scholarly journals INTERNET OF THINGS BASED SMART BIKE SYSTEM

2021 ◽  
Vol 9 (1) ◽  
pp. 640-644
Author(s):  
Dr. Siddhartha Choubey Et al.
Keyword(s):  
Internet Of Things ◽  
Real Time ◽  
Ignition Temperature ◽  
Road Accident ◽  
Temperature Monitoring ◽  
Sensor Data ◽  
Schematic Diagram ◽  
The Real ◽  
Travelling Time ◽  
Time Distance

Present  invention relates  to IoT  enabled  smart  bike. The  object  of  the  proposed invention  is  to  provide  a  smart  bike  which  has  many  smart  features  like  gesture controlled  horn  and  ignition,  temperature  monitoring  of  engine,  also  shows  the real  time  distance  and  time  remaining  to  arrive  the  destination.  The preferred embodiment  comprises  of  Wi-Fi  module,  ultrasonic  sensor,accelerometer  and cloud platforms for managing and processing sensor data. The Smart Bike saves the  travelling  time  and  reduces  the  possibility  of  road  accident  by  a  warning buzzer system. Following invention is described in detail with the help of Figure 1 of sheet 1 showing the schematic diagram for the proposed invention.

scholarly journals AdaGUM: An Adaptive Graph Updating Model-Based Anomaly Detection Method for Edge Computing Environment

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Xiang Yu ◽  
Chun Shan ◽  
Jilong Bian ◽  
Xianfei Yang ◽  
Ying Chen ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Anomaly Detection ◽  
Real Time ◽  
Detection Method ◽  
Edge Computing ◽  
Sensor Data ◽  
Computing Environment ◽  
The Real ◽  
Edge Node ◽  
Model Based

With the rapid development of Internet of Things (IoT), massive sensor data are being generated by the sensors deployed everywhere at an unprecedented rate. As the number of Internet of Things devices is estimated to grow to 25 billion by 2021, when facing the explicit or implicit anomalies in the real-time sensor data collected from Internet of Things devices, it is necessary to develop an effective and efficient anomaly detection method for IoT devices. Recent advances in the edge computing have significant impacts on the solution of anomaly detection in IoT. In this study, an adaptive graph updating model is first presented, based on which a novel anomaly detection method for edge computing environment is then proposed. At the cloud center, the unknown patterns are classified by a deep leaning model, based on the classification results, the feature graphs are updated periodically, and the classification results are constantly transmitted to each edge node where a cache is employed to keep the newly emerging anomalies or normal patterns temporarily until the edge node receives a newly updated feature graph. Finally, a series of comparison experiments are conducted to demonstrate the effectiveness of the proposed anomaly detection method for edge computing. And the results show that the proposed method can detect the anomalies in the real-time sensor data efficiently and accurately. More than that, the proposed method performs well when there exist newly emerging patterns, no matter they are anomalous or normal.

Disease Surveillance System for Big Climate Data Processing and Dengue Transmission

2017 ◽  
Vol 8 (2) ◽  
pp. 88-105 ◽  
Author(s):  
Gunasekaran Manogaran ◽  
Daphne Lopez
Keyword(s):  
Climate Change ◽  
Big Data ◽  
Data Processing ◽  
Real Time ◽  
Surveillance System ◽  
Disease Surveillance ◽  
Sensor Data ◽  
Climate Data ◽  
The Real ◽  
Disease Surveillance System

Ambient intelligence is an emerging platform that provides advances in sensors and sensor networks, pervasive computing, and artificial intelligence to capture the real time climate data. This result continuously generates several exabytes of unstructured sensor data and so it is often called big climate data. Nowadays, researchers are trying to use big climate data to monitor and predict the climate change and possible diseases. Traditional data processing techniques and tools are not capable of handling such huge amount of climate data. Hence, there is a need to develop advanced big data architecture for processing the real time climate data. The purpose of this paper is to propose a big data based surveillance system that analyzes spatial climate big data and performs continuous monitoring of correlation between climate change and Dengue. Proposed disease surveillance system has been implemented with the help of Apache Hadoop MapReduce and its supporting tools.

IoT Device Onboarding, Monitoring, and Management

2021 ◽  
pp. 227-255
Author(s):  
Selvaraj Kesavan ◽  
Senthilkumar J. ◽  
Suresh Y. ◽  
Mohanraj V.
Keyword(s):  
Internet Of Things ◽  
Real Time ◽  
Secure Communication ◽  
Mutual Authentication ◽  
Modern World ◽  
Cloud Platform ◽  
Privacy And Security ◽  
The Real ◽  
Healthy Environment

In establishing a healthy environment for connectivity devices, it is essential to ensure that privacy and security of connectivity devices are well protected. The modern world lives on data, information, and connectivity. Various kinds of sensors and edge devices stream large volumes of data to the cloud platform for storing, processing, and deriving insights. An internet of things (IoT) system poses certain difficulties in discretely identifying, remotely configuring, and controlling the devices, and in the safe transmission of data. Mutual authentication of devices and networks is crucial to initiate secure communication. It is important to keep the data in a secure manner during transmission and in store. Remotely operated devices help to monitor, control, and manage the IoT system efficiently. This chapter presents a review of the approaches and methodologies employed for certificate provisioning, device onboarding, monitoring, managing, and configuring of IoT systems. It also examines the real time challenges and limitations in and future scope for IoT systems.

A Discussion about FBG Sensors Application of Crane SHM System

2013 ◽  
Vol 336-338 ◽  
pp. 185-191
Author(s):  
Xiao Peng Xie ◽  
Dong Hui Wang ◽  
Guo Jian Huang ◽  
Xin Hua Wang
Keyword(s):  
Finite Element ◽  
Real Time ◽  
Failure Modes ◽  
Safety Evaluation ◽  
Structural Condition ◽  
Sensor Data ◽  
Gantry Crane ◽  
The Real ◽  
Time Stress ◽  
Fbg Sensors

The arrangement positions and the quantities are different for different types of cranes. In order to make suitable decision, much investigate and survey was done at preliminary stage, and we know that the flange connected gate legs and turntables, the connections between load-bearing beam and rotary column under the engine room and the connections between jib and turntable are easy to lose efficient, and their mainly failure modes are cracks. By the method of finite element, 32 sensors (including 21 welding strain FBG sensors and 11 temperature FBG sensors) were used after doing much investigate and survey and finite element modeling analysis, which are arranged in different places of a gantry crane of MQ2533, for real-time structure health monitoring. This method makes the sensor data obtained more realistically reflects the crane structural condition, which provides reliable data support for crane safety monitoring and safety evaluation. Then a software platform is developed to monitor the real-time stress. If the real-time stress exceeds the allowable stress, it issues an alarm signal to the operator.

Remote Update on Flash-Based Hydrologic Remote Terminal through GPRS Technology

2013 ◽  
Vol 846-847 ◽  
pp. 1711-1715 ◽  
Author(s):  
Wen Jie Ji ◽  
Xiao Qiong Li ◽  
Jing Yang Chen
Keyword(s):  
Internet Of Things ◽  
Natural Disasters ◽  
Real Time ◽  
Complex Terrain ◽  
Warning System ◽  
The Internet ◽  
The Real ◽  
Remote Terminal ◽  
Safety And Reliability ◽  
The Internet Of Things

Mountain torrent is one of major natural disasters for humans. With the development of the Internet of things, the instrumented terminals, through which the host PC could obtain the real-time water and rainfall information and could alert to a coming disaster, have been widely applied to mountain torrent warning system. In order to ensure the effectiveness of network alerting, the program in the terminals need to be updated for some specific situations, but large quantities of terminals are usually built in complex terrain and fragmented geographically, so that it is difficult and expensive to update or repair the programs. In this paper, a method of remote update, realized on the BAM-4300 hydrologic remote terminal to update the complex programs via GPRS modules, was highly reliable. Experiments show that this method is of safety and reliability, and cumbersome processes of onsite update and maintenance could be avoided.

Parking Guidance Control System Based on Internet of Things

2013 ◽  
Vol 273 ◽  
pp. 641-645 ◽  
Author(s):  
Rong Chun Sun ◽  
Yan Piao ◽  
Yu Wang ◽  
Han Wang
Keyword(s):  
Control System ◽  
Internet Of Things ◽  
Real Time ◽  
The Internet ◽  
Guidance Control ◽  
Control Center ◽  
The Real ◽  
Real Time Information ◽  
Time Information ◽  
The Internet Of Things

To help drivers to quickly find a spare parking, a parking guidance control system was proposed. The principle of ultrasonic ranging was used to detect the state of a parking space, and through the internet of things the parking detector transmits the real-time information to the control center. The control center mainly is an industrial computer and is responsible for dealing with the real-time information and sending the control command by internet of things. The guidance signs at each crossroad receive the wireless commands and execute them, by which the guidance function is performed. The internet of things was realized by ZigBee star network, in which the control center is a coordinator and other parts are routers or terminal equipments. The simulation experiment results show that the parking guidance system works well, and has the value of application and promotion to some extent.

Real-time optimization using gradient adaptive selection and classification from infrared sensors measurement for esterification oleic acid with glycerol

2017 ◽  
Vol 10 (2) ◽  
pp. 130-144 ◽  
Author(s):  
Iwan Aang Soenandi ◽  
Taufik Djatna ◽  
Ani Suryani ◽  
Irzaman Irzaman
Keyword(s):  
Real Time ◽  
Sensor Data ◽  
Necessary Condition ◽  
Support Vector ◽  
Adaptive Selection ◽  
Content Type ◽  
The Real ◽  
Time Optimization ◽  
Starting Point ◽  
Real Time Optimization

Purpose The production of glycerol derivatives by the esterification process is subject to many constraints related to the yield of the production target and the lack of process efficiency. An accurate monitoring and controlling of the process can improve production yield and efficiency. The purpose of this paper is to propose a real-time optimization (RTO) using gradient adaptive selection and classification from infrared sensor measurement to cover various disturbances and uncertainties in the reactor. Design/methodology/approach The integration of the esterification process optimization using self-optimization (SO) was developed with classification process was combined with necessary condition optimum (NCO) as gradient adaptive selection, supported with laboratory scaled medium wavelength infrared (mid-IR) sensors, and measured the proposed optimization system indicator in the batch process. Business Process Modeling and Notation (BPMN 2.0) was built to describe the tasks of SO workflow in collaboration with NCO as an abstraction for the conceptual phase. Next, Stateflow modeling was deployed to simulate the three states of gradient-based adaptive control combined with support vector machine (SVM) classification and Arduino microcontroller for implementation. Findings This new method shows that the real-time optimization responsiveness of control increased product yield up to 13 percent, lower error measurement with percentage error 1.11 percent, reduced the process duration up to 22 minutes, with an effective range of stirrer rotation set between 300 and 400 rpm and final temperature between 200 and 210°C which was more efficient, as it consumed less energy. Research limitations/implications In this research the authors just have an experiment for the esterification process using glycerol, but as a development concept of RTO, it would be possible to apply for another chemical reaction or system. Practical implications This research introduces new development of an RTO approach to optimal control and as such marks the starting point for more research of its properties. As the methodology is generic, it can be applied to different optimization problems for a batch system in chemical industries. Originality/value The paper presented is original as it presents the first application of adaptive selection based on the gradient value of mid-IR sensor data, applied to the real-time determining control state by classification with the SVM algorithm for esterification process control to increase the efficiency.

scholarly journals IoT Based Vehicle Mounted Weight Sensors

2019 ◽  
Vol 8 (4) ◽  
pp. 5686-5691
Keyword(s):  
Internet Of Things ◽  
Real Time ◽  
Central Government ◽  
Smart Sensors ◽  
Time Data ◽  
The Real ◽  
Weight Variation ◽  
Block Chain ◽  
The Government ◽  
The Internet Of Things

The as most of the goods trucks in the developing nation are overloaded with goods, and this needs to be controlled via smart way. This can be achieved using the Smart Sensors and Internet of Things (IoT), as these are the emerging technologies. In these paper we propose the weight mounted sensors can dynamical give an accurate inputs about weight variation, the advantage of this system is that any extra goods or loads cannot be added while movement of the trucks, if any extra goods are been added then it can be alerted nonstop to the government agencies on the real-time or the weight on the trucks can be monitored by the central government organization. This paper will provide an integration of smart sensors and the Internet of Things (IoT) and Block Chain integration together on one platform, we propose in this paper using the block chain technology to encrypt the real-time data to the government database and this data is securely transferred or encapsulated in the block chain as block, these data cannot be modified by the cyber attacker.

scholarly journals Implementation of IoT in Agriculture

2021 ◽  
Author(s):  
B. Mohamed Arafath Rajack ◽  
N. Subramanian ◽  
N. Arun Pragadesh ◽  
R. Suvanesh ◽  
S. Vignesh
Keyword(s):  
Internet Of Things ◽  
Real Time ◽  
Mobile Application ◽  
Raspberry Pi ◽  
Modern World ◽  
The Real ◽  
Agriculture Sector ◽  
The World ◽  
Potential Pest ◽  
World Agriculture

In this modern world agriculture is one of the major booming sectors around the world. In India around 60 percent of GDP comes from agriculture sector alone. Also, around the world there are many technologies showing up in the field of agriculture. In this paper proposed a technology by means of which potential pest attack in the crops can be detected and the respective pesticide is also sprayed as well. Along with these there is a range of sensor employed in the field connected to the controller that will take the real time values from the field and can be displayed in the respective screen (monitor or mobile screen) by means of technology called IOT (Internet of Things). Raspberry-pi is used as the controller to perform IoT. system is linked with an application called “cain” Which allows us to display various values of sensors in the monitor or in mobile application.

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