Gopal Sakarkar

Followers

Following

Public Views

Address: India

less

Interests

Uploads

Papers by Gopal Sakarkar

And Tech

Software agent is the one of the most recent contribution in the field of Information Technology.... more Software agent is the one of the most recent contribution in the field of Information Technology. The field of software agents is a broad and rapidly developing area of research, which encompasses a diverse range of topics and interests. In order to study the various methodologies for agent design, implementation, commercial use of it, a sample survey is required. This paper gives an overview of recent research on the software agents, agent communication languages (ACL), the different ontology use for software agent, also the summary of ACL and different tool kits for developing a software agent.

Download

A Survey of Software Agent and Ontology

International Journal of Computer Applications, 2010

Download

Novel Approach for Dns Tunneling Attack Detection Using Image Classification

Social Science Research Network, 2022

A Review of Computational Task Offloading Approaches in Mobile Computing

International journal of scientific research in science, engineering and technology, Mar 30, 2019

Mobile cloud computing permits the execution of calculation escalated uses of cell phones in comp... more Mobile cloud computing permits the execution of calculation escalated uses of cell phones in computational clouds, and this procedure of executing in cloud by sending the application VM/Components is called application/code/part offloading. Offloading is a successful strategy to spare the execution time and vitality utilization of cell phones. In this way it amplifies the battery life of cell phones. Applications are first apportioned into offloadable and on-offloadable segments, which are then exchanged to remote server for execution. We concentrate the booking of computational assignments on one nearby processor and one remote processor with correspondence delay. This issue has vital application in cloud computing. In spite of the fact that the correspondence time to transmit an errand can be induced from the known information size of the assignment and the transmission data transfer capacity, the preparing time of the undertaking is for the most part obscure until it is handled to completion. The target of this paper is to investigate the distinctive systems of offloading and application dividing techniques. These strategies are completely surveyed in this paper. This paper likewise highlights the examination of various systems on the premise of their commitment, benefits, negative marks and furthermore on the premise of change in execution time, vitality utilization, correspondence time.

Vegetable Plucking Machine Using Object Detection : A Case Study

International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 2021

Automated or robot-assisted collection is an evolving research domain that mixes aspects of machi... more Automated or robot-assisted collection is an evolving research domain that mixes aspects of machine vision and machine intelligence. When combined with robotics, image processing has proven to be an efficient method for analysis in various performance areas, namely agricultural applications. Most of it had been applied to the robot, which may want to pick fruit and type various fruits and vegetables. Identification and classification could even be a serious obstacle to computer vision demanding near-human levels of recognition. The target of this survey is to classify and briefly review the literature on harvesting robots that use different techniques and computer analysis of images of fruits and vegetables in agricultural activities, which incorporates 25 articles published within the last three decades. The proposed approach takes under consideration various sorts of fruit. Much research on this subject has been conducted in recent years, either implementing simple techniques such...

Download

Urban Mobility and Food Ordering Services A web mining perspective

Tristi cuori gioiosi: Cross-cultural consistency of embodied surprise

The Proceedings of the Annual Convention of the Japanese Psychological Association, 2015

Download

Comparative Analysis for Improving Accuracy of Image Classification Using Deep Learning Architectures

Advances in Intelligent Systems and Computing, 2021

Image classification is a classic problem in areas pertaining to Computer Vision, Image Processin... more Image classification is a classic problem in areas pertaining to Computer Vision, Image Processing, and Machine Learning. This paper aims to compare the various Deep Learning Architectures to improve the accuracy of Image Classification to select the best Deep Learning Architecture by implementing and testing various Deep Learning Architectures in combination with Dense Neural Networks. This comparative study helps to improve the accuracy of image separation in both training and testing databases. For targeted training and testing, 3000 training images and 1000 test images were used. The result of the Deep Learning-based classification of images using the platform as Google Colab showed how accurate classification was done by comparing various deep learning architectures.

Semantic Web and Intelligent Mobile Agent Based Architecture for Intelligent e-Learning System

e-Learning is an in-demand area of educational society. To provide the user friendly and personal... more e-Learning is an in-demand area of educational society. To provide the user friendly and personalize learning content is challenging task for such application. Semantic web is next step of web technology which provides interoperability and re-usability of content. Software Agent is an entity which is an advances version of object oriented programming’s paradigm. Agent has an ability to read and understand the content of web which is till date understood by human only. It helps to make a communication between machine to machine with an effective manner. The main focus of this paper to propose an innovative architecture of e-Learning system with the help of Semantic web technology and Mobile Agent based system and discuses the performance of proposed semantic web and mobile agent based approach.

Adventuresandyou.com: A Responsive Web-Based Application

Imperial journal of interdisciplinary research, 2017

: Internet is increasing the global system day by day. In recent years lots of efforts were devot... more : Internet is increasing the global system day by day. In recent years lots of efforts were devoted for social media, online shopping, online transactions etc. Those days are gone when people had to wait in a long Queue for getting tickets and completing payments. Now anything, can be done through internet, may it be transactions or booking . We proposed and implemented a system which helps the End User to book for events online. “adventuresandyou.com” is a web-based application, which help end user to book tickets online for events such as Plays, Concerts, Dance, Marathons, etc. By visiting the website, the user is a few clicks away to fill the event form. Online transaction facility makes the payment procedure easier as the user can pay online for the booked event and can keep track of transaction also . Any person can directly contact to the Administrator of the website directly by filling their Contact details. The website contains mainly two modules and the whole working of website is dependent on these modules. This paper takes review of Web-Based applications and their capabilities, and advantages. It also gives idea of various technologies.

IJATRD 2012019 ) THERMAL RECOGNITION IN BIOMETRICS AUTHENTICATION Mr

Thermal recognition performance thermal infrared imagery, emphasizing the influence of time-lapse... more Thermal recognition performance thermal infrared imagery, emphasizing the influence of time-lapse between enrolment and testing images. Most previous research in this area, with few exceptions, focused on results obtained when enrolment and testing images were acquired in the same session. Recognition use data obtained by imaging faces in the thermal spectrum are promising in achieving invariance to extreme illumination changes that are often present in practice. In this paper we analyze the performance of a recently proposed face recognition algorithm thermal modalities by decision level fusion. PCA(present comprehensive analysis), ICAO(International Civil Aviation Organization), LWIR(Long-Wave Infrared) sensor, feature points of the vein-patterns (FPVPs), multiple multiresolution filters (MRFs), positive Boolean function(PBF), multiple features application(MFA).

Attribute-Based Encryption with Equality Test in Cloud Computing Using Key-Policy

The privacy of users should be thought of because the utmost priority in distributed networks. To... more The privacy of users should be thought of because the utmost priority in distributed networks. To protect the identities of users, attribute-based encoding (ABE) was presented by Sahai et al. ABE has been wide utilized in several situations, significantly in cloud computing. During this paper, public key encoding with equality check is concatenated with key-policy ABE (KP-ABE) to present KP-ABE with equality test (KP-ABEwET). The projected theme not solely offers ne-grained authorization of cipher texts however additionally protects the identities of users. In contrast to ABE with keyword search, KP-ABEwET will take a look at whether or not the cipher texts encrypted by completely different public keys contain constant data. Moreover, the authorization process of the conferred theme is additional edible than that of Ma et al.'s scheme. Moreover, the projected scheme achieves one-way against chosen-cipher text attack supported the additive Dife Hellman (BDH) assumption. Additionally, a brand new procedure drawback referred to as the twin-decision BDH downside (tDBDH) is proposed during this paper. tDBDH is established to be as laborious because the decisional BDH downside. Finally, for the rest time, the protection model of authorization is provided, and also the security of authorization supported the tDBDH assumption is proved within the random oracle model.

Download

Comparative Study of Ambient Air Quality Prediction System Using Machine Learning to Predict Air Quality in Smart City

Proceedings of International Conference on IoT Inclusive Life (ICIIL 2019), NITTTR Chandigarh, India, 2020

It is a herculean task to predict air quality of a particular area due to indefinite characterist... more It is a herculean task to predict air quality of a particular area due to indefinite characteristics. As air pollution is a complex mixture of toxic air components that include ozone (O3), particulate matter 2.5_m (PM2:5), SO2, RSPM, SPM and nitrogen dioxide (NO2). These small particles penetrate deep into the alveoli as far as the bronchioles, interfering with a gas exchange within the lungs. Though research is being conducted in environmental science to evaluate the severe impact of particulate matters on public health. The capital city of Maharashtra, Nagpur is used as a case study since nearly ten thousand motor vehicles are being registered in Nagpur on a monthly basis contributing exponentially to air pollution. Various machine Learning-based algorithms are checked to compare and to find out the predictive analysis using available dataset. After comparing seven different machine learning algorithms, Boosted Random Forest algorithm was found out to be the most accurate predictive algorithm, with the maximum coefficient of determination and less mean absolute error.

Image Analysis and Classification of Flower Using Machine Learning Algorithm for Creating Organic Color

International Journal of Computer Sciences and Engineering, 2019

Evaluation of collaborative consumption of food delivery services through web mining techniques

Journal of Retailing and Consumer Services, 2019

Online food delivery services rely on urban transportation to alleviate customers' burden of trav... more Online food delivery services rely on urban transportation to alleviate customers' burden of traveling in highly dense cities. As new business models, these services exploit user-generated contents to promote collaborative consumption among its members. This study aims to evaluate the impact of traffic conditions (through the use of Google Maps API) on key performance indicators of online food delivery services (through the use of web scraping techniques to retrieve customer's ratings and the physical location of restaurants as provided by Facebook). From a collection of 19,934 possible routes between the physical location of 787 online providers and 4296 customers in Bogotá city, we found that traffic conditions exerted no practical effects on transactions volume and delivery time fulfillment, even though early deliveries showed a mild association with the number of comments provided by customers after receiving their orders at home.

Download

Placing joy, surprise and sadness in space: a cross-linguistic study

Psychological research, Jan 18, 2016

The valence-space metaphor posits that emotion concepts map onto vertical space such that positiv... more The valence-space metaphor posits that emotion concepts map onto vertical space such that positive concepts are in upper locations and negative in lower locations. Whilst previous studies have demonstrated this pattern for positive and negative emotions e.g. 'joy' and 'sadness', the spatial location of neutral emotions, e.g. 'surprise', has not been investigated, and little is known about the effect of linguistic background. In this study, we first characterised the emotions joy, surprise and sadness via ratings of their concreteness, imageability, context availability and valence before examining the allocation of these emotions in vertical space. Participants from six linguistic groups completed either a rating task used to characterise the emotions or a word allocation task to implicitly assess where these emotions are positioned in vertical space. Our findings suggest that, across languages, gender, handedness, and ages, positive emotions are located in u...

Download

An Online Social Networking Architecture using Context Data for Effective e-Learning Systems

The purpose of this work is to put forward an innovative e-Learning architecture for effectively ... more The purpose of this work is to put forward an innovative e-Learning architecture for effectively implementing the online learning study resource to learner in more effective and collaborative manner. Social Networking is a new boom in Internet world and it is successfully attracting the attentions of youngster all over the world. When teachers and learners aims to take advantage of the Internet, activities that foster an understanding of the role and impact of social networks become crucial. Both research and hands-on experiments are needed to explore the possibilities using the new platform and practices that social network provides for teaching and learning. The word 'social' means 'association', as the word derives from the Latin 'socius' meaning a companion or associate.

Cryptography Algorithm Using Neither EX-NOR Operation in Mobility

Secured data transmission via digital media had its initial step through cryptography. Cryptograp... more Secured data transmission via digital media had its initial step through cryptography. Cryptography is a form of secured data transmission where the contents of a message are kept secret. To provide a security the message should written in such a way that the third person or other than user does not understand the message. To provide such security ASCII codes are used. And then convert that ASCII code into its equivalent binary code .EX-NOR operation will be performed while encryption and decryption.

A New Classification Scheme for Autonomous Software Agent

Autonomous software Agent for localization

2009 International Conference on Intelligent Agent & Multi-Agent Systems, 2009

Today alone with the popularization of Agent technologies, software Agent technology is being app... more Today alone with the popularization of Agent technologies, software Agent technology is being applied into many systems, like ERP systems, CRM systems, network management, air-traffic control, telecommunication, and electronic commerce. The paper present a model of autonomous agent architecture and proposed the implementation approach for Autonomous Counseling Agent within educational organization, which is capable of automatic detection of proficient students