Miracle-dz/UniFAR-FTUs huggingface dataset:
SERAPH implementation plans

The Solar Energy Research Institute (SERI) devotes a significant research effort to the application of solar technology in the industrial sector. It is well known that US industries consume a significant amount of energy, a large portion of which is required in a temperature range in which concentrating solar collectors work effectively. The SERAPH facility (Solar Energy Research and Applications in Process Heat) will provide at SERI the capability of addressing many of the technical issues that currently hamper industrial solar thermal energy system implementation. The primary building blocks of SERAPH are the solar delivery subsystem, control, and data acquisition subsystem (including sequencing and emergency supervision), energy distribution subsystem and two physical areas set aside for storage development and the introduction of load devices. Emphasis has been placed on creating a versatile test facility within which the solar industry can work with SERI in the development of solar systems that will be attractive to potential industrial users. SERAPH will have an initial capability of producing steam at a rate of 900 lb/h (410 kg/h) which corresponds to an energy delivery rate of 1.5 million Btu/h (1.6 x 10/sup 6/ kJ/h) at 430/sup 0/F (220/sup 0/C) with expansion capability to approximatelymore » 600/sup 0/F (315/sup 0/C). The initial system controls will be analog with supervisory and direct digital control to follow. The issues to be addressed at SERAPH will be computer predictive model validation and refinement, control strategy development, solar equipment evaluation, and the accumulation of operating and maintenance experience. A consistent theme throughout the planning and operation of SERAPH is the need to develop and follow practices that are consistent with conventional industrial operating procedures. « less
GAME-PLAYING IN INTERDISCIPLINARY DESIGN AND PLANNING TEAMS. A ROLEPLAY SIMULATION AS A LEARNING METHOD

In this paper we present our experiences in setting up and fulfilling a role-play simulation in an academic context. This simulation was set up for the first time in February 2010 to teach 260 students in their final semester in the Bachelor, the bachelor 6, of the Faculty of Architecture how to work in interdisciplinary design and planning teams. Main goal was to teach them how to deal with expert targets in relation to interdisciplinary negotiations in a decision arena. Students had to optimize different expert sub solutions to come to an integral Master Plan for an outdated industrial area of 130 ha which the local municipality wants to transform into a lively urban district. In this role-playing simulation students learned that transformation of urban areas is not something for one individual to decide on (planner or designer) but needs a combined effort from mutual interdependent professionals to make a realistic and feasible plan. The dynamics of this mutual interdependency and the need for a realistic and feasible plan were the core of the final semester in the Bachelor.This exercise was repeated in September 2010 and in February 2011. For the second and third round we made some minor adjustments on the concept. We will give you insight in our practical experiences with this didactic model and combine this with scientific theories on gaming and simulation. At the end of this paper you will find some conclusions and recommendations for the use of role-play simulation as a learning method.
Scattered Energy of Vibration - a novel parameter for rotating shaft vibration assessment

Shafts mounted on bearings are subjected to vibrations due to many known and unknown causes. In many cases the causes of vibrations of a shaft may be initiated from the bearing parts and their manufacturing qualities. The mechanical vibration of a shaft mounted on bearings can be interpreted as chaotic oscillation of the shaft axis during its rotation and faster translation of mass in a chaotic manner and in unaccountably multiple directions. If we can determine these micro translations of mass-load including their velocity, it is possible to assess the energy created by the process of chaotic oscillations of the shaft-mass. In this article mathematical and physical modelling of scattered energy of vibrations emanated from individual causes of vibrations and the model of total scattered energy of vibrations are presented. The models correlating the total scattered energy of vibrations with the manufacturing and exploitation qualities of bearings can be used for vibration assessment of any rotating unit.
Biofilm Growth and Hydraulic Performance

Rheidol is a 56-MW hydroelectric station operated by the Central Electricity Generating Board (of England) in mid Wales. Both the low-pressure NANT-Y-MQCH to DINAS and the higher-pressure DINAS to CWM RHEIDOL tunnels have suffered biofouling and its attendant loss of hydraulic performance.
Evolution of Face Detection Techniques in Digital Images

Face detection is a popular application of object detection in computer vision. To detect faces in a digital image or video input requires the computer to utilize a series of algorithms or techniques. The technology of detecting faces has evolved proportional to its usage in various applications such as biometric security, autofocus in cameras, robotics, and social media applications. This aim of this paper is to provide a description on the evolution of face detection techniques such as Viola Jones, Histogram of Oriented Gradients (HOG), Convolutional Neural Network (CNN), and Multitask Cascaded Convolutional Neural Networks (MTCNN) from the year 2000 to recent years. Additionally, a comparison of the face detection techniques is discussed to evaluate the optimal face detection technique.
A THREE-DIMENSIONAL CFD PROGRAM FOR THE SIMULATION OF THE THERMO-HYDRAULIC BEHAVIOUR OF AN OPEN CORE LIQUID METAL REACTOR

A thermo-fluid dynamics code with the purpose to investigate three-dimensional pressure, velocity and temperature fields inside nuclear reactors is presented in this work. The code computes pressure,velocity and temperature fields at the coarse fuel assembly level when all the sub-channel details are summarized in parametric coefficients. A 3D CFD model for an open core liquid metal reactor has been implemented on a finite element code and some preliminary tests for generic geometries are reported.
LEVANTAMENTO FITOSSOCIOLÓGICO DE PLANTAS DANINHAS EM CULTIVO DE BANANA IRRIGADA

Este trabalho objetivou realizar cadastramento fitossociologico das especies de plantas daninhas na cultura da banana no Vale do Assu, no municipio de Ipanguacu-RN. O trabalho foi desenvolvido em uma area cultivada com banana ‘maca’ em area experimental do IFRN, campus Ipanguacu. Para realizacao do estudo, selecionou-se uma area com plantas em plena producao com quatro anos de idade, proveniente do plantio via rizomas. Na caracterizacao da comunidade infestante foi utilizado o metodo do quadrado inventario (quadro de 0,5 x 0,5 m), lancado aleatoriamente na area em estudo. Em cada quadro amostrado, as plantas foram identificadas, sendo quantificadas as familias, os generos e as especies. Para a area estudada, pode-se observar maior predominância de plantas dicotiledoneas. Foram identificadas 12 especies distribuidas em 12 generos e 9 familias. A maior infestacao foi de especies da familia Poaceae (25%).
Image processing applied to roads: surface texture, mensuration, vehicle shape and number detection

The potential value of digital image processing applications to road and traffic problems is substantial. This paper reviews the results of several practical feasibility investigations carried out in collaboration between ARRB and deakin university to assess this potential in a more concrete manner. The areas chosen were: road surface rating, measurement, and discrimination: calibrated sieve measurement: vehicle outline detection: vehicle registration number recognition. Practical selective video data acquisition equipment has been built and tested as part of this investigation. Analysis of the characteristics of road and traffic applications showed that these and other steps need to be taken to reduce the quantity of unnecessary images being collected for analysis. Effective test results were obtained in most of these trial areas, and recommendations for developmental and field applications work are made on the basis of this first feasibility stage (a).
Development of a self-navigating mobile interior robot application as a security guard/sentry

This paper describes a mobile robot system designed to function as part of an overall security system at a high security facility. The features of this robot system include specialized software and sensors for navigation without the need for external locator beacons or signposts, sensors for remote imaging and intruder detection, and the ability to communicate information either directly to the electronic portion of the security system or to a manned central control center. Other desirable features of the robot system include low weight, compact size, and low power consumption. The robot system can be operated either by remote manual control, or it can operate autonomously where direct human control can be limited to the global command level. The robot can act as a mobile remote sensing platform for alarm assessment or roving patrol, as a point sensor (sentry) in routine security applications, or as an exploratory device in situations potentially hazardous to humans. This robot system may also be used to ''walk-test'' intrusion detection sensors as part of a routine test and maintenance program for an interior intrusion detection system. The hardware, software, and operation of this robot system will be briefly described herein.
Power cepstrum technique with application to model helicopter acoustic data

The application of the power cepstrum to measured helicopter-rotor acoustic data is investigated. A previously applied correction to the reconstructed spectrum is shown to be incorrect. For an exact echoed signal, the amplitude of the cepstrum echo spike at the delay time is linearly related to the echo relative amplitude in the time domain. If the measured spectrum is not entirely from the source signal, the cepstrum will not yield the desired echo characteristics and a cepstral aliasing may occur because of the effective sample rate in the frequency domain. The spectral analysis bandwidth must be less than one-half the echo ripple frequency or cepstral aliasing can occur. The power cepstrum editing technique is a useful tool for removing some of the contamination because of acoustic reflections from measured rotor acoustic spectra. The cepstrum editing yields an improved estimate of the free field spectrum, but the correction process is limited by the lack of accurate knowledge of the echo transfer function. An alternate procedure, which does not require cepstral editing, is proposed which allows the complete correction of a contaminated spectrum through use of both the transfer function and delay time of the echo process.
Control Architecture for Fault Diagnosis and Recovery in a Power Management and Distribution System of a Hypersonic Vehicle

This paper discusses applications of distributed control system design that increase the autonomy of the power management and distribution system (PMAD) of a hypersonic vehicle. These techniques employ many local, intelligent controllers that rely on dynamic models of the system and support graceful degradation of controller performance when faults occur. Both of these concepts are described and simulation results are provided.
PRINCIPAL COMPONENT ANALYSIS OF SENATE VOTING PATTERNS

PRINCIPAL COMPONENT ANALYSIS OF SENATE VOTING PATTERNS JAN DE LEEUW There are various techniques available for the principal component analysis (PCA) of binary matrices. We illustrate some of them in this chapter by analyzing votes on 20 issues in the 2001 US Senate, selected by Americans for Democratic Action [Americans for Democratic Action, 2002]. It must be emphasized that the techniques we discuss are general, because they apply to many diﬀerent types of binary matrices. They can be used equally eﬀectively, for example, to analyze data from choice experiments or from tests and exams. The PCA techniques we use are chosen from two diﬀerent classes [De Leeuw, in pressa]. First, there is homogeneity analysis [Giﬁ, 1990], also known as multiple correspondence analysis [Greenacre and Blasius, in press]. In this technique we make a joint two-dimensional plot of both senators and issues. In order to do this, we ﬁrst have to choose a dimensionality. In this chapter we make all our plots in two-dimensional scape. Each issue is rep- resented by two points, an “aye” point and a “nay” point. In homogeneity Date: July 31, 2005.
Managing information in networked and multi-agent control systems

Traditional feedback control systems give little attention to issues associated with the flow of information through the feedback loop. Typically implemented with dedicated communication links that deliver nearly precise, reliable and non-delayed information, researchers have not needed to concern themselves with issues related to quantized, delayed and even lost information. With the advent of newer technologies and application areas that pass information through non-reliable networks, these issues can not be ignored. In recent years the field of Networked Control Systems (NCS) has emerged to describe situations where these issues are present. The research in this field focuses on quantifying performance degradations in the presence of network effects and proposing algorithms for managing the information flow to counter those negative effects. In this thesis I propose and analyze algorithms for managing information flow for several NCS scenarios; state estimation with lossy measurement signals, using input buffers to reduce the frequency of communication with a remote plant, and performing state estimation when control signals are transmitted to a remote plant via a lossy communication link with no acknowledgement signal at the estimator. Multi-agent coordinated control systems serve as a prime example of an emerging area of feedback control systems that utilize feedback loops with information passed through possibly imperfect communication networks. In these systems, agents use a communication network to exchange information in order to achieve a desired global objective. Hence managing the information flow has a direct impact on the performance of the system. I also explore this area by focusing on the problem of multi-agent average consensus. I propose an algorithm based on a hierarchical decomposition of the communication topology to speed up the time to convergence. For all these topics I focus on designing intuitive algorithms that intelligently manage the information flow and provide analysis and simulations to illustrate their effectiveness.
Conceptual Specification for Defensive Technology Evaluation Code (DETEC)

Abstract : The Defensive Technology Evaluation Code (DETEC) is being developed to assess the potential of a realistically diverse assortment of strategic defense and offense assets deployed on all sides in possible global conflict. Principal applications of the code will be to study the roles of the various weapon technology concepts being explored for strategic defense. Technology requirements and sensitivities will be studied in the context of complete wars built up from many individual one-on-one engagements. DETEC will also provide an important vehicle with which to develop and test various possible algorithms for battle management and for communications and control The DETEC simulation features a wide span of capabilities. It includes each important object with separate modular representations of each replica decoy, reentry vehicle, missile, submarine, satellite, etc. Such complete offensive and defensive inventories are employed on all sides of an arbitrarily many-sided conflict. The one-on-one engagement modules are statistical processes based upon accurate physical models. Damage to individual assets is simulated by operating parameters that may be continuously varying, giving simulated performance from full to zero capability.
Nonlinear Transistor Model Parameter Extraction Techniques: Frontmatter

1. Introduction M. Rudolph 2. DC and thermal modeling: III-V FETs and HBTs M. Iwamoto, J. Xu and D. E. Root 3. Extrinsic parameter and parasitic elements in III-V HBT and HEMT modeling S. R. Nedeljkovic, W. J. Clausen, F. Kharabi, J. R. F. McMacken and J. M. Gering 4. Uncertainties in small-signal equivalent circuit modeling C. Fager, K. Andersson and M. Ferndahl 5. The large-signal model: theoretical foundations, practical considerations, and recent trends D. E. Root, J. Horn, J. Xu and M. Iwamoto 6. Large and packaged transistors J. Engelmann, F. -J. Schmuckle and M. Rudolph 7. Characterization and modeling of dispersive effects O. Jardel, R. Sommet, J.-P. Teyssier and R. Quere 8. Optimizing microwave measurements for model construction and validation D. Schreurs, M. Myslinski and G. Crupi 9. Practical statistical simulation for efficient circuit design P. Zampardi, Y. Yang, J. Hu, B. Li, M. Fredriksson, K. Kwok and H. Shao 10. Noise modeling M. Berroth.
Two stage approaches for modeling pollutant emission of diesel engine based on Kriging model

The automotive industry faces the competing goals of producing better performing vehicles and keeping development time with low costs. It is crucial for the manufacturers to be able to produce fuel-economic vehicles, which respect pollutant emissions standards, and which meet the customers expectations. Accordingly, the complexity of the engines responses we have to optimize and the number of the parameters to control during the design stage, have increased rapidly, in the later years. In order to deliver vehicles, which respond to these requirements, in a reasonable time scale. Companies use design of experiments (DOE) (Schimmerling et al., 1998) in one side, and modelling, in the other side. DOE is a power tool, but the cost of the experiments and their duration, particularly in the field of pollutant emissions, can be a limit to their use in automotive industry.
Multi-agent system optimisation in factories of the future: cyber collaborative warehouse study

The rapid advancement of technologies leading to automation 5.0 has challenged manufacturers preparing for factories of the future, including warehouses, which are considered a key element in supply chains. Because of technologies such as warehouse robots, Internet of Things, Internet of Services, and cyber-augmented collaboration, the traditional warehouse system structure has been changed, improving its performances significantly. The challenges, however, are how to design a system with multi-agents and technologies to reach maximum potential. In this study, a new collaborative workflow protocol for cyber collaborative warehouse, called Collaboration Requirement Planning protocol for HUB-CI (CRP-H), is developed for optimising the collaborative workflow of a warehouse multi-agent system. The two phases of CRP-H are designed to answer questions: (1) Which robot(s) should execute which task? and (2) When should this task be executed? Results show (with statistical significance) that under CRP-H, total operational cost reduces by 11.84%, and total weighted completion time reduces by 37.11%. When the system has unplanned requests, CRP-H can still reduce total operational cost by 5.70% and total weighted completion time by 10.11%. Lastly, CRP-H, which enables a human input integrated into the design, can also reduce the total operational cost even when critical information is missing.
An Uniﬁed Deep Sparse Graph Attention Network for Scene Graph Generation

Scene graph generation plays an important role in deep understanding of the visual scene. Despite the empirical success of traditional methods in many applications, they still have several challenges in the high computational complexity of dense graph and the inaccurate pruning of sparse graph. To tackle these problems, we propose a novel deep sparse graph attention network to mine the rich contextual clues and simultaneously preserve the statistical co-occurrence knowledge of SGG. Speciﬁcally, our Relationship Measurement Network (RelMN) is adapted to ﬁrst classify all object pairs in dense graph as the foreground and background categories to ﬁlter the false relationships and then construct a sparse graph eﬃciently. Meanwhile, we design a novel feature aggregation and update method via graphical message passing to jointly learn the node and edge features for object recognition and relationship classiﬁcation in the graph attention network. Extensive experimental results on the large scale visual genome dataset demonstrate our proposed method outperforms several state-of-the-art approaches.
Early warning score using electronically-held data for patients discharged from intensive care units

Rationale. Intensive care units (ICUs) admit the most severely ill patients. Once these patients are discharged from the ICU to a step-down ward, they continue to have their vital signs monitored by nursing staff, with early warning score (EWS) systems being used to identify those at risk of deterioration. Objectives. We report the development and validation of an enhanced continuous scoring system for predicting adverse events, which combines vital signs measured routinely on acute care wards (as used by most EWSs) with a risk score of a future adverse event calculated on discharge from ICU.Methods. A modified Delphi process identified common, and candidate variables frequently collected and stored in electronic records as the basis for a ‘static’ score of the patient’s condition immediately after discharge from the ICU. L1-regularised logistic regression was used to estimate the in-hospital risk of future adverse event. We then constructed a model of physiological normality using vital-sign data from the day of hospital discharge, which is combined with the static score and used continuously to quantify and update the patient’s risk of deterioration throughout their hospital stay. Data from two NHS Foundation Trusts (UK) were used to develop and (externally) validate the model.Measurements and Main Results. A total of 12,394 vital-sign measurements were acquired from 273 patients after ICU discharge for the development set, and 4,831 from 136 patients in the validation cohort. Outcome validation of our model yielded an area under the receiver operating characteristic curve (AUROC) of 0.724 for predicting ICU re-admission or in-hospital death within 24h. It showed an improved performance with respect to other competitive risk scoring systems, including the National EWS (NEWS, 0.653). Conclusion. We showed that a scoring system incorporating data from a patient’s stay in ICU has better performance than commonly-used EWS systems based on vital signs alone.