Volume 9 | Issue 4

 Abstract

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Market Return , National Stock Exchange , Volume , Liquidity , Real Estate

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Food security and climate change have a close relationship. While food grains production is being affected globally due to climate change, the lack of food grains is affecting human health and livelihood in the Central Himalayan Study States, because the highest dependence of human health has always been on food. Unlike climate change, climate elements have affected food security by affecting all the physical and human resources of the Himalayan, and all sections of society (from low to high) are in a state of food insecure. Food security is going to be a very sensitive phenomenon in the Central Himalayan region. Most of the hill and subject complex structures do not fit in equal conditions for food products, where about 60 to 70% of the food production depends on the rainfall and local weather. These changing climatic conditions have made food insecurity and women's lifestyles painful for the Central Himalayan community. While the lack of governmental access is not able to succeed fully in the mountainous inaccessible conditions, the climate change does not show any possibility other than the opposite situation in the production of traditional food grains and starving the communities living in the Middle Himalayan study areas she gives. Thus the natural and cultural conditions of the Himalayan regions have been affecting food security for the last 3-4 decades. The solution of which is to maintain the food security level in the traditional form of modernism by adopting concrete strategies (environmental sustainability, sage method, agriculture sector, production capacity, storage or tea access in inaccessible places) in Himalayan study regions.

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Climate Change and its Impact on Central Himalayan Rural Community Food Security & Status, (Special Reference to Ballia Region)

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Wireless body Sensor Networks (WBSNs) includes of tiny nodes with sensing and wireless communications ability. In many routing, power management, and data distribution protocols have been specifically designed for WSNs where energy awareness is an essential design issue. The focus of routing protocols which may differ depending on the application and network architecture. This paper identifies various issues and challenges in detection of effective routing in WBSN. An outline the design for routing protocols in WSN monitor by a wide-ranging survey of different routing techniques. The routing techniques are classified into three classifies based on the essential network structure: flat, hierarchical, and location-based routing. In addition, these methods can be classified into multipath-based, query-based, negotiation-based, QoS-based, and coherent-based depending on the protocol operation. A study of this paper recognizes the design tradeoffs between energy and communication overhead savings in every routing technique and also includes review of advantages, performance issues of each routing technique. This research paper concludes with possible future research areas.

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Wireless body sensor network, Routing protocol, Flat-based routing, Hierarchical-based routing, Location-based routing, Multipath-based, Query-based, Negotiation-based, QoS-based.

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In Our day-to-day life usage of vehicles are increasing rapidly. So the vehicle-related crimes, thefts, and violation of traffic rule increasing. So ANRP(Automatic Number Plate Recognition) is introduced which solves all the existing problems. As there are plenty of ANRP approaches as well as solutions, even there exist some unsolved problems like the characters on the number plate are unrecognizable, lighting also plays as a parameter and ANRP recognize only horizontal number plates but what about some angles number plates. In this paper, we approached some other techniques to overcome some existing problems, and the number recognized by the system will cross-compare with the database to retrieve the owner's information. This work presents the usage of CV and Keras to localize the plate and extraction of text from it.

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Automatic Number Plate Recognition (ANPR), Keras OCR (optical character recognition) ,CV(computer vision), Artificial Neural Network (ANN),Processing, Localizing , Character Segmentation and text extraction

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Electronic communication commonly known as e-commerce has been a boon for modern businesses. E-commerce involves buying and selling of goods and services, transferring of funds thus refining relationships for value creation over an electronic media, predominantly the internet. E-commerce has created such a disruption in the traditional way of doing businesses that no single business, how large or small, was left untouched by it. It has revolutionized the way how businesses are done and how transactions used to take place between two parties. While offering every service a traditional business offers, e-commerce has fulfilled all the drawbacks and challenges. It had improved the customer service, transaction speed, balancing the difference between supply and demand and bridged the gap between the retailer and consumer drastically. While e-commerce revolution has significantly impacted the business practices, expanding its foot to every nook and corner by bringing all types of businesses online it came to a standstill when COVID-19 started impacting the world. E-commerce which ruled over the business practices came to a halt overnight due to the logistical problems which occurred due to the complete shutdown of transportation due to COVID-19 restrictions. But when the COVID-19 restrictions were lifted, and transportation resumed there was once again a boom in the e-commerce businesses and so did the crime over the internet. This is where machine learning came into play. In this paper we will be talking about E-Commerce business trends and how they are evolving and the security problems that are occurring in the ecommerce. What is the future of e-commerce with machine learning and how COVID-19 impacted the e-commerce.

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E-commerce, Internet, Artificial Intelligence, Technology, COVID-19.

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 Abstract

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Job Satisfaction, Employee Welfare, Work Environment, Personal Facilities

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This study is to know about the impact on marketing through social media and bookmarketing sites with special reference to city. The data has been collected from 125 students in Coimbatore district by applying convenient sampling technique. Statistical tools such as percentage analysis, chi-square analysis, weighted score analysis have been used to analyse the data. The study has attempted to aim to study the factors which influences the customers to go for online shopping. To identify the demographics of people using the social networking sites as well as does shopping online regularly and to understand the satisfaction level of customers with respect to online shopping.

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Plants possesses certain ability to produce chemical compounds which act as protective mechanism from being getting harm from pests, microbes or any other animals. These chemical compounds when ingested by human or any other animals produce harmful effect in the body. These chemicals compounds also termed as antinutrients. Some of the antinutrients from plant based food product are saponin, phytic acid, oxalate, alkaloids, lectins, protease inhibitor, amylase inhibitor, goitrogens and cyanogenic Glycosides. Most of these antinutrients reduced the bioavailability of nutrient in our body and can cause deficiency of certain nutrients. Processing methods like soaking, pressure cooking, sprouting, dehulling, ordinary cooking, boiling and mechanical processing can help in the reduction of these antinutrients to considerable extent.

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Antinutrients, phytic acid, saponin, nutrients, utilization, bioavailability

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hospital management,blockchain

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Autonomous robotic mapping has led us to places well beyond our reach, places where human expeditions are too dangerous, technically challenging, or too expensive. The robot collects data from its surroundings and also builds a 3D map, which it will use in real-time to move around thus making it autonomous. The user in real-time will also receive the data retrieved by the robot. The HCSR-04 ultrasonic sensor connected to the Arduino board is controlled and a pulse of the ultrasonic wave is sent. The sensor then listens for any reflected wave that might come back from an obstacle. The Arduino notes this time interval between pulse sent an echo received and calculates and stores this data. It also stores at what angle this data was recorded and then commands. The board makes the servo increment of 1 degree from 0 to 180 and back to 0 continuously in a loop while simultaneously recording ultrasonic data in centimeters. This data is sent over to the serial port and is picked up by the processor software and after further processing, it plots and updates the RADAR plot. the servo to move to the next position. The data is retrieved from the system using the Arduino software and relayed to MATLAB to make the plotting. Real-time data is shown as a moving graph on Processing IDE, which is linked with the Arduino Uno.

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Ultrasonic, Radar, MATLAB, Arduino, Mapping, 3D, Sensor

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The purpose of this research paper is to revisit the idea of online learning, freelancing and project out-sourcing.We are trying to propose a platform where you can team up with experts and work together to achieve your goals.

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Naives Bayes, Longest Common Subsequence, Machine Leaning, Posterior Probability, Prior Probability

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Sea foods and goods had become one of the major life source and nourishment thing in this advanced modern world whereas a countries nourishment is based on both agricultural and sea goods. Fisher men who put their life on danger to provide sea goods to the common people where they face many problem such as poor navigation through sea etc. During the process of collecting sea goods these people face a major issue of crossing the borders. Each country forced strict orders and rules to not to cross the borders and the fishermen are allowed to do fishing only on their nations permitted areas. Many fishermen lost their life where they knowingly or unknowingly cross these borders and get arrested or sentenced to death. This is because of the poor navigation systems provided by our nation to these people. Some of the officially available efficient navigation systems are high of cost and it is not affordable by most of the fishermen. Implementing a navigation system with advanced features like asynchronous network connectivity and offline features within their mobile device or Tablet will help to overcome this problem.

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PAW Server, Asynchronous Network, GPS.

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Energy saving in the building is a whale of matter to reduce the impact on the user consumption bills. The move for alternative and sustainable energy resources promotes the future energy need for all the residential and commercial sectors, which is considered vital. The technology of intelligent sensors and energy controlling devices adds up the values for the Energy Performance in a controlled manner. Building Information Modeling and Energy auditing with optimised energy utilisation is considerably need for our nearing future. Careful analysis in selecting building material and used with a calculated geometrical area of the building conform with natural resources is discussed in the present study. Power Consumption of a residential complex with different floor levels is observed for energy auditing study. Energy auditing was done on various parameters, namely human behaviour impact, thermal, materials used, the orientation of the building, Electronics used etc. Further BIM tools used for the building model to analyse and optimise the energy with a cost estimate reduce electric bills' onus, especially for the low-income household. After careful analysis of the building, various enhancements were suggested to the residents to reduce power consumption.

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Energy Auditing, Building Information Modeling, Human behaviour impact.

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 Abstract

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Network, wireless device & Wi-Fi connection

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IOT, WI-FI, SENSORS, INTERNET, HOME AUTOMATION

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Stenosis is the type of cardiovascular disease which accounts for a large proportion of death. Computed Tomography Angiogram (CTA) modality is used for detection of cardiovascular diseases. CTA produces multiple images and diagnosis of stenosis in large images is time consuming. Hence, we propose an automated system to segment and track the coronary arteries in order to locate abnormalities present in the arteries. To segment the coronary arteries, the vesselness has to be enhanced using a Hessian based approach followed by morphological operators. In tracking, the vessel direction is obtained by modeling the tensors and branches are identified using the masking method. The presence of stenosis is detected while tracking based on intensity measurement and radius variation. The performance of the proposed system has been evaluated by comparing the outcome with the ground truth images given by the experts.

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hessian matrix, tensor flow, backtracking algorithm , segmentation , Ubuntu

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It is important to find the pre-construction cost of Commercial buildings so that the owner of the business can analyse the profit/loss margins. The construction manager and the owner should always keep in mind that the investment cost should not precede the future income. It is important to maintain a balance between planned costs, both direct and overhead, and wished profit. Through this project we aim to calculate and analyse the Abstract of cost of a commercial building. Moreover, we also aim to prepare and analyse the Bar Bending Schedule and Construction Schedule.

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Estimation of commercial building Bar bending schedule of commercial building Costing of commercial building

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Throughout India, there has been a rapid growth in the telecom towers and the unpredictable electric grid supply in India has become a great challenge to this. Telecom towers usually has diesel generator, batteries and various power management equipments, these generators runs on fossil fuels. Estimated, the telecom tower industry consumes over 2.5 billion litres of diesel annually. This also leads to theft in large amount from the sites and has negative impact on network availability and operational expenditure. This paper accentuates the issue of telecom sector and discusses the system that has been designed and tested, which will offer a solution to reduce the operational cost and increase the availability.

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Fuel Theft, Fuel monitoring, Fuel level management

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With the advances in nanotechnology, its applications in the field of medicine have reached new heights. Nanoparticles bound to various non-reacting metals along with different drugs are used in the treatment of various diseases. Majorly, this technique has been useful in treating cancer, a tumor-inducing disease. Many studies have shown that Silver Nanoparticles (AgNPs) can be used at a large scale in therapeutic applications due to their easier mode of action, specificity to cancerous cells, their function as good carriers, and other biological factors. The biological synthesis of these nanoparticles is a greener approach where they can be extracted through microbial as well as plant sources. These AgNPs are tested both in vitro and in vivo conditions to know the effectiveness of the drugs on the tumor. This paper aims to review AgNPs synthesized from biological sources and their utilization in cancer treatment.

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Anticancer activity, biosynthesis, cancer cells, nanoparticles, silver nanoparticle, targeted chemotherapy.

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Mobile application, tourism industry, corona virus, smart phones.

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Creative Commons Attribution 4.0 and The Open Definition