A system is defined as a set of interacting or interdependent components forming an integrated whole. Systems can be open or closed, natural or human-made. Key concepts in systems include boundaries, inputs, outputs, feedback, and subsystems. Fields that study systems properties include systems science, engineering, and complexity. While systems provide benefits like reduced errors and time savings, they also present disadvantages such as dependence, expense, and need for monitoring.
A system is a group of interrelated components working together toward a common goal by accepting inputs and producing outputs in an organized transformation process.
Systems theory - Organizational Change and Development - Manu Melwin Joymanumelwin
Systems Theory was first introduced by Van Bertalanffy (1950) and was introduced into the organisational setting by Kataz and Khan (1966).
Systems theory is an approach to organizations which likens the enterprise to an organism with interdependent parts, each with its own specific function and interrelated responsibilities.
A system is a group of interrelated components working together toward a common goal by accepting inputs and producing outputs in an organized transformation process.
Systems theory - Organizational Change and Development - Manu Melwin Joymanumelwin
Systems Theory was first introduced by Van Bertalanffy (1950) and was introduced into the organisational setting by Kataz and Khan (1966).
Systems theory is an approach to organizations which likens the enterprise to an organism with interdependent parts, each with its own specific function and interrelated responsibilities.
Unit 1
Introduction to software engineering, the software as product and a process
software process models – waterfall model, incremental development, reuse
oriented software engineering, introduction to agile.
Systems approach vs engineering approach,
case studies to explain 1) the importance of information systems, 2) availability
and reliability of information systems, 3) flexibility of information systems.
Unit 2
A. Software Development process : SDLC
B. Requirements Engineering – characteristics of requirement, requirement
elicitation and analysis, validation and verification
C. Identification of attributes.
D. Feasibility Analysis : technical and economic
Unit 3
3.1Data Flow Diagrams : Symbols, describing a good system with DFD
3.2DFD : leveling of DFD, logical and physical DFD
3.3Process Specification, Decision Tables.
3.4Introduction to ER Diagrams and Data Dictionary.
Unit 4
4.1Data Input Methods : Data input, coding techniques.
4.2Designing outputs : objectives of output design, design of output reports.
4.3Software development – introduction to project and modules, coupling
and cohesion
4.4 Case studies on DFD, ERD
Unit 5.
5.1Introduction and importance of software testing
5.2Software Security concept and software maintenance
5.3Control of information system
5.4Audit of information system
Unit 6
6.1Introduction to software development and deployment environment
6.2Introduction to component based software engineering
6.3Introduction to distributed software engineering
6.4Introduction to service oriented architecture
This presentation covers topic like Information Definition
Meaning of Information System
2.1 Component of Information System
2.2 Functional elements of Information System
2.3 Types of Information System
2.4 Application of Information System
2.5 Recognizing Information System
3. Information System and Society
3.1Information Society
3.2 Types of Information Society
4. Information System and Organization
4.1 ERP Information System in Organization
4.2Information System for a Business Organization.
5. Constraint and Limitation of Information System
automatic classification in information retrievalBasma Gamal
automatic classification in information retrieval-automatic classification of documents
Chapter 3 from IR_VAN_Book
INFORMATION RETRIEVAL
C. J. van RIJSBERGEN B.Sc., Ph.D., M.B.C.S.
Unit 1
Introduction to software engineering, the software as product and a process
software process models – waterfall model, incremental development, reuse
oriented software engineering, introduction to agile.
Systems approach vs engineering approach,
case studies to explain 1) the importance of information systems, 2) availability
and reliability of information systems, 3) flexibility of information systems.
Unit 2
A. Software Development process : SDLC
B. Requirements Engineering – characteristics of requirement, requirement
elicitation and analysis, validation and verification
C. Identification of attributes.
D. Feasibility Analysis : technical and economic
Unit 3
3.1Data Flow Diagrams : Symbols, describing a good system with DFD
3.2DFD : leveling of DFD, logical and physical DFD
3.3Process Specification, Decision Tables.
3.4Introduction to ER Diagrams and Data Dictionary.
Unit 4
4.1Data Input Methods : Data input, coding techniques.
4.2Designing outputs : objectives of output design, design of output reports.
4.3Software development – introduction to project and modules, coupling
and cohesion
4.4 Case studies on DFD, ERD
Unit 5.
5.1Introduction and importance of software testing
5.2Software Security concept and software maintenance
5.3Control of information system
5.4Audit of information system
Unit 6
6.1Introduction to software development and deployment environment
6.2Introduction to component based software engineering
6.3Introduction to distributed software engineering
6.4Introduction to service oriented architecture
This presentation covers topic like Information Definition
Meaning of Information System
2.1 Component of Information System
2.2 Functional elements of Information System
2.3 Types of Information System
2.4 Application of Information System
2.5 Recognizing Information System
3. Information System and Society
3.1Information Society
3.2 Types of Information Society
4. Information System and Organization
4.1 ERP Information System in Organization
4.2Information System for a Business Organization.
5. Constraint and Limitation of Information System
automatic classification in information retrievalBasma Gamal
automatic classification in information retrieval-automatic classification of documents
Chapter 3 from IR_VAN_Book
INFORMATION RETRIEVAL
C. J. van RIJSBERGEN B.Sc., Ph.D., M.B.C.S.
System Analysis & Designing : Elements of a System [In short]Abir Maheshwari
One of the topic from SAD named 'Elements of a System'. there are 6 keys elements to construct and reconstruct the business. which are described in this topics but in short, more to come stay connected. Thank you.
What is Software or System ?
How to develop a good Software or System ?
What attributes of designing a good Software or System ?
Which methodology should be to design a good Software or System ?
What is SDLC ?
How many phases available in SDLC ?
With the rapid increase in performance of computers over the last few years it is unlikely that any business will survive without some means of computerised data processing in the future.
It is therefore very important that any person planning and involved in any career in today’s commercial environment is provided with a basic understanding of computer technology and the theory of Management Information System (MIS).
Phenomics assisted breeding in crop improvementIshaGoswami9
As the population is increasing and will reach about 9 billion upto 2050. Also due to climate change, it is difficult to meet the food requirement of such a large population. Facing the challenges presented by resource shortages, climate
change, and increasing global population, crop yield and quality need to be improved in a sustainable way over the coming decades. Genetic improvement by breeding is the best way to increase crop productivity. With the rapid progression of functional
genomics, an increasing number of crop genomes have been sequenced and dozens of genes influencing key agronomic traits have been identified. However, current genome sequence information has not been adequately exploited for understanding
the complex characteristics of multiple gene, owing to a lack of crop phenotypic data. Efficient, automatic, and accurate technologies and platforms that can capture phenotypic data that can
be linked to genomics information for crop improvement at all growth stages have become as important as genotyping. Thus,
high-throughput phenotyping has become the major bottleneck restricting crop breeding. Plant phenomics has been defined as the high-throughput, accurate acquisition and analysis of multi-dimensional phenotypes
during crop growing stages at the organism level, including the cell, tissue, organ, individual plant, plot, and field levels. With the rapid development of novel sensors, imaging technology,
and analysis methods, numerous infrastructure platforms have been developed for phenotyping.
ISI 2024: Application Form (Extended), Exam Date (Out), EligibilitySciAstra
The Indian Statistical Institute (ISI) has extended its application deadline for 2024 admissions to April 2. Known for its excellence in statistics and related fields, ISI offers a range of programs from Bachelor's to Junior Research Fellowships. The admission test is scheduled for May 12, 2024. Eligibility varies by program, generally requiring a background in Mathematics and English for undergraduate courses and specific degrees for postgraduate and research positions. Application fees are ₹1500 for male general category applicants and ₹1000 for females. Applications are open to Indian and OCI candidates.
Earliest Galaxies in the JADES Origins Field: Luminosity Function and Cosmic ...Sérgio Sacani
We characterize the earliest galaxy population in the JADES Origins Field (JOF), the deepest
imaging field observed with JWST. We make use of the ancillary Hubble optical images (5 filters
spanning 0.4−0.9µm) and novel JWST images with 14 filters spanning 0.8−5µm, including 7 mediumband filters, and reaching total exposure times of up to 46 hours per filter. We combine all our data
at > 2.3µm to construct an ultradeep image, reaching as deep as ≈ 31.4 AB mag in the stack and
30.3-31.0 AB mag (5σ, r = 0.1” circular aperture) in individual filters. We measure photometric
redshifts and use robust selection criteria to identify a sample of eight galaxy candidates at redshifts
z = 11.5 − 15. These objects show compact half-light radii of R1/2 ∼ 50 − 200pc, stellar masses of
M⋆ ∼ 107−108M⊙, and star-formation rates of SFR ∼ 0.1−1 M⊙ yr−1
. Our search finds no candidates
at 15 < z < 20, placing upper limits at these redshifts. We develop a forward modeling approach to
infer the properties of the evolving luminosity function without binning in redshift or luminosity that
marginalizes over the photometric redshift uncertainty of our candidate galaxies and incorporates the
impact of non-detections. We find a z = 12 luminosity function in good agreement with prior results,
and that the luminosity function normalization and UV luminosity density decline by a factor of ∼ 2.5
from z = 12 to z = 14. We discuss the possible implications of our results in the context of theoretical
models for evolution of the dark matter halo mass function.
Professional air quality monitoring systems provide immediate, on-site data for analysis, compliance, and decision-making.
Monitor common gases, weather parameters, particulates.
ESR spectroscopy in liquid food and beverages.pptxPRIYANKA PATEL
With increasing population, people need to rely on packaged food stuffs. Packaging of food materials requires the preservation of food. There are various methods for the treatment of food to preserve them and irradiation treatment of food is one of them. It is the most common and the most harmless method for the food preservation as it does not alter the necessary micronutrients of food materials. Although irradiated food doesn’t cause any harm to the human health but still the quality assessment of food is required to provide consumers with necessary information about the food. ESR spectroscopy is the most sophisticated way to investigate the quality of the food and the free radicals induced during the processing of the food. ESR spin trapping technique is useful for the detection of highly unstable radicals in the food. The antioxidant capability of liquid food and beverages in mainly performed by spin trapping technique.
Comparing Evolved Extractive Text Summary Scores of Bidirectional Encoder Rep...University of Maribor
Slides from:
11th International Conference on Electrical, Electronics and Computer Engineering (IcETRAN), Niš, 3-6 June 2024
Track: Artificial Intelligence
https://www.etran.rs/2024/en/home-english/
Deep Behavioral Phenotyping in Systems Neuroscience for Functional Atlasing a...Ana Luísa Pinho
Functional Magnetic Resonance Imaging (fMRI) provides means to characterize brain activations in response to behavior. However, cognitive neuroscience has been limited to group-level effects referring to the performance of specific tasks. To obtain the functional profile of elementary cognitive mechanisms, the combination of brain responses to many tasks is required. Yet, to date, both structural atlases and parcellation-based activations do not fully account for cognitive function and still present several limitations. Further, they do not adapt overall to individual characteristics. In this talk, I will give an account of deep-behavioral phenotyping strategies, namely data-driven methods in large task-fMRI datasets, to optimize functional brain-data collection and improve inference of effects-of-interest related to mental processes. Key to this approach is the employment of fast multi-functional paradigms rich on features that can be well parametrized and, consequently, facilitate the creation of psycho-physiological constructs to be modelled with imaging data. Particular emphasis will be given to music stimuli when studying high-order cognitive mechanisms, due to their ecological nature and quality to enable complex behavior compounded by discrete entities. I will also discuss how deep-behavioral phenotyping and individualized models applied to neuroimaging data can better account for the subject-specific organization of domain-general cognitive systems in the human brain. Finally, the accumulation of functional brain signatures brings the possibility to clarify relationships among tasks and create a univocal link between brain systems and mental functions through: (1) the development of ontologies proposing an organization of cognitive processes; and (2) brain-network taxonomies describing functional specialization. To this end, tools to improve commensurability in cognitive science are necessary, such as public repositories, ontology-based platforms and automated meta-analysis tools. I will thus discuss some brain-atlasing resources currently under development, and their applicability in cognitive as well as clinical neuroscience.
Travis Hills' Endeavors in Minnesota: Fostering Environmental and Economic Pr...Travis Hills MN
Travis Hills of Minnesota developed a method to convert waste into high-value dry fertilizer, significantly enriching soil quality. By providing farmers with a valuable resource derived from waste, Travis Hills helps enhance farm profitability while promoting environmental stewardship. Travis Hills' sustainable practices lead to cost savings and increased revenue for farmers by improving resource efficiency and reducing waste.
ANAMOLOUS SECONDARY GROWTH IN DICOT ROOTS.pptxRASHMI M G
Abnormal or anomalous secondary growth in plants. It defines secondary growth as an increase in plant girth due to vascular cambium or cork cambium. Anomalous secondary growth does not follow the normal pattern of a single vascular cambium producing xylem internally and phloem externally.
DERIVATION OF MODIFIED BERNOULLI EQUATION WITH VISCOUS EFFECTS AND TERMINAL V...Wasswaderrick3
In this book, we use conservation of energy techniques on a fluid element to derive the Modified Bernoulli equation of flow with viscous or friction effects. We derive the general equation of flow/ velocity and then from this we derive the Pouiselle flow equation, the transition flow equation and the turbulent flow equation. In the situations where there are no viscous effects , the equation reduces to the Bernoulli equation. From experimental results, we are able to include other terms in the Bernoulli equation. We also look at cases where pressure gradients exist. We use the Modified Bernoulli equation to derive equations of flow rate for pipes of different cross sectional areas connected together. We also extend our techniques of energy conservation to a sphere falling in a viscous medium under the effect of gravity. We demonstrate Stokes equation of terminal velocity and turbulent flow equation. We look at a way of calculating the time taken for a body to fall in a viscous medium. We also look at the general equation of terminal velocity.
Salas, V. (2024) "John of St. Thomas (Poinsot) on the Science of Sacred Theol...Studia Poinsotiana
I Introduction
II Subalternation and Theology
III Theology and Dogmatic Declarations
IV The Mixed Principles of Theology
V Virtual Revelation: The Unity of Theology
VI Theology as a Natural Science
VII Theology’s Certitude
VIII Conclusion
Notes
Bibliography
All the contents are fully attributable to the author, Doctor Victor Salas. Should you wish to get this text republished, get in touch with the author or the editorial committee of the Studia Poinsotiana. Insofar as possible, we will be happy to broker your contact.
What is greenhouse gasses and how many gasses are there to affect the Earth.moosaasad1975
What are greenhouse gasses how they affect the earth and its environment what is the future of the environment and earth how the weather and the climate effects.
Remote Sensing and Computational, Evolutionary, Supercomputing, and Intellige...University of Maribor
Slides from talk:
Aleš Zamuda: Remote Sensing and Computational, Evolutionary, Supercomputing, and Intelligent Systems.
11th International Conference on Electrical, Electronics and Computer Engineering (IcETRAN), Niš, 3-6 June 2024
Inter-Society Networking Panel GRSS/MTT-S/CIS Panel Session: Promoting Connection and Cooperation
https://www.etran.rs/2024/en/home-english/
2. Definitions of System
• A system is a set of interacting or interdependent
components forming an integrated whole.(Wikipedia)
• An assembly of components or elements connected
together in an organized way to produce outputs; the
components of the assembly are affected by being in
the system and the behavior of the system is changed if
any component leaves it.(Oxford Business Dictionary)
3. Fields That Study The General Properties
Of Systems Include
• Systems Science
• Systems Theory
• Systems Modeling
• Systems Engineering
• Cybernetics
• Dynamical Systems
• Thermodynamics
• Complex Systems
• System Analysis And Design
• Systems Architecture
4. System Concepts
Environment And Boundaries
• Systems theory views the world as a complex system of interconnected
parts. We scope a system by defining its boundary; this means choosing
which entities are inside the system and which are outside – part of the
environment. We then make simplified representations (models) of the
system in order to understand it and to predict or impact its future behavior.
These models may define the structure and/or the behavior of the system.
5. System Concepts
Natural and human-made systems
• There are natural and human-made (designed) systems. Natural systems may
not have an apparent objective but their outputs can be interpreted as
purposes. Human-made systems are made with purposes that are achieved by
the delivery of outputs. Their parts must be related; they must be “designed
to work as a coherent entity” – else they would be two or more distinct
systems
6. System Concepts
Theoretical framework
• An open system exchanges matter and energy with
its surroundings. Most systems are open systems;
like a car, coffeemaker, or computer. A closed
system exchanges energy, but not matter, with its
environment; like Earth or the project Biosphere2
or 3. An isolated system exchanges neither matter
nor energy with its environment. A theoretical
example of such system is the Universe.
7. System Concepts
Process and transformation process
• An open system can also be viewed as a bounded transformation process,
that is, a black box that is a process or collection of processes that
transforms inputs into outputs. Inputs are consumed; outputs are produced.
The concept of input and output here is very broad. E.g., an output of a
passenger ship is the movement of people from departure to destination.
8. System Concepts
Subsystem
• A subsystem is a set of elements, which is a system itself, and a component of a larger
system.
System model
• A system comprises multiple views. For the man-made systems it may be such views as
concept, analysis, design, implementation, deployment, structure, behavior, input data, and
output data views. A system model is required to describe and represent all these multiple
views.
9. System Concepts
Systems architecture
• A systems architecture, using one single integrated model for the description
of multiple views such as concept, analysis, design, implementation,
deployment, structure, behavior, input data, and output data views, is a kind
of system model.
10. Elements of a system
• Following are considered as the
elements of a system in terms of
Information systems: –
• Input
• Output
• Processor
• Control
• Feedback
• Boundary and interface
• Environment
11. Elements of a system
• 1. INPUT: Input involves capturing and assembling elements that enter the
system to be processed.
• OUTPUT: Those elements that exists in the system due to the processing of
the inputs is known as output.
• PROCESSOR(S): The processor is the element of a system that involves the
actual transformation of input into output.
12. Elements of a system
• 4. CONTROL: The control element guides the system. It is the decision-
making sub-system that controls the pattern of activities governing input,
processing and output. It also keeps the system within the boundary set.
• 5. FEEDBACK: Control in a dynamic system is achieved by feedback.
Feedback measures output against a standard input in some form of
cybernetic procedure that includes communication and control. The
feedback may generally be of three types 1)POSITIVE, 2)NEGATIVE and
3)INFORMATIONAL.
13. Elements of a system
• 6. BOUNDARY AND INTERFACE: A system should be defined by its
boundaries-the limits that identify its components, processes and
interrelationships when it interfaces with another system.
• 7. ENVIRONMENT: The environment is the 'super system' within which an
organization operates. It excludes input, processes and outputs. It is the
source of external elements that impinge on the system.
14. Types of systems
Systems are classified in
different ways:
• Physical or abstract systems.
• Open or closed systems.
• 'Man-made' information systems.
• Formal information systems.
• Informal information systems.
• Computer-based information
systems.
• Real-time system.
15. Types of systems
Physical or abstract systems.
Physical systems are tangible entities that may be static or dynamic in operation.
Open or closed systems.
An open system has many interfaces with its environment. i.e. system that interacts
freely with its environment, taking input and returning output.
A closed system
A closed system does not interact with the environment; changes in the environment
and adaptability are not issues for closed system.
16. Types of systems
Man-made Information System
• A man-made information system will be any collective circuit or system that
collects, processes, stores and maintains information for a particular use.
These information systems will be made up of hardware, software,
technology and people.
17. Types of systems
Formal information system
A formal information system is based on
the organization represented by the
organization chart. The chart is a map of
position and their authority relationship,
indicated by boxes and connected by
straight lines. it is concerned with the
pattern of authority, communication and
work flow.
The informal information system
The informal information system is employee
based system design to meet personnel and
vocational needs and to help in the solution of
work-related problems. it also funnels
information upward through indirect channels.
In this way, it is considered to be a useful system
because it works within the framework of the
business and its stated policies.
18. Types of systems
• A computer(-based) information system is essentially an IS using
computer technology to carry out some or all of its planned tasks.
• Real-time programs/Systems must guarantee response within specified
time constraints, often referred to as "deadlines". Real-time responses are
often understood to be in the order of milliseconds, and sometimes
microseconds
19. Application of the system concept
Systems modeling is generally a basic principle in engineering and in social
sciences. The system is the representation of the entities under concern.
• Systems in information and computer science
In computer science and information science, system is a software system
which has components as its structure and observable inter-process
communications as its behavior.
20. Application Of The System Concept
• Systems in engineering and physics
In engineering and physics, a physical system is the portion of the universe that is
being studied (of which a thermodynamic system is one major example).
• Systems in social and cognitive sciences and management
research
Social and cognitive sciences recognize systems in human person models and in
human societies. They include human brain functions and human mental processes
as well as normative ethics systems and social/cultural behavioral patterns
21. Application of the system concept
• Pure logical systems
There is also such a thing as a logical system. The most obvious example is
George Boole's Boolean operators. Other examples have related specifically to
philosophy, biology, or cognitive science. Maslow's Hierarchy of Needs applies
psychology to biology by using pure logic.