHAVIOUR OF PIERS

COMPARATIVE LOAD TESTS WERE CARRIED OUT ON TWO PIERS OF RECTANGULAR CROSS SECTION 0.4 X 2.2 M CONSTRUCTED IN DANUBE GRAVEL-SAND TO A DEPTH OF 6 M BY MEANS OF THE SLURRY TRENCH TECHNIQUE. IN THE CONSTRUCTION OF EACH PIER THE SAME METHOD AND MATERIALS WERE USED WITH THE EXCEPTION OF THE TIME OF EFFECTIVENESS OF THE SUSPENSION. THE AVERAGE TIME OF EFFECTIVENESS OF THE SUSPENSION ON THE FOUNDATION SOIL WAS EIGHT HOURS IN THE CASE OF PIER P1 AND NINETY SEVEN HOURS (4 DAYS) IN THE CASE OF PIER P2. EQUIPPING OF THE PIERS WITH STRAIN GAUGES FOR MEASURING LATERAL MOVEMENTS MADE IT POSSIBLE TO CONFIRM THE VITAL INFLUENCE OF THE TIME OF EFFECTIVENESS OF THE SUSPENSION BOTH ON THE SKIN FRICTION AND ALSO ON THE END REACTION. THE COVERING ABSTRACT FOR THE CONFERENCE IS IRRD NO 306088.
A Summary of the Space Shuttle Columbia Tragedy and the Use of LS Dyna in the Accident Investigation and Return to Flight Efforts

On February 1, 2003, the Space Shuttle Columbia broke apart during reentry resulting in loss of 7 crewmembers and craft. For the next several months an extensive investigation of the accident ensued involving a nationwide team of experts from NASA, industry, and academia, spanning dozens of technical disciplines. The Columbia Accident Investigation Board (CAIB), a group of experts assembled to conduct an investigation independent of NASA concluded in August, 2003 that the cause of the loss of Columbia and its crew was a breach in the left wing leading edge Reinforced Carbon-Carbon (RCC) thermal protection system initiated by the impact of thermal insulating foam that had separated from the orbiters external fuel tank 81 seconds into the missions launch. During reentry, this breach allowed superheated air to penetrate behind the leading edge and erode the aluminum structure of left wing which ultimately led to the breakup of the orbiter. In order to gain a better understanding the foam impact on the orbiters RCC wing leading edge, a multi-center team of NASA and Boeing impact experts was formed to characterize the foam and RCC materials for impact analysis using LS Dyna. Dyna predictions were validated with sub-component and full scale tests. LS Dyna proved to be a valuable asset in supporting both the Columbia Accident Investigation and NASA s return to flight efforts. This paper summarizes Columbia Accident and the nearly seven month long investigation that followed. The use of LS-DYNA in this effort is highlighted. Contributions to the investigation and return to flight efforts of the multicenter team consisting of members from NASA Glenn, NASA Langley, and Boeing Philadelphia are introduced and covered in detail in papers to follow in these proceedings.
Wireshark

One’s understanding of network protocols can often be greatly deepened by “seeing protocols in action” and by “playing around with protocols” – observing the sequence of messages exchanged between two protocol entities, delving down into the details of protocol operation, and causing protocols to perform certain actions and then observing these actions and their consequences. This can be done in simulated scenarios or in a “real” network environment such as the Internet. In the Wireshark labs you’ll be doing in this course, you’ll be running various network applications in different scenarios using your own computer. You’ll observe the network protocols in your computer “in action,” interacting and exchanging messages with protocol entities executing elsewhere in the Internet. Thus, you and your computer will be an integral part of these “live” labs. You’ll observe, and you’ll learn, by doing.