Transfer Learning in Body Sensor Networks Using Ensembles of Randomized Trees

Transfer Learning in Body Sensor Networks Using Ensembles of Randomized Trees

BASE PAPER TITLE:

Transfer Learning in Body Sensor Networks Using Ensembles of Randomized Trees

OUR PROPOSED TITLE:

WBAN for patient health monitoring wireless sensor network using IoT

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ABSTRACT

Human Bio-signals are direct indicators of a person’s health condition. Hence, a wide variety of equipment’s are available in the market to monitor these vital bio-signals. But, almost all these equipment’s are wired and wireless increase in number of patients results in Wireless harness and additional devices and separate maintenance to be taken. This project uses anIOT devices. This project aims at constructing a biomedical signal acquisition system that captures multiple bio medical signals and transfer the data to a monitoring unit.

More complex patients to manage:

As our population ages, every provider will care for rising numbers of patients with multiple chronic conditions. Twenty-six percent of adults and 68% of Medicare beneficiaries now have multiple chronic conditions (MCC). This matters because as the number of conditions rises for any given person, their clinical outcomes—with respect to mortality, hospitalizations, readmissions, adverse drug events, quality of life, and functional status—worsen. However, to date, health systems have traditionally treated such patients condition by condition, resulting in fragmented care and patients shuffling between multiple providers. Health systems need to accelerate progress toward true patient-centered and person-centered care

PROPOSED SYSTEM:

The concept of this project has vast potential for further extensions and advancements. Real-time automated medical monitoring using IOT sensor nodes will redefine not only hospital care, but also work, home and recreational activities. In the new era of connectivity, marked by the explosive number of electronic devices and the need for smart and pervasive applications, Machine-to-Machine (M2M) communications are an emerging technology that enables the IOT device interconnection without the need of human interaction. The use of M2M technology can bring to life a wide range of Health applications, with considerable benefits for both patients and healthcare providers. Many technological challenges have to be meet, however, to ensure the widespread adoption of Health solutions in the future. In this context, we aim to provide a comprehensive survey on M2M systems for Health applications from a wireless communication perspective. An end-to-end holistic approach is adopted, focusing on different communication aspects of the M2M architecture.

What is IOT?

The Internet of Things (IoT) refers to the ever-growing network of physical objects that feature an IP address for internet connectivity, and the communication that occurs between these objects and other Internet-enabled devices and systems.

Software Tools Used:                   

  • Programming Language : Embedded C
  • Development Tool :         Arduino IDE

Hardware used:

  • AtMega328
  • Wi-Fi Module
  • Saline Water Sensor
  • Heart Beat sensor
  • LM35
  • Accelerometer

WBAN for patient health monitoring wireless sensor network using IoT

Block Diagram

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The HydroNet ASV, a Small-Sized Autonomous Catamaran for Real-Time Monitoring of Water Quality: From Design to Missions at Sea

The HydroNet ASV, a Small-Sized Autonomous Catamaran for Real-Time Monitoring of Water Quality: From Design to Missions at Sea

BASE PAPER TITLE:

The HydroNet ASV, a Small-Sized Autonomous Catamaran for Real-Time Monitoring of Water Quality: From Design to Missions at Sea

OUR PROPOSED TITLE:

RAFT FOR MONITORING SEA WATER AND OHCSAFETY SYSTEM FOR AQUATIC ANIMALUSING WIRELESS SENSOR AREA NETWORK

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ABSTRACT

In many developing countries the bulk of domestic and industrial wastewater is discharged without any treatment or after primary treatment only. To care our environment and thus by our health we should keep our water clean. Continuous water quality monitoring has traditionally been an expensive and complex process. Applications for continuous water quality monitoring include environmental assessments for natural resource industries, source drinking water protection, industrial effluents compliance, stream and habitat studies, water quality research, oil spill detection, ecosystem health, and general pollution monitoring.

What is Water pollution?

Water pollution refers to the chemical, physical, biological, and radiological characteristics of water. It is a measure of the condition of water relative to the requirements of one or more biotic species and or to any human need or purpose. It is most frequently used by reference to a set of standards against which compliance can be assessed. The most common standards used to assess water quality relate to health of ecosystems, safety of human contact and drinking water.

Oceanic heat content (OHC):

OHCis the heat stored in the ocean. Oceanography and climatology are the science branches which study ocean heat content. Changes in the ocean heat content play an important role in the sea level rise, because of thermal expansion.

Plastics in the Ocean:

Solid materials, typically waste, that has found its way to the marine environment. This is called marine debris.It is known to be the cause of injuries and deaths ofnumerous marine animals and birds, either because they become entangled in it or they mistake it for prey and eat it.There are multiple kinds of marine debris that have been found; anything from Styrofoam bags and fishing line to plastic bags and rubber. No matter what the case may be, every kind of marine debris is extremely dangerous for all marine life as it is to humans.

EXISTING SYSTEM:

The traditional method of water quality testing is to collect samples manually and then send them to laboratory for analysis. However, it has been unable to meet the demands of water quality monitoring today in time to time. For that we need to appoint staffs to follow the industrial activities which include environment parameter too and also that not good method due to the absence of reliability.

PROPOSED SYSTEM

In our system each and every individual water meter is been grouped by an individual network called Wireless Personal Area Network (WPAN). Each unit is fixed with Ph Electrodes,proximity sensor to detect plastic and temperature sensor. A group of industries are monitored, so we go for networking. If any abnormal occurs, the server unit will send the SMS to the authorized person, with details like Ph of the water.

The researchers will adapt inexpensive, sensors to withstand the aquatic environment. They are also developing and implementing new tools that ensure real-time processing of data and that make the sensors and data-processing equipment more energy efficient. “Energy efficiency is essential to making this system cost-effective,”

Working:

The system consists of multiple sensors of water testing, single-chip microcontroller data acquisition module, information transmission module, monitoring center and other accessories. Various parameters of water quality are automatically detected under the control of single chip microcontroller all day. The single chip gets the data, and then processes and analyzes them. After that, the data are instantaneously sent to monitoring center by GSM network in the form of SMS. If the water quality is abnormal, the data will be sent to monitoring center and management’s mobile in the same way at the same time. It is convenient for management to take corresponding measures timely and be able to detect real-time situation of water quality remotely. The system has realized the automation of water quality monitoring, intelligence of data analyzing and networking of information transferring. It is characterized by advantages of shortcut, accuracy and using manpower and material resources sparingly. The system has widespread application value and can be extended and transplanted to other fields of automatic monitoring where needed.

What is Ph?

In chemistry, pH is a numeric scale used to specify the acidity or alkalinity of an aqueous solution. It is the negative of the logarithm to base 10 of the activity of the hydrogen ion. Solutions with a pH less than 7 are acidic and solutions with a pH greater than 7 are alkaline or basic.

Software Libraries Used:

  • PIC18F Device Driver Library.
  • Sensors: ADC device drivers.
  • IEEE 802.15.4 Wireless Protocol Stack.
  • MRF24J40MA Microchip Wireless MiWi via SPIC protocol.

Software Tools Used:                   

  • Programming Language : Embedded C
  • Development Tool :         MPLAB IDE 8.56v
  • Compiler :         C18

Embedded Protocols Used:

  • I2C – (Inter integrated circuit ) Serial communication Protocol
  • SPI – (Serial peripheral interface) : Protocol
  • UART – (Universal Asynchronous Receiver &Transmitter) : Protocol

Hardware used:

  • Microcontroller : PIC 18f45j11.
  • MiWi Module :  Wireless Transceiver.
  • Digital Display : 16 X2 LCD.
  • Proximity Sensor : To Detect plastic.
  • Temperature Sensor : LM 35.
  • Ph Electrodes :To find Chemicals.
  • Battery :Battery 12V, 1.2Amps.
  • I/O Expander : PCF8574AP
  • Solar Panel : As Required
  • GSM MODEM : SIM 300 / SIM900.

RAFT FOR MONITORING SEA WATER AND OHC SAFETY SYSTEM FOR AQUATIC ANIMALUSING WIRELESS SENSOR AREA NETWORK

Block Diagram

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Monitoring Aquatic Debris Using Smartphone-Based Robots

Monitoring Aquatic Debris Using Smartphone-Based Robots

BASE PAPER TITLE:

Monitoring Aquatic Debris Using Smartphone-Based Robots

OUR PROPOSED TITLE:

DEBRIS AND EUTROPHICATION CONTROL FOR INDUSTRIAL ENVIRONMENTAL MONITER IN PAN TO CONTROL SHUT THE INDUSTRIES

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ABSTRACT

Pollution is the introduction of contaminants into the natural environment that cause adverse change.Pollution can take the form of chemical substances or energy, such as noise, heat or light. Pollutants. Wind-blown dust and debris, including plastic bags, are blown seaward from landfills and other areas. Discarded plastic bags and other forms of plastic waste which finish up in the ocean present dangers to wildlife and fisheries

PROPOSED SYSTEM:

All processing industries generate waste. The quantities generated and their potential impacts depend on many factors, including the level of industrial development, the way in which wastes are managed, the existing state of the local environment and the capacity of the receiving media. The gases & fumes generated in the system are effectively controlled by the Pollution control Equipment’s. The amount of Lead content emitted with these gases is being collected at every stage of pollution control equipment.

In many developing countries the bulk of domestic and industrial Co2 is emitted.  To care our environment and thus by our health we should keep our environment.The traditional method of water quality testing is to collect samples manually and then send them to laboratory for analysis. However, it has been unable to meet the demands of water quality monitoring today. For that we need to appoint staffs to follow the industrial activities and also that not good method due to the absence of reliability.

WORKING:

In our system each and every individual water meter is been grouped by an individual network called Wireless Personal Area Network (WPAN). A group of industries are monitored, so we go for networking. If any abnormal occurs, the server unit will send the SMS to the authorized person. The system consists of multiple sensors of water quality testing, single-chip microcontroller data acquisition module, information transmission module, monitoring center and other accessories. Various parameters of water quality, air quality and soil quality are automatically detected under the control of single chip microcontroller all day. The single chip gets the data, and then processes and analyzes them. It is convenient for management to take corresponding measures timely and be able to detect real-time situation of quality remotely. The system has realized the automation of quality monitoring, intelligence of data analyzing and networking of information transferring. It is characterized by advantages of shortcut, accuracy and using manpower and material resources sparingly.

What is Ph?

In chemistry, pH is a numeric scale used to specify the acidity or alkalinity of an aqueous solution. It is the negative of the logarithm to base 10 of the activity of the hydrogen ion. Solutions with a pH less than 7 are acidic and solutions with a pH greater than 7 are alkaline or basic.

Software Libraries Used:

  • PIC18F Device Driver Library.
  • Sensors: ADC device drivers.
  • IEEE 802.15.4 Wireless Protocol Stack.
  • MRF24J40MA Microchip Wireless MiWi via SPIC protocol.

Software Tools Used:                   

  • Programming Language : Embedded C
  • Development Tool :         MPLAB IDE 8.56v
  • Compiler :         C18

Embedded Protocols Used:

  • I2C – (Inter integrated circuit ) Serial communication Protocol
  • SPI – (Serial peripheral interface) : Protocol
  • UART – (Universal Asynchronous Receiver &Transmitter) : Protocol

Hardware used:

  • Microcontroller : PIC 18f45j11.
  • MiWi Module :  Wireless Transceiver.
  • Digital Display : 20X4LCD.
  • Proximity Sensor : To Detect plastic.
  • MQ2 / MQ7 : To find Co2.
  • Ph Electrodes :To find fertilizers.
  • Battery :Battery 12V, 1.2 Amps.
  • I/O Expander : PCF8574AP.
  • GSM Modem : SIM 300 / SIM900.

Debris: scattered pieces of rubbish or remains

Eutrophication: Excessive richness of nutrients in a lake or other body of water, frequently due to run-off from the land, which causes a dense growth of plant life

DEBRIS AND EUTROPHICATION CONTROL FOR INDUSTRIAL ENVIRONMENTAL MONITER IN PAN TO CONTROL SHUT THE INDUSTRIES

Block Diagram

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Indoor Positioning of a Robotic Walking Assistant for Large Public Environments

Indoor Positioning of a Robotic Walking Assistant for Large Public Environments

BASE PAPER TITLE:

Indoor Positioning of a Robotic Walking Assistant for Large Public Environments

OUR PROPOSED TITLE:

SWARM ROBOTICS: DESIGN OF MONITORING SYSTEM FOR COAL MINE SAFETY BASED ON WIRELESS SENSOR NETWORK

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ABSTRACT

The coal industry takes the issue of safety very seriously. The safety of workers should always be a primary consideration in any form of coal mining. Coal mining deep underground involves a higher safety risk than coal mined in opencast pits, due primarily to problems associated with mine ventilation and the potential for mining collapse. However, there are safety risks associated with all forms of coal mining, not least because of the heavy machinery utilized in coal excavation. Mining explosions are a particularly prevalent safety risk in underground mining. Methane released from the coal seam and surrounding rock strata during the process of mining can present a high risk of explosion at concentrations in air of 5-15%.

EXISTING SYSTEM:

Today the existing coal mine safety monitoring systems are mostly use cable network. This kind of network has poor performance of expansion. The cables are easy to aging and wear and have high incidence of failures. With the working surface expanded, a blind area for monitoring appears and then the new cost for installation and maintenance is needed. When an accident happened, especially explosion, the sensors and cables usually were damaged fatally, and couldn’t provide information for rescue search and detection events.

Wireless Sensor Network in Coalmines:

Wireless sensor network can solve the key issues of communication bandwidth, staff orientation, working surface real time monitoring, synchronization monitoring and so on. This project designs a monitoring system for coal mine safety based on MiWi Wireless Sensor network. The monitoring system collects temperature and amount of Co2 presences values underground of coal mine through MiWi Sensor nodes around the mine, and then transmits the data to information processing terminal.

Working& Proposed Module:

This piece of equipment is designed to save lives. The swarm robots is fully automated and can operate in remote areas for extended periods. “This will provide critical information about gas concentrations, ratios and flammability needed for informed decisions about when it is safe to enter the mine. In the Era of embedded technology, the MiWi protocols are used in more and more applications. Because of the rapid development of sensors, microcontrollers, and network technology, a reliable technological condition has been provided for our automatic real-time monitoring of coal mine. The application designs a monitoring system for coal mine safety based on MiWi wireless sensor network. The underground system collects temperature, humidity,and flameand Co2 values of coal mine through sensor nodes in the mine.

The terminal sends the data to the ground section through MiWi and in the ground section, the processing terminal monitors the data and sends the data to the digital display to save them and for remote users to inquire. If any data is received, the received data is compared with the predefined threshold values, if the received values are more than the threshold values then buzzer will be on.

Disadvantages:

  • Miner’s accident often happened.
  • Weak safety and legal consciousness.
  • Efficiency of rescue was low, and the effect was worse.
  • Improper information communication betweenthe ground personnel and the underground.
  • ManualMonitoring-loss of employees due to time delay. Production was reduced.
  • WiredMonitoring- needs large cabling and it is more expensive.
  • RFMonitoring-long distance is not applicable for

Advantages:

  • Established an underground safetymonitoring system with integrality.
  • Effective alert system when dangers happen.
  • Enhancesearch and rescue efficiency.
  • Manage the harm-gas concentration.
  • Access control for the works passing in and out laneway.

Enhance the mining production management level and the work safety level of the mine.

Software Libraries Used:

  • PIC18F Device Driver Library.
  • Sensors: ADC device drivers.
  • IEEE 802.15.4 Wireless Protocol Stack.
  • MRF24J40MA Microchip Wireless MiWi via SPIC protocol.

Software Tools Used:                   

  • Programming Language : Embedded C
  • Development Tool :         MPLAB IDE 8.56v
  • Compiler :         C18

Embedded Protocols Used:

  • I2C – (Inter integrated circuit ) Serial communication Protocol
  • SPI – (Serial peripheral interface).

Hardware used:

  • Microcontroller : PIC 18f45j11.
  • MiWi Module :  Wireless Transceiver.
  • Digital Display : 20X4LCD.
  • Gas sensor : MQ2.
  • Temperature Sensor : LM 35.
  • Humidity :DTH 11.
  • Buzzer : Alarm.
  • DC Gear Motor : 12v DC (30/ 100 rpm)
  • Battery :Battery 12V ,1.2 Amps
  • I/O Expander : PCF8574AP

SWARM ROBOTICS: DESIGN OF MONITORING SYSTEM FOR COAL MINE SAFETY BASED ON WIRELESS SENSOR NETWORK

Block Diagram

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Indoor Positioning of a Robotic Walking Assistant for Large Public Environments

Indoor Positioning of a Robotic Walking Assistant for Large Public Environments

BASE PAPER TITLE:

Indoor Positioning of a Robotic Walking Assistant for Large Public Environments

OUR PROPOSED TITLE:

MOTION ACTIVATED SMART ROBOTS IN CRYOGENIC CONDITIONS FOR MILITARY DATA TRANSMISSION USING ENCRYPTION ALGORITHM

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ABSTRACT

Secured robots are becoming more commonplace in the framework of military service, as well as other forces Military robots are already performing repetitive tasks like moving supplies and loading cargo, as well as particularly dangerous missions like evacuating casualties under fire, disabling explosive devices and collecting information in hostile environments. All experts agree that their utility will continue to expand at an increased pace.

     In today’s geopolitical climate, ensuring the protection of secure facilities or key locations against resourceful and determined intruders is of paramount importance to the defence of a national border as well as industries of national importance. The greatest threat to national security is “Terrorism” and it cannot be defeated by conventional military force alone.

EXISTING SYSTEM:

     In critical border areas such as Kashmir and Bangladesh, regular forces or even satellites cannot monitor these intruding terrorists as the area monitored is quite large and quite complex

PROPOSED SYSTEM:

     These sensors are mounted at the front of each SRV (swarm robots vehicles), enabling it to detect the distance between objects and change direction if they get too close to each another.Here to assist the army and security forces operating in these areas, smart dust like micro-sensors with wireless interfaces could be utilized to study and monitor these environments from a certain distance for military purposes.

Project description:

     The project aims to develop next generation wireless sensor networks for defense industry and homeland security applications..The smart dust wireless sensor mote detects and classifies into vehicles, individuals and groups. These motes have a variety of sensors i.e. vibration/seismic, magnetic, acoustic and thermal, a microcontroller for processing these sensor values and a radio transceiver for communication over a wireless network. The sensor readings are processed to classify detected target and the result is transferred to the central unit via wireless network using special protocol. A network of this type can be deployed within an area as large as 4,000m² in a few minutes by one or two men.The central monitoring node acts as the parent node in a peer to peer wireless network model.

     The dust motes communicate with central parent node using LR-WPAN. Microchip PIC microcontroller and MiWi P2P wireless protocol is used in all dust motes and they are typically battery powered. Microchip’s MRF24J40MA, the RF transceiver used in this implementation, is a 2.4 GHz wireless transceiver module which offers low-data rate, low-power consumption and has an integrated PCB antenna with matching circuitry.

Project Advantages:

  • Capable of detection, analyze and location of the intruder.
  • Very small in size.
  • Low-data rate, low-power consumption.
  • Highly security and safe.

Software Libraries Used:

  • PIC18F Device Driver Library.
  • Sensors: ADC device drivers.
  • IEEE 802.15.4 Wireless Protocol Stack.
  • MRF24J40MA Microchip Wireless MiWi via SPIC protocol.

     Software Tools Used:              

  • Programming Language : Embedded C
  • Development Tool :         MPLAB IDE 8.56v
  • Compiler :         C18

Embedded Protocols Used:

  • I2C – (Inter integrated circuit ) Serial communication Protocol
  • SPI – (Serial peripheral interface).

Hardware used:

  • Microcontroller : PIC 18f45j11.
  • MiWi Module :  Wireless Transceiver.
  • Digital Display : 20X4LCD.
  • PIR sensor : Motion.
  • Flame Sensor : LM 35.
  • Proximity sensor : To detect metal type martials.
  • DC Gear Motor : 12v DC (30/ 100 rpm)
  • Battery : Battery 12V ,1.2 Amps
  • I/O Expander : PCF8574AP

Swarm robotics:

     A new approach to the coordination of multirobot systems which consist of large numbers of mostly simple physical robots. It is supposed that a desired collective behavior emerges from the interactions between the robots and interactions of robots with the environment.

MOTION ACTIVATED SMART ROBOTS IN CRYOGENIC CONDITIONS FOR MILITARY DATA TRANSMISSION USING ENCRYPTION ALGORITHM

Blockdiagram

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Group Key Establishment for Enabling Secure Multicast Communication in Wireless Sensor Networks Deployed for IoT Applications

Group Key Establishment for Enabling Secure Multicast Communication in Wireless Sensor Networks Deployed for IoT Applications

BASE PAPER TITLE:

Group Key Establishment for Enabling Secure Multicast Communication in Wireless Sensor Networks Deployed for IoT Applications

OUR PROPOSED TITLE:

MULTI SENSOR IN LOCOMOTIVES FOR EXPLOSIVE DETECTION AND EXPLORER AVOIDER USING DE-CLAMPING USING WPAN

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ABSTRACT

Fire accident is a serious problem in our world especially the populated and illiterate region. Fire accident mainly takes place due to unknowingness of safety precautions about safe travel and also some technical consideration during travel. So the railways department should take the precautionary action to prevent the unnecessary damages and deaths

Explosive threats in train:

The Guwahati-bound train from Bangalore, Guwahati-Bangalore Express, was scheduled to arrive at Chennai around 05:30 AM IST, but it had arrived late around 07:05 AM IST. While the train was stationed at Platform 9 of the railway station, two bombs exploded at the junction of S4 and S5 coaches at 07:15 AM IST. Upon hearing the explosion, panicked passengers rushed out of the train. One of the bombs had exploded under the seat of a 24-year-old woman.

EXISTING:

In existing system, the communication between the compartments in train takes place by unreliable wired connection. Unfortunate accidents may terminate the communication by damage which leads to human’s death. And no fire safety and explosive alarm with prevention system is installed, it was done by manual. So manual is time taking and no assurance.

PROPOSED:

          In this system, for continuous communication the wireless communication has been preferred. The data’s and acknowledgement signals are handled by the RF Transceiver due to that low power consumption. Each and every compartment are networked with engine of train which acts as master node of the train and other are acts as slaves.

Working:

          When the train unit (engine and compartment motes) has been turned on they have formed a network for communication. Each compartment in train having water sprinkler and flame sensor has been placed to detect the fire and explosive detectors to fine exposes. The engine unit has a display unit and alarm too. If the sensor threshold value exceeds, then automatically the compartment unit given fire alarm and the water sprinkler system will turn on and this fire accident location is sent through wireless to the engine unit. When the engine unit receives the information, it automatically will stops the train ,which prevents further fire spreading to another compartment and saves peoples too  the alert will be given to engine unit.

At the same time the driver can know the alert and the fire can be automatically prevented. Similarly if any explosive detected in the compartment, the explosive alert alarm will sounds and alert the passengers as well as operator. The locomotive automatically stops and locate the spot of the explosive. An Auto de-clamping system also implemented to separate the compartments it is done for safer.

Software Libraries Used:

  • PIC18F Device Driver Library.
  • Sensors: ADC device drivers.
  • IEEE 802.15.4 Wireless Protocol Stack.
  • MRF24J40MA Microchip Wireless MiWi via SPIC protocol.

Software Tools Used:                   

  • Programming Language : Embedded C
  • Development Tool :         MPLAB IDE 8.56v
  • Compiler :         C18

Embedded Protocols Used:

  • I2C – Inter integrated circuit : Serial communication Protocol
  • SPI – Serial peripheral interface : Serial communication Protocol

Hardware used:

  • Microcontroller : PIC 18f45j11.
  • MiWi Module :  Wireless Transceiver.
  • Digital Display : 20X4LCD.
  • Flame sensor : Photo Diode circuit.
  • Proximity Sensor : For Explosive detection.
  • Pump : 5V Dc Pumpfor water sprinkling.
  • DC Gear Motor : 12v DC (30/ 100 rpm)
  • Battery :Battery 12V, 1.2Amp.
  • I/O Expander : PCF8574AP.
  • Buzzer : Sound Alert.

MULTI SENSOR IN LOCOMOTIVES FOR EXPLOSIVE DETECTION AND EXPLORER AVOIDER USING DE-CLAMPING USING WPAN

Block Diagram

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Global Sensor Deployment and Local Coverage-Aware Recovery Schemes for Smart Environments

Global Sensor Deployment and Local Coverage-Aware Recovery Schemes for Smart Environments

BASE PAPER TITLE:

Global Sensor Deployment and Local Coverage-Aware Recovery Schemes for Smart Environments

OUR PROPOSED TITLE:

SERS: SMART EMERGENCY RESPONSE SYSTEM SUITS WITH SEARCH-AND-RESCUE DOGS FIRST RESPONDERS USING VOIC COMMAND AND MEMS TECHNOLOGY

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ABSTRACT

At disaster sites such as building collapses, it’s common to see trained dogs being used to sniff out trapped survivors, often squeezing into areas that are inaccessible by human rescue workers. Dogs may be able to play an even bigger role, by gathering and relaying vital information on their surroundings.

EXISTING SYSTEM:

The unprecedented number of natural and human-induced disasters in the past decade has urged the emergency search and rescue community around the world to seek for newer, more effective equipment to enhance their efficiency. Search and rescue technology to-date still rely on old technologies such as search dogs, and technology that has been in service for decades.The problem with this systemis that it is difficult to follow the dog in worst case fire disasters.

Proposed System:

This project presents the design and application of a distributed wireless sensor network prototyping system for tracking mobility search and rescue human after natural disaster. Imagine a team of humans and dogs and   swooping onto the scene in the aftermath of a disaster and working together to find and rescue anyone trapped in collapsed buildings. The dogs will be equipped with passive environmental monitoring devices – such as voice command PIR to detect humans, MQ2 to detect if any gas leakage, MEMS accelerometer to detect slope of the infrastructure    cameras and gas sensors that allow the dogs to retrieve and transmit data from the field in real time.

Working:

In this project we are developing rescue dog suit which detects living human body. Here we are using PIR to detect living human body. Once the dog reaches near to the human body, the sensor present in the suit check for human alive. It also include basics like wireless cameras, toxic gas detector/ LPG detector, smoke detector and MEMS accelerometer in the system. We can control the dog from remote location using voice command and also we can know the surrounding things using wireless camera. Here we use Bluetooth for communicating between user and the dog.

Software Libraries Used:

  • Bluetooth Module: AUBTM20 via UART protocol.
  • WTV-SR Voice Recorder / Play Back Module via SPI.
  • PIC18F Device Driver Library.
  • Sensors: ADC device drivers.
  • MEMS accelerometer Via I2C  protocol

Software Tools Used:                   

  • Programming Language : Embedded C
  • Development Tool :         MPLAB IDE 8.56v
  • Compiler :         C18

Embedded Protocols Used:

  • I2C– (Inter integrated circuit ) Serial communication Protocol
  • SPI– (Serial peripheral interface).
  • UART– (Universal synchronous asynchronous receiver transmitter)

Hardware used:

  • Microcontroller :PIC 18f45j11.
  • Audio Out : Speaker.
  • Wireless : Bluetooth.
  • Gas sensor : MQ2.
  • Human Detector : PIR sensor.
  • Slope : MEMS accelerometer.
  • Voice Recorder : WTV-SR

SERS: SMART EMERGENCY RESPONSE SYSTEM SUITS WITH SEARCH-AND-RESCUE DOGS FIRST RESPONDERS USING VOIC COMMAND AND MEMS TECHNOLOGY

BLOCK DIAGRAM

15

Flood Sensing Framework by Arduino and Wireless Sensor Network in Rural-Rwanda

Flood Sensing Framework by Arduino and Wireless Sensor Network in Rural-Rwanda

BASE PAPER TITLE:

Flood Sensing Framework by Arduino and Wireless Sensor Network in Rural-Rwanda

OUR PROPOSED TITLE:

DEBRIS AND EUTROPHICATION CONTROL FOR INDUSTRIAL ENVIRONMENTAL MONITER IN PAN TO CONTROL SHUT THE INDUSTRIES

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ABSTRACT

Pollution is the introduction of contaminants into the natural environment that cause adverse change.Pollution can take the form of chemical substances or energy, such as noise, heat or light. Pollutants. Wind-blown dust and debris, including plastic bags, are blown seaward from landfills and other areas. Discarded plastic bags and other forms of plastic waste which finish up in the ocean present dangers to wildlife and fisheries

PROPOSED SYSTEM:

All processing industries generate waste. The quantities generated and their potential impacts depend on many factors, including the level of industrial development, the way in which wastes are managed, the existing state of the local environment and the capacity of the receiving media. The gases & fumes generated in the system are effectively controlled by the Pollution control Equipment’s. The amount of Lead content emitted with these gases is being collected at every stage of pollution control equipment.

In manydeveloping countries the bulk of domestic and industrial Co2 is emitted.  To care our environment and thus by our health we should keep our environment.The traditional method of water quality testing is to collect samples manually and then send them to laboratory for analysis. However, it has been unable to meet the demands of water quality monitoring today. For that we need to appoint staffs to follow the industrial activities and also that not good method due to the absence of reliability.

Working

In our system each and every individual water meter is been grouped by an individual network called Wireless Personal Area Network (WPAN). A group of industries are monitored, so we go for networking. If any abnormal occurs, the server unit will send the SMS to the authorized person. The system consists of multiple sensors of water quality testing, single-chip microcontroller data acquisition module, information transmission module, monitoring center and other accessories. Various parameters of water quality, air quality and soil quality are automatically detected under the control of single chip microcontroller all day. The single chip gets the data, and then processes and analyzes them. It is convenient for management to take corresponding measures timely and be able to detect real-time situation of quality remotely. The system has realized the automation of quality monitoring, intelligence of data analyzing and networking of information transferring. It is characterized by advantages of shortcut, accuracy and using manpower and material resources sparingly.

What is Ph?

In chemistry, pH is a numeric scale used to specify the acidity or alkalinity of an aqueous solution. It is the negative of the logarithm to base 10 of the activity of the hydrogen ion. Solutions with a pH less than 7 are acidic and solutions with a pH greater than 7 are alkaline or basic.

Software Libraries Used:

  • PIC18F Device Driver Library.
  • Sensors: ADC device drivers.
  • IEEE 802.15.4 Wireless Protocol Stack.
  • MRF24J40MA Microchip Wireless MiWi via SPIC protocol.

Software Tools Used:                   

  • Programming Language : Embedded C
  • Development Tool :         MPLAB IDE 8.56v
  • Compiler :         C18

Embedded Protocols Used:

  • I2C – (Inter integrated circuit ) Serial communication Protocol
  • SPI – (Serial peripheral interface) : Protocol
  • UART – (Universal Asynchronous Receiver &Transmitter) : Protocol

Hardware used:

  • Microcontroller : PIC 18f45j11.
  • MiWi Module :  Wireless Transceiver.
  • Digital Display : 20X4LCD.
  • Proximity Sensor : To Detect plastic.
  • MQ2 / MQ7 : To find Co2.
  • Ph Electrodes :To find fertilizers.
  • Battery :Battery 12V, 1.2 Amps.
  • I/O Expander : PCF8574AP.
  • GSM Modem : SIM 300 / SIM900.

Debris:scattered pieces of rubbish or remains

Eutrophication:Excessive richness of nutrients in a lake or other body of water, frequently due to run-off from the land, which causes a dense growth of plant life

DEBRIS AND EUTROPHICATION CONTROL FOR INDUSTRIAL ENVIRONMENTAL MONITER IN PAN TO CONTROL SHUT THE INDUSTRIES

Block Diagram

13

Assessing Agricultural Water Productivity in Desert Farming System of Saudi Arabia

Assessing Agricultural Water Productivity in Desert Farming System of Saudi Arabia

BASE PAPER TITLE:

Assessing Agricultural Water Productivity in Desert Farming System of Saudi Arabia

OUR PROPOSED TITLE:

ROBOT FARMING FOR SPREADER FERTILIZERS AND SEEDS FOR AUTOMATED IN FIELD TO IMPROVE CROP OUTPUT

8

9

ABSTRACT

Plowing, harvesting, and production of food in general has come a long way in the past few hundred years. Agricultural automation is making a major impression on how these operations function, as well as the profitability of even small- or medium-sized farms. Integrating new tools may call for more financial outlays and time spent educating personnel, but the payouts are great enough that an increasing number of businesses in the sector are seeking these services.Innovative technology is also helping to push companies in this direction. Though there are already plenty of automated farming devices, these aren’t necessarily as accessible or accurate as some farmers would prefer.

Goal:

Agriculture is one of our most important industries. It provides food, feed and fuel necessary for our survival. With the global population expected to reach 9 billion by 2050, agricultural production must double to meet the demand. And because of limited arable land, productivity must increase 25% to help meet that goal.

EXISTING SYSTEM:

Normally, farmers who grow lettuce will plant more than they initially need to make sure enough plants grow to make a harvest worthwhile. After the vegetables begin to grow, workers are then sent in to thin out any plants deemed unnecessary or that may limit the effectiveness of other plants. This is usually done using hands or hoes, and is said to be tedious and difficult.When spraying pesticides, the field workers are exposed to harmful chemicals.

PROPOSED:

The day of the itinerant farmer might just be a thing of the past, as robots will be handling the chores on commercial farms in the future. These robots will identify produce from surrounding leaves; spray periodically for insects. A system of autonomous spraying robots could reduce a farm’s use of pesticides by up to 80 percent because robots can be highly selective where they spray.Robot are also being employed on the farm to identify crop in the field well before crops show signs of infection, and thus allowing for earlier and more successful treatment. Sufficient harvest workers sometimes are in short supply at harvest time. Robots can offer a timely supply of labor at the right times in the harvesting cycle, especially in farms that are located away from population centers.

The motivation for creating a fertilizer robot is simple: Many farmers overuse fertilizer, and that’s costly and bad for the environment. But farmers don’t have many tools to help them cut back. The hope is that the Robot would in the long run save farmers money on fertilizer, he says, but it could also prevent the kind of pollution of waterways that’s rampant in the Midwest.

Software Libraries Used:

  • PIC18F Device Driver Library.
  • Sensors: ADC device drivers.
  • IEEE 802.15.4 Wireless Protocol Stack.
  • MRF24J40MA Microchip Wireless MiWi via SPIC protocol.

Software Tools Used:                   

  • Programming Language : Embedded C
  • Development Tool :         MPLAB IDE 8.56v
  • Compiler :         C18

Embedded Protocols Used:

  • I2C – (Inter integrated circuit ) Serial communication Protocol
  • SPI – (Serial peripheral interface).

Hardware used:

  • Microcontroller : PIC 18f45j11.
  • MiWi Module :  Wireless Transceiver.
  • Digital Display : 20X4LCD.
  • Gas sensor : MQ2.
  • Temperature Sensor : LM 35.
  • Ph Electrodes :To find fertilizers.
  • Pump                    : 5V Dc Pump
  • DC Gear Motor : 12v DC (30/ 100 rpm)
  • Battery :Battery 12V ,1.2Apm
  • I/O Expander : PCF8574AP
  • Solar Panel : As Required
  • ROBOT FARMING FOR SPREADER FERTILIZERS AND SEEDS FOR AUTOMATED IN FIELD TO IMPROVE CROP OUTPUT
  • Block Diagram
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Artificial Co-Drivers as a Universal Enabling Technology for Future Intelligent Vehicles and Transportation Systems

Artificial Co-Drivers as a Universal Enabling Technology for Future Intelligent Vehicles and Transportation Systems

BASE PAPER TITLE:

Artificial Co-Drivers as a Universal Enabling Technology for Future Intelligent Vehicles and Transportation Systems

OUR PROPOSED TITLE:

DRIVER SAFETY AND ASSISTANCE SYSTEM IN AUTOMOTIVE BY LOW RATE WIRELESS PERSONAL AREA NETWORK

6

DRIVER SAFETY AND ASSISTANCE SYSTEM IN AUTOMOTIVE BY LOW RATE WIRELESS PERSONAL AREA NETWORK

ABSTRACT

Vehicles have become a part of almost everyone’s life, taking people from one place to another.  In such a fast paced mode of transport, there are a variety of ways in which drivers can get distracted while driving, for example drinking, looking sideways, talking over a mobile  phone etc. Another major issue is drivers in city buses or cars who are aged above 40 are at a higher risk of heart attack or similar heart related problems. A heart attack for a city bus driver while driving is fatal not only to him but also for the passengers

This project provides an effective way to overcome these problems by not only monitoring the drivers distraction and health condition but also provides a driver assist co-pilot system that takes the vehicle’s cruise control for short durations during driver distractions or permanently during a situation like heart attack and brings the vehicle to a safe halt control systems are a comfort feature in modern high end cars that monitor the vehicles in front and maintain the driver. The co-pilot system in this project is an intelligent emergency cruise control system which actively takes control of the vehicle by monitoring the driver distraction and health condition as well.

Co-Pilot System:

This concept could be realized only by means of hybrid sensor and actuator network that has both wired and wireless nodes. IEEE 802.15.4 based wireless body area network is formed to monitor the drivers head movement via MEMS motion sensors and heart rate signals. Emergency control operates by integrating both these networks and takes decisions in real time and acts like a co-pilot of an aircraft.

Hybrid Sensor Network based Driver Assist Co-Pilot System can be implemented in all forms of vehicles where safety will be given first priority and has the potential to become a standard part of any future vehicle.

Software Libraries Used:

  • PIC18F Device Driver Library.
  • Sensors: ADC device drivers.
  • IEEE 802.15.4 Wireless Protocol Stack.
  • MRF24J40MA Microchip Wireless MiWi via SPIC protocol.

Software Tools Used:                   

  • Programming Language : Embedded C
  • Development Tool :         MPLAB IDE 8.56v
  • Compiler :         C18

Embedded Protocols Used:

  • I2C – (Inter integrated circuit ) Serial communication Protocol
  • SPI – (Serial peripheral interface) : Protocol
  • UART – (Universal Asynchronous Receiver &Transmitter) : Protocol

Hardware used:

  • Microcontroller : PIC 18f45j11.
  • MiWi Module :  Wireless Transceiver.
  • Digital Display : 20X4LCD.
  • IR Sensor : To Detect Obstacle.
  • Heart Beat Sensor : Heart Pulse.
  • MQ2 / MQ7 :To find Alcohol.
  • DC Gear Motor : 12v DC (30/ 100 rpm)
  • Battery :Battery 12V, 1.2 Amps.
  • I/O Expander : PCF8574AP
  • GSM Modem : SIM 300 / SIM 900.
  • 20X4 LCD : Display.
  • Linear POT : Accelerator pedal
  • MEMS Accelerometer: Head Moments
  • DRIVER SAFETY AND ASSISTANCE SYSTEM IN AUTOMOTIVE BY LOW RATE WIRELESS PERSONAL AREA NETWORK

    Block Diagram

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