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Informacje o czasopiśmie
Format
Czasopismo
eISSN
1178-5608
Pierwsze wydanie
01 Jan 2008
Częstotliwość wydawania
1 raz w roku
Języki
Angielski

Wyszukiwanie

Tom 10 (2017): Zeszyt 3 (January 2017)

Informacje o czasopiśmie
Format
Czasopismo
eISSN
1178-5608
Pierwsze wydanie
01 Jan 2008
Częstotliwość wydawania
1 raz w roku
Języki
Angielski

Wyszukiwanie

12 Artykułów
Otwarty dostęp

TWO-DEGREE ADJUSTABLE EXOSKELETON FOR ASSISTANCE OF THE HUMAN ARM USING A MECHANICAL SYSTEM OF FAST ASSEMBLY AND UPGRADABILITY

Data publikacji: 01 Mar 2017
Zakres stron: 1 - 15

Abstrakt

Abstract

Stroke affects about 975,000 people annually. Currently different robotic systems are used, such as exoskeletons that support motor rehabilitation, where they sometimes increase the patient’s possible recovery rate. But these systems are expensive and often require adequate locations for therapy routines. This article offers the mechanical design of an exoskeleton concept for human upper limbs that allows the attachment to the arm and forearm, offering protection, torque, and movement, plus the possibility to adapt to different arm sizes. The biomechanics of the human arm, the kinematics required by the exoskeleton, different design criteria for this type of system, the CAD model, and the simulation of a robotic exoskeleton with an active and passive degree of freedom are considered. As a main result, the exoskeleton includes the biomechanics of the human arm so that its kinematics allow for adequate human arm movements for providing mechanical assistance, data acquisition and analysis, but also safety.

Słowa kluczowe

  • Active orthosis
  • Exoskeleton
  • Interactive adaptation
  • Wearable-robot
Otwarty dostęp

OPERATION PRINCIPLE, ADVANCED PROCEDURES AND VALIDATION OF A NEW FLEX-SPI COMMUNICATION PROTOCOL FOR SMART IoT DEVICES

Data publikacji: 01 Mar 2017
Zakres stron: 1 - 45

Abstrakt

Abstract

In this paper, we report on hardware structure, operation mode and software development for a new advanced communication protocol whose aim is obtaining a fully shared SPI bus with a fixed amount of wires, without renouncing to advantages of a push-pull output stage and obtaining an architecture capable of great flexibility. All four signals of a classic SPI protocol are entirely shared by the slaves on bus: when a master wants to communicate with a particular device, it will perform an addressing at packet level: starting from its main characteristics, various adopted solutions to realize a shared SPI bus will be analyzed, explaining how a communication session is performed. The firmware structure was designed as a software stack composed by interacting layers, tracing model of similar protocols that share with FlexSPI some features. Some of the advanced procedures that can be performed thanks to this protocol will be discussed, highlighting the suitability of FlexSPI for dynamic smart objects; in fact, by adding these features to developed framework, it is possible to explore and appreciate expandability of this communication protocol, making it suitable to meet advanced IoT requirements of smart objects. FlexSPI can be built like a MAC layer above the SPI bus, to process all necessary pieces of information to perform the packet level addressing, using a stack having a layered architecture. This is idea followed in the firmware development, to implement this communication protocol, experimentally verified in the performed and reported communication tests, confirming that it is possible to obtain a shared push-pull bus.

Słowa kluczowe

  • IoT
  • communication protocols
  • smart objects
  • FlexSPI
  • software procedures
  • shared bus
  • PIC
Otwarty dostęp

GRID-EDGE-DEPTH MAP BUILDING EMPLOYING SAD WITH SOBEL EDGE DETECTOR

Data publikacji: 01 Mar 2017
Zakres stron: 1 - 16

Abstrakt

Abstract

This paper presents a new method of a map building which is suitable for a wheeled robot. The 2D map represents the obstacle’s position and distance in the environment. The information of the obstacles obtained from a calibrated stereo camera. The stereo images size were 320x240 pixels. Hereafter the images were rectified and the disparity map was built using a Sum of Absolute Difference (SAD) algorithm. The depth map was calculated using disparity map, focal length, and baseline parameter values. In order to detect the obstacles, Sobel edge detection was implemented. The edge detection image was compared and substituted with the depth map which is resulting edge-depth map. The edge-depth map was divided into 25 grids (5 grids horizontal and 5 grids vertical). Finally, the minimum depth of detected obstacles for each grid was calculated. This process was resulting in a grid-edge-depth map (GED map). The proposal has been tested with a mobile robot in 5x3 meters living environment. Finally, experimental results are presented. The average error of feature points in the previous study was 5.40 cm, whereas in this study is 3.82 cm. There has been a decrease in the measurement gap of 29.26% from the previous study.

Słowa kluczowe

  • Disparity
  • grid-edge-depth map
  • SAD
  • Sobel
  • stereo camera
  • wheeled robot
Otwarty dostęp

A REVIEW ON MULTIPLE-FEATURE-BASED ADAPTIVE SPARSE REPRESENTATION (MFASR) AND OTHER CLASSIFICATION TYPES

Data publikacji: 01 Mar 2017
Zakres stron: 1 - 27

Abstrakt

Abstract

A new technique Multiple-feature-based adaptive sparse representation (MFASR) has been demonstrated for Hyperspectral Images (HSI’s) classification. This method involves mainly in four steps at the various stages. The spectral and spatial information reflected from the original Hyperspectral Images with four various features. A shape adaptive (SA) spatial region is obtained in each pixel region at the second step. The algorithm namely sparse representation has applied to get the coefficients of sparse for each shape adaptive region in the form of matrix with multiple features. For each test pixel, the class label is determined with the help of obtained coefficients. The performances of MFASR have much better classification results than other classifiers in the terms of quantitative and qualitative percentage of results. This MFASR will make benefit of strong correlations that are obtained from different extracted features and this make use of effective features and effective adaptive sparse representation. Thus, the very high classification performance was achieved through this MFASR technique.

Słowa kluczowe

  • Hyperspectral Images
  • Classification
  • Adaptive sparse representation
  • Feature extraction
  • Sparse representation
Otwarty dostęp

UNSUPERVISED LEARNING FOR RIPENESS ESTIMATION FROM GRAPE SEEDS IMAGES

Data publikacji: 01 Mar 2017
Zakres stron: 1 - 19

Abstrakt

Abstract

Estimating the current stage of grape ripeness is a crucial step in wine making and becomes especially important during harvesting. Visual inspection of grape seeds is one method to achieve this goal without performing chemical analysis, however this method is prone to failure. In this paper, we propose an unsupervised visual inspection system for grape ripeness estimation using the Dirichlet Mixture Model (DMM). Experimental analysis using real world data demonstrates that our approach can be used to estimate different ripeness stages from unlabeled grape seeds catalogs.

Słowa kluczowe

  • Mixture model
  • grape ripening
  • computer vision
Otwarty dostęp

INITIAL ALIGNMENT OF FIBER-OPTIC INERTIAL NAVIGATION SYSTEM WITH LARGE MISALIGNMENT ANGLES BASED ON GENERALIZED PROPORTIONAL-INTEGRAL-DERIVATIVE FILTER

Data publikacji: 01 Mar 2017
Zakres stron: 1 - 17

Abstrakt

Abstract

Initial alignment in the presence of large misalignment angles is a critical issue in strapdown inertial navigation systems. The large initial misalignment angle adversely affects the accuracy and rapidness of the alignment process. In this paper a novel robust alignment approach is proposed based on a generalized proportional-integral-derivative filter. The proposed alignment approach has some significant advantages compared to the standard Kalman filter based alignment method. This method increases the accuracy and the convergence speed of the alignment process in the large misalignment angles problem. Experimental results also, verify the prominent performance of the presented approach in comparison to conventional standard Kalman filter based alignment method.

Słowa kluczowe

  • Index terms: Standard Kalman Filter
  • Generalized Proportional-Integral-Derivative Filter
  • Strapdown Inertial Navigation System
  • Initial Alignment
  • Large Misalignment Angles
Otwarty dostęp

HARDWARE IMPLEMENTATION OF METHODOLOGIES OF FIXED POINT DIVISION ALGORITHMS

Data publikacji: 01 Mar 2017
Zakres stron: 1 - 16

Abstrakt

Abstract

This paper describes the hardware implementation methodologies of fixed point binary division algorithms. The implementations have been extended for the execution of the reciprocal of the binary numbers. Radix-2 (binary) implementations of digit recurrence and multiplicative based methods have been considered for comparison. Functionality of the algorithms have been verified in Verilog hardware description language (HDL) and synthesized in Xilinx ISE 8.2i targeting the device xc4vlx15-12sf363 of Virtex4 family. Implementation was done for both signed and unsigned number systems, having bit width of operands vary as an exponential function of 2n, where n=2 to 5. Performance parameters have been calculated in terms of clock frequency, FPGA slice utilization, latency and power consumption. Implementation results indicate that multiplicative based algorithm is superior in terms of latency, while digit recurrence algorithms are consuming low power along-with less area overhead.

Słowa kluczowe

  • Digit recurrence
  • Division algorithm
  • Fixed point
  • FPGA
  • Newton-Raphson
  • Verilog
Otwarty dostęp

DESIGNING AND PROTOTYPING A SENSORS HEAD FOR TEST AND CERTIFICATION OF UAV COMPONENTS

Data publikacji: 01 Mar 2017
Zakres stron: 1 - 27

Abstrakt

Abstract

The project proposed in this paper deals with the design and the development of an embedded test system able to characterize both electrical and mechanical performances of UAVs (Unmanned Aerial Vehicles) propulsion subsystems (motor and propeller). The measurement data that can be collected are of great interest for professional applications, as well as for amateur makers. Starting from the measures acquired by the presented system, it will be possible to deliver certificates that guarantee the customer that the performances obtained by the drone are compliant to what declared by the seller.

Słowa kluczowe

  • UAVs
  • propulsion
  • sensors
  • electric motors
  • test
  • certification
Otwarty dostęp

IDENTIFICATION OF TWO TYPES OF ROTTEN MEAT USING AN ELECTRONIC NOSE FOR FOOD QUALITY CONTROL

Data publikacji: 01 Mar 2017
Zakres stron: 1 - 23

Abstrakt

Abstract

Microorganisms are contained in all foods, some of them don’t pose a risk for consumers, but many others became pathogenic, because of bad conservation or expired dates. Food will be degraded when the number of microorganisms became very large. The focus in this paper will be on the design of an electronic nose used in detecting rotten food. This nose is applied to detect bad odor diffused by rotten beef, and rotten chicken those meat have almost the same odor at rottenness which is not easily identified by human. Durations and gases emit of its rotten are determined by the pattern recognition methods PCA (Principal Components Analysis) for classification and DFA (Discriminate factorial analysis) for dating, and we will be identify between those rotten meat by DFA method.

Słowa kluczowe

  • Electronic nose
  • rotten beef
  • rotten chicken
  • sensors
  • Principal Components Analysis
  • Discriminate Factorial Analysis
  • Pattern recognition system
Otwarty dostęp

INTELLIGENT ENVIRONMENTAL SENSING WITH AN UNMANNED AERIAL SYSTEM IN A WIRELESS SENSOR NETWORK

Data publikacji: 01 Mar 2017
Zakres stron: 1 - 22

Abstrakt

Abstract

This paper proposes a novel environmental monitoring mechanism to integrate recently- established development of an Unmanned Aerial System (UAS) with WSNs for remote monitoring. The high mobility of UASs can solve the limitations associated with using WSNs in hazardous areas. In this paper, the WSN node, the Wireless Environmental Monitoring Station (WEMS), is based on ZigBee protocol for long-duration monitoring. Furthermore, to ensure the integrity of collected environmental data, an algorithm is designed in WEMS for verification. Finally, a detailed analysis of packet transmission efficiency based on ranges of flight distance is proposed to examine the effect of environmental monitoring.

Słowa kluczowe

  • Wireless Sensor Networks
  • Unmanned Aerial System
  • ZigBee
  • Remote monitoring
  • Remote Sensing
  • Data collection
Otwarty dostęp

MODELING AND DESIGNING A FULL BEAMFORMER FOR ACOUSTIC SENSING AND MEASUREMENT

Data publikacji: 01 Mar 2017
Zakres stron: 1 - 17

Abstrakt

Abstract

Acoustic sensing is a viable approach for solving issues related to many applications, namely, biomedical, distance measurements, mechanical, health infrastructure monitoring, etc. It is generally sustainable and of no negative impact on the object under test. The use of acoustic sensing under beamforming technique is an important asset to be exploited, especially for the aforementioned applications. This paper illustrates a generalized approach of modeling and designing a full beamfomer using two specific classes: LCMP (Linear Constrained Minimum Power) beamformers that are used to overcome robustness limitations and MVDR (Minimum Variance Distortionless Response) beamformers. Any aspect of modeling and designing is always related to the DOA (Direction of Arrival). The obtained results are based on assumptions extracted from an actual case of constructed system.

Słowa kluczowe

  • Acoustic sensing
  • Beamforming
  • Ultrasonic shape detection
  • DOA
  • Distance measurement
  • array of sensors
  • interference-to-noise ratio (INR)
  • signal-to-noise ratio (SNR)
Otwarty dostęp

CIRCULAR TRAFFIC SIGN CLASSIFICATION USING HOG BASED RING PARTITIONED MATCHING

Data publikacji: 01 Mar 2017
Zakres stron: 1 - 19

Abstrakt

Abstract

This paper presents a technique to classify the circular traffic sign based-on HOG (histogram of oriented gradients) and a ring partitioned matching. The method divides an image into several ring areas, and calculates the HOG feature on each ring area. In the matching process, the weight is assigned to each ring for calculating the distance of HOG feature between tested image and reference image. The experimental results show that the proposed algorithm achieves a high classification rate of 97.8%, without the need of many prepared sample images. The results also show that the best values of the number of orientation bins and the cell size of the HOG parameters are 5 and 10 x 10 pixels respectively.

Słowa kluczowe

  • HOG
  • traffic sign classification
  • ring partitioned
  • template matching
12 Artykułów
Otwarty dostęp

TWO-DEGREE ADJUSTABLE EXOSKELETON FOR ASSISTANCE OF THE HUMAN ARM USING A MECHANICAL SYSTEM OF FAST ASSEMBLY AND UPGRADABILITY

Data publikacji: 01 Mar 2017
Zakres stron: 1 - 15

Abstrakt

Abstract

Stroke affects about 975,000 people annually. Currently different robotic systems are used, such as exoskeletons that support motor rehabilitation, where they sometimes increase the patient’s possible recovery rate. But these systems are expensive and often require adequate locations for therapy routines. This article offers the mechanical design of an exoskeleton concept for human upper limbs that allows the attachment to the arm and forearm, offering protection, torque, and movement, plus the possibility to adapt to different arm sizes. The biomechanics of the human arm, the kinematics required by the exoskeleton, different design criteria for this type of system, the CAD model, and the simulation of a robotic exoskeleton with an active and passive degree of freedom are considered. As a main result, the exoskeleton includes the biomechanics of the human arm so that its kinematics allow for adequate human arm movements for providing mechanical assistance, data acquisition and analysis, but also safety.

Słowa kluczowe

  • Active orthosis
  • Exoskeleton
  • Interactive adaptation
  • Wearable-robot
Otwarty dostęp

OPERATION PRINCIPLE, ADVANCED PROCEDURES AND VALIDATION OF A NEW FLEX-SPI COMMUNICATION PROTOCOL FOR SMART IoT DEVICES

Data publikacji: 01 Mar 2017
Zakres stron: 1 - 45

Abstrakt

Abstract

In this paper, we report on hardware structure, operation mode and software development for a new advanced communication protocol whose aim is obtaining a fully shared SPI bus with a fixed amount of wires, without renouncing to advantages of a push-pull output stage and obtaining an architecture capable of great flexibility. All four signals of a classic SPI protocol are entirely shared by the slaves on bus: when a master wants to communicate with a particular device, it will perform an addressing at packet level: starting from its main characteristics, various adopted solutions to realize a shared SPI bus will be analyzed, explaining how a communication session is performed. The firmware structure was designed as a software stack composed by interacting layers, tracing model of similar protocols that share with FlexSPI some features. Some of the advanced procedures that can be performed thanks to this protocol will be discussed, highlighting the suitability of FlexSPI for dynamic smart objects; in fact, by adding these features to developed framework, it is possible to explore and appreciate expandability of this communication protocol, making it suitable to meet advanced IoT requirements of smart objects. FlexSPI can be built like a MAC layer above the SPI bus, to process all necessary pieces of information to perform the packet level addressing, using a stack having a layered architecture. This is idea followed in the firmware development, to implement this communication protocol, experimentally verified in the performed and reported communication tests, confirming that it is possible to obtain a shared push-pull bus.

Słowa kluczowe

  • IoT
  • communication protocols
  • smart objects
  • FlexSPI
  • software procedures
  • shared bus
  • PIC
Otwarty dostęp

GRID-EDGE-DEPTH MAP BUILDING EMPLOYING SAD WITH SOBEL EDGE DETECTOR

Data publikacji: 01 Mar 2017
Zakres stron: 1 - 16

Abstrakt

Abstract

This paper presents a new method of a map building which is suitable for a wheeled robot. The 2D map represents the obstacle’s position and distance in the environment. The information of the obstacles obtained from a calibrated stereo camera. The stereo images size were 320x240 pixels. Hereafter the images were rectified and the disparity map was built using a Sum of Absolute Difference (SAD) algorithm. The depth map was calculated using disparity map, focal length, and baseline parameter values. In order to detect the obstacles, Sobel edge detection was implemented. The edge detection image was compared and substituted with the depth map which is resulting edge-depth map. The edge-depth map was divided into 25 grids (5 grids horizontal and 5 grids vertical). Finally, the minimum depth of detected obstacles for each grid was calculated. This process was resulting in a grid-edge-depth map (GED map). The proposal has been tested with a mobile robot in 5x3 meters living environment. Finally, experimental results are presented. The average error of feature points in the previous study was 5.40 cm, whereas in this study is 3.82 cm. There has been a decrease in the measurement gap of 29.26% from the previous study.

Słowa kluczowe

  • Disparity
  • grid-edge-depth map
  • SAD
  • Sobel
  • stereo camera
  • wheeled robot
Otwarty dostęp

A REVIEW ON MULTIPLE-FEATURE-BASED ADAPTIVE SPARSE REPRESENTATION (MFASR) AND OTHER CLASSIFICATION TYPES

Data publikacji: 01 Mar 2017
Zakres stron: 1 - 27

Abstrakt

Abstract

A new technique Multiple-feature-based adaptive sparse representation (MFASR) has been demonstrated for Hyperspectral Images (HSI’s) classification. This method involves mainly in four steps at the various stages. The spectral and spatial information reflected from the original Hyperspectral Images with four various features. A shape adaptive (SA) spatial region is obtained in each pixel region at the second step. The algorithm namely sparse representation has applied to get the coefficients of sparse for each shape adaptive region in the form of matrix with multiple features. For each test pixel, the class label is determined with the help of obtained coefficients. The performances of MFASR have much better classification results than other classifiers in the terms of quantitative and qualitative percentage of results. This MFASR will make benefit of strong correlations that are obtained from different extracted features and this make use of effective features and effective adaptive sparse representation. Thus, the very high classification performance was achieved through this MFASR technique.

Słowa kluczowe

  • Hyperspectral Images
  • Classification
  • Adaptive sparse representation
  • Feature extraction
  • Sparse representation
Otwarty dostęp

UNSUPERVISED LEARNING FOR RIPENESS ESTIMATION FROM GRAPE SEEDS IMAGES

Data publikacji: 01 Mar 2017
Zakres stron: 1 - 19

Abstrakt

Abstract

Estimating the current stage of grape ripeness is a crucial step in wine making and becomes especially important during harvesting. Visual inspection of grape seeds is one method to achieve this goal without performing chemical analysis, however this method is prone to failure. In this paper, we propose an unsupervised visual inspection system for grape ripeness estimation using the Dirichlet Mixture Model (DMM). Experimental analysis using real world data demonstrates that our approach can be used to estimate different ripeness stages from unlabeled grape seeds catalogs.

Słowa kluczowe

  • Mixture model
  • grape ripening
  • computer vision
Otwarty dostęp

INITIAL ALIGNMENT OF FIBER-OPTIC INERTIAL NAVIGATION SYSTEM WITH LARGE MISALIGNMENT ANGLES BASED ON GENERALIZED PROPORTIONAL-INTEGRAL-DERIVATIVE FILTER

Data publikacji: 01 Mar 2017
Zakres stron: 1 - 17

Abstrakt

Abstract

Initial alignment in the presence of large misalignment angles is a critical issue in strapdown inertial navigation systems. The large initial misalignment angle adversely affects the accuracy and rapidness of the alignment process. In this paper a novel robust alignment approach is proposed based on a generalized proportional-integral-derivative filter. The proposed alignment approach has some significant advantages compared to the standard Kalman filter based alignment method. This method increases the accuracy and the convergence speed of the alignment process in the large misalignment angles problem. Experimental results also, verify the prominent performance of the presented approach in comparison to conventional standard Kalman filter based alignment method.

Słowa kluczowe

  • Index terms: Standard Kalman Filter
  • Generalized Proportional-Integral-Derivative Filter
  • Strapdown Inertial Navigation System
  • Initial Alignment
  • Large Misalignment Angles
Otwarty dostęp

HARDWARE IMPLEMENTATION OF METHODOLOGIES OF FIXED POINT DIVISION ALGORITHMS

Data publikacji: 01 Mar 2017
Zakres stron: 1 - 16

Abstrakt

Abstract

This paper describes the hardware implementation methodologies of fixed point binary division algorithms. The implementations have been extended for the execution of the reciprocal of the binary numbers. Radix-2 (binary) implementations of digit recurrence and multiplicative based methods have been considered for comparison. Functionality of the algorithms have been verified in Verilog hardware description language (HDL) and synthesized in Xilinx ISE 8.2i targeting the device xc4vlx15-12sf363 of Virtex4 family. Implementation was done for both signed and unsigned number systems, having bit width of operands vary as an exponential function of 2n, where n=2 to 5. Performance parameters have been calculated in terms of clock frequency, FPGA slice utilization, latency and power consumption. Implementation results indicate that multiplicative based algorithm is superior in terms of latency, while digit recurrence algorithms are consuming low power along-with less area overhead.

Słowa kluczowe

  • Digit recurrence
  • Division algorithm
  • Fixed point
  • FPGA
  • Newton-Raphson
  • Verilog
Otwarty dostęp

DESIGNING AND PROTOTYPING A SENSORS HEAD FOR TEST AND CERTIFICATION OF UAV COMPONENTS

Data publikacji: 01 Mar 2017
Zakres stron: 1 - 27

Abstrakt

Abstract

The project proposed in this paper deals with the design and the development of an embedded test system able to characterize both electrical and mechanical performances of UAVs (Unmanned Aerial Vehicles) propulsion subsystems (motor and propeller). The measurement data that can be collected are of great interest for professional applications, as well as for amateur makers. Starting from the measures acquired by the presented system, it will be possible to deliver certificates that guarantee the customer that the performances obtained by the drone are compliant to what declared by the seller.

Słowa kluczowe

  • UAVs
  • propulsion
  • sensors
  • electric motors
  • test
  • certification
Otwarty dostęp

IDENTIFICATION OF TWO TYPES OF ROTTEN MEAT USING AN ELECTRONIC NOSE FOR FOOD QUALITY CONTROL

Data publikacji: 01 Mar 2017
Zakres stron: 1 - 23

Abstrakt

Abstract

Microorganisms are contained in all foods, some of them don’t pose a risk for consumers, but many others became pathogenic, because of bad conservation or expired dates. Food will be degraded when the number of microorganisms became very large. The focus in this paper will be on the design of an electronic nose used in detecting rotten food. This nose is applied to detect bad odor diffused by rotten beef, and rotten chicken those meat have almost the same odor at rottenness which is not easily identified by human. Durations and gases emit of its rotten are determined by the pattern recognition methods PCA (Principal Components Analysis) for classification and DFA (Discriminate factorial analysis) for dating, and we will be identify between those rotten meat by DFA method.

Słowa kluczowe

  • Electronic nose
  • rotten beef
  • rotten chicken
  • sensors
  • Principal Components Analysis
  • Discriminate Factorial Analysis
  • Pattern recognition system
Otwarty dostęp

INTELLIGENT ENVIRONMENTAL SENSING WITH AN UNMANNED AERIAL SYSTEM IN A WIRELESS SENSOR NETWORK

Data publikacji: 01 Mar 2017
Zakres stron: 1 - 22

Abstrakt

Abstract

This paper proposes a novel environmental monitoring mechanism to integrate recently- established development of an Unmanned Aerial System (UAS) with WSNs for remote monitoring. The high mobility of UASs can solve the limitations associated with using WSNs in hazardous areas. In this paper, the WSN node, the Wireless Environmental Monitoring Station (WEMS), is based on ZigBee protocol for long-duration monitoring. Furthermore, to ensure the integrity of collected environmental data, an algorithm is designed in WEMS for verification. Finally, a detailed analysis of packet transmission efficiency based on ranges of flight distance is proposed to examine the effect of environmental monitoring.

Słowa kluczowe

  • Wireless Sensor Networks
  • Unmanned Aerial System
  • ZigBee
  • Remote monitoring
  • Remote Sensing
  • Data collection
Otwarty dostęp

MODELING AND DESIGNING A FULL BEAMFORMER FOR ACOUSTIC SENSING AND MEASUREMENT

Data publikacji: 01 Mar 2017
Zakres stron: 1 - 17

Abstrakt

Abstract

Acoustic sensing is a viable approach for solving issues related to many applications, namely, biomedical, distance measurements, mechanical, health infrastructure monitoring, etc. It is generally sustainable and of no negative impact on the object under test. The use of acoustic sensing under beamforming technique is an important asset to be exploited, especially for the aforementioned applications. This paper illustrates a generalized approach of modeling and designing a full beamfomer using two specific classes: LCMP (Linear Constrained Minimum Power) beamformers that are used to overcome robustness limitations and MVDR (Minimum Variance Distortionless Response) beamformers. Any aspect of modeling and designing is always related to the DOA (Direction of Arrival). The obtained results are based on assumptions extracted from an actual case of constructed system.

Słowa kluczowe

  • Acoustic sensing
  • Beamforming
  • Ultrasonic shape detection
  • DOA
  • Distance measurement
  • array of sensors
  • interference-to-noise ratio (INR)
  • signal-to-noise ratio (SNR)
Otwarty dostęp

CIRCULAR TRAFFIC SIGN CLASSIFICATION USING HOG BASED RING PARTITIONED MATCHING

Data publikacji: 01 Mar 2017
Zakres stron: 1 - 19

Abstrakt

Abstract

This paper presents a technique to classify the circular traffic sign based-on HOG (histogram of oriented gradients) and a ring partitioned matching. The method divides an image into several ring areas, and calculates the HOG feature on each ring area. In the matching process, the weight is assigned to each ring for calculating the distance of HOG feature between tested image and reference image. The experimental results show that the proposed algorithm achieves a high classification rate of 97.8%, without the need of many prepared sample images. The results also show that the best values of the number of orientation bins and the cell size of the HOG parameters are 5 and 10 x 10 pixels respectively.

Słowa kluczowe

  • HOG
  • traffic sign classification
  • ring partitioned
  • template matching

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