Simulation analysis of security performance of DPSKOCDMA network via virtual user scheme

A novel technique to enhance the security of an optical code division multipleaccess (OCDMA) system against eavesdropping is proposed. It has been observed that whena single user is active in the network, an eavesdropper can easily sift the data beingtransmitted without decoding. To increase the security, a virtual user scheme is proposed andsimulated on a differential phase shift keying (DPSK) OCDMA system. By using the virtualuser scheme, the security of the DPSK-OCDMA system can be effectively improved and themultiple access interference, which is generally considered to be a limitation of the OCDMAsystem, is used to increase the confidentiality of the system

Human-computer interaction based joint attention cues: implications on functional and physiological measures for children with autism spectrum disorder

One of the important facets of effective social communication is Joint Attention (JA). However, children with Autism Spectrum Disorder (ASD) are often characterized by JA-related deficits, adversely affecting their social communication. In conventional interventions, therapists use different types of JA cues depending on one's capability to pick up the delivered cue. Though effective, conventional approaches suffer from restricted healthcare resources, cost, etc. With an increase in computational power, investigators are exploring alternative robot-based and computer-based techniques for JA skill training while delivering different types of JA cues. However, robot-assisted techniques are powerful but suffer from limitations such as high cost, restricted flexibility, etc. Thus, researchers are exploring the use of computer-based techniques for JA skill training since it can be controllable, flexible, cost-effective, more accessible, etc. With the advent of rich graphics, researchers are augmenting computer-based interfaces with Virtual Reality (VR) while designing Human-Computer Interaction (HCI)-based JA tasks. Given the importance of VR-enabled HCI-based JA training platform, studying the comparative potential of different types of JA cues (having varying information content) implemented using a VR-enabled HCI-based task platform is important. In this research work, we presented a VR-enabled HCI-based JA task platform that can deliver avatar-mediated and environment-triggered JA cues of varying information content. Results of a preliminary study with twenty typically developing and twenty age-matched children with ASD indicate differentiated implications of JA cues of varying information content on one's functional and physiological measures.by Vishav Jyoti and Uttama Lahir

Virtual Reality based Joint Attention Task Platform for Children with Autism

Children with Autism Spectrum Disorder (ASD) are characterized by deficits in social communication. Social communication is facilitated by ability to pick up cues from social partner using Joint Attention (JA) skill, which gets established in early stages of development. However, children with ASD possess deficits in JA skill. These deficits manifest as delay in language acquisition and cognitive skills development at later stages. Therapist-mediated interventions addressing these JA related deficits are labor-intensive and unaffordable. Alternatively, robots and computers can be used. Robot-facilitated skill training suffers from high cost, specialized knowledge to operate, etc. In contrast, Computer-based JA skill training platforms are affordable, offers flexibility to designer, but having limited interactivity coupled with lack of individualization and mostly operate as standalone applications. Individualization is critical for effective skill training. To bridge this gap, we have developed Virtual Reality based Joint Attention Task platform. This system (adaptive to individual's performance) was augmented with Hierarchical Prompt Protocol that autonomously increased level of prompting on demand. Results of a preliminary study with 20 pairs of age-matched ASD and Typically Developing (TD) participants indicates potential of our VR-based system to identify the JA skill deficits of children with ASD vis-a-vis their Typically Developed counterpart.by Vishav Jyoti and Uttama Lahir

Design of intelligent artificial agents: its application in joint attention task for children with Autism

by Vishav Jyoti and Uttama Lahir

Joint attention skill training using virtual reality based platform for children with neurodevelopmental disorder

by Vishav Jyoti and Uttama Lahir

Virtual reality based avatar-mediated joint attention task for children with Autism: implication on performance and Physiology

by Vishav Jyoti, Sanika Gupta and Uttama Lahir

Abstracts of AICTE Sponsored International Conference on Post-COVID Symptoms and Complications in Health

This book presents the selected abstracts of the International Conference on Post-COVID Symptoms and Complications in Health, hosted from the 28th to 29th of April 2022 in virtual mode by the LR Institute of Pharmacy, Solan (H.P.)-173223 in Collaboration with AICTE, New Delhi. This conference focuses on the implications of long-term symptoms on public health, ways to mitigate these complications, improve understanding of the disease process in COVID-19 patients, use of computational methods and artificial intelligence in predicting complications, and the role of various drug delivery systems in combating the complications. Conference Title:  International Conference on Post-COVID Symptoms and Complications in HealthConference Sponsor: AICTE, New Delhi.Conference Date: 28-29 April 2022Conference Location: OnlineConference Organizer: LR Institute of Pharmacy, Solan (H.P.)-173223

Abstracts of AICTE Sponsored International Conference on Post-COVID Symptoms and Complications in Health

This book presents the selected abstracts of the International Conference on Post-COVID Symptoms and Complications in Health, hosted from the 28th to 29th of April 2022 in virtual mode by the LR Institute of Pharmacy, Solan (H.P.)-173223 in Collaboration with AICTE, New Delhi. This conference focuses on the implications of long-term symptoms on public health, ways to mitigate these complications, improve understanding of the disease process in COVID-19 patients, use of computational methods and artificial intelligence in predicting complications, and the role of various drug delivery systems in combating the complications. Conference Title:  International Conference on Post-COVID Symptoms and Complications in HealthConference Sponsor: AICTE, New Delhi.Conference Date: 28-29 April 2022Conference Location: OnlineConference Organizer: LR Institute of Pharmacy, Solan (H.P.)-173223