The Smart Optimization of Security Systems in Wireless Personal Sensor Networks DOI

Sunanda Das,

Sindhu Madhuri G

Published: April 29, 2023

Wireless personal sensor networks (WPSNs) are an emerging technology that provides a platform for monitoring and collecting data from variety of sources. These used to monitor environmental, health, even lifestyle factors. As the use WPSNs continues grow, it is important consider security implications using these networks. rely on technologies ensure secure communication between devices. include encryption, authentication, protocols, key management. Encryption protect being intercepted decoded by unauthorized user. Authentication verify personality user device attempting access WPSN. Secure protocols devices server. Finally, management manage store encryption keys data. In addition must also be designed with robust control system. Access systems limit WPSN based credentials other This assist authorized users alone can stored

Language: Английский

The Performance Optimization of Approximate Minimum Spanning Tree for The Different Mobility Model DOI

V Haripriya,

Shashikala H. K

Published: April 29, 2023

A minimum spanning tree (MST) is a type of graph algorithm used to find the optimal solution for connecting nodes in given network. It sensor networks connect sensors area efficiently. The MST finds shortest paths between all pairs network, thus minimizing energy cost communication. starts by finding path two nodes. then expands search other To do this, considers weights edges and with lowest total weight. approximate variation classic algorithm. This uses heuristics reduce running time eliminates certain that not contribute overall solution. By eliminating these paths, can quickly without sacrificing quality path. be costs associated communication ensure most chosen. also useful multiple area.

Language: Английский

Citations

1

The Smart Development of Human Thinking Prediction Using Complex Fuzzy Systems DOI

Devi Kanniga,

S Arvind.K.

Published: April 29, 2023

The use of complex fuzzy systems to predict human thinking is an area active research. These are based on logic, which approach computing approximation and imprecision. Fuzzy logic has been used in a variety areas, such as control systems, image processing, decision support even robotics. idea behind combination rules, sets, inference approximate the decisions that humans make situations. This means system can take into account uncertainty situation available data. also be trained recognize patterns data predictions about future decisions. In order thinking, needs able factors, situational context, emotions, values. For example, if person deciding whether buy car, would need consider factors price, reliability, environmental impact. person's preferences, their preferred color or style.

Language: Английский

Citations

1

The Optimal Resource Allocation Model for Task Management in Commercial Cloud Server Environment DOI
K. Singh, Atul Kumar Singh

Published: April 29, 2023

The resource allocation in commercial cloud server environment is an important part of any computing infrastructure. resources that are allocated to each determined by the provider, and they vary depending on type service provider offers. include power, memory, storage, bandwidth. It note limited must be a manner maximizes efficiency system. One most aspects ability scale resources. This allows for addition more when additional power or storage capacity needed. make sure able monitored managed. because it being used efficiently meet needs applications running server.

Language: Английский

Citations

1

A Smart Innovation Development of Agriculture Based Irrigation Systems for Rural Heritages DOI
N. Beemkumar,

T. Ramachandran

Published: April 29, 2023

Agriculture-based irrigation systems are essential to the rural heritage due their ability deliver water crops and prevent soil erosion. Irrigation provide a reliable source of for crops, improving crop yields quality. In areas with limited access water, often only way crops. have been used centuries in valuable asset society. many cases, keep alive thriving. Without irrigation, may fail thrive lack leading decreased even failure. While necessary heritages, there potential risks associated using them. can be difficult maintain, loss or over-irrigation is always present. Additionally, expensive install an increased cost burden on farmers. order mitigate agriculture-based systems, farmers should implement conservation practices, such as drip recycling. research different available them, ensure that they most efficient system particular climate conditions. Finally, monitor carefully take steps address any issues arise.

Language: Английский

Citations

1

The Smart Analysis of Poisson Distribution Pattern Based Industrial Automation in Industry 4.0 DOI

Shashikala H. K,

Surjeet Dalal

Published: April 29, 2023

Industry 4.0 is the term used to describe fourth industrial revolution, which characterized by use of advanced technologies such as artificial intelligence, Internet Things, and big data analytics. One patterns that commonly found in Poisson distribution pattern, describes how certain real-world events are distributed over time. This pattern can be measure often occur long it takes for them occur. The a type probability model frequency given period short-term burst events, followed longer less frequent events. especially useful 4.0, predict occurrence machine failures or maintenance alerts. It also identify potential bottlenecks areas improvement production process. an important tool 4.0. problems, optimize processes, improve efficiency. By leveraging this manufacturers ensure their processes running smoothly efficiently.

Language: Английский

Citations

1

The Smart Development of the Large Scale Sensing Techniques in Intelligent Industrial Automation DOI

S Geetha,

T R Mahesh

Published: April 29, 2023

Intelligent industrial automation is becoming increasingly popular, as companies look to automate processes and maximize efficiency. One way they are achieving this through the use of large scale sensing techniques. These techniques enable monitor performance their equipment make adjustments if necessary. Large used in detect physical quantities such temperature, pressure, flow, vibration. By using sensors, can problems before become serious issues. This allows them changes keep machines running efficiently possible. also environment which operating. help identify potential risks, high temperatures or humidity, take necessary measures avoid damage. It better decisions about how deploy resources Lastly, be for predictive maintenance. monitoring machines, early on preventive serious. helps costly repairs downtime, ensures that able smoothly.

Language: Английский

Citations

1

The Smart Development of Maximum Distance Rendezvous Point Model For Commercial Scheduling of Complex Networks DOI

S Geetha,

T R Mahesh

Published: April 29, 2023

The maximum distance rendezvous point for commercial scheduling is a at which two or more flights can meet transfer of passengers and/or cargo. This usually located in an area that geographically convenient and cost-effective both the airline customer. In order to determine point, airlines must consider variety factors, such as between airports, availability ground transportation from airport, number cargo being transferred, arriving departing, cost fuel, safety airspace, weather. also be able accommodate size aircraft involved, well need transferred. accomplished by having designated close airport large enough aircraft, any necessary transportation. should free congestion safe airspace. addition, have adequate security measures place ensure passenger safety. include checkpoints, trained personnel monitor area.

Language: Английский

Citations

1

The population based cognitive testing in subjects with SARS-CoV-2 (POPCOV2) study: longitudinal investigation of remote cognitive and fatigue screening in PCR-positive cases and negative controls DOI Creative Commons

Alina von Etzdorf,

Maja Harzen,

Hannah Heinrichs

et al.

Frontiers in Human Neuroscience, Journal Year: 2024, Volume and Issue: 18

Published: Nov. 29, 2024

Background The majority of people infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) only show mild symptoms. However, some patients SARS-CoV-2 display neurological Data on the exact prevalence and course cognitive symptoms are often limited to patient reported outcomes or studies recruited at specialized centers. Methods For this prospective, non-interventional population based POPCOV2 study, 156 subjects who performed testing in Düsseldorf metropolitan area public test centers between December 2020 February 2022 were by handouts. SARS-CoV-2-positive negatively tested included within first seven days after PCR results. Cognitive was baseline during home quarantine 4–6 as well 12–14 weeks follow-up. Individuals examined remotely videocalls using Symbol Digit Modalities Test (SDMT) Montreal Assessment (MoCA) addition Brief Fatigue Inventory (BFI) Beck Depression Inventory-Fast Screen (BDI-FS). Results At baseline, group presented higher levels fatigue BFI. In both SARS-CoV-2-negative groups, attention memory deficits, defined a z-score < −1,65 SDMT 26 points MoCA (SDMT: 22.9% positive 8.8% negative group, p = 0.024; MoCA: 35.6% 27.3% 0.313). improved over time groups. scores, significant difference two groups seen z-scores did not differ any Conclusion These results support previous evidence that infections associated increased fatigue. we found relevant rates impairment but also control group. This underlines importance including such investigations.

Language: Английский

Citations

0

An Energy Efficient Artificial Intelligence Based Innovation Detection for Complex Data Communication Model DOI

K. S. Arvind,

Sindhu Madhuri G

Published: April 29, 2023

The Artificial Intelligence (AI) based innovation detection model for complex data communication is a revolutionary approach to identifying and exploiting opportunities in systems. This on the principle of AI-assisted mining, which allows automated patterns correlations sets. By applying AI-based algorithms, this can identify or relationships between elements large sets may not be obvious human analysts. designed help organizations areas they capitalize innovation. data-driven variables such as customer behavior, product performance, market trends. leveraging insights, create new products services that are tailored their customer's needs desires. used variety industries. For example, potential development healthcare sector. analyzing patient records, algorithms uncover different types Additionally, also retail sector developing more

Language: Английский

Citations

1

Enhanced Video Streaming Based Computing Encoder for Digital Visual Processing DOI
Tarun Kumar, Amita Shukla

Published: April 29, 2023

The rise of video streaming for digital visual processing has been a boon the industry processing. Video technology made it easier companies to capture, analyze, and interpret data faster than ever before. It allowed storage transmission large amounts at high speeds, providing businesses with ability process this in real-time. can be used wide variety applications, including facial recognition, 3D mapping, object recognition. By data, quickly accurately identify individuals, recognize objects, track movement. This also security such as surveillance monitoring, well medical imaging, MRI CT scans. create more efficient systems. automate image recognition classification. reduce amount time effort needed data. Additionally, virtual reality experiences, users an immersive experience when viewing images.

Language: Английский

Citations

1