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LoRA stands for Long Range communication. Lo-RAwan is the specification used for the battery operated and wireless systems. The main aim of the LoRA is to target the Internet Of Things requirement and also Bidirectional communication. In order to prove the proof of concept, here we are creating a smart prepaid electric meter which will consist of lora module along with it. All the data related to the meters i.e voltage, energy power etc will be send to a gateway. Gateway is the central unit or router which collects all the data from all the meters and it is connected with the local storage device or PC which will create the database for all the data, Now this data is again uploaded to the cloud by this pc to the public network, which can be accessed from any of the place. The most important part of this is that this concept of communication can be extended to other application in which the data transmitted bits is less. As a result of this we can overcome the disadvantage of the 3G/4G GSM modules and low power WAN i.e. LORA can be used for communication.

LoRA stands for Long Range communication. Lo-RAwan is the specification used for the battery operated and wireless systems. The main aim of the LoRA is to target the Internet Of Things requirement and also Bidirectional communication. In order to prove the proof of concept, here we are creating a smart prepaid electric meter which will consist of lora module along with it. All the data related to the meters i.e voltage, energy power etc will be send to a gateway. Gateway is the central unit or router which collects all the data from all the meters and it is connected with the local storage device or PC which will create the database for all the data, Now this data is again uploaded to the cloud by this pc to the public network, which can be accessed from any of the place. The most important part of this is that this concept of communication can be extended to other application in which the data transmitted bits is less. As a result of this we can overcome the disadvantage of the 3G/4G GSM modules and low power WAN i.e. LORA can be used for communication.

AbstractThis paper proposes a methodology to assess the wind risk of electrical transmission towers considering the coupling of the tower with the cables and a failure mechanism based on capacity. ...

AbstractThis paper proposes a methodology to assess the wind risk of electrical transmission towers considering the coupling of the tower with the cables and a failure mechanism based on capacity. ...

This paper describes the application of IoT Technology for monitoring different parameters of battery of electric vehicle. Electric vehicle totally depends upon the source of energy from the battery. In this project, the idea of monitoring the performance of the vehicle using IoT techniques is proposed, so that monitoring can be done easily and directly. The objective of the project is to promote green power and to improve smartness of electric vehicle by monitoring the battery parameters such as voltage, temperature, current and charge avaibility. Also, these values displayed in cloud, which brings the concept of Internet of Things (IoT). The IoT based battery monitoring system consist of two major parts i) Monitoring device and ii) User interface. Based on experimental results, the system is capable to detect battery performance.

This paper describes the application of IoT Technology for monitoring different parameters of battery of electric vehicle. Electric vehicle totally depends upon the source of energy from the battery. In this project, the idea of monitoring the performance of the vehicle using IoT techniques is proposed, so that monitoring can be done easily and directly. The objective of the project is to promote green power and to improve smartness of electric vehicle by monitoring the battery parameters such as voltage, temperature, current and charge avaibility. Also, these values displayed in cloud, which brings the concept of Internet of Things (IoT). The IoT based battery monitoring system consist of two major parts i) Monitoring device and ii) User interface. Based on experimental results, the system is capable to detect battery performance.

Most of the world’s mountain glaciers have been retreating for more than a century in response to climate change. Glacier retreat is evident on all continents, and the rate of retreat has accelerated during recent decades. Accurate, spatially explicit information on the position of glacier margins over time is useful for analyzing patterns of glacier retreat and measuring reductions in glacier surface area. This information is also essential for evaluating how mountain ecosystems are evolving due to climate warming and the attendant glacier retreat. Here, we present a non-comprehensive spatially explicit dataset showing multiple positions of glacier fronts since the Little Ice Age (LIA) maxima, including many data from the pre-satellite era. The dataset is based on multiple historical archival records including topographical maps; repeated photographs, paintings, and aerial or satellite images with a supplement of geochronology; and own field data. We provide ESRI shapefiles showing 728 past positions of 94 glacier fronts from all continents, except Antarctica, covering the period between the Little Ice Age maxima and the present. On average, the time series span the past 190 years. From 2 to 46 past positions per glacier are depicted (on average: 7.8).

Most of the world’s mountain glaciers have been retreating for more than a century in response to climate change. Glacier retreat is evident on all continents, and the rate of retreat has accelerated during recent decades. Accurate, spatially explicit information on the position of glacier margins over time is useful for analyzing patterns of glacier retreat and measuring reductions in glacier surface area. This information is also essential for evaluating how mountain ecosystems are evolving due to climate warming and the attendant glacier retreat. Here, we present a non-comprehensive spatially explicit dataset showing multiple positions of glacier fronts since the Little Ice Age (LIA) maxima, including many data from the pre-satellite era. The dataset is based on multiple historical archival records including topographical maps; repeated photographs, paintings, and aerial or satellite images with a supplement of geochronology; and own field data. We provide ESRI shapefiles showing 728 past positions of 94 glacier fronts from all continents, except Antarctica, covering the period between the Little Ice Age maxima and the present. On average, the time series span the past 190 years. From 2 to 46 past positions per glacier are depicted (on average: 7.8).