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Sahani, Ashok Kr.,Samanta, Amiya K.,Roy, Dilip K. Singha Techno-Press 2019 Advances in concrete construction Vol.7 No.4
In the present work, Granulated Blast Furnace Slag (GBFS) and Fly ash (FA) were used as partial replacement of Natural Sand (NS) and Ordinary Portland Cement (OPC) by weight. One control mix, one with GBFS, three with FA and three with GBFS-FA combined mixes were prepared. Replacements were 50% GBFS with NS and 20%, 30% and 40% FA with OPC. Preliminary investigation on development of compressive strength was carried out at 7, 28 and 90 days to ensure sustainability of waste materials in concrete matrix at room temperature. After 90days, thermo-mechanical study was performed on the specimen for a temperature regime of $200^{\circ}-1000^{\circ}C$ followed by furnace cooling. Weight loss, visual inspection along with colour change, residual compressive strength and microstructure analysis were performed to investigate the effect of replacement of GBFS and FA. Although adding waste mineral by-products enhanced the weight loss, their pozzolanicity and formation history at high temperature played a significant role in retaining higher residual compressive strength even up to $800^{\circ}C$. On detail microstructural study, it has been found that addition of FA and GBFS in concrete mix improved the density of concrete by development of extra calcium silicate gel before fire and restricts the development of micro-cracks at high temperature as well. In general, the authors are in favour of combined replacement mix in view of high volume mineral by-products utilization as fire protection.
Sahani Nemai,Goswami Sudipto Kumar,Saha Arghya 대한공간정보학회 2021 Spatial Information Research Vol.29 No.4
The COVID-19 pandemic and related lockdown reduced the pollution level in the major megacities worldwide. The air pollution level of the city directly influences the air temperature and also land surface temperature (LST). In this paper, authors analyzed the impact of lockdown due to COVID-19 pandemic on the pollution level of the city and resulted LST. Single channel algorithm has been used to retrieve LST from Landsat Thematic Mapper satellite data. Pre-lockdown and postlockdown satellite data has been used to show the changes in LST due to lockdown. The air quality index of prelockdown and post-lockdown period of the city estimated based on seven pollutants such as PM2.5, PM10, NO2, NH3, SO2, CO and Ozone. The pollution level of the city and LST significantly decreased after lockdown is enforced. The pollution level of the major portion of the city before lockdown is moderately polluted (95–153 lm) and after lockdown the satisfactory level of pollution level observed (33–45 lm). The mean LST before lockdown is 28.76 C (13 March, 2020) and it decreased down to 26.56 C after lockdown (30 April, 2020). There is a sharp decrease of low value of LST observed (23.6–17.35 C) in the city.
Design of Face Recognition based Embedded Home Security System
( Mrutyunjanya Sahani ),( Subhashree Subudhi ),( Mihir Narayan Mohanty ) 한국인터넷정보학회 2016 KSII Transactions on Internet and Information Syst Vol.10 No.4
Home security has become the prime concern for everyone in present scenario. In this work an attempt has been made to develop a home security system which is accessible, affordable and yet effective.The proposed system is based on `Remote Embedded Control System` (RECS) which works both on the web and gsm platform for authentication and monitoring. This system is therefore cost effective as it relies on existing network infrastructure. As PCA is most popular and efficient algorithm for face recognition, it has been usedin this work. Next to it an interface has been developed for communication purpose in the embedded security system through the ZigBee module. Based on this embedded system, automated control of door movement has been implemented through electromagnetic door lock technology. This helps the users to monitor the real-time activities through web services/SMS. The web service consists of either web browser command or e-mail provision. The system establishes the communication between the system and authenticated user. The e-mail received by the system from the authorized person will monitor and control the real-time operation and door lock. The entire control system is reinforced using ARM1176JZF-S microcontroller and tested for actual use in the home environment. The result shows the experimental verification of the proposed system.
Rima Sahani,Abhishek Ojha,P. K. Bhuyan 대한토목학회 2017 KSCE JOURNAL OF CIVIL ENGINEERING Vol.21 No.7
This study aims at developing a model for pedestrian to evaluate service measure at the roadside walking environment from the qualitative and quantitative analysis in developing countries. The potential primary factors influencing service measure of pedestrian were summarized taking consideration to heterogeneous traffic flow condition and perception of road users. Total 735 real-time sense of participant's satisfaction when they are using the sidewalks, road geometric as well as operational characteristics of the road segments were collected from the 73 sites. The selected sites belong to midsized cities with varying geometric features. Different statistical investigations like factor analysis, Wilks’ lambda test and stepwise regression analysis were carried out to develop PLOS model for sidewalk facilities. From the results it has been observed that the variables taken such as width of sidewalk, vehicle volume, pedestrian volume etc. are significantly influencing the pedestrian service measure and the model was validated with a significance value of R2 = 0.972. The PLOS scores got from the model are then classified using Genetic Programming clustering to find the six PLOS ranges (A-F) which show score for PLOS A ≤1.8 with best condition and PLOS F > 5.1 having worst condition of service.
Broad Learning Based Fault Detection and Diagnosis Method for Three-Phase Six Switch Converter
Marif Daula Siddique,Mrutyunjaya Sahani,Sanjib Kumar Panda 전력전자학회 2023 ICPE(ISPE)논문집 Vol.2023 No.-
Since the last few decades, research on power converters has been critical of the power electronics field. In recent years, the two level converter has gained a lot of attention due to its simple structure and control for various applications. From the design phase to manufacturing, converter reliability is a key performance indicator that must be considered. Due to the vast number of interdependent components and subassemblies that constitute the 2L converter, it is vulnerable to a wide variety of failure modes and processes. Fault-tolerant ability of the topologies is very crucial for the reliable operation of the overall system. This paper provides an analytical study of the fault-tolerant ability of the 2L converter with open-circuit fault (OCF). This analysis has been used for the detection and identification of faulty components using less computational complex broad learning system. The superior fault recognition capability of the proposed work proves the robustness of the proposed method for the fault diagnosis of 2L power converter.