Siri PSG Arts and Science College for Women - Department Of Computer Science
R. Limya, M. Baskar
Classification is one the most helpful and significant techniques. Classification is a data mining function that assigns items in a group to target categories or classes. The goal of classification is to exactly predict the target class for every case in the data. Classification techniques are of use to handle large amount of data. Classification models are used to classifying newly accessible data into a class label. Classification is the process of find a model that describes and distinguishes data classes. Classification methods can hold both numerical and categorical attributes. Constructing fast and accurate classifiers for huge data sets is an important task in data mining and knowledge discovery. Classification predicts categorical class labels and classifies information based on the training set. In this paper we study of various data mining classification techniques and find the best technique. Classification techniques are Decision Tree, K-Nearest Neighbor, Support Vector Machines, Naive Bayesian Classifiers, and Neural Networks
M.Thulasimani, M.Valarmathi
In today’s communication is very important role which help in growth of new technologies. Whatever we want to send file from one location to another location in the network, many unauthorized users are illegally access the information .So security is an important parameter to be considered. The study of both encryption and decryption is known as cryptography. So these technology is used to secure the data. The process of transforming the original information into an unreadable format is known as encryption. The process of converting the unreadable format in to the original information is known as decryption. These techniques and algorithm are used to which is better algorithm for communication purpose.
R. Bhuvaneswari, S.Jayabharathi
The wireless technology are invented such as 1G, 2G, 3G and 4G but 5G technology provide the fastest connectivity. 5th generation network provide reasonable broadband wireless connectivity with very high speed. 5G technology is to make use of cell phones within very high bandwidth in wireless technology. The next and newest mobile wireless standard based on the IEEE 802.11ac standard of broadband technology for 5G. The 5G technology is all include advanced mobile phone features in 5G mobile technology the most important features in 5G.
A.LourduCaroline, Dr.S.Manikandan, K.Soundariya
In India vegetables and fruits are the most import agriculture products. In order to maintain the quality in produce is essentially required. In many survey and studies relieves that quality of agriculture product reduces in many causes. If proper care is not taken it affect the growth of the plant. Detection of disease using in computerized process it reduces the human work of monitoring the entire farm. The tomato fruit as well as leaf are affected by various diseases such as fungal, bacterial viral and other miscellaneous disease. The disease that affect the tomato leaves are leaf spot, powdery mildew, virticillium wilt and early blight. This paper is about the survey of various leafs using data mining approach and image preprocessing.
A.R.Johnson Durai, D. Alice Ilamathy Alexis, G.Nandhini
Artificial intelligence evolves with the development of computers even rely on computational development. The ways and processes of human thinking developed by Psychologists and welcomed by computational experts produce the science of Artificial Intelligence. This continues with the development of cognitive science that encourages the development of Artificial Intelligence to Cognitive Thinking Intelligence, a new pathway to the science of Artificial Intelligence that can emulate human cognitive abilities even if not 100%. Emulation of human cognitive abilities is developed based on the modeling of system interaction with the environment and information fusion, which can be used to conduct Inferencing, so when this occurs repeatedly it will produce knowledge that grows. This process is called Knowledge Growing System which is Brain Inspired Cognitive Artificial Intelligence and can be used for information extraction and when applied to instrumentation system will realize Intelligent Instrumentation System.
M.A. Maria Parimala, K.Vinotha
Web is a collection of interrelated files on one or more web servers.Web mining is the application of data mining techniques to extract knowledge from web data.Web data is web content-text, image, records, etc.Web structure are hyperlinks, tags, etc.web usage-http logs ,app server logs, etc.Text mining is the process of extracting information in the text document mining is used to help people to get information to the related data. In this paper to survey about Text classification and Text categorization.
Kalaivani.S, A.John Pradeep Ebenezer
Currently Smartphone plays a very important role in ones life. It is hard to find people without smartphone. Definitely each person will be in any one social networking tools in which they find convenient and ease to use.WhatsApps one such tools which helps person to share their views, images, videos and files from anywhere around the globe. Hike direct is another social networking tools which facilitate peer to peer communications. This paper compares this two social networking tool and analysis on their pros and cons.
C.Christy, Dr.S.Arivalagan, S.Priyanka
Data mining is the growing field of research that has been attracting many types of research to a piece of information from the dataset. In both data mining and image, analysis area is taken from an image. The main aim of the image classification is to classify the various classes of their visual characteristics. Human-computer interaction, the computer vision system is an essential role in our lives. The areas of computer vision application include gender detection, face recognition, body tracking, and ethnicity identification etc. A classification technique like decision trees, support vector machine, nearest neighbor and neural network etc.
R.Jayasri, Dr. R. Vidya, J.Antony Daniel Rex
Internet of Things (IoT) plays a key role in the new generation of industrial automation systems (IASs). Evolving IoT standards if effectively used may address many challenges in the development of IASs. where frameworks are associated with one another through the web and can speak with one another to take fundamental choices (additionally called as M2M correspondence). The authors are designed the device using Respberry Pi Microcontroller, instead of the Arduino microcontroller.
Dr.T.Miranda Lakshmi, V.Muralidharan
In recent years, Kinect has gained more popularity as a portable, low cost, high-resolution depth, visual sensing and markerless human motion capture device . As a result of these advantages and the advanced skeletal tracking capabilities, it has become an important tool for clinical assessment, physiotherapy and rehabilitation. This paper contains an overview of evolution of different versions of Kinect and also it highlights their key features.
G.Suresh, S.Muthukumarasamy
A cloudlet-based open platform to host in-network services. Different from standalone, specialized middle boxes, cloudlets can efficiently share a set of commodity servers among different services, and serve the network traffic in an elastic way. Packet Cloud can help both Internet Service Providers (ISPs) and emerging application/content providers deploy their services at strategic network locations. They have implemented a proofof-concept prototype of Packet Cloud. Packet Cloud introduces a small additional delay, and can scale well to handle high-throughput data traffic. Even though this existing system is good they have accepted that there is a delay so we introduce modified piggy pack algorithm to enhance speed, performance and security. This technique will overcome all the drawbacks of existing system. This piggyback is used with every message and reduces transmission congestion which improves networking performance.
D.Goplasamy, M.Arumaiselvam, S. MuthuKumaran
Web of things is a developing system of regular protest from mechanical machine to purchaser home apparatuses that can share data and finish assignments while you are occupied with different exercises. The IoT plans to bring together everything in our reality under a typical framework, giving us control of things around us, as well as keeping us educated of the condition of the things. Home robotization with the expansion of IoT is turning into a reality now, and an assortment of players like, Apple, Amazon, Google, Samsung, are for the most part joining into this space to give the stage and answers for savvy homes. In Light of this, present investigation tends to IoT ideas through orderly audit of academic research papers, corporate white papers, proficient exchanges with specialists and online databases. The fundamental goal of this paper is to give a diagram of Internet of Things, designs, and imperative advances and their utilizations in our day by day life.
Ramya Arun, K.Sumathi
Within few years Mobile Ad -hoc has fetched more attention due to plug and play self configuring infrastructure less network. Routing in Mobile Ad hoc Networks (MANETs) is an essential component for basic network function and also major issues in MANET is routing due to the mobility of the nodes. Ant Colony Optimization is an algorithm to solve problems like routing in MANETs based on food searching behavior of ants. Ant Colony Optimization, a swarm intelligence based optimization technique, is widely used in network routing. This paper presents an ant colony optimization (ACO) method in a mobile ad hoc network (MANET). The main goal in the design of the algorithm will be reduce the routing overhead, response time, end-to-end delay and increase the performance.
P.Balamurugan, Dr.S.Dhanalakshmi
Recent advances in wireless networks have enabled us to deploy and use mobile ad hoc networks for communication between the rescue officers in disaster recovery and reconstruction operations. This highly dynamic network does not require any infrastructure or centralized control. As the topology of the network remain dynamic, severe performance limitations incur with traditional routing strategies. Recently a new routing paradigm known as opportunistic routing protocols have been proposed to overcome these limitations and to provide efficient delivery of data in these highly dynamic ad hoc networks. Opportunistic routing has increased the efficiency, throughput and reliability of mobile adhoc networks. Many energy saving techniques has been introduced using opportunistic routing in wireless networks for increasing the network lifetime. In this paper elaborated the basic concept of Opportunistic routing, and explain the detailed operation of EXOR and dAdaptOR protocols.
A.Raja, Dr.S.Prema
User engagement on social media significantly influences online reputation, consumer preferences, and business profitability. Understanding and predicting engagement patterns can help businesses and platform developers tailor strategies that improve interaction and overall user experience. This study presents a comparative analysis of four classical machine learning algorithms—Support Vector Machine (SVM), K-Nearest Neighbor (KNN), Logistic Regression, and Decision Tree—for predicting user engagement using the Bitcoin Tweets dataset. The dataset was preprocessed through text cleaning, tokenization, stopword removal, and lemmatization, followed by feature extraction incorporating sentiment scores, engagement metrics, and temporal dynamics. Models were implemented in Python and evaluated using Accuracy, Precision, Recall, and F1-score. Results highlight the strengths and weaknesses of each algorithm, providing insights into their suitability for engagement classification tasks. The findings contribute to advancing customer segmentation strategies and enhancing the effectiveness of online media campaigns.