Dynamic Data Driven Selection Of Sensor Streams

In order to implement the data measurement, storage, and actuation, communication paths must be set up between the sensors, actuators, processor, and storage. The communication paths use communication standards such at HTTP and Zigbee and custom protocols such as the protocol between the Gateway and Sensor Modules. The primary goal of these protocols is reliable communication. Each protocol uses acknowledgements to ensure the validity of the data. Using these protocols approximately 3.3KBytes are sent from the Sensor nodes to the Gateway per hour and approximately 1.3KBytes are sent from the Gateway and the Sensor nodes. This is a low date rate system designed to save power. Although the system network usually functions well there are noise levels with

So we will definitely need to have a base station that controls all the sensors and makes sure that it uses encryption to secure communication. We will have authentication, so that we can ensure data integrity and origin and to prevent injection of unauthorized messages. Use confidentiality, so that we can ensure secrecy of data and prevent eavesdropping. To accomplish this we are going to use Sensor-Network Encryption Protocol (SNEP) and micro Timed Efficient Stream Loss-tolerant Authentication

The Two-Tier Data Dissemination (TTDD) assumes that the sensor nodes are stationary and location aware and sinks are allowed to change their location dynamically [9]. When any change is sensed by sensors the source node will generate the reports. Then the source node chooses itself as a start crossing point and sends data to its adjacent crossing points. This is also used in which nodes are stationery for multiple mobile sinks.

In this section, we present the details of proposed protocol. Our protocol implements the idea of probabilities for cluster heads selection based on initial energy and residual energy of sensor nodes as well as the average energy of the sensor network.

The conceptual framework for the deployed system is given bellow. The framework contains one Coordinator which is connected to the control station computer through USB cable, four routers and three sensor devices. Data packets from the sensor device are transmitted to the coordinator via multi-hop routing.

TM4, the industrial partner, is a leading manufacturer and supplier of traction motors and drives for electric vehicle industry in Canada. As a drive manufacturer, they always aim to provide solution which is energy efficient with small footprint. In order to achieve this, they always look for alternative software and hardware solutions. Software modifications, which may improve the system performance in comparison to their existing drive control strategy without increasing the size of the system, are always sought after for continuous improvement of their system. In this regards, the internship is relevant to them for exploring alternative control strategies.

Final Project Proposal - ECE 110 (ABC) Lab Akashdeep Deb and Sudeep Gummadi 1 Introduction and Problem Statement Electronics is a vast field and we, as a team, have just begun exploring the plethora of tasks that can be accomplished using some very simple but powerful electronics concepts. After having learnt a lot about electronics from the ECE 110 Lab section, we have decided that our final project is going to be a robot car which will be completely autonomous and would follow a line and will stop and move, when it would hear a clap. Furthermore, for additional aesthetics and functionality, we plan to add a few more sensors - heat (IR) sensors and a few LEDs which can sense the environment temperature and display the heat index using the LEDs. For this project, we have a few challenges to overcome: 1 No flex

The goal of automated systems is to improve fuel efficiency in tractor trailers by 20 percent in real-world driving conditions through the use of platooning. (2) Platooning is the use of computers to allow tractor trailers to electronically follow each other closely creating a draft and saving on fuel costs. Which in the long haul will save companies money on shipping and the shipping costs for customers should decrease. Also “Medium- and heavy-duty trucks generate 23% of the US transportation sector's overall greenhouse gas emissions” (3) These emissions will be cut down with more effective computor controled trucks.

A linear formula idea will be used and the decision variables will be labeled as follow:

The idea to collect data from the in order to gain an insight on the way the cars were used and the performance of the different components has been facilitated by the development of Cloud computing. The marginal engineering requirements were minimal, as the cars ready had a large number of sensors collecting the relevant data sources. The on-board computers had been configured to send the information to Volvo. Once the information reaches Volvo receives the information transmitted at its data warehouse, in the same light system that receives and analyses data from other sources, including information from dealerships, customer relationship systems as

The Kalman filter requires an understanding of the processes in the system that shall be observed. Some advantages of this approach are that the method is very robust to measurement noise and does not depend on good initial conditions (after finite time the filter will converge to the correct system state) and by calculating the Kalman-gain and estimating the state-covariance a measure for the confidence in the estimate is available. The downsides of the methods are that they require some data model parameters for the specific battery. Uncertain or drifting parameters have to be accounted for or the resulting error will increase.

SilverHook Powerboats, maker of some of the world’s fastest watercrafts wanted to use this sensor data collected from racing boats to improve the decision-making abilities and safety of racers and to enhance the fan experience. The challenge for racers and observers was alike- keeping track of

In conventional control systems, control signals are sent over the loop using analog or digital technology, while in modern computer control systems, the control loop is almost entirely closed over a communication network . The Networked Control Systems (NCSs) are one type of distributed control systems in which sensors, actuators and controllers are interconnected by communication networks. The defining feature

By analyzing the AUDI S4 Sedan specifications (AUDI, 2013) and data (Top Gear, 2013) we qualify the weight and importance of customer requirements. With the customer requirements importance level defined we oversight the technical specifications and data from source (Top Gear, 2013), looking for the functions and feature that will attend the customer requirements of the AUDI S4. With the functions and features defined we post those in the technical requirements and define the relationship of the them with the customer requirements, the relation between customer requirements and technical requirements is represented by a “value” which means weight of the determined function or feature (Technical requirement) over the customer requirement. Defining the relationship of customer requirements with the functions and features we will end up with values of functions and features that will influence the system analyzed. Having costumer requirements, function and features of AUDI

An optimized input is determined by solving an open-loop optimal control problem over a finite time horizon. The number of samples one looks forward is called the prediction horizon Np. While, number of samples that the optimal input is computed for is called the control horizon Nu. The complexity of the problem can be decreased by selecting a shorter control horizon than prediction horizon. From the calculated input signal only the first element is applied to the system.