Miracle-dz/UniFAR-FTUs huggingface dataset:
Risk-Based Framework for the Integration of RPAS in Non-Segregated Airspace

Remotely Piloted Aircraft Systems (RPAS) are new airspace users that require to be safely integrated into the non-segregated airspace. Currently, their integration is planned for the horizon 2025, but there is a lot of pressure by RPAS operators to fly as soon as possible. This research focuses on the development of a risk-based framework for the integration of RPAS in non-segregated airspace. The risk-based framework relies on a hierarchical methodology that is split into two time horizons: design and operation. Different operational and geometrical factors characterise each stage. Then, a set of risk and operational indicators are defined for each stage. These indicators evaluate the operational airspace state and provide information about how the integration of RPAS should be. Primary results provide information about geographical and temporary restrictions. Geographical restrictions refer to the airways that favour or inhibit the integration of RPAS, and temporary restrictions denote the time span when the RPAS can pierce into the airspace.
Performance Comparison of Block-DCT, Kekre’s Wavelet and Haar Transform using LZW and Huffman Encoding in Image Steganography

This paper proposes the use of various transforms for image steganography. It focuses on use of wavelet transform such as Kekre’s Wavelet and Haar transform to compress cover image and use of compression mechanisms such as LZW for secret image. Wavelet transform is generated from their respective orthogonal transform. Image Steganography is the art of hiding information into a co4ver image. A novel technique for image steganography using transforms such as Kekre’s wavelet transform and Haq3ar transform along with LZW is used to convert original image (cover image) from spatial domain to frequency domain. In the proposed methodology the secret message is encoded using LZW technique. Then encrypted image/message is embedded in the transformed carrier image. The experimental results show the comparative results between Huffman coding and LZW compression using Kekre’s Wavelet t4ransform, Haar transform and DCT. Moreover PSNR and RMSE between the cover image and stego image shows the better results in comparison with other existing steganography approaches. The perceptual difference between the stego image and original image is imperceptible to human eye. The results show an improvement over PSNR and MSE compared to the existing approach. Further high security is maintained since the secret message/image cannot be extracted without knowing decoding rules and Decoding table.
Secure Preserving Analytics for Cloud-Based Pervasive Healthcare Services in IOT

: Modern healthcare frameworks now depend on cutting edge computing techniques and advancements, for example, Internet of Things (IoT) gadgets and mists, to gather and investigate individual wellbeing information at a phenomenal scale and profundity. Patients, specialists, healthcare suppliers, and scientists rely upon diagnostic models got from such information sources to remotely screen patients, early-analyzed ailments, and find customized medicines and drugs. Be that as it may, without fitting privacy insurance, conducting information investigation turns into a wellspring of a privacy bad dream. In this article, we show the examination challenges in developing commonsense privacy-preserving investigation in healthcare information frameworks. The examination depends on kHealth—a customized advanced healthcare information framework that is being produced and tried for malady monitoring. We examine the information and explanatory necessities for the involved gatherings, recognize the privacy resources, investigate existing privacy substrates, and talk about the potential tradeoff among privacy, proficiency, and model quality.
HYPOXIC-ISCHEMIC ENCEPHALOPATHY IN ADULTS

A 42 year old woman has a witnessed collapse at a gym while exercising on a treadmill. Bystanders provide basic life support (BLS) and apply an automated external defibrillator (AED) which delivers two shocks. When emergency medical services (EMS) personnel arrive, the patient remains in cardiac arrest with persistent ventricular fibrillation. After 20 minutes of advanced cardiovascular life support (ACLS) including endotracheal intubation, further defibrillation attempts and intravenous drug therapy, the patient recovers spontaneous circulation but remains unresponsive and is transported to the nearest emergency department.
UNIFIED APPROACH TO FORMING FULLERENES AND NANOTUBES

Reactions of elementary fullerenes (from C4 to C12) with each other as well as with their heirs are considered. Under the elementary fullerenes we understand a tetrahedron, a cube, and triangular, pentagonal and hexagonal prisms. The process is similar to fusion of bubbles in a soap solution. The graphs describing the process are suggested. The reaction zone is a vertexconnected subgraph that takes into account physical restrictions, namely that covalent bonds exist only between nearest-neighbor atoms. We supposed that during the reactions new covalent bonds are formed and old covalent bonds between the reacting atoms are destroyed. The clusters obtained resemble both fullerenes and nanotubes.
A Review on Image InpaintingTechniques and Its analysis

changes in the image by the observer the image are not recognize. Here for automatic inpainting of digital image we introduce an algorithm, and used by existing restoration methods replicate the basic techniques. There play an important role by the image inpainting technology in computer graphics and has many applications such as old films renovation, object removal in digital photos, coding image and transmission. This method restores lost/selected parts of an image with the help of the background information in a visually possible way. So the use of image inpainting is to recover the original image as well as to create some image that has a close appearance with the original image .
Spectral filtering and laser diode injection for multi-qubit trapped ion gates

The 729 nm laser used to address the |4S1/2,mj = 12 〉 ↔ |3 D5/2,mj = 3 2 〉 quadrupole transition of 40 Ca which is used to define a qubit has undesirable spectral components at ≈ ±1.5 MHz of the center frequency due to the stabilization system. In order to remove those components, the light was filtered using a high-finesse cavity. 50μW of light were transmitted through the cavity, which were subsequently amplified to 45 mW by injecting a laser diode. A phase lock to a second laser was set up to allow work around the high finesse cavity. The injection characteristics of two different diodes were investigated and the spectrum of the amplified light was measured using the ion as reference. The temperature dependence of the transmission lines of the cavity were determined. A scheme for cancelling noise introduced by optical fibers is described.
The Greenland halibut of Cumberland Sound: Trends in catch rates and preferences in diet

Inaccessibility and harsh conditions of the Arctic frequently limit research on local fish and ecosystems. Cumberland Sound on southern Baffin Island houses a remote, winter fishery for Greenland halibut (Reinhardtius hippoglossoides) and presented a unique site for evaluating Arctic fish stock trends and feeding behavior from limited data. Relative abundance through time, 1987-2003, of the Greenland halibut stock was modeled hierarchically from catch per unit effort (CPUE) data with multiple fixed effects and location and fisherman as random effects. Month and the North Atlantic Oscillation were important predictors of CPUE. Additionally, fisherman behavior influenced CPUE, breaking the assumption that CPUE is proportionate to fish abundance. A second study using stable isotopes found pelagic feeding of the Greenland halibut and a dietary preference for capelin, consistent with studies in other systems. The combination of these studies is the first incorporation of fishery and ecological information to assess Cumberland Sound Greenland halibut.
Cell-Free Synthesis Optimization of Barley Vacuolar Na/H-Antiporter, a Highly Hydrophobic Protein

Membrane proteins (MPs) play a fundamental role in living cells as receptors, ion channels, carriers and adhesion molecules. In contrast to soluble proteins, MPs frequently aggregate in aqueous systems and are prone to incomplete synthesis. In this work we have optimized conditions for synthesis of full-length hydrophobic protein – barley vacuolar Na/H-antiporter (HvNHX2), in a cell-free translation system based on wheat germ extract. To achieve the full-length HvNHX2 synthesis we have tested different modifications of the cell-free translation system, such as the addition of different detergents and hydrophobic L-amino acids. Addition into the translation system of the amino acids valine (23.5 mM) and isoleucine (15 mM) significantly improved synthesis of full-length protein. We also investigated the influence of 5'-untranslated region (5'UTR) of Potato virus Y (PVY) genomic (g)RNA on cell-free translation of HvNHX2-open reading frame. The 5'UTR of PVY gRNA enhanced the translation efficiency of uncapped HvNHX2 mRNA 4 times more than control mRNA which possessed an arbitrary polylinker-derived 5'UTR. _____________________________________________________________________________________________________________
EOQ model for deteriorating items with time-varying demand and partial backlogging

In this project work, we develop an EOQ model for deteriorating items with timevarying demand. In the model, shortages are allowed and partially backlogged. The backlogging rate is variable and dependent on the waiting time for the next replenishment. Analytical results show that the optimal re-order time of the proposed model is unique and is independent of the form of the demand rate. Results are illustrated with the help of numerical examples. Computational results show that a decrease in the backlogging parameter causes the lower average total cost per unit time. Sensitivity of the solution to changes in the value of input parameters of the base example is also carried out.
Masters Thesis: Hierarchical MPC for Energy Management of Multi-Energy Systems

All over Europe, the expansion of renewable energy sources is quickly proceeding, fueled by environmental and political motives. The power generated by renewables is heavily subject to the intermittency of the source, e.g. the availability of wind or solar irradiance. Consequently, electrical grids that rely on renewable sources alternate between periods of excess power availability and periods with lack of power production. Excess power is often curtailed or exported, whereas the shortage of power production must be imported or produced through the deployment of more expensive production units. Power-to-X strategies aim to utilise the excess power from renewables more effectively, by converting power to another energy carrier within the grid, e.g. heat or hydrogen. By allowing the transition of power to another energy carrier, the system is transformed into a so-called multi-energy system. Therefore, the system takes into account the multiple energy carrier’s system characteristics and loads in an integrated way. This formulation allows for optimal scheduling of energy flows in the system while taking into account characteristics of each energy carrier, e.g., storage characteristics, time-varying costs or production emissions. The main focus of this thesis to deal with the tasks of an energy management system for the aforementioned system using Model Predictive Control. The Model Predictive Control framework allows real-time optimal scheduling while incorporating data-driven forecasts of future loads and generation in the grid. Due to the stochastic nature of these forecasts, this thesis also looks into extensions of Model Predictive Control that can cope with uncertainties. Furthermore, to handle the different timescales of the grid dynamics, Model Predictive Control for multi-timescale systems is investigated. In particular, the performance of a Heuristic Model Predictive Control scheme and a Hierarchical Model Predictive Control scheme on the control of a simulated Power-to-X based energy system are compared. The simulation is based on a conceptual Power-to-X system based on historical data of the Dutch energy sector. Based on this case study, a statement is made about the suitability of the Power-to-X principles to future Dutch sustainable neighbourhoods. Moreover, a statement regarding the economic viability of the presented concept is made based on the simulations. Master of Science Thesis Oğuzhan Kaya
A COMPRESSIVE STUDY ON LINE BALANCING AND SIMULATION OF AN AUTOMATED PRODUCTION TRANSFER LINE

This paper presents an investigation on the line equalization of an automatic cylinder block production transfer line so as to reduce the whole cycle time associate degreed increase machine utilization in an automotive plant. Results were verified by model, that showed increased outturn and better machine utilization as a results of line balancing. Design/methodology/approach – 3 main operation lines of the transfer line were known as important and having the very best cycle time and were chosen for optimisation study. methods of re-sequencing of existing operations and tools were wont to reduce the cycle time of those important operations and to balance the line. Results of a simulation study using Simul8 software are conferred to demonstrate the rise in machine utilization and outturn as a results of line equalization. Findings – owing to line balancing, the cycle time of cylinder block line was reduced from 293.9 to 200 s, an virtually thirty two per cent reduction. This conjointly resulted in increased throughput and machine utilization. outturn was increased by sixty five per cent. Machine utilization was found to extend in any respect stations, with the very best increase at one station was recorded from forty eight to ninety five per cent thanks to equalization. Originality/value – Introduces a brand new application to line equalization of automotive engine block line. Demonstrates that effective methods of re-sequencing and ever-changing of tools will result in a lot of balanced line with increased outturn and better machining utilization, leading to higher productivity.
Identification of Communities from Social Networks

—A social network is a social structure of people, related (directly or indirectly) to each other through a common relation or interest. Social network analysis (SNA) is the study of social networks to understand their structure and behavior. For studying structural and behavioral properties of these networks, communities are identified by grouping of individuals according to given context into subgroups. Community detection is very rich domain in social network analysis as it is useful in various domains like business, marketing, healthcare etc. Data analytic techniques such as data mining and predictive modeling are being used to gain new insights into social network analysis (SNA). This has the unique ability to play a new role in exploring the context and situations that lead to efficient and effective predictions. Identifying these social communities can bring benefit to understanding and predicting user’s behaviors. This paper is an attempt to study the various approaches for community detection (CD), application area of CD and evaluation of CD algorithm. It also presents the emerging and ongoing research towards improvement in existing CD algorithms in the area of social network analysis.
Inter- and Intra-specific Interactions in Germination and Seedling Establishment of Cheatgrass and Russian Wildrye

Cheatgrass (Bromus tectorum) is an invasive species in the arid and semi-arid west of the USA, and is weedy in disturbed prairie landscapes. Perennial Russian wildrye (Psathyrostachys juncea) limits population growth of cheatgrass, but the mechanism is unclear. I conducted glasshouse and greenhouse experiments to test if intraand inter-specific competitive interactions of seeds and seedlings of cheatgrass and Russian wildrye were different across a geographic soil gradient with different cultivation legacies in eastern Montana, USA. Seed-seed interactions occurred in both species. Cheatgrass and Russian wildrye inhibited one another’s emergence in one edaphic condition in one experiment. Cheatgrass growth was less inhibited by Russian wildrye than by intraspecific neighbors. It appeared that cheatgrass was more sensitive to environmental conditions such as edaphic conditions and intraspecific competition than Russian wildrye. Understanding how environmental conditions prevent cheatgrass emergence is a key aspect of controlling cheatgrass invasion.
Security In Inter Cloud Data Transfer

 Abstract — Cloud computing has quickly become one of the most Networking software in the IT world due to its revolutionary model of computing as a utility. It promises increased flexibility, scalability, and reliability, while promising decreased operational and support costs. Cloud computing largely intended to deliver on-demand services. Cloud providers are able to offer customers the ability to change their levels of service in many ways without waiting for physical changes to occur. A major concern in the Cloud is security; some agree that the Cloud is a secure and trusted system, while others seem to think differently. This work aims to promote the use of multi-clouds due to its ability to reduce security risks that affect the cloud computing user.
International Scientific Colloquium

A spallation reaction is used in various branches – material investigation, medicine and fundamental research. In powerful installations of this kind, a large amount of heat is generated, consequently, the heat removal from the active zone is one of most important factors in optimizing a liquid metal target design. This work presents PIV (Particle Image Velocimetry) measurements, which were carried out in a specially designed test section with water as a working fluid. Obtained data ensure reliable experimental validation of numerical calculations performed by RANS (Raynolds Averaged Navier Stokes) and LES (Large Eddy Simulation) approaches. Experimental results show zones of extensive turbulence energy generation, which is in good agreement with theoretical concept. Numerical RANS results show imperfections of the widely used turbulence models, while numerical LES results describe thoroughly investigated processes.
Prophylactic noninvasive positive pressure ventilation in the weaning of difficult-weaning tracheotomy patients

Background Prophylactic noninvasive positive pressure ventilation (NPPV) reduces reintubation in endotracheal intubation patients. However, the efficacy of using the prophylactic NPPV in the weaning of tracheotomy patients is unclear. Methods We performed prophylactic NPPV in 11 tracheotomy patients who passed a spontaneous breathing trial (SBT), removed the tracheotomy tube, and closed the incision (intervention group). We matched another 11 tracheotomy patients who also passed an SBT but weaning and removing of tracheotomy tube were managed as conventional methods (control group). Results Patients in the control group had reinstitution of mechanical ventilation 36 times after the initial SBT success. Compared with the control group, the interventional group had fewer weaning days (3.0±2.1 vs. 11.3±9.2, P=0.01) from initial SBT success to successful weaning and shorter intensive care unit (ICU) length of stay (11.6±4.2 vs. 20.3±11.6, P=0.03) after initial SBT success. The interventional group had lower nosocomial pneumonia rates after initial SBT success (0/11 vs. 2/11), lower ICU mortality (0/11 vs. 2/11), lower hospital mortality (0/11 vs. 3/11), and higher successful weaning rate (11/11 vs. 8/11), but it didn’t reach significant difference. Also, there was no significant difference between groups in total duration of ventilation (25.5±13.3 vs. 34.7±24.2 days), hospital stay after initial SBT success (24.0±22.3 vs. 37.4±31.3 days), total ICU stay (35.7±15.3 vs. 45.0±29.5 days), and total hospital stay (48.7±33.1 vs. 68.6±52.6 days). Conclusions Prophylactic NPPV may be useful to accelerate weaning, and shorten ICU stay after initial SBT success in tracheotomy patients.
DEEP LEARNING APPROACHES FOR BRAIN ABNORMALITIES DETECTION ON MAGNETIC RESONANCE IMAGING: A REVIEW

: In recent days, Magnetic Resonance Imaging (MRI) has played a major role in the field of medical imaging. Segmentation of MRI datasets helps in brain abnormalities detection by improved understanding, predicting the growth rate and enhanced treatment planning. Manual segmentation is identified to be more time consuming and sometimes the results are inaccurate. Automating the above task lies the real challenge owing to the problem of intensity inhomogeneity that occurs in the MRI dataset. Deep learning has been already excelling in wide ranged fields like text processing, Image Segmentation, Speech recognition, drug discovery, toxicology and various other fields. Deep learning for medical image analysis helps to integrate various ideas through their convolutional and fully connected networks. In this study we discuss about brain tumor which has its mortality level increasing at an alarming rate. In our proposal various brain tumor prediction and segmentation techniques are discussed and the best approach is compared for overall performance using various deep learning approaches.
Study of Total Ozone Column Content and its association with Sunspot Number and Total Rainfall over two close tropical Indian stations during1981

Present paper is based on analysis of the variation of Total Ozone Column content (TOC) with sunspot number and total rainfall during different seasons over the two neighbouring Indian tropical stations (Udaipur and Banswara) for the period 1981. A negative correlation is observed between TOC and sunspot number over both stations during monsoon period and positive correlation is observed during pre monsoon and post monsoon period. It is also observed that amount of TOC start decreasing in monsoon period, became minimum in post monsoon period and maximum in pre monsoon period. The value of TOC for Banswara is found to be lower in comparison to Udaipur during pre and post monsoon season, whereas reverse value is obtain in monsoon period, specially in this year. Index Terms TOC, Sunspot number, Rainfall. ________________________________________________________________________________________________________
STATISTICAL TREATMENT OF FREE SORTING DATA: A BRIEF REVIEW OF METHODS AND A NEW ASSOCIATION MODEL

Several statistical procedures, mainly pertaining to multidimensional scaling, multiple correspondence analysis and cluster analysis, have been proposed for the analysis of data from a free sorting procedure. A brief review of these methods is sketched and a statistical model to assess the association between products is discussed. Among other possibilities, these models make it possible to set up a hypothesis testing framework to assess the significance of the effect of external factors on free sorting data. It is also performed in conjunction with a latent class strategy to identify segments of consumers and better highlight the relationships among the products. An illustration on the basis of a case study is outlined.