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.

Analysis of lean practices in manufacturing industries: an ISM approach

Abstract: The role of lean manufacturing (LM) has increased with an increase competition in global market. A customer wants to buy a product at the lowest possible price without compromising quality. To overcome this problem, the role of lean manufacturing has been introduced. Lean manufacturing is capable for waste reduction without compromising both quality and productivity. To fulfil this purpose, 13 practices of LM have been identified through literature review and expert opinions from academics and industry experts. To identify the cross impact of LM practices, an interpretive structural modelling (ISM) approach have been utilised to find interrelation between these LM practices using MICMAC analysis. Results of this analysis are highly beneficial towards the implementation in industries getting lean.

Correction to: Synthesis of Er doped ZnO cone-like nanostructures with enhanced structural, optical and magnetic properties

Abstract: The original version of this article was published with the following error. This has been corrected with this erratum.

Hybrid data fusion using software agents for an event driven application of wireless sensor networks

Abstract: Data Fusion using software agents in WSNs is a naive area of interest for researchers belonging to the community of sensors as well as software agents. Data Fusion is one of the most desired processes while dealing with information processing in wireless sensor networks as the requirement of increased lifetime of network, reduced and balanced energy consumption still pre-dominates all other factors affecting the performance of sensors deployed in nondeterministic areas. In fact, data fusion serves as a solution to very common problem known as sensor hole problem. Although there exist various data fusion strategies to address the issue, but all of these suffer from one or the other drawback. Hence, this paper initially begins with a comparative overview of various data fusion strategies exploring the exploitation of software agents and later proposes a hybrid approach integrating the pros of both parallel and serial fusion approaches for achieving the same.

Agile learning model: Self centric learning

Abstract: Digital learning is the learning that is replacing traditional style of learning. Digital learning overcomes all the issues of traditional teaching methodologies. In this paper, digital self learning model is proposed that is based on ego attribute of agile participants. The proposed agile learning model makes learning better for learners at every stage of their life. This model is based on expertise of leaders of specific domain. Without their knowledge this model is useless. Agile learning model may also be followed in organizations to handle competitive challenges.

Retrieval of Volatile Information from World Wide Web Using Migrants

Abstract: Due to the dynamic nature of the web, it becomes very difficult for a search engine to provide fresh information to the user. An incremental crawler downloads modified contents only from the web for a search engine, thereby helps reducing the network load. This network load further can be reduced by using migrants. The migrants migrate to the web server for the purpose of downloading, filtering and compressing the documents before transferring them to the search engine side. In this paper a more network efficient approach for extracting the volatile information from the web server using migrants has been developed with the help of table of volatile information, which further helps in reducing the network load significantly.