ºÝºÝߣshows by User: Kandyari / http://www.slideshare.net/images/logo.gif ºÝºÝߣshows by User: Kandyari / Tue, 28 Jul 2020 23:27:27 GMT ºÝºÝߣShare feed for ºÝºÝߣshows by User: Kandyari IOT based irrigation system /slideshow/iot-based-irrigation-system/237350387 iotbasedirrigationsystem-200728232727
This Project and presentation is created by 'Shanjedul Hassan' ABSTRACT Despite the perception people may have regarding the agricultural process, the reality is that today’s agriculture industry is data-cantered, precise, and smarter than ever. The rapid emergence of the Internet-of-Things (IoT) based technologies redesigned almost every industry including ‘‘smart agriculture’’ which moved the industry from statistical to quantitative approaches. Such revolutionary changes are shaking the existing agriculture methods and creating new opportunities along with a range of challenges. This article highlights the potential of wireless sensors and IoT in agriculture, as well as the challenges expected to be faced when integrating this technology with the traditional farming practices. IoT devices and communication techniques associated with wireless sensors encountered in agriculture applications are analyzed in detail. What sensors are available for specific agriculture application, like soil preparation, crop status, irrigation, insect, and pest detection are listed. How this technology helping the growers throughout the crop stages, from sowing until harvesting, packing, and transportation is explained. Furthermore, the use of unmanned aerial vehicles for crop surveillance and other favourable applications such as optimizing crop yield is considered in this article. State-of-the-art IoT-based architectures and platforms used in agriculture are also highlighted wherever suitable. Finally, based on this thorough review, we identify current and future trends of IoT in agriculture and highlight potential research challenges. ]]>
This Project and presentation is created by 'Shanjedul Hassan' ABSTRACT Despite the perception people may have regarding the agricultural process, the reality is that today’s agriculture industry is data-cantered, precise, and smarter than ever. The rapid emergence of the Internet-of-Things (IoT) based technologies redesigned almost every industry including ‘‘smart agriculture’’ which moved the industry from statistical to quantitative approaches. Such revolutionary changes are shaking the existing agriculture methods and creating new opportunities along with a range of challenges. This article highlights the potential of wireless sensors and IoT in agriculture, as well as the challenges expected to be faced when integrating this technology with the traditional farming practices. IoT devices and communication techniques associated with wireless sensors encountered in agriculture applications are analyzed in detail. What sensors are available for specific agriculture application, like soil preparation, crop status, irrigation, insect, and pest detection are listed. How this technology helping the growers throughout the crop stages, from sowing until harvesting, packing, and transportation is explained. Furthermore, the use of unmanned aerial vehicles for crop surveillance and other favourable applications such as optimizing crop yield is considered in this article. State-of-the-art IoT-based architectures and platforms used in agriculture are also highlighted wherever suitable. Finally, based on this thorough review, we identify current and future trends of IoT in agriculture and highlight potential research challenges. ]]> Tue, 28 Jul 2020 23:27:27 GMT /slideshow/iot-based-irrigation-system/237350387 Kandyari@slideshare.net(Kandyari) IOT based irrigation system Kandyari This Project and presentation is created by 'Shanjedul Hassan' ABSTRACT Despite the perception people may have regarding the agricultural process, the reality is that today’s agriculture industry is data-cantered, precise, and smarter than ever. The rapid emergence of the Internet-of-Things (IoT) based technologies redesigned almost every industry including ‘‘smart agriculture’’ which moved the industry from statistical to quantitative approaches. Such revolutionary changes are shaking the existing agriculture methods and creating new opportunities along with a range of challenges. This article highlights the potential of wireless sensors and IoT in agriculture, as well as the challenges expected to be faced when integrating this technology with the traditional farming practices. IoT devices and communication techniques associated with wireless sensors encountered in agriculture applications are analyzed in detail. What sensors are available for specific agriculture application, like soil preparation, crop status, irrigation, insect, and pest detection are listed. How this technology helping the growers throughout the crop stages, from sowing until harvesting, packing, and transportation is explained. Furthermore, the use of unmanned aerial vehicles for crop surveillance and other favourable applications such as optimizing crop yield is considered in this article. State-of-the-art IoT-based architectures and platforms used in agriculture are also highlighted wherever suitable. Finally, based on this thorough review, we identify current and future trends of IoT in agriculture and highlight potential research challenges. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/iotbasedirrigationsystem-200728232727-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> This Project and presentation is created by &#39;Shanjedul Hassan&#39; ABSTRACT Despite the perception people may have regarding the agricultural process, the reality is that today’s agriculture industry is data-cantered, precise, and smarter than ever. The rapid emergence of the Internet-of-Things (IoT) based technologies redesigned almost every industry including ‘‘smart agriculture’’ which moved the industry from statistical to quantitative approaches. Such revolutionary changes are shaking the existing agriculture methods and creating new opportunities along with a range of challenges. This article highlights the potential of wireless sensors and IoT in agriculture, as well as the challenges expected to be faced when integrating this technology with the traditional farming practices. IoT devices and communication techniques associated with wireless sensors encountered in agriculture applications are analyzed in detail. What sensors are available for specific agriculture application, like soil preparation, crop status, irrigation, insect, and pest detection are listed. How this technology helping the growers throughout the crop stages, from sowing until harvesting, packing, and transportation is explained. Furthermore, the use of unmanned aerial vehicles for crop surveillance and other favourable applications such as optimizing crop yield is considered in this article. State-of-the-art IoT-based architectures and platforms used in agriculture are also highlighted wherever suitable. Finally, based on this thorough review, we identify current and future trends of IoT in agriculture and highlight potential research challenges.
IOT based irrigation system from Shanjedul Hassan
]]> 1468 0 https://cdn.slidesharecdn.com/ss_thumbnails/iotbasedirrigationsystem-200728232727-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Car Accident Saver /slideshow/car-accident-saver/237350203 newcaraccidentsaverper1-200728231828
This Presentation and project is created by Shanjedul Hassan Every day around the world, a large percentage of people die from traffic accident injuries. An influential indicator of survival rates after detecting the accident is the time between the occurrence of the accident and the arrival of emergency responders to the scene. Reductions in this time, in turn, may affect the numbers of fatalities, and this is achieved through using automatic traffic accident detection and notification systems which are either built-in the modern vehicles or available in the roads. This thesis highlights the state of arts for the existing automatic traffic accident detection and notification systems and reviews smartphone&#39;s interesting features that are motivated the researchers to develop smartphone based accident detection and notification systems, to provide an efficient solution in case the lack, complexity, cost, and the maintenance of other automatic accident detection systems. Most of the smartphone-based accident detection systems rely on the high speed of the vehicle (extracted from the smartphone GPS receiver) and the G-Force value (extracted from smartphone accelerometer sensor) to detect an accident. As many references assure that 90% of road- traffic accidents occur at low speed of the vehicle. Hence, in addition to the high-speed accident detection, this thesis concentrated on low speed car accident detection. The main obstacle that encounters the low speed accident is how to differentiate whether the user is inside the vehicle or outside the vehicle walking or slowly running. The effect of this obstacle is considerably minimized, in this work, by a proposed mechanism that distinguishes between the speed variation of low speed vehicle and walking or slowly running person. The proposed system consists of two phases; the detection phase which is used to detect car accident in low and high speeds. The notification phase, and immediately after an accident is indicated, is used to send detailed information such as images, video, accident location, etc. to the emergency responder for fast recovery. The system was practically tested in real simulated environment and achieved quite very good performance results.]]>
This Presentation and project is created by Shanjedul Hassan Every day around the world, a large percentage of people die from traffic accident injuries. An influential indicator of survival rates after detecting the accident is the time between the occurrence of the accident and the arrival of emergency responders to the scene. Reductions in this time, in turn, may affect the numbers of fatalities, and this is achieved through using automatic traffic accident detection and notification systems which are either built-in the modern vehicles or available in the roads. This thesis highlights the state of arts for the existing automatic traffic accident detection and notification systems and reviews smartphone&#39;s interesting features that are motivated the researchers to develop smartphone based accident detection and notification systems, to provide an efficient solution in case the lack, complexity, cost, and the maintenance of other automatic accident detection systems. Most of the smartphone-based accident detection systems rely on the high speed of the vehicle (extracted from the smartphone GPS receiver) and the G-Force value (extracted from smartphone accelerometer sensor) to detect an accident. As many references assure that 90% of road- traffic accidents occur at low speed of the vehicle. Hence, in addition to the high-speed accident detection, this thesis concentrated on low speed car accident detection. The main obstacle that encounters the low speed accident is how to differentiate whether the user is inside the vehicle or outside the vehicle walking or slowly running. The effect of this obstacle is considerably minimized, in this work, by a proposed mechanism that distinguishes between the speed variation of low speed vehicle and walking or slowly running person. The proposed system consists of two phases; the detection phase which is used to detect car accident in low and high speeds. The notification phase, and immediately after an accident is indicated, is used to send detailed information such as images, video, accident location, etc. to the emergency responder for fast recovery. The system was practically tested in real simulated environment and achieved quite very good performance results.]]> Tue, 28 Jul 2020 23:18:28 GMT /slideshow/car-accident-saver/237350203 Kandyari@slideshare.net(Kandyari) Car Accident Saver Kandyari This Presentation and project is created by Shanjedul Hassan Every day around the world, a large percentage of people die from traffic accident injuries. An influential indicator of survival rates after detecting the accident is the time between the occurrence of the accident and the arrival of emergency responders to the scene. Reductions in this time, in turn, may affect the numbers of fatalities, and this is achieved through using automatic traffic accident detection and notification systems which are either built-in the modern vehicles or available in the roads. This thesis highlights the state of arts for the existing automatic traffic accident detection and notification systems and reviews smartphone&#39;s interesting features that are motivated the researchers to develop smartphone based accident detection and notification systems, to provide an efficient solution in case the lack, complexity, cost, and the maintenance of other automatic accident detection systems. Most of the smartphone-based accident detection systems rely on the high speed of the vehicle (extracted from the smartphone GPS receiver) and the G-Force value (extracted from smartphone accelerometer sensor) to detect an accident. As many references assure that 90% of road- traffic accidents occur at low speed of the vehicle. Hence, in addition to the high-speed accident detection, this thesis concentrated on low speed car accident detection. The main obstacle that encounters the low speed accident is how to differentiate whether the user is inside the vehicle or outside the vehicle walking or slowly running. The effect of this obstacle is considerably minimized, in this work, by a proposed mechanism that distinguishes between the speed variation of low speed vehicle and walking or slowly running person. The proposed system consists of two phases; the detection phase which is used to detect car accident in low and high speeds. The notification phase, and immediately after an accident is indicated, is used to send detailed information such as images, video, accident location, etc. to the emergency responder for fast recovery. The system was practically tested in real simulated environment and achieved quite very good performance results. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/newcaraccidentsaverper1-200728231828-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> This Presentation and project is created by Shanjedul Hassan Every day around the world, a large percentage of people die from traffic accident injuries. An influential indicator of survival rates after detecting the accident is the time between the occurrence of the accident and the arrival of emergency responders to the scene. Reductions in this time, in turn, may affect the numbers of fatalities, and this is achieved through using automatic traffic accident detection and notification systems which are either built-in the modern vehicles or available in the roads. This thesis highlights the state of arts for the existing automatic traffic accident detection and notification systems and reviews smartphone&amp;#39;s interesting features that are motivated the researchers to develop smartphone based accident detection and notification systems, to provide an efficient solution in case the lack, complexity, cost, and the maintenance of other automatic accident detection systems. Most of the smartphone-based accident detection systems rely on the high speed of the vehicle (extracted from the smartphone GPS receiver) and the G-Force value (extracted from smartphone accelerometer sensor) to detect an accident. As many references assure that 90% of road- traffic accidents occur at low speed of the vehicle. Hence, in addition to the high-speed accident detection, this thesis concentrated on low speed car accident detection. The main obstacle that encounters the low speed accident is how to differentiate whether the user is inside the vehicle or outside the vehicle walking or slowly running. The effect of this obstacle is considerably minimized, in this work, by a proposed mechanism that distinguishes between the speed variation of low speed vehicle and walking or slowly running person. The proposed system consists of two phases; the detection phase which is used to detect car accident in low and high speeds. The notification phase, and immediately after an accident is indicated, is used to send detailed information such as images, video, accident location, etc. to the emergency responder for fast recovery. The system was practically tested in real simulated environment and achieved quite very good performance results.
Car Accident Saver from Shanjedul Hassan
]]> 98 0 https://cdn.slidesharecdn.com/ss_thumbnails/newcaraccidentsaverper1-200728231828-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 FM Radio presentation for ECE of PU /slideshow/fm-radio-presentation-for-ece-of-pu/132335406 fma-190219010414
FM Radio receiver BSC thesis presentation of ECE department of Presidency University Bangladesh.]]>
FM Radio receiver BSC thesis presentation of ECE department of Presidency University Bangladesh.]]> Tue, 19 Feb 2019 01:04:14 GMT /slideshow/fm-radio-presentation-for-ece-of-pu/132335406 Kandyari@slideshare.net(Kandyari) FM Radio presentation for ECE of PU Kandyari FM Radio receiver BSC thesis presentation of ECE department of Presidency University Bangladesh. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/fma-190219010414-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> FM Radio receiver BSC thesis presentation of ECE department of Presidency University Bangladesh.
FM Radio presentation for ECE of PU from Shanjedul Hassan
]]> 617 5 https://cdn.slidesharecdn.com/ss_thumbnails/fma-190219010414-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 https://cdn.slidesharecdn.com/profile-photo-Kandyari-48x48.jpg?cb=1601345772 I am a simple man................ shanjedul.blogspot.com/ https://cdn.slidesharecdn.com/ss_thumbnails/iotbasedirrigationsystem-200728232727-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/iot-based-irrigation-system/237350387 IOT based irrigation s... https://cdn.slidesharecdn.com/ss_thumbnails/newcaraccidentsaverper1-200728231828-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/car-accident-saver/237350203 Car Accident Saver https://cdn.slidesharecdn.com/ss_thumbnails/fma-190219010414-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/fm-radio-presentation-for-ece-of-pu/132335406 FM Radio presentation ...