1 Archives - Department Of Physics University of Patras https://physics.upatras.gr/en/semester/1/ School of Natural Sciences Fri, 31 May 2024 16:25:33 +0000 en-US hourly 1 https://wordpress.org/?v=7.0 Radiation-Atmosphere Interaction https://physics.upatras.gr/en/pms-courses/radiation-atmosphere-interaction/ Fri, 31 May 2024 16:22:06 +0000 https://physics.upatras.gr/pms-courses/radiation-atmosphere-interaction/ Introduction: Solar and Terrestrial Radiation, Structure of Atmosphere, Radiometric quantities, Laws of propagation of radiation in atmosphere. Scattering and Absorption in atmosphere: Absorption and scattering from molecules, Particulate matter and clouds, Effect of albedo of the ground, Multiple scattering effect Models of radiation propagation in atmosphere: Methods of solving of equations of radiation propagation, Applications [...]

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  • Introduction: Solar and Terrestrial Radiation, Structure of Atmosphere, Radiometric quantities, Laws of propagation of radiation in atmosphere.
  • Scattering and Absorption in atmosphere: Absorption and scattering from molecules, Particulate matter and clouds, Effect of albedo of the ground, Multiple scattering effect
  • Models of radiation propagation in atmosphere: Methods of solving of equations of radiation propagation, Applications to the ultraviolent, visible, near and far infrared. Climate models, analytic one-dimensional and three-dimensional models.
  • Solar radiation measurements: Terrestrial measurements:  Spectrophotometers and wide spectrum instruments, measurement techniques, calibration and quality control. Satellite estimations: Instruments, calibration techniques and quality control.
  • Special applications: Collaborative usage of models and measurements for atmospheric parameters estimation, Energy balance on atmosphere

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    ]]>         Measurements and Data Handling in Atmospheric Sciences https://physics.upatras.gr/en/pms-courses/measurements-and-data-handling-in-atmospheric-sciences-2/ Fri, 31 May 2024 16:20:01 +0000 https://physics.upatras.gr/pms-courses/measurements-and-data-handling-in-atmospheric-sciences-2/ The atmospheric variables and their metrics. Definition of Calibration – Examples Data Collection Systems – Programming – Acquisition of primary measurements. Quality Control of Atmospheric Data. Atmospheric Parameters Databases The most important databases of atmospheric data. Data acquisition from databases: Examples – Applications. Data management and visualization using R and Python programming languages. Atmospheric Time [...]

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  • The atmospheric variables and their metrics.
    1. Definition of Calibration – Examples
    2. Data Collection Systems – Programming – Acquisition of primary measurements.
    3. Quality Control of Atmospheric Data.
  • Atmospheric Parameters Databases
    1. The most important databases of atmospheric data.
    2. Data acquisition from databases: Examples – Applications.
  • Data management and visualization using R and Python programming languages.
  • Atmospheric Time Series
    1. Definition of Time Series – Stagnation.
    2. Time Series Standards.
    3. Time Domain: Discrete and Continuous Data.
    4. Frequency Domain: Harmonic and Spectral Analysis.
    5. Applications on R and Python Programming Languages

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    ]]>         Dynamic and Synoptic Meteorology https://physics.upatras.gr/en/pms-courses/dynamic-and-synoptic-meteorology/ Fri, 31 May 2024 16:18:09 +0000 https://physics.upatras.gr/pms-courses/dynamic-and-synoptic-meteorology/ Thermodynamic elements in the atmosphere Adiabatic process in atmosphere Thermodynamic diagrams Atmospheric stability– use of thermodynamic diagrams Work and kinetic energy in vertical atmospheric motions Motion of atmospheric air Relative and absolute motion Forces that cause motion. General equations of motion Special cases of motion Variation of wind and barometric pressure Thermal wind Vertical temperature [...]

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  • Thermodynamic elements in the atmosphere
    1. Adiabatic process in atmosphere
    2. Thermodynamic diagrams
    3. Atmospheric stability– use of thermodynamic diagrams
    4. Work and kinetic energy in vertical atmospheric motions
  • Motion of atmospheric air
    1. Relative and absolute motion
    2. Forces that cause motion.
    3. General equations of motion
    4. Special cases of motion
  • Variation of wind and barometric pressure
    1. Thermal wind
    2. Vertical temperature change
    3. Local thermometric variations
    4. Vertical variation of position and intensity of the pressure systems
  • Time variations of flow parameters
    1. Kelvin and Bjerkness theorems
    2. Physical definition of circulation – Application to the development of vertical circulation
    3. Equation of barometric pressure – Bjerkness – Holboe theory
    4. Horizontal acceleration components
    5. Applications of the curl equation
    6. Rossby wave theory
  • Atmospheric boundary layer data
    1. The concept of turbulence – Turbulent fluctuation
    2. Equations of motion for the average flow
    3. Vertical structure of the wind
    4. Ekman Layer

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    ]]>         Mobile Communication Systems https://physics.upatras.gr/en/pms-courses/mobile-communication-systems/ Fri, 31 May 2024 16:05:36 +0000 https://physics.upatras.gr/pms-courses/mobile-communication-systems/ Introduction (Evolution of Mobile Communications), Basic Principles of Mobile’s Communication Cell Systems, Frequency Reuse Criterion and Cell’s Structure Analysis, One-Dimensional and Two-Dimensional Systems, Cell Splitting in respect to Telecommunication Traffic, Umbrella Cell Mechanism, Correlation of radio-network’s layer technical parameters with the Switching and Management Layer, Handover and Roaming Mechanisms, Radio Coverage Criterions, Electric and Electromagnetic [...]

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    ]]>     Introduction (Evolution of Mobile Communications), Basic Principles of Mobile’s Communication Cell Systems, Frequency Reuse Criterion and Cell’s Structure Analysis, One-Dimensional and Two-Dimensional Systems, Cell Splitting in respect to Telecommunication Traffic, Umbrella Cell Mechanism, Correlation of radio-network’s layer technical parameters with the Switching and Management Layer, Handover and Roaming Mechanisms, Radio Coverage Criterions, Electric and Electromagnetic features of special antenna systems, Interferences and effects of them in cell design, Analysis of interferences (co-channel interference, Intermodulation interference and adjacent channel interference), Radio-Channel Assignment Strategies (Fixed, Dynamic, Hybrid), Criterions – Management of radio-channels and algorithms for the execution of Handoff operation, Intra-Cell Handover, Design parameters on Base Station, Design parameters in Mobile Devices, Design of micro-cell and pico-cell systems, Special cases of cell systems design GSM, TETRA and UMTS, Satellite Mobile Telephony, Convergence of mobile ad hoc networks and wireless individual networks with the existing mobile communication systems on the level of radio-network, Position Services, Mobility and effect of Mobility in mobile communication systems, Quality of Services and cell radius in respect to capacity, SIR and BER, Field measurements and possible effects non-ionizing radiation.

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    ]]>         Measurements and Data Handling in Atmospheric Sciences https://physics.upatras.gr/en/pms-courses/measurements-and-data-handling-in-atmospheric-sciences/ Fri, 31 May 2024 16:03:43 +0000 https://physics.upatras.gr/pms-courses/measurements-and-data-handling-in-atmospheric-sciences/ The atmospheric variables and their metrics. Definition of Calibration – Examples Data Collection Systems – Programming – Acquisition of primary measurements. Quality Control of Atmospheric Data. Atmospheric Parameters Databases The most important databases of atmospheric data. Data acquisition from databases: Examples – Applications. Data management and visualization using R and Python programming languages. Atmospheric Time [...]

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  • The atmospheric variables and their metrics.
    1. Definition of Calibration – Examples
    2. Data Collection Systems – Programming – Acquisition of primary measurements.
    3. Quality Control of Atmospheric Data.
  • Atmospheric Parameters Databases
    1. The most important databases of atmospheric data.
    2. Data acquisition from databases: Examples – Applications.
  • Data management and visualization using R and Python programming languages.
  • Atmospheric Time Series
    1. Definition of Time Series – Stagnation.
    2. Time Series Standards.
    3. Time Domain: Discrete and Continuous Data.
    4. Frequency Domain: Harmonic and Spectral Analysis.
    5. Applications on R and Python Programming Languages

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    ]]>         Digital Image Processing and Statistical Signal Processing https://physics.upatras.gr/en/pms-courses/digital-image-processing-and-statistical-signal-processing/ Fri, 31 May 2024 15:51:58 +0000 https://physics.upatras.gr/pms-courses/digital-image-processing-and-statistical-signal-processing/ Two-dimensional signals (Principles, two-dimensional image, FFT spectrum) Two-dimensional image receive (sensors, errors, sampling, quantization. Optical sensors, SAR, Near Infrared, Thermal Infrared, X-rays, Electronics: CCDs). Ophthalmic physiology Color, Color spaces, Transforms in color spaces, The behavior of eye in color, Equal color distances. 2-D Linear Filters Three-dimensional signals-video, Spectral content, Velocity filters Image restoration (inverse problems, [...]

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  • Two-dimensional signals (Principles, two-dimensional image, FFT spectrum)
  • Two-dimensional image receive (sensors, errors, sampling, quantization. Optical sensors, SAR, Near Infrared, Thermal Infrared, X-rays, Electronics: CCDs).
  • Ophthalmic physiology
  • Color, Color spaces, Transforms in color spaces, The behavior of eye in color, Equal color distances.
  • 2-D Linear Filters
  • Three-dimensional signals-video, Spectral content, Velocity filters
  • Image restoration (inverse problems, distortion causes-correction method)
  • Image Enhancement
  • Image Analysis
  • Mathematical Morphology
  • Texture
  • Image segmentation
  • Techniques
  • Random sequences, Bernoulli Process, Binary white noise, Random walk, Discrete Wiener Process, Markov processes, Markov chains
  • Hidden Markov models, Viterbi algorithm
  • Estimation, Linear prediction

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    ]]>         Computer Vision – training https://physics.upatras.gr/en/pms-courses/computer-vision-training/ Fri, 31 May 2024 15:51:05 +0000 https://physics.upatras.gr/pms-courses/computer-vision-training/ k-mean clustering, fcm, vlad, Fuzzy logic Linear regression, logistic regression, linear SVM Non-linear regression, Non-linear classification, kernel SVM, k-NN, etc. Image recovery techniques Low-dimensional representations Gabor Filters PCA and LDA for face recognition ICA analysis Compression-codification-sparse representation NMF, Archetypal analysis Spectral clustering-Graphs – MST Neural networks Convolutional neural networks 3-D shapes description – analysis - [...]

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    ]]>     k-mean clustering, fcm, vlad, Fuzzy logic
    Linear regression, logistic regression, linear SVM
    Non-linear regression, Non-linear classification, kernel SVM, k-NN, etc.
    Image recovery techniques
    Low-dimensional representations
    Gabor Filters
    PCA and LDA for face recognition
    ICA analysis
    Compression-codification-sparse representation
    NMF, Archetypal analysis
    Spectral clustering-Graphs – MST
    Neural networks
    Convolutional neural networks
    3-D shapes description – analysis – classification

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    ]]>         Atmospheric Geophysical Signals and Remote Sensing https://physics.upatras.gr/en/pms-courses/atmospheric-geophysical-signals-and-remote-sensing/ Fri, 31 May 2024 08:34:14 +0000 https://physics.upatras.gr/pms-courses/atmospheric-geophysical-signals-and-remote-sensing/ Information sources on geophysical signals and remote sensing. Physics of the creation of these signals. Properties of the propagation means of the electromagnetic spectrum and pressure waves. Interaction of waves (EM and pressure) with matter. Remote sensing systems – Basic principles (Radar sources, visible light, infrared light and ultraviolent light). Existing satellite remote sensing means [...]

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    ]]>     Information sources on geophysical signals and remote sensing. Physics of the creation of these signals. Properties of the propagation means of the electromagnetic spectrum and pressure waves. Interaction of waves (EM and pressure) with matter.

    Remote sensing systems – Basic principles (Radar sources, visible light, infrared light and ultraviolent light). Existing satellite remote sensing means (LAND SATS, SPOT, JERS, SIR, SENTINEL). Main applications (Meteorological – Oceanological – Environmental, Minerals and Oil extraction – Geographical information)

    Methods of data fusion into a single representation. Fusion of multispectral, hyperspectral and thermal data into visible light’s images.

    Landslide observation techniques using satellite data. Factors that affect landslides and the level of affection. Information fusion methods for the construction of landslide risk maps.

    Physical operation of ground penetration radar (GPR). Operation of devices in different modes. Training in GPR signals that are received from the ground.

    SAR and InSAR signals. Physical operation of the sensors and image formation mechanisms. Error and artifacts avoidance mechanisms.

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    ]]>         System Design with Microcontrollers https://physics.upatras.gr/en/pms-courses/system-design-with-microcontrollers/ Fri, 31 May 2024 08:29:24 +0000 https://physics.upatras.gr/pms-courses/system-design-with-microcontrollers/ Introduction: Systems of signal receiving and registering, microcontrollers and sensors, embedded systems. Introduction to sensors: General features – limitations, types and arrays of sensors, connection and calibration techniques Architecture of Microcontrollers: Families – categories of microcontrollers, Arduino platform (structure and features) Structure – capabilities and basic architecture features of Atmega 328, Peripheral units and interrupts. [...]

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  • Introduction: Systems of signal receiving and registering, microcontrollers and sensors, embedded systems.
  • Introduction to sensors: General features – limitations, types and arrays of sensors, connection and calibration techniques
  • Architecture of Microcontrollers: Families – categories of microcontrollers, Arduino platform (structure and features)

    • Structure – capabilities and basic architecture features of Atmega 328, Peripheral units and interrupts.

    • Introduction to Arduino programming: Arduino IDE environment, programming of microcontrollers using C, structure of Sketch, types of data / operators. Development and call of functions, call of functions from libraries, creation of libraries. Bitwise operators and management of registers.
    • Architecture and programming of Atmega328 peripheral units: Management of digital and analog inputs/outputs, management of timers and interrupts. Communication SPI, I2C and Ethernet with serial interface.
    • Systems of receivers, registers and computers: Management tools of signal receiving and registering to computers. Basic Features, Organization and management of information data. LabView and systems of data collection. Applications and systems examples.
    • Introduction: Raspberry Pi 3 and system on chip (SoC) architectures. IoT and monitoring/recognition architectures. Operating systems and Python programming

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    ]]>         Digital VLSI Circuits https://physics.upatras.gr/en/pms-courses/digital-vlsi-circuits/ Fri, 31 May 2024 08:25:36 +0000 https://physics.upatras.gr/pms-courses/digital-vlsi-circuits/ CMOS Technology: Silicon semiconductor technologies, physical design(layout) rules, positive implications of CMOS technology, Design topics using computer, Construction topics. Circuits Characterization and Efficiency Estimation: Delay estimation, Logical effort and MOS transistor scaling, Interconnections, Design boundaries, Power consumption, MOS transistors calibration, Design tolerances, Reliability and nanoscale effects. Combinational Logic Design: Circuit families, Potential risks, Special circuit [...]

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  • CMOS Technology: Silicon semiconductor technologies, physical design(layout) rules, positive implications of CMOS technology, Design topics using computer, Construction topics.
  • Circuits Characterization and Efficiency Estimation: Delay estimation, Logical effort and MOS transistor scaling, Interconnections, Design boundaries, Power consumption, MOS transistors calibration, Design tolerances, Reliability and nanoscale effects.
  • Combinational Logic Design: Circuit families, Potential risks, Special circuit families, Low power circuit design, Comparison of circuit families.
  • Sequential Logic Design: Statistic sequential circuits, Design of latches and flip-flops, Dynamic sequential circuits, Synchronizers, Wave pipelining.
  • Circuit Simulation Techniques: Component and circuit models, Characterization by simulation of components and circuits, Simulation of interconnections.

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