This document discusses different network topologies including linear bus, star, tree, and ring. It provides details on the characteristics and advantages/disadvantages of each topology type. Specifically, it defines what a topology is, describes the main types of physical topologies used in networks (linear bus, star, tree), and discusses considerations when choosing a topology such as the 5-4-3 rule. Ring topology is also summarized briefly at the end.
Evolutionary algorithms for optimum design of thin broadband multilayer micro...eSAT Journals
Abstract In this paper we focused on the comparative study of three very popular and most recently developed nature inspired evolutionary algorithms namely Biogeography based optimization algorithm (BBO), Flower pollination algorithm (FPA) and Artificial bee colony optimization algorithm (ABC) for developing a model of 6 layers thin broadband (0.2-20GHz) microwave absorber. The model is optimized for oblique wide angle of incidence (450, 600) taking both TE and TM polarization of the electromagnetic wave under consideration. The primary goal of our design is to minimizing the overall reflection coefficient of the absorber and its total thickness by selecting the proper layer of materials from a predefined database of existing materials. 8 different models are presented and synthesize considering both these design consideration simultaneously and for only overall reflection coefficient of the absorber while total thickness is not taken into consideration during optimization for each cases. The optimum values of all the significant parameters of the multilayer absorber for different models have been compared and tabulated using BBO, FPA and ABC algorithms which established the superiority of our proposed design. Keywords: Multilayer microwave absorber, Oblique incidence, Broadband, Evolutionary algorithms, Arbitrary polarization
What is network ? Networks categories LAN(local area network), MAN(metropolitan area network), WAN(wide area network) and Topologies like Star topology, Ring topology, Bus Topology, Mesh Topology. Advantage and disadvantages of star topology, Advantage and disadvantages of ring topology, Advantage and disadvantages of bus topology, Advantage and disadvantages of mesh topolog.,
Evolutionary algorithms for optimum design of thin broadband multilayer micro...eSAT Journals
Abstract In this paper we focused on the comparative study of three very popular and most recently developed nature inspired evolutionary algorithms namely Biogeography based optimization algorithm (BBO), Flower pollination algorithm (FPA) and Artificial bee colony optimization algorithm (ABC) for developing a model of 6 layers thin broadband (0.2-20GHz) microwave absorber. The model is optimized for oblique wide angle of incidence (450, 600) taking both TE and TM polarization of the electromagnetic wave under consideration. The primary goal of our design is to minimizing the overall reflection coefficient of the absorber and its total thickness by selecting the proper layer of materials from a predefined database of existing materials. 8 different models are presented and synthesize considering both these design consideration simultaneously and for only overall reflection coefficient of the absorber while total thickness is not taken into consideration during optimization for each cases. The optimum values of all the significant parameters of the multilayer absorber for different models have been compared and tabulated using BBO, FPA and ABC algorithms which established the superiority of our proposed design. Keywords: Multilayer microwave absorber, Oblique incidence, Broadband, Evolutionary algorithms, Arbitrary polarization
What is network ? Networks categories LAN(local area network), MAN(metropolitan area network), WAN(wide area network) and Topologies like Star topology, Ring topology, Bus Topology, Mesh Topology. Advantage and disadvantages of star topology, Advantage and disadvantages of ring topology, Advantage and disadvantages of bus topology, Advantage and disadvantages of mesh topolog.,
Analysis on The Impact of Reflectance in Optical Fiber Linksijtsrd
An optical fiber link is a part of an optic fiber communication system. Other components of the optic fiber link include the transmitter, connectors, and the receiver. The optical fiber could be single-mode (for long distance transmission) or multi-mode (for short distance transmission). This paper however, majors on the impact of reflectance in the single-mode optical fiber. Reflectance is a hidden threat that increases Bit Error Rate, BER, (rate at which errors occur in transmission system) and reduces system performance if not monitored or controlled. Optical Time Domain Reflectometer (OTDR) was used to measure the reflectance in single-mode fiber. Events measurements in OTDR heavily depend on good reflectance. The OTDR was able to establish the reflectance in every portion of the fiber under test. An average reflectance level of -14.9275 dB of 1550 nm signal over the span length of 20.422 km was achieved which is within the acceptable standard range. Hence, good quality performance transmissions can be achieved along these routes. J. Ilouno | M. Awoji | J. Sani"Analysis on The Impact of Reflectance in Optical Fiber Links" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-4 , June 2018, URL: http://www.ijtsrd.com/papers/ijtsrd14378.pdf http://www.ijtsrd.com/physics/other/14378/analysis-on-the-impact-of-reflectance-in-optical-fiber-links/j-ilouno
Ameliorate Threshold Distributed Energy Efficient Clustering Algorithm for He...chokrio
Ameliorating the lifetime in heterogeneous wireless sensor network is an important task because the sensor nodes are limited in the resource energy. The best way to improve a WSN lifetime is the clustering based algorithms in which each cluster is managed by a leader called Cluster Head. Each other node must communicate with this CH to send the data sensing. The nearest base station nodes must also send their data to their leaders, this causes a loss of energy. In this paper, we propose a new approach to ameliorate a threshold distributed energy efficient clustering protocol for heterogeneous wireless sensor networks by excluding closest nodes to the base station in the clustering process. We show by simulation in MATLAB that the proposed approach increases obviously the number of the received packet messages and prolongs the lifetime of the network compared to TDEEC protocol.
Aiming at the problem that existing femtocell base station searching the optimal clustering scheme based on the clustering resource allocation algorithm is complex. We propose that building an conflict graph and adjacency matrix before clustering to calculate the number of clusters needed for FBS group by using the adaptive clustering heuristic algorithm. We follow maximization the sum of the FBS distances in the cluster and group the femtocell base stations to narrow the search range to reduce the computational complexity. In order to achieve different business types service, based on the above clustering algorithm, this paper proposes a new method that using the weighted energy efficiency, which including the user interruption and the network spectral efficiency as a fitness function of the power control scheme to solve the problem. The simulation results show that the same rate requirement reduces the complexity, while the same complexity increases the user's average rate.
A NEW TECHNIQUE INVOLVING DATA MINING IN PROTEIN SEQUENCE CLASSIFICATIONcscpconf
Feature selection is more accurate technique in protein sequence classification. Researchers apply some well-known classification techniques like neural networks, Genetic algorithm, Fuzzy ARTMAP, Rough Set Classifier etc for extracting features.This paper presents a review is with
three different classification models such as fuzzy ARTMAP model, neural network model and Rough set classifier model.This is followed by a new technique for classifying protein
sequences.The proposed model is typically implemented with an own designed tool using JAVA and tries to prove that it reduce the computational overheads encountered by earlier
approaches and also increase the accuracy of classification.
A review on power quality disturbance classification using deep learning appr...MuskanRath1
Disclaimer:- This has been published as an article for informational purposes and includes reference to the research papers of researchers. Please let me know if I haven't included your research which matches a portion of the article, in the reference section. I would include the link to your research in the description section.
Description:-
Power Quality is a significant branch of power system engineering and plays a crucial role in maintaining the power quality supplied to consumers in the industry. The introduction of smart grids further differentiates the significance of power output. A single incident in power quality such as voltage drop triggered by a transmission or distribution level failure will cost up to millions of monetary losses for the affected industries. Power Quality disturbances can be classified into Voltage sag, Voltage Swell, Transient, Harmonic, Voltage Notch, and Flicker. With the help of digital techniques, at present, Power Quality disturbances are tracked on-site and online. The primary objective of the paper is to provide a thorough overview of the approaches in deep learning for the automatic detection, identification and classification of Power Quality Events, related to academics following a line of investigation in the related area. The paper furthermore gives insight on which of the techniques yields the highest accuracy.
Advancement in wireless communications lead more and more mobile wireless networks e.g.,
mobile networks [mobile ad hoc networks (MANETs)], wireless sensor networks, etc. Some of
the challenges in MANET include: Dynamic network topology, Speed, Bandwidth, computation
capability, Scalability, Quality of service, Secure and Reliable routing. One of the most
important challenges in mobile wireless networks is the Secure and reliable routing and the
main characteristic of MANET with respect to security is the lack of clear line of defence.
Therefore, the SP routing problem in MANET turns into dynamic optimization problem. In this
paper, a path detection algorithm and a model to detect intruders that is misbehaving nodes in
the alternative paths is proposed.
The layout pattern of the interconnections between devices in a network is called network topology.
There are a number of different types of network topologies, including point-to-point, bus, star, ring, mesh, tree and hybrid.
Network media is the actual path over which an electrical signal travels as it moves from one component to another.
Optimal Load Shedding Using an Ensemble of Artifcial Neural NetworksKashif Mehmood
Optimal load shedding is a very critical issue in power systems. It plays a vital role, especially in third world countries.
A sudden increase in load can affect the important parameters of the power system like voltage, frequency and phase angle. This
paper presents a case study of Pakistan’s power system, where the generated power, the load demand, frequency deviation and load
shedding during a 24-hour period have been provided. An artifcial neural network ensemble is aimed for optimal load shedding.
The objective of this paper is to maintain power system frequency stability by shedding an accurate amount of load. Due to its fast
convergence and improved generalization ability, the proposed algorithm helps to deal with load shedding in an efcient manner.
TERRIAN IDENTIFICATION USING CO-CLUSTERED MODEL OF THE SWARM INTELLEGENCE & S...cscpconf
A digital image is nothing more than data -- numbers indicating variations of red, green, and
blue at a particular location on a grid of pixels. Clustering is the process of assigning data
objects into a set of disjoint groups called clusters so that objects in each cluster are more
similar to each other than objects from different clusters. Clustering techniques are applied in
many application areas such as pattern recognition, data mining, machine learning, etc.
Clustering algorithms can be broadly classified as Hard, Fuzzy, Possibility, and Probabilistic .Kmeans
is one of the most popular hard clustering algorithms which partitions data objects into k
clusters where the number of clusters, k, is decided in advance according to application
purposes. This model is inappropriate for real data sets in which there are no definite boundaries
between the clusters. After the fuzzy theory introduced by Lotfi Zadeh, the researchers put the
fuzzy theory into clustering. Fuzzy algorithms can assign data object partially to multiple
clusters. The degree of membership in the fuzzy clusters depends on the closeness of the data
object to the cluster centers. The most popular fuzzy clustering algorithm is fuzzy c-means (FCM)
which introduced by Bezdek in 1974 and now it is widely used. Fuzzy c-means clustering is an
effective algorithm, but the random selection in center points makes iterative process falling into
the local optimal solution easily. For solving this problem, recently evolutionary algorithms such
as genetic algorithm (GA), simulated annealing (SA), ant colony optimization (ACO) , and particle swarm optimization (PSO) have been successfully applied.
Human Rights Fracture in Context--Differences in Approaches to Realizing Huma...Larry Catá Backer
The early fracture of the unity of human rights in the Universal Declaration of Human Rights into a focus on social economic and cultural rights on the one hand, and on political and civil rights on the other has deep implications for the focus and practice of human rights in context, especially within home states in multinational enterprise supply chain systems. These differences are more pronounced where the political context of home states may be different from accepted forms common in developed states. This is particularly the case with two of the most important emerging states--India and China. India provides an example of the approach to human rights protection in which economic and social rights are vindicated through the application of political and civil rights within a state in which individual rights are understood as constraints against state power and courts serve a critical mediating role. In China, on the other hand, civil and political rights are vindicated through the state and its role in ensuring the provision of social, economic and cultural rights through the administrative apparatus of the state, within a state in which individual welfare is understood as a core obligation fo the state to be vindicated through governmental action. These differences have important ramification for the way in which international human rights frameworks, like the UN Guiding Principles, may be successfully transposed in context. These are explored in the paper through examples from both states.
Analysis on The Impact of Reflectance in Optical Fiber Linksijtsrd
An optical fiber link is a part of an optic fiber communication system. Other components of the optic fiber link include the transmitter, connectors, and the receiver. The optical fiber could be single-mode (for long distance transmission) or multi-mode (for short distance transmission). This paper however, majors on the impact of reflectance in the single-mode optical fiber. Reflectance is a hidden threat that increases Bit Error Rate, BER, (rate at which errors occur in transmission system) and reduces system performance if not monitored or controlled. Optical Time Domain Reflectometer (OTDR) was used to measure the reflectance in single-mode fiber. Events measurements in OTDR heavily depend on good reflectance. The OTDR was able to establish the reflectance in every portion of the fiber under test. An average reflectance level of -14.9275 dB of 1550 nm signal over the span length of 20.422 km was achieved which is within the acceptable standard range. Hence, good quality performance transmissions can be achieved along these routes. J. Ilouno | M. Awoji | J. Sani"Analysis on The Impact of Reflectance in Optical Fiber Links" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-4 , June 2018, URL: http://www.ijtsrd.com/papers/ijtsrd14378.pdf http://www.ijtsrd.com/physics/other/14378/analysis-on-the-impact-of-reflectance-in-optical-fiber-links/j-ilouno
Ameliorate Threshold Distributed Energy Efficient Clustering Algorithm for He...chokrio
Ameliorating the lifetime in heterogeneous wireless sensor network is an important task because the sensor nodes are limited in the resource energy. The best way to improve a WSN lifetime is the clustering based algorithms in which each cluster is managed by a leader called Cluster Head. Each other node must communicate with this CH to send the data sensing. The nearest base station nodes must also send their data to their leaders, this causes a loss of energy. In this paper, we propose a new approach to ameliorate a threshold distributed energy efficient clustering protocol for heterogeneous wireless sensor networks by excluding closest nodes to the base station in the clustering process. We show by simulation in MATLAB that the proposed approach increases obviously the number of the received packet messages and prolongs the lifetime of the network compared to TDEEC protocol.
Aiming at the problem that existing femtocell base station searching the optimal clustering scheme based on the clustering resource allocation algorithm is complex. We propose that building an conflict graph and adjacency matrix before clustering to calculate the number of clusters needed for FBS group by using the adaptive clustering heuristic algorithm. We follow maximization the sum of the FBS distances in the cluster and group the femtocell base stations to narrow the search range to reduce the computational complexity. In order to achieve different business types service, based on the above clustering algorithm, this paper proposes a new method that using the weighted energy efficiency, which including the user interruption and the network spectral efficiency as a fitness function of the power control scheme to solve the problem. The simulation results show that the same rate requirement reduces the complexity, while the same complexity increases the user's average rate.
A NEW TECHNIQUE INVOLVING DATA MINING IN PROTEIN SEQUENCE CLASSIFICATIONcscpconf
Feature selection is more accurate technique in protein sequence classification. Researchers apply some well-known classification techniques like neural networks, Genetic algorithm, Fuzzy ARTMAP, Rough Set Classifier etc for extracting features.This paper presents a review is with
three different classification models such as fuzzy ARTMAP model, neural network model and Rough set classifier model.This is followed by a new technique for classifying protein
sequences.The proposed model is typically implemented with an own designed tool using JAVA and tries to prove that it reduce the computational overheads encountered by earlier
approaches and also increase the accuracy of classification.
A review on power quality disturbance classification using deep learning appr...MuskanRath1
Disclaimer:- This has been published as an article for informational purposes and includes reference to the research papers of researchers. Please let me know if I haven't included your research which matches a portion of the article, in the reference section. I would include the link to your research in the description section.
Description:-
Power Quality is a significant branch of power system engineering and plays a crucial role in maintaining the power quality supplied to consumers in the industry. The introduction of smart grids further differentiates the significance of power output. A single incident in power quality such as voltage drop triggered by a transmission or distribution level failure will cost up to millions of monetary losses for the affected industries. Power Quality disturbances can be classified into Voltage sag, Voltage Swell, Transient, Harmonic, Voltage Notch, and Flicker. With the help of digital techniques, at present, Power Quality disturbances are tracked on-site and online. The primary objective of the paper is to provide a thorough overview of the approaches in deep learning for the automatic detection, identification and classification of Power Quality Events, related to academics following a line of investigation in the related area. The paper furthermore gives insight on which of the techniques yields the highest accuracy.
Advancement in wireless communications lead more and more mobile wireless networks e.g.,
mobile networks [mobile ad hoc networks (MANETs)], wireless sensor networks, etc. Some of
the challenges in MANET include: Dynamic network topology, Speed, Bandwidth, computation
capability, Scalability, Quality of service, Secure and Reliable routing. One of the most
important challenges in mobile wireless networks is the Secure and reliable routing and the
main characteristic of MANET with respect to security is the lack of clear line of defence.
Therefore, the SP routing problem in MANET turns into dynamic optimization problem. In this
paper, a path detection algorithm and a model to detect intruders that is misbehaving nodes in
the alternative paths is proposed.
The layout pattern of the interconnections between devices in a network is called network topology.
There are a number of different types of network topologies, including point-to-point, bus, star, ring, mesh, tree and hybrid.
Network media is the actual path over which an electrical signal travels as it moves from one component to another.
Optimal Load Shedding Using an Ensemble of Artifcial Neural NetworksKashif Mehmood
Optimal load shedding is a very critical issue in power systems. It plays a vital role, especially in third world countries.
A sudden increase in load can affect the important parameters of the power system like voltage, frequency and phase angle. This
paper presents a case study of Pakistan’s power system, where the generated power, the load demand, frequency deviation and load
shedding during a 24-hour period have been provided. An artifcial neural network ensemble is aimed for optimal load shedding.
The objective of this paper is to maintain power system frequency stability by shedding an accurate amount of load. Due to its fast
convergence and improved generalization ability, the proposed algorithm helps to deal with load shedding in an efcient manner.
TERRIAN IDENTIFICATION USING CO-CLUSTERED MODEL OF THE SWARM INTELLEGENCE & S...cscpconf
A digital image is nothing more than data -- numbers indicating variations of red, green, and
blue at a particular location on a grid of pixels. Clustering is the process of assigning data
objects into a set of disjoint groups called clusters so that objects in each cluster are more
similar to each other than objects from different clusters. Clustering techniques are applied in
many application areas such as pattern recognition, data mining, machine learning, etc.
Clustering algorithms can be broadly classified as Hard, Fuzzy, Possibility, and Probabilistic .Kmeans
is one of the most popular hard clustering algorithms which partitions data objects into k
clusters where the number of clusters, k, is decided in advance according to application
purposes. This model is inappropriate for real data sets in which there are no definite boundaries
between the clusters. After the fuzzy theory introduced by Lotfi Zadeh, the researchers put the
fuzzy theory into clustering. Fuzzy algorithms can assign data object partially to multiple
clusters. The degree of membership in the fuzzy clusters depends on the closeness of the data
object to the cluster centers. The most popular fuzzy clustering algorithm is fuzzy c-means (FCM)
which introduced by Bezdek in 1974 and now it is widely used. Fuzzy c-means clustering is an
effective algorithm, but the random selection in center points makes iterative process falling into
the local optimal solution easily. For solving this problem, recently evolutionary algorithms such
as genetic algorithm (GA), simulated annealing (SA), ant colony optimization (ACO) , and particle swarm optimization (PSO) have been successfully applied.
Human Rights Fracture in Context--Differences in Approaches to Realizing Huma...Larry Catá Backer
The early fracture of the unity of human rights in the Universal Declaration of Human Rights into a focus on social economic and cultural rights on the one hand, and on political and civil rights on the other has deep implications for the focus and practice of human rights in context, especially within home states in multinational enterprise supply chain systems. These differences are more pronounced where the political context of home states may be different from accepted forms common in developed states. This is particularly the case with two of the most important emerging states--India and China. India provides an example of the approach to human rights protection in which economic and social rights are vindicated through the application of political and civil rights within a state in which individual rights are understood as constraints against state power and courts serve a critical mediating role. In China, on the other hand, civil and political rights are vindicated through the state and its role in ensuring the provision of social, economic and cultural rights through the administrative apparatus of the state, within a state in which individual welfare is understood as a core obligation fo the state to be vindicated through governmental action. These differences have important ramification for the way in which international human rights frameworks, like the UN Guiding Principles, may be successfully transposed in context. These are explored in the paper through examples from both states.
Information and knowledge are decisive in human development. Since the industrial revolution, information architecture designed on the principles of industrial economy has been predominant in the functioning of the society. The technological advances in Internet and Telecommunications within the society aided the shift from industrial economy to a services based economy are creating a foundation for a new order of information and knowledge access, control and transfer. The implications on the functioning of the governments, corporations and society notwithstanding, remains uncertain if these forces will lead to strengthening the order of information feudalism or would they create conditions for decentralization and diffusion of information resources creating a new order of social production and exchange at the core of the economy rather than the periphery . We examine the implications of these structural changes on the governments, private corporations and society in the context of emerging economies.
Computer Network Topology By Team_Empowerment Ensemble (Dept . of Sociology)Suman Mia
Network topology is the arrangement of the elements of a communication network. Network topology can be used to define or describe the arrangement of various types of telecommunication networks, including command and control radio networks, industrial fieldbuses and computer networks. Network topology is the topological structure of a network and may be depicted physically or logicallyIt is an application of graph theory, wherein communicating devices are modeled as nodes and the connections between the devices are modeled as links or lines between the nodes .Examples of network topologies are found in local area networks (LAN), a common computer network installation. A wide variety of physical topologies have been used in LANs, including ring, bus, mesh , star and point to point
Computer Network Topology By Team_Culture Crusade (Dept . of Sociology)Suman Mia
Network topology refers to the physical and logical arrangement of devices within a computer network. Understanding different network topologies is crucial for designing efficient and reliable communication systems.
Computer Network Topology By Team_ Paramount (Dept. English)Suman Mia
A network topology is the physical and logical arrangement of nodes and connections in a network.
Nodes usually include devices such as switches, routers and software with switch and router features. Network topologies are often represented as a graph.
Computer Network Topology By Team_Metrolife(Dept. English)Suman Mia
Network topologies describe the ways in which the elements of a network are mapped. They describe the physical and logical arrangement of the network nodes.
This document consists of network topologies in computer networking. It entails star, ring, mesh, bus, tree, and hybrid topologies. Their advantages and disadvantages of each topology discussed in detail above.
A tale of scale & speed: How the US Navy is enabling software delivery from l...sonjaschweigert1
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
How to Get CNIC Information System with Paksim Ga.pptxdanishmna97
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
20 Comprehensive Checklist of Designing and Developing a WebsitePixlogix Infotech
Dive into the world of Website Designing and Developing with Pixlogix! Looking to create a stunning online presence? Look no further! Our comprehensive checklist covers everything you need to know to craft a website that stands out. From user-friendly design to seamless functionality, we've got you covered. Don't miss out on this invaluable resource! Check out our checklist now at Pixlogix and start your journey towards a captivating online presence today.
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...Neo4j
Leonard Jayamohan, Partner & Generative AI Lead, Deloitte
This keynote will reveal how Deloitte leverages Neo4j’s graph power for groundbreaking digital twin solutions, achieving a staggering 100x performance boost. Discover the essential role knowledge graphs play in successful generative AI implementations. Plus, get an exclusive look at an innovative Neo4j + Generative AI solution Deloitte is developing in-house.
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
Full-RAG: A modern architecture for hyper-personalizationZilliz
Mike Del Balso, CEO & Co-Founder at Tecton, presents "Full RAG," a novel approach to AI recommendation systems, aiming to push beyond the limitations of traditional models through a deep integration of contextual insights and real-time data, leveraging the Retrieval-Augmented Generation architecture. This talk will outline Full RAG's potential to significantly enhance personalization, address engineering challenges such as data management and model training, and introduce data enrichment with reranking as a key solution. Attendees will gain crucial insights into the importance of hyperpersonalization in AI, the capabilities of Full RAG for advanced personalization, and strategies for managing complex data integrations for deploying cutting-edge AI solutions.
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024Neo4j
Neha Bajwa, Vice President of Product Marketing, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfMalak Abu Hammad
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
Essentials of Automations: The Art of Triggers and Actions in FME
Topology
1. What is a Topology?
The physical topology of a network refers to the configuration of cables,
computers, and other peripherals. Physical topology should not be confused with
logical topology which is the method used to pass information between
workstations. Logical topology was discussed in the Protocol chapter.
Main Types of Physical Topologies
The following sections discuss the physical topologies used in networks and other
related topics.
Linear Bus
Star
Tree (Expanded Star)
Considerations When Choosing a Topology
Summary Chart
Linear Bus
A linear bus topology consists of a main run of cable with a terminator at each end
(See fig. 1). All nodes (file server, workstations, and peripherals) are connected to
the linear cable.
Fig. 1. Linear Bus topology
Advantages of a Linear Bus Topology
Easy to connect a computer or peripheral to a linear bus.
Requires less cable length than a star topology.
Disadvantages of a Linear Bus Topology
Entire network shuts down if there is a break in the main cable.
Terminators are required at both ends of the backbone cable.
2. Difficult to identify the problem if the entire network shuts down.
Not meant to be used as a stand-alone solution in a large building.
Star
A star topology is designed with each node (file server, workstations, and
peripherals) connected directly to a central network hub, switch, or concentrator
(See fig. 2).
Data on a star network passes through the hub, switch, or concentrator before
continuing to its destination. The hub, switch, or concentrator manages and
controls all functions of the network. It also acts as a repeater for the data flow.
This configuration is common with twisted pair cable; however, it can also be used
with coaxial cable or fiber optic cable.
Fig. 2. Star topology
Advantages of a Star Topology
Easy to install and wire.
No disruptions to the network when connecting or removing devices.
Easy to detect faults and to remove parts.
Disadvantages of a Star Topology
Requires more cable length than a linear topology.
If the hub, switch, or concentrator fails, nodes attached are disabled.
More expensive than linear bus topologies because of the cost of the hubs,
etc.
3. Tree or Expanded Star
A tree topology combines characteristics of linear bus and star topologies. It
consists of groups of star-configured workstations connected to a linear bus
backbone cable (See fig. 3). Tree topologies allow for the expansion of an existing
network, and enable schools to configure a network to meet their needs.
Fig. 3. Tree topology
Advantages of a Tree Topology
Point-to-point wiring for individual segments.
Supported by several hardware and software venders.
Disadvantages of a Tree Topology
Overall length of each segment is limited by the type of cabling used.
If the backbone line breaks, the entire segment goes down.
More difficult to configure and wire than other topologies.
5-4-3 Rule
A consideration in setting up a tree topology using Ethernet protocol is the 5-4-3
rule. One aspect of the Ethernet protocol requires that a signal sent out on the
network cable reach every part of the network within a specified length of time.
Each concentrator or repeater that a signal goes through adds a small amount of
4. time. This leads to the rule that between any two nodes on the network there can
only be a maximum of 5 segments, connected through 4 repeaters/concentrators. In
addition, only 3 of the segments may be populated (trunk) segments if they are
made of coaxial cable. A populated segment is one that has one or more nodes
attached to it . In Figure 4, the 5-4-3 rule is adhered to. The furthest two nodes on
the network have 4 segments and 3 repeaters/concentrators between them.
NOTE: This rule does not apply to other network protocols or Ethernet networks
where all fiber optic cabling or a combination of a fiber backbone with UTP
cabling is used. If there is a combination of fiber optic backbone and UTP cabling,
the rule would translate to a 7-6-5 rule.The speed of networking switches is vastly
improved over older technologies, and while every effort should be made to limit
network segment traversal, efficient switching can allow much larger numbers of
segments to be traversed with little or no impact to the network
Ring topology
A ring network is a network topology in which each node connects to exactly two other nodes,
forming a single continuous pathway for signals through each node - a ring. Data travels from node to
node, with each node along the way handling every packet.
Because a ring topology provides only one pathway between any two nodes, ring networks may be
[1]
disrupted by the failure of a single link. A node failure or cable break might isolate every node
attached to the ring.
FDDI networks overcome this vulnerability by sending data on a clockwise and a counterclockwise
ring: in the event of a break data is wrapped back onto the complementary ring before it reaches the
end of the cable, maintaining a path to every node along the resulting "C-Ring".
Many ring networks add a "counter-rotating ring" to form a redundant topology. Such "dual ring"
networks include Spatial Reuse Protocol,Fiber Distributed Data Interface (FDDI), and Resilient Packet
Ring.
802.5 networks -- also known as IBM Token Ring networks—avoid the weakness of a ring topology
altogether: they actually use a startopology at the physical layer and a Multistation Access Unit (MAU)
to imitate a ring at the datalink layer.
Very orderly network where every device has access to the token and the opportunity to transmit
Performs better than a bus topology under heavy network load
Does not require a central node to manage the connectivity between the computers
[edit]Disadvantages
One malfunctioning workstation can create problems for the entire network
5. Moves, adds and changes of devices can affect the network
Communication delay is directly proportional to number of nodes in the network
Bandwidth is shared on all links between devices
More difficult to configure than a Star: node adjunction ⇨ Ring shutdown and reconfiguration
[edit]Misconceptions
"Token Ring is an example of a ring topology." 802.5 (Token Ring) networks do not use a ring
topology at layer 1. As explained above, IBM Token Ring (802.5) networks imitatea ring at layer 2
but use a physical star at layer 1.
"Rings prevent collisions." The term "ring" only refers to the layout of the cables. It is true that
there are no collisions on an IBM Token Ring, but this is because of the layer 2 Media Access
Control method, not the physical topology (which again is a star, not a ring.) Token passing, not
rings, prevent collisions.
"Token passing happens on rings." Token passing is a way of managing access to the cable,
implemented at the MAC sublayer of layer 2. Ring topology is the cable layout at layer one. It is
possible to do token passing on a bus (802.4) a star (802.5) or a ring (FDDI). Token passing is
not restricted to rings.
6. Motivation
Motivation is a process that elicits, controls, and sustains certain behaviors. Motivation is a group
phenomenon that affects the nature of an individual's behavior, the strength of the behavior, and the
persistence of the behavior. For instance: An individual has not eaten, he or she feels hungry, and as
a response he or she eats and diminishes feelings of hunger. There are many approaches to
[1]
motivation: physiological, behavioural, cognitive, and social . It is the crucial element in setting and
attaining goals—and research shows that subjects can influence their own levels of motivation and
[2]
self-control . According to various theories, motivation may be rooted in a basic need to minimize
physical pain and maximize pleasure, or it may include specific needs such as eating and resting, or a
desired object, goal, state of being, ideal, or it may be attributed to less-apparent reasons such
as altruism, selfishness,morality, or avoiding mortality. Conceptually, motivation is distinct
[3]
from volition and optimism. Motivation is related to, but distinct from, emotion.
Brief history
At one time, employees were considered just another input into the production of goods and
[4]
services. But this changed after the Hawthorne Studies. The Hawthorne studies were conducted
by Elton Mayo at Hawthorne Plant in the 1920s. The researchers were studying the effect of different
working environments on productivity. They used lighting as an experimental variable (the effect of
bright lighting and dull lighting). Initially they noticed that employees were working harder but it was
not because of the lighting. They concluded that productivity increased due to attention that the
workers got from the research team and not because of changes to the experimental variable.
Hawthorne studies found that employees are not motivated solely by money but motivation is linked to
[5]
employee behaviour and their attitudes. The Hawthorne Studies began the human relations
approach to management, so the needs and motivation of employees became the primary focus of
managers.
[edit]Motivation concepts
[edit]Intrinsic and extrinsic motivation
Motivational poster
7. Intrinsic motivation refers to motivation that is driven by an interest or enjoyment in the task itself,
and exists within the individual rather than relying on any external pressure. Intrinsic motivation is
[6]
based on taking pleasure in an activity rather than working towards an external reward. Intrinsic
motivation has been studied by social and educational psychologists since the early 1970s. Students
who are intrinsically motivated are more likely to engage in the task willingly as well as work to
[7]
improve their skills, which will increase their capabilities. Students are likely to be intrinsically
motivated if they:
attribute their educational results to factors under their own control, also known as autonomy,
believe they have the skill that will allow them to be effective agents in reaching desired goals (i.e.
the results are not determined by luck),
are interested in mastering a topic, rather than just rote-learning to achieve good grades.
Extrinsic motivation refers to the performance of an activity in order to attain an outcome, which
then contradicts intrinsic motivation. It is widely believed that motivation performs two functions. First
one is often referred to the energetic activation component of the motivation construct. The second
one is directed at a specific behaviour and makes reference to the orientation directional component.
Motives can be divided into two types: external and internal. Internal motives are considered as the
needs that every human being experience, while external indicate the presence of specific situations
[8]
where these needs arise.
Social psychological research has indicated that extrinsic rewards can lead to overjustification and a
subsequent reduction in intrinsic motivation. In one study demonstrating this effect, children who
expected to be (and were) rewarded with a ribbon and a gold star for drawing pictures spent less time
playing with the drawing materials in subsequent observations than children who were assigned to an
[9]
unexpected reward condition. For those children who received no extrinsic reward, self-
determination theory proposes that extrinsic motivation can be internalised by the individual if the task
fits with their values and beliefs and therefore helps to fulfill their basic psychological needs.
[edit]Push and Pull
This model is usually used when discussing motivation within tourism context, so the most attention in
gastronomic tourism research should be dedicated to this theory. Pull factors illustrate the choices of
destinations by tourists, whereas push factors determine the desire to go on holiday. Moreover, push
motives are connected with internal forces for example need for relaxation or escapism and pull
factors in turn induce a traveller to visit certain location by external forces such as landscape, culture
image or climate of a destination. Dann also highlights the fact that push factors can be stimulated by
external and situational aspects of motivation in shape of pull factors. Then again pull factors are
issues that can arise from a location itself and therefore ‗push‘ an individual to choose to experience
it. Since, a huge number of theories have been developed over the years in many studies there is no
single theory that illustrates all motivational aspects of travelling. Many researchers highlighted that
because motives may occur at the same time it should not be assumed that only one motive drives an
individual to perform an action as it was presumed in previous studies. On the other hand, since
people are not able to satisfy all their needs at once they usually seek to satisfy some or a few of
them.
[edit]Self-control
The self-control of motivation is increasingly understood as a subset of emotional intelligence; a
person may be highly intelligent according to a more conservative definition (as measured by
many intelligence tests), yet unmotivated to dedicate this intelligence to certain tasks. Yale School of
8. Management professor Victor Vroom's "expectancy theory" provides an account of when people will
decide whether to exert self control to pursue a particular goal.
Drives and desires can be described as a deficiency or need that activates behavior that is aimed at a
goal or an incentive. These are thought to originate within the individual and may not require external
stimuli to encourage the behavior. Basic drives could be sparked by deficiencies such as hunger,
which motivates a person to seek food; whereas more subtle drives might be the desire for praise and
approval, which motivates a person to behave in a manner pleasing to others.
By contrast, the role of extrinsic rewards and stimuli can be seen in the example of training animals by
giving them treats when they perform a trick correctly. The treat motivates the animals to perform the
trick consistently, even later when the treat is removed from the process.
[edit]Motivational theories
[edit]Incentive theory
A reward, tangible or intangible, is presented after the occurrence of an action (i.e. behavior) with the
intent to cause the behavior to occur again. This is done by associating positive meaning to the
behavior. Studies show that if the person receives the reward immediately, the effect is greater, and
decreases as duration lengthens. Repetitive action-reward combination can cause the action to
become habit. Motivation comes from two sources: oneself, and other people. These two sources are
called intrinsic motivation and extrinsic motivation, respectively.
Reinforcers and reinforcement principles of behavior differ from the hypothetical construct of reward.
A reinforcer is any stimulus change following a response that increases the future frequency or
magnitude of that response, therefore the cognitive approach is certainly the way forward as in 1973
Maslow described it as being the golden pineapple. Positive reinforcement is demonstrated by an
increase in the future frequency or magnitude of a response due to in the past being followed
contingently by a reinforcing stimulus. Negative reinforcement involves stimulus change consisting of
the removal of an aversive stimulus following a response. Positive reinforcement involves a stimulus
change consisting of the presentation or magnification of an appetitive stimulus following a response.
From this perspective, motivation is mediated by environmental events, and the concept of
distinguishing between intrinsic and extrinsic forces is irrelevant.
Applying proper motivational techniques can be much harder than it seems. Steven Kerr notes that
when creating a reward system, it can be easy to reward A, while hoping for B, and in the process,
reap harmful effects that can jeopardize your goals.
Incentive theory in psychology treats motivation and behavior of the individual as they are influenced
by beliefs, such as engaging in activities that are expected to be profitable. Incentive theory is
promoted by behavioral psychologists, such as B.F. Skinner and literalized by behaviorists, especially
by Skinner in his philosophy of Radical behaviorism, to mean that a person's actions always
have social ramifications: and if actions are positively received people are more likely to act in this
manner, or if negatively received people are less likely to act in this manner.
Incentive theory distinguishes itself from other motivation theories, such as drive theory, in the
direction of the motivation. In incentive theory, stimuli "attract", to use the term above, a person
towards them. As opposed to the body seeking to reestablish homeostasis pushing it towards the
stimulus. In terms of behaviorism, incentive theory involves positive reinforcement: the stimulus has
been conditioned to make the person happier. For instance, a person knows that eating food,
drinking water, or gaining social capital will make them happier. As opposed to in drive theory, which
involves negative reinforcement: a stimulus has been associated with the removal of the punishment--
9. the lack of homeostasis in the body. For example, a person has come to know that if they eat when
hungry, it will eliminate that negative feeling of hunger, or if they drink when thirsty, it will eliminate
that negative feeling of thirst.
[edit]Escape-seeking dichotomy model
Escapism and seeking are major factors influencing decision making. Escapism is a need to
breakaway from a daily life routine whereas seeking is described as the desire to learn, gain some
inner benefits through travelling. Both motivations have some interpersonal and personal facets for
example individuals would like to escape from family problems (personal) or from problems with work
colleagues (interpersonal). This model can also be easily adapted with regard to different studies.
[edit]Drive-reduction theory
There are a number of drive theories. The Drive Reduction Theory grows out of the concept that we
have certain biological drives, such as hunger. As time passes the strength of the drive increases if it
is not satisfied (in this case by eating). Upon satisfying a drive the drive's strength is reduced. The
theory is based on diverse ideas from the theories of Freudto the ideas of feedback control systems,
such as a thermostat.
Drive theory has some intuitive or folk validity. For instance when preparing food, the drive model
appears to be compatible with sensations of rising hunger as the food is prepared, and, after the food
has been consumed, a decrease in subjective hunger. There are several problems, however, that
leave the validity of drive reduction open for debate. The first problem is that it does not explain how
secondary reinforcers reduce drive. For example, money satisfies no biological or psychological
needs, but a pay check appears to reduce drive through second-order conditioning. Secondly, a drive,
such as hunger, is viewed as having a "desire" to eat, making the drive a homuncular being—a
feature criticized as simply moving the fundamental problem behind this "small man" and his desires.
In addition, it is clear that drive reduction theory cannot be a complete theory of behavior, or a hungry
human could not prepare a meal without eating the food before he finished cooking it. The ability of
drive theory to cope with all kinds of behavior, from not satisfying a drive (by adding on other traits
such as restraint), or adding additional drives for "tasty" food, which combine with drives for "food" in
order to explain cooking render it hard to test.
[edit]Cognitive dissonance theory
Suggested by Leon Festinger, cognitive dissonance occurs when an individual experiences some
degree of discomfort resulting from an inconsistency between two cognitions: their views on the world
around them, and their own personal feelings and actions. For example, a consumer may seek to
reassure himself regarding a purchase, feeling, in retrospect, that another decision may have been
preferable. His feeling that another purchase would have been preferable is inconsistent with his
action of purchasing the item. The difference between his feelings and beliefs causes dissonance, so
he seeks to reassure himself.
While not a theory of motivation, per se, the theory of cognitive dissonance proposes that people have
a motivational drive to reduce dissonance. The cognitive miser perspective makes people want to
justify things in a simple way in order to reduce the effort they put into cognition. They do this by
changing their attitudes, beliefs, or actions, rather than facing the inconsistencies, because
dissonance is a mental strain. Dissonance is also reduced by justifying, blaming, and denying. It is
one of the most influential and extensively studied theories in social psychology.
[edit]Need theories
10. Motivation, as defined by Pritchard and Ashwood, is the process used to allocate energy to maximize
[10]
the satisfaction of needs.
[edit]Need hierarchy theory
The content theory includes the hierarchy of needs from Abraham Maslow and the two- factor theory
from Herzberg. Maslow's theory is one of the most widely discussed theories of motivation.
The American motivation psychologist Abraham H. Maslow developed the Hierarchy of needs
consistent of five hierarchic classes. It shows the complexity of human requirements. According to
him, people are motivated by unsatisfied needs. The lower level needs such as Physiological and
Safety needs will have to be satisfied before higher level needs are to be addressed. We can relate
Maslow's Hierarchy of Needs theory with employee motivation. For example, if a manager is trying to
motivate his employees by satisfying their needs; according to Maslow, he should try to satisfy the
lower level needs before he tries to satisfy the upper level needs or the employees will not be
motivated. Also he has to remember that not everyone will be satisfied by the same needs. A good
manager will try to figure out which levels of needs are active for a certain individual or employee. The
basic requirements build the first step in his pyramid. If there is any deficit on this level, the whole
behavior of a human will be oriented to satisfy this deficit. Subsequently we do have the second level,
which awake a need for security. Basically it is oriented on a future need for security. After securing
those two levels, the motives shift in the social sphere, which form the third stage. Psychological
requirements consist in the fourth level, while the top of the hierarchy comprise the self- realization So
theory can be summarized as follows:
Human beings have wants and desires which influence their behavior. Only unsatisfied needs
influence behavior, satisfied needs do not.
Since needs are many, they are arranged in order of importance, from the basic to the complex.
The person advances to the next level of needs only after the lower level need is at least
minimally satisfied.
The further the progress up the hierarchy, the more individuality, humanness and psychological
health a person will show.
The needs, listed from basic (lowest-earliest) to most complex (highest-latest) are as follows:
Physiology (hunger, thirst, sleep, etc.)
Safety/Security/Shelter/Health
Belongingness/Love/Friendship
Self-esteem/Recognition/Achievement
Self actualization
[edit]Herzberg's two-factor theory
Frederick Herzberg's two-factor theory, a.k.a. intrinsic/extrinsic motivation, concludes that certain
factors in the workplace result in job satisfaction, but if absent, they don't lead to dissatisfaction but no
satisfaction.The factors that motivate people can change over their lifetime, but "respect for me as a
person" is one of the top motivating factors at any stage of life.
He distinguished between:
Motivators; (e.g. challenging work, recognition, responsibility) which give positive
satisfaction, and
11. Hygiene factors; (e.g. status, job security, salary and fringe benefits) that do not motivate if
present, but, if absent, result in demotivation.
The name Hygiene factors is used because, like hygiene, the presence will not make you healthier,
but absence can cause health deterioration.
The theory is sometimes called the "Motivator-Hygiene Theory" and/or "The Dual Structure Theory."
Herzberg's theory has found application in such occupational fields as information systems and in
studies of user satisfaction (see Computer user satisfaction).
[edit]Alderfer's ERG theory
Alderfer, expanding on Maslow's hierarchy of needs, created the ERG theory. This theory posits that
there are three groups of core needs — existence, relatedness, and growth, hence the label: ERG
theory. The existence group is concerned with providing our basic material existence requirements.
They include the items that Maslow considered to be physiological and safety needs. The second
group of needs are those of relatedness- the desire we have for maintaining important interpersonal
relationships. These social and status desires require interaction with others if they are to be satisfied,
and they align with Maslow's social need and the external component of Maslow's esteem
classification. Finally, Alderfer isolates growth needs' an intrinsic desire for personal development.
These include the intrinsic component from Maslow's esteem category and the characteristics
included under self-actualization.
[edit]Self-determination theory
Self-determination theory, developed by Edward Deci and Richard Ryan, focuses on the importance
of intrinsic motivation in driving human behavior. Like Maslow's hierarchical theory and others that
built on it, SDT posits a natural tendency toward growth and development. Unlike these other
theories, however, SDT does not include any sort of "autopilot" for achievement, but instead requires
active encouragement from the environment. The primary factors that encourage motivation and
development are autonomy, competence feedback, and relatedness.
[edit]Broad theories
The latest approach in developing a broad, integrative theory of motivation is Temporal Motivation
[11]
Theory(TMT) . Introduced in a 2007 Academy of Management Review article, it synthesizes into a
[12]
single formulation the primary aspects (including time as a fundamental term) of several other
major motivational theories, including Incentive Theory, Drive Theory, Need Theory, Self-Efficacy and
Goal Setting. The original researchers note that, in an effort to keep the theory simple, existing
theories to integrate were selected based on their shared attributes, and that these theories are still of
value, as TMT does not contain the same depth of detail as each individual theory. However, it still
simplifies the field of motivation and allows findings from one theory to be translated into terms of
another.
Achievement Motivation is an integrative perspective based on the premise that performance
motivation results from the way broad components of personality are directed towards performance.
As a result, it includes a range of dimensions that are relevant to success at work but which are not
conventionally regarded as being part of performance motivation. Especially it integrates formerly
separated approaches as Need for Achievement with, for example, social motives like dominance.
The Achievement Motivation Inventory is based on this theory and assesses three factors (in 17
separated scales) relevant to vocational and professional success.
[edit]Cognitive theories
[edit]Goal-setting theory
12. Goal-setting theory is based on the notion that individuals sometimes have a drive to reach a clearly
defined end state. Often, this end state is a reward in itself. A goal's efficiency is affected by three
features: proximity, difficulty and specificity. Good goal setting incorporates the SMART criteria, in
which goals are: specific, measurable, accurate, realistic, and timely. An ideal goal should present a
situation where the time between the initiation of behavior and the end state is close. This explains
why some children are more motivated to learn how to ride a bike than to master algebra. A goal
should be moderate, not too hard or too easy to complete. In both cases, most people are not
optimally motivated, as many want a challenge (which assumes some kind of insecurity of success).
At the same time people want to feel that there is a substantial probability that they will succeed.
Specificity concerns the description of the goal in their class. The goal should be objectively defined
and intelligible for the individual. A classic example of a poorly specified goal is to get the highest
possible grade. Most children have no idea how much effort they need to reach that goal.
[edit]Models of behavior change
Social-cognitive models of behavior change include the constructs of motivation and volition.
Motivation is seen as a process that leads to the forming of behavioral intentions. Volition is seen as a
process that leads from intention to actual behavior. In other words, motivation and volition refer to
goal setting and goal pursuit, respectively. Both processes require self-regulatory efforts. Several self-
regulatory constructs are needed to operate in orchestration to attain goals. An example of such a
motivational and volitional construct is perceived self-efficacy. Self-efficacy is supposed to facilitate
the forming of behavioral intentions, the development of action plans, and the initiation of action. It
can support the translation of intentions into action.
[edit]Unconscious motivation
Some psychologists believe that a significant portion of human behavior is energized and directed by
unconscious motives. According to Maslow, "Psychoanalysis has often demonstrated that the
relationship between a conscious desire and the ultimate unconscious aim that underlies it need not
be at all direct."
[edit]Intrinsic motivation and the 16 basic desires theory
Starting from studies involving more than 6,000 people, Professor Steven Reiss has proposed a
[13][14]
theory that found 16 basic desires that guide nearly all human behavior. The 16 basic desires
that motivate our actions and define our personalities as:
Acceptance, the need for approval
Curiosity, the need to learn
Eating, the need for food
Family, the need to raise children
Honor, the need to be loyal to the traditional values of one's clan/ethnic group
Idealism, the need for social justice
Independence, the need for individuality
Order, the need for organized, stable, predictable environments
Physical activity, the need for exercise
Power, the need for influence of will
Romance, the need for sex
Saving, the need to collect
Social contact, the need for friends (peer relationships)
Social status, the need for social standing/importance
13. Tranquility, the need to be safe
Vengeance, the need to strike back/to win
In this model, people differ in these basic desires. These basic desires represent intrinsic desires that
directly motivate a person's behavior, and not aimed at indirectly satisfying other desires. People may
also be motivated by non-basic desires, but in this case this does not relate to deep motivation, or
only as a means to achieve other basic desires.
[edit]Controlling motivation
The control of motivation is only understood to a limited extent. There are many different approaches
of motivation training, but many of these are considered pseudoscientific by critics. To understand
how to control motivation it is first necessary to understand why many people lack motivation.
[edit]Employee motivation
See also: Work motivation
Workers in any organization need something to keep them working. Most of the time, the salary of the
employee is enough to keep him or her working for an organization. An employee must be motivated
to work for a company or organization. If no motivation is present in an employee, then that
employee‘s quality of work or all work in general will deteriorate.
When motivating an audience, you can use general motivational strategies or specific motivational
appeals. General motivational strategies include soft sell versus hard sell and personality type. Soft
sell strategies have logical appeals, emotional appeals, advice and praise. Hard sell strategies have
barter, outnumbering, pressure and rank. Also, you can consider basing your strategy on your
audience personality. Specific motivational appeals focus on provable facts, feelings, right and wrong,
[15]
audience rewards and audiencethreats.
[edit]Job Characteristics Model
See also: Work motivation
See also: Job satisfaction
[16]
The Job Characteristics Model (JCM), as designed by Hackman and Oldham attempts to use job
design to improve employee motivation. They have identified that any job can be described in terms
of five key job characteristics;
1. Skill Variety - the degree to which a job requires different skills and talents to complete a number
of different activities
2. Task Identity - this dimension refers to the completion of a whole and identifiable piece of work
versus a partial task as part of a larger piece of work
3. Task Significance - is the impact of the task upon the lives or work of others
4. Autonomy - is the degree of independence or freedom allowed to complete a job
5. Task Feedback - individually obtaining direct and clear feedback about the effectiveness of the
individual carrying out the work activities
The JCM links these core job dimensions listed above to critical psychological states which results in
desired personal and work outcomes. This forms the basis of this 'employee growth-need strength."
The core dimensions listed above can be combined into a single predictive index, called
the Motivating Potential Score.
14. [edit]Motivating Potential Score
See also: Work motivation
See also: Job satisfaction
The motivating potential score (MPS) can be calculated, using the core dimensions discussed above,
as follows;
Jobs that are high in motivating potential must be high on at least one of the three factors that
lead to experienced meaningfulness, and also must be high on both Autonomy and
[17]
Feedback. If a job has a high MPS, the job characteristics model predicts that motivation,
performance and job satisfaction will be positively affected and the likelihood of negative
[17]
outcomes, such as absenteeism and turnover, will be reduced.
[edit]Drugs
Some authors, especially in the transhumanist movement, have suggested the use of "smart
drugs", also known as nootropics, as "motivation-enhancers". These drugs work in various ways
to affect neurotransmitters in the brain. It is generally widely accepted that these drugs enhance
[18]
cognitive functions, but not without potential side effects. The effects of many of these drugs on
the brain are emphatically not well understood, and their legal status often makes open
[citation needed]
experimentation difficult.
[edit]Applications
[edit]Education
Motivation is of particular interest to educational psychologists because of the crucial role it plays
in student learning. However, the specific kind of motivation that is studied in the specialized
setting of education differs qualitatively from the more general forms of motivation studied by
psychologists in other fields.
Motivation in education can have several effects on how students learn and how they behave
[19]
towards subject matter. It can:
1. Direct behavior toward particular goals
2. Lead to increased effort and energy
3. Increase initiation of, and persistence in, activities
4. Enhance cognitive processing
5. Determine what consequences are reinforcing
6. Lead to improved performance.
Because students are not always internally motivated, they sometimes need situated motivation,
which is found in environmental conditions that the teacher creates.
If teachers decided to extrinsically reward productive student behaviors, they may find it difficult to
extricate themselves from that path. Consequently student dependency on extrinsic rewards
[20]
represents one of the greatest detractors from their use in the classroom.
15. The majority of new student orientation leaders at colleges and universities recognize that
distinctive needs of students should be considered in regard to orientation information provided at
the beginning of the higher education experience. Research done by Whyte in 1986 raised the
awareness of counselors and educators in this regard. In 2007, the National Orientation Directors
Association reprinted Cassandra B. Whyte's research report allowing readers to ascertain
improvements made in addressing specific needs of students over a quarter of a century later to
[21]
help with academic success.
Generally, motivation is conceptualized as either intrinsic or extrinsic. Classically, these
[22]
categories are regarded as distinct. Today, these concepts are less likely to be used as distinct
[23]
categories, but instead as two ideal types that define a continuum:
Intrinsic motivation occurs when people are internally motivated to do something because it
either brings them pleasure, they think it is important, or they feel that what they are learning
is significant. It has been shown that intrinsic motivation for education drops from grades 3-9
[24]
though the exact cause cannot be ascertained. Also, in younger students it has been
shown that contextualizing material that would otherwise be presented in an abstract manner
[25]
increases the intrinsic motivation of these students.
Extrinsic motivation comes into play when a student is compelled to do something or act a
certain way because of factors external to him or her (like money or good grades).
Cassandra B. Whyte researched and reported about the importance of locus of control and
academic achievement. Students tending toward a more internal locus of control are more
academically successful, thus encouraging curriculum and activity development with
[26][27]
consideration of motivation theories.
Motivation has been found to be an important element in the concept of Andragogy (what
motivates the adult learner), and in treating Autism Spectrum Disorders, as in Pivotal Response
Therapy.
Doyle and Moeyn have noted that traditional methods tended to use anxiety as negative
motivation (e.g. use of bad grades by teachers) as a method of getting students to work.
However, they have found that progressive approaches with focus on positive motivation over
punishment has produced greater effectiveness with learning, since anxiety interferes with
[28]
performance of complex tasks.
[edit]Sudbury Model schools' approach
Main article: Sudbury Valley School
Sudbury Model schools adduce that the cure to the problem of procrastination, of learning in
general, and particularly of scientific illiteracy is to remove once and for all what they call the
underlying disease: compulsion in schools. They contend that human nature in a free society
recoils from every attempt to force it into a mold; that the more requirements we pile onto children
at school, the surer we are to drive them away from the material we are trying to force down their
throats; that after all the drive and motivation of infants to master the world around them is
legendary. They assert that schools must keep that drive alive by doing what some of them do:
[29]
nurturing it on the freedom it needs to thrive.
Sudbury Model schools do not perform and do not offer evaluations, assessments, transcripts, or
recommendations, asserting that they do not rate people, and that school is not a judge;
comparing students to each other, or to some standard that has been set is for them a violation of
the student's right to privacy and to self-determination. Students decide for themselves how to
16. measure their progress as self-starting learners as a process of self-evaluation: real life-long
[30]
learning and the proper educational evaluation for the 21st century, they adduce. According to
Sudbury Model schools, this policy does not cause harm to their students as they move on to life
outside the school. However, they admit it makes the process more difficult, but that such
hardship is part of the students learning to make their own way, set their own standards and meet
their own goals. The no-grading and no-rating policy helps to create an atmosphere free of
competition among students or battles for adult approval, and encourages a positive cooperative
[31]
environment amongst the student body.
[edit]Business
See also: Work motivation
At lower levels of Maslow's hierarchy of needs, such as physiological needs, money is a
motivator, however it tends to have a motivating effect on staff that lasts only for a short period (in
accordance with Herzberg's two-factor model of motivation). At higher levels of the hierarchy,
praise, respect, recognition, empowerment and a sense of belonging are far more powerful
motivators than money, as both Abraham Maslow's theory of motivation and Douglas
McGregor's theory X and theory Y (pertaining to the theory of leadership) demonstrate.
[32]
According to Maslow, people are motivated by unsatisfied needs. The lower level needs such
as Physiological and Safety needs will have to be satisfied before higher level needs are to be
addressed. We can relate Maslow's Hierarchy of Needs theory with employee motivation. For
example, if a manager is trying to motivate his employees by satisfying their needs; according to
Maslow, he should try to satisfy the lower level needs before he tries to satisfy the upper level
needs or the employees will not be motivated. Also he has to remember that not everyone will be
satisfied by the same needs. A good manager will try to figure out which levels of needs are
active for a certain individual or employee.
Maslow has money at the lowest level of the hierarchy and shows other needs are better
motivators to staff. McGregor places money in his Theory X category and feels it is a poor
motivator. Praise and recognition are placed in the Theory Y category and are considered
stronger motivators than money.
Motivated employees always look for better ways to do a job.
Motivated employees are more quality oriented.
Motivated workers are more productive.
The average workplace is about midway between the extremes of high threat and high
opportunity. Motivation by threat is a dead-end strategy, and naturally staff are more attracted to
the opportunity side of the motivation curve than the threat side. Motivation is a powerful tool in
the work environment that can lead to employees working at their most efficient levels of
[33]
production.
Nonetheless, Steinmetz also discusses three common character types of subordinates:
ascendant, indifferent, and ambivalent who all react and interact uniquely, and must be treated,
managed, and motivated accordingly. An effective leader must understand how to manage all
characters, and more importantly the manager must utilize avenues that allow room for
[34]
employees to work, grow, and find answers independently.
[35]
The assumptions of Maslow and Herzberg were challenged by a classic study at Vauxhall
Motors' UK manufacturing plant. This introduced the concept of orientation to work and
distinguished three main orientations: instrumental (where work is a means to an end),
17. bureaucratic (where work is a source of status, security and immediate reward) and solidaristic
(which prioritises group loyalty).
Other theories which expanded and extended those of Maslow and Herzberg included Kurt
Lewin's Force Field Theory, Edwin Locke's Goal Theory and Victor Vroom's Expectancy theory.
These tend to stress cultural differences and the fact that individuals tend to be motivated by
[36]
different factors at different times.
According to the system of scientific management developed by Frederick Winslow Taylor, a
worker's motivation is solely determined by pay, and therefore management need not consider
psychological or social aspects of work. In essence, scientific management bases human
motivation wholly on extrinsic rewards and discards the idea of intrinsic rewards.
In contrast, David McClelland believed that workers could not be motivated by the mere need
for money—in fact, extrinsic motivation (e.g., money) could extinguish intrinsic motivation such as
achievement motivation, though money could be used as an indicator of success for various
motives, e.g., keeping score. In keeping with this view, his consulting firm, McBer & Company,
had as its first motto "To make everyone productive, happy, and free." For McClelland,
satisfaction lay in aligning a person's life with their fundamental motivations.
Elton Mayo found that the social contacts a worker has at the workplace are very important and
that boredom and repetitiveness of tasks lead to reduced motivation. Mayo believed that workers
could be motivated by acknowledging their social needs and making them feel important. As a
result, employees were given freedom to make decisions on the job and greater attention was
paid to informal work groups. Mayo named the model the Hawthorne effect. His model has been
judged as placing undue reliance on social contacts at work situations for motivating
[37]
employees.
William Ouchi introduced Theory Z, a hybrid management approach consisting of both Japanese
[38]
and American philosophies and cultures. Its Japanese segment is much like the clan culture
where organizations focus on a standardized structure with heavy emphasis on socialization of its
members. All underlying goals are consistent across the organization. Its American segment
retains formality and authority amongst members and the organization. Ultimately, Theory Z
promotes common structure and commitment to the organization, as well as constant
improvement of work efficacy.
In Essentials of Organizational Behavior, Robbins and Judge examine recognition programs as
motivators, and identify five principles that contribute to the success of an employee incentive
[39]
program:
Recognition of employees' individual differences, and clear identification of behavior deemed
worthy of recognition
Allowing employees to participate
Linking rewards to performance
Rewarding of nominators
Visibility of the recognition process
[edit]Games
Motivational models are central to game design, because without motivation a player will not be
[40]
interested in progressing further within a game. Several models for gameplay motivations have
been proposed, including Richard Bartle's. Jon Radoff has proposed a four-quadrant model of
[41]
gameplay motivation that includes cooperation, competition, immersion and achievement. The
18. motivational structure of games is central to the gamification trend, which seeks to apply game-
[42]
based motivation to business applications.
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