Miracle-dz/UniFAR-FTUs huggingface dataset:
Position control of linear switched reluctance motors for high-precision applications

Most advanced manufacturing processes require precise motions for material transfer, packaging, assembly, and electrical wiring. To achieve precise linear motions, most of these high-performance manufacturing machines use X-Y sliding tables with permanent-magnet rotary motors and rotary to linear couplers. Though this method is the most widely used, it has disadvantages of low accuracy, complex mechanical adjustments, high cost, and low reliability. This paper describes the position control of a linear switched reluctance motor for high-performance motions in manufacturing automation. The proposed actuator has a very simple structure and it can be manufactured easily. There is no need for magnets and no limitation on the travel distance. The actuator is extremely robust and can be used in a hostile environment. A novel current-force-position lookup table is first developed to perform the force linearization. Then, a plug-in robust compensator using H/sub /spl infin// loop-shaping design is employed to improve the system robustness and the tracking performance. Experimental results of the motion system indicate that the system has fast tracking responses with good accuracy.
Training Return-on-Investment in the small enterprise in Cartagena

On the job training is a crucial factor in terms of productivity and labor efficiency. This article presents the results of calculating the return-on-investment in training in small industries in Cartagena. The proposed methodology is the estimation of a Cobb Douglas function, a wages function and a costs function, functions estimated through fixed effects regressions with instrumental variables implemented with a systemGeneralized Method of Moments estimator. The results show that an increase of 10% in the hours of training, lead to an increase of 4.5% in the productivity, but does not have an impact on wages. The return rate obtained is roughly of 6.2%, with a depreciation rate of 17%. © 2013 Universidad ICESI. Published by Elsevier España. All rights reserved. *Autor para correspondencia. Piedra de Bolívar, avenida del Consulado, calle 30, N.o 48-152, Cartagena, Colombia. Correo electrónico: myanezc@unicartagena.edu. co (M. Yanez Contreras). I N F O R M A C I Ó N D E L A R T Í C U L O Historial do artigo: Recebido a 12 de julho de 2012 Aceite a 16 de setembro de 2013 JEL Classification: D92 J24 M53
Battlefield awareness and data dissemination (BADD) for the warfighter

The BADD program is an advanced concepts technology demonstration (ACTD) program sponsored by DARPA. The program is being worked by a team of contractors led by Computing Devices International (CDInt). The objective of BADD is to develop and demonstrate a commander's information system which provides unprecedented battlefield awareness information to the warfighter in near real-time. This paper describes the BADD architecture, the planned demonstrations and program status.
THE SOUNDS OF THE AVIAN SYRINX - ARE THEY REALLY FLUTE-LIKE?

This research presents a model of the avian vocal tract, implemented using classical waveguide synthesis and numerical methods. The vocal organ of the songbird, the syrinx, has a unique topography of acoustic tubes (a trachea with a bifurcation at its base) making it a rather unique subject for waveguide synthesis. In the upper region of the two bifid bronchi lies a nonlinear vibrating membrane ‐ the primary resonator in sound production. Unlike most reed musical instruments, the more significant displacement of the membrane is perpendicular to the directions of airflo w, due to the Bernoulli effect. The model of the membrane displacement, and the resulting pressure through the constriction created by the membrane motion, is therefore derived beginning with the Bernoulli equation.
Pedestrian behavior and agent-based simulation modeling in public space

Owing to the COVID-19 pandemic, people must practice social distancing (1.5 m) in public spaces. This restricts activities in such spaces, and traditional festivals are canceled. This study mainly focused on the COVID-19 outbreak and pedestrian gathering in public spaces and build up a simulation framework. Additionally, it examined pedestrian trajectory data to know the human behavior and seated the characteristic of the pedestrian. Agent-based modeling can make the agent in several behaviors know how they move in the space. The analysis and evaluation show that it's difficult in maintaining social distancing without protection stuff in public spaces. Subsequent studies are planned for different types of areas to generate and evaluate a variety of high-fidelity simulation patterns across several fields.
Accelerated Aging Study on Silicone Rubber Insulator with Contaminant Level and Fog Conductivity Variations

Polymeric insulators are widely used in transmission and distribution system in highly polluted areas due to great performance of hydrophobicity. However, further studies are needed to determine the degree of aging and degradation due to electrical and environmental stress to improve insulators’ quality. This paper examines the effects of accelerated aging and contamination on 20 kV line post polymeric insulators performance under various environmental conditions in the tropical region according to IEC 60507. The accelerated aging was conducted in 1000 hours period of UV exposure and immersion process according to ANSI C29-13 2018. Furthermore, kaolin and NaCl were used as daily contaminants respectively for non-soluble and soluble pollutions. Contaminant levels here were varied based on NSDD value. The experiments found that the higher the contaminant level and the conductivity of the fog, the RMS value of leakage current could reach three times higher. The surface conditions of the insulators were also affected by the decrease in the hydrophobicity class from class one to class three. Based on SEM/EDX result, the higher the contaminant level, the rougher surface it would be and it also could be explained with the increase of the Al/Si ratio from 0.54 to 0.96.
A Study on Relationship Between Period and Number of Divisions in Piecewise Logistic Map over Integers

The piecewise logistic map proposed by Wang, Liu and Lei provided a wider range of the control parameter than one by the logistic map. However, it is not clear enough to describe relations between the number of divisions and properties of the map. In this paper, we investigate how the period and link length change with respect to number of divisions. As a result, we confirmed period and link length increases or decreases periodically. Further, we confirmed randomness of long period sequence comparable to the randomness of logistic map over integers with high available bits for 2 bits.
Between Beats: Linking Player Engagement to Advertisement Frequency and Intrusiveness

Mobile phones are a popular platform for gaming in addition to being the most ubiquitous one. Monetization of free to play games with embedded and interstitial advertisements is one of the main sources of income for mobile game creators. We used a constructive approach in this study. A mobile game developed during the study, Between Beats, was used to survey the influence of interstitial advertisement on selected aspects of player experience. The study was conducted by deploying the game to Google Play and guiding the players, after gameplay, to an online survey. The survey was answered by 51 participants who were divided randomly into four groups based on how much they were subjected to interstitial or rewarded advertisements while playing. Our results show that embedding rewarded advertisements to a situation where there already is interstitial advertisements, resulted in reduction of perceived advertisement intrusiveness and increase in advertisements viewed. Player engagement remained constant in all groups. Our findings complement earlier findings on the use of rewarded advertisements in mobile games.
Review of Recent Research on Energy Saving Lamp in Indonesia

Among many types of the loads, lighting has become one of major contributors to the electrical energy consumption. Study shows that 20% to 50% of electrical energy in the developing countries such as Indonesia is used by lighting. This condition causes there is a need to do more research about lighting. Some research had been carried out by Indonesian researchers by collaboration with laboratory from overseas. In order to be able to continue the research conducted by those researchers, a review of their research is needed so that it will be known what research that still can be developed and might can be carried out in Indonesia. Some research reviewed in this paper is about power quality and luminous properties of energy saving lamps (ESLs) under wide voltage variations, aging study of remote luminophore at ambient temperature, and detection of stroboscopic effect using controlled LED flickering.
Discovering COVID-19 Induced Shifts in Refined Petroleum Products Demand: A Sequence-based Time Series Mining Approach

COVID-19 has directly affected the refined petroleum products industry due to significant changes in energy usage patterns induced by local and global responses to the pandemic. With its onset and persistence, these products faced systematic shifts in their demand patterns, which need to be discovered and monitored by oil producers to respond appropriately to market needs. We perform a mid-term (annual scale) time series mining using a machine-learning-based approach of matrix profile to primarily unveil the post-COVID-19 behavior of the demand generation processes of four petroleum products, including gasoline, distillate fuel oils, kerosene-type jet fuel, and propane. The results indicate that some refined products have responded robustly to the pandemic, while major changes in the demand patterns for other products are evident. This study's outcome will help refineries lay out short to medium-term plans and make prediction-based adjustments to their production and refining processes.
Modular Pod Wells Turbine Array: a Preliminary Assessment

Renewable energy sources are becoming increasingly important in the development of technologies for the generation of electricity. This is where the air turbines are located which, depending on their location, are declined as air turbines or, if they use the mass of air displaced by the OWCs, they are installed as Wells turbines. Since the mass of air oscillates, the Wells have the ability to always rotate in the same direction regardless of the direction of the air. In the Mediterranean, where the excursion of the waves level is more modest than the oceanic one, it is necessary to resort to other methodologies such as the implementation of an array of small autonomous turbines that come into operation in a modular way according to the energy of the sea in order to exploit even modest energy.
Thermo-Economic Optimization of a Cogeneration Plant With Below Ambient Pressure Discharge Gas Turbine

The gas turbine use in cogeneration plants for thermal and electric power production is constantly increasing especially for low power requirements.In this paper, firstly a thermodynamic analysis of a Below Ambient pressure discharge Gas Turbine (BAGT) has been evaluated and the BAGT cogenerative performance compared with those of a Brayton Cycle (BC) cogenerative power plant.Subsequently, an economic investigation of BAGT is carried out and the benefits, with respect to BC, evaluated.It resulted that the BAGT presents a higher electric efficiency and its employment may strongly increase the budget at disposal for the cogenerative plant investment. © 2001 ASME
Binary- and Multi-class Network Intrusion Detection with Adaptive Synthetic Sampling and Deep Learning

Intrusion detection system (IDS) is becoming more and more important for detecting network intrusions, anomalies or attacks. This paper proposes a method that first uses adaptive synthetic (ADASYN) sampling to oversample data in small-size class, then uses deep learning models, such as the variational autoencoder (VAE), long short-term memory (LSTM) network, and deep neural network (DNN), for network intrusion detection. The well-known NSL-KDD dataset is applied to evaluate the effectiveness and superiority of the proposed method.
Modeling of Convolutional Neu r al Network Circuits for Human Activity Recognition

Neural computing capabilities has been studied by neuromorphic neural network circuit modeling in this work. A non- overlapped implanted (NOI) non-volatile memory device is used. The NOI array is designed to form the synapses of a convolutional neural network. To verify the network, recognition rates on six kinds of human activity are investigated. There are 12,000 data in training set and 3,000 data in test set. Convolution neural network is first trained in software. The recognition rates are 100% in training set and 98% in test set. The hardware simulation result using circuit/device models on the same database is 89% in test set.
High-Level Synthesis for Continuous-Flow Microfluidic Biochips Considering Flow-Channel-Intersection Optimization

Flow-channel-intersection optimization is one of the important goals in physical design, which affects the design complexity of the flow layer and the control layer. To this end, an effective high-level synthesis based on particle swarm optimization is proposed for continuous-flow microfluidic biochips in this paper. This method considers both the completion time of the bioassay and the number of flow-channel intersections in the high-level synthesis for the first time. The proposed method estimates the completion time of the bioassay and the number of flow-channel intersections by list scheduling and the connection relationship between components. Through effective iterative updating, a high-quality high-level synthesis considering flow-channel-intersection optimization is obtained.
Events Leading to Erosion in the Steam Turbine

A simple history is ascribed to the liquid water in. the low-pressure stages of the steam turbine which accounts, in a semi-quantitative manner, for many of the observed facts concerning erosion of moving blades. It is shown that supersaturation causes precipitation of fine water drops away from surfaces and that probably only a small number of these drops are collected by blading through impact and diffusional processes. Erosion is believed to be caused by comparatively large drops torn from the blades and by water which has been centrifuged to and is travelling along the casing.Calculations are given which illustrate the acceleration of water drops in steam, for it is supposed that the normal component of the impact velocity causes erosion damage. Thus drops travelling at the steam velocity are relatively harmless. Calculation also shows that the normal velocity component will decrease towards the tip of long blades, which may be valuable in mitigating erosion. Finally, calculation indicates that most o.
The new line in IC design

If deep submicron ICs are to excel in yields and performance, the design process must focus throughout on their interconnects. A new design process grapples with the problem. Design For interconnectivity, as it is called, ensures that interconnection information is available throughout the design process, so that the circuitry may be optimized around it at every stage. The availability of this information proves the key to achieving yield and performance goals in deep submicron designs. The novel process involves predicting, at an early stage in logic design, the probable paths of interconnects and any problems likely to ensue. Later on, it tackles device layout and performance verification one small step at a time. To do this, the front-end logic designers need tools to gather the proper information without plunging into the intricacies of physical design, while the back-end physical designers need tools with which to surmount interconnect issues. Moreover, technologies are required to produce globally optimized results by linking logical and physical design tools more closely.
Circuit Implementation of Convolutional Neural Network for Human Activity Recognition

Neural computing capabilities in a neuromorphic neural network circuit is studied in this work. A non-overlapped implanted (NOI) non-volatile memory device is used as a synaptic unit. The NOI array is designed to form a convolutional neural network. To verify the network circuit, recognition rates on six kinds of human activity are investigated. There are 12,000 data in the training set and 3,000 data in the test set. Convolution neural network circuit is first initiated by transfer-learning from simulated weights. The simulated recognition rates are 100% in training set and 98% in test set. The circuit implementation result with transfer learning on the same database is 68% in test set.
Research on Factors Affecting the Quality of Innovation and Entrepreneurship Education in Higher Education Based on Information Technology

With the development of information technology and its application in teaching, the teaching mode of higher education is experiencing a profound change. Similarly, information technology such as virtual simulation is also widely used in the field of innovation and entrepreneurship education (IEE) in higher education. Virtual simulation experimental teaching platform is an important informatization teaching tool. Its use of intelligence and simulation technology to simulate the innovation and entrepreneurship practice environment provides information technology resources and platform for practical teaching of IEE. Based on the systematic summary of the factors affecting the quality of IEE, this paper illustrates the role of the virtual simulation experimental teaching platform in building a new teaching mode of IEE, including its application in the IEE in the professional disciplines of economics and management, communication technology and pharmacy. Finally, it is concluded that the construction of information-based teaching platform and other internal and external factors of universities affect the quality of IEE. The influencing factors at the internal level of colleges and universities are better studied, while the scope of application of information technology and teaching effectiveness as well as factors external to colleges and universities need more empirical support. This paper emphasizes the importance of information technology for IEE and clarifies the weak points of the current research with a view to providing references for future research.
Modeling and control of surface acoustic wave motors

This thesis introduces Rayleigh waves and describes the generation of Rayleigh waves. Furthermore, the principle of operation of a SAW motor is analyzed. The analysis is based on a contact model, which describes the behavior between slider and stator. Due to the contact model, the microscopic and the macroscopic behavior can be studied simul- taneously. This model explains typical SAW motor features and determines the influence of parameters. The influence of the model parameters on the SAW motor behavior is studied in order to find the requirements for an optimal contact between slider and sta- tor. The models are validated. To control the SAW motor a linear time invariant system model of the SAW motor is derived and the disturbance sources of the SAW motor are determined and discussed. For closed-loop control, it is useful to eliminate the exist- ing varying dead-band between input and slider velocity. To this end, different actuation methods are investigated. Furthermore, controllers are designed, implemented and tested. Finally, the motor design is studied to obtain an indication for the applied materials, the geometry, the construction, the actuation and the practical limitations. Moreover, a design trajectory, to find initial design parameters, is proposed.
An energy transmission system for an artificial heart using leakage inductance compensation of transcutaneous transformer

A power supply system using a transcutaneous transformer to power an artificial heart through intact skin has been designed and built. In order to realize both high voltage gain and minimum circulating current, compensation of leakage inductances on both sides of a transcutaneous transformer is proposed. A frequency region which realizes the robustness against coupling coefficient and load variation is identified. In this region, the converter has inherent advantages such as zero voltage switching (ZVS) or zero current switching (ZCS) of the switches, high voltage gain, minimum circulating current, and high efficiency.
Sliding Mode Control Design for Aircraft Control Systems

In this paper, a sliding mode controller design for the robust control of uncertain systems is developed. The method is applied to a vertical takeoff and landing aircraft whose aerodynamic parameters vary considerably during flight. The control law consists of a nominal continuous control and a switching control which numerical computation is simple. The tracking performance as well as the robustness against system parameter uncertainties is illustrated.
The negative capacitance effect on the C-V measurement of ultra thin gate dielectrics induced by the stray capacitance of the measurement system

This paper describes how thin film capacitance measurements below 2 nm are affected by an anomalous "negative capacitance effect" induced by parasitic components that originate from the wafer chuck. This inductive effect is observed even though appropriate calibration is executed at the tips of the probe needle to remove the residual inductance from the measurement system. We explain the mechanism of the "negative capacitance effect" theoretically and demonstrate it experimentally. We also propose a new methodology for on-wafer C-V measurements that can reduce this inductive effect that originates from system parasitics while at the same time expanding the practical frequency range of measurement to 100 MHz.
Synthesis and photoluminescence study of silicon nanowires obtained by metal assisted chemical etching

Silicon nanowires (SiNWs) hold potential applications in optoelectronics and SiNW-based optical sensors. Here, a photoluminescence study of SiNW arrays fabricated with a simple two-step silver (Ag) catalyzed etching of silicon wafers is presented. The morphology and photoluminescence properties were investigated for SiNWs of different lengths obtained by varying Ag concentration (as silver nitrate, AgNO3) and etching time. The samples consist of vertically aligned SiNWs with length in the range ~10-40 µm. Our foremost result is that the photoluminescence intensity from the SiNW arrays is an order of magnitude higher than that from bulk Si. This is accompanied by a red-shift in the peak position of approximately 0.09 eV, which may be attributed either to the variation in size of the Ag-nanoparticles created during the etching process or different lengths of the SiNWs. The results indicate that SiNWs obtained by simple and cost-effective metal catalyzed etching, are potentially promising for optoelectronic applications.
Use of flow meters for managing water supply networks

A study of water consumption data collection and processing in the context of on-line monitoring and burst detection in water distribution networks is presented using a methodology for positioning of flow meters and selection of a monitoring time step. A stochastic model analyzes the propagation of initial uncertainty in water consumption through a water supply network and its influence on calculated flows. The model combines EPANET and a Monte Carlo based random sampling procedure that simulates the usage of domestic appliances. The model is validated on a medium-sized water distribution network, located in the southeast region of England. Statistical analysis of the calculated flows suggests that flow meters should be located at pipes with the highest variance in flow in order to make sudden changes in monitored flow detectable. As a result, an appropriate size of a district metering area (DMA) can be proposed. For the case study network studied here, a compromise DMA size of 250 properties is suggested.