This document summarizes an article from the International Journal of Electronics and Communication Engineering & Technology about biomimetic robots inspired by ants. It discusses how ants exhibit behaviors like discovering and exploiting food sources, and how robot teams could emulate these behaviors. The document then describes the key behaviors of ants, including how they sense food and communicate paths to it using pheromones. It proposes a structure for a team of ant-inspired robots that would work collaboratively to locate a target, with one robot acting as a leader to coordinate the others. Flow charts are provided to illustrate the process the biomimetic robots would follow to randomly search, detect a target, recruit others to help exploit it, and return to their nest.
IRJET- Analysis of Artificial Fish based MechanismIRJET Journal
This document summarizes research on developing an artificial fish mechanism that can mimic the multidirectional propulsion of natural fish. The researchers created a 3D digital fish simulator to study different fish propulsion modes and generate swimming data. They used this data to design and test a new artificial fish mechanism. The mechanism aims to match the natural complexity of fish swimming by utilizing multiple surfaces like fins and body for propulsion. The researchers believe accurate mimicry of fish locomotion could enable applications like underwater surveillance and ocean monitoring. They analyzed their artificial fish design in the 3D simulator and found it provided improved modeling over prior simulators.
Producers like plants and algae use photosynthesis to produce their own food. Primary consumers (herbivores) eat the producers, and secondary consumers (carnivores) eat the primary consumers. Tertiary consumers are top carnivores that eat secondary consumers. A food chain shows the transfer of energy from organisms that are eaten to the organisms that do the eating, with arrows pointing from prey to predator.
An ecosystem is a complex system composed of biotic and abiotic components that interact with each other. Biotic components include producers, consumers, and decomposers. Producers use photosynthesis to produce organic matter. Consumers feed on producers or other consumers. Decomposers break down dead organic matter and return nutrients to the soil. Energy and biomass decrease at each trophic level as only about 10% is transferred between levels due to energy loss. Ecosystems can be modeled using ecological pyramids which show decreasing biomass and energy at higher trophic levels.
This document discusses several key concepts in ecology:
1) It defines an ecosystem as a community of organisms living together in a habitat and notes that ecosystems are constantly changing due to various biotic and abiotic factors.
2) It mentions that there are different techniques for taking samples to measure changes in populations and environmental conditions within an ecosystem.
3) It explains food chains and pyramids of numbers, which illustrate the transfer of energy and decrease in numbers of organisms at higher trophic levels in a food web.
An ecosystem consists of all the organisms living in an area along with the physical components of the environment. A population is a group of the same species that lives in the same ecosystem, while a community includes all the populations in an ecosystem. Limiting factors like food and water usually have the greatest effect on population size by restricting its growth and determining the ecosystem's carrying capacity, which is the maximum population it can sustain.
1) The document discusses key concepts in ecology including producers, consumers, food chains, and symbiotic relationships.
2) Producers such as plants use photosynthesis to obtain energy from the sun, while some use chemosynthesis, and consumers obtain energy by eating producers or other consumers.
3) Symbiotic relationships include mutualism, commensalism, and parasitism, and an organism's niche describes how it finds resources and avoids threats in its environment.
This document summarizes a research article from the International Journal of Advanced Research in Management. The article discusses organizational commitment, which refers to an employee's psychological attachment to an organization. It reviews different models of organizational commitment, including viewing it as a unidimensional versus multidimensional construct. It specifically examines Meyer and Allen's three-component model of commitment, which includes affective, continuance, and normative commitment. The article also discusses factors that can impact an employee's level of organizational commitment, such as role stress, empowerment, job insecurity, and leadership distribution. It concludes by reviewing different forces that can drive organizational commitment, such as investments, reciprocity, lack of alternatives, and identification with an organization
IRJET- Analysis of Artificial Fish based MechanismIRJET Journal
This document summarizes research on developing an artificial fish mechanism that can mimic the multidirectional propulsion of natural fish. The researchers created a 3D digital fish simulator to study different fish propulsion modes and generate swimming data. They used this data to design and test a new artificial fish mechanism. The mechanism aims to match the natural complexity of fish swimming by utilizing multiple surfaces like fins and body for propulsion. The researchers believe accurate mimicry of fish locomotion could enable applications like underwater surveillance and ocean monitoring. They analyzed their artificial fish design in the 3D simulator and found it provided improved modeling over prior simulators.
Producers like plants and algae use photosynthesis to produce their own food. Primary consumers (herbivores) eat the producers, and secondary consumers (carnivores) eat the primary consumers. Tertiary consumers are top carnivores that eat secondary consumers. A food chain shows the transfer of energy from organisms that are eaten to the organisms that do the eating, with arrows pointing from prey to predator.
An ecosystem is a complex system composed of biotic and abiotic components that interact with each other. Biotic components include producers, consumers, and decomposers. Producers use photosynthesis to produce organic matter. Consumers feed on producers or other consumers. Decomposers break down dead organic matter and return nutrients to the soil. Energy and biomass decrease at each trophic level as only about 10% is transferred between levels due to energy loss. Ecosystems can be modeled using ecological pyramids which show decreasing biomass and energy at higher trophic levels.
This document discusses several key concepts in ecology:
1) It defines an ecosystem as a community of organisms living together in a habitat and notes that ecosystems are constantly changing due to various biotic and abiotic factors.
2) It mentions that there are different techniques for taking samples to measure changes in populations and environmental conditions within an ecosystem.
3) It explains food chains and pyramids of numbers, which illustrate the transfer of energy and decrease in numbers of organisms at higher trophic levels in a food web.
An ecosystem consists of all the organisms living in an area along with the physical components of the environment. A population is a group of the same species that lives in the same ecosystem, while a community includes all the populations in an ecosystem. Limiting factors like food and water usually have the greatest effect on population size by restricting its growth and determining the ecosystem's carrying capacity, which is the maximum population it can sustain.
1) The document discusses key concepts in ecology including producers, consumers, food chains, and symbiotic relationships.
2) Producers such as plants use photosynthesis to obtain energy from the sun, while some use chemosynthesis, and consumers obtain energy by eating producers or other consumers.
3) Symbiotic relationships include mutualism, commensalism, and parasitism, and an organism's niche describes how it finds resources and avoids threats in its environment.
This document summarizes a research article from the International Journal of Advanced Research in Management. The article discusses organizational commitment, which refers to an employee's psychological attachment to an organization. It reviews different models of organizational commitment, including viewing it as a unidimensional versus multidimensional construct. It specifically examines Meyer and Allen's three-component model of commitment, which includes affective, continuance, and normative commitment. The article also discusses factors that can impact an employee's level of organizational commitment, such as role stress, empowerment, job insecurity, and leadership distribution. It concludes by reviewing different forces that can drive organizational commitment, such as investments, reciprocity, lack of alternatives, and identification with an organization
This document provides a literature review of handwritten character recognition techniques. It discusses the basic workflow of character recognition systems, including pre-processing, segmentation, feature extraction, classification, and post-processing. It then reviews several published papers on character recognition in various languages and scripts, comparing different feature extraction and classification methods. Specifically, it examines techniques like principal component analysis, neural networks, template matching, and Hidden Markov Models. The review finds that while accuracy has improved, obtaining 100% accuracy in character recognition remains a challenge due to variability in handwriting styles.
McWane Poles manufactures ductile iron poles for electric distribution lines. Ductile iron poles have similar strength to steel but are more corrosion resistant. They are also cost effective, durable, recyclable, and easier to install than wood or steel poles. Ductile iron poles are manufactured by casting molten iron in a centrifuge process to create poles with high strength, corrosion resistance, and consistent dimensions. McWane Poles has conducted tests showing ductile iron poles meet or exceed load requirements for utility poles.
MEMORY EFFICIENT FREQUENT PATTERN MINING USING TRANSPOSITION OF DATABASEIAEME Publication
Frequent pattern can be extract from any dataset by using Apriori algorithm. Apriori algorithm is first choice of all researchers to find frequently occurs pattern from any binary dataset. Dataset contain record of user purchase item as transaction record. This paper improves existing apriori algorithm performance by extract frequent patterns from binary transaction data. New approach is applied for dataset implementation in form of transposed database of user’s record for fast data access. New work has done to mine frequent patterns using transposition of dataset, if database is large and contains thousands of attributes but having only some objects.
Electricity distribution system in indiaJasgt Singh
BRPL distributes power to over 12.2 lakh customers across 19 districts in South and West Delhi. Power is generated at medium voltages and stepped up to high or extra high voltages for transmission, then stepped down at distribution stations to 415/240V for customers. The Saket D-block substation has 2 transformers with a capacity of 1250kVA each that step down 11kV power from feeders to 416/240V. Ring Main Units are used at the high voltage side for feeding and protection, with 3 switches for 2 inputs and 1 output. Power is distributed through overhead or underground lines, with underground being more expensive. Faults can be transient from temporary contacts or persistent from cable damage, and can
The document discusses a framework for web information retrieval using automatic multi-document summarization. It proposes using multi-level document summarization to enhance the effectiveness of web information retrieval by supporting indexing and ranking of retrieved documents with an intelligent decision making system based on fuzzy inference rules. The paper tests the approach on CACM test data and finds that information retrieval results can be improved after performing a multi-document summarization process.
This document discusses the stress-strain behavior of Ultra High Performance Concrete (UHPC) under uniaxial compression. Cylinder specimens with varying fiber contents were tested to determine their complete stress-strain curves and develop stress-strain models. The highest compressive strength of 171.3 MPa was achieved with 2% 13mm fibers. A modified toughness index was proposed and ranged from 2.64 to 4.65, indicating fiber reinforcement improved cracking resistance. The optimal fiber contents were found to be 3% 6mm fibers or 2% 13mm fibers. Several models were examined and a modified model provided the best fit for predicting the stress-strain behavior of UHPC.
The document summarizes an experimental study on the flexural behavior of reinforced concrete beams with different percentages of Ground Granulated Blast Furnace Slag (GGBS) as a partial replacement for cement. Twelve beams were tested with 0%, 30%, and 40% GGBS replacement at 28 and 56 days. The study found that while beams with GGBS had lower ultimate loads than plain cement beams at 28 days, the loads increased with age and were equivalent to plain cement beams by 56 days. Deflections of GGBS beams under service loads were also comparable to plain cement beams by 56 days. The structural behavior and failure patterns of GGBS beams resembled those of plain cement beams. Thus, the study concluded that G
This document evaluates the effectiveness of detached breakwaters and groynes for reducing coastal erosion along the Alappad coast in Kerala, India. Numerical modeling is conducted using software to analyze wave parameters, currents, and sediment transport with and without protective structures. Results show that detached breakwaters are most effective at reducing wave heights, while groynes provide a better barrier against dominant northward currents. Both structures decrease sediment transport rates and can reduce coastal erosion. Transition groynes with a spacing of twice their length perform well with minimal downstream impacts.
This document is a seminar report on automatic transmission systems submitted by Vijay Kumar, an 8th semester mechanical engineering student at VVCE Mysore. It discusses the key components of automatic transmissions including planetary gear sets, hydraulic systems, torque converters, clutches, bands and computer controls. It also covers rear-wheel drive and front-wheel drive transmissions, common problems, and repair options. The conclusion emphasizes the importance of keeping transmissions and fluid at the proper operating temperature for long life. References include technical websites and manuals.
This document discusses the per unit system used in power transmission. It defines key parameters like voltages, currents and impedance. It introduces the per unit system and formulas for converting values to a per unit basis by dividing the actual value by a base value. Base values can be the rated voltage and power values. The per unit system simplifies circuits and allows values to remain the same regardless of the size of the system. It has advantages like simplified analysis and manufacturer specification of components in per unit values. Disadvantages include more abstract equivalent circuits.
This document summarizes an experimental study on fiber reinforced concrete I-beams strengthened with carbon fiber reinforced polymer (CFRP). 10 I-beams were tested with variations in fiber content and type. Steel fibers improved compressive, tensile and flexural strength of high-strength concrete, while nylon fibers provided a slight increase. Hybrid fibers also improved properties. CFRP strengthening significantly enhanced ultimate load capacity of the beams by 11.58-33.36%. Test results indicate fibers and CFRP are effective in strengthening concrete I-beams.
This document summarizes a proposed method for text-based video retrieval. The method involves:
1) Extracting frames from videos and segmenting text regions within frames.
2) Recognizing characters using optical character recognition (OCR) and extracting color features.
3) Storing the text features and color features in a database.
4) Matching user-inputted text queries to the stored text features to retrieve matching videos. The proposed method aims to improve video indexing and retrieval accuracy compared to visual query methods.
This document presents a study comparing single OTA-C and multiple OTA-C low pass filter designs. A single OTA-C filter has limitations in achieving a wide range of cutoff frequencies. A multiple OTA-C filter uses multiple OTAs to simulate a floating inductance, allowing finer tuning of the cutoff frequency. Simulation results show the multiple OTA-C filter can achieve cutoff frequencies from 412 kHz to 11.2 MHz by varying only one bias current, while maintaining a consistent gain, providing more tuning flexibility than a single OTA-C filter. The multiple OTA-C filter structure is thus advantageous for applications requiring adjustable high frequency filters.
This document summarizes a content-based multimedia retrieval system presented in the International Journal of Computer Engineering and Technology. It discusses:
- Retrieving video clips by matching motion vectors between query and database videos, and matching audio fingerprints between query and database audio files.
- Modeling background scenes from initial video frames to detect foreground moving pixels using background subtraction and updating. Motion vectors are then computed from the detected motion.
- Separating audio from videos, extracting audio landmarks, and matching landmarks between query and reference audio tracks to identify matching tracks based on shared landmarks and their relative timing.
This document summarizes a research article from the International Journal of Electrical Engineering and Technology that proposes a decentralized stabilization method for large-scale bilinear interconnected systems. The method involves aggregating the interaction terms of each subsystem with its state matrix, resulting in decoupled subsystems. Optimal control gains are then computed by solving the algebraic Riccati equation for each decoupled subsystem. These decentralized feedback controls are shown to stabilize the overall system with near-optimal performance and minimum control energy cost. The method is demonstrated numerically on a system of three second-order bilinear subsystems.
This document discusses the optimal design of machinery shallow foundations on clay soils. It aims to minimize foundation cost by using foundation mass as the objective function, while ensuring high technical quality through 10 functional constraints related to soil mechanics and vibrations. These constraints control factors like foundation dimensions, bearing capacity, settlement, and maximum vibration amplitude. The approach uses MATLAB optimization to determine the optimal design that best satisfies the objective function and constraints.
This document summarizes the design and development of a high frequency, high efficiency multiple output forward converter using an UCC2891 controller. It begins with design specifications including input/output voltages and currents. It then describes the forward converter topology with active clamp reset and coupled inductor outputs. The summary discusses:
1) Transformer and active clamp design calculations including turns ratio, area product, and clamp capacitor value.
2) MOSFET and output filter component selection based on voltage, current and switching frequency requirements.
3) Use of the UCC2891 controller which simplifies active clamp operation and provides maximum duty cycle clamp and delay timing between switches for zero voltage switching.
4) Under voltage lock
This document summarizes a research paper on combustion analysis of compression ignition engines using biodiesel. It discusses key aspects of diesel combustion including ignition delay, heat release rate, and combustion duration. The paper finds that biodiesel has a shorter ignition delay and higher heat release rate during diffusion combustion compared to diesel. It also sees differences in cumulative heat release rate and combustion duration between biodiesel and diesel. The document provides a comprehensive review of how biodiesel affects the combustion process in compression ignition engines.
This document summarizes a research article that analyzes the influence of characteristics of mutual funds on investment decisions. It begins with background on mutual funds and how they pool savings from individual investors. The study aims to understand what factors drive people's decisions to invest in mutual funds by looking specifically at how characteristics of the mutual funds themselves influence those decisions. The hypotheses are that there is a positive relationship between mutual fund characteristics and investment decisions, or there is not. The methodology uses both secondary data from literature and primary data collection to test this.
Swarm Intelligence: An Application of Ant Colony OptimizationIJMER
Swarm intelligence, a branch of artificial intelligence is a part which discusses the collective
behaviour of social animals such as ants, fishes, termites, birds, bacteria. The collective behaviour of
animals to achieve target can be used in practical applications. One of the applications is ant colony
optimization. Ongoing research of ACO, there are diverse applications namely data mining, image
processing, power electronic circuit design etc. One of that is network routing. By using ACO, we can
find the shortest path in network routing
All networks tend to become more and more complicated. They can be wired, with lots of routers, or wireless, with lots of mobile nodes… The problem remains the same: in order to get the best from the network, there is a need to find the shortest path. The more complicated the network is, the more difficult it is to manage the routes and indicate which one is the best.
The Nature gives us a solution to find the shortest path. The ants, in their necessity to find food and brings it back to the nest, manage not only to explore a vast area, but also to indicate to their peers the location of the food while bringing it back to the nest. Thus, they know where their nest is, and also their destination, without having a global view of the ground. Most of the time, they will find the shortest path and adapt to ground changes, hence proving their great efficiency toward this difficult task.
The purpose of this project is to provide a clear understanting of the Ants-based algorithm, by giving a formal and comprehensive systematization of the subject. The simulation developed in Java will be a support of a deeper analysis of the factors of the algorithm, its potentialities and its limitations. Then the state-of-the-arts utilisation of this algorithm and its implementations in routing algorithms, mostly for mobile ad hoc networks, will be explained. Results of recent studies will be given and resume the current employments of this great algorithm inspired by the Nature.
This document provides a literature review of handwritten character recognition techniques. It discusses the basic workflow of character recognition systems, including pre-processing, segmentation, feature extraction, classification, and post-processing. It then reviews several published papers on character recognition in various languages and scripts, comparing different feature extraction and classification methods. Specifically, it examines techniques like principal component analysis, neural networks, template matching, and Hidden Markov Models. The review finds that while accuracy has improved, obtaining 100% accuracy in character recognition remains a challenge due to variability in handwriting styles.
McWane Poles manufactures ductile iron poles for electric distribution lines. Ductile iron poles have similar strength to steel but are more corrosion resistant. They are also cost effective, durable, recyclable, and easier to install than wood or steel poles. Ductile iron poles are manufactured by casting molten iron in a centrifuge process to create poles with high strength, corrosion resistance, and consistent dimensions. McWane Poles has conducted tests showing ductile iron poles meet or exceed load requirements for utility poles.
MEMORY EFFICIENT FREQUENT PATTERN MINING USING TRANSPOSITION OF DATABASEIAEME Publication
Frequent pattern can be extract from any dataset by using Apriori algorithm. Apriori algorithm is first choice of all researchers to find frequently occurs pattern from any binary dataset. Dataset contain record of user purchase item as transaction record. This paper improves existing apriori algorithm performance by extract frequent patterns from binary transaction data. New approach is applied for dataset implementation in form of transposed database of user’s record for fast data access. New work has done to mine frequent patterns using transposition of dataset, if database is large and contains thousands of attributes but having only some objects.
Electricity distribution system in indiaJasgt Singh
BRPL distributes power to over 12.2 lakh customers across 19 districts in South and West Delhi. Power is generated at medium voltages and stepped up to high or extra high voltages for transmission, then stepped down at distribution stations to 415/240V for customers. The Saket D-block substation has 2 transformers with a capacity of 1250kVA each that step down 11kV power from feeders to 416/240V. Ring Main Units are used at the high voltage side for feeding and protection, with 3 switches for 2 inputs and 1 output. Power is distributed through overhead or underground lines, with underground being more expensive. Faults can be transient from temporary contacts or persistent from cable damage, and can
The document discusses a framework for web information retrieval using automatic multi-document summarization. It proposes using multi-level document summarization to enhance the effectiveness of web information retrieval by supporting indexing and ranking of retrieved documents with an intelligent decision making system based on fuzzy inference rules. The paper tests the approach on CACM test data and finds that information retrieval results can be improved after performing a multi-document summarization process.
This document discusses the stress-strain behavior of Ultra High Performance Concrete (UHPC) under uniaxial compression. Cylinder specimens with varying fiber contents were tested to determine their complete stress-strain curves and develop stress-strain models. The highest compressive strength of 171.3 MPa was achieved with 2% 13mm fibers. A modified toughness index was proposed and ranged from 2.64 to 4.65, indicating fiber reinforcement improved cracking resistance. The optimal fiber contents were found to be 3% 6mm fibers or 2% 13mm fibers. Several models were examined and a modified model provided the best fit for predicting the stress-strain behavior of UHPC.
The document summarizes an experimental study on the flexural behavior of reinforced concrete beams with different percentages of Ground Granulated Blast Furnace Slag (GGBS) as a partial replacement for cement. Twelve beams were tested with 0%, 30%, and 40% GGBS replacement at 28 and 56 days. The study found that while beams with GGBS had lower ultimate loads than plain cement beams at 28 days, the loads increased with age and were equivalent to plain cement beams by 56 days. Deflections of GGBS beams under service loads were also comparable to plain cement beams by 56 days. The structural behavior and failure patterns of GGBS beams resembled those of plain cement beams. Thus, the study concluded that G
This document evaluates the effectiveness of detached breakwaters and groynes for reducing coastal erosion along the Alappad coast in Kerala, India. Numerical modeling is conducted using software to analyze wave parameters, currents, and sediment transport with and without protective structures. Results show that detached breakwaters are most effective at reducing wave heights, while groynes provide a better barrier against dominant northward currents. Both structures decrease sediment transport rates and can reduce coastal erosion. Transition groynes with a spacing of twice their length perform well with minimal downstream impacts.
This document is a seminar report on automatic transmission systems submitted by Vijay Kumar, an 8th semester mechanical engineering student at VVCE Mysore. It discusses the key components of automatic transmissions including planetary gear sets, hydraulic systems, torque converters, clutches, bands and computer controls. It also covers rear-wheel drive and front-wheel drive transmissions, common problems, and repair options. The conclusion emphasizes the importance of keeping transmissions and fluid at the proper operating temperature for long life. References include technical websites and manuals.
This document discusses the per unit system used in power transmission. It defines key parameters like voltages, currents and impedance. It introduces the per unit system and formulas for converting values to a per unit basis by dividing the actual value by a base value. Base values can be the rated voltage and power values. The per unit system simplifies circuits and allows values to remain the same regardless of the size of the system. It has advantages like simplified analysis and manufacturer specification of components in per unit values. Disadvantages include more abstract equivalent circuits.
This document summarizes an experimental study on fiber reinforced concrete I-beams strengthened with carbon fiber reinforced polymer (CFRP). 10 I-beams were tested with variations in fiber content and type. Steel fibers improved compressive, tensile and flexural strength of high-strength concrete, while nylon fibers provided a slight increase. Hybrid fibers also improved properties. CFRP strengthening significantly enhanced ultimate load capacity of the beams by 11.58-33.36%. Test results indicate fibers and CFRP are effective in strengthening concrete I-beams.
This document summarizes a proposed method for text-based video retrieval. The method involves:
1) Extracting frames from videos and segmenting text regions within frames.
2) Recognizing characters using optical character recognition (OCR) and extracting color features.
3) Storing the text features and color features in a database.
4) Matching user-inputted text queries to the stored text features to retrieve matching videos. The proposed method aims to improve video indexing and retrieval accuracy compared to visual query methods.
This document presents a study comparing single OTA-C and multiple OTA-C low pass filter designs. A single OTA-C filter has limitations in achieving a wide range of cutoff frequencies. A multiple OTA-C filter uses multiple OTAs to simulate a floating inductance, allowing finer tuning of the cutoff frequency. Simulation results show the multiple OTA-C filter can achieve cutoff frequencies from 412 kHz to 11.2 MHz by varying only one bias current, while maintaining a consistent gain, providing more tuning flexibility than a single OTA-C filter. The multiple OTA-C filter structure is thus advantageous for applications requiring adjustable high frequency filters.
This document summarizes a content-based multimedia retrieval system presented in the International Journal of Computer Engineering and Technology. It discusses:
- Retrieving video clips by matching motion vectors between query and database videos, and matching audio fingerprints between query and database audio files.
- Modeling background scenes from initial video frames to detect foreground moving pixels using background subtraction and updating. Motion vectors are then computed from the detected motion.
- Separating audio from videos, extracting audio landmarks, and matching landmarks between query and reference audio tracks to identify matching tracks based on shared landmarks and their relative timing.
This document summarizes a research article from the International Journal of Electrical Engineering and Technology that proposes a decentralized stabilization method for large-scale bilinear interconnected systems. The method involves aggregating the interaction terms of each subsystem with its state matrix, resulting in decoupled subsystems. Optimal control gains are then computed by solving the algebraic Riccati equation for each decoupled subsystem. These decentralized feedback controls are shown to stabilize the overall system with near-optimal performance and minimum control energy cost. The method is demonstrated numerically on a system of three second-order bilinear subsystems.
This document discusses the optimal design of machinery shallow foundations on clay soils. It aims to minimize foundation cost by using foundation mass as the objective function, while ensuring high technical quality through 10 functional constraints related to soil mechanics and vibrations. These constraints control factors like foundation dimensions, bearing capacity, settlement, and maximum vibration amplitude. The approach uses MATLAB optimization to determine the optimal design that best satisfies the objective function and constraints.
This document summarizes the design and development of a high frequency, high efficiency multiple output forward converter using an UCC2891 controller. It begins with design specifications including input/output voltages and currents. It then describes the forward converter topology with active clamp reset and coupled inductor outputs. The summary discusses:
1) Transformer and active clamp design calculations including turns ratio, area product, and clamp capacitor value.
2) MOSFET and output filter component selection based on voltage, current and switching frequency requirements.
3) Use of the UCC2891 controller which simplifies active clamp operation and provides maximum duty cycle clamp and delay timing between switches for zero voltage switching.
4) Under voltage lock
This document summarizes a research paper on combustion analysis of compression ignition engines using biodiesel. It discusses key aspects of diesel combustion including ignition delay, heat release rate, and combustion duration. The paper finds that biodiesel has a shorter ignition delay and higher heat release rate during diffusion combustion compared to diesel. It also sees differences in cumulative heat release rate and combustion duration between biodiesel and diesel. The document provides a comprehensive review of how biodiesel affects the combustion process in compression ignition engines.
This document summarizes a research article that analyzes the influence of characteristics of mutual funds on investment decisions. It begins with background on mutual funds and how they pool savings from individual investors. The study aims to understand what factors drive people's decisions to invest in mutual funds by looking specifically at how characteristics of the mutual funds themselves influence those decisions. The hypotheses are that there is a positive relationship between mutual fund characteristics and investment decisions, or there is not. The methodology uses both secondary data from literature and primary data collection to test this.
Swarm Intelligence: An Application of Ant Colony OptimizationIJMER
Swarm intelligence, a branch of artificial intelligence is a part which discusses the collective
behaviour of social animals such as ants, fishes, termites, birds, bacteria. The collective behaviour of
animals to achieve target can be used in practical applications. One of the applications is ant colony
optimization. Ongoing research of ACO, there are diverse applications namely data mining, image
processing, power electronic circuit design etc. One of that is network routing. By using ACO, we can
find the shortest path in network routing
All networks tend to become more and more complicated. They can be wired, with lots of routers, or wireless, with lots of mobile nodes… The problem remains the same: in order to get the best from the network, there is a need to find the shortest path. The more complicated the network is, the more difficult it is to manage the routes and indicate which one is the best.
The Nature gives us a solution to find the shortest path. The ants, in their necessity to find food and brings it back to the nest, manage not only to explore a vast area, but also to indicate to their peers the location of the food while bringing it back to the nest. Thus, they know where their nest is, and also their destination, without having a global view of the ground. Most of the time, they will find the shortest path and adapt to ground changes, hence proving their great efficiency toward this difficult task.
The purpose of this project is to provide a clear understanting of the Ants-based algorithm, by giving a formal and comprehensive systematization of the subject. The simulation developed in Java will be a support of a deeper analysis of the factors of the algorithm, its potentialities and its limitations. Then the state-of-the-arts utilisation of this algorithm and its implementations in routing algorithms, mostly for mobile ad hoc networks, will be explained. Results of recent studies will be given and resume the current employments of this great algorithm inspired by the Nature.
SWARM INTELLIGENCE FROM NATURAL TO ARTIFICIAL SYSTEMS: ANT COLONY OPTIMIZATIONFransiskeran
This document summarizes research on ant colony optimization (ACO), a metaheuristic algorithm inspired by the foraging behavior of ants. It describes how real ant colonies use pheromone trails to efficiently find short paths between their nest and food sources through decentralized cooperation. The document then explains how ACO works by simulating artificial ants that probabilistically construct solutions and update pheromone values to guide future construction. Several standard ACO algorithms are outlined, including Ant System, Ant Colony System, Max-Min Ant System, and Rank-Based Ant System. Applications of ACO discussed include the traveling salesman problem.
This document provides an introduction to insects. It notes that insects make up the most dominant and diverse group of creatures on Earth, found everywhere from deserts to forests. Insects have evolved many adaptations that have led to their success, including wings that allow for flight, a hard exoskeleton, a decentralized nervous system, and specialized defense and reproduction abilities. The document discusses insect diversity in size, lifespan, diet, and metamorphosis. It outlines insects' importance to ecosystems and humans, from pollination and food to disease transmission. Forensically, the study of insect biology can aid criminal investigations. Overall, the document highlights insects' antiquity, abundance, and fascinating traits that have enabled their enduring presence across
This document discusses communication techniques in swarm robotics. It summarizes three studies on this topic. The first two studies found that using chemical pheromones for communication between swarm robots resulted in better performance than not using pheromones. The third study used a heterogeneous swarm of footbots and eyebots that communicated via telecommunication; this approach worked well due to synchronization between the bot types. In conclusion, chemical communication works best due to the self-learning nature of the robots, but telecommunication can also be effective if different robot types are synchronized properly. Future work could explore new types of chemical trails that are not limited to land or use combinations of communication approaches.
This document provides an overview of a course on bio-inspired robotics. The course will cover topics like bio-inspired sensors, actuators, locomotion, and controllers. It will focus on applying insights from biology to engineering problems and robotics. Students will complete a project building a 3D model of an animal in a simulator and developing locomotion algorithms inspired by the animal. The grade will be based 50% on a final exam and 50% on the project. Required textbooks and a list of lectures on various bio-inspired topics are also included.
The document discusses ant colony optimization (ACO), a metaheuristic algorithm inspired by the foraging behavior of ants. ACO is used to find solutions to difficult optimization and computational problems that can be reduced to finding optimal paths in graphs. The key points are:
1) ACO is based on how ants communicate indirectly using pheromone trails to find shortest paths between food sources and their nest. Higher pheromone concentrations attract more ants to those paths.
2) ACO algorithms emulate this behavior to solve NP-hard problems like the traveling salesman problem. Ants probabilistically construct candidate solutions and update pheromone trails, guiding future ants to better solutions over time.
3)
Xenobots are the world's first living, self-healing robots created by scientists at the University of Vermont and Tufts University. They are millimeter-sized robots constructed from stem cells of the African clawed frog and can walk, swim, and survive for weeks without food. To create the Xenobots, living stem cells were scraped from frog embryos, cut and reshaped using microtools under a microscope into specific body forms designed by a supercomputer. The cells then self-organized to form the designed structures and their pulsing heart muscle cells allow them to move. Potential applications of these biodegradable Xenobots include searching out hazardous compounds, gathering microplastics in oceans, and traveling inside arteries
Red imported fire ants are an invasive ant species that originated in South America but have now spread throughout the southern United States and Puerto Rico, where they pose problems for humans, agriculture, and native wildlife. They can be identified by their reddish-brown color and painful sting, as each ant has a venomous stinger at the end of its abdomen. Controlling the spread of red imported fire ants is important as their mounds can damage equipment and infestations can pose health risks for those allergic to their venom.
Swarm intelligence is inspired by the collective behavior of social insects like ants and bees. It involves the decentralized control of groups of simple agents interacting locally with each other and their environment. Some key points covered:
- Particle swarm optimization and ant colony optimization are two popular swarm intelligence algorithms. They are inspired by bird flocking and ant foraging behavior respectively.
- PSO mimics social interaction to optimize problems. Each agent updates its position based on its own experience and neighboring agents. ACO uses simulated ants depositing pheromones to probabilistically construct solutions.
- Swarm intelligence systems are robust, relatively simple, and can achieve complex functions through self-organization and emergence. They have applications in routing
Swarm intelligence is inspired by the collective behavior of social insects like ants and bees. It involves the decentralized control of groups of simple agents interacting locally with each other and their environment. Some key points covered:
- Particle swarm optimization and ant colony optimization are two popular swarm intelligence algorithms. They are inspired by bird flocking and ant foraging behavior respectively.
- PSO mimics social interaction to optimize problems. Each agent updates its position based on its own experience and neighboring agents. ACO uses artificial ants depositing pheromones to probabilistically construct solutions.
- Swarm intelligence systems are robust, relatively simple, and can achieve complex functions through self-organization and emergence. They have applications in routing
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.
Swarm robotics is a new approach to the coordination of multirobot systems which consist of large numbers of mostly simple physical robots In this paper, we will discuss this emerging filed, Swarm Robots. This filed has many applications. We will also discuss these applications in detail.
Swarm robotics is an approach to controlling large groups of robots inspired by social insects like ants and bees. It emphasizes emergent behaviors from local interactions between relatively simple robots with only local sensing and communication. This allows for properties like robustness, flexibility, and scalability needed for deploying many robots. Swarm robotics systems consist of many homogeneous robots that are not very capable individually but can collectively perform tasks through self-organization.
This document discusses biomimetic robots, which are robots that take inspiration from biological organisms in their structure, function, or mechanisms. It provides an overview of the history and development of biomimetic robots, examples of different types of biomimetic robots modeled after animals such as lobsters, snakes, fish, and insects, and applications of biomimetic robots in areas such as medical, rescue, and space exploration.
This document discusses how nature and biology inspire sensors and measurements. It provides examples of biomimetic inventions such as Velcro inspired by burrs, gecko feet inspired by gecko adhesion abilities, and bullet trains inspired by fish hydrodynamics. The document then discusses how honeybees use the sun, landmarks, and electromagnetic fields for navigation. It also discusses how plants like mimosa and sensitive fern can sense touch. Finally, it discusses the potential of biomimetics for developing multifunctional, sustainable, and redundant sensors and provides examples of biology-inspired sensors such as log-polar cameras inspired by primate vision and sonar receivers inspired by dolphin echolocation.
Web mining involves discovering useful information from web data through three main types: web structure mining analyzes hyperlink structures between pages, web content mining extracts information from page contents, and web usage mining analyzes patterns from user interactions on websites. Swarm intelligence is used to model collective behavior of decentralized self-organized systems and has been applied to problems like routing, robotics, and optimization through approaches like ant colony optimization and particle swarm optimization that are inspired by behaviors of social insects like ants and birds.
On Manipulating Attractors In Collective Behaviours Of Bio-hybrid Societies W...FoCAS Initiative
This document discusses using robots to manipulate collective animal behaviors through continuous social interaction with bio-hybrid societies. It describes how robots have been integrated into animal societies, such as cockroaches, to influence group decisions by exploiting social factors. The goal is to steer collective systems to new attractors without directly interfering with every individual. This could allow non-invasive control or monitoring of animal groups for applications like regulating pest populations or encouraging beneficial flocking behaviors. However, more work is needed to identify effective interaction points for new species without unintended consequences.
Submission Deadline: 30th September 2022
Acceptance Notification: Within Three Days’ time period
Online Publication: Within 24 Hrs. time Period
Expected Date of Dispatch of Printed Journal: 5th October 2022
MODELING AND ANALYSIS OF SURFACE ROUGHNESS AND WHITE LATER THICKNESS IN WIRE-...IAEME Publication
White layer thickness (WLT) formed and surface roughness in wire electric discharge turning (WEDT) of tungsten carbide composite has been made to model through response surface methodology (RSM). A Taguchi’s standard Design of experiments involving five input variables with three levels has been employed to establish a mathematical model between input parameters and responses. Percentage of cobalt content, spindle speed, Pulse on-time, wire feed and pulse off-time were changed during the experimental tests based on the Taguchi’s orthogonal array L27 (3^13). Analysis of variance (ANOVA) revealed that the mathematical models obtained can adequately describe performance within the parameters of the factors considered. There was a good agreement between the experimental and predicted values in this study.
A STUDY ON THE REASONS FOR TRANSGENDER TO BECOME ENTREPRENEURSIAEME Publication
The study explores the reasons for a transgender to become entrepreneurs. In this study transgender entrepreneur was taken as independent variable and reasons to become as dependent variable. Data were collected through a structured questionnaire containing a five point Likert Scale. The study examined the data of 30 transgender entrepreneurs in Salem Municipal Corporation of Tamil Nadu State, India. Simple Random sampling technique was used. Garrett Ranking Technique (Percentile Position, Mean Scores) was used as the analysis for the present study to identify the top 13 stimulus factors for establishment of trans entrepreneurial venture. Economic advancement of a nation is governed upon the upshot of a resolute entrepreneurial doings. The conception of entrepreneurship has stretched and materialized to the socially deflated uncharted sections of transgender community. Presently transgenders have smashed their stereotypes and are making recent headlines of achievements in various fields of our Indian society. The trans-community is gradually being observed in a new light and has been trying to achieve prospective growth in entrepreneurship. The findings of the research revealed that the optimistic changes are taking place to change affirmative societal outlook of the transgender for entrepreneurial ventureship. It also laid emphasis on other transgenders to renovate their traditional living. The paper also highlights that legislators, supervisory body should endorse an impartial canons and reforms in Tamil Nadu Transgender Welfare Board Association.
BROAD UNEXPOSED SKILLS OF TRANSGENDER ENTREPRENEURSIAEME Publication
Since ages gender difference is always a debatable theme whether caused by nature, evolution or environment. The birth of a transgender is dreadful not only for the child but also for their parents. The pain of living in the wrong physique and treated as second class victimized citizen is outrageous and fully harboured with vicious baseless negative scruples. For so long, social exclusion had perpetuated inequality and deprivation experiencing ingrained malign stigma and besieged victims of crime or violence across their life spans. They are pushed into the murky way of life with a source of eternal disgust, bereft sexual potency and perennial fear. Although they are highly visible but very little is known about them. The common public needs to comprehend the ravaged arrogance on these insensitive souls and assist in integrating them into the mainstream by offering equal opportunity, treat with humanity and respect their dignity. Entrepreneurship in the current age is endorsing the gender fairness movement. Unstable careers and economic inadequacy had inclined one of the gender variant people called Transgender to become entrepreneurs. These tiny budding entrepreneurs resulted in economic transition by means of employment, free from the clutches of stereotype jobs, raised standard of living and handful of financial empowerment. Besides all these inhibitions, they were able to witness a platform for skill set development that ignited them to enter into entrepreneurial domain. This paper epitomizes skill sets involved in trans-entrepreneurs of Thoothukudi Municipal Corporation of Tamil Nadu State and is a groundbreaking determination to sightsee various skills incorporated and the impact on entrepreneurship.
DETERMINANTS AFFECTING THE USER'S INTENTION TO USE MOBILE BANKING APPLICATIONSIAEME Publication
The banking and financial services industries are experiencing increased technology penetration. Among them, the banking industry has made technological advancements to better serve the general populace. The economy focused on transforming the banking sector's system into a cashless, paperless, and faceless one. The researcher wants to evaluate the user's intention for utilising a mobile banking application. The study also examines the variables affecting the user's behaviour intention when selecting specific applications for financial transactions. The researcher employed a well-structured questionnaire and a descriptive study methodology to gather the respondents' primary data utilising the snowball sampling technique. The study includes variables like performance expectations, effort expectations, social impact, enabling circumstances, and perceived risk. Each of the aforementioned variables has a major impact on how users utilise mobile banking applications. The outcome will assist the service provider in comprehending the user's history with mobile banking applications.
ANALYSE THE USER PREDILECTION ON GPAY AND PHONEPE FOR DIGITAL TRANSACTIONSIAEME Publication
Technology upgradation in banking sector took the economy to view that payment mode towards online transactions using mobile applications. This system enabled connectivity between banks, Merchant and user in a convenient mode. there are various applications used for online transactions such as Google pay, Paytm, freecharge, mobikiwi, oxygen, phonepe and so on and it also includes mobile banking applications. The study aimed at evaluating the predilection of the user in adopting digital transaction. The study is descriptive in nature. The researcher used random sample techniques to collect the data. The findings reveal that mobile applications differ with the quality of service rendered by Gpay and Phonepe. The researcher suggest the Phonepe application should focus on implementing the application should be user friendly interface and Gpay on motivating the users to feel the importance of request for money and modes of payments in the application.
VOICE BASED ATM FOR VISUALLY IMPAIRED USING ARDUINOIAEME Publication
The prototype of a voice-based ATM for visually impaired using Arduino is to help people who are blind. This uses RFID cards which contain users fingerprint encrypted on it and interacts with the users through voice commands. ATM operates when sensor detects the presence of one person in the cabin. After scanning the RFID card, it will ask to select the mode like –normal or blind. User can select the respective mode through voice input, if blind mode is selected the balance check or cash withdraw can be done through voice input. Normal mode procedure is same as the existing ATM.
IMPACT OF EMOTIONAL INTELLIGENCE ON HUMAN RESOURCE MANAGEMENT PRACTICES AMONG...IAEME Publication
There is increasing acceptability of emotional intelligence as a major factor in personality assessment and effective human resource management. Emotional intelligence as the ability to build capacity, empathize, co-operate, motivate and develop others cannot be divorced from both effective performance and human resource management systems. The human person is crucial in defining organizational leadership and fortunes in terms of challenges and opportunities and walking across both multinational and bilateral relationships. The growing complexity of the business world requires a great deal of self-confidence, integrity, communication, conflict and diversity management to keep the global enterprise within the paths of productivity and sustainability. Using the exploratory research design and 255 participants the result of this original study indicates strong positive correlation between emotional intelligence and effective human resource management. The paper offers suggestions on further studies between emotional intelligence and human capital development and recommends for conflict management as an integral part of effective human resource management.
VISUALISING AGING PARENTS & THEIR CLOSE CARERS LIFE JOURNEY IN AGING ECONOMYIAEME Publication
Our life journey, in general, is closely defined by the way we understand the meaning of why we coexist and deal with its challenges. As we develop the "inspiration economy", we could say that nearly all of the challenges we have faced are opportunities that help us to discover the rest of our journey. In this note paper, we explore how being faced with the opportunity of being a close carer for an aging parent with dementia brought intangible discoveries that changed our insight of the meaning of the rest of our life journey.
A STUDY ON THE IMPACT OF ORGANIZATIONAL CULTURE ON THE EFFECTIVENESS OF PERFO...IAEME Publication
The main objective of this study is to analyze the impact of aspects of Organizational Culture on the Effectiveness of the Performance Management System (PMS) in the Health Care Organization at Thanjavur. Organizational Culture and PMS play a crucial role in present-day organizations in achieving their objectives. PMS needs employees’ cooperation to achieve its intended objectives. Employees' cooperation depends upon the organization’s culture. The present study uses exploratory research to examine the relationship between the Organization's culture and the Effectiveness of the Performance Management System. The study uses a Structured Questionnaire to collect the primary data. For this study, Thirty-six non-clinical employees were selected from twelve randomly selected Health Care organizations at Thanjavur. Thirty-two fully completed questionnaires were received.
Living in 21st century in itself reminds all of us the necessity of police and its administration. As more and more we are entering into the modern society and culture, the more we require the services of the so called ‘Khaki Worthy’ men i.e., the police personnel. Whether we talk of Indian police or the other nation’s police, they all have the same recognition as they have in India. But as already mentioned, their services and requirements are different after the like 26th November, 2008 incidents, where they without saving their own lives has sacrificed themselves without any hitch and without caring about their respective family members and wards. In other words, they are like our heroes and mentors who can guide us from the darkness of fear, militancy, corruption and other dark sides of life and so on. Now the question arises, if Gandhi would have been alive today, what would have been his reaction/opinion to the police and its functioning? Would he have some thing different in his mind now what he had been in his mind before the partition or would he be going to start some Satyagraha in the form of some improvement in the functioning of the police administration? Really these questions or rather night mares can come to any one’s mind, when there is too much confusion is prevailing in our minds, when there is too much corruption in the society and when the polices working is also in the questioning because of one or the other case throughout the India. It is matter of great concern that we have to thing over our administration and our practical approach because the police personals are also like us, they are part and parcel of our society and among one of us, so why we all are pin pointing towards them.
A STUDY ON TALENT MANAGEMENT AND ITS IMPACT ON EMPLOYEE RETENTION IN SELECTED...IAEME Publication
The goal of this study was to see how talent management affected employee retention in the selected IT organizations in Chennai. The fundamental issue was the difficulty to attract, hire, and retain talented personnel who perform well and the gap between supply and demand of talent acquisition and retaining them within the firms. The study's main goals were to determine the impact of talent management on employee retention in IT companies in Chennai, investigate talent management strategies that IT companies could use to improve talent acquisition, performance management, career planning and formulate retention strategies that the IT firms could use. The respondents were given a structured close-ended questionnaire with the 5 Point Likert Scale as part of the study's quantitative research design. The target population consisted of 289 IT professionals. The questionnaires were distributed and collected by the researcher directly. The Statistical Package for Social Sciences (SPSS) was used to collect and analyse the questionnaire responses. Hypotheses that were formulated for the various areas of the study were tested using a variety of statistical tests. The key findings of the study suggested that talent management had an impact on employee retention. The studies also found that there is a clear link between the implementation of talent management and retention measures. Management should provide enough training and development for employees, clarify job responsibilities, provide adequate remuneration packages, and recognise employees for exceptional performance.
ATTRITION IN THE IT INDUSTRY DURING COVID-19 PANDEMIC: LINKING EMOTIONAL INTE...IAEME Publication
Globally, Millions of dollars were spent by the organizations for employing skilled Information Technology (IT) professionals. It is costly to replace unskilled employees with IT professionals possessing technical skills and competencies that aid in interconnecting the business processes. The organization’s employment tactics were forced to alter by globalization along with technological innovations as they consistently diminish to remain lean, outsource to concentrate on core competencies along with restructuring/reallocate personnel to gather efficiency. As other jobs, organizations or professions have become reasonably more appropriate in a shifting employment landscape, the above alterations trigger both involuntary as well as voluntary turnover. The employee view on jobs is also afflicted by the COVID-19 pandemic along with the employee-driven labour market. So, having effective strategies is necessary to tackle the withdrawal rate of employees. By associating Emotional Intelligence (EI) along with Talent Management (TM) in the IT industry, the rise in attrition rate was analyzed in this study. Only 303 respondents were collected out of 350 participants to whom questionnaires were distributed. From the employees of IT organizations located in Bangalore (India), the data were congregated. A simple random sampling methodology was employed to congregate data as of the respondents. Generating the hypothesis along with testing is eventuated. The effect of EI and TM along with regression analysis between TM and EI was analyzed. The outcomes indicated that employee and Organizational Performance (OP) were elevated by effective EI along with TM.
INFLUENCE OF TALENT MANAGEMENT PRACTICES ON ORGANIZATIONAL PERFORMANCE A STUD...IAEME Publication
By implementing talent management strategy, organizations would have the option to retain their skilled professionals while additionally working on their overall performance. It is the course of appropriately utilizing the ideal individuals, setting them up for future top positions, exploring and dealing with their performance, and holding them back from leaving the organization. It is employee performance that determines the success of every organization. The firm quickly obtains an upper hand over its rivals in the event that its employees having particular skills that cannot be duplicated by the competitors. Thus, firms are centred on creating successful talent management practices and processes to deal with the unique human resources. Firms are additionally endeavouring to keep their top/key staff since on the off chance that they leave; the whole store of information leaves the firm's hands. The study's objective was to determine the impact of talent management on organizational performance among the selected IT organizations in Chennai. The study recommends that talent management limitedly affects performance. On the off chance that this talent is appropriately management and implemented properly, organizations might benefit as much as possible from their maintained assets to support development and productivity, both monetarily and non-monetarily.
A STUDY OF VARIOUS TYPES OF LOANS OF SELECTED PUBLIC AND PRIVATE SECTOR BANKS...IAEME Publication
Banking regulations act of India, 1949 defines banking as “acceptance of deposits for the purpose of lending or investment from the public, repayment on demand or otherwise and withdrawable through cheques, drafts order or otherwise”, the major participants of the Indian financial system are commercial banks, the financial institution encompassing term lending institutions. Investments institutions, specialized financial institution and the state level development banks, non banking financial companies (NBFC) and other market intermediaries such has the stock brokers and money lenders are among the oldest of the certain variants of NBFC and the oldest market participants. The asset quality of banks is one of the most important indicators of their financial health. The Indian banking sector has been facing severe problems of increasing Non- Performing Assets (NPAs). The NPAs growth directly and indirectly affects the quality of assets and profitability of banks. It also shows the efficiency of banks credit risk management and the recovery effectiveness. NPA do not generate any income, whereas, the bank is required to make provisions for such as assets that why is a double edge weapon. This paper outlines the concept of quality of bank loans of different types like Housing, Agriculture and MSME loans in state Haryana of selected public and private sector banks. This study is highlighting problems associated with the role of commercial bank in financing Small and Medium Scale Enterprises (SME). The overall objective of the research was to assess the effect of the financing provisions existing for the setting up and operations of MSMEs in the country and to generate recommendations for more robust financing mechanisms for successful operation of the MSMEs, in turn understanding the impact of MSME loans on financial institutions due to NPA. There are many research conducted on the topic of Non- Performing Assets (NPA) Management, concerning particular bank, comparative study of public and private banks etc. In this paper the researcher is considering the aggregate data of selected public sector and private sector banks and attempts to compare the NPA of Housing, Agriculture and MSME loans in state Haryana of public and private sector banks. The tools used in the study are average and Anova test and variance. The findings reveal that NPA is common problem for both public and private sector banks and is associated with all types of loans either that is housing loans, agriculture loans and loans to SMES. NPAs of both public and private sector banks show the increasing trend. In 2010-11 GNPA of public and private sector were at same level it was 2% but after 2010-11 it increased in many fold and at present there is GNPA in some more than 15%. It shows the dark area of Indian banking sector.
EXPERIMENTAL STUDY OF MECHANICAL AND TRIBOLOGICAL RELATION OF NYLON/BaSO4 POL...IAEME Publication
An experiment conducted in this study found that BaSO4 changed Nylon 6's mechanical properties. By changing the weight ratios, BaSO4 was used to make Nylon 6. This Researcher looked into how hard Nylon-6/BaSO4 composites are and how well they wear. Experiments were done based on Taguchi design L9. Nylon-6/BaSO4 composites can be tested for their hardness number using a Rockwell hardness testing apparatus. On Nylon/BaSO4, the wear behavior was measured by a wear monitor, pinon-disc friction by varying reinforcement, sliding speed, and sliding distance, and the microstructure of the crack surfaces was observed by SEM. This study provides significant contributions to ultimate strength by increasing BaSO4 content up to 16% in the composites, and sliding speed contributes 72.45% to the wear rate
ROLE OF SOCIAL ENTREPRENEURSHIP IN RURAL DEVELOPMENT OF INDIA - PROBLEMS AND ...IAEME Publication
The majority of the population in India lives in villages. The village is the back bone of the country. Village or rural industries play an important role in the national economy, particularly in the rural development. Developing the rural economy is one of the key indicators towards a country’s success. Whether it be the need to look after the welfare of the farmers or invest in rural infrastructure, Governments have to ensure that rural development isn’t compromised. The economic development of our country largely depends on the progress of rural areas and the standard of living of rural masses. Village or rural industries play an important role in the national economy, particularly in the rural development. Rural entrepreneurship is based on stimulating local entrepreneurial talent and the subsequent growth of indigenous enterprises. It recognizes opportunity in the rural areas and accelerates a unique blend of resources either inside or outside of agriculture. Rural entrepreneurship brings an economic value to the rural sector by creating new methods of production, new markets, new products and generate employment opportunities thereby ensuring continuous rural development. Social Entrepreneurship has the direct and primary objective of serving the society along with the earning profits. So, social entrepreneurship is different from the economic entrepreneurship as its basic objective is not to earn profits but for providing innovative solutions to meet the society needs which are not taken care by majority of the entrepreneurs as they are in the business for profit making as a sole objective. So, the Social Entrepreneurs have the huge growth potential particularly in the developing countries like India where we have huge societal disparities in terms of the financial positions of the population. Still 22 percent of the Indian population is below the poverty line and also there is disparity among the rural & urban population in terms of families living under BPL. 25.7 percent of the rural population & 13.7 percent of the urban population is under BPL which clearly shows the disparity of the poor people in the rural and urban areas. The need to develop social entrepreneurship in agriculture is dictated by a large number of social problems. Such problems include low living standards, unemployment, and social tension. The reasons that led to the emergence of the practice of social entrepreneurship are the above factors. The research problem lays upon disclosing the importance of role of social entrepreneurship in rural development of India. The paper the tendencies of social entrepreneurship in India, to present successful examples of such business for providing recommendations how to improve situation in rural areas in terms of social entrepreneurship development. Indian government has made some steps towards development of social enterprises, social entrepreneurship, and social in- novation, but a lot remains to be improved.
OPTIMAL RECONFIGURATION OF POWER DISTRIBUTION RADIAL NETWORK USING HYBRID MET...IAEME Publication
Distribution system is a critical link between the electric power distributor and the consumers. Most of the distribution networks commonly used by the electric utility is the radial distribution network. However in this type of network, it has technical issues such as enormous power losses which affect the quality of the supply. Nowadays, the introduction of Distributed Generation (DG) units in the system help improve and support the voltage profile of the network as well as the performance of the system components through power loss mitigation. In this study network reconfiguration was done using two meta-heuristic algorithms Particle Swarm Optimization and Gravitational Search Algorithm (PSO-GSA) to enhance power quality and voltage profile in the system when simultaneously applied with the DG units. Backward/Forward Sweep Method was used in the load flow analysis and simulated using the MATLAB program. Five cases were considered in the Reconfiguration based on the contribution of DG units. The proposed method was tested using IEEE 33 bus system. Based on the results, there was a voltage profile improvement in the system from 0.9038 p.u. to 0.9594 p.u.. The integration of DG in the network also reduced power losses from 210.98 kW to 69.3963 kW. Simulated results are drawn to show the performance of each case.
APPLICATION OF FRUGAL APPROACH FOR PRODUCTIVITY IMPROVEMENT - A CASE STUDY OF...IAEME Publication
Manufacturing industries have witnessed an outburst in productivity. For productivity improvement manufacturing industries are taking various initiatives by using lean tools and techniques. However, in different manufacturing industries, frugal approach is applied in product design and services as a tool for improvement. Frugal approach contributed to prove less is more and seems indirectly contributing to improve productivity. Hence, there is need to understand status of frugal approach application in manufacturing industries. All manufacturing industries are trying hard and putting continuous efforts for competitive existence. For productivity improvements, manufacturing industries are coming up with different effective and efficient solutions in manufacturing processes and operations. To overcome current challenges, manufacturing industries have started using frugal approach in product design and services. For this study, methodology adopted with both primary and secondary sources of data. For primary source interview and observation technique is used and for secondary source review has done based on available literatures in website, printed magazines, manual etc. An attempt has made for understanding application of frugal approach with the study of manufacturing industry project. Manufacturing industry selected for this project study is Mahindra and Mahindra Ltd. This paper will help researcher to find the connections between the two concepts productivity improvement and frugal approach. This paper will help to understand significance of frugal approach for productivity improvement in manufacturing industry. This will also help to understand current scenario of frugal approach in manufacturing industry. In manufacturing industries various process are involved to deliver the final product. In the process of converting input in to output through manufacturing process productivity plays very critical role. Hence this study will help to evolve status of frugal approach in productivity improvement programme. The notion of frugal can be viewed as an approach towards productivity improvement in manufacturing industries.
A MULTIPLE – CHANNEL QUEUING MODELS ON FUZZY ENVIRONMENTIAEME Publication
In this paper, we investigated a queuing model of fuzzy environment-based a multiple channel queuing model (M/M/C) ( /FCFS) and study its performance under realistic conditions. It applies a nonagonal fuzzy number to analyse the relevant performance of a multiple channel queuing model (M/M/C) ( /FCFS). Based on the sub interval average ranking method for nonagonal fuzzy number, we convert fuzzy number to crisp one. Numerical results reveal that the efficiency of this method. Intuitively, the fuzzy environment adapts well to a multiple channel queuing models (M/M/C) ( /FCFS) are very well.
What is an RPA CoE? Session 1 – CoE VisionDianaGray10
In the first session, we will review the organization's vision and how this has an impact on the COE Structure.
Topics covered:
• The role of a steering committee
• How do the organization’s priorities determine CoE Structure?
Speaker:
Chris Bolin, Senior Intelligent Automation Architect Anika Systems
HCL Notes and Domino License Cost Reduction in the World of DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
Your One-Stop Shop for Python Success: Top 10 US Python Development Providersakankshawande
Simplify your search for a reliable Python development partner! This list presents the top 10 trusted US providers offering comprehensive Python development services, ensuring your project's success from conception to completion.
Freshworks Rethinks NoSQL for Rapid Scaling & Cost-EfficiencyScyllaDB
Freshworks creates AI-boosted business software that helps employees work more efficiently and effectively. Managing data across multiple RDBMS and NoSQL databases was already a challenge at their current scale. To prepare for 10X growth, they knew it was time to rethink their database strategy. Learn how they architected a solution that would simplify scaling while keeping costs under control.
Dandelion Hashtable: beyond billion requests per second on a commodity serverAntonios Katsarakis
This slide deck presents DLHT, a concurrent in-memory hashtable. Despite efforts to optimize hashtables, that go as far as sacrificing core functionality, state-of-the-art designs still incur multiple memory accesses per request and block request processing in three cases. First, most hashtables block while waiting for data to be retrieved from memory. Second, open-addressing designs, which represent the current state-of-the-art, either cannot free index slots on deletes or must block all requests to do so. Third, index resizes block every request until all objects are copied to the new index. Defying folklore wisdom, DLHT forgoes open-addressing and adopts a fully-featured and memory-aware closed-addressing design based on bounded cache-line-chaining. This design offers lock-free index operations and deletes that free slots instantly, (2) completes most requests with a single memory access, (3) utilizes software prefetching to hide memory latencies, and (4) employs a novel non-blocking and parallel resizing. In a commodity server and a memory-resident workload, DLHT surpasses 1.6B requests per second and provides 3.5x (12x) the throughput of the state-of-the-art closed-addressing (open-addressing) resizable hashtable on Gets (Deletes).
Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.
AppSec PNW: Android and iOS Application Security with MobSFAjin Abraham
Mobile Security Framework - MobSF is a free and open source automated mobile application security testing environment designed to help security engineers, researchers, developers, and penetration testers to identify security vulnerabilities, malicious behaviours and privacy concerns in mobile applications using static and dynamic analysis. It supports all the popular mobile application binaries and source code formats built for Android and iOS devices. In addition to automated security assessment, it also offers an interactive testing environment to build and execute scenario based test/fuzz cases against the application.
This talk covers:
Using MobSF for static analysis of mobile applications.
Interactive dynamic security assessment of Android and iOS applications.
Solving Mobile app CTF challenges.
Reverse engineering and runtime analysis of Mobile malware.
How to shift left and integrate MobSF/mobsfscan SAST and DAST in your build pipeline.
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdfChart Kalyan
A Mix Chart displays historical data of numbers in a graphical or tabular form. The Kalyan Rajdhani Mix Chart specifically shows the results of a sequence of numbers over different periods.
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
Generating privacy-protected synthetic data using Secludy and MilvusZilliz
During this demo, the founders of Secludy will demonstrate how their system utilizes Milvus to store and manipulate embeddings for generating privacy-protected synthetic data. Their approach not only maintains the confidentiality of the original data but also enhances the utility and scalability of LLMs under privacy constraints. Attendees, including machine learning engineers, data scientists, and data managers, will witness first-hand how Secludy's integration with Milvus empowers organizations to harness the power of LLMs securely and efficiently.
Fueling AI with Great Data with Airbyte WebinarZilliz
This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.