Miracle-dz/UniFAR-FTUs huggingface dataset:
Practical Compress-ForwardinUserCooperation: Wyner-ZivCooperation

A novel user cooperation scheme, termed Wyner-Ziv cooperation, is proposed as generalization of Slepian-Wolf cooper- ation and a solid example for compress-forward. After motivating the idea, we present the framework of Wyner-Ziv cooperation and discuss the technical details including input/output relationships for a soft (BCJR) decoder, the cooperative strategy, quantizer optimization technologies, and an modified BCJR decoding al- gorithm. The gains observed in the computer simulations, up to 11.5 dB for the source-relay outage case and 3.5 dB on average, a strong testimony that it is not only feasible but also beneficial to exploit Wyner-Ziv coding in user cooperation. I. INTRODUCTION User cooperation allows the nodes in a common network to leverage the resource, such as power, memory, and anten- nas, of their neighboring nodes to improve communication efficiency. The framework is particularly helpful for time- limited channels (i.e. slow fading) where time diversity is hard to achieve. Consider a basic relay system that consists of three parts: a source, a relay and a destination. The relay forwards part or all of what it receives from the source to the destination to provide to the source packet the much-needed (spatial) diversity. Based on what the relay does, cooperative schemes can be grouped in three major categories: amplify- forward (AF), where the relay rescales and retransmits the received signal waveform, decode-forward (DF), where the relay demodulates and decodes the packet and forwards the data possibly using a different code, and code-forward (CF), where the relay forwards the quantized/compressed/estimated version of its observations.
Study on Value Portfolio from the Perspective of COVID-19: A Case Study of Aviation, E-commerce and Retail Industry

Diversified portfolio is a classic investment strategy which was put forward in the 1950s. However, due to the outbreak of COVID-19 in 2019, the traditional portfolio theory cannot be completely directly applied to the investment. Based on the literature review, this paper sorts out the modern portfolio theory and analyzes three industries of Airline industry, retail industry, and e-commerce industry and the typical companies in these three industries: Delta Airline, Walmart and Amazon. On the one hand, the impact of COVID-19 on the development trend of various industries is analyzed through qualitative methods. The research results show that as the passenger volume of the aviation industry decreasing sharply in 2020 and 2021, it will suffer huge economic losses. For the traditional retail industry, as more people choose e-commerce as well, it will also suffer no small blow; E-commerce, meanwhile, is more likely to survive the recovery. Walmart shares were hit hard by the outbreak, Amazon shares rose sharply because of demand for online shopping, and Delta Airlines shares fell because the city shut down. On the other hand, a quantitative analysis method is applied to generate the correlation matrix of the three companies. A conclusion is drawn that consumer should increase the weight of Walmart in the three stocks, reduce the proportion of Amazon, and reduce the purchase of Amazon Delta Airline. The conclusions of this paper provide practical support and reference for investors' investment.
Analysis on Energy Efficient Approaches for Routing In Mobile Adhoc Network

A Mobile Ad Hoc Network (MANET) is a self-organizing and dynamically configurable wireless network without having fixed infrastructures. Mobile ad hoc networks (MANET’s) consist of nodes which move arbitrarily and form dynamic topologies. MANET’s exhibit characteristics like limited bandwidth, energy constraints, mobility, scalability and limited security. The main issue is energy constraint of nodes in mobile adhoc network. The primary goal of a routing protocol is efficient route establishment between a pair of nodes. Because of limited battery of nodes links failure can be possible. So here the analysis of different techniques is done in this paper.The aim of this research is to check and compare the different approach to make the routing efficient in Mobile adhoc network. And one method is proposed for energy efficient communication in mobile adhoc network which use the remaining energy and number of nodes for selection of route.
Discovery of statistically significant regional co-location patterns on urban road networks

ABSTRACT Detecting regional co-location patterns on urban road networks is challenging because it is computationally prohibitive to search all potential co-location patterns and their localities, and effective statistical methods for evaluating the prevalence of regional co-location patterns are lacking. To overcome these challenges, this study developed an adaptive method for detecting network-constrained regional co-location patterns. Specifically, an alternate prevalence measure of regional co-location patterns was defined based on the likelihood ratio statistic. A network-constrained k-nearest neighbor method was used to construct instances of candidate co-location patterns, and a heuristic two-phase expansion method was proposed to identify candidate localities of regional co-location patterns. The statistical significance of regional co-location patterns was evaluated using a Monte Carlo simulation. Experiments using extensive simulated datasets showed that our method was superior to three state-of-the-art methods. The proposed method was also applied to a Beijing points of interest (POI) dataset. The identified regional POI co-location patterns could support a better understanding of the spatial organization of urban functions and may be useful for facilitating urban planning.
Factores que influyen en la sostenibilidad de las PyMES del sector restaurantero del municipio de Monterrey

El cierre permanente de las PyMES (Pequenas y Medianas Empresas) es un tema relevante para la economia mexicana puesto que las PyMES representan el 58% del PIB (Producto Interno Bruto) del pais, entonces es importante identificar los factores que influyen en las PyMES para mantener una sostenibilidad empresarial y evitar que continuen cerrando. Por tal motivo, la investigacion a realizar se enfoca en la propuesta teorica de los factores que permiten incrementar la sostenibilidad de las PyMES y con ello aumentar o mantener la rentabilidad logrando la permanecia y evitando asi el cierre permanente de estas empresas. Los objetivos del presente articulo son presentar las generalidades de las PyMES y sustentar teoricamente los factores propuestos para lograr una sostenibilidad PyME en las empresas de Monterrey y se propone como factores el control de riesgos, el uso de las TIC´´´s (Tecnologias de la Informacion y Comunicacion), la capacidad adaptativa, la calidad en el servicio y la gestion del conocimiento. Una vez sustentados los factores anteriores se pretende realizar un cuestionario con escala Likert para medir la correlacion entre las variables independientes y dependiente.
Potential and Opportunity of Co-Firing Power Plant in Indonesia Through Torrefaction of Empty Fruit Bunch (EFB) - A Review

Electricity was an important requirement for various activities. Currently, the level of electricity consumption in Indonesia was around 1000 kWh/capita/year and is expected to continue to increase towards developed countries with a minimum electricity consumption level of 3000 kWh/capita/year. Along with the increasing demand for electricity, many new power plants were being built in Indonesia using coal as fuel. Coal was a non-renewable fuel so the CO 2 gas produced has an impact on global warming. Co-Firing was a technology for combining fuel of biomass and coal in order to reduce the use of coal. The difference in the quality of biomass and coal was an obstacle to getting a stable combustion performance so it is necessary to improve the quality of biomass. The torrefaction technology can be implemented to improve the quality of biomass in Indonesia so it can be used as fuel for a co-firing power plant. One of the most potential biomass was empty fruit bunch (EFB) from palm oil processing with a potential of around 48 million tons per year or equivalent to 30 GW. Every Oil palm mills plant that process 25 ton/hour of fresh oil palm fruit bunches can produce EFB around 5.25 ton/hour. With so many palm oil plants, torrefaction technology can be used to store EFB torrefied which can change the properties of biomass from hydrophilic to hydrophobic. The government's role to support the use of biomass, including EFB, is very much needed in increasing cooperation between palm oil mills and power plants.
Cascaded artificial neural networks for short-term load forecasting

An application of artificial neural networks (ANNs) to short-term load forecasting is presented in this paper. An algorithm using cascaded learning together with historical load and weather data is proposed to forecast half-hourly power system load for the next 24 hours. This cascaded neural network algorithm (CANNs) includes peak, minimum and daily energy prediction as additional input data for the final forecast stage. These additional input data are predicted using the first (ANNs) model. The networks are trained and tested on the electric power system of Kuwait. The absolute average forecasting error is reduced from 3.367% to 2.707% by applying CANNs as compared to the conventional ANNs. Simulation results indicate that the developed forecasting approach is effective and point to the potential of the methodology for economic applications.
RBF Neural Network Model Training by Unscented Kalman Filter and its Application in Mechanical Fault Diagnosis

To improve the ability of fault diagnosis for mechanical equipment, a Radial Basis Function Neural Network (RBFNN) diagnosis method based on Unscented Kalman Filter (UKF) algorithm is proposed. In the algorithm, at first, UKF algorithm is used to estimate the parameters of RBFNN, and then the proposed method is introduced into the fault diagnosis of mechanical equipment. The simulation indicates that the established model has a good diagnosis performance for mechanical fault diagnosis.
Sharp directive beamforming using microphone array and planar reflector

A method for sharp directive beamforming using a reflector is proposed. The method involves physically varying the transfer functions and the spatial correlation matrix by placing a planar reflector near a linear microphone array. We confirmed through experiments that the proposed method was effective for increasing the spatial nulls and minimizing the power of interference in the beamforming output and consequently achieving sharp directivity.
A Rapid Anti-Collision Method for RFID Tag Identification

In RFID system, when multiple tags transmit information in the same wireless channel simultaneously, data collisions usually occur which will reduce the identifying efficiency of RFID systems. To resolve this problem, several Dynamic Frame-Slotted ALOHA (DFSA) methods have been proposed. However, these methods are generally not capable of achieving expected performance when the number of tags is much larger or smaller than the initial frame size. Aiming to this problem, a Rapid DFSAI (RDFSAI) method was put forward based on the DFSA with interrupt (DFSAI) in this paper. Firstly, whether the frame size is adjusted or not is judged by comparing the system efficiency with the reference system efficiency. Secondly, the multiple factor of the frame size is determined by the ratio between the collision and empty slots, which leads to a seriels of different multiple factors or. As a result, the proposed RDFSAI elevates the adjustment speed of frame size and reduces the unnecessary empty and collision slots effectively. Simulation results indicate that the RDFSAI method appears better performance than the conventional methods even the tag number is increased up to 1600.
Group Learning in Participatory Planning Processes

Scholars have identified group learning as both an outcome of effective participatory planning processes and as the means to achieving agreement on planning outputs and to building constituencies for plan implementation. This article examines the challenges of designing empirical studies of group learning in participatory planning processes that have strong internal and external validity and reports the results of a quasiexperimental analysis of how different degrees of participation increase mutual understanding of planning problems and solutions.
An FPGA-based controlling and data acquisition scheme for the demodulation of quasi-distributed FBG sensing system

This paper propose a complete design and implementation of a controlling and data acquisition scheme for the demodulation of Quasi-Distributed Fiber Bragg Grating (FBG) sensor system by combining the technology of USB 2.0 and FPGA with precise system adjustment strategies, aiming to meet the requirement of acquiring large amount of data in real time for multiplexing a number of sensors, while maintaining stable control and accurate monitoring over all sensors on a small-sized embedded module. A Xilinx Spartan-3 FPGA and several DACs, including LTC1450 and LTC1597 are used to control a F-P filter as a wavelength selection element for demodulation, as well as realizing adjustment and stability of the whole sensing system while a high speed data path is conducted by the same FPGA and a Cypress USB controller. A newly designed method for rotational data transfer is applied to complete signal compensating and system adjustment. A quasi-distributed FBG sensing system with precise control and stable coordination can be achieved while the sensing data is easily obtained without losing details.
On complex demodulation and time-frequency distributions for broadband reflectometry signals

Complex demodulation is used to generate a positive joint time-frequency distribution for broadband reflectometry signals, the so-called demodulogram, which is actually the dual of the well-known spectrogram and which, for a given signal, is obtained by squaring the modulus of the inverse Fourier transform of the signal frequency-windowed Fourier spectrum. The demodulogram and its properties are discussed, and the former is applied to the analysis of typical reflectometry data, being shown, in particular, that it can indeed yield what is strictly defined as the instantaneous frequency of discrete-time reflectometry signals.
DRY RICE HUSK FILLER EFFECT TO TENSILE BEHAVIORS OF RECYCLED HIGH-DENSITY POLYETHYLENE (HDPE)-BASED GREEN COMPOSITES

The possibility of using plastic waste to manufacture hybrid bio-composite materials with the dry husk of Asian rice (Oryza sativa L.) is investigated. The most polluted and unsustainable plastic waste is High-Density Polyethylene (HDPE) due to its single-use, which decreases in quality if it is reused is selected. The mixtures chosen are local natural fiber and easy to find, potentially a preliminary study of a composites building material. Furthermore, to improve the tensile properties of this hybrid bio-composite material, an additional organic filler is used, such as rice husk (Oryza sativa L.) in a combination of 10%, 12%, and 15%. Samples for this study were processed using the hot press methods based on ASTM D882. Tested for tensile strength, modulus young, yield stress, and elongation is carried out to see an increase in the performance of the biocomposite material. The test results show that the best tensile properties are samples with 12% rice husk, resulting in excellent sample compatibility proofed by Scan Electron Microscopy to study bio-morphological composites. This project has shown that the composites based on natural fiber will be potential building materials due to their improved tensile properties.
Recovering shading and reflectance from a single image

The Problem: Given an input image, decompose it into an image representing the shading of the scene and a second image representing the reflectance of every point in the scene. Finding the shading image can be thought of as re-rendering the image as if every surface shown in the image was made of the same material, such as plaster. Figure 1 shows an example image that has been decomposed into shading and reflectance images.
Genetics- : A tool to improve productivity and profitability

Until recently most international breeding programmes in dairy cattle have focused solely on milk production and have made large contributions to the rate of improvement in milk production but to the determinant of reproduction. Improved statistical techniques and computing resources as well as better phenotypic measurement tools have increased the ability to identify genetically superior animals. 'Omic' technologies have huge potential to offer in the near future to further improve genetic gains in productivity and profitability. However, maximum exploitation of these technologies can only be achieved if the basics of the most pertinent breeding goal and breeding programme are correct.
Enhancement of dissolution profile of poorly aqueous soluble atorvastatin calcium by binary and ternary solid dispersion techniques

Atorvastatin calcium (ATV) is an HMG-CoA (3-hydroxy-3-methylglutaryl coenzyme A) reductase inhibitor commonly known as a cholesterol-lowering agent. As a poorly water-soluble drug its absolute bioavailability is very low. To increase the water solubility as well as oral bioavailability, different hydrophilic carriers were used in different ratios (1:0.5, 1:1 and 1:2) to prepare reproducible binary and ternary solid dispersion formulations of ATV by simple physical mixing (PM) and fusion or melting technique. In vitro dissolution studies results revealed that in all cases, the cumulative percent drug release from ATV ternary SD formulations were greater than binary formulations, some marketed products and pure ATV powder. The order of the carriers in enhancing the drug release was found as kollidon 90F > pregelatinized starch > lutrol> kollidon 12F (99.1%, 98.8%, 96% and 95% respectively) for ternary SD formulations whereas pure ATV powder and marketed products showed cumulative percentage release 70.8%, 68.9% (B1) and 73.1% (B2), respectively. The best-out performed ternary SD formulation ATV:Kollidon 90 F (1:2) were further characterized using FT-IR and SEM. SEM analyses indicated conversion of crystal drug to amorphous form and FT-IR data suggested that little or no interaction between the drug and polymer. Bangladesh J. Sci. Ind. Res.56(3), 165-176, 2021
The effects of person-organization fit on job performance and intention to remain in hospitality business

The purpose of the study is to determine the effects of p erson-organization fit on job performance and intention to remain in hospitality business. First, questionnaire for this study is developed from literature on a 5-point Likert-type that has three parts questions. Through conducting a face-to-face interview, a total of 399 questionnaires are collected from employees of five-star hotels in Mugla. PASW statistical package program is used to analyze the data that i ncludes various statistical tools such as factor analysis, correlation analysis and multiple regression analysis. As a result, the findings indicate that P-O fit has a positive correlation with job performance and intention to remain and affects them. Keywords: Person-organization fit, Job performance, Intention to remain at work.
Exploring the Possibilities of Artificial Intelligence and Big Data Techniques to Enhance Gamified Financial Services

A lot of millennials have been educated in gamified schools where they played Kahoot several times per week, and where applications like Classcraft made them feel like the protagonists of a videogame in which they had to accumulate points to be able to level up. All those that were educated in a gamified environment feel it is natural and logical that gamification is used in all areas. For this reason, gamification is increasingly becoming important in different fields including financial services, bringing new challenges. Gamification allows financial institutions to provide personalized and compelling experiences. Big data and artificial intelligence techniques are called to play an essential role in the gamification of financial services. This chapter aims to explore the possibilities of using artificial intelligence and big data techniques to support gamified financial services which are essential for digital natives but also increasingly important for digital immigrants.
Cramér–Rao bounds for L-band digital aeronautical communication system type 1 based passive multiple-input multiple-output radar

In this study, of concern is the achievable estimation accuracy for a non-coherent passive multiple-input multiple-output (MIMO) radar employing orthogonal frequency-division multiplexing (OFDM) based signals of opportunity. The motivation behind this investigation is the surveillance aspect of the air trac management modernisation process currently taking place in civil aviation. To this end, the surveillance capability of the OFDM-based L-band digital aeronautical communication system type 1 (LDACS1) is analysed. The extension of the LDACS1 communication system towards surveillance is of great importance since it would enable an alternative, non-cooperative surveillance application, and, together with the already validated navigation extension, establish a fully integrated LDACS1-based communication, navigation, and surveillance technology. The modied Cramer-Rao bound on the joint estimation of target location and velocity for a non-coherent passive MIMO radar, employing the OFDM-based LDACS1 signals as signals of opportunity, is investigated. The analysis is carried out assuming one target, multiple and widely separated transmit and receive antennas, orthogonal waveforms, independent reection coecients, and zero-mean white Gaussian noise. Closed-form expressions for the relevant elements of the modied Fisher information matrix are obtained. The results can be used to assess the estimation accuracy of a multiple antenna passive radar system employing any OFDM-based signals of opportunity.
ADVANCED CONCEPTS FOR FLOATING-BODY MEMORIES

With 30nm-class memory cells in production and 20nm-class (20-29nm feature-size) memory targeted for next year, the standard 1-Transistor + 1-Capacitor (1T+1C) DRAM industry is making prominent efforts to improve the scalability of the cell capacitor while maintaining the minimum capacitance requirements for state discrimination, immune to noise (C~25fF/cell). To achieve the capacitance requirement, the DRAM cell has evolved from its initial planar implementation to complex three-dimensional structures. The increment in complexity and the large difference in size between the transistor and capacitor of each cell have motivated the search for Floating-Body Single-Transistor DRAM (1T-DRAM). The underlying idea behind 1T-DRAMs is the development of single-device memory cells with a pronounced hysteresis effect and fast operation. This chapter is focused on the floating-body effect as a primary source of hysteresis. We present new concepts able to deal with the basic limitations of 1T-DRAM while maintaining its simplicity. The floating-body 1T-DRAMs can be reconciled with the aggressive scaling constrains by considering new ideas which make possible the coexistence of electron and holes in the same ultrathin transistor. The best approach is to isolate each type of carrier in an specific potential well which is not created specifically by the bias conditions (unlike standard 1T-DRAMs) but by the physical structure of the device.