Pub Date : 2023-02-18DOI: 10.52783/cienceng.v11i1.195
M. Sarojanamma, Manoj Kumar Ganesh
A management concept known as "Corporate Social Responsibility"(CSR) encourages corporate sector to incorporate social and environmental considerations into their activities and relationships with stakeholders. Corporate social responsibility is typically considered as the means through which a business finds a balance between its social, environmental, and economic imperatives. Corporate social responsibility is emerged as a critical component of long-term commercial success. CSR has great impact on the development of new economy. Following an amendment to the Companies Act, 2013 in April 2014, India became the first country in the world to make corporate social responsibility as mandatory. As part of any CSR compliance, companies can spend their profits in areas such as protection of environment, development of education, eradication of poverty and gender equality. The Ministry of Corporate Affairs has announced that company’s expenditures to combat the COVID-19 (Coronavirus) outbreak will be considered valid in CSR activities. Funds may be spent on COVID-19-related activities such as healthcare promotion, including preventive healthcare, sanitation, and disaster management. Amendments to the Companies (Amendment) Act, 2019 concerning CSR Previously, if a company was unable to spend its CSR funds fully each year, it could carry the amount forward and spend it in the following fiscal year, on top of the money allotted for that year. The CSR amendments to company Act, 2013 now require companies to deposit any unspent CSR funds into a fund specified in Schedule VII of the Act by the end of the fiscal year. This amount must be used within three years of the transfer date, or the fund must be deposited in one of the specified funds.
{"title":"Role of Corporate Social Responsibility in Social and Economic Development in India.","authors":"M. Sarojanamma, Manoj Kumar Ganesh","doi":"10.52783/cienceng.v11i1.195","DOIUrl":"https://doi.org/10.52783/cienceng.v11i1.195","url":null,"abstract":"A management concept known as \"Corporate Social Responsibility\"(CSR) encourages corporate sector to incorporate social and environmental considerations into their activities and relationships with stakeholders. Corporate social responsibility is typically considered as the means through which a business finds a balance between its social, environmental, and economic imperatives. Corporate social responsibility is emerged as a critical component of long-term commercial success. CSR has great impact on the development of new economy. Following an amendment to the Companies Act, 2013 in April 2014, India became the first country in the world to make corporate social responsibility as mandatory. As part of any CSR compliance, companies can spend their profits in areas such as protection of environment, development of education, eradication of poverty and gender equality. The Ministry of Corporate Affairs has announced that company’s expenditures to combat the COVID-19 (Coronavirus) outbreak will be considered valid in CSR activities. Funds may be spent on COVID-19-related activities such as healthcare promotion, including preventive healthcare, sanitation, and disaster management. Amendments to the Companies (Amendment) Act, 2019 concerning CSR Previously, if a company was unable to spend its CSR funds fully each year, it could carry the amount forward and spend it in the following fiscal year, on top of the money allotted for that year. The CSR amendments to company Act, 2013 now require companies to deposit any unspent CSR funds into a fund specified in Schedule VII of the Act by the end of the fiscal year. This amount must be used within three years of the transfer date, or the fund must be deposited in one of the specified funds.","PeriodicalId":214525,"journal":{"name":"Proceeding International Conference on Science and Engineering","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134443380","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-02-18DOI: 10.52783/cienceng.v11i1.369
Aquib Hasware, Deepali Ujalambkar
In recent years, security precautions at public events have become increasingly important as a direct response to the growth in the number of disruptive actions. There are several various varieties of closed-circuit televisions that are employed to perform 24-hour surveillance of public areas and the people that live such areas. Every person in a socialised society with a population of 1.6 billion is subjected to imprinted pictures an average of 30 times each day. Since the entire participation of the community is required to safeguard public areas from the most unexpected and lethal of events, it is difficult to discern whether an incident is an exceptional or casual occurrence because continual monitoring of human data makes it difficult to distinguish the difference. Within the scope of this study, we propose a method for identifying potentially threatening actions within footage obtained from closed-circuit television systems. To accomplish this objective, we must first extract individual still frames from the video and then examine the actions of the people seen in those still frames. We have placed a significant amount of reliance on both machine learning and deep learning algorithms to make this a reality. To automate this process, we must first develop a training model that makes use of many photos and a "Convolution Neural Network" that makes use of the Tensor Flow Python package. This model must be created before we can move on to automating the process. Every frame from every video that is provided will be used to train an algorithm that will analyse the film and evaluate whether it contains suspicious content or merely everyday activities. If we conclude that the activity was suspicious, the next phase of the study will concentrate on locating any weapons that may have been concealed on the corpse.
{"title":"Big Data Enabled Realtime Crowd Surveillance and Threat Detection Using Artificial Intelligence and Deep Learning","authors":"Aquib Hasware, Deepali Ujalambkar","doi":"10.52783/cienceng.v11i1.369","DOIUrl":"https://doi.org/10.52783/cienceng.v11i1.369","url":null,"abstract":"In recent years, security precautions at public events have become increasingly important as a direct response to the growth in the number of disruptive actions. There are several various varieties of closed-circuit televisions that are employed to perform 24-hour surveillance of public areas and the people that live such areas. Every person in a socialised society with a population of 1.6 billion is subjected to imprinted pictures an average of 30 times each day. Since the entire participation of the community is required to safeguard public areas from the most unexpected and lethal of events, it is difficult to discern whether an incident is an exceptional or casual occurrence because continual monitoring of human data makes it difficult to distinguish the difference. Within the scope of this study, we propose a method for identifying potentially threatening actions within footage obtained from closed-circuit television systems. To accomplish this objective, we must first extract individual still frames from the video and then examine the actions of the people seen in those still frames. We have placed a significant amount of reliance on both machine learning and deep learning algorithms to make this a reality. To automate this process, we must first develop a training model that makes use of many photos and a \"Convolution Neural Network\" that makes use of the Tensor Flow Python package. This model must be created before we can move on to automating the process. Every frame from every video that is provided will be used to train an algorithm that will analyse the film and evaluate whether it contains suspicious content or merely everyday activities. If we conclude that the activity was suspicious, the next phase of the study will concentrate on locating any weapons that may have been concealed on the corpse.","PeriodicalId":214525,"journal":{"name":"Proceeding International Conference on Science and Engineering","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122180477","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-02-18DOI: 10.52783/cienceng.v11i1.376
Sakshi G. Gade, Shabnam F. Sayyad
ML and ARIMA-based stock market forecasting. Brokers, derivatives, currencies, and stocks are used in the vast and convoluted structure of the financial markets, which is always changing and evolving. Compared to the hazards of beginning a new business or the requirement for a high-paying employment, this market provides investors the potential to make money and live a happy life with a minimal initial investment. However, assessing and managing the performance of machine learning requires human-assessed risk management procedures and security precautions. For this research, it is important to predict stock prices using ARIMA and machine learning techniques. With the aid of machine learning and the ARIMA model, stock values may be forecasted with simplicity. This includes a range of work that was done on the review paper using different learning techniques. The most notable features are ARIMA and the built-in machine learning. Oblivion Gate removes data that doesn't match the algorithm, leaving only data that does. As soon as information enters the network, rules enable selection. Three gate structures combine to produce a single network structure.
{"title":"Enhancing Stock Market Prediction with ARIMA and Machine Learning","authors":"Sakshi G. Gade, Shabnam F. Sayyad","doi":"10.52783/cienceng.v11i1.376","DOIUrl":"https://doi.org/10.52783/cienceng.v11i1.376","url":null,"abstract":"ML and ARIMA-based stock market forecasting. Brokers, derivatives, currencies, and stocks are used in the vast and convoluted structure of the financial markets, which is always changing and evolving. Compared to the hazards of beginning a new business or the requirement for a high-paying employment, this market provides investors the potential to make money and live a happy life with a minimal initial investment. However, assessing and managing the performance of machine learning requires human-assessed risk management procedures and security precautions. For this research, it is important to predict stock prices using ARIMA and machine learning techniques. With the aid of machine learning and the ARIMA model, stock values may be forecasted with simplicity. This includes a range of work that was done on the review paper using different learning techniques. The most notable features are ARIMA and the built-in machine learning. Oblivion Gate removes data that doesn't match the algorithm, leaving only data that does. As soon as information enters the network, rules enable selection. Three gate structures combine to produce a single network structure.","PeriodicalId":214525,"journal":{"name":"Proceeding International Conference on Science and Engineering","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123187911","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-02-18DOI: 10.52783/cienceng.v11i1.308
Vagdevi H. S.
Until 2010 when Netflix became a reality no one imagined that a DVD rental company would change the entire consumption pattern upside down (Shantharaju S & Vagdevi H S, 2021). The culture it created prompted many to follow the suit including Disney Plus (Disney +), e-commerce tycoon Amazon (Prime), homegrown Alt Balaji, and others. Over-The-Top (OTT) platforms offer everything from the Latin American Narco-history with an addictive dramatic plot, series of belongingness with subjects dealing with nationalism & patriotism, content on sex & lust, to the nauseating portrayal of chauvinism weave an everlasting TV series. Probably, without the infrastructure and user interface, OTT platforms wouldn't have been so popular (Michael Samuel, 2017). With the diverse content and available and affordable technology, thanks to the pandemic there have been a skyrocketing growth of OTT subscribers from 32 million in 2019 to 62 million in 2020 (exchange4media,2020), and still growing strong. The lockdown saw a clear shift from traditional media to OTT platforms (Gupta & Singharia, 2021). Today, India has 40 OTT platforms, and it is one of the fastest-growing OTT markets (PwC Report,2020). With government push to digitization coupled with cheap mobile data, increasing mobile population and most importantly rural penetration of the internet (business insider report, 2021) has all influenced the growth of OTT platforms as well. With two OTT providers in 2012 to 40 plus as of today, the OTT revolution has come a long way in India (NASSCOM, 2020). The induced growth of OTT due to the pandemic has also led to questions on the content that is been viewed on these platforms. A conflict that questions, the content vis-à-vis the crass outright representation of the subjects and their influence. According to industry reports in 2021, students have made the biggest contributions to OTT consumption. It is necessary to understand how these content influences aspects of the individual. Many recent studies (Gupta & Singharia, 2021; Nijahwan & Dahiya, 2021) concentrate the research on emerging consumer consumption patterns and changing behavior and habits. The current research is an empirical study on the growing influence of content among college students in the Mysuru region. The study analyses the psychographic influence of content consumption using a structured questionnaire.
{"title":"Content Consumption in Streaming Frenzy Milieu: An Analysis Among College Students in Mysuru","authors":"Vagdevi H. S.","doi":"10.52783/cienceng.v11i1.308","DOIUrl":"https://doi.org/10.52783/cienceng.v11i1.308","url":null,"abstract":"Until 2010 when Netflix became a reality no one imagined that a DVD rental company would change the entire consumption pattern upside down (Shantharaju S & Vagdevi H S, 2021). The culture it created prompted many to follow the suit including Disney Plus (Disney +), e-commerce tycoon Amazon (Prime), homegrown Alt Balaji, and others. Over-The-Top (OTT) platforms offer everything from the Latin American Narco-history with an addictive dramatic plot, series of belongingness with subjects dealing with nationalism & patriotism, content on sex & lust, to the nauseating portrayal of chauvinism weave an everlasting TV series. Probably, without the infrastructure and user interface, OTT platforms wouldn't have been so popular (Michael Samuel, 2017). With the diverse content and available and affordable technology, thanks to the pandemic there have been a skyrocketing growth of OTT subscribers from 32 million in 2019 to 62 million in 2020 (exchange4media,2020), and still growing strong. The lockdown saw a clear shift from traditional media to OTT platforms (Gupta & Singharia, 2021). Today, India has 40 OTT platforms, and it is one of the fastest-growing OTT markets (PwC Report,2020). With government push to digitization coupled with cheap mobile data, increasing mobile population and most importantly rural penetration of the internet (business insider report, 2021) has all influenced the growth of OTT platforms as well. With two OTT providers in 2012 to 40 plus as of today, the OTT revolution has come a long way in India (NASSCOM, 2020). The induced growth of OTT due to the pandemic has also led to questions on the content that is been viewed on these platforms. A conflict that questions, the content vis-à-vis the crass outright representation of the subjects and their influence. According to industry reports in 2021, students have made the biggest contributions to OTT consumption. It is necessary to understand how these content influences aspects of the individual. Many recent studies (Gupta & Singharia, 2021; Nijahwan & Dahiya, 2021) concentrate the research on emerging consumer consumption patterns and changing behavior and habits. The current research is an empirical study on the growing influence of content among college students in the Mysuru region. The study analyses the psychographic influence of content consumption using a structured questionnaire.","PeriodicalId":214525,"journal":{"name":"Proceeding International Conference on Science and Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134280843","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-02-18DOI: 10.52783/cienceng.v11i1.309
Yashoda L., Babitha B. S., Vaibhavi J.
The Indian cinema industry happens to be biggest producer of films in a variety of languages that entertain millions of audiences across the globe. It has shown an impeccable record of recognition and quality entertainment that is being delivered for decades and is now a cultural element that is embed within the country’s heritage and pride. Although, the year 2020 put a striking hit on this industry’s golden era of rejoicing it’s religious followers with a global pandemic that is caused by a respiratory virus called as the Corona 2 (SARS-CoV-2). This virus had not only impacted the overall wellbeing of the populace but also has disrupted economies and industries. One such devastated industry happens to be the Indian cinema industry that has faced massive downfall on its overall growth due to the lockdown shutting down theatres causing millions of workers from this industry to lose their livelihoods. Although, one industry in specific that is the OTT industry bloomed and took over the opportunity of self-isolation and rose to show it’s true potential in the Indian market which has indeed stuck and taken over the true essence of Indian cinema by affecting the number of theatre-going audiences even today. This empirical paper examines this very thought and highlights the understanding of how the global Covid-19 pandemic has changed the Indian cinema industry and the studies the mindset of Indian audiences to see if the culture of visiting the theatres still exist as the OTT platform is on its exponential rise. The study uses a descriptive analysis tool in order to analyses and identify patterns to categories the data collection process and provide conclusions and recommendations on the effects the OTT platforms has on the Indian cinema industry as the collective OTT viewership rises.
{"title":"The Effect of Covid-19 Pandemic on Indian Cinema: The Rise of OTT Viewership","authors":"Yashoda L., Babitha B. S., Vaibhavi J.","doi":"10.52783/cienceng.v11i1.309","DOIUrl":"https://doi.org/10.52783/cienceng.v11i1.309","url":null,"abstract":"The Indian cinema industry happens to be biggest producer of films in a variety of languages that entertain millions of audiences across the globe. It has shown an impeccable record of recognition and quality entertainment that is being delivered for decades and is now a cultural element that is embed within the country’s heritage and pride. Although, the year 2020 put a striking hit on this industry’s golden era of rejoicing it’s religious followers with a global pandemic that is caused by a respiratory virus called as the Corona 2 (SARS-CoV-2). This virus had not only impacted the overall wellbeing of the populace but also has disrupted economies and industries. One such devastated industry happens to be the Indian cinema industry that has faced massive downfall on its overall growth due to the lockdown shutting down theatres causing millions of workers from this industry to lose their livelihoods. Although, one industry in specific that is the OTT industry bloomed and took over the opportunity of self-isolation and rose to show it’s true potential in the Indian market which has indeed stuck and taken over the true essence of Indian cinema by affecting the number of theatre-going audiences even today. This empirical paper examines this very thought and highlights the understanding of how the global Covid-19 pandemic has changed the Indian cinema industry and the studies the mindset of Indian audiences to see if the culture of visiting the theatres still exist as the OTT platform is on its exponential rise. The study uses a descriptive analysis tool in order to analyses and identify patterns to categories the data collection process and provide conclusions and recommendations on the effects the OTT platforms has on the Indian cinema industry as the collective OTT viewership rises.","PeriodicalId":214525,"journal":{"name":"Proceeding International Conference on Science and Engineering","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131570997","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-02-18DOI: 10.52783/cienceng.v11i1.373
Mirza Nemath Ali Baig, Ayaaz Khan, MD. Salauddin, Mohd Zubair Khan
The project "Crop Water Requirement Prediction in Automated Drip Irrigation System using IoT" aims to develop a system that optimizes water usage in agricultural irrigation by predicting crop water requirements. By employing IoT devices, sensors, and data analytics techniques, the system aims to enhance water efficiency, reduce water waste, and improve crop yield.The system utilizes soil moisture sensors to measure real-time soil moisture levels and collects weather data from external sources. These inputs are processed and analyzed using data analytics techniques to predict crop water requirements based on specific crop information and growth stages. An automated drip irrigation system, controlled by IoT devices, delivers water directly to the plant's root zones based on the predicted water requirements.The project's objectives include evaluating the accuracy of crop water requirement predictions, assessing water savings achieved compared to traditional irrigation methods, and monitoring crop health and yield. The collected data is analyzed to gain insights into irrigation strategies, weather conditions, and resource optimization. The user interface provides a convenient way for farmers to monitor and control the system, ensuring an asvaluable tool for enhancing driver safety.
{"title":"Crop Water Requirement Predication in Automated Drip Irrigation System Using IoT","authors":"Mirza Nemath Ali Baig, Ayaaz Khan, MD. Salauddin, Mohd Zubair Khan","doi":"10.52783/cienceng.v11i1.373","DOIUrl":"https://doi.org/10.52783/cienceng.v11i1.373","url":null,"abstract":" The project \"Crop Water Requirement Prediction in Automated Drip Irrigation System using IoT\" aims to develop a system that optimizes water usage in agricultural irrigation by predicting crop water requirements. By employing IoT devices, sensors, and data analytics techniques, the system aims to enhance water efficiency, reduce water waste, and improve crop yield.The system utilizes soil moisture sensors to measure real-time soil moisture levels and collects weather data from external sources. These inputs are processed and analyzed using data analytics techniques to predict crop water requirements based on specific crop information and growth stages. An automated drip irrigation system, controlled by IoT devices, delivers water directly to the plant's root zones based on the predicted water requirements.The project's objectives include evaluating the accuracy of crop water requirement predictions, assessing water savings achieved compared to traditional irrigation methods, and monitoring crop health and yield. The collected data is analyzed to gain insights into irrigation strategies, weather conditions, and resource optimization. The user interface provides a convenient way for farmers to monitor and control the system, ensuring an asvaluable tool for enhancing driver safety.","PeriodicalId":214525,"journal":{"name":"Proceeding International Conference on Science and Engineering","volume":"79 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121914273","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-02-18DOI: 10.52783/cienceng.v11i1.302
Shyamali Banerjee
The term 'public service advertising', although familiar to all of us, has never been exposed to critical analysis in India till 2000 onwards as the growing popularity and inescapability of media messages through advertising has reached to a crescendo during the times of a transition from one-dimensional print media to digital media. And in this process of change-over, the intent of 'public service' which means to mobilize the public to take action for a common goal or objective, has got affected. Public service advertising with all ennobled and embellished connotations, catalyzing social change or transformation is nothing new. However, the problem arises when under the garb of 'public service' the centers of power, media elites or communication strategists, try to propagate their own world views through constantly bombarded different social media platforms, the grey areas of borderline between public service or public good and personal interest and personal benefit get obliterated. This research study will try to highlight the issues of propagandist intent of public service advertising and how the ideals of social change or social development through development communication strategies is taking a drastic turn towards forging a mass consensus on false assertion and fake identity. The article has used quantitative analysis methodology to analyze the various understanding of the concept of 'public service advertising' and for that matter, social media platforms like YouTube, Instagram are used as its variables for analysis. The sample size used for this study is 150 respondents. The study has concluded from the detailed analysis that the alarming scenario of diluting the phenomena of 'public good or public service' has created a huge propensity towards creating a hegemony, ie, self-glorification or self propaganda and the 'social development' intent of the social messages or public service messages is getting diluted because of the growth of strategic communication interfaces or equipped professional elites working as political actors.
{"title":"The Impact of Public Service Advertising: Social Development or Social Change through Development Communication: Strategic Communication through Corporate Lobbying: An Analysis of the Changing Dynamics from Print to Digital Media","authors":"Shyamali Banerjee","doi":"10.52783/cienceng.v11i1.302","DOIUrl":"https://doi.org/10.52783/cienceng.v11i1.302","url":null,"abstract":"The term 'public service advertising', although familiar to all of us, has never been exposed to critical analysis in India till 2000 onwards as the growing popularity and inescapability of media messages through advertising has reached to a crescendo during the times of a transition from one-dimensional print media to digital media. And in this process of change-over, the intent of 'public service' which means to mobilize the public to take action for a common goal or objective, has got affected. Public service advertising with all ennobled and embellished connotations, catalyzing social change or transformation is nothing new. However, the problem arises when under the garb of 'public service' the centers of power, media elites or communication strategists, try to propagate their own world views through constantly bombarded different social media platforms, the grey areas of borderline between public service or public good and personal interest and personal benefit get obliterated. This research study will try to highlight the issues of propagandist intent of public service advertising and how the ideals of social change or social development through development communication strategies is taking a drastic turn towards forging a mass consensus on false assertion and fake identity. The article has used quantitative analysis methodology to analyze the various understanding of the concept of 'public service advertising' and for that matter, social media platforms like YouTube, Instagram are used as its variables for analysis. The sample size used for this study is 150 respondents. The study has concluded from the detailed analysis that the alarming scenario of diluting the phenomena of 'public good or public service' has created a huge propensity towards creating a hegemony, ie, self-glorification or self propaganda and the 'social development' intent of the social messages or public service messages is getting diluted because of the growth of strategic communication interfaces or equipped professional elites working as political actors.","PeriodicalId":214525,"journal":{"name":"Proceeding International Conference on Science and Engineering","volume":"154 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116871507","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-02-18DOI: 10.52783/cienceng.v11i1.307
Tanmay Samanta, Sayak Pal, Arnab Basu
Both Social Progress Index (SPI) and Sustainable Development Goals (SDGs) have given importance to gender equality and inclusiveness in their agendas as it is considered one of the primordial struggles essential to bring balance to the social sphere. On the other hand, advertising has been one of the primary modes of transforming and transporting these messages to the audiences seeded across the furthest corners of the remotest locations. While in the beginning, advertisements were used to serve simple requirements of sharing information among multiple receivers, over the hundreds of years of socioeconomic, cultural, political, and economic changes, made it complicated. Among many roles that an advertisement plays as a non-personal mode of communication, bringing social changes is one of them that has the power even to form values and opinions and sometimes brings phenomenal changes into behavior. The commercial form of advertainments is often found in favor of such portals that discreetly britches a few fundamental values and ethics set by the governing bodies and may lead to spreading misinformation and misconceptions. Similarly, women have been subjectified in advertisements from the very beginning with different objectives, however, for this research, the portrayals of women in commercial advertisements have broadly segregated into conventional and non-conventional categories. To analyze the distinctive differences between the two categories, the advertisements from 2015 to 2022 have been considered as the SDGs enacted by the United Nations with a prominent goal ’gender equality’ aims to bring down the conventional categorization and portrayals of gender in all forms.
{"title":"Portrayals of Women in Commercial Advertising: A Comparative Study Based on Contemporary Advertisements","authors":"Tanmay Samanta, Sayak Pal, Arnab Basu","doi":"10.52783/cienceng.v11i1.307","DOIUrl":"https://doi.org/10.52783/cienceng.v11i1.307","url":null,"abstract":"Both Social Progress Index (SPI) and Sustainable Development Goals (SDGs) have given importance to gender equality and inclusiveness in their agendas as it is considered one of the primordial struggles essential to bring balance to the social sphere. On the other hand, advertising has been one of the primary modes of transforming and transporting these messages to the audiences seeded across the furthest corners of the remotest locations. While in the beginning, advertisements were used to serve simple requirements of sharing information among multiple receivers, over the hundreds of years of socioeconomic, cultural, political, and economic changes, made it complicated. Among many roles that an advertisement plays as a non-personal mode of communication, bringing social changes is one of them that has the power even to form values and opinions and sometimes brings phenomenal changes into behavior. The commercial form of advertainments is often found in favor of such portals that discreetly britches a few fundamental values and ethics set by the governing bodies and may lead to spreading misinformation and misconceptions. Similarly, women have been subjectified in advertisements from the very beginning with different objectives, however, for this research, the portrayals of women in commercial advertisements have broadly segregated into conventional and non-conventional categories. To analyze the distinctive differences between the two categories, the advertisements from 2015 to 2022 have been considered as the SDGs enacted by the United Nations with a prominent goal ’gender equality’ aims to bring down the conventional categorization and portrayals of gender in all forms.","PeriodicalId":214525,"journal":{"name":"Proceeding International Conference on Science and Engineering","volume":"142 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115592117","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-02-18DOI: 10.52783/cienceng.v11i1.276
Mohmadishak Sheikh, Chetan Sheth
State estimation is an essential part of every energy control management system. Accurate estimation of state or operating state is essential for security control and monitoring of power systems. Power system state estimation is a procedure to estimate true state from the inexact state of a power system. The conventional state estimator provides estimates of the power system states, i.e., bus voltages and angles which is obtained. State estimation is a computational technique for electrical power system. It empowers the calculation of the power flows of the electrical power system which are not observed or not directly measured. State estimation is a computer program that detects, isolate and eliminate the incorrect or bad measurement data and estimates the accurate state. The magnitudes of bus voltage and phase angle are the states variables for an electrical power system. This paper outlines Weighted Least Square (WLS) estimation techniques and simulated estimation for standard IEEE systems.
{"title":"System State Estimation Using Weighted Least Square Method","authors":"Mohmadishak Sheikh, Chetan Sheth","doi":"10.52783/cienceng.v11i1.276","DOIUrl":"https://doi.org/10.52783/cienceng.v11i1.276","url":null,"abstract":"State estimation is an essential part of every energy control management system. Accurate estimation of state or operating state is essential for security control and monitoring of power systems. Power system state estimation is a procedure to estimate true state from the inexact state of a power system. The conventional state estimator provides estimates of the power system states, i.e., bus voltages and angles which is obtained. State estimation is a computational technique for electrical power system. It empowers the calculation of the power flows of the electrical power system which are not observed or not directly measured. State estimation is a computer program that detects, isolate and eliminate the incorrect or bad measurement data and estimates the accurate state. The magnitudes of bus voltage and phase angle are the states variables for an electrical power system. This paper outlines Weighted Least Square (WLS) estimation techniques and simulated estimation for standard IEEE systems.","PeriodicalId":214525,"journal":{"name":"Proceeding International Conference on Science and Engineering","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116796015","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-02-18DOI: 10.52783/cienceng.v11i1.72
Sushmita Rajwar
The Indian Diaspora in South Africa is not a monolithic identity and belongs to different parts and states of India. Each of them speaks a different language, has a unique culture and follows different traditions amongst themselves. In order to preserve and protect this culture especially during the colonial rule in South Africa, many of the Indian Diaspora Associations were formed. These Associations have a long history in promoting the unity amongst their specific communities through promotion of their languages, culture, festivals, practices, food etc. In a way this has provided the Indian Diaspora a unique identity within the larger context of the Indian Diaspora. The various associations and their work has proved to be beneficial in times of emergency and in promoting the interests and concerns of the Indian Diaspora in the global context.
{"title":"Role of Indian Diasporic Associations in Promoting Indian Diasporic Identity in South Africa","authors":"Sushmita Rajwar","doi":"10.52783/cienceng.v11i1.72","DOIUrl":"https://doi.org/10.52783/cienceng.v11i1.72","url":null,"abstract":"The Indian Diaspora in South Africa is not a monolithic identity and belongs to different parts and states of India. Each of them speaks a different language, has a unique culture and follows different traditions amongst themselves. In order to preserve and protect this culture especially during the colonial rule in South Africa, many of the Indian Diaspora Associations were formed. These Associations have a long history in promoting the unity amongst their specific communities through promotion of their languages, culture, festivals, practices, food etc. In a way this has provided the Indian Diaspora a unique identity within the larger context of the Indian Diaspora. The various associations and their work has proved to be beneficial in times of emergency and in promoting the interests and concerns of the Indian Diaspora in the global context.","PeriodicalId":214525,"journal":{"name":"Proceeding International Conference on Science and Engineering","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115112895","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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