Miracle-dz/UniFAR-FTUs huggingface dataset:
Diagnosis of paroxysmal atrial fibrillation from thirty-minute heart rate variability data using convolutional neural networks

: Paroxysmal atrial fibrillation (PAF) is the initial stage of atrial fibrillation, one of the most common arrhythmia types. PAF worsens with time and affects the patient’s life quality negatively. In this study, we aimed to diagnose PAF early, so patients can start taking precautions before this disease gets worse. We used the atrial fibrillation prediction database, an open data from Physionet and constructed our approach using convolutional neural networks. Heart rate variability (HRV) features are calculated from time-domain measures, frequency-domain measures using power spectral density estimations (fast Fourier transform, Lomb–Scargle, and Welch periodogram), time-frequency-domain measures using wavelet transform, and nonlinear Poincare plot measures. We also normalized these features using min-max normalization and z-score normalization methods. In addition, we also applied alternatively the heart rate normalization (HRN), which gave promising results in a few HRV-based research, before calculating these features. Thus, HRV data, HRN data, and HRV features extracted from six different combinations of these normalizations, in addition to no normalization cases, were applied to the convolutional neural networks classifier. We tuned the classifiers using 90% of samples and tested the classifiers’ performances using 10% of data. The proposed approach resulted in 95.92% accuracy, 100% precision, 91.84% recall, and 95.74% f1-score in HRV with z-score feature normalization. When the heart rate normalization was also applied, the proposed approach reached 100% accuracy, 100% precision, 100% recall, and 100% f1-score in HRV with z-score feature normalization. The proposed method with heart rate normalization and z-score normalization methods resulted in better classification performance than similar studies in the literature. In addition, although deep learning models offer no use of separate feature extraction processes, this study reveals that using HRV-specific feature extraction techniques may improve the performance of deep learning algorithms in HRV-based studies. Comparing the existing studies, we concluded that our approach provides a much better tool to diagnose PAF patients.
Clock distribution networks with on-chip transmission lines

Today's fabrication process scaling enables on-chip lossy transmission lines to be used for long interconnects and high-speed clocking. Advantages and design tradeoffs of on-chip transmission lines are discussed and a 100-mm/sup 2/ 5-GHz clocking chip using on-chip transmission lines is introduced.
MEMS Aluminum Nitride Technology for Inertial Sensors

The design and fabrication of MEMS Inertial Sensors (both accelerometers and gyroscopes) made of Aluminum Nitride (AlN) is described in this dissertation. The goal of this work is to design and fabricate inertial sensors based on c-axis oriented AlN polycrystalline thin films.AlN is a post-CMOS compatible piezoelectric material widely used for acoustic resonators, such Bulk Acoustic Wave (BAW) and Lamb Wave Resonators (LWR). In this work we develop the design techniques necessary to obtain inertial sensors with AlN thin film technology. Being able to use AlN as structural material for both acoustic wave resonator and sensing elements is key to achieve the three level integration of RF-MEMS components, sensing elements and CMOS in the same chip. Using AlN as integration platform is particularly suitable for large consumer emerging markets where production costs are the major factor that determine a product success.In order to achieve a platform integration, the first part of this work focuses on the fabrication process: starting from the fabrication technology used for LWR devices, this work shows that by slightly modifying some of the fabrication steps it is possible to obtain MEMS accelerometers and gyroscopes with the same structural layers used for LWR. In the second part of this work, an extensive analysis, performed with analytical and Finite Element Models (FEM), is developed for beam and ring based structures. These models are of great importance as they provide tools to understand the physics of lateral piezoelectric beam actuation and the major limitations of this technology.Based on the models developed for beam based resonators, we propose two designs for Double Ended Tuning Fork (DETF) based accelerometers.In the last part of the dissertation, we show the experimental results and the measurements performed on actual devices. As this work shows analytically and experimentally, there are some fundamental constraints that limit the ultimate sensitivity of piezoelectric sensors based on resonating beam structures. Although the limitations of the structures here considered cannot achieve tactical grade sensitivities, this research proves that it is possible to achieve performances close to those required by large consumer electronics. This work proves that AlN based platforms can be a great opportunity for future developments in IMU and in general for MEMS integrated solutions.
DESIGN AND ANALYSIS OF NEURAL FUZZY BASED DC-DC CONVERTER CONTROLLER OPTIMIZED WITH SWARM INTELLIGENCE

The use of DC-DC switched-mode power converters is continuously growing both in power electronics products and systems, e.g. in telecommunication applications, commercial grid systems among others. In a DC-DC converter application, it is always desired to obtain a regulated output voltage despite changes in input voltage, load current and converter components.To obtain regulated output voltage, researchers have used conventional fixed gain PID controllers which suffer from the effects of sensitivity to disturbances and system non-linearity. To improve performance of the DC-DC converter controllers, intelligent controllers based on Adaptive Neural-Fuzzy Inference System (ANFIS) which does not need the exact mathematical model of the system has been designed by various researchers. These methods include: Gradient Descent (GD) and Hybrid method (combining Gradient Descent (GD) and Least Square Estimation (LSE)). In these methods, ANFIS controller’s input membership function parameters are tuned and optimized by finding gradient of the error between input and output of the controller, then propagating it back into the controller. This usually slows converge of controller parameters (membership functions shape and range) and can lead to convergence in local minimum.In this research, Particle Swarm Optimization is proposed for tuning and optimization of ANFIS controller input membership function parameters so as to regulate output voltage of the DC–DC converter and improve its efficiency. Three categories of tests for the controller, namely, start-up, load regulation and line regulation, are carried out to evaluate the performance of the proposed controliiisystem. Simulation results demonstrate that the proposed optimization method makes the controller parameters converge faster with smallest root mean square error (RMSE). Also the controller realizes a better output voltage tracking with minimal overshoot, small steady state error, short settling time and improved converter efficiency.
Multiresolution 3D Optical Mapping of Immune Cell Infiltrates in Mouse Asthmatic Lung

Asthma is a chronic inflammatory airway disease driven by various infiltrating immune cell types into the lung. Optical microscopy has been used to study immune infiltrates in asthmatic lungs. Confocal laser scanning microscopy (CLSM) identifies the phenotypes and locations of individual immune cells in lung tissue sections by employing high-magnification objectives and multiplex immunofluorescence staining. In contrast, light-sheet fluorescence microscopy (LSFM) can visualize the macroscopic and mesoscopic architecture of whole-mount lung tissues in three dimensions (3D) by adopting an optical tissue-clearing method. Despite each microscopy method producing image data with unique resolution from a tissue sample, CLSM and LSFM have not been applied together because of different tissue-preparation procedures. Here, we introduce a new approach combining LSFM and CLSM into a sequential imaging pipeline. We built a new optical tissue clearing workflow in which the immersion clearing agent can be switched from an organic solvent to an aqueous sugar solution for sequential 3D LSFM and CLSM of mouse lungs. This sequential combination microscopy offered quantitative 3D spatial analyses of the distribution of immune infiltrates in the same mouse asthmatic lung tissue at the organ, tissue, and cell levels. These results show that our method facilitates multiresolution 3D fluorescence microscopy as a new imaging approach providing comprehensive spatial information for a better understanding of inflammatory lung diseases.
HAK ATAS KEKAYAAN INTELEKTUAL (HAKI) DALAM DUNIA TEKNOLOGI INDUSTRI BERBASIS REVOLUSI 4.0 DI INDONESIA

Hak Atas Kekayaan Intelektual (HaKI) adalah hak yang berasal dari kegiatan intelektual manusia yang memiliki manfaat ekonomi atau hak yang timbul dari hasil pola pikir yang menghasilkan suatu produk atau proses yang berguna untuk kepentingan manusia. Tujuannya adalah untuk mendorong dan menumbuhkembangkan semangat terus berkarya dan mencipta .
Multi-Agent Task Negotiation Among UAVs to Defend Against Swarm Attacks

Abstract : This research involves a multi-agent based simulation modeling a large swarm of adversarial unmanned aerial vehicles (UAVs) attacking a surface target and groups of friendly UAVs responding to thwart the attack. Defense systems need to cooperatively negotiate which enemy systems to engage to maximize the number of aggressor systems destroyed. The research questions we wish to explore are as follows: (1) Do decentralized assignment methods approach centralized methods' effectiveness in complex scenarios with a large number (up to 150 aggressor vs. 450 defender) of agents? ; (2) How much do other factors in a complex scenario contribute to a blue team's defence capability as compared to the assignment method (i.e., is assignment method a major factor in blue's effectiveness)? ; and (3) What are the tradeoffs between global and local information availability versus performance? Using optimal centralized task assignment methods as a baseline, various distributed methods are examined for efficiency and effectiveness. Our findings indicate that the optimality of distributed methods approaches that of centralized methods, though further study is warranted in future simulations with additional constraints, and in field experimentation with physical UAVs. We further find that the number of defender agents, the effectiveness of their weapon systems, and their speed contribute significantly to the defender swarm's effectiveness.
Office Location in a Post-Industrial Urban Environment

Part 1 Introduction: definitions of terms scope of the proposed research. Part 2 Overview of the office location research: development of the US office industry and the related literure office location theory conclusions. Part 3 Research design: research questions research methods study area consttruction of the data resources. Part 4 Office activity and structure linkages: office firms in office structures non-office firms in office structures further investigations conclusions. Part 5 Dallas County office locations: the Dallas county office industry the Dallas County office infrastructure the office activiy/land use connection special classes of structures and activities conclusions. Part 6 Closing: major findings policy implications future research.
Optimal split ratio for high-speed permanent magnet brushless DC motors

The ratio of rotor to stator diameter, i.e. split ratio, is one of the most important design parameters for permanent magnet machines, as it can significantly influence their power density and efficiency. Previous work has shown that an optimal split ratio exists for minimum copper loss and can be obtained by using a simple formula. However, this expression neglects the stator iron loss which for high-speed and/or high pole permanent magnet machines can become the dominant motor loss. This paper investigates the influence of iron loss on the optimal split ratio for maximum efficiency, with particular emphasis on high-speed machines.
Fuzzy control of automatic automobile obstacle avoiding

The unmanned automobile has become a major research project in the automobile industry. The automobile will meet obstacles unavoidably on the road, so it is necessary to design a feasible controller for avoiding obstacles. Because of the complexity of the automatic obstacle avoiding system itself and of the uncertainty of the parameters, the original method of designing a controller by establishing models is limited. Driver experience provides a good control example for designing controllers and one can make use of this experience to design a controller for avoiding obstacles, which simulates the driving behaviors of humans. At present, fuzzy control technology has been widely used in many fields. It is commonly considered as an effective method to process uncertain information and control complicated nonlinear systems. It does not rely on the model of the controller object, with a better adaptability to changes in parameters of the system. The expression ability of the fuzzy language variable can be used to describe the experiences of humans. However in actual applications, where there are more fuzzy variables, the rule base will have a very large scale and the regulation of rules will become very complicated. In this article, a fuzzy controller based on a neural network is put forward through analyzing the features of the fuzzy control model and the driving experience of humans, greatly simplifying the design of the fuzzy controller for complicated systems.
Lining Up Data in ArcGIS: A Guide to Map Projections

Lining Up Data in ArcGIS: A Guide to Map Projections is an easy-to-navigate troubleshooting reference for any GIS user with the common problem of data misalignment. Complete with full-color maps and diagrams, this book presents practical techniques on how to identify data projections, create custom projections to align data, and solve common data alignment problems. The second edition is compatible with ArcGIS 10.1 and includes new sections on aligning CAD data and appropriate use of the web Mercator projection. This book will benefit new and experienced GIS users alike.
Identifying ship parameters with the aid of genetic algorithm

The article discusses the problem of identifying dynamic parameters of the Bech-Wagner model in such a way that the output characteristics of the model are close to those of a model ship bearing the shipyard symbol B-481. The identification has been carried out in the off-line mode using a genetic algorithm. The included results of simulation calculations, done using Matlab/Simulink, testify to correct operation, in terms of accuracy and rate, of the genetic algorithm.
Voltages induced on a power distribution line by overhead cloud lightning

Lightning electromagnetic fields interact with electric power lines to induce currents and line voltages. There are two major types of lightning: ground flashes and cloud flashes. In general, lightning between cloud and ground causes higher voltages on power lines, either by direct strike or by the inducing effects of nearby events, than does lightning within or between clouds or from cloud to air (all commonly known as cloud lightning). Voltages induced by overhead cloud lightning on a 448 m open-circuited power distribution line and the corresponding north-south component of the lightning magnetic field were simultaneously measured at the NASA Kennedy Space Center during the summer of 1986. The incident electric field was calculated from the measured magnetic field. The electric field was then used as an input to the computer program, EMPLIN, written and provided by Dr. F. Tesche, that calculated the voltages at the two ends of the power line. EMPLIN models the frequency-domain field/power line coupling theory found, for example, in Ianoz et. al. The direction of the source, which is also one of the inputs to EMPLIN, was crudely determined from a three-station time delay technique. The authors find reasonably good agreement between calculated and measured voltagemore » waveforms. 9 refs., 4 figs.« less
Study of a Pneumatic Hybrid aided by a FPGA Controlled Free Valve Technology System

Urban traffic involves frequent acceleration and deceleration. During deceleration, the energy previously used to accelerate the vehicle is mainly wasted on heat generated by the friction brakes. If this energy that is wasted in traditional IC engines could be saved, the fuel economy would improve. Today there are several solutions to meet the demand for better fuel economy and one of them is the pneumatic hybrids. The idea with pneumatic hybridization is to reduce the fuel consumption by taking advantage of the, otherwise lost, brake energy. In the work presented in this study a heavy duty Scania D12 engine has been converted to work as a pneumatic hybrid. During pneumatic hybrid operation the engine can be used as a 2‐stroke compressor for generation of compressed air during vehicle deceleration (compressor mode) and during vehicle acceleration the engine can be operated as an air‐motor driven by the previously stored pressurized air (air‐motor mode). The compressed air is stored in a pressure tank connected to one of the inlet ports. One of the engine inlet valves has been modified to work as a tank valve in order to control the pressurized air flow to and from the pressure tank. In order to switch between different modes of engine operation there is a need for a fully variable valve actuation (FVVA) system. The engine used in this study is equipped with pneumatic valve actuators that use compressed air in order to drive the valves and the motion of the valves are controlled by a combination of electronics and hydraulics. Since the pneumatic VVA system, used in the work presented in this thesis, was still under development, the need to evaluate the system before any extensive use was more than necessary. The evaluation of the pneumatic VVA system verified its potential and a stable function was noticed together with great flexibility to manipulate both valve timing and valve lift to fit the desired purpose. Initial testing concerning the different pneumatic hybrid engine modes of operation was conducted. Both compressor mode (CM) and air‐motor mode (AM) were executed successfully. Optimization of CM and AM with regards to valve timing and valve geometry has been done with great improvements in regenerative efficiency which is defined as the ratio between the energy extracted during AM and the energy consumed during CM. (Less)
There Is No "I" in Torrent: Collective Effort and the Collected Self in Peer-to-Peer File-Sharing Networks

In this study, the file-sharing networks known as private trackers are discussed, which are networks centered around BitTorrent technology. The purpose of the study is to explore how individuals share content on private trackers and discuss how the act of uploading is affected by actors within the file-sharing network. By using actor-network theory, both human and non-human actors that affect the network are taken into account. The main findings are as following. File-sharing on this type of platform is dependent on users experiencing a sense of community. This experienced sense of community is not, however, taken as a basis for an academic definition of the concept. Instead, actor-network theory is used to show how the sense of community on the private trackers is constructed through interactions between several human, as well as non-human, actors. Hence, the community cannot be said to be primarily social in nature. Since the network does not take the form of a primarily social grouping, the private tracker cannot be said to be a gift-giving economy, as described in previous research on file-sharing. Because of the large number of non-human actors in the network, interactions within the network are also shaped by the various incentivizing features built into the technology. Since gift exchanges between human actors are mediated by and through a large number of technological components, the metaphor of gift-giving is inadequate in the case of private trackers.
Onshore Skilled Migrant Engineers: Skills Wastage and Atrophy

This article reports the survey findings from a research project exploring the use of skilled migration as a strategy for assisting in overcoming the pressing risks facing the Australian rail industry in workforce development. These risks are associated with an ageing workforce and skill shortages in engineering and technical areas. The data presented originate from a survey of skilled migrants in an employment program for skilled migrants in the Sydney metropolitan area and skilled migrant engineers in Victoria. The findings point to the potential, and yet untapped source of highly qualified professionals who could be targeted for recruitment by the rail industry. Of greater significance are the broader implications of the research in terms of engineering skills wastage and atrophy in a time when Australia cannot produce enough engineering professionals domestically to meet the demand. This is all set against a backdrop of global engineering shortages and fierce domestic competition for engineering skills made even more prominent with the second wave of the resources boom.
Consideration on the characteristics of antennas close to lossy objects

Recently mobile telephone terminals have been used not only for voice but also data. This tendency suggests that there can be various positions of the telephone near a human body other than the ear. From this point of view, it is very interesting to know how much the characteristics of the antennas mounted on the telephone are changed in each case. Therefore, in this paper a basic investigation into the characteristics (input impedance, radiation efficiency and SAR) of an antenna with consideration of the relative positions between the antenna and the object is presented. In particular directions of two different nulls of the radiation pattern in the far-field are chosen as the positions. Various numerical simulated results for different locations are obtained and discussed.
Human male and female biodynamic response to underwater explosion events.

Abstract : Ship survivability is a complex issue. For a ship to remain a viable warfighting asset following damage resulting from enemy munitions such as mines or torpedoes, the ship's crew must remain sufficiently uninjured to be capable of employing the ship's weapons systems. Sophisticated computer simulations of human response, such as those made possible by the Articulated Total Body (ATB) Model, may be used to estimate injury potentials, and thus crew survivability, during underwater explosion events. With this goal in mind, accelerometer data and video footage recorded during live fire testing were used to generate and validate ATB models for both a seated and a standing Hybrid III Anthropomorphic Test Device (ATD). Subsequently, these models were used to estimate the biodynamic response and injury potentials for both male and female human subjects in a vessel subjected to underwater explosion events. This established a method for evaluating crew survivability for a given underwater explosion induced deck excitation.