Miracle-dz/UniFAR-FTUs huggingface dataset:
Well-to-wheels energy efficiency analysis of plug-in electric vehicles including varying charging regimes

ABSTRACT Well-to-Wheels Energy Efficiency Analysis and Optimal Energy Management Strategy for Varying Electric Vehicle Operational Characteristics Ebrahim Saeidi Dehaghani Transition to electric vehicles (EVs) is already under way. EVs were demonstrated to be the most fuel economic and emission free among other propulsion technologies. Electric and plug-in hybrid electric vehicles (EVs/PHEVs) can have a large impact on greenhouse gases (GHGs) reduction, increase in fuel economy and higher fuel efficiency. This thesis seeks to investigate the Well-to-Wheels (WTW) energy efficiency analysis of Electric Vehicles (EVs) in Canada. The main idea behind this research work is to analyze step by step energy efficiency, which is one of the key factors for EVs technology acceptance. Penetration of battery electric and more electric vehicles (BEVs/MEVs) into vehicle fleet, affects load demand as well as electricity market. Smart charging of EVs can remove a lot of stress from electricity grid. Effect of home charging of EVs/PHEVs on electricity demand in the province of Quebec was analyzed. More recently, EVs have been looked at as distributed sources of energy, whereby they could back up the power grid during critical high demand periods. With the help of an on-board battery pack, EVs can act as distributed generators and feedback energy to the AC grid. However, efficiency of energy conversion could become an issue in this power flow. Hence, in this thesis stage-by-stage efficiency of vehicle-to-grid (V2G) power flow was evaluated. In addition, feasibility of using EVs in international islanding to sustain the local grid in the event of an emergency was analyzed.
Novel p-Median-based Formulations for Maximizing Coverage in 5G/6G Wireless Networks

In this paper, we consider the problem of maximizing user coverage for 5G/6G wireless communication networks subject to facility location and radial distance constraints. For this purpose, we propose two novel mixed-integer linear programming models which are constructed based on a classical combinatorial optimization problem referred to as the p-Median problem in the literature. In the classical p-Median problem, one seeks to find a subset of $p$ facilities in order to assign users to them while minimizing the total distance costs between users and facilities. The novelty of our proposed models is the consideration of non-overlapping radial distance constraints between antennas (facilities). In particular, our first model maximizes the total number of users. Whilst the second one includes in the objective function the maximization of users and the minimization of the number of antennas to be activated. So far we solve instances with up to 100 antennas and 1000 users with the Gurobi solver. Our preliminary numerical results indicate that the first model is harder to solve to global optimality than the second one. The numerical results obtained also show that the increase in the number of radius allowed provides more flexibility and accuracy to the model, although at a higher computational cost. Finally, we highlight that the proposed models can be used for future developments of 5G/6G networks in order to improve coverage.
Silicon-micromachined gas chromatography system used to separate and detect ammonia and nitrogen dioxide. I. Design, fabrication, and integration of the gas chromatography system

A miniature gas chromatography (GC) system was designed and developed using silicon micromachining and integrated circuit (IC) processing techniques. The micromachined gas chromatography (MMGC) system is composed of a miniature sample injector incorporating a 10-/spl mu/m-long sample loop; a 0.9-m-long, rectangular-shaped (300 /spl mu/m width and 10 /spl mu/m height) capillary column coated with a 0.2-/spl mu/m-thick copper phthalocyanine (CuPc) stationary phase, and a dual-detector scheme based upon a CuPc-coated chemiresistor and a 125-/spl mu/m-diameter thermal conductivity detector (TCD) bead. Silicon micromachining was employed to fabricate the interface between the sample injector and the GC column, the GC column itself, and the dual-detector cavity. A novel processing technique was developed to sublime a homogeneous CuPc stationary-phase coating on the GC column walls. The complete MMGC system package is approximately 4 in, square and 100 mils (2.5 mm) thick, [96]. >
Hankel Matrix Completion Approach for High-resolution ISAR Imaging with Sparse Aperture

Inverse synthetic aperture radar (ISAR) imaging is very challengeable when facing with sparse aperture (SA). Traditional compressive sensing (CS) methods handles the SA imaging problem using sparse representation, but will cause model mismatch inherently. In this paper, a Hankel matrix completion (HMC) approach is proposed for SA ISAR imaging, which can effectively enhance the imaging performance with grid-less technique. The Hankel matrices are constructed from the SA echo in each range bin. After the low-rank property is proved, an MC method based on an augmented Lagrange multiplier (ALM) solution is used to reconstruct the cross-range profile. The proposed method based on the low-rank constraint can avoid the presupposition of over complete basis, thus effectively overcoming the off-grid effect of CS methods. The robustness and effectiveness are further vali-dated using experimental analysis using measured data.
Inf4Edge: Automatic Resource-aware Generation of Energy-efficient CNN Inference Accelerator for Edge Embedded FPGAs

Convolutional Neural Networks (CNN) have achieved great success in a large number of applications and have been among the most powerful and widely used techniques in computer vision. CNN inference is very computation-intensive which makes it difficult to be integrated into resource-constrained embedded devices such as smart phones, smart glasses, and robots. Along side inference latency, energy-efficiency is also of great importance when it comes to embedded devices with limited computational, storage, and energy resources. Embedded FPGAs, as a fast and energy-efficient solution, are one of widely used platforms for accelerating CNN inference. However, the difficulty of programming and their limited hardware resources have made them a less attractive option to the users. In this paper, we propose Inf4Edge, an automated framework for designing CNN inference accelerator on small embedded FPGAs. The proposed framework seamlessly generates a CNNs inference accelerator that fits the target FPGA using different resource-aware optimization techniques. We eliminate the overhead of transferring the data to/from FPGA back and forth which introduces latency and energy consumption. To avoid the data transfer overhead, we keep all of the data on the FPGA on-chip memory which makes the generated inference accelerator faster and more energy-efficient. Given a high-level description of the CNN and a data set, the framework builds and trains the model, and generates an optimized CNN inference accelerator for the target FPGA. As a case study, we use 16-bit fixed-point data in the generated CNN inference accelerator on a small FPGA and compare it to the same software model running on the FPGA's ARM processor. Using 16-bit fixed-point data type results in ~ 2% accuracy loss in the CNN inference accelerator. In return, we get up to $15.86\times$ speedup performing inference on the FPGA.
Wideband folded‐patch antennas fed by L‐shaped probe

Simple folded‐patch antennas fed by an L‐shape probe are designed and studied experimentally. This simple antenna structure with thick air substrate attains a projection‐length reduction of about 30% with reference to the conventional half‐wave patch antenna. This antenna attains an impedance bandwidth of 35% and a gain of 6 dBi. © 2005 Wiley Periodicals, Inc. Microwave Opt Technol Lett 45: 352–355, 2005; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/mop.20821
Special Issue: A decade of social media elections – a longitudinal and cross-national perspective

In this article, we reconstruct the academic discourse surrounding social media and elections in an Italian context. We follow Neumayer and Rossi’s conceptualization of academic discourse concerning political protest and digital technology as constructed out of three components: (a) the social phenomena under investigation, (b) technological development, and (c) methods and techniques. In the context of social media and elections, these three components may be identified as (a) the research questions that researchers seek to answer, (b) the social media platforms and data used for the analysis, and (c) the methods adopted to analyze the data. While these three dimensions are deeply intertwined, we argue that, when analyzed independently, it is possible to better see both the longitudinal evolution of each dimension and their interdependencies.
A 0.6‐V high reverse‐isolation through feedback self‐cancellation for single‐stage noncascode CMOS LNA

In many designs, a low supply voltage is selected for efficient use of power. However, this often leads to low reverse‐isolation which is critical to the RF front–end circuits and particularly to the low‐noise amplifier (LNA). In this letter, a fully integrated differential low‐voltage CMOS LNA with high reverse‐isolation is presented. This LNA makes use of the single‐stage noncascode structure and the capacitive cross‐coupling (CCC) technique. The CCC technique has been utilized in many LNA designs. However, in all of the reported works using CCC, the CCC technique was mainly used to improve the noise figure (NF), not the reverse‐isolation. The poor reverse‐isolation problem in single‐stage noncascode structure has never been analyzed in the capacitive cross‐coupling cascaded low noise amplifier (CCCLNA). This work shows a novel analysis on the feedback self‐cancellation mechanism to improve the reverse‐isolation. Other analyses on input matching, gain and NF were also performed to show the feasibility of using CCC technique for the low‐voltage LNA as well as the advantages of the CCCLNA over the conventional common‐source and common‐gate (CG) LNA. The LNA consumes only 0.5 mW from 0.6 V supply voltage. It achieves a gain of 14 dB and a NF of 3.55 dB. © 2011 Wiley Periodicals, Inc. Microwave Opt Technol Lett, 54:374–379, 2012; View this article online at wileyonlinelibrary.com. DOI 10.1002/mop.26542
Wing Morphology of Some Insects

This paper describes detailed wing morphology of some kinds of insects. The structural properties of dragonfly, fly, and mosquito wings were studied. Microscopic observations on the insect wings were examined with a scanning electron microscope. The surface roughness of the insect wings was measured by a three-dimensional, optical shape measuring system. The roughness distribution on the wing surface was presented for some kinds of insects. Some functional principles underlying insect wing design were revealed by the measurements of surface roughness and microscopic observations.
Situation relatives: Deriving causation, concession, counterfactuality, condition, and purpose

Building on previous work on the syntax and semantics of subordinate clauses, Arsenijević (2006) argues that all subordinate clauses are derived by a generalized pattern of relativization. One argument in the clause is abstracted, turning the clause into a predicate over the respective type. This predicate combines with an argument of that type in another expression and figures as its modifier. The traditional taxonomy of subordinate clauses neatly maps onto the taxonomy of arguments – from the arguments selected by the verb to the temporal argument, or the argument of comparison. One striking anomaly is that five traditional clause types – conditional, counterfactual, concessive, causal, and purpose clauses – are best analyzed as involving abstraction over the situation argument. In this paper, I present a situation-relative analysis of the five types of subordinate clauses, where their distinctive properties range in a spectrum predicted by their compositional makeup. I argue that they all restrict the situation argument selected by a speech act, attitude, or content predicate of thematrix clause, and hence effectively restrict this predicate. This gives the core of their meaning, while their differences are a matter of the status of an implication component common for all five types, the presupposition of truth for the subordinate and matrix clause, and an implicature of exhaustive relevance of the former. Predictions of the analysis are formulated, tested, and confirmed on data from English and Serbo-Croatian.
FRACTAL FUNCTIONS OF EXPONENTIAL TYPE THAT IS GENERATED BY THE Q ∗ 2 -REPRESENTATION OF ARGUMENT

We consider function f which is depended on the parameters 0 < a ∈ R , q 0 n ∈ (0; 1) , n ∈ N and convergent positive series v 1 + v 2 + . + v n + . , deﬁned by equality f ( x = ∆ Q ∗ 2 α 1 α 2 .α n . ) = a ϕ ( x ) , where α n ∈ { 0 , 1 } , ϕ ( x = ∆ Q ∗ 2 α 1 α 2 .α n . ) = α 1
Multirate Control of Takagi-Sugeno Fuzzy System

In this paper, a new dual-rate digital control technique for the Takagi-Sugeno (T-S) fuzzy system is suggested. The proposed method takes account of the stabilizablity of the discrete-time T-S fuzzy system at the fast-rate sampling points. Our main idea is to utilize the lifted control input. The proposed approach is to obtain the dual-rate discrete-time T-S fuzzy system by discretizing the overall dynamics of the T-S fuzzy system with the lifted control, and then to derive the sufficient conditions for the stabilization in the sense of the Lyapunov asymptotic stability for this system. An example is provided for showing the feasibility of the proposed discretization method.
PILOT STUDY OF TRANEXAMIC ACID IN CASES OF PPH IN BANARAS

Aims and Objectives: To rationalize the use of Tranexamic Acid in postpartum haemorrhage through prospective randomised trial. To know the mechanistic aspect of Tranexamic Acid in PPH and mechanism of action of Tranexamic Acid in myometrium as the experimental part of the study. It is due to this hypothesis (myometrial action of TXA) we are looking at the mechanistic aspect of TXA in cases of PPH. PPH is best controlled by uterine contraction, coagulation has a little role to play. Then the postulated hypothesis is TXA effective in PPH due to it’s action on the myometrium due to some inflammatory mediators or action on the receptors (direct/indirect)? If it acts on the myometrium then it is a drug of choice for PPH. Methods: We decided to a do a pilot study in both the clinical arm and experimental arm till we got the support from ICMR. In the study group of clinical arm (case group) 1gram (10ml) of Tranexamic Acid was given slowly intravenously over 5 minutes (30 minutes before the LSCS). In the control group Oxytocin bolus and Oxytocin infusion was administered but TXA was not given, 10ml of Normal Saline will be injected instead. The quantity of blood loss (ml) was estimated. Haemoglobin was estimated before the operation and 48hrs after the Caesarean section. Results: In this pilot study a total of 25 patients were included. The age range of the participants was 2229 years. 13 pregnant mothers were primigravida and 12 were multigravida. The estimated blood loss was approximately 350ml in the maximum range among 25 patients (abdominal swabs 211 ml + suction apparatus 139 ml). This is far below the allowed blood loss in Caesarean section (1000 ml). Only two patients (2/25) needed administration of Prostaglandin F2 alpha to achieve haemostasis. Duration of surgery was between 45 minutes-60 minutes with no major complications. Postoperative Haemoglobin estimation was not below 10 grams in any of the patients. In these preliminary experiments we were able to record the uterine contractions in these non-pregnant human uterine tissues. We observed spontaneous uterine contractions with a frequency of 0.3 to 0.5/min and developed force in the range of 10-50 mg/g tissue (mean = 25 ± 5.8 mg/g). We aim to record stimulated and unstipulated pregnant myometrial contractions in the same way. Conclusions: Obstetric haemorrhage is a dire emergency which challenges almost every Obstetrician. There are constant efforts to manage it better by developing newer Medical, Surgical or Radiological methods. Existing drugs (Oxytocin, Methyl Ergometrine, Prostaglandin and Misoprostol are quite effective but they have their side-effects/cost/storage requirements/half-life. There are situations when PPH does not respond to any medication. Preliminary clinical study shows encouraging results of role of TXA in Postpartum haemorrhage. The estimated blood loss is relatively low and Haemoglobin level are also within reasonable limit. Once funded, we will complete the study with larger sample size and will have better data to formulate a guideline which will help community at a large.
THE ESTIMATION OF SHOULDER REGULARITY IN TOP ATHLETES BY DETERMINING THE SHOULDER ANGLE AND THORACAL ANGLE IN THE IMAGEJ DIGITAL PROGRAM

The research was conducted at the Faculty of Sport and Physical Education in Nis and during the regular athletic trainings of the Athletic Association of Serbia, on a group of athletes which consisted of 26 male individuals with top results in particular disciplines. The determination of the shoulder angle (SA) was carried out between the line that connects the acromial point at the basis of the neck and the horizontal axis on both left and right side; the thoracic angle was determined between the acromial distance and the line that connects the acromial point with the umbilicus on both the left and right side. The ImageJ program was used on the set of digital photographs in the frontal aspect of the participants. The mean value of the SA on the left and right side in top athletes is in accordance with the anthropometric standards. There is no statistically significant difference in the angle values among the short, medium and long distance runners. If separate values of the angles are observed, the most regular position of the shoulders can be found among jumpers and short track runners, and the most irregular one in pitchers (disc and ball). The higher or lower SA changes the TA on the corresponding side so an irregular angle is formed which originates when the acromial points are joined with the umbilicus. The method applied in measuring the angles, the ImageJ digital program, is simple, precise and objective and it can be used in the research of anthropometric parameters.
IMPACT OF MICRONUTRIENTS BORON AND IRON APPLICATION ON MORPHOLOGICAL, BIOCHEMICAL ATTRIBUTES IN TOMATO

An experiment was conducted to find out the response micronutrients application on morphological, biochemical attributes in variety Punjab chhuhara of Tomato. The treatments consisted of boron, iron, combination and control. All the treatments resulted in improvement of plant growth characteristics viz. plant height, Total leaf area, Total dry matter yield, net assimilation rate chlorophyll content total carotenoids, total protein, sugar content, nitrate reductase activity, and proline content in the variety. Growth, biochemical parameters and yield attributes of tomato was significantly improved by the application of boron and iron either individually or in combination up to different concentrations. The plant height was found to be significantly reduced under depleted iron combined with higher boron (50 mM). NR activity and toatal sugar content increases with increase in boron concentration with different iron levels. The treatment records maximum value for total sugar at pre-flowering stage with B1F2, i.e., 9.66 % increase over control at flowering and post-flowering stages both. The results regarding NAR well explains the role of B for efficient sink-source relationship in case of tomato, which on the one hand improved total leaf area and on the other hand accumulated optimum dry matter in respect to control
MMNet: Multimodal Fusion via Mutual Learning Network for Fake News Detection

The rapid development of social media pro-001 vides a hotbed for the dissemination of fake 002 news, which misleads readers and causes nega-003 tive effects on society. We observe that a large 004 amount of news contains images in addition 005 to texts. Existing works on multimodal fake 006 news detection conduct multimodal fusion by 007 simple concatenating or co-attention networks, 008 which is insufficient to fuse the multimodal 009 information effectively. Considering that peo-010 ple judge news by alternatively exploring text-011 oriented and vision-oriented views, we propose 012 a novel mutual learning based model MMNet to 013 enhance the multimodal fusion for improving 014 fake news detection. Additionally, in MMNet, 015 we design a new multimodal fusion block to 016 not only capture inter-modality interactions but 017 also extract critical features for fake news de-018 tection. Extensive experiments on two public 019 real datasets demonstrate that MMNet better 020 captures the inter-dependencies of multimodal 021 information, and outperforms state-of-the-art 022 methods. 023
Base Station Switching Based on Traffic Load Analysis

A B S T R A C T Cell zooming is a promising technology to assure the optimized utilization of the resources. It is designed to save the energy consuming by base stations by keeping the quality of services. Centralized algorithm is a very basic to understand the working of cell zooming techniques. The paper deals with switching the base stations that rely completely on traffic load analysis.
Stiff Columns as Liquefaction Mitigation Measure for Retrofit of Existing Buildings

In this paper, ground reinforcement with jet grouted columns under shallow foundations of existing buildings was analysed using numerical modelling. This study is related with ground reinforcement by installing stiff jet grouted columns around the shallow foundations of existing building when the foundation soil is liquefied during an earthquake. The isolated shallow square footing pad supporting a typical simple frame structure was constructed on the reinforced ground with stiff jet grouted column rows at the shallow depth from the ground surface. This soil-structure system was modelled and analyzed as plane-strain using the FLAC (Fast Lagrangian Analysis of Continua) 2D dynamic modelling and analysis software. The results showed that liquefaction-induced large settlement of shallow foundation of existing building can be reduced to tolerable limits by applying ground reinforcement with continuous rows vertical jet grouted columns adjacent to footing pad.
The Effects of Macroprudential and Monetary Policy Shocks in BRICS economies

This paper examines the macroeconomic effects of the macroprudential and monetary policy shocks, in a framework where the policies target both the price and financial stability objectives. I employ the system-generalised method of moments (system-GMM) technique in a dynamic panel data model, over the 1990-2016 period. The study uses the novel integrated macroprudential policy dataset (iMaPP) in the context of the five major emerging market economies: Brazil, Russia, India, China and South Africa (BRICS). The results indicate that a contractionary monetary policy shock eliminates the excessive growth of credit and house prices but increases the price levels (price puzzle). The presence of a price puzzle after a contractionary monetary policy shock indicates that there is a trade-off between the financial stability and price stability objectives. Similarly, the impulse response function analysis reveals the presence of a negative correlation between the financial variables and output, after a contractionary macroprudential policy shock. Overall, the empirical findings suggest that there is a policy conflict when the policies respond to additional objectives beyond their primary targets. It is therefore beneficial for each policy to focus on its primary objective while considering the spillover effects of the other policy. JEL Classification: E58, E61, G28