Miracle-dz/UniFAR-FTUs huggingface dataset:
Multi-Agent Reinforcement Learning Enabling Dynamic Pricing Policy for Charging Station Operators

The development of plug-in electric vehicles (PEVs) brings lucrative opportunities for charging station operators (CSOs). To attract more CSOs to the PEV market, provision of reasonable pricing policy is of great importance. However, dynamic environments and uncertain behavior of competitors make the pricing problem of CSOs challenging. In this paper, we focus on the dynamic pricing policy for maximizing the long-term profits of CSOs. Firstly, we propose a hierarchical framework to describe the economic association of PEV market, which is composed of smart grid, CSOs and charging stations (CSs) serving PEVs from top to bottom. Next, we leverage the Markov game to model the layer of CSOs as a competitive market. Finally, we design a dynamic pricing policy algorithm (DPPA) based on multi-agent reinforcement learning to achieve higher long-term profits of CSOs. Based on the real data of PEVs in Beijing, the experiment results show that DPPA has a significant improvement in long-term profit of CSOs, and the improvement gains increase over time. Moreover, DPPA can reduce the profit loss of CSOs effectively while involving more competitors.
Dengue: A Re-Emerging Disease

Context: Denguefever (DF) is caused by anarbovirus, which transmitted tohumansthrough the bite of aninfected mosquito (Aedes species). Near 2.5 billion people are living in regions where the risk of transmission is high. Until the mid of 20th century, DF was restricted to special parts of tropical and subtropical regions. Dengue hemorrhagic fever (DHF) was first reported in the 1950s when two epidemics happened in the Philippines and Thailand. Now, with international travels and climate changes, its geographical distribution has been changed and increased. Evidence Acquisition: We searched medical databases (PubMed and Scopus) from March 1960 to Feb 2015. The key words for the review of literature were as follows: dengue, dengue fever, dengue hemorrhagic fever, epidemiology, transmission routes, clinical manifestation, treatment and prevention of dengue. Results: Upon the results from literature search, the researchers found that human is the main reservoir for this virus. There are four serotypes of virus. Infection with one serotype cannot protect human against the other three serotypes. Dengue fever begins suddenly with an onset of an influenza-like syndrome and sometimes progresses to severe form of the disease. Treatment is supportive and includes diminishing the fever and balancing fluids and electrolytes. Real-time polymerase chain reaction assays, IgM and IgG-ELISA, and the NS1 ELISA-based antigen assay are available for diagnosis of DHF. There is no FDA-approved vaccine. Mosquito control is the main way for the prevention of dengue. Conclusions: Dengue virus is not highly contagious and virus cannot be spread directly from person to person. Understanding the epidemiology, clinical manifestation, prompt diagnosis, suitable prevention routes such as mosquito control, and also coordinated effort in the community for disease control are important issues.
INFLUÊNCIA DAS OFERTAS PÚBLICAS DE AÇÕES NOS NÍVEIS DE GERENCIAMENTO DE RESULTADOS E SEU IMPACTO NO RETORNO DAS AÇÕES

Este estudo tem por objetivo analisar a influência da oferta pública de ações nos níveis de gerenciamento de resultados e seu impacto no retorno de mercado das ações das companhias brasileiras. Para tal análise, calculam-se os accruals discricionários, utilizando o modelo Kang e Silvaramakrishnan (1995), e apuram-se as médias dos accruals nos períodos pré e pós-ofertas pública de ações. Para o desempenho de mercado é utilizado o preço da ação nos trimestres anteriores e posteriores às ofertas públicas secundárias, sendo que todos os dados necessários para tal análise são extraídos da base de dados Economatica®. A pesquisa envolve 30 companhias listadas na BM&FBovespa S.A. , que realizaram ofertas públicas de ações no período de 2011 e 2012. Os resultados dos modelos de regressões indicam que não há relação estatisticamente significativa entre o gerenciamento de resultados, as ofertas públicas de ações e o retorno médio dos preços das ações. Conclui-se, assim, que não existe influência do gerenciamento de resultados nos retornos das ações após a realização de ofertas públicas de ações. Palavras-chave: Gerenciamento de resultados. Ofertas públicas de ações. Desempenho das ações.
Design and Optimization of Triple-k Spacer Structure in Two-Stack Nanosheet FET From OFF-State Leakage Perspective

In this article, a 5-nm node two-stack nanosheet FET with a triple-k spacer structure representing three spacer regions consisting of two inner spacers (inner spacer 1 and inner spacer 2) formed by two atomic layer deposition (ALD) processes leveraging the inner spacer formation-process method and outer spacer process of stack gate-all-around (GAA) process is proposed. Material and structure optimization was performed to confirm the effects of each spacer regions. Inner spacer 1 has a direct effect on the channel extension region. However, the inner spacer 2 is not in direct contact with the channel extension region and the gate, thus confirming the relatively indirect effect. In addition, the material dependence of the outer spacer, formed between the gate and the side region of the channel where the field is concentrated, was confirmed. By comparing the optimized triple-k spacer structure with the fully nitride spacer, the improved dynamic performance, as well as the active power and static power, was identified.
A Human Face Shaped Ultra Wideband Microstrip Patch Antenna with Enhanced Bandwidth

This paper presents a human face shaped ultrawideband (UWB) microstrip patch antenna that can operate from 3 GHz to 14.7 GHz with a notch from 5 GHz to 6.3 GHz. The notch helps to reject the WLAN (Wireless Local Area Network) 5 − 6 GHz bands which causes interference within the ultra-wide band from 3.1 GHz to 10.6 GHz. The antenna has a human face shaped patch, partial ground plane and is fed by $50\omega$ microstrip line. The bandwidth is enhanced by having triangular and rectangular defects in the ground plane which are referred as defected ground structures (DGS). The antenna is designed, simulated and optimized using CST microwave studio. Various antenna parameters such as reflection coefficient, radiation patterns, gain, efficiency etc are presented and discussed in this paper. It is evident that the antenna is well suitable for UWB applications from the simulation and measured results. The proposed antenna is simple in configuration and has wide bandwidth, high gain, high efficiency, less reflection coefficient and is compact in size.
Prognosis in Acute Myeloid Leukemia: Complexity and Clarity

Genomic and epigenomic analyses in recent years have shed light on the marked molecular heterogeneity that underpins clinical presentation and treatment response in patients with acute myeloid leukemia (AML). Investigators have now performed a multicenter analysis of AML patients enrolled in three prospective clinical trials of intensive induction therapy. Cytogenetic analysis and sequencing of 111 genes relevant to AML were characterized …
A Low-Cost and High-Throughput Virtual-Channel Router with Arbitration Optimization

Network-on-chip (NoC) has emerged as an on-chip interconnect technology that overcomes the constraints of traditional bus-based system. Virtual-channel router with transmission priority plays an important role especially in many-core chip multiprocessors (CMP) executing different applications. In this paper, we propose two arbitration optimization methods based on virtual-channel router, consisting of scoring crossbar arbitration and arbitration interception. The design has been implemented on the Xilinx ZCU102 FPGA board, and the results show that our work outperforms the traditional virtual-channel router in the NoC while reducing logic resource by approximately 10% and achieving 2x better performance.
Similarity properties for the offshoots of the Generalized Discrete Hartley Transform (GDHT)

This paper presents new similarity properties for the offshoots of GDHT. GDHT and its offshoots are finite dimensional discrete transforms that have wide ranging and ramifying applications in Pure Mathematics and Applied Mathematical Applications such as Digital Signal Processing, Image Processing, and Communications Engineering. The similarity properties can be used for computing the time domain signal from its frequency domain expression or contra if and only if an existing GDHT (and its offshoots) pair exists. In such instances, the merits of the properties lie in the belt-tightening of computational intricacy and outlay essentially.
Reduced Multiuser-Interference for Vehicular VLC Using SDMA and Matrix Headlights

We investigate a novel approach of utilizing modern Adaptive Front-Lighting System (AFS) to reduce multiuser interference in Vehicular Visible Light Communications (V-VLC) by applying Space-Division Multiple Access (SDMA). V-VLC is a promising technology that can complement Radio Frequency (RF) communications to fulfill the high reliability and low latency requirements of Intelligent Transportation Systems (ITS). To achieve this, however, limitations of bandwidth efficiency and multiuser interference need to be addressed. A possible solution is to take advantage of SDMA, which allows spatial reuse of the resources and a simple but efficient multiple access method. State-of-the-art AFS, consisting of multiple controllable Light Emitting Diodes (LEDs) with sharply separated radiation patterns, offer a great opportunity to implement SDMA. Therefore, we investigate the applicability of an AFS-based SDMA system for V-VLC and compare its communication performance with a common LED-based high beam. Simulation results show that our system can be used to reduce multiuser interference in V-VLC.
Fuzzy-based Adaptive Sliding Mode Control for a Direct-Driven PMSG Wind Energy System

This paper proposes an adaptive fuzzy-based sliding mode controller (FASMC) to control the machine side converter (MSC) of a direct-drive permanent magnet synchronous generator (PMSG) in a wind energy system (WES). The FASMC is applied to control the components of stator currents in the synchronous reference frame of PMSG. The presented FASMC involves two integral switching functions for control of direct and quadrature stator currents components. The parameters of FASMC have been adapted based on the fuzzy logic to overcome the poor dynamic performance of the SMC with constant parameters. Matlab/Simulink simulation has been carried to test the control scheme. Moreover, the validation of the proposed controller has been done by comparing its performance with the performance of PI controller. The simulation results demonstrate the feasibility and effectiveness of the suggested control system of FASMC.
Privacy Management on Un-Regulated Privacy Settings in Social Media

Online Social Networks (OSNs) are the hottest trend in the internet, allowing people to socialize and share information among themselves. The social networking platform especially Facebook presents the problem of non-restrictive change in the privacy policy associated with an object and the risks affecting the privacy of other users. Research communities have identified and discussed the problems that arises when a user changes the privacy of a particular post previously posted under ‘public’ privacy settings into ‘only me’ settings in Facebook. Any post allows other users to comment on it when it is in public mode. Changing the privacy settings to ‘only me’, grants restricted access to the post where only the owner can access that post and its related comments, there by violating the privacy of other users who had commented on the said post. We propose a novel approach to tackle this problem. We introduce an additional option called ‘My Comments' through which a user can access his comments even after the post's owner changes the privacy of that post from ‘Public’ to ‘only me'. This feature will provide the owner of the comment unprecedented access to all his comments/ likes for any post allowing him the freedom to delete, edit existing comments.
A perturbation based extremum seeking algorithm for maximum power point tracking

A photovoltaic system must operate at its maximum power under all conditions. To extract maximum power, a power point tracking algorithm is used. In this paper, a comparative study between two maximum power point tracking algorithms for photovoltaic system is presented. A model free, deterministic perturbation based extremum seeking algorithm is compared with perturb and observe method, under varying conditions of solar irradiation, temperature and load. The performance analysis is carried out in terms of steady state characeristics and transient response, by simulations using MATLAB-Simulink platform. The results present the efficacy of extremum seeking algorithm over the conventional perturb and observe method for extracting maximum power.
Passive Underwater Event and Object Detection Based on Time Difference of Arrival

Underwater event/object detection is an enabling technique for many marine applications. for the surveillance of target water areas, the future underwater network can serve as a backbone system, and every sensor in this network is an agent. When the target moves into the target area or when an event happens, the agents will detect acoustic signals from the target or event. The acoustic waves arrive at different agents at different time. Based on the correlation of the received signals between two agents, the time difference of arrival (TDoA) can be estimated, which locks the target/eventâ€™s position on one branch of a hyperbola, represented by a nonlinear equation. With three or more agents, the target/eventâ€™s position can be uniquely decided. To make this system universally applicable, the average underwater acoustic velocity is also assumed to be unavailable, and a two-phase linear algorithm is proposed. A coarse estimation is obtained in Phase I, and the result is further refined in the Phase II. Extensive simulations are provided to verify the effectiveness of the proposed system.
Systematic Design of a Parallel Robotic System for Lower Limb Rehabilitation

This paper presents the design of an innovative robotic system for lower limb post-stroke rehabilitation of bed confined patients during the acute stage of the treatment. To establish the particularities of each targeted joint motion, experimental measurements are performed on healthy subjects. The acquired data is used to determine the operational workspace, namely the limits of the anatomic joints motion for the lower limb. Based on the prescribed operational workspace, an innovative parallel robotic architecture is designed for achieving the rehabilitation of the lower limb. A detailed kinematic modelling and analysis is carried out to demonstrate the robot capability to safely achieve the required motions. The design of the robotic rehabilitation device is discussed in detail alongside with numerical simulations for validating its performance while performing medically relevant rehabilitation motions.
Empirical Analysis of Tree-Based Models for PM2.5 Concentration Prediction

Air pollution is an important issue that directly affects human health. In particular, the particulate matter (PM), one of the major components of air pollution, is produced by automobiles and factories. As the global interest in PM concentration increases, it is important to improve the prediction accuracy of PM2.5 concentration. In this paper, we utilize treebased models such as random forests, XGBoost, and LightGBM to predict PM2.5 concentration. Despite promising results of the tree-based models, there are challenging issues to solve: how to handle missing values and how to use output data predicted by the existing mathematical model. To tackle these issues, we exclude all missing data so that training models do not require sophisticated missing value processing, and also we show that the prediction performance by using concatenated data of the observation and output data predicted by the Community Multiscale Air Quality model is better than using the observation data only. The experimental results show that the XGBoost model outperforms other tree-based models with the root mean square error of 13.4977 and the mean absolute error of 10.1392.
Non-Coherent Signal Detection Technique for Mobile Molecular Communication at High Data Rates

Recently, research on mobile molecular communication (MC) has become a trend and hotspot. The timevarying channel impulse response (IR) resulting from the mobile feature makes signal detection schemes for static MC no longer applicable. In this paper, a low complexity and non-coherent detection scheme based on the energy difference between two adjacent symbols is proposed for blind signal detection in mobile scenario providing high data rates. Specifically, we consider the non-coherent signal detection scheme with respect to both the moving transmitter and the moving receiver for the first time. In contrast to existing methods for low data rates and without considering inter-symbol interference (ISI), the proposed method utilizes the ISI to achieve quality detection results at high data rates without knowing the channel state information (CSI). The influences of the mobility parameters and data rates on the bit error rate (BER) are evaluated by simulations. The simulation results demonstrate that the BER performance of the proposed scheme is much lower at the same signal intensity compared with a non-coherent scheme, and the computational complexity can be significantly reduced as well. Consequently, the proposed scheme can reduce the effect of the mobility of the nanomachines in signal detection and has the potential to implement molecular communications, especially in mobile scenarios.
Power Optimization Techniques and Physical Design Flow on Repeaters for High-Speed Processor Core in sub 14nm

in present semiconductor industry, designing the IP cores with shrinking in the silicon area is becoming challenging day by day, on top of it power and speed (timing) are the major challenges which decides the profit of the core. So to design IP cores with good quality in short period of time we can automate the design. RLS (RTL to Layout Synthesis) is Synopsys automation tool used for core design. Here timing, power, area and quality are the major challenges faced in design flow because any small issue can render the whole chip useless which may lead to heave economic loss. Hence it is imperative that the whole design of the functional unit which in total forms a core be as optimized as possible and meeting all the specs. But there will be tradeoff between power, area and timing. To achieve a good quality core various design techniques are applied in synthesis flow and in ECO mode also. Such that design timing get converged and power, area optimization can be achieved. In this project work major focus is on designing the repeater FuBs (Functional unit Blocks) and detail explanation on timing convergence, power optimization and achieving good quality on the design block.
Wind Energy Conversion System Oscillations Damping Using a Proposed Mutation Operator for LBBO-DE Algorithm

Damping the oscillations of the wind energy conversion system of a grid connected Doubly Fed Induction Generator (DFIG) is the main objective in this article. PID controller is commonly used in many industrial process, but its parameter tuning is a challenging task. The PID parameters values are not optimally adjusted by conventional methods being used such as frequency response. Such that, a new algorithm is used which is hybrid Differential Evolution with Linearized Biogeography-Based optimization (LBBO-DE). Linearized-Biogeography Based optimization (LBBO) is a new version of Biogeography-Based optimization (BBO). Cauchy and Gaussian mutation operators are proposed to modify the mutation equation. The algorithm LBBO-DE with the proposed mutation operators had been tested with 53 benchmarks and then compared with the 40 algorithms that have been accepted for 2005 and 2011 Congress on Evolutionary Computation (CEC). The proposed algorithm achieved advanced rank between them and gave better results and lower variance, which proved to have competitive performance with state-of-the-art evolutionary algorithms. A simulation model is used to show the oscillation damping in case of symmetrical and asymmetrical fault occurrence at the grid connected to WECS-DFIG. As a result, the LBBO-DE with Gaussian mutation equation is used to optimize the controller parameters for achieving oscillations damping. The simulation results of direct-drive PMSG model is also used for the oscillations damping purpose under the case of wind speed variation, which is done by the LBBO-DE.
Lion Algorithm based Load Frequency Control for Interconnected Power System Incoordination with UPFC and Electric Vehicle

The research attraction towards the renewable and green energy sources going to increases so PEV has great potential to participate in ancillary services. PEV has fast active power controllability and has large energy storage capacity makes PEV attractive. Large number of PEV has large energy storage capacity and has potential to participate in LFC. Due to less dependence on fossil fuel and less greenhouse gas emission makes attractive and the penetration of PEV in market is going to increases. In this paper discussed about the aggregation of PEV. Each PEV has different state of charge (SOC) and participation of PEV depending on its SOC. In this paper all the parameter of controller is tuned for LFC by the new optimization technique called lion optimization technique (LOA). LOA is nature inspired metaheuristic algorithm inspired by social hierarchy behaviour of lions from their birth till their death.
Initialization for Multichannel Nonnegative Matrix Factorization Using Nonnegative Independent Component Analysis

This paper proposes an initialization for multichannel nonnegative matrix factorization (MNMF) using nonnegative independent component analysis(NICA). This method is an application of the method proposed for single-channel NMF in the past to MNMF. The experimental results of music separation indicate that the proposed method outperforms the conventional method.
Design of a Novel Mutliple-DOF Extendable Arm With Rigid Components Inspired by a Deployable Origami Structure

An extendable robot inspired by origami is designed, analyzed, and tested. Its deployable origami structure has a large extension ratio, allowing the robot to extend the body length multiple times. The new robot, however, differs from the existing origami structure in two aspects. One is that the robot mechanism consists of all rigid bodies, unlike the prior origami that exploits structural deformation for creating flexible configurations. The other is that new origami-inspired robot has multiple active degrees of freedom, allowing for taking various postures, unlike most deployable mechanisms composed of rigid components having a single DOF. When developing a mechanism based on an origami structure, we often encounter the deformations of parts during the transition from the contracted to the extended configurations. Previously, we analyzed the motion of a deployable origami structure considering the foldings’ deformation and showed that they do not have any kinematic roles but give a large effect to constrain the motion. Thus, we come to the idea that by removing such parts, a novel rigid extendable mechanism with multiple DOF can be obtained, which can achieve a large extension ratio and a high transformability only by its kinematic structure, beyond an original origami structure.