Sayom Shakib | American International University-Bangladesh (original) (raw)

Sayom Shakib

Computer Science enthusiast. Specially interested in Computer Vision, System Software and IoT.

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Papers by Sayom Shakib

Research paper thumbnail of Bridge Crack Detection Using Dense Convolutional Network (DenseNet)

Proceedings of the 2nd International Conference on Computing Advancements

Research paper thumbnail of Disaster Victim Tracking and Rescue Support System with Failsafe Multilayer Communication Networks

This paper presents an IoT-based system with redundant communication layers including conventiona... more This paper presents an IoT-based system with redundant communication layers including conventional cellular network, hybrid mesh LoRaWAN, and Bluetooth Low Energy (BLE) that tracks disaster victims using GNSS, transmits their bio-signs, and can be installed in disaster safety kits. This system not only will increase a victim’s chance of survival during or after a disastrous event but also, will help the rescue operation to be more accurate, organized, and efficient providing them geo-local and biometric data of victims. Moreover, usages of UAV and UGV equipped with LoRaWAN gateways and BLE receivers can expand the reach of rescue operations and potentially can save more lives. Having two long-range and a short-range communication layers ensures its operation even in extreme conditions where typical network- enabled devices and systems may not be very useful. Analyzing previous attempts to define resilient disaster-time networks and disaster management lifecycles, a complete framework has been discussed here in this paper along with implementation and simulation of the system.

Research paper thumbnail of Realtime Indoor Positioning System Using Wireless Access Points

Realtime indoor navigation is an essential necessity in urban life due to massive growth in numbe... more Realtime indoor navigation is an essential necessity in urban life due to massive growth in numbers of larger buildings. As satellite based Global Positioning System does not work accurately indoor, the necessity for an alternative positioning system is existing. Wi-Fi access points become very popular lately and like any other radio frequency signal, WiFi signals from more than two access points can be used to triangulate a user's location. This paper proposes an architecture to use Received Signal Strength Indicator from beacon frames originated from generic consumer end access points for indoor navigation.

Research paper thumbnail of Traffic Light Control Assistance for an Isolated Intersection in Dhaka City

Inefficient traffic light control in intersections is the main obstacle to ensure maximum utiliza... more Inefficient traffic light control in intersections is the main obstacle to ensure maximum utilization of traffic infrastructures. Ill-thought infrastructure design has ceased the possibility of an fully-automated system to succeed in regulating traffic flow in intersections. This paper studies the practicality and implementation of a real-time adaptive traffic control assistance system, that acquires data from Google Maps API and calculates the optimal green light time for each entry roads of an intersection to minimize average waiting time using an algorithm derived from network flow model. Responsible person will use a handheld device to get the suggestion from the server using RESTful Web API.

Thesis Chapters by Sayom Shakib

Research paper thumbnail of Disaster Victim Tracking and Rescue Support System with Failsafe Multilayer Communication Networks

This paper presents an IoT-based system with redundant communication layers including conventiona... more This paper presents an IoT-based system with redundant communication layers including
conventional cellular network, hybrid mesh LoRaWAN, and Bluetooth Low Energy (BLE) that
tracks disaster victims using GNSS, transmits their bio-signs, and can be installed in disaster
safety kits. This system not only will increase a victim’s chance of survival during or after a
disastrous event but also, will help the rescue operation to be more accurate, organized, and
efficient providing them geo-local and biometric data of victims. Moreover, usages of UAV
and UGV equipped with LoRaWAN gateways and BLE receivers can expand the reach of
rescue operations and potentially can save more lives. Having two long-range and a short-range
communication layers ensures its operation even in extreme conditions where typical network-
enabled devices and systems may not be very useful. Analyzing previous attempts to define
resilient disaster-time networks and disaster management lifecycles, a complete framework has
been discussed here in this paper along with implementation and simulation of the system.

Research paper thumbnail of Bridge Crack Detection Using Dense Convolutional Network (DenseNet)

Proceedings of the 2nd International Conference on Computing Advancements

Research paper thumbnail of Disaster Victim Tracking and Rescue Support System with Failsafe Multilayer Communication Networks

This paper presents an IoT-based system with redundant communication layers including conventiona... more This paper presents an IoT-based system with redundant communication layers including conventional cellular network, hybrid mesh LoRaWAN, and Bluetooth Low Energy (BLE) that tracks disaster victims using GNSS, transmits their bio-signs, and can be installed in disaster safety kits. This system not only will increase a victim’s chance of survival during or after a disastrous event but also, will help the rescue operation to be more accurate, organized, and efficient providing them geo-local and biometric data of victims. Moreover, usages of UAV and UGV equipped with LoRaWAN gateways and BLE receivers can expand the reach of rescue operations and potentially can save more lives. Having two long-range and a short-range communication layers ensures its operation even in extreme conditions where typical network- enabled devices and systems may not be very useful. Analyzing previous attempts to define resilient disaster-time networks and disaster management lifecycles, a complete framework has been discussed here in this paper along with implementation and simulation of the system.

Research paper thumbnail of Realtime Indoor Positioning System Using Wireless Access Points

Realtime indoor navigation is an essential necessity in urban life due to massive growth in numbe... more Realtime indoor navigation is an essential necessity in urban life due to massive growth in numbers of larger buildings. As satellite based Global Positioning System does not work accurately indoor, the necessity for an alternative positioning system is existing. Wi-Fi access points become very popular lately and like any other radio frequency signal, WiFi signals from more than two access points can be used to triangulate a user's location. This paper proposes an architecture to use Received Signal Strength Indicator from beacon frames originated from generic consumer end access points for indoor navigation.

Research paper thumbnail of Traffic Light Control Assistance for an Isolated Intersection in Dhaka City

Inefficient traffic light control in intersections is the main obstacle to ensure maximum utiliza... more Inefficient traffic light control in intersections is the main obstacle to ensure maximum utilization of traffic infrastructures. Ill-thought infrastructure design has ceased the possibility of an fully-automated system to succeed in regulating traffic flow in intersections. This paper studies the practicality and implementation of a real-time adaptive traffic control assistance system, that acquires data from Google Maps API and calculates the optimal green light time for each entry roads of an intersection to minimize average waiting time using an algorithm derived from network flow model. Responsible person will use a handheld device to get the suggestion from the server using RESTful Web API.

Research paper thumbnail of Disaster Victim Tracking and Rescue Support System with Failsafe Multilayer Communication Networks

This paper presents an IoT-based system with redundant communication layers including conventiona... more This paper presents an IoT-based system with redundant communication layers including
conventional cellular network, hybrid mesh LoRaWAN, and Bluetooth Low Energy (BLE) that
tracks disaster victims using GNSS, transmits their bio-signs, and can be installed in disaster
safety kits. This system not only will increase a victim’s chance of survival during or after a
disastrous event but also, will help the rescue operation to be more accurate, organized, and
efficient providing them geo-local and biometric data of victims. Moreover, usages of UAV
and UGV equipped with LoRaWAN gateways and BLE receivers can expand the reach of
rescue operations and potentially can save more lives. Having two long-range and a short-range
communication layers ensures its operation even in extreme conditions where typical network-
enabled devices and systems may not be very useful. Analyzing previous attempts to define
resilient disaster-time networks and disaster management lifecycles, a complete framework has
been discussed here in this paper along with implementation and simulation of the system.

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