Miracle-dz/UniFAR-FTUs huggingface dataset:
Modeling and Analysis of Piezoelectric Bimorph Cantilever for Vibration Energy Harvesting

The vibration energy can be converted to electrical energy directly and efficiently using piezoelectric cantilever beam based on piezoelectric effect. Since its structure is simple and its working process is unpoisonous to the environment, the piezoelectric cantilever beam can be used in various fields comprehensively. The present paper perform an analysis on the vibration energy harvesting problem of piezoelectric bimorph cantilever beam. The piezoelectric cantilever model has been formulated using the theory of elasticity mechanics and piezoelectric theory. A prototype of piezoelectric power generator is set up to do vibration test, and the electromechanical coupling FEA model under vibration load is built to simulate its output displacement, stress and voltage. The present numerical results of piezoelectric bimorph cantilever coincide well with our related experimental results, which shows the validity of the present FEA model and the relate results.
Improved autonomous current-fed push-pull resonant inverter

This study presents an improved autonomous current-fed push-pull resonant inverter with integrated driving power from the input DC source and zero voltage switching (ZVS) signals from the resonant tank. Unlike the conventional current-fed inverters, the new inverter can increase the system operating frequency up to MHz while maintaining ZVS operation. Moreover, the primary resonant capacitance can be eliminated by advantageously utilising the output capacitances of the switches for resonance. Both simulation and practical results have demonstrated that the proposed inverter is able to generate high quality resonant currents from kHz to 10 MHz for inductive power transfer, induction heating and other applications where high-frequency currents or voltages are required.
A Hybrid EKF-Fuzzy Approach to Fault Detection and Isolation of Industrial Gas Turbines

Based on the Gas Path Analysis (GPA) method, nonlinear estimation and fuzzy classification theories, a comprehensive fault diagnosis system has been developed for an industrial Gas Turbine (GT). The hybrid method consists of two parts, in the first part noisy sensor output changes are translated to changes in the health parameters using an Extended Kalman Filter (EKF). In the second part the outputs of the EKF are used as the inputs of a fuzzy system. This system can isolate and evaluate the physical faults based on the predetermined rules obtained mostly from experimental data and aerothermodynamical simulations. The ratios of changes in different health parameters due to different faults and also the areas in the compressor most affected by these faults are the key factors for developing the rules. The Fuzzy Inference System (FIS) gives the fault locations in the compressor or turbine. Also, operator-friendly suggestions for the time of the compressor washing or components repair are provided. This leads to a hybrid fault detection and isolation solution for the GT, and with pre-filtering the data before use as input of fuzzy inference system, the accuracy of the fault diagnosis system is improved. Nonlinear simulation, estimation and classification results are provided to show the effectiveness of the proposed methodology.Copyright © 2011 by ASME
All-electric aircraft

While there are many technical challenges to overcome before a fully electric aircraft is operational, the benefits of such a system are significant. For the industry to move forward the More Electric Aircraft and its partner concept, the More Electric Engine (MEE) must become reality in the next 10 to 20 years. This paper discusses the development of such engines and aircraft.
FELERION: a new approach for leakage power reduction

The circuit proposed in this paper simultaneously reduces the sub threshold leakage power and saves the state of art aspect of the logic circuits. Sleep transistors and PMOS-only logic are used to further reduce the leakage power. Sleep transistors are used as the keepers to reduce the sub threshold leakage current providing the low resistance path to the output. PMOS-only logic is used between the pull up and pull down devices to mitigate the leakage power further. Our proposed fast efficient leakage reduction circuit not only reduces the leakage current but also reduces the power dissipation. Power and delay are analyzed at the 32 nm BSIM4 model for a chain of four inverters, NAND, NOR and ISCAS-85 c17 benchmark circuits using DSCH3 and the Microwind tool. The simulation results reveal that our proposed approach mitigates leakage power by 90%–94% as compared to the conventional approach.
Review of substrate-integrated waveguide circuits and antennas

Substrate-integrated waveguide (SIW) technology represents an emerging and very promising candidate for the development of circuits and components operating in the microwave and millimetre-wave region. SIW structures are generally fabricated by using two rows of conducting cylinders or slots embedded in a dielectric substrate that connects two parallel metal plates, and permit the implementation of classical rectangular waveguide components in planar form, along with printed circuitry, active devices and antennas. This study aims to provide an overview of the recent advances in the modelling, design and technological implementation of SIW structures and components.
FPGA/GPU-based Acceleration for Frequent Itemsets Mining: A Comprehensive Review

In data mining, Frequent Itemsets Mining is a technique used in several domains with notable results. However, the large volume of data in modern datasets increases the processing time of Frequent Itemset Mining algorithms, making them unsuitable for many real-world applications. Accordingly, proposing new methods for Frequent Itemset Mining to obtain frequent itemsets in a realistic amount of time is still an open problem. A successful alternative is to employ hardware acceleration using Graphics Processing Units (GPU) and Field Programmable Gates Arrays (FPGA). In this article, a comprehensive review of the state of the art of Frequent Itemsets Mining hardware acceleration is presented. Several approaches (FPGA and GPU based) were contrasted to show their weaknesses and strengths. This survey gathers the most relevant and the latest research efforts for improving the performance of Frequent Itemsets Mining regarding algorithms advances and modern development platforms. Furthermore, this survey organizes the current research on Frequent Itemsets Mining from the hardware perspective considering the source of the data, the development platform, and the baseline algorithm.
Evaluation of a probiotic fermented goat milk and its clinical application in type 2 diabetes mellitus

06 Introdução 07 Gut microbiota and diabetes mellitus 08 Primary effects of the gut microbiota on host metabolism 12 Main effects of probiotics consumption in T2DM 15 Experimental studies 15 Clinical trials 21 Probiotics and oxidative stress 27 Probiotics and low-grade systemic inflammation 29 Efficacy and safe use of probiotics 32 Conclusion and perspectives 34 References 35 Article 2 PROBIOTIC FLAVORED FERMENTED GOAT MILK: PRODUCT DEVELOPMENT, ANTIOXIDANT PROFILE AND CONSUMER ACCEPTANCE 51 Abstract 51 Introdução 52 Materials and Methods 53 Formulation and Fermentation of dairy beverages 53 Compositional analysis 54 Physicochemical properties and instrumental analysis 54 Total phenolic content and antioxidant activity 54 Microbial viability 55 Resistance to simulated gastrointestinal conditions 55 Sensory analysis 55 Statistical analysis 56 Results and discussion 57 Composition and physicochemical analysis 58 Total phenolic contents and antioxidant activity of dairy beverages 59 Microbiological parameters 60 Sensory evaluation of dairy beverages 64 Conclusion 65 References 6651 Introdução 52 Materials and Methods 53 Formulation and Fermentation of dairy beverages 53 Compositional analysis 54 Physicochemical properties and instrumental analysis 54 Total phenolic content and antioxidant activity 54 Microbial viability 55 Resistance to simulated gastrointestinal conditions 55 Sensory analysis 55 Statistical analysis 56 Results and discussion 57 Composition and physicochemical analysis 58 Total phenolic contents and antioxidant activity of dairy beverages 59 Microbiological parameters 60 Sensory evaluation of dairy beverages 64 Conclusion 65 References 66
6.3.4 Threads, Reference Cases, and System Models: Adapting OOA to Complex System Specification

Behavioral system models are often necessary to specify top‐level system dynamic characteristics, especially for complex systems. Representing system stimulus/response behavior is often problematic, however. The scenario used to stimulate the system model may be overly simplistic, and won't be validated operational experts. On the other hand, operational experts will often develop a very broad set of system scenarios so detailed that they obfuscate the key system characteristics. This paper discusses a technique for aggregating operational system scenarios into a meaningful essential set of “reference cases”, which then serve as the functional baseline for system development and design verification.
Towards an inexpensive computer-vision based automated landing system for small unmanned aerial vehicles

We present a system for UAV automated landing that requires minimal landing site preparation, no additional electronics, and no additional aircraft equipment of any kind. This is a Joint-UAV solution that will work equally well for land-based aircraft and for shipboard recoveries. Our proposed system requires only a simple target that can be permanently painted on a runway, laid out in a roll-up mat, or potentially denoted with chemical lights for night operations. Its appearance is unique when seen from the optimal approach path, and from other angles its perspective distortion indicates the necessary correction. By making continual adjustments based on this feedback, the plane can land in a small area at the desired angle. We time the pre-touchdown flare using only a 2D visual reference. Assuming a constant closing speed, we can estimate the time to contact and initiate a controlled flare at a predetermined interval.
Comparison and analysis of road tunnel traffic accident frequencies and rates using random-parameter models

ABSTRACT The article provides an analysis of severe crashes (fatal and injury accidents only) that occurred in 260 Italian road tunnels on the basis of random-parameters regression models. In particular, factors influencing “crash frequency” over a 4-year monitoring period are investigated by means of a random-parameters negative binomial model (RPNB). This approach reveals that some regression model parameters should be considered as random variables, thus contributing to gaining new insights into the way the corresponding covariates influence accident frequency. The presence of a year effect on the number of accidents was also investigated. To this aim, random-parameters models with random-effects were considered to account for temporal correlation in the data collected from the same road tunnel over successive time periods. In particular, a negative binomial model in which the intercept and regression parameters are allowed to vary randomly was developed. It was found that in the present case study the unobserved heterogeneity is small, so it is sufficient just using the random-intercept model. This study also explores the use of crash rate instead of crash frequency as dependent variable of the regression model, to understand more especially the effect of this choice on the significance of the covariates. A random-parameters tobit regression model showed that the significance of some independent variables is in contrast with the results found upon the RPNB model based on crash frequency.
A novel method of fault diagnosis for rolling element bearings based on the accumulated envelope spectrum of the wavelet packet

Envelope analysis is an effective technique of fault diagnosis for rolling element bearings (REBs). However, envelope analysis needs to select an appropriate frequency band of the signal. Numerous selection methods have been investigated, such as spectral kurtosis (SK) and wavelet packet kurtogram (WPK), which are based on kurtosis. Nevertheless, existing approaches are sometimes unable to identify bearing faults due to the contamination of discrete and random noises. In this paper, a novel method of fault diagnosis for bearings is proposed, which accumulates all or part of sub-band signals’ envelope spectrums at a given level in wavelet packet rather than demodulates one selected frequency sub-band signal. Two simulated signals and a real signal are analyzed to test the performance of the novel method. In the first case, stochastic impulses are added into the simulated outer race fault signal. The analysis shows that the novel approach is more robust to stochastic impulses than the other two methods such as SK and WPK. In the second case, the simulated signal containing two outer race faults from different REBs is analyzed using the three methods, respectively. The results show that the novel approach captures more useful information and detects the two different REBs’ faults contained in the same signal more effectively. Furthermore, the effectiveness of the novel method is validated by identifying the characteristic fault frequency of the real REB.
Perancangan Aplikasi Sistem Pakar Diagnosa Awal Kanker Reproduksi Wanita Dengan Metode Certainty Factor

Until now, cancer is one that suffered by the people of Indonesia, especially in cervical cancer (cervix) suffered by Indonesian women. Not only cervical cancer suffered by Indonesian women, but also other diseases that attack the female reproductive organs. Such diseases, cervical cancer, ovarian cancer, endometrial cancer, vaginal cancer, ovarian cysts and myomas. To prevent the number of deaths of patients, of course the initial diagnosis as one of the solutions. As used in this study in development an early diagnosis system of female reproductive cancer. This expert system adds value to the technology to assist in the handling of an increasingly sophisticated information age. This Expert System Application generates an Update that enables patients who suffer from symptoms that are felt by the patient. This system is also a result of the necessity of women suffering from cancer experienced by patients. The amount of trust value is the result of calculation using Certainty Factor method.
The Development of Evaluation Model for Internal Quality Assurance System of Dramatic Arts College of Bunditpattanasilpa Institute

The research purpose was to develop an evaluation model for the internal quality assurance system of the dramatic arts College of Bunditpattanasilpa Institute. The Research and Development method was used as research methodology which was divided into three phases; developing the model and its guideline, trying out the actual implementation of the developed model, and assessing and improving the model. Data collection processes started with interviewing experts in internal quality assurance system. Then the collected data was analyzed and synthesized to form a tentative model. The researcher spent eight months on trying out this tentative model. The four areas; Utility, Feasibility, Propriety, and Accuracy were used to evaluate and revise the model. Percentage, mean, and standard deviation were used in data analysis. The tentative model consisted of three steps; preparation, evaluation procedure, and reporting. This model was tried out at two institutes in Kalasin and Roi-Et Provinces. The evaluation result as a whole on Utility, Feasibility, Propriety, and Accuracy of the model by eighty users was at the “Highest” level (Mean = 4.51). The utility was at the “Highest” mean of 4.60. In conclusion, this evaluation model for internal quality assurance system could be used successfully at the dramatic arts College of Bunditpattanasilpa Institute.
Stabilization of Nonlinear Uncertain Systems

From the Publisher: This monograph presents the fundamentals of global stabilization and optimal control of nonlinear systems with uncertain models. It offers a unified view of deterministic disturbance attenuation, stochastic control, and adaptive control for nonlinear systems. The book addresses researchers in the areas of robust and adaptive nonlinear control, nonlinear H-infinity stochastic control, and other related areas of control and dynamical systems theory.
NERC interconnected operations services policy developments related to frequency control

Frequency response is necessary to stabilize interconnection and island frequency following the loss of load or generation. Frequency response is therefore important for interconnected power systems reliability. Interconnected operations services (IOS) describe those services necessary to maintain reliable power system interconnection operation. A proposed North American Electric Reliability Council (NERC) Policy 10, which is under development, defines IOS and associated responsibilities for suppliers, operating authorities, and customers. This document presents NERC policy developments related to IOS treatment of frequency response. The need for, and format of, a frequency response requirement is presently being debated. This document contains some suggestions on how the frequency response requirement could be defined.
The Liquid Level Measuring Device in Truck Based on ZigBee

Because of the separation of modified truck’s cab and car tank, there must set long wires to transmit the signal. A liquid level measuring device for truck is designed and developed in this article. Using the ZigBee technology, a wireless data transmit mode, including the hardware and the software, is realized. A compensation and correction method is discussed on the basis of the ultrasonic transmission theory. This device has a simple structure, high precision, low cost, easy to install and so on.
Design, development & implementation of ontological knowledge based system for automotive assembly lines

Dynamism and uncertainty are genuine threats for current high technology organisations. Capability to change is the crux of sustainability of current large organisations. Modern manufacturing philosophies, including agile and lean, are not enough to be competitive in global market therefore a new emerging paradigm i.e. reconfigurable manufacturing systems is fast emerging to complement the application of lean and agile manufacturing systems. Product, Process and Resource (PPR) are the core areas in an engineering domain of a manufacturing enterprise which are tightly coupled with each other. Change in one (usually product) affects the others therefore engineering change management activity has to tackle PPR change effects. Current software applications do not provide an unequivocal infrastructure where PPR can be explicitly related. It follows that reconfigurable techniques can be further complemented with the help of knowledge based systems to design, engineer, manufacture, commission and change existing processes and resources against changed products.
Investigation of late time response analysis for detection of multiple concealed objects

This paper investigates the use of Late Time Response (LTR) analysis for detecting multiple objects in concealed object detection. When a conductive object is illuminated by an ultra-wide band (UWB) frequency radar signal, the surface currents induced upon the object give rise to LTR signals. The LTR results from a number of different targets are presented. The distance between the targets within the same radar beam has been adjusted in increments of 5cm to determine the point at which the individual objects can be distinguished from each other. The experiment was performed using double ridged horn antennas in a pseudo-monostatic arrangement. Vector network analysers (VNA) are used to provide the UWB stepped frequency continuous wave radar signal. The distance between the transmitting antenna and the target object is kept at 50cm for all the experiments performed and the power level at the VNA was set to 2dBm. The targets in the experimental setup are suspended in isolation in a non-anechoic environment. To allow for the de-convolution of the signal and the removal of background clutter Matlab was used in post processing. The Fast Fourier Transform (FFT) and Continuous Wavelet Transform (CWT) are used to process the return signals and extract the LTR features from the noise clutter. A Generalized Pencil-of-Function (GPOF) method was then used to extract the complex poles of the signal. In the case of a single needle these poles can be found around 1.9GHz.
Switched-beam antenna based on novel design of Butler Matrices with broadside beam

A switched beam antenna with broadside beam based on a novel design of Butler feeding network is presented. This novel design requires only 90° hybrid couplers in the Butler matrix part with the aim of producing a broadside beam. A three-beam prototype has been fabricated. Measurements indicate that the broadside beam is primordial to avoid a shadowing area in this direction.
A Novel Approach in Doppler Measurement Processing

In order to solve the problem of algorithmic complexity and large computation in Doppler radar measurement processing, a direct unscented Kalman filter is proposed in the paper. It undertakes nonlinear filtering to Doppler radar measurement in mixed coordinate directly, which makes the algorithm much simpler and reduces computation greatly. Simulation results show that the algorithm not only reaches the similar state estimation accuracy like SEKF and SUKF, but also improves the consistency of state estimation apparently.
Citra KPK Pada Kasus Korupsi Menteri Juliari Batubara (Analisis Wacana Kritis Fairclogh)

Korupsi yang terjadi di Indonesia seakan tak ada hentinya. Dimulai dari pejabat yang ada di lembaga legislatif, eksekutif bahkan lembaga yudikatif juga kerap terseret kasus korupsi. KPK sebagai lembaga independen dalam penanganan kasus korupsi seolah menjadi lembaga yang ditakuti dan dihindari oleh lembaga lainnya. Padahal keberadaan KPK bertujuan untuk memastikan pemerintahan yang bersih. Media sebagai corong pemerintah terkadang sering disalahgunakan untuk kepentingan politik dan korporasi, hal ini juga dilakukan dalam pemberitaan tentang KPK. Penelitian ini akan mencoba melihat bagaimana dua media besar yang ada di Indonesia yaitu Republika dan Tempo dalam membangun konstruksi wacana. Dalam hal ini akan ditinjau bagaimana Republika dan Tempo membangun citra bagi KPK. Metode penelitian ini menggunakan pendekatan metodologis dan teoritis. Pendekatan metodologis deskriptif analisis dipilih untuk dapat melihat secara teoritis analisis wacana kritis Fairclogh. Wacana yang ada dianalisis dengan tiga objek melalui (a)teks, (b) dimensi kewacanaan, (c) dimensi sosiokultural. Hasil penelitian dari ketiga objek kajian Fairclogh menunjukkan bahwa Republika memberikan citra negatif bagi KPK sedangkan Tempo memberikan citra yang positif bagi KPK.
Classification of Epoxy Wedges in Glass-Fiber Reinforced Plastics Using a Millimeter-Wave Imaging System in W-Band

To determine the mechanical stability of imperfect composite materials it is crucial to classify production faults in terms of shape, depth, and size. Radar-based systems can be used for non-contact and nondestructive measurements of composite materials and provide 3D tomographic images of the components. By using GaAs-based technologies the available bandwidth of 24 GHz in the millimeter-wave regime combined with a low-noise figure enable the detection of low-contrast flaws in glass-fiber reinforced plastics. It is shown that the location of wedges, made of epoxy, inside a glass fiber-reinforced plastic sample can be detected as well as orientation, shape, size, and impact to the adjacent fiber scrims can be determined by evaluating the phase information of the reflected signals.