Sukhdeep Kaur, K. Joshi, M. C. Teja, Ajay Singh, Amen A. Khabeer, Sunil Shukla
{"title":"Sensor based Smart Plant Monitoring using IOT and Deep Learning: A Systematic Approach","authors":"Sukhdeep Kaur, K. Joshi, M. C. Teja, Ajay Singh, Amen A. Khabeer, Sunil Shukla","doi":"10.1109/ICCCS55188.2022.10079347","DOIUrl":"https://doi.org/10.1109/ICCCS55188.2022.10079347","url":null,"abstract":"As we can see, only a select few gadgets, such as PCs and smartphones, are internet-connected in the modern world and since governments across the world instituted lockdowns to stop the spread of COVID-19, interest in home gardening has exploded. Internet of Things (IoT) and the internet have completely taken over today's world. All humans utilize the internet to fulfill basic needs. The network of actual items is known as the Internet of Things (IOT). Simply put, it refers to the process of keeping an eye on a physical machine or object. It can also refer to the interconnection of physical objects that have been implanted with electronics, sensors, software, and network connectivity. The foundation of our nation is agriculture. The main issue in agriculture is water scarcity. The water resource is not used in an effective manner, so the water is wasted. To overcome this problem, we proposed plant monitoring approach.","PeriodicalId":149615,"journal":{"name":"2022 7th International Conference on Computing, Communication and Security (ICCCS)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125610100","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}
{"title":"Recent advances in 5G and beyond","authors":"Shivangi Mishra, A. Chaudhary, Anil Kumar","doi":"10.1109/ICCCS55188.2022.10079254","DOIUrl":"https://doi.org/10.1109/ICCCS55188.2022.10079254","url":null,"abstract":"The mobile 5G networks for wireless communication are more recent generation. This research presents analyses of mobile communication technology. The fifth generation of mobile networks gives everyone access to high-speed internet whenever they want and from any location. Due to its cutting-edge capabilities, such as linking people and controlling machines, devices, and objects, 5G is quite distinctive. The findings of this investigation revealed a number of elements, including millimeter wave, massive multiple-input and multiple-output etc. The major goals of this paper are to discuss the future research goals for the 5G mobile system and to showcase a few of the most recent developments.","PeriodicalId":149615,"journal":{"name":"2022 7th International Conference on Computing, Communication and Security (ICCCS)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133342125","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}
{"title":"Empirical Evaluation of in silico Microsatellites Mining Tools Designed Using Nextgen Technology in Crops","authors":"Umang, P. Bharti, Akhtar Husain","doi":"10.1109/ICCCS55188.2022.10079358","DOIUrl":"https://doi.org/10.1109/ICCCS55188.2022.10079358","url":null,"abstract":"Microsatellites are found in genome sequences of all prokaryotes and eukaryotes. They are the primary source of studying genetic variations, molecular breeding, gene discovery, disease identification, and hypervariability in a plant's genome. Many web-based and standalone computing tools have been developed to analyze sequence data using next-generation sequencing tools with several new features and objectives. Researchers always need a variety of in silico microsatellite exploring tools to analyze research data apart from extracting them. This evaluation aims to chronologically provide up-todate information on tools and databases designed explicitly to study genome-wide specifications of simple sequence repeats in crop cultivars. The study was conducted to empirically assess these tools and databases to find the next-generation technology used in designing the standalone tool, web interface & relational database. Also, to compare their processing adequateness in terms of features, such as the primer-related information, flanking sequences, statistics information of repeats, coding /non-coding, and other genomic features of the identified motif. This study may help researchers in agriculture to determine the most popular next-generation sequencing tool and technologies used to analyze microsatellite-related features and fill the gap for future applications.","PeriodicalId":149615,"journal":{"name":"2022 7th International Conference on Computing, Communication and Security (ICCCS)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116833208","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}
{"title":"Internet of things (IoT) in Agriculture","authors":"Devanshi Sharma, A. Chaudhary, Anil Kumar","doi":"10.1109/ICCCS55188.2022.10079313","DOIUrl":"https://doi.org/10.1109/ICCCS55188.2022.10079313","url":null,"abstract":"A vital challenge in agriculture is to fertilize manufacture within the farm and transport it to the tip shoppers with the simplest doable worth and best possible grade. Presently way and wide, it is found that around 50% for the agricultural produce never reach the end consumer due to wastage and insignificant costs.","PeriodicalId":149615,"journal":{"name":"2022 7th International Conference on Computing, Communication and Security (ICCCS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129320222","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}
{"title":"Analysis and Prediction of Heart Attack using Machine Learning Models","authors":"Paras Negi, M. Bisht","doi":"10.1109/ICCCS55188.2022.10079409","DOIUrl":"https://doi.org/10.1109/ICCCS55188.2022.10079409","url":null,"abstract":"The heart is the most important chunk of the human body. It acts as a pump and helps to circulate the blood throughout the whole body. Over the last few years, heart attacks have become the leading cause of mortality worldwide, and it takes millions of lives each year. Machine learning is a type of artificial intelligence that allows applications to become more accurate at predicting results without being explicitly programmed to do so. Machine learning is one of the methods of artificial intelligence for the prediction of different aspects in almost every field of study. In the medical field, it provides incalculable participation to determine various healthcare problems. The use of machine learning is to work on different models that learn from a training set and define the accuracy. Classification algorithms like support vector, K-nearest neighbors, and many others are useful for prediction of future outcomes.","PeriodicalId":149615,"journal":{"name":"2022 7th International Conference on Computing, Communication and Security (ICCCS)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125686412","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}
{"title":"Fuzzy Reliability Evaluation Using Pythagorean Fuzzy Set Approach Emphasizing Score Function and Accuracy Function","authors":"Supriya, Suneel Kumar, D. Kumar","doi":"10.1109/ICCCS55188.2022.10079557","DOIUrl":"https://doi.org/10.1109/ICCCS55188.2022.10079557","url":null,"abstract":"The present study proposes a new technique to determine the reliability of different complex systems using Pythagorean fuzzy set theory. The fuzzy reliability set theory has been applied in many fields such as management, engineering, etc. In this paper we evaluate system reliability in which the reliability of the components of a system are represented by Pythagorean fuzzy element for modeling uncertainty and vagueness in real life situations.The proposed method can model and analyze the fuzzy system reliability in a more flexible and more intelligent manner. This new method also uses the score function and accuracy function for better comparison of different complex systems.","PeriodicalId":149615,"journal":{"name":"2022 7th International Conference on Computing, Communication and Security (ICCCS)","volume":"153 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133454743","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}
Sagar Bhatt, Rakesh Dani, Sonu Kumar Katnoriya, Y. Rawal, Ashulekha Gupta, K. Joshi
{"title":"Acceptance of the Nanotechnology in the Food Industry for customer Satisfaction","authors":"Sagar Bhatt, Rakesh Dani, Sonu Kumar Katnoriya, Y. Rawal, Ashulekha Gupta, K. Joshi","doi":"10.1109/ICCCS55188.2022.10079272","DOIUrl":"https://doi.org/10.1109/ICCCS55188.2022.10079272","url":null,"abstract":"Nanotechnology is one of the most innovative techniques in the food and beverage sector. Nanotechnology applications in many sectors of the food business have expanded as a study into using nanotechnology in food science has progressed. The food sector can use nanotechnology for food production, Food safety & processing, packaging, and quality control. Despite traditional microscale substances, non-materials with unique properties can enhance food sensory properties by contributing new texture, color, and appearance. Nanotechnology was utilized to develop Nano sensors for detecting hazardous components in meals as well as a smart packaging system that can identify foodborne illness quickly and accurately. This review study focuses on current advancements in nanotechnology applied to the food and beverage sector starting from use, production, packaging, and safety.","PeriodicalId":149615,"journal":{"name":"2022 7th International Conference on Computing, Communication and Security (ICCCS)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115278988","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}
{"title":"Satellite Image Classification and Change Detection: A Case Study of Almora Town, Uttarakhand, India","authors":"P. Joshi, P. Saxena","doi":"10.1109/ICCCS55188.2022.10079485","DOIUrl":"https://doi.org/10.1109/ICCCS55188.2022.10079485","url":null,"abstract":"Land use/ land cover classification using satellite imagery is gaining abundant attention of researchers for extracting information from geospatial data. Various techniques are popular for the information extraction process from images to monitor a large geographical area and a comparison between these classifiers is required to select the appropriate one for the given application. The current study compares the four different classifiers namely Maximum Likelihood, Minimum Distance, Mahalanobis Distance, and Parallelepiped taking Almora town as the test area, which is located at Almora district of Uttarakhand province. Landsat imagery from two different years, i.e. 1999 and 2020, obtained from USGS Earth Explorer portal of geospatial datasets, has been used for the case study. First, the 2020 image of the study area has been classified using aforementioned four classifiers, and the accuracy of the four classifiers evaluated. Based on the accuracy level, the 1999 and 2020 images further classified with the classifier having highest accuracy rate to detect the changes in the given two decades.","PeriodicalId":149615,"journal":{"name":"2022 7th International Conference on Computing, Communication and Security (ICCCS)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128573593","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}
{"title":"Reliability analysis of different complex systems using intuitionistic trapezoidal fuzzy number","authors":"Jaya Bhadauria, Sudha Rana, A. Kumari, D. Kumar","doi":"10.1109/ICCCS55188.2022.10079498","DOIUrl":"https://doi.org/10.1109/ICCCS55188.2022.10079498","url":null,"abstract":"Reliability modelling is one of the most important disciplines of reliability engineering. In this research, a new method for analyzing fuzzy system reliability using intuitionistic trapezoidal fuzzy set theory is presented, where the reliabilities of the components of a system are represented by intuitionistic trapezoidal fuzzy number for modelling uncertainty and vagueness in real life situations. The proposed method can model and analyze the fuzzy system reliability in a more flexible and more intelligent manner. The proposed method also uses the score function and accuracy function for comparison of different complex systems. The score function can help the decision maker to make his decision more efficiently in decision-making problem.","PeriodicalId":149615,"journal":{"name":"2022 7th International Conference on Computing, Communication and Security (ICCCS)","volume":"140 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132774056","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}
{"title":"Internet of Things: A Survey on Air Pollution Monitoring, Challenges and Applications","authors":"Sarita Jiyal, Jitendra Sheetlani, R. Saini","doi":"10.1109/ICCCS55188.2022.10079635","DOIUrl":"https://doi.org/10.1109/ICCCS55188.2022.10079635","url":null,"abstract":"Due to urbanization and the development of cities, many forests have been cut down for the accommodation and conveyance of human beings. Demand for vehicles is growing exponentially due to the excessive use of resources. Due to how air pollution occurs from vehicles, we are using resources excessively, which is not good for us and our future generations. We are burning fossil fuel and coal for factories, which causes air pollution due to many diseases that occur in human beings, such as respiratory diseases and cardiovascular diseases. Smart sustainable cities are a good concept for every country using the internet of things. In this paper, we discussed air pollution and how it can be monitored using the internet of things. We use gas sensors and dust sensors, which are placed in street lights and signals along city roads, to sense the data. The Arduino is used for analysing the data; the data is displayed on an LCD display and sent to the cloud. People can know the status of air pollution using an Android application.","PeriodicalId":149615,"journal":{"name":"2022 7th International Conference on Computing, Communication and Security (ICCCS)","volume":"335 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113955939","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}