Abstract:A smart city is a sustainable and efficient urban center that provides a high quality of life to its inhabitants through optimal management of its resources. Energy management is one of the most demanding issues within such urban centers owing to the complexity of the energy systems and their vital role. Therefore, significant attention and effort need to be dedicated to this problem. Modelling and simulation are the major tools commonly used to assess the technological and policy impacts of smart solutions, as well as to plan the best ways of shifting from current cities to smarter ones. This paper presents the design and implementation of energy management system (EMS) based on hybrid sources system containing wind turbine, Photovoltaic (PV) and battery and load, all connected to the utility grid which is used as a backup source. The objectives of this system are, primarily, to satisfy the house load power demand and, secondly, to manage the power between its different components. The performances of the proposed supervisor control is tested using MATLAB/Simulink and the implementation of system is do on a Zybo-Z7 card based on zynq FPGA device.
Abstract:Applying ceramic materials like TiO2 through cold spraying is acknowledged as a complex procedure. The intricacy stems from the need for feedstock particles to undergo plastic deformation to bond with the substrate during cold spraying. However, inducing such deformation in ceramics, known for their hardness and brittleness, is not straightforward. Additionally, the underlying bonding mechanism is not fully clear. This study sought to understand the effects of different substrates and gas pressures on the TiO2 application method. We experimented with TiO2 particles and metals such as copper and aluminum, exposing them to varied gas pressures to delve deeper into the dynamics of cold spraying ceramics onto metallic surfaces. We utilized sophisticated instruments like the focused ion beam and the transmission electron microscope to scrutinize the interfacial structures of TiO2 particles with pure copper (C1020) as well as pure aluminum (AA1050). The data revealed that as we adjusted the gas pressure from 0.7 to 3.0 MPa, there was a corresponding increase in the coating\'s bond strength, registering between 1.52 to 3.46 MPa for C1020 and 0.45 to 4.15 MPa for AA1050. An ultra-thin amorphous oxide layer, under 5 nm in thickness, was detected at the juncture of TiO2 with both metals. The shift in process gas pressure emerged as a pivotal element affecting the bond strength of the TiO2 layer.
Abstract:To detect spoofing in e-Learning is of great significance in enhancing the reliability of e-learning systems and protecting the copyright of learning content. We propose a new method to detect spoofing in e-learning systems without causing inconvenience to the student\'s learning, based on the implicit face contrast in randomly selected time period during online learning. First, we show the web service model for the face recognition with message signature that can be used for the purpose of identifying learners in e-learning systems. Next, we propose a method to detect spoofing by implicit face recognition in a random time period during online learning. The application of the proposed method to the e-learning system using SOAP has shown that it can effectively detect the impostor without causing significant inconvenience to learners.
Abstract:A sudden increase in pore water pressure causes the effective stress to decrease significantly, which in turn causes a loss of shear strength and the subsequent outcome of allowing the soil to behave as a liquid, resulting in soil liquefaction. Agartala, the capital of Tripura, is located in northeastern India, and the entire region is considered seismically active according to the seismic zoning map of India as per IS 1893:2002 (Part 1); the entire region is classified as Zone-V. Significant earthquakes have struck this region, including the 1897 Shillong and 1950 Assam earthquakes. The city is vulnerable to liquefaction due to alluvial soil and a low groundwater table. Several parameters are involved in assessing liquefaction potential in the deterministic method and have different input parameter uncertainties, resulting in inconsistent outcomes. As a result, evaluating liquefaction susceptibility requires a thorough probability approach that considers parameter uncertainty. In this work, the soil liquefaction potential of Agartala City is assessed using fuzzy logic and compared to the conventional Reliability technique using the first-order second-moment method. Soil liquefaction potential was properly calculated using both approaches for the 71 boreholes in and around Agartala city. The outcomes are shown as contour maps representing spatial variations of the probability of liquefaction at different depths. In this study, Fuzzy logic is used to model the relationships between different soil parameters, which can help better understand the soil\'s behaviour during liquefaction. This developed method can assess the vulnerability of liquefaction potential and select appropriate materials and construction processes.
Abstract:Developing high quality learning contents (LCs) and improving their interactions in online learning with e-learning contents is important for greater cognitive abilities of a learner. The aim of this research is to design LCs with new self-feedback structure by considering the personalized characteristics of a learner in order to ensure his greater cognitive abilities through improved interactions. A new form of LCs is developed, which learning nodes consists of knowledge units of 5-10 minutes with each unit linked to assessment and control objects. The communication interface of the learning management system (LMS) is extended for a learner to support not only learning and navigation but self-assessment and repeated learning when interacting with LCs. Experiments were performed for three years to analyse the collected achievements of 376 online learners. The results show that the self-feedback is a significant factor that gives positive influence on the learner’s cognition during the COVID-19 pandemic. The average score of participants were increased by 0.2 than before 2020.
Abstract:The purpose of this article is to propose a range of natural-based external thermal insulation (ETI) \nsystems for the vertical walls of a residential building located in the Southwest region of Algeria \n(Bechar), which represents the real case of the majority of constructions existing in the area. To \nachieve this, a combination of thermal insulation systems was realized, using natural origin materials \nsuch as wood wool, cellulose wadding, expanded cork, hemp fiber, and sheep wool. The evaluation \nof energy consumption (heating and air conditioning) was carried out using a dynamic thermal \nsimulator \"TRNSYS\". In order to establish a precise estimate of the savings achieved and the payback \nperiod on investment, a techno-economic study was conducted for all the tested systems. The results \nobtained show a considerable efficiency of the proposed natural-based systems compared to \nsynthetic-based system for the thermal insulation of vertical walls, allowing significant energy \nsavings in the form of annual benefits while improving the energy performance of the studied building \nas well as the quality of life of its occupants.
Abstract:the building envelope can reduce heating and cooling consumption, if it is well thermally insulated from the outside. To do this, it is necessary to use eco-friendly materials, such as recycled materials, which could control the environmental impact. The objective of this work is not only to design sustainable designs for hot and arid climates, but also to have new thermal insulation systems based on recycled materials and fibers. In this regard, the systems studied were fixed to a simple concrete block wall, under cladding (dry process). The results showed the important role of insulation with recycled materials such as wood fiber from the outside. These results make it possible to evaluate the potential impact of ETIs based on recycled and natural materials in extreme conditions, highlighting the interest in maintaining summer comfort. Itï¿½s concluded that the use of recycled material can be enable to improving consumption energy. Also, the technical-economic analysis can be revealed, the technical feasibility of the systems studied and the economic impact of natural and recycled insulating materials compared to conventional polystyrene insulation.
Abstract:The concept of double-composed metric spaces was introduced by Ayoob et al [Mathematics 2023, 11, 1866]. In this paper, we establish some fixed and common fixed point results for generalized rational type contractions via certain control functions in the setting of double-composed metric spaces. Our results extend and improve the recent results in double-composed metric spaces, as well as some well-known results in the literature. And, we present nontrivial examples to support the validity of our results. Finally, we apply our result to prove the existence and uniqueness of solution for nonlinear integral equations.
Abstract:The effectiveness of blended learning from a multidimensional perspective is critical to reveal, as it helps teachers design or select appropriate teaching materials that adhere to the nature of instruction and students’ needs, interests, and learning styles. However, empirical scholarship attempts to exercise this importance is scarce. For that reason, this study is aimed at evaluating the effectiveness of blended learning from a multidimensional perspective, which includes attention, relevance, confidence, and satisfaction, by using the ARCS motivational design in one of the private universities in Indonesia. To examine the effectiveness, this study compared blending learning with full online instruction. Using one-shot case study (post-questionnaire survey) to university students who experienced the two different types of instructions, this study reveals interesting findings as follows. Blended learning was better in gaining the learning attentions of students and sustaining their learning engagement, providing a space for relevancy, the entanglement between content materials with the students’ background knowledge, and nurturing students’ confidence in fulfilling the tasks. Nevertheless, both types of instruction (blended and full online learning) could encourage students’ favorable attitude towards learning. Grounded based on these results, practical implications on blended learning instruction are provided.
Abstract:The study proposes and discusses a model for knowledge production and truth discovery under the rubric of hosting versus control. The proposed model shows that there are two types of knowledge production methods. The first method is to control the phenomenon by studying it by knowing the initial root of the phenomenon or what the study calls a bottom-up method. The second method is the method of knowing the maximum extent of the phenomenon or its final path, which is what the study calls the method from top to bottom. The first method is the dominant method, while the second method is the suggested method. The study highlighted several applications of the proposed method in the fields of exact sciences, social sciences, history, arts, identity and the like. The final result of the study is that the different ways of producing knowledge lead to the same truth, but the difference is in the mode of the phenomenon or the special law that governs the phenomenon