Miracle-dz/UniFAR-FTUs huggingface dataset:
Disruptive Transportation: The Adoption, Utilization, and Impacts of Ride-Hailing in the United States

The rapid adoption of ride-hailing poses significant challenges for transportation researchers, policymakers, and planners, as there is limited information and data about how these services affect transportation decisions and travel patterns. Given the long-range business, policy, and planning decisions that are required to support transportation infrastructure (including public transit, roads, bike lanes, and sidewalks), there is an urgent need to collect data on the adoption of these new services, and in particular their potential impacts on travel choices. This paper presents findings from a comprehensive travel and residential survey deployed in seven major U.S. cities, in two phases from 2014 to 2016, with a targeted, representative sample of their urban and suburban populations. The purpose of this report is to provide early insight on the adoption of, use, and travel behavior impacts of ride-hailing.
EDUCAZIONE, MOBILITÀ, ALTERITÀ. LE FUNZIONI DI MEDIAZIONE DELLA SCUOLA

Il documento che qui viene presentato nella traduzione italiana propone un modello semplice, ma di ampio respiro, che ha un duplice scopo: concettualizzare le scelte politiche di educazione linguistica incentrate sulla mobilita degli attori sociali – in particolare degli allievi ai diversi livelli di scolarita – che e responsabilita delle istituzioni e, nello specifico, della scuola definire e attuare; indicare obiettivi istituzionali e politici, perche questo modello e l’illustrazione che ne viene fornita per i contesti scolastici non si limitano agli aspetti didattici e linguistici. Essi coinvolgono l’intero progetto educativo in cui la mediazione, in forme diverse, gioca un ruolo tanto piu determinante in quanto le questioni che riguardano la mobilita, l’alterita e i gruppi sociali sono decisive nelle societa multietniche, multilingui e pluriculturali contemporanee. Education, mobility, otherness. The mediation functions of schools The document presented here in the Italian translation has a dual purpose: cognitive, insofar as it proposes a simple – but wide-ranging – model for conceptualising language education policy choices based on the mobility of social agents; and institutional and political, because this model and the illustrations that are given of it in school contexts are not confined to teaching and linguistic aspects. They present an entire educational project in which mediation in its different forms plays an especially crucial role given the centrality of issues relating to mobility, otherness and social groups in the multiethnic, multilingual and multicultural contemporary societies.
A 40-nm CMOS Wide Input Range and Variable Gain Time-Difference Amplifier Based on Current Source Architecture

A time-difference amplifier (TDA) with a wide time-difference input range and variable gain is presented in this paper. Its time amplification is performed using novel current source architecture, phase detection, and variable delay circuits. After time amplification, to avoid the current sources for charging and discharging capacitors simultaneously, a reset circuit is added. To widen the input time-difference range, an adjustable current source control is added. The proposed TDA is implemented using TSMC 40-nm CMOS process. The core area is $209.42\times 84.775\mu \mathrm{m}^{2}$. Though our design is driven by a lower supply voltage, it has the widest time-difference input range and the largest FOM among all existing TDAs.
Adaptive Combination of Two Multi-Sample Multiband-Structured Subband Adaptive Filters

To address the conflict caused by the fixed sampled period in the multi-sampled multiband-structured subband adaptive filter (MS-MSAF), the adaptive convex combination of two MS-MSAFs is proposed in this paper, in which the individual filters independently run with different sampled periods. Moreover, the mean behavior of the convex-combined two MS-MSAF algorithm is also studied. In addition, the convex-combined two MS-MSAF algorithm with periodic feedback is also developed to further enhance the convergence performance. Finally, the validity of the proposed adaptive filtering algorithms together with their theoretical analyses is supported by computer simulations.
Spatiotemporal Spike Pattern Detection with Second-order Memristive Synapses

Spatiotemporal patterns of spike trains convey critical information in a biological neural network. Second-order memristive devices, whose internal state variables offer short- and long-term temporal dynamics, have been employed to natively decode the temporal correlation of spiking patterns through bio-realistic implementation of synaptic learning rules. In this work, we demonstrate that a single artificial postsynaptic neuron equipped with an array of second-order memristive synapses can localize a precise spatiotemporal firing pattern, which repeats irregularly within an equally dense background of Poisson spiking events, in an unsupervised fashion.
Predicting the popularity of TV-show through text mining of tweets

This paper presents a workflow validation method for data-intensive graphical workflow models using real-time workflow tracing mode on data-intensiveworkflow designer. In order to model and validate workflows, we try to divide as modes have editable mode and tracingmode on data-intensiveworkflow designer. We could design data-intensive workflow using drag and drop in editable- mode, otherwise we could not design but view and trace workflow model in tracing mode. We would like to focus on tracing-mode for workflow validation, and describe how to use workflow tracing on data-intensive workflow model designer. Especially, it is support data centered operation about control logics and exchange variables on workflow runtime for workflow tracing.
A Design of Detection Equipment on Fire Control Systems

Aiming at a series of problems such as difficulties in fault diagnosis and positioning, complex maintenance of the fire control system in the actual use of a new type of main battle tank, a fire control system detection equipment is designed for the status monitoring of the fire control system and the real-time storage of test data. By comparing test data and analysing abnormal problems that occur in the work of the fire control system, it realises the monitoring of the working status of the fire control system and provides effective data support for the next step of fault diagnosis and repair, which is of great value and obvious benefit to improving the efficiency of equipment security.
A Novel Low-Leakage ESD Power Clamp Circuit with Adjustable Transient Response Time

This paper proposes a novel hybrid-triggered electrostatic discharge (ESD) power clamp circuit. By co- optimizing the transient and static triggered paths, the proposed circuit can achieve transient response time over 6 times longer than that of traditional transient circuit in the same footprint, thus greatly improving area efficiency. The trigger circuit (TC) area of the proposed circuit reduces 50% compared to the baseline circuit. In addition, the circuit achieves high false- trigger immunity and low leakage current of 7 nA. The proposed circuit achieves adjustable transient response time to accommodate different ESD events with high flexibility. All the studied circuits are fabricated using a 28-nm CMOS process. To verify the proposed circuit, the simulation and test results are analyzed in detail for this paper.
Efecto inmediato de la auto-liberación miofascial en la superficie plantar sobre la musculatura isquiosural en futbolistas

Las adherencias en ciertas zonas musculares generan tensiones en otras musculaturas de la misma cadena muscular. El objetivo del estudio es probar el efecto inmediato de la “Auto-liberación Miofascial” (SMR) con la técnica de pelota de golf en la fascia plantar en deportistas federados de “Fútbol 11” (FU) y “Fútbol Sala” (FS) y su incidencia sobre la musculatura isquiosural. Además, se analizó las diferencias entre cada modalidad. El diseño es de tipo experimental longitudinal, con una muestra de 20 deportistas federados. Los resultados muestran una mejora en la longitud alcanzada en el “Test Sit and Reach” (SRT) de forma significativa la SMR entre “Grupo Control” (GC) y “Grupo Experimental” (GE). Entre modalidades no se aprecian diferencias significativas. Se concluye que existe un efecto inmediato de la SMR con la técnica de pelota de golf en la fascia plantar sobre la musculatura isquiosural. No existiendo diferencias significativas entre modalidades. Adhesions in certain muscle areas generate tension in other muscles of the same muscle chain. The aim of the study is to test the immediate effect of the “Self-myofascial release” (SMR) with the golf ball technique on the plantar fascia in federated sportsmen of "Football 11" (FU) and "Futsal" (FS) and its influence on hamstring musculature. Besides, the differences between each modality have been analysed. The design is of the longitudinal experimental type, with a sample of 20 federated sportsmen. The results show significant improvement in the length reached in the “Sit and Reach Test” (SRT) after the SMR between "Control Group" (GC) and "Experimental Group"(GE). There are no significant differences between modalities. It is therefore concluded that there is an immediate effect of SMR with the golf ball technique on the plantar fascia over the hamstring muscle. There are no significant differences between modalities.
Mitigate Congestion of Wireless Sensor Network using Genetic Algorithm

Wireless Sensor Networks(WSN) are used in many application areas such as industrial and civilian. Sensors will be shared by multiple applications to collect several types of data. Not all data be equivalence in the important, some data may be more important than other so loss this data may cause problems . Packet losses and retransmissions resulting from congestion and cause loss important data and decrease the lifetime of sensor nodes. This problem need for control to reduce the loss data, energy consuming and etc. The main aim of this paper is to discuss how can use genetic algorithm(GA) to optimize the parameters that can affect on congestion in WSN and then evaluate the performance of network used AODV,DSDV,DSR and NOAH routing protocols by using NS-2 simulator.
Decreasing CO2 emissions from energy generation and consumption to achieve the Green Deal targets

After Covid-19 Pandemic, with an instable European geo-political context and a constant pressure to decrease the CO2 emissions, EU needs to implement explicite actions to limit its environmental impact. EU decarbonation is an ambitious proposal to make the bloc climate-neutral by 2050. This study aims to determine how can be improved the energy generation from RES considering important macroeconomic indicators. In the same time, the research shows the strong correlation between investments in research and development and decreasing of carbon emissions. One of the major conclusions of the research is that the best solution in increasing the production of energy that comes from RES, is the investment in R&D, especially in businesses and higher education sectors.
Synthesizing of the SERS-active substrates

We investigated the presence of plasmon resonances (PRs) for substrates with the metallic nanowires (NWs) that were obtained by the matrix (template) synthesis method in the pores of the track membranes. We found experimentally that the location and width of the PRs depend on the diameter of the NWs and on the distance between them. The presence of PRs indicates the potential applicability of such substrates as SERS-active substrates.
Visualization Analysis on Non-profit Organization Research in China (1994-2014): Based on Co-words Analysis and Knowledge Mapping

This study uses nearly two decades literature’s theme is non-profit organization on CNKI as data source, selects the high frequency keywords in order to build a co-words matrix, then co-words matrix will be converted to a correlation matrix and dissimilarity matrix. On this basis, taking advantage of SPSS to complete cluster analysis and multidimensional scaling analysis, using UCINET and NETDRAW to draw out the knowledge mapping of nonprofit organization. Through the co-words analysis and social network analysis, the result finds out the main organization types be studied, and that the study of non-profit organization focused on three aspects: the research of non-profit organizations’ management mechanism, the research of nonprofit organizations’ social functions and theories, the research of the relationships among government, market and non-profit organization.
Design of A 10-Bit, 2GS/s Current-Steering Digital-to-Analog Converter with OnLine Current Calibration

This paper presents a 2 GS/s digital-to-analog converter designed at 1 V in 28nm, targeting an ethernet PHY IP. The 10-bit current-steering digital-to-analog converter (DAC) is a segmented implementation, comprising 6+4 bits of binary-weighted and thermometer coded sections for the LSB and MSB codes respectively. The converter is based on a unit cell with cascoded current source and always-ON switches, to enhance static linearity performance and minimize dynamic errors. The calibration approach for amplitude correction partitions the DAC unit cells in larger blocks and compensate the tail current source variation with an internal current DAC (CALDAC). The design approach demonstrates good linearity with SFDR in the region of 70 dB in low-frequency input signals, which degrades to 49.4 dB at Nyquist frequency, and the DAC shows a maximum DNL of less than 0.5. The maximum differential output swing is 0.35 $\mathrm{V}_{\mathrm{pp}}$
A Reconfigurable 8T SRAM Macro for Bit-Parallel Searching and Computing In-Memory

This work presents BP-SCIM: a reconfigurable 8T SRAM macro for bit-parallel searching and computing in-memory (CIM). BP-SCIM can perform in-memory Boolean logic, arithmetic, and content-addressable memory (CAM) operations. Novel peripheral circuits and algorithms are proposed to support complex arithmetic operations such as multiplication and division. A $256\times 64$ BP-SCIM test chip was implemented in 65-nm CMOS technology. The 8-bit addition and 8-bit multiplication operations can achieve the best energy efficiency of 3.11 TOPS/W and 0.17 TOPS/W, respectively at 0.7 V supply. For the binary CAM search operation, BP-SCIM can achieve the minimum energy consumption of 0.91 fJ/bit/search at 87 MHz and 0.8 V supply.
A 0.7 μm-Pitch 108 Mpixel Nonacell-Based CMOS Image Sensor with Decision-Feedback Technique

This paper describes a 108 mega pixels (Mp) CMOS image sensor (CIS) for mobile phone applications. The 0.7 $\mu$m-pitch pixel array ($12000\times 9000$) is composed of nona-cell ($3\times 3$ unit pixel structure) cluster with binning capability for maximum light absorption. In considerations of the trade-off between area occupation and frame rate, the column-parallel topology with thousands of single-slope ADCs is chosen for the digitizer. To suppress the horizontal noise (HN) source, an ADC decision-feedback technique is proposed to minimize the current consumption difference between before and after the ADC decision. Furthermore, with the decision-feedback loop, which is implemented in each of the comparators of the ADC array, analog power consumption can be also reduced. Top pixel and bottom digitizer chips were fabricated in 65 nm and 28 nm process technologies, respectively. The measurement results of the 3-D stacked prototype imager show an input-referred random noise (RN) of 1.4 $\mathrm{e}_{\mathrm{rms}}^{-}$ with an analog gain of 16 and a frame rate of 10 fps. A suppressed RN of 0.44 $\mathrm{e}_{\mathrm{rms}}^{-}$ is also achieved with a nona-binning. The column fixed-pattern noise (FPN) of the 108 MP imager is only 66 ppm. The high-resolution image sensing system with the decision-feedback technique achieves a figure-of-merit (FoM) of 0.71 e.nJ.
ENERGY AWARE ZONE ROUTING PROTOCOL FOR MANET

Mobile Ad hoc Network (MANET) is a dynamic network consisting of a collection of wireless mobile nodes that communicate with each other without the need of centralized authority. Each node can send and receive data, and it should also forward routing information unrelated to its own use. Routing protocols in MANET establish path between source and destination based on number of hops. Establishment of shortest path alone is not sufficient to prolong the network lifetime. Energy consumption reduction methods are necessary as the nodes in MANET are restricted by battery supply. Energy is drained when the MANET nodes transmit and receive the data. For itself, energy management techniques are necessary in order to improve the performance of the routing protocol. Both proactive and reactive protocols have trade-off in them. ZRP is a hybrid protocol which overcomes the shortcomings of proactive and reactive routing protocols. ZRP divides the entire network into zones of variable size where routing inside the zone is performed using proactive routing approach and exterior to zone is performed using reactive routing approach. The performance characteristics of the ZRP protocol are established through simulations by comparing it to well-known routing protocol namely AODV.
Advanced safety test solution for automotive SoC based on In-System-Test architecture

An increase in automotive design complexity and safety requirements are highly attributed to the enforcement of ISO 26262 standards. This requires an advanced SoC DFT architecture with Power-On-Self-Test (POST) during power-up sequences and In-System-Test (IST) during functional operation. The designed DFT architecture must satisfy the factors such as high test coverage, faster run time, and safe isolation of the target test logic while supporting memory BIST, incremental memory repair, and logic BIST. In this paper, we propose an advanced safety test solution for an effective in-field POST, IST, and manufacturing testing that also meets the quality and reliability standards defined by ISO 26262.
A Versatile In-Ear Biosensing System for Continuous Brain and Health Monitoring

To enable continuous, mobile health monitoring, body worn sensors need to offer comparable performance to clinical devices in a lightweight, unobtrusive package. This work presents a complete wireless electrophysiology data acquisition system (weDAQ) that is demonstrated for in-ear EEG with user-generic dry-contact electrodes made from standard printed circuit boards (PCBs). Each weDAQ device supports 16 channels, driven right leg, impedance scanning, 3-axis accelerometer data, local storage, high sampling rates, and adaptable data transmission modes. The weDAQ wireless platform supports body sensor networks (BSN) capable of aggregating multiple biosignal streams (EEG, EMG, EOG, etc.) by supporting simultaneous connectivity of multiple worn devices over the 802.11n WiFi protocol. Each channel achieves 28dB of gain over 70Hz bandwidth with a noise level of 0.92 μ Vpp and CMRR of 110.8 dB. In-ear and forehead EEG measurements taken from subjects captured modulation of alpha brain activity, EOG characteristic eye movements, and EMG from jaw muscles. The small footprint, performance, and flexibility of the weDAQ lay the foundation for online brain computer interface (BCI) experiments and smart, multimodal biosignal monitoring.
Truncated Edge-based Color Constancy

In this paper we propose the truncated edge-based color constancy. It is based on, and extends, the edge-based framework by introducing the use of truncated Gaussian filters. The truncation level can be controlled with the use of a dedicated parameter that is added to the other three parameters existing in the edge-based framework, namely the derivative order, the standard deviation of the Gaussian filter, and the Minkowski norm. Experimental results on two standard dataset for color constancy show that the truncated edge-based framework allows to achieve the same or higher illuminant estimation accuracy of the edge-based framework considerably reducing the number of operations.
Augmented Reality in a Virtual Reality Setup: The Camera

Augmented Reality equipment is currently growing and showing a lot of promise. However, the equipment suffers from a few aspects: lag, range of vision and price. In this report an Augmented Reality system will be made by connecting two cameras through an FPGA to the VR system to cover all aspects that Augmented Reality suffers from. While the project is currently an unfinished project, once the cameras work, the decrease in lag can be tested.
Análise, projeto e implementação de um D-STATCOM para redes de distribuição monofásica

Master Thesis Programa de Pós-Graduação em Engenharia Elétrica Universidade Federal de Santa Maria ANALYSIS, DESIGN AND IMPLEMENTATION OF A D-STATCOM FOR SINGLE-PHASE DISTRIBUTION NETWORKS AUTHOR: TACIANA PAULA ENDERLE RESEARCH SUPERVISOR: CASSIANO RECH Santa Maria, July 31 th , 2012.
A High-Voltage Inverting Converter Based on COT Controlled Buck Regulator with On-Chip Ripple Compensation Technique

This paper presents a high-voltage inverting converter implemented by reconfiguring a buck DC-DC regulator. The negative output voltage is generated from a positive input voltage by exchanging the output and ground on a buck converter. In this way, the complexity of circuit design is greatly reduced. The converter adopts constant on-time control with on-chip ripple compensation and output DC offset elimination techniques to achieve fast transient response and highly accurate output voltage, which also allows the use of output capacitor with low equivalent series resistance (RESR). In addition, an internal bootstrap circuit for high-side driver is proposed in place of conventional LDO structure to improve the efficiency. The converter is fabricated in 0.18-$\mu$m BCD process. The input voltage is in the range from 5V to 48V. The measurement results show that the transient response is about 220$\mu$s and the overshoot or undershoot voltage is less than 190mV when the load transient between 100mA and 500mA for switching frequency of 300kHz, input voltage of 24V and output voltage of-12V.
Markov decision processes in artificial intelligence : MDPs, beyond MDPs and applications

Markov Decision Processes (MDPs) are a mathematical framework for modeling sequential decision problems under uncertainty as well as Reinforcement Learning problems. Written by experts in the field, this book provides a global view of current research using MDPs in Artificial Intelligence. It starts with an introductory presentation of the fundamental aspects of MDPs (planning in MDPs, Reinforcement Learning, Partially Observable MDPs, Markov games and the use of non-classical criteria). Then it presents more advanced research trends in the domain and gives some concrete examples using illustrative applications.
Shadow PUFs: Generating Temporal PUFs with Properties Isomorphic to Delay-Based APUFs

Physical Unclonable Functions (PUFs) are popular hardware security primitives that offer lightweight authentication for constrained devices. However, lightweight PUF-based authentication often limits the number of authentications provided or even throttle the device to prevent adversaries from collecting enough information that could compromise the device’s security. This work introduces a Shadow PUF design, a controlled Strong PUF, to secure challenge-response exchanges against attackers and allow for an unlimited generation of unique responses. The proposed Shadow PUF design ensures security by periodically reconfiguring its behavior. The reconfiguration bits are generated by a static PUF primitive and are never exposed, while all authentication exchanges are done using the reconfigurable Shadow PUF. An ASIC Synthesis of the Shadow PUF demonstrates its small implementation area requirements and low power consumption. The security of the proposed PUF design against modeling attacks has also been analyzed.