Miracle-dz/UniFAR-FTUs huggingface dataset:
Optimizing Computational Resources for Edge Intelligence Through Model Cascade Strategies

As the number of interconnected devices increases and more artificial intelligence (AI) applications upon the Internet of Things (IoT) start to flourish, so does the environmental cost of the computational resources needed to send and process all the generated data. Therefore, promoting the optimization of AI applications is a key factor for the sustainable development of IoT solutions. Paradigms such as Edge Computing are progressively proposed as a solution in the IoT field, becoming an alternative to delegate all the computation to the Cloud. However, bringing the computation to the local stage is limited by the resources’ availability of the devices hosted at the Edge of the network. For this reason, this work presents an approach that simplifies the complexity of supervised learning algorithms at the Edge. Specifically, it separates complex models into multiple simpler classifiers forming a cascade of discriminative models. The suitability of this proposal in a human activity recognition (HAR) context is assessed by comparing the performance of three different variations of this strategy. Furthermore, its computational cost is analyzed in several resource-constrained Edge devices in terms of processing time. The experimental results show the viability of this approach to outperform other ensemble methods, i.e., the Stacking technique. Moreover, it substantially reduces the computational cost of the classification tasks by more than 60% without a significant accuracy loss (around 3.5%). This highlights the potential of this strategy to reduce resource and energy requirements in IoT architectures and promote more efficient and sustainable classification solutions.
A unique approach for solving sub-problems in flexibility analysis

In the design of a chemical process (CP), certain design specifications (for example those related to process economics, process performance, safety, and the environment) must be satisfied. During the operation of the plant, since design models have uncertainties associated with them, we need to ensure the flexibility of the CP. This means that within the region of uncertainty, all design specifications must be satisfied. In recent years, research has focused on the development of methods for flexibility analysis of the CP. There are three main sub-problems associated with flexibility analysis, namely evaluation of CP flexibility, evaluation of CP structural flexibility anddetermination of the optimal regime over which the flexibility of the CP is guaranteed. We have developed a general approach to solving the sub-problems based on the split and bound strategy.
Az elhízás kezelése és megelőzése: táplálkozás, testmozgás, orvosi lehetőségek Hazai szakmaközi

of the patients. The measurement of energy requirement, planning of diet and physical activities, available surgical methods and medications are described in detail with life style and mental support needed. The most important period in the prevention of obesity is the first 1000 days from conception. Other significant factors are the life style habits of the parents. Proper obesity prevention requires better coordination of primary health care, community and governmental activities. Obesity should be defined as morbidity, therefore stronger governmental support and more health-policy initiatives are needed, beside increasing number and developing of multidisciplinary centres.
Harmonic Interaction Between HVDC Converters and ac Power Systems

A technique is presented for calculating the harmonic interactive behaviour between HVdc and ac systems. The ac system is represented by discrete impedances at harmonic frequencies, and the calculations involve the repeated iteration of a large computer program representative of the interaction of generated ac harmonic currents with the ac system impedances and filters. Examples of computed harmonic conditions are presented, and the degree to which the harmonic behavior is dependent on the ac system impedances and filters is discussed for both normal and abnormal harmonics.
Active packaging as an opportunity to create package design that reflects the communicational, functional and logistical requirements of food products

The packaging of industrial food products is the most important means of transmitting a product's image and taste value. When the nature of its interface and its contents are the product of carefully planned imaging, the product has notable advantages in defining its image and product identity. Modern food trends dictate an ever‐increasing amount of services: The so‐called ‘functional packaging’ and ‘active packaging’ are prime examples of this service. The greatest innovation within this category of products consists literally of their interaction with food. These features create numerous fallbacks within all stages of the life‐cycle of a product, requiring a complex and multidisciplinary evaluation. The evaluation strategy of services which this packaging will offer to the consumer is still to be defined, and still to be identified within the key applications are the interests of the intermediary links of the production process. This requires the evaluation of the semantic and communicative aspects of the packaging which tend to be confused with the foodstuffs, the individualization of appropriate user profiles, control of logistical and location aspect of production, and a careful analysis of a comprehensive environmental balance, all issues that are parts of the objectives of the European project, Actipak. It is hoped, therefore, that the elaboration of these packaging systems will become a motive to try out a more knowledgeable and systematic design process for foodstuffs, in which innovative technology is used to provide effective benefits to the consumer. Copyright © 2000 John Wiley & Sons, Ltd.
Optimization under Moment, Robust, and Data-Driven Models of Uncertainty

B.Eng, Software Systems Engineering, Royal Melbourne Institute of Technology (2002) S.M. , High Performance Computations for Engineered Systems, Singapore-MIT Alliance, National University of Singapore (2004) Submitted to the Sloan School of Management in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Operations Research at the MASSACHUSETTS INSTITUTE OF TECHNOLOGY February 2010 c © Massachusetts Institute of Technology 2010. All rights reserved.
Wideband stubby monopole antenna for mobile phone

A novel stubby monopole antenna fabricated using a single metal plate is presented. A prototype of the proposed antenna with a cross-sectional area of 10/spl times/10 mm and a length of 20 mm is implemented, and the antenna shows a wide operating bandwidth of about 10.9 GHz, making it easy to cover the UMTS band and the 2.4/5.2/5.8 GHz WLAN bands for mobile/WLAN dual-mode operation of a mobile phone.
Compositional Spatio-Temporal PM2.5 Modelling in Wildfires

Wildfires are natural ecological processes that generate high levels of fine particulate matter (PM2.5) that are dispersed into the atmosphere. PM2.5 could be a potential health problem due to its size. Having adequate numerical models to predict the spatial and temporal distribution of PM2.5 helps to mitigate the impact on human health. The compositional data approach is widely used in the environmental sciences and concentration analyses (parts of a whole). This numerical approach in the modelling process avoids one common statistical problem: the spurious correlation. PM2.5 is a part of the atmospheric composition. In this way, this study developed an hourly spatio-temporal PM2.5 model based on the dynamic linear modelling framework (DLM) with a compositional approach. The results of the model are extended using a Gaussian–Mattern field. The modelling of PM2.5 using a compositional approach presented adequate quality model indices (NSE = 0.82, RMSE = 0.23, and a Pearson correlation coefficient of 0.91); however, the correlation range showed a slightly lower value than the conventional/traditional approach. The proposed method could be used in spatial prediction in places without monitoring stations.
VARIATION OF SEGMENTAL KINETIC ENERGY DURING THE EXECUTION OF GIANT SWINGS ON THE HORIZONTAL BAR WITH DIFFERENT SPEEDS

Introduction: In the giant swing on the horizontal bar, at the lower part of the rotation the kinetic energy obtained by the body is not enough to return to the initial position, i.e., above the bar, because of mechanical energy losses due to friction and air resistance. Furthermore, many acrobatic movements require a greater speed of swing. The aim of this study was to characterize the variation of segmental and global kinetic energy and to specify how the augmentation of kinetic energy was made possible to allow the performance. Methods and procedures: Three expert gymnasts performed several backward giant swings on the horizontal bar, in three experimental conditions characterized by speed : slow (S), natural (N) and fast (F) speed. Video tape (50 Hz) was used to analyze movements in the sagittal plane, from markers placed on several body segments according to anthropometric studies. Segmental and global kinetic energies were calculated with this mathematical formula : EcT(t) = Si [½miV2 Gi/R ] + Si [½Iiwi 2], R corresponding to the referential of the bar. Results and discussion: In all conditions, the main results were: 1) The rotational component of movement was weak (about 3% of the all kinetic energy), thus the augmentation of the mechanical energy was probably due to the translational component. 2) Concerning the traces of the kinetic energies, the patterns of the upper limbs and trunk were similar but differed with the lower limbs. Thus one can consider the body principally in two parts. 3) The variation of the kinetic energy of the upper body (head, arm, trunk) showed a break in the diminution phase which could explain the augmentation of global kinetic energy. Besides, the minimum and maximum values of the kinetic energy of the upper body changed with the speed of the movement, and, particularly, the amplitude of the minimum values, in augmentation, because of the above-mentioned break, were in correlation with the augmentation of the global mechanical energy. Conclusions: Although the major part of the global kinetic energy was due to the lower limbs, the upper body seems to be responsible of the augmentation of global kinetic energy.
Voice-Activated Dialing or Eating a Cheeseburger: Which is More Distracting during Simulated Driving?

We measured simulated driving performance for 26 participants who drove a fixed distance while continuously eating a cheeseburger, operating an automobile CD player, reading directions, or using a voice-activated dialing system to place calls on a mobile phone. Performance was also measured while participants drove without doing other tasks. Participants made the most lane-keeping errors, minimum speed violations, and glances away from the road while reading and while operating the CD player. They made significantly fewer driving errors and glances while voice-dialing the mobile phone or eating, although in both of these conditions they made more driving errors and glances than they did when driving without doing any other activity. We conclude that for simulated driving, placing calls using a voice-activated dialing system is as distracting as eating a cheeseburger, but both of these activities are less distracting than continuously operating a CD player or reading directions.
Application research on improved BP neural network for water quality comprehensive evaluation

An Back Propagation (BP) neural network model for water quality evaluation was established to overcome the shortcomings of the traditional methods. Levenberg-Marquardt (LM) optimization algorithm was used to make the BP neural network converging quickly, and golden section theory was used to get the reasonable number of the network's hidden nodes. The optimal BP network model was used to evaluate the water quality degree of Xindu area of Chengdu, which results were compared with the evaluation results of traditional methods: comprehensive pollution evaluation method and single factor method, it was proved that the results of the set BP network model are more objective and steady, and it makes it possible to compare the water quality of two rivers which belong to different function grades.
Analysis of photonic band‐gap (PBG) structures using the FDTD method

In this paper, a number of photonic band‐gap (PBG) structures, which are formed by periodic circuit elements printed on transmission‐line circuits, are studied by using a well‐known numerical method, the finite‐difference time‐domain (FDTD) method. The results validate the band‐stop filter behavior of these structures, and the computed results generally match well with ones published in the literature. It is also found that the FDTD method is a robust, versatile, and powerful numerical technique to perform such numerical studies. The proposed PBG filter structures may be applied in microwave and communication systems. © 2004 Wiley Periodicals, Inc. Microwave Opt Technol Lett 41: 173–177, 2004; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/mop.20084
An Approximate Analytical Solution of Fundamental Mode in the Medium with Optical Lattices

Abstract In this article, based on the Lagrangian of the system, an approximate analytical solution is presented. The approximate analytical solution can basically describe the properties of the real fundamental mode in stationary propagation and motion in the medium with optical lattices. Comparison between the approximate analytical solution and the exact numerical solution shows that the approximate solution agrees well with the exact numerical solution in a wide range of parameters.
A novel DSSS based ToF measurement method for short baseline and its application in sound velocimeter

The short baseline framework is commonly used in ultrasonic parameter measurement, and ToF (time of flight) of which is essential in sound velocimeter and other applications. Different from conventional steady-state and transient methods, this paper proposed a new method using DSSS (Direct Sequence Spread Spectrum) signal to extract the ToF. DSSS signal possesses excellent auto-correlation features, thus it does not need to adjust path-length or the acoustic frequency, nor avoid the impact of the multiple echoes. The DSSS signal and measurement system are modeled and the detailed theoretical process of ToF estimation is derived to demonstrate the measurement principles, and the principles of echoesresistance are analyzed. Measurement experiments are carried out using distilled water at ambient pressure with temperature ranging from 19°C to 30°C. The test results indicate that the relative precision of ToF is in bounds of 2 ppm and the bias of sound speed derived is within 0.06m/s compared to Del Grosso's equation.
Collaboration and meaning analysis process in intense problem solving teams

A set of testable propositions based on the collaboration and meaning analysis process (C-MAP) are presented. The C-MAP involves the conscious externalisation of knowledge to support knowledge transfer, the development of innovated knowledge and the development of cognitive similarity in intense problem solving teams (Rentsch, J.R., Delise, L.A., and Hutchison, S., 2008a. Transferring meaning and developing cognitive similarity in decision making teams: collaboration and meaning analysis process. In: M.P. Letsky, et al., eds. Macrocognition in teams. Burlington, VT: Ashgate Publishing, 127–142). Innovated knowledge is collaboratively created knowledge not initially possessed by the team when it was composed. Intense problem solving teams are distributed teams in which each member possesses unique expert information that must be integrated to achieve a viable solution. The teams work in difficult contexts and their decisions have high risk implications. The cognitive processes included in the C-MAP may be regarded as macrocognitive processes (e.g. Klein, G., et al., 2003. Macrocognition. IEEE Intelligent Systems, May/June, 81–85; Letsky, M.P., et al., 2007. Macrocognition in complex team problem solving. In: 12th international command and control research and technology symposium (12th ICCRTS), Newport, RI, June 2007. Washington, DC: U.S. Department of Defense Command and Control Research Program). The role of knowledge objects and schema-enriched communication as two mechanisms for externalising cognition to promote innovated knowledge are described.
Azo Dye Adsorption onto Cobalt Oxide: Isotherm, Kinetics, and Error Analysis Studies

The current study focused on utilizing cobalt oxide to eliminate hazardous Eriochrome Black T (EBT) dye. The impact of pH (2, 4, 7, 8, and 10) and temperature (45, 50, and 55 °C) was examined for EBT removal. The results show that the maximum sorption occurred at pH = 2 and that the removal percentage increased with increasing temperature. Five non-linear regression methods were used to predict the best isotherm and kinetic models. A coefficient of non-determination, K2, was very helpful for selecting the RMSD function as a preferable error function among the five methods. Isothermal models to illustrate equilibrium sorption information, the Langmuir, Freundlich, Temkin, and Dubinin–Radushkevich models were used. The results showed that the Langmuir model (R2 = 0.99) was the most favorable, indicating monolayer sorption of EBT occurred. The kinetics models were analyzed using pseudo-first-order and pseudo-second-order whereas the sorption information was well described by the pseudo-second-order model (R2 = 0.99). The results of the thermodynamic study appeared that the adsorption of EBT was endothermic, feasible, spontaneous, and physical adsorption.
System on chip thermal vacuum sensor based on standard CMOS process

An on-chip microelectromechanical system was fabricated in a 0.5 μm standard CMOS process for gas pressure detection. The sensor was based on a micro-hotplate (MHP) and had been integrated with a rail to rail operational amplifier and an 8-bit successive approximation register (SAR) A/D converter. A tungsten resistor was manufactured on the MHP as the sensing element, and the sacrificial layer of the sensor was made from polysilicon and etched by surface-micromachining technology. The operational amplifier was configured to make the sensor operate in constant current mode. A digital bit stream was provided as the system output. The measurement results demonstrate that the gas pressure sensitive range of the vacuum sensor extends from 1 to 105 Pa. In the gas pressure range from 1 to 100 Pa, the sensitivity of the sensor is 0.23 mV/ Pa, the linearity is 4.95%, and the hysteresis is 8.69%. The operational amplifier can drive 200 ω resistors distortionlessly, and the SAR A/D converter achieves a resolution of 7.4 bit with 100 kHz sample rate. The performance of the operational amplifier and the SAR A/D converter meets the requirements of the sensor system.
Low-angle radar tracking using radial basis function neural network

The authors apply the radial basis function (RBF) neural network to low-angle radar tracking. Computer simulations show that the RBF network is capable of tracking both stationary and moving targets with high accuracy. As well, the tracking performance of the RBF network is evaluated under different signal-to-noise ratio situations. Furthermore, real-life data are used to test the RBF network. The results demonstrate the robustness and effectiveness of the network in terms of its independence of array errors and of the nature of the noise background.
Robot Path Planning by Generalized Ant Colony Algorithm

For the problem that the searching speed of traditional ant colony algorithm in robot path planning problem is slow, this paper will solve this problem with generalized ant colony algorithm. Generalized ant colony algorithm extends the definition of ant colony algorithm and does more general research for ant colony algorithm. Functional update strategy replaces the parametric algorithm update strategy; it accelerates the convergence speed of ant colony algorithm. Applying the generalized ant colony algorithm to robot path planning problem can improve the searching speed of robots and reduce the cost of convergence time.
In-Plane Strength and Design of Fixed Concrete-Filled Steel Tubular Parabolic Arches

AbstractConcrete-filled steel tubular (CFST) arch bridges have the advantages of high compressive strength, light self-weight, and convenience in construction, and thus have been widely used in recent years. The current codes or specifications use the equivalent beam–column method to predict the in-plane strength of CFST arches. In this method, the CFST arches are considered under central or eccentric axial compression and are treated similarly to CFST columns. However, different from the CFST columns, the in-plane strength of CFST arches is affected by not only the slenderness ratio but also the rise–span ratio. Especially for the arches with small rise–span ratios, the prebuckling deformation becomes quite nonlinear, leading to a remarkable decrease in in-plane strength. Therefore, it is doubtful if the current method for in-plane strength design of CFST arches can provide correct predictions. In this paper, the elastic buckling and elastic–plastic buckling behaviors of fixed CFST parabolic arches that .
A Numerical Modelling of Stator-Rotor Interaction in a Turbine Stage With Oscillating Blades

In real flows nonstationary phenomena connected with the circumferential non-uniformity of the main flow and those caused by oscillations of blades are observed only jointly. An understanding of the physics of the mutual interaction between gas flow and oscillating blades, and the development of predictive capabilities is essential for improved overall efficiency, durability and reliability. In the study presented the algorithm proposed involves the coupled solution of 3D unsteady flow through a turbine stage and dynamic problem for rotor blades motion by action of aerodynamic forces without separating of outer and inner flow fluctuations. The partially integrated method involves the solution of the fluid and structural equations separately, but information is exchanged at each time step, so that solution from one domain is used as boundary condition for the other domain. 3D transonic gas flow through the mutually moving stator and rotor blades with periodicity on the whole annulus is described by the unsteady Euler conservation equations, which are integrated using the explicit monotonous finite-volume difference scheme of Godunov-Kolgan. The structure analysis uses the modal approach and 3D finite element model of a blade. The blade moving is assumed to be constituted as a linear combination of the first natural modes of blade oscillations with the modal coefficients depending on time. There has been performed the calculation for the last stage of the steam turbine. The numerical results for unsteady aerodynamic forces due to stator-rotor interaction are compared with results obtained with taking into account the blades oscillations. It has investigated the mutual influence of both outer flow nonuniformity and blades oscillations. It has shown that amplitude-frequency spectrum of blade oscillations contains the high frequency harmonics, corresponding to rotor moving past one stator blade pitch, and low frequency harmonics caused by blade oscillations and flow nonuniformity downstream from the blade row. Moreover, the spectrum involves the harmonics which are not multiple to the rotation frequency.Copyright © 2002 by ASME