Miracle-dz/UniFAR-FTUs huggingface dataset:
Network Analysis and Modeling , CSCI 5352 Lecture 11 Prof .

network is not connected. The third shows an (cid:96) = 2 snowball sample from a randomly chosen seed, producing n sample = 164 and m sample = 187, with mean degree (cid:104) k (cid:105) = 2 . 3. Here are the degree distributions for all three networks, with the right-tail
Three-dimensional obstacle classification in laser range data

The threat of hostile surveillance and weapon systems require military aircraft to fly under extreme conditions such as low altitude, high speed, poor visibility and incomplete terrain information. The probability of collision with natural and man-made obstacles during such contour missions is high if detection capability is restricted to conventional vision aids. Forward-looking scanning laser rangefinders which are presently being flight tested and evaluated at German proving grounds, provide a possible solution, having a large field of view, high angular and range resolution, a high pulse repetition rate, and sufficient pulse energy to register returns from wires at over 500 m range (depends on the system) with a high hit-and-detect probability. Despite the efficiency of the sensor, acceptance of current obstacle warning systems by test pilots is not very high, mainly due to the systems' inadequacies in obstacle recognition and visualization. This has motivated the development and the testing of more advanced 3d-scene analysis algorithm at FGAN-FIM to replace the obstacle recognition component of current warning systems. The basic ideas are to increase the recognition probability and to reduce the false alarm rate for hard-to-extract obstacles such as wires, by using more readily recognizable objects such as terrain, poles, pylons, trees, etc. by implementing a hierarchical classification procedure to generate a parametric description of the terrain surface as well as the class, position, orientation, size and shape of all objects in the scene. The algorithms can be used for other applications such as terrain following, autonomous obstacle avoidance, and automatic target recognition.
Combustion Noise Investigation

Abstract : Improved methods for predicting both direct and indirect combustion noise from aircraft engines are developed and experimentally evaluated by conducting rig experiments and by comparing with data from several full scale engines. Comparison of predictions with full scale engine data indicated that direct combustion noise is the dominant source for the P and WA engines investigated. The direct combustion noise prediction system includes expressions for acoustic power level, peak frequency and full-scale engine acoustic transmission loss due to combustor/duct coupling and turbine attenuation. These expressions are derived in terms of readily available performance and geometry parameters from the burner and turbine. New parameters introduced by the prediction system include the effects of fuel nozzle number and burner length. Predictions are shown to be in good agreement with data obtained from component rig tests on several JT8D type burner configurations (including single and multiple fuel nozzle, conventional and low emission designs). In addition, when transmission losses are accounted for, the predictions are also shown to be in good agreement with observed combustion noise levels and peak frequencies from four P and WA turbofan engines (i.e. the JT8D-109, JT9D-7A, JT9D-70 and the prototype JT10D). Predicted combustion noise directivity patterns and spectra shapes are determined empirically, using the data from both the rig tests and these four engines. Results from the analytical and experimental combustion noise investigations are used to identify combustion noise reduction methods obtainable through modifications in burner design and/or performance parameters.
Textured and Hierarchically Constructed Polymer Micro- and Nanoparticles

Microfluidic techniques allow for the tailored construction of specific microparticles, which are becoming increasingly interesting and relevant. Here, using a microfluidic hole-plate-device and thermal-initiated free radical polymerization, submicrometer polymer particles with a highly textured surface were synthesized. Two types of monomers were applied: (1) methylmethacrylate (MMA) combined with crosslinkers and (2) divinylbenzene (DVB). Surface texture and morphology can be influenced by a series of parameters such as the monomer–crosslinker–solvent composition, surfactants, and additives. Generally, the most structured surfaces with the simultaneously most uniform particles were obtained in the DVB–toluene–nonionic-tensides system. In a second approach, poly-MMA (PMMA) particles were used to build aggregates with bigger polymer particles. For this purpose, tripropyleneglycolediacrylate (TPGDA) particles were synthesized in a microfluidic co-flow arrangement and polymerized by light- irradiation. Then, PMMA particles were assembled at their surface. In a third step, these composites were dispersed in an aqueous acrylamide–methylenebisacrylamide solution, which again was run through a co-flow-device and photopolymerized. As such, entities consisting of particles of three different size ranges—typically 0.7/30/600 µm—were obtained. The particles synthesized by both approaches are potentially suitable for loading with or incorporation of analytic probes or catalysts such as dyes or metals.
Evaluation of satisfaction with three different cervical cancer screening modalities: clinician-collected Pap test vs. HPV test by self-sampling vs. HPV test by urine sampling

Objective Human papillomavirus testing by self-sampling and urine sampling might be alternatives to Papanicolaou test (Pap test) for cervical cancer screening (CCS), and may increase compliance and adherence thereto. The present study aimed to explore satisfaction and preferences for cervical screening modalities among Korean women. Methods In total, 732 women aged between 20 and 69 years responded to a questionnaire designed to survey the women's perceived satisfaction for the 3 CCS modalities: clinician-collected Pap test, self-collected vaginal sampling (self-sampling) and urine sampling. Results Overall satisfaction was significantly higher with both the self-sampling and urine sampling than the clinician-collected Pap test (odds ratio [OR]=2.01; 95% confidence interval [CI]=1.48–3.00 and OR=2.47; 95% CI=1.75–3.48, respectively). Psychological distress, including embarrassment, pain, anxiety, discomfort, and stress, with self-sampling and urine sampling were significantly lower than that with the Pap test. 52% of participants reported preferences for self-sampling in the next screening round. Conclusions Korean women were more likely to report satisfaction with alternative modalities (self-sampling and urine sampling) for CCS in comparison to the Pap test. This suggests that self-collected modalities may help with improving CCS uptake rates by eliminating burden related with the Pap test. However, further studies for test accuracy and cost-effective analysis of the alternative modalities should be conducted in order to apply CCS.
Vehicle dynamics integrated control for four-wheel-distributed steering and four-wheel-distributed traction/braking systems

In this article, vehicle dynamics integrated control algorithm using an on-line non-linear optimization method is proposed for 4-wheel-distributed steering and 4-wheel-distributed traction/braking systems. The proposed distribution algorithm minimizes work load of each tire, which is controlled to become the same value. The global optimality of the convergent solution of the recursive algorithm can be proved by extension to convex problems. This implies that theoretical limited performance of vehicle dynamics integrated control is clarified. Furthermore, the effect of this vehicle dynamics control for the 4-wheel-distributed steering and 4-wheel-distributed traction/braking systems is demonstrated by simulation to compare with the combination of the various actuators.
An efficient way of articulation or suppression in agile methodologies

In any development life cycle documentation is known for the way of communication among all the members related to the software whether the person is developer or any stakeholder. The development under methodology does not believe on paper rather believe on development with the help of face to face communication but without paper work legal issues and to maintain quality issues are not easy. So it is the main issue that we have to keep documentation or not in agile environment when we are developing under the agile methodology. Keeping the documentation where it is needed as simple as possible is the main goal of agile projects. But when we use an agile approach in more complex projects, it becomes more difficult to determine the need of documentation. In our paper, we propose ways to integrate the mechanism to solve documentation problems. This paper contributes (i) an investigation documentation problems, that it is necessary or not in agile environment (ii) if yes then finding various techniques and standards to keep quality of the documentation (iii) and the various proposals for future improvements of agile documentation.
A New Method of High-Precision Coordinate Transformation Research Based on Bursa Model

The common point coordinate precision affect accuracy of coordinate transformation. In order to overcome the individual common point coordinate precision is too low or the error is large under some condition, a new method of high-precision coordinate transformation based on bursa model was discussed, which used the theory of robust resistance estimation to solve and calculate the high-precision coordinate transformation parameters, finally achieved the purpose of high-precision coordinate transformation. By calculation and comparison with experimental date, the result show that the method is practical and effective, so it is completely feasible in application surveying engineering.
Highly‐isolated unidirectional multi‐slot‐antenna systems for enhanced MIMO performance

In this article, an improved approach is presented for designing Electromagnetic Bandgap (EBG) reflectors for slot antennas by using a waveguide aperture source in simulating reflection phase test. In this manner the nonplanar nature of the near field at the location of the source, that is, antenna, as well as its loading effect on the reflector are incorporated in the design of a mushroom‐type EBG structure operating at 5.3 GHz. This EBG design performs as an efficient reflector in normal wave incidence while suppressing the substrate‐bound modes propagating in the azimuthal directions. The designed EBG reflector is employed in several two‐slot‐antenna structures to establish excellent antenna isolation of at least 25 dB and single antenna gain of 5 dB at 5.3 GHz in each scenario. To further reduce coupling, the antennas are reoriented to benefit from polarization mismatch and radiation pattern nulls, resulting in isolation values of above 40 dB for antennas spaced one wavelength apart. The two‐antenna structures are also characterized for MIMO performance in a reverberation chamber and demonstrate an impressive diversity gain of better than 8 dB in a rich multipath environment. © 2013 Wiley Periodicals, Inc. Int J RF and Microwave CAE 24:289–297, 2014.
Cytomegalovirus-Induced Pericarditis, Pulmonary Embolism, and Transaminitis in an Immunocompetent Patient

Cytomegalovirus (CMV) is a global virus with a high prevalence that usually manifests in immunocompromised patients, with significant morbidity and mortality. Though fairly common in immunocompetent patients admitted in the intensive care units, the infection is usually subclinical. Healthy individuals either have a subclinical course or exhibit a mild mononucleosis-like syndrome. Due to this, little attention has been given to morbidity and mortality that CMV infection may lead to in immunocompetent patients. We report a case of a 55-year-old immunocompetent female with no significant history who was admitted to our medical service with pericarditis, complicated by a right pulmonary embolism. Infectious workup revealed CMV as the cause for the presenting symptoms.
What is the place of technical and scientific service companies (TSS) in the process of developing new products? Insights on their managerial and organizational features

The new product development (NPD) process is composed by several phases, from concept to final production rump-up, and for each phase, it is now widely recognized that innovators can find external supporting services as design, prototyping, engineering, etc. Companies offering these technical and scientific services (TSS) are in fact more and more diffused. Literature has conducted some explorative attempts to study more in depth how these service companies are organized and managed by assuming a sort of internal perspective and analyzing the main companies' choices in terms of business model elements. In a similar vein, we deeply study the organizational and managerial features for a sample of technical service Italian companies. The empirical study has been conducted by a twofold aim: (i) to search for TSS companies that support the entire process of new product development and/or, conversely, that provide services to a smaller part of the innovation process or only on few stages in order to identify clusters of companies; (ii) once identified clusters, to study if they show differences in terms of some organisational and managerial features. The analysis of the gathered data has actually allowed to identify some typical profiles of TSS companies in which the elements of the business model take a particular and coherent combination.
Towards Fault-Tolerant and Secure On-Line Services

Integrating fault tolerance and security is crucial for building trustworthy on-line services. Such integration is studied in this dissertation through the design and implementation of COCA (Cornell On-line Certification Authority), a fault-tolerant and secure on-line certification authority. COCA maintains a service private key to sign the responses it sends to clients, and achieves availability using replicated servers that employ threshold cryptography and store shares of the service private key. Periodic share refreshing, coupled with periodic recovery of server states, defends against so-called mobile adversaries which move from one server to another. COCA is designed for a weak system model: no assumptions are made about server speed or message delay, and communications are assumed to employ links that are intermittent. The result is a service with reduced vulnerability to attacks because, by their nature, weaker assumptions are more difficult for adversaries to invalidate. COCA further employs an array of defense mechanisms specific to denial of service attacks. COCA runs both on a local area network and on the Internet. Performance measurements of COCA under simulated denial of service attacks demonstrate the effectiveness of COCA's defenses.
A CFD Tutorial in Julia: Introduction to Compressible Laminar Boundary-Layer Flows

A boundary-layer is a thin fluid layer near a solid surface, and viscous effects dominate it. The laminar boundary-layer calculations appear in many aerodynamics problems, including skin friction drag, flow separation, and aerodynamic heating. A student must understand the flow physics and the numerical implementation to conduct successful simulations in advanced undergraduate- and graduate-level fluid dynamics/aerodynamics courses. Numerical simulations require writing computer codes. Therefore, choosing a fast and user-friendly programming language is essential to reduce code development and simulation times. Julia is a new programming language that combines performance and productivity. The present study derived the compressible Blasius equations from Navier–Stokes equations and numerically solved the resulting equations using the Julia programming language. The fourth-order Runge–Kutta method is used for the numerical discretization, and Newton’s iteration method is employed to calculate the missing boundary condition. In addition, Burgers’, heat, and compressible Blasius equations are solved both in Julia and MATLAB. The runtime comparison showed that Julia with for loops is 2.5 to 120 times faster than MATLAB. We also released the Julia codes on our GitHub page to shorten the learning curve for interested readers.
Doherty power amplifier with enhanced in‐band load modulation for 100 MHz LTE‐advanced application

This article presents a modified GaN Doherty power amplifier (PA) for 100 MHz long‐term evolution (LTE)‐advanced application at 2.5 GHz. To improve load modulation and consistency of the output power and efficiency in the operation bandwidth, a method was proposed by choosing optimal load impedances in Class C mode, properly increased gate bias voltage and optimized input matching network for the design of the peaking amplifier. When driven with 100 MHz LTE‐advanced signals, the designed PA achieves adjacent channel leakage ratio of −49 dBc after digital predistortion at 9 dB back‐off output power of about 40.5 dBm with efficiency of 42%. © 2015 Wiley Periodicals, Inc. Microwave Opt Technol Lett 57:391–395, 2015
Optimal passive and semi-active control of a wind excited suspension bridge

Herein, a model of an existing suspension bridge is developed at the numerical level in the ANSYS finite element code starting from original data, and it is used (a) to simulate the structural response under strong wind excitation; (b) to assess the efficacy for the bridge protection of passive and on/off Skyhook semi-active control laws, here presented in a modified version, with due attention on their feasibility and reliability. Their efficacy is shown and the factors contributing to their positive performance are highlighted. Wind loading, corresponding to the extreme event, derives from generated 3D turbulent wind fields, non-homogeneous in space to consider the atmospheric boundary layer.
Sentiment analysis on film review in Gujarati language using machine learning

Opinion analysis is by a long shot most basic zone of characteristic language handling. It manages the portrayal of information to choose the motivation behind the wellspring of the content. The reason might be of a type of gratefulness (positive) or study (negative). This paper offers a correlation between the outcomes accomplished by applying the calculation arrangement using various classifiers for instance K-nearest neighbor and multinomial naive Bayes. These techniques are utilized to assess a significant assessment with either a positive remark or negative remark. The gathered information considered on the grounds of the extremity film datasets and an association with the results accessible proof has been created for a careful assessment. This paper investigates the word level count vectorizer and term frequency inverse document frequency (TF-IDF) influence on film sentiment analysis. We concluded that multinomial Naive Bayes (MNB) classier generate more accurate result using TF-IDF vectorizer compared to CountVectorizer, K-nearest-neighbors (KNN) classifier has the same accuracy result in case of TF-IDF and CountVectorizer.
Detection of Outliers in LiDAR Data Acquired by Multiple Platforms over Sorghum and Maize

High-resolution point cloud data acquired with a laser scanner from any platform contain random noise and outliers. Therefore, outlier detection in LiDAR data is often necessary prior to analysis. Applications in agriculture are particularly challenging, as there is typically no prior knowledge of the statistical distribution of points, plant complexity, and local point densities, which are crop-dependent. The goals of this study were first to investigate approaches to minimize the impact of outliers on LiDAR acquired over agricultural row crops, and specifically for sorghum and maize breeding experiments, by an unmanned aerial vehicle (UAV) and a wheel-based ground platform; second, to evaluate the impact of existing outliers in the datasets on leaf area index (LAI) prediction using LiDAR data. Two methods were investigated to detect and remove the outliers from the plant datasets. The first was based on surface fitting to noisy point cloud data via normal and curvature estimation in a local neighborhood. The second utilized the PointCleanNet deep learning framework. Both methods were applied to individual plants and field-based datasets. To evaluate the method, an F-score was calculated for synthetic data in the controlled conditions, and LAI, the variable being predicted, was computed both before and after outlier removal for both scenarios. Results indicate that the deep learning method for outlier detection is more robust than the geometric approach to changes in point densities, level of noise, and shapes. The prediction of LAI was also improved for the wheel-based vehicle data based on the coefficient of determination (R2) and the root mean squared error (RMSE) of the residuals before and after the removal of outliers.
Electrical assessment of diamond MIM capacitors and modeling of MEMS capacitive switch discharging

This paper presents the electrical assessment and modeling of the discharge process in RF MEMS capacitive switches with nanocrystalline diamond dielectric film. The assessment is performed by taking into account the detailed dc electrical characterization of the dielectric film at different temperatures with the aid of metal–insulator–metal (MIM) capacitors fabricated on the same die. The model assumes screening of trapped charges through carriers that are injected from the bottom electrode, transported through grain boundaries and redistributed across the diamond film surface through the sp2 state of non-diamond carbon. Simulated data and experimental results are found to be in excellent agreement, clearly indicating that nanocrystalline diamond can be considered as a MEMS dielectric with predictable discharging process.
Near-Surface Topology and Flow Structure on a Delta Wing with Low Sweep Angle

The streamlines, and the corresponding patterns of velocity and vorticity, are characterized on a plane immediately adjacent to the surface of a delta wing using a laser-based technique of high-image-density particle image velocimetry. This technique provides the sequence of instantaneous states, as well as the corresponding time-averaged state, of the near-surface streamline topology and the associated critical points. These topological features are interpreted in terms of patterns of averaged and unsteady velocity, and averaged vorticity, which allow identification of regions of unsteadiness along the surface of the wing. These representations of the flow patterns on the stationary wing are also employed for the case of the wing subjected to small-amplitude perturbations in the pitching mode. Perturbations at or near the inherent frequency of the predominant unsteady event on the stationary wing yield substantial changes of the surface topology and flow structure. Furthermore, response of this topology and flow structure to transient, ramplike pitching motion is addressed to define the succession of states during the relaxation process immediately after cessation of the wing motion.