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Volume 1 (2008): Edizione 2 (January 2008)

Volume 1 (2008): Edizione 1 (January 2008)

Dettagli della rivista
Formato
Rivista
eISSN
1178-5608
Pubblicato per la prima volta
01 Jan 2008
Periodo di pubblicazione
1 volta all'anno
Lingue
Inglese

Cerca

Volume 10 (2017): Edizione 4 (January 2017)

Dettagli della rivista
Formato
Rivista
eISSN
1178-5608
Pubblicato per la prima volta
01 Jan 2008
Periodo di pubblicazione
1 volta all'anno
Lingue
Inglese

Cerca

10 Articoli
Accesso libero

FRAMEWORK IMPLEMENTATION, FIRMWARE DEVELOPMENT AND CHARACTERIZATION OF FLEX-SPI COMMUNICATION PROTOCOL: ENERGY CONSUMPTION ANALYSIS AND COMPARISON WITH I2C STANDARD

Pubblicato online: 01 Dec 2017
Pagine: 1 - 39

Astratto

Abstract

In this paper, we report a detailed description of developed Flex-SPI firmware structure together with experimental tests carried out by using ad-hoc instrumental setups based on TI MSP- EXP430F5438 experimenter boards. Developed framework, aimed to provide a solid base to test the possibility of performing a shared SPI communication with a fixed number of wires without renouncing to push-pull output stage advantages, has been implemented and successfully validated. Also, FlexSPI energy consumption has been evaluated and then compared with the I2C one, by proper experimental setups and related data processing: the two protocols, in fact, share several features, although they rely on a different hardware configuration. The energy/bit metric was chosen so that the two output stages can be compared regardless the effective quantity of exchanged packets; thus, this measure provides an indication of necessary energy amount to move a single bit to guarantee the correct firmware functionality. Despite larger quantity of exchanged data due to channel reservation needs (with a 35% traffic overhead, in the performed tests), the FlexSPI total energy consumption is comparable with the I2C one, at the same communication speed; thus a lower energy/bit requirement is required for FlexSPI protocol, decreasing with the negotiated speed, in this way proving FlexSPI protocol as a suited and valid choice for high-speed low-consumption communications inside embedded systems with a developed architecture capable of great flexibility.

Parole chiave

  • communication protocol
  • smart objects
  • FlexSPI
  • firmware
  • energy consumption
  • PIC
  • IC
Accesso libero

A ST X-NUCLEO-BASED TELEMETRY UNIT FOR DETECTION AND WiFi TRANSMISSION OF COMPETITION CAR SENSORS DATA: FIRMWARE DEVELOPMENT, SENSORS TESTING AND REAL-TIME DATA ANALYSIS

Pubblicato online: 01 Dec 2017
Pagine: 1 - 36

Astratto

Abstract

Telemetry is a technology that allows remote measurement and transmission of moving car information, allowing to collect a huge amount of data that are interpreted to ensure that car is performing at its optimum. In this research work, by using electronic modules and sensors available at very low costs, a reliable and accurate telemetry system was realized in order to monitor physical and mechanical parameters of a racing vehicle during its motion. Implemented data acquisition and wireless communication unit allows to collect, on board of vehicle, the temperature of engine compartment and cooling liquid, suspensions’ extensions, vehicle speed and also its orientation and acceleration and to send wirelessly all these data to a base station, where are monitored by technical staff, so ensuring quick intervention in case of malfunctioning. STM32 Nucleo development board, heart of realized telemetry system, properly programmed with the developed firmware, acquires data from used sensors and, through a WiFi radio module, sends them to the base station; the data are also stored on a SD memory card to avoid data losses. Sparkfun CAN module is employed for this aim and to interface the engine control unit with ST Nucleo board. Experimental tests were carried out for verifying correct operation of realized system; by analyzing trends over time of monitored vehicle parameters as function of the vehicle movements, driving conditions and race track, the technicians ensure safety of pilot life and also an optimization of the vehicle performances.

Parole chiave

  • Telemetry
  • sensors
  • electronic modules
  • firmware
  • wireless monitoring
  • prototype testing
Accesso libero

PERFORMANCE EVALUATION OF SVM KERNELS ON MULTISPECTRAL LISS III DATA FOR OBJECT CLASSIFICATION

Pubblicato online: 01 Dec 2017
Pagine: 1 - 16

Astratto

Abstract

Object based classification plays an important role in every field. Support vector machine is the popular algorithm for object based classification. Support vector machine classifies the data points using straight line. Some datasets are impossible to separate by straight line. To cope with this problem kernel function is used. The central idea of kernel function is to project points up in a higher dimensional space hoping that separability of data would improve. There are various kernels in the LIBSVM package. In this paper, Support Vector Machine (SVM) is evaluated as classifier with four different kernels namely linear kernel, polynomial kernel, radial basis function kernel and sigmoid kernel. Several datasets are being experimented to find out the performance of various kernels of SVM .By changing the value of ‘C’ and γ varying results are observed. Among these RBF kernel with a value of C = 1000 and gamma=0.75 got an excellent accuracy of 99.1509%.The SVM-RBF kernel gave an edge over the other kernels with an accuracy of 99.1509% while linear at 98.9623%, polynomial at 98.6792% and Sigmoid at 98.5849%.

Parole chiave

  • SVM
  • LibSVM
  • Kernels
  • Object based classification
  • Transformed Divergence
Accesso libero

PLANNING OF REMOTE EXPERIMENTAL RESEARCH ON EFFECTS OF GREENHOUSE MICROCLIMATE PARAMETERS ON VEGETABLE CROP-PRODUCING

Pubblicato online: 01 Dec 2017
Pagine: 1 - 18

Astratto

Abstract

the article presents a plan on experimental studies on substantiation of structural and algorithmic organization of computer-aided systems of remote adaptive monitoring and control of microclimate parameters of commercial greenhouses. There was developed a program component for remote monitoring of physicochemical parameters of greenhouse microclimate using the ‘Internet of Thing’ technology and modern mobile devices. There was offered a hardware component architecture of the system of monitoring and control of greenhouse microclimate parameters. Mathematical model of experimental research of the system was developed for five independent factors based on rotatable design planning of the second order. There were substantiated trends of priority research on efficiency improvement of commercial greenhouse complexes through realization and implementation of adaptive control algorithms of modes for vegetable crops growing.

Parole chiave

  • plan of experiment
  • microclimate
  • greenhouse
  • monitoring
  • control
Accesso libero

PERFORMANCE EVALUATION OF SVM KERNELS ON MULTISPECTRAL LISS III DATA FOR OBJECT CLASSIFICATION

Pubblicato online: 01 Dec 2017
Pagine: 1 - 16

Astratto

Abstract

Object based classification plays an important role in every field. Support vector machine is the popular algorithm for object based classification. Support vector machine classifies the data points using straight line. Some datasets are impossible to separate by straight line. To cope with this problem kernel function is used. The central idea of kernel function is to project points up in a higher dimensional space hoping that separability of data would improve. There are various kernels in the LIBSVM package. In this paper, Support Vector Machine (SVM) is evaluated as classifier with four different kernels namely linear kernel, polynomial kernel, radial basis function kernel and sigmoid kernel. Several datasets are being experimented to find out the performance of various kernels of SVM .By changing the value of ‘C’ and γ varying results are observed. Among these RBF kernel with a value of C = 1000 and gamma=0.75 got an excellent accuracy of 99.1509%.The SVM-RBF kernel gave an edge over the other kernels with an accuracy of 99.1509% while linear at 98.9623%, polynomial at 98.6792% and Sigmoid at 98.5849%.

Parole chiave

  • SVM
  • LibSVM
  • Kernels
  • Object based classification
  • Transformed Divergence
Accesso libero

LOAD AWARE CHANNEL ESTIMATION AND CHANNEL SCHEDULING FOR 2.4GHZ FREQUENCY BAND BASED WIRELESS NETWORKS FOR SMART GRID APPLICATIONS

Pubblicato online: 01 Dec 2017
Pagine: 1 - 24

Astratto

Abstract

The advanced monitoring and control applications consider Wireless Sensor Networks (WSN) as a promising technology for modern applications like the Internet of Things (IoT), Smart Grid and Wireless Body Area Networks (WBAN). The WSN has important features like less cost, low power usage, supportable data rates and complexity. There is a need for continuous research on improving characteristics and abilities of WSN. The reliable performance of WSN depends on the latency necessities depending on the type of application and Quality of Service (QoS) parameters. The technologies like Zigbee, WiFi, and Bluetooth operating in 2.4GHz are mostly considered for deploying the WSN. Because of coexistence environment, the performance of Zigbee gets affected in terms of channel switching and causes the significant amount of delay. Also, the data transmission should be performed without any collision. In this paper, initially, the pseudorandom – based interference evading scheme is introduced for efficient data communication. During this scheme, if node attains a channel it must wait for a network reconfiguration time for moving to next channel. Hence, during this time other nodes are allowed for moving to the new channel. Secondly, for moving to the new channel load aware channel estimation is proposed to assess the possibility of traffic weight assignment at each channel. Finally, the Particle swarm optimization (PSO) based collision avoiding multiple-channel based superframe scheduling is proposed for IEEE 802.15.4 based wireless networks working under the influence of IEEE 802.11b network. The channel with best energy function is selected for data transmission. The work proposed in this paper is evaluated based on the comparison to the existing works. From the results obtained it is inferred as proposed work shows better performance in terms of packet error rate, packet delivery ratio, and energy consumed when compared to the existing algorithms.

Parole chiave

  • IEEE 802.15.4
  • IEEE 802.11b
  • Channel Scheduling
  • Coexistence
  • 2.4GHz ISM band
  • Packet Error Rate
  • Packet Delivery Ratio
  • Wireless Sensor Networks
  • Smart Grid
Accesso libero

Dwipa Ontology III: Implementation of Ontology Method Enrichment on Tourism Domain

Pubblicato online: 01 Dec 2017
Pagine: 1 - 17

Astratto

Abstract

This article summarizes some research results related to ontology enrichment specific to tourism domains from 2014 to 2017. Currently, some ontology enrichment approaches can use learning machinery such as support vector machine (SVM), Conditional Random Field (CRF) and kNN. Several studies have also been successful in evaluating ontology enrichment results with several parameters such as precision, recall and F-Measure. In addition, our research can enrich Dwipa Ontology II which has been successfully done by population to object / sample. The method used in this research is ontology enrichment method. This technique or method is used to show background knowledge (ontology) by adding new concepts and relationships through the extraction process. The enrichment process is done on semi-automated web document (corpus). The process using statistics and linguistics, by applying evaluation techniques by using reviewers in the field of tourism. The end result of Dwipa Ontology III (enriched ontology) contains 4 main classes, 15 subclasses and 199 samples / objects. The expansion of general concept / subclass knowledge under the attraction classes are: cultural parks, artists and monuments.

Parole chiave

  • Ontology Enrichment
  • machine learning
  • statistics
  • linguistics
  • tourism domain
  • semi-automatic
  • Ontology Dwipa III
Accesso libero

EVALUATION OF BEHAVIOR ESTIMATION USING WARD’S METHOD IN MULTIFUNCTION OUTLET SYSTEM

Pubblicato online: 01 Dec 2017
Pagine: 1 - 15

Astratto

Abstract

Home Energy Management System (HEMS) is standard as a system for reducing power consumption in ordinary homes. The system prevents the users from forgetting to turn off home appliances. However the system is too simple to more reduce power consumption. Therefore we aim to reduce power consumption by figuring out a user’s behavior to control home appliances. However to estimate user’s behavior is difficult for the system. So we develop Multifunction Outlet System into a function to control home appliances. The function uses Ward’s method which is an unsupervised learning for estimation of a user’s behavior. In this paper, we evaluated a result of estimate of a user’s behavior from sensor data by Ward’s method.

Parole chiave

  • Ward’s method
  • Sensor Networks
  • HEMS
Accesso libero

I-PD CONTROL DESIGN AND ANALYSIS IN AN ISLANDED MICROGRID SYSTEM

Pubblicato online: 01 Dec 2017
Pagine: 1 - 20

Astratto

Abstract

Voltage and frequency control is very important especially to face the migration from conventional to smart grid. In conventional way, voltage and frequency are regulated from the main power plant. However, in a smart grid system, the controller can be distributed into sub-system. A microgrid as a key sub-system must have independent control especially in islanded or stand-alone mode. This paper presents an approach named Integral-Proportional Derivative (I-PD) to control the three-phase voltage in a microgrid. In the simulation using MATLAB, a distributed energy resource unit applying voltage-source converter in order to have three-phase voltage from a DC-source is taken into account. Using system identification to simplify the controller design generates a linear model of the system. The compensated system shows a very good reference tracking capability during set point and load changes. It also reduces the coupling effect due to active and reactive power.

Parole chiave

  • smart grid
  • microgrid
  • voltage control
  • distributed generator
  • energy control
Accesso libero

AN ARDUINO UNO BASED BIOSENSOR FOR WATER POLLUTION MONITORING USING IMMOBILISED ALGAE CHLORELLA VULGARIS

Pubblicato online: 01 Dec 2017
Pagine: 1 - 21

Astratto

Abstract

This paper presents a simple biosensor for observing the dissolved oxygen (DO) production in water. The measuring process is implemented using the biochips G connected with a biosensor module and electronic circuit to detect the changes of dissolved oxygen in real time measurement. Initial test was completed to observe the biochip response to the different oxygenated water solution. A light and dark experiment with ON/OFF phase of 20 minutes illumination period was realized to stimulate the green algae Chlorella vulgaris photosynthesis process to DO rate. The results show Biochip G using algae Chlorella vulgaris response to environmental changing conditions in the form of relationship between output voltage and DO rate the solution.

Parole chiave

  • Biosensor
  • Algae Chlorella vulgaris
  • Dissolved Oxygen
  • Real Time Detection
  • Biochip G
10 Articoli
Accesso libero

FRAMEWORK IMPLEMENTATION, FIRMWARE DEVELOPMENT AND CHARACTERIZATION OF FLEX-SPI COMMUNICATION PROTOCOL: ENERGY CONSUMPTION ANALYSIS AND COMPARISON WITH I2C STANDARD

Pubblicato online: 01 Dec 2017
Pagine: 1 - 39

Astratto

Abstract

In this paper, we report a detailed description of developed Flex-SPI firmware structure together with experimental tests carried out by using ad-hoc instrumental setups based on TI MSP- EXP430F5438 experimenter boards. Developed framework, aimed to provide a solid base to test the possibility of performing a shared SPI communication with a fixed number of wires without renouncing to push-pull output stage advantages, has been implemented and successfully validated. Also, FlexSPI energy consumption has been evaluated and then compared with the I2C one, by proper experimental setups and related data processing: the two protocols, in fact, share several features, although they rely on a different hardware configuration. The energy/bit metric was chosen so that the two output stages can be compared regardless the effective quantity of exchanged packets; thus, this measure provides an indication of necessary energy amount to move a single bit to guarantee the correct firmware functionality. Despite larger quantity of exchanged data due to channel reservation needs (with a 35% traffic overhead, in the performed tests), the FlexSPI total energy consumption is comparable with the I2C one, at the same communication speed; thus a lower energy/bit requirement is required for FlexSPI protocol, decreasing with the negotiated speed, in this way proving FlexSPI protocol as a suited and valid choice for high-speed low-consumption communications inside embedded systems with a developed architecture capable of great flexibility.

Parole chiave

  • communication protocol
  • smart objects
  • FlexSPI
  • firmware
  • energy consumption
  • PIC
  • IC
Accesso libero

A ST X-NUCLEO-BASED TELEMETRY UNIT FOR DETECTION AND WiFi TRANSMISSION OF COMPETITION CAR SENSORS DATA: FIRMWARE DEVELOPMENT, SENSORS TESTING AND REAL-TIME DATA ANALYSIS

Pubblicato online: 01 Dec 2017
Pagine: 1 - 36

Astratto

Abstract

Telemetry is a technology that allows remote measurement and transmission of moving car information, allowing to collect a huge amount of data that are interpreted to ensure that car is performing at its optimum. In this research work, by using electronic modules and sensors available at very low costs, a reliable and accurate telemetry system was realized in order to monitor physical and mechanical parameters of a racing vehicle during its motion. Implemented data acquisition and wireless communication unit allows to collect, on board of vehicle, the temperature of engine compartment and cooling liquid, suspensions’ extensions, vehicle speed and also its orientation and acceleration and to send wirelessly all these data to a base station, where are monitored by technical staff, so ensuring quick intervention in case of malfunctioning. STM32 Nucleo development board, heart of realized telemetry system, properly programmed with the developed firmware, acquires data from used sensors and, through a WiFi radio module, sends them to the base station; the data are also stored on a SD memory card to avoid data losses. Sparkfun CAN module is employed for this aim and to interface the engine control unit with ST Nucleo board. Experimental tests were carried out for verifying correct operation of realized system; by analyzing trends over time of monitored vehicle parameters as function of the vehicle movements, driving conditions and race track, the technicians ensure safety of pilot life and also an optimization of the vehicle performances.

Parole chiave

  • Telemetry
  • sensors
  • electronic modules
  • firmware
  • wireless monitoring
  • prototype testing
Accesso libero

PERFORMANCE EVALUATION OF SVM KERNELS ON MULTISPECTRAL LISS III DATA FOR OBJECT CLASSIFICATION

Pubblicato online: 01 Dec 2017
Pagine: 1 - 16

Astratto

Abstract

Object based classification plays an important role in every field. Support vector machine is the popular algorithm for object based classification. Support vector machine classifies the data points using straight line. Some datasets are impossible to separate by straight line. To cope with this problem kernel function is used. The central idea of kernel function is to project points up in a higher dimensional space hoping that separability of data would improve. There are various kernels in the LIBSVM package. In this paper, Support Vector Machine (SVM) is evaluated as classifier with four different kernels namely linear kernel, polynomial kernel, radial basis function kernel and sigmoid kernel. Several datasets are being experimented to find out the performance of various kernels of SVM .By changing the value of ‘C’ and γ varying results are observed. Among these RBF kernel with a value of C = 1000 and gamma=0.75 got an excellent accuracy of 99.1509%.The SVM-RBF kernel gave an edge over the other kernels with an accuracy of 99.1509% while linear at 98.9623%, polynomial at 98.6792% and Sigmoid at 98.5849%.

Parole chiave

  • SVM
  • LibSVM
  • Kernels
  • Object based classification
  • Transformed Divergence
Accesso libero

PLANNING OF REMOTE EXPERIMENTAL RESEARCH ON EFFECTS OF GREENHOUSE MICROCLIMATE PARAMETERS ON VEGETABLE CROP-PRODUCING

Pubblicato online: 01 Dec 2017
Pagine: 1 - 18

Astratto

Abstract

the article presents a plan on experimental studies on substantiation of structural and algorithmic organization of computer-aided systems of remote adaptive monitoring and control of microclimate parameters of commercial greenhouses. There was developed a program component for remote monitoring of physicochemical parameters of greenhouse microclimate using the ‘Internet of Thing’ technology and modern mobile devices. There was offered a hardware component architecture of the system of monitoring and control of greenhouse microclimate parameters. Mathematical model of experimental research of the system was developed for five independent factors based on rotatable design planning of the second order. There were substantiated trends of priority research on efficiency improvement of commercial greenhouse complexes through realization and implementation of adaptive control algorithms of modes for vegetable crops growing.

Parole chiave

  • plan of experiment
  • microclimate
  • greenhouse
  • monitoring
  • control
Accesso libero

PERFORMANCE EVALUATION OF SVM KERNELS ON MULTISPECTRAL LISS III DATA FOR OBJECT CLASSIFICATION

Pubblicato online: 01 Dec 2017
Pagine: 1 - 16

Astratto

Abstract

Object based classification plays an important role in every field. Support vector machine is the popular algorithm for object based classification. Support vector machine classifies the data points using straight line. Some datasets are impossible to separate by straight line. To cope with this problem kernel function is used. The central idea of kernel function is to project points up in a higher dimensional space hoping that separability of data would improve. There are various kernels in the LIBSVM package. In this paper, Support Vector Machine (SVM) is evaluated as classifier with four different kernels namely linear kernel, polynomial kernel, radial basis function kernel and sigmoid kernel. Several datasets are being experimented to find out the performance of various kernels of SVM .By changing the value of ‘C’ and γ varying results are observed. Among these RBF kernel with a value of C = 1000 and gamma=0.75 got an excellent accuracy of 99.1509%.The SVM-RBF kernel gave an edge over the other kernels with an accuracy of 99.1509% while linear at 98.9623%, polynomial at 98.6792% and Sigmoid at 98.5849%.

Parole chiave

  • SVM
  • LibSVM
  • Kernels
  • Object based classification
  • Transformed Divergence
Accesso libero

LOAD AWARE CHANNEL ESTIMATION AND CHANNEL SCHEDULING FOR 2.4GHZ FREQUENCY BAND BASED WIRELESS NETWORKS FOR SMART GRID APPLICATIONS

Pubblicato online: 01 Dec 2017
Pagine: 1 - 24

Astratto

Abstract

The advanced monitoring and control applications consider Wireless Sensor Networks (WSN) as a promising technology for modern applications like the Internet of Things (IoT), Smart Grid and Wireless Body Area Networks (WBAN). The WSN has important features like less cost, low power usage, supportable data rates and complexity. There is a need for continuous research on improving characteristics and abilities of WSN. The reliable performance of WSN depends on the latency necessities depending on the type of application and Quality of Service (QoS) parameters. The technologies like Zigbee, WiFi, and Bluetooth operating in 2.4GHz are mostly considered for deploying the WSN. Because of coexistence environment, the performance of Zigbee gets affected in terms of channel switching and causes the significant amount of delay. Also, the data transmission should be performed without any collision. In this paper, initially, the pseudorandom – based interference evading scheme is introduced for efficient data communication. During this scheme, if node attains a channel it must wait for a network reconfiguration time for moving to next channel. Hence, during this time other nodes are allowed for moving to the new channel. Secondly, for moving to the new channel load aware channel estimation is proposed to assess the possibility of traffic weight assignment at each channel. Finally, the Particle swarm optimization (PSO) based collision avoiding multiple-channel based superframe scheduling is proposed for IEEE 802.15.4 based wireless networks working under the influence of IEEE 802.11b network. The channel with best energy function is selected for data transmission. The work proposed in this paper is evaluated based on the comparison to the existing works. From the results obtained it is inferred as proposed work shows better performance in terms of packet error rate, packet delivery ratio, and energy consumed when compared to the existing algorithms.

Parole chiave

  • IEEE 802.15.4
  • IEEE 802.11b
  • Channel Scheduling
  • Coexistence
  • 2.4GHz ISM band
  • Packet Error Rate
  • Packet Delivery Ratio
  • Wireless Sensor Networks
  • Smart Grid
Accesso libero

Dwipa Ontology III: Implementation of Ontology Method Enrichment on Tourism Domain

Pubblicato online: 01 Dec 2017
Pagine: 1 - 17

Astratto

Abstract

This article summarizes some research results related to ontology enrichment specific to tourism domains from 2014 to 2017. Currently, some ontology enrichment approaches can use learning machinery such as support vector machine (SVM), Conditional Random Field (CRF) and kNN. Several studies have also been successful in evaluating ontology enrichment results with several parameters such as precision, recall and F-Measure. In addition, our research can enrich Dwipa Ontology II which has been successfully done by population to object / sample. The method used in this research is ontology enrichment method. This technique or method is used to show background knowledge (ontology) by adding new concepts and relationships through the extraction process. The enrichment process is done on semi-automated web document (corpus). The process using statistics and linguistics, by applying evaluation techniques by using reviewers in the field of tourism. The end result of Dwipa Ontology III (enriched ontology) contains 4 main classes, 15 subclasses and 199 samples / objects. The expansion of general concept / subclass knowledge under the attraction classes are: cultural parks, artists and monuments.

Parole chiave

  • Ontology Enrichment
  • machine learning
  • statistics
  • linguistics
  • tourism domain
  • semi-automatic
  • Ontology Dwipa III
Accesso libero

EVALUATION OF BEHAVIOR ESTIMATION USING WARD’S METHOD IN MULTIFUNCTION OUTLET SYSTEM

Pubblicato online: 01 Dec 2017
Pagine: 1 - 15

Astratto

Abstract

Home Energy Management System (HEMS) is standard as a system for reducing power consumption in ordinary homes. The system prevents the users from forgetting to turn off home appliances. However the system is too simple to more reduce power consumption. Therefore we aim to reduce power consumption by figuring out a user’s behavior to control home appliances. However to estimate user’s behavior is difficult for the system. So we develop Multifunction Outlet System into a function to control home appliances. The function uses Ward’s method which is an unsupervised learning for estimation of a user’s behavior. In this paper, we evaluated a result of estimate of a user’s behavior from sensor data by Ward’s method.

Parole chiave

  • Ward’s method
  • Sensor Networks
  • HEMS
Accesso libero

I-PD CONTROL DESIGN AND ANALYSIS IN AN ISLANDED MICROGRID SYSTEM

Pubblicato online: 01 Dec 2017
Pagine: 1 - 20

Astratto

Abstract

Voltage and frequency control is very important especially to face the migration from conventional to smart grid. In conventional way, voltage and frequency are regulated from the main power plant. However, in a smart grid system, the controller can be distributed into sub-system. A microgrid as a key sub-system must have independent control especially in islanded or stand-alone mode. This paper presents an approach named Integral-Proportional Derivative (I-PD) to control the three-phase voltage in a microgrid. In the simulation using MATLAB, a distributed energy resource unit applying voltage-source converter in order to have three-phase voltage from a DC-source is taken into account. Using system identification to simplify the controller design generates a linear model of the system. The compensated system shows a very good reference tracking capability during set point and load changes. It also reduces the coupling effect due to active and reactive power.

Parole chiave

  • smart grid
  • microgrid
  • voltage control
  • distributed generator
  • energy control
Accesso libero

AN ARDUINO UNO BASED BIOSENSOR FOR WATER POLLUTION MONITORING USING IMMOBILISED ALGAE CHLORELLA VULGARIS

Pubblicato online: 01 Dec 2017
Pagine: 1 - 21

Astratto

Abstract

This paper presents a simple biosensor for observing the dissolved oxygen (DO) production in water. The measuring process is implemented using the biochips G connected with a biosensor module and electronic circuit to detect the changes of dissolved oxygen in real time measurement. Initial test was completed to observe the biochip response to the different oxygenated water solution. A light and dark experiment with ON/OFF phase of 20 minutes illumination period was realized to stimulate the green algae Chlorella vulgaris photosynthesis process to DO rate. The results show Biochip G using algae Chlorella vulgaris response to environmental changing conditions in the form of relationship between output voltage and DO rate the solution.

Parole chiave

  • Biosensor
  • Algae Chlorella vulgaris
  • Dissolved Oxygen
  • Real Time Detection
  • Biochip G

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