SPAST Abstracts <p><strong>SPAST Abstracts </strong>publishes the extended abstracts of the papers presented in the First International Conference on Technologies for Smart Green Connected Society 2021</p> <p><strong>SPAST Abstracts </strong>are open access and provide the audience with the insights into the latest research trends in the field.</p> <p><strong>SPAST Abstracts </strong>is the part of the SPAST Open Access Research series and is google scholar indexed.</p> <p> </p> en-US (Office-SPAST) (Support) Sun, 18 Jul 2021 00:00:00 +0100 OJS 60 A Readily deployable Smart Residential PET recycling and shredded flakes collector bin <p>It is difficult to collect recycled plastic as vendors were not under one umbrella. The rate of recycling regular household PET (Polyethylene Terephthalate) is quite low in India. With this product, we like to solve this problem and monetize plastic recycling for communities and families. This product will have three components, a depositor bin where a person will deposit one or more pet bottles with will be collected in a basket, a robotic arm that would remove PVC labels, and any rings. These items are then passed through a set of rotating blades to cut into small plastic pallets, which are collected in a bin. These bins are regularly weighed through sensors and the data with occupancy rates are stored in an internal database. When the weight reaches a critical point our collection agent and the respective households will be informed through our mobile application. Also, a schedule for the collection of plastic flakes and a new collector bin will be installed will be communicated.&nbsp; Then the bins are collected and transported to a sorting location, as the filled collector bins are reached to the sorting location, a pre-determined amount will be deposited into a wallet registered by the household. We will then sort the pellets into different categories, supply them to our network of recycling organizations that convert these flakes to a finished product like plastic tiles, roofs, and street vendor sheds. We also plan to use these pellets in manufacturing our electronic products to achieve our organization's goal of incorporating recycled plastic and eco-friendly materials without compromising product functionality. These smart collector bins, robotic arms, and crushing blades are operated using solar-powered li-ion batteries. So, they can be placed either on rooftops or in play areas within a household. They can also be installed on any street corners.</p> <p>Around 22 billion PET bottles end up in landfills globally every year, In India, according to a survey 90% of PET bottles end up recycled, 65% are recycled at registered facilities, 15% in the unorganized sector, and 10% is reused at homes<sup>1</sup>. With our product in every household and community, we can achieve 99% recycling of PET within registered facilities. We produce 700000 tons of plastic waste annually with Mumbai accounting for 7500 tons of it. The PET recycling business has a turnover of Rs3,500 crore each year<sup>1</sup>, the end products sell at anywhere between Rs50-110 per kg<sup>1</sup>. We believe that our product can increase the above turnover twice if we can tap into agreements with most communities in a few dozen major cities across India. The cost to manufacture the product can be recouped within six to eight months with the collector bins capacity of 12kgs. We need to understand our social responsibility to make our planet net plastic-free, as achieving zero plastic is an improbable goal.</p> prajwal maredukonda Copyright (c) 2021 prajwal maredukonda Sun, 18 Jul 2021 00:00:00 +0100 DIGITAL AND INNOVATIVE EDUCATION DURING THE COVID-19 PANDEMIC: UZBEKISTAN <p><strong>Abstract</strong> The pandemic has become a unique test of the power of international cooperation, manifested not only in the exchange of experience on epidemiological and organizational issues, but also in mutual financial, economic and food assistance among the population. In this regard, it has become clear in Uzbekistan that it is difficult to fully ensure national security, especially human security, by eradicating the coronavirus only within the country. During the pandemic, international organizations provided the necessary assistance to Uzbekistan, and in 2020, $ 2.7 billion directed by international and foreign financial institutions such as the Asian Development Bank, the World Bank and the Japan International Cooperation Agency, financial institutions will provide health care to fight the pandemic, has allocated $ 277 million to the storage health sector.</p> <p>&nbsp;The covid-19 pandemic in the social context has significantly affected the population, this due to the great impact that has been generated in all the contexts where the individual develops. Among the problems that can be highlighted due to their level of increase is social inequality, discrimination, exclusion, violence, among others, being those a reason for people to have effects on their well-being and quality of life. In relation to the aforementioned, this research aimed to analyze Covid-19 in the educational context in Uzbekistan universities and in the methodological context in virtual classes during this Pandemic.</p> Qudratulla Omonov, Ruftullo Nigmatov, Dilrabo Bakhronova Copyright (c) 2021 Dilrabo Keldiyorovna Bakhronova Sun, 18 Jul 2021 00:00:00 +0100 Colour and odour based evaluation of fruits using IOT <p>Mostly the process of selecting the fruits in their best ripen state is done manually and so it is much time consuming and prone to errors. So this paper proposes an IoT based approach for mimicking the behaviour of customer while selecting a fruit in automated manner using TCS3200 Colour Sensor and MQ-4 Gas Sensor. Customers while selecting fruits firstly observe the colour. Secondly customers try to sense the odour of a fruit and then they buy it. Similarly here in this proposed approach firstly the colour of fruit is detected by TCS3200 Colour Sensor and then the Odour of fruit is Detected by MQ-4 Gas Sensor after that only the fruit is approved.</p> Shridhar Mankar, Dr. B U. Sonawne Copyright (c) 2021 Shridhar Mankar, Dr. B U. Sonawne Sun, 18 Jul 2021 00:00:00 +0100 A Systematic Level Review on usage of Internet of Things (IoT) technologies in mushroom cultivation <p>With the advent of new technologies, IoT came into existence and created its niche in the technological world with its outperforming functionalities. Without human intervention, things can communicate with each other and perform their defined actions. Integration of different sensors helps in collecting real time data in different applications. Smart farming is described as the application of modern technologies to farming practices in order to achieve continuous improvement in farming procedures, resulting in increased productivity. The Internet of Things (IoT) is blending with modern agriculture because it enables farmers to track their farms in real time and access all of the information they need from any place at any time. Mushroom cultivation has also experienced the similar trends. Improved production and quality of crops can be obtained by controlling the climate for mushroom cultivation, as the ideal environmental conditions such as temperature, carbon dioxide, humidity level, sunlight, nutrient, and pH can be monitored and regulated using modern IoT enabled techniques.</p> <p>This research article presents the systematic literature review (2007-2020) of the current technologies been used in mushroom cultivation using IoT with sensors. Review of IoT technologies such as gateway, types of sensors, communication system, nature of experiment and user interface is presented. The advantages and disadvantages of usage of these modern technologies in mushroom cultivation are also discussed. A SWOT analysis on Indian mushroom industry has also been presented for better mushroom cultivation for cost effective methods which will help in further future analysis.It is found that wireless sensor networking is helpful in maintaining and controlling optimum environmental parameters such as humidity, temperature and carbon dioxide level. Automated systems overcome traditional methods in an efficient way.</p> Nisha Aggarwal, Dinesh Singh Copyright (c) 2021 Dinesh Singh Wed, 21 Jul 2021 00:00:00 +0100 Crime Prediction and Intrusion Detection with IoT and Machine Learning <p>In this era of digitalization crime investigation and prediction is top and foremost necessity. An action or commission which constitutes an offence and is punishable by Law is called crime.&nbsp; It can be performed by individual or group .it can commit against government or private may be harm someone reputation, physical harm or mental harm crime can cause direct harm or indirect harm to whoever the victim&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; is. <br>&nbsp;The purpose of our work is to design a prototype that helps the police in detecting crime locations. We have taken a condition that if any person is going somewhere and after seeing an accident, when the photo of that accident is taken then automatically it will be sent to nearest police Station. For this, it is necessary to have an application designed by us both in the sender and the receiver. This whole matter will directly connect the police with crime location which ease the police can reach that location. GPS will be used for location detection. In our work we have collected dataset with the help of digital camera which is attached with IoT device. In first part of our paper we have discussed the grounds of our work under introduction of crime, digital image processing, GPS and IoT. In second part of our work we have discussed the methodology of our work here sensor board, GPS setting has been discussed along with dataset. There is a number of data collection technologies in the IoT. The most widely used technology is the Wireless sensor network (WSN) uses multi-hopping and self-organization to maintain control over the communication nodes.</p> <p>&nbsp;</p> <p>&nbsp;</p> Anirudh Kumar Tiwari, Prof.(Dr.) Bhavana Narain Copyright (c) 2021 Anirudh Kumar Tiwari, Prof.(Dr.) Bhavana Narain Wed, 21 Jul 2021 00:00:00 +0100 The Online Retail Market Analysis for Social Development with Machine Learning <p>Present era is a digital era where retail marketing &amp; online marketing plays an important role in people living style. Filling the gap between customer &amp;market is a technological responsibility of technocrat’s. In our work we have collected online data and retail data of last 5 years. These data were collected from two major organizations which deal with online marketing and retail marketing. Techniques from unsupervised data type were implemented to analyze the collected data. Knowledge gain from this analysis is used for marketing upliftment &amp; social development. New modified K mean clustering Algorithm (NMKMCA) is used for data analysis. Accuracy result of retail marketing&amp; online marketing is compared in our work. We have taken I/O time and computational time as our working parameters. Result of this parameters are analyzed &amp; discussed in our work. In last section of our work we find that NMKMCA will take less time in computing very large dataset.</p> Manjushree Nayak, Bhavana Narain Copyright (c) 2021 Office SPAST Sun, 18 Jul 2021 00:00:00 +0100 Mathematical Modeling of Regulatory cascade in Psoriasis <p>In the post-genomic era, mathematical modeling of regulatory cascades in gene-regulated networks in autoimmune diseases (AIDs) like Psoriasis is a challenging task to execute. Four computational approaches addressed the Challenge, namely (a) G<strong>ene Assisted Cascade Regulation</strong>, (b) <strong>Differential</strong> <strong>Gene</strong><strong> Expression Cascade, </strong>(c) <strong>Gene</strong> V<strong>ariant Cascade, </strong>and (d) B<strong>iologic Cascade </strong>to identify a potential biomarker for treating Psoriasis in the future.</p> HARISHCHANDER ANANDARAM, Daniel Alex Anand Copyright (c) 2021 HARISHCHANDER ANANDARAM, Daniel Alex Anand Mon, 26 Jul 2021 00:00:00 +0100 Investigating Vietnamese Culture through Communication and the art of Language <p><strong>Abstract: </strong>In recent times, with rapid economic development and close interaction between nations due to globalization, the national culture has become the centre stage for connected society research.&nbsp; In the current years, the Vietnamese Government’s policy realized and confirmed the importance of the culture in the human’s development index. Thus, pursuing the vision “to build an advanced culture deeply infused with national identity” for the Vietnamese. The current paper analyzes some special points of the Vietnamese cultural foundations to provide the readers an insight of the small, but beautiful country.</p> <p>The word “culture” has many meanings. In Vietnam, culture is used in a common sense to show the educational status and lifestyle; in a specialized sense to indicate the stage of development of the society. While broadly defined, culture encompasses everything, from sophisticated modern products to beliefs, customs, lifestyles, and kind of employment. With this broad understanding that culture is the real object of culture studies.</p> <p>Vietnamese society is the amalgamation of the following composites ―agricultural society is the back bone; preservation and restoration of ecology is a traditional way of life; family values based on emotions and respect for the women is the vietnamese second nature; lack of religious tension in Vitenam has led to Vietnamese to be more adaptive to change. These aspects make Vietnam a perfect destination for a tourism driven economy. At same time the influence of traditional way of life driven towards respect for nature can go a long way realizing the Sustainable development goals laid down by the UN.</p> <p>Vietnamese Language is the mirror that expresses the Vietnam's national identity and the culture, as well as daily behavior. The readers et al, may find some interesting points in the Vietnamese culture through reading and understanding. But it is vital to not to forget the fact that culture and civilization are two different concepts. Vietnam has been moving quickly towards the path of the preservation of its culture as well as civilization and integration with the global economy.</p> Thi Phi Nga Nguyen Copyright (c) 2021 Thi Phi Nga Nguyen Sun, 18 Jul 2021 00:00:00 +0100 A DEVELOPMENT OF SENSOR BASED ELECTRONIC NOSE FOR FOOD APPLICATION <p><em>The capability to classify &amp; identify the chemical sample for food application significantly impacts food commerce, particularly for the public. Every chemical sample response has an exceptional, characteristic odor. These developments emphasize the technique of an ANN to differentiate the characteristic smell for the response of chemicals. ANN technique has been demoralized for the categorization of different smell patterns. Based on artificial neural network technique, Sensor-based e-nose system for food application; each chemical identification has been industrial. The system consists of the 5-gas sensor selection, which detect chemical chat during an enhancement in allowing while dropping gas is immersed scheduled the sensors outside. The production starting character sensors is equally assemble and incorporated to construct a dissimilar signal reaction model. A preferred sensor array shows its association with the chemical test. By using 5 samples of chemicals, the E-nose classification has been practiced with 5 many classification of sensors. Beginning the consequences, the E-nose method with 5 sensors has the capability to classify each chemical reaction model. Precision in classifying the accurate chemical reaction increase with the numeral of sensors used. These assessments demonstrate that the ANN-based e-nose method promises a flourishing system to categorize a characteristic odor sample for chemical sample response</em><em>.</em></p> Manjunath Managuli, Abhay Deshpande, Sudha H Salake, Pavan Kanchur Copyright (c) 2021 Manjunath Managuli Wed, 28 Jul 2021 00:00:00 +0100