siddhanth shetty - Academia.edu (original) (raw)
Papers by siddhanth shetty
IOP Conference Series: Materials Science and Engineering, 2017
India is yet to accept semi/fully – autonomous cars and one of the reasons, was loss of control o... more India is yet to accept semi/fully – autonomous cars and one of the reasons, was loss of control on bad roads. For a better handling on these roads we require advanced braking and that can be done by adapting electronics into the conventional type of braking. In Recent years, the automation in braking system led us to various benefits like traction control system, anti-lock braking system etc. This research work describes and experiments the method for recognizing road surface profile and calculating braking distance. An ultra-sonic surface recognition sensor, mounted underneath the car will send a high frequency wave on to the road surface, which is received by a receiver with in the sensor, it calculates the time taken for the wave to rebound and thus calculates the distance from the point where sensor is mounted. A displacement graph will be plotted based on the output of the sensor. A relationship can be derived between the displacement plot and roughness index through which the friction coefficient can be derived in Matlab for continuous calculation throughout the distance travelled. Since it is a non-contact type of profiling, it is non-destructive. The friction coefficient values received in real-time is used to calculate optimum braking distance. This system, when installed on normal cars can also be used to create a database of road surfaces, especially in cities, which can be shared with other cars. This will help in navigation as well as making the cars more efficient.
Journal of e-learning and knowledge society, 2016
Big Data from innumerable sources offers immense prospects for intelligent decision making in eve... more Big Data from innumerable sources offers immense prospects for intelligent decision making in every single field, in spite of its challenging factors like huge volume, extreme variety or varying velocity. Big Data analytics can provide new perceptions from data, which would have otherwise unnoticed, while proper visualization of the data itself may result in solutions to Big Data problems through visual means by presenting the vital elements in the vast data in a human-interaction friendly format. But most of the traditional graphics and charting tools fail to draw the big picture from the big data that spans millions of records. This paper exhibits the effectiveness of visualization in exposing and communicating the essential facts in a large dataset using the two currently popular but divergent visualization tools, D3.js and Tableau, and performs a comparative analysis of the two.
A customer highly relies on reviews when buying any product online, hence playing a crucial part ... more A customer highly relies on reviews when buying any product online, hence playing a crucial part in the customer's decision-making process. With the rise of online communities and portals, millions of reviews are getting posted and determining the credibility of them with such a high volume data is difficult. Although it is essential to classify them, as it profoundly impacts the business. Due to its hidden nature, fake reviews are used by companies to increase their market strength, which is a matter of concern. Many studies have been conducted with respect to this domain, where different statistical and textual analysis was performed to identify fake and genuine reviews. In this research, we propose the use of readability tests as features in combination with other general ratings and textual features on restaurant reviews datasets from Yelp for online spam review detection. We use supervised machine learning techniques such as Naive Bayes, XGBoost, AdaBoost, and Gradient Boos...
Computers & Electrical Engineering
IOP Conference Series: Materials Science and Engineering, 2017
India is yet to accept semi/fully – autonomous cars and one of the reasons, was loss of control o... more India is yet to accept semi/fully – autonomous cars and one of the reasons, was loss of control on bad roads. For a better handling on these roads we require advanced braking and that can be done by adapting electronics into the conventional type of braking. In Recent years, the automation in braking system led us to various benefits like traction control system, anti-lock braking system etc. This research work describes and experiments the method for recognizing road surface profile and calculating braking distance. An ultra-sonic surface recognition sensor, mounted underneath the car will send a high frequency wave on to the road surface, which is received by a receiver with in the sensor, it calculates the time taken for the wave to rebound and thus calculates the distance from the point where sensor is mounted. A displacement graph will be plotted based on the output of the sensor. A relationship can be derived between the displacement plot and roughness index through which the friction coefficient can be derived in Matlab for continuous calculation throughout the distance travelled. Since it is a non-contact type of profiling, it is non-destructive. The friction coefficient values received in real-time is used to calculate optimum braking distance. This system, when installed on normal cars can also be used to create a database of road surfaces, especially in cities, which can be shared with other cars. This will help in navigation as well as making the cars more efficient.
Journal of e-learning and knowledge society, 2016
Big Data from innumerable sources offers immense prospects for intelligent decision making in eve... more Big Data from innumerable sources offers immense prospects for intelligent decision making in every single field, in spite of its challenging factors like huge volume, extreme variety or varying velocity. Big Data analytics can provide new perceptions from data, which would have otherwise unnoticed, while proper visualization of the data itself may result in solutions to Big Data problems through visual means by presenting the vital elements in the vast data in a human-interaction friendly format. But most of the traditional graphics and charting tools fail to draw the big picture from the big data that spans millions of records. This paper exhibits the effectiveness of visualization in exposing and communicating the essential facts in a large dataset using the two currently popular but divergent visualization tools, D3.js and Tableau, and performs a comparative analysis of the two.
A customer highly relies on reviews when buying any product online, hence playing a crucial part ... more A customer highly relies on reviews when buying any product online, hence playing a crucial part in the customer's decision-making process. With the rise of online communities and portals, millions of reviews are getting posted and determining the credibility of them with such a high volume data is difficult. Although it is essential to classify them, as it profoundly impacts the business. Due to its hidden nature, fake reviews are used by companies to increase their market strength, which is a matter of concern. Many studies have been conducted with respect to this domain, where different statistical and textual analysis was performed to identify fake and genuine reviews. In this research, we propose the use of readability tests as features in combination with other general ratings and textual features on restaurant reviews datasets from Yelp for online spam review detection. We use supervised machine learning techniques such as Naive Bayes, XGBoost, AdaBoost, and Gradient Boos...
Computers & Electrical Engineering