Volume 10 | Issue 6

 Abstract

The purpose of our proposed system is to predict the stock market from previous years stock data. Increase in uncertainty in stock market gives us the motive for our proposed system to make it easy and available for common people to know and avoid losses using other technologies available today. The approach consists of the following steps - Data pre-processing, clustering, classification and visualization. Classification and correlation of data set makes it easy to understand similarities & dissimilarities amongst the data objects. In our proposed system data collection was done from yfinance. The significance of our proposed system is to give the commoner an insight in stock market pattern and awareness to avoid losses in prior. Stock prices cannot be predicted exactly since it is neither systematic nor random. Even though we cannot predict exact price changes due to uncertainty but can predict the price patterns. The predicted results cannot be 100% accurate but the results show that our application helps in reducing occurrence of losses to a certain extent by providing idea about stock market price pattern. We are collecting stock data from source yfinance. This huge data is used as a record for creating a yfinance stock market analysis. So, the main challenge in front of us is developing a better, efficient stock market pattern detection tool to identify stock patterns effectively and give any suggestion to the viewer on how to proceed further

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STOCK MARKETING PREDICTION USING DEEP LEARNING

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Lane detection plays an important role in intelligent vehicle systems. Therefore, this paper presents a robust road lane marker detection algorithm to detect the left and right lane markers. The algorithm consists of optimization of Canny edge detection and Hough Transform. The system captures images from a front viewing vision sensor placed facing the road behind the windscreen as input. Then a series of image processing is applied to generate the road model. Canny edge detection performs features recognition then followed by Hough Transform lane generation. The algorithm detects visible left and right lane markers on the road based on real-time video processing.

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LANE LINE DETECTION WITH COMPUTER VISION USING ARTIFICIAL INTELLIGENCE

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PREDICTION OF CYBER ATTACKS USING MACHINE LEARNING TECHNIQUE

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To design a recommendation system for the users to recommend the best topics among the users and to develop a system that promotes the interest of the user by recommending them with customized topics. LDA model is used for extracting all the topics of the user. Popular topics are then analysed and extracted. Influence analysis is carried out to find the influenced topics for the users and the topics are classified to positive and negative topics.Those topics are then ranked using SVM algorithm. Finally recommendation of topics are given to the users.

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PERSONALIZED RECOMMENDATION OF TOPIC BY INFLUENCE ANALYSIS USING SUPPORT VECTOR MACHINE ALGORITHM

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Cloud data loss or disruption can occur because of a natural disaster, human error, malicious activity, or other causes. It can damage your reputation, cause client attrition, and lead to unnecessary delays and expenses. Still, most backup systems have been designed and optimized for outdated environments and use cases. That fact, generates frustration over currently backup challenges and leads to a greater willingness to modernize and to consider new technologies. This proposed system set up a flexible data backup operation, using Disaster Backup as a Service (BaaS) solutions, mixing them up with FogDrive local storage system.

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FOG DRIVE DISASTER BACKUP AS A SERVICE FOR CLOUD SERVER USING IOT AND FOG COMPUTING

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In the past decades, there is an increasing interest in predicting markets among economists, policymakers, academics and market makers. The objective of the proposed work is to study and improve the supervised learning algorithms to predict the stock price.Stock Market Analysis of stocks using data mining will be useful for new investors to invest in stock market based on the various factors considered by the software. Stock market includes daily activities like Sensex calculation, exchange of shares. The exchange provides an efficient and transparent market for trading in equity, debt instruments and derivatives. Our aim is to create software that analyses previous stock data of certain companies, with help of certain parameters that affect stock value. We are going to implement these values in data mining algorithms and we will be able to decide which algorithm gives the best result. This will also help us to determine the values that particular stock will have in near future. We will determine the patterns in data with help of machine learning algorithms.

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STOCK MARKET PRICE PREDICTION USING RANDOM FOREST AND SUPPORT VECTOR MACHINE

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The on-demand service system is built based on service-oriented architecture that is going to be a business model through which Normal people can connect with the domestic workers and provide features. Providing services to the people who are in seek for service. Providing jobs to the domestic workers. Allows the administrator to control the entire system with a web enabled back-end user interface. The System consist of two interfaces for the user the web enabled application and an android application for variable access. The On-demand is a system that connects the service providers and people who seek for service. It is based on SOA architecture and also have an advantage of location-based service. Implementation this application, there is no need of much expensive hardware and software, internet connection and a desktop with basic operating system and a browser will be sufficient. The entire system is built for an organization known as passhouse. This system was built in an intention to showcase the efficient utilization of the services which will be very useful for the developers to save time in doing CRUD operations in common language. This can be easily achieved by modifying the data model as per the requirements.

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ON-DEMAND SERVICE SYSTEM USING SOA

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Data de duplication is one of important data compression techniques for eliminating duplicate copies of repeating data, and has been widely used in cloud storage to reduce the amount of storage space and save bandwidth. To protect the confidentiality of sensitive data while supporting de duplication, the convergent encryption technique has been proposed to encrypt the data before outsourcing. To better protect data security, this proposed system makes the first attempt to formally address the problem of authorized data de duplication. Different from traditional de duplication systems, the differential privileges of users are further considered induplicate check besides the data itself. We also present several new de duplication constructions supporting authorized duplicate check in hybrid cloud architecture. Security analysis demonstrates that our scheme is secure in terms of the definitions specified in the proposed security model. As a proof of concept, the proposed work implements a prototype of our proposed authorized duplicate check scheme and conduct test bed experiments using our prototype. The proposed work shows that our proposed authorized duplicate check scheme incurs minimal overhead compared to normal operations.

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IMPROVING ACCESSING EFFICIENCY OF CLOUD STORAGE USING DEDUPLICATION SCHEMES

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????? ??? ???? ?? (Goods and Service Tax- GST) ?? ?? ?????????? ?? ??? ?? ?????? 1 ???? 2017 ???? ???? ??????? ??? ????. ?????? ????? ??? ???? ?? ???? ???? ?? ?? ???? ???? ?????????? ??? ????????? ?? ????????? ???????? ?????????? ?????? ?? ???????????? ???? ????. ?????, ????? ??? ???? ?? ?? ?????????? ?????? ???? ???? ??? ????? ??? ???? ?? ?????? ????? ?????? ????? ??? ???? ?? ?????? ?????? ???? ??????? ??? ????????? ????? ????? ?????. ???? ?? ????, ?????????????? ??????, ???? ??????? ????, ITC ??????, ????? ??? ???? ?? ?? ??? ?-?? ??? ??????? ????????? ???????????, ??????? SMEs ?? ??????? ?????? ???? ???. ?? ????? ?????? ?????? ??? ??????? ??????????? ?????? ?????? ???? ????? ??????? ??????? ???? ???.

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GST Good and Services Tax

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The evolution and growth of social networking and modern web technology have made an individual's online presence permanent. People frequently express their thoughts, ideas, and emotions through social networking links, with the most popular activity being the discussion of everyday events, which may include private or public conversations. Bullying that involves technology is referred to as cyber-bullying. Bullying attacks target teenagers and young people who spent lot of time on social networking sites. The rise of social media, especially Twitter, has caused confusion about the meaning of free expression, which has given rise to a number of worries. Cyber-bullying is one of these issues, a severe global problem that has an impact on both people and societies. There have been numerous reported attempts to intervene, prevent, or lessen cyber-bullying; however, these efforts are unworkable since they depend on the victims' interactions. Victims of this behavior may experience hopelessness and other potentially fatal issues. It is necessary to create monitoring and detection procedures for potentially hazardous Internet behavior. By using machine learning, we can create algorithms to automatically identify cyber-bullying content and recognize language patterns used by bullies and their victims. Therefore, it is crucial to identify cyber-bullying without the victims' participation. Additionally, numerous machine learning classifiers were applied, including the K-nearest neighbor technique, linear regression, decision trees, and the Support Vector Machine classifiers, Random Forest, Naive Bayes, and AdaBoost. The most precise supervised learning algorithm was used to identify communications that contained cyber-bullying.

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cyber-bully, cybercrime, social media, traditional bullying, social Networking sites, Harassment.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

?????? ????? ???? ?? ???? ?? ?? ?????? ?? ???? ?? ????? ???? ??? ?????????? ?????? ?????? ???? ???? ??? ?????? ??????? ??????? ?????? ?? ?????????? ??? ??????? ???? ??, ???? ?? ??????? ?? ?????? ????????? ???????? ?????? ????? ?????? ?? ?????????? ??? ??? ???? ???? ???????? ?? ????? ???????? ?? ????? ?? ????? ???? ?? ?????? ???? ??? ???????? ??? ???? ?? ???????? ??????? ??? ?????? ?????????? ??? ??????? ???????? ?? ????? ???????? ?? ????????? ?????? ???? ??? ?????? ??? ?????????? ????????? ???????? ???? ?? ?????? ???? ???? ????????? ?? ??? ??? ????? ???? ?? ??????? ??? ?????? ?????????? ?? 60 ?????? ??? ?????????? ?? ??? ?????????? ?????????? ???? ?????? ???? ???? ??????? ??????? ???? ?? ??0 ??????? ?????? ??????? "??????? ????? ??????? ?????" ?? ?????? ???? ???? ??????? ???????? ???? ???????, ???? ????? ??? ???????? ?????? ?? ?????? ???? ???? ???????? ??? ??? ???? ??? ?? ?????? ?????????? ?? ?????? ??????? ?????????? ?? ???????? ?? ??????? ???? ????? ?? ???? ??????? ??? ?? ?????? ?? ?????? ?????? ????????? ??????? ?? ???????? ?? ???????? ?? ????? ?? ??? ?????????? ??????? ???? ??? ??? ?? ???? ??? ???? ?? ?????? ??????? ?? ?? ?? ????? ?? ????? ??? ?????

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?????? ????????, ??????? ????????, ???????? ????, ????? ????????

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PWM Techniques for the Reduction of Harmonic Magnitudes at Multiples of Switching Frequencies

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PWM Techniques for the Reduction of Harmonic Magnitudes at Multiples of Switching Frequencies

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We're entering a new era of computing technology that many are calling the Internet of Things (IoT). Machine to machine, machine to infrastructure, machine to environment, the Internet of Everything, the Internet of Intelligent Things, intelligent systems--call it what you want, but it's happening, and its potential is huge. We see the IoT as billions of smart, connected "things" (a sort of "universal global neural network" in the cloud) that will encompass every aspect of our lives, and its foundation is the intelligence that embedded processing provides. The IoT is comprised of smart machines interacting and communicating with other machines, objects, environments and infrastructures. As a result, huge volumes of data are being generated, and that data is being processed into useful actions that can "command and control" things to make our lives much easier and safer--and to reduce our impact on the environment. The creativity of this new era is boundless, with amazing potential to improve our lives. The following thesis is an extensive reference to the possibilities, utility, applications and the evolution of the Internet of Things. The Internet of Things (IOT) describes a kind of network which interconnects various devices with the help of internet. IOT assists to transmit data with among devices, tracing and monitoring devices and other things. IOT make objects 'smart' by allowing them to transmit data and automating of tasks, without lack of any physical interference. A health tracking wearable device is an example of simple effortless IOT in our life. A smart city with sensors covering all its regions using diverse tangible gadgets and objects all over the community and connected with the help of internet. Thus, IoT is paving the way for new dimensions of research to be carried out. This paper presents the recent development of IoT technologies and discusses future applications and research challenges.

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Internet of Things (IoT), Architecture of IOT; Implemantation;IOT Appliacations ;future technologies; IoT Challenges ; Conclusion

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Flight of time

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This study aims to analyze the influence of Goods and Services Tax (GST) on the financial performance of selected automobile firms in India. The research objectives are to examine the financial performance of four selected automobile companies in India and to analyze the impact of GST on their financial performance. The selected companies are Eicher Motors Ltd, Mahindra and Mahindra Ltd, Maruti Suzuki India Ltd, and Tata Motors Ltd. The study uses financial statements from 2013-14 to 2016-17 for Pre-GST data and financial statements from 2017-18 to 2020-21 for Post-GST data. Ratio analysis and t-test techniques are used to analyze the financial performance of the selected companies. The study concludes that there is no significant difference in Return On Capital Employed, Net Profit Margin, and Asset Turnover Ratio during Pre and Post-GST periods for the selected automobile companies. This study provides important insights into the impact of GST on the financial performance of selected automobile firms in India and can help policymakers and industry experts in understanding the implications of GST on the automobile industry.

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GST, Financial Performance, Automobile Industry

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There are different categories that fall in the broader category of women headed households. They are widowed, abandoned, separated and single mothers, women whose husbands have migrated for employment for considerable period of time, and women whose husbands have lost their function as economic providers due to unemployment or illness. This typology also includes women who are defacto heads of households and includes women whose husbands are present at home but are non- functional economically. Thus, a women headed household need not necessarily be single parent family, since the basis for the definition of women headed household is "the women roles as the economic provider regardless of the presence or absence of the spouse at home".

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Women Headed Households and Social Stigma: A Study in Jammu District

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In the present globalised and industrial society, human beings are being exposed to various diseases due to pollution. Also various other conditions are prevailing. So to get rid of health risks it is becoming difficult. So to meet the medical expenses for health problems, the concept of health insurance came into existence. Health insurance is a contract between the insurer (the company) and the insured (the customer) such that later will pay an amount at regular intervals known as premium and the former will pay the amount on the happening of the event. The event may be the diseases/surgeries which will be predefined and mentioned in the policy conditions. Consumers need to know about the different policy conditions in addition to the diseases coverage. There exists a difference in the awareness about health insurance among urban and rural consumers. Hence, in this paper an attempt is made to study about the difference in the consumer awareness among urban and rural consumers towards health insurance. It also studies the requirements of the consumers regarding health insurance.

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Health Insurance Company, Premium, Urban and Rural Consumers

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Purpose of Study: The aim of this study is to identify the challenges and implications of using virtual space in the English Language teaching and learning process. The present global scenario is in a dire necessity of teachers to be updated in new innovative methods of teaching learning processes. The teachers are encouraged to develop a virtual class space to harmonize their teaching process and the students are supposed to devote their learning hours in this virtual space where the teachers may render different sorts of activities to enhance their language learning. Methodology:The study was conducted among twenty five English Language teachers using a background information questionnaire to capture the insights and perceptions of teachers about the virtual English classrooms. Main Findings: This study identifies different challenges and implications of teachers towards the use of virtual space in English language teaching and learning process. The study reveals that the virtual learning spacecan be madean effective tool that facilitates the language learners to feel at ease and to create a stress free learning environment by following certain strategies to overcome the challenges. Application of this study: Considering the various technological findings and their effectiveness as a learning platform, this study tries to provide an overview of the challenges of using thevirtual platforms and strategies to overcome those challenges. The strategies to overcome the challenges can enhance both technical skills and language skills of not only the students but also the teaching fraternity. Novelty of the study: The global education system has embarked upon the utilization of the traditional classrooms and also additional virtual classrooms to improve the quality of teaching learning process at all levels.

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English Language Teaching, Language Learning, Virtual Class Space, Learning Platform, Innovative Teaching, Challenges.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

আধুনিক রাষ্ট্রচিন্তার ক্ষেত্রে ম্যকিয়াভেলি ছিলেন পথপ্রদর্শক এবং যে কারণে তাকে আধুনিক রাষ্ট্র দর্শনের জনক বলা হয়। তার রাষ্ট্রীয় ভাবনাচিন্তায় ক্ষমতাকে খুব বেশী গুরুত্ব দেওয়া দিয়েছেন। ক্ষমতাকে কি করে ধরে রাখা যায় এবং রাষ্ট্র ব্যবস্থায় কায়েম করা যায় তার উপর আলোকপাত করতে গিয়ে তিনি ‘দ্যা প্রিন্স’-এ গ্রন্থে রাজপুত্রকে বিভিন্ন উপদেশ দিয়েছেন। তার ভাবনা-চিন্তায় যেটা বহিঃপ্রকাশ ঘটে তা হল ইতালিকে ঐক্যবদ্ধ করা। তাহলে কি তিনি ইতালিকে ঐক্যবদ্ধ করতে গিয়ে নীতি-নৈতিকতাকে জলাঞ্জলি দিয়েছেন? বা রাষ্ট্রনৈতিক চিন্তা ভাবনার ক্ষেত্রে ও ব্যক্তি জীবনে ধর্মকে কিভাবে ম্যকিয়াভেলি দেখেছেন। প্রবন্ধটির মূল উদ্দেশ্য হল ম্যকিয়াভেলির রাষ্ট্রনৈতিক চিন্তার ভাবনায় ধর্ম ও নৈতিকতার প্রাসঙ্গিকতা কতোখানি তা দেখা।

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ক্ষমতা, ধর্ম, নৈতিকতা, ভাগ্য, গুণ, রাষ্ট্রনীতি, মানুষ, ইতালি, ফ্লোরেন্স, ম্যকিয়াভেলি ইত্যাদি।

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NARI PROGOTIR BISWASTHA DALIL:HAZAR CHURASHIR MAA.

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Creative Commons Attribution 4.0 and The Open Definition

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NARI PROGOTIR BISWASTHA DALIL:HAZAR CHURASHIR MAA.

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Creative Commons Attribution 4.0 and The Open Definition