YMCA University of Science and Technology

About: YMCA University of Science and Technology is a education organization based out in Faridabad, India. It is known for research contribution in the topics: Web page & Web crawler. The organization has 299 authors who have published 568 publications receiving 4547 citations.

Digital Analysis of the Transformation of Institutions in the Knowledge and Innovation System of the Handmade Carpet Industry

Abstract: The Indian handmade carpet industry has various economic, social and national dimensions. The rich diversity of Indian carpets is a symbol of different cultures and traditions in this country like India and Iran. To ensure the sustainability of the knowledge digital and innovation system of the handmade carpet industry, in addition to considering the dominant approaches of the innovation systems, attention should be paid to the transformative approach that pursues holistic transformation in the production and consumption systems. The present study aims to identify formal transformation institutions, classify them into main categories and analyse them based on the production step, approval date, institution type and geographical area of approval. Based on the results, there are 316 formal institutions in the handmade carpet industry. By open coding, 372 concepts were extracted from 509 concepts derived from different formal transformation institutions. Based on the axial coding, the formal institutions were divided into six initial categories of ‘carpet authority’, ‘carpet sales and maintenance inside India’, ‘handmade carpet exports and imports’, ‘carpet production infrastructure’, ‘handmade carpet production’ and ‘sanitary-therapeutic category’. At the next step, the matrix of the main categories based on different production steps was drawn. Among the main categories, the highest frequency is related to the category of ‘carpet production infrastructure’ and the subcategory of ‘financial supply of carpet’. Although there are a lot of formal institutions that support production, carpet weavers as the main people involved in production have received minimum support during their working years due to unawareness of supports and loan conditions.

Design of candidate schedules for applying iterative ordinal optimisation for scheduling technique on cloud computing platform

Abstract: In cloud computing, distributed resources are used on demand basis without having the physical infrastructure at the client end. Cloud has a large number of users and to deal with large number of task, so scheduling in cloud plays a vital role for task execution. Scheduling of various multitask jobs on clouds is considered as an NP-hard problem (Horng and Lin, 2017). In order to reduce the large scheduling search space, an iterative ordinal optimisation (IOO) method has already proposed. In this paper, a set of 30 candidate schedules denoted by set U are created. The set U is used in the exhaustive search of the best schedule. After analysing the set U, an ordered schedule vs. makespan graph is plotted. So in this work, set U is defined and created a base for applying IOO method to get optimal schedules. In this work, CloudSim version 3.0 has been used to test and analyse policies.

Development of an App Enabled Smart Helmet for Real Time Detection and Reporting of Accidents

Abstract: In this paper we propose a solution to minimise the after effects of a motorcycle accident and also try to create a culture of helping someone in need anonymously. This is implemented using internet enabled Raspberry Pi Zero W with homemade pressure sensors embedded in the helmet. The working is fairly simple; the Raspberry Pi detects accident and its intensity via the MCP3008 Analog to Digital Converter IC and updates Google’s Firebase in real time. The app running on Android phone retrieves this data associated with the particular helmet ID and generates an alert sent to nearby hospitals and other authorities (if any). The app can also be used to help a third person who has met with an accident using its ‘Help Anonymously’ feature. The alert so generated contains the helmet’s owner’s name, location of accident and region-wise intensity of force measure for analytics. The alert is sent within 20 seconds, so if a person is conscious, the alert can be stopped using a PIN number.

Enhancement of Spectrum Efficacy using Cognitive Radio Networks

Abstract: Spectrum is the most valuable and scarce resource for every wireless application. Due to the scarcity of the spectrum other alternatives are also being searched. Cognitive Radio (CR) technology is one such alternative which has gained popularity in the recent times. It has been established from various researches that the allocated band is not in use for all the time by the licensed user or as Primary Users (PUs). The Cognitive Radio users also called as Secondary Users (SUs) communicate using unlicensed band or by using the idle licensed band of primary users opportunistically. This paper evaluates the performance of routing protocols by varying concentration level of PU and SU. We have also investigated the impact of time given by PU’s to SU’s for data transfer. For performing the above task, a simulator is designed in MATLAB-7.01. The results show that the performance of routing protocols improves significantly as the number of PUs and allowable time given by PU’s to SU’s increases.