In this scenario, this customer has invested in Hadoop, in-database, and in-memory technologies to modernized their its architecture for the 21st twenty-first century.
1. The data has two paths. Depending on the type, the data can go into the enterprise data warehouse if it is structured data. If it is semi-structured data such as detectors and sensors, they go into Hadoop that acts as a data lake to collect a sample of the following sources of data:
Wayside detectors. : These sensors identify spot defect such as overheated bearings and damaged wheels, dragging hoses, deteriorating bearings, cracked wheels, and excessively high or wide load on passing rail cars.
Acoustic detector systems. : These trackside systems use "acoustic signatures" to gauge the sound and condition of internal bearings and identify those nearing breakdownfailure. They supplement or replace systems that measure the heat that bearings generate to identify those in the process of deteriorating.
Track geometry cars. : These technology-rich cars utilize sophisticated electronic and optical devices to inspect track alignment, gauge, curvature, and other track conditionsso on. A new vehicle track interaction system is also used to locate difficult-to-find track geometry defects. This information helps railroads determine when track needs maintenance.
Ground-penetrating radar. : This technology assists in identifying isolating below-ground problems—such as excessive water penetration that hampers
and what they are equipped to do. Some of these devices are able to scan and analyze , what they
SYS-002 The system shall able capable of detecting a vehicle travelling with high beams at a distance of 170 feet and send a warning signal on the control panel of vehicle.
The Ultrasonic sensor also detects potholes. If the potholes are in the range of the sensor , the pothole is detected .When the system detects potholes, the speed of the vehicle is reduced to a small extent so that the driver can negotiate the hard bumps and an image alert is displayed in the smartphone along with voice output, which means that the detection is successful. If there is no pothole ahead, there is no outcome. If there is no surface variation , there is no outcome and the detection fails.
This includes a range of echolocation clicks in the dolphin sonar system used to identify objects underwater.
As newer research began during the 1900s, the sonar started to make changes and new developments. Active sonar, provides pulses of sounds and listening for echoes. Gives warning if an object is in the path and returns an “echo” to the sonar transducer. The transducer can determine the range and orientation of the object. Passive sonar systems are used primarily to detect noise from marine objects (such as submarines or ships). Unlike active sonar, passive sonar does not emit its own signal, which is an advantage for military vessels that do not want to be found or for scientific missions that concentrate on quietly “listening” to the ocean. The purpose for both sonar’s is to detect the acoustic signals emanating from external
railroad tracks. The metal wheels of the cars roll on a flat metal strip, about 4 to 6 inches across.
What caused Ranbir concern was the lack of consensus among the various stakeholder groups in the Indian Railways about the idea of ‘tracking’ the rolling stock (freight railcars, passenger coaches, locomotives). The need to automate such tracking – especially for freight railcars6 – had been felt for almost two decades. Initially, the available technology was too expensive, and experimental in nature; however, lately, technologies had stabilized, and costs had come down. Various options had become available to automate the tracking, ranging from the use of RFID tags to the use of Global Positioning Systems (GPS)-based technology. Other available alternatives were the use of optical tracking systems using OCR, or the use of hand-held devices to manually record wagon identification data.
section of track and bridged the gap with wire to disable the electronic warning system.
This sensor finds objects using sound waves. One part of the sensor is a speaker that sends out a sound wave. These sound waves bounce off nearby objects, and a portion of them get reflected back to the sensor. The other part is a microphone that then measures how long it takes for these sound waves to come back. The longer it takes to come back, the further away the object. The speaker sends out a sound wave the sound wave forms a cone, so only objects within this cone will reflect a portion of the sound wave and be detected. Objects in the center of this cone do the best since the microphone will pick up the reflected sound wave better. It will measure the distance of the closest object. If the object absorbs sound, or if the object is to
i. These vehicles could be used to collect data for climate research, ocean exploration, offshore oil exploration and production and even surveillance of pipelines and telecommunications.
There are many types of accelerometers, which sense the motion of a mass in order to measure acceleration. There are many different ways to detect the motion.
If you’ve ever had to take your car to a repair shop because a light on the display won’t go away, the mechanics have probably used an OBD2 scanner to detect. They are designed to measure a car’s sensors and computer to determine if everything is working properly. The device gives you and your mechanic an idea if your sensors need to be replaced or if the computer is not registering the information correctly. It gives codes to let you know what the computer is telling the reader, which you can then take to a mechanic and have them look at it. Here are some OBD2 code readers that you can look into if you’re looking at solving any issues with your vehicle.
Data has always been analyzed within companies and used to help benefit the future of businesses. However, the evolution of how the data stored, combined, analyzed and used to predict the pattern and tendencies of consumers has evolved as technology has seen numerous advancements throughout the past century. In the 1900s databases began as “computer hard disks” and in 1965, after many other discoveries including voice recognition, “the US Government plans the world’s first data center to store 742 million tax returns and 175 million sets of fingerprints on magnetic tape.” The evolution of data and how it evolved into forming large databases continues in 1991 when the internet began to pop up and “digital storage became more cost effective than paper. And with the constant increase of the data supplied digitally, Hadoop was created in 2005 and from that point forward there was “14.7 Exabytes of new information are produced this year" and this number is rapidly increasing with a lot of mobile devices the people in our society have today (Marr). The evolution of the internet and then the expansion of the number of mobile devices society has access to today led data to evolve and companies now need large central Database management systems in order to run an efficient and a successful business.
As shown in figure, there are frictional losses due to the meshing of gears and misalignment of the shaft when load is exerted on the track.
In our present society, people cannot deny that the changes in this world have been tied to the advancement of the technology. It has evolved with this society so deeply where such conveniences are no longer luxuries but rather necessities. Unfortunately, the most affected group of people from the developed technology is the younger age people (Subrahmanyam, 2000). In the past, children were more lively and active: playing outdoors, running around, climbing trees and remaining active rather than watching television and playing video game and computer. It is true that the use of the technology has its own virtue. It provides value, convenience and entertainment, but it should not take the place of movement and realistic