Miracle-dz/UniFAR-FTUs huggingface dataset:
Solar-powered unmanned aerial vehicles

An analysis was performed to determine the impact of various power system components and mission requirements on the size of solar-powered high altitude long endurance (HALE)-type aircraft. The HALE unmanned aerial vehicle (UAV) has good potential for use in many military and civil applications. The primary power system components considered in this study were photovoltaic (PV) modules for power generation and regenerative fuel cells for energy storage. The impact of relevant component performance on UAV size and capability were considered; including PV module efficiency and mass, power electronics efficiency, and fuel cell specific energy. Mission parameters such as time of year, flight altitude, flight latitude and payload mass and power were also varied to determine impact on UAV size. The aircraft analysis method used determines the required aircraft wing aspect ratio, wing area and total mass based on maximum endurance or minimum required power calculations. The results indicate that the capacity of the energy storage system employed, fuel cells in this analysis, greatly impacts aircraft size, whereas the impact of PV module efficiency and mass is much less important. It was concluded that an energy storage specific energy (total system) of 250-500 Whr/kg is required to enable most useful missions, and that PV cells with efficiencies greater than /spl sim/12% are suitable for use.
Toward a Unified Design Approach for Both Compliant Mechanisms and Rigid-Body Mechanisms: Module Optimization

Rigid-body mechanisms (RBMs) and compliant mechanisms (CMs) are traditionally treated in significantly different ways. In this paper, we present a synthesis approach that is appropriate for both RBMs and CMs. In this approach, RBMs and CMs are generalized into modularized mechanisms that consist of five basic modules, including compliant links (CLs), rigid links (RLs), pin joints (PJs), compliant joints (CJs), and rigid joints (RJs). The link modules and joint modules are modeled through beam elements and hinge elements, respectively, in a geometrically nonlinear finite-element solver, and subsequently a beam-hinge ground structure model is proposed. Based on this new model, a link and joint determination approach—module optimization—is developed for the type and dimensional synthesis of both RBMs and CMs. In the module optimization approach, the states (both presence or absence and sizes) of joints and links are all design variables, and one may obtain an RBM, a partially CM, or a fully CM for a given mechanical task. Three design examples of path generators are used to demonstrate the effectiveness of the proposed approach to the type and dimensional synthesis of RBMs and CMs.
Buckling-Induced Retraction of Structured Spherical Shell under Pressure

This paper investigates the reversible retraction of a spherical perforated shell that is made from nonlinear soft material. The buckling and post-buckling simulation in Abaqus shows the skeleton ligaments of such a buckliball rotate in the beginning and buckle thereafter, resulting in the shrinkage and encapsulation of the whole structure in the final stage. We used dynamic-explicit method in the simulation and its superiority over others is verified by obtaining correct buckling patterns efficiently and stably.
SEMG Analysis Basing on AR Model and Bayes Taxonomy

This paper introduced a pattern recognition method based on auto-regression (AR) model and bayes taxonomy. The proposed methodology consists of three steps. In the first step, the paper designs a circuit to collect surface electromyography (SEMG) signal. In the second step, Auto-regressive (AR) modeling in time series has been applied on people’s forearm muscle. So, EMG signal is preprocessed using AR-Model to extract features from MES. After calculated the coefficients of and AR model, we distill the AR coefficients as its eigenvector. In the third step, a bayes statistics algorithm is designed to classify the muscle movement of forearm. This paper finds this method has many advantages such as reducing error recognition rate and has a relative good result. It proves that there are some relations between motion pattern and AR coefficients. At the same time, this paper adopts virtual instrument technology to raise accuracy of measurement, reduce the cost and workload.
The impact of merger announcements on stock prices : The rejection of the merger paradox for German companies

Can we detect the merger paradox in the year 1908 in Germany? An event-study method that uses daily returns in contrast to former historical research gives answers. The merger paradox is not confirmed by our data, and the adaptation process of stock prices according to newly available information is finished in a few days around the event. In addition, we use cumulated abnormal returns as dependent variable to detect what affects returns. Controlling for direct and indirect impacts, we construct a simultaneous equation system. We uncover that banks exhibit remarkable positive abnormal returns in comparison to other lines of business.
Flow and pressure measurement using phase-contrast MRI : experiments in stenotic phantom models.

FLOW AND PRESSURE MEASUREMENT USING PHASECONTRAST MRI: EXPERIMENTS IN STENOTIC PHANTOM MODELS Iman Khodarahmi May 29, 2012 Peripheral Arterial Disease (PAD) is a progressive atherosclerotic disorder which is defined as any pathologic process obstructing the blood flow of the arteries supplying the lower extremities. Moderate stenoses mayor may not be hemodynamically significant, and intravascular pressure measurements have been recommended to evaluate whether these lesions are clinically significant. Phase-contrast MRI (PC-MRI) provides a powerful and non-invasive method to acquire spatially registered blood velocity. The velocity field, then, can be used to derive other clinically useful hemodynamic parameters, such as blood flow and blood pressure gradients. Herein, a series of detailed experiments are reported for the validation of MR measurements of steady and pulsatile flows with stereoscopic particle image velocimetry (SPIV).
Sensorless speed and position control of synchronous machines using alternating carrier injection

High frequency carrier injection is a promising approach solving high performance sensorless drive demands. Position control at low and zero speed is only possible using anisotropic effects considered in high-frequency models. The usually open loop carrier signal injection is impacted by nonlinear inverter properties like the dead-time effect. This paper discusses the influence of the dead time effect on the carrier signal excitation comparing alternating and revolving injection principles. To overcome disturbing effects an alternating injection procedure is proposed using a predefined injection angle. The approach reduces the effects of the inverter distortion voltages. As a result it is possible to track even small saliencies typical for surface mounted permanent magnet synchronous machines. For processing the high frequency current for position estimation, there is no additional hardware necessary within a standard drives with field oriented control. The paper presents theoretical analysis and experimental results.
FRUGAL INNOVATION CORE COMPETENCIES TO ADDRESS GLOBAL SUSTAINABILITY

The call for global sustainability is echoed by societal, environmental, and economic needs across the globe. In answering this call, a design innovation process that properly considers the needs and context of citizens in the developing world is necessary in order to develop appropriate, adaptable, affordable, and accessible solutions, products and services. This process, called “Frugal Innovation,” is rapidly becoming a standard against which sustainable solutions are assessed. Through an exploration of Frugal Innovation Core Competencies (Frugal Innovation Lab, Santa Clara University), and corresponding case studies of field solutions, a model is presented to begin sustainably addressing global human needs.
Topology for multilevel inverters to attain maximum number of levels from given DC sources

This study introduces a new multilevel converter topology, which can synthesise all possible additive and subtractive combinations of input DC levels in the output voltage waveform with fewer power electronic switches. An appropriate modulation scheme has also been proposed for low switching frequency operation of the proposed topology. As compared with the classic multilevel topologies, the proposed topology results in reduction of the number of switches and conduction losses. The operation and performance of the proposed multilevel converter has been ascertained through simulations and verified experimentally for single-phase nine-level multilevel inverter. Moreover, a 15-level inverter with asymmetric source configuration has been also investigated for charge balance control using the proposed modulation scheme. The same has been verified experimentally for effective balanced power delivery.
A Prototype BIM Server based viewer for Cloud Computing BIM Services

Recently BIM technology has been expanded for using in construction project. However its spread has been delayed than the initial expectations, due to the high-cost of BIM infrastructure development, the lack of regulations, the lack of process and so forth. Therefore, this research proposes the cloud computing based BIM service for saving the cost of BIM infrastructure development and providing various BIM Services to meet the domestic process. In order to achieve this, we perform a survey on the cloud computing based BIM service and develope the prototype system as the core technology of proposed service. The developed the prototype system consists of the IFC based BIM server for IaaS (Infrastructure as a Service) and the viewer for SaaS (Software as a Service). This research also conducts the performance test for their applicability and verifies that the results of this research can be used as core components in the cloud computing based BIM service
Reactive power compensation and stability analysis of fixed speed wind generators using STATCOM integrated with energy storage devices

In this paper, the interaction of the wind farm, energy storage, reactive power compensation and the power system network is analysed. This article discusses the performance of a STATCOM/superconducting magnetic energy storage topology to provide both the active and reactive power, which can significantly decrease the voltage and power fluctuations of grid-connected fixed speed wind generators. One major problem in wind generator output power smoothing is the setting of the reference output power. A simple moving average technique is used to generate the reference output power which corresponds to the energy storage capacity and thus the energy capacity of an energy storage system unit can be small. Moreover, a simulation model has been tested in MATLAB, and the simulation results are compared.
Integrating net-zero energy and high-performance green building technologies into contemporary housing in a cold climate /

The objectives of this research project are (1) to show how the sustainable resources of forest biomass, solar energy, harvested rainwater, and small-diameter logs can be integrated to a system that provides most or all of the energy and water needs of a typical cold climate residential household, and (2) to effectively interpret the results and convey the sustainable potential to the public. This project validates that (1) the combination of the BioMax® wood-pellet energy system (5 kW peak) with grid interconnected solar energy via photovoltaics (4 kW) can provide the majority of the power needs for a residential unit in a cold climate; (2) rainwater can be stored in a 2,500-gallon cistern and reliably filtered and disinfected for potable use; (3) systems to product and save energy and water are safe and reliable; and (4) these technologies are available and work well in cold climates similar to the project’s location in Madison, Wisconsin, USA.
A Methodology on the Automatic Recognition of Poor Lane Keeping

Poor driving behaviors, such as having difficulty staying in a lane, abrupt lane changes, or driving on the shoulder are typical consequences of many dangerous driving circumstances, and can be grouped under the heading of lateral discipline of driving. Recognition of these situations is largely observational and seen and examined by police at high costs. This paper provides a theoretical description of an automatic detection system to recognize irregular lateral vehicle movements resulting from various forms of dangerous driving. It is based on establishing certain threshold values for normal driving (lateral) patterns and by checking given traffic instances against these criteria. The system described is thought to offer substantial time and money savings to the responsible authorities, after having applied and validated the system in practice as part of ongoing research.
X-band RF MEMS tuned combline filter

A three-pole combline filter tuning from 8.2 to 11.3 GHz using RF MEMS switched capacitors is reported. This structure, measuring 2.85×2.15 mm2, allows 31% tuning with 11% 3 dB bandwidth for the four tuning states and insertion losses ranging from 4.4 to 6 dB.
Markov Process in Varying Value in Production by Machinery with Two Components

In this paper production and availability of machinery for production are considered. Here a machinery of production with two components is considered and that production is full when the machinery is working with both the components functioning well. But there is a chance that the whole machinery may dysfunction because of failure of both components in which case the production comes to a standstill and it is worst crisis. The other possibility is that one of the components may fail but still the machine continues functioning but with less efficiency. The production may continue and if the other component also fails the production completely stops and the situation is critical. When the machine is in one component failure, the failed part may be a repaired and machine can be made to work with full efficiency. But when both components fail, should be renewed as a package and then the production should start. Under such conditions found the steady state probabilities and the rate of crisis and the expected cost of production.
Assemblage de fibres par tissage : analyse et simulation du comportement mécanique

Le comportement mecanique des renforts tisses utilises dans les composites est fortement influence par l'assemblage par tissage des meches chaine et trame. La rigidite principale du tisse est celle de tension. Le comportement en tension est non-lineaire compte tenu des liaisons entre les deux reseaux qui conduisent a des non-linearites geometriques locales. Ce comportement en tension est analyse dans le present travail par des essais de traction biaxiale et des simulations 3D de la maille elementaire. La rigidite de cisaillement dans le plan des renforts tisses est faible jusqu'a un angle limite. On montre par des mesures optiques que ceci correspond a une phase de rotation de corps rigide de chaque meche. Une deuxieme phase correspondant a un blocage et un ecrasement lateral des meches conduit a des rigidites beaucoup plus fortes. On presente deux formes simplifiees de l'equation de la dynamique ne prenant en compte que les travaux virtuels de tension d'une part et de tension cisaillement d'autre part. On montre sur un exemple de simulation d'emboutissage d'un renfort tisse que la prise en compte du cisaillement est importante si l'on depasse un angle limite.
Torsional Vibration Analysis of Multiple Driving Mode Hybrid Bus Drivetrain

Several hybrid electric driveline topologies have been introduced for vehicles in order to reduce emissions and improve energy efficiency in the transportation sector. This study introduces a novel configuration for a hybrid electric bus driveline. The designed driveline is capable of operating in pure electric, series and parallel hybrid modes. The torsional vibration analysis of the proposed drivetrain is performed for different driving mode configurations. The finite element method is applied to solve the torsional natural frequencies and mode shapes of the driveline. The model contains mass-elastic data of drive shafts, a diesel engine, a permanent magnet generator and a traction motor, as well as clutches and couplings. Different modelling strategies are discussed, and a sensitivity analysis is performed in order to determine the effect of different modelling parameters on the system’s torsional frequencies and mode shapes. Different excitation frequencies arising from the diesel engine and electric drives are identified and compared to the natural frequencies.Copyright © 2014 by ASME
An Optimized Hybrid Neural Network Model for Detecting Depression among Twitter Users

The proposed work is to extensively evaluate if a user is depressed or not using his Tweets on Twitter. With the omni presence of social media, this method should help in identifying the depression of users. We propose an Optimized Hybrid Neural Network model to evaluate the user tweets on Twitter to analyze if a user is depressed or not. Where Neural Network is trained using Tweets to predict the polarity of Tweets. The Neural Network is trained in such a way that at any point when presented with a Tweet the model outputs the polarity associated with the Tweet. Also, a user-friendly GUI is presented to the user that loads the trained neural network in no time and can be used to analyze the users’ state of depression. The aim of this research work is to provide an algorithm to evaluate users’ sentiment on Twitter in a way better than all other existing techniques
Robot mother ship design

Small physical agents will be ubiquitous on the battlefield of the 21st century, principally to lower the exposure to harm of our ground forces. Teams of small collaborating physical agents conducting tasks such as Reconnaissance, Surveillance, and Target Acquisition (RSTA); chemical and biological agent detection, logistics, sentry; and communications relay will have advanced sensor and mobility characteristics. The mother ship much effectively deliver/retrieve, service, and control these robots as well as fuse the information gathered by these highly mobile robot teams. The mother ship concept presented in this paper includes the case where the mother ship is itself a robot or a manned system. The mother ship must have long-range mobility to deploy the small, highly maneuverable agents that will operate in urban environments and more localized areas, and act as a logistics base for the robot teams. The mother ship must also establish a robust communications network between the agents and is an up-link point for disseminating the intelligence gathered by the smaller agents; and, because of its global knowledge, provides the high-level information fusion, control and planning for the collaborative physical agents. Additionally, the mother ship incorporates battlefield visualization, information fusion, and multi-resolution analysis, and intelligent software agent technology, to support mission planning and execution. This paper discusses on going research at the U.S. Army Research Laboratory that supports the development of a robot mother ship. This research includes docking, battlefield visualization, intelligent software agents, adaptive communications, information fusion, and multi- modal human computer interaction.
Development of advanced biomaterials for bone tissue engineering

Goal of the present study was to develop and to characterize in-situ hardening, porous PLGA based systems for their future application as bone grafting materials. Therefore, we investigated the precipitation behavior of formulations containing PLGA and a water-miscible solvent, DMSO, PEG 400, and NMP. To increase porosity, a pore forming agent (NaCMC) was added and to enhance mechanical properties of the system an inorganic filler (α-TCP) was incorporated. The behavior upon contact with water and the influence of the prior addition of aqueous media on the morphology of the corresponding hardened implants were investigated. We proved cell compatibility by live/dead assays for the hardened porous polymer/ceramic-composite scaffolds. The IsHS formulations can therefore be used to manufacture hardened scaffolds ex vivo by using molds with the desired shape and size. Cells were further successfully incorporated into the IsHS by precultivating the cells on the α-TCP-powder prior to their admixing to the formulation. However, cell viability could not be maintained due to toxicity of the tested solvents. But the results demonstrate that in vivo cells should well penetrate, adhere, and profilerate in the hardened scaffolds. Consequently, we consider the in-situ hardening system being an excellent candidate as a filling material for non weight-bearing orthopedic indications, as the resulting properties of the hardened implant fulfill indicationspecific needs like mechanical stability, elasticity, and porosity. 16 Porosity and mechanically optimized PLGA based In-Situ Hardening Systems
Study on the Activation Plan for Utilization of Agri-food by-products as Raw Materials for TMR

Hansin LawfirmABSTRACTThis study was conducted to survey and analyze the quantity of various organic wastes and to vitalize the utilization of agri-food by-products as raw materials for Total mixed ration(TMR), to improve feed cost savings and the quality of animal products. On-the-spot obstacles for animal farmers, along with legal and institutional alternatives are presented. The results are as follows. First, organic wastes in Korea are managed by the Allbaro system created in the Wastes Control Act, which processes 10,488 tons of cooking oil waste, 832,493 tons of animal and plant residues, 5,740 tons of animal carcasses, 1,171,892 tons of animal residues, and 2,172,415 tons of plant residues including 12,905 tons of rice hull and bran, for a total of 4,205,931 tons. Raw materials for TMR, namely rice hulls and bran as well as plant residues, accounted for 51.7% of the total national organic waste. The top 10 municipalities process 76~100% of all organic wastes and a supply management system is needed for the waste. Second, the 10 major agri-food by-products used as raw materials for TMR are bean curd by-product, rice bran, oil-cake, brewers dried grain, Distiller’s Dried Grains with Solubles(DDGS), barley bran, soy sauce by-product, citrus fruit by-product, mushroom by-product and other food by-product(bread, noodles, snacks, etc.). Third, the biggest difficulties in using agri-food by-products are legal obstacles. Because agri-food by-products are regulated as industrial wastes by the Waste Control Act, animal farmers that wish to use them have legal reporting obligations including the installation of recycling facilities. To enable the use of agri-food by-products as raw materials for TMR, waste management system improvements such as ‘the end of waste status’ and the establishment of more than 10 public distribution centers nationwide are deemed essential. (Key words :Agri-food by-product, TMR, Plant residue)
OVERVIEW OF ARCHITECTURE FRAMEWORKS AND MODELING LANGUAGES FOR MODEL-BASED SYSTEMS ENGINEERING

Model-based systems engineering is a relatively new discipline. As a result, many system designers are not familiar with the main concepts of model-based systems engineering and how it can beneficially impact systems design. The paper presents an overview of architecture frameworks and modeling languages for model-based systems engineering as well as indicates future trends.Copyright © 2011 by ASME