Search

Foundations transfer the load of superstructure to the foundation soil, so the stability of a structure can be ensured by constructing foundation over good foundation soil. But due to increased developments, situations arise to construct structures on soft soil. Various methods of ground improvement techniques are adopted to construct a stable structure over soft soil. Studies show that the use of load transfer platform under structure foundation can homogenize settlement by establishing a resistant base layer. In this project compacted fiber reinforced load transfer platform (FRLTP) are used between isolated footing and foundation soil. In this study polypropylene fiber was mixed with clay, the fiber content (0%, 0.2%, 0.4%, 0.6% and 0.8% by weight of clay) in the clay was a varying parameter. The clay containing 0.4% of fiber is used as compacted FRLTP based on UCC strength. Plate load test was conducted on “Foundation soil + Compacted FRLTP” of varying thickness (0B, 0.25B, 0.5B and 1.0B, where B is the width of footing). For studying the effect of soil reinforcement in Compacted FRLTP, plate load test was conducted on “Foundation soil + Compacted Non-reinforced soil” of varying thickness (0B, 0.25B, 0.5B and 1.0B). Results show that, when Compacted FRLTP or Compacted Non-reinforced soil is used above foundation soil, the bearing capacity increases. The effect of reinforcement on soil was studied by comparing the results of plate load test of “Foundation soil + Compacted FRLTP or Compacted Non-reinforced soil”. Results show that, with the use of Compacted FRLTP instead of Compacted Non-reinforced soil above foundation soil, the bearing capacity increased by 47.2%, 39.5% and 35.3% for thickness of 0.25B, 0.5B and 1.0B respectively. By plotting a graph between percentage increase in bearing capacity versus Thickness of Compacted Non-reinforced soil or Compacted FRLTP, an optimum thickness of 0.35B is taken for both Compacted FRLTP or Compacted Non-reinforced soil above foundation soil.

The Controlled Infotainment system is based on a single board computer Raspberry Pi 3 Model B+ . This system is inspired by popular products in the market \ALEXA”, \MBUX-Mercedes Benz” and \Hyundai-TUCSON". As Infotainment system is the combination of ‘Information and ‘Entertainment, this includes voice-controlled multimedia such as online music player. In a hands-busy and eyes-busy activity such as driving, spoken language technology is an important component of the multimodal human–machine interface. Adding speech to the HMI introduces two distinct challenges: (1) accurately acquiring the user’s speech in a noisy car environment (2). Creating a spoken dialog system that does not require the driver’s full attention In order to provide security spy camera is used to capture the image of a person entering inside the car and accordingly the email will be sent to the owner of the car.

Proposed paper put light on the automation in distribution of goods by using IOT based ration distribution system which uses the biometric verification and the cloud storage technology. Proposed system looks like an Automated Teller machine (ATM). We can simplify the process by using an interactive approach. Aadhar cards contain details like contact number, residential details, details of bank account and available scheme. Details of customers are stored and maintained as the database in the cloud storage by the government. Here we are storing the customer’s data in the cloud using storage technology such as Google Firebase. This database contains the necessary information such as Aadhar details, allotted goods, bank account information, and ration card type. To carry out the transaction and the withdrawal of goods one needs the One time password (OTP) which is sent through the SMS or E-mail to notify and alert the user during the process. After entering the OTP required amount regarding grains purchased will get deducted from the linked bank account. Proposed system will help to minimize the issues like lack of rationing material which was caused due to the smuggling goods by the ration shop owner, workers and the dealers in order to gain profit. This system will be transparent and will help customers by giving smooth and automized experience of purchasing rationing. This proposed system will be the solution to One Ration One Nation.

Building architectures are growing towards increased complexity, with countless people moving through them. Not all amongst the crowd could possibly be familiar with the building to escape a fire danger zone. Even if the infrastructure complies to safety standards, decision making for fire evacuation, while ensuring safety, is utmost critical. Tailoring to these constraints, it is essential to protect lives by efficient and complete evacuation. For fire emergency, the proposed evacuation routing system is inputted by a group of wireless sensor nodes present across the considered floor plan; a MATLAB based central server to find/calculate better safe evacuation routes for the imperiled people, at a remote location in the building; a Wi-Fi based network that communicates this calculated route from the sensor network to server and server to the occupant, on evacuee’s cell phone. The information from the sensors is transmitted by a Wi-Fi network and is aggregated by the Thingspeak server. The real-time evacuation route is calculated by the server, towards the nearest and safest exit door from the occupant’s instantaneous location, by deploying A* algorithm for route optimization, along with data from sensor network that informs about origin and fire spread regarding hazard’s location. The server transmits the route information to the occupants through Wi-Fi connectivity. The endangered evacuees aretherebyenabled to view and follow this information of dynamic and real time active maps using a Smartphone. The proposed framework is prototyped and analyzed for their future inclusion into existing fire evacuation systems.

Casualties and huge losses could result from fire disasters in buildings. On the event of fires, evacuation from an isolated place of course becomes difficult and complicated due to factors such as fire spread, panic in evacuee movement and consequent congestion, failure in communication due to errors and delays, etc. This paper aims to compare competitive algorithms used for the calculation of shortest paths or the safest paths to mitigate the problem of evacuation. It also reviews corresponding evacuation models implemented in the past. By comparison with all existing methods, challenging issues are discussed, which should be met to enable basic requirements of an evacuation routing system. We conclude by underlining future directions towards enhancing the abilities for fire evacuation.