Volume 10 | Issue 12

 Abstract

We are surrounded by a world of electronics and fasting technologies and hence IoT is presently an emerging technology worldwide. The Internet of Things is a network of physical devices like (vehicles, home applications, and other objects) embedded with such devices (electronics, software, sensors, actuators, and network connectivity) that allows us to enable these objects/devices to connect and exchange data. Through internet they can be inter operated with each other. With the introduction of 5G wireless communication, the world of the internet has changed. 5G wireless technology helps to deliver higher multi-Gbps peak data speeds, more reliable, ultra-low latency, increased availability, huge massive network capacity, and more similar user advantages for more users. Higher performance and better efficiency provides better user experiences and connecting new industries through 5G. In this study, we provide a vision of IoT which will be the driving force behind the huge massive digital revolution in the future. The communication technologies and the architecture of 5G in IoT systems have been discussed in detail. In addition, we also indicated the profound challenges of current standard communication technologies in IoT and future research directions of IoT.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

IoT, 5G, 4G, Wifi, LoraWan, Bluetooth, Wifi Direct, Zigbee, architecture

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Two biocontrol agent viz., Trichoderma viride and Trichoderma harzianum were evaluated to test the antagonism against Fusarium oxysporum under in vitro conditions. All the two biocontrol agents have the potential of parasitizing the growth of Fusarium oxysporum in vitro. For control of seed-borne infection of F.oxysporum the best results were obtained from biological agent Trichoderma viride. Maximum control of F.oxysporum incidence (71.15%) and infected seedling (85.0%) was obtained when T.viride was applied as 80ml concentration which was followed by 20ml concentration. Control of pathogen incidence (42.3%), infected seedlings (60%) and seed germination (76.25%) was low in 120ml concentration. In F.oxysporum infected seeds, the maximum control for pathogen incidence 56% to 80% and infected seedling 47.61% to 92.86% was observed in 20ml-240ml dilutions of T.harzianum.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Bio-efficacy, Fusarium oxysporum, lentil, Trichoderma, Wilt

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Keywords: plant diseases and pests; classification; detection; forecasting; precision farming; machine learning; smart farming.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The technology of Internet of Things (IoT) and cloud has exposed devices to vulnerabilities. As they are distributed, the different devices communicate real time information to open, private or hybrid clouds, with the possibility of collecting, storing, and analyzing in new forms. In the healthcare context, the increased deployment of IoT devices makes patient information a subject to malicious attacks depending on the security and privacy of the IoT devices. While several researchers have explored such security challenges and open problems in IoT, there is an unfortunate lack of a systematic study of the security challenges in the IoT for e-Health on clouds. In this paper, we aim at bridging this gap by conducting a thorough analysis of IoT security Vulnerability. We present then security challenges in the cloud for e-Health domain and recent proposed solutions. We also provide a proposition of an IoT system in the cloud.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

IoT; CLOUD; EHEALTH; SECURITY.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

As we go from the original text to the translated text, we can understand that the translation undergoes a subjective interpretation by the translator. This leads to a(n) (in)voluntary manipulation of certain aspects of a literary work. This article aims to study the manipulation of self-image in the translation of Amrita Pritam's Rasidi ticket.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Identity, translation, manipulation

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Face recognition, OpenCV, Deep Learning, VGG

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This project presents the prediction of traffic-violations using machine learning, more specifically, when most likely a traffic- violation may happen. Also, what are the contributing factors that may cause more damages (e.g., personal injury, property damage, etc.) are discussed in this work. The national database for trafficviolation was considered for the mining and analyzed results indicated that a few specific times are probable for traffic-violations. Moreover, most accidents happened on specific days and times. The findings of this work could help prevent some trafficviolations or reduce the chance of occurrence. These results can be used to increase cautions and traffic-safety tips. This work presents an in-depth analysis of road and traffic violations pattern using Data Analytics methods, aimed at improving road and traffic management, government planning and decision making. The study identified the road and traffic current management practice as basis of the design development and implementation of the road and traffic management system. The application managed all the road and traffic violation that will produce recorded set for analysis, which carried out from over of five years. Through data cleansing a total of twenty thousand six hundred forty record set was derived. It is important to find use of this record set, build analysis models, and use interactive tools to produce predictive data, understand the relevance, trends, and driving behaviors from the road and traffic violations data in terms of the following predictors: gender of the violator, vehicle owner address, location of violation, month and time the violation was committed and traffic enforcer who issued the citation. The study was able to establish a data analysis model by using a powerful classification and random forest which was executed using an open source application named PyCharm. Finally, the developed application was evaluated by Python.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Machine Learning, Traffic Violation,Data Analysis

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Video in the national defense, education, monitoring, entertainment and other fields have been widely used, so data security on the internet cannot be ignored. Video encryption protects the original video information and improves the security of video information. Researchers have done a lot of research on video encryption and put forward a lot of video encryption methods. Video encryption methods are mainly divided into complete encryption and partial encryption algorithm. In order to improve the generalization performance of video encryption and reduce the amount of data in video encryption, this paper proposes a video encryption on regions of interest (ROI) method based on Faster R-CNN by combining machine learning with information security. The method trains a Faster R-CNN model using the ROI dataset firstly, and then uses the model to extract ROI in the video. Different encryption algorithms are used to encrypt ROI and non-ROI in the video respectively. To overcome the shortcomings of encryption algorithms that can only be used for a specific coded video, a special video encryption method is proposed to encrypt the video with different video coding structure and has better generalization performance. Compared with the encryption method in the video coding process, this method considers the content information of the video fully and has better performance. It can be concluded through experiments that the encryption method in this paper has the characteristics of higher security and less calculation.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Video Encryption, Image Processing, Deep Learning

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Identification of faults via computer-based techniques is a growing trend in all fields these days. Two main characteristics of Bone Fracture Detection are fast identification and high precision which is described by highly sensitive device by incorporating advanced techniques and effective resource usage. The effect of undue external stress above the limits of what the bone may tolerate is a crack in a bone or bone fracture. Canny Edge detection is an image processing technique that identifies bone fracture by utilizing automatic fracture detection efficiently and overcomes the question of noise reduction. There are many methodologies accessible in today's world for edge detection, such as Sobel, Canny, Log, Prewitt, and Robert. These processes, though, are hampered by crucial limitations such as a lack of capacity to conduct multi resolution research, culminating in the failure to identify small information during the analysis. The other major drawback of the techniques is that they operate well with high resolution and high-quality pictures, but because of their intrinsic lack of ability to differentiate between edges and noise elements, they do not work well with blurry images. The approach being suggested uses the CNN algorithm to solve these issues. The findings of the simulations carried out suggest that the approach proposed is a far more effective system for conducting edge detection on aggregate scales. The suggested system has also shown to be sufficiently resilient to retrieve the required details and do the necessary analysis on key portions of the images and manage noise in a much better way than the edge detectors currently usable.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Machine Learning, Image processing using X-ray images, Canny Edge Detection, SVM algorithm.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Machine learning is an important decision support tool for crop yield prediction, including supporting decisions on what crops to grow and what to do during the growing season of the crops. Several machine learning algorithms have been applied to support crop yield prediction research. In this work, we performed a Systematic Literature Review (SLR) to extract and synthesize the algorithms and features that have been used in crop yield prediction studies. Based on our search criteria, we retrieved relevant studies from six electronic databases, of which we have selected five studies for further analysis using inclusion and exclusion criteria. We investigated these selected studies carefully, analyzed the methods and features used, and provided suggestions for further research. According to our analysis, the most used features are temperature, rainfall, and soil type, and the most applied algorithm is machine learning in these models. After this observation based on the analysis of machine learning-based algorithm, to recognize machine learning, we conducted additional researches in databases on crop yields. To find studies that used machine learning, we also searched crop yield datasets. This further study reveals that the Decision Tree Method is the most frequently employed machine learning algorithm in these studies.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Machine learning, Crop Yield Prediction, Decision tree algorithm

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Handwriting is one of the distinguishing characteristics that distinguishes a person's identity, and it is a method of identifying the writer's physical characteristics. It displays a person's genuine personality, including their actions, emotional outbursts, sense of self, rage, creativity, honesty, phobias, and a range of other traits. In this paper a multi-layered approach is proposed for analyzing personality traits by identifying the type of handwriting and classify the personality of the individual human being using deep learning models such as Resnet 34 and YOLO v5 model.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Handwriting Analysis, Personality Classification, Feature, Deep Learning.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This qualitative study investigated the lives of these, high-achieving students. It examined their experiences, characteristics, and behaviors. In this context, this illustrious study conceptualized. It is time to place the lives of high-achieving adolescents at the center of attention. The researcher strives to study the participants' real experiences through the lens of their narratives, disclosing and uncovering at every step. This study initiated a worthy effort to persuade policymakers to develop a support system for performing students.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

high-achieving students?experiences?characteristics?behaviors

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Medical field is more significant because it helps in the treatment and diagnosis of ailments, diseases and conditions and it break downs the molecular mechanism of every disease. The application of Different Equations (DE) in medical field has been executed in the prevailing work. DE refers to the mathematical statement that has involved one or more derivatives and it has also signified the rate of change of unceasing wavering quantities. DE has been general in science and engineering and in various fields of quantitative study, since it could be directly measured and perceived for systems which endured changes. Considering the medical field, DEs are used in Pathology, Cardiology, and dengue fever and in cancer therapy have been highlighted in the work. Moreover, challenges and the implementation of the DE has been explored in the work. Literature from 2018 -2022 has been preferred for the work. During the research, choosing the appropriate paper for the topics have been a broad task. The results shown that the data gained by the mathematical models could imbibe the Ordinary Differential Equation, Partial differential equations, Linear and Non-Linear equations, Homogeneous and Non-Homogeneous equations could be more precise than the data obtained from the classical model. The obtainable work will enact as a guide for future analysis based on the application of differential equation in Medical Field.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Different Equations, Cardiology, Linear and Non-Linear equations, Pathology, Variable Order

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Fluorescence, chemosensor, Schiff Base

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Herbal Cosmetic, Herbal Lipstick, Beetroot, Betanine. lips.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In recent years, Artificial Intelligence (AI) has shown excellent progress and its potential is growing day by day. An application area of AI is Natural Language Processing (NLP). Voice assistants absorb AI by using cloud computing and can communicate with the users in natural language which we can actually use. Voice assistants are easy to use . There are millions of devices that incorporate them in households nowadays. The most common devices with voice assistants are smart speakers (Alexa, SIRI)and they have just started to be used in schools and universities. The purpose of this paper is to know how voice assistants and smart speakers are used in everyday life and the way a bot can help us in Hustle Free.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Artificial Intelligence, Natural Language Processing, Smart Assistant

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Non-steroidal anti-inflammatory drugs (NSAIDs) are a class of drugs commonly used to treat both the acute and chronic injuries sustained by osteoarthritis, rheumatoid arthritis and ankylosing spondylitis athletes during training and competition. Aceclofenac is well tolerated and effective in reducing pain and/or improving functional capacity in chronic (OA, AS, RA) and acute (e.g. LBP) painful musculoskeletal conditions. It appears to be more effective than other NSAIDs and has a better Gl profile. The purpose of this research was to develop a matrix-type transdermal therapeutic system containing drug Aceclofenac with different ratios of Hydroxylpropyl methyl cellulose (HPMC) and Ethyl Cellulose and chitosan polymeric systems (F1-F9) by incorporating 25 % w/w of polyethylene glycol (plasticizer) and 0.1 ml DMSO (permeation enhancer). The physicochemical compatibility of the drug and the polymers studied by FTIR spectroscopy suggested absence of any incompatibility. Formulated transdermal films were physically evaluated with regard to thickness, weight variation, drug content, folding endurance, percentage of moisture content and percentage moisture uptake, tensile strength and In-vitro drug release studies of formulations were performed by using Franz diffusion cells.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Transdermal drug delivery systems, skin , chitosan, transdermal patch

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Education has a key and decisive role in this scenario of contingencies. The National Education Policy 2020 has therefore been transformed into the framework of this reform, which could help to build a new education system in the country, in addition to strengthening those economic and social indicators. That still needs to be improved. National Education Policy 2020 provides for quality higher education through multidisciplinary universities and autonomous colleges. We have critically examined the policy in this paper and proposed changes to ensure a seamless continuum with its predecessor in addition to its predecessor, boosting its importance. The current paper describes the analysis of the requirements for National Education Policy 2020 provisions and management practices at the university level. Recommendations are made for the design and implementation of NEPs at national and Higher Education levels.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

National Education Policy, Teacher training, Indian Education, Higher Education levels

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The present study is an approach to understand the Employment Practice based Human Resource Management at the Ambuja Cement Limited. An organization's workforce can be thought of as its human resources, which also include the values, attitudes, approaches, and beliefs of the people who are involved in running the business of the company. Through various training and development programmes, company can update the skills and capabilities of the workforce. Data sets from 2018 to 2021 were utilized for the study and it was found that Ambuja cement is managing its human resources efficiently. And for reducing the any type of problem regarding the health and safety they regularly trained their staff members.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Human Resource Management, Health and Safety, LTIFR, Employee Volunteering

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The demand in the interior industry is increasing more and more. Initially, the facility was used for lavish events, but gradually it became available to everyone. Augmented reality applications have the potential to transform this industry by allowing consumers to plan their home or office interiors on their own time, on their phone or system. This application helps in virtual design and planning of floor space with many options to choose from. The implemented system works not only by using images captured by the device's camera, but also by using the orientation of the camera relative to the ground that needs to be detected. The Unity SDK performs instant tracking to determine the relative distance between the camera and the aircraft by focusing on the ground. This provides consumers with a more realistic view to efficiently determine fit based on item dimensions, saving the manual effort of moving furniture. The implemented system is evaluated in terms of deployment times for different models and performance at different distances.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Augmented Reality, AR app, AR Furniture, ArCore, Android App

  License

Creative Commons Attribution 4.0 and The Open Definition