Journal of Science & Technology (JST)
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Herbal Nanogel Formulation: A Novel Approch
Get PDFIncreasing research interest has been focused on controlled as well as sustained drug delivery using natural and biocompatible constituents in recent years. Many of them herbal constituents are avoided due to pharmacokinetic and pharmacodynamic issues of herbal constituents. There are many new technological ways and comparisons have been studied to upgrade the herbal discoveries in pharmaceutical market. This review will focus on the nanogel for herbal medicines with high delivery rate, patient compliance and efficiency. A nanoparticles contained hydrogel with cross linked polymer networks called as ‘Nanogel’. Nanogel preferred for herbal medicines due to stability and for the ease. Nanogels in terms of herbal drugs are promising and novel approach which also can be called as future generation drug delivery systems owing to high drug encapsulation capacity, uniformity, minimum toxicity, greater stability
Role of Artificial Intelligence In Detection of COVID-19: A Review
Get PDFThe corona virus is world’s pandemic disease originated in China 2019 thus called Corona Virus Disease 2019 (COVID-19). It surprised the world with its rapid spread and had major impact on human life as well as on global market. The fundamental solution to control the rapid spread of disease is social distance and home quarantine, but no one can stay at leisure for longer time. Thus, we have to live with COVID-19 by preventing ourselves. Symptomatic patients were called to test for COVID-19 immediately and will be quarantined. But asymptomatic patients become strange for the society today. To overcome this issue some intelligent system test is essential. Collection of patients sample itself is a risky. Thus, in preliminary step, Artificial Intelligence (AI) plays a vital role for detection of COVID-19. If the process of detection include an Artificial Intelligence it becomes easier for corona warriors to take necessary action on this pandemic and can able to detect disease at the earliest. Thus, in this article we have reviewed role of Artificial Intelligence in detection of COVID -19. The review resulted as there is urgent need of developing AI-based system for early detection, tracking and quantification of corona virus patients to save the world from this pandemic disease
Formulation and Development of Rutin and Gallic Acid Loaded Herbal Gel for The Treatment of Psoriasis and Skin Disease
No full textPsoriasis is a chronic, non-contagious, autoimmune genetic disorder characterized by keratinocyte differentiation and dermo-epidermal inflammatory infiltration affecting upper back sacral region, scalp, nails and joints and may cause psoriatic arthritis, myopathy, enteropathy, spondylitic heart disease, malignancy or the AIDS. It appears first in 15 and 30 years age group. Histopathology of disease involves acanthosis, elongation and oedema of dermal papillae, absence of granular cell layer suprapapillary thining of stratum malpighii and prominent parakeratosis. Many drugs have been introduced in the market like clobetasol propionate, acitretin, methotrexate etc. but no single entity has proved to be beneficial to the patients. Though advancements have taken place in modern therapy it suffers from few shortcomings like no cure, treatment dissatisfaction and unavoidable drug interactions on long exposure
A Survey on Phishing Detection and The Importance of Feature Selection In Data Mining Classification Algorithms
Get PDFIn this era of Internet, the issue of security of information is at its peak. One of the main threats in this cyber world is phishing attacks which is an email or website fraud method that targets the genuine webpage or an email and hacks it without the consent of the end user. There are various techniques which help to classify whether the website or an email is legitimate or fake. The major contributors in the process of detection of these phishing frauds include the classification algorithms, feature selection techniques or dataset preparation methods and the feature extraction that plays an important role in detection as well as in prevention of these attacks. This Survey Paper studies the effect of all these contributors and the approaches that are applied in the study conducted on the recent papers. Some of the classification algorithms that are implemented includes Decision tree, Random Forest , Support Vector Machines, Logistic Regression , Lazy K Star, Naive Bayes and J48 etc. Keywords: Classification; Phishing attacks; Decision Tree; Random Forest ; Support Vector Machines; Logistic Regression ; Lazy K Star; Naive Baye
Real -Time Text Detection and Recognition Based on Optical Character Recognition(OCR)
Get PDFText presented in videos includes vital information for content analysis, indexing, and retrieval of videos. Finding, verifying, and recognizing video text against complex backgrounds is a key technique for extracting this content. The existing system faces challenges ineffectively detecting and recognizing text content in images, limiting its applications to only images and recognizing text in English. This highlights the limitations of the CTPN network, which can only detect text in approximate horizontal directions. Additionally, the CRNN algorithm used for text recognition lacks efficiency in handling occluded text, indicating the need for improvement in both text detection and recognition under complex backgrounds. Our proposed system suggests a method for text detection and recognition in real-time videos, and web cameras with enhanced multilingual support and converts any language text into English. Efficient handling of occluded text, Efficient handling of text orientations, variations of different fontstyles, sizes and text distortions using text detection tools such as the OpenCV. This tool extracts the region of interest of text in the video frames, implementing text detection through Optical Character Recognition (OCR) and Pytesseract. OCR and Pytesseract extract text from video frames and pre-process frames for better recognition, enabling automated text extraction and analysis in videos. This approach offers a promising solution with much more better results than the existing method for detecting text in videos and web cameras.
 
Employee Satisfaction with Remuneration
Get PDFThe pay that an employee gets in exchange for his or her service to the business is referred to as remuneration. The importance of pay in the life of an employee cannot be overstated. The compensation he or she gets determines his or her quality of life, social standing, motivation, loyalty, and productivity. Employee compensation is also important to the company since it influences production costs. Furthermore, numerous fights (in the form of strikes and lockouts) occur between the company and its workers over topics such as pay and bonuses. Employee compensation is also an essential element of human resource management. The HR professional has a tough job in determining appropriate salaries and compensation differentials for workers and supervisors. Because wages and salaries are such a hot topic, books and magazines dedicate a lot of space to in-depth studies of wage and compensation issues.One of a company's most significant investments is its compensation plan. Despite the fact that fair pay is a cornerstone of contractual and implicit agreements between workers and employers, the basic assumption is that money has a direct impact on behavior. Many workers and managers think that just raising compensation would encourage employees to perform harder and be more loyal. Employee performance is a significant problem for many companies, as they must recruit, inspire, and retain the appropriate talent pool in order to thrive (Cohenet al, 1992). In terms of establishing an atmosphere in which workers feel genuinely engaged, linked to the organization's goals and objectives, and happy with their employment, the need to recruit, motivate, develop, and retain people has never been more critical to any organization's success. Because workers must feel that their compensation is fair in proportion to the job they accomplish, the most important aspect of a payment plan is to guarantee that employees retain a high level of performance at work (Cohenet al, 1992). Furthermore, pay is one of the most important determinants of employee attitudes, motivation, and behavior (Wayne, 1992). The effect of compensation on employee behavior and attitudes, on the other hand, has centered on how pay is handled. The bulk of these research indicate that rewarding outstanding performance with large pay increases reinforces the behavior and makes it more likely to be repeated in the future, which is in line with reinforcement and expectation theories. The economy's overall health, the firm's financial ability to raise wages, union negotiations, and the desire to retain a key individual or group of employees, and the relative performance of a particular employee are all factors that influence a single pay rise. Furthermore, the information conveyed by a single pay shift, which may be affected by the aforementioned external variables, reveals more about an employee's worth to the company than the information offered by a pay level over time (Wayne, 1992). Compensation is also an important aspect of every company's human resources function. It's a dynamic profession that's also a labyrinth of complexities
Image-Based Animal Detection and Breed Identification Using Neural Networks
Get PDFHaving accurate, detailed, and up-to-date information about the behaviour of animals in the wild world would improve our ability to study and conserve ecosystems. We investigate the ability to automatically, accurately, and inexpensively collect such data through various sources, which could help catalyse the transformation of many fields of ecology, wildlife biology, zoology, conservation biology, animal behaviour into “big data” sciences and many more. So extracting information from the pictures remains an expensive, time-consuming, and manual task for us. We demonstrate that such information can be automatically extracted by deep learning and convolutional neural network. Leveraging on recent advances in deep learning techniques in computer vision, we propose in this project a framework to build automated animal recognition in the wild, aiming at an automated wildlife monitoring system. In particular, we use a single-labelled dataset done by citizen scientists, and the state-of-the-art deep convolutional neural network architectures, face biometrics, to train a computational system capable of filtering animal images and identifying species automatically and counting the number of species. Our results suggest that deep learning could enable the inexpensive, unobtrusive, high-volume, and even real-time collection of a wealth of information about vast numbers of animals in the wild and this, in turn, can, therefore, speed up research findings, construct more efficient citizen science-based monitoring systems and subsequent management decisions, having the potential to make significant impacts to the world of ecology and trap camera images analysis . Keywords: machine learning, deep convolutional neural networks, face biometrics
Design of (PUF) Physical Unclonable Function Using FPGA and Secured Clock Network (SCN)
Get PDFA constant growth in the number of microelectronic devices and applications is accompanied by a constant rise in the need for goods that are genuine and secure, as well as for electronic systems that are trustworthy. The security requirements for the vast majority of applications are quite stringent and continually evolving, as is the case with most technologies. On top of that, new and more intricate assaults are being developed on a regular basis. These assaults typically have a significantly higher impact than regular attacks, and there is nothing that can be done to compensate for them other than to deploy more software countermeasures to protect against them. The outcome is the development of a PUF (Physical Unclonable Function) system based on clock networks with the goal of improving security. In the rapidly developing field of on-chip Physical Unclonable Functions (PUFs), a powerful security primitive with the capability of addressing a wide range of security challenges is emerging as a viable option. Specific to electrical circuits, we demonstrated a PUF system based on a clock network that may be used to overcome the security difficulties associated with such circuits. An unclonable circuit is created by merging the clock network, return path, and multiplexer (Mux) blocks together. This is a circuit that cannot be reproduced. Sinks are included in the clock network, and they are used to split the data received as input. When a signal is transferred from the clock network to the mux network, the return path is used to transmit the information. Mux networks are made up of three components: a multiplexer, a delay buffer, and an SR latch (synchronous response latch). When the PUF circuit responds, it returns a single bit that cannot be replicated. In a circuit, a PUF is an external device that may be used to prevent cloning of the circuit from taking place. An effective power supply unit (PUF) must have the ability to endure changes in circuit timing that are both reversible and irreversible in nature. For a wide range of applications, PUF functions provide low-cost, highefficiency, and secure identification and authentication of devices using a number of methods. Anyone attempting to replicate the protected circuit in its same form will find it difficult, and as a result, they will not be able to achieve the same functionality as the device. As a consequence, we will be able to prevent the gadget from being replicated in the future
Adulteration of Spices: A Review
Get PDFFood is one of the basic needs for every living being and is very important aspect for life. But now a day’s foods are affected by different adulterants. Adulteration is a substance which reduces the vital importance of food. Adulterants like metanil yellow (an artificial colour) is used to intensify the colour of the turmeric powder also adulterants like chalk powder, brick powder and toxic substances are added to gain profit and to lower the cost so as to compete with the market. Such adulterants can lead to anaemia, paralysis, brain damage, stomach disorders and also cancer. Spices may also be contaminated because of conditions under which they are cultivated and harvested. Contaminated spices have been reported to cause some diseases and spoilage caused by food. This article provides some information about adulteration of spices
Implementation of Transient Current Testing for Faults in SRAM
Get PDFIn recent years, as memory devices have risen in popularity, a higher quantity of memory has been packed into each chip, and fierce market competition has upped the quality standards that are expected of the memories that are produced. The notion that failure analysis and device testing methodologies are becoming increasingly important as a result of the rising demand for dependability has been emphasised repeatedly. It has been more popular to study and research memory devices in recent years, particularly in the context of novel failure models, fault detection methodologies, and new memory architectures that have all been developed and implemented. A direct effect of this experience is that the March test is now frequently used to identify and avoid similar problems from occurring in the future. The organisation believes that some vulnerabilities in SRAM cells may go undetected during the normal March testing. In order to determine whether or not there are defects in the CMOS SRAM, a time-consuming procedure has been implemented. It is as a result of this decision that the most recent testing process is selected for usage. As part of this research effort, IDDT is being used to test for faults and issues in CMOS SRAM cells, and it is also being used to test for flaws and issues in CMOS SRAM cells as part of a separate study of the same name. In either case, a transient current pulse generated during a transition write operation or a transition read operation may be monitored for system failures, allowing them to be discovered and remedied. For the purpose of detecting and measuring the transient current pulse, it is required to design a circuit for monitoring current. SRAM, memory testing, the March algorithm, the IDDT, and the current sensor circuit are just a few of the terms that appear in this document