http://nopr.niscpr.res.in/handle/123456789/45106 Fri, 09 Oct 2026 23:48:21 GMT 2026-10-09T23:48:21Z http://nopr.niscpr.res.in/handle/123456789/45117 Title: MEMS Gyroscope Raw Data Noise Reduction Using Fading Memory Filter Authors: Nazemipour, A; Manzuri, M T Abstract: Nowadays, MEMS sensors are widely used in systems such as autonomous vehicles, but they still suffer from high stochastic errors such as Angle random walk (ARW) noise, which causes failure in real-signals and produces an error in the position and attitude of mobile systems. So far, many filters are developed to reduce the amount of noise in the output of the MEMS sensors. The computational overhead, the rate of noise reduction, and the phase-delay of the filter are the most important characteristics of choosing a suitable filter. In this paper, a low pass filter based on the alpha-beta filter with a very low computational overhead is proposed to reduce the amount of noise. In order to find the optimal filter gain, the improvement in the positioning is selected as a criterion, which is a tradeoff between the amount of noise reduction and the phase delay of the filtered signal. In this work, the KITTI database is used to evaluate the proposed filter. The results show that the proposed filter reduces the sensor’s noise and improves the positioning of the moving car, significantly. Page(s): 553-558 Mon, 01 Oct 2018 00:00:00 GMT http://nopr.niscpr.res.in/handle/123456789/45117 2018-10-01T00:00:00Z http://nopr.niscpr.res.in/handle/123456789/45116 Title: Electric Vehicle (EV) in Home Energy Management to Reduce Daily Electricity Costs of Residential Customer Authors: Datta, U; Kalam, A; Shi, J Abstract: Exploiting energy storage capacity of proliferating EVs in present power system may contribute to minimize adverse impact of EV charging and electricity operating costs of residential customers. This study investigates an electric vehicle (EV) charging/discharging strategy in home energy management system (HEMS) to evaluate economic benefit of different operation modes in dynamic pricing schemes. Three different operation modes i.e. grid-to-vehicle (G2V), vehicle-to-grid (V2G) and vehicle-to-home (V2H) and their relative financial advantage using single and dual EVs are investigated without affecting customer comfort of EV for driving. The proposed economic analysis is carried out for a single residential customer for one day. Numerical studies show that reducing electricity consumption from grid in peak pricing periods using V2H is more beneficial than V2G or G2V in term of economy as selling energy to the grid is technically inflexible and financially competitive. Page(s): 559-565 Mon, 01 Oct 2018 00:00:00 GMT http://nopr.niscpr.res.in/handle/123456789/45116 2018-10-01T00:00:00Z http://nopr.niscpr.res.in/handle/123456789/45115 Title: VAR Analysis of the Factors Influencing Overcapacity in the Iron and Steel Industry Authors: Mei, Feng; Chen, Peng Abstract: This paper selects fixed asset investment, the growth rate of real estate construction area, steel export rate, the concentration of the iron and steel industry, iron ore prices and local government investment growth indexes in a vector auto-regression (VAR) analysis of the factors influencing Chinese iron and steel overcapacity. The paper concludes that the six indicators are important factors influencing excess capacity and provides relevant future policy suggestions. Page(s): 566-569 Mon, 01 Oct 2018 00:00:00 GMT http://nopr.niscpr.res.in/handle/123456789/45115 2018-10-01T00:00:00Z http://nopr.niscpr.res.in/handle/123456789/45114 Title: Corporate Social Responsibility and Sustainability’s Effect on the Relationship Between Technological Companies’ Stakeholders and Performance Authors: Nieves-Nieto, Carmen de; Bernal-Conesa, Juan Andrés; Peñalver, Antonio Juan Briones; Santos, José António C Abstract: This study analyses the role played by stakeholders in technology companies. These companies can contribute to building sustainable economies through proactive strategies including innovations in products and services with socially positive impacts. However, the role of stakeholders in these firms has not been studied in detail. In addition, the effect of corporate social responsibility (CSR) on competitive success is greater in more competitive industries, such as the technology sector. This research thus focused on the mediating effect of CSR on the relationship between technology companies’ stakeholders and performance. A structural equations model was used to conduct the analysis. The results show that the influence of stakeholders on these companies’ performance is enhanced by CSR strategies. Page(s): 570-574 Mon, 01 Oct 2018 00:00:00 GMT http://nopr.niscpr.res.in/handle/123456789/45114 2018-10-01T00:00:00Z