Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering)最新文献

{"title":"Performance Analysis of Approximate Parallel Prefix Adders Realized with Field-programmable Gate Array Technology","authors":"Masood Ahmad Mahammad, Y. P. K. Reddy, Balasubbareddy Mallala, P. V. Prasad","doi":"10.2174/0123520965311872240509092528","DOIUrl":"https://doi.org/10.2174/0123520965311872240509092528","url":null,"abstract":"\u0000\u0000Parallel prefix adders are widely used in high-speed arithmetic circuits\u0000due to their ability to perform additions in logarithmic time. However, the high area and delay of\u0000exact parallel prefix adders prompted the development of approximate parallel prefix adders. These\u0000adders are a promising solution for high-speed arithmetic circuits because they sacrifice accuracy\u0000for reduced area and delay.\u0000\u0000\u0000\u0000This paper presents a performance analysis of five approximate parallel prefix adders\u0000realized with field programmable gate array technology. The five approximate parallel prefix adders\u0000are the Kogge-Stone adder, the Sklansky adder, the Brent-Kung adder, the Han-Carlson adder,\u0000and the Ladner-Fisher. Each adder is implemented in a Xilinx Artix-7 FPGA. The area and\u0000delay of five approximate parallel prefix adders are evaluated. The Kogge-Stone approximate parallel\u0000prefix adder, out of five approximate parallel prefix adders, consumes the least delay, irrespective\u0000of the number of bits.\u0000\u0000\u0000\u0000The Sklansky approximate parallel prefix adder out of five approximate parallel prefix\u0000adders consumes the least area irrespective of the number of bits in addition. Overall, our research\u0000sheds light on the trade-offs between area, power delay, and power delay products of five approximate\u0000parallel prefix adders implemented with FPGA technology.\u0000\u0000\u0000\u0000This analysis can help choose the best approximate parallel prefix adder for specific\u0000high-speed arithmetic applications. In the case of 16- and 32-bit five approximate parallel prefix\u0000adders, Ladner-fisher shows the best power delay product, whereas 64- and 128-bit five approximate\u0000parallel prefix adders, Sklansky adder shows the best power delay product.\u0000","PeriodicalId":506996,"journal":{"name":"Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering)","volume":" 70","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141128463","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"HSLE: A Hybrid Ensemble Classifier for Prediction of Heart Disease","authors":"P. Kushwaha, Arvind Dagur, D. Shukla","doi":"10.2174/0123520965291887240422051823","DOIUrl":"https://doi.org/10.2174/0123520965291887240422051823","url":null,"abstract":"\u0000\u0000Detecting heart disease in a timely manner is vital for preventing its progression, as it is the primary cause of death across the globe. Machine learning has the potential to\u0000enhance diagnostic accuracy and enable better clinical decision-making. A machine learningpowered hybrid system for diagnosing heart disease may provide a better optimal solution for\u0000heart disease prediction.\u0000\u0000\u0000\u0000The overarching objectives include accuracy improvement, enhanced classification\u0000reliability, and the development of high-performance prediction models for heart disease. These\u0000objectives indicate a commitment to advancing methodologies and models in the field of machine\u0000learning and data science, particularly within the domain of healthcare and disease prediction.\u0000\u0000\u0000\u0000The proposed system was developed using the Cleveland dataset that was preprocessed\u0000and analyzed using Recursive Feature Elimination with Cross-Validation (RFECV) and Least Absolute Shrinkage and Selection Operator (LASSO) feature extraction techniques. Further, a hybrid\u0000feature selection approach using RFECV and K-Best has been proposed for feature selection.\u0000Eight machine learning classifiers such as Multilayer Perceptron (MLP), Random Forest (RF),\u0000Extreme Gradient Boosting (XGB), K-Nearest Neighbours (KNN), Extra Tree (ET), Support Vector Machine (SVC), Adaboost, Decision Tree (DT) were utilized, and the performance of the system was measured in terms of various metrics.\u0000\u0000\u0000\u0000The results showed that the proposed HSLE algorithm with hybrid feature selection led to\u0000the highest overall accuracy of 98.76%.\u0000\u0000\u0000\u0000As mentioned, the main cause of adult death worldwide is chronic disease. Early detection can stop the condition from getting worse. Our research presents an innovative hybrid machine-learning approach designed to forecast heart disease.\u0000","PeriodicalId":506996,"journal":{"name":"Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering)","volume":" 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140992319","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Feature Level Fusion of Fingerprints and IRIS for the Enhancement of\u0000Biometric System","authors":"M. Rahul, Sonu Kumar Jha, Mohammad Ilyas Khan, Ayushi Prakash, Parashu ram Pal, Vikash Yadav","doi":"10.2174/0123520965293198240418063311","DOIUrl":"https://doi.org/10.2174/0123520965293198240418063311","url":null,"abstract":"\u0000\u0000With the growing need for information safety and security rules in every\u0000corner of the globe. The biometric innovation has been used widely all over the world in daily life. In\u0000this view, the Multimodal-based biometric technique has gained popularity and interest due to its\u0000capability to resolve various problems associated with single-model biometric identification systems\u0000\u0000\u0000\u0000In this research, an advanced multimodal-based biometric recognition system is introduced,\u0000which depends on multilayer perceptron (MLP), and it identifies humans using biometric\u0000features of Fingerprints and IRIS. To build an efficient model, the popular model called Rest-\u0000Net50 was used, the gradient method was used and the hinge technique was used as a loss function.\u0000For the technique of fusion, different techniques are used to show the effect of fusion in our\u0000model. The recognition rate of introduced systems was assessed by experimenting with various\u0000techniques on SDUMLA-HMT datasets based on the multimodal biometric datasets. The recognition\u0000rate showed that merging two biometric features in biometric recognition systems gives the\u0000best results compared to a single biometric feature.\u0000\u0000\u0000\u0000The results obtained showed the superiority of our model with other existing techniques\u0000by obtaining a recognition rate of 99.79% with a feature-based fusion method.\u0000\u0000\u0000\u0000The introduced system used the MLP deep learning technique. The feature level fusion\u0000was applied to recognize the user using IRIS and fingerprints. To the best of our belief, this is\u0000the first research to incorporate MLP and multimodal-based biometric systems using IRIS and\u0000fingerprints.\u0000","PeriodicalId":506996,"journal":{"name":"Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering)","volume":" 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140992751","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Comparative Analysis of Machine Learning Models for the Classification of Heart Failure Patients in the Intensive Care Unit","authors":"Mateo Gaudin, Swapandeep Kaur, Preeti Sharma, Raj Kumar","doi":"10.2174/0123520965312805240506113451","DOIUrl":"https://doi.org/10.2174/0123520965312805240506113451","url":null,"abstract":"\u0000\u0000Heart failure is the leading cause of death globally over the last several\u0000decades. This raises the necessity of timely, accurate, and prudent methods for establishing an\u0000early diagnosis and implementing timely illness care.\u0000\u0000\u0000\u0000This study aims to develop and validate a classification model for the patients admitted\u0000to the Intensive Care Unit (ICU) with heart failure, using various machine learning models applied\u0000to the MIMIC (Medical Information Mart for Intensive Care)-III database.\u0000\u0000\u0000\u0000A retrospective cohort study was conducted using data extracted from the MIMIC-III\u0000database. Machine learning models: Logistic Regression, K-Nearest Neighbor (KNN), Random\u0000Forest, Decision Tree, Naïve Bayes, AdaBoost, and XGBoost were utilized to construct the predictive\u0000model. The dataset has been preprocessed in two different manners. The study included\u00001,177 patients with heart failure, selected according to specific inclusion/exclusion criteria and\u0000admitted to the ICU.\u0000\u0000\u0000\u0000At the end of the study, the most effective model for predicting patients who survived was\u0000Logistic Regression, with an accuracy of 0.9025, sensitivity of 0.9763, precision of 0.9196, and\u0000F1-score of 0.9471.\u0000\u0000\u0000\u0000Classification of the patients into those who survived or could not survive due to\u0000heart failure was the primary measure, with various clinical and demographic variables used as\u0000predictors.\u0000","PeriodicalId":506996,"journal":{"name":"Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering)","volume":" 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140996590","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Enhancing Blockchain Security and Efficiency through FPGA-Based\u0000Consensus Mechanisms and Post-Quantum Cryptography","authors":"J. Ktari, T. Frikha, Monia Hamdi, Nesrine Affes, Habib Hamam","doi":"10.2174/0123520965288815240424054237","DOIUrl":"https://doi.org/10.2174/0123520965288815240424054237","url":null,"abstract":"\u0000\u0000Blockchain technology has revolutionized data management and transaction recording, extending its application beyond cryptocurrencies to various sectors, including\u0000Central Bank Digital Currencies (CBDCs)\u0000\u0000\u0000\u0000This distributed ledger technology offers a transparent, immutable, and secure transaction platform, reducing the risk of data tampering and increasing resistance to attacks. However,\u0000challenges such as performance, scalability, and security continue to exist; these challenges are\u0000particularly concerning consensus mechanisms like Proof of Work (PoW). Field-Programmable\u0000Gate Arrays (FPGAs) present a promising solution to enhance the efficiency and security of\u0000blockchain consensus mechanisms.\u0000\u0000\u0000\u0000This study explores the implementation of blockchain in embedded systems using FPGAs\u0000and discusses the post-quantum cryptographic algorithms to ensure long-term protection.\u0000\u0000\u0000\u0000The research highlights the potential of FPGA-based implementations to revolutionize blockchain applications, emphasizing the need for continuous adaptation and vigilance to address evolving security threats, particularly those posed by quantum computing.\u0000","PeriodicalId":506996,"journal":{"name":"Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering)","volume":"58 15","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141009830","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Fire Smoke Target Detection Incorporating PBCA","authors":"Yunyan Wang, Zhangyi Kou","doi":"10.2174/0123520965293234240416102241","DOIUrl":"https://doi.org/10.2174/0123520965293234240416102241","url":null,"abstract":"\u0000\u0000Fire incidents occur in complex scenarios, where the dynamic positions\u0000and varying scales of flames and smoke pose challenges for fire detection. To improve the stability, localization accuracy, and detection precision of small targets in fire detection, a fused PBCA\u0000method for fire and smoke object detection has been proposed in this paper, called FS-YOLOv8.\u0000\u0000\u0000\u0000Fire incidents occur in complex scenarios, where the dynamic positions\u0000and varying scales of flames and smoke pose challenges for fire detection. To improve the stability, localization accuracy, and detection precision of small targets in fire detection, a fused PBCA\u0000method for fire and smoke object detection has been proposed in this paper, called FS-YOLOv8.\u0000\u0000\u0000\u0000The objective of this approach was to improve the detection accuracy of flames and\u0000smoke, enhance the robustness of the system, and strengthen the feature representation capability.\u0000It aimed to optimize the contribution of feature maps at different scales, allowing the network to\u0000capture inter-channel correlations while preserving precise localization information of the targets.\u0000Furthermore, it aimed to enhance the learning ability of small-scale flame and smoke objects.\u0000\u0000\u0000\u0000Firstly, DCN (Deformable Convolutional Network) was integrated into the CSPDarknet\u0000backbone network to extract features from flame and smoke images. Subsequently, a module\u0000called PBCA was designed by combining BiFPN (Bidirectional Feature Pyramid Network) and\u0000coordinate attention. Finally, a small object detection layer, YOLO HEAD-4, was constructed.\u0000\u0000\u0000\u0000The experimental results of our proposed FS-YOLOv8 method on a self-made dataset\u0000demonstrated improved detection accuracy compared to other conventional methods. Therefore,\u0000the FS-YOLOv8 method effectively enhanced the performance of object detection in fire and\u0000smoke scenarios.\u0000\u0000\u0000\u0000The FS-YOLOv8 method has been found to effectively improve the performance of\u0000object detection in fire and smoke scenarios, enhance the robustness of the system, strengthen the\u0000feature representation capability, and amplify the learning ability of small-scale flame and smoke\u0000objects.\u0000\u0000\u0000\u0000NO\u0000","PeriodicalId":506996,"journal":{"name":"Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering)","volume":"7 12","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141009730","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Smart Home Powered by Solar: IoT-based SEPIC Converter Control","authors":"Srinivasan Purushothaman, Rampriya Boomi Perumal, Shabarish Elango, Hanitha Premananth, Krishnamsetti Yoganand","doi":"10.2174/0123520965295293240418053531","DOIUrl":"https://doi.org/10.2174/0123520965295293240418053531","url":null,"abstract":"\u0000\u0000In this article, an IOT solution for managing and controlling a PV system with\u0000applications for the home is presented. A DC-DC SEPIC converter, a bidirectional converter, a PWM\u0000generator, and a single-phase voltage source inverter with active clamping are used for power conditioning. An output voltage control loop is implemented, and real-time online communication with an internet server is accomplished using the PIC microcontroller.\u0000\u0000\u0000\u0000The ESP8266MOD WIFI IOT module works with the Blynk mobile app. Experimental findings showing the proper operation of IOT features demonstrate the effectiveness of voltage regulation.\u0000In this article, frequency is taken into consideration as solar power is integrated with the grid. A user\u0000may easily control the DC-DC converter, load batteries, and monitor battery voltage through our userfriendly GUI interface.\u0000\u0000\u0000\u0000In this paper, an IOT (Internet of Things) application was used to control and track the output\u0000of a modest PV power plant. The study shows the efficiency of the digitally controlled system developed to regulate the output voltage of the SEPIC DC-DC converter.\u0000\u0000\u0000\u0000They further argue that the ESP8266 and microcontroller's versatility make\u0000them an appropriate instrument for remote and real-time monitoring and control of the proposed model\u0000from around the world. The energy that is produced by the sun is added to the grid so that it may be put\u0000to effective use and contribute to satisfying the rising demand for energy. Solar energy is the input that\u0000SEPIC uses to charge the batteries and for all of its other processes. In the event that solar photovoltaic\u0000(PV) panels are not available, the SEPIC DC-DC converter will derive its energy from AC power.\u0000\u0000\u0000\u0000In this article, an IOT (Internet of Things) application was used to control and track the\u0000output of a modest PV power plant. The research demonstrates the effectiveness of the digitally controlled system created to manage the output voltage of the SEPIC DC-DC converter. They further argue\u0000that the ESP8266 and microcontroller's versatility make them an appropriate instrument for allowing\u0000remote and real-time monitoring and control of the proposed model from any part of the world. The\u0000energy that is produced by the sun is added to the grid so that it may be put to effective use and contribute to satisfying the rising demand for energy. Solar energy is the input that SEPIC uses to charge the\u0000batteries and for all of its other processes. In the event that solar photovoltaic (PV) panels are not available, the SEPIC DC-DC converter will derive its energy from AC power.\u0000","PeriodicalId":506996,"journal":{"name":"Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering)","volume":"5 1‐2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141007204","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Hierarchical Interdependency Blockchain for Assessing Performance and Modulation Proof of Stake (POS) Security Protocol in Healthcare\u0000Application 5.0","authors":"Maheshwari V., P. M.","doi":"10.2174/0123520965316331240430104140","DOIUrl":"https://doi.org/10.2174/0123520965316331240430104140","url":null,"abstract":"\u0000\u0000Patients’ electronic health records (EHRs) stored in the cloud are more\u0000likely to suffer from data breaches. Data security risks arise from EHRs relying on centralised databases,\u0000as this approach places the responsibility for data protection on the user. Indeed, it leaves\u0000data security to a single organisation, leaving it open to intrusion by its workers. Maintaining the\u0000privacy and integrity of patient information is of utmost importance when interacting with and\u0000integrating with EHR systems.\u0000\u0000\u0000\u0000Therefore, in order to find the best blockchain framework for trustworthy electronic\u0000health records (EHRs), a precise method for comparing the effects of several current blockchain\u0000systems is required. Data from electronic health record applications is encrypted and saved in the\u0000cloud using IPFS off-chain as part of this study, following a design that is consistent with patient\u0000data management. To secure electronic health record data, the system uses a hierarchical interdependency\u0000approach for block construction and framework design.\u0000\u0000\u0000\u0000This research is focused on finding a solution to the issue of privacy leaking in data sharing.\u0000To ensure the privacy of user’s data, the healthcare system utilises a multilevel authentication\u0000mechanism and an encryption technique that is based on hierarchical interdependency attributes.\u0000Smart contracts have been used to establish hierarchical access control for various Internet\u0000of Things systems, guaranteeing control over data access. This paper describes how the system's\u0000scalability, transaction latency, and throughput may be improved by implementing a modified\u0000proof-of-stake (POS) security protocol in healthcare application 5.0. This helps to secure users'\u0000privacy and security.\u0000\u0000\u0000\u0000In comparison to more conventional blockchain solutions, the experimental results\u0000demonstrate improvements in efficiency and security in terms of variables such as block size,\u0000upload time, transaction range, and evaluation metrics such as transaction delay.\u0000\u0000\u0000\u0000In addition, a generic EHR configuration strengthens the hierarchical interdependency blockchain. The results of this configuration are thoroughly discussed in the paper, revealing a noticeable improvement in the performance parameters block size, different nodes, upload time, transaction range, and evaluation metrics like Transaction delay, which are determined through empirical research for different EHR dataset scenarios of EHR blockchains\u0000","PeriodicalId":506996,"journal":{"name":"Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering)","volume":"97 11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141017449","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Design of Global RLC Interconnect Circuit with Analytical Delay Model","authors":"Himani Bhardwaj, Shruti Jain, Harsh Sohal","doi":"10.2174/0123520965298473240314065311","DOIUrl":"https://doi.org/10.2174/0123520965298473240314065311","url":null,"abstract":"\u0000\u0000With the advancement in technology nodes and scaling trends, the majority\u0000of the device performance depends upon the interconnections made between two or more\u0000devices. With these scaling trends, frequency plays a vital role. As the technology decreases, frequency\u0000tends to rise to giga-hertz. This increase in frequency gives rise to inductance parameters\u0000in the interconnect circuits. For long wires, the inductive impedance can become comparable to\u0000the resistive component due to which performance degradation can be observed along with overshoot\u0000and crosstalk issues that can no longer be ignored.\u0000\u0000\u0000\u0000This article aims to examine the delay model and reconstruct an interconnect circuit that\u0000serves as a transmission line, ranging in length from 1 mm to 10 mm.\u0000\u0000\u0000\u0000By keeping the frequency high, low voltage and rise/ fall time, performance parameters\u0000such as delay, power consumption, and overshoot are observed.\u0000\u0000\u0000\u0000The interconnect structure is compared with another state-of-the-art technique.\u0000","PeriodicalId":506996,"journal":{"name":"Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering)","volume":" 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140689903","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Examining the Sensing Technology in Microfluidic Sensors with Material\u0000for Various Microfluidic Applications: A Review","authors":"Ankur Saxena, Dr. Bhagwat Kakde, Ajay Kumar Mishra","doi":"10.2174/0123520965285419240313040515","DOIUrl":"https://doi.org/10.2174/0123520965285419240313040515","url":null,"abstract":"\u0000\u0000Microfluidic sensors have garnered significant attention over the past decade due to\u0000the growing need for microsystem automation and their applications in biology and optical control.\u0000This review paper explores the extensive use of microfluidic applications across diverse sectors,\u0000including medical, optical, and automation. The study examines various types of microfluidic\u0000sensors tailored for specific applications and analyzes the materials employed in microfluidic\u0000chips, including their respective advantages and disadvantages. Additionally, it delves into specific\u0000microfluidic pressure sensors, elucidating their underlying principles and methods for detecting\u0000parameters. This paper explores the concept of microfluidics sensing mechanisms with\u0000biomedical applications, flow sensor application to measure the pressure of a fluid, thermal sensor\u0000application to measure the cell temperature, and chemical sensor application to measure the\u0000concentration of chemicals such as glucose and cocaine. This material is utilized to design the\u0000sensor and fabricate the device to measure the fluid properties and effect of fluid in the channel.\u0000The paper also explores the need for microfluidic pressure sensors in different categories of applications.\u0000In conclusion, the research highlights the existing research gaps within the realm of\u0000microfluidic sensors.\u0000","PeriodicalId":506996,"journal":{"name":"Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering)","volume":" 21","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140690923","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}