Miracle-dz/UniFAR-FTUs huggingface dataset:
A ML Algorithm was used to Forecast the Gain or Loss of a Shareholder in the Financial Markets

The curve of stock is unexpected. The complexity and unpredictability of stock market predictions make them difficult to make. Predicting the stability of future market stocks is the main goal for persuading the audience. Numerous analysts have conducted their study on how the industry would evolve in the future. Unreliable information is a component of stock, making knowledge a vital source of power. Impact of the prediction's strength on enduring possibilities. Deep learning has incorporated itself into the image for the development and projection of instruction sets and information models as part of the current development of exchange forecasting technology. To forecast and alter things as needed, Machine Learning uses whole distinct components methods and algorithms. The main topic of the paper is the Application of LSTM and regression to forecast stock values.
Design of Triple Band RF Energy Harvesting System Using Monopole Antenna

In this paper, a triple band rectenna consisting of a rectifier and the corresponding antenna for the GSM 1.8 GHz, Wi-Fi 2.4 GHz and WiMAX 3.5 GHz bands is proposed. The triple band antenna is chosen to be a Y-shaped monopole antenna along with an L-shaped slot in partial ground plane. The antenna is analyzed numerically using the CST Microwave Studio. The designed antenna is linearly polarized at 2.4 GHz and circularly polarized at 1.8 GHz and 3.5 GHz, henceforth minimizing the losses due to misaligned orientation of the receiving antenna. The antenna size is 40mm x 60mm and it is fabricated on a low cost FR4 substrate. The triple band rectifier is designed using the Villard voltage doubler topology. Radial stubs are used for the designing of matching circuit. The rectifier is then integrated with the designed antenna configuration. The designed rectenna is analyzed numerically using circuit simulation ADS Software. The measured efficiency of the rectenna is 39.2% at 1.8 GHz, 35.1% at 2.4 GHz and 21.11% at 3.5 GHz corresponding to 3.5 dBm input power.
Er3+-Pr3+-Yb3+ Tri-doped La2O3-Al2O3-SiO2 Glass Double Clad Fiber for C+L Amplification

Er<sup>3+</sup>-Pr<sup>3+</sup>-Yb<sup>3+</sup> tri-doped double clad fiber was fabricated by the stack-and-draw technology. The fiber core Er<sup>3+</sup>-Pr<sup>3+</sup>-Yb<sup>3+</sup> tri-doped La2O3-Al2O3-SiO2 glass was prepared using the conventional melting method. The fluorescence properties of fiber were experimentally investigated. The result suggested Er<sup>3+</sup>-Pr<sup>3+</sup>-Yb<sup>3+</sup> tri-doped double clad fibers are potential material for broadband light source and C+L amplification.
Low Profile Triple Band Metasurface Based ME-Dipole Antenna

A triple band, low profile, metasurface based ME-dipole antenna is proposed in this work. The composite antenna structure has one ME-dipole antenna topped by a suitable dual-band metasurface, which resulted in triple band response. The electric dipole was constructed by employing four quasi-square patches and fed with an L-probe. The magnetic dipole was obtained by introducing four sets of closely spaced via holes located at the inner corners of the quasi-square patches. The metasurface has two concentric split squares as unit cell. The three bands were reported at 11.3-12.51GHz, 13.78-14.3GHz and 16.11-17.88GHz, with fractional bandwidths of 20%, 7.42% and 21.85% respectively, with a peak gain of 7.57dBi. The profile of the antenna was found to be only 0. 04λ0.
Design of Slotted Microwave Sensor for Evaluation of Water Quality

In this paper, a planar Micro-strip based Slotted topology CSRR is proposed for water quality assessment. The modelled Slotted topology CSRR (S-CSRR) sensor resonates at 4.14 GHz with a Q of 226 and fractional sensitivity of 9.5%. The advantage of a Slotted structure is its improved coupling with incident E-field of the Sample Under Test (SUT) and its improved notch level in case of high loss samples like water $({\varepsilon} \mathbf{r}=\mathbf{80})$. The detection of lossy liquid like water is carried out by the inclusion of a thin Teflon layer placed on top of the ground etched sensor. The equivalent circuit of the proposed sensor is further optimized in ADS software. The sensor is fabricated on a 0.8mm thick Taconic TLY-5 substrate $({\varepsilon} \mathbf{r}=\mathbf{2.2})$. Finally, the measurement of the S-CSRR sensor is carried out for different solute concentrations of dissolved salt, detergent and sugar variants respectively in pure water for its quality assessment. With the developed sensor, it was observed that even for a slight change in solute concentration there is a significant shift in S21 dB level of 0.7 dB, 0.9 dB, and 0.05 dB for unit percentage change in detergent, salt, and sugar solution respectively in the measured values.
Performance comparison of DAS and BP algorithms for Synthetic Aperture Radar Imaging

In the Synthetic Aperture Radar (SAR) research environment Imaging concept plays a very important role. However, many challenges and complexities to forming an image, and many algorithms were developed accordingly. Most of the algorithms were developed by approaching the conventional SAR imaging algorithms like Delay and Sum algorithm (DAS) and Back Projection Algorithm (BPA). This paper presents an overview of these two significant SAR imaging algorithms. The preliminary objective of this paper is to summarize the fundamentals, challenges, and latest advancements in SAR imaging by providing their mathematical framework. We briefly presented the state of the art of SAR imaging and implementations. Also, we compared the algorithms in metrics of noisy environments, execution time, and image resolution for the different algorithms used.
Design of Substrate Integrated Waveguide-based Periodically-loaded Archimedean Spiral Slot Leaky Wave Antenna

A novel structure of a periodic leaky-wave antenna with continuous beam scanning for Ku-band (12–18 GHz) applications is presented here. The design of a frequency-scanning antenna, which comprises of tapered microstrip line for feed and dual spiral slots as the radiator on the upper metallic plate of substrate integrated waveguide, is discussed. Leakage of electromagnetic energy from the leaky line (SIW) occurs through periodic loading of dual spiral slots. Antenna characteristics and performances are illustrated using full-wave simulation. The proposed LWA has features of a high gain of 13.4 dB (at broadside) with a maximum variation of 2 dB in the desired range of frequency. The designed antenna has 7 unit cells that provide directive comprehensive scanning of -60 deg. to +25 deg. over the operating frequency of 12.73-17.35 GHz with a consistent gain of 12 dB (avg.).
MetaWBC: POSIX-Compliant Metadata Write-Back Caching for Distributed File Systems

In parallel and distributed file systems, caching can improve data performance and metadata operations. Currently, most distributed file systems adopt a write-back data cache for performance and a write-through metadata cache for simplifying consistency. However, with modern file systems scales and workloads, write-through metadata caching can impact overall file system performance, e.g., through lock contention and heavy RPC loads required for namespace synchronization and transaction serialization. This paper proposes a novel metadata write-back caching (MetaWBC) mechanism to improve the performance of metadata operations in distributed environments. To achieve extreme metadata performance, we developed a fast, lightweight, and POSIXcompatible memory file system as a metadata cache. Further, we designed a file caching state machine and included other performance optimizations. We coupled MetaWbc with Lustre and evaluated that MetaWbc can outperform the native parallel file system by up to 8x for metadata-intensive benchmarks, and up to 7x for realistic workloads in throughput.
Analysis of a Multi-Octave Co-Axial Balun Cascaded With Harmonic Termination

Wideband high efficiency power amplifiers are required in tactical communication systems. Ferrite loaded coaxial baluns are well proven impedance transformation elements used in multi-octave V/UHF push-pull power amplifiers. Differential baluns meet the multi-octave bandwidth requirement conveniently. In this paper, we explore possibility of incorporating the efficiency enhancement technique - harmonic impedance tuning into the balun. A co-axial balun encompassing a ferrite core with frequency dependent complex permeability is modeled in circuit simulator. The modeled balun is analyzed in terms of even and odd mode impedances to draw inference on harmonic impedances presented to a non-linear push-pull transistor. Third harmonic impedance tuning through balun has been demonstrated by reactively loading (filter) the unbalanced port of balun appropriately. With this harmonic tuning method it is possible to maintain fundamental impedance unaltered by the harmonic impedance network.
Array Antennas Characterization and Fault Diagnosis in Plane Polar Near Field Test Range

Phased Array Antennas (PAA) are now extensively used in various satellite communications. More Accurate characterization of PAA is very much required for better performance which is more challenging task nowadays. For accurate measurement of PAA, amplitude and phase of the phased array antenna should be uniform over the aperture at a fixed distance. In this paper, PAA characterization in Plane Polar Near Field Test Range and its importance in improving the Accuracy of the gain and directivity measurements by correcting the phase distribution and making it uniform over the entire aperture is described. The various measurement results have been compared and the results are shown.
Active control of sound transmission using structural error sensing

The active minimization of harmonic sound transmission into an arbitrarily shaped enclosure using error signals derived from structural vibration sensors is investigated numerically. It is shown that by considering the dynamics of the coupled system, it is possible to derive a set of “structural radiation” modes which are orthogonal with respect to the global potential energy of the coupled acoustic space and which can be sensed by structural vibration sensors. Minimization of the amplitudes of the “radiation modes” is thus guaranteed to minimize the interior acoustic potential energy. The coupled vibro-acoustic system under investigation is modelled using finite element analysis which allows systems with complex geometries to be investigated rather than limiting the analysis to simple analytically tractable systems. Issues regarding the practical implementation of sensing the orthonormal sets of structural radiation modes are discussed. Specific examples relating to the minimization of the total acoustic.
Graph Neural Networks Based Memory Inefficiency Detection Using Selective Sampling

Production software of data centers oftentimes suffers from unnecessary memory inefficiencies caused by inappropriate use of data structures, conservative compiler optimizations, and so forth. Nevertheless, whole-program monitoring tools often incur incredibly high overhead due to fine-grained memory access instrumentation. Consequently, the fine-grained monitoring tools are not viable for long-running, large-scale data center applications due to strict latency criteria (e.g., service-level agreement or SLA). To this end, this work presents a novel learning-aided system, namely Puffin, to identify three kinds of unnecessary memory operations including dead stores, silent loads and silent stores, by applying gated graph neural networks onto fused static and dynamic program semantics with respect to relative positional embedding. To deploy the system in large-scale data centers, this work explores a sampling-based detection infrastructure with high efficacy and negligible overhead. We evaluate Puffin upon the well-known SPEC CPU 2017 benchmark suite for four compilation options. Experimental results show that the proposed method is able to capture the three kinds of memory inefficiencies with as high accuracy as 96% and a reduced checking overhead by $5.66\times$ over the state-of-the-art tool.
Multifunction GaN Power Amplifier Single Chip

A multifunction Ku-band power amplifier chipset is designed using 250nm GaN/SiC HEMT process. This single chip provides more than 2W saturated output power with large signal gain of 30dB over 10.5-12.5GHz. This chip offers higher level of integration by incorporating on-chip output power detection capability for RF telemetry and analogue gain control circuit for temperature compensation and power stability. This chip is suited for realization of pocket size SSPA for miniaturized Beacon transmitters for satellite onboard applications. DC consumption is about 13W.
Highly Sensitive Multi-coating Photonic Crystal Fiber Biosensor at Near-Infrared Waveband

A multi-coating photonic crystal fiber with a trapezoid-shaped slot (TS-PCF) for highly refractive index (RI) sensing is proposed. TiO2 and Indium tin oxide (ITO) are coated on the bottom of the polished-area, ITO is used as the plasmonic material. Through the full-vector finite element method (FV-FEM), the wavelength sensitivity of 5000~17000 nm/RIU in the analyte RI range of 1.31 to 1.36 is obtained. Moreover, the maximum amplitude sensitivity of 358.94 RIU-1 is also achieved with the relevant resolution of 2.79E-5 RIU. The proposed fiber sensor can be the suitable candidate for real time detecting in medical diagnostics and biomolecules applications.
A Comparative Study of Two Different Octagonal Structure-Based Split Ring Resonators

Radio Frequency Identification (RFID) Tags market has led to a rise in various sectors and applications due to significant advantages over other wireless communication technologies. Due to the edge of not requiring line-of-sight communication, RFID has acquired the barcode technology market. With RFID, the process of automatic tagging and advanced tracking have been much easier. This paper presents the results of a split ring resonator with split length in different patterns with the octagonal ring structure. The tags in the study can be used for ultra-wideband (UWB) applications with a frequency range of 3–11 GHz. Two different split rings were compared to analyze the encoding (number of bits) and the RCS of the tag. The encoding capacity is found to be increased from 3-bits to 5-bits with the change in the split pattern.
RF Energy Harvesting Module Integrated Self Powered Multifunctional UWB Antenna

This article proposes a reconfigurable UWB antenna which can automatically detect and block an ambient interfering signal using an RF energy harvesting powered frequency notching system. The design concept is demonstrated using a coplanar waveguide (CPW) fed circular printed monopole antenna as UWB radiator and a slot antenna is integrated in the ground plane of the CPW feed of the monopole antenna, for creating a compact energy harvesting system. Switching between UWB and frequency-notched UWB modes are actuated by closing/opening the gaps of Split Ring Resonators (SRR) using low power RF switches, powered by the RF energy harvesting module. The proposed slot antenna integrated circular monopole antenna is simulated for UWB and frequency notch characteristics. The rectifier, powered by the slot antenna, for energy harvesting is also studied. It is demonstrated by simulation that the proposed system activates/deactivates the RF switch, creating a frequency notch, when a high power interfering signal is detected and restores the UWB operation when interfering signal is weak.
Planar E-plane Horn Antenna with Multiband and High Gain Characteristics

This article proposes a planar higher gain substrate-integrated waveguide-based E-plane horn (SIEW horn) antenna that operates in the 5G frequency range. This design utilizes a flag-shaped copper strip directly connected to the coaxial feeding probe to excite the antenna from the backside of the SIEW horn. This strip is placed on the top plane of the bottom substrate in between the two supporting metallic strips running along via holes in the horizontal plane. An air layer is also included between the top and bottom substrates to improve the impedance bandwidth response at all five operating bands (23.38-24.36 GHz, 25.32-26.66 GHz, 27.09-28.41 GHz, 28.63-29.25 GHz, and 30.77-31.38 GHz). The proposed SIEW Horn antenna exhibits a maximum peak gain of 11.34 dBi at 28 GHz with an average peak gain of 9.05 dBi across all the operating bands. Step-by-step design procedures along with detailed physical analysis based on electromagnetic (EM) simulation results are presented sequentially. Unlike the conventional SIEW Horn, this proposed structure conceives a new feeding mechanism to realize better impedance matching.
Local Whittle estimation of multi‐variate fractionally integrated processes

This article derives a semi‐parametric estimator of multi‐variate fractionally integrated processes covering both stationary and non‐stationary values of d. We utilize the notion of the extended discrete Fourier transform and periodogram to extend the multi‐variate local Whittle estimator of Shimotsu (2007) to cover non‐stationary values of d. Consistency and asymptotic normality is shown for d ∈ (−1/2,∞). A simulation study illustrates the performance of the proposed estimator for relevant sample sizes. Empirical justification of the proposed estimator is shown through an empirical analysis of log spot exchange rates. We find that the log spot exchange rates of Germany, United Kingdom, Japan, Canada, France, Italy and Switzerland against the US Dollar for the period January 1974 until December 2001 are well decribed as I(1) processes.
A Defected Ground Comb Shape Microwave Sensor for Non Invasive Measurement of Blood Glucose

This paper presents a miniaturized defected ground comb shape microwave sensor to detect blood glucose concentration in diabatic patients non-invasively. Proposed sensor works in the frequency range of 4.75-5.5 GHz at operating frequency of 5.25 GHz. The impedance bandwidth of 750 MHz (14.29%) is found with reflection coefficient $\vert \mathrm{S}11 \vert$ of-45 dB. The proposed sensor shows compact volume of $\mathbf{20}\times \mathbf{20}\times \mathbf{0.8}\ \mathbf{mm}$ 3 fabricated on FR4 substrate. The glucose detection is measured in terms of frequency shift and varying $\mathrm{S}_{11}$ with respect to relative permittivity of human blood cells. The experimental validation is performed by interacting proposed sensor with human thumb. Observed frequency shift and corresponding sensitivity of sensor are 1.75 GHz and $6\ \text{MHz}/\varepsilon\mathrm{r}$ respectively. The observed results of proposed sensor satisfied that it is useful for sensing of non-invasive blood glucose level in diabetic patients.
Wideband and High Gain Circularly Polarized Microstrip Antenna Array using Metasurface

A metasurface based compact dual-feed $2 \times 2$ circu-larly polarized antenna array is proposed in this paper to operate in the C band. Each single element consists of a stub inserted dual-feed square-shaped patch stacked between the ground and metasurface with $4\times 4$ periodic unit cells. The sequential phase rotational approach is used to realize wideband circular polarization characteristics. The overall size of the $2\times 2$ antenna array is 68 mm x 68 mm x 3.2 mm $(1.25\lambda_{0}\times 1.25\lambda_{0}\times 0.059\lambda_{0})$, at an operating frequency of 5.5 GHz. Metasurface based dual-feed 2 × 2 antenna array structure obtains -10 dB impedance bandwidth of 4.32-7.52 GHz (58.18%),3 dB axial ratio bandwidth of 4.48-6.62 GHz (38.9%), 3 dB gain bandwidth of 4.66-6.34 GHz (30.55 %), and simulated radiation efficiency greater than 83 %. The simulated results of the proposed circularly polarized antenna array exhibits good performance in terms of -10 dB impedance bandwidth, 3 dB axial ratio bandwidth, 3 dB gain bandwidth, gain, and radiation efficiency.
RFLSR based Productive MBIST Architecutre for VLSI

This article presents a low-power FPGA application that was made using an implicit memory individual test (MBIST). It has a 2-cycle LFSR exhibit that changes the bearing of the earlier activity and makes incredibly complex MBIST structures. This negative shift affects MBIST's entire power use. We exhort MBIST with LFSR ring to move past this critical power utilization issue. The 2-cycle 2N digit model generator is coupled to the 2-bit (N-2) and 2-bit 4-bit (N-2) LFSR model generators, which are exclusively constrained by two separate tickers working at two unique frequencies. This outcome in the production of every area address high memory test. Xilinx programming was utilized to execute this proposed plan utilizing vertex4 FPGA innovation.
Classification of Human Indoor Activities with Resource Constrained Network Architectures on Audio Data

Many functions and processes in Smart Homes can be improved by incorporating knowledge about the activities of the inhabitants. The inhabitant activities can be recognized by classifying typical sounds related to the activities using audio classification methods. In this paper, we present and approach for the classification of activity-based audio data, taking into account that in many cases the data processing has to be deployed on a resource-constrained device. An indoor dataset is created by recording 11 distinct human actions that are typically perfomed in a living room and kitchen setup. A Convolutional Neural Network (CNN) is used for classification that achieves an accuracy of up to 98%. In addition, network optimization methods like depthwise separable convolutions, pruning, channel scaling and quantization is used to reduce the memory footprint and computational requirements to obtain an optimized network with 93% fewer Million Floating point Operations (MFLOPs) and less than 2% drop in accuracy is achieved for use in resourceconstrained devices.
Short-term Traffic Flow Prediction by Graph Deep Learning with Spatial Temporal Modeling

An extensive amount of research applications on traffic flow prediction models taking into account spatio-temporal modeling have been undertaken in recent years. Relative to traditional spatio-temporal modeling approaches, good application results have been achieved in predicting traffic flow. However, in real life, traffic flow proves to be time- and space-dependent, which poses difficulties for accurate modeling of traffic flow prediction. To address these problems, we propose the ST-GNN-GRU model, which mainly contains S-GNN and T-GRU modules. The model uses a combination of spatio-temporal modeling and deep learning, which can not only cope with the spatio-temporal modeling problem, but also improve the traffic flow prediction accuracy. The experiments are conducted using the METR-LA dataset, and the outcomes show that the proposed method performs more effectively than other baseline approaches.
A study on a multivariate EWMA controller

Many manufacturing processes have, by nature, Multiple Input and Multiple Output (MIMO) variables. However, despite its frequent use in practice, MIMO process feedback control has not been fully investigated in the literature. Under a linear MIMO model, this paper proposes a Multivariate Exponentially Weighted Moving Average (MEWMA) controller. The stability conditions of this controller and the feasible region of its associated discount factor are derived. A discount factor which minimizes the total Mean Square Error (MSE) of the process output is obtained under the assumption that the process disturbance is either a white noise series or an IMA(1,1) series. An example is given to demonstrate the applicability of the proposed method. Some related issues are also discussed.