Miracle-dz/UniFAR-FTUs huggingface dataset:
ISO/IEEE 11073 Personal Health Device (X73-PHD) Standards Compliant Systems: A Systematic Literature Review

Since the introduction of the ISO/IEEE 11073 personal health device (X73-PHD) standards, as part of ISO/IEEE 11073 family of standards, it has been applied to many health systems developed for personal use. In this systematic literature review, we review existing literature collected using three databases: Scopus, Pub Med, and Web of Science. We propose a classification for personal health systems based on the location in which they are used, the technology used to develop them, and the purpose which is determined by the targeted users. We found 51% of the devices used in such systems are standardized while approximately 40% are not and five systems did not specify the device status (9%). Various adaption techniques were used for standardization. Besides, the pulse oximeter is the most used device in such systems since it was used in 43% of them. In addition, we present the role of the X73-PHD standards in the Internet of Things (IoT) and tele-healthcare systems, discuss the challenges of utilizing this set of standards in health monitoring systems and converting the non-standardized devices into standardized ones. Finally, we propose the requirements of personal health systems based on our review of the literature.
The Asymmetrical Split Phenomenon of the Odd and Even Modes and Its Application to UWB HTS Filters

This paper analyzes the asymmetrical split phenomenon of the odd and even modes in microstrip for closely coupled resonators. In general, when two resonators are coupled, the odd- and even-mode split is asymmetrical. This paper finds that, for two closely coupled resonators, odd mode always changes faster than even mode. This asymmetrical phenomenon is first predicted by using the effective capacitances of the even and odd mode. Then, the electric, magnetic, and mixed couplings are all discussed to demonstrate this phenomenon. Numerical results help us to control the odd mode in a wide range. This paper presents an ultra-wideband filter by using the interdigital coupled structure for the first time. A high-temperature superconducting filter operating at 7 GHz with −3 dB FBWs of 103% is designed and fabricated. Measured results show good performance and agree well with the simulations.
DATE: A Decentralized, Anonymous, and Transparent E-voting System

A trusted electronic election system requires that all the involved information must go public. However, it focuses not only on transparency but also on privacy issues. In other words, each ballot should be counted anonymously, correctly, and efficiently. In this work, an effective e-voting system is proposed for voters to minimize their trust in the authority or government. We ensure the transparency of election by putting all messages on the Ethereum blockchain; in the meantime, the privacy of individual voter is protected via an effective ring signature mechanism. Besides, the attractive self-tallying feature is also built in our system, which guarantees that everyone who can access the blockchain network is able to tally the result on his own, i.e., no third party is required after the voting phase. More importantly, we ensure the correctness of voting results and keep the Ethereum gas cost of individual participant as low as possible, at the same time. Moreover, the pre-described characteristics of stealth address in our system makes it more suitable for large-scale election on line.
Analytical Modeling of Process Variability in Subthreshold Regime for Ultra Low Power Applications

Performance variations induced by increasing process variability in advanced process nodes have become a major barrier to performance enhancements due to device scaling. The growing impact of variability on CMOS devices manifests as large variations among all performance metrics such as delay, power dissipation, reliability and yield. Further, the subthreshold circuit design is emerging as a potential solution for ultra low power applications with low to moderate performance requirements. High levels of unpredictability of key metrics in advanced process nodes is accentuated in subthreshold regime, leading to circuit design becoming that much more challenging. In order to mitigate the risk of process variability and to enhance the predictability of circuit design, accurate and reliable modeling of process variability is critical. The variability in threshold voltage (Vth) and gate length (Lg) of the device are considered, as their variability is reported to be dominant. An analytical delay variability model to evaluate the effect of variations in electrical and geometry parameters of the device on circuit delay estimation in the subthreshold regime, with DIBL considerations, is proposed. The variability in rising and falling edge delay of static CMOS inverter is characterized by using an extensive Monte Carlo analysis based on the proposed analytical model and the model is validated against Monte Carlo SPICE simulations in 32 nm PTM technology. The model predicted delay mean is within an error of 1.97% for τpHL and −2.70% for τpLH for 20% variability in Vth and Lg each. The simplicity and accuracy of the delay variability model resulting in tighter delay distributions demonstrates better predictability of circuit design in the presence of process variations.
Reconfigurable Mode Converter Using Two Silicon Y-Junction Couplers for Mode Division Multiplexing Network

Mode converters are one of the most fundamental and indispensable components in the mode division multiplexing system. We design a new mode converter that is capable of converting between mode TE0 to TE1/TE2 or TE1 to TE1/TE2 with the performance achieved in both cases over 99% at the wavelength 1550nm. Not only conversion efficiency is high but also the effect of the unwanted modes at the output is very small, it is always below 0.03dB. In addition, with outstanding advantages of the proposed structure such as large manufacturing tolerances and compact size will be good candidate for applications in on-chip MDM network.
Review of Automatic Emotion Recognition Through Facial Expression Analysis

Nowadays, the social intelligent machine is developed to be more human-like by understanding human emotion. Therefore, many researches attempt to capture nonverbal signals which visually appears on facial expressions to recognize human emotions. Face is being explored because face mostly reveals the emotion contains in it. Many researches on facial expression recognition have been done and delivered optimistic results, however continuous research must be afforded to increase the performance of some methods. This paper is written as a part of doctoral research study on human emotion recognition as an effort to depict and elaborate the roadmap of research on automatic emotion recognition. In this paper, firstly we describe about Social Signal Processing as the emotion recognition domain. Secondly, the analysis of a human emotion model. Thirdly, the method of Facial Expression Recognition (FER), followed by the description about state of the art research on FER. Lastly, we explore about the prospect of the next research on FER as a part of the development on this field.
Designing and signal processing of intelligent inspection pig applying magnetic flux leakage methods

Abshacf-Aiming at the pipeline safety evaluation, this paper describer a magnetic flux leakage(MFL) model of pipeline defects inspection, designs a MFL intelligent inspection pig to inspect different pipelines. The intelligent Pig includes driver mbof system contmUer, data pmcssor and etc. It can be used for multi-radius pipelines and various work conditions It has high sensitivity for adopting multi-sensor data fusion. The structure design of the intelligent pig and its signal processing are discussed. Dimerent representation to various scale spectrums of noise and MFL signal is utilized to get rid of the noise based on Wavelet transform. For the multiscale and multiresolution features of orthogonal wavelet, signals are decomposed to independent frequency strips, an algorithm to recognize defect parameters based on wavelet basis function WBF) neural network is given. Applying the theory to eliminate noise and predict defect pmfdes fmm experimental MFL signals are presented. Kepvoni-magnetic pia lea! mge(MFL), intelligent pig &xi- mbot,
A Novel Dual-Band Zero-Phase True Crossover With Arbitrary Port Impedance

A novel dual-band true crossover that can match with any impedance presented at its input and output ports is proposed in this letter. To break through the conventional 50- $\Omega $ reference port impedance constraint, a planar crossover with a zero-phase delay in the transmission is designed first at a single operating frequency. The proposed single-band zero-phase crossover consists of outer branch lines and inner crossed lines, and the design parameters for each line are obtained by applying the even-odd mode analysis method. Second, the dual-band function is implemented on the proposed zero-phase crossover by replacing each line with dual-band transmission line, which has two series sections and one shunt section. A prototype of dual-band zero-phase crossover operating at 2.15 and 4.1 GHz is designed, fabricated, and measured. The simulation and measurement results agree well with each other to prove the design concept.
A Reconfigurable Switched-Capacitor DC-DC Converter and Cascode LDO for Dynamic Voltage Scaling and High PSR

Dynamic voltage scaling with fully-integrated voltage regulator is widely adopted in digital systems for energy-efficient computing. This paper presents a fully-integrated reconfigurable switched-capacitor (SC) power converter with a cascode low-dropout regulator (LDO) mode for much improved power supply rejection (PSR). By reusing two power switches in a typical SC converter, an LDO with cascode power transistors can be realized with negligible area and power overhead, achieving good PSR and transient performances. This work is designed in a 28nm bulk CMOS process. The cascode LDO exhibits −40dB PSR up to 10MHz, and −25dB worst case PSR for all frequencies, with only 200mV dropout voltage and 90μA quiescent current.
VLSI Components with Fault Mitigation Design. RTL Model and Synthesis

The fault mitigation for modern embedded systems developed by thin design rules (40 nm and less) is necessary feature due to accelerating aging and manufacturing defects, for which diagnosis during the chip testing at fabric is impossible. One of the most used methods to provide fault mitigation is spatial redundancy. Main parameter to measure strength of mitigation is probability to fail, or mean time between failures (MTBF). One of the important and critical parameters in VLSI is area. Area is a hardware cost of spatial redundancy. To implement VLSI with necessary parameters of fault mitigation and area some approaches may be used during hardware description and its synthesis. In addition, some important point need to be taken in account. This article considers these approaches and points
Secrecy Performance of Cognitive Radio Sensor Networks with an Energy-Harvesting based Eavesdropper and Imperfect CSI

From the point of physical layer security, we investigate the secrecy performance of cognitive radio sensor networks (CRSN) with an energy harvesting (EH) based eavesdropper. The closed-form expressions of secrecy outage probability (SOP) are derived when considering the imperfect channel state information (CSI) of secondary user links and the constraint cases of the transmit power of secondary users. One constraint case is that the transmit power is limited by the interference threshold of primary user receiver to protect the primary communication; the other is that the transmit power equals the minimum one in the interference power threshold of primary user receiver and the maximal transmit power of secondary users by considering the practical condition of secondary user transmitters. Meanwhile, the power splitting factor of EH at the eavesdropper is derived to obtain the maximal eavesdropping capacity. The effect of the channel state, the interference threshold of primary user receiver, and the splitting factor of EH is analyzed on the SOP.
Parallel Operation of Flywheel Energy Storage Systems in a Microgrid using Droop Control

New concepts of power generation have been modified since the advent of the terminology of the microgrid. In which the latter allows the clustering of many distributed generation units, storage systems along with power electronic converters and loads where all the previous units are connected to/disconnected from the distribution level at one point called point of common coupling (PCC) via a static transfer switch. This new paradigm enables to resolve many technical, economical, and environmental issues. However, the weakest link in the microgrid is the storage systems and how they work together to feed properly loads in islanded or grid-connected modes. In this context, this paper proposes a microgrid constituted of two flywheel energy storage systems (FESS) where each one of them can be connected either to a photovoltaic (PV) array or to a wind turbine. The sharing power within the studied microgrid is relied on the droop control method. The simulation results have been carried out using MATLAB/Simulink software and have proved the effectiveness of the proposed control to meet the load needs in an equal manner without resorting to the use to communications link between different units based mainly on FESS.
A Mobile Application for Dog Breed Detection and Recognition Based on Deep Learning

Deep learning provides the ability to train algorithms (models) that can tackle the problems of data classification and prediction based on deriving (learning) knowledge from raw data. Convolutional Neural Networks (CNNs) provides one commonly used approach for image classification and detection. In this work we describe a CNN-based method for detecting dogs in potentially complex images and subsequently consider the identification of the type/breed of dogs. The results achieve nearly 85% accuracy for breed classification for a set of 50 classes of dogs and 64% accuracy for 120 other less common dog types. An iOS application and associated big data processing infrastructure utilizing a variety of GPUs was used to support the image classification algorithms.
Identity Based Approach Under a Unified Service Model for Secure Content Distribution in ICN

Various schemes have been proposed for secure content delivery and access control in Information-Centric Networks (ICN). However, it is not trivial to compare their performances due to the lack of unified service model and consistent implementation methods. In this paper, a general service model merging publish-subscribe pattern with ICN framework is proposed to enable performance evaluation of different access control schemes or various implementations. In addition, an identity based hybrid approach under this model is designed and analyzed, in which the content to be delivered is encrypted using a symmetric secret key, which is then protected by an identity-based encryption scheme together with the license to play the content, and later distributed to consumers as requested. Finally, this approach and two existing schemes are implemented on a common cryptography library, and evaluated. Test results show that the proposed approach exhibits better performance and higher energy-efficiency in mobile terminals than those existing ones.
Energy Density Method: An Approach for a Quick Estimation of Quench Temperatures in High-Field Accelerator Magnets

Accelerator magnets for future particle accelerators are designed to work with as high energy densities as possible to achieve high fields and compact magnet designs. A key factor limiting the energy density is given by the protection in case of a quench: If a quench occurs, the stored energy must be first absorbed by the windings, and the magnet temperature shall not exceed a given limit. In this paper, we present a back-of-the-envelope method for estimating the magnet's maximum temperature after a quench based on its stored energy. The method combines the existing concepts of MIIT (Mega<sup>*</sup>current<sup>*</sup>current<sup>*</sup>time), time margin, and protection delay to allow for an easy and direct calculation of the hot-spot temperature. We apply the proposed method to several <inline-formula><tex-math notation="LaTeX">${\text{Nb}}_{3}{\text{Sn}}$</tex-math></inline-formula> dipole and quadrupole magnets developed for the high luminosity Large Hadron Collider and the Future Circular Collider for hadron–hadron collisions and compare the results to a more detailed simulation. The proposed energy density method is a useful tool for fast feedback in the early magnet design phase to ensure that the magnet is not impossible to protect.
A Survey on the Progress of Testing Techniques and Methods for Wireless Sensor Networks

Information-centric wireless sensor networks’ test bed is of vital significance. As a novel communication model, it can effectively test and reliably assess different algorithms, protocols, and applications of wireless sensor networks before deployment. Furthermore, detecting problems, ensuring stable operations, and reducing maintenance costs can also be attained. It is a promising architecture. Through the tests of the platform, new ideas are provided for the development of wireless sensor networks of the Internet of Things (IoT) and for the improvement of the performances of the IoT. An information-centric network is a promising branch of future Internet architecture, and its naming, naming routing, and intra-network caching are also suitable for wireless sensor networks. Recently, with the integration of such different key technologies as micro-sensor, communication, and simulation, test beds are becoming increasingly heterogeneous and complicated in large scale. Because of this, it is essential to know how to build a functional test bed by using the state-of-the-art infrastructure and technologies needed, so that there will be easier access to using and obtaining accurate testing results. In this paper, first, we summarize three aspects of the heterogeneous information-centric wireless sensor networks’ test bed, including its requirements, testing technologies, and performance evaluation; second, we describe the heterogeneity of the test bed from three perspectives, including hardware resources, software resources, and communication technologies; third, we analyze the composition and implementation of each recent representative heterogeneous test bed in detail and the adequate compactness and the satisfactions of the requirements with each other; finally, we point out the open research issues on heterogeneous test bed. We found that the current development of information-centric wireless sensor networks is full of challenges.
A Generic Receiver Architecture for MIMO Wireless Power Transfer With Nonlinear Energy Harvesting

This letter investigates a multiple-input multiple-output (MIMO) wireless power transfer system under practical nonliner energy harvesting (EH) models. We propose a new generic energy receiver (ER) architecture consisting of <inline-formula><tex-math notation="LaTeX">$N$</tex-math></inline-formula> receive antennas and <inline-formula><tex-math notation="LaTeX">$L$</tex-math></inline-formula> rectifiers, for which one power splitter is inserted after each antenna to adaptively split the received radio frequency (RF) signals among the <inline-formula><tex-math notation="LaTeX">$L$</tex-math></inline-formula> rectifiers for efficient nonlinear RF-to-direct current (dc) conversion. With the proposed architecture, we maximize the total harvested dc power at the ER, by jointly optimizing the transmit energy beamforming at the energy transmitter and the power splitting ratios at the ER. Numerical results show that our proposed design by exploiting the nonlinearity of EH significantly improves the harvested dc power at the ER, as compared to two conventional designs.
Blockchain for UAE Organizations: Insights from CIOs with Opportunities and Challenges

A blockchain is a distributed ledger and the underlying technology of the Bitcoin cryptocurrency, allowing it to operate in a decentralized fashion with no intermediaries such as financial institutions. The use of blockchain, however, will be far beyond the financial sector; smart contracts, for example would allow business and legal agreements to be stored and executed online. It is anticipated that blockchain will do to middle- and back-office functions what the Internet and the Web have done to the front-office – automate functions. In this paper, we investigate what Chief Information Officers (CIOs) think of blockchain and how they plan to utilize it for their organizations. We conducted a survey that was completed by 25 CIOs in the United Arab Emirates and found mixed feelings about the technology and barriers for use. In this paper, we also discuss opportunities and challenges in adopting blockchain.
Fuel Economy and Naturalistic Driving for Passenger Road Vehicles

The state-of-the-art eco-driving techniques does not take into account the naturalistic behaviour of human drivers. Therefore, in this paper, a unified driver model is proposed which describes the driver preference during car following and cornering cases. The model is formulated based on the optimal control theory. The fuel consumption model of a traditional vehicle with an internal combustion (IC) engine and CVT transmission is combined with the driver model. The proposed optimal controller is designed to generate speed profile and powertrain inputs, which gives a compromise between the driver preference and fuel economy. The simulation results demonstrate that eco-friendly speed profile and optimal powertrain input trajectories could be selected which has good fuel economy and matches the driver desires.
Text Generation from Abstract Semantic Representation for Summarizing Vietnamese Paragraphs Having Co-references

Generating new short text from an abstract semantic representation (ASR) of the input text is a further step in “abstractive” summarization direction. The summary will have high quality in the sense that having the expression structures are similar to human communication in the applied language. Two essential questions should be answered when following this idea: The mechanism for constructing appropriate ASR for source text? The mechanism for generating the summary? This article presents a method to solve these two questions when summarizing short Vietnamese texts with coreferences. Our approach consists of three main phases. The first phase is to build a graph which resolves all co-references and represents the input content. The second phase is to transform the graph into an output ASR. The final stage is to generate new Vietnamese sentences from ASR and complete the summary. The evaluation of summarization is performed automatically with Rouge indices and human assessment. Comparing to two-word graph-based summarization methods, the method in this study generates text relevant to the native speaker and contains rich information.