Outline of Machinery Fault Diagnosis MethodIJRES Journal
Traditional mechanical equipment fault diagnosis methods are simple, and research is relatively simple, but it can not meet the demand of modern machinery development. Thus a large number of new methods are popular about modern machinery and equipment fault diagnosis. With the development of science and technology, the methods of modern machinery and equipment fault diagnosis become more and more complex. Therefore, it is necessary primarily focus on modern machinery fault diagnosis method, in order to facilitate the researchers access to use.
A Study of Motion Detection Method for Smart Home SystemAM Publications
Motion detection surveillance technology give ease for time-consuming reviewing process that a normal video
surveillance system offers. By using motion detection, it save the monitoring time and cost. It has gained a lot of interests
over the past few years. In this paper, a proposed motion detection surveillance system, through the study and evaluation
of currently available different methods. The proposed system is efficient and convenient for both office and home uses as
a smart home security system technology.
This paper presents an electromagnetically-actuated micropump for microfluidic application. The system comprises two modules; an electromagnetic actuator module and a diffuser module. Fabrication of the diffuser module can be achieved using photolithography process with a master template and a PDMS prepolymer as the structural material. The actuator module consists of two power inductors and two NdFeB permanent magnets placed between the diffuser elements. The choice of this actuation principle merits from low operating voltage (1.5 Vdc) and the flow direction can be controlled by changing the orientation of the magnet vibration. Maximum volumetric flow rate of the fabricated device at zero backpressure is 0.9756 μLs-1 and 0.4659 μLs-1 at the hydrostatic backpressure of 10 mmH2O at 9 Hz of switching speed.
Computer model for tsunami vulnerability using sentinel 2A and SRTM images op...journalBEEI
This study aims to develop a software framework for modeling of tsunami vulnerability using DEM and Sentinel 2 images. The stages of study, are: 1) extraction Sentinel 2 images using algorithms NDVI, NDBI, NDWI, MSAVI, and MNDWI; 2) prediction vegetation indices using machine learning algorithms. 3) accuracy testing using the MSE, ME, RMSE, MAE, MPE, and MAPE; 4) spatial prediction using Kriging function and 5) modeling tsunami vulnerability indicators. The results show that in 2021 the area was dominated by vegetation density between (-0.1-0.3) with moderate to high vulnerability and risk of land use tsunami as a result of the decreasing of vegetation. The prediction results for 2021 show a low canopy density of vegetation and a high degree of land surface slope. Based on the prediction results in 2021, the study area mostly shows the existence of built-up lands with a high tsunami vulnerability risk (more than 0.1). Vegetation population had decreased to 67% from the original areas in 2017 with an area of 135 km2. Forest vegetation had decreased by 45% from 116 km2 in 2017. Land use for fisheries had increased to the area of 86 km2 from 2017 with an area of 24 km2.
Deblurring of noisy iris images in iris recognitionjournalBEEI
Iris recognition used the iris features to verify and identify the identity of human. The iris has many advantages such as stability over time, easy to use and high recognition accuracy. However, the poor quality of iris images can degrade the recognition accuracy of iris recognition system. The recognition accuracy of this system is depended on the iris pattern quality captured during the iris acquisition. The iris pattern quality can degrade due to the blurry image. Blurry image happened due to the movement during image acquisition and poor camera resolution. Due to that, a deblurring method based on the Wiener filter was proposed to improve the quality of iris pattern. This work is significant since the proposed method can enhance the quality of iris pattern in the blurry image. Based to the results, the proposed method improved the quality of iris pattern in the blurry image. Moreover, it recorded the fastest execution time to improve the quality of iris pattern compared to the other methods.
AN EFFICIENT IMPLEMENTATION OF TRACKING USING KALMAN FILTER FOR UNDERWATER RO...IJCSEIT Journal
The exploration of oceans and sea beds is being made increasingly possible through the development of
Autonomous Underwater Vehicles (AUVs). This is an activity that concerns the marine community and it
must confront the existence of notable challenges. However, an automatic detecting and tracking system is
the first and foremost element for an AUV or an aqueous surveillance network. In this paper a method of
Kalman filter was presented to solve the problems of objects track in sonar images. Region of object was
extracted by threshold segment and morphology process, and the features of invariant moment and area
were analysed. Results show that the method presented has the advantages of good robustness, high
accuracy and real-time characteristic, and it is efficient in underwater target track based on sonar images
and also suited for the purpose of Obstacle avoidance for the AUV to operate in the constrained
underwater environment.
Outline of Machinery Fault Diagnosis MethodIJRES Journal
Traditional mechanical equipment fault diagnosis methods are simple, and research is relatively simple, but it can not meet the demand of modern machinery development. Thus a large number of new methods are popular about modern machinery and equipment fault diagnosis. With the development of science and technology, the methods of modern machinery and equipment fault diagnosis become more and more complex. Therefore, it is necessary primarily focus on modern machinery fault diagnosis method, in order to facilitate the researchers access to use.
A Study of Motion Detection Method for Smart Home SystemAM Publications
Motion detection surveillance technology give ease for time-consuming reviewing process that a normal video
surveillance system offers. By using motion detection, it save the monitoring time and cost. It has gained a lot of interests
over the past few years. In this paper, a proposed motion detection surveillance system, through the study and evaluation
of currently available different methods. The proposed system is efficient and convenient for both office and home uses as
a smart home security system technology.
This paper presents an electromagnetically-actuated micropump for microfluidic application. The system comprises two modules; an electromagnetic actuator module and a diffuser module. Fabrication of the diffuser module can be achieved using photolithography process with a master template and a PDMS prepolymer as the structural material. The actuator module consists of two power inductors and two NdFeB permanent magnets placed between the diffuser elements. The choice of this actuation principle merits from low operating voltage (1.5 Vdc) and the flow direction can be controlled by changing the orientation of the magnet vibration. Maximum volumetric flow rate of the fabricated device at zero backpressure is 0.9756 μLs-1 and 0.4659 μLs-1 at the hydrostatic backpressure of 10 mmH2O at 9 Hz of switching speed.
Computer model for tsunami vulnerability using sentinel 2A and SRTM images op...journalBEEI
This study aims to develop a software framework for modeling of tsunami vulnerability using DEM and Sentinel 2 images. The stages of study, are: 1) extraction Sentinel 2 images using algorithms NDVI, NDBI, NDWI, MSAVI, and MNDWI; 2) prediction vegetation indices using machine learning algorithms. 3) accuracy testing using the MSE, ME, RMSE, MAE, MPE, and MAPE; 4) spatial prediction using Kriging function and 5) modeling tsunami vulnerability indicators. The results show that in 2021 the area was dominated by vegetation density between (-0.1-0.3) with moderate to high vulnerability and risk of land use tsunami as a result of the decreasing of vegetation. The prediction results for 2021 show a low canopy density of vegetation and a high degree of land surface slope. Based on the prediction results in 2021, the study area mostly shows the existence of built-up lands with a high tsunami vulnerability risk (more than 0.1). Vegetation population had decreased to 67% from the original areas in 2017 with an area of 135 km2. Forest vegetation had decreased by 45% from 116 km2 in 2017. Land use for fisheries had increased to the area of 86 km2 from 2017 with an area of 24 km2.
Deblurring of noisy iris images in iris recognitionjournalBEEI
Iris recognition used the iris features to verify and identify the identity of human. The iris has many advantages such as stability over time, easy to use and high recognition accuracy. However, the poor quality of iris images can degrade the recognition accuracy of iris recognition system. The recognition accuracy of this system is depended on the iris pattern quality captured during the iris acquisition. The iris pattern quality can degrade due to the blurry image. Blurry image happened due to the movement during image acquisition and poor camera resolution. Due to that, a deblurring method based on the Wiener filter was proposed to improve the quality of iris pattern. This work is significant since the proposed method can enhance the quality of iris pattern in the blurry image. Based to the results, the proposed method improved the quality of iris pattern in the blurry image. Moreover, it recorded the fastest execution time to improve the quality of iris pattern compared to the other methods.
AN EFFICIENT IMPLEMENTATION OF TRACKING USING KALMAN FILTER FOR UNDERWATER RO...IJCSEIT Journal
The exploration of oceans and sea beds is being made increasingly possible through the development of
Autonomous Underwater Vehicles (AUVs). This is an activity that concerns the marine community and it
must confront the existence of notable challenges. However, an automatic detecting and tracking system is
the first and foremost element for an AUV or an aqueous surveillance network. In this paper a method of
Kalman filter was presented to solve the problems of objects track in sonar images. Region of object was
extracted by threshold segment and morphology process, and the features of invariant moment and area
were analysed. Results show that the method presented has the advantages of good robustness, high
accuracy and real-time characteristic, and it is efficient in underwater target track based on sonar images
and also suited for the purpose of Obstacle avoidance for the AUV to operate in the constrained
underwater environment.
Ion Beam Analytical Technique PIXE for Pollution Study at Dhaka Van de Graaff...iosrjce
IOSR Journal of Applied Physics (IOSR-JAP) is a double blind peer reviewed International Journal that provides rapid publication (within a month) of articles in all areas of physics and its applications. The journal welcomes publications of high quality papers on theoretical developments and practical applications in applied physics. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
Detection air pollution based on infrared image processingTELKOMNIKA JOURNAL
This paper proposes a method of detecting air pollution in a region using image processing techniques. The image used is the infrared image that obtained using a modified digital camera by mounting the SRS filter. Image processing technique used is to utilize wavelet transformation. Pollutants are detected based on the average number of white pixels that appear on the image. This white pixel appears due to the reflection of the wavelength of the pollutant that hits the sensor on the camera. From the results of the proposed method detection is known that the highest pollution occurs in 12.00 which is the busiest traffic time and the lowest pollution occurred in 08.00 where the traffic passing through the area has not been crowded.
HYPERSPECTRAL IMAGERY CLASSIFICATION USING TECHNOLOGIES OF COMPUTATIONAL INTE...IAEME Publication
Texture information is exploited for classification of HSI (Hyperspectral Imagery) at high spatial resolution. For this purpose, framework employs to LBP (Local Binary Pattern) to extract local image features such as edges, corners & spots. After the extraction of LBP feature two levels of fusions are applied along with Gabor feature & spectral feature, i.e. Feature level fusion & Decision level fusion. In Feature level fusion multiple features are concurred before pattern classification. While in decision level fusion, it works on probability output of each individual classification pipeline combines the distinct decisions into final one. Decision level fusion consists of either hard fusion, soft fusion method. In hard fusion we consider majority part & in soft fusion linear logarithmic opinion pool at probability level (LOGP). In addition to this, extreme learning machine (ELM) classifier is included which is more efficient than support vector machine (SVM), used to provide probability classification output. It has simple structure with one hidden layer & one linear output layer. ELM trained much faster than SVM.
Displacement mechanical amplifiers designed on poly-siliconIJECEIAES
Using Poly-Silicon, the implementation of novel Displacement-amplifying Compliant Mechanisms (DaCM), in two geometries of accelerometers, allows for remarkable improvements in their operation frequency and displacement sensitivity, with different proportions. Similar DaCM´s geometries were previously implemented by us with Silicon. In all mentioned cases, the geometries of DaCM´s are adjusted in order to use them with Conventional Capacitive Accelerometer (CCA) and Capacitive Accelerometer with Extended Beams (CAEB), which operate in-plane mode, (y-axis). It should be noted that CAEB shows improvements (95.33%) in displacement sensitivity compared to ACC. Simulations results, carried out using Ansys Workbench software, validate the system’s performance designed with Poly-Silicon. Finally, a comparison with the similar systems, previously designed with Silicon, is also carried out.
A Novel Approach for Precise Motion Artefact Detection in Photoplethysmograph...AM Publications
PPG signal is a useful tool for quick and critical diagnosis related to cardiovascular output via wearable or portable devices. Its drawback is unreliable during non-stationary states due to occurrences of frequency overlap of the desired and motion artifact signals. The accelerometer is usually used to reflect the motion artifact when the adaptive noise cancellation technique is implemented to address this obstacle, but it failed to predict the value of real induced noise accurately. In this work, we investigate a new concept that is capable of providing the entire motion artifact separately by recruiting twin photodetectors to formulate the influential signals. The main function of photo-detector (MPD) is to generate the corrupted PPG signal. While the second photo-detector (CPD) that covered up from the light effect, will be used to reflect the corruption effect that exists in both sources simultaneously by counting the generated dark photocurrent (GDPC). To validate the GDPC approach, experiments were executed to analyze the response of two methods during steady and motion state. Results showed resemblance responses for both methods regarding the’ amplitude fluctuations and high positive correlations in the time domain. Furthermore, the FFT peak plots in frequency domain indicated the potential of CPD to reflect all fundamental frequencies caused by motion, unlike the acceleration approach. Therefore, the proposed concept is a sure-fire method to obtain precise measurements at a lower cost.
Toward intelligent health monitoring system for space missionsAboul Ella Hassanien
SRGE Workshop on Intelligent system and Application, 27 Dec. 2017 in the framework of the int. conf of computer science, information systems, and operation research, ISSR, Cairo University
Accuracy Improvement of PM Measuring Instrumentsijtsrd
The PM10 concentration in the underground areas should be monitored to protect the health of the commuters in the underground subway system. The purpose of this work is to study the reliability of the instruments using light scattering method to measure the PM10 concentrations continuously. A linear regression analysis method is used to improve the performance of the instruments using light scattering method. Some experimental results show that a linear regression technique would be very helpful for the performance improvement of light scattering instruments such as Air test PM2500 and HCT 4103. Tae-In Hyon | Gyu-Sik Kim "Accuracy Improvement of PM Measuring Instruments" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-5 , August 2019, URL: https://www.ijtsrd.com/papers/ijtsrd26722.pdfPaper URL: https://www.ijtsrd.com/engineering/electrical-engineering/26722/accuracy-improvement-of-pm-measuring-instruments/tae-in-hyon
Indoor localisation and dead reckoning using Sensor Tag™ BLE.Abhishek Madav
The mobile application uses readings of the Accelerometer and Gyroscope from the Sensor Tag to describe details of motion in a planar mode. The project has been implemented as a part of the EECS 221 coursework at University of California, Irvine.
LOCALIZATION ALGORITHM USING VARYING SPEED MOBILE SINK FOR WIRELESS SENSOR NE...ijasuc
Localization of sensor nodes is important in many aspects in wireless sensor networks. The known
location of sensor node helps in determining the event of interest. A mobile sink is introduced to track the
event driven sensor nodes in the path of the event, thus conserving energy and time. We present a novel
range based localization algorithm which helps the mobile sink to compute the location of the sensor
nodes efficiently. The data transfer from the mobile sink and the sensor nodes is used to estimate the
sensor location. The sensor nodes do not need to spend energy on neighbouring interaction for
localization. The localization mechanism has been implemented in TOSSIM. The simulation results show
that our scheme performed better than other range-based schemes.
Algorithm performance comparison for earthquake signal recognition on smartph...TELKOMNIKA JOURNAL
Micro-electro-mechanical-system accelerometer is able to detect acceleration signal caused by earthquake. Such type of accelerometer is also used by smartphones. There are few algorithms that can be used to recognize the type of acceleration signal from smartphone. This study aims to find signal recognition algorithm in order to consider the most proper algorithm for earthquake signal detection. The initial stage of designing the recognizer is data collection for each type of signal classification. The next step is to apply a highpass filter to separate the signals collected from the gravitational acceleration signal. The signal is divided into several segments. The system will extract features of each signal segment in the time and frequency domain. Each signal segment is then classified according to the type of signal using the classifier through a series of training data processes. The classifier which has the highest accuracy value is exported into the new input signal modeling. As the result, fine K-NN algorithm has the highest level of accuracy in the classification. The fine K-NN algorithm has an accuracy rate of 99.75% in the classification of human activity signals and earthquake signals with a memory capacity of 6,044 kilobytes and processing time of 15.93 seconds. This algorithm has the best classifier criteria compared to decision tree, support vector machine and linear discriminant analysis algorithms.
The landslide consists of rock wedge threatening two roads which are important for local
transportation. The present work encompasses all the components of an early warning system, including
the geological knowledge, the risk scenarios, the kinematic characterization of the landslide, the choice and
installation of the monitoring system, the setting of appropriate alarm levels and the definition of plans of
civil protection. The focus is on practical and logistical issues met in all these phases and the countermeasures adopted. At present the system consists in 13 wire extensometers, 1 thermometer, 1 rain gauge
and 3 cameras. Should a velocity threshold be exceeded by two or more sensors, the attention level would be
entered, causing improved monitoring and surveillance. In case the behaviour of the landslide changes and,
by using expert judgment and forecasting methods, an imminent failure is hinted, then an alarm is issued
and the upper road is closed.
14 A Profibus-based Control System for Nuclear Physics Applications - The 6th...Cristian Randieri PhD
A Profibus-based Control System for Nuclear Physics Applications - The 6th World Multi-Conference on Systemics, Cybernetics and Informatics SCI 2002, July 2002, Orlando, Florida
di O. Mirabella, V. Bellini, C. Randieri, C. Spitale
Abstract
In this paper we present the results of implementation of a remote control system based on ProFiBus technologies used for the remote control of experimental nuclear physics apparata. Remote control makes experiment handling more flexible, eliminating any problems originating from the need for direct access to the systems being controlled. In the paper we describe two different applications. The first application of the ProFiBus is the remote control of a multidetector (made up of a bidimensional array of CsI scintillators) used to detect light nuclear particles, as protons and/or light ions. In the second application, we present an implementation of the control of a vacuum system suitable for a special chamber used for the development and testing of particle detectors operating in vacuum conditions.
A Comparative Study of Sensors for Road Traffic Density MeasurementIJSRD
Sensors plays a vital role for measurement of traffic density on road. To acquire the traffic data from road various sensor were used. Different sensors have their own advantages and limitation in terms of accuracy in measurement. However a sensor varies from parameter to parameter i.e range, location of installation, power consumption, number of scanned lanes, features etc. This paper describes about the conventional sensors that were used for traffic density measurement in automatic traffic control system. Also the comparison between different sensors has been discussed in this paper.
Due to the increasing number of private cars in today's society, there are a lot of
safety problems in car reversing. This paper proposes a research program of ultrasonic
ranging car reversing radar system with higher accuracy and better warning effect. According
to the principle of ultrasonic ranging, the AT89C51 single-chip microcomputer is selected as
the core circuit, and the anti-interference error processing is adopted in the processing of the
single-chip microcomputer to solve the multiple measurement, the transmission time interval
and the dead zone measurement problem of the ultrasonic ranging. Car reversing radar
system based on ultrasonic ranging adopt transmitting and receiving circuit, will determine
the time difference in the single chip microcomputer. the results are sent to the digital display
circuit and voice broadcast circuit. Finally, it is verified by experiments that after ultrasonic
error measurement adopts error processing, under the complicated environmental conditions,
the accuracy of ranging is higher, the number of false alarms is reduced, and the device has
high reliability and practicability.
Ion Beam Analytical Technique PIXE for Pollution Study at Dhaka Van de Graaff...iosrjce
IOSR Journal of Applied Physics (IOSR-JAP) is a double blind peer reviewed International Journal that provides rapid publication (within a month) of articles in all areas of physics and its applications. The journal welcomes publications of high quality papers on theoretical developments and practical applications in applied physics. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
Detection air pollution based on infrared image processingTELKOMNIKA JOURNAL
This paper proposes a method of detecting air pollution in a region using image processing techniques. The image used is the infrared image that obtained using a modified digital camera by mounting the SRS filter. Image processing technique used is to utilize wavelet transformation. Pollutants are detected based on the average number of white pixels that appear on the image. This white pixel appears due to the reflection of the wavelength of the pollutant that hits the sensor on the camera. From the results of the proposed method detection is known that the highest pollution occurs in 12.00 which is the busiest traffic time and the lowest pollution occurred in 08.00 where the traffic passing through the area has not been crowded.
HYPERSPECTRAL IMAGERY CLASSIFICATION USING TECHNOLOGIES OF COMPUTATIONAL INTE...IAEME Publication
Texture information is exploited for classification of HSI (Hyperspectral Imagery) at high spatial resolution. For this purpose, framework employs to LBP (Local Binary Pattern) to extract local image features such as edges, corners & spots. After the extraction of LBP feature two levels of fusions are applied along with Gabor feature & spectral feature, i.e. Feature level fusion & Decision level fusion. In Feature level fusion multiple features are concurred before pattern classification. While in decision level fusion, it works on probability output of each individual classification pipeline combines the distinct decisions into final one. Decision level fusion consists of either hard fusion, soft fusion method. In hard fusion we consider majority part & in soft fusion linear logarithmic opinion pool at probability level (LOGP). In addition to this, extreme learning machine (ELM) classifier is included which is more efficient than support vector machine (SVM), used to provide probability classification output. It has simple structure with one hidden layer & one linear output layer. ELM trained much faster than SVM.
Displacement mechanical amplifiers designed on poly-siliconIJECEIAES
Using Poly-Silicon, the implementation of novel Displacement-amplifying Compliant Mechanisms (DaCM), in two geometries of accelerometers, allows for remarkable improvements in their operation frequency and displacement sensitivity, with different proportions. Similar DaCM´s geometries were previously implemented by us with Silicon. In all mentioned cases, the geometries of DaCM´s are adjusted in order to use them with Conventional Capacitive Accelerometer (CCA) and Capacitive Accelerometer with Extended Beams (CAEB), which operate in-plane mode, (y-axis). It should be noted that CAEB shows improvements (95.33%) in displacement sensitivity compared to ACC. Simulations results, carried out using Ansys Workbench software, validate the system’s performance designed with Poly-Silicon. Finally, a comparison with the similar systems, previously designed with Silicon, is also carried out.
A Novel Approach for Precise Motion Artefact Detection in Photoplethysmograph...AM Publications
PPG signal is a useful tool for quick and critical diagnosis related to cardiovascular output via wearable or portable devices. Its drawback is unreliable during non-stationary states due to occurrences of frequency overlap of the desired and motion artifact signals. The accelerometer is usually used to reflect the motion artifact when the adaptive noise cancellation technique is implemented to address this obstacle, but it failed to predict the value of real induced noise accurately. In this work, we investigate a new concept that is capable of providing the entire motion artifact separately by recruiting twin photodetectors to formulate the influential signals. The main function of photo-detector (MPD) is to generate the corrupted PPG signal. While the second photo-detector (CPD) that covered up from the light effect, will be used to reflect the corruption effect that exists in both sources simultaneously by counting the generated dark photocurrent (GDPC). To validate the GDPC approach, experiments were executed to analyze the response of two methods during steady and motion state. Results showed resemblance responses for both methods regarding the’ amplitude fluctuations and high positive correlations in the time domain. Furthermore, the FFT peak plots in frequency domain indicated the potential of CPD to reflect all fundamental frequencies caused by motion, unlike the acceleration approach. Therefore, the proposed concept is a sure-fire method to obtain precise measurements at a lower cost.
Toward intelligent health monitoring system for space missionsAboul Ella Hassanien
SRGE Workshop on Intelligent system and Application, 27 Dec. 2017 in the framework of the int. conf of computer science, information systems, and operation research, ISSR, Cairo University
Accuracy Improvement of PM Measuring Instrumentsijtsrd
The PM10 concentration in the underground areas should be monitored to protect the health of the commuters in the underground subway system. The purpose of this work is to study the reliability of the instruments using light scattering method to measure the PM10 concentrations continuously. A linear regression analysis method is used to improve the performance of the instruments using light scattering method. Some experimental results show that a linear regression technique would be very helpful for the performance improvement of light scattering instruments such as Air test PM2500 and HCT 4103. Tae-In Hyon | Gyu-Sik Kim "Accuracy Improvement of PM Measuring Instruments" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-5 , August 2019, URL: https://www.ijtsrd.com/papers/ijtsrd26722.pdfPaper URL: https://www.ijtsrd.com/engineering/electrical-engineering/26722/accuracy-improvement-of-pm-measuring-instruments/tae-in-hyon
Indoor localisation and dead reckoning using Sensor Tag™ BLE.Abhishek Madav
The mobile application uses readings of the Accelerometer and Gyroscope from the Sensor Tag to describe details of motion in a planar mode. The project has been implemented as a part of the EECS 221 coursework at University of California, Irvine.
LOCALIZATION ALGORITHM USING VARYING SPEED MOBILE SINK FOR WIRELESS SENSOR NE...ijasuc
Localization of sensor nodes is important in many aspects in wireless sensor networks. The known
location of sensor node helps in determining the event of interest. A mobile sink is introduced to track the
event driven sensor nodes in the path of the event, thus conserving energy and time. We present a novel
range based localization algorithm which helps the mobile sink to compute the location of the sensor
nodes efficiently. The data transfer from the mobile sink and the sensor nodes is used to estimate the
sensor location. The sensor nodes do not need to spend energy on neighbouring interaction for
localization. The localization mechanism has been implemented in TOSSIM. The simulation results show
that our scheme performed better than other range-based schemes.
Algorithm performance comparison for earthquake signal recognition on smartph...TELKOMNIKA JOURNAL
Micro-electro-mechanical-system accelerometer is able to detect acceleration signal caused by earthquake. Such type of accelerometer is also used by smartphones. There are few algorithms that can be used to recognize the type of acceleration signal from smartphone. This study aims to find signal recognition algorithm in order to consider the most proper algorithm for earthquake signal detection. The initial stage of designing the recognizer is data collection for each type of signal classification. The next step is to apply a highpass filter to separate the signals collected from the gravitational acceleration signal. The signal is divided into several segments. The system will extract features of each signal segment in the time and frequency domain. Each signal segment is then classified according to the type of signal using the classifier through a series of training data processes. The classifier which has the highest accuracy value is exported into the new input signal modeling. As the result, fine K-NN algorithm has the highest level of accuracy in the classification. The fine K-NN algorithm has an accuracy rate of 99.75% in the classification of human activity signals and earthquake signals with a memory capacity of 6,044 kilobytes and processing time of 15.93 seconds. This algorithm has the best classifier criteria compared to decision tree, support vector machine and linear discriminant analysis algorithms.
The landslide consists of rock wedge threatening two roads which are important for local
transportation. The present work encompasses all the components of an early warning system, including
the geological knowledge, the risk scenarios, the kinematic characterization of the landslide, the choice and
installation of the monitoring system, the setting of appropriate alarm levels and the definition of plans of
civil protection. The focus is on practical and logistical issues met in all these phases and the countermeasures adopted. At present the system consists in 13 wire extensometers, 1 thermometer, 1 rain gauge
and 3 cameras. Should a velocity threshold be exceeded by two or more sensors, the attention level would be
entered, causing improved monitoring and surveillance. In case the behaviour of the landslide changes and,
by using expert judgment and forecasting methods, an imminent failure is hinted, then an alarm is issued
and the upper road is closed.
14 A Profibus-based Control System for Nuclear Physics Applications - The 6th...Cristian Randieri PhD
A Profibus-based Control System for Nuclear Physics Applications - The 6th World Multi-Conference on Systemics, Cybernetics and Informatics SCI 2002, July 2002, Orlando, Florida
di O. Mirabella, V. Bellini, C. Randieri, C. Spitale
Abstract
In this paper we present the results of implementation of a remote control system based on ProFiBus technologies used for the remote control of experimental nuclear physics apparata. Remote control makes experiment handling more flexible, eliminating any problems originating from the need for direct access to the systems being controlled. In the paper we describe two different applications. The first application of the ProFiBus is the remote control of a multidetector (made up of a bidimensional array of CsI scintillators) used to detect light nuclear particles, as protons and/or light ions. In the second application, we present an implementation of the control of a vacuum system suitable for a special chamber used for the development and testing of particle detectors operating in vacuum conditions.
A Comparative Study of Sensors for Road Traffic Density MeasurementIJSRD
Sensors plays a vital role for measurement of traffic density on road. To acquire the traffic data from road various sensor were used. Different sensors have their own advantages and limitation in terms of accuracy in measurement. However a sensor varies from parameter to parameter i.e range, location of installation, power consumption, number of scanned lanes, features etc. This paper describes about the conventional sensors that were used for traffic density measurement in automatic traffic control system. Also the comparison between different sensors has been discussed in this paper.
Due to the increasing number of private cars in today's society, there are a lot of
safety problems in car reversing. This paper proposes a research program of ultrasonic
ranging car reversing radar system with higher accuracy and better warning effect. According
to the principle of ultrasonic ranging, the AT89C51 single-chip microcomputer is selected as
the core circuit, and the anti-interference error processing is adopted in the processing of the
single-chip microcomputer to solve the multiple measurement, the transmission time interval
and the dead zone measurement problem of the ultrasonic ranging. Car reversing radar
system based on ultrasonic ranging adopt transmitting and receiving circuit, will determine
the time difference in the single chip microcomputer. the results are sent to the digital display
circuit and voice broadcast circuit. Finally, it is verified by experiments that after ultrasonic
error measurement adopts error processing, under the complicated environmental conditions,
the accuracy of ranging is higher, the number of false alarms is reduced, and the device has
high reliability and practicability.
Ultra sonic range finding for distance measuring in coal miningeSAT Journals
Abstract Measuring distances has always been a challenge in coal mines as it involves a lot of risks and disturbances. One method to measure the distances without any hindrances in sensitive places like coal mines is via Ultra Sonic waves which generates 40 KHz sound pulse that travels with the speed of sound to the object and returns it echo that helps in calculating the distance, which further display on the LCD display. The medium required here is air medium. This project performs the distance measuring techniques, required in coal mines. This technique is proven to be very helpful in places where human reach is not possible or difficult. Keywords: UltraSonic Sensors, Range Finding, AVR Microcontroller.
Condition Monitoring of Rotating Equipment Considering the Cause and Effects ...IJMERJOURNAL
ABSTRACT: This paper attempts to summarise and review the recent research and developments in diagnostics and prognostics of mechanical systems implementing Condition Monitoring with emphasis on models, algorithms and technologies for data processing and maintenance decision-making. Realising the increasing trend of using multiple sensors in condition monitoring, the authors also discuss different techniques for multiple sensor data fusion. The paper concludes with a brief discussion on current practices, possible future trends of Condition Monitoring with a brief outline on the novelty of the current research work.
Design and development of intelligent electronics travelling aid for visually...eSAT Journals
Abstract The dynamic nature of the environment poses a big challenge to the visually impaired in navigation. This compels most of the visually impaired persons in the developing countries, who generally do not get any technology support, to depend on the visual sense of others, thus, undermining their independence. The intelligent electronic travelling aid for the visually impaired (IETA-VI) designed and developed by the authors and reported here, intends to provide solution to the navigational challenges of the visually impaired individuals. The system utilizes the ultrasonic detection technology for detecting any obstacle in his/her path, and then converts the distance to the obstacle into voice using voice synthesis technology so as to inform the visually impaired user. The device uses GPS and GSM technologies to determine the location of the user and to send this location to his/her care givers on mobile phone, respectively. The device also recognizes the voice signals of the visually impaired when in distress, by making use of voice recognition technology and send SMS to his care givers giving his location and asking them to help him. In a moment of emergency, when the visually impaired requires the attention of his/her care givers, the device provides three alternatives: The first alternative it provides is an emergency key, which when pressed will automatically send the location of the visually impaired to the care givers. The second alternative is that the visually impaired shouts (gives a voice command), the device responds by sending the location of the visually impaired to the care givers. The third alternatives take care of the situation when the user is unconscious or cannot even speak. This is provided by the display device, which displays the names and contact details of his/her care givers, so that someone can offer a helping hand. KEYWORDS: Ultrasonic detection, Voice recognition, Voice synthesis, GPS, GSM.
Smoke detection in video for early warning using static and dynamic featureseSAT Journals
Abstract An image processing approach for detection of smoke in video using static and dynamic features is proposed in this paper. As the conventional smoke detection such as particle sampling, smoke, temperature, Humidity Sensors needs to be close to the source of the smoke for detection, also they have weakness in wide coverage area and low response time. In order to overcome these shortcomings, this paper presents a method based on image processing techniques, capable to identify smoke from video taken from video dataset. The proposed detection method consists of the following steps: moving region detection, smoke color detection, detecting smoke disorder, direction and then classification phase. This will provide early warnings such as fire, thus reducing economic losses and casualties. In addition, it will help to improve the rate of smoke detection, as well as reducing the false detection rate of other suspected object. The paper is structured as follows: section 1 describes introduction part and features of smoke used to differentiate it from other suspected object. Then section 2 describes the previous work including conventional and recent research on smoke detection. Next, section 3 describes the proposed smoke detection system. Finally conclusion is given. Index Terms: smoke detection, moving region detection, smoke features
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
National Highway Alignment from Namakkal to Erode Using GISIJERA Editor
The vision of the Highway Alignment is to increase the capacity, connectivity, efficiency and safety of the Highways System so as to enable balanced socioeconomic development of all sections of the people and all regions from NAMAKKAL to ERODE via and to reduce the traffic and travelling of the state. It is to establish shortest path for road network time in the roads which provide a better and comfortable base for updating the traffic and other related information in road administration. It is to identify the short route for the vehicles traveling from NAMAKKAL to ERODE and to reduce the time travel for the vehicles with possible paths or routes or places for laying eco-friendly highway. To optimize the route for the vehicles traveling from NAMAKKAL to ERODE using GIS with Network analysis tools. From this we can find the suitable route for peoples to carry out without any traffic disturbances and protecting the environment. It also took advantages of GIS capabilities that offer the ability to overlay maps, merge them, and perform spatial analysis on various layers of information in either two or three dimensions
A DEEP LEARNING APPROACH FOR DENOISING AIR-COUPLEDULTRASONIC RESPONDS DATAijaia
Ensuring material quality is a central objective in production and manufacturing. Non-contact nondestructive testing methods without the use of coupling media are of particular interest with regard to mechanical or biochemical properties of the material. For this purpose, air-coupled ultrasonic is a useful method for quality control. The challenge is the poor signal-to-noise ratio, which makes it difficult to apply the classical approaches. This makes it impossible to distinguish between defect structures and noise. We are developing a method for denoising air-coupled ultrasonic data by applying deep neural networks by
using a geometry-analytical component that detects defect structures. During the evaluation we show that we are able to obtain the data almost free of noise, so that incorrectly classified noisy pixels are mainly located at the edges of the defect structures, which cannot be clearly delimited. It is shown that the quality of the data is significantly improved for detection processes.
A DEEP LEARNING APPROACH FOR DENOISING AIR-COUPLEDULTRASONIC RESPONDS DATAgerogepatton
Ensuring material quality is a central objective in production and manufacturing. Non-contact nondestructive testing methods without the use of coupling media are of particular interest with regard to
mechanical or biochemical properties of the material. For this purpose, air-coupled ultrasonic is a useful
method for quality control. The challenge is the poor signal-to-noise ratio, which makes it difficult to apply
the classical approaches. This makes it impossible to distinguish between defect structures and noise. We
are developing a method for denoising air-coupled ultrasonic data by applying deep neural networks by
using a geometry-analytical component that detects defect structures. During the evaluation we show that
we are able to obtain the data almost free of noise, so that incorrectly classified noisy pixels are mainly
located at the edges of the defect structures, which cannot be clearly delimited. It is shown that the quality
of the data is significantly improved for detection processes.
Granular Mobility-Factor Analysis Framework for enrichingOccupancy Sensing wi...IJECEIAES
With the growing need for adoption of smarter resource control system in existing infrastructure, the proliferation of occupancy sensing is slowly increasing its pace. After reviewing an existing system, we find that utilization of Doppler radar is less progressive in enhancing the accuracy of occupancy sensing operation. Therefore, we introduce a novel analytical model that is meant for incorporating granularity in tracing the psychological periodic characteristic of an object by emphasizing on the mobility and uncertainty movement of an object in the monitoring area. Hence, the model is more emphasized on identifying the rate of change in any periodic physiological characteristic of an object with the aid of mathematical modelling. At the same time, the model extracts certain traits of frequency shift and directionality for better tracking of the unidentified object behavior where its applicabilibility can be generalized in majority of the fields related to object detection.
Conditioning Monitoring of Gearbox Using Different Methods: A ReviewIJMER
Gears are important element in a variety of industrial applications such as machine tool
and gearboxes. An unexpected failure of the gear may cause significant economic losses. For that
reason, fault diagnosis in gears has been the subject of intensive research. Vibration signal analysis
has been widely used in the fault detection of rotation machinery. Fault diagnosis plays an important
role in condition monitoring to enhance the machine time. In view of this, the present investigation
focused on the development of Fault diagnosis system of gearboxes based on the vibration signatures
and Artificial Neural Networks. In the present investigation to generate the vibration signatures an
experimental set-up has been fabricated with sensing and measuring equipment. The prominent faults,
wear, crack, broken tooth and insufficient lubrication of the gear were practically induced in the
present investigation. Vibration signatures of the gearbox were collected by transmitting the motion at
constant speed with gears having no fault, without applying any load. By inducing one fault at a time,
vibration signatures were collected with different degrees of wear on a gear tooth, a gear with a
broken tooth, tooth with crack and with insufficient lubrication. As the vibration data of maximum
amplitudes was found to be inseparable, fault diagnosis based on this data was not possible. Five
prominent statistical features were extracted based on data pertaining to maximum amplitudes of
vibration and used fault diagnosis. Due overlapping of this data, it was decided to use ANN based
fault diagnosis system for the present investigation. The set of statistical features were extracted based
on data pertaining to maximum amplitudes of vibration and used them as input parameters to the
ANN based fault diagnosis system designed.
Evolution of a shoe-mounted multi-IMU pedestrian dead reckoning PDR sensoroblu.io
Shoe-mounted inertial navigation systems, aka pedestrian dead reckoning or PDR sensors, are being preferred for pedestrian navigation because of the accuracy offered by them. Such shoe sensors are, for example, the obvious choice for real time location systems of first responders. The opensource platform OpenShoe has reported application of multiple IMUs in shoe-mounted PDR sensors to enhance noise performance. In this paper, we present an experimental study of the noise performance and the operating clocks based power consumption of multi-IMU platforms. The noise performances of a multi-IMU system with different combinations of IMUs are studied. It is observed that four-IMU system is best optimized for cost, area and power. Experiments with varying operating clocks frequency are performed on an in-house four-IMU shoe-mounted inertial navigation module (the Oblu module). Based on the outcome, power-optimized operating clock frequencies are obtained. Thus the overall study suggests that by selecting a well-designed operating point, a multi-IMU system can be made cost, size and power efficient without practically affecting its superior positioning performance.
Analytical framework for optimized feature extraction for upgrading occupancy...IJECEIAES
The adoption of the occupancy sensors has become an inevitable in commercial and non-commercial security devices, owing to their proficiency in the energy management. It has been found that the usages of conventional sensors is shrouded with operational problems, hence the use of the Doppler radar offers better mitigation of such problems. However, the usage of Doppler radar towards occupancy sensing in existing system is found to be very much in infancy stage. Moreover, the performance of monitoring using Doppler radar is yet to be improved more. Therefore, this paper introduces a simplified framework for enriching the event sensing performance by efficient selection of minimal robust attributes using Doppler radar. Adoption of analytical methodology has been carried out to find that different machine learning approaches could be further used for improving the accuracy performance for the feature that has been extracted in the proposed system of occuancy system.
Nuzzer algorithm based Human Tracking and Security System for Device-Free Pas...Eswar Publications
In recent years, majority of researches are focused on localization system for wireless environment. These researches rely on localization using devices to track the entities. In this paper, we use, a recently proposed Device-free Passive (DfP) that uses Probabilistic techniques to track locations in large-scale real environment without the need of carrying devices. The proposed system uses the Access Points (APs) and Monitoring Point (MPs) that works by monitoring and processing the changes in the received physical signals at one or more monitoring points to detect changes in the environment. The system uses continuous space estimator to return multiple location while the mortal is in motion. Our results show that the system can achieve very high probability of detection and tracking with very few false positives.
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
Vehicle density sensor system to manage trafficeSAT Journals
Abstract The aim of this study is to solve traffic congestion which is a severe problem in many modern cities all over the world. To solve this problem, we have a framework for a dynamic and automatic traffic light control system. Generally, each traffic light on an intersection is assigned a constant green signal time. It is possible to propose a dynamic time-based coordination schemes where the green signal time of the traffic lights is assigned based on the present conditions of the traffic. In this study, we adapt the approach to take data/input/image from object/ subject/vehicle and to process the input data by Computer and Microcontroller and finally display it on the traffic light signal to control the Closed Loop System.
Final project report on grocery store management system..pdfKamal Acharya
In today’s fast-changing business environment, it’s extremely important to be able to respond to client needs in the most effective and timely manner. If your customers wish to see your business online and have instant access to your products or services.
Online Grocery Store is an e-commerce website, which retails various grocery products. This project allows viewing various products available enables registered users to purchase desired products instantly using Paytm, UPI payment processor (Instant Pay) and also can place order by using Cash on Delivery (Pay Later) option. This project provides an easy access to Administrators and Managers to view orders placed using Pay Later and Instant Pay options.
In order to develop an e-commerce website, a number of Technologies must be studied and understood. These include multi-tiered architecture, server and client-side scripting techniques, implementation technologies, programming language (such as PHP, HTML, CSS, JavaScript) and MySQL relational databases. This is a project with the objective to develop a basic website where a consumer is provided with a shopping cart website and also to know about the technologies used to develop such a website.
This document will discuss each of the underlying technologies to create and implement an e- commerce website.
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)MdTanvirMahtab2
This presentation is about the working procedure of Shahjalal Fertilizer Company Limited (SFCL). A Govt. owned Company of Bangladesh Chemical Industries Corporation under Ministry of Industries.
Saudi Arabia stands as a titan in the global energy landscape, renowned for its abundant oil and gas resources. It's the largest exporter of petroleum and holds some of the world's most significant reserves. Let's delve into the top 10 oil and gas projects shaping Saudi Arabia's energy future in 2024.
Vaccine management system project report documentation..pdfKamal Acharya
The Division of Vaccine and Immunization is facing increasing difficulty monitoring vaccines and other commodities distribution once they have been distributed from the national stores. With the introduction of new vaccines, more challenges have been anticipated with this additions posing serious threat to the already over strained vaccine supply chain system in Kenya.
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdffxintegritypublishin
Advancements in technology unveil a myriad of electrical and electronic breakthroughs geared towards efficiently harnessing limited resources to meet human energy demands. The optimization of hybrid solar PV panels and pumped hydro energy supply systems plays a pivotal role in utilizing natural resources effectively. This initiative not only benefits humanity but also fosters environmental sustainability. The study investigated the design optimization of these hybrid systems, focusing on understanding solar radiation patterns, identifying geographical influences on solar radiation, formulating a mathematical model for system optimization, and determining the optimal configuration of PV panels and pumped hydro storage. Through a comparative analysis approach and eight weeks of data collection, the study addressed key research questions related to solar radiation patterns and optimal system design. The findings highlighted regions with heightened solar radiation levels, showcasing substantial potential for power generation and emphasizing the system's efficiency. Optimizing system design significantly boosted power generation, promoted renewable energy utilization, and enhanced energy storage capacity. The study underscored the benefits of optimizing hybrid solar PV panels and pumped hydro energy supply systems for sustainable energy usage. Optimizing the design of solar PV panels and pumped hydro energy supply systems as examined across diverse climatic conditions in a developing country, not only enhances power generation but also improves the integration of renewable energy sources and boosts energy storage capacities, particularly beneficial for less economically prosperous regions. Additionally, the study provides valuable insights for advancing energy research in economically viable areas. Recommendations included conducting site-specific assessments, utilizing advanced modeling tools, implementing regular maintenance protocols, and enhancing communication among system components.
Democratizing Fuzzing at Scale by Abhishek Aryaabh.arya
Presented at NUS: Fuzzing and Software Security Summer School 2024
This keynote talks about the democratization of fuzzing at scale, highlighting the collaboration between open source communities, academia, and industry to advance the field of fuzzing. It delves into the history of fuzzing, the development of scalable fuzzing platforms, and the empowerment of community-driven research. The talk will further discuss recent advancements leveraging AI/ML and offer insights into the future evolution of the fuzzing landscape.
Cosmetic shop management system project report.pdfKamal Acharya
Buying new cosmetic products is difficult. It can even be scary for those who have sensitive skin and are prone to skin trouble. The information needed to alleviate this problem is on the back of each product, but it's thought to interpret those ingredient lists unless you have a background in chemistry.
Instead of buying and hoping for the best, we can use data science to help us predict which products may be good fits for us. It includes various function programs to do the above mentioned tasks.
Data file handling has been effectively used in the program.
The automated cosmetic shop management system should deal with the automation of general workflow and administration process of the shop. The main processes of the system focus on customer's request where the system is able to search the most appropriate products and deliver it to the customers. It should help the employees to quickly identify the list of cosmetic product that have reached the minimum quantity and also keep a track of expired date for each cosmetic product. It should help the employees to find the rack number in which the product is placed.It is also Faster and more efficient way.
Event Management System Vb Net Project Report.pdfKamal Acharya
In present era, the scopes of information technology growing with a very fast .We do not see any are untouched from this industry. The scope of information technology has become wider includes: Business and industry. Household Business, Communication, Education, Entertainment, Science, Medicine, Engineering, Distance Learning, Weather Forecasting. Carrier Searching and so on.
My project named “Event Management System” is software that store and maintained all events coordinated in college. It also helpful to print related reports. My project will help to record the events coordinated by faculties with their Name, Event subject, date & details in an efficient & effective ways.
In my system we have to make a system by which a user can record all events coordinated by a particular faculty. In our proposed system some more featured are added which differs it from the existing system such as security.
Welcome to WIPAC Monthly the magazine brought to you by the LinkedIn Group Water Industry Process Automation & Control.
In this month's edition, along with this month's industry news to celebrate the 13 years since the group was created we have articles including
A case study of the used of Advanced Process Control at the Wastewater Treatment works at Lleida in Spain
A look back on an article on smart wastewater networks in order to see how the industry has measured up in the interim around the adoption of Digital Transformation in the Water Industry.