Faezeh Nejati; Milad Jiyan
Abstract
Improving buildings' behaviour by reducing lateral loads' effect is a new topic in earthquake engineering. It is based on reducing the energy applied to the structure through its depreciation. Structures can consume much energy in an earthquake due to their ductility. The use of energy-consuming systems ...
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Improving buildings' behaviour by reducing lateral loads' effect is a new topic in earthquake engineering. It is based on reducing the energy applied to the structure through its depreciation. Structures can consume much energy in an earthquake due to their ductility. The use of energy-consuming systems in buildings allows structural members to remain resilient. Therefore, this research investigates a combined neural network-based method for optimizing Added Damper and Stiffness (ADAS) dampers in steel buildings. Thus, the seismic behaviour of each is addressed by modelling a 15-story steel structure with steel bracing in at least four reinforcement modes with ADAS damper. The selection criterion of these structures is the study of high-rise structures, and the study of finding the optimal state of reinforcement with dampers is discussed. Incremental Dynamic Analysis (IDA) using at least ten accelerograms is used in this regard. In this regard, Etabs software is used for the initial design of structures, nonlinear analysis, and optimization of OpenSees and Matlab software. It was observed that in different types of dampers arrangement, different behaviour is observed in structures. Also, the type of mirrors if due to the different hardness and performance of each damper, also led to a change in the behaviour of the structures modelled in this study. Of course, what was observed so that it is not possible to say with certainty which mode leads to better performance in structures because the performance of all four types of attenuators is very close to each other. Still, it can be said that all dampers can be considered suitable improvement options according to the employer's conditions in terms of executive capability. Dampers increase the relative displacement of the floors by improving the structure's stiffness, thereby reducing structural and non-structural damage. Triangular Added Damper and Stiffness (TADAS) and ADAS dampers have good seismic behaviour, can withstand a large number of cycles, and can absorb a large amount of earthquake energy without loss of stiffness and resistance. The use of dampers in determining the overall and local response of the sample structures under the earthquake record will positively affect the reinforcement of the structures.
Dmitriy S. Vladislav
Abstract
Filter convention is the grouping directing conventions in remote sensor organizations. The benefit of LEACH is that every hub has same likelihood to be a group head, which causes the energy dispersal of every hub to be generally adjusted. Helped LEACH (A-LEACH) accomplishes decreased and uniform circulation ...
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Filter convention is the grouping directing conventions in remote sensor organizations. The benefit of LEACH is that every hub has same likelihood to be a group head, which causes the energy dispersal of every hub to be generally adjusted. Helped LEACH (A-LEACH) accomplishes decreased and uniform circulation of disseminated energy by isolating the assignments of routing and data aggregation. It tells the idea of helper nodes which contain Cluster Heads (CHs) for multi-bounce routing. The plans of the E-LEACH calculation, which increment the network lifetime, further develop hub energy use. Filter C is a bunch calculation wherein group heads are haphazardly chose from the hubs with energy over the normal, and the mimicked calculation is used to find the arrangement with better situation to decrease the energy loss of bunch heads. Q-LEACH for homogenous organizations which lay out solidness period, network life-time and throughput calm altogether. In this paper we have given a short audit of these procedures and thought about it.
Mingyue Wang
Abstract
Agriculture plays an important role within the growth and development of the planet. By the year 2050 world population is predicted to hit several 960 million. It’ll be needed to provide double the amount of food than currently being made. To fulfil the human needs, it'll be needed to revolutionize ...
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Agriculture plays an important role within the growth and development of the planet. By the year 2050 world population is predicted to hit several 960 million. It’ll be needed to provide double the amount of food than currently being made. To fulfil the human needs, it'll be needed to revolutionize a replacement agricultural era by introducing advanced technologies to the sphere and delivery them on a similar platform by victimization fashionable digital technologies. Agriculture is that the backbone of each country and economy. Smart Farming through IoT technology may empower farmers to upgrade gain going from the amount of manure to be accustomed quantity of water for irrigating their fields and additionally facilitate them to decrease wastage. And by using Artificial Intelligence [AI] sensors technology worldwide which helps yield healthier crops, track soil, manage pests, growing conditions, coordinate farmer’s data, help with the workload, and advance a wide range of agricultural tasks across the entire food supply chain.
Mahnaz Sotoudeh Bahreyni; Vahid Sattari-Naeini
Abstract
The new generation of wireless networks (LTE advance and WIMAX) supports many services that consume many resources (such as VOIP, video conference …). Adding multi-media services to wireless communication systems provide new challenges of resource allocation. This paper proposes a resource scheduling ...
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The new generation of wireless networks (LTE advance and WIMAX) supports many services that consume many resources (such as VOIP, video conference …). Adding multi-media services to wireless communication systems provide new challenges of resource allocation. This paper proposes a resource scheduling downlink algorithm for LTE networks. In the proposed algorithm for different types of services, priorities are defined to guarantee transitions of GBR services that need high QoS. This method also considers channel quality and buffer status to achieve higher throughput for non-GBR services. The proposed algorithm is simulated and compared with the proportional fair algorithm. Simulation results show that the suggested algorithm can increase system throughput and QoS of real-time services at the cost of a certain amount of throughput and QoS of non-real times.
Mehrdad Navabakhsh; Nasser Shahsavari Pour
Abstract
Until the 1980s, the system for assessing the performance of organizations with specific structures has been based on economic and financial indexes. The previous methods that were frequently used for performance assessment were mainly focused on the economic-financial aspects of the organization. However, ...
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Until the 1980s, the system for assessing the performance of organizations with specific structures has been based on economic and financial indexes. The previous methods that were frequently used for performance assessment were mainly focused on the economic-financial aspects of the organization. However, at present, due to vast human needs, sensitive cognitive, fundamental parameters in social organizations that are based on realities, are very effective, and meet scientific criteria have come into vogue. These parameters rely on experience, observation, experiment, hypothesis, and theory. Balanced Scorecard (BSC) seeks to make a balance between financial and economic objectives as outcomes of past performance (past-oriented indexes) and three indexes of customer processes, learning and growth, and development of human and social forces (future-oriented).Data Envelopment Analysis (DEA) is a non-parametric method for measuring the outputs or efficiency of homogeneous units with different inputs and outputs. However, in cases where there are numerous inputs and outputs with some similarities, their efficiency can be measured by two-level DEA, i.e., classifying them and using common weights.In primitive social institutions, the inputs of social systems are mainly limited and clear. However, in modern, complex, standardized systems, the input is both expanded and diversified. Therefore, in this paper, we have tried to use BSC as an instrument for designing performance assessment indexes and two-level DEA as an instrument for measurement.
Reza Rasinojehdehi; Goran Cirovic
Abstract
In recent years, there has been a surge in research exploring the potential of Machine Learning (ML) for predicting water pump failures. While some studies have focused on supervised approaches, others have delved into unsupervised methods. However, the challenge lies in identifying the key variables ...
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In recent years, there has been a surge in research exploring the potential of Machine Learning (ML) for predicting water pump failures. While some studies have focused on supervised approaches, others have delved into unsupervised methods. However, the challenge lies in identifying the key variables crucial for accurate failure predictions. This study bridges this gap by consulting domain experts to discern essential variables, including water catchment area level, water quality index, lubrication frequency, water reservoir temperature, operating time, and power interruptions count. Employing supervised ML methods, specifically multiple regression and decision tree cart, the research aims to enhance the precision of failure predictions, shedding light on less-explored variables that play a significant role in pump failure.
Rashid Ali; Ashfaq Ahmad; Ijaz Ahmad; Asad Ali
Abstract
This paper proposes two modified generalized Gauss-Seidel iteration techniques to determine the Absolute Value Equations (AVEs). Convergence of the new techniques is established under some appropriate conditions lastly; several numerical examples verify the significance of the techniques.
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This paper proposes two modified generalized Gauss-Seidel iteration techniques to determine the Absolute Value Equations (AVEs). Convergence of the new techniques is established under some appropriate conditions lastly; several numerical examples verify the significance of the techniques.
Nasim Ekram Nosratian; Mohammad Taghi Taghavi Fard
Abstract
Supply Chain Management (SCM) is an integrated system of planning and control of materials and information, including suppliers, manufacturers, distributors, retailers, and customers. Chain performance measurement is an important issue in SCM. Also, given that the information plays a key role in improving ...
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Supply Chain Management (SCM) is an integrated system of planning and control of materials and information, including suppliers, manufacturers, distributors, retailers, and customers. Chain performance measurement is an important issue in SCM. Also, given that the information plays a key role in improving supply chain performance, the kind and amount of information sharing should be investigated. In this paper, the effect of information sharing on supply chain performance will be evaluated. In this way, 17 different scenarios of information sharing are defined and ranked using the cross-efficiency method. Finally, values for different scenarios using simulations and Rockwell Software Arena V5 are reported. The obtained results show that the proposed model is quite valid and efficient and can be easily applied to real-world cases.
Alhanouf Alburaikan
Abstract
Consumption of power is essential for the sustainability of future generations. The constant developing world makes everyone run beyond the capabilities and to meet the needs of the growing world. Conservation of electricity is the least concern of the today’s man. Concern to this problem, automated ...
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Consumption of power is essential for the sustainability of future generations. The constant developing world makes everyone run beyond the capabilities and to meet the needs of the growing world. Conservation of electricity is the least concern of the today’s man. Concern to this problem, automated street light system can play a part in the electricity guard. The street light is combined with Light Dependent Resistor (LDR) to make it automatically identifying the range of visible light and perform decision making whether to turn on or turn off the light.
Laxmi Rathour; Dragan Obradovic; Shiv Kant Tiwari; Lakshmi Narayan Mishra; Vishnu Narayan Mishra
Abstract
Developing students’ educational abilities has always been one of the most urgent. The more fully a student's potential is realized, the more success a person will be able to achieve in life and career. One of the effective technologies for activating learning is the method of visualizing educational ...
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Developing students’ educational abilities has always been one of the most urgent. The more fully a student's potential is realized, the more success a person will be able to achieve in life and career. One of the effective technologies for activating learning is the method of visualizing educational information. The history of visualization in mathematics education is very long. Since the beginning of the year 1980s, mathematics professors have been interested in the practical challenges of teaching visualization, in the visualization of mathematics as an exhibit in school or in accordance with educational psychology, and are looking for theoretical frameworks.
Salwa Abdou El-Morsy
Abstract
Zero-Base Budgeting (ZBB) is a very well-known method for the selection and management of budgets and is widely used by companies and government agencies. In this paper, a new method for modelling ZBB in fuzzy environment is described. Triangular fuzzy numbers are used for describing the imprecise budget ...
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Zero-Base Budgeting (ZBB) is a very well-known method for the selection and management of budgets and is widely used by companies and government agencies. In this paper, a new method for modelling ZBB in fuzzy environment is described. Triangular fuzzy numbers are used for describing the imprecise budget data. In addition, an alternative approach is proposed for people who need to be more precise in their requirements. The efficiency of the proposed method is illustrated by numerical example using triangular fuzzy numbers and possibility theory.
Hadi Faghihmaleki; Akbar Deilampour
Abstract
A wide range of cities in the country and especially big cities are facing complex issues and problems in the areas of urban poverty, lack of safety, lack of infrastructure and services, structural instability of buildings and identity crisis. So far, many efforts have been made to change the existing ...
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A wide range of cities in the country and especially big cities are facing complex issues and problems in the areas of urban poverty, lack of safety, lack of infrastructure and services, structural instability of buildings and identity crisis. So far, many efforts have been made to change the existing conditions of these areas and neighborhoods by the country's government and municipalities, but unfortunately, the process of their environmental, social and economic decline has continued or has been raised in other statuss. The necessity of applying the urban regeneration approach to the highest levels of urban development planning (comprehensive urban development plans) was taken into account due to the existing gaps in responding to the issue of improving the quality of life in these plans, and the lack of alignment of their content with the plans for organizing inefficient urban areas due to the existing gaps in responding to the issue of improving the quality of life in the current development plans and programs of the government and municipalities (comprehensive urban development plans) and also the lack of alignment of their content with the plans for organizing inefficient urban areas. According to this necessity, the Iran urban development and improvement company has put on the agenda to revise the conventional master plans by conducting applied research by compiling the service description of "comprehensive urban regeneration plan". The urban regeneration approach with a comprehensive and specific view of the city should guide the development of human, financial and material resources in the city towards social development (sustainability and identity of societies), by using economic and institutional capacities and in a context of actualized capacities. natural and environmental and by using the published guidelines and localizing it according to the unique characteristics of the city under study by creating an environment that can be rationalized and by avoiding stereotypes and preconceived encounters and by relying on the city's exclusive database derived from the capacities its environmental, social, economic, cultural and institutional.
Antônio Clécio Fontelles Thomaz
Abstract
Cultivating creations are a fundamental work in modern and for business. The web of things has the ability to change over the techniques we stay in the widespread. We have extra viable assembling, more noteworthy related vehicles, and smoother municipalities, a ton of these as kinds of a coordinated ...
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Cultivating creations are a fundamental work in modern and for business. The web of things has the ability to change over the techniques we stay in the widespread. We have extra viable assembling, more noteworthy related vehicles, and smoother municipalities, a ton of these as kinds of a coordinated web of things framework. Smooth farming by means of the use of web of things advances will assist agriculturalists with limiting delivered wilds and further develop productivity. That can emerge out of how much fertilizer that has been applied to the wide inconstancy of endeavors the ranch vehicles have totaled. Thus, brilliant lacking is basically a welcome tech gadget of arising food this is even and is viable for the groups. The utilization of Data Innovation (IT) and things like sensors, self-fundamental cars, programmed equipment, work developments, robotization, etc. on this technique are key instruments. In this paper we examine how horticulture fields are benefitted from web of things developments. We encased the point by point web of things Requesting in Agribusiness and the way they're useful. This paper gives a sign of the current condition and future computations of web of things requesting in Horticulture.
Jiahua Fang
Abstract
This review also looks at the various environmental characteristics that can be used to achieve precision agriculture, such as irrigation, monitoring, soil qualities, and temp, Furthermore, a thorough investigation is carried out on various crops that are covered by WSN technology. The numerous communication ...
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This review also looks at the various environmental characteristics that can be used to achieve precision agriculture, such as irrigation, monitoring, soil qualities, and temp, Furthermore, a thorough investigation is carried out on various crops that are covered by WSN technology. The numerous communication technologies and sensors available for PA are also highlighted in this review. Several research questions were developed to examine the influence of WSNs in the agricultural area, and we attempted to discover answers to these research questions through this revised. Compared to the being IoT grounded husbandry and husbandry results, the propose result reduces network quiescence up to a certain extent. In this, a cross sub caste grounded channel access and routing answer for looking and actuating is proposed. We dissect the network structure grounded on content range, and quiescence. In the process of improving GDP of the country agriculture is the main part.
Seyyed Ahmad Edalatpanah; Darko Bozanic
Abstract
Smoothing (filtering) of data is a major problem in engineering and science. In this paper, the smoothing of data arising in modelling and decision-making problems is considered. Firstly, the conventional smoothing and filtering problem and its extension to a fuzzy situation are introduced.
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Smoothing (filtering) of data is a major problem in engineering and science. In this paper, the smoothing of data arising in modelling and decision-making problems is considered. Firstly, the conventional smoothing and filtering problem and its extension to a fuzzy situation are introduced.
Sahand Abdinematabad; Roghaye Ebadikhah; Mehdi Pourabdollah; Reza Rasinojehdehi
Abstract
This study embarks on a data-driven exploration to understand the perceptions of overseas residents regarding the development of tourism in Qingdao, a significant coastal city in China. Despite the pivotal role of tourism in regional economic growth, the views of foreign residents, who can act as cultural ...
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This study embarks on a data-driven exploration to understand the perceptions of overseas residents regarding the development of tourism in Qingdao, a significant coastal city in China. Despite the pivotal role of tourism in regional economic growth, the views of foreign residents, who can act as cultural ambassadors, have been relatively underexplored in existing literature. This research fills this gap by conducting a comprehensive questionnaire survey among Qingdao's overseas community. The survey aims to gather insights into the economic, socio-cultural, and environmental impacts of tourism as perceived by this unique demographic. The study utilizes advanced computational methods to analyze the collected data, offering a nuanced understanding of how variables such as age, income, and personal connections to tourism influence these perceptions. The findings reveal diverse viewpoints, shaped by various demographic factors, highlighting the complexity of tourism impact assessment from the perspective of foreign residents. This research contributes to the broader discourse on sustainable tourism development, providing valuable inputs for policymakers and stakeholders in Qingdao to tailor tourism strategies that are more inclusive and representative of all residents' views. The results have broader implications for understanding the role of foreign residents in shaping the tourism landscape in global destinations.
Asif yousuf Wani; Rubeena Khaliq; Nazia Kousar; Sarika Pundir
Abstract
This review provides an overview of the medicinal plant Cordia myxa (Boraginaceae), its pharmacognostic profile, traditional uses, and various medicinal importance in various aspects of medicinal science and recent developments in novel drug delivery. Recent trend of people shifting to natural products ...
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This review provides an overview of the medicinal plant Cordia myxa (Boraginaceae), its pharmacognostic profile, traditional uses, and various medicinal importance in various aspects of medicinal science and recent developments in novel drug delivery. Recent trend of people shifting to natural products from synthetic ones opens up numerous ways of research in the field of natural products in drug therapeutics. This shift provides a wide range of options for designing natural product-based drugs with minimal side effects. Cordia myxa is a rich source of alkaloids, resins, terpenoids, coumarins, gums, etc., providing a wide range of activities. Cordia myxa is being investigated in various aspects other than medicinal purposes, viz. nutritional, medical dressing, supplements, etc. Cordia myxa is an ethnomedicinal plant in different world regions, including India. Traditional people utilized it for various purposes, viz. respiratory issues, making pickles, an alternative to paper glue, dyspepsia, fever, etc. Cordia myxa revealed various chemical components, proving its medicinal importance. Evaluation of pharmacological and therapeutic activities confirmed the Cordia myxa plant's hypotensive, respiratory stimulant, anti-inflammatory, antimicrobial, diuretic and immunomodulatory properties. In this review, we summarized the available published information on Cordia myxa and also discussed the enormous potential to serve as a drug candidate.
Seyyed Ali Nourkhah; Goran Cirovic; Seyyed Ahmad Edalatpanah
Abstract
Smart agriculture, also known as precision agriculture, allows farmers to maximize yields using minimal resources such as water, fertilizer, and seeds. By deploying sensors and mapping fields, farmers can begin to understand their crops at a micro scale, conserve resources, and reduce impacts on the ...
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Smart agriculture, also known as precision agriculture, allows farmers to maximize yields using minimal resources such as water, fertilizer, and seeds. By deploying sensors and mapping fields, farmers can begin to understand their crops at a micro scale, conserve resources, and reduce impacts on the environment. Smart agriculture has roots going back to the 1980s when Global Positioning System (GPS) capability became accessible for civilian use. Once farmers were able to accurately map their crop fields, they could monitor and apply fertilizer and weed treatments only to areas that required it. During the 1990s, early precision agriculture users adopted crop yield monitoring to generate fertilizer and pH correction recommendations. As more variables could be measured and entered into a crop model, more accurate recommendations for fertilizer application, watering, and even peak yield harvesting. Throughout the long term, shrewd cultivating has become valuable to all ranchers - little and huge scope.
Seyyed Esmaeil Najafi; Dragan Marinkovic; Nenad Komazec
Abstract
This study investigates how wireless sensor network (WSN) applications in agriculture arediscussed in the current academic literature.The Wireless Sensors Network (WSN) is nowadays widely used to build decision support systems to overcome many problems in the real-world.Using the basic principles of ...
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This study investigates how wireless sensor network (WSN) applications in agriculture arediscussed in the current academic literature.The Wireless Sensors Network (WSN) is nowadays widely used to build decision support systems to overcome many problems in the real-world.Using the basic principles of Internet and WSN technology, precision agriculture systems based on the internet of things (IOT) technology is explained in detail especially on the hardware architecture, network architecture and software process control of the precision agriculture system.The software monitors data from the wireless sensors,but the implementation of wirelesssensor network(WSN) will optimise the useage of water fertilizer and also maximized the yield of crops.Now-a-days the climatic conditions are not same and predictable.There are many ways to cultivate a healthy cropsin a year.but it requires a lot of manpower involved which is burden now a days.in order to make it smart,simpleand give correct input to the corp,here we are designing a wireless sensor network for smart agriculture.
Javad Pourqasem; Duško Tešić; Eisa Abdolmaleki
Abstract
Smart water for the quality monitoring is to be gaining in importance with a advancements in communication technology. The Web of Things (IoT) gets the associations among different gadgets with the capacity to trade and getting information. IoT additionally stretches out its ability to ecological issues ...
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Smart water for the quality monitoring is to be gaining in importance with a advancements in communication technology. The Web of Things (IoT) gets the associations among different gadgets with the capacity to trade and getting information. IoT additionally stretches out its ability to ecological issues notwithstanding the computerization industry by utilizing industry 4.0. As water is one of the fundamental necessities of human endurance, it is expected to consolidate some instruments to screen water quality from the opportunity to time. Around 45% of passing’s are caused because of defiled water on the planet. Subsequently, there is a need to guarantee the supply of filtered drinking water for individuals both in urban areas and towns. Water Quality Monitoring is a practical and proficient framework intended to screen drinking water quality that utilizes Internet of Things (IoT) innovation. In this paper, the proposed framework comprises a few sensors to gauge different boundaries, for example, pH esteem, and turbidity in the water, level of water in the tank, temperature, and mugginess of the encompassing air. And for more, information the Microcontroller Unit (MCU) is connected to these sensors and handled with a Personal Computer (PC). The got information is shipped off the cloud by utilizing IoT based Think Speak application to screen the nature of the water.
Soheil Fakheri; Nenad Komazec; Hashem Saberi Najafi
Abstract
In this paper named IOT based river water quality monitoring gives the outcome of quality river of water by the advantage of various advanced techniques Internet of Things, Wireless Sensor Network. As part of this we have made the things to collect the data and transfer the data to the software that ...
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In this paper named IOT based river water quality monitoring gives the outcome of quality river of water by the advantage of various advanced techniques Internet of Things, Wireless Sensor Network. As part of this we have made the things to collect the data and transfer the data to the software that we have made. Then the data that we collect using various equipment and be analyzed using the software that we have designed. Other than that, the hardware of the system, data visualization, software, we automate the process of monitoring This water quality monitoring system has been the major issue and can be use the digital, intelligent, and effectively gives the quality of river water.
Muhammad Kamran; Aamir Hussain Khan; Zeeshan Anwar; Aiman Ishtiaq; Anns Uzair; Shanzay Noor Khan; Sawaira Saeed; Sajid Ali; Saara Fatima; Ajwa Faisal; Baqir Hussain; Misbah Rasheed; Saba Mehmood
Abstract
In the last few decades, nanomaterials have found widespread application in a variety of industries, including electronics, building, food processing, pharmaceuticals, cosmetics, and aviation. These nanoparticles could enhance medical therapy, diagnostics, and preventive methods. These days, drug delivery ...
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In the last few decades, nanomaterials have found widespread application in a variety of industries, including electronics, building, food processing, pharmaceuticals, cosmetics, and aviation. These nanoparticles could enhance medical therapy, diagnostics, and preventive methods. These days, drug delivery and cellular imaging are two applications of benzonoid systems in biotechnology and medicine. Non-kekulean benzoid hydrocarbons offer a great way to evaluate the structural characteristics of their series due to their regular structures. This work involves the computation of several degree-based topological indices that are helpful in figuring out how reactive the associated molecules are. In particular, we found these calculations to be helpful in examining the thermodynamic parameter entropy, which could be important for successfully reworking the structure of non-kekulean benzoid hydrocarbons.
Muhammad Abid; Madiha Bibi; Nasir Yasin; Muhammad Shahid
Abstract
Accurate numerical solution of parabolic and elliptic partial differential equations governing two-dimensional heat transfer is critical for engineering simulations but computationally challenging.This work employs key numerical techniques finite differences, conjugate gradients, and Crank-Nicolson ...
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Accurate numerical solution of parabolic and elliptic partial differential equations governing two-dimensional heat transfer is critical for engineering simulations but computationally challenging.This work employs key numerical techniques finite differences, conjugate gradients, and Crank-Nicolson time stepping to solve the heat diffusion equation and analyze method performance.The Poisson equation is discretized using second-order central finite differences and solved with the conjugate gradient approach to determine the steady state solution. The transient heat equation is integrated in time via the Crank-Nicolson implicit scheme, also utilizing conjugate gradients.The methods effectively compute solutions matching analytical and boundary conditions. Convergence and stability are achieved while capturing transient thermal evolution. Insights are gained into discretization and iteration parameter impacts.The numerical framework demonstrates accurate and efficient simulation of two-dimensional conductive heat transfer. It provides a template for extension to more complex geometries and multiphysics phenomena, contributing to advances in computational engineering.
Aqib Zafar; Shyam Sundra Santra; Muhammad Nasir
Abstract
In this article, Cubic Trigonometric B-Spline Collocation technique is used to solve Modified
Equal Width (MEW) Wave equation with application. The proposed scheme of major equation
is tested by three ways: Single Soliton Wave, train of Solitary Waves and final birth solution. The
efficiency and validity ...
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In this article, Cubic Trigonometric B-Spline Collocation technique is used to solve Modified
Equal Width (MEW) Wave equation with application. The proposed scheme of major equation
is tested by three ways: Single Soliton Wave, train of Solitary Waves and final birth solution. The
efficiency and validity i.e, of proposed method is checked by different time levels. The present
scheme is implemented to find out three invariants quantities and two error L2 and L1 norms.
The given scheme is stabled via Von Neumman method. The obtain results are improved from
earlier results. Some examples are listed to show the effusiveness and validity of the main results.
Dipak Dulal; Ramin Goudarzi Karim; Carmeliza Navasca
Abstract
In this paper, we use tensor models to analyze the Covid-19 pandemic data. First, we use tensor models, canonical polyadic, and higher-order Tucker decompositions to extract patterns over multiple modes. Second, we implement a tensor completion algorithm using canonical polyadic tensor decomposition ...
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In this paper, we use tensor models to analyze the Covid-19 pandemic data. First, we use tensor models, canonical polyadic, and higher-order Tucker decompositions to extract patterns over multiple modes. Second, we implement a tensor completion algorithm using canonical polyadic tensor decomposition to predict spatiotemporal data from multiple spatial sources and to identifyCovid-19 hotspots. We apply a regularized iterative tensor completion technique with a practical regularization parameter estimator to predict the spread of Covid-19 cases and to find and identify hotspots. Our method can predict weekly, and quarterly Covid-19 spreads with high accuracy. Third, we analyze Covid-19 data in the US using a novel sampling method for alternating leastsquares. Moreover, we compare the algorithms with standard tensor decompositions concerning their interpretability, visualization, and cost analysis. Finally, we demonstrate the efficacy of the methods by applying the techniques to the New Jersey Covid-19 case tensor data.