Miracle-dz/UniFAR-FTUs huggingface dataset:
Light vehicle energy management system using multi-power sources

This paper describes the modelling of the energy management system (EMS) of light vehicles using hybrid multi-power source systems. The hybrid system included a fuel cell (FC), a battery, supercapacitors (SC) and a photovoltaic cell. The battery was used as the primary power source for driving the vehicle. Other sources were used as supplemental power sources for medium range vehicle usage. The control algorithm was developed as a switching mechanism used to trigger between the energy sources based on the drive of the vehicle power system as a means of examining the electrical power flow. The control algorithm was used to manage the switching operation of power supplies for the EMS during light vehicle operation. The results showed that the models were operating efficiently based on the switching control algorithm and management of the energies from various sources. Streszczenie. Opisano modelowaniem system zarządzania energią lekkich pojazdow. W sklad systemu wchodzą: bateria, superkondensator i bateria fotowoltaiczna. Szczegolną uwage zwrocono na mechanizm przelączania miedzy źrodlami energii. (System zarządzania energią w lekkich pojazdach mechanicznych)
The Regulation of Design in Global Architecture Firms: Embedding and Emplacing Buildings

The emergence of global architecture firms and their role in the production of city architectures raises a number of questions for social scientists. For example, how— indeed do—global architects ensure that the buildings they design are ‘in place’ and appropriate for the urban cultural, economic, social and political contexts in which they are to be built? The aim of the paper is to consider this question. ‘Regulation’ is taken in its broadest sense and the paper explores the role of standards and codes as well as other forms of social regulation in the process of emplacing designs. It is argued that, in order to understand how buildings are put in their place, analysis is needed of both the design-side adaptations architects make to buildings and also the consumption side regulation of designs and the way the behaviours of those inhabiting buildings produce ‘local’ meaning.
Keeping card data secure at low cost

The plastic card is indispensable in the daily life of most people, and its use is growing fast. Already widespread in banking, retail, prepaid telephone, ticketing and access control, the use of a card is expanding to take in other applications such as identity and the electronic purse. As the importance of the card and the transaction that it enables grows, so too does the need for security. The paper describes a new way by which technologies can be combined to give a card that offers both security and data storage, which can be tailored to the needs of the application, and does so very cost competitively. The approach is illustrated by the example of an identity card which could hold a digitised photograph or signature, be secure, and have a cost well below that of an integrated circuit Smartcard.
Eagle Eye: An Accountable Logging Framework for Distributed Systems

Although security has been addressed in various aspects, accountability is a main stream of security which is lacking in todays computer systems. The ability to not just detect errors but also to find the reason for the failure and also the system in charge is crucial. Accountability in distributed systems is a main issue which has to be dealt with more effectively and efficiently. This work introduces Eagle Eye, which is a novel approach to overlay accountability over distributed systems. It is a standalone application which does not merge with the application which is being monitored. Eagle Eye works by maintaining secure log files of all the packets being sent and received. Faults are detected using these recorded log files on-demand and periodically. Eagle Eye can be used with a wide variety of applications as it only requires that the results are deterministic and not arbitrary. Eagle Eye was applied to three different protocols over peer-to-peer system and over the network file system and was analyzed.
ASTUDY OF SEEPAGE UNDER A CONCRETE DAM USING THE FINITE VOLUME METHOD

In some countries, underground waters are the most important sources to provide drinking water. So it is necessary to make scheme and to do high protection of to achieve maximum beneficiary. Necessity of this management is going to be felt by developing these sources and human's interference. However, in the past overtopping phenomenon was the first reason of dam's destruction, but nowadays by increasing of spate design's period, the significant problem that researchers are interfere with, is seepage problem. The purpose of solving the underground problems is to procure height of water as a function of coordinate and time. In observation of practical industries, we can use the mathematical models that simulate the water flow in porous media. Often, in large areas, examinations are impossible and too expensive. So, with computer simulation, more areas are going to be studied. In this paper, mathematical model of moving water under concrete dam in porous media is discussed. In this case, according to discretization methods of the governing equations in porous media such as finite difference and finite element, finite volume techniques, the last one was selected. The present model shows the amount of water that seep under the concrete dam. Herein, to possibility of solving the problem with this method, the media is simplified. For solving the equations, unstructured mesh is used. The effect of underrelaxation coefficient to increase the rate of convergence is illustrated. This factor was calculated and found equal to 0.995 that shows 10 percent improvement in rate of convergence. The results of seepage discharges by using 3 powerful seepage codes (Seep/w, Mseep and Plaxis) that are based on finite element method are compared with results of FVseep model which is based on finite volume method and shows 5.1 percent improvement in accuracy.
These Shoes were Made for Talking: Documenting Identity through the Lens of Footwear

: This article discusses the development of a longitudinal research project Shoe and Tell which is grounded in the principles of visual ethnography. The project was conceived to capture and document the experience of identity for British based teenagers. The teenage years are a significant transitionary period through the human lifecycle, a key time for identity experimentation and formation. In an increasing digital world, perpetuated by social media, this generation have become known for being image conscious, anxious and lonely. This places undue pressure on their sense of self and identity negotiation, and has created assumptions of them being a narcissistic, self-focused demographic. In response to these societal challenges the intention of Shoe and Tell was to bring an insider perspective to teenage identity by documenting, through visual ethnography, the images, real life narratives and experiences of identity from the perspectives of teenagers. While identity has often been examined through the relationship between clothing and individuals this research takes a different, innovative approach by exploring the subject through the lens of footwear. As a worn and ubiquitous object, the shoe has an embodied relationship with its wearer asserting its meaningfulness as a visible expression of self-identity. This article discusses the development of a methodological approach to examine teenage identity. Photography as a form of ethnographic research is used to document and stimulate the narration of experiences and feelings surrounding a young person’s sense of self-identity as discussed through the shoes they are wearing. How individuals present themselves and discuss their experience of identity is captured through footwear. What emerges from this study is the value of this innovative visual methodological approach to documenting and understanding identity as it is experienced through a specific transitional life stage.
Research on Recognition Technology of License Plate Image

Based on the MATLAB platform, this paper studies the image recognition technology in the license plate recognition system. Firstly, the image is preprocessed by modern computer technology, mainly for grayscale processing of color images, and then stretching and binarization processing at a smooth angle to get image with high precision. Secondly, the license plates decomposed into several independent characters in view of the character segmentation algorithm. Finally, according to the support vector machine and the statistical learning method, the main parameter of the kernel function is determined by the bilinear method. Construct the character classifier by one-to-many method and output the recognition result of the license plate information including Chinese characters, English and numbers. The experimental results show that the proposed method has higher accuracy.
Application of Some Chaotic Signal Processing Tools for the Diagnosis of Rotor-to-Stator Rub in Rotating Machinery

to diagnose the severity of rotorto-stator rub in rotating machinery. The method of time delay was employed to reconstruct the vibration signal obtained from numerical simulation of a Jeffcott rotor subjected to rotor-tostator rub. Numerical results showed clear correlation between the increase of rub severity with the invariant quantities, , and , investigated in this work.
Phase noise modeling in frequency dividers

Noise within frequency dividers can be an important detriment to the spectral purity of frequency synthesizers. A set of noise sources that can be used to predict the phase noise of such dividers as operating conditions vary has been developed, and values have been determined experimentally for one type of emitter-coupled logic (ECL) divider. This set of sources is shown to give useful predictions of the performance of the tested type, as well as of noise reported for other ECL dividers. <<ETX>>
NEW BICLUSTERING MODEL USING BINARY MATRIX FACTORIZATION (BMF) FOR CLUSTERING OF THE ENVIRONMENTAL PROJECT RISKS

It is commonly recognized that knowledge is the only source of core competence of Environmental Projects in the knowledge based companies, but the productivity rates of projects is always low. Clustering, as a widely used data mining approach, has been used to discover phenotypes from the raw expression data. However traditional clustering algorithms have limitations since they cannot identify the substructures of samples and features hidden behind the data. Different from clustering, biclustering is a new methodology for discovering genes that are highly related to a subset of samples. Several biclustering models/methods have been presented and used for environmental research. Based on projects characteristics, in this paper, we seek to identify factors influencing on the Environmental Projects Risks (EPR. finally, we seek to use the Binary Matrix Factorization (BMF) method for clustering of the Environmental Projects Risks (EPR). This paper will help Environmental Projects managers to implement different corresponding measures. A case study is presented where this model measures and validates at the lead and zinc Zanjan Company.
Deep Reinforcement Learning for Securing Software-Defined Industrial Networks With Distributed Control Plane

The development of software-defined industrial networks (SDIN) promotes the programmability and customizability of the industrial networks and is suitable to cope with the challenges brought by new manufacturing modes. For building more scalable and reliable SDIN, a distributed control plane with multicontroller collaboration becomes a promising option. However, as the brain of SDIN, the security of the distributed control plane is rarely considered. In addition to suffering direct attacks, each controller is also subjected to attacks propagated by other controllers because of information sharing or management domain takeover, resulting in the spread of attacks in a wider range than a single controller. Therefore, in this article, we study attacks against SDIN with distributed control plane, demonstrate their propagation across multiple controllers, and analyze their impacts. To the best of our knowledge, we are the first to study the security of SDIN with distributed control plane. In addition, since the existing defense mechanisms are not specifically designed for distributed SDIN and cannot defend it perfectly, we propose an attack mitigation scheme based on deep reinforcement learning to adaptively prevent the spread of attacks. Specifically, the novelty of our scheme lies in its ability of learning from the environment and flexibly adjusting the switch takeover decisions to isolate the attack source, so as to tolerate attacks and enhance the resilience of SDIN.
Multigigahertz TSPC Circuits in Deep Submicron CMOS

Three circuits, two dividers and one accumulator, using the true single phase clocking (TSPC) technique were constructed in a partially scaled 0.1 µm CMOS process. In the paper, the device model and the circuit design are described, and simulation and measurement results are given. Multigigahertz working frequencies are demonstrated at a circuit level by the combination of advanced CMOS technology and circuit technique.
ANALYSIS OF TENSILE STRENGTH, CRYSTALLINITY, CRYSTALLITE SIZE, AND THERMAL STABILITY OF POLYPROPYLENE JOINED BY FRICTION STIR WELDING

This paper aims to investigate the joining of polypropylene using friction stir welding (FSW). FSW parameters were the rotation speed of 620 rpm, the travel speed of 7.3 mm/min, and 13 mm/min. The tensile test was performed using a universal testing machine, and the results of the tensile test were related to the crystallite size and degree of crystallinity. X-ray diffraction (XRD) was performed to examine the crystallite size and degree of crystallinity while thermal analysis was carried out using TGA/DSC. Besides, the effect of the degree of crystallinity on the thermal stability at the weld nugget area due to travel speed is explained in this paper. The findings showed that FSW with a travel speed of 7.3 mm/min had a higher crystallite size and degree of crystallinity than that with a travel speed of 13 mm/min, because there is a fusion of crystals and also recrystallization occurs, as an effect of the difference in the length of time exposed to heat during the FSW process. From the study results, it can be seen that the FSW with a 7.3 mm/minute travel speed has a higher crystal size and degree of crystallinity compare with the use of 13 mm/minute travel speed. The reason for that, the difference in heat exposure time during FSW affects crystal fusion and recrystallization. A sample with a travel speed of 7.3 mm/min had high tensile strength because it obtains sufficient heat for a more complete joint. In terms of thermal stability, the specimen with a lower travel speed showed a higher stability level than the specimen with a higher travel speed in that of the higher degree of crystallinity.
Internal Reforming Solid Oxide Fuel Cell-Gas Turbine Combined Cycles (IRSOFC-GT): Part A— Cell Model and Cycle Thermodynamic Analysis

The aim of this work is to investigate the performance of Internal Reforming Solid Oxide Fuel Cell (IRSOFC) and Gas Turbine (GT) combined cycles.To study complex systems involving IRSOFC a mathematical model has been developed that simulates the fuel cell steady-state operation. The model, tested with data available in literature, has been used for a complete IRSOFC parametric analysis taking into account the influence of cell operative pressure, cell and stream temperatures, fuel-oxidant flow rates and composition, etc.The analysis of IRSOFC-GT combined cycles has been carried out by using the ThermoEconomic Modular Program TEMP (Agazzani and Massardo, 1997). The code has been modified to allow IRSOFC, external reformer and flue gas condenser performance to be taken into account. Using as test case the IRSOFC-GT combined plant proposed by Harvey and Richter (1994) the capability of the modified TEMP code has been demonstrated.The thermodynamic analysis of a number of IRSOFC-GT combined cycles is presented and discussed, taking into account the influence of several technological constraints. The results are presented for both atmospheric and pressurised IRSOFC.Copyright © 1998 by ASME
Do Temporal Eating Patterns Differ in Healthy versus Unhealthy Overweight/Obese Individuals?

This study examined whether the temporal patterns of energy and macronutrient intake in early and late eating windows were associated with metabolically healthy obesity (MHO) and metabolically unhealthy obesity (MUO) among non-shift workers. A total of 299 overweight/obese non-shift workers (Age: 40.3 ± 6.9 years; 73.6% women; BMI: 31.7 ± 5.0 kg/m2) were recruited in the Klang Valley area of Malaysia. The biochemical parameters were determined from fasting blood samples, whereas information on dietary intake and timing was obtained from a 7-day diet history questionnaire. The midpoint of eating was used to determine the early and late windows. Compared to MHO non-shift workers (n = 173), MUO non-shift workers (n = 126) had lower energy intake from carbohydrates and protein during the early window. In contrast, MUO participants had greater energy intake from carbohydrates and fat during the late window. Participants with unhealthy metabolic status (regardless of their chronotypes) had similar temporal patterns of energy intake characterized by smaller energy intake during the early window and greater energy intake during the late window compared with participants with healthier metabolic status. Overall, the lowest percentile of energy intake during the early window was associated with an increased risk of MUO, after adjustment for potential confounders [odds ratio (OR) = 4.30, 95% confidence interval (CI) 1.41–13.11]. The greater the energy intake during the late window, the greater the risk of MUO (OR = 2.38, 95% CI 1.11–5.13) (OR = 2.33, 95% CI 1.03–5.32) (OR = 4.45, 95% CI 1.71–11.56). In summary, consuming less energy earlier in the day and more energy and carbohydrate later in the day was associated with a greater risk of MUO. Thus, a prospective study is needed to explore the potential role of chrono-nutrition practices in modifying risk factors to delay the transition of MHO to MUO.
An Activity-Based Travel Pattern Generation Model

Author(s): Kulkarni, Anup; McNally, Michael G. | Abstract: Activity-based approaches are perhaps the most promising alternative to the current travel forecasting methodology. This paper presents a pattern generation model that can serve as a link between activity and trip-based methodologies. The model uses a clustering approach to identify groups of similar activity-travel behavior and relates them to household socioeconomic attributes. Minimally, the pattern generation model is offered as a possible replacement to the standard trip generation models. Moreover, it can serve as the core component of a proposed activity-based microsimulation model that constructs complete origin-destination tables using a wholly activity-based approach. The technique proposed clearly recognizes the complex nature of activity-travel behavior in terms of spatial and temporal constraints, household interactions and the derived nature of such behavior. An application of the model is outlined using data from the 1994 Portland activity-travel survey.
A 60-dB dynamic-range CMOS sixth-order 2.4-Hz low-pass filter for medical applications

The design and implementation of a fully integrated complementary metal-oxide-semiconductor (CMOS) sixth-order 2.4 Hz low-pass fitter (LPF) for medical applications is presented. For the implementation of large-time constants both linearized operational transconductance amplifiers with reduced transconductance and impedance scalers schemes for grounded capacitors are employed. Experimental results for the filter have shown a dynamic range (DR) of 60 dB, while the harmonic distortion components are below -50 dB. The power consumption for the filter is below 10 /spl mu/W, the power supply is /spl plusmn/1.5 V, and the active area is 1 mm/sup 2/. The filter was fabricated in a double poly double metal 0.8 /spl mu/m CMOS process.
Promoting Diversity and Inclusion in the Federal Workforce: Executive Order 13583 and Demographic Trends

President Obama's 2011 Executive Order 13583 was expected to serve as a catalyst for a coordinated government-wide initiative to promote diversity and inclusion in the federal workforce. This order reinforced the government's commitment to equal employment opportunity by “using the talents of all segments of society,” achieved by recruiting, hiring, promoting, and retaining a more diverse workforce. The order mandated the creation of a government-wide diversity and inclusion strategic plan as well as agency-specific plans. This study uses institutional theory as a lens to examine agency response to EO 13583 to articulate diversity and inclusion rationales, practices, and correlating workforce demographic trends. We examine how three federal agencies articulated diversity and inclusion practices and activities in the plans. We explore demographic workforce trends prior to, during, and after adoption of the agency diversity and inclusion plans. Together, these analyses offer evidence of varied approaches to diversity and inclusion as well as uneven progress in pursuing the letter and spirit of the order. Specifically, the articulation of agency-specific diversity goals following Executive Order 13583 does not consistently translate to enhanced workforce diversity.
Thermal, Morphological, Electrical Properties and Touch-Sensor Application of Conductive Carbon Black-Filled Polyamide Composites

Polyamide 66 (PA66) is a well-known engineering thermoplastic polymer, primarily employed in polymer composites with fillers and additives of different nature and dimensionality (1D, 2D and 3D) used as alternatives to metals in various technological applications. In this work, carbon black (CB), a conductive nanofiller, was used to reinforce the PA66 polymer in the 9–27 wt. % CB loading range. The reason for choosing CB was intrinsically associated with its nature: a nanostructured carbon filler, whose agglomeration characteristics affect the electrical properties of the polymer composites. Crystallinity, phase composition, thermal behaviour, morphology, microstructure, and electrical conductivity, which are all properties engendered by nanofiller dispersion in the polymer, were investigated using thermal analyses (thermogravimetry and differential scanning calorimetry), microscopies (scanning electron and atomic force microscopies), and electrical conductivity measurements. Interestingly, direct current (DC) electrical measurements and conductive-AFM mapping through the samples enable visualization of the percolation paths and the ability of CB nanoparticles to form aggregates that work as conductive electrical pathways beyond the electrical percolation threshold. This finding provides the opportunities to investigate the degree of filler dispersion occurring during the transformation processes, while the results of the electrical properties also contribute to enabling the use of such conductive composites in sensor and device applications. In this regard, the results presented in this paper provide evidence that conductive carbon-filled polymer composites can work as touch sensors when they are connected with conventional low-power electronics and controlled by inexpensive and commercially available microcontrollers.