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Vijay Gulhane

SGB Amravati University, Information Technology, Faculty Member

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Savitribai Phule Pune University

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Papers by Vijay Gulhane

Smart Platform for PUC Vendors about PUC Expiration & Reminders

International Journal for Research in Applied Science and Engineering Technology, May 31, 2023

Air pollution caused by vehicular emissions is a significant environmental and public health conc... more Air pollution caused by vehicular emissions is a significant environmental and public health concern, and regulatory measures, such as Pollution Under Control (PUC) certificates, are implemented to monitor and control vehicle emissions. However, the majority of the people fail to renew their PUC certificates because they don't get any reminders, unlike reminders sent by insurance companies, The PUC vendor have to manually send the PUC expiration reminder message to the client. The PUC vendors often have to keep track of their clients using notebook and pen and manually check the expiration dates of certificates daily, which can be a time-consuming and error-prone process. These inefficiencies can lead to a poor customer experience, increased workload for PUC vendors, resulting in lack of compliance with PUC regulations and potential fines. The proposed platform provides a smart and innovative online platform designed specifically for PUC vendors to streamline their operations and improve compliance with PUC regulations. The platform is built using the MERN (MongoDB, Express.js, React, Node.js) stack, providing a modern and scalable solution for PUC vendors to manage their clients and send PUC expiration reminders via SMS and WhatsApp. The platform includes various features such as a centralized database for storing client information, automatic PUC expiration reminders through SMS and WhatsApp, and a user-friendly interface for PUC vendors. This platform aims to enhance the efficiency and effectiveness of PUC vendors by reducing manual paperwork, minimizing errors, and improving customer service. It is expected to contribute to better compliance with PUC regulations, leading to reduced vehicular emissions and improved air quality.

Review on Data Mining Techniques in Bioinformatics for Extracting Enzymes Names from Literature

IJARCCE, 2017

This paper highlights some of the basic concepts of bioinformatics and data mining. The major res... more This paper highlights some of the basic concepts of bioinformatics and data mining. The major research areas of bioinformatics are highlighted. The application of data mining in the domain of bioinformatics is explained. It also highlights some of the current challenges and opportunities of data mining in bioinformatics.

Intelligent malware detection system

International Journal of Physical and Social Sciences, 2013

Malicious programs spy on users’ behavior and compromise their privacy. Unfortunately, existing t... more Malicious programs spy on users’ behavior and compromise their privacy. Unfortunately, existing techniques for detecting malware and analyzing unknown code samples are insufficient and have significant shortcomings. We observe that malicious information access and processing behavior is the fundamental trait of numerous malware categories breaching users’ privacy (including key loggers, password thieves, network sniffers, stealth backdoors, spyware and root kits), which separates these malicious applications from benign software. Commercial anti-virus software is unable to provide protection against newly launched (“zero-day”) malware. In this dissertation work, we propose a novel malware detection technique which is based on the analysis of byte-level file content. The proposed dissertation work will demonstrate the implementation of system for detection of various types of malware.

Image Inpainting Using Multiscale Salient Structure Propagation

International Journal of Managment, IT and Engineering, 2012

In this study, a new image inpainting approach using multiscale salient structure propagation is ... more In this study, a new image inpainting approach using multiscale salient structure propagation is proposed. The proposed approach consists of four stages, namely, (1) detection of salient structure(s), (2) inpainting of salient structure(s), (3) inpainting of surrounding areas of salient structure(s) by modified ant colony optimization (ACO), and (4) inpainting of remaining missing regions. Based on the experimental results obtained in this study, as compared with four comparison approaches, the proposed approach provides the better image inpainting results. Image inpainting can be roughly defined as: for an image containing missing regions, we want to fill the missing regions so that a visually plausible outcome is obtained. Image inpainting has developed very quickly and becomes one of the important contents of Digital Image Processing. Image inpainting can be employed in various applications, such as repairing aged images and multimedia editing. It is highly valuable in the protection of culture relic, movie and video special effect making.

Diet Recommendation Model Using Multi Constraint Metaheuristic and Knapsack Optimization Algorithm

International journal of next-generation computing, Feb 15, 2023

Various nutrients are necessary for humans to remain healthy and active. Maintaining a high quali... more Various nutrients are necessary for humans to remain healthy and active. Maintaining a high quality of life now depends on keeping track of everyday eating habits to prevent consuming too many calories and incorrect nutrients. Computerized applications can help Indian elderly people maintain and improve their overall health by providing pertinent information such as calories and nutritional details and following a strict diet plan suited to their ailments. In order to create optimized diet plans that take disease prevalence, food availability, and user preferences into account, the paper offers the Multi Constraint Metaheuristic integrated with the Knapsack approach. The solution's quality is attained by applying a dynamic, personalized set of food items. The average error percentage obtained by the suggested algorithm is 4.15.

Analysis of Demand, Architecture and Challenges of the Internet of Things

Zenodo (CERN European Organization for Nuclear Research), Oct 31, 2022

The Internet of things involves sensor-configured devices, processing units, and various technolo... more The Internet of things involves sensor-configured devices, processing units, and various technologies to connect and exchange data between devices. IoT involves many tools and technologies that can provide the facility to interact with each other. The IoT with such advanced devices, tools and technologies help the advancement of current society. This paper includes the basic concepts of IoT, market demand analysis, four foundational pillars of IoT, and the architecture of IoT.

Analysis of Bluetooth Versions (4.0, 4.2, 5, 5.1, and 5.2) for IoT Applications

IGI Global eBooks, 2022

IoT includes many sensors that have to collect the data and send it to the superior nodes; for su... more IoT includes many sensors that have to collect the data and send it to the superior nodes; for such interaction between the IoT devices, various wireless technologies are available, like infrared, Li-Fi, WI-Fi, Zigbee, Bluetooth, etc. Among all the available, Bluetooth proved the most promising short-range wireless communication technology due to various factors. To fulfil the increasing demand for wireless connectivity, the Bluetooth SIG must continuously perform up-gradation. Here, analysis of Bluetooth versions are discussed based on the characteristics such as speed, bandwidth, range, power, message capacity, beacon provision, compatibility, reliability, errors detection, correction capability, advertisement packets, duty cycle, slot availability masks, and many more. This analysis concluded that all the versions have their own set of merits and limitations. For the basic IoT applications (limited functionalities), Bluetooth 4.0/4.2 is a good choice, while for the complex IoT applications (advance functionalities), Bluetooth 5/ 5.1/ 5.2 is better.

Analysis of Lightweight Approaches for IoT Protocols

Zenodo (CERN European Organization for Nuclear Research), Dec 20, 2022

Current IoT systems are characterized by using resource-constrained electronic devices therefore ... more Current IoT systems are characterized by using resource-constrained electronic devices therefore new lightweight protocols should be designed to reduce communications costs, computational costs, and storage costs. For such requirements many researchers have already proposed various novel methodologies here we have analysed all of these. This research paper includes a survey of lightweight approaches for IoT protocols.

Adaptive Compression Techniques and Efficient Query Evaluation for XML Databases

International journal of engineering research and technology, Jun 30, 2012

XML has become the standard way for representing and transforming data over the World Wide Web. T... more XML has become the standard way for representing and transforming data over the World Wide Web. The problem with XML documents is that they have a very high ratio of redundancy, which makes these documents demanding large storage capacity and high network band-width for transmission. Because of their extensive use, XML document could be retrieved according to queries by users. The aim of this paper is to present the design of a system named "Adaptive Compression Techniques and Efficient Query Evaluation for XML Databases" which has the ability of compressing the XML document and retrieving the required information from the compressed version with less decompression required according to queries. The system first compressed the XML document by proposed algorithm. The compressed file is divided into different relational databases doing so there is no need to decompress the complete file for retrieving the results of any query. Only the required information is decompressed and submitted to the user. The average compression ratio of the designed compressor is considered competitive compared to other queriable XML compressors. Based on several experiments, the query processor part had the ability to answer different kinds of queries ranging from simple exact match queries to complex ones that require retrieving information from several compressed XML documents.

Consideration Of Network Infrastructure For The Implementation Of Big Data Using Real Time Analysis

International journal of engineering research and technology, Mar 30, 2013

Due to the explosive growth of data volume by mobile devices and SNS(Social Networking Service), ... more Due to the explosive growth of data volume by mobile devices and SNS(Social Networking Service), Big Data has recently become one of the important issues in the networking world. Big traffic is generated as Big Data processing steps and multiple regionally distributed data centers are included, and data are delivered among clusters for the purpose of storage hierarchy management. Big Data produces big traffic and thus results in the significant burden to the network infrastructure. Therefore, the enterprise network should be optimized to support a strong foundation in terms of volume, speed, and accessibility of data for both traditional transaction-oriented RDBMS and diverse applications such as Big Data.

Novel Deep Neural Network for Suspicious Activity Detection and Classification

Real time composite user activity modelling using hybrid approach for recognition

Activity modelling is required to support activity recognition and further to provide activity as... more Activity modelling is required to support activity recognition and further to provide activity assistance. In knowledge driven activity modelling, though the time and location is known, no inference can be made thus limiting to simple activities. In data driven approach, activity models are learnt from existing data sets using machine learning based techniques. Thus, conventional approaches for activity modelling do not work well with composite activities due to complexity and uncertainty in real scenarios. Hence, real time modelling of static and dynamic characteristics of activities is required to be done effectively. Activity recognition encompasses three important tasks, namely, activity sensing, activity modelling and activity inference. Due to vast needs from variety of application systems, video based human activity recognition is used in order to track the user activities. In order to bridge the gap between low level data and human understanding, sensor based composite activity recognition is required. In order to analyse composite user activities, hybrid approach is required to build computational models. Also, to determine the ongoing activity, the sensor data is to be processed effectively. This approach in the paper describes the sensor based real time activity modelling to monitor composite user activities for recognition.

Breast Cancer Data Classification Using Xception-Based Neural Network

SN Computer Science

Diet Recommendation Model Using Multi Constraint Metaheuristic and Knapsack Optimization Algorithm

International Journal of Next-Generation Computing

Various nutrients are necessary for humans to remain healthy and active. Maintaining a high quali... more Various nutrients are necessary for humans to remain healthy and active. Maintaining a high quality of life now depends on keeping track of everyday eating habits to prevent consuming too many calories and incorrect nutrients. Computerized applications can help Indian elderly people maintain and improve their overall health by providing pertinent information such as calories and nutritional details and following a strict diet plan suited to their ailments. In order to create optimized diet plans that take disease prevalence, food availability, and user preferences into account, the paper offers the Multi Constraint Metaheuristic integrated with the Knapsack approach. The solution's quality is attained by applying a dynamic, personalized set of food items. The average error percentage obtained by the suggested algorithm is 4.15.

Analysis of Lightweight Approaches for IoT Protocols

Zenodo (CERN European Organization for Nuclear Research), Dec 20, 2022

Current IoT systems are characterized by using resource-constrained electronic devices therefore ... more Current IoT systems are characterized by using resource-constrained electronic devices therefore new lightweight protocols should be designed to reduce communications costs, computational costs, and storage costs. For such requirements many researchers have already proposed various novel methodologies here we have analysed all of these. This research paper includes a survey of lightweight approaches for IoT protocols.

Variations in V Model for Software Development

International Journal of Advanced Research in Computer Science, 2010

V Model Represents one-to-one relationship between the documents on the left hand side and the te... more V Model Represents one-to-one relationship between the documents on the left hand side and the test activities on the right. This is not always correct. System testing not only depends on Function requirements but also depends on technical design, architecture also. Couple of testing activities is not explained in V model. This is a major exception and the V-Model does not support the broader view of testing as a continuously major activity throughout the Software development lifecycle. Paul Herzlich introduced the W-Model approach in 1993. The W-Model attempts to address shortcomings in the V-Model. Rather than focus on specific dynamic test stages, as the V-Model does, the W-Model focuses on the development products themselves. In its most generic form, the W-Model presents a standard development lifecycle with every development stage mirrored by a test activity. On the left hand side, typically, the deliverables of a development activity (for example, write requirements) is accompanied by a test activity test the requirements and so on. If your organization has a different set of development stages, then the W-Model is easily adjusted to your situation. The important thing is this: the W-Model of testing focuses specifically on the product risks of concern at the point where testing can be most effective. The main contribution in this paper is Sawtooth model and Sharktooth model. Sawtooth model is another variation of the V model. The Sawtooth model is actually an extension of the V-model. The only difference between the Sawtooth and the V-model is that prototypes are created and shown to the client for validation. Sharktooth model is more detailed view of the sawtooth model. In contrast to the sawtooth model the sharktooth model puts the manager into account. By presenting the manager a certain abstraction it also introduces new activities.

Prediction of nMAG in PMIPv6 with the Help of MN Positions

Analysis of Bluetooth Versions (4.0, 4.2, 5, 5.1, and 5.2) for IoT Applications

Advances in Wireless Technologies and Telecommunication, 2022

IoT includes many sensors that have to collect the data and send it to the superior nodes; for su... more IoT includes many sensors that have to collect the data and send it to the superior nodes; for such interaction between the IoT devices, various wireless technologies are available, like infrared, Li-Fi, WI-Fi, Zigbee, Bluetooth, etc. Among all the available, Bluetooth proved the most promising short-range wireless communication technology due to various factors. To fulfil the increasing demand for wireless connectivity, the Bluetooth SIG must continuously perform up-gradation. Here, analysis of Bluetooth versions are discussed based on the characteristics such as speed, bandwidth, range, power, message capacity, beacon provision, compatibility, reliability, errors detection, correction capability, advertisement packets, duty cycle, slot availability masks, and many more. This analysis concluded that all the versions have their own set of merits and limitations. For the basic IoT applications (limited functionalities), Bluetooth 4.0/4.2 is a good choice, while for the complex IoT ap...

Image Processing Application for Vehicle Seat Vacancy Identification

International Journal of Trend in Scientific Research and Development, 2018

The importance of embedded applications on image and video processing domain has been taking a la... more The importance of embedded applications on image and video processing domain has been taking a larger space. The image processing is the study of several algorithms that takes an image as input and returns an image as output. Specially we would like to elaborate our experience on the significance of computer vision as one of the domains where hardware implemented algorithms executes far better than those implemented from end to end software. Face detection is becoming one of the maximum interesting topics in the computer vision literature. The survey is directed to examine the face detection techniques. Image processing techniques is very widely held at present day for face detection and gender detection. In this study, face detection technique is used for detecting and counting the number of passengers in electric vehicle over webcam. The webcam is installed in electric vehicle and attached with Raspberry Pi 2 model B. When electric vehicle run off from the station, webcam will capture passenger's images in the seating area. The images will be adjusted and enhanced to decrease the noise which is concluded by software application. The images are sent in the direction of the server by 3G commun and there, the server progression the images by means of face detection technology and counting the number of passengers in electric vehicle. The system gets the supreme amount of passengers in electric vehicle that procedure over the images then evaluates the seat vacancy of the electric vehicle.

An Enhanced Web Graph Search Engine Based on User Profiles and Clickthrough Patterns

As the exponential explosion of various contents generated on the Web Recommendation techniques h... more As the exponential explosion of various contents generated on the Web Recommendation techniques have become increasingly indispensable. Innumerable different kinds of recommendations are made on the Web every day, including movies, music, images, books recommendations, query suggestions, tags recommendations, etc. In this paper, aim is to providing a general framework on user profiles & clickthrough patterns. Firstly proposing a method which propagates similarities between different nodes i.e. from user profiles and generates recommendations from clickthrough data. The proposed framework can be utilized in many recommendation tasks on the World Wide Web, including query suggestions, tag recommendations, expert finding, image recommendations etc. The experimental analysis on large data sets will show the promising future of our work.

Smart Platform for PUC Vendors about PUC Expiration & Reminders

International Journal for Research in Applied Science and Engineering Technology, May 31, 2023

Air pollution caused by vehicular emissions is a significant environmental and public health conc... more Air pollution caused by vehicular emissions is a significant environmental and public health concern, and regulatory measures, such as Pollution Under Control (PUC) certificates, are implemented to monitor and control vehicle emissions. However, the majority of the people fail to renew their PUC certificates because they don't get any reminders, unlike reminders sent by insurance companies, The PUC vendor have to manually send the PUC expiration reminder message to the client. The PUC vendors often have to keep track of their clients using notebook and pen and manually check the expiration dates of certificates daily, which can be a time-consuming and error-prone process. These inefficiencies can lead to a poor customer experience, increased workload for PUC vendors, resulting in lack of compliance with PUC regulations and potential fines. The proposed platform provides a smart and innovative online platform designed specifically for PUC vendors to streamline their operations and improve compliance with PUC regulations. The platform is built using the MERN (MongoDB, Express.js, React, Node.js) stack, providing a modern and scalable solution for PUC vendors to manage their clients and send PUC expiration reminders via SMS and WhatsApp. The platform includes various features such as a centralized database for storing client information, automatic PUC expiration reminders through SMS and WhatsApp, and a user-friendly interface for PUC vendors. This platform aims to enhance the efficiency and effectiveness of PUC vendors by reducing manual paperwork, minimizing errors, and improving customer service. It is expected to contribute to better compliance with PUC regulations, leading to reduced vehicular emissions and improved air quality.

Review on Data Mining Techniques in Bioinformatics for Extracting Enzymes Names from Literature

IJARCCE, 2017

This paper highlights some of the basic concepts of bioinformatics and data mining. The major res... more This paper highlights some of the basic concepts of bioinformatics and data mining. The major research areas of bioinformatics are highlighted. The application of data mining in the domain of bioinformatics is explained. It also highlights some of the current challenges and opportunities of data mining in bioinformatics.

Intelligent malware detection system

International Journal of Physical and Social Sciences, 2013

Malicious programs spy on users’ behavior and compromise their privacy. Unfortunately, existing t... more Malicious programs spy on users’ behavior and compromise their privacy. Unfortunately, existing techniques for detecting malware and analyzing unknown code samples are insufficient and have significant shortcomings. We observe that malicious information access and processing behavior is the fundamental trait of numerous malware categories breaching users’ privacy (including key loggers, password thieves, network sniffers, stealth backdoors, spyware and root kits), which separates these malicious applications from benign software. Commercial anti-virus software is unable to provide protection against newly launched (“zero-day”) malware. In this dissertation work, we propose a novel malware detection technique which is based on the analysis of byte-level file content. The proposed dissertation work will demonstrate the implementation of system for detection of various types of malware.

Image Inpainting Using Multiscale Salient Structure Propagation

International Journal of Managment, IT and Engineering, 2012

In this study, a new image inpainting approach using multiscale salient structure propagation is ... more In this study, a new image inpainting approach using multiscale salient structure propagation is proposed. The proposed approach consists of four stages, namely, (1) detection of salient structure(s), (2) inpainting of salient structure(s), (3) inpainting of surrounding areas of salient structure(s) by modified ant colony optimization (ACO), and (4) inpainting of remaining missing regions. Based on the experimental results obtained in this study, as compared with four comparison approaches, the proposed approach provides the better image inpainting results. Image inpainting can be roughly defined as: for an image containing missing regions, we want to fill the missing regions so that a visually plausible outcome is obtained. Image inpainting has developed very quickly and becomes one of the important contents of Digital Image Processing. Image inpainting can be employed in various applications, such as repairing aged images and multimedia editing. It is highly valuable in the protection of culture relic, movie and video special effect making.

Diet Recommendation Model Using Multi Constraint Metaheuristic and Knapsack Optimization Algorithm

International journal of next-generation computing, Feb 15, 2023

Various nutrients are necessary for humans to remain healthy and active. Maintaining a high quali... more Various nutrients are necessary for humans to remain healthy and active. Maintaining a high quality of life now depends on keeping track of everyday eating habits to prevent consuming too many calories and incorrect nutrients. Computerized applications can help Indian elderly people maintain and improve their overall health by providing pertinent information such as calories and nutritional details and following a strict diet plan suited to their ailments. In order to create optimized diet plans that take disease prevalence, food availability, and user preferences into account, the paper offers the Multi Constraint Metaheuristic integrated with the Knapsack approach. The solution's quality is attained by applying a dynamic, personalized set of food items. The average error percentage obtained by the suggested algorithm is 4.15.

Analysis of Demand, Architecture and Challenges of the Internet of Things

Zenodo (CERN European Organization for Nuclear Research), Oct 31, 2022

The Internet of things involves sensor-configured devices, processing units, and various technolo... more The Internet of things involves sensor-configured devices, processing units, and various technologies to connect and exchange data between devices. IoT involves many tools and technologies that can provide the facility to interact with each other. The IoT with such advanced devices, tools and technologies help the advancement of current society. This paper includes the basic concepts of IoT, market demand analysis, four foundational pillars of IoT, and the architecture of IoT.

Analysis of Bluetooth Versions (4.0, 4.2, 5, 5.1, and 5.2) for IoT Applications

IGI Global eBooks, 2022

IoT includes many sensors that have to collect the data and send it to the superior nodes; for su... more IoT includes many sensors that have to collect the data and send it to the superior nodes; for such interaction between the IoT devices, various wireless technologies are available, like infrared, Li-Fi, WI-Fi, Zigbee, Bluetooth, etc. Among all the available, Bluetooth proved the most promising short-range wireless communication technology due to various factors. To fulfil the increasing demand for wireless connectivity, the Bluetooth SIG must continuously perform up-gradation. Here, analysis of Bluetooth versions are discussed based on the characteristics such as speed, bandwidth, range, power, message capacity, beacon provision, compatibility, reliability, errors detection, correction capability, advertisement packets, duty cycle, slot availability masks, and many more. This analysis concluded that all the versions have their own set of merits and limitations. For the basic IoT applications (limited functionalities), Bluetooth 4.0/4.2 is a good choice, while for the complex IoT applications (advance functionalities), Bluetooth 5/ 5.1/ 5.2 is better.

Analysis of Lightweight Approaches for IoT Protocols

Zenodo (CERN European Organization for Nuclear Research), Dec 20, 2022

Current IoT systems are characterized by using resource-constrained electronic devices therefore ... more Current IoT systems are characterized by using resource-constrained electronic devices therefore new lightweight protocols should be designed to reduce communications costs, computational costs, and storage costs. For such requirements many researchers have already proposed various novel methodologies here we have analysed all of these. This research paper includes a survey of lightweight approaches for IoT protocols.

Adaptive Compression Techniques and Efficient Query Evaluation for XML Databases

International journal of engineering research and technology, Jun 30, 2012

XML has become the standard way for representing and transforming data over the World Wide Web. T... more XML has become the standard way for representing and transforming data over the World Wide Web. The problem with XML documents is that they have a very high ratio of redundancy, which makes these documents demanding large storage capacity and high network band-width for transmission. Because of their extensive use, XML document could be retrieved according to queries by users. The aim of this paper is to present the design of a system named "Adaptive Compression Techniques and Efficient Query Evaluation for XML Databases" which has the ability of compressing the XML document and retrieving the required information from the compressed version with less decompression required according to queries. The system first compressed the XML document by proposed algorithm. The compressed file is divided into different relational databases doing so there is no need to decompress the complete file for retrieving the results of any query. Only the required information is decompressed and submitted to the user. The average compression ratio of the designed compressor is considered competitive compared to other queriable XML compressors. Based on several experiments, the query processor part had the ability to answer different kinds of queries ranging from simple exact match queries to complex ones that require retrieving information from several compressed XML documents.

Consideration Of Network Infrastructure For The Implementation Of Big Data Using Real Time Analysis

International journal of engineering research and technology, Mar 30, 2013

Due to the explosive growth of data volume by mobile devices and SNS(Social Networking Service), ... more Due to the explosive growth of data volume by mobile devices and SNS(Social Networking Service), Big Data has recently become one of the important issues in the networking world. Big traffic is generated as Big Data processing steps and multiple regionally distributed data centers are included, and data are delivered among clusters for the purpose of storage hierarchy management. Big Data produces big traffic and thus results in the significant burden to the network infrastructure. Therefore, the enterprise network should be optimized to support a strong foundation in terms of volume, speed, and accessibility of data for both traditional transaction-oriented RDBMS and diverse applications such as Big Data.

Novel Deep Neural Network for Suspicious Activity Detection and Classification

Real time composite user activity modelling using hybrid approach for recognition

Activity modelling is required to support activity recognition and further to provide activity as... more Activity modelling is required to support activity recognition and further to provide activity assistance. In knowledge driven activity modelling, though the time and location is known, no inference can be made thus limiting to simple activities. In data driven approach, activity models are learnt from existing data sets using machine learning based techniques. Thus, conventional approaches for activity modelling do not work well with composite activities due to complexity and uncertainty in real scenarios. Hence, real time modelling of static and dynamic characteristics of activities is required to be done effectively. Activity recognition encompasses three important tasks, namely, activity sensing, activity modelling and activity inference. Due to vast needs from variety of application systems, video based human activity recognition is used in order to track the user activities. In order to bridge the gap between low level data and human understanding, sensor based composite activity recognition is required. In order to analyse composite user activities, hybrid approach is required to build computational models. Also, to determine the ongoing activity, the sensor data is to be processed effectively. This approach in the paper describes the sensor based real time activity modelling to monitor composite user activities for recognition.

Breast Cancer Data Classification Using Xception-Based Neural Network

SN Computer Science

Diet Recommendation Model Using Multi Constraint Metaheuristic and Knapsack Optimization Algorithm

International Journal of Next-Generation Computing

Various nutrients are necessary for humans to remain healthy and active. Maintaining a high quali... more Various nutrients are necessary for humans to remain healthy and active. Maintaining a high quality of life now depends on keeping track of everyday eating habits to prevent consuming too many calories and incorrect nutrients. Computerized applications can help Indian elderly people maintain and improve their overall health by providing pertinent information such as calories and nutritional details and following a strict diet plan suited to their ailments. In order to create optimized diet plans that take disease prevalence, food availability, and user preferences into account, the paper offers the Multi Constraint Metaheuristic integrated with the Knapsack approach. The solution's quality is attained by applying a dynamic, personalized set of food items. The average error percentage obtained by the suggested algorithm is 4.15.

Analysis of Lightweight Approaches for IoT Protocols

Zenodo (CERN European Organization for Nuclear Research), Dec 20, 2022

Current IoT systems are characterized by using resource-constrained electronic devices therefore ... more Current IoT systems are characterized by using resource-constrained electronic devices therefore new lightweight protocols should be designed to reduce communications costs, computational costs, and storage costs. For such requirements many researchers have already proposed various novel methodologies here we have analysed all of these. This research paper includes a survey of lightweight approaches for IoT protocols.

Variations in V Model for Software Development

International Journal of Advanced Research in Computer Science, 2010

V Model Represents one-to-one relationship between the documents on the left hand side and the te... more V Model Represents one-to-one relationship between the documents on the left hand side and the test activities on the right. This is not always correct. System testing not only depends on Function requirements but also depends on technical design, architecture also. Couple of testing activities is not explained in V model. This is a major exception and the V-Model does not support the broader view of testing as a continuously major activity throughout the Software development lifecycle. Paul Herzlich introduced the W-Model approach in 1993. The W-Model attempts to address shortcomings in the V-Model. Rather than focus on specific dynamic test stages, as the V-Model does, the W-Model focuses on the development products themselves. In its most generic form, the W-Model presents a standard development lifecycle with every development stage mirrored by a test activity. On the left hand side, typically, the deliverables of a development activity (for example, write requirements) is accompanied by a test activity test the requirements and so on. If your organization has a different set of development stages, then the W-Model is easily adjusted to your situation. The important thing is this: the W-Model of testing focuses specifically on the product risks of concern at the point where testing can be most effective. The main contribution in this paper is Sawtooth model and Sharktooth model. Sawtooth model is another variation of the V model. The Sawtooth model is actually an extension of the V-model. The only difference between the Sawtooth and the V-model is that prototypes are created and shown to the client for validation. Sharktooth model is more detailed view of the sawtooth model. In contrast to the sawtooth model the sharktooth model puts the manager into account. By presenting the manager a certain abstraction it also introduces new activities.

Prediction of nMAG in PMIPv6 with the Help of MN Positions

Analysis of Bluetooth Versions (4.0, 4.2, 5, 5.1, and 5.2) for IoT Applications

Advances in Wireless Technologies and Telecommunication, 2022

IoT includes many sensors that have to collect the data and send it to the superior nodes; for su... more IoT includes many sensors that have to collect the data and send it to the superior nodes; for such interaction between the IoT devices, various wireless technologies are available, like infrared, Li-Fi, WI-Fi, Zigbee, Bluetooth, etc. Among all the available, Bluetooth proved the most promising short-range wireless communication technology due to various factors. To fulfil the increasing demand for wireless connectivity, the Bluetooth SIG must continuously perform up-gradation. Here, analysis of Bluetooth versions are discussed based on the characteristics such as speed, bandwidth, range, power, message capacity, beacon provision, compatibility, reliability, errors detection, correction capability, advertisement packets, duty cycle, slot availability masks, and many more. This analysis concluded that all the versions have their own set of merits and limitations. For the basic IoT applications (limited functionalities), Bluetooth 4.0/4.2 is a good choice, while for the complex IoT ap...

Image Processing Application for Vehicle Seat Vacancy Identification

International Journal of Trend in Scientific Research and Development, 2018

The importance of embedded applications on image and video processing domain has been taking a la... more The importance of embedded applications on image and video processing domain has been taking a larger space. The image processing is the study of several algorithms that takes an image as input and returns an image as output. Specially we would like to elaborate our experience on the significance of computer vision as one of the domains where hardware implemented algorithms executes far better than those implemented from end to end software. Face detection is becoming one of the maximum interesting topics in the computer vision literature. The survey is directed to examine the face detection techniques. Image processing techniques is very widely held at present day for face detection and gender detection. In this study, face detection technique is used for detecting and counting the number of passengers in electric vehicle over webcam. The webcam is installed in electric vehicle and attached with Raspberry Pi 2 model B. When electric vehicle run off from the station, webcam will capture passenger's images in the seating area. The images will be adjusted and enhanced to decrease the noise which is concluded by software application. The images are sent in the direction of the server by 3G commun and there, the server progression the images by means of face detection technology and counting the number of passengers in electric vehicle. The system gets the supreme amount of passengers in electric vehicle that procedure over the images then evaluates the seat vacancy of the electric vehicle.

An Enhanced Web Graph Search Engine Based on User Profiles and Clickthrough Patterns

As the exponential explosion of various contents generated on the Web Recommendation techniques h... more As the exponential explosion of various contents generated on the Web Recommendation techniques have become increasingly indispensable. Innumerable different kinds of recommendations are made on the Web every day, including movies, music, images, books recommendations, query suggestions, tags recommendations, etc. In this paper, aim is to providing a general framework on user profiles & clickthrough patterns. Firstly proposing a method which propagates similarities between different nodes i.e. from user profiles and generates recommendations from clickthrough data. The proposed framework can be utilized in many recommendation tasks on the World Wide Web, including query suggestions, tag recommendations, expert finding, image recommendations etc. The experimental analysis on large data sets will show the promising future of our work.