Ultrafast Thermal Plasma Preparation of Solid Si Films with Potential Application in Photovoltaic Cells: A Parametric Study

An innovative method, namely ultrafast plasma surface melting, is developed to fabricate solid films of silicon with very high rates (150 cm²/min). The method is composed of preparing a suspension of solid particles in a volatile solvent and spreading it on a refractory substrate such as Mo. After solvent evaporation, the resulting porous layer is exposed to the flame tale of inductively coupled RF plasma to sinter and melt the surface particles and to prepare a solid film of silicon. It is shown that by controlling the flow dynamics and heat transfer around the substrate, and managing the kinetic parameters (i.e., exposure time, substrate transport speed, and reaction kinetics) in the reactor, we can produce solid crystalline Si films with the potential applications in photovoltaic cells industry. The results indicate that the optimum formation conditions with a film thickness of 250-700 μm is when the exposure time in the plasma is in the range of 5-12.5 s for a 100 × 50 mm large layer. By combining the Fourier’s law of conduction with the experimental measurements, we obtained an effective heat diffusivity and developed a model to obtain heat diffusion in the porous layer exposed to the plasma. The model further predicts the minimum and maximum exposure time for the substrate in the plasma flame as a function of material properties, the porous layer thickness and of the imposed heat flux.     

Predictive autonomic transmission for low-cost low-margin metro optical networks

Photonic Network Communications - Low-cost low-margin implementation plays an essential role in upgrading optical metro networks required for future 5G ecosystem. In this regard, low-resolution...     

Scenario-based quasi-static task mapping and scheduling for temperature-efficient MPSoC design under process variation

Nowadays, employing the worst case analysis is the most common approach to provide unified static task mapping–scheduling plans on MPSoCs. Since the whole design space nor a subset of design space are not explored in the worst case methods, these approaches may fail to achieve efficient performance yield. In this paper, we present a temperature-aware quasi-static task mapping–scheduling framework under process variation for hard real-time and periodic systems on MPSoCs. By employing the stochastic optimization and scenario-based approaches, we explore a few representative scenarios in the whole design space of the chip using the probability density function of the problem random variables. Then, we obtain a compact set of near optimal mapping–scheduling of real-time tasks which targets performance-yield maximization and minimization of the expected values of peak temperature. Consequently, considering different chip parameter configurations, we construct the plan set as the solutions that attain the best variation-aware task mapping–scheduling that satisfy the deadline and minimize the temperature. This plan set can readily look up at run time by the system scheduler of the chip to find the proper plan of the tasks based on the run-time parameters. The experimental results demonstrate significant improvements in performance-yield and peak temperature for almost all of the test cases off homogenous and heterogeneous MPSoCs.     

An Experimental Study of Nozzle Temperature and Heat Treatment (Annealing) Effects on Mechanical Properties of High-Temperature Polylactic Acid in Fused Deposition Modeling

Fused deposition modeling (FDM) is the trendiest three-dimensional (3D) printing method among additive manufacturing technologies. In this process, the final parts are constructed through layer-by-layer adhesion of thermoplastic polymers. Amorphous thermoplastic polymers have better printability compared to semicrystalline ones; so, they are most popular with FDM users. Generally, the overall mechanical properties of FDM 3D printed parts are weaker in comparison to the traditional methods (such as injection molding) due to the weak bonds between the deposited rasters and layers. Therefore, the introduction of new materials with higher mechanical properties and easy printing process of the semicrystalline polymers has always been challenging to progress the mechanical properties of the products. In this study by the FDM process, the effect of nozzle temperature and heat treatment (annealing) on the mechanical properties of high-temperature polylactic acids is investigated. The increase in the nozzle temperature develops the rasters and layers bonding, and the heat treatment of the parts after printing rises the crystallinity percentage, which is crucial for the improvement of mechanical properties. Experimental results show that an increase in the nozzle temperature raises the tensile strength and modulus to 65.7 MPa and 4.97 GPa, respectively. Furthermore, the heat treatment process increases the tensile strength and modulus up to 67.4 MPa and 5.65 GPa. The final tensile modulus values are the highest ones reported for pure materials printed by the FDM process. POLYM. ENG. SCI., 60:979–987, 2020. © 2020 Society of Plastics Engineers     

Text Classification for Azerbaijani Language Using Machine Learning

Text classification systems will help to solve the text clustering problem in the Azerbaijani language. There are some text-classification applications for foreign languages, but we tried to build a newly developed system to solve this problem for the Azerbaijani language. Firstly, we tried to find out potential practice areas. The system will be useful in a lot of areas. It will be mostly used in news feed categorization. News websites can automatically categorize news into classes such as sports, business, education, science, etc. The system is also used in sentiment analysis for product reviews. For example, the company shares a photo of a new product on Facebook and the company receives a thousand comments for new products. The systems classify comments like positive or negative. The system can also be applied in recommended systems, spam filtering, etc. Various machine learning techniques such as Naive Bayes, SVM, Multi-layer Perceptron have been devised to solve the text classification problem in Azerbaijani language.     

Mobile ad hoc network broadcasting: A multi‐criteria approach

Nodes in a computer network often require a copy of a message to be delivered to every node in the network. The network layer can provide such a service, referred to as network‐wide broadcast routing or simply ‘broadcasting’. Broadcasting has many applications, including its role as a service to many routing protocols. In a mobile ad hoc network (MANET), simplistic broadcast schemes (such as flooding) inundate the network with redundancy, contention, collision, and unnecessary use of energy resources. This can prevent broadcasts from achieving their primary objective of maximizing delivery ratio, while also considering secondary objectives, such as balancing energy resources or reducing the network's burden on congested or busy nodes. As a solution, we propose multiple‐criteria broadcasting (MCB). In MCB, the source of each broadcast specifies the importance assigned to broadcast objectives. Network nodes use these priorities, along with local and neighbor knowledge of distributed factors, to broadcast in accordance with the objective priorities attributed to the message. Using ns2, the performance of MCB is evaluated and compared to that of other broadcast protocols. To present knowledge, MCB constitutes the first reconfigurable, multi‐objective approach to broadcasting. Copyright © 2010 John Wiley & Sons, Ltd.     

An overview of the emerging warm mix asphalt technology

The asphalt industry is constantly attempting to reduce its emissions as concerns are growing on global warming. This is done by decreasing the mixing and compaction temperatures of asphalt mixtures without affecting the properties of the mix which is possible through numerous available technologies in the industry. The production of asphalt mix is done by warm mix asphalt (WMA) technology at considerably lower temperatures (120°C or lower). Less energy consumption, lower mixing and compaction temperatures, early site opening, reduced ageing, fewer emissions, cool weather paving, better workability and, finally, an extended paving window could be mentioned as some of the benefits obtained by using the WMA. This paper presents the WMA techniques and technologies such as foaming techniques, wax and chemical additives techniques. Additionally, the performance of WMA popular technologies such as Sasobit^®, WAM^®-Foam, Evotherm^®, Low energy asphalt, Rediset^® WMX and REVIX? are fully described.