Miracle-dz/UniFAR-FTUs huggingface dataset:
A Distributed Heuristic Algorithm for Delay Constrained Energy Efficient Routing in Wireless Sensor Networks

Besides energy restriction, wireless sensor networks (WSNs) should be able to provide bounded end-to-end delay when they are used to support real-time applications such as early forest fire alarm systems. In this paper, we investigate the problem of finding the least energy consumption route subject to a delay constraint with low computational complexity in such networks. Based on the distance-vector routing approach, which has less computational complexity and message overhead, we propose a distributed heuristic algorithm called Delay Constrained Energy Efficient Routing (DCEER) in order to minimize the total energy consumption while meeting the end-to-end delay requirement. DCEER only requires a moderate amount of information at each sensor node and does not suffer from the excessive running time. We prove that our proposed algorithm always finishes within a finite time and the computation complexity is only O(n), where n is a divisor of the number of sensor nodes. By mathematical proof and simulation, we verify that DCEER is suitable for large-scale WSNs because the number of messages exchanged between sensor nodes are represented by a polynomial function. Furthermore, we evaluate our proposal to compare its performance with related protocols.
Characterization of Hydroxyapatite Coating on Ti6Al4V by Sol-gel Method

Biomaterials are natural or synthetic materials that are used in human body and are materials to evaluate, treat, support or replace any tissue, organ, or function of the body. Due to its favorable biocompatibility and mechanical properties, HA-coated metal-based implants are used in the orthopedic surgery operations. For this purpose, sol-gel synthesized nano sized HA powders were produced. Ti6Al4V alloy was coated with hydroxyapatite(HA) by using the sol–gel method. Surface morphologies, thermal, mineralogical properties and bioactivity of the coatings were examined and the characterization of the coatings was performed by using DTA-TG, XRD, SEM, and EDX.
Tribological Properties of Multi-Layer a-C:H:W/a-C:H PVD-Coatings Micro-Structured by Picosecond Laser Ablation

An increase of the service life of tribological systems subjected to dynamic-mechanical loads is important for numerous mechanical applications. The present study deals with the impact of several micro-structured surface topographies of graded Cr/CrNx/(Cr,W)Cy/a-C:H:W/a-C:H PVD hard coatings on their friction and wear behavior. The coatings were applied by reactive magnetron sputtering on a hardened 1.2379 steel substrates and subsequently micro-structured by laser ablation using a picosecond laser. Pin-on-disc tests were carried out against aluminum under both oil lubrication and dry conditions. The diameters of the micro-dimples were varied between 50 μm, 100 μm and 150 μm at a constant degree of coating coverage of about 60 %. The coefficients of friction and wear were determined after 20,000 cycles by confocal laser-scanning microscope (CLSM), scanning electron microscopy (SEM) and by energy-dispersive X-ray spectroscopy (EDX) to analyze possible transfer layer formations.
Probabilistic approach in path planning for UAVs

This paper introduces a probabilistic approach to the problem of mission planning for UAVs (Unmanned Aerial Vehicles) flying through an area of multiple sources of threat. As the first step, this new approach is used in path planning. It is assumed that the probabilistic map of the area of operation is available during the mission. Probabilistic map is defined as the risk of exposure to the sources of threat as a function of position. In the path planning, the objective is to go to a target location along the shortest possible path with an acceptable probability of getting disabled or along an acceptably long path with the lowest possible probability of getting disabled. Depending on the definition of threat, a UAV is considered "disabled" by a source of threat when it is detected, hit or shut down. The conditional probability of a UAV getting disabled under the condition that it follows a certain path is defined and formulated based on the probabilistic map of the area. Then, two strategies that lead a UAV to the target through the area of operation is developed. The strategies use the local information of the probabilistic map and the information about the location of the target. They are parameterized to change the weighting on finding a shorter path or finding a path with smaller probability of getting disabled. Finally, the strategies are implemented in a case study to illustrate the application of the probabilistic approach. The paper includes a discussion on using the probabilistic approach in other phases of mission planning for multiple UAVs.
Electrospun PEDOT:PSS Electrolytic Capacitors Electrodes for Microelectronic Energy Storage

With a growing demand for autonomous sensors, the development of on-silicon supercapacitors is becoming a promising energy storage solution. Electrospinning is used as an additive fabrication method to deposit porous ultrahigh surface area PEDOT:PSS electrodes for use in electrolytic capacitors for microelectronic circuits. The electrospun fibre mats are utilized as both the anode and cathode with Lithium Perchlorate (LiClO4)/ Propylene Carbonate (PC) as the electrolyte. This work investigates the electrochemical operation, charge storage metrics, and lifecycle through cyclic voltammetry, DC charging, and electrochemical impedance spectroscopy. Results demonstrate non-faradaic charge storage dominates up to 1.1 V with a maximum achieved areal capacitance and energy storage of 5.25 mF/cm2
Influence of carbon or nitrogen dopants on the electronic structure, optical properties and photocatalytic activity of partially reduced titanium dioxide

For titanium dioxide with anatase structure doped with carbon or nitrogen, the first-principle method of projector augmented waves (PAW) is used to calculate electronic band structure, to evaluate vacancy formation energy for the oxygen sublattice, and to analyze optical absorption. It is demonstrated that the presence of carbon dopants results in the stabilization of oxygen vacancies and leads to increased absorption in the visible spectrum, which can facilitate the photocatalytic activity. The presence of nitrogen dopant also facilitates vacancy stabilization but no increase in the interband absorption is expected in the visible spectrum, i.e., the presence of nitrogen dopant cannot be considered as a factor contributing to increased photocatalytic activity. It follows from the calculated data that the maximum photocatalytic activity should be expected for the partiallyreduced anatase doped with carbon because of the absorption in the visible spectrum that combines with long time of electron-hole recombination.
An evaluation of force attenuation, comfort properties and density of materials for hip protective pads

We evaluated 15 materials for their effectiveness as hip protective pads for elderly women, including several materials used in commercially available pads and novel materials. The materials’ densities were measured, and they were tested for force attenuation (relevant to protection), permeability index (relevant to thermophysiological wear comfort) and interface pressure delivery (relevant to pressure comfort). Force attenuation values were obtained in drop impact tests. Permeability data were obtained from the dry thermal resistance and evaporative resistance of the pads tested using a sweating guarded hot plate. Interface pressure delivery values were acquired using a Salzmann pressure-measuring device MST MK IV. Experimental pads were graded, rated and ranked on their overall performance using weights applied to the four parameters. Vertically lapped nonwoven fabrics and treated knitted spacer fabrics were highly ranked and could be used as material for hip protective pads.
Analysis of the Absorption Phenomenon through the Use of Finite Element Method

In this text, a numerical model using the finite element method (FEM) is developed to describe absorption phenomena using the Beer–Lambert law. Numerical results are compared against experimental measurements made on alpha brass, characterized by photothermal radiometry (PTR). Results from the numerical analysis are in good agreement with the measurements obtained from the radiometry tests. In this technique the material is subjected to a laser heating, producing a thermal wave that is captured with a detector by means of the amplitude and phase parameters. The analysis of the data obtained from six samples provides information about their thermal properties, such as conductivity and diffusivity, which can be correlated with structural changes in a material. Results from this research lead to the characterization of mechanical properties of metallic materials.
VCSEL Arrays for Multicore Fiber Interconnects

Space-division-multiplexing using multicore optical fibers (MCFs) opens up the possibility to massively increase the data traffic capacity of optical interconnects used in data centers and high performance computing systems. One challenge with this solution is the fabrication of a dense vertical-cavity surface-emitting laser (VCSEL) array that matches the cores of the MCF, without degrading the performance of the individual VCSELs via electrical, thermal, or optical crosstalk. Here we present the development of a hexagonal VCSEL array, with 39 µm center-to-center spacing to match the geometry of a MCF from OFS, and capable of 40 Gb/s/channel providing an aggregate capacity of 240 Gb/s.
Controllable Unzipping of Carbon Nanotubes as Advanced Pt Catalyst Supports for Oxygen Reduction

Alternative carbon support materials provide great opportunities to fabricate advanced catalysts with enhanced activity and durability, especially for energy conversion and storage technologies based on the oxygen reduction reaction (ORR), such as fuel cells and metal–air batteries. In this work, a series of controllable unzipped carbon nanotubes (CNTs) have been successfully synthesized and used as Pt supports for highly efficient ORR catalysts. Benefiting from the unique structure constructed by the 1-D and 2-D nanomaterials, outstanding catalytic performance with enhanced Pt utilization, ORR activity, and durability is achieved for the catalyst of Pt loaded on the medium-level unzipped CNTs, with a remarkable half-wave potential of 0.915 V (vs RHE). The effective mass transport in the cathodes fabricated with the 3-D nanoarchitecture hybridized with CNTs and graphene ribbons catalyst supports results in a significant increase of peak power density for direct methanol fuel cells (DMFCs) compared to that.
The effectiveness of functionalized nano-hydroxyapatite filler on the physical and mechanical properties of novel dental restorative composite

Abstract This research work aims to represent the renovations in the physical and mechanical properties of nano-hydroxyapatites (nHAPs) filled dental restorative composite (DRCs). The concept of adhesive bonding has revolutionized adhesive dentistry. New or upgraded products are constantly being evolved with enhanced properties over their forebears and being introduced in the market. To achieve better interfacial strength and evaluate the effect of coupling agents, nano-hydroxyapatites particles were surface functionalizes with two different coupling agents (namely (3-methacryloxypropyl) trimethoxy silane (MPTS) and (3-aminopropyl) triethoxysilane (APTES). These nanoparticles were used in the formulation of high strength, photo-curable DRCs with varying the wt. % (0, 4, 8 and 12) of functionalized nHAPs. The matrix of the DRCs consists of bisphenol A-glycidyl methacrylate (Bis-GMA) as a base monomer and Tri-ethylene glycol dimethacrylate (TEGDMA) and 2-hydroxyethyl-methacrylate (HEMA) were used as a diluent monomer. The experimental investigations indicate that void contents and depth of cure of the composite shows the increasing trend with an increase in the functionalized filler particles. Hardness and compressive strength of the DRCs were improved by 39.52% for 12 wt. % MPTS treated (12 M) and 29.33% for 8 wt. % APTES treated (8 A) fillers respectively. However, the Flexural strength of the composite decreases with increases in the filler amount from 173.76 MPa to 122.84 MPa and further up to 83.63 MPa, but still this value is higher than that of an acceptable limit of flexural strength for dentistry (i.e. 74.2 MPa). Since it can be concluded that functionalized nHAPs filled dental composite is a promising material and has the potential to become a successful substitute for restorative dentistry. Graphical Abstract
Behavior and damage of a pipe in the presence of a corrosion defect depth of 10% of its thickness and highlighting the weaknesses of the ASME / B31G method

The company DRC (pipe repair Department) located within the SONATRACH Company of oil and gas in Algeria, which is responsible for the repair of pipelines for the transport of gas or crude petroleum, will rehabilitate old pipes that have operated on-line for approximately 30 years or come from remaining projects. On the assumption that rehabilitating a pipeline means making it workable under the same conditions as a new structure and reducing the overall cost of the project. The abandonment of these tubes will have an important environmental and financial impact. The rehabilitation, which consists of recovering the maximum of tube, already used, therefore reduces the cost of the project. Inspection and evaluation of corrosion defects are carried out in accordance with ASME/31G method that is applied to low alloyed carbon steels with corrosion defects having soft profiles with low stress concentration. Our research will consist in developing a method using a behavior-damage coupling of the material to highlight the weaknesses of the ASME / B31G method and show for defects whose depth does not exceed 10%, these defects can survive hydrostatic testing but will develop during service when the pressure is variable.
Parallel Computation of Gaussian Processes

Within the Bayesian framework we utilize Gaussian processes for parametric studies of long running computer codes. Since the simulations are expensive it is necessary to exploit the computational budget in the best possible manner. Employing the sum over variances – being indicators for the quality of the fit – as the utility function we established an optimized and automated sequential parameter selection procedure. However, often it is also desirable to utilize the parallel running capabilities of present computer technology and abandon the sequential parameter selection for a faster overall turn-around time (wall-clock time). The paper proposes to achieve this by marginalizing over the expected outcomes at optimized test points in order to set up a pool of starting values for batch execution.
Research on the influence of the five-axis ball-burnishing process regime parameters on the resulted cells properties from regularly shaped roughness

< p align="justify">The current study presents the results from the experimental research conducted on the influence of the regime parameters on the process for a five-dimensional Ball Burnishing (BB) finishing process with the help of a CNC milling machine on the Regular Reliefs (RR) obtained on complex functional surfaces. The elements of the technological system, necessary for the formation of RR of type IV on the complex surfaces, are presented. A planned factorial experiment is realized, through which the significantly affecting parameters of the BB process on the size and shape of the RR cells, are determined. The results obtained are statistically confirmed by a dispersion analysis (ANOVA) carried out. Conclusions, regarding the possibilities of obtaining RRs of type IV on complex surfaces through a process of five-axis simultaneous BB, are made.
Slope stability analysis: Barodesy vs linear elastic – perfectly plastic models

The results of slope stability analysis are not unique. Different factors of safety are obtained investigating the same slope. The differences result from different constitutive models including different failure surfaces. In this contribution, different strength reduction techniques for two different constitutive models (linear elastic - perfectly plastic model using a Mohr-Coulomb failure criterion and barodesy) have been investigated on slope stability calculations for two different slope inclinations. The parameters for Mohr – Coulomb are calibrated on peak states of element tests simulated with barodesy for different void ratios. For both slopes the predictions of the factors of safety are higher with barodesy than with Mohr-Coulomb. The difference is to some extend explained by the different shapes of failure surfaces and thus different values for peak strength under plane strain conditions. The plane strain predictions of Mohr-Coulomb are conservative compared to barodesy, where the failure surface coincides with Matsuoka-Nakai.
Investigating the biophysical properties of ageing of collagenous tissue at the nanoscale

Collagen is the most abundant protein in the human body and there are a number of changes that occur to collagen as we age, the main being the accumulation of adventitious advanced glycation end products (AGEs). These can be in the form of covalent cross-links forming between residues within neighbouring collagen molecules. Glucosepane is the most common AGE cross-link found in collagenous tissue and like other AGEs, its impact on the collagen matrix at the nanoscale is not fully understood. This thesis investigates the biophysical properties of collagenous tissue as a function of ageing due to AGE accumulation, in particular Glucosepane. The study identifies nanoscale markers of ageing (morphological and mechanical) and assesses the presence of these markers in various human tissues. The study takes an in-vitro approach to develop glycated tissue models, mimicking the ageing of tissue in the lab. Ex-vivo collagenous tissue samples from donors spanning a variety of ages are also assessed to identify the presence of the markers discovered. The study identifies unique features of the properties of collagen at the nanoscale spurred by age and accumulation of AGEs, including changes in collagen fibrillar structure as well as fibrillar mechanical properties. This thesis proposes a novel collagen-water interaction mechanism which has significant effects on the biophysical properties of collagen as AGEs accumulate.
Online Burst Events Detection Oriented Real-Time Microblog Message Stream

: The rapid spread of microblog messages and sensitivity of unexpected events make microblog become the public opinion center of burst events. Online burst events detection oriented real-time microblog message stream has become an important research problem in the field of microblog public opinion. Because of the large amount of realtime microblog message stream and irregular language of microblog message, it is important to process real-time microblog message stream and detect burst events accurately. In this paper, an online burst events detection framework is proposed. In this framework, abnormal messages are detected based on sliding time window and two-level hash table. Combined with event features, an online incremental clustering algorithm is used to cluster abnormal messages and detect burst events. Experimental results in the real-time microblog message stream environment show that our framework can be used in online burst events detection and has higher accuracy compared with other approaches.
Gesture track recognition based on Kinect depth image information and its applications

In order to realize the gesture track recognition based on the depth image information got by the Kinect sensor,this paper presented a new method.First,it used Kinect sensor to obtain depth image information.Then it obtained the position of palm through OpenNI hand analysis module,and extracted trajectory feature.Finally,it adopted Hidden Markov model(HMM)trained effective track sample and achieved track recognition.Experiments results show that the presented method can effectively identify the gesture track,and apply to control intelligent wheelchair.
Synthesis and characterization of transition metal doped ZnSe/ZnS nanocrystals by a rapid photochemical method

In the present work, a one pot, rapid and room temperature photochemical Synthesis of transition metal (TM; Cu, Mn, Cr)-doped ZnSe/ZnS core/shell nanocrystals (NCs) was reported. FT-IR spectrum confirmed the capping of ZnSe by thioglycolic acid. XRD and TEM analysis demonstrated zinc blende phase NCs with an average size of around 3 and 5 nm for TM:ZnSe and TM:ZnSe/ZnS NCs, respectively. PL spectra of ZnSe NCs showed a broad emission with two peaks located at 380 and 490 nm related to exitonic and trap states emission, respectively. For ZnSe:Cu NCs, exitonic emission disappeared completely and PL intensity of trap states emission increased. For ZnSe:Mn and ZnSe:Cr NCs, the exitonic emission decreased gradually with the increase in the impurity concentration whereas trap state emission increased. Moreover a peak about 580 nm was appeared from 4T1-6A1 transition of the Mn impurity. ZnS Shell increased photoluminescence and stability of all of TM-doped ZnSe NCs.
Risks in the post-implementation phase of enterprise system implementations:qualitative, inductive, multiple case study research

Disclaimer This document contains a student thesis (bachelor's or master's), as authored by a student at Eindhoven University of Technology. Student theses are made available in the TU/e repository upon obtaining the required degree. The grade received is not published on the document as presented in the repository. The required complexity or quality of research of student theses may vary by program, and the required minimum study period may vary in duration.
Air Turbulence Mitigation Techniques for Long-Range Terrestrial Surveillance

Abstract Atmospheric turbulence severely reduces the effective range of the visual surveillance due to geometric deformation and contrast degradation. This paper for the first time puts together various methodologies used for mitigating the air turbulence and the challenges associated with them. Historically, atmospheric turbulence was studied for astronomical observations and remote sensing; quite recently, it is revisited for long-range terrestrial (horizontal) surveillance (LRTS). LRTS has a diverse range of applications such as border security, long-distance photography, identification, detection of distant objects, etc. Atmospheric turbulence mitigation is a non-trivial problem due to spatial and temporal fluctuations in the air refractive index. The existing approaches for air turbulence mitigation are lucky imaging, adaptive optics, averaging, deblurring, and image registration-based methods. In long-range imaging systems, image registration-based turbulence mitigation techniques are the most popular, but these methods distort the independent motion existing in the scene. In the recent past, few approaches have been introduced to reduce the effect of air turbulence while preserving the object motion. Usually video stabilization techniques yield blurring of output frames, so deblurring and post-processing are necessary steps for better visualization.