Miracle-dz/UniFAR-FTUs huggingface dataset:
Knowledge engineering and diagnostics - today and tomorrow

Summary The paper addresses several issues concerning knowledge engineering in the context of technical diagnostics. The goal consists in preparing, verifying, validating and then implementing domain-specific knowledge, capable of aiding diagnosticians and other personnel in operating machinery and equipment. New trends in knowledge engineering focus our attention on discovering useful knowledge from huge databases that collect process data acquired from machinery
Time and Frequency Activities at the CSIR - National Metrology Laboratory

Abstract : The CSIR National Metrology Laboratory (CSIR-NML) is the custodian of the South African national measurement standards. The Time and Frequency (TF) Laboratory is responsible for the maintenance of the SI second, which is the most accurate standard currently maintained. In addition to the maintenance of the national timescale, the TF Laboratory is also responsible for a number of other parameters, including fast electrical pulse characterization, phase angle, phase noise, and a number of fiber-optic parameters. A project in which the TF Laboratory plans to take a leading role is establishing a frequency comb based on a femtosecond laser at the CSIR-NML.
A DVFS Design and Simulation Framework Using Machine Learning Models

Dynamic voltage and frequency scaling (DVFS) is an essential approach to optimize the performance and energy tradeoff. In this article, learning models predict the workload and then estimate the corresponding power and thermal dissipation. The proposed framework utilizes a deep reinforcement learning (DRL)-based controller. —Ulf Schlichtmann, Technical University of Munich
Autonomous Control of a Quadrotor UAV using Fuzzy Logic

UAV’s are being increasingly used today than ever before in both military and civil applications. A certain level of autonomy is imperative to the future of UAV’s. A quadrotor is a helicopter with four rotors, that make it more stable; but more complex to model and control. Characteristics that provide a clear advantage over other fixed wing UAV’s are VTOL and hovering capabilities as well as a greater maneuverability. Fuzzy logic control has been chosen over conventional control methods as it can deal effectively with highly nonlinear systems, allows for imprecise data and is extremely modular. The objective of this research endeavor is to present the steps of designing, building and simulating an intelligent flight control module for a quadrotor UAV. The responses are analyzed and future work involving hardware-in-the-loop simulations is proposed.
Correlation Between Changes in End-Tidal Carbon Dioxide and Stroke Volume Variation Detected by Electrical Cardiometry as A Predictor of Fluid Volume Responsiveness in Hemodynamically Unstable Patients in the Intensive Care

Background: The requirement for cardiac output (CO) measurements typically restricts the widely used passive leg raising (PLR) test for a set of patients because they need costly or intrusive hemodynamic surveillance equipment. This trial aimed to evaluate the role of end-tidal CO2 pressure (EtCO2) monitoring in the prediction of the fluid responsiveness in connection to stroke volume variation (SVV) observed in unstable hemodynamic patients in electrical cardiometry (EC). Methods: This prospective observational study was carried out on 60 cases aged 18 years or above with hypotension and mechanically ventilated patients in critical care. Patients were classified into two groups according to the SVV:a) Responder group (SVV≥10%) and b) non-responder group. All patients were mechanically ventilated and received sedation and muscle relaxation with no spontaneous respiratory effort. Results: EtCO2 was significantly increased in responder group than non-responder group at the end (P value = 0.002). SVV was significantly higher in responder group than non-responder group at the baseline (P <0.001). There was a significant negative correlation between SVV and EtCo2 (r = -0.456, P <0.001) and a significant positive correlation between cardiac index and EtCO2 (r = -0.456, P = 0.005). Ä EtCO2 can predict fluid responsiveness significantly (P <0.001) at cut-off > 3 mmHg with 81.4% sensitivity, 88.24% specificity. Conclusion: EtCO2 existed as a simple, inexpensive, and non-invasive alternative for the CO in the evaluation of various shock conditions. Ä EtCO2 can also predict fluid responsiveness significantly (P <0.001) at cut-off > 3 mmHg with 81.4% sensitivity, 88.24% specificity.
New indolizine compounds, process for their preparation and pharmaceutical compositions containing them

1. A compound of formula (I) wherein X and Y represent a carbon atom or a nitrogen atom, it is assumed that they can not simultaneously represent two carbon atoms or two nitrogen atoms, Het moiety gruppypredstavlyaet an optionally substituted, aromatic or non-aromatic ring consisting of 5, 6 or 7 ring members, which may contain, in addition to the nitrogen represented by X or Y, from 1 to 3 heteroatoms independently selected from oxygen, assuming sulfur and nitrogen which is considered a may be substituted by a group representing a hydrogen atom, a linear or branched (C-C) alkyl group or a group -C (O) -O-Alk, in which Alk represents a linear or branched (C-C) alkyl group, R independently from each other represent a hydrogen atom or a linear or branched (C-C) alkyl group, or R Rc nitrogen atom carrying them, form a heterocycloalkyl ring consisting of 4-7 members, which may contain, in addition to the nitrogen atom, another heteroatom selected from oxygen, sulfur, SOi NR, wherein R represents a is hydrogen, a linear or branched (C-C) alkyl group, (C) an alkylsulfonyl group, a linear or branched (C-C) polyhaloalkyl group, or a group -C (O) -O-Alk, in which Alk represents a linear or branched (C-C) alkyl group, R is a linear or branched (C-C) alkyl, (C-C) alkenyl group, a (C-C) alkynyl group, a cycloalkyl group, a (C-C) cycloalkyl- (C -C) alkyl group wherein the alkyl group may be linear or branched, an aryl group or a heteroaryl group, R sobo aryl, heteroaryl, cycloalkyl or linear and
Investigation of the effect of wind cooling on photovoltaic arrays

Convective cooling of photovoltaic modules for different wind conditions, including steady state controlled testing in a solar simulator and natural test environments in a field was investigated. Analytical thermal models of different module designs were used to correlate experimental data. The applicability of existing heat transfer correlations is confirmed. Reasonable agreement is obtained by applying a power law wind profile.
ESTIMATING STATEWIDE TRIP TABLES FROM VEHICLE CLASSIFICATION COUNTS

Although a statewide trip table is an important ingredient in the statewide planning process, such information is difficult to obtain. The study described in this report investigated the applicability to the state-level problem of existing software developed to estimate trip tables in urban areas (or smaller) from link counts. Criteria that would form the basis for determining the applicability of any particular software package were developed. Packages such as The Highway Emulator (THE), PC-LINKOD, and Fast Matrix Calibration (FMC) were tested using small and medium sized networks. Because FMC performed the best on these tests, it was applied to the state-level trip table estimation problem. However, FMC was designed to update an existing trip table, and Indiana had no such previous trip table. As a result, an "O-D Factoring" procedure was adopted to convert zone-by-zone origin and destination totals into an initial trip table that could be updated by FMC. By making some adjustments to the elasticities in FMC, a trip table was developed for the Indiana state highway network.
New methods to estimate models with large sets of fixed effects with an application to matched employer-employee data from Germany

"This paper will introduce new methods to estimate the two-way fixed effects model and the match effects model in datasets where the number of fixed effects makes standard estimation techniques infeasible. The methods work for balanced and unbalanced panels and increase the speed of estimation without imposing excessive computational demands. I will apply the methods to a new and unusually detailed matched employer-employee dataset from Germany. The analysis shows that the omission of match effects leads to biased inference particularly concerning the effects of individual characteristics and underlines the importance of accurate biographic data. " (Author's abstract, IAB-Doku) ((en)) Additional Information Program files
Understanding semiconductor devices

Part 1 Resistors: introduction to semiconductors the basics - resistor structure and drift current insight into conducitivity ingredients - chemical-bond model making a semiconductor resistor - lithography and diffusion carrier mobility energy-band model capacitors - reverse-biased P-N junction and MOS structure. Part 2 Basic applications: reverse-biased P-N junction $C$--$V$ dependence of the reverse-biased P-N junction - solving the Poisson equation SPICE parameters and their measurement metal-oxide-semiconductor (MOS) capacitor and thermal oxide. Part 3 Diodes: forward-biased P-N junction and metal-semiconductor contact rectifying diodes - fundamental effects and models SPICE models and parameters, stored charge capacitance, and temperature effects reference diodes - breakdown phenomena Schottky diodes - metal-semiconductor contact. Part 4 Basics of transistor applications: analog circuits digital circuits. Part 5 MOSFET: MOSFET principles MOSFET technologies MOSFET modelling SPICE parameters and parasitic elements. Part 6 BJT: BJT principles bipolar IC technologies BJT modelling SPICE parameters parasitic elements not included in device models. Part 7 advanced and specific IC devices and technologies: deep sub-micron MOSFET memory devices silicon-on-insulator (SOI) technology BICMOS technolgoy. Part 8 Photographic devices: light emitting diodes (LED) - carrier recombination photodetectors and solar cells - external carrier generation lasers. Part 9 Microwave FETs and diodes: gallium-arsenide versus silicon JFET MESFET HEMT negative resistance diodes. Part 10 Power devices: power devices in switch-mode power circuits power diodes power MOSFET IGBT thyristor. Part 11 Semiconductor device reliability basic reliability concepts failure mechanisms reliability screening reliability measurement. Part 12 Quantum mechanics: wave function Heisenberg uncertainty principle Schrodinger equation. Appendixes: basic integrated circuit concepts and economics crystal lattices, planes, and directions Hall effect and summary of kinetic phenomena summary of equations and key points list of Selected symbols answers to selected problems.
Two-layer perceptron for fast plasma density evaluation in broadband reflectometry

Broadband reflectometry is a suitable diagnostic to measure plasma density profiles in nuclear fusion devices (e.g. tokamaks). To determine each value of the profile an Abel inversion integral has to be numerically solved. Unfortunately this is a computationally demanding operation that prevents the use of the diagnostic in real-time applications. In this paper we present a new approach to the evaluation of density profiles based on a two-layer perceptron that is faster than the Abel numerical integration. In addition, it has sufficient accuracy for most applications utilized in the tokamak's real-time control.
Strengthening and refurbishment of Severn Crossing, part 5: other background research and development

The paper describes some of the background research and development in connection with the strengthening of the Severn Crossing. The selection of the scheme for replacement of the suspension bridge hangers was partly based on a review of the history of wire failures and detailed theoretical analysis of fatigue damaging actions. Extensive trials and laboratory tests were undertaken with alternative surfacing systems. Design vehicular and wind loading criteria were specially developed taking account of traffic observations and controls. Wind tunnel tests were conducted on models of the bridge deck, wind shields and Wye bridge stays. Field observations were made of aerodynamic behaviour. The risks of ship collision with the piers of the crossing were assessed and protective schemes were developed. (A)
Extension of the COST 2100 channel model for massive MIMO

Massive MIMO has been shown, both in theory and through experiments, to offer very promising properties. These include the possibility to decrease output power by at least an order of magnitude while still achieving large gains in spectral efficiency, as compared to today’s access schemes. To efficiently design communication algorithms and evaluate massive MIMO schemes, channel models that capture important massive MIMO channel characteristics are needed. We pursue this by extending a well-known cluster-based MIMO channel model - the COST 2100 model. In the paper, we suggest a model extension for massive MIMO, and we discuss main concepts, parameters and implementation issues. The modeling work is based on measurement data from a measurement campaign in the 2.6 GHz frequency range using a physically-large array with 128 elements. (Less)
Staying lean: thriving, not just surviving. 2nd ed.

The first edition of this highly acclaimed publication received a Shingo Research and Professional Publication Prize in 2009. Explaining how to create and sustain a Lean business, it followed Cogent Power’s first two Lean Roadmaps along their journey. Since then, much has changed. Several members of Cogent Power’s senior management have moved on, steel prices have declined, and the credit crisis has sparked an unstable global economy. Set against these developments, Staying Lean: Thriving, Not Just Surviving, Second Edition reports on Cogent Power’s response to these issues—detailing how they worked through their third Lean Roadmap. It also: * Guides readers with readily reproducible advice and an easy-to-follow model for sustaining Lean improvements * Presents a case study of a successful multinational Lean implementation * Covers a six-year Lean transformation from start to finish, illustrating the application of three distinct roadmaps Focusing on how to sustain change, the new edition of this bestselling reference, illustrates the experience of a multi-national company that successfully implemented Lean in its manufacturing and commercial operations. Based on a model of sustainable change, the text defines by example the elements of successful Lean management that are often difficult to emulate as well as the more visible features of process management.
The prospects of rubberwood biomass energy production in Malaysia.

Rubber has been shown to be one of the most important plantation crops in Malaysia, and rubber tree biomass has widespread applications in almost all sectors of the wood products manufacturing sector. Despite its abundance, the exploitation of rubberwood biomass for energy generation is limited when compared to other available biomass such as oil palm, rice husk, cocoa, sugarcane, coconut, and other wood residues. Furthermore, the use of biomass for energy generation is still in its early stages in Malaysia, a nation still highly dependent on fossil fuels for energy production. The constraints for large scale biomass energy production in Malaysia are the lack of financing for such projects, the need for large investments, and the limited research and development activities in the sector of efficient biomass energy production. The relatively low cost of energy in Malaysia, through the provision of subsidy, also restricts the potential utilization of biomass for energy production. In order to fully realize the potential of biomass energy in Malaysia, the environmental cost must be factored into the cost of energy production.
Autonomous adaptation and collaboration of unmanned vehicles for tracking submerged contacts

Abstract : Autonomous operations are vital to future naval operations. Unmanned systems, including autonomous underwater vehicles (AUVs) and autonomous surface vehicles (ASVs), are anticipated to play a key role for critical tasks such as mine counter- measures (MCM) and anti-submarine warfare (ASW). Addressing these issues with autonomous systems poses a host of difficult research challenges, including sensing, power, acoustic communications, navigation, and autonomous decision-making.
From All-Si Nanowire TFETs Towards III-V TFETs

Keywords: Silicon nanowire ; Gate-All-Around Tunnel FET ; InAs ; doping ; Tunnel diode ; Seebeck coefficient These Ecole polytechnique federale de Lausanne EPFL, n° 5534 (2012)Programme doctoral Microsystemes et MicroelectroniqueFaculte des sciences et techniques de l'ingenieurInstitut de genie electrique et electroniqueLaboratoire des dispositifs nanoelectroniquesJury: M. Gijs (President), A. Fontcuberta i Morral, J. Knoch, T. Mayer Public defense: 2012-10-9 Reference doi:10.5075/epfl-thesis-5534Print copy in library catalog Record created on 2012-10-04, modified on 2017-05-10
Hypersensitivity- An Update

Dentinal hypersensitivity (DHS) can be defines as a short sharp pain that occurs as a response to various stimuli on exposure of dentinal tubules to the external environment and which cannot be described as any other disease. The most important part of the treatment is to identify the etiology behind the sensitivity and treating the condition accordingly. Differential diagnosis may include pulpitis, carious teeth, chipped tooth, cracked tooth syndrome etc. The treatment modalities depend upon whether the sensitivity is due to gingival recession, tooth wear lesion or periodontitis or related causes. This review highlights various strategies to counter this disease as well discusses various desensitizing agents recently in use like Novamin, Biomin, Calcium phosphate dentifrices, Nanoparticles and herbal desensitizing agents.
KEYNOTE ADDRESS: The Role of Silviculture in Restoring Fire-Adapted Ecosystems

Across the drier forests of the western United States, historical fire was a natural silvicultural process--thinning stands from below, cleaning surface fuels, and maintaining fire-resilient conditions. The 20th century fire exclusion policy, although initiated with the best of intentions, has been a disaster in dry forests, converting them to high-severity fire regimes. Restoring fire-safe forests will require the use of fire or silvicultural options that mimic fire to reduce surface fuels, reduce ladder fuels, and reduce crown density, while in the process retaining the largest, most wildfire-tolerant trees. Challenges include the lack of markets for small material, perceived environmental effects of large-scale operations, and the need to act within a global warming context.
Risk management decisions for pesticides and threatened and endangered species: The role of uncertainty analysis

ABSTRACT Despite data gaps and information shortfalls, government agencies in the United States are expected to produce timely and defensible decisions to regulate pesticide use under the Federal Insecticide, Fungicide, and Rodenticide Act and in compliance with the Endangered Species Act. The decision to register a pesticide is predicated on a conclusion that no unreasonable effects will accrue to the environment, including threatened and endangered species. We recognize that the definition of acceptable risk is a policy judgment stemming from legislative language and judicial interpretation. However, a common risk assessment approach with similar technical underpinnings and a high degree of transparency used by all the agencies would be cost effective and more likely to achieve consensus among interested parties. Quantitative probabilistic risk assessment (PRA) methods can be used to develop risk estimates and to describe the level of confidence in these estimates. PRA methods can also differentiate among the contributions of natural stochasticity, measurement variability, and lack of knowledge. Because this approach enhances transparency and increases understanding of the implications of limited data sets and associated assumptions, we encourage the appropriate agencies to implement PRA methods as a means of reaching common ground when assessing risks of pesticides to listed species.
Toward a program of research on knowledge flow in the very-large enterprise

Abstract : Knowledge is power. As the U.S. Navy is working to revise its strategy and tactics through knowledge-centric warfare, it is apparent that knowledge flow is key. However, our current state of understanding does not address the phenomenology of knowledge flow well, nor do we have the benefit of knowledge-flow theory and its application to very-large enterprises such as the Navy. Without such basic understanding, one cannot expect to design effective systems and processes for network-centric warfare. The basic research program proposed here addresses this deficiency directly through its three-pronged technical approach: (1) develop and refine a model of knowledge-flow theory, emphasizing the very-large enterprise (e.g., Navy, Department of Defense); (2) develop a contingency model for matching the most appropriate process and system designs to enterprise knowledge-flow patterns; (3) assess the performance effects of alternative knowledge systems and processes through simulation (e.g., of naval warfare, personnel processes). Informed by the basic science of knowledge-flow theory, this work can propel knowledge management toward the methods and tools commonly used for engineering work-a quantum shift from the current state of affairs. This basic research also directly supports ongoing, priority ONR projects (e.g., Sailor-21, advanced command and control, artificially-intelligent systems and decision aids) and should contribute to development of network-centric warfare concepts, systems and operations.