Numerical investigation of fluid flow and heat transfer around a circular cylinder utilizing nanofluid for different thermal boundary condition in the steady regime

In this work, steady flow-field and heat transfer through a copper–water nanofluid around a circular cylinder, under the influence of both the standard thermal boundary conditions i.e. uniform heat flux (UHF) and constant wall temperature (CWT) was investigated numerically by using a finite-volume method for Reynolds numbers of 10 to 40. Furthermore, the range of nanoparticle volume fractions (φ) considered is 0 ≤ φ ≤ 5%. The variation of the local and the average Nusselt numbers with Reynolds number, and volume fractions are presented for the range of conditions. The average Nusselt number is found to increase with increasing the nanoparticle volume fractions

OLAP Textual Aggregation Approach using the Google Similarity Distance

International audienceData warehousing and On-Line Analytical Processing (OLAP) are essential elements to decision support. In the case of textual data, decision support requires new tools, mainly textual aggregation functions, for better and faster high level analysis and decision making. Such tools will provide textual measures to users who wish to analyse documents online. In this paper, we propose a new aggregation function for textual data in an OLAP context based on the K-means method. This approach will highlight aggregates semantically richer than those provided by classical OLAP operators. The distance used in K-means is replaced by the Google similarity distance which takes into account the semantic similarity of keywords for their aggregation. The performance of our approach is analyzed and compared to other methods such as Topkeywords, TOPIC, TuBE and BienCube. The experimental study shows that our approach achieves better performances in terms of recall, precision,F-measure complexity and runtime

Radiological environment of S3 building - Simulation and modeling studies

International audienceThe modeling of a nuclear facility is a necessary tool to define the radiological environmentand to draw the rays map. This quantification is an important phase in the conceptionof a facility. It allows to know how the facility respects the safety constraints as well asthe general operating for what it is authorized. This work presents S3 as an example ofthe modeled nuclear facility. S3 (Super Separator Spectrometer) is a device of SPIRAL2dedicated to the experiments with high intensity stable beams to study heavy and superheavy nuclei, especially the neutron deficient ones. Light nuclei, namely those producedby transfer reaction, will also be available in S3. In this work we present the modelingof the current S3 facility, the simulation results of particles transport and the rays map(neutrons and other light particles) in S3 building. Some consequences of these calculationsas the damage for electronic components will also be presented. These studies used a MonteCarlo calculation method with the code PHITS2.82. Keywords : Modeling, Monte Carlosimulation, Particles transport, Neutron dose

Enhancing link prediction in dynamic networks using content aggregation

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The impact of computer-mediated communication on efl leaners' academic writing: A case study

Students are compelled to use language appropriately for an effective communication in English. Any improper practice of language is often unacceptable in pedagogical contexts. However, students advertently or inadvertently break linguistic rules, often under the influence of the intensive use of certain communication technology. This paper explores the influence of chat language, as a novel communication medium, in English as a Foreign Language (EFL) students’ academic writing. It is intended to discover how this “cyber language” has interfered into our students’ writing assignments. An experimental study was conducted based on the written scripts’ analysis of 100 students of the second-year license at the English Department in Laghouat University-Algeria. Indeed, the findings demonstrated that the overuse of the chat affects students’ language literacy, by transferring the pattern of written properly for computer-mediated communication (CMC) into the participants’ essays of the examination, and hence it leads them to produce less formal pieces of writing. Also, the paper shows some features of the chat language observed in the students’ compositions, which involve graphones, alphanumeric homophony, errors of punctuation, and vowel deletion

Unconfined laminar nanofluid flow and heat transfer around a rotating circular cylinder in the steady regime

In this work, steady flow-field and heat transfer through a copper-water nanofluid around a rotating circular cylinder with a constant nondimensional rotation rate α varying from 0 to 5 was investigated for Reynolds numbers of 5–40. Furthermore, the range of nanoparticle volume fractions considered is 0–5%. The effect of volume fraction of nanoparticles on the fluid flow and heat transfer characteristics are carried out by using a finite-volume method based commercial computational fluid dynamics solver. The variation of the local and the average Nusselt numbers with Reynolds number, volume fractions, and rotation rate are presented for the range of conditions. The average Nusselt number is found to decrease with increasing value of the rotation rate for the fixed value of the Reynolds number and volume fraction of nanoparticles. In addition, rotation can be used as a drag reduction technique

Cost Energy Consumption Optimization Through Scheduling of Energy Storage System

The increasing cost of energy consumption is one of the most common issues that is encountered by households. However, including more sources besides the power grid will help to reduce the total cost of energy consumption. In addition, including energy storage systems such are batteries will give the system more efficiency and high performance. The objective of the presented paper is to propose an optimal scheduling strategy for energy storage utilization in order to reduce the total energy consumption cost in homes supplied by several energy sources (solar and wind energy) besides the utility grid that is supposed to support the sale/purchase of energy. The results obtained by simulations proved the efficiency of the proposed scheduling strategy for the storage system, in optimizing the cost of consumed energy

Efficient energy scheduling considering cost reduction and energy saving in hybrid energy system with energy storage

The increase in energy demand, including peak power demand for electricity is one of the most important aspects to be considered in the electricity sector, as it has a negative impact on the flexibility of the power supply and the power balance in the electricity networks. Usually, some distribution system operators impose an additional cost on electricity consumption during peak hours, on other hand, they reducing the electricity price during off-peak periods to encourage householders to reschedule the use of electricity consumption. The work presented in this paper aims to propose an optimal strategy for scheduling energy consumption to help householders for reducing the cost of energy, as well as for saving energy in a residential house connected to a microgrid (Power grid system, PV, and battery storage system). The results presented are obtained using a particle swarm optimization algorithm (PSO) using Matlab. Two optimization scenarios are considered and compared to a base model to prove the efficiency and performance of the proposed optimization model. The results show that the scheduling strategy for energy consumption reduces the daily operating cost by 45% and that about 22% of energy is saved in the system