Journal of Research in Computer Science and Engineering ISSN: 2457-0818 (Online)

Authors: Riya Mishra, Dr.Amit

Abstract: The underutilized portion of the wireless spectrum will need to be better utilized due to the expected exponential growth in traffic volume in 5G-based networks. Apps for smartphones have caused an increase in data traffic on cell phone networks recently. As a result, expanding the network's capacity to accommodate new applications and services is critical. D2D communication with multiple hops requires more nodes for data transmission, especially when cooperatively-operated relays are used. Long-Term Evolution (LTE) is the most recent and most technologically advanced cell phone technology that is about to be introduced to the market. LTE and its advanced version appear to be an appealing solution for many businesses since they offer exceptional peak data speeds in both the uplink and downlink directions. Public safety communications is currently one of the fastest-growing fields in the world. In accordance with two homogeneous Poisson Point Processes, beacon-enabled and simple LTE terminals are dispersed in the vicinity of a significant event. This research looks into direct-to-device (D2D) communications. In this paper, we explore the likelihood of LTE mobile terminals forming in D2D networks using a stochastic geometry technique, and we then build an unique D2D protocol.

Keywords-LTE, Machine Learning, Device to Device Communication, Public Safety Applications.

Authors: Omkar Javali, Varsha Desai, Snehal Kadolkar, Sapana Yakkundi

Abstract: Traffic law violations are a major cause of concern in our society. People’s irresponsible and careless attitudes towards driving laws has the potential to weaken the moral fiber of our society. While some progress has been made to update traffic laws, the human factor in our existing system remains a hurdle, resulting in dissatisfactory outcomes that could have been prevented. Legislation has mandated the use of safety belts and helmets by drivers, but with millions of drivers on the roads every day, it is difficult for police officers to monitor compliance. To ensure compliance with traffic regulations and improve road safety, an effective and efficient system for automatic traffic rule violation detection and fine collection is crucial in modern cities. Fortunately, the emergence of technological advancements has enabled Machine Learning techniques to provide solutions to this problem. By leveraging image processing and Machine Learning, our proposed system is able to analyze CCTV footage to detect traffic violations, such as the failure to wear seat belts or helmets. Machine Learning algorithms such as Convolutional Neural Network (CNN) and Automatic Number Plate Recognition (ANRP) can be used to increase the accuracy and efficiency of detecting traffic rule violations and thus improve compliance with the law and road safety.

Keywords:  Machine Learning, Violation Detection, ANRP, CNN

Authors : Dr. Ankita Nigam,B. Sowmya Reddy, B. Sai Santhoshi, R. Pallavi , P.K. Aparnna,Y. Archana, M. Rashmitha

Abstract: Artificial Intelligence is being used to resolve problems both small and huge on Earth and beyond. Rapid developments in AI show promise in advancing space exploration by leaps and bounds.  From providing personal assistance to astronauts to helping we better understand the Sun, here’s how AI can assist in the exploration of space. Artificial Intelligence is already making our lives simpler on Earth, but what about beyond the borders of our planet? Can AI be of use on space missions and for space exploration in general? Today, many companies, such as NASA, ISRO and Google, have already implemented AI to search for new celestial bodies, life on other planets and even streamlining the jobs of astronauts when they are in space.

The Role of AI in Space Exploration:

• Personal Assistants in Space
• Processing Satellite Images
• The Role of AI in the Development of Satellites and Spacecraft
• Conducting System Monitoring
• The High Demand for AI Products Has Increased Demand for Data Annotation Personal Assistants in Space.

Keywords: - AIKO, Mirage Library, ISS, ADR, NLP, Artemis Mission, Post-mission disposal guidelines.

Authors : G sravan,  Dr Ankita Nigam

Abstract: The explosive growth of the internet has brought many good things such as E-commerce- banking, E-mail, cloud computing, but there is also a dark side such as hacking, backdoors etc. hacking is the first big problem faced by governments, companies, and private citizens around the world, hacking includes reading others e-mail, steal their credit card number from an online shopping site, secretly transmitting secrets to the open internet. An Ethical Hacker can help the people who are suffered by this hackings. This paper describes about ethical hackers, their skills, their attitudes, and how they go about helping their customers find and plug up security holes.

Keywords :- Hacking, e-mail , backdoors.

 

Authors: Dr. Rohit Rastogi, Rayush Jain Prabhinav Mishra, Prateek

Abstract :Housing Management System is a web based project through which a user can easily access all the rental houses around his workplace in just a few clicks. Customarily, people have to contact the brokers for finding the rental homes and also have to visit several places. This  is a tedious process and can take a lot of time but our web page will create a direct link between a user and the owner with transparency. As the user opens the web page there will be two options to register and login . When the user clicks the register option a new tab will open with two options. Register as tenant or register as owner. User has to select his category and fill in a few details along with his mobile  number and email ID. Then the OTP will be generated and the user has to enter that OTP and create a password to register. For log-in, the user has to use his mobile number or email-ID along with the password. After Log-In users will have complete details along with the images of  all the available rental flats and houses around the location which he has chosen. We will also provide the categories which will further help the user to find the  place to live as per his convenience. Once the user finds the place which fulfills his needs, he can directly contact the owner.

 

There will be one more available option for the owner who can also add new rental homes as per availability. So our webpage will act as a broker between the owner and the tenant with no extra cost and transparency. Both the parties will be in direct contact and this will help in saving time and money for the users. Our webpage will use technologies such as HTML , CSS, JavaScript. We will add new and powerful features to our web page which will provide easy user friendly access and an attractive interface.

 Keywords:  HTML, CSS, Java Script, UI, Web Application

 

Authors: Dr. Rohit Rastogi,  Manvi Tyagi, Pranav K, Pranjal Vaidywan

Abstract: This research work represents an online working website of laundry containing a management system and payment gateway. Many of the laundry firms don’t have a proper management system to store the records, which include many problems such as, mixing up customer’s clothes or sometimes losing up the record register. This system helps the users to have to keep track of their requests/orders, they can also set drop off time at their convenience. Two login portals will be there one for admin and one for users. User portal will be used by the customers to make orders whereas from the admin portal admin can see all the users’ information and the status of the orders. Rates of laundry can be changed by the admin from the admin portal according to market price, occasionally the discounts/offers will also be provided.  As the payment gateway is also included on the website customers can use that for making payments. Each customer is assigned with a unique ID on registration to avoid contrasting information and their rest information is kept safe. The technical skills include PHP/nodeJS, mongoDB/MySQL, Python, HTML, CSS & JavaScript.

 

This solution solves many problems and brings ease to operating the business. All the customers’ information is managed properly as well as their service requests/orders and record of the orders can never be lost. The design of the website is also unique and has a user friendly interface. Therefore, it will also be fun for the users to interact with the website and providers of the service have an opportunity to run the business smoothly.

Keywords:  Database, HTML, SQL, MongoDB, Python, Customer Satisfaction, Interface, Management

Authors:- Praveen Akhtar, Imran Ahmed

Abstract:- All of the requirements listed above are significant for developing strategies for application protection. Based on this study, we identify the benefits and drawbacks of the various systems and list some of their common features. We also derive valuable conclusions regarding the various protection types and compare them. Furthermore, we seek to throw light on the issues that may obstruct the implementation of defences in practise. Finally, we share some lessons and advice that new defence developers may find useful.

Keywords:- Web Applications, WSN, Cross-Site Scripting SQL.

Authors:- Shiv Shankar Prasad, Mahesh Rai, Roshani Kumari

Abstract:- The current study attempts to analyse and anticipate online buyers' human behaviour. The goal of this research is to give a review of recent work on consumer purchase forecasting in the context of e-commerce. This article is intended to assist in the establishment of small-scale websites. The primary contribution is a conceptual study framework that methodically maps the available knowledge into two key goals: purchasing session prediction and purchase decisions.

Keywords:- Clustering, feature selection, Customer behaviour.

Authors:- Pankaj Kaushal, Deepanshu Sharma

Abstract:- Cloud computing might be a new computer paradigm for accessing and altering internet applications and resources. The major function of this paradigm is resource sharing rather than individual ownership of personal devices or local servers. The phrase "cloud computing" refers to the internet-based computing paradigm. This means that processing power, storage, and software are given to corporate computers in a huge data centre and sent to client devices through the internet. The installation and maintenance expenditures are avoided, which distinguishes this from traditional computer design. When compared to conventional computing, this results in greater resource utilisation and improved customer satisfaction. If not managed properly utilising validated procedures, this might lead to a higher chance of system shutdown or an imbalance in the number of requests or load on a certain system. The goal of this research is to look at some of the existing load-balancing strategies.

Keywords:- Cloud Computing, Cloud, Computing, Virtual Machines, Load Balancing

Authors:- Arya Rupal Kajave_, Shahid Aslam Nadaf, Tejas Gajanan Narute, Harshvardhan Sanmati Patil

Abstract:- Clinical laboratories must thrive using supportive analytical tools to maintain the cost control and profitability during economic uncertainty, the shortages of laboratorians, and public healthcare emergencies like the COVID-19 pandemic. R Programming is a comprehensive open-source and platform-independent tool that can manage large datasets and display key performance indicators through real-time dashboards. This study seeks to innovate the performance excellence framework of small-sized clinical laboratories located in the India, using R Programming's Shiny App dashboard. It will also encourage small-sized clinical laboratories to transition into a next-generation enterprise by digitizing their decision-making tools and improve performance using data analytics.

Keywords:- R Programming, Clinical Laboratory, Performance Excellence, Shiny App, Healthcare Information Systems

Authors:- Ridhdhi Marmik Naik

Abstract:- Compared to other biometrics, electrocardiograms (ECGs) have gained widespread acceptability as mediums for validating animations in numerous security applications, especially in new and emerging technologies. Our study utilizes this important trait to advance available machine and deep learning ECG authentication systems by leveraging the use of Fog computing servers that offer connection to Internet of Things (IoT) devices while maintaining access to computational and storage resources. Specifically, in our proposed technique, the preprocessing, feature extraction and classification routines are combined into one unit, while individual ECG signals from the database are directly fed into a convolution neural network (CNN) model and subsequently classified as an accepted or unaccepted (i.e., rejected) class. Additionally, we tailor our authentication system as a cost-efficient one focused on reducing latency, which makes it ideal for applications on Fog computing platforms. To validate our proposed model, we applied it on standard ECG signals from the Physikalisch- Technische Bundesanstalt (PTB) database where outcomes of 99.50%, 99.73%, 100%, and 99.78%, respectively that are reported for accuracy, precision, recall, and F1-score indicate the tenability of deploying our technique in real-time authentication systems. Furthermore, we present discussions regarding the performance of the model relative to recent techniques that are built on traditional machine and deep learning techniques.

Keywords:- Deep Learning, Biometric identification. ECG, Information Security, IoT, Fog computing, Industrial Data Integration.

Authors:- Dr. Ayushman Patel, Riddhi Sarvaiya

Abstract:- It is difficult to picture a world without the internet. Shopping, like everything else, has altered as a result of the internet. No one wants to acquire a product only to be unsatisfied later because of a tiny annoyance caused by anything that was not exposed when investigating the product owing to a lack of resources. The answer is to enter the realm of Augmented Reality (AR). The consumer may visualise the thing he wants to buy via augmented reality. The consumer may ensure that the goods meet his expectations from every viewpoint. This can help the user avoid making poor judgments. To put the solution into action, the seller must submit facial photographs of the goods as well as the necessary measurements so that a model can be produced and displayed to the seller.

Keywords:- Shopping, Augmented Reality, Products, Buyer, Seller, Visualizing, 3D

Authors:- Pramod Kumar Mundra, Savita Kumbhar

Abstract:- “At the moment, social media has a wealth of information on its members. Some of the methods for extracting information from social media provide us different applications in various disciplines and investigations. Extraction of information from social sites/media in Product Analysis provides a lot of benefits such as knowledge about the newest technology, real-time market scenario updates, and so on. Twitter is one of the social media platforms that allows users to submit tweets with a restricted amount of characters and share the message (tweet) with their followers. It enables developers to access the data for their purposes. Details are gathered and sentiment analysis is conducted in the implemented module. Tips and information can be offered to the user based on the outcomes of data and emotional analysis. The running module may do data and sentiment analysis on data from numerous sectors, as well as user views and suggestions on various items. These outcomes can help businesses stay current, for example. The built system may assist estimate the consequences of various items and actions in numerous domains using this technique.â€

Keywords:- Social Media, Numerous Domains, Python, Methods

Authors:- Rasel Hossain

Abstract:- After surveying the current state of the literature in the history of computing, this paper discusses some of the major issues addressed by recent work in the history of technology. It suggests aspects of the development of computing which are pertinent to those issues and hence for which that recent work could provide models of historical analysis. As a new scientific technology with unique features, computing in turn can provide new perspectives on the history of technology.

Keywords:- History of computer, computer, computer research, Computing education, Virtual Machine and computer science.

Authors:-Priyanka Meathil, Jitendra Ahirwar

Abstract:- In this paper, a Low power CMOS LC Voltage Controlled oscillator for C band has been designed. The cross coupled differential LC VCO topology is used to optimize the trade- off between the phase noise and power consumption. A 70nm CMOS technology has been used for wireless applications. To achieve high frequency tuning range a variable MOS capacitance has been used by varying gate voltage of MOS in order to meet this VCO topology for C band applications. Simulation is performed by Tanner EDA 14.0 on 70nm CMOS technology. The tuning frequency of the LC VCO circuit is from 4.99 to 5.38GHz this can obtain by applying the tuning voltage ranging from 1.5 to 2.7 V. This topology dissipates power of 1.40mW at the Maximum oscillation frequency which is very low as compare to conventional VCO. 

Keywords:- Voltage Controlled oscillator (VCO), tuning frequency, tuning range, power consumption, CMOS.

Authors: Priyanka Meathil, Jitendra Ahirwar 

Abstract: In this paper, we have studied about the different topologies used to design CMOS LC VCO for lower power consumption and lower phase noise. Here we have studied four different topologies and compare it on the basis of power consumption and phase nose. After comparison between these topologies, it is observed that CMOS LC VCO with pseudo resistance provides minimum phase noise and differential cross coupled CMOS LC VCO provides lower power consumption. The cross coupled differential LC VCO topology is widely used for optimization the trade- off between the phase noise and power consumption.

Keywords: Voltage Controlled oscillator (VCO), phase noise, tuning, power consumption, CMOS

Authors: M.Shalima Sulthana, C.Naga Raju

Abstract: Especially with the rapid growth of multimedia content, facial recognition has received a lot of attention, especially in recent years. A face as an object is made up of a number of detectable features. Therefore, it remains the most challenging area of research for computer vision and image processing scientists. This research article tried to cover most facial features, such as coherent posture, aging, brightness, and partial occlusion. It is considered an indispensable element in the face recognition system when working with face images.

Keywords: Gravitational Force (GF), Facial recognition, Image processing, Machine learning, Face detection

Authors: Manasi Bobde, Ruchika Bhaganagrkar, Shubhangi, Shailesh Sahu

Abstract: E-commerce is one of the fastest growing segments in the Indian Economy. Though marked by high growth rate, the Indian e-commerce industry has been behind its counterparts in many developed and emerging economies, primarily due to a relatively low internet user base. In a study conducted by global management consultancy firm AT Kearney in 2015, there were only 39 million online buyers in India; a tiny fraction of the 1.2 billion who live in the country. However, increased technological proliferation combined with internet and mobile penetration, presents a favorable eco-system for the development of e- commerce in India. The country is currently at the cusp of a digital revolution. Launch of 4G & 5G services and decline in the tariffs of data plans and prices of data cards/USB dongles have reduced the cost of ownership of an effective internet connection. Availability of low cost smart phones and the extension of internet and broadband to the remotest corners will boost the augmentation of the internet user base, effectively bridging the gap between potential online buyers and actual buyers. The demographic dividend of the country also seems to encourage and favor the growth of ecommerce. The survival of the e-commerce firms in a highly dynamic environment becomes a challenging task when coupled with the cutthroat competition prevailing in the sector. The onus then lies on the firms to constantly adapt and innovate while providing an information rich and seamless experience to ensure customer loyalty. This study attempts to explore the evolution of e-commerce in India and identifies various challenges to as well the factors responsible for the future growth and development of e-commerce. The rapid changing Internet environment has formed a competitive business setting, which provides opportunities for conducting businesses online. Availability of online transaction systems enable users to buy and make payment for products and services using the Internet platform. Thus, customers’ involvements in online purchasing have become an important trend. However, since the market is comprised of many different people and cultures, with diverse viewpoints, e-commerce businesses are being challenged by the reality of complex behavior of consumers. Therefore, it is vital to identify the factors that affect consumers purchasing decision through e-commerce in respective cultures and societies. In response to this claim, the purpose of this study is to explore the factors affecting customers’ purchasing decision through e- commerce (online shopping).

Keywords: B2B, B2C, E-Commerce, Literature Review, SEM, Pay-per-click (PPC), e-Commerce Implementation, Implementation Phase, Systematic Literature Review. 

Authors: Shivanagi Aishwarya Mahesh, Manasi Ajit Patil, Ms. U. L. Kokate 

Abstract: Recent century is full of technology; none field can’t be remain without use of technology. Agriculture is one of those fields. More than 42% of the total population in the world has chosen agriculture as their primary occupation. The existing system of farming is manual. The farmers have to do many works, such of them are also not good for their health like spraying fertilizers can causes cancer and skin diseases.

Smart IOT based technologies can be employed for the efficient farming. A smart IOT based Digital Krushi Pal project is proposed for this purpose. This system utilizes different types of sensors for collecting the data and that data can be viewed on android application or web browser.

Keywords: Automation, Sensors, IoT, Temperature, Humidity, Soil moisture.

Authors: Aakriti Namdev, Anand Vardhan Bhalla

Abstract: In the past few decades, many noise reduction techniques have been developed for removing noise and retaining edge details in images. The process of removing noise from the original image is still a demanding problem for researchers. There have been several algorithms and each has its assumptions, merits, and demerits. The prime focus of this work is related to the processing of an image before it can be used in applications. The processing is done by de-noising of images. In order to achieve this, combination of de-noising algorithms are being used. Image denoising algorithms WT (Wavelet transform)and KLT(Karhunen – Loeve transform) are applied on images to remove the noise that are either present in the image during capturing or injected into the image during transmission. The WT shows an excellent performance in the denoise field while KLT shows a good performance in the signal reconstructed ability. De-noising plays a very important role in the field of the image processing. It is often done before the image data is to be analyzed. Denoising is mainly used to remove the noise that is present and retains the significant information, regardless of the frequency contents of the signal. De-noising has to be performed to recover the useful information. The main purpose of an image-denoising algorithm is to eliminate the unwanted noise level while preserving the important features of an image. PSNR, MSE and MAXERR parameters are being improved using combination of image denoising algorithms WT (Wavelet transform) and KLT(Karhunen - Loeve transform).

Keywords: WT (Wavelet transform), KLT (Karhunen - Loeve transform), Discrete Fourier Transform (DFT), Fast Fourier Transform (FFT)

Authors: Ishara Devendra, Rasika Vijithasena, N.A.U.H. Jayarathna, SamindaPremarathne

Abstract: The banking sector is a significant part of the economy committed to holding financial assets for others. One of the critical services provided by the banking sector is the provision of loans to support individuals and businesses with their financial conditions. A bank must incur many risks due to all of its financial activities, one of which is credit risk. This research focuses on banks' credit analysis, which gives loan facilities to businesses. It empirically evaluated several data mining techniques to classify the possibility of the person or business to fulfil the obligations. The Decision tree and Naive Bayes models outperformed the state-of-the-art by offering the best performance. Finally, this study suggests that a better approach to credit risk analysis is required to maintain bank profitability.

Keyword: Banking Sector, Bank loans, Credit Analysis, Data mining

Authors: M .Shalima Sulthana, C. Naga Raju

Abstract: Machine learning makes the systems to find, capture, store and analyse the facial features automatically. Face recognition has a major role in interpretations of expressions for identifying human faces. In the area of machine learning facial recognition is a challenging problem and lots of attempts were made for identifying invariant features of face but they recognize the face when it is completely visible. In this paper some of the techniques are investigated and proposed discriminative robust local binary patterns technique (DRLBP) for classification of face images with different emotional expressions and rotation variant images. For database construction GLCM with six features is applied on the output of DRLBP and multi linear regression classifier is applied for classification. The accuracy is estimated by using confusion matrix. The experimental results are calculated it’s clearly observed that our proposed method shows better accuracy.

Keywords: LBP, PCA, DRLBP, MLRM and GLCM

Authors: Swati Terak, Neha bhardwaj

Abstract: In the present world everyone wants comfort in any work and technology is also developing fast. So, people are taking advantages of online technologies for doing their most of the work by comfort from their home. From one of these technologies online food ordering websites is also the best way to the food lovers/customers for order food online. This has been developed by looking on the convenience of the people. In this method of online food ordering through the web application, customers can do this process by following few methods by using the food ordering website from their home. It is the easiest way of order food online and provides comfort for food lovers without traveling anywhere. Customers can order their preferable food items from the available food items list on online food ordering websites. This way of online food ordering has many advantages so; most of the people prefer this way to order food online.

Keywords: Customer Perceptions, Online Food Ordering, Food ordering website

Authors: Al Mahmud Al Mamun, Md. Rakibul Hasan, Md. Mokhlesur Rahman, Md. Mahbubur Rahman, Sondip Poul Singha, Md. Yasin Khan

Abstract: Artificial Neural Networks is a computational model inspired by the structures and functions of biological neural networks. Artificial neural networks are used in all sectors of the recent world with its life-changing applications. In this paper, we review artificial neural networks. We specially focus on the history, architecture, learning technique of the artificial neural networks. Sign language is a visual communication system between hearing-impaired or hard of hearing people. The communication foundations are based on finger shapes, hand shapes, hand movements in space concerning the body, hand orientations, and facial expressions. In this paper, we have proposed a Deep Convolutional Neural Network to recognize the hand gestures. Our system uses the pre-processed images for training and is capable of extracting signs from video sequences under minimally cluttered and dynamic backgrounds using skin color segmentation. In our method, 44 signs of the five fingers are defined. The static images have been pre-processed as grayscale images and the model is trained with 100 numbers of images for each sign. Our proposed model has achieved an accuracy rate of 95.6 % for the five test images.

Keywords: Artificial Neural Networks, Deep Convolutional Neural Networks, Hand gestures, Sign language recognition

Authors: Ashish Patil, Franklin Almeida, Abiyel Gaikwad, Shridhar Shiradwade, S.A Shinde

Abstract: The principle objective of the majority rules system is "vote" by which individuals can choose the contender for forming a proficient government to fulfil their requirements and demands to such an extent that their standard living can be improved. An internet casting a ballot framework for Indian political decision is proposed without precedent for this paper. The proposed model has a more noteworthy security as in citizen high security secret word is affirmed before the vote is acknowledged in the fundamental information base of Election Commission of India. The extra element of the model is that the citizen can affirm if his/her vote has gone to address up-and-comer/party. In this model an individual can likewise cast a ballot from outside of his/her apportioned body electorate or from his/her favored area.

Keywords: E-Voting machine, Online election system, Online voting system, E-Polling station, E-ballet.)