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Rehabilitation engineering is playing a more vital role in the field of healthcare for humanity. It is providing many assistive devices to diplegia patients (The patients whose conditions are weak in terms of muscle mobility on both sides of the body and their paralyzing effects are high either in the arms or in the legs). Therefore, in order to re...
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... are controlled well with a H-bridge circuit according to the mentioned voice commands. For virtually data transmission, the virtual serial port driver has been used as shown in Figure 4. ...
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Recent research has employed measures of either empathy, compassion or mindfulness and linked better face recognition memory to higher scores of identification with all humanity and mindfulness but not empathy or compassion. Additionally, empathy, compassion and mindfulness have been suggested as concepts that intertwine, but research has not yet e...
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... Because of the limited reach of the hands, a person cannot accomplish numerous tasks in a constrained workspace. Many studies have proposed improved designs that increase user accessibility and expand opportunities, making various formerly difcult tasks such as cooking, dishwashing, and accessing the kitchen refrigerator possible [4,5]. Te reduced eye level was a signifcant barrier to carrying out many daily duties, but this issue can be solved with a standing wheelchair. ...
The majority of people with disabilities in the world have impairments that affect their lower bodies. In most of these cases, it was found that the affected person’s upper body was in good health and capable of carrying out all activities; however, the spinal cord injury results in significant health challenges with body functions like urination, bowel movements, heart rate, and respiratory, cardiovascular, and sexual function, which require prompt medical treatment and mobility aids. This study presents the mechanical layout of a wheelchair that can switch between a sitting and a standing position. The center of gravity must be taken into account when creating an electric standing wheelchair. It is designed specifically for people with disabilities to lessen the need of outside assistance, allowing the disabled person to savour a sense of adoration. In the simulation, the electric standing wheelchair analysis is carried out by loading with a human weight of 40 and 100 kg, and the transformation angle is adjusted between 0 and 90 degrees to compare the center of gravity displacement. SolidWorks and ANSYS are used to design the prototype, assemble the product, and establish the safety factor bounds of the structure and capabilities as required. The research focuses to achieve control of speed deviation and acceleration using a fuzzy control technique. The Arduino oversees the operation of the drive system as a controller, and a linear actuator is utilized for standing and sitting positions. This method is affordable, easily constructed, and highly secure.
... A substation's automation could benefit from SCADA and PLC, according to this study. The electricity for the generator and the primary supply is supplied by the substation [17]. The power management system uses SCADA to instantly activate a transformer at the substation in the event of low voltage [18]. ...
In this paper, SCADA, and PLC (programmable logic controller) are used in the substation to automate the control of transformers. The substation is where the power for the generator and the primary supply comes from the generating station to the distributor or the end user via the transmission line. Each substation has its own set of activities, such as switching transmission lines, measuring parameters, detecting faults, and storing historical data. All these tasks were performed by one person, as the system becomes more advanced it moves to automation. Monitoring, controlling, and acquiring of data can be performed by SCADA and a PLC (Pro-grammable Logic Controller) in an automated substation. In the case of a low voltage, a transformer set at the substation is quickly turned on by the power management system using SCADA. A PLC, or "programmed logic controller, " regulates the voltage in a substa-tion. Substation automation has three categories, First RTU data is sent to controllers for system monitoring or management. The second PLC generates control commands based on system parameters, and the third SCADA allows for human-machine interaction.
... Filtered multi-tone-based FBMC (FMT/FBMC), cosine modulated multi-tone-based FBMC (CMT/FBMC), and offset quadrature amplitude modulation-based FBMC (OQAM/FBMC) are the three types of FBMC systems[32][33][34][35][36][37]. ...
... 5G coverage map in December 2019[35] ...
Continuous placement of cellular networks keeps on revealing because of the inbuilt limitations of the network. To overcome these flaws, there is the next generation 6G concept which could properly assimilate important rate-hungry applications such as stretched reality, wireless brain-computer connections, independent automobiles , and others. 6G will also help in handling huge data transmission in rural areas. Many state-of-the-art trends and technologies are combined in it with the aim of providing higher data rates for ultra-reliable and low-dormancy communications. This article deals with the conceptualization of 6G cellular addressing system requirements, potential trends, technologies, services, applications, and research progress. This research includes a summary of open research issues and current research groups to benefit readers with the technology roadmap and for consideration of challenges in their research regarding 6G research. The fourth industrial revolution in the textile sector can greatly benefit from 5G and 6G technologies in automated processes of textiles such as in spinning, weaving, and especially in garments manufacturing to meet competitive advantages , excellent communication, and for better and more flexible production. 3D modeling, simulation of virtual clothes on avatars, automation of robotics, and data communication can be improved by the concept of 5G and 6G technologies.
... Based on the findings of the studies, the NNC of the DC-DC converter appears to be accurate. In addition, NNCs are utilized in various applications involving drives and power electronics [19], [20], [21]. The NNC's online learning program has been modified to reflect these findings because of research into how students can improve their academic performance. ...
DC-DC converters are often used in electrical systems to keep the
output voltage constant. Boost converters are utilized for a variety
of purposes, including regenerative braking of direct current motors,
portable device applications, and regulated power supplies. Buck
converters, on the other hand, are used in sophisticated communications, data communication, and self-regulating power supplies.
One of the most crucial elements in the power conversion process
is managing the DC-DC converters. This study aims to find out
which nonlinear controller, fuzzy or neural network, works best
when the output load or boost converter characteristics change. So,
in this, we create a boost converter controller using a fuzzy and
neural network. The fuzzy controller for this study’s converter employs a standard set of rules, whereas the neural network controller
employs two hidden layer networks. MATLAB software is then
used to reconstruct both controllers. The simulation results show
that the fuzzy logic controller has a very long transient and settling
period with no steady-state error in both transient and steady-state
situations. On the other hand, the neural network controller has a
short transient and settling period with a steady-state error.
... The block chain technologies are considered in recent years as an adaptive approach when compared to the existing techniques [22]. The management of medical data from the medical institutions does not guarantee the patient data reliability and integrity [23]. The risk factors like hacking, data loss, and data authentication from unauthorized users, personal privacy leakages, and lack of security etc., From all the distinct medical institutions, the medical data obtained are gathered in such a way that the data present is very much vulnerable to cyber threats [24]. ...
The medical technology is being evolved for enhancing the healthcare information related to medication, diseases, medical images etc., by using Electronic Healthcare Recording (EHR). The details such as gender, age, and weight of patients are sensitive, and require protection against unauthorized access. Therefore, providing a robust security for medical data is indeed a challenge. The present research work proposed a Fully Decentralized Block chain (FDBC) model with the Proxy Re-Encryption Algorithm (PReA) with an Ethereum smart contract. The proposed FDBC-PReA allows the data to be visible only for the owner and the smart contract as the model is implemented in an Ethereum based test bed. Each time when the data is transformed, the data loss is obtained for the incorrect data which is taken care by the decentralized BC. The fully decentralized BC stores and checks whether each of the entity shares or accesses the real time data. The proposed FDBC-PReA Ethereum smart contracts, and proxy re-encryption algorithms are executed with a faster rate that consumed average block time of 5.48s, which is lesser when compared to average block times of Smart-Contract Ethereum Distributed Ledger-14s, Searchable Encryption-48.125s, and Decentralized Security Architecture-Software Defined Networking (SDN)-10s. © 2023,International Journal of Intelligent Engineering and Systems.All Rights Reserved.
... Thus, an electrical stimulation intervention method that can improve weight distribution and postural control ability between the paretic and non-paretic sides of stroke patients is needed. An intelligent healthcare system that can help improve health based on IT technology has recently emerged [11,12]. In particular, as smartphones have become popular, technology that connects wearable devices that record health-related information and smartphones to provide this information has developed [13]. ...
This study aimed to determine the effects of balance training with weight shift-triggered electrical stimulation to improve balance, lower-extremity motor function, and activities of daily living in patients with stroke. The participants were randomly allocated to the balance training with electrical stimulation group (BT-ESG, n = 29) or the balance training group (BTG, n = 30). Both groups were trained 5 times per week for 6 weeks for 50 min per session. To evaluate static balance, postural sway was assessed and dynamic balance was assessed using the Berg Balance Scale (BBS), Timed Up and Go (TUG) test, and functional reach test (FRT). Lower-extremity motor function was assessed using the Fugl–Meyer assessment. Daily activities were assessed using the Modified Barthel Index. As for static balance, BT-ESG showed a significant improvement compared to BTG in postural swat in both the eyes-open (velocity moment; effect size, 0.88; 95% confidence interval, −1.16 to −1.30), or eyes-closed state (velocity moment; effect size, 0.81; 95% confidence interval, −1.22 to −0.27). Dynamic balance, which includes TUG (effect size, 0.90; 95% confidence interval, −4.67 to −1.25), BBS (effect size, 1.26; 95% confidence interval, −2.84 to 6.83), and FRT (effect size, 1.45; 95% confidence interval, 1.92 to 4.08), in addition to lower-extremity motor function (effect size, 1.38; 95% confidence interval, 2.25 to 4.97), and activities of daily living (effect size, 2.04; 95% confidence interval, 2.04 to 937), showed significant improvement in BT-ESG compared to BTG. These results suggest that balance training with weight shift-triggered electrical stimulation effectively improves balance, lower-extremity motor function, and activities of daily living in patients with stroke.
... The qualified term complex is given to those graphs whose topology departs from the regularity of classical lattices. This complex architecture, with properties, such as scale invariance and high clustering, is found in real networks from a variety of fields [4] such as biology and medicine in the context of biological temporal networks, which describes the mechanisms and evolution of the cellular functions and their resistance to stimuli [5], deterministic/stochastic model of epidemic spreading on temporal networks [6,7], symptom networks in cancer diseases [8], blockchain implementation [9], wireless intelligent control in healthcare [10], or psychology in the context of the construction of temporal networks models that examine directionality between symptoms over time [11]. ...
The evolution analysis of networks whose links are either positive or negative, representing opposite relationships such as friendship and enmity, has been revealed to be particularly useful in sociological contexts. Using a large relational dataset containing the last two centuries of state-wise geopolitical information (the correlates of war–alliance conflicts), a machine learning approach is presented to predict network dynamics. The combination of geometric as well as information–theoretic measures to characterize the resulting discrete time series together with the power of deep learning machines is used to generate a model whose predictions are even accurate on the few days in two centuries of international relations when the typical value (i.e., Alliance or Neutral) changed to a war or a conflict. In other words, the model can predict the next state of the network with a probability of error close to zero.
... It is a key feature of blockchain technology to make its possible DevOps matrix in hand and visible to all participants [35,36]. The organization will prepare to leverage the insights practitioners get from their experiences, capitalize on DevOps successes, and quickly make the plan when DevOps teams do not get significant outcomes [37,38]. Small perfections are the basic elements to get required results, and within time metrics in hand, the DevOps team enable to make timely changes that will allow gaining benefits from minor improvements [35]. ...
Recently, blockchain and DevOps have received attention from the software industry as both offer number of benefits individually. Automation , measurement, and sharing are the core pillars of DevOps, and to securely manage these; blockchain can play an important role. This study aims to understand the role of blockchain technology in the DevOps paradigm. This study presents factors that influence the adoption of blockchain in DevOps. Furthermore, this study suggests a framework that assists in merging the characteristics of blockchain in the DevOps paradigm. The findings of this study give a knowledge base for industry experts and the research community to develop the roadmap and guidelines for the adoption of blockchain in the DevOps paradigm. CCS CONCEPTS • Continuous development and operations; • Secure DevOps; • Blockchain;
... It uses light to transfer electrical signals to required circuit, hence named Optocoupler. It is taking input from STM microcontroller and is providing signal to the gate of IGBT's [35][36][37][38][39][40]. ...
... During COVID-19, many doctors who met patients to secure COVID-19 patients were also affected [20]. In various monitoring applications, wireless sensor networks (WSNs) have been widely employed because of the advantages of low cost and easy deployment, including battlefield surveillance, environmental monitoring, and bio identification [21,22], etc. ...
By upgrading medical facilities with internet of things (IoT), early researchers have produced positive results. Isolated COVID-19 patients in remote areas, where patients are not able to approach a doctor for the detection of routine parameters, are now getting feasible. The doctors and families will be able to track the patient's health outside of the hospital utilizing sensors, cloud storage, data transmission, and IoT mobile applications. The main purpose of the proposed research-based project is to develop a remote health surveillance system utilizing local sensors. The proposed system also provides GSM messages, live location, and send email to the doctor during emergency conditions. Based on artificial intelligence (AI), a feedback action is taken in case of the absence of a doctor, where an automatic injection system injects the dose into the patient's body during an emergency. The significant parameters catering to our project are limited to ECG monitoring, SpO2 level detection, body temperature, and pulse rate measurement. Some parameters will be remotely shown to the doctor via the Blynk application in case of any abrupt change in the parameters. If the doctor is not available, the IoT system will send the location to the emergency team and relatives. In severe conditions, an AI-based system will analyze the parameters and injects the dose.
