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All Journal Geoplanning : Journal of Geomatics and Planning Journal of the Indonesian Mathematical Society International Journal of Engineering, Science and Information Technology Indonesian Management and Accounting Research The Eastasouth Journal of Information System and Computer Science
Kumar, Amit
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Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Social Sciences Transportation

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Cayley Graphs Versus Algebraic Graphs Pranjali, Pranjali; Kumar, Amit; Yadav, Tanuja
Journal of the Indonesian Mathematical Society VOLUME 27 NUMBER 2 (July 2021)
Publisher : IndoMS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22342/jims.27.2.800.130-136

Abstract

Let Γ be a finite group and let S ⊆ Γ be a subset. The Cayley graph, denoted byCay(Γ, S) has vertex set Γ and two distinct vertices x, y ∈ Γ are joined by a directed edge fromx to y if and only if there exists s ∈ S such that x = sy. In this manuscript, we characterize the generating setsS for which Cay(Γ, S) is isomorphic to somealgebraic graphs, namely, unit graphs, co-unit graphs, total graph and co-total graphs.
A Smart Leader in VUCA World: Presenting Key Components of Strategic Leadership Using SLR Method Kumar, Amit; Anand, Gunjan; Nandedkar, Tarika
Indonesian Management and Accounting Research Vol. 23 No. 1 (2024): Indonesian Management and Accounting Research
Publisher : Lembaga Penerbit Fakultas Ekonomi dan Bisns, Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/imar.v23i1.18803

Abstract

The current study compiles and summarizes the key findings of the researches conducted on strategic leadership to meet VUCA world’s demand for organizational excellence, sustainable growth, competitive advantages and people centric approach using SPAR-4-SLR protocol technique. Reputed international journals of ABDC A*, A & B ranking are referred to extract corresponding findings of quality research articles on strategic intents of progressive and transformational leadership. Using SLR method the study tries to collate relevant evidences based upon ‘systematic procedures and rationales’ disclosing key parameters of smart leadership required in today’s dynamic business world. Here, ‘smart’ word refers to a ‘learnt leader through experience’ than ‘a trained leader in a business school’. With the help of ‘Systematic Literature Review (SLR)’ technique, the study finds ‘idealized influence (4 component), intellectual stimulation (2 factors), individual consideration (4 factors) and inspirational motivation (4 factors) are identified as the key components of a strategic leadership in today’s VUCA world. The research also presents four elements of a smart leader viz. social intelligence, emotional intelligence, professional wisdom and spiritual intelligence.
Electric Power System Monitoring and Theft Detection using Power Line Communication Awasthi, Minakshi; Kumar, Amit; Kumar, Deepak; Jeet Pal, Indra
International Journal of Engineering, Science and Information Technology Vol 2, No 2 (2022)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (471.024 KB) | DOI: 10.52088/ijesty.v2i2.254

Abstract

Electric power theft is a serious concern in the world irrespective of being major revenue losses and developing a nation. More than one-third part of the electricity generated power is lost due to electric theft, power loss, and inefficiencies in the distribution system. Interdicted or illegal utilization of electricity has not only affected economically but also obstructs the design and modeling phases of the power system. Due to electric theft, providing wrong data input values for power system analysis and difficult to load forecasting. In this paper, an inventive Simulink model is designed to detect and monitoring of electric power theft in power system distribution networks through Power Line Communication (PLC). Electric power theft was detected with variance amendment in the amplitude of carrier signal with a narrow band. PLC technique is utilized for data communication over the power line. A narrow band power line carrier signal which has high frequency transferred in power line alongside with power frequency signal. The deviation in the amplitude of the transmitted carrier signal is monitored at the regular time- intervals and the stealing of electricity can be distinguished by the computing of distinction change within the amplitude of the carrier signal. In a normal case, the signal present fixes pattern and waveform, but in the case of power theft, the signal shows some variation and disturbance in a within waveform pattern. A pattern recognition and monitoring approach is used for direct power theft in the PLC model. The Simulink model is performed on MATLAB software to analyze the performance and efficient results that satisfy the proposed Simulink model.
Informal Settlement Characterization and Socio-Economic Vulnerability Assessment in Kolkata Metropolitan City, India Banerjee, Shravani; Diksha, Diksha; Prasad, Alisha; Kumar, Amit
Geoplanning: Journal of Geomatics and Planning Vol 11, No 2 (2024)
Publisher : Department of Urban and Regional Planning, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/geoplanning.11.2.121-138

Abstract

The study investigates the physical, social, and economic environment of the Kolkata Metropolitan Area (KMA) to elucidate the living conditions of informal settlements and its influence on the local environment using geoinformatics and multi-criteria decision making-analytical hierarchical process (MCDM-AHP). The informal settlements were delineated using high-resolution Google Earth imagery and generic ontology informal settlements. knowledge considering building characteristics, building density, locations of the dwelling units, and their characteristics. The study exhibits that most informal settlements were concentrated in the wards located in the eastern and central parts of the city. The neighborhood land-use functions of the major informal settlements indicated that the informal settlements were highly influenced by green space (R2=0.97), followed by water bodies (R2=0.74), unplanned settlement (R2=0.68) and planned settlement (R2=0.67) in KMA. In addition, the informal settlements were closely associated with very low relief zones (3m to 13m) followed by moderate relief zones (13-23m). The municipal ward-level analysis of the physical-socio-economic health conditions exhibited that most of the areas located in the low vulnerable zones (53.71 km2; primarily in southern, and eastern periphery), followed by very highly vulnerable zones (43.09 km2; primarily in central and northern parts). The study provides an insight into urban areas with special reference to informal settlements and necessitates the implication of effective policy for poverty alleviation. This study encourages the availability of real-time data that can improve mitigation activities in the event of a health disaster, such as SARS COVID-19 through methods for qualitative investigation of disadvantaged locations in Kolkata. 
Artificial Intelligence in Precision Medicine: Enhancing Chronic Disease Management and Genomic Drug Discovery through Predictive Modeling Roy, Antu; Ashik, Md.; Khan, Nirupam; Karim, Delwar; Kumar, Amit
The Eastasouth Journal of Information System and Computer Science Vol. 3 No. 01 (2025): The Eastasouth Journal of Information System and Computer Science (ESISCS)
Publisher : Eastasouth Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/esiscs.v3i01.594

Abstract

This paper explores the transformative role of Explainable Artificial Intelligence (XAI) in precision medicine, focusing on its application in chronic disease management and genomic drug discovery. Through two detailed workflow diagrams, the study highlights the integration of XAI within the clinical decision-making pipeline and biomedical research domains. Figure 1 illustrates a comprehensive process encompassing data acquisition, preprocessing, predictive modeling, and clinician feedback, all underpinned by XAI techniques such as SHAP, LIME, and attention mechanisms. This workflow enhances trust and transparency in AI-driven predictions, empowering clinicians to interpret and act on machine-generated insights. Figure 2 extends this understanding by mapping XAI applications to chronic disease monitoring and genomic analysis. In chronic care, XAI enables risk stratification and personalized interventions, while in genomic drug discovery, it facilitates the identification of potential targets through interpretable machine learning models. Together, these figures underscore XAI’s critical role in translating complex data into actionable healthcare outcomes. By promoting accountability, user trust, and informed decision-making, XAI emerges as a cornerstone for the ethical and effective deployment of artificial intelligence in precision medicine. The paper concludes that integrating explainability into AI models is not only a technical necessity but also a fundamental step toward safer, smarter, and more inclusive healthcare systems.
Co-Authors Anand, Gunjan Ashik, Md. Awasthi, Minakshi Banerjee, Shravani Deepak Kumar Diksha, Diksha Jeet Pal, Indra Karim, Delwar Khan, Nirupam Nandedkar, Tarika Pranjali, Pranjali Prasad, Alisha Roy, Antu Yadav, Tanuja