This page has only limited features, please log in for full access.
The paper presents an analytical solution for the centric viscoelastic impact of two smooth balls. The contact period has two phases, compression and restitution, delimited by the moment corresponding to maximum deformation. The motion of the system is described by a nonlinear Hunt–Crossley equation that, when compared to the linear model, presents the advantage of a hysteresis loop closing in origin. There is only a single available equation obtained from the theorem of momentum. In order to solve the problem, in the literature, there are accepted different supplementary hypotheses based on energy considerations. In the present paper, the differential equation is written under a convenient form; it is shown that it can be integrated and a first integral is found—this being the main asset of the work. Then, all impact parameters can be calculated. The effect of coefficient of restitution upon all collision characteristics is emphasized, presenting importance for the compliant materials, in the domain of small coefficients of restitution. The results (variations of approach, velocity, force vs. time and hysteresis loop) are compared to two models due to Lankarani and Flores. For quasi-elastic collisions, the results are practically the same for the three models. For smaller values of the coefficient of restitution, the results of the present paper are in good agreement only to the Flores model. The simplified algorithm for the calculus of viscoelastic impact parameters is also presented. This algorithm avoids the large calculus volume required by solving the transcendental equations and definite integrals present in the mathematical model. The method proposed, based on the viscoelastic model given by Hunt and Crossley, can be extended to the elasto–visco–plastic nonlinear impact model.
Stelian Alaci; Constantin Filote; Florina-Carmen Ciornei; Oana Grosu; Maria Raboaca. An Analytical Solution for Non-Linear Viscoelastic Impact. Mathematics 2021, 9, 1849 .
AMA StyleStelian Alaci, Constantin Filote, Florina-Carmen Ciornei, Oana Grosu, Maria Raboaca. An Analytical Solution for Non-Linear Viscoelastic Impact. Mathematics. 2021; 9 (16):1849.
Chicago/Turabian StyleStelian Alaci; Constantin Filote; Florina-Carmen Ciornei; Oana Grosu; Maria Raboaca. 2021. "An Analytical Solution for Non-Linear Viscoelastic Impact." Mathematics 9, no. 16: 1849.
The study tried to contribute to solving two serious environmental issues: CO2 reducing and sewage sludge disposal. Thus, sewage-sludge-derived materials were obtained in order to be evaluated for CO2 adsorption capacity. Therefore, the char resulted after the sewage sludge pyrolysis was subjected to oxidation and chemical activation processes by using different quantities of alkaline hydroxide. One of the obtained materials, activated with a lower quantity of alkaline hydroxide, was also treated with acid chloride. Further, the materials were structural and texturally characterized, and material treated with acid chloride was used for CO2 adsorption tests, due to high surface area and pore volume. The handmade system coupled to a gas chromatograph allowed the adsorption efficiency evaluation using different feed gases (rich and poor in CO2) by completed purge of pipe line and on-line check. Additionally, the adsorption capacity, separation efficiency, and CO2 recovery were calculated. Taking into account the values for adsorption capacity (separation efficiency and CO2 recovery), it can be concluded that the sewage sludge derived material could be a promising solution for CO2 reduction and waste disposal.
Marius Miricioiu; Anca Zaharioiu; Simona Oancea; Felicia Bucura; Maria Raboaca; Constantin Filote; Roxana Ionete; Violeta Niculescu; Marius Constantinescu. Sewage Sludge Derived Materials for CO2 Adsorption. Applied Sciences 2021, 11, 7139 .
AMA StyleMarius Miricioiu, Anca Zaharioiu, Simona Oancea, Felicia Bucura, Maria Raboaca, Constantin Filote, Roxana Ionete, Violeta Niculescu, Marius Constantinescu. Sewage Sludge Derived Materials for CO2 Adsorption. Applied Sciences. 2021; 11 (15):7139.
Chicago/Turabian StyleMarius Miricioiu; Anca Zaharioiu; Simona Oancea; Felicia Bucura; Maria Raboaca; Constantin Filote; Roxana Ionete; Violeta Niculescu; Marius Constantinescu. 2021. "Sewage Sludge Derived Materials for CO2 Adsorption." Applied Sciences 11, no. 15: 7139.
In this work, authors have designed, constructed and tested a new kind of partially superconducting axial flux machine. This model is based on the magnetic flux concentration principle. The magnetic field creation part consists of the NbTi superconducting solenoid and two YBaCuO plates. A theoretical study is conducted of an extrapolated superconducting inductor for low-temperature superconducting and high-temperature superconducting solenoids. The optimization of the inductor is carried out in order to increase the torque and the power density as well. This improvement is done by changing the shape of the elements which form the superconducting inductor. Finally, a prototype is realized, and tested.
Brahim Douma; Bilal Abderezzak; Elhadj Ailam; Raluca-Andreea Felseghi; Constantin Filote; Catalin Dumitrescu; Maria Raboaca. Design Development and Analysis of a Partially Superconducting Axial Flux Motor Using YBCO Bulks. Materials 2021, 14, 4295 .
AMA StyleBrahim Douma, Bilal Abderezzak, Elhadj Ailam, Raluca-Andreea Felseghi, Constantin Filote, Catalin Dumitrescu, Maria Raboaca. Design Development and Analysis of a Partially Superconducting Axial Flux Motor Using YBCO Bulks. Materials. 2021; 14 (15):4295.
Chicago/Turabian StyleBrahim Douma; Bilal Abderezzak; Elhadj Ailam; Raluca-Andreea Felseghi; Constantin Filote; Catalin Dumitrescu; Maria Raboaca. 2021. "Design Development and Analysis of a Partially Superconducting Axial Flux Motor Using YBCO Bulks." Materials 14, no. 15: 4295.
This paper is concerned with designing and numerically implementing a V2X (Vehicle-to-Vehicle and Vehicle-to-Infrastructure) control system architecture for a platoon of autonomous vehicles. The V2X control architecture integrates the well-known Intelligent Driver Model (IDM) for a platoon of Autonomous Driving Vehicles (ADVs) with Vehicle-to-Infrastructure (V2I) Communication. The main aim is to address practical implementation issues of such a system as well as the safety and security concerns for traffic environments. To this end, we first investigated a channel estimation model for V2I communication. We employed the IEEE 802.11p vehicular standard and calculated path loss, Packet Error Rate (PER), Signal-to-Noise Ratio (SNR), and throughput between transmitter and receiver end. Next, we carried out several case studies to evaluate the performance of the proposed control system with respect to its response to: (i) the communication infrastructure; (ii) its sensitivity to an emergency, inter-vehicular gap, and significant perturbation; and (iii) its performance under the loss of communication and changing driving environment. Simulation results show the effectiveness of the proposed control model. The model is collision-free for an infinite length of platoon string on a single lane road-driving environment. It also shows that it can work during a lack of communication, where the platoon vehicles can make their decision with the help of their own sensors. V2X Enabled Intelligent Driver Model (VX-IDM) performance is assessed and compared with the state-of-the-art models considering standard parameter settings and metrics.
Piyush Dhawankar; Prashant Agrawal; Bilal Abderezzak; OmPrakash Kaiwartya; Krishna Busawon; Maria Raboacă. Design and Numerical Implementation of V2X Control Architecture for Autonomous Driving Vehicles. Mathematics 2021, 9, 1696 .
AMA StylePiyush Dhawankar, Prashant Agrawal, Bilal Abderezzak, OmPrakash Kaiwartya, Krishna Busawon, Maria Raboacă. Design and Numerical Implementation of V2X Control Architecture for Autonomous Driving Vehicles. Mathematics. 2021; 9 (14):1696.
Chicago/Turabian StylePiyush Dhawankar; Prashant Agrawal; Bilal Abderezzak; OmPrakash Kaiwartya; Krishna Busawon; Maria Raboacă. 2021. "Design and Numerical Implementation of V2X Control Architecture for Autonomous Driving Vehicles." Mathematics 9, no. 14: 1696.
Rice is the second most extensively consumed food ingredient, and its by-products in the paddy field include rice husk and straw. Rice husk ash, resulting from rice husk burning, is considered an environment menace, inducing negative effects on the area in which it is disposed of. In this study, rice husk was applied as a silicate source to obtain mesoporous silica material. Characterization techniques confirmed the well-ordered mesophase and resemblance of mesoporous silica resulting from rice husk ash with one obtained from conventional silica sources. The mesoporous silica material was further used as catalyst support. The resulting catalysts were used for rhodamine 110 oxidation, proving high potential for oxidizing hazardous organic compounds, such as dyes from water, resulting in environmentally harmless products.
Violeta-Carolina Niculescu; Maria Raboaca. Efficient Rice-Husk-Derived Silica Nanocatalysts for Organic Dye Removal from Water. Catalysts 2021, 11, 815 .
AMA StyleVioleta-Carolina Niculescu, Maria Raboaca. Efficient Rice-Husk-Derived Silica Nanocatalysts for Organic Dye Removal from Water. Catalysts. 2021; 11 (7):815.
Chicago/Turabian StyleVioleta-Carolina Niculescu; Maria Raboaca. 2021. "Efficient Rice-Husk-Derived Silica Nanocatalysts for Organic Dye Removal from Water." Catalysts 11, no. 7: 815.
Around the world, every year, about 17 million people death cause happen due to CardioVascular Diseases (CVD). As per clinical records, primarily sufferers exhibit myocardial infarctions and Heart Failures (HF). Creatinine is a Musculo - skeletal waste product. The kidneys filter creatinine from the blood and excrete it through the urine in a healthy body. High creatinine levels can suggest renal problems. Elevated Serum Creatinine (SC) has been well established in the HF. Patients’ electronic medical records can be used to quantify symptoms and other related clinical laboratory test values, which would then be utilized to direct biostatistics exploration to uncover patterns and associations that doctors would otherwise miss. The latest American Heart Association guidelines for 1500 mg/d sodium tend to be sufficiently relevant for patients with stage A and B with HF. In this article, we used a dataset of the year 2015 of heart patients records of 299 patients. The present paper used the data analytic and statistical tools to verify the significant differences between alive and dead patients’ SC and Serum Sodium (SS). It also demonstrates the impact of significant features on abnormal SC and SS on the Survival-Status levels. The Age-Group feature, which is derived from age attribute and, Ejection Fraction (EF), anemia, platelets, Creatinine Phosphokinase (CPK), Blood-Pressure (BP), gender, diabetes, and smoking-status were utilized to determine the potential contributing features to mortality with Cox regression model. The Kaplan Meier plot was used to investigate the overall pattern of survival concerning age-group. During pre-processing of the dataset, Age and SS were removed due to multicollinear features during performing machine learning algorithms experiments. This paper also predicted patients’ survival, age group, and gender using supervised machine learning classifiers. Detection of significant features would help in making informed decisions to balance the lifestyle of heart patients. The author revealed that the patient’s follow-up months, as well as SC, EF, CPK, and platelets, are sufficient key features to predict heart patient survival using Random Forest (RF) stratified 10-fold CV method with accuracy (96%) with 5% Standard Deviation (SD) from medical records dataset. We identified the age-group and gender of the patient, and the RF model outperformed others with the best accuracy 96% and 94% in both cases having 11% SD. Also, prominent features such as CPK, SC, follow-up month, platelets, and ejection were found to be significant factors in predicting the patient’s age-group. Smoking habits, CPK, platelets, follow-up month, and SC of each patient were discovered to be significant predictors of patient gender. The hypothetical study proved that SC and SS making substantial differences in the survival of patients (p < 0.05) and failed to reject that anemia, diabetes, and BP making a significant impact on the creatinine and sodium of each patient (p > 0.05). With χ2(1) = 8.565, the Kaplan Meier plot revealed that mortality was high in the extremely elder age-group. The finding has possible effects on clinical practice and becomes a new medical support system when predicting whether a patient can survive a heart attack or not. The doctor should primarily concentrate on follow-up month, SC and EF, CPK, and platelet count since the aim is to understand whether a patient survives after HF.
Deepak Kumar; Chaman Verma; Sanjay Dahiya; Pradeep Kumar Singh; Maria Simona Raboaca. Cardiac Diagnostic Feature and Demographic Identification Models: A Futuristic Approach for Smart Healthcare Using Machine Learning. 2021, 1 .
AMA StyleDeepak Kumar, Chaman Verma, Sanjay Dahiya, Pradeep Kumar Singh, Maria Simona Raboaca. Cardiac Diagnostic Feature and Demographic Identification Models: A Futuristic Approach for Smart Healthcare Using Machine Learning. . 2021; ():1.
Chicago/Turabian StyleDeepak Kumar; Chaman Verma; Sanjay Dahiya; Pradeep Kumar Singh; Maria Simona Raboaca. 2021. "Cardiac Diagnostic Feature and Demographic Identification Models: A Futuristic Approach for Smart Healthcare Using Machine Learning." , no. : 1.
Alternative energy resources have a significant function in the performance and decarbonization of power engendering schemes in the building application domain. Additionally, “green buildings” play a special role in reducing energy consumption and minimizing CO2 emissions in the building sector. This research article analyzes the performance of alternative primary energy sources (sun and hydrogen) integrated into a hybrid photovoltaic panel/fuel cell system, and their optimal synergy to provide green energy for a green building. The study addresses the future hydrogen-based economy, which involves the supply of hydrogen as the fuel needed to provide fuel cell energy through a power distribution infrastructure. The objective of this research is to use fuel cells in this field and to investigate their use as a green building energy supply through a hybrid electricity generation system, which also uses photovoltaic panels to convert solar energy. The fuel cell hydrogen is supplied through a distribution network in which hydrogen production is outsourced and independent of the power generation system. The case study creates virtual operating conditions for this type of hybrid energy system and simulates its operation over a one-year period. The goal is to demonstrate the role and utility of fuel cells in virtual conditions by analyzing energy and economic performance indicators, as well as carbon dioxide emissions. The case study analyzes the optimal synergy between photovoltaic panels and fuel cells for the power supply of a green building. In the simulation, an optimally configured hybrid system supplies 100% of the energy to the green building while generating carbon dioxide emissions equal to 11.72% of the average value calculated for a conventional energy system providing similar energy to a standard residential building. Photovoltaic panels account for 32% of the required annual electricity production, and the fuel cells generate 68% of the total annual energy output of the system.
Raluca-Andreea Felseghi; Ioan Așchilean; Nicoleta Cobîrzan; Andrei Bolboacă; Maria Raboaca. Optimal Synergy between Photovoltaic Panels and Hydrogen Fuel Cells for Green Power Supply of a Green Building—A Case Study. Sustainability 2021, 13, 6304 .
AMA StyleRaluca-Andreea Felseghi, Ioan Așchilean, Nicoleta Cobîrzan, Andrei Bolboacă, Maria Raboaca. Optimal Synergy between Photovoltaic Panels and Hydrogen Fuel Cells for Green Power Supply of a Green Building—A Case Study. Sustainability. 2021; 13 (11):6304.
Chicago/Turabian StyleRaluca-Andreea Felseghi; Ioan Așchilean; Nicoleta Cobîrzan; Andrei Bolboacă; Maria Raboaca. 2021. "Optimal Synergy between Photovoltaic Panels and Hydrogen Fuel Cells for Green Power Supply of a Green Building—A Case Study." Sustainability 13, no. 11: 6304.
The popularity of the electric vehicles has been growing due to the concern of increase in environmental pollution. In order to overcome the environmental issues, electric vehicles have been introduced all over the globe. As the use and number of electric vehicles is growing, there is a great demand to identify the sustainable solutions for intelligent charging station dedicated to electric vehicles. The objective of this paper is to explore the possibilities for intelligent charging station using 5G services. This paper is a state-of-the-art concept to identify the current challenges and issues of intelligent charging station. It should be noted that in the future, the use of the smart charging station will dramatically improve the efficiency of current charging stations. It is identified based on several existing techniques that the biggest challenges are the connectivity between the vehicles and among different charging stations. This manuscript could be useful for researchers working on intelligent charging station worldwide and on their integration with the recent communication technologies like 5G. The features of intelligent charging stations combined with the fifth-generation network represent a new path for humanity and introduce a safer and more advanced environment. From data privacy to human safety, the network provides enough resources to rise driving quality, time and fuel economy and human lives saving. The results of this research can be well applied in the industry or in the field of academic research.
Maria Simona Răboacă; Nicu Bizon; Phatiphat Thounthong. Intelligent charging station in 5G environments: Challenges and perspectives. International Journal of Energy Research 2021, 45, 16418 -16435.
AMA StyleMaria Simona Răboacă, Nicu Bizon, Phatiphat Thounthong. Intelligent charging station in 5G environments: Challenges and perspectives. International Journal of Energy Research. 2021; 45 (11):16418-16435.
Chicago/Turabian StyleMaria Simona Răboacă; Nicu Bizon; Phatiphat Thounthong. 2021. "Intelligent charging station in 5G environments: Challenges and perspectives." International Journal of Energy Research 45, no. 11: 16418-16435.
The present study accentuated a hybrid approach to evaluate the impact, association and discrepancies of demographic characteristics on a student’s job placement. The present study extracted several significant academic features that determine the Master of Business Administration (MBA) student placement and confirm the placed gender. This paper recommended a novel futuristic roadmap for students, parents, guardians, institutions, and companies to benefit at a certain level. Out of seven experiments, the first five experiments were conducted with deep statistical computations, and the last two experiments were performed with supervised machine learning approaches. On the one hand, the Support Vector Machine (SVM) outperformed others with the uppermost accuracy of 90% to predict the employment status. On the other hand, the Random Forest (RF) attained a maximum accuracy of 88% to recognize the gender of placed students. Further, several significant features are also recommended to identify the placement of gender and placement status. A statistical t-test at 0.05 significance level proved that the student’s gender did not influence their offered salary during job placement and MBA specializations Marketing and Finance (Mkt&Fin) and Marketing and Human Resource (Mkt&HR) (p > 0.05). Additionally, the result of the t-test also showed that gender did not affect student’s placement test percentage scores (p > 0.05) and degree streams such as Science and Technology (Sci&Tech), Commerce and Management (Comm&Mgmt). Others did not affect the offered salary (p > 0.05). Further, the
Deepak Kumar; Chaman Verma; Pradeep Singh; Maria Raboaca; Raluca-Andreea Felseghi; Kayhan Ghafoor. Computational Statistics and Machine Learning Techniques for Effective Decision Making on Student’s Employment for Real-Time. Mathematics 2021, 9, 1166 .
AMA StyleDeepak Kumar, Chaman Verma, Pradeep Singh, Maria Raboaca, Raluca-Andreea Felseghi, Kayhan Ghafoor. Computational Statistics and Machine Learning Techniques for Effective Decision Making on Student’s Employment for Real-Time. Mathematics. 2021; 9 (11):1166.
Chicago/Turabian StyleDeepak Kumar; Chaman Verma; Pradeep Singh; Maria Raboaca; Raluca-Andreea Felseghi; Kayhan Ghafoor. 2021. "Computational Statistics and Machine Learning Techniques for Effective Decision Making on Student’s Employment for Real-Time." Mathematics 9, no. 11: 1166.
The fidelity of an image subjected to digital processing, such as a contour/texture highlighting process or a noise reduction algorithm, can be evaluated based on two types of criteria: objective and subjective, sometimes the two types of criteria being considered together. Subjective criteria are the best tool for evaluating an image when the image obtained at the end of the processing is interpreted by man. The objective criteria are based on the difference, pixel by pixel, between the original and the reconstructed image and ensure a good approximation of the image quality perceived by a human observer. There is also the possibility that in evaluating the fidelity of a remade (reconstructed) image, the pixel-by-pixel differences will be weighted according to the sensitivity of the human visual system. The problem of improving medical images is particularly important in assisted diagnosis, with the aim of providing physicians with information as useful as possible in diagnosing diseases. Given that this information must be available in real time, we proposed a solution for reconstructing the contours in the images that uses a modified Wiener filter in the wavelet domain and a nonlinear cellular network and that is useful both to improve the contrast of its contours and to eliminate noise. In addition to the need to improve imaging, medical applications also need these applications to run in real time, and this need has been the basis for the design of the method described below, based on the modified Wiener filter and nonlinear cellular networks.
Catalin Dumitrescu; Maria Raboaca; Raluca Felseghi. Methods for Improving Image Quality for Contour and Textures Analysis Using New Wavelet Methods. Applied Sciences 2021, 11, 3895 .
AMA StyleCatalin Dumitrescu, Maria Raboaca, Raluca Felseghi. Methods for Improving Image Quality for Contour and Textures Analysis Using New Wavelet Methods. Applied Sciences. 2021; 11 (9):3895.
Chicago/Turabian StyleCatalin Dumitrescu; Maria Raboaca; Raluca Felseghi. 2021. "Methods for Improving Image Quality for Contour and Textures Analysis Using New Wavelet Methods." Applied Sciences 11, no. 9: 3895.
This chapter aims to present the implementation and real time simulation stages of a PEM fuel cell using OPAL-RT technology. The following topics are presented: OPAL-RT technology, real-time simulation, conditions regarding the implementation of a mathematical model from Simulink/MATLAB in the RT-LAB platform using the OPAL-RT technology. Through the developed mathematical models, the authors can optimize the fuel cells, but also the integration of monitoring and control systems with the purpose of real time visualization of parameters as well as data acquisition using CAN, data storage and processing. The physical mathematical equations of the model were implemented in a programming language, in the form of code or block diagram, in order to be simulated in real-time. The advantages of real-time simulation of the mathematical models developed in the research projects are characterized by three decisive factors: speed of implementation, development flexibility and results predictability. The originality of the method is that the model can be simulated in real time (HIL) using an OPAL-RT architecture.
Maria Simona Raboaca; Mihai Rata; Ioana Manta; Gabriela Rata. OPAL-RT Technology Used in Automotive Applications for PEMFC. Numerical Methods for Energy Applications 2021, 443 -464.
AMA StyleMaria Simona Raboaca, Mihai Rata, Ioana Manta, Gabriela Rata. OPAL-RT Technology Used in Automotive Applications for PEMFC. Numerical Methods for Energy Applications. 2021; ():443-464.
Chicago/Turabian StyleMaria Simona Raboaca; Mihai Rata; Ioana Manta; Gabriela Rata. 2021. "OPAL-RT Technology Used in Automotive Applications for PEMFC." Numerical Methods for Energy Applications , no. : 443-464.
The object of this research came from the continuing need to analyze and identify effective methods of reducing pollution and optimizing the functions of electric vehicles. So, a classic analysis of the management strategies proposed in the literature was performed to identify the main research directions that can be used to design an optimal strategy. The performed analysis was validated using different counting and representation methods in VOSviewer and Excel. VOSviewer is a program that visually presents the best research approaches for understanding and developing applications. Thus, analyzing the results obtained, it is possible to identify where the research of energy management strategies for electric vehicles is focused. For example, the most important factors for increasing the performance of a strategy are identified as related to optimization, efficiency, degradation, fuel economy, and systemic development. We identified 127 energy management strategies in the studied articles, which were analyzed and classified by multiple criteria. For example, 21.59% of the strategies have as main goal to increase the vehicles efficiency, followed by the 10% on fuel economy, 7.8% hydrogen consumption strategy, 6.29% work for performance optimization and emission reduction, and so on. So, using this tool, researchers can explore their field of research to identify challenging topics to address in the coming years.
Maria Simona Raboaca; Nicu Bizon; Oana Vasilica Grosu. Optimal energy management strategies for the electric vehicles compiling bibliometric maps. International Journal of Energy Research 2021, 45, 10129 -10172.
AMA StyleMaria Simona Raboaca, Nicu Bizon, Oana Vasilica Grosu. Optimal energy management strategies for the electric vehicles compiling bibliometric maps. International Journal of Energy Research. 2021; 45 (7):10129-10172.
Chicago/Turabian StyleMaria Simona Raboaca; Nicu Bizon; Oana Vasilica Grosu. 2021. "Optimal energy management strategies for the electric vehicles compiling bibliometric maps." International Journal of Energy Research 45, no. 7: 10129-10172.
In order to obtained high selective membrane for industrial applications (such as natural gas purification), mixed matrix membranes (MMMs) were developed based on polysulfone as matrix and MCM-41-type silica material (obtained from coal fly ash) as filler. As a consequence, various quantities of filler were used to determine the membranes efficiency on CO2/CH4 separation. The coal fly ash derived silica nanomaterial and the membranes were characterized in terms of thermal stability, homogeneity, and pore size distribution. There were observed similar properties of the obtained nanomaterial with a typical MCM-41 (obtained from commercial silicates), such as high surface area and pore size distribution. The permeability tests highlighted that the synthesized membranes can be applicable for CO2 removal from CH4, due to unnoticeable differences between real and ideal selectivity. Additionally, the membranes showed high resistance to CO2 plasticization, due to permeability decrease even at high feed pressure, up to 16 bar.
Marius Miricioiu; Violeta-Carolina Niculescu; Constantin Filote; Maria Raboaca; Gheorghe Nechifor. Coal Fly Ash Derived Silica Nanomaterial for MMMs—Application in CO2/CH4 Separation. Membranes 2021, 11, 78 .
AMA StyleMarius Miricioiu, Violeta-Carolina Niculescu, Constantin Filote, Maria Raboaca, Gheorghe Nechifor. Coal Fly Ash Derived Silica Nanomaterial for MMMs—Application in CO2/CH4 Separation. Membranes. 2021; 11 (2):78.
Chicago/Turabian StyleMarius Miricioiu; Violeta-Carolina Niculescu; Constantin Filote; Maria Raboaca; Gheorghe Nechifor. 2021. "Coal Fly Ash Derived Silica Nanomaterial for MMMs—Application in CO2/CH4 Separation." Membranes 11, no. 2: 78.
The renewable energy for the production of syngas (synthetic gas) by gasification of biomass has specific features and objectives. The present chapter aims to describe the specific features of renewable energy for the production of syngas by gasification of biomass. The specific objective refers to the study of the equipment for the production of synthetic gaseous fuels (syngas) by gasification of biomass. The “biomass” term can be defined generically as the biodegradable part of agricultural products, residues and waste, gathering both animal and plant substances, wood industry, and also the biodegradable component of urban and industrial waste. Biomass sources are the most found renewable resources on Earth, also including all the organic components resulted from the organism's metabolic process, being the first resource of energy man has used, since the discovery of fire.
Alin Corbu; Maria Simona Raboaca; Sudeep Tanwar. Overview Regarding Synthetic Gas Production by Biomass Gasification. Advances in Computer and Electrical Engineering 2021, 70 -104.
AMA StyleAlin Corbu, Maria Simona Raboaca, Sudeep Tanwar. Overview Regarding Synthetic Gas Production by Biomass Gasification. Advances in Computer and Electrical Engineering. 2021; ():70-104.
Chicago/Turabian StyleAlin Corbu; Maria Simona Raboaca; Sudeep Tanwar. 2021. "Overview Regarding Synthetic Gas Production by Biomass Gasification." Advances in Computer and Electrical Engineering , no. : 70-104.
Energy storage is a vital component in the chain of production-distribution-consumption of energy, even more so if the energy comes from a source that is intermittent and/or is not controllable as is the case with for example solar energy and wind energy. For many people, the term energy storage is the storage of electricity in batteries, as it is the most commonly found way of storing energy. In addition to classic batteries, there are other energy storage alternatives from a primary source for later use. The most valuable forms of energy storage are the ones that can both take over and release the energy on demand, in the form of electricity, such that, in the end, the electrical energy is transformed into thermal or mechanical energy. In stationary applications, energy can be stored in various forms such as batteries, ultracapacitors, or tanks of hydrogen, water, and different types of materials. This chapter will evaluate each form of energy storage.
Ana-Maria Nasture; Maria Simona Raboaca; Laurentiu Patularu; Ciprian Lupu. Energy Storage Systems. Advances in Computer and Electrical Engineering 2021, 105 -138.
AMA StyleAna-Maria Nasture, Maria Simona Raboaca, Laurentiu Patularu, Ciprian Lupu. Energy Storage Systems. Advances in Computer and Electrical Engineering. 2021; ():105-138.
Chicago/Turabian StyleAna-Maria Nasture; Maria Simona Raboaca; Laurentiu Patularu; Ciprian Lupu. 2021. "Energy Storage Systems." Advances in Computer and Electrical Engineering , no. : 105-138.
Currently, buildings are considered to be a continuously evolving organism that over time has to be treated, rehabilitated, and upgraded to meet the requirements set by the user at a certain stage. Buildings are a central element of the EU member states' energy efficiency policies, accounting for about 40% of final energy consumption, and 36% of greenhouse gas emissions, and about 75% of buildings are not energy efficient. Recent applications and studies establish that green retrofitting has maintained older existing buildings to increase energy efficiency, optimize building performance, increase occupants' satisfaction, and boost economic return while decreasing greenhouse gas emissions. In this regard, this chapter aims to address the main factors that negatively affect the performance of residential buildings and presents the common green retrofitting measures that can be taken to ensure the state of human well-being in residential buildings.
Raluca Andreea Felseghi; Teodora Melania Şoimoşan; Constatin Filote; Maria Simona Răboaca. Considerations Regarding the Green Retrofitting of Residential Buildings From Human Wellbeing Perspectives. Research Anthology on Environmental and Societal Well-Being Considerations in Buildings and Architecture 2021, 274 -307.
AMA StyleRaluca Andreea Felseghi, Teodora Melania Şoimoşan, Constatin Filote, Maria Simona Răboaca. Considerations Regarding the Green Retrofitting of Residential Buildings From Human Wellbeing Perspectives. Research Anthology on Environmental and Societal Well-Being Considerations in Buildings and Architecture. 2021; ():274-307.
Chicago/Turabian StyleRaluca Andreea Felseghi; Teodora Melania Şoimoşan; Constatin Filote; Maria Simona Răboaca. 2021. "Considerations Regarding the Green Retrofitting of Residential Buildings From Human Wellbeing Perspectives." Research Anthology on Environmental and Societal Well-Being Considerations in Buildings and Architecture , no. : 274-307.
The development and maintenance of complex software systems, with ever-changing requirements has benefited from the implementation of design patterns, which ensure a higher degree of maintainability. The present article illustrates the essential role of design patterns in sketching the software architecture for an electric vehicle charging management platform. We have integrated a series of design patterns to create a solid base structure for the API (Application Programming Interface). Furthermore, we have explored cloud design patterns in the deployment process to ensure a proper multi-tenant cloud application with the best possible tenant isolation for the cost. The aim of this paper is to offer readers an introduction in the case study theme, to describe a complex platform development through design patterns. With proper examples from real projects debated in the industry. The paper demonstrates the design patterns applicability from software level to cloud resources plan and advocates for a high-quality solution in every segment of project development. In conclusion, the results are promising, and the functionality of the established methods on this type of platforms will be evaluated during the implementation period. Overall, design patterns have proven to be essential in the development process, ensuring effective team communication and the delivery of qualitative software solutions.
Maria Meheden; Andrei Musat; Andrei Traciu; Andrei Viziteu; Adrian Onu; Constantin Filote; Maria Simona Răboacă. Design Patterns and Electric Vehicle Charging Software. Applied Sciences 2020, 11, 140 .
AMA StyleMaria Meheden, Andrei Musat, Andrei Traciu, Andrei Viziteu, Adrian Onu, Constantin Filote, Maria Simona Răboacă. Design Patterns and Electric Vehicle Charging Software. Applied Sciences. 2020; 11 (1):140.
Chicago/Turabian StyleMaria Meheden; Andrei Musat; Andrei Traciu; Andrei Viziteu; Adrian Onu; Constantin Filote; Maria Simona Răboacă. 2020. "Design Patterns and Electric Vehicle Charging Software." Applied Sciences 11, no. 1: 140.
Since ancient times, agriculture has been one of the most important resources of national development. At a national level, clean energy is a strategic objective of Romania, in accordance with the EC directive 2016/30.11.2016 (“Clean Energy for All”). At a European level, the European Commission published in January 2019 the “Towards a Sustainable Europe by 2030” strategy, highlighting the strategic importance of the Internet of Things (IoT) and blockchain technologies. In this context, the synergy between the energy management of a hybrid energy system and blockchain technology, applied to farmers’ associations, represents a priority research direction in the field of information and communication technology, blockchain, and security. This paper presents the integration of the management of the energy produced by photovoltaic panels owned by farmers’ association, to support the variable energy demand (necessary for water pumps, charging stations of the electric agricultural machines, the animal farms, and the auxiliary equipment) based on the IoT, DLT, blockchain technologies and smart contracts applied to farmers associations registered as users of the SmartFarm platform.
Maria Simona Raboaca; Nicu Bizon; Catalin Trufin; Florentina Magda Enescu. Efficient and Secure Strategy for Energy Systems of Interconnected Farmers′ Associations to Meet Variable Energy Demand. Mathematics 2020, 8, 2182 .
AMA StyleMaria Simona Raboaca, Nicu Bizon, Catalin Trufin, Florentina Magda Enescu. Efficient and Secure Strategy for Energy Systems of Interconnected Farmers′ Associations to Meet Variable Energy Demand. Mathematics. 2020; 8 (12):2182.
Chicago/Turabian StyleMaria Simona Raboaca; Nicu Bizon; Catalin Trufin; Florentina Magda Enescu. 2020. "Efficient and Secure Strategy for Energy Systems of Interconnected Farmers′ Associations to Meet Variable Energy Demand." Mathematics 8, no. 12: 2182.
In this study, the performance and safe operation of the fuel cell (FC) system and battery-based energy storage system (ESS) included in an FC/ESS/renewable hybrid power system (HPS) is fully analyzed under dynamic load and variable power from renewable sources. Power-following control (PFC) is used for either the air regulator or the fuel regulator of the FC system, or it is switched to the inputs of the air and hydrogen regulators based on a threshold of load demand; these strategies are referred to as air-PFC, fuel-PFC, and air/fuel-PFC, respectively. The performance and safe operation of the FC system and battery-based ESS under these strategies is compared to the static feed-forward (sFF) control used by most commercial strategies implemented in FC systems, FC/renewable HPSs, and FC vehicles. This study highlights the benefits of using a PFC-based strategy to establish FC-system fueling flows, in addition to an optimal control of the boost power converter to maximize fuel economy. For example, the fuel economy for a 6 kW FC system using the air/fuel-PFC strategy compared to the strategies air-PFC, fuel-PFC, and the sFF benchmark is 6.60%, 7.53%, and 12.60% of the total hydrogen consumed by these strategies under a load profile of up and down the stairs using 1 kW/2 s per step. For an FC/ESS/renewable system, the fuel economy of an air/fuel-PFC strategy compared to same strategies is 7.28%, 8.23%, and 13.43%, which is better by about 0.7% because an FC system operates at lower power due to the renewable energy available in this case study.
Nicu Bizon; Mihai Oproescu; Phatiphat Thounthong; Mihai Varlam; Elena Carcadea; Mihai Culcer; Mariana Iliescu; Maria Simona Raboaca; Ioan Sorin Sorlei. Improving the Fuel Economy and Battery Lifespan in Fuel Cell/Renewable Hybrid Power Systems Using the Power-Following Control of the Fueling Regulators. Applied Sciences 2020, 10, 8310 .
AMA StyleNicu Bizon, Mihai Oproescu, Phatiphat Thounthong, Mihai Varlam, Elena Carcadea, Mihai Culcer, Mariana Iliescu, Maria Simona Raboaca, Ioan Sorin Sorlei. Improving the Fuel Economy and Battery Lifespan in Fuel Cell/Renewable Hybrid Power Systems Using the Power-Following Control of the Fueling Regulators. Applied Sciences. 2020; 10 (22):8310.
Chicago/Turabian StyleNicu Bizon; Mihai Oproescu; Phatiphat Thounthong; Mihai Varlam; Elena Carcadea; Mihai Culcer; Mariana Iliescu; Maria Simona Raboaca; Ioan Sorin Sorlei. 2020. "Improving the Fuel Economy and Battery Lifespan in Fuel Cell/Renewable Hybrid Power Systems Using the Power-Following Control of the Fueling Regulators." Applied Sciences 10, no. 22: 8310.
In recent years, people have witnessed numerous Internet of Things (IoT)-based attacks with the exponential increase in the number of IoT devices. Alongside this, the means to secure IoT-based applications are maturing slower than our budding dependence on them. Moreover, the vulnerabilities in an IoT system are exploited in chains to penetrate deep into the network and yield more adverse aftereffects. To mitigate these issues, this paper gives unique insights for handling the growing vulnerabilities in common IoT devices and proposes a threat architecture for IoT, addressing threats in the context of a three-layer IoT reference architecture. Furthermore, the vulnerabilities exploited at the several IoT attack surfaces and the challenges they exert are explored. Thereafter, the challenges in quantifying the IoT vulnerabilities with the existing framework are also analyzed. The study also covers a case study on the Intelligent Transportation System, covering road transport and traffic control specifically in terms of threats and vulnerabilities. Another case study on secure energy management in the Smart Grid is also presented. This case study covers the applications of Internet of Vulnerable Things (IoVT) in Smart energy Grid solutions, as there will be tremendous use of IoT in future Smart Grids to save energy and improve overall distribution. The analysis shows that the integration of the proposed architecture in existing applications alarms the developers about the embedded threats in the system.
Pooja Anand; Yashwant Singh; Arvind Selwal; Pradeep Singh; Raluca Felseghi; Maria Raboaca. IoVT: Internet of Vulnerable Things? Threat Architecture, Attack Surfaces, and Vulnerabilities in Internet of Things and Its Applications towards Smart Grids. Energies 2020, 13, 4813 .
AMA StylePooja Anand, Yashwant Singh, Arvind Selwal, Pradeep Singh, Raluca Felseghi, Maria Raboaca. IoVT: Internet of Vulnerable Things? Threat Architecture, Attack Surfaces, and Vulnerabilities in Internet of Things and Its Applications towards Smart Grids. Energies. 2020; 13 (18):4813.
Chicago/Turabian StylePooja Anand; Yashwant Singh; Arvind Selwal; Pradeep Singh; Raluca Felseghi; Maria Raboaca. 2020. "IoVT: Internet of Vulnerable Things? Threat Architecture, Attack Surfaces, and Vulnerabilities in Internet of Things and Its Applications towards Smart Grids." Energies 13, no. 18: 4813.