Miracle-dz/UniFAR-FTUs huggingface dataset:
Dynamic responses of railroad car models to vertical and lateral rail inputs

Simplified dynamic models were applied in a study of vibration in a high-speed railroad car. The mathematical models used were a four-degree-of-freedom model for vertical responses to vertical rail inputs and a ten-degree-of-freedom model for lateral response to lateral or rolling (cross-level) inputs from the rails. Elastic properties of the passenger car body were represented by bending and torsion of a uniform beam. Rail-to-car (truck) suspensions were modeled as spring-mass-dashpot oscillators. Lateral spring nonlinearities approximating certain complicated truck mechanisms were introduced. The models were excited by displacement and, in some cases, velocity inputs from the rails by both deterministic (including sinusoidal) and random input functions. Results were obtained both in the frequency and time domains. Solutions in the time domain for the lateral model were obtained for a wide variety of transient and random inputs generated on-line by an analog computer. Variations in one of the damping properties of the lateral car suspension gave large fluctuations in response over a range of car speeds for a given input. This damping coefficient was significant in reducing lateral car responses that were higher for nonlinear springs for three different inputs. (Author)
WEIGH-IN-MOTION USING OPTICAL FIBRE TECHNOLOGY

A new Weigh In Motion sensor is under development within the Alcatel Group and the Public Works Research Laboratory, depending on the French Ministry of Transport. The sensor principle uses induced photoelastic properties in optical fibres under loading by mechanical strain. Polarimetric fringes are observed. A calculation devoted to the fibre output signal phase gives the force applied to the sensor, in real time. The paper describes the theoretical principle and processing and presents a calibration result. For the covering abstract see IRRD E102667.
A Review of Identity Methods of Internet of Things (IOT)

The Internet of Things (IOT) is a recent technology originating from the field of sensor networks. It has received significant attention because it is involved in most aspects of our daily lives. The IOT vision makes objects of various kinds become part of the Internet by assigning each object a unique identifier, enabling objects to communicate with each other in the same or different environments. IOT can collect, process, and exchange data via a data communication network. There are many methods for identifying objects; some have existed since the beginning of IOT innovation, such as Radio Frequency Identification (RFID), Barcode/2D code, IP address, Electronic Product Codes (EPC), etc. Continuous development in IOT domain and the large number of objects connected to the Internet daily require an improved identification method to cope with the rapid development in this field. Many modern methods have been proposed recently, based on various technologies such as computer vision, fingerprinting, and machine learning. This paper introduces an overview of IOT and discusses its fundamental elements; it mainly focuses on identification of IOT which is considered the main part that the IOT systems rely on. The paper discusses the existing identification methods for IOT. Moreover, it provides a review of the modern identification methods proposed in recent literature.
Applications and innovations in expert systems VI : proceedings of ES98, the Eighteenth Annual International Conference of the British Computer Society Specialist Group on Expert Systems, Cambridge, December 1998

Application Keynote Address. - Expert Systems in the Knowledge Management Era. - Best Refereed Application Paper. - A Web Based CBR System for HVAC Sales Support. - Session 1. - PCONFIG: A Web-Based Configuration Tool For Build-To-Order Products. - Cakes - Getting The Right Balance. - Development of a Rule-Based Expert System for the Selection of Rapid Prototyping Processes. - ACCELERE: A Case-Based Design Assistant for Closed Cell Rubber Industry. - Session 2. - A Single-Agent Architecture Supports Decision Making. - Fuzzy Rule-Based Expert System for Real-Time Train Traffic Control. - Design Engineering - A Need to Rethink the Solution Using KBE. - A Case-Based Reasoning Tool For Vibration Analysis. - Session 3. - Internet-Based Decision Support for Evidence-Based Medicine. - A Temporal Protocol Model for Chronic Disease Management in the PRODIGY Project. - Modelling The Veterinary Diagnostic Process Using Rules And Cases. - Hascheck - The Croatian Academic Spelling Checker. - Session 4. - Invoice Discounting - A Strategic Analysis Using Case-Based Reasoning. - Using Statistical Models and Case-Based Reasoning In Claims Prediction: Experience from a Real-World Problem. - Developing Association Rules in Facilities Management Databases. - A Hybrid Case-Based Neural Network Approach to Scientific and Engineering Data Analysis. - Review Session. - Success Comes From Experiencing Failure. - Large Scale Knowledge Based Systems for Airborne Decision Support.
Molecular Characterization and Genomic Analysis of Novel Phage vB_ ShiP-A7 Infecting Multidrug-Resistant Shiglla Fexneri and Escherichia Coli

BackgroundPhage therapy has regained more attention due to the rise of multidrug-resistant (MDR) bacteria. Several case reports demonstrated clinical application of phage in resolving infections caused by MDR bacteria in recent years. ResultsWe isolated a new phage, vB_ShiP-A7, and then investigated its characteristics. Phage vB_ShiP-A7 is a member of Podoviridae that has an icosahedral spherical head and a short tail. vB_ShiP-A7 has large burst size and short replication time. vB_ShiP-A7’s genome is linear double stranded DNA composed of 40058 bp, encoding forty-three putative open reading frames. Comparative genome analysis demonstrated vB_ShiP-A7’s genome sequence is closely related to fifteen different phages (coverage 74-88%, identity 86-93%). Mass Spectrometry analysis revealed that twelve known proteins and six hypothetical proteins exist in particles of vB_ShiP-A7. Genome and proteome analyses confirmed the absence of lysogen-related proteins and toxic proteins in this phage. In addition, phage vB_ShiP-A7 can significantly reduce the growth of clinical MDR stains of Shigella ﬂexneri and Escherichia coli in liquid culture. Furthermore, vB_ShiP-A7 can disrupt biofilms formed by Shigella ﬂexneri or Escherichia coli in vitro. ConclusionPhage vB_ShiP-A7 is a stable novel phage, which has a strong application potential to inhibit MDR stains of Shigella ﬂexneri and Escherichia coli. Comparing the genomes between vB_ShiP-A7 and other closely-related phages will help us better understand the evolutionary mechanism of phages.
Driver mobile phone use: Results from an observational survey

Research indicates that mobile phone use while driving can impair a number of safety critical factors including reaction time, hazard perception, gaze shifting and vehicle control and is also associated with an increase in crash risk of up to four times. Given the serious implications for road safety and the rate of increase in mobile phone technology, it is important to conduct regular surveys of mobile phone use among drivers on our roads. An on-road observational survey of handheld mobile phone use was undertaken in 2009 as part of a larger restraint use survey. The survey was conducted at 61 sites in metropolitan Adelaide and five rural regions. Results indicated that 0.56 per cent of drivers observed during the survey were using hand-held phones. Hand-held phone usage rates ranged from 0.75 per cent in metropolitan Adelaide to 0.34 per cent in the Riverland. The rate for metropolitan Adelaide was slightly lower than a comparable mobile phone observational survey conducted in Melbourne during 2009. Of all the characteristics examined, the only statistically significant difference in hand-held phone usage was for the number of vehicle occupants. The odds of drivers using a hand-held phone while travelling alone were over four times higher than for drivers travelling with passengers. It is recommended that similar surveys should be undertaken regularly in South Australia to monitor trends in mobile phone usage over time.
Computational Model for Wearable Hardware Commodities

In this paper we propose a software architectural model, which generates software applications suitable for commodity hardware, and exploits sensor generated data from wearables for issuing warnings/advice/information relevant to the wearer, at the time when the data is generated. The novelty of the software solution is in using the ReactiveX programming paradigm in order to perform computations very close to data origins and consequently promoting computing at the edge. The proposal also addresses the issues of latency prevalent in cloud computations, commonly associated with wearable devices. We illustrate our proposal by exploiting data generated through Fitbit devices and demonstrate its usefulness in addressing the wearers' needs to extend the device role in fitness towards wellbeing healthcare management. The results from this research might appeal to manufacturers of wearables, if they wish to explore placing computations outside the Cloud and design a new generation of devices, which would consider computations at the edge, as default in future.
Testing the Efficiency of Different Isolates of Azotobacter, Azospirillum and Pseudomonas for Some Traits Related to Plant Growth Promoters on Varieties of Onion

The ability of rhizobacterial isolates (Azotobacter, Azospirillum and Pseudomonas) isolated at random from rhizosphere of different onion varieties to exhibit some plant growth promoting properties was evaluated in vitro conditions. After purification the isolates were tested towards their ability to solubilize phosphate and production of auxins. Additionally, field trials were conducted at Mallawi Agricultural Research Station, Minia Governorate, Egypt, during two successive winter seasons (2016/2017 and 2017/2018) to study the impacts of rhizobacterial inoculation on some chemical composition and yield characters of three onion varieties (Giza 6 Mohassan, Giza 20 and Giza Red) under two levels of mineral Nfertilizer. The experiments were laid out in a split-split plot design with three replicates of each treatment and the combined statistical analysis of variables was worked out for both tested seasons. The results of the laboratory experiments showed that the highest values of auxin production for Azotobacter, Azospirillum and Pseudomonas were recorded for isolates number (Azt 1), (Azo 1) and (Ps 1) as they produced 0.53, 0.45 and 0.46 μg/ml, respectively, with the variety Giza 6 Mohassan. While, isolates number (Azt 1), (Azo 1) with Giza 6 Mohassan variety and (Ps 6) with Giza red variety were the most efficient in dissolving phosphate. Results of field trials showed that Giza 6 Mohassan variety inoculated with Pseudomonas and amended with 75% from the recommended-N surpassed the other treatments in chemical composition and all yield characters. The promotive action of such treatment exerted highest values of bulb diameter (6.10 cm), onion yield (6.48 ton fed), T.S. S (12.21%), N (1.950%), P (0.429%) and K (0.947%).
Recent development of aerodynamic design methodologies : inverse design and optimization

Multi Objective Aerodynamic Optimization - Inverse Optimization Method for Aerodynamic Shape Design - Subsonic Aerodynamic Design - Parametric Airfoils and Wings - Using Existing Low-Field Analysis for Inverse Design of Three-Dimensional Aerodynamic Shapes - Numerical Methods for Inverse Solution in Aerodynamic Design of Turbomachinery - Inverse Blade Design Based on Permeable Wall Concept - An Inverse Design Method for Wings Using Integral Equations and its Recent Progress - Application of Transonic Inverse Method to the Development of Aerospace Products - Aerodynamic Design of Wing-Engine Configuration under Effect of Jet Plume
Optically active Si-rich Si3N4 Mu-cavities for sensoristic applications

In this thesis we have presented a thorough study on the optical and sensoristic properties of SRSN Mu-disks, in an isolated configuration and when coupled to a passive Si3N4 waveguide placed underneath. The whole structure of the device have been previously simulated in order to study the behavior of the supported WGM when subject to a geometrical variation (i.e.: radius, thickness, shape of the edge of the isolated Mu-disk): the obtained results granted the realization of Mu-resonators with Q factor exceeding 104. The coupled structure have been then simulated with the main goal of maximizing the WGM intensity transmitted at the end of the WG. This task has been fulfilled through a careful optimization of the geometrical parameters (i.e.: X-Gap and Z-Gap). The subsequent step, involving the fabrication process of the sample - realized in the Centro Nacional de Microelectronica (CNM) of Bellaterra - has been carried out using standard CMOS compatible process. The deposition and the implantation of the Si3N4 has been performed by means of LPCVD technique, while for the SiO2 deposition the PECVD. Finally the optical elements has been defined by means of a two level photolithographic mask. On the produced samples we have performed a superficial analysis (SEM, AFM) with the aim of evaluate the presence of geometrical imperfections and estimation of the superficial roughness. Furthermore the EFTEM analysis revealed the absence of Si-nc inside the active layer. Using the Cut-back technique, low losses under 1 dB/cm have been found in both VIS and IR spectral range in the passive WG of different width. On the other hand, applying the SES technique on an Si-rich WG structure we have been able to extract the losses value of active material in a wide and continuous range of wavelength, defined inside the PL spectrum. As a result of a careful optimization of the active SRSN in terms of PL intensities and optical losses, we have been able to produce bright and high Q isolated Mu-disks, achieving maximum values about 1.4x104 in a wide spectral range in the VIS and emitting up to few nW on a single resonance. The reported Q values are the best ever reported in circular Si-based light emitting Mu-cavities and are just limited by the spectral resolution of our experimental setup. The coupled structures demonstrated Q values up to 1.48x103, which are susceptible to be greatly improved through optimization of the fabrication process. Through a prof of concept , we have demonstrated that these structures are very sensible to the surrounding material and are able to detect refractive index changes with sensitivities of 51.79 nm/RIU and minimum measured refractive index change of 1.15x10-3 RIU.
DEVELOPMENT OF PARKING SPACE DETECTION USING AN ULTRASONIC SENSOR

A parking space detection algorithm using an ultrasonic sensor has been developed. This enables automatic detection of the target parking position for a reverse parking assist system. This paper reports the background of development, the outline of the system, vehicle shape detection using an ultrasonic sensor, vehicle front shape detection, vehicle side shape detection, the actual vehicle operation status and includes a summary.For the covering abstract see ITRD E134653.
Audit and evaluation of computer security II : system vulnerabilities and controls : proceedings of the NBS invitational workshop, held at Miami Beach, Florida, November 28-30, 1978

The National Bureau of Standards, with the support of the U.S. General Accounting Office, sponsored a second invitational workshop on computer security audit, entitled "Audit and Evaluation of Computer Security II: System Vulnerabilities and Controls," In Miami Beach, Florida, on November 28-30, 1978. A cross-section of highly qualified people In the computer science and EDP audit fields was assembled to develop material that would be directly usable for a Federal Information Processing Standard (FTPS) Guideline on the subject. Tn order to cover the material in a systematic fashion, the workshop was partitioned into three management sessions and five technical sessions. The management sessions addressed Managerial and Organizational Vulnerabilities and Controls at the Staff Level (1 session) and the Line Level (2 sessions). The technical sessions addressed vulnerabilities and controls in the areas of Terminal and Remote Peripherals, Communication Components, Operating Systems, Applications and NonIntegrated Data Files, and Data Base/ Data Base Management Systems. These Proceedings are the reports developed by the eight sessions of the workshop.
Novel Fuzzy Control Energy Management Strategy for Fuel Cell Hybrid Electric Vehicles Considering State of Health

Due to the low efficiency and high pollution of conventional internal combustion engine vehicles, the fuel cell hybrid electric vehicles are expected to play a key role in the future of clean energy transportation attributed to the long driving range, short hydrogen refueling time and environmental advantages. The development of energy management strategies has an important impact on the economy and durability, but most strategies ignore the aging of fuel cells and the corresponding impact on hydrogen consumption. In this paper, a rule-based fuzzy control strategy is proposed based on the constructed data-driven online estimation model of fuel cell health. Then, a genetic algorithm is used to optimize this fuzzy controller, where the objective function is designed to consider both the economy and durability by combining the hydrogen consumption cost and the degradation cost characterized by the fuel cell health status. Considering that the rule-based strategy is more sensitive to operating conditions, this paper uses an artificial neural network for predictive control. The results are compared with those obtained from the genetic algorithm optimized fuzzy controller and are found to be very similar, where the prediction accuracy is assessed using MAPE, RMSE and 10-fold cross-validation. Experiments show that the developed strategy has a good generalization capability for variable driving cycles.
INFRASTRUCTURE PRESERVATION USING WIM COORDINATED WEIGHT ENFORCEMENT

The Montana Department of Transportation (MDT) just completed a pilot project in which data from a statewide network of weigh-in-motion (WIM) sensors were used to assist in scheduling weight enforcement activities of patrol personnel. The purpose of this project was to determine if one of the Division's objectives, namely, reducing infrastructure damage from overweight vehicles, could be better realized by using WIM data in dispatching officers. Data for the project were obtained from Montana's State Truck Activities Reporting System (STARS), which consists of WIM sites deployed around the state to collect information for a spectrum of MDT activities. In this case the STARS data were processed to determine the pavement damage caused by overweight vehicles each month during the baseline year. The trends identified from this analysis were used in the subsequent year to direct patrol efforts each month to the five sites that had historically experienced the greatest pavement damage from overweight vehicles. Officers were directed to the specific vehicle configurations historically responsible for the damage, as well as to their direction of travel and time of operation
Design and Evaluation of Peripheral Transverse Bars to Reduce Vehicle Speed

Speeding is considered to be a contributing factor in crashes and therefore is a very important safety issue. Because higher vehicle speeds result in more severe crashes, if vehicle speeds can be reduced in dangerous road sections, then presumably safety can be improved. One speed reduction method that has shown promise in past research is to use pavement marking patterns to give drivers the perception that they are traveling faster than they really are. This illusion is created by making the travel lanes appear narrow or adding optical patterns to the roadway surface. The present research project examined whether perceptual countermeasures such as pavement marking patterns have the potential to reduce vehicle speeds. Sites were chosen in New York, Mississippi, and Texas. Speed measures were taken to evaluate the effectiveness of the markings during three phases: 1) before installation, 2) shortly after the installation, and 3) six months after the installation to examine long-term effects at each site. The markings resulted in a decrease in overall vehicle speeds with total vehicles as well as specific classifications of vehicles. There were also reductions in speed with vehicles traveling with headways greater than four seconds. Speed reductions were found to be higher at the New York site and Mississippi site, which were interstate and arterial roadways whereas in Texas where the markings were placed on a local road, the effects were not as large. The results of the analysis will be used to make recommendations to the Federal Highway Administration (FHWA) Manual on Uniform Traffic Control Devices (MUTCD) team with input from the Traffic Control Devices Pooled Fund Study members.
Recognition of End-of-Speed-Limit and Supplementary Signs for Improved Speed Limit Support

We present two new features for our prototype of European Speed Limit Support system: detection and recognition of end-of-speed-limit signs, as well as a framework for detection and recognition of supplementary signs located below main signs and modifying their scope (particular lane, class of vehicle, etc…). The end-of-speed-limit signs are globally recognized by a Multi-Layer Perceptron (MLP) neural network. The supplementary signs are detected by applying a rectangle-detection in a region below recognized speed-limit signs, followed by a MLP neural network recognition. A common French+German end-of-speed-limit signs recognition has been designed and successfully tested, yielding 82% detection+recognition. Results for detection and recognition of a first kind of supplementary sign (French exit-lane) are already satisfactory (78% correct detection rate), and our framework can easily be extended to handle other types of supplementary signs. To our knowledge, we are the first team presenting results on detection and recognition of supplementary signs below speed signs, which is a crucial feature for a reliable Speed Limit Support.
Quality Management in ROSATTE

The ROSATTE project aims to develop the infrastructure and tools to access up-to-date road safety attributes (e.g. speed limits and warning signs ). This data is maintained by local road authorities which can now make it available e.g. for map providers that have a big need of most recent data. But such applications also require a certain level of quality data. Therefore the ROSATTE quality management includes the derivation of a quality model as well as a quality management concept that is needed to ensure that all processes along the data processing chain are capable to provide data of the required quality.