Deepshikha Bhargava

CDRA: Cluster-based dynamic routing approach as a development of the AODV in vehicular ad-hoc networks

Over the last few decades, the researchers have been fascinated towards vehicular networks. Vehicular ad-hoc network (VANET) is a highly dynamic wheeled network where the on road vehicles and road - side units considered as nodes to allow the wireless communication. Each node acts as the host in VANETs. Due to high dynamic nature of VANETs the mobility pattern and the network topologies change frequently, that make it differ from the other type of ad-hoc network The challenge of this research is a crucial designing for dynamic routing protocol in VANETs. This paper proposes a cluster-based approach for dynamic routing in VANETs. This new routing approach have an aim of increasing the overall network throughput, delivery ratio with less normalized routing load in comparison of AODV Extensive simulations are carried out in NS2 to appraise the efficiency of the proposed cluster-based routing approach.

Performance analysis of agent based IPSM

In computing, Inter-process communication (IPC) is a set of methods for the exchange of data among multiple threads in one or more processes. Operating system works as an inter process synchronization manager (IPSM). In the present paper agent based inter process synchronization manager is described and its performance is compared with other non agent based IPSM on different operating systems.

Enhanced Accident Detection System Using Safety Application for Emergency in Mobile Environment: SafeMe

Road accidents claim a huge toll on precious human life all over the world. However, significant amount of lives could be saved if the information regarding the accident could be communicated within critical time. Our paper proposes a formal model of vehicular accident detection through a mobile application which can be run on a smartphone. It aims at detecting a vehicle accident and subsequently notifies a pre-determined list of people so that medical assistance can be provided to the victim as soon as possible. Also details such as location of the victim, intensity of the collision, information about nearby hospitals, ambulance service and police station, are conveyed to a predefined list of recipients. To detect the occurrence of an accident with fair accuracy, the proposed algorithm takes into account the acoustic data, gyrometer sensor inputs, accelerometer data, and the GPS coordinates data—all from the inbuilt smartphone hardware. A weighted average of all these factors is compared against a dynamic threshold. Such a weighted average mechanism significantly reduces false positives.

Mind Reading by Face Recognition Using Security Enhancement Model

Face recognition has always been an area of interest for the researchers because it seems so fascinating in itself. As the time has passed, the evolution of human brain and social intelligence has enhanced the analysing power of a human brain for the displaying of face to infer the emotion accordingly. Face of a human being is considered to be the most common channel to read and infer the emotion in the case of mind reading. Theory of mind (ToM) is the inbuilt technique provided to every human being “as reported by Premack and Woodruff (Behav Brain Sci 1:515–523, 1991)”. According to ToM, a person has the ability to read someone else’ mind. Mind reading has a great amount of future advancement if worked upon with the different equipment and devices in the high-tech laboratories. The researchers have worked in this direction and have developed softwares. The aim of such software is to apply concept of security in face recognition but still there is a scope for improvement. This paper presents a comparative study between algorithms used for detecting the face as the key component in mind reading. Further, a model is proposed to enhance the security in face recognition. The proposed model also suggests interface that would help users to identify the people watching their pictures posted online.

Fuzzy keyword search and ranking frame work of DRS based file information management system using TF-RDF ranking strategy

Increasing of data now in these days are creating a big problem to manage in file information management system. For this we need a system which is scalable for data retrieval to get efficient results. To overcome this problem so many researchers were proposed the solution for data retrieval, but they were not so efficient with each others which may contain so many drawbacks. In this paper will introduce a frame work with fuzzy logic which retrieves the data multi- dimensionally ranked by TF*IDF. The above ranking is based on various dimensions like content, file structure and meta data etc., which may gives the accurate results. After generating the results individually the relevant scores can be merged which generates the meaningful unified score gives the top ranking. The keyword based on fuzzy with TF-IDF ranking strategy is reliable than the previous models.

RoHeMaSys: Medical Revolution with Design and Development of Humanoid for Supporting Healthcare

Healthcare robot technology is one of the emerging issues in the field of robotics, and not only researchers are working in the field of Humanoid but also many companies and institutes have develop Humanoids. The humanoid on healthcare has abilities to support physical and mental health which pertain to functions and interaction with a person. This paper presents an overview towards building an agent based humanoid that will work for the purpose of improving healthcare processes using a system called Robot Healthcare Management System. This paper highlights upon, a healthcare system with a humanoid by using speech, gesture, and emotions. This paper begins with the Introduction and the need of the system in Sect. 1. The Sect. 2 explores the literature relevant to research area. Further this paper discusses the motivation of research and its objectives in Sects. 3 and 4 respectively. The next section highlights upon the role, multi-agent architecture and the functionality of agent engine. At the last paper explores the research methodology and finally concludes.

Run-time performance analysis of non-agent based solution for Inter Process Synchronization problem

Inter Process Synchronization is aimed at providing interrupt free and deadlock free well-structured communication among processes. The approach used is generally non-agent oriented approach which may lead to deadlock situation. This paper analyzes the runtime performance of non-agent based solution to IPS Problem. In this paper the testing is carried out and the results are obtained under time intervals T1 to T10 for eleven different parameters. Further based upon the correlation among parameterized variables, only five dependent variables were selected during the test conducted. The analysis is based upon the testing conducted on Window 7, a GUI based operating system. The results motivate the need of agent oriented approach to resolve the IPS problem.

Knowledge mining: An approach using comparison of data cleansing tools

Abstract Data Cleaning is a process to improve the quality of the data by adding few factors like removing missing values from the database, removing delicacy, correcting inconsistent data, data acquit ion and noisy data etc. we have also discussed how to remove missing data and various problems which arise due to the date formats as different systems have different set of date formats in which date is stored.

A Review of Bio Inspired Computing and its Applications

Bio Inspired computation is the part of Artificial intelligence which was inspired by the biological behaviors of biological systems. Swarm intelligence is the collective behavior of an organized group in day-to-day life. Common examples of swarm intelligence include ant colony, bee colony, etc. and some are non-swarm intelligence like bat algorithm, etc. This study mainly focuses on application areas of various bio inspired computing based swarm and non-swarm intelligence. This review also discusses the newly developed algorithms. Specific application areas of such algorithms have been discussed in this research. This research highlighted the future scope of present algorithms

A scheme of features fusion for facial expression analysis: A facial action recognition

Abstract The study of emotions is very tough job which sounds in the form to recognize the facial expressions of human face. This problem is quite challenging because of various face architecture of the facial parts of human. In fact it is variant with locality. It becomes hot topic of research for hearing impaired people. Facial expression is considered as a part of sign language recognition (SLR).The pre-processing involves face detection using the algorithm proposed by Viola and Jones using Haar-cascades for facial part detection. In this work, we purpose a fusion of texture local binary pattern, landmark based active shape model (ASM) of geometric features. The features are trained and tested by multi-class support vector machine (SVM).