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Research Paper

IoT based ATM monitoring using cloud data with sensors

In this system, we are using sensors like IR sensor, LDR sensor, Temperature sensor, smoke sensor, and the vibration sensor. The IR Sensor is used to monitoring the person IN/OUT in the ATM room. If more than 2 person enters the ATM, then it gives an alert to the user. LDR sensor is used to monitor the light intensity inside the ATM room. If the LDR output values are lower than the threshold value, then the ATM room light will automatically switch ON. Temperature Sensor is used if the temperature inside the ATM room goes below the specified limit, then the AC can be switched off, thus we can have a power saving. Smoke Sensor is to monitor the smoke level in the ATM room. If the smoke sensor value crosses the threshold value, the buzzer will get ON automatically. The Vibrator Sensors used to monitor the ATM when try to break. This will lock the door and send the message to the police station. The whole system relates to the IoT. So the user can monitor the ATM (like temperature level, Smoke) from anywhere and also can control the loads (Like AC, light, door) from the long distance

Published by: P. Visalakshi, D. V. Sai Teja, K. Muni Kiran

Author: P. Visalakshi

Paper ID: V5I2-1864

Paper Status: published

Published: April 12, 2019

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Research Paper

Face recognition based door unlocking system using Raspberry Pi

Today we are facing security issues in every aspect. So we have to resolve these issues by using updated technology. In this project, we are using the Face recognition module to capture human images and to compare with stored database images. If it matches with the authorized user then the system will unlock the door by an electromagnetic lock. The need for facial recognition system that is fast and accurate that continuously increasing which can detect intruders and restricts all unauthorized users from highly secured areas and aids in minimizing human error. Face recognition is one of the most Secured System than biometric pattern recognition technique which is used in a large spectrum of applications. The time and accuracy factor is considered about the major problem which specifies the performance of automatic face recognition in real-time environments. Various solutions have been proposed using multicore systems. By considering the present challenge, this provides the complete architectural design and proposes an analysis for a real-time face recognition system with LBPH Algorithm. In this algorithm, it converts the image from color to greyscale image and divides into pixels and it will be allocated in a matrix form and those images will be stored in the database. If an image is detected then microcontroller will send power to the motor driver unit then the electromagnetic lock will unlock the door and it will lock again when there is no power supply to that unit. Finally, this paper concludes for the advanced implementations achieved by integrating embedded system models against the convention.

Published by: Thulluri Krishna Vamsi, Kanchana Charan Sai, Vijayalakshmi M.

Author: Thulluri Krishna Vamsi

Paper ID: V5I2-1856

Paper Status: published

Published: April 12, 2019

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Research Paper

Design and development of web portal for IT service management

Through analyzing the IT service management framework and associated processes of Organization, this paper establishes various indicators of IT service management process. The weights of each measure are calculated with a logical hierarchy process (AHP), and the evaluation was executed in the Organization. And the suggestions are proposed with the meditation of both the evaluation results and the real position of Organization’s IT service management. The case is extremely considered in the views of IT service management objectives and misunderstandings, customer fulfillment model of IT service management, knowledge supporting formation of IT service management. It is terminate that if the organization wishes to successfully contraption IT service management’s customer satisfaction model, it should eliminate the misunderstandings of IT service objectives first, while the advocacy of knowledge supporting structure of IT service management can play a number of effects.

Published by: Mukunda Vijay Dahake, Mahesh Arun Pandit, Minal Nago Rane, Komal Sanjay Sharma

Author: Mukunda Vijay Dahake

Paper ID: V5I2-1828

Paper Status: published

Published: April 12, 2019

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Research Paper

Intelligent automatic traffic control using IoT

With an outsized population and enormous quantity of vehicles, there's conjointly a giant hassle of automotive accidents or road accidents, and with these overcrowded roads, there's a problem of delay in first aid service. To overcome this delay in first aid service, our project gives a solution that is “Intelligent Automatic Traffic Control with Ambulance Using IoT” which includes alerting and tracking mechanism with automatic traffic light controlling system such that the ambulance can achieve a freeway in order to provide the first aid to the patient as fast as possible. To monitor the traffic level, we use IR sensors. The level of the traffic is updated in the server page using IoT. The RF Transmitter and receiver is used to detect the ambulance arrival. The traffic signal is controlled automatically.

Published by: S. Giridhar Manikanta, G. Malar Selvi, K. Surya Narayana Raju

Author: S. Giridhar Manikanta

Paper ID: V5I2-1818

Paper Status: published

Published: April 11, 2019

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Review Paper

Chatbot generation and integration: A review

In the modern era of technology, chatbot is the next big thing in the domain of conversational services. A chatbot is a virtual person who can effectively talk to any human being using interactive textual as well as verbal skills. There are many statistics available which suggest that integration of chatbot in any business as a part of their customer service increases the business progress and customer satisfaction exponentially. Hence it becomes crucial to understand the crux of the chatbot technology. Owing to extensive research in this field, there are numerous methodologies available to create a conversational entity. It becomes quite confusing to decide a perfect method to generate conversational agent for the desired purpose. Also, generation of chatbot is one issue and successful integration is in itself another problem which is many times overlooked. This paper provides some valuable insights on how to generate as well as how to integrate a chatbot.

Published by: Aarsh Trivedi, Vatsal Gor, Zalak Thakkar

Author: Aarsh Trivedi

Paper ID: V5I2-1840

Paper Status: published

Published: April 11, 2019

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Research Paper

Estimation of chlorophyll content in young and adult leaves of some selected plants in polluted areas

In the present study chlorophyll a (Chl. a) and b (Chl. b) content of ten different plants have been recorded. The qualitative difference of chlorophyll a (Chl.a) and b (Chl.b) content between young and adult leaves were observed. A total of ten plant species were selected namely Mango (Magnifera indica L.), Hibiscus (Hibiscus rosa-sinensis L.), Neem (Azadiracta indica Juss), Ashoka (Polyalthia longifolia (sonner)Thw, Enum), Ficus (Ficus benghalensis L.) andNerium indicum Mill. Gard Datura stramonium L, Acacia nilotica(L) Willd .ex Del.ssp.indica (Benth)Brenan. and Bogainvillea spectabilisWilld, Ficus religiosa L.were used for analysis of chlorophyll content. In all the cases the adult leaves showed higher chlorophyll content in comparison to young leaves. This has been proved that the age of leaves was an important factor for chlorophyll content.

Published by: Jayashri Mulay, Samrudhi Kokate

Author: Jayashri Mulay

Paper ID: V5I2-1838

Paper Status: published

Published: April 11, 2019

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