IJAITE- International Journal of Advanced Innovative Technology in Engineering

Archives of International Journal of Advanced Innovative Technology in Engineering(IJAITE)

Volume 7 Issue 1 January 2022

1. Security Enhancement of Authentication Scheme for Mobile Cloud Environment

AUTHOR NAME : Prof. M. S. Chinchamalatpure, Prof. Mangesh K. Nichat, Prof. Ankita N. Korde

ABSTRACT : Mobile cloud computing has been a research area of software services with lots of secure schemes to design secure data distribution systems. This paper focused on a novel approach for the Security Enhancement of Authentication Scheme for Mobile Client-Server Environment. This paper performs the task allocation, monitoring and controlling analysis, and scheduling. The proposed scheme enhances the authentication, data security, session security, integrity of data, and monitoring and controlling. Overcome the problems that are given in analysis and discussion to improve “Security enhancement of authentication scheme for the mobile client-server environment”. Our proposed algorithm produced more efficiency as compared to the existing methodology. The proposed scheme is provided to exclude the necessity for the user authentication session such that the total user authentication processing time can be reduced. The authentication scheme is mainly for distributed cloud computing service environments. The trusted SCG is responsible for generating and distributing the private keys to the users and service providers securely. This scheme requires fewer computing resources on both the mobile user’s devices and service providers. In mobile cloud computing services, a software scheme is proposed using the analysis of the various software services.

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2. Sampling of Air Quality in Amravati City

AUTHOR NAME : Prof. Manish S. Deshmukh, Prof. Dr. Sachine S. Saraf, Prof. Nilesh P. Bhopale

ABSTRACT : Air pollution has become an environmental problem of public concern worldwide. Amravati city is a fast-developing city, the rural population around the city migrated towards the city. Because various facilities such as education, market, business, health, and entertainment are available in the city; increasing urbanization increases the vehicular traffic day by day. In addition to these five stars, MIDC at Nandgaonpeth which is a distance of 20km from the core Amravati city is growing tremendously. It is observed that the air quality of Amravati city is degrading day to day which affects human health in the city and adjoining areas. The Sofia thermal power station contributes a large quantity of SPM, RSPM, SOx, NOx, etc. In our study, the concentration of suspended particulate matter (SPM) and OZONE were monitored over periods of 24 hours at Amravati city. Pollutant concentrations were used to determine the AQI. The five location locations have for select or the assessment of SPM and OZONE based on traffic volume, locality, and availability of electricity. The High-Volume Sampler (HVS) is used to find out the concentration of SPM and O; Spectrophotometer is also used for evaluation for O; concentration. SPM is collected on filter paper. This study identifies the potential of pollutants and the degree of air pollution. Further, management strategies to minimize the effect of air pollutants have also been suggested.

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3. Development of Intelligent Solar Dryer for Farming Applications

AUTHOR NAME : Yash Patil, Umesh Barde, Ashutosh Patil, Yash Sawarkar, Prajwal Parbhankar, Akshay Kharwade, Dr. Sumant Kadwanee

ABSTRACT : Drying is basically a phenomenon of removal of liquid by evaporation from a solid material. In the drying technique, psychometric is of importance as it refers to the properties of the air-vapor mixture that controls the rate of drying. When an adequate supply of heat is provided for drying, the temperature and rate at which the liquid vaporization occurs will depend on the vapor concentration in the surrounding atmosphere. Solar drying refers to methods of using solar energy for drying. A solar dryer is an enclosed unit, to keep the food safe from damages, birds, insects, and unexpected rainfall. There are various types of solar dryers it’s mainly classified as active and passive dryers. Active dryers are a forced convection system and passive are natural convection systems of air. The passive dryers are more economical than active dryers. There is a need to make solar dryers more efficient and cheaper. In this paper, we reviewed the various researches in solar dryers for drying agricultural products. The main aim of this study is to design a solar dryer that can overcome the limitations of traditional drying systems. The motive is to build a cheap and efficient dryer that can be economical for the masses particularly for the farming applications like drying of Moringa leaves.

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4. A Comparative Analysis for Selecting Multi-task Cascaded Convolutional Neural Networks (MTCNN) in Image Based Face Recognition System

AUTHOR NAME : Sachin Manohar Inwate, Dr. G. R. Bamnote, Prof. Y. S. Alone

ABSTRACT : Facial Recognition is a biometric software application capable of uniquely identifying or verifying a person by comparing and analyzing patterns, based on the person’s facial features. There are several reasons for recent increased interest in face recognition, including rising public concern for security, the need for identity verification in the digital world, face analysis and modelling techniques in multimedia data management and computer entertainment. Face recognition has recently gained significant attention, due to availability of feasible technologies, and advances in face modelling and analysis techniques. Although systems have been developed for face detection and tracking, reliable face recognition still offers a great challenge to computer vision and pattern recognition researchers. Face recognition process includes major components such as face detection, tracking, alignment and feature extraction, etc. In this paper, we have compared two face detection models, Multi-task Cascaded Convolutional Networks (MTCNN) and Viola and Jones Haar Cascades Model. This paper will comparatively analyze the result obtained through Haar Cascade and MTCNN and highlight the significance of MTCNN model over Haar-Cascade model while detecting a face from the captured photograph.

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5. Study of Association Rule Mining

AUTHOR NAME : Devyani Parate, Bharti Shende, Tinal Ganeshkar, Pratiksha Meshram, Megha Gaikwad, Tejasvi Moon, Prof. Vaishali Gedam

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6. Smart Transportation and Fire Detection in Industrial IoT Environment based on Digital Image Processing

AUTHOR NAME : Dr. S. V. Pattalwar, Prof. Dr. S. W. Mohod, Neha W. Randhe

ABSTRACT : In this paper proposed the fire detection robot for industrial application based on image processing on the Internet of Things (IoT) environment. This fire detection robot can be used as a supplementary to the firefighters in critical situations. An IR sensor, a temperature sensor, and a camera have been used to function this robot. The camera is used to detect the fireplace at the same time as the temperature sensor senses the temperature level in the surroundings and informs about the statistics about the temperature of the locality. The robot can run in both a manual control system and an autonomic control system. This paper discusses the detail and top working condition of a fire detection robot and recapitulates an IoT-based communication system to monitor the fire-affected area using Wi-Fi and also discusses the elaborate functions of each module and the implementation of the system. All the data are sent to the cloud server for further investigation. The proposed fire detection robot has been used for many experiments and proper evaluation has been done based on its performance. It has an excellent performance to extinguish the fire in an emergency.

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