Volume 11 | Issue 5 |

 Abstract

In this paper, we are discussing Various Techniques for doing Person Identification. For this we are using Python Programming Language and also Some Machine Learning Algorithms. We are using Face and Voice Recognition for Implementing this Project.

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 Keywords

Face Recognition, Voice Recognition, Face Recognition Algorithms, Voice Recognition Algorithms

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 Abstract

In this paper the researcher study and work on the labeling of Corona Product Graph by admitting the certain condition of Smarandachely product cordial labeling. Smarandachely product cordial labeling on G is such a labeling f:V(G) -> {0, 1} with induced labeling f(u) f(v) on edge uv ? (G) that I Vf (0) - Vf (1) I >= 2 and I ef (0) - ef (1) I >= 2

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Cordial labeling, Smarandachely product cordial labeling, and Corona product graph.

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 Abstract

to find how performance management system affects the employee performance. this study focuses on 2 important aspects ie performance appraisal and motivation

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performance management system, performance appraisal, motivation

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Oral route of drug administration is most favorable for most of the patients. It is easiest, convenient, patient compliance, non-invasiveness method and is preferred by most of the physicians. The oral administration of biologics yet not beneficial compared to other routes due the various gastrointestinal barriers, mucosal permeability also it limits the systemic absorption of macromolecules that are complex after ingestion. Biologics contribute in significant treatment of therapeutic interventions such as chronic ailments, metabolic disease ageing and inflammatory disorders but are highly sensitive to the harsh environment of the gastrointestinal tract; the large molecular size causes the permeability across the intestinal mucosa to become extremely poor for biologics. Various drug discovery, intensive research and design have enhanced the growth of biologics in recent decades' and have further accelerated in the way we administer the medication in a clinical settings. . Different drug delivery systems pharmaceutical technologies that include micelles, nano carriers, lipid-based carriers, and cyclodextrins have been explored to enhance oral drug absorption. This article will first address the physiological barriers to oral delivery of biologics and discusses different strategies to improve the effectiveness of oral delivery. Additionally, this discussion will extends to the various advantages and limitations of drug delivery systems as well as the overall opinion and potential of this future clinical field.

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Keywords: drug delivery, oral delivery, biologics, gastrointestinal barriers

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 Abstract

The issue of handwritten signature verification hasn't been fully solved despite new research in the area. In our social and legal lives, handwritten signatures are crucial for authentication and proof. Only if a signature comes from the intended recipient can it be approved. It is extremely unlikely that two signatures created by the same individual will be identical [7]. Even though two signatures are made by the same individual, many signature characteristics can change. Determining the forgery thus becomes a difficult job. Systems for checking signatures are made to identify whether a specific signature is real or fake. In this research, a signature verification method based on convolutional neural networks (CNNs) is suggested. Using a CNN neural network model, we can extract a more accurate representation of the image information. Raw pictures of signatures are used to train the CNN model for feature extraction and data augmentation, and judgments are made about whether a given signature is genuine or forged. This software can be used to verify signatures on a variety of platforms, including signing loans and applications as well as legal documents.

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 Keywords

CNN, feature extraction, pre-processing, machine learning, RELU, and deep learning.

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Breastmilk monitoring is essential in neonatal care as it plays a significant role in the growth and development of infants. Conventional techniques for breastmilk monitoring are often labor-intensive, time-consuming, and prone to human error. Therefore, the need for an automated system that can accurately identify, monitor, and classify breastmilk has arisen. The conventional techniques for breastmilk monitoring involve manual recording of the date, time, and quantity of breastmilk. The milk is then labeled with the mother's name and stored in a refrigerator. However, this method is prone to human error, and it is challenging to track the expiration of breastmilk. In this paper, we propose an RFID-based breastmilk identification and monitoring system that utilizes a humidity sensor, a temperature sensor, and a breast milk stage classification system using a pH and color sensor. The proposed system utilizes RFID technology to accurately identify and monitor breastmilk. Each bottle / pack of breastmilk is tagged with an RFID tag that contains information about the mother, the date and time of expression, and the volume of milk. The system also includes a humidity sensor and a temperature sensor to monitor the storage conditions of breastmilk in the refrigerator. The breast milk stage classification system uses a pH and color sensor to classify breastmilk into three stages: colostrum, transitional milk, and mature milk. The pH and color sensor measures the pH level and color of breastmilk and compares them with pre-defined values for each stage. A breast milk stage classification system using a pH and color sensor provides an automated, accurate, and reliable method for breastmilk monitoring. This system has the potential to reduce human error, save time, and ensure the provision of quality care to infants.

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 Keywords

PH level, Breastmilk, Sensor and RFID technology

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While substantial research covers current control and synchronization of grid-connected photovoltaic (PV) inverters, issues concerning control of the PV input voltage deserve more attention, as they equally affect the reliable and stable operation of the system. Hence, this article analyses the PV voltage regulation in the single-stage single-phase PV inverter. In contrast to previous work, the PV source influence on the input voltage dynamic is analytically formalized, exposing a potential instability when the PV source is operating in its constant current region. A traditional proportional-integral PV voltage controller fails to ensure a consistent and stable voltage regulation. On the other hand, this issue is resolved by the proposed feedback linearization based controller. The new controller is validated on a test setup comprising of a PV source emulating a 1.2 kW PV array, interfaced to a single-phase inverter connected to a grid emulator. Confirming the issues predicted by the theoretical analysis, the experiments prove two main advantages of the proposed controller. First, PV voltage regulation instability is eliminated when the PV array operates in its constant current region. Second, the PV voltage transient behavior is now independent of the operating point of the PV source.

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Renewable energy, PV modules and PWM switching.

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 Abstract

Visually challenged people can lose independence and quality of life due to navigational difficulties. Navigation aids like white canes and guiding dogs have limits and require training. With deep learning and computer vision technology improving, navigation assistance systems can be improved. The ultrasonic-sensored YOLOv7 indoor and outdoor navigation assistance system helps vision impaired people navigate securely and independently. You Only Look Once version 7 (YOLOv7) and an ultrasonic sensor are used to detect and locate items in real time. The technology alerts the user to the existence, location, and relative position of items using auditory and haptic input. The real-time YOLOv7 algorithm detects things in the user's path. A wearable gadget gives the user acoustic and tactile feedback once the ultrasonic sensor identifies the object's distance and position. Real-time navigation aid in indoor and outdoor locations can improve visually impaired people's freedom and quality of life. YOLOv7 object detection and ultrasonic sensors allow the system to correctly detect and locate items, giving the user a better awareness of their environment.

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 Keywords

YOLOv7, Accessibility, Navigation, Ultrasonic sensor, Assistive Tools, Assistive Technology

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In recent years the concept of the Internet of Things (IoT) has evolved to connect commercial gadgets together with the medical field to facilitate an unprecedented range of accessibility. The development of medical devices connected to internet of things has been praised for the potential of alleviating the strain on the modern healthcare system by giving users the opportunity to reside in the home during treatment or recovery. With the IoT becoming more prevalent and available at a commercial level, there exists room for integration into emerging, intelligent environments such as smart homes. When used in tandem with conventional healthcare, the IoT offers a vastrange of custom-tailored treatment options. This paper studie srecent state-of-the-art research on the field of IoT for health monitoring and smart homes, examines several potential use-cases of blending the technology, and proposes integration with an existing smart home test bed for further study. Challenges of adoption and future research on the topic are also discussed.

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Smart home with Health monitoring

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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 Keywords

Ichnocarpus frutescens, Diabetes mellitus, Dose dependent Antidiabetic medicine

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