http://localhost:8080/xmlui/handle/123456789/409 2026-06-23T06:21:30Z 2026-06-23T06:21:30Z http://localhost:8080/xmlui/handle/123456789/3554 2023-01-03T08:38:51Z 2020-12-14T00:00:00Z

Title: Voice Control Elevator for Prevention of Physical Touch Abstract: Nowadays, usage of the elevator is very common everywhere in out day to day life. The main aim of elevator is to transport the things like person or goods in fraction of seconds. As it has number of advantages so we prefer to use elevator. But as you know, corona virus is spreading all over the world; it is important and mandatory to take precaution by individual and we are sure our propose system help you out in this. The existing elevators can be used by pressing floor number as per needs. These elevators cannot be used by paralyzed, blind and physically challenged persons. In this paper we proposed voice control to elevator to prevent a physical touch as we all as all types of user can be used it easily. We used Arduino Uno ATmega328P microcontroller, Bluetooth module HC-05 and Motor driver unit with Android application. The speech recognition system provides the communication mechanism between the user and the Arduino based elevator control mechanism. We used of a DC motor for moving the elevator based on the voice/speech commands given by the user from mobile application. Its process the data and the result are generated in form of according to the user choices; that is elevator is moves upside or downside.

2020-12-14T00:00:00Z Kumar, Binod Kumar, Binod http://localhost:8080/xmlui/handle/123456789/3541 2023-01-02T08:29:11Z 2019-07-01T00:00:00Z

Title: Web Page Prediction Using Genetic Algorithm and Logistic Regression based on Weblog and Web Content Features; Web Page Prediction Using Genetic Algorithm and Logistic Regression based on Weblog and Web Content Features Authors: Kumar, Binod; Kumar, Binod Abstract: As website users are increasing day by day, user behaviour analysis for improving the website performance attracts many researchers. This paper introduces the web page prediction model by involving the Logistic Regression (LR), which takes web page content similarity as input in group of similar weblog rules. To get association rules, this work introduce Feed Forward Counter (FFC) model for identifying the association rule with single data iteration technique. Both regression and FFC increased the learning rate for enhancing the accuracy of page recommendation. For adopting the dynamic situation in the work, final prediction is done by Particle Swarm Optimization (PSO) algorithm, which uses learned regression value in fitness function value evaluation. Experiment is performed on instantaneous dataset attained from ProjectTunnel website, which is collection of weblog and keywords. Results shows that proposed Logistic Regression based Web Page Prediction Model (LWPPM) for next page prediction system has improved various evaluation parameters like precision, coverage, m metric.

2019-07-01T00:00:00Z Sisodiya, Anand K. Khushbu, N Dhawale, V.R. http://localhost:8080/xmlui/handle/123456789/3532 2022-12-29T10:13:00Z 2019-12-05T00:00:00Z

Title: AN ANALYTICAL STUDY ON CLOUD COMPUTING Authors: Sisodiya, Anand K.; Khushbu, N; Dhawale, V.R. Abstract: Cloud computing is regarded as massively extensible, an on-demand configurable resources computing model. It approaches the cloud infrastructure in a distributed rather than dedicated infrastructure where users can have full access to the extensible, reliable resources. Data generated by IoT attached objects is high, cloud is a key to store the incalculable data generated by these attached devices and it is the forward stepped towards the green computing, it removes the setups and installation steps as the cloud user accessing the hardware resources co-exist on different platform in distributed way. Cloud computing environment furnished a great flexibility and availability of computing resources at a very lower cost. This arriving technology opens a new era of e-services in different disciplines. In this paper, we seen cloud computing with its applications, most common Cloud Service Provider such as Google, Microsoft, Amazon, HP, and Sales force and we present innovative applications for cloud computing in Enterprise Resource Planning.

2019-12-05T00:00:00Z Shilpa B., Sarvaiya Sherekar, Swati S Thakare, V.M. Sherekar, Alisa http://localhost:8080/xmlui/handle/123456789/3530 2022-12-29T09:44:48Z 2019-02-10T00:00:00Z

Title: Taxonomy of Authentication Techniques in Security Attacks of Internet of Things Authors: Shilpa B., Sarvaiya; Sherekar, Swati S; Thakare, V.M.; Sherekar, Alisa Abstract: The Internet of Things (IoT) comprises a complex network of smart devices, which frequently exchange data through the Internet. Given the significant growth of IoT as a new technological paradigm, which may involve safety-critical operations and sensitive data to be put online, its security aspect is vital. This paper studies the Taxonomy of security attacks within IoT networks is constructed to assist IoT developers for better awareness of the risk of security flaws so that better protections shall be incorporated.Internet of Things (IoT) is slowly but steadily becoming part of different aspects of our lives, with applications ranging from smart homes, to wearable devices, to healthcare, etc. This wide spectrum of applications results in shared data containing large amount of users’ private information. The security of such information becomes a paramount concern. The IoT security requirements include data confidentiality, data integrity, authentication, access control, privacy, etc. In particular, authentication of IoT devices has a particular importance given the variety of attacks which might result from its breach .This paper also provides a survey of the different authentication schemes proposed in the literature. The survey aims to help other researchers in delving into the details of such techniques by going through their classification and comparison. The classification has been done based on the inherent features of these authentication techniques such as being distributed vs. centralized, flat vs. hierarchical, and more others. A comparison between these techniques according to the used evaluation models and their security analysis is illustrated.

2019-02-10T00:00:00Z