Estimation of Land Surface Temperature using LANDSAT DATA: A case study of Agra city, India
Land Surface Temperature (LST) is an important indicator for the study of climate change, urban environment, heat balance studies, hydrological and agricultural process, and urban land use and land cover as well as user input for climate models. LANDSAT data is utilized for the number of applications such as environment study, digester and resource management. This study has been made to estimate, LST using Arc GIS over Agra, India, using LANDSAT 8 and 5 satellite data. The LST has been estimated with respect to Normalized Difference Vegetation Index (NDVI) values determined from the Red and Near Infrared bands. The Land Surface Emissivity (LSE) is retrieved directly from the Thermal Infrared bands. The present study focuses on ArcGIS Raster functions and Raster calculation using the thermal band 10 and 11 of Landsat 8 satellite and thermal band 6 of Landsat 5 on the month of April. The results are feasible to calculate NDVI, LSE, and LST with appropriate accuracy. In the last drive out the temperature variance in different land use and land cover area of Agra city, India.
Published by: Dr. Vishwa Raj Sharma, Kamal Bisht
Author: Dr. Vishwa Raj Sharma
Paper ID: V5I2-1926
Paper Status: published
Published: April 26, 2019
Study on shrinkage properties of concrete with and without mineral admixtures
Structures that complied with code requirements still fail due to excessive cracking. Shrinkage is primarily responsible for such failures. Concrete shrinkage is of increasing concern when focusing on maintaining durable structures. Shrinkage in concrete can be broadly classified into two different stages, namely early age and later age. At early ages, the concrete is still moist and there are difficulties in measuring the fluid material. These difficulties have hindered comprehensive physical testing of shrinkage in plastic concrete. This project aims in evaluating the plastic shrinkage of different concrete mixes. Over time, the shrinkage induces cracking which can severely decrease concrete life expectancy. Such cracks can be mitigated by inclusion of materials such as synthetic fibers, shrinkage reducing admixtures, expansive agents and superabsorbent polymers. And the corresponding variation of compressive strength of these mixes is also studied.
Published by: John Kurian, Amrutha Sivan, Liya Mary P. L., Leanda J. Payyappilly, Elson John
Author: John Kurian
Paper ID: V5I2-2098
Paper Status: published
Published: April 26, 2019
Industrial monitoring system
In our project, we are trying to implement IoT in the manufacturing area for monitoring the industries and obtaining the crucial data that can be used to implement automated decisions using machine learning for the safety of the workers in an industry an increasing the productivity and efficiency of an Industry. Also, we will discuss some the current trends in the Industrial IoT or Industry 4.0 and see If there could be any improvement that can be done in this sector and discuss challenges we can face in implementing IoT and how can be these challenges be addressed. Industry4.0 is a name given to the current trend of automation and data exchange in manufacturing technologies. It includes cyber-physical systems, the Internet of things, cloud computing and cognitive computing. Industry 4.0 is considered as the fourth industrial revolution. All these, when implemented to a Manufacturing Industry, can improve the production system and Safety of an Industry.
Published by: Rishab Garg, Mrinal Anand, Abhishek Yadav, S. Babeetha Muruganantham
Author: Rishab Garg
Paper ID: V5I2-2093
Paper Status: published
Published: April 26, 2019
Suicide terrorism – Physical and mental destruction
Suicide terrorism is a troublesome phenomenon for all of us, the masses, to conceptualize and to entirely understand. Its very presence appears to straightforwardly negate quite a bit of what we think about fundamental human survival impulses, which obviously has consequences for the mannerisms by which we look to gauge such elusive factors as radicalization and ideological duty. Our comprehension of suicide psychological warfare can likewise shift contingent upon whether it depends on the subjective examination of specific contextual investigations, some other experimental strategy, or assaults executed by explicit gatherings or sorts of gatherings, groups, mental institutions. Terrorist activities and government responses to them portray a strong and dynamic transaction, with the moves of one side affecting those of the other. As one model, if any terrorist organization attacks and a state sends in their arms and army as the power to send a rebuffing message back, the terrorists may utilize that activity to negatively persuade the commoners or the mob, resulting in turning the mob against the state. This is seen happening on the grounds of communal bias, power trip, inhumane methods of segregation from the nation which would only conclude in angering the civilians as well. Therefore, the findings would only address the terrorist activities and neglect the other end as that is something subject to the less important part of humanity and our community. Terrorism isn't legitimately characterized in all locales; the rules that do exist, in any case, by and large offer some normal components. Terrorism or lethal acts, to be psychological or physical violence include the utilization or danger of viciousness and looks to make fear, inside the immediate exploited people as well as among a wide gathering of people. How much it depends on dread recognizes fear based oppression from both traditional and guerrilla fighting. No doubt, customary military powers perpetually participate in fighting against the foe, their key methods for triumph is quality of arms. With the end goal to draw in and keep up the exposure important to produce across the board fear, terrorists must participate in progressively emotional, vicious, and prominent assaults. These have included hijackings, hostage takings, kidnappings, vehicle bombings, and, habitually, suicide bombings. Albeit, clearly arbitrary, the people in question and areas of fear-based terrorist groups or organizations assaults frequently are precisely chosen for their stun esteem. Schools, malls, transport and train stations, and eateries and dance club have been focused on both on the grounds that they pull in substantial groups and in light of the fact that they are places with which individuals from the non-military personnel populace are commonplace and in which they feel calm. The objective of terrorism, by and large, is to obliterate general society's feeling that all is well with the world in the spots most commonplace to them. Real targets some of the time additionally incorporate structures or different areas that are vital monetary or political images, for example, government offices or army bases.
Published by: Pranshu Kabra
Author: Pranshu Kabra
Paper ID: V5I2-2121
Paper Status: published
Published: April 26, 2019
An efficient approach for sarcasm detection in tweets using polarity flip
Sentiment analysis is the qualitative method that uses natural language processing, text analysis, and computational linguistics. The goal of sentiment analysis is to determine if a specific passage in the text shows positive, negative or neutral sentiment towards the subject. Social media platforms, like Twitter, offer a wide ability that allows users to express their thoughts by employing figurative language devices such as sarcasm to achieve different communication purposes. Dealing with such kind of content represents a big challenge for computational linguistics. Due to these difficulties and the inherently tricky nature of sarcasm, it is generally ignored during social network analysis. As a result, the outcome of such analysis is affected adversely. Also, nowadays, Customers use twitter as a platform to express their emotions and opinions about social issues, products or services. Lexicon based methods of text mining can at times fail to recognize sarcasm used by customers online. This has direct implications for companies using text mining on online content to identify new customers, address customer problems, and reduce customer turn rates or for any other CRM (Customer Relationship Management) activities. Thus, sarcasm detection poses to be one of the most critical problems which we need to overcome while trying to yield high accuracy insights from abundantly available data. This work considers sarcastic tweets (including those based on products) and proposes an effective approach to detect sarcasm. The system utilizes 21 features based on context, contrast, and emotions. The results show that sarcastic tweets inclined to have more polarity flips than Non-sarcastic tweets. Also, it is found that MLP and the Random Forest classifier tend to perform better than other classifiers with an accuracy of 94%.
Published by: Karthika K.
Author: Karthika K.
Paper ID: V5I2-2114
Paper Status: published
Published: April 26, 2019
Effect of demographic variables on emotional intelligence: A study on college students in Visakhapatnam
This study is aimed to examine the effect of demographic variables (age, qualification, and community, of gender and socio-economic status) impacts on emotional intelligence among early adulthoods. A sample of 116 graduate and post graduate college students both male and female at 18-25 years age group students participated in this study. Descriptive statistics and t test findings revealed thatthis emphasizes the role of financial status and community of a person on his/her which is directly influence on the areas of Adaptability and sensitivity which are domains of emotional intelligence.
Published by: Subhashini Akurathi, P. Swathi, G. Ravi Kumar
Author: Subhashini Akurathi
Paper ID: V5I2-2107
Paper Status: published
Published: April 26, 2019
