Miracle-dz/UniFAR-FTUs huggingface dataset:
Identification of Bones in the Pelvic CT Scan Images using YOLO Model

The article centers around using the You Only Look Once (YOLO) neural network during the time spent individual bones acknowledgment, in the arrangement of CT cuts of the human pelvic zone. The network was prepared on custom information, and afterward, it was utilized to recognize bone structures in comparative yet unique CT information. The exactness of the identification was examined. In the last advance, the bounding boxes of distinguished districts, made by the YOLO calculation, were utilized to situate bones' admired models concerning CT information.
Quality Analysis of Printed Circuit Board Track and Soldering

Bare Printed Circuit Board (PCB) is a circuit composed with non-placement of electronic components. Quality checking plays an important role in the manufacturing industry. In order to help the small scale industry, students and researchers to identify the defects, this paper presents an efficient algorithm for an automated visual PCB inspection system that will automatically detect any defect on PCBs. The defects are been detected by image subtraction algorithm. This algorithm utilizes a template and a defective image of a bare PCB with same size variations and orientations. There are several defects presented in a PCB. Defects like missing hole, open circuit, short circuit is been identified using the automated PCB inspection system.
Effect of Process Parameters and Thermal Annealing on Mechanical Properties of Fused Filament Fabricated Specimens

Fused filament fabrication (FFF) is the most popular additive manufacturing technique to produce three-dimensional complex structures. It is a layer by layer additive manufacturing technique in which parts are created by the addition of one layer over another by using melted thermoplastic polymers. Fused filament fabricated parts have broad applications in automotive, medical, art and adornments fields, etc. The mechanical and thermal properties of FFF printed parts mainly depends on process parameters like infill pattern, layer thickness, infill speed, Nozzle temperature, infill density. The only way to improve the mechanical and surface properties of a part after printing is to make use of the post-processing techniques. Thermal annealing is one of the best post-process treatment for fused filament fabricated parts to improve mechanical properties. The objective of this paper is to provide an overview of the effect of different process parameters on the mechanical properties of fused filament fabricated parts and also investigate the influence of thermal annealing on the mechanical properties of printed parts. Mechanical properties of printed parts are analyzed by conducting different mechanical tests like tensile strength, compressive strength, and impact strength tests, etc. These mechanical tests are conducted on the standard specimens of ASTM or ISO standards. Thermal annealing should be possible by heating the printed part in a temperature range between the glass change temperature (Tg) and the melting point temperature (Tm) of the material used. It is found that the mechanical properties like tensile strength, compressive strength, and impact strength, etc. depend more on the process parameters like infill density, layer thickness, nozzle temperature, etc. It is observed that thermal annealing caused an improvement in flexural strength and tensile strength of fused filament fabricated parts. The tensile test for high tensile PLA showed that the maximum tensile strength furthermore, modulus for the non-heat-treated examples was acquired 65.75 MPa and 4.9 GPa individually, at 250°C. The tensile test results for heat-treated examples exhibited that the maximum tensile strength and modulus were gained 67.4 MPa and 5.65 GPa, separately, at 250°C.
First Principles Study of the Interfaces Between Tungsten and Transition Metal Carbides: Structures, Energetic and Light Elements Trapping

The fundamental understanding of the structure and energetic properties of interfaces is crucial in materials design and lifetime predictions. In this work, we have performed systematic first-principles calculations to study the stability of the interfaces between tungsten (W) and transition metal carbides (TMC=ZrC, TiC, TaC, HfC, MoC and VC) and predict the trapping of light element impurities (H, He, Li, Be, B, C, N, O, S and P). For all the systems, the coherent W(100)-TMC(100) interfaces have a better stability with lower interface energies than the semi-coherent W(110)-TMC(100) ones. The electronic structure analysis show a strong covalent bonding between the interfacial W and C atoms. The interface and the C vacancy both behave as strong traps to H, He and other light elements, and the interface cohesion is strongly decreased in the presence of impurities. The detrapping energies for H and He at the interface are about 1.14 eV and 2.26 eV, respectively. However, the migration energy barrier of H and He along the interface is less than 0.35 eV, implying that the interface could act as a rapid diffusion path for H and He once they are trapped. The present results provide a consistent explanation for recent experimental phenomena of the interface structure and the H isotope retention in W-ZrC, W-TiC and W-TaC materials under irradiation and further recommend that a multi-scale interface structure may be a good choice for future W-based materials to synergistically enhance the overall performance as plasma facing materials.
Vase Life Quality Improvement of White Snowball Using Vase Life Extending Solutions

An experiment was conducted at the Department of Horticulture, Sher-e-Bangla Agricultural University, Dhaka, Bangladesh, during December 2012 to January 2013 following Completely Randomized Design with three replications to extend the vase life of cut white snowball chrysanthemum. Five treatments were exerted in experiment, i.e., tap water (Control, C0); distilled water (C1); 100-ppm sucrose solution (C2); 100-ppm Lemon juice solution (C3) and 100-ppm Sucrose + Lemon juice solution (C4). 100-ppm of sucrose + lemon juice solution (C4) provided fresh weight loss (7.0 g), days taken for first petal fall (5.0 days), days taken for petal discoloration (8.7 days) and longevity (13.0 days) whereas maximum flower head diameter (92.2 mm) was found in 100-ppm lemon juice solution (C3) which was statistically similar with C4 (90.8 mm).
When Less is More: Information and the Financing of Innovation

This paper examines the impact of informational frictions when the entrepreneur anticipates having little or no bargaining power in negotiating with the financier and can select ex ante the innovation/venture he wants to develop. In this environment the entrepreneur faces a tradeoff between selecting an innovation that creates high value but one which only allows him to capture little or none of that value; or selecting a "pet-project" innovation that creates lower value but yields private benefits to him. In the baseline scenario, without contractual frictions, the financier is able to elicit first-best entrepreneurial effort, but cannot commit not to extracts all innovation rents from the entrepreneur, leading him to select his favored but inefficient innovation the first place. The key insight of the model is that the introduction of informational frictions like non-verifiability of effort or talent information asymmetry, while leading to reductions in effort (for a given innovation choice), do lead to more efficient (i.e. higher value) innovation choices ex ante, and indeed could generate superior payoffs for the entrepreneur and the financier, as well as a greater expected total surplus from innovation. This yields several empirical implications, not least of which the potential motivation for financiers to commit to "opacity of information" when the resulting improvements in innovation selection dominate the impact of effort reduction.
B-Site Disorder and Spin States Driven Multiple-Magnetic Phases: Griffiths Phase, Re-Entrant Cluster Glass and Exchange Bias in Pr 2CoFeO 6

The magnetic spin ordering and the magnetization dynamics of a double perovskite Pr<sub>2</sub>CoFeO<sub>6</sub> have been investigated by employing the (dc and ac) magnetization, neutron powder diffraction (NPD) and X-ray magnetic circular dichroism (XMCD) techniques. Structural study revealed that Pr2CoFeO6 adopts a B-site disordered orthorhombic structure (Pnma). Furthermore, ab initio band structure calculations suggested an insulating anti-ferromagnetic ground state. Magnetization measurements revealed the system to possess a spectrum of competing magnetic phases viz., long range antiferromagnetic (canted) spin ordering (TN ~269 K), Griffiths phase, re-entrant cluster glass (RCG) (TG ~34 K) and exchange bias effects. The Neutron diffraction divulged the exhibition of a long range canted G-type spin ordering by Fe spins. Moreover, the electronic structure probed by the X-ray absorption spectroscopy (XAS) study suggested a nominal valance state of +3 for both the B-site ions (Co/Fe). The random non-magnetic dilution of magnetic Fe<sup>3+</sup> (HS) ions by Co<sup>3+</sup> (LS) ions due to B-site disorder essentially played a crucial role in manifesting the magnetic properties of the system.
Progress in Face Recognition Over Evolutionary Deep-Indicators Algorithm

We propose new approach for facial recognition based on an Evolutionary Deep-indicators Algorithm. The main purpose of this strategy is to reach a model which can compete with human vision sensibility. This optimized model revolves around a facial chromosome that benefits from all paradigms in the same area ; such as Gaussian model, Deep learning, Eigen vector, Evolutionary mechanism. The intelligent model will be then implemented on Jetson TK1 to check its speed in response time compared to a regular CPU. This powerful tool is a NVIDIA's embedded Linux development platform featuring a Tegra K1 system on chip SOC which contains a central processor unit CPU, a graphic processor unit GPU and an image signal processor ISP in single chip. Our work is experimented using AT&amp;T Face database seen its popularity across the international community and it provides very significant results, reaching 97.5%, compared to existing models with real time systems RTS tendencies.
Model Predictive Control of DC-DC Buck Converter and Its Comparison With Pid Controller

In this paper the Model predictive control (MPC) of DC-DC buck converter is simulated and its performance is compared with classical Proportional, Integral and Derivative (PID) controller. The state space averaging model of DC-DC buck converter is used to design the MCP controller, the objective function is formulated to incorporate constraints of control input to DC-DC converter. The comparison of controller performance is carried out by simulating the controller response in Matlab/Simulink for different inputs.
Faulty Node Recovery and Replacement Algorithm for Wireless Sensor Network

This paper proposes an algorithm by combining grade diffusion and genetic algorithm to enhance the lifetime of a wireless sensor network. The algorithm is named as Fault Node Recovery and Replacement algorithm. The algorithm enhances the lifetime of the wireless sensor network with fewer replacements of sensor nodes. In the simulation it is shown that the proposed algorithm increases the number of active node, reduces the rate of data loss, increases the life time of the wireless sensor network and reduces the rate of energy consumption.
Effects of Implantation Temperature and Annealing on the Microstructural Evolution of Hydrogen- and Helium-Implanted 6h-Sic

The influence of the irradiation temperature (from room temperature (RT) up to 900°C) and subsequent annealing (400 to 1500°C) on the microstructure of hydrogen and helium implanted 6H-SiC was studied by Rutherford backscattering/channeling (RBS/C), X-ray diffraction (XRD), and transmission electron microscopy (TEM). The behavior of implanted hydrogen and helium ions in the 6H-SiC lattice was rather different. In the case of hydrogen implanted with low fluence at RT, blisters were formed after annealing at 1100°C, while at high implantation fluence no blister cavities were observed due to the formation of an amorphous layer. At an implantation temperature of 900°C amorphisation of 6H-SiC did not occur and hydrogen-containing microcracks grew laterally below the surface. Thus blisters appeared on the surface even without annealing, as a result of the vertical stress exerted by pressurized microcracks. For helium implantation, regardless of the fluence and implantation temperature, blisters did not form. For implantation temperatures below 750°C, helium was trapped in bubbles which increased in size after annealing (especially bubbles located around the He concentration peak). On the other hand, for an implantation temperature of 750°C, helium was trapped in platelets (even for medium fluence), which evolved into bubble clusters during annealing. The presented results are well supported by density functional theory (DFT) simulations describing the migration of hydrogen and helium atoms in the 6H-SiC crystal lattice.
Polarity Based SVM Techniques for Analyzing Movie Review

Nowadays the Internet is used as an enormous source repository of information and it is accessible for everyone. This information is generated day-to-day by information sharing among the users. Customers or the users need this information for making their purchasing decision according to the reviews of other customers. As everyone wants to know the opinions from others that is why there is need of a system which can directly give the final opinions from this large collection of user reviews. The sentiment analysis is found to be very useful in various application areas like in news sector, healthcare industry, apparel industry, political elections, movie reviews and product review. The analysis of movie reviews has been emerged as a prominent area of research in this field. The proposed work applied a polarity feature based SVM technique to enhance the accuracy of the prediction of correct movie
Spring Pendulum: A Nonlinear Paradigm

Spring or elastic pendulum serves as a paradigm for the widest range of systems or phenomena. To obtain a better insight, this author has used Newtonian instead of the Lagrangian mechanics. Thus, a system of equations has been derived in the more suitable polar coordinates that describe a rather complex dynamics associated with an elastic pendulum. Numerical solutions have been obtained using MATLAB. This work reveals conditions for different types of resonances and a pattern of energy sharing between the two types of oscillations. The more direct approach adopted here lends itself for an easy adaptations of elastic pendulum as a model for other systems or phenomena.
Sparse flexible design: a machine learning approach

For a general production network, state-of-the-art methods for constructing sparse flexible designs are heuristic in nature, typically computing a proxy for the quality of unseen networks and using that estimate in a greedy manner to modify a current design. This paper develops two machine learning-based approaches to constructing sparse flexible designs that leverage a neural network to accurately and quickly predict the performance of large numbers of candidate designs. We demonstrate that our heuristics are competitive with existing approaches and produce high-quality solutions for both balanced and unbalanced networks. Finally, we introduce a novel application of process flexibility in healthcare operations to demonstrate the effectiveness of our approach in a large numerical case study. We study the flexibility of linear accelerators that deliver radiation to treat various types of cancer. We demonstrate how clinical constraints can be easily absorbed into the machine learning subroutine and how our sparse flexible treatment networks meet or beat the performance of those designed by state-of-the-art methods.
Sustainable Partial Cement and Water Replacement in Concrete Using PFA and Super Plasticiser

Cement is an important material used in the production of many concrete based building elements. Despite its importance, the production costs and unit price are high. Cement is also a potential hazardous material. This experimental study considered the effect of partially replacing cement content in concrete by 30% with Pulverised Fuel Ash (PFA) referred to as fly ash. The study further considered the effect of introducing 4% Superplasticiser (SP) to the OPC based concrete. Three different mix designs where formulated. The first one was based on Ordinary Portland Cement (OPC) as a control mix; the second mix was based on Ordinary Portland Cement mixed with PFA while the third one had Ordinary Portland Cement and Superplasticiser (SP). Results indicated that introducing 30% PFA to the OPC based mix reduced the concrete compressive strength at 28 days by an average of 27% for low water cement ration concrete. Adding superplasticiser to the OPC based concrete reduced the concrete compressive strength by 7%. The study concluded that replacing up to 30% of cement in concrete with PFA could reduce concrete production costs on a project while retaining the acceptable levels of concrete strength, density and workability. Adding superplasticiser showed that the water content can be significantly reduced with minimal effect on concrete strength and density. The superplasticiser showed significant effect on the concrete workability.
Phasor Solution of a Micro-Grid to Accelerate Simulation Speed

In this paper, phasor based modeling of small scale micro-grid to accelerate simulation speed. The models of battery, solar panels, pole mounted transformer, power grid, ordinary house, battery controller are included for modeling in the paper. Generated power is in DC form which is converted to single phase. Dependency of the micro-grid is not on grid’s power supply as there are two other sources to supply power to MG. Power supplied to the micro-grid by the PV panel and battery is sufficient to meet the requirement of the consumers connected to the micro-grid at all times.
Smart City Console

A Smart city is a place where people are provided all the basic requirements and facilities with the help of technological advancement in information technology. Automation of conventional processes is the basis of development in a smart city. The purpose of implementing these technologies is to reduce human fatigue, provide cleaner energy sources and enhance sustainability. The need of the hour in these modern cities is to provide safety and security on road, reduce traveling time and expenses, efficient space and resource management. &nbsp;In the coming years, most of the world’s population will shift to these modern cities. Without these smart cities, it will be difficult to serve the demands of people. The most optimal way to achieve this goal is to implement IoT and enhance its reliability. The IoT platform allows dynamic control of system devices by establishing a direct link between the internet and electronic devices, like microcontrollers and sensors. In this research, we have suggested four basic models, namely, traffic management system, smart parking system, waste management, street light system working on the principle of IoT. Together, these models can form a smart city by conserving energy resources, improving waste dismissal and better space utilization. The main motive behind implementing this project is to demonstrate few IoT based smart city models while doing in-depth research about their practical applications. <br>
Sentiment Analysis of Customer Feedback on Restaurant Reviews

Sentiment analysis is a huge volume increasing at a humongous rate everyday which has made it almost impossible to evaluate the data manually. In Social media, twitter, restaurant site people share their opinion as in a huge number of their prevalence. In order to make the process of analyzing the text automatic there are various machine learning techniques that could be applied. The data set is for those enthusiasts who are willing to play with text data and perform sentiment analysis or text classification. The huge quantity of data in textual is generated every day has no value unless processed. The text data problem can be resolute by a choose to take up data mining technique. By using classifier it helps to predict the text data using naïve bayes classifier. This data set consists of actual reviews from real people. So this data set will give a real time experience as to how to deal with textual data.
Design and Testing of Cooking Vessels of Solar Box Cooker for Evening Cooking

In the present work, an attempt has been made to design and test the performance of box type solar cooker with cooking pots of different materials filled with latent heat energy storage mediums to perform the cooking in sunshine and off sunshine conditions. The box type solar cookers are not common in use due to limited availability of solar energy. Latent heat energy storage materials are used to store solar energy available in day time to use in evening and off sunshine hours. Paraffin wax is used as energy storage material (PCM) to improve the performance of the system in off sunshine conditions. PCM filled aluminium pots are suitable for day time cooking. It is observed from full load test that the water temperature in PCM filled steel pots are maintained above 950C for more than 3 hours than PCM filled aluminium pots in off sunshine conditions. <br>
Effect of Sink Strength on Coherency Loss of Precipitates in Dilute Cu Base Alloys During in Situ Ion Irradiation

In situ irradiations with 1 MeV Kr ions at 50~613 K up to a fluence of 6.25 × 10<sup>14</sup> ions/cm<sup>2</sup> (~1.25 dpa) have been performed on pre-aged dilute Cu-0.9%Co, Cu-0.9%Fe and Cu-0.8%Cr alloys containing uniform matrix dispersions of coherent precipitates in order to study the effects of initial precipitate sink strength, damage dose and irradiation temperature on radiation-induced coherency loss of precipitates. Coherent precipitates with different sink strengths <i>(2πNd </i>, where <i>N</i> and <i>d</i> are the precipitate density and diameter) were used in this work to examine potential differences in atomic relaxation during absorption of point defects. At low sink strengths (~10<sup>13</sup> m<sup>-2</sup> ), loss of precipitate coherency could be induced for doses below ~0.1 dpa. There might be a preferential medium-range strain-induced bias for absorption of interstitial defects due to tensile strains at the undersized precipitates, which induces relatively rapid loss of coherency at low precipitate sink strengths. High sink strength (~10<sup>14</sup> m<sup>-2</sup> ) conditions were relatively resistant to the radiation-induced loss of coherency and this might be due to nearly equal numbers of interstitial and vacancy defects arriving at the precipitate interface for such high sink strength conditions. The precipitate coherency loss was observed to have a weak dependence on irradiation temperature. Molecular dynamics simulations confirm a strong effect of precipitate sink strength on the probability of interstitial absorption at precipitates.