ITM University, Gurgaon, Haryana

About: ITM University, Gurgaon, Haryana is a education organization based out in Gurgaon, India. It is known for research contribution in the topics: Encryption & Cryptosystem. The organization has 749 authors who have published 1159 publications receiving 12997 citations.

Metrological Characterization of the Vickers Hardness Primary Standard Machine Established at CSIR-NPL

Abstract: CSIR-National Physical Laboratory (CSIR-NPL) is the National Metrological Institute (NMI) of India, which has the mandate for the realization of SI units of measurements and dissemination of the same to the user organizations. CSIR-NPL has established a hardness standardizing machine for realizing the Vickers hardness scale as per ISO 6507-3 standard for providing national traceability in hardness measurement. Direct verification of the machine has been carried out by measuring the uncertainty in the generated force, the indenter geometry and the indentation measuring system. From these measurements, it is found that the machine exhibits a calibration and measurement capability (CMC) of ±1.5% for HV1–HV3 scales and ±1.0% for HV5–HV50 scales and ±0.8% for HV100 scale.

Role of Emotional and Spiritual Intelligence for Retention: A Study of Higher Education System in India

Abstract: Retention policies in higher education institutions in India are formulated on the basis of performance of faculty members of the institutions. Till date, academic credentials of faculty members are the basis of their recruitment and selection. But for retaining high performers in the institutions, intelligence beyond cognitive should be inculcated in performance measurement systems of the institutions. This study explores the impact of emotional and spiritual intelligence on performance of faculty members for retention using structural equation modeling. The study reveals that there is significant impact of emotional and spiritual intelligence on faculty performance. Therefore, these forms of intelligence must be included and implemented for performance assessment in higher education systems while framing retention policies.

Non-invasive measurement and subsequent analysis of human carotid pulse for ground based simulation of G-stress

Abstract: Gravitational G stress can debilitate pilots of modern fighter aircraft which may result in mishaps due to G-induced loss of consciousness G-LOC.The ability to bear G exposure is mainly a role of sufficient blood flow to the brain - the most susceptible and critical organ regarding aircrew performance. Carotid artery is the closest vessel to the heart and brain and is responsible for the blood flow between them. Past studies of high acceleration effects on physiological parameters has concluded that the heart rate variability HRV is the only parameter which can be effectively captured, stored, processed and analysed. Carotid pulse is an important signal to assess HRV. A simple and non-invasive system is developed in which piezoelectric sensor is placed on the carotid artery of the human subject. Raw carotid signal of many human subjects in real time is acquired in different body postures using BIOPAC system. RR interval, heart rate and pulse amplitude are determined using BIOPAC system software. The present work relates the effect of change in heart rate in different body postures to the change in heart rate due to G stress which further can be used for measurement and management of G stress of aircraft pilots.

Age Classification with LPCC Features Using SVM and ANN

Abstract: For humans, speech is one of the vital communication channel used for interchanging information, knowledge, and thoughts. Identifying the age of a person based on his/her speech is an essential part of speech therapy and many telecommunication applications. Many speech-related disorders can be diagnosed and cured using age identification at early ages. Depending on the age group, particular speech therapy can be given to a child. In this research, typical speech sentences were used to identify the age of 200 Indian children from the age group of 4–8 years. Linear predictive cepstral coefficients (LPCC) (formant frequencies) was applied to extract 128 acoustic features using sustained phonation, reading and imitation tasks. Artificial neural network (ANN) and support vector machine (SVM) were used to build two classification models. Comparisons were made on classification accuracy. Classification results were substantially higher between the age group of 4 and 8 years. This work will further be extended to gender classification with more robust features and algorithms.

Extending IoTs Into the Cloud-Based Platform for Examining Amazon Web Services

Abstract: The public cloud Amazon Web Service (AWS) provides a wide range of services like computation, networking, analytics, development and management tools, application services, mobile services, and management of Internet-of-Things (IoT) devices. The Amazon Web Services (AWS) IoT is an excellent IoT cloud platform and is exclusively responsible for connecting devices into various fields like healthcare, biology, municipal setup, smart homes, marketing, industrial, agriculture, education, automotive, etc. This chapter highlights many other initiatives promoted by AWS IoT. The main motive of this chapter is to present how AWS IoT works. The chapter starts with the design principles of AWS IoT services. Further, the authors present a detailed description of the AWS IoT components (e.g., Device SDK, Message Broker, Rule Engine, Security and Identity Service, Thing Registry, Thing Shadow, and Thing Shadow Service). The chapter concludes with a description of various challenges faced by AWS IoT and future research directions. Extending IoTs Into the CloudBased Platform for Examining Amazon Web Services