The assembly process is one of the most time consuming and expensive manufacturing activities.
Determination of a correct and stable assembly sequence is necessary for automated assembly system. The objective of
the present work is to generate feasible, stable and optimal assembly sequence with minimum assembly time.
Automated assembly has the advantage of greater process capability and scalability. It is faster, more efficient and
precise than any conventional process. Ant Colony Optimization (ACO) method is used for generation of stable
assembly sequence. This method has been applied to a Planetary Gearbox.
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
The first ant colony optimization (ACO) called ant system was inspired through studying of the behaviour of ants in 1991 by Macro Dorigo and co-workers. An ant colony is highly organized, in which one interacting with others through pheromone in perfect harmony. Optimization problems can be solved through simulating ant’s behaviours. Since the first ant system algorithm was proposed, there is a lot of development in ACO. In ant colony system algorithm, local pheromone is used for ants to search optimum result. However, high magnitude of computing is its deficiency and sometimes it is inefficient. Thomas Stützle etal. Introduced MAX-MIN Ant System (MMAS) in 2000. It is one of the best algorithms of ACO. It limits total pheromone in every trip or sub-union to avoid local convergence. However, the limitation of pheromone slows down convergence rate in MMAS.
Classification with ant colony optimizationkamalikanath89
This document describes using an Ant Colony Optimization (ACO) algorithm for classification rule discovery in databases. ACO is inspired by how real ants find the shortest path between food sources and their nest. The ACO algorithm allows artificial ants to incrementally build classification rules by moving on a weighted graph representing the problem, biased by pheromone levels that are updated based on rule quality. This approach can discover more flexible and robust rules than traditional methods for applications like data mining and decision making.
Shannon Raum has over 15 years of experience in human resources and administration. She currently serves as the HR Operations Manager at Notre Dame of Maryland University, where her responsibilities include interviewing, onboarding, benefits administration, and maintaining HR compliance. Previously, she held administrative roles at the Board of Child Care and Helmsley Sandcastle Hotel. Raum holds a Master's degree in Leadership and Management from Notre Dame of Maryland University and is a Notary Public for the state of Maryland.
Action at a distance. AAAD is different from contact force. It acts on another object without contact. Three AAAD forces already found. They are gravitation, electricity and magnetism.
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
The first ant colony optimization (ACO) called ant system was inspired through studying of the behaviour of ants in 1991 by Macro Dorigo and co-workers. An ant colony is highly organized, in which one interacting with others through pheromone in perfect harmony. Optimization problems can be solved through simulating ant’s behaviours. Since the first ant system algorithm was proposed, there is a lot of development in ACO. In ant colony system algorithm, local pheromone is used for ants to search optimum result. However, high magnitude of computing is its deficiency and sometimes it is inefficient. Thomas Stützle etal. Introduced MAX-MIN Ant System (MMAS) in 2000. It is one of the best algorithms of ACO. It limits total pheromone in every trip or sub-union to avoid local convergence. However, the limitation of pheromone slows down convergence rate in MMAS.
Classification with ant colony optimizationkamalikanath89
This document describes using an Ant Colony Optimization (ACO) algorithm for classification rule discovery in databases. ACO is inspired by how real ants find the shortest path between food sources and their nest. The ACO algorithm allows artificial ants to incrementally build classification rules by moving on a weighted graph representing the problem, biased by pheromone levels that are updated based on rule quality. This approach can discover more flexible and robust rules than traditional methods for applications like data mining and decision making.
Shannon Raum has over 15 years of experience in human resources and administration. She currently serves as the HR Operations Manager at Notre Dame of Maryland University, where her responsibilities include interviewing, onboarding, benefits administration, and maintaining HR compliance. Previously, she held administrative roles at the Board of Child Care and Helmsley Sandcastle Hotel. Raum holds a Master's degree in Leadership and Management from Notre Dame of Maryland University and is a Notary Public for the state of Maryland.
Action at a distance. AAAD is different from contact force. It acts on another object without contact. Three AAAD forces already found. They are gravitation, electricity and magnetism.
The document provides survey results from political and financial elites following the 2014 midterm elections. It finds that majorities of elites across the ideological spectrum believe Republicans outperformed expectations in the elections. Over the next two years, elites expect partisan gridlock between President Obama and the Republican Congress, with little policy cooperation but increased use of executive orders. Elites also anticipate slow economic growth, continued lobbying influence in Washington, and further Republican gains in the 2016 elections.
This document provides information on various performance appraisal methods that can be used to evaluate a merchandising coordinator. It describes 6 common methods: 1) Management by Objectives, which involves setting goals and evaluating performance based on accomplishing those goals; 2) Critical Incident Method, where positive and negative behaviors are recorded throughout the review period; 3) Behaviorally Anchored Rating Scales, which focuses on behaviors as indicators of effective and ineffective performance; 4) Behavioral Observation Scales, which rates critical incidents performed over a period; 5) 360 Degree Feedback, where anonymous feedback is collected from managers, subordinates and peers; and 6) Checklist Method, which involves ticking traits the employee possesses from a predefined list.
This document discusses strategies for competing against free products from an Indian perspective. It presents several case studies of Indian companies that have successfully implemented business models like upselling premium features, cross-selling related products, charging third parties for access to users of free products, and bundling free or discounted offerings with paid products or services. Specific examples discussed include Gaana.com, Shaadi.com, Airtel Talk, FreeCharge, Ryan Air, SpiceJet, and Pizza Hut India.
El documento ofrece consejos de seguridad vial para niños desde edades tempranas, incluyendo cruzar la calle por las esquinas o zonas de paso, mirar a ambos lados antes de cruzar, respetar señales y semáforos, usar casco al andar en bicicleta, viajar sentado y con cinturón de seguridad en vehículos, y respetar las señales de tránsito. El objetivo es enseñarles sobre sus derechos y obligaciones como peatones o pasajeros para que puedan transitar
IC Resources - enhancing intellectual capital (DACH)Mary Buzzing
This document is from a recruitment firm called IC Resources that specializes in placing technical, commercial, and executive candidates in the semiconductor, software, electronics, and creative industries. They have over 50 consultants with experience in these industries. IC Resources has placed over 5,000 candidates in leading technology companies over the past 12 years and has supported over 300 family relocations in the last year. They provide expert industry knowledge and long-term client relationships to help matches candidates with opportunities.
Banke Titilope Aiyedun is a Nigerian professional seeking a career opportunity where she can contribute her skills and experience. She holds qualifications in microbiology, health and safety, and accounting. Her work experience includes roles in quality assurance, banking customer service, and insurance sales and business development. She aims to utilize her strong communication and relationship building skills to help organizations achieve their goals.
"Ant colony algorithm suffers drawbacks such as slow convergence and easy to trap into local optimum, therefore the path planning for mobile robot based on an improved ant colony optimization algorithm is proposed. The workspace for mobile robot is established with grid method. A hybrid ant colony which is composed of common ants and exploratory ants is utilized to avoid trapping into local optimum. To increase the convergence speed, the pheromone update mechanism is improved by enhancing the sensitivity of the ants to the optimal path with reserving the elite ants. The optimal collision free path can be planned rapidly in the workspace with multiple obstacles. Simulation and experiment results show that the algorithm is practical and effective. P. Hema Suganthi | Mrs. K. Subha ""Path Navigation in ACO Using Mobile Robot"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-3 , April 2019, URL: https://www.ijtsrd.com/papers/ijtsrd21642.pdf
Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/21642/path-navigation-in-aco-using-mobile-robot/p-hema-suganthi"
IJERA (International journal of Engineering Research and Applications) is International online, ... peer reviewed journal. For more detail or submit your article, please visit www.ijera.com
This document presents a path planning algorithm called Ant Colony Robot Path Planning (ARPP) that is based on Ant Colony Optimization (ACO) techniques. The ARPP algorithm uses artificial ants to find optimal paths for a warehouse material handling robot to navigate between locations, avoiding obstacles. The algorithm models the environment as a visibility graph and applies ACO concepts like pheromone deposition and evaporation to guide the ants toward shorter paths. Simulation results on a sample visibility graph show that after 100 iterations, the ARPP approach consistently finds the shortest path of 33 units in length. The algorithm provides an effective method for mobile robot path planning in complex warehouse environments.
Classification with ant colony optimizationkamalikanath89
The document describes the Ant-Miner algorithm for classification using ant colony optimization. It begins with an introduction to ant colony optimization and how it was inspired by the foraging behavior of real ants. It then provides details on the key steps of the Ant-Miner algorithm, including rule construction, pruning, and pheromone updating. The algorithm uses a heuristic function based on information theory and positive feedback to iteratively construct and refine classification rules from training data.
The document summarizes three algorithms for multi-robot path planning: Bacteria Foraging Optimization (BFO), Ant Colony Optimization (ACO), and Particle Swarm Optimization (PSO). BFO is inspired by how bacteria like E. coli search for food by swimming and tumbling. ACO is based on how ants deposit and follow pheromone trails to find food sources. PSO mimics the movement of bird flocking and fish schooling. The document provides details on the mechanisms and equations used in each algorithm's approach to finding optimal paths for multiple robots.
Welding Path Planning of welding Robot Based on Improved Ant Colony AlgorithmIJRESJOURNAL
ABSTRACT: The basic ant colony algorithm in the welding robot path planning, in the search process, prone to search for too long, low efficiency, easy to fall into the local optimal and other issues. In this paper, the basic ant colony algorithm is improved, and the Adadelta algorithm is introduced. By combining the basic ant colony algorithm and Adadelta algorithm, the probability of selecting the next solder joint in the ant search process is increased and the randomness is increased. The algorithm updated the parameters to improve the ant pheromone update, and improved the pheromone volatilization coefficient, using the adaptive way to update the pheromone. The results show that the improved ant colony algorithm is more efficient than the basic ant colony algorithm, the algorithm is more efficient and the convergence rate is faster, and the algorithm is better than the basic ant colony algorithm. The shortest path is the shortest. The results show that the improved ant colony algorithm improves the efficiency of the algorithm, and improves the problem of the basic ant colony algorithm in the welding path planning of the welding robot. The convergence speed is faster and the search result is better.
Comparison of different Ant based techniques for identification of shortest p...IOSR Journals
This document compares different ant colony optimization (ACO) techniques for identifying the shortest path in a distributed network. ACO is based on the behavior of ants finding food sources and uses pheromone trails to probabilistically determine paths. The document reviews several ACO algorithms and techniques, including Max-Min, rank-based, and fuzzy rule-based approaches. It then implements an efficient ACO algorithm that performs better at finding the shortest path compared to other existing ACO techniques.
A hybrid optimization algorithm based on genetic algorithm and ant colony opt...ijaia
In optimization problem, Genetic Algorithm (GA) and Ant Colony Optimization Algorithm (ACO) have
been known as good alternative techniques. GA is designed by adopting the natural evolution process,
while ACO is inspired by the foraging behaviour of ant species. This paper presents a hybrid GA-ACO for
Travelling Salesman Problem (TSP), called Genetic Ant Colony Optimization (GACO). In this method, GA
will observe and preserve the fittest ant in each cycle in every generation and only unvisited cities will be
assessed by ACO. From experimental result, GACO performance is significantly improved and its time
complexity is fairly equal compared to the GA and ACO.
A Multi-Objective Ant Colony System Algorithm for Virtual Machine PlacementIJERA Editor
This document proposes a multi-objective ant colony system algorithm for virtual machine placement to minimize total resource wastage and power consumption. It introduces the virtual machine placement problem and reviews existing literature on ant colony optimization algorithms. The proposed algorithm is described in detail, including initialization, iterative construction of solutions by ants, evaluation and updating of pheromone trails. The algorithm is tested on examples from literature and shown to perform better than existing approaches in efficiently finding non-dominated solutions for the multi-objective virtual machine placement problem.
Comparative Study of Ant Colony Optimization And Gang SchedulingIJTET Journal
Abstract— Ant Colony Optimization (ACO) is a well known and rapidly evolving meta-heuristic technique. All optimization problems have already taken advantage of the ACO technique while countless others are on their way. Ant Colony Optimization (ACO) has been used as an effective algorithm in solving the scheduling problem in grid computing. Whereas gang scheduling is a scheduling algorithm that is used to schedule the parallel systems and schedules related threads or processes to run simultaneously on different processors. The threads that are scheduled are belonging to the same process, but they from different processes in some cases, for example when the processes have a producer-consumer relationship, when all processes come from the same MPI program.
Path Planning of Mobile aco fuzzy-presentation.pptxssuserf6b378
The document describes a study on path planning for mobile robots using fuzzy logic and ant colony algorithms in complex dynamic environments. It proposes a new approach that combines these methods. The study models the robot's workspace as a grid with fixed and moving obstacles. It explains how the ant colony algorithm and fuzzy logic are applied to determine optimal paths between start and end points while avoiding obstacles. Simulation results show the combined approach finds shorter paths in less time compared to using each method individually.
Ant colony optimization based routing algorithm in various wireless sensor ne...Editor Jacotech
Wireless Sensor Network has several issues and challenges due to limited battery backup, limited computation capability, and limited computation capability. These issues and challenges must be taken care while designing the algorithms to increase the Network lifetime of WSN. Routing, the act of moving information across an internet world from a source to a destination is one of the vital issue associated with Wireless Sensor Network. The Ant Colony Optimization (ACO) algorithm is a probabilistic technique for solving computational problems that can be used to find optimal paths through graphs. The short route will be increasingly enhanced therefore become more attractive. The foraging behavior and optimal route finding capability of ants can be the inspiration for ACO based algorithm in WSN. The nature of ants is to wander randomly in search of food from their nest. While moving, ants lay down a pheromone trail on the ground. This chemical pheromone has the ability to evaporate with the time. Ants have the ability to smell pheromone. When selecting their path, they tend to select, probably the paths that has strong pheromone concentrations. As soon as an ant finds a food source, carries some of it back to the nest. While returning, the quantity of chemical pheromone that an ant lay down on the ground may depend on the quantity and quality of the food. The pheromone trails will lead other ants towards the food source. The path which has the strongest pheromone concentration is followed by the ant which is the shortest paths between their nest and food source. This paper surveys the ACO based routing in various Networking domains like Wireless Sensor Networks and Mobile Ad Hoc Networks.
Implementation of Optimized Ant Based Routing Algorithm for ManetIRJET Journal
This document presents an implementation and evaluation of the Ant-Based Routing Algorithm (ARA) for mobile ad hoc networks (MANETs).
It first provides background on swarm intelligence and ant colony optimization techniques. It then surveys various existing ant-based routing protocols. The ARA protocol uses forward and backward ants to discover and maintain multiple paths between nodes.
The document describes simulating ARA in NS2 for different network sizes and times. It evaluates ARA's performance based on throughput, packet delivery ratio, routing overhead, and energy consumption. The results show that ARA achieves high throughput and packet delivery ratio for all network conditions. It also significantly reduces routing overhead compared to other protocols. ARA also performs well in terms of
The Effect of Updating the Local Pheromone on ACS Performance using Fuzzy Log...IJECEIAES
Fuzzy Logic Controller (FLC) has become one of the most frequently utilised algorithms to adapt the metaheuristics parameters as an artificial intelligence technique. In this paper, the 휉 parameter of Ant Colony System (ACS) algorithm is adapted by the use of FLC, and its behaviour is studied during this adaptation. The proposed approach is compared with the standard ACS algorithm. Computational results are done based on a library of sample instances for the Traveling Salesman Problem (TSPLIB).
The document provides survey results from political and financial elites following the 2014 midterm elections. It finds that majorities of elites across the ideological spectrum believe Republicans outperformed expectations in the elections. Over the next two years, elites expect partisan gridlock between President Obama and the Republican Congress, with little policy cooperation but increased use of executive orders. Elites also anticipate slow economic growth, continued lobbying influence in Washington, and further Republican gains in the 2016 elections.
This document provides information on various performance appraisal methods that can be used to evaluate a merchandising coordinator. It describes 6 common methods: 1) Management by Objectives, which involves setting goals and evaluating performance based on accomplishing those goals; 2) Critical Incident Method, where positive and negative behaviors are recorded throughout the review period; 3) Behaviorally Anchored Rating Scales, which focuses on behaviors as indicators of effective and ineffective performance; 4) Behavioral Observation Scales, which rates critical incidents performed over a period; 5) 360 Degree Feedback, where anonymous feedback is collected from managers, subordinates and peers; and 6) Checklist Method, which involves ticking traits the employee possesses from a predefined list.
This document discusses strategies for competing against free products from an Indian perspective. It presents several case studies of Indian companies that have successfully implemented business models like upselling premium features, cross-selling related products, charging third parties for access to users of free products, and bundling free or discounted offerings with paid products or services. Specific examples discussed include Gaana.com, Shaadi.com, Airtel Talk, FreeCharge, Ryan Air, SpiceJet, and Pizza Hut India.
El documento ofrece consejos de seguridad vial para niños desde edades tempranas, incluyendo cruzar la calle por las esquinas o zonas de paso, mirar a ambos lados antes de cruzar, respetar señales y semáforos, usar casco al andar en bicicleta, viajar sentado y con cinturón de seguridad en vehículos, y respetar las señales de tránsito. El objetivo es enseñarles sobre sus derechos y obligaciones como peatones o pasajeros para que puedan transitar
IC Resources - enhancing intellectual capital (DACH)Mary Buzzing
This document is from a recruitment firm called IC Resources that specializes in placing technical, commercial, and executive candidates in the semiconductor, software, electronics, and creative industries. They have over 50 consultants with experience in these industries. IC Resources has placed over 5,000 candidates in leading technology companies over the past 12 years and has supported over 300 family relocations in the last year. They provide expert industry knowledge and long-term client relationships to help matches candidates with opportunities.
Banke Titilope Aiyedun is a Nigerian professional seeking a career opportunity where she can contribute her skills and experience. She holds qualifications in microbiology, health and safety, and accounting. Her work experience includes roles in quality assurance, banking customer service, and insurance sales and business development. She aims to utilize her strong communication and relationship building skills to help organizations achieve their goals.
"Ant colony algorithm suffers drawbacks such as slow convergence and easy to trap into local optimum, therefore the path planning for mobile robot based on an improved ant colony optimization algorithm is proposed. The workspace for mobile robot is established with grid method. A hybrid ant colony which is composed of common ants and exploratory ants is utilized to avoid trapping into local optimum. To increase the convergence speed, the pheromone update mechanism is improved by enhancing the sensitivity of the ants to the optimal path with reserving the elite ants. The optimal collision free path can be planned rapidly in the workspace with multiple obstacles. Simulation and experiment results show that the algorithm is practical and effective. P. Hema Suganthi | Mrs. K. Subha ""Path Navigation in ACO Using Mobile Robot"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-3 , April 2019, URL: https://www.ijtsrd.com/papers/ijtsrd21642.pdf
Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/21642/path-navigation-in-aco-using-mobile-robot/p-hema-suganthi"
IJERA (International journal of Engineering Research and Applications) is International online, ... peer reviewed journal. For more detail or submit your article, please visit www.ijera.com
This document presents a path planning algorithm called Ant Colony Robot Path Planning (ARPP) that is based on Ant Colony Optimization (ACO) techniques. The ARPP algorithm uses artificial ants to find optimal paths for a warehouse material handling robot to navigate between locations, avoiding obstacles. The algorithm models the environment as a visibility graph and applies ACO concepts like pheromone deposition and evaporation to guide the ants toward shorter paths. Simulation results on a sample visibility graph show that after 100 iterations, the ARPP approach consistently finds the shortest path of 33 units in length. The algorithm provides an effective method for mobile robot path planning in complex warehouse environments.
Classification with ant colony optimizationkamalikanath89
The document describes the Ant-Miner algorithm for classification using ant colony optimization. It begins with an introduction to ant colony optimization and how it was inspired by the foraging behavior of real ants. It then provides details on the key steps of the Ant-Miner algorithm, including rule construction, pruning, and pheromone updating. The algorithm uses a heuristic function based on information theory and positive feedback to iteratively construct and refine classification rules from training data.
The document summarizes three algorithms for multi-robot path planning: Bacteria Foraging Optimization (BFO), Ant Colony Optimization (ACO), and Particle Swarm Optimization (PSO). BFO is inspired by how bacteria like E. coli search for food by swimming and tumbling. ACO is based on how ants deposit and follow pheromone trails to find food sources. PSO mimics the movement of bird flocking and fish schooling. The document provides details on the mechanisms and equations used in each algorithm's approach to finding optimal paths for multiple robots.
Welding Path Planning of welding Robot Based on Improved Ant Colony AlgorithmIJRESJOURNAL
ABSTRACT: The basic ant colony algorithm in the welding robot path planning, in the search process, prone to search for too long, low efficiency, easy to fall into the local optimal and other issues. In this paper, the basic ant colony algorithm is improved, and the Adadelta algorithm is introduced. By combining the basic ant colony algorithm and Adadelta algorithm, the probability of selecting the next solder joint in the ant search process is increased and the randomness is increased. The algorithm updated the parameters to improve the ant pheromone update, and improved the pheromone volatilization coefficient, using the adaptive way to update the pheromone. The results show that the improved ant colony algorithm is more efficient than the basic ant colony algorithm, the algorithm is more efficient and the convergence rate is faster, and the algorithm is better than the basic ant colony algorithm. The shortest path is the shortest. The results show that the improved ant colony algorithm improves the efficiency of the algorithm, and improves the problem of the basic ant colony algorithm in the welding path planning of the welding robot. The convergence speed is faster and the search result is better.
Comparison of different Ant based techniques for identification of shortest p...IOSR Journals
This document compares different ant colony optimization (ACO) techniques for identifying the shortest path in a distributed network. ACO is based on the behavior of ants finding food sources and uses pheromone trails to probabilistically determine paths. The document reviews several ACO algorithms and techniques, including Max-Min, rank-based, and fuzzy rule-based approaches. It then implements an efficient ACO algorithm that performs better at finding the shortest path compared to other existing ACO techniques.
A hybrid optimization algorithm based on genetic algorithm and ant colony opt...ijaia
In optimization problem, Genetic Algorithm (GA) and Ant Colony Optimization Algorithm (ACO) have
been known as good alternative techniques. GA is designed by adopting the natural evolution process,
while ACO is inspired by the foraging behaviour of ant species. This paper presents a hybrid GA-ACO for
Travelling Salesman Problem (TSP), called Genetic Ant Colony Optimization (GACO). In this method, GA
will observe and preserve the fittest ant in each cycle in every generation and only unvisited cities will be
assessed by ACO. From experimental result, GACO performance is significantly improved and its time
complexity is fairly equal compared to the GA and ACO.
A Multi-Objective Ant Colony System Algorithm for Virtual Machine PlacementIJERA Editor
This document proposes a multi-objective ant colony system algorithm for virtual machine placement to minimize total resource wastage and power consumption. It introduces the virtual machine placement problem and reviews existing literature on ant colony optimization algorithms. The proposed algorithm is described in detail, including initialization, iterative construction of solutions by ants, evaluation and updating of pheromone trails. The algorithm is tested on examples from literature and shown to perform better than existing approaches in efficiently finding non-dominated solutions for the multi-objective virtual machine placement problem.
Comparative Study of Ant Colony Optimization And Gang SchedulingIJTET Journal
Abstract— Ant Colony Optimization (ACO) is a well known and rapidly evolving meta-heuristic technique. All optimization problems have already taken advantage of the ACO technique while countless others are on their way. Ant Colony Optimization (ACO) has been used as an effective algorithm in solving the scheduling problem in grid computing. Whereas gang scheduling is a scheduling algorithm that is used to schedule the parallel systems and schedules related threads or processes to run simultaneously on different processors. The threads that are scheduled are belonging to the same process, but they from different processes in some cases, for example when the processes have a producer-consumer relationship, when all processes come from the same MPI program.
Path Planning of Mobile aco fuzzy-presentation.pptxssuserf6b378
The document describes a study on path planning for mobile robots using fuzzy logic and ant colony algorithms in complex dynamic environments. It proposes a new approach that combines these methods. The study models the robot's workspace as a grid with fixed and moving obstacles. It explains how the ant colony algorithm and fuzzy logic are applied to determine optimal paths between start and end points while avoiding obstacles. Simulation results show the combined approach finds shorter paths in less time compared to using each method individually.
Ant colony optimization based routing algorithm in various wireless sensor ne...Editor Jacotech
Wireless Sensor Network has several issues and challenges due to limited battery backup, limited computation capability, and limited computation capability. These issues and challenges must be taken care while designing the algorithms to increase the Network lifetime of WSN. Routing, the act of moving information across an internet world from a source to a destination is one of the vital issue associated with Wireless Sensor Network. The Ant Colony Optimization (ACO) algorithm is a probabilistic technique for solving computational problems that can be used to find optimal paths through graphs. The short route will be increasingly enhanced therefore become more attractive. The foraging behavior and optimal route finding capability of ants can be the inspiration for ACO based algorithm in WSN. The nature of ants is to wander randomly in search of food from their nest. While moving, ants lay down a pheromone trail on the ground. This chemical pheromone has the ability to evaporate with the time. Ants have the ability to smell pheromone. When selecting their path, they tend to select, probably the paths that has strong pheromone concentrations. As soon as an ant finds a food source, carries some of it back to the nest. While returning, the quantity of chemical pheromone that an ant lay down on the ground may depend on the quantity and quality of the food. The pheromone trails will lead other ants towards the food source. The path which has the strongest pheromone concentration is followed by the ant which is the shortest paths between their nest and food source. This paper surveys the ACO based routing in various Networking domains like Wireless Sensor Networks and Mobile Ad Hoc Networks.
Implementation of Optimized Ant Based Routing Algorithm for ManetIRJET Journal
This document presents an implementation and evaluation of the Ant-Based Routing Algorithm (ARA) for mobile ad hoc networks (MANETs).
It first provides background on swarm intelligence and ant colony optimization techniques. It then surveys various existing ant-based routing protocols. The ARA protocol uses forward and backward ants to discover and maintain multiple paths between nodes.
The document describes simulating ARA in NS2 for different network sizes and times. It evaluates ARA's performance based on throughput, packet delivery ratio, routing overhead, and energy consumption. The results show that ARA achieves high throughput and packet delivery ratio for all network conditions. It also significantly reduces routing overhead compared to other protocols. ARA also performs well in terms of
The Effect of Updating the Local Pheromone on ACS Performance using Fuzzy Log...IJECEIAES
Fuzzy Logic Controller (FLC) has become one of the most frequently utilised algorithms to adapt the metaheuristics parameters as an artificial intelligence technique. In this paper, the 휉 parameter of Ant Colony System (ACS) algorithm is adapted by the use of FLC, and its behaviour is studied during this adaptation. The proposed approach is compared with the standard ACS algorithm. Computational results are done based on a library of sample instances for the Traveling Salesman Problem (TSPLIB).
Ant colony optimization is a metaheuristic algorithm that is inspired by the behavior of real ant colonies. Real ants deposit pheromone on paths between their nest and food sources, and other ants are more likely to follow paths with higher pheromone densities, allowing the colony to find the shortest path over time without centralized control. The algorithm models this behavior to solve optimization problems, with artificial ants probabilistically building solutions and adjusting pheromone levels to bias toward better solutions. The presentation discusses how ant colony optimization works and its components, including probabilistic solution construction, pheromone updating, and evaporation. It then provides an example application of using ant colony optimization for adaptive routing in communication networks.
A new move towards updating pheromone trail in order to gain increased predic...ijsrd.com
Ant miner algorithm is used to find the classification rule which helps to do classification of the data. Ant miner uses the Ant Colony Optimization (ACO) which deals with artificial systems that is inspired from the foraging behavior of real ants. Here the task is to improve the pheromone update method in the current system. Pheromone updating is dependent mainly on the initial pheromone of the term, and term Q (quality of term) which is added to current accumulated pheromone. In this methods a try is made to lay pheromone on trail such that selection of terms is not biased and unified behavior for the system as a whole, produce a robust system capable of finding high-quality solutions for problems. Here in this approach amount of pheromone added with the used term is not directly dependent on accumulated pheromone but also on the Q (quality of rule). So here in Q is modified and multiplied in ways that help to get better solution. For this use of rule length is done and manipulated in ways that support approach to achieve goal. Thus, aim is to improve the accuracy and sustaining rule list simplicity using Ant Colony Optimization in data mining.
A novel improved elephant herding optimization for path planning of a mobile ...IJECEIAES
Swarm intelligence algorithms have been in recent years one of the most used tools for planning the trajectory of a mobile robot. Researchers are applying those algorithms to find the optimal path, which reduces the time required to perform a task by the mobile robot. In this paper, we propose a new method based on the grey wolf optimizer algorithm (GWO) and the improved elephant herding optimization algorithm (IEHO) for planning the optimal trajectory of a mobile robot. The proposed solution consists of developing an IEHO algorithm by improving the basic EHO algorithm and then hybridizing it with the GWO algorithm to take advantage of the exploration and exploitation capabilities of both algorithms. The comparison of the IEHO-GWO hybrid proposed in this work with the GWO, EHO, and cuckoo-search (CS) algorithms via simulation shows its effectiveness in finding an optimal trajectory by avoiding obstacles around the mobile robot.
Route optimization in manets with aco and ga eSAT Journals
This document summarizes a research paper that proposes a hybrid optimization algorithm called GA-API for route optimization in mobile ad hoc networks (MANETs). The GA-API algorithm combines ant colony optimization (ACO), specifically the artificial prey inspired (API) algorithm, with a genetic algorithm (GA). API is used first to find multiple feasible paths between source and destination nodes in the MANET. These paths are then input to the GA, which forms a population of routing solutions. The GA explores this solution space using genetic operators like crossover and mutation to find new paths. Promising solutions from the GA are then fed back to API to avoid it getting stuck in local optima. The goal of the hybrid GA-API algorithm is
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
A Survey of Solving Travelling Salesman Problem using Ant Colony OptimizationIRJET Journal
This document summarizes research on solving the travelling salesman problem (TSP) using ant colony optimization (ACO). It first provides background on TSP and describes how ACO mimics real ants finding food to solve optimization problems. The document then reviews several papers that have applied ACO to TSP and compared it to other algorithms. It finds that ACO generally performs better than genetic algorithms at finding optimal solutions to TSP as the number of cities increases. Finally, it proposes studying the effects of different ACO parameters on finding optimal TSP solutions.
DEVELOPMENT OF TODDLER FAMILY CADRE TRAINING BASED ON ANDROID APPLICATIONS IN...AM Publications
Toddler family cadre is a community members work voluntarily in fostering and providing information to parents of toddlers about how to properly care for children. Toddler Family cadre desperately need training to increase their skills. There are still a few Toddler family cadres who get training so that the knowledge and skills of parents and other family members in developing toddlers' growth through physical stimulation, motoric intelligence, emotional and social economy as well as possible are still lacking. The purpose of this study is to develop an Android- assisted Toddler family cadre training model in Demak. This research is research in tian research and development. The research location was in Demak Regency. Toddler family cadres became the object of this research. Development of Toddler family cadre training models assisted by Android in Demak is feasible to be used as an effort to improve Toddler Family cadres' capabilities.
TESTING OF COMPOSITE ON DROP-WEIGHT IMPACT TESTING AND DAMAGE IDENTIFICATION ...AM Publications
In recent years the use of composite materials in structural components has become increasingly common in a wide range of engineering applications. Composite materials offer numerous advantages over more conventional materials because of their superior specific properties, but a serious obstacle to a more widespread use of these materials is their high sensitivity to localized impact loading. This paper presents an experimental study to assess the impact response of drop weight impact tests on fiber reinforced polymer composites with deferent load and damage identification of composite using Non-destructive testing techniques ultrasonic testing (UT) C scan. In the study includes checking the strength of the specimen, plotting of graphs between the height and the impact energy obtained and tabulating the results after conducting the various functional tests.
THE USE OF FRACTAL GEOMETRY IN TILING MOTIF DESIGNAM Publications
In this paper I will present the use of fractal geometry to design tile motifs. A fractal is a geometric figure that combines the several characteristics among others: its parts have the same form as the whole, fragmented, and formation by iteration. The concept of fractals has been spread over all fields of sciences, technology, and art. This paper aims to provide an algorithm to creating motifs of tile algorithm for create the tile motif consists of base, iteration, coloration and duplication. In order to help the reader better understand the algorithm, I will present some script using Matlab. We describe a mathematically based algorithm that can fill a spatial region with sequence of randomly placed which may be transformed copies of one motif or several motifs. By using this algorithm, I can produce thousand variety of aesthetically pleasing tile motifs, of which we show a number of examples.
TWO-DIMENSIONAL INVERSION FINITE ELEMENT MODELING OF MAGNETOTELLURIC DATA: CA...AM Publications
Two-dimensional resistivity analysis of magnetotelluric data has been done at “Z” geothermal area which is located in southern part of Indonesia. The objective is to understand subsurface structure beneath reasearch area based on 2-D modeling of magnetotelluric data. The inversion finite element method were used for numerical simulations which requires discretization on the boundary of the modeling domain. The modeling results of magnetotelluric data shows relativity structure dissemination: 0-10 ohm.m in a thickness of 1 km (Clay Cap), 10-100 ohm.m with 1-2 km depth respectively (reservoir zone), and on a scale of 100-1000 ohm.m in a depth of 2-3 km (heat source zone). The result of relativity structure can be used to delineate an area with geothermal prospect around 12 km2.
USING THE GENETIC ALGORITHM TO OPTIMIZE LASER WELDING PARAMETERS FOR MARTENSI...AM Publications
This document presents an optimization of laser welding parameters for martensitic stainless steel using a genetic algorithm. The algorithm aims to minimize the difference between the actual and desired weld size (width and depth) by optimizing laser power, welding speed, and fiber diameter. The genetic algorithm was run 10 times with a population of 30 over 200 iterations each time. The results showed errors between optimized and experimental values of less than 5% for the parameters. The study demonstrates that genetic algorithms can effectively optimize laser welding parameters to achieve a preset weld size.
ANALYSIS AND DESIGN E-MARKETPLACE FOR MICRO, SMALL AND MEDIUM ENTERPRISESAM Publications
The Ministry of Cooperatives and Small and Medium Enterprises launched in 2018 the number of Micro, Small and Medium Enterprises (MSMEs) in Indonesia as many as 58.97 million people. It is predicted that the number of MSMEs players in 2019 will amount to 59.2 million. This shows that the Indonesian people have made changes in the field of family economics which initially as consumptive are now productive. The community prefers to carry out activities that can increase family income. Future MSMEs remain the mainstay of the national economy. In accordance with the government roadmap, in 2020 e-commerce transactions are predicted to reach Rp1,300 trillion or equivalent to USD130 billion. According to data from the Central Statistics Agency (BPS), the contribution of MSMEs to Indonesia's Gross Domestic Product (GDP) reached 61.41%, with the number of MSMEs reaching almost 60 million units. However, only around 8% or 3.79 million of the 59.2 million MSMEs players have used online platforms to market their products. Based on the above problems, researchers conducted research on the analysis and display of E-Marketplace for MSMEs in Indonesia. The type of research used is action research. The object of research is MSMEs which are under the Office of Industry and Trade of Sragen Regency. The method of data collection is by techniques: (1) interview, (2) documentation (3) observation, (4) literature study. The researcher uses the waterfall method in developing the system. The research team has successfully analyzed the E-Market place according to the results of data collection. The research team has succeeded in designing the E-Marketplace for MSMEs. E-Marketplace designed can be used by admin, MSME and user. Admin is in charge of managing E-Marketplace and has full access rights. MSMEs can register online and manage their products in E-Marketplace. Users or buyers can search data in E-Marketplace as desired. To make transactions, users can interact directly with MSMEs according to the data provided in E-Marketplace. E-Marketplace can be used for marketing together MSMEs products. This e-marketplace can be accessed at www.umkmonline.com
REMOTE SENSING AND GEOGRAPHIC INFORMATION SYSTEMS AM Publications
Remote sensing technology's increasing accessibility helps us observe research and learn about our globe in ways we could only imagine a generation ago. Guides to profound knowledge of historical, conceptual and practical uses of remote sensing which is increasing GIS technology. This paper will go briefly through remote sensing benefits, history, technology and the GIS and remote sensing integration and their applications. Remote sensing (RS) is used in mapping the predicted and actual species and dominates the ecosystem canopy.
EVALUATE THE STRAIN ENERGY ERROR FOR THE LASER WELD BY THE H-REFINEMENT OF TH...AM Publications
Currently, the finite element method (FEM) is still one of the useful tools in numerical simulation for technical problems. With this method, a continuum model presented by a certain number of elements with a simple approximation field causes the presence of discretization error in solutions. This paper considers the butt weld by laser which subjected the tension for AISI 1018 steel highness 8 mm. The aim of the study is to use the h-refinement of the FEM in estimation the strain energy error for the laser weld mentioned. The results show that the stability of the h-refinement shown by the value of the relative error of the strain energy is quite small, specifically; FEM is less than 5.7% and extra is no more than 3.7%.
HMM APPLICATION IN ISOLATED WORD SPEECH RECOGNITIONAM Publications
Speech recognition is always being an all-time trendy topic for discussion and also for researches and we see a major application in our life. This paper provides the work done on the application of Hidden Markov model to implement isolated word speech recognition on MATLAB and to develop and train the system for set of self-selective words for specific user (user dependent) to get maximum efficiency in word recognition system. Which uses the forward and Baum-welch algorithm and fitting Gaussian of the Baum-welch algorithm for all the iteration perform. We use a sample of 7 alphabets which are recorded in 15 different ways giving total of 105 word to use for training with each word with 15 variations. This system can be used in real world in system security using voice security system and mainly for children and impaired people.
PEDESTRIAN DETECTION IN LOW RESOLUTION VIDEOS USING A MULTI-FRAME HOG-BASED D...AM Publications
Detecting pedestrians in low resolution videos is a challenging task, due to the small size of pedestrians in the images and the limited information. In practical outdoor surveillance scenarios the pedestrian size is usually small. Existing state-of-the-art pedestrian detection methods that use histogram of oriented gradient (HOG) features have poor performance in this problem domain. To compensate for the lack of information in a single frame, we propose a novel detection method that recognizes pedestrians in a short sequence of frames. Namely, we take the single-frame HOG-based detector and extend it to multiple frames. Our detector is applied to regions containing potential moving objects. In the case of video taken from a moving camera on an aerial platform, video stabilization is first performed to register the frames. A classifier is then applied to features extracted from spatio-temporal volumes surrounding the potential moving objects. On challenging stationary and aerial video datasets, our detection accuracy outperforms several state-of-the-art algorithms.
The aim of this paper is to help the blind people to identify and catch the public transport vehicles with the help of Light Fidelity technology. It is a Navigation aid. When the bus arrives at the bus stand, transmitter in the bus transmits the light signals and receiver in the stick, receives the light signals and a sound signal is generated through the speaker present in the stick. The sound message contains the bus number and the destination of the bus. In addition to this, if the person is absconded or lost, details of the location will be sent to his/her family members by pressing a button. This is made possible with the help of Global System for Mobile (GSM). Finally, presence of water can be detected along the blind person’s path, with the help of water sensors.
EFFECT OF SILICON - RUBBER (SR) SHEETS AS AN ALTERNATIVE FILTER ON HIGH AND L...AM Publications
A digital radiography delivers a radiation dose to patients; therefore it poses potential risk to the patients. One effort to reduce dose is carried out using a radiation filter, e.g. Silicone Rubber (SR) sheet. The purpose of this research was to determine the impact of the SR sheet on the high contrast objects (HCO) and the low contrast objects (LCO). The dose reduction was determined from attenuation x-rays before and after using the SR sheet. Assessment of HCO and LCO was observed from CDR TOR phantom at tube voltage of 48 kVp and tube current of 8 mAs. The physical parameter to assess image quality was the Signal to Noise Ratio (SNR) value in LCO. The maximum x-ray attenuation using the SR sheet is 48.82%. The visibility of the HCO remains the same, namely 16 objects; however the LCO slighly decreases from 14 objects to 13 objects after using the SR sheet. The SNR value decreases with an average value of 15.17%.Therefore, the SR sheet as a alternative filter has no effect on the HCO and has realtively little effect on the LCO. Thus, the SR sheet potentially is used for radiation protection in patients, especially on examinations that do not require low contrast resolution.
UTILIZATION OF IMMUNIZATION SERVICES AMONG CHILDREN UNDER FIVE YEARS OF AGE I...AM Publications
Immunization is the key strategy to curb communicable diseases which are the number one killer of children under five. Immunization prevents mortalities of approximating three million children under five annually. This study aimed to assess utilization of immunization services among children under five of age in Kirinyaga County, Kenya.
REPRESENTATION OF THE BLOCK DATA ENCRYPTION ALGORITHM IN AN ANALYTICAL FORM F...AM Publications
The article presents the study of cryptographic transformations of the Kuznyechik algorithm in relation to differential analysis and the translation of their representations into a more convenient form for cryptanalysis. A simplification of the type of transformations of the algorithm to algebraic the form, in which cryptanalysis software will be more effective. Since the description of the algorithm in the analytical form allows for 16 cycles of execution of the shift register with linear feedback, each of which will be carried out 16 operations of multiplication and 15 operations of addition, reduced to 16 multiplying and 15 the operations of addition. The result is an algebraic form of a linear transformation (from a shift register with linear feedback to the multiplication of the matrix in a finite field). In the future, the algebraic type of transformation can be used to effectively carry out differential cryptanalysis.
Optical character recognition (OCR) is process of classification of optical patterns contained in a digital image. The process of OCR Recognition involves several steps including pre-processing, segmentation, feature extraction, classification. Pre-processing is for done the basic operation on input image like noise reduction which remove the noisy signal from image. Segmentation stage for segment the given image into line by line and segment each character from segmented line. Future extraction calculates the characteristics of character. A Radial Basis Function Neural Network (RBFNN) is used to classification contains the database and does the comparison.
Surveillance refers to the task of observing a scene, often for lengthy periods in search of particular objects or particular behaviour. This task has many applications, foremost among them is security (monitoring for undesirable behaviour such as theft or vandalism), but increasing numbers of others in areas such as agriculture also exist. Historically, closed circuit TV (CCTV) surveillance has been mundane and labour Intensive, involving personnel scanning multiple screens, but the advent of reasonably priced fast hardware means that automatic surveillance is becoming a realistic task to attempt in real time. Several attempts at this are underway.
SIMULATION OF ATMOSPHERIC POLLUTANTS DISPERSION IN AN URBAN ENVIRONMENTAM Publications
Interest in air pollution investigation of urban environment due to existence of industrial and commercial activities along with vehicular emission and existence of buildings and streets which setup natural barrier for pollutant dispersion in the urban environment has increased. The air pollution modelling is a multidisciplinary subject when the entire cities are taken under consideration where urban planning and geometries are complex which needs a large software packages to be developed like Operational Street Pollution Model (OSPM), California Line Source model (CALINE series) etc. On overviewing various works it can be summarized that the air pollutant dispersion in urban street canyons and all linked phenomenon such as wind flow, pollutant concentrations, temperature distribution etc. generally depend on wind speed and direction, building heights and density, road width, source and intensity of air pollution, meteorological variables like temperature, humidity etc. A unique and surprising case is observed every time on numerous combinations of these factors. The main aim of this study is to simulate the atmospheric pollutant dispersion for given pollutant like carbon monoxide, sulphur dioxide and nitrogen dioxide and given atmospheric conditions like wind speed and direction. Computational Fluid Dynamics (CFD) simulation for analysing the atmospheric pollutant dispersion is done after natural airflow analysis. Volume rendering is done for variables such as phase 2 volume fraction and velocity with resolution as 250 pixels per inch and transparency as 20%. It can be observed that all the three pollutant namely nitrogen dioxide, sulphur dioxide and carbon monoxide the phase 2 volume fraction changes from 0 to 1. The wind velocity changes from 3.395×10-13 m/s to 1.692×102 m/s. The dispersion of pollutants follow the sequence Sulphur dioxide>Carbon monoxide>Nitrogen dioxide.
PREPARATION AND EVALUATION OF WOOL KERATIN BASED CHITOSAN NANOFIBERS FOR AIR ...AM Publications
In this article, we have extracted keratin from deccani wool waste and prepared the wool keratin based Chitosan nanofibers by electrospinning technique. The prepared nanofibers mat were prepared with different weight percent ratio like 1wt.%, 3wt.% and 5wt.% with respect to polymer i.e Chitosan. The physicochemical and filtration properties of wool keratin based Chitosan nanofibers were studied. Wool keratin based Chitosan nanofibers were characterized by Fourier transform infrared spectroscopy (FTIR), X-ray diffraction (XRD), differential scanning calorimetry (DSC) and scanning electron microscopy (FESEM). The filtration efficiency of keratin Chitosan nanofibers were investigated through DOP test and heavy metal removal capacity of evaluated through Atomic absorption spectroscopy. FTIR results were showed that Keratin gets compatible with Chitosan. XRD patterns revealed keratin was in crystalline nature and increase the crystalline nature of Chitosan nanofibers. FESEM images showed that uniform nanofibers generation with average fiber diameter 80nm. Nanofibers filtration efficiency against a particulate matter in air was obtained more than 99.53% and excellent property of removal of heavy metal.
ANALYSIS ON LOAD BALANCING ALGORITHMS IMPLEMENTATION ON CLOUD COMPUTING ENVIR...AM Publications
Cloud computing means storing and accessing data and programs over the Internet instead of your computer's hard drive. The cloud is just a metaphor for the Internet. The elements involved in cloud computing are clients, data center and distributed server. One of the main problems in cloud computing is load balancing. Balancing the load means to distribute the workload among several nodes evenly so that no single node will be overloaded. Load can be of any type that is it can be CPU load, memory capacity or network load. In this paper we presented an architecture of load balancing and algorithm which will further improve the load balancing problem by minimizing the response time. In this paper, we have proposed the enhanced version of existing regulated load balancing approach for cloud computing by comping the Randomization and greedy load balancing algorithm. To check the performance of proposed approach, we have used the cloud analyst simulator (Cloud Analyst). Through simulation analysis, it has been found that proposed improved version of regulated load balancing approach has shown better performance in terms of cost, response time and data processing time.
A MODEL BASED APPROACH FOR IMPLEMENTING WLAN SECURITY AM Publications
This paper presents various security features and configurations commonly implemented in WLANs and their aggregated security levels and then proposes a model that enables implementation and evaluation of WLAN security
A review on techniques and modelling methodologies used for checking electrom...nooriasukmaningtyas
The proper function of the integrated circuit (IC) in an inhibiting electromagnetic environment has always been a serious concern throughout the decades of revolution in the world of electronics, from disjunct devices to today’s integrated circuit technology, where billions of transistors are combined on a single chip. The automotive industry and smart vehicles in particular, are confronting design issues such as being prone to electromagnetic interference (EMI). Electronic control devices calculate incorrect outputs because of EMI and sensors give misleading values which can prove fatal in case of automotives. In this paper, the authors have non exhaustively tried to review research work concerned with the investigation of EMI in ICs and prediction of this EMI using various modelling methodologies and measurement setups.
A SYSTEMATIC RISK ASSESSMENT APPROACH FOR SECURING THE SMART IRRIGATION SYSTEMSIJNSA Journal
The smart irrigation system represents an innovative approach to optimize water usage in agricultural and landscaping practices. The integration of cutting-edge technologies, including sensors, actuators, and data analysis, empowers this system to provide accurate monitoring and control of irrigation processes by leveraging real-time environmental conditions. The main objective of a smart irrigation system is to optimize water efficiency, minimize expenses, and foster the adoption of sustainable water management methods. This paper conducts a systematic risk assessment by exploring the key components/assets and their functionalities in the smart irrigation system. The crucial role of sensors in gathering data on soil moisture, weather patterns, and plant well-being is emphasized in this system. These sensors enable intelligent decision-making in irrigation scheduling and water distribution, leading to enhanced water efficiency and sustainable water management practices. Actuators enable automated control of irrigation devices, ensuring precise and targeted water delivery to plants. Additionally, the paper addresses the potential threat and vulnerabilities associated with smart irrigation systems. It discusses limitations of the system, such as power constraints and computational capabilities, and calculates the potential security risks. The paper suggests possible risk treatment methods for effective secure system operation. In conclusion, the paper emphasizes the significant benefits of implementing smart irrigation systems, including improved water conservation, increased crop yield, and reduced environmental impact. Additionally, based on the security analysis conducted, the paper recommends the implementation of countermeasures and security approaches to address vulnerabilities and ensure the integrity and reliability of the system. By incorporating these measures, smart irrigation technology can revolutionize water management practices in agriculture, promoting sustainability, resource efficiency, and safeguarding against potential security threats.
Introduction- e - waste – definition - sources of e-waste– hazardous substances in e-waste - effects of e-waste on environment and human health- need for e-waste management– e-waste handling rules - waste minimization techniques for managing e-waste – recycling of e-waste - disposal treatment methods of e- waste – mechanism of extraction of precious metal from leaching solution-global Scenario of E-waste – E-waste in India- case studies.
Embedded machine learning-based road conditions and driving behavior monitoringIJECEIAES
Car accident rates have increased in recent years, resulting in losses in human lives, properties, and other financial costs. An embedded machine learning-based system is developed to address this critical issue. The system can monitor road conditions, detect driving patterns, and identify aggressive driving behaviors. The system is based on neural networks trained on a comprehensive dataset of driving events, driving styles, and road conditions. The system effectively detects potential risks and helps mitigate the frequency and impact of accidents. The primary goal is to ensure the safety of drivers and vehicles. Collecting data involved gathering information on three key road events: normal street and normal drive, speed bumps, circular yellow speed bumps, and three aggressive driving actions: sudden start, sudden stop, and sudden entry. The gathered data is processed and analyzed using a machine learning system designed for limited power and memory devices. The developed system resulted in 91.9% accuracy, 93.6% precision, and 92% recall. The achieved inference time on an Arduino Nano 33 BLE Sense with a 32-bit CPU running at 64 MHz is 34 ms and requires 2.6 kB peak RAM and 139.9 kB program flash memory, making it suitable for resource-constrained embedded systems.
Presentation of IEEE Slovenia CIS (Computational Intelligence Society) Chapte...University of Maribor
Slides from talk presenting:
Aleš Zamuda: Presentation of IEEE Slovenia CIS (Computational Intelligence Society) Chapter and Networking.
Presentation at IcETRAN 2024 session:
"Inter-Society Networking Panel GRSS/MTT-S/CIS
Panel Session: Promoting Connection and Cooperation"
IEEE Slovenia GRSS
IEEE Serbia and Montenegro MTT-S
IEEE Slovenia CIS
11TH INTERNATIONAL CONFERENCE ON ELECTRICAL, ELECTRONIC AND COMPUTING ENGINEERING
3-6 June 2024, Niš, Serbia
Using recycled concrete aggregates (RCA) for pavements is crucial to achieving sustainability. Implementing RCA for new pavement can minimize carbon footprint, conserve natural resources, reduce harmful emissions, and lower life cycle costs. Compared to natural aggregate (NA), RCA pavement has fewer comprehensive studies and sustainability assessments.