Miracle-dz/UniFAR-FTUs huggingface dataset:
Reliability of graphene as charge storage layer in floating gate flash
 memory

This study aims to investigate the memory performances of graphene as a charge storage layer in the floating gate with difference doping concentration of n-channel and p-channel substrates using Silvaco ATLAS TCAD Tools. The simulation work has been done to determine the performance of flash memory in terms of memory window, P/E characteristics and data retention and have been validated with the experimental work done by other researchers. From the simulation data, the trend of memory window at low P/E voltage is nearly overlapped between simulation and experimental data. The memory window at ±20V P/E voltage for n-channel and p-channel flash memory cell are 15.4V and 15.6V respectively. The data retention for the n-channel flash memory cell is retained by 75% (from 15.4V to 11.6V) whereas for the p-channel flash memory cell is retained by 80% (from 15.6V to 12.5V) after 10 years of extrapolation with -1/1V gate stress which shows that p-channel flash memory cell demonstrates better data retention compared to n-channel flash memory cell.
Rapid synthesis and characterization of leaf-like zeolitic imidazolate framework Sintesis cepat dan pencirian kerangka seperti daun imidazolat zeolitik

A two-dimensional zeolitic imidazolate framework with a leaf-like structure (ZIF-L) was synthesized in aqueous solution at room temperature with a molar ratio of Zn+2/Hmim (1: 8). Various triethylamine (TEA) concentrations were also used for the rapid production of ZIF-L. Different characterization techniques like X-ray diffraction (XRD), field emission scanning electron microscopy (FESEM), transmission electron microscopy (TEM) and thermogravimetric analysis (TGA) were performed to investigate the effect of base type additive triethylamine (TEA) on the crystal morphology, crystallinity, particle size and thermal stability of ZIF-L particles. From the experimental results, it was found that ZIF-L with a particle size of 5.3 μm was formed at TEA/total mole ratio of 0, but particle size was decreased when TEA/total mole ratio was increased up to 0.0003. The smallest ZIF-L particles obtained were 3 μm that showed excellent thermal stability. It can be concluded that this promising synthesis method with base-type additive would provide the new insights in the development of ZIFs materials in economical ways. © 2018, Malaysian Society of Analytical Sciences.
Genetic algorithms for the vehicle routing problem

The Vehicle Routing Problem (VRP) is one of the most challenging combinatorial optimization tasks. This problem consists in designing the optimal set of routes for fleet of vehicles in order to serve a given set of customers. Evolutionary algorithms are general iterative algorithms for combinatorial optimization. These algorithms have been found to be very effective and robust in solving numerous problems from a wide range of application domains. This problem is known to be NP-hard; hence many heuristic procedures for its solution have been suggested. For such problems it is often desirable to obtain approximate solutions, so they can be found fast enough and are sufficiently accurate for the purpose. In this paper we have performed an experimental study that indicates the suitable use of genetic algorithms for the vehicle routing problem.
Transmission And Reception With Multiple Antennas Theoretical Foundations

Thank you very much for reading transmission and reception with multiple antennas theoretical foundations. Maybe you have knowledge that, people have search numerous times for their chosen readings like this transmission and reception with multiple antennas theoretical foundations, but end up in harmful downloads. Rather than reading a good book with a cup of coffee in the afternoon, instead they are facing with some infectious bugs inside their desktop computer.
Intelligent Online Dynamic detect and Data Processing System for Electric machine of Washing-Machine

This system realizes intelligent online dynamic detect and data processing for electric machine of washing-machine,using Distributed Control System,realizes the online dynamic detect of performance parameter:80V low voltage startup,286V insulation be-tween circles,empty load 220V running,stop-rolling,bear voltage,yawp,and so on,and could be show or statistics,otherwise,the system mining the data of Electric machine detected by K-Cluster arithmetic basic on clustering,analyse the work position that easy trouble on the rules of data,offer the grounds for effect management,improve production efficiency and product quality.
Magnetic resonance imaging of oxygen microbubbles

Oxygen loaded microbubbles are being investigated as a means of reducing tumour hypoxia in order to improve response to cancer therapy. To optimise this approach, it is desirable to be able to measure changes in tissue oxygenation in real-time during treatment. In this study, the feasibility of using magnetic resonance imaging (MRI) for this purpose was investigated. Longitudinal relaxation time (T1) measurements were made in simple hydrogel phantoms containing two different concentrations of oxygen microbubbles. T1 was found to be unaffected by the presence of oxygen microbubbles at either concentration. Upon application of ultrasound to destroy the microbubbles, however, a statistically significant reduction in T1 was seen for the higher microbubble concentration. Further work is needed to assess the influence of physiological conditions upon the measurements, but these preliminary results suggest that MRI could provide a method for quantifying the changes in tissue oxygenation produced by microbubbles during therapy.
α-In2Se3 Nanoflakes Modulated by Ferroelectric Polarization and Pt Nanodots for Photodetection

α-In2Se3 is an interesting two-dimensional (2D) van der Waal s(vdW) ferroelectric material with simultaneous intercorrelated in-plane and out-of-plane polarization, and its bandgap is only about 1.3–1.4 eV, enabling the possibility of ultralow-power nanophotodetectors. However, few researchers focus on the relationship between the ferroelectric polarization and photoresponsivity for α-In2Se3 based photodetectors, and finding ways to improve the on/off current ratio. In this report, α-In2Se3 nanoflakes based planar devices were fabricated. We have demonstrated that the ferroelectric polarization has a great influence on the response time and on/off current ratio, and discovered that the Pt nanodots sputtered on the α-In2Se3 surface could enhance the on/off current ratio to 2 × 109%. The performance of α-In2Se3 based planar device is very competitive comparing with the similar nanophotodetectors. All these may provide an effective way to improve the performance of nanophotodetectors, and highlight the poten.
Organic Semiconductor/Polymer Blend Films for Organic Field‐Effect Transistors

The development of low‐cost printed organic electronics entails the processing of active organic semiconductors (OSCs) through solution‐based techniques. However, the preparation of large‐area uniform and reproducible films based on OSC inks can be very challenging due to the low viscosity of their solutions, which causes dewetting problems, the low stability of OSC polymer solutions, or the difficulty in achieving appropriate crystal order. To circumvent this, a promising route is the use of blends of OSCs and insulating binding polymers. This approach typically gives rise to films with an enhanced crystallinity and organic field‐effect transistors (OFETs) with significantly improved device performance. Recent progress in the fabrication of OFETs based on OSC/binding polymer inks is reviewed, highlighting the main morphological and structural features that play a major role in determining the final electrical properties and some future perspectives. Undoubtedly, the use of these types of blends results in more reliable and reproducible devices that can be fabricated on large areas and at low cost and, thus, this methodology brings great expectations for the implementation of OSCs in real‐world applications.
Application of Parallel Clustering Algorithms for Big Data in the Division of Stock

For the operating performance of listed corporations reflects the value of stock investment to a certain extent, financial index reflecting the operating performance of listed corporations was taken as the evaluation index of stock investment value, and for the first time the parallel clustering algorithms for big data both K-means and fuzzy K-means of Mahout were used to cluster nearly 2 600 stock of China’s A shares market according to their financial index, afterwards the clustering results of these two algorithms under different distance metrics were compared. Experimental results show that the clustering quality of K-means algorithm adopting Tanimoto distance metric is the best. Therefore, this result can be used as the final result of the division of stock, which can provide a reference for the investment decision.
SEARCH SPECIFIC DOMAIN BY A MODEL OF RANKING

With the rapid development in the technology there is a large number of users oriented search engine. Therefore there is a problem with the search based aspect because there is a heavy traffic related to the search based scenario. Therefore implementing a wide oriented methods for the effective retrieval of the data it is a complex oriented task where there is a complexity in the system take place therefore for the search based scenario in terms of the retrieval is a huge time consuming process respectively. Here in order to control the flow of the traffic and effectively utilize the search engine based approach a new technique is designed in such a fashion where it overcomes the drawbacks of the existing techniques and it is a huge challenge for the present system for the effective implementation of the system respectively. Here the implementation of the algorithm by the name of adaptation ranking based on machine oriented supported vectors respectively. Where the old retrieval method can be transformed into the new domain where the performance is effective followed by the reduced computational complexity oriented phenomena respectively. Here the present system mainly interested in the retrieval of the data in terms of the predictive analysis rather than the entire study of the system. Here the similarity based ranking in the sequential order is set by the machine oriented support based phenomena respectively. Where the retrieval performance is got improved. A lot of the experiments have been conducted on the present system where the performance evaluation takes place in order to reduce the traffic based criteria between the users and make the system effective.
Snap-Through Bilayer Microbeam

In this paper, we describe our theoretical investigations of snap-through bilayer microbeams. We use a mathematical model that we devised to investigate the nonmonotone dependence of the vibrational frequency of such beams on temperature. The reader can find information about the fabrication and experiments we used to validate this model in [6]. We describe the fundamental physical difference between buckling and snap-through of a microbeam. We investigate parameters that are critical in the design of snap-through bilayer microbeam for practical purposes. We conclude that the thermal snap-through bilayer microbeam is a better candidate in many applications than a thermally induced buckling microbeam of similar design.
Modern Educational Dance

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A comparative environmental impact analysis of asphalt mixtures containing crumb rubber and reclaimed asphalt pavement using life cycle assessment

ABSTRACT Recently, the reduction of the environmental burdens related to highway infrastructures has been in the spotlight. Within this context, the use of recycled materials in bituminous mixtures for road pavement construction and maintenance has the potential to mitigate the excessive use of non-renewable resources. Nevertheless, the material consumption is only one of the aspects that affects the sustainability of an infrastructure. Other relevant aspects related to environmental issues should be considered. The objective of this work is to evaluate the potential environmental impacts of asphalt mixtures containing crumb rubber (CR) (vulcanised or devulcanised) and reclaimed asphalt pavement (RAP) assuming different Degree of binder Activation (DoA) of the aged binder by means of a life cycle assessment (LCA). The results show that the small amount of CR used for bituminous mixtures application does not justify all the additional consumption of resources and emissions associated with its treatment. These results are explained by the higher environmental impacts stemming from the treatment of the rubber and the higher amount of bitumen employed in the mixture. In turn, for mixtures containing RAP the analysis revealed an improvement in the score of all the environmental indicators considered.
Identification and characterisation of delamination damage in composites utilising embedded optical strain gauges

With increased use of fibre reinforced plastics throughout many industries, the use of embedded sensors is of key interest. Typically formed through layering glass or carbon fibres within a polymer matrix, smart structures capable of self-monitoring become a possibility with the aid of optical fibre strain gauges, specifically fibre Bragg gratings. As these sensors may be multiplexed to produce a distributed sensor array within a structure, this presents pathway towards undertaking non-destructive evaluation of structures persistently and in real time. This paper demonstrates the ability of optical strain gauges to detect delamination damage in beam specimens composed of unidirectional carbon fibre reinforced plastics. By embedding optical fibres with fibre Bragg gratings into beams at the point of fabrication, specimens are produced with distributed strain gauge arrays within the structure. Analytical models for non-destructive evaluation are proposed for detection and characterisation of delamination damage in statically and dynamically loaded beams. Through a series of tests, the proposed analytical models are tested and found to positively identify and locate damaged regions while providing an indicator of damage severity.
Experimental Implementation and Theoretical Investigation of a Vanadium Dioxide Optical Filter for Bit Error Rate Enhancement of Enhanced Space Shift Keying Visible Light Communication Systems

Visible Light Communication (VLC) systems use light-emitting diode (LED) technology to provide high-capacity optical links. The advantages they offer, such as the high data rate and the low installation and operational cost, have identified them as a significant solution for modern networks. However, such systems are vulnerable to various exogenous factors, with the background sunlight noise having the greatest impact. In order to reduce the negative influence of the background noise effect, optical filters can be used. In this work, for the first time, a low-cost optical vanadium dioxide (VO2) optical filter has been designed and experimentally implemented based on the requirements of typical and realistic VLC systems in order to significantly increase their performance by reducing the transmittance of background noise. The functionality of the specific filter is investigated by means of its bit error rate (BER) performance estimation, taking into account its experimentally measured characteristics. Numerous results are provided in order to prove the significant performance enhancement of the VLC systems which, as it is shown, reaches almost six orders of magnitude in some cases, using the specific experimental optical filter.
A multiple-beam CLEAN for imaging intra-day variable radio sources

The CLEAN algorithm, widely used in radio interferometry for the deconvolution of radio images, performs well only if the raw radio image (dirty image) is, to good approximation, a simple convolution between the instrumental point-spread function (dirty beam) and the true distribution of emission across the sky. An important case in which this approximation breaks down is during frequency synthesis if the observing bandwidth is wide enough for variations in the spectrum of the sky to become significant. The convolution assumption also breaks down, in any situation but snapshot observations, if sources in the field vary significantly in flux density over the duration of the observation. Such time-variation can even be instrumental in nature, for example due to jitter or rotation of the primary beam pattern on the sky during an observation. An algorithm already exists for dealing with the spectral variation encountered in wide-band frequency synthesis interferometry. This algorithm is an extension of CLEAN in which, at each iteration, a set of N “dirty beams” are fitted and subtracted in parallel, instead of just a single dirty beam as in standard CLEAN. In the wide-band algorithm the beams are obtained by expanding a nominal source spectrum in a Taylor series, each term of the series generating one of the beams. In the present paper this algorithm is extended to images which contain sources which vary over both frequency and time. Different expansion schemes (or bases) on the time and frequency axes are compared, and issues such as Gibbs ringing and non-orthogonality are discussed. It is shown that practical considerations make it often desirable to orthogonalize the set of beams before commencing the cleaning. This is easily accomplished via a Gram-Schmidt technique.
Tuning the Electrical Properties of Electrospun Nanofibers with Hybrid Nanomaterials for Detecting Isoborneol in Water Using an Electronic Tongue

The presence of contaminants in water is a subject of paramount importance nowadays, which can make water improper to human consumption even when these contaminants are present at very low concentrations, causing health issues and economic losses. In this work, we evaluated the performance of nanocomposites based on nylon 6,6/chitosan electrospun nanofibers modified by cellulose nanowhiskers combined with functional materials like silver nanoparticles, gold nanoparticles, and reduced graphene oxide to be used as sensing layers of an electronic tongue (e-tongue) to detect Isoborneol. This compound, found in some plants and essential oils, is used as a natural repellent and also to produce many other chemicals. Additionally, its chemical structure is related to that of 2-methylisoborneol, a critical pollutant in aqueous media. The synergism between the nanomaterials combined with electrospun nanofibers could be verified by the enhancement of the charge transference ability. Additionally, electrical capacitance data measured with the impedimetric e-tongue were treated by Principal Component Analysis (PCA), and revealed the sensing system was able to discriminate samples contaminated with Isoborneol at nanomolar concentrations. Moreover, the electronic tongue system could detect Isoborneol in real water samples under different concentrations.
Review of Methods of Combined Orientation of Photogrammetric and Laser Scanning Data

Data Abstract The objective of the paper is to review the state of the art of analytical methods of integration of photogrammetric and laser scanning data which is an important scientific and practical issue. Basing on the conclusions included in previous studies, it can be observed that the analytical integration of photogrammetric and laser scanning data is an interesting area of research, especially in case of absolute orientation of images and point clouds in a sequential or one-stage adjustment process. The results of the state-of-the-art analysis are shown according to four division criteria: method of registration, workflow stage, data capture technology and calculation order. After presenting all aspects of the problem, the author proposes the two-step classification of variants of data analytical integration based on order of orientation calculation and methods of
The Tremblay–Turbiner–Winternitz system on spherical and hyperbolic spaces: superintegrability, curvature-dependent formalism and complex factorization

The higher order superintegrability of the Tremblay–Turbiner–Winternitz system (related to the harmonic oscillator) is studied on the two-dimensional spherical and hyperbolic spaces, Sκ2? > (κ > 0) and Hκ2? > (κ < 0). The curvature κ is considered as a parameter and all the results are formulated in explicit dependence on κ. The idea is that the additional constant of motion can be factorized as the product of powers of two particular rather simple complex functions (here denoted by Mr and Nϕ). This technique leads to a proof of the superintegrability of the Tremblay–Turbiner–Winternitz system on Sκ2? > (κ > 0) and Hκ2? > (κ < 0), and to the explicit expression of the constants of motion.
Study on Tracking Operations Between Trains of Different Block Modes and Simulation System

This paper introduces different signal block modes and the method which was used to calculate tracking intervals between trains, and establishes simulation system for multi-train tracking. A case was designed for analysis. In the case, based on the simulation of tracking operations of two trains under the modes of fixed-block, moving-like block, and moving block, the paper analyses effects of tracking operations of different block modes, and checks the minimal tracking intervals between trains with simulation system. Results of different signal block modes with the same time interval, and calculated results of minimal tracking intervals between trains of the three modes are given. This system is able to a reference for the researchers and designers who work in the field of urban railway safe intervals and carrying capacity study.
Study of high-mobility thin films containing highly crystalline single-walled carbon nanotubes

While data from various devices as Internet of Things (IoT) are scattered and isolated as silos at present, some expect that hundreds of billions of devices will be connected through the Internet by the early 2020s. To prevent radio interference of huge amounts of data, it is necessary to develop ubiquitous wearable devices that enable constant retention and sharing of data. We aim to establish the basic packaging technology for realizing the semiconductive thin films and circuits that make up such electronic devices, and we fabricated thin films using highly crystalline single-walled carbon nanotubes (HC-SWCNTs) by a wet-coating process and evaluated their electrical properties in this study. Our research has developed a technology to disperse HC-SWCNTs without impairing their crystallinity and succeeded in fabricating thin films from a dispersion liquid of HC-SWCNTs obtained by this technology. We also evaluated the Hall mobility of these thin films and found that a high Hall mobility of 1,000 cm2/Vs can be achieved by controlling the crystallinity. On the basis of the results of this study, we will pursue our research to establish a technology for packaging electronic circuits that take full advantage of the electronic properties of HC-SWCNTs by a wet-coating process.