Investigation on power quality assessment in data centre
The Data Centre (DC) is used to store the database for customer’s related services like banking, IT sectors and share marketing etc. In order to accomplish the scheduled tasks and manipulate the bushiness hours effectively Data Centre (DC) needs uninterrupted power supply (UPS). The major types of equipment of DC are UPS, chiller or PAC, Precision Air Handling Unit (PAHU) or Air Handling Unit (AHU) etc. While these types of equipment come into operation they are adversely affected by power quality problem particularly from voltage sag. If the voltage magnitude during the voltage sag exceeds the low voltage tolerance limits, the sensing device in the UPS system senses the input voltage with respect to tolerance limit and it turns ON the battery mode. Under battery mode condition the Data Centre (DC) gets rated voltage continuously and work is carried out without power interruption. When the incoming supply voltage is resumed back to its rated value UPS systems turns off the battery mode and turns on the normal supply mode. This is how the Data Centre (DC) is effectively compensated by UPS. But in the case of chiller PQ problem caused by voltage sag is not compensated. If the voltage sag events continue, the under-voltage relay trips the power input and data centre equipment get to turn off. Hence the room temperatures of DC will abruptly increase and causing data center failure. In order to figure out the problems in data centre caused by power quality i.e. voltage sag, the PQ assessment was carried out at DIGSILENT power factory in Bengaluru, India connected with 11 kV Ring Main Unit (RMU) for four days between 22/9/2017 to 25/9/2017. About 36 voltage sag events and 4 interruptions were captured and the highest temperature inside the DC hall was also recorded. This paper discusses the techno-economical location for installing the DSTATCOM to enhance the power quality during voltage sag event for the data centre (DC). Dranetz Power Guide 4400 Power Quality Analyzer (PQA) has been used for PQ assessment and carried out at DIGSILENT power factory
Published by: S. Arivazhagan, P. Sivaraman
Author: S. Arivazhagan
Paper ID: V6I2-1208
Paper Status: published
Published: March 10, 2020
Analysis of relation between number of members in a family and number of vehicles per family
We investigate whether there is a direct correlation between the number of members living in one family and the number of vehicles per family (both 2 and 4 wheelers included). The analysis involves correlation regression and descriptive statistics of both the variables. The research paper also involves a graph which depicts an average number of vehicles given the number of members a family has. The analysis has been done by taking a sample of 545 families that will help us determine our objectives.
Published by: Shubh Bheda
Author: Shubh Bheda
Paper ID: V6I2-1207
Paper Status: published
Published: March 10, 2020
Age vs. Travel
We often believe that as a person grows older he/she starts losing interest in traveling out of town and going on adventurous trips due to health issues or any such reason. Hence I decided to conduct a survey to understand the relationship between the age of a person and the frequency of traveling out of town in a year with the input of 500 people.
Published by: Dishan Gosar
Author: Dishan Gosar
Paper ID: V6I2-1206
Paper Status: published
Published: March 10, 2020
Research Paper about Counter Strike Global Offensive
This research paper is about a PC competitive matchmaking game ‘Counter Strike Global Offensive’ and it shows the relation between Kills, Deaths and the network Ping. Taking into consideration all these factors, the research paper shows the impact of these factors quantified into the final score of the player, i.e, MVP or Most Valued Player. Type of data : Secondary data Independent variables : Kills, Deaths & Ping Dependent variables : MVP
Published by: Aayush Rathi
Author: Aayush Rathi
Paper ID: V6I2-1205
Paper Status: published
Published: March 10, 2020
Without human automatic car tariff collection system
RFID based Smart Toll Collection System as a solution to solve the traffic problems and also to maintain transparency of the toll collection system. This system is to make a digital toll collection system that will be less time consuming and automated. This system focuses on an electronic toll collection (ETC) system using radio frequency identification (RFID) technology. The proposed RFID system uses tags that are mounted on the windshields of vehicles, through which information embedded on the tags are read by RFID readers; this system eliminates the need for vehicle owners and toll authorities to manually perform ticket payments and toll fee collections, respectively. Data information is also easily exchanged between the vehicle owners and toll authorities, thereby enabling a more efficient toll collection by reducing traffic and eliminating possible human errors.
Published by: Atanu Wadadar, Sudip Paul
Author: Atanu Wadadar
Paper ID: V6I2-1166
Paper Status: published
Published: March 10, 2020
Research Paper about SPEcint 2006
This research paper is about CINT2006 (aka SPECint2006) and shows the relation between cores (A processor core (or simply “core”) is an individual processor within a CPU), number of chips (Computer chip, also called chip, integrated circuit or small wafer of semiconductor material embedded with integrated circuitry) and a processor’s performance. All these factors are taken into consideration and the performance of the processor or the result is measured. The higher the result, the better is the performance of the processor or, the less is the time taken to process the test programme instructions. Type of data: Secondary data Independent Variables: # Cores, # Chips, # Cores Per Chip, Processor MHz Dependent Variables: Result
Published by: Navya Maheshwari
Author: Navya Maheshwari
Paper ID: V6I2-1204
Paper Status: published
Published: March 10, 2020
