Pub Date : 1900-01-01DOI: 10.52458/978-93-91842-08-6-4
Shuchi Dave, Aman Jain, Deepak Sajnani, Saksham Soni
The women’s majesty is always respectable but presently the cruelty of humans and the jeopardy on women are not leading us towards hell only but also degrading our sublimity. A lot of women were sexually and mentally harassed while some are beaten to death and many of the cases are even not registered in the papers. Generally, when the wrong behavior happening to the woman, at that time she alone fought with them, no one comes to save her life because no one saw her and if she went to the police, she has no proof. So, for the safety of the women, we think to design such a device so that the woman could get help from the police department and her family too. The device contains e-components like GSM, GPS, ESP32 camera module, battery, etc. The whole design will be coded in the IC ATmega328p. Later on, the design will be printed on the PCB. The device will be in a very small design in the form of “Borla” a Rajasthani traditional wear. Because of the device, we will make a direct touch with the lady and along with the live tracking of that woman. It will also help us in tracking delinquents to put them behind the bars with adequate proofs. With the help of GSM, GPS the nearest police department and her family members will get the location of the woman via mobile message and the police will lead the rest. It will give a complete shield to the woman just with a single touch. In this paper, we tried to reduce the cost of women’s shields with help of value analysis &optimization.
{"title":"Women’s Shield","authors":"Shuchi Dave, Aman Jain, Deepak Sajnani, Saksham Soni","doi":"10.52458/978-93-91842-08-6-4","DOIUrl":"https://doi.org/10.52458/978-93-91842-08-6-4","url":null,"abstract":"The women’s majesty is always respectable but presently the cruelty of humans and the jeopardy on women are not leading us towards hell only but also degrading our sublimity. A lot of women were sexually and mentally harassed while some are beaten to death and many of the cases are even not registered in the papers. Generally, when the wrong behavior happening to the woman, at that time she alone fought with them, no one comes to save her life because no one saw her and if she went to the police, she has no proof. So, for the safety of the women, we think to design such a device so that the woman could get help from the police department and her family too. The device contains e-components like GSM, GPS, ESP32 camera module, battery, etc. The whole design will be coded in the IC ATmega328p. Later on, the design will be printed on the PCB. The device will be in a very small design in the form of “Borla” a Rajasthani traditional wear. Because of the device, we will make a direct touch with the lady and along with the live tracking of that woman. It will also help us in tracking delinquents to put them behind the bars with adequate proofs. With the help of GSM, GPS the nearest police department and her family members will get the location of the woman via mobile message and the police will lead the rest. It will give a complete shield to the woman just with a single touch. In this paper, we tried to reduce the cost of women’s shields with help of value analysis &optimization.","PeriodicalId":247665,"journal":{"name":"SCRS Conference Proceedings on Intelligent Systems","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124824834","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 : 1900-01-01DOI: 10.52458/978-93-91842-08-6-11
Rashandeep Singh, G. Goyal
The field of automata theory is one of the most important areas in the field of Computer Science and Engineering that deals with how efficiently a problem can be solved on a model of computation using an algorithm. There exists a variety of formal languages like regular, context free, context sensitive, etc. These formal languages are described as set of specific strings over a given alphabet and can be described using state or transition diagrams. The state/transition diagram for regular languages is called a finite automaton which is used in the lexical analysis phase of compiler design for recognition of tokens. The construction of finite automata is a complicated and challenging process as there is no fixed mathematical approach that exists for designing of DFA and handling the validations for acceptance or rejection of strings. Consequently, it is difficult to represent the DFA’s transition table and graph. The present paper proposes an algorithm for designing of deterministic finite automata (DFA) for a regular language with a given prefix. The proposed method further aims to simplify the lexical analysis process of compiler design.
{"title":"Algorithm Design for Deterministic Finite Automata for a Given Regular Language with Prefix Strings","authors":"Rashandeep Singh, G. Goyal","doi":"10.52458/978-93-91842-08-6-11","DOIUrl":"https://doi.org/10.52458/978-93-91842-08-6-11","url":null,"abstract":"The field of automata theory is one of the most important areas in the field of Computer Science and Engineering that deals with how efficiently a problem can be solved on a model of computation using an algorithm. There exists a variety of formal languages like regular, context free, context sensitive, etc. These formal languages are described as set of specific strings over a given alphabet and can be described using state or transition diagrams. The state/transition diagram for regular languages is called a finite automaton which is used in the lexical analysis phase of compiler design for recognition of tokens. The construction of finite automata is a complicated and challenging process as there is no fixed mathematical approach that exists for designing of DFA and handling the validations for acceptance or rejection of strings. Consequently, it is difficult to represent the DFA’s transition table and graph. The present paper proposes an algorithm for designing of deterministic finite automata (DFA) for a regular language with a given prefix. The proposed method further aims to simplify the lexical analysis process of compiler design.","PeriodicalId":247665,"journal":{"name":"SCRS Conference Proceedings on Intelligent Systems","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122141942","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 : 1900-01-01DOI: 10.52458/978-93-91842-08-6-9
Andy E. Williams
Recent advances in modeling human cognition have resulted in what is suggested to be the first model of Artificial General Intelligence (AGI) with the potential capacity for human-like general problem-solving ability, as well as a model for a General Collective Intelligence or GCI, which has been described as software that organizes a group into a single collective intelligence with the potential for vastly greater general problem-solving ability than any individual in the group. Both this model for GCI and this model for AGI require functional modeling of concepts that is complete in terms of meaning being self-contained in the model and not requiring interpretation based on information outside the model. The combination of a model of cognition to define an interpretation of meaning, and this functional modeling technique to represent information that way together results in fully self-contained definitions of meaning that are suggested to be the first complete implementation of semantic modeling. With this semantic modeling, and with these models for AGI and GCI, cognitive computing and its capacity for general problem-solving ability become far better defined. However, semantic representation of problems and of the details of solutions, as well general problem-solving ability in navigating those problems and solutions is not required in all cases. This paper attempts to explore the cases in which it is, and how the various computing methods and advanced computing paradigms are best utilized in each case from the perspective of cognitive computing.
{"title":"Cognitive Computing and its Relationship to Computing Methods and Advanced Computing from a Human-Centric Functional Modeling Perspective","authors":"Andy E. Williams","doi":"10.52458/978-93-91842-08-6-9","DOIUrl":"https://doi.org/10.52458/978-93-91842-08-6-9","url":null,"abstract":"Recent advances in modeling human cognition have resulted in what is suggested to be the first model of Artificial General Intelligence (AGI) with the potential capacity for human-like general problem-solving ability, as well as a model for a General Collective Intelligence or GCI, which has been described as software that organizes a group into a single collective intelligence with the potential for vastly greater general problem-solving ability than any individual in the group. Both this model for GCI and this model for AGI require functional modeling of concepts that is complete in terms of meaning being self-contained in the model and not requiring interpretation based on information outside the model. The combination of a model of cognition to define an interpretation of meaning, and this functional modeling technique to represent information that way together results in fully self-contained definitions of meaning that are suggested to be the first complete implementation of semantic modeling. With this semantic modeling, and with these models for AGI and GCI, cognitive computing and its capacity for general problem-solving ability become far better defined. However, semantic representation of problems and of the details of solutions, as well general problem-solving ability in navigating those problems and solutions is not required in all cases. This paper attempts to explore the cases in which it is, and how the various computing methods and advanced computing paradigms are best utilized in each case from the perspective of cognitive computing.","PeriodicalId":247665,"journal":{"name":"SCRS Conference Proceedings on Intelligent Systems","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122340377","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 : 1900-01-01DOI: 10.52458/978-93-91842-08-6-14
Vipin C Nair, Lathangi R
Smart Manufacturing is a broad category of manufacturing that employs a computer based integrated manufacturing system with higher end of new adaptability and quick evolution in design structure along with digitization and effective workforce training. Industry 4.0 and the advent of industry 5.0 have given new dimensions in manufacturing along with sustainable and environment friendly manufacturing which is called Green manufacturing. Artificial intelligence (AI) if implemented with major environmental concerns can add a new dimension to the industrial revolution of this century. Imagining a set up of cell manufacturing and flexible manufacturing systems using low carbon emission standards with AI may one day make complex systems easy to operate and give a healthy environment to work. Less hazards and low carbon emissions particularly in chemical industries may make industries more environments friendly and thus save the life forms on earth from self destruction. Green Tech or Green manufacturing is an umbrella term which comes under the same branch in one way or other which is used in several technologies or the fields of science in order to bring up with products which Eco friendly. This article discusses as well as suggests remedies for AI systems to be more environments friendly and thus bring harmony with technology and its management with Mother Nature. This research article has data from secondary sources like reports / websites / professionals and a detailed model is prepared on it.
{"title":"A Study on Management of Artificial Intelligence in Green Manufacturing with Special Reference to TVS Motor Company, Hosur, Tamil Nadu, India","authors":"Vipin C Nair, Lathangi R","doi":"10.52458/978-93-91842-08-6-14","DOIUrl":"https://doi.org/10.52458/978-93-91842-08-6-14","url":null,"abstract":"Smart Manufacturing is a broad category of manufacturing that employs a computer based integrated manufacturing system with higher end of new adaptability and quick evolution in design structure along with digitization and effective workforce training. Industry 4.0 and the advent of industry 5.0 have given new dimensions in manufacturing along with sustainable and environment friendly manufacturing which is called Green manufacturing. Artificial intelligence (AI) if implemented with major environmental concerns can add a new dimension to the industrial revolution of this century. Imagining a set up of cell manufacturing and flexible manufacturing systems using low carbon emission standards with AI may one day make complex systems easy to operate and give a healthy environment to work. Less hazards and low carbon emissions particularly in chemical industries may make industries more environments friendly and thus save the life forms on earth from self destruction. Green Tech or Green manufacturing is an umbrella term which comes under the same branch in one way or other which is used in several technologies or the fields of science in order to bring up with products which Eco friendly. This article discusses as well as suggests remedies for AI systems to be more environments friendly and thus bring harmony with technology and its management with Mother Nature. This research article has data from secondary sources like reports / websites / professionals and a detailed model is prepared on it.","PeriodicalId":247665,"journal":{"name":"SCRS Conference Proceedings on Intelligent Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127844699","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 : 1900-01-01DOI: 10.52458/978-93-91842-08-6-15
Pratiksha Singh, A. K. Daniel
India is counted as one of the most populated countries in the world. A lot of crime is also increasing due to the increasing population, as criminal activities are more frequent in a crowded place. Being crowded is also facing a lot of diseases. Therefore, crowd management and monitoring are very important therefore viewed from the security, crowd management, and monitoring plays a very important role in identifying group/ individual’s behavior in a crowd using video and image sequence for counting the person and detection of such misbehavior elements, This paper proposed a model for crowd management and monitoring person counting as object detection techniques. This paper proposed Deep Convolutional Neural Network, and Support Vector Machine. The data set are taken from Mall, Kumbh Mela, and UCFD. The performance of the model using training and testing of data is improved.
{"title":"Crowd Management and Monitoring using Deep Convolutinal Neural Network","authors":"Pratiksha Singh, A. K. Daniel","doi":"10.52458/978-93-91842-08-6-15","DOIUrl":"https://doi.org/10.52458/978-93-91842-08-6-15","url":null,"abstract":"India is counted as one of the most populated countries in the world. A lot of crime is also increasing due to the increasing population, as criminal activities are more frequent in a crowded place. Being crowded is also facing a lot of diseases. Therefore, crowd management and monitoring are very important therefore viewed from the security, crowd management, and monitoring plays a very important role in identifying group/ individual’s behavior in a crowd using video and image sequence for counting the person and detection of such misbehavior elements, This paper proposed a model for crowd management and monitoring person counting as object detection techniques. This paper proposed Deep Convolutional Neural Network, and Support Vector Machine. The data set are taken from Mall, Kumbh Mela, and UCFD. The performance of the model using training and testing of data is improved.","PeriodicalId":247665,"journal":{"name":"SCRS Conference Proceedings on Intelligent Systems","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132431408","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 : 1900-01-01DOI: 10.52458/978-93-91842-08-6-13
N. Mangathayaru, K. Sumanth, P. Jeremiah John, T. Akhila, N. Nidhi
Agriculture plays a vital role in the development of Indian economy, these days many people living in the cities are preferring organic fruits and vegetables, which in turn is creating opportunities for big nurseries to grow fruits and vegetables in the traditional organic method, some people are also growing such plants at their home itself to meet their daily consumption needs. Even though the methodologies used for such farming are very good at providing a good yield, such activities still require a lot of time and man work for efficient output. Such people are starting to rely on some automation and monitoring to as most of the people in such urban localities have very little time to spend on such activities, this has recently become a trend as the sensors used monitor these plants are relatively inexpensive and also usage of such sensors which provide the users with a lot more information which can be used to make dynamic decisions based on various conditions and requirements turns out to be even more efficient as it is not ideal to keep providing the same amount of nutrients and water irrespective of their need, therefore such constant monitoring helps out the users to monitor and decide on what actions to perform such as how much nutrients have to sprayed and how much water needs to be supplied. The only issue in implementing such system arises when we need to use a cloud service to manage all the data which is typically an expensive service and since it is not a one-time expense like the sensors, the users have to keep paying as a monthly/yearly basis for such services. The main aim of this study is to implement a simple and easy to use local server which the user can run on their personal computers or a cheap computation device such as a raspberry pi to avoid the heavy costs of cloud services.
{"title":"PALS - Precision Agriculture using Local Server","authors":"N. Mangathayaru, K. Sumanth, P. Jeremiah John, T. Akhila, N. Nidhi","doi":"10.52458/978-93-91842-08-6-13","DOIUrl":"https://doi.org/10.52458/978-93-91842-08-6-13","url":null,"abstract":"Agriculture plays a vital role in the development of Indian economy, these days many people living in the cities are preferring organic fruits and vegetables, which in turn is creating opportunities for big nurseries to grow fruits and vegetables in the traditional organic method, some people are also growing such plants at their home itself to meet their daily consumption needs. Even though the methodologies used for such farming are very good at providing a good yield, such activities still require a lot of time and man work for efficient output. Such people are starting to rely on some automation and monitoring to as most of the people in such urban localities have very little time to spend on such activities, this has recently become a trend as the sensors used monitor these plants are relatively inexpensive and also usage of such sensors which provide the users with a lot more information which can be used to make dynamic decisions based on various conditions and requirements turns out to be even more efficient as it is not ideal to keep providing the same amount of nutrients and water irrespective of their need, therefore such constant monitoring helps out the users to monitor and decide on what actions to perform such as how much nutrients have to sprayed and how much water needs to be supplied. The only issue in implementing such system arises when we need to use a cloud service to manage all the data which is typically an expensive service and since it is not a one-time expense like the sensors, the users have to keep paying as a monthly/yearly basis for such services. The main aim of this study is to implement a simple and easy to use local server which the user can run on their personal computers or a cheap computation device such as a raspberry pi to avoid the heavy costs of cloud services.","PeriodicalId":247665,"journal":{"name":"SCRS Conference Proceedings on Intelligent Systems","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114806406","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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