Miracle-dz/UniFAR-FTUs huggingface dataset:
Low-Power Motion-Vector Detection VLSI Processor Based on Pass-Gate Logic with Dynamic Supply-Voltage/Clock-Frequency Scaling

A new circuit technique based on pass-gate logic with dynamic supply-voltage and clock-frequency control is proposed for a low-power motion-vector detection VLSI processor. Since the pass-gate logic style has potential advantages that have small equivalent stray capacitance and small number of short-circuit paths, its circuit implementation makes it possible to reduce the power dissipation with maintaining high-speed switching capability. In case the calculation result is obtained on the way of calculation steps, additional power saving is also achieved by combining the pass-gate logic circuitry with a mechanism that dynamically scales down the supply voltage and the clock frequency while maintaining the calculation throughput. As a typical example, a sum of absolute differences (SAD) unit in a motion-vector detection VLSI processor is implemented and its efficiency in power saving is demonstrated.
First time calculation of the depletion region width and barrier capacitance of practical diffused semiconductor junctions

Based on semiconductor materials fundamental equations, the calculation of the depletion region width and barrier capacitance of practical diffused -Gaussian profile- semiconductor junctions was achieved for the first time in this work. The obtained formulas are valid for p-n junctions, Schottky junctions, hetero-junctions and other types of semiconductor junctions.
Learning Techniques in a Mobile Network

Because of the current evolution of society, people are increasingly on the move and need to communicate during their travels. This phenomenon has triggered greater demand and studies oriented towards the development of very sophisticated systems in order to respond to new user requirements. These requirements have indeed changed: if originally only voice was needed, wireless transmission demand providing reliable high definition sound, image and even high quality video communications has increasingly become popular with a large number of users. These users hope for mobility to be completely transparent in order to take advantage of performances similar to those from wired networks, despite the bandwidth greed of these new services.
Fuzzy Control and Modeling: Analytical Foundations and Applications

From the Publisher: "The emerging, powerful fuzzy control paradigm has led to the worldwide success of countless commercial products and real-world applications. Fuzzy control is exceptionally practical and cost-effective due to its unique ability to accomplish tasks without knowing the mathematical model of the system, even if it is nonlinear, time varying and complex. Nevertheless, compared with the conventional control technology, most fuzzy control applications are developed in an ad hoc manner with little analytical understanding and without rigorous system analysis and design.Fuzzy Control and Modeling is the only book that establishes the analytical foundations for fuzzy control and modeling in relation to the conventional linear and nonlinear theories of control and systems. The coverage is up-to-date, comprehensive, in-depth and rigorous. Numeric examples and applications illustrate the utility of the theoretical development. In the forward to Fuzzy Control and Modeling, Professor Lotfi Zadeh, the founder of fuzzy logic, declares:? Professor Ying? s book contains much that is new, important and detailed? His linkage of basic theory to real-world applications is very impressive? The last chapter in the book deals with a subject in which Professor Ying is a foremost authority, namely, application of fuzzy control to biomedical systems? Professor Ying? s work should go a long way toward countering the view that fuzzy control is a collection of applications without a solid theory. The deep theory of fuzzy control developed by Professor Ying is of great importance both as a theory and as a foundation for major advances in applications of fuzzy control in industry, biomedicine, and otherfields. Important topics discussed include: *Structures of fuzzy controllers/models with respect to conventional fuzzy controllers/models* Analysis of fuzzy control and modeling in relation to their classical counterparts*Stability analysis of fuzzy systems and design of fuzzy control systems*Sufficient and necessary conditions on fuzzy systems as universal approximators*Real-time fuzzy control systems for treatment of life-critical problems in biomedicineFuzzy Control and Modeling is a self-contained, invaluable resource for professionals and students in diverse technical fields who aspire to analytically study fuzzy control and modeling.About the AuthorHao Ying left the faculty of University of Texas Medical Branch in 2000, and is currently an associate professor in the Department of Electrical Engineering at Wayne State University. He began fuzzy control research in 1981. In 1987, Dr. Ying established the world? s first analytical connection between a fuzzy controller and a conventional controller. In 1989, he developed the world? s first clinical fuzzy control application ? real-time control of blood pressure. Dr. Ying has been making systematic contributions to analytical issues fundamental to fuzzy control and systems ever since. "Sponsored by:IEEE Engineering in Medicine and Biology Society.
Some analytic approximations for backward stochastic differential equations

We consider an analytic iterative method to approximate the solution of the backward stochastic differential equation of general type. More precisely, we define a sequence of approximate equations and give sufficient conditions under which the approximate solutions converge with probability one and in pth moment sense, p ? 2, to the solution of the initial equation under Lipschitz condition. The Z-algorithm for this iterative method is introduced and some examples are presented to illustrate the theory.
Type II Diabetes Prediction using Combo of SVM

In 21th century, IT plays a very important and helpful role in health care industries acting as a savior to human life. Data mining and machine learning are two sides of healthcare-IT. Proposed system considers one of the most common chronic diseases called diabetes. India and almost all other countries are worried about diabetic patients, so diabetes can termed as a global chronic disease. In this paper, well-known predictive machine learning techniques viz. SVM, Random Tree and ANN are applied on PIMA dataset. Results of SVM, ANN, and RT are 90.1%, 88.02%, and 83.59% respectively
The design and operational performance of a climbing robot used for weld inspection in hazardous environments

This paper describes the design and performance of a radiation tolerant climbing robot commissioned for inspecting gas duct internals at nuclear power stations. The robot uses a sliding frame mechanism actuated by servo motors for precise positioning of the frame, and pneumatic cylinders for powering the legs. The vehicle can operate at any orientation whilst negotiating compound curves. The vehicle has an interface for tool packages, those described are: a grinding tool and a non-destructive testing tool for ultrasonic weld inspection. The robot is tele-operated with automatic inspection capabilities. Operational techniques and results from completed inspection programmes are detailed.
Constraints on Crustal P Wave Structure With Leaking Mode Dispersion Curves

Classic surface wave imaging relies mainly on the dispersion of Rayleigh waves or Love waves. In addition to these types of waves, waveforms that arrive prior to the S wave also exhibit dispersion. These early dispersed waves are controlled mainly by the leaking modes and are rarely used for imaging. We applied the frequency‐Bessel transform method to waveforms that arrive before the S wave and successfully extracted multiple leaking mode dispersion curves. The extracted “0th” mode shows continuous sensitivity to S wave velocity (Vs) and mass density structure whereas the “higher” modes behave more like surface waves that are sensitive to P wave velocity (Vp) structure in the crust. Thus, the “higher” modes can be used to invert the Vp structure, which can compensate for the fact that conventional surface wave imaging methods are mainly sensitive to Vs structure.
Guide to road design: part 6: roadside design, safety and barriers

The Guide to Road Design - Part 6: Roadside Design, Safety and Barriers provides an introduction to roadside design and in particular guidance on roadside safety and the selection and use of road safety barrier systems. Roadsides have to accommodate many features that support the road and the safe and efficient operation of traffic, and have to be designed with regard to environmental requirements. Part 6 should therefore be read in conjunction with the following parts of the Guide to Road Design that are briefly described in Section 2 of this guide, namely: 1. Part 6A: Pedestrian and Cyclist Paths; 2. Part 6B: Roadside Environment. Part 6 provides information to enable designers to understand principles that lead to the design of safe roads, identify hazards, undertake a risk assessment process of roadside hazards, establish the need for treatment of hazards and determine the most appropriate treatment to mitigate hazards. Methods of evaluating roadside hazards and the effectiveness of treatment options are summarised and references are provided for detailed information on project evaluation. A comprehensive design process, guidance and design considerations are provided for the selection of a suitable road safety barrier and for the lateral and longitudinal placement of road safety barrier systems.
Comparison of Plain Piezoceramics and Inter-digital Transducer for Crack Detection in Plates

The use of piezoceramics transducers (PZTs) for non-destructive evaluation (NDE) via Lamb waves has attracted significant attention recently in view of its favorable sensing and actuating characteristics. A comprehensive strategy to locate and trace the geometry of cracks in plates has been developed earlier using either plain piezoceramics or interdigital transducers (IDTs) based on time of flight analysis of incident and reflected waves. In this article, a comparison of the two techniques is presented based on results from laboratory experiments. Cracks of differing geometries, namely, linear crack, curved crack, and multiple cracks, on aluminum plates are considered. Comparisons of their detection capabilities are also made on a crack of fine width (220 μm) and cracks filled with impurities such as grease, araldite epoxy, metallic epoxy, and spray paint. Both techniques are applied in the case of weld where a notch is induced in the weld on an aluminum plate and the results obtained for the weld with and without the notch are compared. The results for all cases considered show that both the plain piezoceramics and IDT techniques can successfully detect and locate the cracks. Plain piezoceramics are able to provide accurate detection for linear, nonlinear, and piecewise linear cracks, and notch in weld. The geometries are traced with reasonable accuracy. However, IDT has been shown to be more accurate, procedurally simpler, and is an efficient alternative to plain piezoceramics.
Static Performance of SiGe HBTs at Low Temperature

—This paper analyse is the impact of cryogenic temperatures for SiGe Heterojunction Bipolar Transistors (HBTs) base, realised in BiCMOS9 0. 13μm industrial process. The use of these components in microwaves applications exposed to various temperatures is fundamental aspect to predict in precise way its electric characteristics. This paper investigates the temperature dependence from (170 K to 300 K) of DC, for NPN SiGe heterojunction bipolar transistors (HBTs) and notably modeling high performance Si/SiGe HBT for telecommunication and radar detection (>0.5THz) in low temperature (cryogenic temperature).
Relations between losses in piezoelectric ceramic and the magnitude of itsvibration level

In the paper the method of the mechanical and electrical loss measurements using a piezoelectric transformer has been applied to determine the relations between the losses and the magnitude of the vibration velocity, strain and stress. The measurements and calculations have been realized for the soft and hard PZT-type ceramics. Good accordance of the obtained results with the results obtained by the other authors, applying different measurement methods, proves the usability of the method of loss measurements proposed by the author.
Moving Towards Probability Forecasting

This paper proposes an international collaboration between researchers in academia and policymaking institutions to stimulate and coordinate research on probability forecasting in macroeconomics, developing a toolbox for short-term prediction. The toolbox should include time series models, methods for forecast combination, and techniques for probabilistic forecast evaluation in order to reduce the setup costs and risks to both individual researchers and policymaking organizations. A particular emphasis should be placed on replication studies with the toolbox so that central bankers can be sure that they are utilizing best practice techniques to produce probabilistic forecasts of events of interest. Full publication: Globalisation and Inflation Dynamics in Asia and the Pacific
MOOCs Completion Rates and Possible Methods to Improve Retention - A Literature Review

Many MOOCs initiatives continue to report high attrition rates among distance education students. This study investigates why students dropped out or failed their MOOCs. It also provides strategies that can be implemented to increase the retention rate as well as increasing overall student satisfaction. Through studying literature, accurate data analysis and personal observations, the most significant factors that cause high attrition rate of MOOCs are identified. The reasons found are lack of time, lack of learners' motivation, feelings of isolation and the lack of interactivity in MOOCs, insufficient background and skills, and finally hidden costs. As a result, some strategies are identified to increase the online retention rate, and will allow more online students to graduate.
Allergen Determination with Detection of Serum Specific IgE in Dogs with Atopic Dermatitis from Samsun and Vicinity

It is aimed to detect allergen determination via serum specific immunoglobulin E (IgE) for the first time in dogs diagnosed as Atopic Dermatitis (AD) from Samsun and vicinity within this present study. Twenty one dogs with different age, breed and gender diagnosed with AD based up on the Favrot’s criteria. Serum samples of the dogs were analyzed by detection of serum specific IgE for determination of 20 different allergens. The effects of gender, age and the feeding routes for those 20 different allergens separately were analyzed. Based up on the grading of the allergens detected in 21 dogs with AD from Samsun and vicinity; results reflects that Dermatophagoides farinae was stated as first degree within a very high seropositivity rate (95%). Moreover, in varying degree of seropositivitiy rates of other allergens were also detected. Females showed statistically (p<0.05) higher positivity rate to the 20 th allergen, Ctenocephalides spp. more than males. Furthermore, we did not found any significant effects of age and feeding routes on the allergens in the dogs with AD (p>0.05). Dogs with AD from Samsun and vicinity had very high serum specific IgE levels against to the house dust and storage mites.
3D biomechanical tongue modeling to study speech production

The study of speech motor control from kinematic and acoustic signals collected from speakers requires an evaluation of the influence of the physical properties of the speech apparatus on the time variations of these signals. For this purpose, a 3D biomechanical tongue model is currently being developed at ICP. It is based on a 3D Finite Element mesh, in which 10 different tongue muscles are represented. The non-linear elastical properties of human tongue tissues are accounted for with hyperelastic characteristics and a large deformation modeling framework was chosen to accurately describe non-linear geometrical changes. The model is embedded in a realistic 3D geometrical description of the jaw and of the vocal tract walls, which are both considered as fixed and non deformable at the current stage of the model's development. In this paper, each modeling step is described and the impacts of the main tongue muscles on tongue shapes and vocal tract geometry are assessed through a number of various simulations. Their potential influences on speech motor control are discussed in the final section.
Multiple Marine Vehicle Deconflicted Path Planning with Currents and Communication Constraints

Abstract Recent research in multiple autonomous marine vehicle (AMV) applications shows that versatile path planning algorithms are of crucial importance to cooperative control scenarios. These algorithms need to be lightweight in terms of running time and capable of incorporating different factors influencing a given mission, like AMV dynamic constraints and environmental conditions. In addition, the path planner needs to take into account requirements imposed by multiple vehicle scenarios (of which collision avoidance is an important issue), and inter-vehicle communication constraints. Mission-related measures have to be incorporated additionally, such as minimization of energy usage over all participating AMVs, and simultaneous arrival of the AMVs at their designated target destinations, to name but a few. These aspects pose considerable challenges both from a theoretical and practical implementation standpoint. This paper presents a versatile path planning algorithm for deconflicted multiple AMV missions at sea, incorporating single vehicle dynamical constraints as well as an inter-vehicle communication constraint. Additionally, it takes into account unknown constant ocean currents, and gives an overview on time-coordinated path following, a a closed-loop methodology to execute the planned mission, reducing the need for replanning in the presence of disturbances. The paper finishes with an outlook on important future directions to advance the algorithm.
Expanding Dengue Vectors Through the Border of Dhaka City: Vector Breeding Grounds in Gazipur City Corporation, Bangladesh

With global expansion of vector borne diseases, dengue has emerged as a big health crisis and social problem in recent years in Bangladesh. Despite its endemicity since 2000, very few studies were conducted outside of the Capital Dhaka city regarding vector breeding status. Within this dark situation, the year 2019 reported the ever highest number of dengue cases of 101,354. Of them about 50% were from out of Dhaka. To reduce this burden, keeping the vector population density under threshold level is must. In the present entomological study, 100 houses were checked randomly from five areas of Gazipur City Corporation (GCC) during the month of September in 2019. Both of the Aedes vectors were found in all areas, but Aedes aegypti population was dominant. Rooftop garden and under construction site were identified as the most important vector breeding sites. Highly urbanized area (SA2) produced the highest and suburban area (SA4) produced the lowest Breteau Index (BI) of 110 and 15 respectively. The overall House Index (HI) and Breteau Index (BI) of the study areas were 16 and 49 respectively. Four kinds of containers, namely; cemented tank, drum, big earthen pot (chari) and buckets contained about 80 percent of immature Aedes and identified as key container among the positive containers. The Said study has identified comparatively higher number of Ae. aegypti breeding, which is potential for triggering any major outbreak. Further, large-scale surveillance in all administrative wards with a larger sample may indicate the real picture of vector infestation situation throughout the municipality. Bangladesh J. Zool. 49(1): 69-82, 2021
Scattering by a lossy dielectric cylinder in a rectangular waveguide

Electromagnetic fields in a rectangular waveguide containing a lossy dielectric cylinder are investigated by means of the orthogonal expansion method. The calculated results are provided by measurement. Resonance effects become visible through the frequency responses of the scattering parameters and understandable by patterns due to magnetic fields and Poynting vectors. The lowest resonance is nonsymmetric and can be used to realize tunable bandstop filters with a relative 3-dB bandwidth of about 0.04 and an attenuation of more than 40 dB. >
Sliding mode path control for an autonomous vehicle

A new path control algorithm for path tracking of autonomous vehicles (AV) is proposed, using both theoretical arguments and simulation experiments. The AV considered is a tricycle configuration with front driving and steering wheel, and two passive load-bearing rear wheels. A variable structure path control (VSPC) is used to maintain the AV's state trajectory on the desired path. The reference trajectory represents the sliding or switching surface. The front steering angle and the drive velocity are controlled using modified model reference adaptive control. The dynamic model of the AV and the unexpected disturbances are assumed to be completely unknown. Simulation results are presented to illustrate the usefulness of this algorithm.
Sequence Labeling With Meta-Learning

Recent neural architectures in sequence labeling have yielded state-of-the-art performance on single domain data such as newswires. However, they still suffer from (i) requiring massive amounts of training data to avoid overfitting; (ii) huge performance degradation when there is a domain shift in the data distribution between training and testing. To make a sequence labeling system more broadly useful, it is crucial to reduce its training data requirements and transfer knowledge to other domains. In this paper, we investigate the problem of domain adaptation for sequence labeling under homogeneous and heterogeneous settings. We propose MetaSeq, a novel meta-learning approach for domain adaptation in sequence labeling. Specifically, MetaSeq incorporates meta-learning and adversarial training strategies to encourage robust, general and transferable representations for sequence labeling. The key advantage of MetaSeq is that it is capable of adapting to new unseen domains with a small amount of annotated data from those domains. We extensively evaluate MetaSeq on named entity recognition, part-of-speech tagging and slot filling under homogeneous and heterogeneous settings. The experimental results show that MetaSeq achieves state-of-the-art performance against eight baselines. Impressively, MetaSeq surpasses the in-domain performance using only 16.17% and 7% of target domain data on average for homogeneous settings, and 34.76%, 24%, 22.5% of target domain data on average for heterogeneous settings.
Seed germination reports for Onopordum tauricum (Asteraceae)

Zitti, S. , Di Cecco, V. , Casavecchia, S. , Di Martino, L. & Aquilanti, L. : Seed germination reports for Onopordum tauricum Willd. [In Magrini, S. & Salmeri, C. (eds), Mediterranean plant germination reports – 2]. Fl. Medit. 30: 421-423. 2020. http://dx.doi. org/10.7320/FlMedit30.421 This study deals with the seed germination for Onopordum tauricum ( Asteraceae ). The cypselae were collected from two populations in the Marche and Umbria Region (Italy). The highest germination value (93.6%) was obtained after 24 hours of soaking in a 500 ppm GA 3 solution and then incubated at a constant temperature of 20°C with a 12/12h light-dark photoperiod.