✅ #PUCESE, organizó el webinar: "ARDUINO WEEK 2022 PUCESE"
✅ Arduino Week PUCE Esmeraldas- Charla con Expertos
➡️ This is an initiative developed by FIEC-ESPOL professors. Temperature and Speed Control Lab (TSC-LAB) is an open-source hardware development.
➡️ Topics
1- Introducción
2- Hardware de Código Abierto
3- Temperature and Speed Control Lab (TSC-LAB)
4- Códigos de ejemplo
5- Datasets
6- Publicaciones científicas
7- Proyectos
8- Cursos
⭐ Para más contenido visita nuestro blog:
https://vasanza.blogspot.com/
Η παρουσίαση της διπλωματικής μου εργασίας στο ΕΑΠ με τίτλο "Εφαρμογή ενός μετασχηματιστικού μοντέλου μικτής μάθησης στη διδασκαλία του Scratch σε σχέση με τους μαθησιακούς τύπους των μαθητών".
Παράδειγμα διαφοροποιημένης διδασκαλίας στην πληροφορική. Χρησιμοποιούμε ως παράδειγμα μια άσκηση στο powerpoint και εξετάζουμε τρόπους διαφοροποιημένης διδασκαλίας
Functional and non-functional testing with IoT-TestwareAxel Rennoch
The Internet of Things (IoT) is omnipresent. More and more hardware devices get connected and will collect and share huge amounts of data in the near future. This progress will lead to a digital and hyper-connected world. Though, in such growing networks of interconnected things, quality assurance (QA) will become a continuous challenge. Especially aspects like conformance, interoperability and security but also performance and robustness will require an increased attention from QA perspective.
Service Function Chaining in Openstack NeutronMichelle Holley
Service Function Chaining (SFC) uses software-defined networking (SDN) capabilities to create a service chain of connected network services (such as L4-7 like firewalls,
network address translation [NAT], intrusion protection) and connect them in a virtual chain. This capability can be used by network operators to set up suites or catalogs
of connected services that enable the use of a single network connection for many services, with different characteristics.
networking-sfc is a service plugin of Openstack neutron. The talk will go over the architecture, implementation, use-cases and latest enhancements to networking-sfc (the APIs and implementation to support service function chaining in neutron).
About the speaker: Farhad Sunavala is currently a principal architect/engineer working on Network Virtualization, Cloud service, and SDN technologies at Huawei Technology USA. He has led several wireless projects in Huawei including virtual EPC, service function chaining, etc. Prior to Huawei, he worked 17 years at Cisco. Farhad received his MS in Electrical and Computer Engineering from University of New Hampshire. His expertise includes L2/L3/L4 networking, Network Virtualization, SDN, Cloud Computing, and
mobile wireless networks. He holds several patents in platforms, virtualization, wireless, service-chaining and cloud computing. Farhad was a core member of networking-sfc.
Η παρουσίαση της διπλωματικής μου εργασίας στο ΕΑΠ με τίτλο "Εφαρμογή ενός μετασχηματιστικού μοντέλου μικτής μάθησης στη διδασκαλία του Scratch σε σχέση με τους μαθησιακούς τύπους των μαθητών".
Παράδειγμα διαφοροποιημένης διδασκαλίας στην πληροφορική. Χρησιμοποιούμε ως παράδειγμα μια άσκηση στο powerpoint και εξετάζουμε τρόπους διαφοροποιημένης διδασκαλίας
Functional and non-functional testing with IoT-TestwareAxel Rennoch
The Internet of Things (IoT) is omnipresent. More and more hardware devices get connected and will collect and share huge amounts of data in the near future. This progress will lead to a digital and hyper-connected world. Though, in such growing networks of interconnected things, quality assurance (QA) will become a continuous challenge. Especially aspects like conformance, interoperability and security but also performance and robustness will require an increased attention from QA perspective.
Service Function Chaining in Openstack NeutronMichelle Holley
Service Function Chaining (SFC) uses software-defined networking (SDN) capabilities to create a service chain of connected network services (such as L4-7 like firewalls,
network address translation [NAT], intrusion protection) and connect them in a virtual chain. This capability can be used by network operators to set up suites or catalogs
of connected services that enable the use of a single network connection for many services, with different characteristics.
networking-sfc is a service plugin of Openstack neutron. The talk will go over the architecture, implementation, use-cases and latest enhancements to networking-sfc (the APIs and implementation to support service function chaining in neutron).
About the speaker: Farhad Sunavala is currently a principal architect/engineer working on Network Virtualization, Cloud service, and SDN technologies at Huawei Technology USA. He has led several wireless projects in Huawei including virtual EPC, service function chaining, etc. Prior to Huawei, he worked 17 years at Cisco. Farhad received his MS in Electrical and Computer Engineering from University of New Hampshire. His expertise includes L2/L3/L4 networking, Network Virtualization, SDN, Cloud Computing, and
mobile wireless networks. He holds several patents in platforms, virtualization, wireless, service-chaining and cloud computing. Farhad was a core member of networking-sfc.
Native Support of Prometheus Monitoring in Apache Spark 3.0Databricks
All production environment requires monitoring and alerting. Apache Spark also has a configurable metrics system in order to allow users to report Spark metrics to a variety of sinks. Prometheus is one of the popular open-source monitoring and alerting toolkits which is used with Apache Spark together.
Tech talk about setting up an open source project given at Italian Developers in London meetup (Oct 1st, 2014)
http://www.meetup.com/Italian-Developers-in-London/events/205107652/
ACM Applicative System Methodology 2016Brendan Gregg
Video: https://youtu.be/eO94l0aGLCA?t=3m37s . Talk by Brendan Gregg for ACM Applicative 2016
"System Methodology - Holistic Performance Analysis on Modern Systems
Traditional systems performance engineering makes do with vendor-supplied metrics, often involving interpretation and inference, and with numerous blind spots. Much in the field of systems performance is still living in the past: documentation, procedures, and analysis GUIs built upon the same old metrics. For modern systems, we can choose the metrics, and can choose ones we need to support new holistic performance analysis methodologies. These methodologies provide faster, more accurate, and more complete analysis, and can provide a starting point for unfamiliar systems.
Methodologies are especially helpful for modern applications and their workloads, which can pose extremely complex problems with no obvious starting point. There are also continuous deployment environments such as the Netflix cloud, where these problems must be solved in shorter time frames. Fortunately, with advances in system observability and tracers, we have virtually endless custom metrics to aid performance analysis. The problem becomes which metrics to use, and how to navigate them quickly to locate the root cause of problems.
System methodologies provide a starting point for analysis, as well as guidance for quickly moving through the metrics to root cause. They also pose questions that the existing metrics may not yet answer, which may be critical in solving the toughest problems. System methodologies include the USE method, workload characterization, drill-down analysis, off-CPU analysis, and more.
This talk will discuss various system performance issues, and the methodologies, tools, and processes used to solve them. The focus is on single systems (any operating system), including single cloud instances, and quickly locating performance issues or exonerating the system. Many methodologies will be discussed, along with recommendations for their implementation, which may be as documented checklists of tools, or custom dashboards of supporting metrics. In general, you will learn to think differently about your systems, and how to ask better questions."
Using Compuware Strobe to Save CPU: 4 Real-life Cases from the Files of CPT G...Compuware
See four real-life examples of how CPT Global--a worldwide IT consulting services firm specializing in capacity planning, performance tuning and testing--uses Compuware Strobe for application performance monitoring and analysis to help customers save CPU by identifying inefficiencies in:
• COBOL code
• VSAM access
• A vendor product
• CICS system settings
C2MON - A highly scalable monitoring platform for Big Data scenarios @CERN by...J On The Beach
Developing reliable data acquisition, processing and control modules for mission critical systems - as they run at CERN - has always been challenging. As both data volumes and rates increase, non-functional requirements such as performance, availability, and maintainability are getting more important than ever. C2MON is a modular Open Source Java framework for realising highly available, large industrial monitoring and control solutions. It has been initially developed for CERN’s demanding infrastructure monitoring needs and is based on more than 10 years of experience with the Technical Infrastructure Monitoring (TIM) systems at CERN. Combining maintainability and high-availability within a portable architecture is the focus of this work. Making use of standard Java libraries for in-memory data management, clustering and data persistence, the platform becomes interesting for many Big Data scenarios.
Test Execution Infrastructure for IoT Quality analysisAxel Rennoch
Recently IoT testing becomes a popular topic in the industry and academic context. New challenges have been identified and existing test methods and techniques need to be collected, optimized and applied. Furthermore, innovative software development approaches are under consideration and partly implemented. However automated test execution still need powerful means and infrastructure. Open source projects like the Eclipse IoT-Testware project can provide valuable tools for advanced testing in IoT. The presentation gives an overview and first results with our IoT test Infrastructure.
⭐⭐⭐⭐⭐ Device Free Indoor Localization in the 28 GHz band based on machine lea...Victor Asanza
By exploiting the received power change in a communication link produced by the presence of a human body in an otherwise empty room, this work evaluates indoor free device localization methods in the 28 GHz band using machine learning techniques. For this objective, a database is built using results from ray tracing simulations of a system comprised of 4 receivers and up to 2 transmitters, while a person is standing within the room. Transmitters are equipped with uniform linear arrays that switch their main beams sequentially at 21 angles, whereas the receivers operate with omnidirectional antennas. Statistical localization error reduction of at least 16% over a global-based classification technique can be obtained through the combination of two independent classifiers using one transmitter and a reduction of at least 19% for 2 transmitters. An additional improvement is achieved by combining each independent classifier with a regression algorithm. Results also suggest that the number of examples per class and size of the blocks (strips) in which the study area is partitioned play a role in the localization error.
La siguiente partición funcional que incluye una Maquina Secuencial Sincrónica (MSS) y tres registros de sostenimiento, debe realizar el ingreso de datos a cada uno de los registros y luego permitirá encontrar el valor máximo y mínimo ingresado. Además, cada uno de los registros indicados es de 8 bits para mostrar los valores encontrados de máximo (Qmax) y mínimo (Qmin) serán de 8 bits cada uno. El sistema digital funciona con una MSS modelo Moore de la siguiente forma:
1. La MSS luego de ser reiniciado empieza en el estado inicial.
2. El Sistema Digital en el estado inicial, esperará que el usuario presione y suelte la tecla Start dos veces, luego de lo cual esperará el ingreso de datos.
3. El ingreso de datos se lo hará presentando un byte en la entrada Datos, presionando y soltando la tecla Load (el usuario deberá realizar este paso tres veces, uno por cada registro).
4. Luego de ingresar los 3 datos, el usuario deberá presionar y soltar la tecla Find. Esta señal es la que le indica a la MSS del Sistema Digital, que es momento de realizar la búsqueda del valor máximo y mínimo.
5. Una vez finalizado el proceso de búsqueda de los valores máximo y mínimo, se activará la salida Done. El valor máximo se guardará en el RegistroMax y se presentará en su salida Qmax, por otro lado, el valor mínimo se guardará en el RegistroMin y se presentará en su salida Qmin.
6. La señal Done, las salidas Qmax y Qmin se presentarán hasta que el usuario presione y suelte la tecla Start una vez, luego de lo cual la MSS regresará al estado inicial.
Researcher in fields like Digital Systems Design based on FPGA, Embedded Systems, Open-Source Hardware, Artificial Intelligence and Biomedical Signal Processing with a major research interest in Brain-Computer Interface.
⭐ For more information visit our blog:
https://vasanza.blogspot.com/
⭐⭐⭐⭐⭐ Trilateration-based Indoor Location using Supervised Learning AlgorithmsVictor Asanza
The indoor positioning system (IPS) has a wide range of applications, due to the advantages it has over Global Positioning Systems (GPS) in indoor environments. Due to the biosecurity measures established by the World Health Organization (WHO), where the social distancing is provided, being stricter in indoor environments. This work proposes the design of a positioning system based on trilateration. The main objective is to predict the positioning in both the ‘x’ and ‘y’ axis in an area of 8 square meters. For this purpose, 3 Access Points (AP) and a Mobile Device (DM), which works as a raster, have been used. The Received Signal Strength Indication (RSSI) values measured at each AP are the variables used in regression algorithms that predict the x and y position. In this work, 24 regression algorithms have been evaluated, of which the lowest errors obtained are 70.322 [cm] and 30.1508 [cm], for the x and y axes, respectively.
Published in: 2022 International Conference on Applied Electronics (AE)
⭐ For more information visit our blog:
https://vasanza.blogspot.com/
⭐⭐⭐⭐⭐ Learning-based Energy Consumption PredictionVictor Asanza
✅ Published in: https://doi.org/10.1016/j.procs.2022.07.035
As more people send information to the cloud-fog infrastructure, this brings many problems to the management of computer energy consumption. Therefore, energy consumption management of servers, fog devices and cloud computing platform should be investigated to comply with the Green IT requirement. In this paper, we propose an energy consumption prediction model consisting of several components such as hardware design, data pre-processing, characteristics extraction and selection. Our main goal is to develop a non-invasive meter based on a network of sensors that includes a microcontroller, the MQTT communication protocol and the energy measurement module. This meter measures voltage, current, power, frequency, energy and power factor while a dashboard is used to present the energy measurements in real-time. In particular, we perform measurements using a workstation that has similar characteristics to the servers of a Datacenter locate at the Information Technology Center in ESPOL,
which currently provide this type of services in Ecuador. For convenience, we evaluated different linear regression models to select the best one and to predict future energy consumption based on the several measurements from the workstation during several hours which enables the consumer to optimize and to reduce the maintenance costs of the IT equipment. The supervised machine learning algorithms presented in this work allow us to predict the energy consumption by hours and by days.
⭐ The matlab code used for data processing are available in: https://github.com/vasanza/Matlab_Code/tree/EnergyConsumptionPredictionDatacenter
⭐ The dataset used for data processing are available in:https://ieee-dataport.org/open-access/data-server-energy-consumption-dataset
✅ Read more related topics:
https://vasanza.blogspot.com/
This project analyses the optimal parameters for the shrimp farming, trying to help the aquaculture of Ecuador, using a cyberphysical system, which includes temperature, salinity, dissolved oxygen, and pH sensors to monitor the water conditions and an embedded system to control it using an XBee andATMega328p microcontrollers to remotely activate and deactivate aerators to maintain the quality of each pool in neat conditions.
⭐⭐⭐⭐⭐Classification of Subjects with Parkinson's Disease using Finger Tapping...Victor Asanza
La enfermedad de Parkinson es el segundo trastorno neurodegenerativo más común y afecta a más de 7 millones de personas en todo el mundo. En este trabajo, clasificamos a los sujetos con la enfermedad de Parkinson utilizando datos de la pulsación de los dedos en un teclado. Utilizamos una base de datos gratuita de Physionet con más de 9 millones de registros, preprocesada para eliminar los datos atípicos. En la etapa de extracción de características, obtuvimos 48 características. Utilizamos Google Colaboratory para entrenar, validar y probar nueve algoritmos de aprendizaje supervisado que detectan la enfermedad. Como resultado, conseguimos un grado de precisión superior al 98 %.
Examen 1er parcial que incluye temas de los capítulos:
Capítulo 1, historia de los sistemas IoT y sistemas ciberfísicos.
Capítulo 2, tipos de arquitecturas incluyendo las multiprocessor y multicore.
Capítulo 3, donde se estudia las memorias FLASH, RAM, EEPROM.
Capítulo 4, registros de configuraciones del ADC, PWM, comunicacion serial, I2C y SPI.
⭐ For more information visit our blog:
https://vasanza.blogspot.com/
⭐⭐⭐⭐⭐ #BCI System using a Novel Processing Technique Based on Electrodes Sele...Victor Asanza
This work proposes an end-to-end model architecture, from feature extraction to classification using an Artificial Neural Network. The feature extraction process starts from an initial set of signals acquired by electrodes of a Brain-Computer Interface (BCI). The proposed architecture includes the design and implementation of a functional six Degree-of-Freedom (DOF) prosthetic hand. A Field Programmable Gate Array (FPGA) translates electroencephalography (EEG) signals into movements in the prosthesis. We also propose a new technique for selecting and grouping electrodes, which is related to the motor intentions of the subject. We analyzed and predicted two imaginary motor-intention tasks: opening and closing both fists and flexing and extending both feet. The model implemented with the proposed architecture showed an accuracy of 93.7% and a classification time of 8.8y«s for the FPGA. These results present the feasibility to carry out BCI using machine learning techniques implemented in a FPGA card.
⭐ For more information visit our blog:
https://vasanza.blogspot.com/
⭐⭐⭐⭐⭐ SOLUCIÓN EVALUACIÓN FUNDAMENTOS DE ELECTRICIDAD Y SISTEMAS DIGITALES, 2...Victor Asanza
Problema 1A: (10%) Dado la siguiente expresión booleana que define el comportamiento de la señal de salida F sin minimizar, reducir dicha expresión usando mapas de Karnaugh (A, B, C, D) agrupando unos. Luego, seleccionar cuál de las siguientes opciones es la correcta.
Problema 2: (10%) Dado la siguiente expresión booleana que define el comportamiento de la señal de salida F sin minimizar, reducir dicha expresión usando mapas de Karnaugh (A, B, C, D) agrupando unos. Luego, seleccionar cuál de las siguientes opciones es la correcta.
Problema 3: (25%) Se desea diseñar un Sistemas Digital que capaz de controlar dos actuadores tipo bomba (A y B) en función del nivel de agua presente en un tanque. Este nivel de agua se monitorea con dos sensores (S0 y S1). El Sistemas Digital se muestra en la siguiente gráfica.
Problema 5: (15%): Dado el siguiente circuito digital, primero obtener la expresión resultante y luego seleccionar el mapa que corresponde al funcionamiento de dicha expresión.
Problema 6: (15%): Dado el siguiente circuito, encontrar la expresión booleana que define el comportamiento de la señal de salida F sin minimizar, luego reducir la expresión booleana usando mapas de Karnaugh (A, B, C, D) agrupando unos.
Problema 7: (20%). En la siguiente gráfica se puede observar el registro de un electrodo de Electromiografía (EMG) durante la ejecución de una tarea motora en extremidad superior. La señal EMG tiene una amplitud en el orden de los microvoltio - milivoltios y es susceptible a ruido debido a la adherencia del electrodo utilizado, frecuencia cardiaca, red eléctrica, tejido adiposo, etc. Como se muestra en la Fig. 1 el análisis post adquisición en el dominio de la frecuencia de la señal EMG indica que existe ruido de baja frecuencia menores a 5Hz debido a ruidos relacionados a movimientos relativos y en 50 Hz debido a la red eléctrica. Las señales EMG tienen información en el rango de 7 a 20Hz, por lo cual se sugiere diseñar un filtro RC paso banda que permita eliminar el ruido de la señal EMG.
⭐ For more information visit our blog:
https://vasanza.blogspot.com/
Problema #1 (50%) Dado el siguiente diagrama de un microprocesador genérico de 32 bits por instrucción de hasta 1023 instrucciones visto completamente en clase, que utiliza datos almacenados en memoria RAM (Register Files), como se muestra a continuación.
Problema #2: (10%) ¿Cuáles de las siguientes afirmaciones referentes a las memorias de Instrucciones de un microprocesador son ciertas?
Problema #3: (10%) ¿Cuáles de las siguientes afirmaciones referentes a las memorias EEPROM son ciertas?
Problema #4: (10%) ¿Cuáles de las siguientes afirmaciones referentes a las memorias de datos (Register File) son ciertas?
Problema #5: (20%) Shen et Al., escribió el paper titulado “An FPGA-based Distributed Computing System with Power and Thermal Management Capabilities” en donde desarrolla una plataforma computacional distribuida compuesta de múltiples FPGAs conectadas via Ethernet y cada FPGA está configurada como un sistema multi-core. Los núcleos en el mismo FPGA se comunican a través de la memoria compartida, mientras que diferentes FPGA se comunican a través de enlaces Ethernet, como se muestra en la siguiente gráfica.
⭐ For more information visit our blog:
https://vasanza.blogspot.com/
⭐⭐⭐⭐⭐ Performance Comparison of Database Server based on #SoC #FPGA and #ARM ...Victor Asanza
New emerging storage technologies have a great application for IoT systems. Running database servers on development boards, such as Raspberry or FPGA, has a great impact on effective performance when using large amounts of data while serving requests from many clients at the same time. In this paper, we designed and implemented an embedded system to monitor the access of a database using MySql database server installed on Linux in a standard FPGA DE10 with HPS resources. The database is designed to keep the information of an IoT system in charge of monitoring and controlling the temperature inside greenhouses. For comparison purposes, we carried out a performance analysis of the database service running on the FPGA and in a Raspberry Pi 4 B to determine the efficiency of the database server in both development cards. The performance metrics analyzed were response time, memory and CPU usage taking into account scenarios with one or more requests from clients simultaneously.
⭐ For more information visit our blog:
https://vasanza.blogspot.com/
La siguiente partición funcional que incluye una Maquina Secuencial Sincrónica (MSS) y tres registros de sostenimiento, debe realizar el ingreso de datos a cada uno de los registros y luego permitirá encontrar el valor máximo y mínimo ingresado. Además, cada uno de los registros indicados es de 8 bits para mostrar los valores encontrados de máximo (Qmax) y mínimo (Qmin) serán de 8 bits cada uno. El sistema digital funciona con una MSS modelo Moore de la siguiente forma:
1. La MSS luego de ser reiniciado empieza en el estado inicial.
2. El Sistema Digital en el estado inicial, esperará que el usuario presione y suelte la tecla Start dos veces, luego de lo cual esperará el ingreso de datos.
3. El ingreso de datos se lo hará presentando un byte en la entrada Datos, presionando y soltando la tecla Load (el usuario deberá realizar este paso tres veces, uno por cada registro).
4. Luego de ingresar los 3 datos, el usuario deberá presionar y soltar la tecla Find. Esta señal es la que le indica a la MSS del Sistema Digital, que es momento de realizar la búsqueda del valor máximo y mínimo.
5. Una vez finalizado el proceso de búsqueda de los valores máximo y mínimo, se activará la salida Done. El valor máximo se guardará en el RegistroMax y se presentará en su salida Qmax, por otro lado, el valor mínimo se guardará en el RegistroMin y se presentará en su salida Qmin.
6. La señal Done, las salidas Qmax y Qmin se presentarán hasta que el usuario presione y suelte la tecla Start una vez, luego de lo cual la MSS regresará al estado inicial.
⭐ For more information visit our blog:
https://vasanza.blogspot.com/
⭐⭐⭐⭐⭐ Charla FIEC: #SSVEP_EEG Signal Classification based on #Emotiv EPOC #BC...Victor Asanza
Este trabajo presenta el diseño experimental para el registro de señales de electroencefalografía (EEG) en 20 sujetos sometidos a potenciales evocados visualmente en estado estable (SSVEP). Además, la implementación de un sistema de clasificación basado en las señales SSVEP-EEG de la región occipital del cerebro obtenidas con el dispositivo Emotiv EPOC.
⭐ For more information visit our blog:
https://vasanza.blogspot.com/
⭐⭐⭐⭐⭐ #FPGA Based Meteorological Monitoring StationVictor Asanza
In this paper, we propose to implement a meteorological monitoring station using embedded systems. This model is possible thanks to different sensors that enable us to measure several environmental parameters, such as i) relative humidity, ii) average ambient temperature, iii) soil humidity, iv) rain occurrence, and v) light intensity. The proposed system is based on a field-programmable gate array device (FPGA). The proposed design aims at ensuring highresolution data acquisition and at predicting samples with precision and accuracy in real-time. To present the collected data, we develop also a web application with a simple and friendly user interface.
⭐ For more information visit our blog:
https://vasanza.blogspot.com/
⭐⭐⭐⭐⭐ SSVEP-EEG Signal Classification based on Emotiv EPOC BCI and Raspberry PiVictor Asanza
This work presents the experimental design for recording Electroencephalography (EEG) signals in 20 test subjects submitted to Steady-state visually evoked potential (SSVEP). The stimuli were performed with frequencies of 7, 9, 11 and 13 Hz. Furthermore, the implementation of a classification system based on SSVEP-EEG signals from the occipital region of the brain obtained with the Emotiv EPOC device is presented. These data were used to train algorithms based on artificial intelligence in a Raspberry Pi 4 Model B. Finally, this work demonstrates the possibility of classifying with times of up to 1.8 ms in embedded systems with low computational capacity.
⭐ For more information visit our blog:
https://vasanza.blogspot.com/
⭐⭐⭐⭐⭐ SOLUCIÓN LECCIÓN FUNDAMENTOS DE ELECTRICIDAD Y SISTEMAS DIGITALES, 2do ...Victor Asanza
Problema #1,2,3: (10%) El siguiente circuito es de un filtro paso banda. Los datos del circuito son los siguientes, R1 = 1K[Ω] y R2 = 1K[Ω]. ¿cuáles de las siguientes afirmaciones son correctas?
Problema #4,5,6: (10%) El siguiente bloque convertidor analógico digital (ADC) de 8 bits de resolución, se tiene un voltaje de referencia de 5Vcc. ¿cuáles de las siguientes afirmaciones son correctas?
⭐ For more information visit our blog:
https://vasanza.blogspot.com/
Problema #1 (x%). El siguiente es un Sistema Digital que tiene las señales ‘A’,’ B’, ‘C’ y ‘D’ como entradas de un bit; por otro lado, la señal ‘Y’ es una salida de un bit tal como se muestra en la siguiente imagen:
El comportamiento de la señal de salida ‘Y’ en función de las señales de entrada, es descrito con el siguiente código VHDL:
Código GitHub:
https://github.com/vasanza/MSI-VHDL/blob/2021PAO1/ExamenParcial/ExamSD1_1.vhd
Realizar los siguientes desarrollos:
a) Usando mapas de karnaught y agrupamiento de minterms (SOP), simplificar la expresión booleana hasta obtener su minima expresión (x/2 %).
b) Utilizando puertas lógicas, graficar el circuito que represente a la ecuación simplificada en el literal anterior (x/2 %).
Problema #2 (x%). El siguiente es un Sistema Digital que tiene las señales ‘A’ y ‘B’ como entradas de dos bits; por otro lado, la señal ‘Y’ es una salida de dos bits tal como se muestra en la siguiente imagen:
El comportamiento de la señal de salida ‘Y’ en función de las señales de entrada, es descrito con el siguiente código VHDL:
Código GitHub:
https://github.com/vasanza/MSI-VHDL/blob/2021PAO1/ExamenParcial/ExamSD1_2.vhd
Realizar los siguientes desarrollos:
a) Usando mapas de karnaught y agrupamiento de minterms (SOP), simplificar la expresión booleana hasta obtener su minima expresión de Y(1) = f(A(1),A(0),B(1),B(0)) y Y(0) = f(A(1),A(0),B(1),B(0)) (x/2 %).
b) Indicar con sus propias palabras el funcioamiento que realiza el sistemas digital propuesto (x/2 %).
⭐ For more information visit our blog:
https://vasanza.blogspot.com/
Propuesta 1: BÚSQUEDA DE DATOS
Propuesta 2-3: ORDENAMIENTO DE DATOS
Propuesta 4: Microprocessor Architecture.
⭐ For more information visit our blog:
https://vasanza.blogspot.com/
Proyectos propuestos basados en MSS:
VALOR MÍNIMO DE 3 NÚMEROS
VALOR MÁXIMO DE 3 NÚMEROS
VALOR PROMEDIO DE 4 NÚMEROS
CONTADOR UP EN GRAY
CONTADOR DOWN EN BCD
VALIDADOR DE CLAVE DE 3 DIGITOS
SUMADOR DE 3 NUMEROS BCD
VALIDADOR DE 3 NÚMEROS ASCENDENTES
VALIDADOR DE 3 NÚMEROS DESCENDENTE
VALIDADOR DE 3 NÚMEROS MULTIPLOS DE BASE 2
⭐ For more information visit our blog:
https://vasanza.blogspot.com/
Operation “Blue Star” is the only event in the history of Independent India where the state went into war with its own people. Even after about 40 years it is not clear if it was culmination of states anger over people of the region, a political game of power or start of dictatorial chapter in the democratic setup.
The people of Punjab felt alienated from main stream due to denial of their just demands during a long democratic struggle since independence. As it happen all over the word, it led to militant struggle with great loss of lives of military, police and civilian personnel. Killing of Indira Gandhi and massacre of innocent Sikhs in Delhi and other India cities was also associated with this movement.
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This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
The Roman Empire A Historical Colossus.pdfkaushalkr1407
The Roman Empire, a vast and enduring power, stands as one of history's most remarkable civilizations, leaving an indelible imprint on the world. It emerged from the Roman Republic, transitioning into an imperial powerhouse under the leadership of Augustus Caesar in 27 BCE. This transformation marked the beginning of an era defined by unprecedented territorial expansion, architectural marvels, and profound cultural influence.
The empire's roots lie in the city of Rome, founded, according to legend, by Romulus in 753 BCE. Over centuries, Rome evolved from a small settlement to a formidable republic, characterized by a complex political system with elected officials and checks on power. However, internal strife, class conflicts, and military ambitions paved the way for the end of the Republic. Julius Caesar’s dictatorship and subsequent assassination in 44 BCE created a power vacuum, leading to a civil war. Octavian, later Augustus, emerged victorious, heralding the Roman Empire’s birth.
Under Augustus, the empire experienced the Pax Romana, a 200-year period of relative peace and stability. Augustus reformed the military, established efficient administrative systems, and initiated grand construction projects. The empire's borders expanded, encompassing territories from Britain to Egypt and from Spain to the Euphrates. Roman legions, renowned for their discipline and engineering prowess, secured and maintained these vast territories, building roads, fortifications, and cities that facilitated control and integration.
The Roman Empire’s society was hierarchical, with a rigid class system. At the top were the patricians, wealthy elites who held significant political power. Below them were the plebeians, free citizens with limited political influence, and the vast numbers of slaves who formed the backbone of the economy. The family unit was central, governed by the paterfamilias, the male head who held absolute authority.
Culturally, the Romans were eclectic, absorbing and adapting elements from the civilizations they encountered, particularly the Greeks. Roman art, literature, and philosophy reflected this synthesis, creating a rich cultural tapestry. Latin, the Roman language, became the lingua franca of the Western world, influencing numerous modern languages.
Roman architecture and engineering achievements were monumental. They perfected the arch, vault, and dome, constructing enduring structures like the Colosseum, Pantheon, and aqueducts. These engineering marvels not only showcased Roman ingenuity but also served practical purposes, from public entertainment to water supply.
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Macroeconomics- Movie Location
This will be used as part of your Personal Professional Portfolio once graded.
Objective:
Prepare a presentation or a paper using research, basic comparative analysis, data organization and application of economic information. You will make an informed assessment of an economic climate outside of the United States to accomplish an entertainment industry objective.
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http://sandymillin.wordpress.com/iateflwebinar2024
Published classroom materials form the basis of syllabuses, drive teacher professional development, and have a potentially huge influence on learners, teachers and education systems. All teachers also create their own materials, whether a few sentences on a blackboard, a highly-structured fully-realised online course, or anything in between. Despite this, the knowledge and skills needed to create effective language learning materials are rarely part of teacher training, and are mostly learnt by trial and error.
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This webinar will introduce you to my framework, highlighting the key competencies I identified from my research. It will also show how anybody involved in language teaching (any language, not just English!), teacher training, managing schools or developing language learning materials can benefit from using the framework.
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June 3, 2024 Anti-Semitism Letter Sent to MIT President Kornbluth and MIT Cor...Levi Shapiro
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The US House of Representatives is deeply concerned by ongoing and pervasive acts of antisemitic
harassment and intimidation at the Massachusetts Institute of Technology (MIT). Failing to act decisively to ensure a safe learning environment for all students would be a grave dereliction of your responsibilities as President of MIT and Chair of the MIT Corporation.
This Congress will not stand idly by and allow an environment hostile to Jewish students to persist. The House believes that your institution is in violation of Title VI of the Civil Rights Act, and the inability or
unwillingness to rectify this violation through action requires accountability.
Postsecondary education is a unique opportunity for students to learn and have their ideas and beliefs challenged. However, universities receiving hundreds of millions of federal funds annually have denied
students that opportunity and have been hijacked to become venues for the promotion of terrorism, antisemitic harassment and intimidation, unlawful encampments, and in some cases, assaults and riots.
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• The Committee on Education and the Workforce has been investigating your institution since December 7, 2023. The Committee has broad jurisdiction over postsecondary education, including its compliance with Title VI of the Civil Rights Act, campus safety concerns over disruptions to the learning environment, and the awarding of federal student aid under the Higher Education Act.
• The Committee on Oversight and Accountability is investigating the sources of funding and other support flowing to groups espousing pro-Hamas propaganda and engaged in antisemitic harassment and intimidation of students. The Committee on Oversight and Accountability is the principal oversight committee of the US House of Representatives and has broad authority to investigate “any matter” at “any time” under House Rule X.
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The French Revolution, which began in 1789, was a period of radical social and political upheaval in France. It marked the decline of absolute monarchies, the rise of secular and democratic republics, and the eventual rise of Napoleon Bonaparte. This revolutionary period is crucial in understanding the transition from feudalism to modernity in Europe.
For more information, visit-www.vavaclasses.com
The French Revolution Class 9 Study Material pdf free download
⭐⭐⭐⭐⭐ CHARLA #PUCESE Arduino Week: Hardware de Código Abierto TSC-LAB
1. Hardware de Código Abierto
TSC-LAB
By Víctor Asanza
Docente e Investigador de ESPOL
2. Agenda
1- Introducción
2- Hardware de Código Abierto
3- Temperature and Speed Control Lab (TSC-LAB)
4- Códigos de ejemplo
5- Datasets
6- Publicaciones científicas
7- Proyectos
8- Cursos
3. This is an initiative developed by FIEC-ESPOL professors. Temperature and
Speed Control Lab (TSC-LAB) is an open-source hardware development.
1- Introducción
https://tsc-lab.blogspot.com/
4. 1- Introducción
Adquisición, Control y Monitoreo de datos de temperatura y velocidad de
motor DC en plataformas IoT.
https://tsc-lab.blogspot.com/p/courses.html
5. 2- Hardware de Código Abierto
https://tsc-lab.blogspot.com/p/code.html
7. 3- Temperature and Speed Control Lab (TSC-LAB)
TSC-Lab is an open-source hardware. Here are the technical specifications of
how to use and connect the module, the detail of each component of the
module without the need to include the schematics.
https://tsc-lab.blogspot.com/p/data-sheet.html
8. 3- Temperature and Speed Control Lab (TSC-LAB)
Technical specifications:
• Controller based on ESP32
• Peripherals and indicators for the user: Voltage test
and ESP test.
• 6.0 V DC motor with no-load speed: 7600RPM and
current consumption of 23mA.
• Motodriver L293D.
• Optical encoder soldered on the PCB.
• 3D printed disk coupled to the DC motor.
• Two DS18B20 temperature sensors.
• Two TIP31 transistors.
• Power supply based on LM7805.
• DC jack for external power supply (max. 9VDC).
• External PCB power supply selector jumper / USB.
• Double sided PCB 132.25 x 70.75cm.
• 3mm thick translucent acrylic sheet.
https://tsc-lab.blogspot.com/p/data-sheet.html
9. 3- Temperature and Speed Control Lab (TSC-LAB)
TSC-Lab modular design, based on Top - Down hardware design method:
https://tsc-lab.blogspot.com/p/data-sheet.html
10. 3- Temperature and Speed Control Lab (TSC-LAB)
PCB (Top Layer):
https://tsc-lab.blogspot.com/p/data-sheet.html
11. 3- Temperature and Speed Control Lab (TSC-LAB)
PCB (Bottom Layer):
https://tsc-lab.blogspot.com/p/data-sheet.html
12. 3- Temperature and Speed Control Lab (TSC-LAB)
3D printed parts:
https://tsc-lab.blogspot.com/p/data-sheet.html
13. 3- Temperature and Speed Control Lab (TSC-LAB)
https://tsc-lab.blogspot.com/p/data-sheet.html
14. 3- Temperature and Speed Control Lab (TSC-LAB)
● View Documentation: https://github.com/vasanza/TSC-Lab
● Download TSC-Lab design document:
https://tsc-lab.blogspot.com/p/data-sheet.html
15. 4- Códigos de ejemplo
SOFTWARE
USB DATA ACQUISITION - OPEN LOOP (Temperature Control Lab)
USB DATA ACQUISITION - OPEN LOOP (Speed Control Lab)
MATLAB DATA ACQUISITION (USB)
SYSTEM IDENTIFICATION (Matlab)
SISO PID CONTROLLER DESIGN (Matlab)
CLOSED-LOOP WITH CONTROLLER IN MATLAB (*)
OTHER TYPES OF CONNECTIONS (*)
MQTT DATA ACQUISITION
CLOSED-LOOP WITH CONTROLLER IN ESP32
MORE POWERFUL APPLICATIONS
https://tsc-lab.blogspot.com/p/summary.html
16. 4- Códigos de ejemplo
SOFTWARE
USB DATA ACQUISITION - OPEN LOOP (Temperature Control Lab)
USB DATA ACQUISITION - OPEN LOOP (Speed Control Lab)
MATLAB DATA ACQUISITION (USB)
SYSTEM IDENTIFICATION (Matlab)
SISO PID CONTROLLER DESIGN (Matlab)
CLOSED-LOOP WITH CONTROLLER IN MATLAB (*)
OTHER TYPES OF CONNECTIONS (*)
MQTT DATA ACQUISITION
CLOSED-LOOP WITH CONTROLLER IN ESP32
MORE POWERFUL APPLICATIONS
https://tsc-lab.blogspot.com/p/summary.html
17. 4- Códigos de ejemplo
USB DATA ACQUISITION - OPEN LOOP
(Temperature Control Lab)
1. Initial setups and tests
2. Ambient temperature reading using sensor 1 and
2
3. Activation of Transistor 1 and Reading of
temperature sensor 1 and 2
4. Activation of Transistor 2 and Reading of
temperature sensor 1 and 2
5. Activation of Transistor 1 and 2, also Reading of
temperature sensor 1 and 2
https://tsc-lab.blogspot.com/p/summary.html
18. 4- Códigos de ejemplo
USB DATA ACQUISITION - OPEN LOOP
(Temperature Control Lab)
1. Initial setups and tests
2. Ambient temperature reading using sensor 1 and
2
3. Activation of Transistor 1 and Reading of
temperature sensor 1 and 2
4. Activation of Transistor 2 and Reading of
temperature sensor 1 and 2
5. Activation of Transistor 1 and 2, also Reading of
temperature sensor 1 and 2
https://tsc-lab.blogspot.com/p/summary.html
19. 4- Códigos de ejemplo
USB DATA ACQUISITION - OPEN LOOP
(Temperature Control Lab)
1. Initial setups and tests
2. Ambient temperature reading using sensor 1 and
2
3. Activation of Transistor 1 and Reading of
temperature sensor 1 and 2
4. Activation of Transistor 2 and Reading of
temperature sensor 1 and 2
5. Activation of Transistor 1 and 2, also Reading of
temperature sensor 1 and 2
https://tsc-lab.blogspot.com/p/summary.html
20. 4- Códigos de ejemplo
USB DATA ACQUISITION - OPEN LOOP
(Temperature Control Lab)
1. Initial setups and tests
2. Ambient temperature reading using sensor 1 and
2
3. Activation of Transistor 1 and Reading of
temperature sensor 1 and 2
4. Activation of Transistor 2 and Reading of
temperature sensor 1 and 2
5. Activation of Transistor 1 and 2, also Reading of
temperature sensor 1 and 2
https://tsc-lab.blogspot.com/p/summary.html
21. 4- Códigos de ejemplo
USB DATA ACQUISITION - OPEN LOOP (Speed
Control Lab)
6. Initial setups and tests (ON/OFF)
7. Speed control using PWM
8. Motor direction control and Speed control
9. Encoder Implementation (RPM)
10. Data acquisition with square velocity input
https://tsc-lab.blogspot.com/p/summary.html
22. 4- Códigos de ejemplo
USB DATA ACQUISITION - OPEN LOOP (Speed
Control Lab)
6. Initial setups and tests (ON/OFF)
7. Speed control using PWM
8. Motor direction control and Speed control
9. Encoder Implementation (RPM)
10. Data acquisition with square velocity input
https://tsc-lab.blogspot.com/p/summary.html
23. 4- Códigos de ejemplo
MATLAB DATA ACQUISITION (USB)
11. Temperature Control Lab
12. Speed Control Lab
https://tsc-lab.blogspot.com/p/summary.html
https://github.com/vasanza/TSC-Lab/tree/main/Practice11
24. 4- Códigos de ejemplo
MATLAB DATA ACQUISITION (USB)
11. Temperature Control Lab
12. Speed Control Lab
https://tsc-lab.blogspot.com/p/summary.html
https://github.com/vasanza/TSC-Lab/tree/main/Practice12
25. 4- Códigos de ejemplo
SYSTEM IDENTIFICATION (Matlab)
13. System 1, using temperature sensor 1 and
transistor 1 or sensor 2 and transistor 2
14. System 2, using both temperature sensors and
both transistors
15. System 3, using Motor
https://tsc-lab.blogspot.com/p/summary.html
https://github.com/vasanza/TSC-Lab/tree/main/Practice15
26. 4- Códigos de ejemplo
SYSTEM IDENTIFICATION (Matlab)
13. System 1, using temperature sensor 1 and
transistor 1 or sensor 2 and transistor 2
14. System 2, using both temperature sensors and
both transistors
15. System 3, using Motor
https://tsc-lab.blogspot.com/p/summary.html
https://github.com/vasanza/TSC-Lab/tree/main/Practice15
27. 4- Códigos de ejemplo
SISO PID CONTROLLER DESIGN (Matlab)
16. System 1, using temperature sensor 1 and
transistor 1 or sensor 2 and transistor 2
17. System 2, using both temperature sensors and
both transistors
18. System 3, using DC Motor
https://tsc-lab.blogspot.com/p/summary.html
28. 4- Códigos de ejemplo
CLOSED-LOOP WITH CONTROLLER IN MATLAB
19. SISO using temperature sensor 1 and transistor 1
or sensor 2 and transistor 2
20. SISO using both temperature sensors and both
transistors
21. SISO using DC Motor
https://tsc-lab.blogspot.com/p/summary.html
https://github.com/vasanza/TSC-Lab/tree/main/Practice21
35. 4- Códigos de ejemplo
MQTT DATA ACQUISITION
28. MQTT connection (MQTTLens)
29. MQTT Server (mydata-lab)
30. MQTT Server (mydata-lab) + Telegram
https://tsc-lab.blogspot.com/p/summary.html
https://github.com/vasanza/TSC-Lab/tree/main/Practice28
36. 4- Códigos de ejemplo
CLOSED-LOOP WITH CONTROLLER IN ESP32
31. SISO using temperature sensor 1 and transistor 1
or sensor 2 and transistor 2
32. SISO using both temperature sensors and both
transistors
33. SISO using DC Motor
https://tsc-lab.blogspot.com/p/summary.html
37. 4- Códigos de ejemplo
MORE POWERFUL APPLICATIONS
34. Using two core of ESP-32
35. Deep sleep to TSC-Lab
36. Motor Speed and Temperature Combination
https://tsc-lab.blogspot.com/p/summary.html
https://github.com/vasanza/TSC-Lab/tree/main/Practice34
https://lastminuteengineers.com/esp32-sleep-modes-power-
consumption/
38. 4- Códigos de ejemplo
MORE POWERFUL APPLICATIONS
34. Using two core of ESP-32
35. Deep sleep to TSC-Lab
36. Motor Speed and Temperature Combination
https://tsc-lab.blogspot.com/p/summary.html
https://github.com/vasanza/TSC-Lab/tree/main/Practice35
https://lastminuteengineers.com/esp32-sleep-modes-power-
consumption/
39. 4- Códigos de ejemplo
MORE POWERFUL APPLICATIONS
34. Using two core of ESP-32
35. Deep sleep to TSC-Lab
36. Motor Speed and Temperature Combination
https://tsc-lab.blogspot.com/p/summary.html
https://github.com/vasanza/TSC-Lab/tree/main/Practice35
https://lastminuteengineers.com/esp32-sleep-modes-power-
consumption/
40. 4- Códigos de ejemplo
MORE POWERFUL APPLICATIONS
34. Using two core of ESP-32
35. Deep sleep to TSC-Lab
36. Motor Speed and Temperature Combination
https://tsc-lab.blogspot.com/p/summary.html
https://github.com/vasanza/TSC-Lab/tree/main/Practice35
https://lastminuteengineers.com/esp32-sleep-modes-power-
consumption/
41. 5- Datasets
Víctor Asanza, Kevin Chica-Orellana, Jonathan Cagua, Douglas Plaza,
César Martín, Diego Hernan Peluffo-Ordóñez, April 25, 2021,
"Temperature and Speed Control Lab (TSC-Lab)", IEEE Dataport, doi:
https://dx.doi.org/10.21227/8cty-6069.
42. 5- Datasets
Víctor Asanza, Kevin Chica-Orellana, Jonathan Cagua, Diego Hernan
Peluffo-Ordóñez, July 13, 2021, "TSC-LAB", IEEE Dataport, doi:
https://dx.doi.org/10.21227/pxtr-0a07.
43. 6- Publicaciones científicas
J. Capelo et al., "Raspberry Pi-based IoT for shrimp farms Real-time
remote monitoring with automated system," 2021 International
Conference on Applied Electronics (AE), 2021, pp. 1-4, doi:
10.23919/AE51540.2021.9542907.
44. 6- Publicaciones científicas
J. Capelo et al., "Raspberry Pi-based IoT for shrimp farms Real-time
remote monitoring with automated system," 2021 International
Conference on Applied Electronics (AE), 2021, pp. 1-4, doi:
10.23919/AE51540.2021.9542907.
45. 6- Publicaciones científicas
A. Maisincho-Jivaja et al., "Monitoring a turkey hatchery based on a
cyber-physical system," 2021 International Conference on Applied
Electronics (AE), 2021, pp. 1-6, doi: 10.23919/AE51540.2021.9542899.
46. 6- Publicaciones científicas
A. Maisincho-Jivaja et al., "Monitoring a turkey hatchery based on a
cyber-physical system," 2021 International Conference on Applied
Electronics (AE), 2021, pp. 1-6, doi: 10.23919/AE51540.2021.9542899.
47. 6- Publicaciones científicas
A. Maisincho-Jivaja et al., "Monitoring a turkey hatchery based on a
cyber-physical system," 2021 International Conference on Applied
Electronics (AE), 2021, pp. 1-6, doi: 10.23919/AE51540.2021.9542899.
51. For more information
Mail: vasanza@espol.edu.ec
Web: www.vasanza.blogspot.com
Facultad de Ingeniería en Electricidad y Computación, FIEC
Escuela Superior Politécnica del Litoral, ESPOL
Guayaquil, Ecuador