Miracle-dz/UniFAR-FTUs huggingface dataset:
Minimising output power fluctuation of large photovoltaic plant using Vanadium Redox Battery storage

The large-scale photovoltaic (PV) installations have experienced an unprecedented growth in the past decade, mainly due to renewable deployment targets, government incentives and advancement of the PV technologies. This growth brings new technical challenges to the electricity grid. For instance, the inherent intermittency of PV power has given rise to a number of approaches to compensate for the variability of its output. A possible solution could be the integration of battery energy storage with the PV plant. The Vanadium Redox Battery (VRB) is one of the batteries having the potential to increase the supply reliability of large-scale PV plants. This paper proposes the grid integration of a 1MW PV system using a 250kW/250kWh VRB energy storage. The VRB was designed to smooth the fluctuating PV power, thus being able to deliver constant power to the electricity grid within a five minutes time frame. An equivalent electrical model of the PV system is developed in MATLAB/Simulink/PLECS environment to analyse the operational performance of the proposed system and to discuss the elements affecting the VRB efficiency. (5 pages)
Implementation and Validation of TAXI-CPDLC Functionality within the EU Project EMMA2

The first part of this paper describes how one of the higher services of A-SMGCS, the Controller Pilot Data Link Communication (CPDLC) Ground Clearances Function (TAXI-CPDLC), was implemented at two ground sites (Prague Ruzyne and Milano Malpensa) and the airborne site. It describes the basic principles and approach for the message definition and both the software and the hardware implementation into the real time simulations and on-site trials. The second part will focus on the results of the validation study that was conducted with eight commercial airline pilots at DLR's Generic Experimental Cockpit. It was demonstrated that requirements from the operational concept were mostly fulfilled. Furthermore, effects on situational awareness and workload were tested.
Large Scale Adult Image Filter

In the environment of a modern web picture search engine, enormous amounts of data are being accumulated and indexed. Any manipulation on such amounts of data are bound to be highly efficient to be scalable. Especially when it comes to the rather computational field of image processing. The problem this thesis work have addressed is more specifically; to with a high degree of confidence filter out and separate explicit adult picture material from such a search engine's index. The work described by this thesis report is two sided. Firstly previous research in the topic have been reproduced in a base line system. By feeding a support vector machine a number statistical measures recorded from each image, a practical level of classification confidence is reached. Secondly a set of new image analysis functionality is evaluated and argued aid the classification rates even further. The proposed system is therefor claimed to show results on par with the state of the art adult image classifiers. Sammanfattning I en modern webbildsokmotor insamlas och indexeras enorma mangder data. All slags manipulation av sadana mangder data ar bunden att vara hogeffektiv for att kunna skala upp. An mer da det tas i beaktning att bildmanipulation ar ett relativt berakningskravande omrade. Det problem som denna rapport adresserat ar mer specifikt; att med hog traffsakerhet filtrera bort stotande pornografiskt material fran en sadan sokmotors index. Arbetet presenterat i denna rapport ar tvasidigt. For det forsta har tidigare forskning aterskapats i ett bassystem. Genom att mata en stodvektormaskin med statistiska matt dragna ur enskilda bilder har en praktiskt anvandbar niva av korrekt klassifikation natts. For det andra har ny bildanalysfunktionalitet evaluerats och framledes forordats ytterligare forbattra klassifikationsnivan. Det foreslagna systemet gor saaledes ansprak pa att visa resultat i linje med de basta klassificerarna av pornografiska bilder.
Economic Value of Visitation to Free-Flowing and Impounded Portions of the Ocklawaha River in Florida: Implications for Management of River Flow

: The debate to restore the natural ﬂow of Florida’s Ocklawaha River or keep the impoundment (reservoir) has been ongoing since the construction of a dam as part of an abandoned cross Florida barge canal project in 1968. This study contributes to economic studies assessing trade-oﬀs of dam removal by estimating the economic beneﬁts and regional economic contribution of recreation at the reservoir and the upstream free-ﬂowing river. We ﬁnd that the river-based recreation generates greater beneﬁts and contributions than the reservoir. The trade-oﬀ between restoring the river ecosystem and loss in economic value for reservoir-related recreation can potentially be mitigated. Policy implications of the ﬁndings are discussed.
7 – The boundary-element method applied to micro-acoustic devices: zooming into the near field

Abstract: The effects of the near fields in micro-acoustic devices are pervasive and ubiquitous – they need to be understood profoundly, accounted for systematically and modelled accurately. This chapter summarizes the state-of- the-art methodologies for describing near-field phenomena by considering the simplest possible acoustic field; i.e., shear horizontally polarized waves. By referring to the cited works at the end of the chapter, and with some additional effort, the reader should be able to apply the presented theory to vector and more involved types of waves.
Biomechanical Profiles of Olympic Weightlifters

The heaviest successful snatch and clean and jerk for five Gold medalists in weight-lifting at the 1984 Olympic Games were analyzed from 16mm film. Bar trajectories all showed that as the barbell was lifted from the platform it moved toward the athlete during the first pull, then away from the athlete and finally toward him again as it began to descend during the catch phase. Bar velocity profiles showed that most lifters decelerated the barbell at the end of the first pull while reorienting their body position for the second pull. Calculated power outputs were large in magnitude and showed considerable similarities for selected phases of the lifts of a given athlete. Power output values for complete snatch and clean pulls typically ranged between 28 and 35 W/Kg of body mass. Higher values were found for subphases of the pulls and for the jerk thrusts. Previously published data on one of the Gold medalists permitted longitudinal comparisons of his lifting technique. High power output capacity was the most.
Control of turbulent flow over an articulating turret for reduction of adverse aero-optic effects

Turbulent flows such as wakes and shear layers are highly detrimental to the intensity of any collimated light beams that pass through these regions. The work presented in this thesis utilized suction flow control to help mitigate the adverse affects of the wake and shear layer over a flat aperture on the hemisphere of a three dimensional turret. The hemisphere of the turret was capable of dynamically articulating in two degrees of freedom: pitch and azimuthal rotation. The experiments were performed in the Syracuse University wind tunnel at a Mach number of 0.1, giving a Reynolds number of 500,000. Steady suction at various amounts were initially implemented for both static and dynamic pitching cases. Abatement of the wake above the aperture of the turret was seen for open loop suction actuation in both cases, demonstrating that for our conditions the suction system has enough control authority to reduce the turbulence levels. Building upon this success, a simple proportional closed loop controller was constructed to improve the efficiency of the actuation system by reducing the amount of suction required to achieve the same level of turbulence abatement as with the open loop control. The overall objective of the controller was to drive the velocity fluctuations over the aperture of the turret to zero. The next set of experiments fixed the pitch angle and dynamically rotated the hemisphere in the azimuthal direction. Like the pitch tests, steady suction actuation applied over the top of the turret was able to diminish the size of the wake. A multiple-input-multiple output closed loop controller was then employed with the objective of reducing the velocity fluctuations over the aperture of the turret. By dividing the actuation into two separate zones, the MIMO controller was able to more efficiently decrease the turbulent levels over the aperture when compared to the open loop case. Additional suction control tests were performed over a stationary turret in the Air Force Research Laboratory wind tunnel at Wright-Patterson Air Force Base. Direct measurements of the aero-optic effects were taken via a Malley probe at a fixed pitch angle with and without suction control at a Mach number 0.3, and a corresponding Reynolds number of 2,000,000. Reduction of the aero-optic effects in this test demonstrated that suction control is a practical control input to reduce the near field wavefront abberations due to the turbulent flow over the aperture. Control of turbulent flow over an articulating turret for reduction of adverse aero-optic effects By Ryan Wallace B.S. University of California, Irvine, 2005 M.S. Syracuse University, 2007 SUBMITTED IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF DOCTOR OF PHILOSOPHY AT SYRACUSE UNIVERSITY SYRACUSE, NEW YORK, U.S.A.
FIELD-BASED USABILITY STUDY OF PHYSICAL ACTIVITY MONITORING AND SHARING SYSTEM FOR MANUAL WHEELCHAIR USERS WITH SPINAL CORD INJURY

Manual wheelchair users (MWUs) with spinal cord injury (SCI) have significantly lower levels of physical activity (PA) due to physical limitations, mobility limitations, environmental barriers, and social barriers. Physical inactivity has been shown to lead to obesity and other secondary complications. The use of personal health monitoring technology to increase PA level has become popular among the ambulatory population; however, none of these technologies pertain to the SCI population. In order to fill this gap, the investigators at the Human Engineering Research Laboratories developed a Physical Activity Monitoring and Sharing System (PAMS) that could track PA parameters among MWUs. PAMS consists of a tri-axial accelerometer worn on the arm, a gyroscopic-based wheel rotation monitor (GWRM) mounted on the wheel, and a smartphone application that communicates with the two sensors. The objective of this thesis is to evaluate the feasibility of PAMS in the home environment. The thesis is broken into two parts. The first part describes the preparation work for the field study, and the second part describes the field-based usability testing. Preparation work included the development of PA parameter estimation algorithms and the PAMS app. The estimated PA parameters were distance, energy expenditure (EE), time being active, push count, and push efficiency. The absolute errors for the estimation were 1.7%1.3% for distance, 15.4%9.4% for EE, 37.5%22.1% for time being active, and 11.7%10.0% for push count. The push efficiency was calculated by dividing the distance by push count. The PAMS app presented the PA parameters to users and incorporated several features for promoting PA such as goal-setting, summary, and social interaction. The field-based usability study evaluated PAMS in the home setting for 7 days to identify problems encountered by users and then assessed user experience and satisfaction. Ten MWUs with SCI were recruited, and PAMS scored an 85.56 out of 100 points on the System Usability Scale. The study concluded that MWUs with SCI could use PAMS to track their PA on a daily basis and that they find it useful. PAMS also has the potential to promote an active lifestyle among this population.
Technologies for Army Knowledge Fusion

Abstract : The fusing of information to provide a real-time situational awareness and common relevant operational picture of events both within and outside the battlespace requires the integration and use of heterogeneous civilian and military sources. Knowledge fusion, also called information fusion and multisensor data fusion, names the body of techniques needed to accomplish this critical need of the U.S. Army. The area builds upon and integrates results from a variety of fields, including multiagent systems, information integration, the semantic web, and the classical (mathematically based, engineering in orientation) fusion methodologies. The goal of work in knowledge fusion is to intelligently fuse massive amounts of heterogeneous information (not only from sensors, but also from databases, files, web pages, etc.) into a form which may be used by humans to yield actionable knowledge. This report surveys the literature relevant to the evolving field of knowledge fusion.
On countermeasures of worm attacks over the internet

Worm attacks have always been considered dangerous threats to the Internet since they can infect a large number of computers and consequently cause large-scale service disruptions and damage. Thus, research on modeling worm attacks, and defenses against them, have become vital to the field of computer and network security. This dissertation intends to systematically study two classes of countermeasures against worm attacks, known as traffic-based countermeasure and non-traffic based countermeasure. Traffic-based countermeasures are those whose means are limited to monitoring, collecting, and analyzing the traffic generated by worm attacks. Non-traffic based countermeasures do not have such limitations. For the traffic-based countermeasures, we first consider the worm attack that adopts feedback loop-control mechanisms which make its overall propagation traffic behavior similar to background non-worm traffic and circumvent the detection. We also develop a novel spectrum-based scheme to achieve highly effective detection performance against such attacks. We then consider worm attacks that perform probing traffic in a stealthy manner to obtain the location infrastructure of a defense system and introduce an information-theoretic based framework to obtain the limitations of such attacks and develop corresponding countermeasures. For the non-traffic based countermeasures, we first consider new unseen worm attacks and develop the countermeasure based on mining the dynamic signature of worm programs’ run-time execution. We then consider a generic worm attack that dynamically changes its propagation patterns and develops integrated countermeasures based on the attacker’s contradicted objectives. Lastly, we consider the real-world system setting with multiple incoming worm attacks that collaborate by sharing the history of their interactions with the defender and develop a generic countermeasure based on establishing the defender’s reputation of toughness in its repeated interactions with multiple incoming attackers to optimize the long-term defense performance. This dissertation research has broad impacts on Internet worm research since this work is fundamental, practical and extensible. Our developed framework can be used by researchers to understand key features of other forms of new worm attacks and develop countermeasures against them.
Shape of fiber tapers

A model for the shape of optical fiber tapers, formed by stretching a fiber in a heat source of varying length, is presented. Simple assumptions avoid any need for the techniques of fluid mechanics. It is found that any decreasing shape of taper can be produced. The procedure for calculating the hot-zone length variation required to produce a given shape of taper is described, and is used to indicate how an optical adiabatic taper can be made. A traveling burner tapering system is capable of realizing the model's prediction, and a complete practical procedure for the formation of fiber tapers with any reasonable shape is thus presented. >
Software Process Improvement in Very Small Entities:An investigation of Software Development Knowledge Management and Team issues in maintaining and evolving software process and process improvement.

technique at both management and team level in software development VSEs. These methods assisted the researchers in examining the attitude and perceptions of practitioners towards the research issues. The researchers also made use of survey questionnaires in VSEs in order to gain more input and to validate the qualitative data. The findings from the first stage analysis (qualitative analysis), in which the content analysis and grounded theory coding approaches were used, show the pattern and detailed categories that influence and are related with the software process and process improvement in VSEs. These categories are related to each other and allow the researchers to produce and validate the studies theoretical model. Likewise the second stage analysis (quantitative analysis) assisted the researchers in conforming and enhancing the first stage findings. This investigation shows that SPI programmes in VSEs are being undertaken in a very informal manner and also in indirect ways. The primary reasons identified for the informal nature of VSE SPI are due to cost, time, customer and company size, which give a higher priority to the product rather than process. In relation to teams, the small team size coupled with the working and management style have lead VSEs to be more informal in their knowledge management process and team organization. Moreover VSEs are largely ignoring the best practice SPI models. The reasons and acceptance criteria for this are discussed. This research also confirmed that SPI does not solely depend on technology but also the contributions of human aspects have a strong emphasize, especially in VSEs. Therefore a contribution of this research is to provide an extended knowledge and understanding of SPI research area in general and within VSEs domain in particular.
Platform for Distributed Generation Connection Assessment in Brazilian Electrical Grids

— This paper presents the studies and specifications of the development of a computational platform for distributed generation connection evaluation that uses the concept of Hosting Capacity and automated individual analysis of the connection as well as a protocol to utilize this platform. The risks and problems linked to the unbridled and without criteria connection of distributed generation to the network and its connection processes are addressed. Finally, a case study applied to a real network is presented, evidencing the mitigation of potential power quality
Optimization of energy-efficient transmission protocol for Wireless Sensor Networks

Wireless sensor network (WSN) technologies are increasingly employed in recent years for monitoring purposes in various fields ranging from the engineering industry to our immediate home environments due to their ability to intelligently monitor remote locations at low cost. While WSNs are continuously tasked to handle more complex functions, such as, data aggregation, frequent transmissions etc., in-network processing and intelligent computation still necessitate the available energy resources to be judiciously consumed in order to prolong their lifetime, since the nodes are often powered by batteries. In this thesis, our original contribution to knowledge is by developing three key strategies that can efficiently optimize transmission protocols in relation to offer an improved network lifetime for WSN deployments. Our first strategy involves a design of a cluster-based network layer routing protocol. We propose a purely deterministic model that utilizes clustering to organize the WSN. Our design is referred to as DEC: a deterministic energy-efficient clustering protocol. It is dynamic, distributive, self-organizing and it offers better energy efficiency compared with the existing protocols in the same domain. In addition, it utilizes a simplified approach that minimizes computational overhead to self-organize the sensor network. Our simulation result shows a better performance with respect to the energy consumption, which is reflected in the network lifetime of up to 2× improvement in both homogeneous and heterogeneous settings when compared with the existing protocols. It is worth mentioning that our approach approximates an ideal solution to offer a balanced energy consumption in hierarchical wireless sensor networks.
Generation of Petri Nets Using Structural Property-Preserving Transformations

In this paper, we present an approach to the generation of Petri nets exhibiting desired structural and behavioral properties. Given a reference Petri net, we apply a collection of local refinement transformations, which extends the internal structure of the reference model. The correctness of applying these transformations is justified via Petri net morphisms and by the fact that transformations do not add new deadlocks to Petri nets. We have designed two Petri net refinement algorithms supporting the randomized and fixed generation of models. These algorithms have been implemented and evaluated within the environment of the Carassius Petri net editor. The proposed approach can be applied to evaluate and conduct experiments for algorithms operating with Petri nets.
Response to Anonymous Referee #1

The paper is well written and presents timely, interesting and new insights into the lateral extent and ice marginal dynamics of the MIS 6 palaeo-ice sheet in the southern North Sea using both geophysical and sedimentological data. The paper is thorough in its assessments of available sedimentary and geotechnical data from engineering boreholes and shallow, high resolution 2D seismic and I would recommend it for publication with some relatively minor revisions listed below.
SOA for Profit, A Manager's Guide to Success with Service Oriented Architecture

Service-Oriented Architecture is becoming the leading architecture for IT, and it is changing the way organisations work. IT is slowly but steadily gaining maturity, and becoming the flexible yet stable and reliable support for business it should be. At the same time, IT is regaining its potential to create real business innovation. SOA will be an enormous step in the right direction for any organisation, but only if it is not approached as solely a technology issue. Technology is very interesting, and poses many challenges, but the real value will only be found when addressing the many coherent aspects that define the workings of business and IT in modern organisations. _SOA for Profit_ explains the value and essence of SOA. It makes SOA practical and pragmatic: turning models and vision into an actionable approach to start doing SOA in projects that deliver businessvalue. It emphasizes the importance of governance and architecture and shows that a broad vision of SOA is essential for deriving benefits from it. This book will bridge the gap between business and IT by providing tools and a common language that can be used when starting up a strategic dialogue that is the basis of business driven IT. Written by a team of authors from Sogeti and IBM, _SOA for Profit_ is a real-world book: based on experiences with real companies and real projects.
OMPONENT A NALYSIS APPLIED ON MULTI – CHANNEL A UDITORY S TEADY – S TATE R ESPONSE MEASUREMENTS

The application of auditory steady–state responses (ASSRs) is an objective and frequency specific technique to assess reliable hearing thresholds at audiometric frequencies. Unfortunately, the duration of ASSR measurement can be long, which is unpractical for wide scale clinical application. Therefore, we propose independent component analysis (ICA) as a tool to improve the ASSR detection in recorded multi–channel electroencephalogram (EEG) data obtained at high intensities. We conclude that ICA is able to reduce measurement duration significantly. For a multi–channel implementation, near–optimal performance is obtained with five–channel recordings. A proposal for a generative model is suggested. This model may provide the ability to explain some observed characteristics of the ICA–ASSR problem.