ECOSENSE: An Energy Consumption Protocol for Wireless Sensor Networks

AbstractThis paper ‘ECOSENSE’ proposes a medium access protocol derived for wireless sensor networks. Energy is a precious resource for wireless sensor networks, as sensor nodes are powered by small batteries. Various approaches have been proposed so far, to increase the life of wireless sensor networks. With the goal of developing a practical, efficient energy consumption protocol for wireless sensor networks, we introduced a threshold policy for the nodes in the entire network, where the sensors are distributed activated, whenever they are required. We calculated the life period of sensors and using priority levels and threshold values, we prolong the lifespan of sensor nodes. Scheduling is done according to the remaining life period of sensor nodes. We compare our algorithm with the existing S-MAC protocol and found considerably better due to its reconfigurable activation policy

FedExLSA: Design and Development of algorithms on Federated Data Exploration of Topic Prediction Using Latent Semantic Analysis

Every government in the world has multiple departments that must function and operate to address the various inquiries raised by the population. The government\u27s diverse range of websites offers citizens a platform to submit inquiries, thereby facilitating the fulfilling of their requirements. Comprehending the subjects addressed in People Query is essential for government services. Unstructured query data is analyzed using extracting information from text techniques such as allocation of Latent diffuser (LDA) and analysis of hidden semantics (LSA). LSA outperforms other methods in terms of performance because of its minimal complexity and quick installation process. Research on decentralized learning techniques for natural language processing (NLP) is necessary due to concerns about limited data availability and privacy. Federated learning (FL) employs methods that enable different users to collectively train an integrated broad model while maintaining their information regionally stored and accessible. Nevertheless, the current body of literature lacks a thorough examination and evaluation of FL techniques. Data federation is an approach to data integration that allows the government to access and query data from multiple diverse sources as if they were a single, unified repository. Functioning as a form of data virtualization, it facilitates the creation of a comprehensive representation of data, thereby enhancing operational efficiency and the accuracy of decision-making. FedEx utilizes Federated Learning to apply topic modelling techniques to common NLP tasks. The proposed structure integrates the FL Methodology with Latent Semantic Analysis to deliver outcomes for intelligent data analysis and management

INCIDENCES OF STAPHYLOCOCCUS SPECIES IN SURGICAL SITE INFECTIONS-PROSPECTIVE STUDY FROM TERTIARY CARE CENTER, COIMBATORE, TAMILNADU

Objective: Surgical site infection (SSIs) is of great importance to regulatory agencies and public because of their clinical implication and occurrence. Human skin is populated with normal bacterial flora, which also gains access during immunocompromised state causing infection. This present study focuses on surveillance of SSIs with emphases over Staphylococcus species infection among patients from tertiary care centers of Coimbatore, TamilNadu, India.Methods: Clinical samples were collected and plated on mannitol salt agar (MSA) medium for isolation of Staphylococcus species. Furthermore, other conventional methods like Gram staining, catalase reaction were also performed in strict aseptic conditions with standard microbiological procedures for sample processing.Results: A total of 221 samples were collected and processed which resulted in 42.08% positivity with 59.13% Gram positive strains. Staphylococcus species were more prevalent in the Gram positive isolates, where other Gram negative microorganisms such as E. coli, P. aeruginosa, K. pneumoniae, M. morganii, E. faecalis, Enterobacter species, A. baumanii, S. marcescens and P. mirabilis were also isolated. The antibiogram pattern of the Staphylococcus species revealed resistance to antibiotics.Conclusion: This study has shown the prevalence of Staphylococcus species among SSIs, implicating the importance of further extended surveillance for better understanding of the prevalence rate and antimicrobial resistance pattern.Â

Optimal packet routing for wireless body area network using software defined network to handle medical emergency

The packet forwarding node selection is one of the main constraints in the Software Defined Network (SDN). To improve the network performance, the SDN controller has to choose the shortest and optimised path between source and destination in routine and emergency packet transmission. In e-health service, information of the emergency patient has to be transferred immediately to remote hospitals or doctors by using efficient packet routing approach in Wireless Body Area Network (WBAN). In WBAN, to improve the packet transmission, the optimal packet routing policy developed based on packets priority with the support of a greedy algorithm for SDN. The SDN Controller selects the forwarding node based on node propagation delay and available bandwidth between two forwarding nodes. The mesh network topology network created for implementation, implementation results are compared with existing research works. Finally, this algorithm implemented in our institution, Software defined communication testbed laboratory (SDCTestbed Lab) with the support of 13 Zodiac-Fx (Forwarding device), 2 Raspberry-Pi3 B+ Model (host) and Arduino kit (sensor node)

Path based load balancing for data center networks using SDN

Due to the increase in the number of users on the internet and the number of applications that is available in the cloud makes Data Center Networking (DCN) has the backbone for computing. These data centre requires high operational cost and also experience the link failures and congestions often. Hence the solution is to use Software Defined Networking (SDN) based load balancer which improves the efficiency of the network by distributing the traffic across multiple paths to optimize the efficiency of the network. Traditional load balancers are very expensive and inflexible. These SDN load balancers do not require costly hardware and can be programmed, which it makes it easier to implement user-defined algorithms and load balancing strategies. In this paper, we have proposed an efficient load balancing technique by considering different parameters to maintain the load efficiently using Open FlowSwitches connected to ONOS controller

Phytotherapeutic control of food borne pathogens by Jasminum sambac L. flowers

Objective: This study is aimed to determine the antibacterial effect of Jasminum sambac against foodborne pathogens.Methods: Antibacterial activity of methanol and chloroform extract of J. sambac flowers against foodborne pathogens (Bacillus cereus, Listeria monocytogenes, Shigella flexeneri, Salmonella serovar enterica Typhi, Staphylococcus aureus and Escherichia coli) were performed using disc diffusion method and their minimal inhibitory concentration (MIC) was also determined. The preliminary phytochemical screening and gas chromatography-mass spectroscopic (GC-MS) analysis of methanol and chloroform extract of J. sambac was analyzed using GC Clarus 500 Perkin Elmer System and gas chromatograph interfaced with a mass spectrometer.Results: Phytochemical and GC-MS studies revealed the presence of bioactive compounds and found to possess antibacterial activity against foodborne pathogens.Conclusion: The present study supports the possible use of these phytotherapeutic agents in the clinical management of foodborne diseases.Keywords: GC-MS analysis, Foodborne pathogens, Jasminum sambac L., Antibacterial activit

Human Cognition and Emotion using Physio Psychological Approach : A Survey

A soldier’s responsibility in the military includes his physical and mental attitudes which makes him to support the army in a full-fledged manner. This type of human dimension recognizes Soldier readiness from training proficiency to motivation for the Army’s future success. It introduces the concept of holistic fitness, a comprehensive combination of the whole person, including all components of the human dimension as a triad of moral, cognitive and physical components. The human dimension concept is directly related to the human mind and memory system. In this research, a system which will be capable of recognizing human emotions based on physiological parameters of a human body is discussed. The data from the system is fed to a computer where it is stored. Stored information regarding human parameters is retrieved and classified using support vector machine to generate a data set about the various emotions the human poses at a specific situation. The emotion, thus calculated is grouped to generate a grade for his present status. This grade is used to recommend the suitable working environment for the person

Drip fertigation of water-soluble fertilizers: A tool to enhance nutrient and water use efficiency- A comprehensive review

Drip fertigation, which integrates drip irrigation with the application of water-soluble fertilizers, stands out as a highly efficient and sustainable agricultural technique. By delivering precise amounts of water and nutrients directly to the plant root zone, this method optimizes both water and nutrient use, significantly boosting crop yields while minimizing environmental impact. This is especially valuable in arid and semi-arid regions, where water scarcity and soil degradation are major concerns. One of the key benefits of drip fertigation is its ability to drastically reduce water wastage. The targeted delivery system minimizes evaporation, runoff and deep percolation losses, resulting in Water Use Efficiency (WUE) far superior to that of traditional irrigation methods. This is crucial for conserving limited water resources and ensuring the sustainability of agriculture in water-stressed areas. Additionally, the integration of fertilizers into the irrigation system enhances Nutrient Use Efficiency (NUE) by supplying nutrients in amounts closely matched to crop needs. This reduces losses from leaching and runoff, maintains soil fertility and lowers the risk of contaminating nearby water bodies. Drip fertigation also supports better crop growth and yield by providing controlled, stage-specific nutrition, which improves growth parameters such as plant height, leaf area and biomass. This leads to higher yields, improved crop quality and greater economic returns for farmers due to reduced input costs and increased productivity. Overall, drip fertigation not only conserves resources and supports food security but also promotes environmentally responsible and resilient farming practices

Length–weight relationship of the endemic velvet leatherjacket, Lalmohania velutina (Hutchins, 1994) inhabiting Gulf of Mannar waters (southeast coast of India)

1097-1098Length–weight relationship (LWR) of an endemic fish, velvet leatherjacket, Lalmohania velutina (Hutchins, 1994) inhabiting Gulf of Mannar (GoM), southeast coast of India was determined during the present study. A total of 131 individuals (male n = 84; females n = 47) were collected from bycatch of shore seines in GoM and used for establishing LWR of this endemic species. The calculated value for parameter 'b' of LWRs were 2.5189, 2.6174 and 2.5614 for male, female and for total individuals (pooled), respectively. Maximum total length (TL) recorded for a female individual (TLmax = 13.4 cm) is the new report of maximum TL in L. velutina. The present study is the first reference on the length-weight relationship and the new maximum length recorded for L. velutina