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Blockchain abetted supply chain management /
Patent Number: 202241004710, Applicant: Ghanesh Gunaseelan.
The invention block chain abetted'supply chain management comprising, a physical product receiver gets the information by a smart label through accessing a block of a blockchain stored on a computer system, a cold chain requirement for a product, wherein the smart label is associated with a package containing the product, the cold chain requirement ' for the product is stored in the block of the blockchain. -
Impact of management - Information - system (MIS) on effective HRM in a business /
Patent Number: 202241006289, Applicant: Dr.K.Santhana Lakshmi.
Impact of Management- Information- System (MIS) on effective HRM in a business Abstract: Human resource management is now recognised as a critical component of business. The human resources department of an ERP system has a transaction processing layer that handles tasks such as attendance tracking and wage calculation. Tracking employees is also a component of operational work. This serves as the jumping-off point for strategic work. With the increasing importance of human resource management and the growing size of businesses, maintaining employee data and producing accurate reports have become critical components of any business's operations and strategy. -
Social media as an instrument for political communication: A case study on the Kanhaiya Kumar issue /
Social Media has emerged as an essential tool of communication and has created new ways of political mobilizing and encourage social media users in political activities ranging from joining their political groups by tweeting, status update, expressing supports through blogs and videos on Youtube. Kanhaiya Kumar is the current President of the Jawaharlal Nehru University Students' Union. He is also a leader of the All India Student Federation (AISF), the student wing of the Communist Party of India (CPI). -
Studies on the Fresh Water Algal Floria in Chimmony Wildlife Sanctuary
Algae is a crucial organism in the environment. They help in maintaining the balance among different ecosystems. According to the geography and climatic conditions, newlineKerala has a suitable environment for algal growth. However, the algal biodiversity newlinestudies conducted in Kerala are significantly less. The wildlife sanctuary comprises a newlineconsiderable scope for algal biodiversity. The Chimmony wildlife sanctuary is situated in Mukundapuram taluk of Thrissur district. It spreads over 85.067 km2 with a water spread area of 10.1 km2. Ten different sampling stations were selected across newlinethe wildlife sanctuary, and extensive field visits were conducted to identify and newlinedocument the algae with respect to three seasons (pre-monsoon, monsoon, and post- newlinemonsoon). The physicochemical parameters of water like dissolved oxygen, temperature, pH, alkalinity, total dissolved solids, light intensity, and rainfall amount were estimated seasonally. In this present study, a total of 121 taxa belonging to 60 genera, 38 families, 24 orders, and 5 classes, namely Chlorophyceae, Bacillariophyceae, Euglenineae, Rhodophyceae, and Cyanophyceae, were identified from 10 different stations. The Bacillariophyceae and Chlorophyceae were the most dominant class in the study area. The algal multiplication will be more in the pre monsoon season and it was observed that the Chlorophyceaen members were dominant, while the Bacillariophyceae were dominant during the post-monsoon season. Cyanophyceae was dominant only during the monsoon season because of its sensitivity toward light. The ANOVA (Two-way) analysis showed no significant difference between stations, and there is a considerable difference between seasons for dissolved oxygen, alkalinity, temperature, and total dissolved solids. While pH, showed no significant difference between seasons and stations, light intensity showed a substantial difference between stations and seasons. The temperature and dissolved oxygen showed a negative correlation. -
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Portrayal of India in western music videos /
The purpose of the study is to find out whether the perception of India in the western music videos are negative or positive. The researcher focuses on the various elements used by the creators of the music videos which depicts India. The songs selected by the researcher are the ones in which India is majorly shown (visuals, clothes, beats, etc.). The researcher conducts a perspective analysis from the point of view of experts from the music and the cultural studies background. -
A Study on Near Proper Coloring of Graphs
An equitable coloring of a graph G is a proper vertex coloring in which the number of vertices in any two color classes are equal or almost equal. In this graph coloring, there is a partition of tasks into subsets which perform at the same time. Equitable coloring play an important role when there is a requirement of dividing a system with binary conand#64258;ict free subsystems with equal or newlinenearly equal elements. The non-availability of sufcient number of colors leads to diand#64256;erent defective coloring problems. An equitable near proper coloring of a graph G is an improper coloring in which the vertex set can be partitioned into k color classes V1, V2, . . . , Vk ; (1 lt k lt and#967;e(G)) such that the number of vertices in any two color classes diand#64256;er by at most one and the resulting monochromatic edges are minimised by restricting the number of color classes that can have adjacency among their own elements. The minimum number of monochromatic newlineedges obtained from an equitable near proper coloring of G is called equitable defective number. This study introduces the notion of equitable near proper coloring of a graph G and investigates the equitable defective number for a few graph classes. In this study, the equitable near proper coloring of various graph classes and derived graphs are discussed, and the corresponding equitable newlinedefective number for any k where 2 and#8804; k and#8804; and#967;e(G) and#8722; 1 is obtained. -
Surface tempering of poly-(3 thiophene acetic acid) coated carbon fiber paper electrode with spine-like cobalt inorganic phosphate: An efficacious electrochemical metol sensor /
Surfaces and Interfaces, Vol.35, ISSN No: 2468-0230.
N-methyl-p-aminophenol sulfate (metol) is a photographic developing agent that has a toxic effect on humans and aquatic life. A cost-effective and sensitive electrochemical sensor was developed by electrodepositing Co-Pi over poly-(3 thiophene acetic acid) coated carbon fiber paper electrode (Co-Pi/PTAA/CFP) for the determination of metol (ML). Surface modification of Co-Pi facilitates superior electrocatalytic performance by offering more active sites and faster electron transport kinetics. The Physico-chemical characterization of the fabricated electrode was carried out by X-ray diffraction (XRD), X-ray photoelectron spectroscopy (XPS) Field emission scanning electron microscopy (FESEM) with energy-dispersive X-ray spectroscopy (EDS), Optical profilometer, Fourier transform infrared spectroscopy (FTIR), and electroanalytical techniques. -
A road map on nanostructured surface tuning strategies of carbon fiber paper electrode: Enhanced electrocatalytic applications /
Journal of Science: Advanced Materials and Devices, Vol.7, Issue 3, ISSN No: 2468-2179.
Impressive characteristics of carbon fiber paper (CFP) electrodes propound greater demand in electrochemical applications. CFP has a network structure composed of interwoven carbon fibers (CFs). The macroporous structure, chemical inertness, high conductivity, low cost, corrosion resistance, good electrical properties, mechanical strength, and self-standing capabilities have led to the large-scale acceptance of CFP. This review appraises the current progress of CFP based electrodes for electrocatalytic applications in the field of electrochemical sensors, electrochemical capacitors, batteries, electro Fenton oxidation, electrooxidation of alcohols, water splitting, hydrogen evolution reaction (HER), and oxygen evolution reaction (OER) together with the different fabrication strategies on the CFP substrate in an organized manner. -
Adoption of cashless payment systems among consumers
The primary goal of any national payment system is to ensure smooth circulation of money. An efficient and secure payment system triggers economic activity and electronic payment systems in particular, benefit both the customer s and the country s economic growth. Diverse payment systems function ranging from paper-based ones where the instruments are physically exchanged and settlements worked out manually, to the sophisticated electronic fund transfer systems which are fully secured and transactions settled on a gross, real-time basis. Researchers have used various technology adoption models to predict their usage. The purpose of the study is to investigate the key driving factors responsible for the consumers adoption of cashless payment system. A descriptive study method using the paradigm of post - positivism was employed with a sample of 390 respondents from Bangalore who have used cashless payments. They were selected by purposive sampling using snowball sampling. The study is based on both primary and secondary sources of information. The current study extended the UTAUT with new constructs Habit, Hedonic Motivation, Price Value, Trust, Innovativeness, Perceived Risk, Attitude Towards Using Cashless Payment System and Anxiety. The findings of the study reveal that the factors namely Effort Expectancy, Performance Expectancy, Social Influence, Habit, Facilitating Conditions, Hedonic Motivation, Price Value, Trust, Innovativeness, Perceived Risk, Attitude Towards Using Cashless Payment System and Anxiety have significant influence on the consumers cashless payment usage. A close positive correlation of cashless payment systems usage with the independent variables was seen. The gender, age, income, occupation and educational qualification of the respondents has a significant role to play in their willingness to use cashless payments. The study gives an insight on what the considerations to look into while launching a new payment system are and the means to deal with consumers to adopt and use the same. -
Adoption of cashless payment systems among consumers
The primary goal of any national payment system is to ensure smooth circulation of money. It is recognized worldwide that an efficient and secure payment system triggers the economic activity. Efficiency in payment systems in general and electronic payment systems in particular, benefits both customer and country’s economic growth. There are diverse payment systems functioning in the country, ranging from the paper-based systems where the instruments are physically exchanged and settlements worked out manually to the most sophisticated electronic fund transfer systems which are fully secured and transactions settled on a gross, real time basis. Many researchers have used various technology adoption models to predict the adoption of a technology. The main purpose of the study is to investigate the key driving factors responsible for the consumers’ adoption of cashless payment system. A descriptive study method using the paradigm of post - positivism was employed in the study with a sample of 390 respondents from Bangalore who have already used cashless payments. These consumers were selected by purposive sampling using snowball sampling. The study is based on both primary and secondary sources of information collected from various sources. -
Lora-WAN Powered by Renewable Energy, and Its Operation with Siri / Google Assistant
LoRa WAN is a newly emerged game changing communication technology for sending small data packets of size 50 bytes or less, wirelessly over an area of up to 10 Km without the need of an internet connection. LoRa WAN has its own frequency band and the band is different for every country. This technology is now starring to boost WSN technology better than ever before. This paper aims to, power up a LoRa Enabled Device or a LoRa Gateway by using a reliable dual mode non-conventional energy resource for storage and utilization, find peak performances altering the data rate that can be achieved in a LoRa WAN Communication (using Indoor RAK Gateway), make use data compression techniques, data packet encoding/decoding, Coding Apple Shortcuts, setting up Siri and Google Assistant for voice control and future scope. 2020, Asian Research Association. All rights reserved. -
Efficient hydrogen evolution reaction performance of Ni substituted WS2 nanoflakes
We have investigated the structural, optical and electrocatalytic hydrogen evolution reaction (HER) performance of pristine, Co and Ni substituted WS2 nanoflakes synthesised by facile hydrothermal method. The XRD pattern confirms the formation of hexagonal WS2 for both pristine and substituted WS2 nanoflakes. The FESEM images validate the flake-like structure for both pristine and substituted WS2. In addition, we have also analysed the Raman and UV-Vis absorbance spectra of the samples. The electrocatalytic studies reveal that the nickel-substituted WS2 (Ni-WS2) nanoflakes show superior hydrogen evolution (HER) performance compared to cobalt-substituted WS2 (Co-WS2) nanoflakes. Hence, we have varied the Ni concentration and investigated the dependence of Ni content on the electrocatalytic performance. It is found that the electrocatalytic performance of the Ni-WS2 nanoflakes increases with an increase in Ni content owing to the modified edge structures. Thus, our studies suggest Ni substitution in WS2 nanostructures can boost electrocatalytic HER performance. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2024. -
Applications of Machine Learning and Deep Learning Models in Brain Imaging Analysis
Brain imaging is an umbrella term including many non-invasive techniques that objectively monitor brain function. Such monitoring leads to understanding how the brain works by presenting selected stimuli. More importantly, brain function monitoring allows physicians to diagnose and predict brain disorders. In the last decade, several machine learning and deep learning models have been developed by researchers to process and analyse brain imaging data for the diagnosis, detection, and prediction of brain disorders, such as stroke, schizophrenia, autism, psychosis, and Alzheimers. This chapter reviews the various applications and properties of machine learning and deep learning models for brain image analysis. The chapter also highlights the deep learning models that have either understood the test of time or shown the promise to solve challenging problems involving brain imaging data. The review also discusses various open issues yet to have practical solutions or methodologies with the help of machine learning and deep learning. The research covers a wide range of imaging modalities, disorders and models to expose researchers and practitioners in neurological disorders and machine learning and deep learning to each others field, hopefully leading to fruitful collaborations and practical solutions for processing brain images. 2024 selection and editorial matter, Anitha S. Pillai and Bindu Menon; individual chapters, the contributors. -
Genome analysis for precision agriculture using artificial intelligence: a survey
Precision agriculture is a farm management technique which uses the help with the help of information technology to ensure that the crops and soil receive exactly what is required for optimum health and productivity. Genome analysis in plants helps to identify the plant structure and physiological traits. The identification of the right plant genome and the resulting traits help to optimize the cultivation of the plant for better productivity and adaptability. Genome analysis helps the biologist edit the plant genetic makeup structure to make the plant to adapt to the current conditions and thereby reducing the use of fertilizers. For precision agriculture, artificial intelligence techniques help to understand the relationships between plant genome and soil nutrient conditions that help in precision farming effectively reducing the usage of fertilizers by modifying the plants to adapt with the current soil characteristics. The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd 2021. -
EDGE INCIDENT 2-EDGE COLORING SUM OF GRAPHS
The edge incident 2-edge coloring number, ?ein2(G), of a graph G is the highest coloring number used in an edge coloring of a graph G such that the edges incident to an edge e = uv in G is colored with at most two distinct colors. The edge incident 2-edge coloring sum of a graph G, denoted as (Formula presented.), is the greatest sum among all the edge incident 2-edge coloring of graph G which receives maximum ?ein2(G) colors. The main objective of this paper is to study the edge incident 2-edge coloring sum of graphs and find the exact values of this parameter for some known graphs. I??k University, Department of Mathematics, 2025; all rights reserved. -
Edge incident 2-edge coloring of graphs
The edge incident 2-edge coloring of a graph G is an edge coloring of the graph G such that not more than two colors are assigned to the edges incident to an edge e = uv in G. In other words, for every edge e in G, the edge e and all the edges that are incident to the edge e is in at most two different color classes. The edge incident 2-edge coloring number ?n2(G) is the maximum number of colors in any edge incident 2-edge coloring of G. The main objective of this paper is to study the edge incident 2-edge coloring concept and apply the same to some graph classes. Besides finding the exact values of these parameters, we also obtain some bounds. World Scientific Publishing Company. -
Vertex neighborhood restricted edge achromatic sums of graphs
The vertex induced 2-edge coloring number ?vi2?(G) of a graph G is the highest number of colors that can occur in an edge coloring of a graph G such that not more than two colors can be used to color the edges in the induced subgraph (N[v]) generated by the closed neighborhood N[v] of a vertex v in V (G). The vertex induced 2-edge coloring sum of a graph G denoted as vi2?(G), is the greatest sum among all the vertex induced 2-edge coloring of a graph G which concedes ?vi2?(G) colors. The vertex incident 2-edge coloring number of a graph G is the highest number of colors required to color the edges of a graph G such that not more than two colors can be ceded to the edges incident at the vertex v of G. The vertex incident 2-edge coloring sum of a graph G denoted as vi2?(G), is the maximum sum among all the vertex incident 2-edge coloring of graph G which receives maximum ?vin2?(G) colors. In this paper, we initiate a study on the vertex induced 2-edge coloring sum and vertex incident 2-edge coloring sum concepts and apply the same to some graph classes. Besides finding the exact values of these parameters, we also obtain some bounds and a few comparative results. 2023 World Scientific Publishing Company. -
VERTEX INDUCED k-EDGE COLORING AND VERTEX INCIDENT k-EDGE COLORING OF GRAPHS
Let k ? 2 be a natural number. Then the vertex induced k-edge coloring number ? vik(G) of a simple connected graph G = (V,E) is the highest number of colors needed to color the edges of a graph G such that the edges of the subgraph induced by the closed neighborhood N[v] of the vertex v ? V (G) receives not more than k colors. The vertex incident k-edge coloring number ? vink(G) of a simple connected graph G = (V,E) is the highest number of colors required to color the edges of a graph G such that the edges incident to a vertex v in graph G receives not more than k colors. In this paper, we initiate the study on ? vik(G) and ? vink(G). We also determine the exact values of ? vik(G) and ? vink(G) for k = 2 for some special graphs. 2023 Yarmouk University. All rights reserved. -
VERTEX INDUCED 2-EDGE COLORING AND VERTEX INCIDENT 2-EDGE COLORING OF SOME GRAPH PRODUCTS
Let G = (V, E) be a simple connected graph with vertex set V and edge set E. The vertex induced 2-edge coloring number ?vi2? (G) is the maximum number of colors used in coloring the edges of a graph G such that for each vertex v ? V, at most two edges in the induced subgraph ?N[v]?, generated by the closed neighborhood N[v], receive different colors. The vertex incident 2-edge coloring number ?vin2? (G) of graph G is the maximum number of colors required to color the edges of G such that at most two edges incident to a vertex v in G receive different colors. In this paper, the vertex induced 2-edge coloring number and vertex incident 2-edge coloring number of some graph products such as Cartesian product and strong product are discussed. The ?vi2?(G) and??vin2(G) number in the rooted product of a general connected graphs with some graph classes are also discussed in this paper. Palestine Polytechnic University-PPU 2022.