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 crawler & Web page. The organization has 299 authors who have published 568 publications receiving 4547 citations.

Wireless Sensor Network Security Research and Challenges: A Backdrop

Abstract: If sensor networks are to attain their potential, security is one of the most important aspects to be taken care of. The need for security in military applications is obvious, but even more benign uses, such as home health monitoring, habitat monitoring and sub-surface exploration require confidentiality. WSNs are perfect for detecting environmental, biological, or chemical threats over large scale areas, but maliciously induced false alarms could completely negate value of the system. The widespread deployment of sensor networks is directly related to their security strength. These stated facts form the basis for this survey paper. This paper present a brief overview of challenges in designing a security mechanism for WSN, classify different types of attacks and lists available protocols, while laying outline for proposed work.

Profile-Based Ad Hoc Social Networking Using Wi-Fi Direct on the Top of Android

Abstract: Ad hoc social networks have become popular to support novel applications related to location-based mobile services that are of great importance to users and businesses. Unlike traditional social services using a centralized server to fetch location, ad hoc social network services support infrastructure-less real-time social networking. It allows users to collaborate and share views anytime anywhere. However, current ad hoc social network applications either are not available without rooting the mobile phones or do not filter the nearby users based on common interests without a centralized server. This paper presents an architecture and implementation of social networks on commercially available mobile devices that allow broadcasting name and a limited number of keywords representing users’ interests without any connection in a nearby region to facilitate matching of interests. The broadcasting region creates a digital aura and is limited by the Wi-Fi region that is around 200 meters. The application connects users to form a group based on their profile or interests using the peer-to-peer communication mode without using any centralized networking or profile-matching infrastructure. The peer-to-peer group can be used for private communication when the network is not available.

Mathematical modeling and fuzzy availability analysis of skim milk powder system of a dairy plant

Abstract: Conventional reliability analysis relies on the probability theory and the binary states i.e. success or failed state of a component or system only. This type of reliability analysis amplifies the uncertainty in computation of system reliability. To overcome this problem, the concept of fuzzy reliability has been used in the evaluation of reliability of the system and the binary states i.e. success and failure of a component or system is viewed in a fuzzy way. Mathematical formulation of the fault-tolerant skim milk powder system is carried out using mnemonic rule and the governing Chapman–Kolmogorov differential equations are solved with fourth order Runge–Kutta method. In this paper, the effect of failure rate, repair rate of each subsystem and coverage factor on fuzzy availability of skim milk powder system is analyzed.

An analytical case study of an advanced manufacturing system for evaluating the impact of human enablers in its performance

Abstract: Purpose – This paper aims to focus on identifying various human enablers that could influence the performance of a firm using advanced manufacturing systems (AMSs), and to develop a framework to manage them through an analytical case study.Design/methodology/approach – In this work, digraph and matrix technique through case study was utilized for finding the single numerical value, i.e. human enabler index (HEI), for quantifying the impact of human enablers of a firm under consideration using AMSs.Findings – The major finding of this analytical case study is that a firm can identify the weak human‐related issues existing in their organizations. The HEI value for the considered organization is found to be low because it does not understand its corporate social responsibility, therefore the necessary decisions/actions may be taken for the performance enhancement and optimal utilization of the human element. In this way, the effectiveness of an AMS can be enhanced without big investments.Research limitations...

Application of interpretive structural modelling approach for the analysis of barriers affecting lean manufacturing implementation in Indian manufacturing industry

Abstract: India is endeavouring ambitiously to become a global hub for manufacturing. Global customers want persistent deliveries with mix model, defect free products and at lowest cost. Therefore, Indian manufacturing companies are making efforts to adopt lean manufacturing practices to satisfy their customers. Companies acknowledge lean manufacturing as a well-recognised approach to improve their competitiveness by reducing waste from the system but, in Indian context, it is still limited due to many impediments. Hence, the barriers must be examined and removed to ensure smooth implementation of lean manufacturing to gain its full benefit. In this paper, interpretive structural modelling (ISM) approach is applied to examine the relationship among the various barriers affecting implementing of lean manufacturing in Indian industry. Structural model for barriers is developed based on their driving powers and dependence powers. The outcome of the model portrays a systematic approach for removal of barriers affecting lean implementation through analysis of driving power and dependence power. The purpose of this paper is to identify the ranks and inter-relationships of lean manufacturing barriers. This may help in formulating the strategy to reduce the adverse impact of these barriers in Lean Manufacturing implementation.