Browse Items (2150 total)
Sort by:
-
Artificial Intelligence in Data-Driven Analytics for the Personalized Healthcare
Among the various developments in progress over the last decade, we have seen the generous growth of information investigation to take care of, plan, and use a lot of information beneficially. Be that as it may, because the analysis of evidence will only operate for authentic information and have findings as predefined by individuals, explicit principle-based calculations have been developed to broaden the investigation of information, 'Which is usually referred to as 'AI'. AI didn't expect PCs to be personalized unambiguously, which is a definite bit of leeway. In order to break down information and construct complicated equations to foresee models, which was called prescient analysis, AI was then joined with information inquiry. A set of laws characterized by persons, known as prescient equations, drive the prescient inquiry, and are used to break down genuine knowledge in order to predict potential outcomes. 2021 IEEE. -
Tracking and Localization of Devices - An IoT Review
S everal IoT applications have immediate impacts on daily lives. The notion of "connected life, which includes IoT has been discussed. Apps that rely on localization are also featured. IoT is originally used to determine the precise position of things, animals, and people. The second tracks everyone and everything that's on the move, including pets, kids, and the elderly people. Localization and tracking are integral parts of security and surveillance systems in interconnected homes. This study reviews the state-of-the-art IoT-based localization and tracking approaches and outlines the key technical aspects, and contrast localization initiatives based on Internet of Things (IoT) with those that do not show how they might be used in a variety of contexts. It is now well established that localization and tracking methods based on the Internet of Things (IoT) are more pervasive and accurate than their predecessors. 2023 IEEE. -
Heart Disease PredictionA Computational Machine Learning Model Perspective
Relying on medical instruments to predict heart disease is either expensive or inefficient. It is important to detect cardiac diseases early to avoid complications and reduce the death rate. This research aims to compare various machine learning models using supervised learning techniques to find a better model that gives the highest accuracy for heart disease prediction. This research compares standalone and ensemble models for prediction analysis. Six standalone models are logistic regression, Naive Bayes, support vector machine, K-nearest neighbors, artificial neural network, and decision tree. The three ensemble models include random forest, AdaBoost, and XGBoost. Feature engineering is done with principal component analysis (PCA). The experimental process resulted in random forest giving better prediction analysis with 92% accuracy. Random forest can handle both regression and classification tasks. The predictions it generates are accurate and simple to comprehend. It is capable of effectively handling big datasets. Utilizing numerous trees avoids and inhibits overfitting. Instead of searching for the most prominent feature when splitting a node, it seeks out an optimal feature among a randomly selected feature set in order to minimize the variance. Due to all these reasons, it has performed better. 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. -
A Review of Optimization Algorithms Used in Proportional Integral Controllers (PID) for Automatic Voltage Regulators
The voltage in electrical grids is maintained at its nominal value by automatic voltage regulators (AVR). In AVR systems, proportional-integral-derivative (PID) is the most popular controllers due to their robust performance and simplicity. Controlling the parameters of proportional-integral-derivative (PID) controllers, which are used in AVR technology, is a nonlinear optimization problem. Optimization issues are of great importance to both the industrial and scientific worlds. A PID controller's objective function is designed to minimize the settling time, rise time, and overshoot of the step response of the resultant voltage. This paper presents the performance comparison of six optimization algorithms such as Enhanced Crow Search Algorithm (ECSA-PID), Slime Mould algorithm (SMA-PID), Future Search Algorithm (FSA-PID), Whale Optimization Algorithm (WOAPID), Equilibrium Optimizer (EO-PID) and Archimede's Optimization algorithm (AOA-PID) used in recent literatures. The Electrochemical Society -
Global Governance of Artificial Intelligence: Ethical, Legal Challenges and Changes in Economy and Business
Artificial intelligence (AI) and global governance are an inclusive platform to discover the policy challenges worldwide augmented by artificial intelligence. The platform has three predominant subjects: AI and the global order, governance of AI, insights on the platform consider for mapping of AI futures. AI has great impact in revolution of geopolitical order and the reaction of multifaceted organizations which minimize AI risks and unpremeditated significances and its social aids are maximized through governance structures. It focusses on setups, collaborations, and tensions between different actors responsible for plan, deployment, support and governance of AI. AI improves the benefit for human well-being, productivity, social good, and safety with substantial risks for workers, developers, firms, and governments. The actors and organization begin to realize the ethical, legal, and regulatory challenges associated with AI. 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. -
Harnessing nanotechnology applications and solutions for environmental and climate protection-an overview
Nanotechnology is an emerging technology that has drawn considerable interest from environmentalists. Numerous nano techniques identify Nanotechnology applications as having the potential for imperative advantages and innovation. This work offers a wide-overview of the main beliefs that strengthen s nanotechnology. We focus on the potential applications of nanotechnology for environmental protection and management by thoroughly reviewing past literature. To our understanding, this is an academic, peer-reviewed work to deliver a systematic review of nano-activities in the areas of environmental and climate protection. Our study has been systematically arranged into two different groups (1) Potential applications of nanotechnology in r environmental protection and (2) The best part of Nanotechnology that combats Climate Change. For each of these cases, our contribution is twofold: First, in identifying the technical ways by which nanotechnology can solve environmental risks, and secondly, in briefly presenting its potential advantages. The paper ends with deliberation of challenges and operational barriers that technology needs to overcome to prove its commercial viability and for being adopted for commercial use. 2021 Author(s). -
Unlocking the potentials of using nanotechnology to stabilize agriculture and food production
In the face of alarmingly increasing climate change, agricultural sector is exposed to innumerable and unprecedented challenges globally. This has led to food insecurity worldwide and in order to achieve the required food security at the global level, various methods and techniques have been put forth by researchers from around the world for boosting crop production and ensuring sustainability. Advanced nano-engineering is found to be of great import in improving production in agriculture and increasing input efficiency and minimization of losses. The fertilizers and pesticides, used for increasing and protecting the crop production respectively, can gain not only specific but also wider surface area with the help of nanomaterials, which serve as exclusive agrochemical carriers and assure facilitation of nutrients to target areas with the help of delivery monitoring techniques. Nanobiosensors, an example of the wide ranging nanotools, scaffold the growth of high-tech agricultural farms and also stand proof for the practical and proposed applications of the nanotools in terms of agricultural inputs control and their management precision. Nanosensors the off-spring of the culmination of biology and nanotechnology has an increased potential level in sensing and identifying both the advantageous and adverse conditions of the environment. The other applications of nano-technology include nanofertiliers with release-control techniques for healthy growth and rich yield and productivity of crops, nano-based target delivery approach, also referred to as gene transfer technique, for improved quality of crops, nanopesticides for effective protection of crops and other nanomaterials for promotion of stress tolerance among plants and enhancement of quality of soil [4]. In our review paper, we intend sum up the recent research and studies on the nanotechnology's innovative uses in agriculture to cope up with the ever-increasing necessity for food and sustenance of environment. 2021 Author(s). -
Unraveling the Potential of Artificial Intelligence-Driven Blockchain Technology in Environment Management
Blockchain as an emerging technology provides a ray of hope to the most intensive environmental issues facing the planet. Blockchain with its decentralized business model has great relevance not only in the field of finance but also in environmental sustainability. The World Economic Forum has identified blockchain as a repair mechanism to the most challenging global environmental issues. It is a highly promising technology gaining traction in diverse fields. Blockchain through this technology unveils its capabilities as a decentralized ledger of all dealings across peer-to-peer networks, where participants can ratify transactions without any central authority. Blockchain technology is an indestructible electronic ledger of transactions designed to record and store everything of value in addition to financial transactions. Blockchain can ensure a shift to cleaner and more resource conserving decentralized solutions, unravel natural capital and to empower communities. This chapter attempts to study the applicability of blockchain in protecting and sustaining the global environment at various levels including life on land, life below the earth and climate changes. Deployment of blockchain technology is needed in areas like climate change, biodiversity conservation and healthy water bodies to overcome the threats they face. 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. -
Broad-spectrum of sustainable living management using green building materials-an insights
Owing to the recurrent modifications in the lifestyle and demands of humans the regular life of buildings is decreasing whereas the demolition or renovation of the buildings increases. Building materials and their components ingest just about 40 percent of world-wide vigour per annum in their life segments such as fabrication and procurement of building materials, construction and demolition. The development of the construction industry completely relies on the deployable resources. To abate the consumption of construction materials in current years, the construction industry has established an environmental track, which wishes to use naturally available materials. Reviving such technology, further developing this technology green building materials are paramount for constructing green buildings. Such a green-building constructional model does not require energy contributions frequently for production. The advantage of reducing the energy used in manufacturing, increases strength. Green Building material is one which utilizes less water, optimizes energy efficiency, conserves natural resources, generates less waste, produces less carbon dioxide emissions and provides improved space for inhabitants as compared to conventional buildings. It includes environmental, economic, and social benefits as well. This paper aims to provide knowledge about some of the green building materials that help for sustainable living. These elucidations can obligate a significant influence in contemporary construction owed to the escalation in the charges of traditional construction materials. 2021 by the Authors. -
An overview of nanomaterial technologies in the management of wastewater treatment
Nanomaterials are the foundation stone of nanotechnology. It is a broad and trans disciplinary section of exploration. Its developmental commotion has been rising intensively across the world in the last few years. Applications of nanotechnology are abundant in various fields like medicines, electronics, machines, and so on. This paper describes one such application that is nanotechnology in wastewater treatment viz nanosorption, nanophotocatalysis and Nano membrane technology. The Nano compounds engaged in such treatments have been discussed here. As of now the world is in distress from the non-Availability of drinking water and even the very existence of drinking water in nature are becoming toxic due to the addition of chemicals and heavy metals by man-made and by natural happenings as well. The distinctive properties of nanomaterial such as surface area, competent to toil at required and even at low concentration and their potential have prodigious prospects to reform wastewater treatment. Carbon based nanomaterial, metal oxide nanomaterials and nanomebranes have been discussed at this juncture. There are several disputes in treating wastewater with nanomaterials such as insufficient information about the nanomaterial. Still researchers have a lack of knowledge about how these materials are travelling and the effect of nanomaterial on human health. Though the nanostructured catalytic membranes, Nano sorbents and nanophotocatalyst are the established methods to eliminate water pollutants from wastewater, they need more energy and additional investment. 2021 Elsevier Ltd. All rights reserved. -
Reimagining the Digital Twin: Powerful Use Cases for Industry 4.0
Novel cohorts of information technologies are transformation and upgrading the global manufacturing sector. The analysis of product procedure in discrete globe might furnish significant perceptions resting on scheme routine which may change manufacturing product design. Digital twin predictive analysis on both historical and future performances of an organizations physical resources leading to proficient industry functioning. In digital twin, cloud-based virtual image of industrial asset is maintained throughout the lifecycle which can be accessed at any time. Digital twin enhances the degree and functions of manufacturing world by integrating with the physical world. 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. -
Envisioning the potential of Natural Language Processing (NLP) in Health Care Management
Natural Language Processing (NLP) continues to play a strategic role in disease detection, intensive care, drug discovery and control of mushrooming infections during the current pandemic. It energizes chat programs to reduce outbreaks during the initial stages of coronavirus infection. NLP technologies have reached new heights in terms of utility, and are at the heart of the success of a multilingual conversation system, and Deep learning language models. It supports more languages around the world. NLP powered AI such as Health map and Copweb platforms track patient requests and perform incident detections. This study looks at the role of NLP and its technologies, challenges, and future possibilities using AI and machine learning for crisis mitigation and easier electronic health records (EHRs) maintenance in the health care industry. This research work explores the strategic approach and potential of NLP which maximizes the value of the EHR and healthcare data, making data a critical and trusted component in improving health outcomes 2021 IEEE. -
Impact of air pollution in health and socio-economic aspects: Review on future approach
Air contamination is mainly induced by human activity and environmental pollution. Consumption of Air pollution in fewer amounts leads to a significant range of harmful effects on public safety. Nevertheless, with the accelerated pace of economic growth and modernization and the high quantity of electricity need results in huge amounts of pollutants and waste creates significant air pollution. The latest research has shown that because humans only use a tiny part of their day to drive, their constant air quality intake is primarily attributed to the commuting microenvironment. The nature of life on this planet is dependent on clean air. This article presents the literature to include a review of the effect on different facets of human existence of air emissions. The effect is narrowly classified into health and climate change. The study shows that air contamination has a broad variety of consequences, from infectious illnesses and life-threatening disorders and the breakdown of particular organ systems and psychological health. There is no question that this problem has to be addressed with the utmost focus. Such results should be used to prompt further work and to deliver clean air initiatives to officials. 2020 Elsevier Ltd. All rights reserved. -
Rational suitability of low cost activated carbon in removing hexavalent chromium ions from wastewater by uninterrupted mode of adsorption
Heavy metals such as chromium, lead, arsenic and others are dense metals whose contamination of water may exterminate life on earth at the niche in industrial activities, foodstuffs or medicines and so on. Activated carbons are very helpful in removing heavy metal ions from aqueous solutions by adsorption, and have been investigated by many researchers so far. The practical relevance of activated carbon made from de oiled soya in the removal of hexavalent chromium ions through continuous adsorption mode is reported in this paper. A breakthrough plot was plotted in finding the effect of initial concentration and adsorbent bed height in the adsorption of hexavalent chromium through activated carbon of de oiled soya. The breakthrough time and saturation time increased as the concentration of the initial solution shot up from 40 mg/L to 60 mg/L. The saturation time was in an incremental mode when the thickness of the adsorbent bed height in a fixed bed was increased from 5cm to 7cm for 40 mg/L initial concentration of hexavalent chromium. The Adams-Bohart's model was found to fit perfectly the fixed bed column in the removal of hexavalent chromium from aqueous solutions. The fabricated adsorbent worked well in detoxifying hexavalent chromium metal ion contaminated wastewater. 2020 Published under licence by IOP Publishing Ltd. -
Behavioural Intention towards adoption of Robotic Accounting for a profitable leading digital transformation
Leading digital transformation accelerates impactful changes in business environments and work places and helps them thrive in this age dominated by physical, emotional, and financial disruptions. This is very much evident during the pandemic-induced current economic climate; the Robotic Process Automation (RPA) industry has been found to grow at an exponentially increasing rate throughout 2020, and based on the response towards it, it can be logically predicted that this trend will continue to be in vogue for several years into the future. The use of RPA technology enables auditing firms to not only automate business processes but also significantly improve the way the company currently completes tasks. In view of the above, the present study focuses on the nature of digital automation of business processes in auditing firms using RPA and its impact on revenue management and client engagement. The study proposes to make use of qualitative research methods and also aims to theorize the role of various antecedents that develop a strong intention among the auditing firms to adopt RPA for the purposes of accounting and auditing. 2022 IEEE. -
Exploring Bio Signals for Smart Systems: An Investigation into the Acquisition and Processing Techniques
Bio signals play a vital role in terms of communication in the absence of normal communication. Bio signals were automatically evolved from the body whenever any actions took place. There are lots of different types of bio signal based research going on currently from several researchers. Signal acquisition, processing the signals and segmenting the signal were totally different from one technique to another. Placing electrodes and its standard measurements were varied. The signals gathered from each subject may be varied due to their involvement. Each and every trial of signals can generate different patterns. Each and every pattern generated from the activities also has a different meaning. In this study we planned to analyze the basic measurement techniques handled to record the bio signals like Electrooculogram. 2023 IEEE. -
EEG Signals Acquisition and Processing of Mental Tasks for Controlling Smart Systems
With the help of this biosignal, we can create various kinds of interfaces. These interfaces were especially used for paralyzed individuals who have problems in the normal bio-sensor channels. Electroencephalogram (EEG) signals play a vital role in semi-paralyzed and fully paralyzed individuals to make communication with their caretakers. EEG signals are used not only for paralyzed individuals, nowadays most of home appliances are designed due to their reliability and accuracy. EEG based Smart devices are very easy to operate because signals are generated by the human brain automatically whenever the task is performed by humans. Through this research, we discussed the basic methodology needed for interfacing the EEG signals with smart devices. From this paper, most of the researchers will be going to know how to connect the EEG signals with the smart systems to control the external devices and induce the researchers to apply the EEG signals in real time. 2023 IEEE. -
Networks Simulation: Research Based Implementation using Tools and Approaches
The advancements in computer networks and communication technology keep network-related research in high demand. Protocols are designed to improve the environment and it is mandatory to test their effectiveness before deploying them. Deploying an untested protocol in a full-fledged real environment is not desirable as there exists uncertainty about its success. Simulation software is one of the essential tools in network research areas. It gives a platform for testing and observing newly developed protocol's behavior with less cost and risk. Different kinds of network simulators are available., some are exclusive for wired or wireless., and some are for both. There are many simulators available hence selecting the most appropriate simulation tool among them is a difficult task. This paper focuses on giving a detailed review of popular simulation tools. 2022 IEEE. -
A Review of Channel Estimation Mechanisms in Wireless Communication Networks
The fluctuating nature of wireless networks influences network performance. Estimation of channel condition is essential for many reasons. The accurate estimation and prediction help to improve the performance, like better rate adaptation in Wi-Fi, improved video streaming, reduce energy consumption, and better scheduling. There are many different approaches introduced past two decades. In this paper, we are focusing on providing a brief review of different channel estimation approaches and their importance in improving performance. 2021 IEEE. -
Effect of Doping in Aluminium Nitride (AlN) Nanomaterials: A Review
Piezoelectric materials can generate electrical charges when subjected to mechanical pressure through the piezoelectric effect. In addition to generating electricity from environmental vibrations, they are also used as nano energy generators for micro electro mechanical systems (MEMS). Aluminum Nitride (AlN) with a doping element exhibits unique physical and chemical properties. It is used to manufacture many electromechanical devices. They are ideal candidates for many applications, including MEMS resonators and microwave filters, due to their large piezoelectric coefficient and low resistance. A number of material properties led to its selection, including high thermal conductivity, good mechanical strength, high resistance, corrosion resistance, and the largest piezoelectric coefficient. A piezoelectric coefficient d33 characterizes the piezoelectric response of AlN thin films. By doping this material, a wide range of applications have been explored. The Electrochemical Society