Miracle-dz/UniFAR-FTUs huggingface dataset:
Ultra-High Frequency (UHF) Based Partial Discharge Measurement in Gas Insulated Switchgear (GIS)

Gas Insulated Substations (GIS) offer significant advantages over conventional Air Insulated Substations (AIS) on account of reduced space and operational efficiency. Partial discharge (PD) measurement is one of the important test in GIS to ensure its reliability during service and also to reveal defects at incipient levels. One of the methods employed for partial discharge (PD) measurement is by capturing the Ultra high frequency (UHF) signals that emanate from the partial discharge sites. The present paper discusses the measurement of partial discharges and also localization of PD source in a gas insulated bus duct assembly of EHV (Extra high voltage) class, using UHF PD detector. The corresponding PD magnitude obtained through conventional electrical method has also been reported. The study has been aimed to monitor PD during service (on-line) using the UHF method so that defects can be detected at premature levels. Necessary set-up for measurement is also discussed in the paper. This process of evaluation helps utility to make appropriate plans for maintenance schedules and ensure reliable operation of GIS.
Processing linear prediction residual signal to counter replay attacks

Replay attack is a method of using targets pre-recorded speech samples for acquiring unauthorized access to the automatic speaker verification (SV) system. This work investigates the usefulness of processing linear prediction (LP) residual signal to counter replay attacks. In detecting replay signals the major clues lie in tracing the record and playback devices characteristics that dominantly reflect at low frequency regions due to loud speaker, and at high frequency regions due to two-stage A/D conversions. Unlike speech, the spectral pattern of the impulse-like linear prediction (LP) residual signal is spread across entire frequency range, and so conjectured to be more useful. Based on the distribution nature of the mel-scale that tightly spaced in low frequency regions and reverse in inverse mel-scale, residual mel-frequency cepstral coefficients (RMFCC) and residual inverse mel-frequency cepstral coefficients (RIMFCC) features are used as the representative features. The effectiveness of these features is demonstrated on ASVspoof2017 database. The initial study is made on deciding the suitable prediction order. In terms of equal error rate (EER), RMFCC features provide the best performance of 14.57% from 20th order LP analysis and RIMFCC of 15.35% from 10th order LP analysis. These results show that residual signals effectively capture the low frequency distortions with higher order LP analysis and vice versa. The higher performance in case of RMFCC features may due to the significant distortion from loud speakers. The fusion of RMFCC and RIMFCC features further improves the performance to 10.14%, that is comparatively better than the state-of-the-art spectral centroid magnitude coefficients (SCMC) feature performance of 11.49%. Finally, the fusion of RMFCC and RIMFCC features together with SCMC provides 9.54%. These outcomes demonstrate the usefulness of processing LP residual signals to counter replay attacks.
Intuition : An Important Tool in the Practice of Nursing Review Article

Intuition is a quality that nurses have traditionally valued, but nowadays evidence-based research climate is often denigrated. Because it is difficult to investigate and quantify, intuition has tended to be seen as unreliable, unscientific and unsuitable for nursing practice. However, intuition, like caring, cannot be subjected to measurement and should not be overlooked as an important tool. Intuition is identified as a useful tool that needs to be recognized in nursing. At the same time, intuition is described as an important type of nursing knowledge and a valid way of knowing in clinical nursing practice. It is knowing something or deciding to do something without having a logical explanation. Intuition in practice has been linked to enhanced clinical judgment, effective decision making and crisis aversion. The inability to provide rationale for an action or decision makes intuition challenging for nurses to describe, explain or openly acknowledge. In the nursing literature, intuition is recognized as an important component of decision-making theories. In the literate outlines the two predominant theoretical approaches to decision making: the systematic positivistic approach and the intuitive humanistic approach. Both approaches are valuable and emphasise the need to investigate quantitatively the intuitive humanistic approach in decision making. To understand the intuitive approach to decision making, nurses need to first identify intuitive feelings and intuition use in their clinical practice. Qualitative studies demonstrate intuition use in expert decision making and label it as a source of knowledge coming from feelings, sensations and connections. Intuition is a component of decision-making models applied in nursing practice. Empirical research which requires nurses to recognize intuition and utilize it effectively in nursing practice. Department of Fundamentals of Nursing, Istanbul University, Florence Nightingale Nursing Faculty, Turkey *Corresponding author Aysel Özsaban, Research Assistant, Department of Fundamentals of Nursing, Istanbul University, Florence Nightingale Nursing Faculty, Turkey, Tel: 90(212) 440 00 00 (27134); E-mail: ayselates87@gmail.com Submitted: 02 Nov 2016; Accepted: 04 Dec 2016; Published: 08 Dec 2016
Performance & functionality of novel Subthreshold SRAM’s using low power techniques for SoC designs

Low power circuits functioning in Subthreshold were proposed in earlier seventies. Due to the wide utilization & battery operated devices models now a days has thrown some of the problems or issues to the researches. Some of them includes efficient in design, high throughput, low power, less delay & high sensitivity and so on. Keeping that in mind & growing with the need of technology this research paper describes the Subthreshold logic operation on SRAM, as SRAM is the essential element in most of the digital circuits functioning in the Subthreshold regime which leads to leakage power. In all the way the main theme of the paper is to describe the design & analysis of Subthreshold SRAM logic cells and functionality, performance is estimated by applying the input voltage less than the threshold voltage (Vgs<Vth). Analysis of novel design approaches of Subthreshold source coupled logic SRAM (SCL SRAM),GDI based SRAM(GDI SRAM) in view of static ,dynamic, total power & also rise, fall, total delay, finally power delay product(PDP). A comparison is made between the novel designs leads to advantages and applications of the novel approaches in terms of power, delay ,power delay product(PDP)
Lithium Battery SOC Estimation Based on Extended Kalman Filtering Algorithm

Battery power detection has always been the core of the battery management system of electric vehicles, and the fast and accurate estimation of charged state can guarantee the safe operation of electric vehicles. This article is based on the electric car with iron phosphate lithium-ion battery PNGV model to complete the estimate of the lithium ion battery SOC, using Matlab Simulink module and simulation of the model. And it proves that PNGV model had higher precision. This system uses the extended kalman filter algorithm to estimate the charge state (SOC) of lithium battery and give the concrete implementation steps. Experimental simulation show that using the extended kalman filtering algorithm can rapidly estimate the charged state of lithium-ion batteries, the maximum error is about 4%, the average error is around 2%, can satisfy the accuracy of the battery management system needs.
Performance Evaluation for Deploying Docker Containers On Baremetal and Virtual Machine

The current virtualization technology induces an overhead in their performance. The benefits of Linux containers led to their development and increasing its usage among administrators and developers. Docker container offers an isolated space for running the application in the containerized environment. Containers are known for starting applications in quicker time as compared to those running on baremetal or virtualized environment. For calculating the startup time of containerized applications, we are using a benchmark based on Docker containers. This benchmark is capable of calculating the startup time of Docker application running services. The services can be Apache web server, Redis, PostgreSQL, and many others. The proposed system calculates the startup time for Docker containers running the Apache web server in baremetal, and virtual machine (KVM). The test will let the users know about the performance of Docker applications in both the environments. The analysis will help them in deciding the environment for working with Docker application to obtain maximum performance. The experimental setup of the proposed system shows that running containerized application on baremetal will improve the startup time than a virtual machine. The performance on baremetal is enhanced by about 50% than a virtual machine.
Design of an Intelligent Controller for 6 Degrees of Freedom Quad Rotor UAV

Air Vehicles without human subject are as a rule, progressively utilized in the recent memory in both military and civil applications. A well-known developed stage of an UAV rotating wing is a Quad rotor. This paper proposes the design of one such Quad rotor based on PID control and Fuzzy Logic. The PID Control helps in automating the vehicle by controlling its different motions; throttle, roll, pitch and yaw respectively. The fuzzy logic here provides certain rules for actuating the four different controls. The fuzzy logic is used because it has the potential to deal effectively with high nonlinear systems and imprecise data. The use of a type of Controller makes the system modular and increases its adaptability. It presents the design and implementation of a 6 degrees of freedom control system for a quadrocopter. Further, the work can be focused upon the detailed study of each motion and the real world communication of the quad rotor with the environment.
An efficient least mean squares algorithm based on q-gradient

In this work, we propose a novel LMS type algorithm by utilizing the q-gradient. The concept of q-gradient is derived from the definition of Jacksons derivative which is also called as the q-derivative. The q-gradient based LMS algorithm results in faster convergence for q > 1 because of the fact that the q-derivative, unlike the conventional derivative which evaluates tangent, computes the secant of the cost function and hence takes larger steps towards the optimum solution. We show an important application of the proposed q-LMS algorithm in which it acts like a whitening filter. Convergence analysis of the proposed algorithm is also presented. Simulation results are presented to support our theoretical findings.
Decentralized Scheduling for Cooperative Localization With Deep Reinforcement Learning

Cooperative localization is a promising solution to the vehicular high-accuracy localization problem. Despite its high potential, exhaustive measurement and information exchange between all adjacent vehicles are expensive and impractical for applications with limited resources. Greedy policies or hand-engineering heuristics may not be able to meet the requirement of complicated use cases. In this paper, we formulate a scheduling problem to improve the localization accuracy (measured through the Cramér-Rao lower bound) of every vehicle up to a given threshold using the minimum number of measurements. The problem is cast as a partially observable Markov decision process and solved using decentralized scheduling algorithms with deep reinforcement learning, which allow vehicles to optimize the scheduling (i.e., the instants to execute measurement and information exchange with each adjacent vehicle) in a distributed manner without a central controlling unit. Simulation results show that the proposed algorithms have a significant advantage over random and greedy policies in terms of both required numbers of measurements to localize all nodes and achievable localization precision with limited numbers of measurements.
Use of Rapeseed Oil and Water Emulsion as Diesel Fuel

The necessity of using biofuels in internal combustion engines is proved. Advantages of using emulsified fuels in diesel engines are shown. The comparative analysis of physical and chemical properties of petroleum diesel fuel and rapeseed oil and water emulsion is carried out. The results of experimental research of the diesel engine running on these fuels are presented. The object of research is the diesel engine of an automotive type D-243. Research of the diesel engine was carried out on the petroleum diesel fuel and the emulsion of 90% petroleum diesel fuel and of 10 % of water. An opportunity of improving environmental characteristics of the diesel engine running on rapeseed oil and water emulsion is shown. The results showed that the use of the emulsified fuel leads to the significant reduction of the exhaust gases smoke opacity. By the high load mode the transition from petroleum diesel fuel to emulsified fuel leads to decrease of exhaust gases smoke opacity by 26-42%. By operating on emulsified fuel significant reduction of nitrogen oxides emission is noted. At the modes with high loads it makes 8-13 %. At the same time concentration of unburned hydrocarbons in the exhaust gases decreases 1.5-2.5 times. The carbon monoxide emissions growth marked by testing the diesel engine on emulsified fuel can easily be corrected by installing a catalytic converter in the engine exhaust system. In general, the carried out experimental studies have confirmed the prospects of using the rapeseed oil and water emulsion as fuel for the diesel engine.
Laughter and Smiling in 16 Positive Emotions

This study investigated the elicitation of smiling and laughter and the role of facial display regulation markers (e.g., down-regulating of a smile or laugh) in positive emotions. In a structured group conversation setting, the frequency and intensity of Duchenne and non-Duchenne smiles and laughs when telling memories of 16 positive emotions proposed by Ekman [1] were assessed. Facial responses were coded with the Facial Action Coding System (FACS [2] ) and laughter vocalizations were assessed. The results show that smiles and laughs occurred in all 16 positive emotions. Laughter occurred most often in amusement and schadenfreude (laughter occurred in 72 and 71 percent of the recalled emotion memories respectively). Also, the intensity of the smiles and laughs was higher in amusement and schadenfreude than in the other 14 positive emotions. Furthermore, down-regulated displays (i.e., including facial markers counteracting the upward action of the zygomatic major muscle) resembled Duchenne Displays in their intensity. To summarize, more insight is gained into the facial expression of positive emotions, also highlighting the role of laughter. Also, the importance of assessing regulation markers in joy displays when people are in social settings is stressed.
Uplink Training for Massive MIMO Systems Under Channel Aging

In this paper, we study the effect of the choice of frame structure on the performance of a massive MIMO system under channel aging. For this purpose, we compare the rates achievable using two popular frame structures, viz. training via lumped pilots, and training via interspersed pilots. We use Kalman filter based channel estimation to track the channel evolution. We first show that in an aging channel, the mean squared channel estimation error at a given instant is a function of the training instant and hence the user index. We then derive the deterministic equivalents of the per user achievable SINR, and use these to show that the achievable rate for any user at a given instant is a function of the training instant for the given user. Following this, we use the derived results to comment on the relative fairness of the two frame structures in question. Finally, we present numerical results to illustrate the effect of the choice of a frame structure on the fairness of a massive MIMO system under channel aging.
The relation between cigarette smoking and sleep disturbance.

BACKGROUND There is little epidemiological or clinical information on the relation between smoking and sleep disturbance, despite evidence suggestive of a relationship. The present study tested the hypothesis that cigarette smoking is associated with sleep disturbance. METHODS Survey data from 3,516 adults were collected as part of a longitudinal, epidemiologic study of sleep-disordered breathing. Symptoms of insomnia, hypersomnia, and parasomnia were assessed using diagnostic criteria from the Diagnostic and Statistical Manual of Mental Disorders (3rd ed., revised). RESULTS Among both males and females, smoking was associated with difficulty initiating sleep, and difficulty waking up. Excessive daytime sleepiness was related to smoking only for females while nightmares and disturbing dreams were related to smoking only among males. CONCLUSIONS Smoking was associated with difficulty initiating sleep and with a constellation of symptoms suggestive of sleep fragmentation. Sleep disturbance may be more prevalent among smokers due to the stimulant effects of nicotine, nightly withdrawal, an increased prevalence of sleep disordered breathing relative to nonsmokers, and/or an association with psychological disturbance. These results have important clinical and public health implications for reduction of the disease and disability associated with smoking and sleep disturbance.
Binocular maps in Xenopus tectum: Visual experience and the development of isthmotectal topography

Xenopus frogs have a prominent binocular field that develops as a consequence of the migration of the eyes during the remodeling of the head during and after metamorphosis. In the optic tectum, a topographic representation of the ipsilateral eye develops during this same period. It is relayed indirectly, via the nucleus isthmi. In the early stages of binocular development, the topographic matching of the ipsilateral input to the retinotectal input from the contralateral eye is largely governed by chemical cues, but the ultimate determinant of the ipsilateral map is binocular visual input. Visual input is such a dominant factor that abnormal visual input resulting from unilateral eye rotation can induce isthmotectal axons to alter their trajectories dramatically, even shifting their terminal zones from one pole of the tectum to the other. This plasticity normally is high only during a 3–4‐month critical period of late tadpole‐early juvenile life, but the critical period can be extended indefinitely by dark‐rearing. N‐methyl‐D‐aspartate (NMDA) receptors are involved in this process; plasticity can be blocked or promoted by chronic treatment with NMDA antagonists or agonists, respectively. Cholinergic nicotinic receptors on retinotectal axons are likely to play an essential role as well. Modifications in the polysialylation of neural cell adhesion molecule are correlated with the state of plasticity. The circuitry underlying binocular plasticity is not yet fully understood but has proved not to be a simple convergence of ipsilateral and contralateral inputs onto the same targets. © 2011 Wiley Periodicals, Inc. Develop Neurobiol 72: 564–574, 2012
The second century of Campylobacter research: recent advances, new opportunities and old problems

Purpose of review Despite the prevalence of Campylobacter jejuni and the importance of the disease, investigations into pathogenesis have been restricted because of the absence of a convenient animal model of disease. In particular it is still unclear how C. jejuni infection causes diarrhoea. Recent findings Recent developments in improved models of infection and studies on the innate immune responses have provided a deeper understanding of host–pathogen interactions. From the organism's perspective, further genomics-based information including two new genome sequences has provided much basic information, particularly relating to cell surface glycostructures. Summary Research over the last few years is starting to address the gaps in our knowledge of how this important human pathogen interacts with host cells and causes diarrhoeal disease. Further research is required for a detailed understanding of these interactions and also to develop intervention strategies to reduce the burden of C. jejuni-associated disease.
Determination of BEOL Aluminum-Copper Constitutive Equation using FEA Simulation and Response Surface Methodology

The constitutive equation model for a particular aluminum thin film deposited using Physical Vapor Deposition (PVD) process used in wafer fabrication Back End of Line (BEOL) has been determined by matching the data from experimental nanoindentation and Finite Element Analysis (FEA) simulation. The model used is a derivative of the Voce isotropic hardening model which is defined by three coefficients. The Linear Hardening Coefficient, Saturation Flow Stress and Saturation Exponent has been determined to be 21937 MPa, 135 MPa and 25 respectively.
Optimal sizing of grid connected microgrid in Morocco using Homer Pro

To support the international efforts climate change mitigation, Morocco is committed to rise renewable energy, to achieve energy saving and to mitigate Greenhouse Gas (GHG) emissions. Morocco has engaged to supply rural areas with access to electricity dependent on the use of available Renewable Energy Sources (RES) to diminish GHG emissions. Appropriate combination of generation units and storage devices will lead to optimal system design in terms of system technical feasibility and cost. In this paper, the objective is to optimize a MG sizing for rural community buildings in Grid Connected (GC) operation mode, based on technical and economic analysis. The MG under study includes Photovoltaic (PV), Wind Turbine (WT) and Diesel Generator (DG) as generation resources and Battery Bank (BB) as the storage devices. The load data are corresponded to a rural community buildings, and the solar radiation and wind speed data are corresponded to the city of Tahla, Morocco. Simulation results outline the effectiveness of the proposed approach for optimal conception of a GC-MG.
Two Receiver Relay Broadcast Channel with Mutual Secrecy

We consider mutual secrecy requirements in a two receiver relay broadcast channel, where the dedicated relay is trusted by all parties. In our scheme, the relay decodes and forwards the respective messages to their intended destinations. Coherent transmission by the transmitter and relay is achieved by employing the Marton-Marton coding technique. Double random binning is then used to provide mutual secrecy. While our encoding is irregular, the decoding at the receivers employs forward sliding windows. This improves flexibility and reduces decoding delay when compared to backward decoding. This will be welcomed by wireless engineers. The multi-block equivocation calculation also has some features of interest.
Efficient Error Recovery Scheme in Fault-tolerant NoC Architectures

This paper presents a novel online fault tolerance method for network-on-chip (NoC) interconnects targeting both permanent and transient faults. We introduce a concept of retransmission credit as a method of distinguishing between permanent and transient faults. Another concept of monitoring errors separately on two types of interconnects – inter-switch links and intra-switch input/output port paths – is also employed. The concept introduced allows more efficient routing in comparison to existing error recovery schemes. Experimental validation shows that the proposed NoC error recovery scheme utilising both the concepts delivers better or at least similar performance when compared to existing NoC error recovery schemes.