golam rashed | Saitama University (original) (raw)

Papers by golam rashed

Journal of Scientific Research, May 1, 2021

In most of the cluster-based routing protocols for wireless sensor networks (WSNs), cluster heads... more In most of the cluster-based routing protocols for wireless sensor networks (WSNs), cluster heads (CHs) are selected from the normal sensors which may expire rapidly due to fast energy diminution for such an additional workload. As a consequence, the network lifetime of such cluster-based routing protocol reduces drastically. To resolve these constraints, in this study, we proposed a gateway-based routing protocol-namely Energy-Aware Gateway Based Routing Protocol (EAGBRP) for WSNs. In our proposed protocol, the deployed sensor nodes of a WSN were divided into five logical regions based on their location in the sensing field. The base station (BS) was installed out of the sensing area, and two gateway nodes were inaugurated at two predefined regions of the sensing area. The CH in each region is independent of the other regions and selected based on a weighted election probability. We implemented our proposed routing protocol through simulations. To evaluate the performance of our EAGBRP, we simulated SEP, M-GEAR, and MGBEHA (4GW) protocols. The network lifetime, throughput, and residual energy parameters are utilized for performance analysis. It is revealed from the performance analysis results that WSNs with EAGBRP achieve maximum network lifetime and throughput over other considered protocols with minimum energy consumption.

Internet of Things (IoT) provides a platform where devices can be connected, sensed and controlle... more Internet of Things (IoT) provides a platform where devices can be connected, sensed and controlled remotely across a network infrastructure. In this paper we propose a smart campus model using IoT technology and its purpose is to achieve the intelligent management and service on campus. After analyzing various research studies, we have designed IoT based smart campus model which incorporates campus oriented application services. The designed smart campus model is worked the based on the idea of the three network hierarchy as perception layer, network layer, and application layer. Services will be provided to the end users via mobile application and display monitoring infrastructure by our proposed model. Before deploying such architecture, we have identified the challenges for design smart campus model. We have implemented some of the application services using hardware and software platform. Finally, we tested the viability of our proposed smart campus model by experiment. In experiment, it is revealed that our IoT based smart campus model based applications services are useful for campus students, teachers and campus communities.

Humans behaviors and experiences in social spaces are believed to be the result of the processes ... more Humans behaviors and experiences in social spaces are believed to be the result of the processes of the mind that are influenced by the different features of these spaces. By observing humans behaviors and experiences, it can be feasible to read their level of interests, preferences in any social environments. However, making manual large scale observation of human behaviors using paper-and-pencil based method is a very difficult and complicated task. In this study, an attractive solution to this complicated task is discussed. Here, we used our network enabled multiple LIDARs pole based human tracking system in supporting to our solution. This system can robustly track humans in any social environments. Our solution provides an easy way to observe humans behaviors from human tracking data to read their interests, preferences inside any social spaces. Finally, we tested our solution using a large set of human tracking data from an art gallery of a real museum to validate its effectiveness.

Journal of Scientific Research, May 6, 2022

In most of the traditional cluster-based hierarchical routing protocols, the cluster head (CH) se... more In most of the traditional cluster-based hierarchical routing protocols, the cluster head (CH) selection is made on a random basis. As a result, some unlucky sensor nodes (SNs) become dead quickly; thereby, network lifetime reduces drastically. To overcome this problem, in this paper, a new cluster-based routing protocol-Energy-Aware Threshold Sensitive Stable Election Protocol (EATSEP) is presented for wireless sensor networks (WSNs). In the EATSEP protocol, the CH selection is an optimum process where the initial and residual energy of each SNs are considered within a heterogeneous SNs energy environment. Additionally, our proposed EATSEP protocol has managed to reduce long-distance transmission by routing data among CHs to the base station. In our present study, we have simulated the EATSEP protocol through MATLAB to compare its performance with other popular protocols under some well-known performance metrics. The experimental results indicate that the network stability of the EATSEP protocol improves by 80.81, 66.41, and 27.06 %, respectively, compared to the low-energy adaptive clustering hierarchy (LEACH), Stable Election Protocol (SEP), and Threshold Sensitive SEP under a particular setting. In terms of energy consumption and network throughput, the EATSEP is also superior to other protocols.

This paper presents a guide robot system which observes people's interest and intention towar... more This paper presents a guide robot system which observes people's interest and intention towards paintings in museum scenarios and proactively offers guidance to them using a guide robot, if needed. To do that, we utilized multiple USB video camera sensors to support the guide robot in detecting and tracking people's visual focus of attention (VFOA) toward paintings. In this study, we consider each person's head orientation and profile information and compute importance values to identify a target-person that may be interested in a particular painting. After identifying the target-person, the guide robot moves autonomously through an appropriate motion path from the so called public-distance to his/her social-distance to explain details about the painting to which s/he is interested. Furthermore, we demonstrate the viability of our guide robot system by experimenting with the Robovie-R3 as a museum guide robot. Finally, we tested the system to validate its effectiveness.

Zenodo (CERN European Organization for Nuclear Research), Jan 29, 2020

In this paper, we made a comprehensive performance evaluative study of a secured MIMO Orthogonal ... more In this paper, we made a comprehensive performance evaluative study of a secured MIMO Orthogonal Frequency-Division Multiplexing wireless communication system with implementation of two pre channel equalization techniques such as Pre-Minimum Mean Square Error (Pre-MMSE) and Pre-Zero Forcing(Pre-ZF) under QPSK and QAM digital modulations. The simulated system deploys three channel coding techniques(1/2-rated Convolutional, CRC and BCH). In the present simulated system, text message transmission has been secured with concatenated implementation of Electronic Codebook (ECB) and Cipher Feedback(CFB) cryptographic algorithm. It is remarked from simulation results that the MIMO OFDM system outperforms with pre-ZF channel equalization,QAM digital modulation and BCH channel coding schemes under fading channels(AWGN and Raleigh).In Pre-MMSE/pre-ZF channel equalization scheme, the system shows comparatively worst performance in convolutional channel coding scheme with QAM/QPSK digital modulation. With increase in noise power as compared to signal power, the system is found to have shown performance deterioration.

arXiv (Cornell University), Jul 17, 2012

The efficient use of energy source in a sensor node is most desirable criteria for prolong the li... more The efficient use of energy source in a sensor node is most desirable criteria for prolong the life time of wireless sensor network. In this paper, we propose a two layer hierarchical routing protocol called Cluster Based Hierarchical Routing Protocol (CBHRP). We introduce a new concept called head-set, consists of one active cluster head and some other associate cluster heads within a cluster. The head-set members are responsible for control and management of the network. Results show that this protocol reduces energy consumption quite significantly and prolongs the life time of sensor network as compared to LEACH.

International Journal of Computer Science and Information Technology

Cyberbullying includes the repeated and intentional use of digital technology to target another p... more Cyberbullying includes the repeated and intentional use of digital technology to target another person with threats, harassment, or public humiliation. One of the techniques of Cyberbullying is sharing bullying memes on social media, which has increased enormously in recent years. Memes are images and texts overlapped and sometimes together they present concepts that become dubious if one of them is absent. Here, we propose a unified deep neural model for detecting bullying memes on social media. In the proposed unified architecture, VGG16-BiLSTM, consists of a VGG16 convolutional neural network for predicting the visual bullying content and a BiLSTM with one-dimensional convolution for predicting the textual bullying content. The meme is discretized by extracting the text from the image using OCR. The perceptron-based feature-level strategy for multimodal learning is used to dynamically combine the features of discrete modalities and output the final category as bullying or nonbull...

Lecture notes in networks and systems, 2022

ASIAN JOURNAL FOR CONVERGENCE IN TECHNOLOGY (AJCT ) -UGC LISTED, Nov 2, 2018

This paper reports on the trending literature of Human-Robot Interaction (HRI) methods for proact... more This paper reports on the trending literature of Human-Robot Interaction (HRI) methods for proactively initiating interaction with human by social robots in social spaces. The discussion explores the state-of-the-art proactive HRI methods and pinpoints the necessity of dedicated attention to initiate successful proactive interaction by social robots with human. The findings suggest that although reactive HRI methods are well established in social spaces but very few proactive methods are implemented. More research should be paid to introduce social robot's proactive HRI approach properly in social spaces. The literature further showed that robust human detection and tracking method is crucial to read human's is interests and intentions from their behaviors before introducing proactive HRI with human in social spaces. Finally, future potential applications of social robots are addressed.

arXiv (Cornell University), Jul 17, 2012

In this paper, we investigate the impact of Forward Error Correction (FEC) codes namely Cyclic Re... more In this paper, we investigate the impact of Forward Error Correction (FEC) codes namely Cyclic Redundancy Code and Convolution Code on the performance of OFDM wireless communication system for speech signal transmission over both AWGN and fading (Rayleigh and Rician) channels in term of Bit Error Probability. The simulation has been done in conjunction with QPSK digital modulation and compared with uncoded resultstal modulation. In the fading channels, it is found via computer simulation that the performance of the Convolution interleaved based OFDM systems outperform than that of CRC interleaved OFDM system as well as uncoded OFDM channels.

2019 1st International Conference on Advances in Science, Engineering and Robotics Technology (ICASERT)

With the advancement of wireless technology, wireless based automation is playing an important ro... more With the advancement of wireless technology, wireless based automation is playing an important role in human life. Home automation is a house or living environment that contains the technology to allow devices and systems to be controlled automatically. The remote control is useful to keep home comfortable for general people and to support the elderly and physically impaired people. In this paper, we propose a system that will be able to control household appliances remotely. The system provides ON/OFF voice response via the speaker according to the user command on the appliances. We divide the overall system into two modules. One is a transmitter or Bluetooth remote and another one is receiver or relay module. Bluetooth remote consists of several push buttons to control the household appliances. The remote and relay modules are configured as master-slave to communicate between the modules. To produce the voice response, the recorded voices are store in micro-SD card. With the voice response, the user can easily understand which household appliance is controlling at a particular time. We implement the system to validate its applicability. Additionally, we compare and analyze statistically the general people’s impression of the proposed system over a traditional system.

2015 International Conference on Computer and Information Engineering (ICCIE), 2015

This paper presents a guide robot system which observes people's interest and intention towar... more This paper presents a guide robot system which observes people's interest and intention towards paintings in museum scenarios and proactively offers guidance to them using a guide robot, if needed. To do that, we utilized multiple USB video camera sensors to support the guide robot in detecting and tracking people's visual focus of attention (VFOA) toward paintings. In this study, we consider each person's head orientation and profile information and compute importance values to identify a target-person that may be interested in a particular painting. After identifying the target-person, the guide robot moves autonomously through an appropriate motion path from the so called public-distance to his/her social-distance to explain details about the painting to which s/he is interested. Furthermore, we demonstrate the viability of our guide robot system by experimenting with the Robovie-R3 as a museum guide robot. Finally, we tested the system to validate its effectiveness.

MC–CDMA wireless communication system under implementation of various signal detection schemes

2019 International Conference on Computer, Communication, Chemical, Materials and Electronic Engineering (IC4ME2), 2019

Internet of Things (IoT) provides a platform where devices can be connected, sensed and controlle... more Internet of Things (IoT) provides a platform where devices can be connected, sensed and controlled remotely across a network infrastructure. In this paper we propose a smart campus model using IoT technology and its purpose is to achieve the intelligent management and service on campus. After analyzing various research studies, we have designed IoT based smart campus model which incorporates campus oriented application services. The designed smart campus model is worked the based on the idea of the three network hierarchy as perception layer, network layer, and application layer. Services will be provided to the end users via mobile application and display monitoring infrastructure by our proposed model. Before deploying such architecture, we have identified the challenges for design smart campus model. We have implemented some of the application services using hardware and software platform. Finally, we tested the viability of our proposed smart campus model by experiment. In experiment, it is revealed that our IoT based smart campus model based applications services are useful for campus students, teachers and campus communities.

AbstractIn this paper, we have tried to detect the focus of attention of the driver from his/her ... more AbstractIn this paper, we have tried to detect the focus of attention of the driver from his/her head movement and orientation of pupil detection. If the driver changes his/her gaze, the corresponding coordinate of pupil also changes. The frontal view of the person is divided into three regions corresponding to three target objects and the gaze directions are detected based on in which region the coordinate of pupil is located in the eye area. In our technique we have used a camera to capture video frames of the target person. The frames are converted into grey image and processed pixel by pixel. A 3D head tracker is used to extract the facial regions from the image. From the facial regions face points and eye regions are detected. Using a Vector Field of Image Gradient (VFIG), the pupil of eye is detected. In our approach, we have used the face points to create a rectangle outside of the eyes to detect the gaze of driver by applying different techniques under different lighting con...

2017 International Conference on Electrical, Computer and Communication Engineering (ECCE), 2017

Humans behaviors and experiences in social spaces are believed to be the result of the processes ... more Humans behaviors and experiences in social spaces are believed to be the result of the processes of the mind that are influenced by the different features of these spaces. By observing humans behaviors and experiences, it can be feasible to read their level of interests, preferences in any social environments. However, making manual large scale observation of human behaviors using paper-and-pencil based method is a very difficult and complicated task. In this study, an attractive solution to this complicated task is discussed. Here, we used our network enabled multiple LIDARs pole based human tracking system in supporting to our solution. This system can robustly track humans in any social environments. Our solution provides an easy way to observe humans behaviors from human tracking data to read their interests, preferences inside any social spaces. Finally, we tested our solution using a large set of human tracking data from an art gallery of a real museum to validate its effectiv...

2016 Joint 8th International Conference on Soft Computing and Intelligent Systems (SCIS) and 17th International Symposium on Advanced Intelligent Systems (ISIS), 2016

This paper introduces a system to track visitors' positions and movement patterns through mus... more This paper introduces a system to track visitors' positions and movement patterns through museum art galleries with the goal of assisting the curators and other Museum Professionals (MPs) in the tedious task of analyzing visitors' activities, behaviors and experiences. We use multiple LIDARs as a primary sensing technology in supporting our proposed system. We also describe how valuable information related to visitor behaviors can be autonomously collected and analyzed using our system. Additionally, we present a solution to visualize the visitors' movement patterns and preferences with respect to the exhibits. Finally, we tested our system in an art gallery of a real museum to validate its effectiveness.

2020 IEEE International Women in Engineering (WIE) Conference on Electrical and Computer Engineering (WIECON-ECE), 2020

This paper propounds an automated Facial Expression Recognition (FER) system based on Histogram o... more This paper propounds an automated Facial Expression Recognition (FER) system based on Histogram of Oriented Gradients (HOG) and Support Vector Machine (SVM). The proposed method recognizes facial expressions for static images and real-time applications. Firstly, face and facial parts are detected from the input image. Preprocessing is performed over the detected parts using histogram equalization and image sharpening technique to reduce the illumination effect. Then HOG is used to extract the distinctive image features from facial regions and concatenated into a single feature vector. Finally, the SVM is used for expression classification with a polynomial kernel function. The proposed system is evaluated on renowned JAFFE and Cohn-Kanade facial expression database for seven basic facial expressions. It reveals that the proposed FER system yields an accuracy up to 97.62% and 98.61% for JAFFE and Cohn-Kanade databases, respectively.

Journal of Scientific Research, May 1, 2021

In most of the cluster-based routing protocols for wireless sensor networks (WSNs), cluster heads... more In most of the cluster-based routing protocols for wireless sensor networks (WSNs), cluster heads (CHs) are selected from the normal sensors which may expire rapidly due to fast energy diminution for such an additional workload. As a consequence, the network lifetime of such cluster-based routing protocol reduces drastically. To resolve these constraints, in this study, we proposed a gateway-based routing protocol-namely Energy-Aware Gateway Based Routing Protocol (EAGBRP) for WSNs. In our proposed protocol, the deployed sensor nodes of a WSN were divided into five logical regions based on their location in the sensing field. The base station (BS) was installed out of the sensing area, and two gateway nodes were inaugurated at two predefined regions of the sensing area. The CH in each region is independent of the other regions and selected based on a weighted election probability. We implemented our proposed routing protocol through simulations. To evaluate the performance of our EAGBRP, we simulated SEP, M-GEAR, and MGBEHA (4GW) protocols. The network lifetime, throughput, and residual energy parameters are utilized for performance analysis. It is revealed from the performance analysis results that WSNs with EAGBRP achieve maximum network lifetime and throughput over other considered protocols with minimum energy consumption.

Internet of Things (IoT) provides a platform where devices can be connected, sensed and controlle... more Internet of Things (IoT) provides a platform where devices can be connected, sensed and controlled remotely across a network infrastructure. In this paper we propose a smart campus model using IoT technology and its purpose is to achieve the intelligent management and service on campus. After analyzing various research studies, we have designed IoT based smart campus model which incorporates campus oriented application services. The designed smart campus model is worked the based on the idea of the three network hierarchy as perception layer, network layer, and application layer. Services will be provided to the end users via mobile application and display monitoring infrastructure by our proposed model. Before deploying such architecture, we have identified the challenges for design smart campus model. We have implemented some of the application services using hardware and software platform. Finally, we tested the viability of our proposed smart campus model by experiment. In experiment, it is revealed that our IoT based smart campus model based applications services are useful for campus students, teachers and campus communities.

Humans behaviors and experiences in social spaces are believed to be the result of the processes ... more Humans behaviors and experiences in social spaces are believed to be the result of the processes of the mind that are influenced by the different features of these spaces. By observing humans behaviors and experiences, it can be feasible to read their level of interests, preferences in any social environments. However, making manual large scale observation of human behaviors using paper-and-pencil based method is a very difficult and complicated task. In this study, an attractive solution to this complicated task is discussed. Here, we used our network enabled multiple LIDARs pole based human tracking system in supporting to our solution. This system can robustly track humans in any social environments. Our solution provides an easy way to observe humans behaviors from human tracking data to read their interests, preferences inside any social spaces. Finally, we tested our solution using a large set of human tracking data from an art gallery of a real museum to validate its effectiveness.

Journal of Scientific Research, May 6, 2022

In most of the traditional cluster-based hierarchical routing protocols, the cluster head (CH) se... more In most of the traditional cluster-based hierarchical routing protocols, the cluster head (CH) selection is made on a random basis. As a result, some unlucky sensor nodes (SNs) become dead quickly; thereby, network lifetime reduces drastically. To overcome this problem, in this paper, a new cluster-based routing protocol-Energy-Aware Threshold Sensitive Stable Election Protocol (EATSEP) is presented for wireless sensor networks (WSNs). In the EATSEP protocol, the CH selection is an optimum process where the initial and residual energy of each SNs are considered within a heterogeneous SNs energy environment. Additionally, our proposed EATSEP protocol has managed to reduce long-distance transmission by routing data among CHs to the base station. In our present study, we have simulated the EATSEP protocol through MATLAB to compare its performance with other popular protocols under some well-known performance metrics. The experimental results indicate that the network stability of the EATSEP protocol improves by 80.81, 66.41, and 27.06 %, respectively, compared to the low-energy adaptive clustering hierarchy (LEACH), Stable Election Protocol (SEP), and Threshold Sensitive SEP under a particular setting. In terms of energy consumption and network throughput, the EATSEP is also superior to other protocols.

This paper presents a guide robot system which observes people's interest and intention towar... more This paper presents a guide robot system which observes people's interest and intention towards paintings in museum scenarios and proactively offers guidance to them using a guide robot, if needed. To do that, we utilized multiple USB video camera sensors to support the guide robot in detecting and tracking people's visual focus of attention (VFOA) toward paintings. In this study, we consider each person's head orientation and profile information and compute importance values to identify a target-person that may be interested in a particular painting. After identifying the target-person, the guide robot moves autonomously through an appropriate motion path from the so called public-distance to his/her social-distance to explain details about the painting to which s/he is interested. Furthermore, we demonstrate the viability of our guide robot system by experimenting with the Robovie-R3 as a museum guide robot. Finally, we tested the system to validate its effectiveness.

Zenodo (CERN European Organization for Nuclear Research), Jan 29, 2020

In this paper, we made a comprehensive performance evaluative study of a secured MIMO Orthogonal ... more In this paper, we made a comprehensive performance evaluative study of a secured MIMO Orthogonal Frequency-Division Multiplexing wireless communication system with implementation of two pre channel equalization techniques such as Pre-Minimum Mean Square Error (Pre-MMSE) and Pre-Zero Forcing(Pre-ZF) under QPSK and QAM digital modulations. The simulated system deploys three channel coding techniques(1/2-rated Convolutional, CRC and BCH). In the present simulated system, text message transmission has been secured with concatenated implementation of Electronic Codebook (ECB) and Cipher Feedback(CFB) cryptographic algorithm. It is remarked from simulation results that the MIMO OFDM system outperforms with pre-ZF channel equalization,QAM digital modulation and BCH channel coding schemes under fading channels(AWGN and Raleigh).In Pre-MMSE/pre-ZF channel equalization scheme, the system shows comparatively worst performance in convolutional channel coding scheme with QAM/QPSK digital modulation. With increase in noise power as compared to signal power, the system is found to have shown performance deterioration.

arXiv (Cornell University), Jul 17, 2012

The efficient use of energy source in a sensor node is most desirable criteria for prolong the li... more The efficient use of energy source in a sensor node is most desirable criteria for prolong the life time of wireless sensor network. In this paper, we propose a two layer hierarchical routing protocol called Cluster Based Hierarchical Routing Protocol (CBHRP). We introduce a new concept called head-set, consists of one active cluster head and some other associate cluster heads within a cluster. The head-set members are responsible for control and management of the network. Results show that this protocol reduces energy consumption quite significantly and prolongs the life time of sensor network as compared to LEACH.

International Journal of Computer Science and Information Technology

Cyberbullying includes the repeated and intentional use of digital technology to target another p... more Cyberbullying includes the repeated and intentional use of digital technology to target another person with threats, harassment, or public humiliation. One of the techniques of Cyberbullying is sharing bullying memes on social media, which has increased enormously in recent years. Memes are images and texts overlapped and sometimes together they present concepts that become dubious if one of them is absent. Here, we propose a unified deep neural model for detecting bullying memes on social media. In the proposed unified architecture, VGG16-BiLSTM, consists of a VGG16 convolutional neural network for predicting the visual bullying content and a BiLSTM with one-dimensional convolution for predicting the textual bullying content. The meme is discretized by extracting the text from the image using OCR. The perceptron-based feature-level strategy for multimodal learning is used to dynamically combine the features of discrete modalities and output the final category as bullying or nonbull...

Lecture notes in networks and systems, 2022

ASIAN JOURNAL FOR CONVERGENCE IN TECHNOLOGY (AJCT ) -UGC LISTED, Nov 2, 2018

This paper reports on the trending literature of Human-Robot Interaction (HRI) methods for proact... more This paper reports on the trending literature of Human-Robot Interaction (HRI) methods for proactively initiating interaction with human by social robots in social spaces. The discussion explores the state-of-the-art proactive HRI methods and pinpoints the necessity of dedicated attention to initiate successful proactive interaction by social robots with human. The findings suggest that although reactive HRI methods are well established in social spaces but very few proactive methods are implemented. More research should be paid to introduce social robot's proactive HRI approach properly in social spaces. The literature further showed that robust human detection and tracking method is crucial to read human's is interests and intentions from their behaviors before introducing proactive HRI with human in social spaces. Finally, future potential applications of social robots are addressed.

arXiv (Cornell University), Jul 17, 2012

In this paper, we investigate the impact of Forward Error Correction (FEC) codes namely Cyclic Re... more In this paper, we investigate the impact of Forward Error Correction (FEC) codes namely Cyclic Redundancy Code and Convolution Code on the performance of OFDM wireless communication system for speech signal transmission over both AWGN and fading (Rayleigh and Rician) channels in term of Bit Error Probability. The simulation has been done in conjunction with QPSK digital modulation and compared with uncoded resultstal modulation. In the fading channels, it is found via computer simulation that the performance of the Convolution interleaved based OFDM systems outperform than that of CRC interleaved OFDM system as well as uncoded OFDM channels.

2019 1st International Conference on Advances in Science, Engineering and Robotics Technology (ICASERT)

With the advancement of wireless technology, wireless based automation is playing an important ro... more With the advancement of wireless technology, wireless based automation is playing an important role in human life. Home automation is a house or living environment that contains the technology to allow devices and systems to be controlled automatically. The remote control is useful to keep home comfortable for general people and to support the elderly and physically impaired people. In this paper, we propose a system that will be able to control household appliances remotely. The system provides ON/OFF voice response via the speaker according to the user command on the appliances. We divide the overall system into two modules. One is a transmitter or Bluetooth remote and another one is receiver or relay module. Bluetooth remote consists of several push buttons to control the household appliances. The remote and relay modules are configured as master-slave to communicate between the modules. To produce the voice response, the recorded voices are store in micro-SD card. With the voice response, the user can easily understand which household appliance is controlling at a particular time. We implement the system to validate its applicability. Additionally, we compare and analyze statistically the general people’s impression of the proposed system over a traditional system.

2015 International Conference on Computer and Information Engineering (ICCIE), 2015

This paper presents a guide robot system which observes people's interest and intention towar... more This paper presents a guide robot system which observes people's interest and intention towards paintings in museum scenarios and proactively offers guidance to them using a guide robot, if needed. To do that, we utilized multiple USB video camera sensors to support the guide robot in detecting and tracking people's visual focus of attention (VFOA) toward paintings. In this study, we consider each person's head orientation and profile information and compute importance values to identify a target-person that may be interested in a particular painting. After identifying the target-person, the guide robot moves autonomously through an appropriate motion path from the so called public-distance to his/her social-distance to explain details about the painting to which s/he is interested. Furthermore, we demonstrate the viability of our guide robot system by experimenting with the Robovie-R3 as a museum guide robot. Finally, we tested the system to validate its effectiveness.

MC–CDMA wireless communication system under implementation of various signal detection schemes

2019 International Conference on Computer, Communication, Chemical, Materials and Electronic Engineering (IC4ME2), 2019

Internet of Things (IoT) provides a platform where devices can be connected, sensed and controlle... more Internet of Things (IoT) provides a platform where devices can be connected, sensed and controlled remotely across a network infrastructure. In this paper we propose a smart campus model using IoT technology and its purpose is to achieve the intelligent management and service on campus. After analyzing various research studies, we have designed IoT based smart campus model which incorporates campus oriented application services. The designed smart campus model is worked the based on the idea of the three network hierarchy as perception layer, network layer, and application layer. Services will be provided to the end users via mobile application and display monitoring infrastructure by our proposed model. Before deploying such architecture, we have identified the challenges for design smart campus model. We have implemented some of the application services using hardware and software platform. Finally, we tested the viability of our proposed smart campus model by experiment. In experiment, it is revealed that our IoT based smart campus model based applications services are useful for campus students, teachers and campus communities.

AbstractIn this paper, we have tried to detect the focus of attention of the driver from his/her ... more AbstractIn this paper, we have tried to detect the focus of attention of the driver from his/her head movement and orientation of pupil detection. If the driver changes his/her gaze, the corresponding coordinate of pupil also changes. The frontal view of the person is divided into three regions corresponding to three target objects and the gaze directions are detected based on in which region the coordinate of pupil is located in the eye area. In our technique we have used a camera to capture video frames of the target person. The frames are converted into grey image and processed pixel by pixel. A 3D head tracker is used to extract the facial regions from the image. From the facial regions face points and eye regions are detected. Using a Vector Field of Image Gradient (VFIG), the pupil of eye is detected. In our approach, we have used the face points to create a rectangle outside of the eyes to detect the gaze of driver by applying different techniques under different lighting con...

2017 International Conference on Electrical, Computer and Communication Engineering (ECCE), 2017

Humans behaviors and experiences in social spaces are believed to be the result of the processes ... more Humans behaviors and experiences in social spaces are believed to be the result of the processes of the mind that are influenced by the different features of these spaces. By observing humans behaviors and experiences, it can be feasible to read their level of interests, preferences in any social environments. However, making manual large scale observation of human behaviors using paper-and-pencil based method is a very difficult and complicated task. In this study, an attractive solution to this complicated task is discussed. Here, we used our network enabled multiple LIDARs pole based human tracking system in supporting to our solution. This system can robustly track humans in any social environments. Our solution provides an easy way to observe humans behaviors from human tracking data to read their interests, preferences inside any social spaces. Finally, we tested our solution using a large set of human tracking data from an art gallery of a real museum to validate its effectiv...

2016 Joint 8th International Conference on Soft Computing and Intelligent Systems (SCIS) and 17th International Symposium on Advanced Intelligent Systems (ISIS), 2016

This paper introduces a system to track visitors' positions and movement patterns through mus... more This paper introduces a system to track visitors' positions and movement patterns through museum art galleries with the goal of assisting the curators and other Museum Professionals (MPs) in the tedious task of analyzing visitors' activities, behaviors and experiences. We use multiple LIDARs as a primary sensing technology in supporting our proposed system. We also describe how valuable information related to visitor behaviors can be autonomously collected and analyzed using our system. Additionally, we present a solution to visualize the visitors' movement patterns and preferences with respect to the exhibits. Finally, we tested our system in an art gallery of a real museum to validate its effectiveness.

2020 IEEE International Women in Engineering (WIE) Conference on Electrical and Computer Engineering (WIECON-ECE), 2020

This paper propounds an automated Facial Expression Recognition (FER) system based on Histogram o... more This paper propounds an automated Facial Expression Recognition (FER) system based on Histogram of Oriented Gradients (HOG) and Support Vector Machine (SVM). The proposed method recognizes facial expressions for static images and real-time applications. Firstly, face and facial parts are detected from the input image. Preprocessing is performed over the detected parts using histogram equalization and image sharpening technique to reduce the illumination effect. Then HOG is used to extract the distinctive image features from facial regions and concatenated into a single feature vector. Finally, the SVM is used for expression classification with a polynomial kernel function. The proposed system is evaluated on renowned JAFFE and Cohn-Kanade facial expression database for seven basic facial expressions. It reveals that the proposed FER system yields an accuracy up to 97.62% and 98.61% for JAFFE and Cohn-Kanade databases, respectively.