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All Journal Bulletin of Electrical Engineering and Informatics Journal of Indonesian Applied Economics Indonesian Journal of Electrical Engineering and Computer Science Danadyaksa: Post Modern Economy Journal
Sharma, Sachin
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Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering

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Solar photovoltaic integrated load frequency control of power system using variable structure fuzzy controller Masikana, Sboniso; Sharma, Gulshan; Sharma, Sachin
Bulletin of Electrical Engineering and Informatics Vol 13, No 6: December 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v13i6.7806

Abstract

The incorporation of renewable energy sources into modern power systems is on the upswing, intending to produce and deliver cost-efficient electricity to meet the ever-increasing demands of today’s world. Solar energy stands out as a plentiful and robust solution for meeting current electricity requirements. However, integrating solar photovoltaic (PV) generated power into the contemporary power system introduces complexity, necessitating the development of suitable control design to ensure effective regulation of load frequency control (LFC). This research paper concentrates on the mathematical modeling and integration of solar PV generated electricity into a hydrothermal system. In addition, this study also evaluates the performance of the variable structure fuzzy (VSF) control with reduced rule base for hydrothermal system concerning varying degrees of disturbances in one or in both regions of the power system. Moreover, the research reveals that the integration of PV power into hydro-thermal systems can improve the LFC outputs and mitigate system deviations in the face of different disturbance scenarios.
Modified-vehicle detection and localization model for autonomous vehicle traffic system Juyal, Amit; Sharma, Sachin; Bhadula, Shuchi
Indonesian Journal of Electrical Engineering and Computer Science Vol 37, No 2: February 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v37.i2.pp1183-1200

Abstract

The modification of vehicles for financial gain is an evolving tendency observed in India. Recognizing and detecting of these modified illicit cars is an important but critical task in autonomous vehicles (AV). It is always possible for a cyclist or pedestrian to traverse obstacles or other fixed objects that appear in front of any moving vehicle. Vehicles that are autonomous or self-driving require a different system to quickly identify both stationary and moving objects. A deep learning model named you only look once version 5 (YOLOv5)-convolutional block attention module (CBAM) is proposed here for the Indian traffic system which is based on YOLOv5m. The proposed algorithm, YOLOv5-CBAM, has three major components. The first module, the backbone module is employed for feature extraction. The second module is to detect static as well as dynamic objects at the same time and the third CBAM module is adopted in the backbone and neck part, which mainly focuses on the more prominent features. Two cross stage partial (CSP) modules were used after every convolutional layer resulting in an additional head to the proposed model. Four head modules equipped with anchor boxes performed the final detection. For the present dataset, the proposed model showed 98.2% mean average precision (mAP), 98.4% precision, and 94.8% recall as compared to the original YOLOv5m.
Exploring the Informal Economy: Analysis of Unincorporated Enterprises in Jammu & Kashmir, India Jakhar, Babloo; Kumar, Vijay; Sharma, Sachin; Sharma, Swati
Danadyaksa: Post Modern Economy Journal Vol. 2 No. 2 (2025): Post Modern Economy Journal
Publisher : Yayasan Pendidikan Islam Bustanul Ulum Mojokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69965/danadyaksa.v2i2.115

Abstract

This paper aims to present a descriptive analysis of unincorporated non-agricultural enterprises (excluding construction) in the Jammu & Kashmir region, highlighting the unique dynamics of the informal sector in the area. Specifically, it seeks to address key research questions regarding the drivers of growth in this sector, the extent of its divergence from national trends, and its implications for local economic development. Through the use of unit-level data from the National Sample Survey Office (NSSO) for the period 2010-11 and 2015-16, the study provides a descriptive analysis that underscores the rapid growth of such enterprises in Jammu & Kashmir compared to the national level. The findings indicate that unincorporated enterprises in Jammu & Kashmir have grown at a significantly faster rate than the all-India average, driven by factors such as supportive local policies, increased entrepreneurial initiatives, and socio-economic conditions unique to the region. This expansion signifies a trend towards increased self-employment and diversified income sources for the local population. However, the growth of the informal sector in Jammu & Kashmir also reveals that the region's economy is still heavily reliant on this sector, in contrast to the overall contraction of the informal sector across India. This divergence points to a structural transformation gap between the Jammu & Kashmir region and the national economy, which warrants further investigation through policy analysis, sector-specific studies, and socio-economic evaluations to better understand the underlying causes and potential solutions. Understanding this gap is crucial for formulating policies aimed at fostering inclusive and sustainable economic development in the region.
FISCAL REALITIES UNVEILED: ASSESSING JAMMU AND KASHMIR’S ECONOMY POST-ARTICLE 370 ABROGATION Sharma, Sachin; Yadav, Sunil; Kumar, Vijay; Jakhar, Babloo
Journal of Indonesian Applied Economics Vol. 13 No. 1 (2025): February - June 2025
Publisher : Department of Economics, Faculty of Economics and Business, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jiae.2025.013.01.6

Abstract

Purpose To assess the fiscal transformation of Jammu & Kashmir (J&K) after the abrogation of Article 370 and its reorganization in October 2019, with a focus on changes in resource mobilization and allocation. Design/methodology/approach A comparative analysis of secondary data (2015–16 to 2023–24) examining (a) central transfers as a share of GSDP, (b) own-tax revenue relative to GSDP, and (c) capital expenditure by the former state and through centrally sponsored schemes Findings Post‐2019, central transfers rose from 22% to 28% of GSDP, and own-tax revenue increased from 5% to 9%, indicating better fiscal capacity. Capital spending also rose significantly: state outlays grew from 5% to 11% and CSS spending from 2% to 7% of GSDP. Despite this, under-utilization of grants, particularly in health and education highlights governance and accountability gaps Research limitations/implications The use of secondary data limits understanding of sub-regional disparities and underlying inefficiencies. Future studies could include field surveys and interviews to explore institutional challenges. Originality/value This is one of the first empirical studies on J&K’s fiscal shifts post-reorganization, offering policy-relevant insights for improving transfer mechanisms and institutional capacity to support inclusive development.  
Co-Authors Bhadula, Shuchi Jakhar, Babloo Juyal, Amit Masikana, Sboniso Sharma, Gulshan Sharma, Swati Vijay Kumar Yadav, Sunil