Fereshteh Salimi Nanadegani, Bengt Sunden^*

Frontiers in Heat and Mass Transfer, Vol.14, No.1, pp. 1-11, 2020, DOI:10.5098/hmt.14.21

Abstract In this experimental study, mass transfer and hydrodynamic parameters of water/kerosene/acetic acid system in a packed column were investigated, in which the mass transfer direction was set from the continuous phase (saturated water of kerosene and acetic acid) to the dispersed phase (saturated kerosene of water) in all the experiments. To assess the impact of nanoparticles on mass transfer, the experiments were performed in the presence of SiO₂ nanoparticles and absence of the nanoparticles. The results showed that the addition of the nanoparticles to the base fluid (saturated kerosene of water) increased the mass transfer efficiency to the critical concentration,… More >

Zijie Chen^a , Sanat Modak^a, Massoud Kaviany^a,* , Richard Bonner^b

Frontiers in Heat and Mass Transfer, Vol.14, No.1, pp. 1-11, 2020, DOI:10.5098/hmt.14.1

Abstract In dropwise condensation on vertical surface, droplets grow at nucleation sites, coalesce and reach the departing diameter. In biphilic surfaces, when the hydrophobic domain is small, the maximum droplet diameter is controlled by the shortest dimension where the droplets merge at the boundary. Through direct numerical simulations this size-effect heat transfer coefficient enhancement is calculated. Then the 1-D biphilic surface is optimized considering the size-dependent hydrophilic domain partial flooding (directly simulated as a liquid rivulet and using the capillary limit), the subcooling (heat flux) and condenser length effects. The predicted performance is in good agreement with the available experiments. More >

J. Sainton, M. Derzelle

Psycho-Oncologie, Vol.16, No.2, pp. 229-233, 2022, DOI:10.3166/pson-2022-0195

Abstract The recent French legislative evolution concerning the end of life, which tends to substitute the procedure for the relationship, raises questions. Today, every question seems to have to be obstinately transformed into a problem to be solved, and therefore to be solved technically. We are evolving in a context marked by the primacy of technique and law over meaning and human relationships. This paradigm, when confronted with our limitations, accentuates the double anguish of the end of life: fear of suffering and fear of dying. It also favors a nominalist understanding of freedom: autonomy is no longer understood as an… More >

Mattia Bunel, Ana-Maria Olteanu-Raimond, Cécile Duchêne

Revue Internationale de Géomatique, Vol.29, No.1, pp. 81-106, 2019, DOI:10.3166/rig.2019.00075

Abstract This paper proposes a methodology for transforming a position description expressed relatively in an indirect spatial reference system into an absolute position in a direct spatial reference system. This problem requires (1) to formalize the relative location elements, here in the form of a triplet model, which is used as a basis for the transformation from relative to absolute position, and (2) to investigate how the imperfection of the natural language can be taken into account in the modeling process. We propose to use fuzzy spatial objects and we will compare their implementations to identify the most appropriate approach to… More >

Hongfei Cao^1,2, Zhongda Lyu^1,2,3,*, Xi Peng^2,3, Zhuo Zhao^2,3

FDMP-Fluid Dynamics & Materials Processing, Vol.19, No.9, pp. 2361-2384, 2023, DOI:10.32604/fdmp.2023.027470

Abstract In recent years, Remotely Operated Vehicles (ROVs) have played an increasingly important role in the construction and monitoring of underwater pile foundations. However, due to the open frame structure of such vehicles, a gap of knowledge still exists with regard to their hydrodynamic behavior. In this study, the hydrodynamic stability of such vehicles is investigated numerically by means of a multiple reference frame method. The hydrodynamic characteristics of the ROV when it moves horizontally and upward in the vertical plane are examined. It is found that there is interference between the horizontal and vertical thrusters of the ROV. There is… More >

Tiantian Liu¹, Huimin Pang¹, Suoying He^1,*, Bin Zhao², Zhiyu Zhang¹, Jucheng Wang³, Zhilan Liu⁴, Xiang Huang⁵, Yuetao Shi¹, Ming Gao¹

FDMP-Fluid Dynamics & Materials Processing, Vol.19, No.9, pp. 2229-2266, 2023, DOI:10.32604/fdmp.2023.027239

Abstract A review is conducted about the application of the evaporative cooling technology in thermal power plants. Different case studies are considered, namely, evaporative air conditioners, evaporative cooling in direct air-cooled systems, gas turbine inlet cooling, wet cooling towers, and hybrid cooling towers with a crosswind effect. Some effort is provided to describe the advantages related to direct evaporative cooling when it is applied in thermal power plants and illustrate the research gaps, which have not been filled yet. In particular, typical case studies are intentionally used to compare the cooling performances when direct evaporative cooling is implemented in different types… More > Graphic Abstract

Baran Hekimoğlu^*

Energy Engineering, Vol.120, No.7, pp. 1515-1540, 2023, DOI:10.32604/ee.2023.029024

Abstract Two novel improved variants of reptile search algorithm (RSA), RSA with opposition-based learning (ORSA) and hybrid ORSA with pattern search (ORSAPS), are proposed to determine the proportional, integral, and derivative (PID) controller parameters of an automatic voltage regulator (AVR) system using a novel objective function with augmented flexibility. In the proposed algorithms, the opposition-based learning technique improves the global search abilities of the original RSA algorithm, while the hybridization with the pattern search (PS) algorithm improves the local search abilities. Both algorithms are compared with the original RSA algorithm and have shown to be highly effective algorithms for tuning the… More > Graphic Abstract

Zhengfang He^1,2,*, Cristina E. Dumdumaya², Ivy Kim D. Machica²

Intelligent Automation & Soft Computing, Vol.37, No.1, pp. 639-654, 2023, DOI:10.32604/iasc.2023.035352

Abstract Sentiment analysis, commonly called opinion mining or emotion artificial intelligence (AI), employs biometrics, computational linguistics, natural language processing, and text analysis to systematically identify, extract, measure, and investigate affective states and subjective data. Sentiment analysis algorithms include emotion lexicon, traditional machine learning, and deep learning. In the text sentiment analysis algorithm based on a neural network, multi-layer Bi-directional long short-term memory (LSTM) is widely used, but the parameter amount of this model is too huge. Hence, this paper proposes a Bi-directional LSTM with a trapezoidal structure model. The design of the trapezoidal structure is derived from classic neural networks, such… More >

Neelam Mughees^1,2, Mujtaba Hussain Jaffery¹, Abdullah Mughees³, Anam Mughees⁴, Krzysztof Ejsmont^5,*

CMC-Computers, Materials & Continua, Vol.75, No.3, pp. 6375-6393, 2023, DOI:10.32604/cmc.2023.038564

Abstract Wind and solar energy are two popular forms of renewable energy used in microgrids and facilitating the transition towards net-zero carbon emissions by 2050. However, they are exceedingly unpredictable since they rely highly on weather and atmospheric conditions. In microgrids, smart energy management systems, such as integrated demand response programs, are permanently established on a step-ahead basis, which means that accurate forecasting of wind speed and solar irradiance intervals is becoming increasingly crucial to the optimal operation and planning of microgrids. With this in mind, a novel “bidirectional long short-term memory network” (Bi-LSTM)-based, deep stacked, sequence-to-sequence autoencoder (S2SAE) forecasting model… More >

Kuldeep Sharma¹, Arun Malik¹, Isha Batra¹, A. S. M. Sanwar Hosen², Md Abdul Latif Sarker³, Dong Seog Han^4,*

CMC-Computers, Materials & Continua, Vol.75, No.3, pp. 5049-5072, 2023, DOI:10.32604/cmc.2023.035638

Abstract Electric smart grids enable a bidirectional flow of electricity and information among power system assets. For proper monitoring and controlling of power quality, reliability, scalability and flexibility, there is a need for an environmentally friendly system that is transparent, sustainable, cost-saving, energy-efficient, agile and secure. This paper provides an overview of the emerging technologies behind smart grids and the internet of things. The dependent variables are identified by analyzing the electricity consumption patterns for optimal utilization and planning preventive maintenance of their legacy assets like power distribution transformers with real-time parameters to ensure an uninterrupted and reliable power supply. In… More >