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Sujit Das,Krishnendu Gupta 대한공간정보학회 2019 Spatial Information Research Vol.27 No.5
To secure food and other associated need for growing population, the only way is to increase agricultural production and to utilize the land with respect to its potentiality in a sustainable way. In the present study an attempt has been made to evaluate sustainable land use/- land cover planning in Buried Pediment Shallow (BPS) and Buried Pediment Medium (BPM) region in Gangajalghati block, Bankura district, India using remote sensing and GIS techniques. BPS consists of weathered and unconsolidated materials with thin soil cover (0–5 m) mainly sand mixed with silt and clay. BPM consists of gently sloping dissected topography with shallow to deep soil profile (5–20 m) which are characterised by severely eroded, coarse textured, stoniness and acidic soils. Ruggedness of the topography, scarcity of water, soil acidity (pH 5–6) and soil erosion are the key problems in this area, which hampers the productivity of the land. Hence these soils have very low moisture holding capacity and very low nutrient status. To overcome these problems, different thematic maps are taken into consideration for recommendation of land use/land cover planning in this area. This study will facilitate enhancement of agricultural productivity in a sustainable manner and restoration of ecological balance between degraded and rain fed ecosystems.
An approach for decision making using intuitionistic trapezoidal fuzzy soft set
Sujit Das,Mohuya B. Kar,Samarjit Kar,Tandra Pal 원광대학교 기초자연과학연구소 2018 ANNALS OF FUZZY MATHEMATICS AND INFORMATICS Vol.16 No.1
Introduction of soft sets by Molodtsov (1999) has evolved a revolution in the decision making paradigm. Researchers have used soft sets with different extensions of fuzzy sets to satisfy the various types of uncertainties involved with real life decision making problems. This paper introduces intuitionistic trapezoidal fuzzy soft set (ITrFSS) by combining intuitionistic trapezoidal fuzzy set (ITrFS) with soft set. Firstly, we generalize the adjustable approach applied to intuitionistic fuzzy soft set (IFSS) based decision making developed by Jiang et al. (2011) and then present an approach to ITrFSS based decision making using threshold ITrFSs and level soft sets. Moreover, we propose weighted ITrFSS and apply it in a decision making problem. Fuzzy analytic hierarchy process (AHP) has been used to derive the attribute weights. This paper has also validated the outcome of the adjustable approaches based on ITrFSS and weighted ITrFSS using closeness coefficient measure. Finally, two illustrative examples are provided to show the feasibility of the proposed approaches in real life decision making problems.
Sujit Kumar Das,Pinki Roy,Arnab Kumar Mishra 한국통신학회 2022 ICT Express Vol.8 No.2
Diabetic Foot Ulcer (DFU) is a complication of diabetes that causes lower limb amputation. In this work, a unique stacked parallel convolution layers-based network (DFU_SPNet) is proposed to perform DFU vs. normal skin classification. The main objective of this work is to design an effective CNN-based classification model, along with proper fine-tuning of optimizer settings. DFU_SPNet consists of 3 blocks of parallel convolution layers with multiple kernel sizes, for local and global feature abstractions. The proposed DFU_SPNet, trained using SGD (with momentum) optimizer with learning rate on the DFUNet dataset, outperformed the current state-of-the-art results with an AUC of 0.974.
Dhar, Sujit,Dutta, Biswajit,Ghoshroy, Debasmita,Roy, Debabrata,Sadhu, Pradip Kumar,Ganguly, Ankur,Sanyal, Amar Nath,Das, Soumya Techno-Press 2017 Advances in computational design Vol.2 No.4
High frequency full bridge series resonant inverters have become increasingly popular among power supply designers. One of the most important parameter for a High Frequency Full Bridge Series Resonant Inverter is optimal coil design. The optimal coil designing procedure is not a easy task. This paper deals with the New Approach to Optimal Design Procedure for a Real-time High Frequency Full Bridge Series Resonant Inverter in Induction Heating Equipment devices. A new design to experimental modelling of the physical properties and a practical power input simulation process for the non-sinusoidal input waveform is accepted. The design sensitivity analysis with Levenberg-Marquardt technique is used for the optimal design process. The proposed technique is applied to an Induction Heating Equipment devices model and the result is verified by real-time experiment. The main advantages of this design technique is to achieve more accurate temperature control with a huge amount of power saving.
Md Najmus Saadat,Sujit Das,Senjuti Nandy,Divya Pandey,Monojit Chakraborty,Usha Mina,Abhijit Sarkar 대한공간정보학회 2022 Spatial Information Research Vol.30 No.2
Air pollution is a serious concern with the developing economics in India and gets more severe when it has major cities ranked among the top 30 polluted cities worldwide. To find a solution, different programs and/or policies have been launched for air quality management country-wide. Unfortunately, no such plan could effectively solve the purpose rather than an unexpected COVID- 19 pandemic situation in India. Our study focused on the air pollution status and air quality index (AQI) in 42 cities (that includes 6 metros) representing North, South, East, West, Central, and North-East region of India during the pre-lockdown, four lockdowns and unlock phases. The results depict most of the pollutants except ozone (O3) were significantly reduced in the lockdown-1, and marginally increased in subsequent lockdown phases. Regarding the average AQI, its value was highest in North Indian cities (227), followed by East India (172), Central India (141), North-East India (130), West India (124), and South India (83) during the pre-lockdown. Due to COVID- 19 induced lockdown, North Indian cities observed the highest dip in average AQI (108), followed by Central India (113), East India (82), West India (73), South India (55), and North-East India (49) in the lockdown and unlock phases. Thus, the study gave a conspicuous vision on mitigation of air pollution under this pandemic; and, if strategic centralized policies are sensibly implemented and by involving the participation of people of India, then there is a feasibility of air pollution issue management.
Anamika Roy,Mamun Mandal,Sujit Das,Manoj Kumar,Robert Popek,Amit Awasthi,Balendu Shekher Giri,Kartick Chandra Mondal,Abhijit Sarkar 대한환경공학회 2023 Environmental Engineering Research Vol.29 No.3
Recent regulations on exhaust emissions have led to an increase in non-exhaust emissions, which now surpasses exhaust emissions. Non-exhaust emissions are mainly generated from brake and tire particle abrasion, road wear, and re-suspended road dust. In Asia, non-exhaust emissions have increased significantly over the past 50 years, resulting in almost 92% of the population breathing polluted air, which accounts for 70% of air pollution related-deaths. Most Asian countries with poor air quality are developing or underdeveloped. Taking this into consideration, the current study aims to shed light on particulate pollution from non-exhaust emissions in the Asian context to assess the current status and its health consequences and provides technological solutions. The study is based on an in-depth analysis of existing reviews and research concerning non-exhaust emissions and their health impacts in Asia to pinpoint knowledge gaps. The study found that particulate pollutants had exceeded WHOs standards in many Asian countries, bringing deleterious health consequences among children and the elderly. The findings underscore the significance of future researchers efforts to devise solutions that curtail non-exhaust emissions, ultimately reducing air pollution, augmenting air quality, fostering better health outcomes, and paving way for a more sustainable future before it is too late.