Journal of integrated science and technology, May 7, 2024
Agriculture is one of the key industries that use ground-based and aerial drones for crop health ... more Agriculture is one of the key industries that use ground-based and aerial drones for crop health evaluation, crop monitoring, crop spraying, planting, soil and field analysis, irrigation, and other fields. Drones can be flown from a ground station or from the air. The term "precision farming," commonly referred to as site-specific crop management, is the use of technology to increase agricultural output and efficiency. Due to the availability of real-time data and insights on crop growth, soil quality, weather patterns, and other crucial elements, the integration of machine learning (ML) and the internet of things (IoT) has completely changed the way farming is done. To put it another way, both plants and animals receive the exact care that they require, which is decided by machines with a precision that exceeds that of a human. Instead of making decisions for an entire field, precision farming enables decisions to be made on a per-square-meter or even per-plant or per-animal basis. This is the primary distinction between traditional farming and precision farming. This article focuses on the creation and application of a hybrid IoT and ML system for precise farming. The ML algorithms can process enormous amounts of data and produce insights that can assist farmers in making defensible decisions regarding their farming methods. The framework's IoT devices are in charge of gathering data from diverse sources and transmitting it to a central system for processing. Due to the hybrid nature of the framework, several technologies can be combined to produce a cohesive and effective system for precise farming.
Medicinal plants have a long tradition of being cultivated and harvested in India. The Indian For... more Medicinal plants have a long tradition of being cultivated and harvested in India. The Indian Forest is the principal repository for many useful medicinal herbs. As a result of their critical role in maintaining people's life, medicinal plants have traditionally been the subject of intensive research and consideration. Yet, correctly identifying plants used in medicine is a laborious process that takes a lot of time and expertise. Because of this, a vision-based approach may aid scientists and regular people in the rapid and precise identification of herb plants. Therefore, this research suggests a vision-based smart method to recognize herb plants by creating a deep learning (DL) model. Although there is a wide variety of useful plants, we limit ourselves to just six from the Kaggle database: betel, curry, tulsi, mint, neem, and Indian beech. For each medicinal plant, we collected 500 images. The data undergo a process of resizing and augmentation to increase the sample size. For the fully automatic identification of medicinal leaves, the MobileNet DL model is selected. To determine the model's effectiveness, it must first be trained, then validated, and ultimately tested. The DL model is evaluated using measures including accuracy, precision, and recall. For this reason, the DL model was able to correctly identify medicinal leaves at an accuracy rate of 98.3%. After being thoroughly investigated, the DL model is uploaded to the cloud, and a mobile app is created for the realtime identification of medicinal leaves. To recognize leaf images, the built mobile app accesses the DL model on the cloud. The automated recognition of plants represents an extremely promising option for filling the taxonomic gap and gaining a lot of interest from the fields of botany and machine vision.
Indonesian Journal of Electrical Engineering and Computer Science, Jul 1, 2023
The "Smart Glasses" are made to make it easier for blind persons to read and de... more The "Smart Glasses" are made to make it easier for blind persons to read and decipher written English-language content. A blind people find it exceedingly challenging to travel alone, and they run the danger of getting lost and regular sticks won't allow the person to go around independently in public without things growing worse. The objective of our work is to help blind people communicate more easily by developing a smart assistive glasses using artificial intelligence. The function of the glasses is to read out any text picture as audio text, which can then be heard through a headset attached to the spectacles. OpenCV, optical character recognition and efficient and accurate scene text (EAST) detector were used to identify the text in the image; ultrasonic sensor in the glasses is used to calculate the distance to snap a clear picture. The motion sensor directs the blind to the lecture halls, classrooms, and laboratory locations using an radio frequency identification reader. The results shows that combination of optical character recognizer and EAST detector produced a fairly accurate result, demonstrating the potential of the glasses to recognize the text. Currently, the language supported by the glasses is English, and the distance covered is 40 to 150 cm.
Handbook of Research on Safe Disposal Methods of Municipal Solid Wastes for a Sustainable Environment
Eco-friendly environment concern contributes to the survival of life on earth. Monitoring chemica... more Eco-friendly environment concern contributes to the survival of life on earth. Monitoring chemicals produced by growth requires a multidisciplinary scientific approach. Climate change is a result of pollution and overuse, particularly in the air. Although government and industry have taken initiatives to limit air pollution, it is still necessary to check the quality of the air at ground level. The goal of this endeavour is to build intercommunication-based individual vehicle air pollution monitoring and identification by internet of things (IoT). Idling and accelerating conditions were recorded using tailpipe emission sensing. Authorities can act and assure upkeep if they are able to identify a car at a busy intersection; mobile connectivity enabled route and vehicle identification. In India, fewer people will die from air pollution because to data gathered in the cloud.
India ranks third in population around worldwide. Thus to handle transportation for such a large ... more India ranks third in population around worldwide. Thus to handle transportation for such a large population a good and a strong system is need. Indian railroad is the second largest transportation system around world. In the vicinity of 2.5 crores passenger on daily basis are served by Indian Railway. Therefore to handle such a huge crowd conveniently modern amelioration of technology has been selected exceptionally the reservation system to bring gratification, performance, capability and transparency. Gradually, it was observed that the outcome of such adoption has piggyback various confrontations such as new online Tatkal booking system policy i.e. only two tickets can be booked per IP address between 10 a.m. to 12 noon and polymorphous user IDs issue. Howbeit, various reformative measures have been taken on the above highlighted issues. Thus, this paper is attempt to provide a answer for above highlighted issues i.e. by using UID registration numbers for reducing multiple IDs al...
International Journal of Scientific & Technology Research, 2019
A proposed multi-stream forensic technique for performing forensic investigations in an electroni... more A proposed multi-stream forensic technique for performing forensic investigations in an electronic system includes capturing and associating multiple streams of information. The multi-streams refer network stream, storage stream, and virtual stream. The network stream contains a record of network activities such as traffic data, server logs, host activities details, and firewall data so on. A storage stream refers to data of storage media such as hard disk, memory, flash drive, and network area storages which record both read and write activities. A virtual stream refers to data of virtual machines, virtual servers, virtual memory, virtual drives and related sources. A comprehensive summary logs can be obtained with each network, storage, and virtual activities coordinated during particular time. To enable investigation for finding the suspicious events across network, storage, and virtual domains multi-stream forensic technique has been proposed. It achieves cloud security breach i...
Now a days health monitoring has become a crucial part of human lifestyle. Machine learning model... more Now a days health monitoring has become a crucial part of human lifestyle. Machine learning models can help us in predicting the disease beforehand for us and help us to fight it efficiently. Taking the capability of IOT technology into account, it is possible to overcome the difficulties. A raspberry pi powered device which will take the help of various ML algorithm to help us identify heart disease, diabetes disorder, skin disease. This device will take the help of various sensors like heart rate sensor, ECG sensor, camera module etc. to reduce the human intervention and give accurate input to the ML models for them to predict the result with more accuracy. These devices may increase the chances of surviving from unexpected diseases. This project is an innovative project as there is no existing system making the use of machine learning and IOT together for detecting a disease. This system can become a base for new system to come up which can detect and alert the user of their heal...
International Journal For Science Technology And Engineering, 2016
Our society relies on effective and efficient communication. Nowadays, with the help of internet ... more Our society relies on effective and efficient communication. Nowadays, with the help of internet means of communication are increased rapidly. Thus, people from different parts of world are getting close day by day. Apart from emails, social networking sites like Facebook, twitter became the central means through which people stay connected. Along with these general social networking sites, health related social networking sites are also gaining popularity. But, sharing a lot of information emerged with various problems like information privacy and security. This paper gives details about different issues related to information available online on social networking sites. Also, ‘how health related social networking sites are adding more threats to privacy of user?’ is shown.
A B S T R A C T In real world, Sending data over network without any alteration is very important... more A B S T R A C T In real world, Sending data over network without any alteration is very important. The commonly used technique for providing confidentiality of transmitted data is cryptography. In this paper, We are going to use same concept of encrypt and Decrypt the data but new technique using a key as Armstrong numbers and Cued Click Point as the graphical password generation for Authentication. Three set of keys (i.e. Armstrong number, CCP, Server side key) are used to provide secure data transmission with the CCP acting as vital security element thereby providing authentication. We use security of Cued Click Points (CCP), a cued recall graphical password technique. Users click on one point per image for a sequence of images. The next image is based on the previous click-point. We also suggest that CCP provides greater security than Pass Points because the number of images increases the workload for attackers.
International Journal of Innovative Technology and Exploring Engineering, 2019
Multisource cloud log forensics (MCLF) strengthens the investigation method by means of detecting... more Multisource cloud log forensics (MCLF) strengthens the investigation method by means of detecting the malicious behavior of hackers thru deep cloud log evaluation. But, the accessibility attributes of cloud logs thwarts accomplishing the purpose to analyze cloud logs. Accessibility consists of the productions of cloud log get admission to, selection of suitable cloud log file, cloud log information integrity, and cloud logs trustworthiness. Hence, forensic investigators of cloud log files are dependent on cloud provider vendors (CSPs) to get entry to of diverse cloud logs. Accessing cloud logs from outside the cloud without depending at the CSPs is once more a hard, whereas the boom in cloud assaults has improved the need for MCLF to research the malicious activities of attackers. Criminals are easily hiding incriminating files within the cloud system and altering the log contents. Hence lock mechanism has been added to MCLF technique. This paper reviews the MCLF with lock technique...
Computer Engineering and Intelligent Systems, Oct 19, 2011
Many electronic mail systems are now available. Interconnecting these largely independent systems... more Many electronic mail systems are now available. Interconnecting these largely independent systems broadens the communities of users that can communicate electronically. When the systems are at different sites, the existing style of loose interconnection is sufficient. But when a local site has multiple mail systems, a user cannot easily perform tasks such as reading mail from all the systems during a single session. An integrated local mail environment that lets a user perform such tasks easily desirable.Such an integrated environment should have three properties. First, it should be inexpensive to implement the environment. Replacing the existing mail systems with a single, new system is too expensive. Second, it should be inexpensive to integrate a new mail system into the environment. As new systems are acquired, it should be easy to use their mail services effectively. Third, it should be possible to integrate diverse classes of mail systems into the environment. We have designed and implemented research on Heterogeneous Mail System as an environment with exactly these properties.
Computer Engineering and Intelligent Systems, 2011
In this paper, we present a project that would provide twitter like website for a university purp... more In this paper, we present a project that would provide twitter like website for a university purpose intended to use by the students, professors of the colleges in the University and a University Admin. The University admin will provide with all the necessary notifications regarding the events in the University for the students and professors like result notifications, timetables, events, fees, important dates, etc. The students and staff can follow the University Admin and get the necessary notifications just by logging into their accounts and viewing their home pages. Moreover, this project would be deployed on the cloud which would make this website available 24x7 and will reduce the overhead cost of maintaining the expensive servers for the University. This project aims at utilizing the social networking and technology for educational purposes and to improve the student-teacher interaction off the classroom.
Journal of integrated science and technology, May 7, 2024
Agriculture is one of the key industries that use ground-based and aerial drones for crop health ... more Agriculture is one of the key industries that use ground-based and aerial drones for crop health evaluation, crop monitoring, crop spraying, planting, soil and field analysis, irrigation, and other fields. Drones can be flown from a ground station or from the air. The term "precision farming," commonly referred to as site-specific crop management, is the use of technology to increase agricultural output and efficiency. Due to the availability of real-time data and insights on crop growth, soil quality, weather patterns, and other crucial elements, the integration of machine learning (ML) and the internet of things (IoT) has completely changed the way farming is done. To put it another way, both plants and animals receive the exact care that they require, which is decided by machines with a precision that exceeds that of a human. Instead of making decisions for an entire field, precision farming enables decisions to be made on a per-square-meter or even per-plant or per-animal basis. This is the primary distinction between traditional farming and precision farming. This article focuses on the creation and application of a hybrid IoT and ML system for precise farming. The ML algorithms can process enormous amounts of data and produce insights that can assist farmers in making defensible decisions regarding their farming methods. The framework's IoT devices are in charge of gathering data from diverse sources and transmitting it to a central system for processing. Due to the hybrid nature of the framework, several technologies can be combined to produce a cohesive and effective system for precise farming.
Medicinal plants have a long tradition of being cultivated and harvested in India. The Indian For... more Medicinal plants have a long tradition of being cultivated and harvested in India. The Indian Forest is the principal repository for many useful medicinal herbs. As a result of their critical role in maintaining people's life, medicinal plants have traditionally been the subject of intensive research and consideration. Yet, correctly identifying plants used in medicine is a laborious process that takes a lot of time and expertise. Because of this, a vision-based approach may aid scientists and regular people in the rapid and precise identification of herb plants. Therefore, this research suggests a vision-based smart method to recognize herb plants by creating a deep learning (DL) model. Although there is a wide variety of useful plants, we limit ourselves to just six from the Kaggle database: betel, curry, tulsi, mint, neem, and Indian beech. For each medicinal plant, we collected 500 images. The data undergo a process of resizing and augmentation to increase the sample size. For the fully automatic identification of medicinal leaves, the MobileNet DL model is selected. To determine the model's effectiveness, it must first be trained, then validated, and ultimately tested. The DL model is evaluated using measures including accuracy, precision, and recall. For this reason, the DL model was able to correctly identify medicinal leaves at an accuracy rate of 98.3%. After being thoroughly investigated, the DL model is uploaded to the cloud, and a mobile app is created for the realtime identification of medicinal leaves. To recognize leaf images, the built mobile app accesses the DL model on the cloud. The automated recognition of plants represents an extremely promising option for filling the taxonomic gap and gaining a lot of interest from the fields of botany and machine vision.
Indonesian Journal of Electrical Engineering and Computer Science, Jul 1, 2023
The "Smart Glasses" are made to make it easier for blind persons to read and de... more The "Smart Glasses" are made to make it easier for blind persons to read and decipher written English-language content. A blind people find it exceedingly challenging to travel alone, and they run the danger of getting lost and regular sticks won't allow the person to go around independently in public without things growing worse. The objective of our work is to help blind people communicate more easily by developing a smart assistive glasses using artificial intelligence. The function of the glasses is to read out any text picture as audio text, which can then be heard through a headset attached to the spectacles. OpenCV, optical character recognition and efficient and accurate scene text (EAST) detector were used to identify the text in the image; ultrasonic sensor in the glasses is used to calculate the distance to snap a clear picture. The motion sensor directs the blind to the lecture halls, classrooms, and laboratory locations using an radio frequency identification reader. The results shows that combination of optical character recognizer and EAST detector produced a fairly accurate result, demonstrating the potential of the glasses to recognize the text. Currently, the language supported by the glasses is English, and the distance covered is 40 to 150 cm.
Handbook of Research on Safe Disposal Methods of Municipal Solid Wastes for a Sustainable Environment
Eco-friendly environment concern contributes to the survival of life on earth. Monitoring chemica... more Eco-friendly environment concern contributes to the survival of life on earth. Monitoring chemicals produced by growth requires a multidisciplinary scientific approach. Climate change is a result of pollution and overuse, particularly in the air. Although government and industry have taken initiatives to limit air pollution, it is still necessary to check the quality of the air at ground level. The goal of this endeavour is to build intercommunication-based individual vehicle air pollution monitoring and identification by internet of things (IoT). Idling and accelerating conditions were recorded using tailpipe emission sensing. Authorities can act and assure upkeep if they are able to identify a car at a busy intersection; mobile connectivity enabled route and vehicle identification. In India, fewer people will die from air pollution because to data gathered in the cloud.
India ranks third in population around worldwide. Thus to handle transportation for such a large ... more India ranks third in population around worldwide. Thus to handle transportation for such a large population a good and a strong system is need. Indian railroad is the second largest transportation system around world. In the vicinity of 2.5 crores passenger on daily basis are served by Indian Railway. Therefore to handle such a huge crowd conveniently modern amelioration of technology has been selected exceptionally the reservation system to bring gratification, performance, capability and transparency. Gradually, it was observed that the outcome of such adoption has piggyback various confrontations such as new online Tatkal booking system policy i.e. only two tickets can be booked per IP address between 10 a.m. to 12 noon and polymorphous user IDs issue. Howbeit, various reformative measures have been taken on the above highlighted issues. Thus, this paper is attempt to provide a answer for above highlighted issues i.e. by using UID registration numbers for reducing multiple IDs al...
International Journal of Scientific & Technology Research, 2019
A proposed multi-stream forensic technique for performing forensic investigations in an electroni... more A proposed multi-stream forensic technique for performing forensic investigations in an electronic system includes capturing and associating multiple streams of information. The multi-streams refer network stream, storage stream, and virtual stream. The network stream contains a record of network activities such as traffic data, server logs, host activities details, and firewall data so on. A storage stream refers to data of storage media such as hard disk, memory, flash drive, and network area storages which record both read and write activities. A virtual stream refers to data of virtual machines, virtual servers, virtual memory, virtual drives and related sources. A comprehensive summary logs can be obtained with each network, storage, and virtual activities coordinated during particular time. To enable investigation for finding the suspicious events across network, storage, and virtual domains multi-stream forensic technique has been proposed. It achieves cloud security breach i...
Now a days health monitoring has become a crucial part of human lifestyle. Machine learning model... more Now a days health monitoring has become a crucial part of human lifestyle. Machine learning models can help us in predicting the disease beforehand for us and help us to fight it efficiently. Taking the capability of IOT technology into account, it is possible to overcome the difficulties. A raspberry pi powered device which will take the help of various ML algorithm to help us identify heart disease, diabetes disorder, skin disease. This device will take the help of various sensors like heart rate sensor, ECG sensor, camera module etc. to reduce the human intervention and give accurate input to the ML models for them to predict the result with more accuracy. These devices may increase the chances of surviving from unexpected diseases. This project is an innovative project as there is no existing system making the use of machine learning and IOT together for detecting a disease. This system can become a base for new system to come up which can detect and alert the user of their heal...
International Journal For Science Technology And Engineering, 2016
Our society relies on effective and efficient communication. Nowadays, with the help of internet ... more Our society relies on effective and efficient communication. Nowadays, with the help of internet means of communication are increased rapidly. Thus, people from different parts of world are getting close day by day. Apart from emails, social networking sites like Facebook, twitter became the central means through which people stay connected. Along with these general social networking sites, health related social networking sites are also gaining popularity. But, sharing a lot of information emerged with various problems like information privacy and security. This paper gives details about different issues related to information available online on social networking sites. Also, ‘how health related social networking sites are adding more threats to privacy of user?’ is shown.
A B S T R A C T In real world, Sending data over network without any alteration is very important... more A B S T R A C T In real world, Sending data over network without any alteration is very important. The commonly used technique for providing confidentiality of transmitted data is cryptography. In this paper, We are going to use same concept of encrypt and Decrypt the data but new technique using a key as Armstrong numbers and Cued Click Point as the graphical password generation for Authentication. Three set of keys (i.e. Armstrong number, CCP, Server side key) are used to provide secure data transmission with the CCP acting as vital security element thereby providing authentication. We use security of Cued Click Points (CCP), a cued recall graphical password technique. Users click on one point per image for a sequence of images. The next image is based on the previous click-point. We also suggest that CCP provides greater security than Pass Points because the number of images increases the workload for attackers.
International Journal of Innovative Technology and Exploring Engineering, 2019
Multisource cloud log forensics (MCLF) strengthens the investigation method by means of detecting... more Multisource cloud log forensics (MCLF) strengthens the investigation method by means of detecting the malicious behavior of hackers thru deep cloud log evaluation. But, the accessibility attributes of cloud logs thwarts accomplishing the purpose to analyze cloud logs. Accessibility consists of the productions of cloud log get admission to, selection of suitable cloud log file, cloud log information integrity, and cloud logs trustworthiness. Hence, forensic investigators of cloud log files are dependent on cloud provider vendors (CSPs) to get entry to of diverse cloud logs. Accessing cloud logs from outside the cloud without depending at the CSPs is once more a hard, whereas the boom in cloud assaults has improved the need for MCLF to research the malicious activities of attackers. Criminals are easily hiding incriminating files within the cloud system and altering the log contents. Hence lock mechanism has been added to MCLF technique. This paper reviews the MCLF with lock technique...
Computer Engineering and Intelligent Systems, Oct 19, 2011
Many electronic mail systems are now available. Interconnecting these largely independent systems... more Many electronic mail systems are now available. Interconnecting these largely independent systems broadens the communities of users that can communicate electronically. When the systems are at different sites, the existing style of loose interconnection is sufficient. But when a local site has multiple mail systems, a user cannot easily perform tasks such as reading mail from all the systems during a single session. An integrated local mail environment that lets a user perform such tasks easily desirable.Such an integrated environment should have three properties. First, it should be inexpensive to implement the environment. Replacing the existing mail systems with a single, new system is too expensive. Second, it should be inexpensive to integrate a new mail system into the environment. As new systems are acquired, it should be easy to use their mail services effectively. Third, it should be possible to integrate diverse classes of mail systems into the environment. We have designed and implemented research on Heterogeneous Mail System as an environment with exactly these properties.
Computer Engineering and Intelligent Systems, 2011
In this paper, we present a project that would provide twitter like website for a university purp... more In this paper, we present a project that would provide twitter like website for a university purpose intended to use by the students, professors of the colleges in the University and a University Admin. The University admin will provide with all the necessary notifications regarding the events in the University for the students and professors like result notifications, timetables, events, fees, important dates, etc. The students and staff can follow the University Admin and get the necessary notifications just by logging into their accounts and viewing their home pages. Moreover, this project would be deployed on the cloud which would make this website available 24x7 and will reduce the overhead cost of maintaining the expensive servers for the University. This project aims at utilizing the social networking and technology for educational purposes and to improve the student-teacher interaction off the classroom.
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Papers by Kalyan Bamane