Pub Date : 2023-01-01DOI: 10.1504/ijnt.2023.134006
Neha Singh, Deepali Virmani, Gaurav Dhiman, S. Vimal
{"title":"Multi to binary class size based imbalance handling technique in wireless sensor networks","authors":"Neha Singh, Deepali Virmani, Gaurav Dhiman, S. Vimal","doi":"10.1504/ijnt.2023.134006","DOIUrl":"https://doi.org/10.1504/ijnt.2023.134006","url":null,"abstract":"","PeriodicalId":14128,"journal":{"name":"International Journal of Nanotechnology","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136209659","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The Internet of Things (IoT) is a cutting-edge phenomenon in the digital realm, wherein objects connect, and processes are autonomous and managed via the internet. In this research, an architecture for integrating the IoT with crop production is designed, and various measurements and techniques for crop monitoring utilising cloud computing have been employed. The method enables real-time evaluation of data gathered from sensors put in crops that delivers a response for the farmer as required for crop production monitoring and saves the farmer's time as well as energy. The data acquired in the fields are saved in the cloud and analysed to allow for automation using IoT devices. The experimental results show the specifics of soil moisture, temperature, humidity, and water use in the field through a monitoring system, as well as managing with the farmer's input.
{"title":"Integrated agriculture IoT based farm monitoring and management systems","authors":"Satish Sampatrao Salunkhe, Aarti Amod Agarkar, Mandar Karyakarte, Jaison Mulerikkal, Prathiba Jonnala, Divyendu Kumar Mishra","doi":"10.1504/ijnt.2023.134014","DOIUrl":"https://doi.org/10.1504/ijnt.2023.134014","url":null,"abstract":"The Internet of Things (IoT) is a cutting-edge phenomenon in the digital realm, wherein objects connect, and processes are autonomous and managed via the internet. In this research, an architecture for integrating the IoT with crop production is designed, and various measurements and techniques for crop monitoring utilising cloud computing have been employed. The method enables real-time evaluation of data gathered from sensors put in crops that delivers a response for the farmer as required for crop production monitoring and saves the farmer's time as well as energy. The data acquired in the fields are saved in the cloud and analysed to allow for automation using IoT devices. The experimental results show the specifics of soil moisture, temperature, humidity, and water use in the field through a monitoring system, as well as managing with the farmer's input.","PeriodicalId":14128,"journal":{"name":"International Journal of Nanotechnology","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136257712","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.1504/ijnt.2023.10056468
Shilpa Sharma, R. Malhotra, Anurag Sharma
{"title":"An improved model for unsupervised voice activity detection","authors":"Shilpa Sharma, R. Malhotra, Anurag Sharma","doi":"10.1504/ijnt.2023.10056468","DOIUrl":"https://doi.org/10.1504/ijnt.2023.10056468","url":null,"abstract":"","PeriodicalId":14128,"journal":{"name":"International Journal of Nanotechnology","volume":"1 1","pages":""},"PeriodicalIF":0.5,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66786826","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.1504/ijnt.2023.10056473
E. Srinivasa Reddy, A. Suneetha
{"title":"Improved generalised fuzzy peer group with modified trilateral filter to remove mixed impulse and adaptive white Gaussian noise from colour images","authors":"E. Srinivasa Reddy, A. Suneetha","doi":"10.1504/ijnt.2023.10056473","DOIUrl":"https://doi.org/10.1504/ijnt.2023.10056473","url":null,"abstract":"","PeriodicalId":14128,"journal":{"name":"International Journal of Nanotechnology","volume":"1 1","pages":""},"PeriodicalIF":0.5,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66786942","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.1504/ijnt.2023.134035
Yanfang Ma, Chunmeng Lu, Cunhong Li
{"title":"Design of IoT aided prevention and control platform for major public health emergencies","authors":"Yanfang Ma, Chunmeng Lu, Cunhong Li","doi":"10.1504/ijnt.2023.134035","DOIUrl":"https://doi.org/10.1504/ijnt.2023.134035","url":null,"abstract":"","PeriodicalId":14128,"journal":{"name":"International Journal of Nanotechnology","volume":"140 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136209386","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.1504/ijnt.2023.134032
Tripti Sharma, Amar Kumar Mohapatra, Geetam Tomar
Wireless sensor network data are frequently erroneous due to inevitable environmental factors like intrusion attacks, signal weakness, and noise, which may vary depending on the situation. Outlier detection, often known as anomaly detection, is a technique for detecting anomalies and recognising noisy data in the aforementioned scenarios. In the proposed work, efforts have been made to design a routing algorithm that can detect anomalies based on LOF and SVM and is more energy-efficient. The primary objective of the proposed algorithm is to design an energy-efficient routing algorithm that is capable of detecting anomalies present in the environment with improved stability period and overall network lifetime. The sensor dataset provided by the Intel Berkeley Research Lab was simulated to assess the suggested approach's efficiency and competency. The simulation results reveal that this identification of anomalous nodes leads to the development of a more energy-efficient routing algorithm with a better stable region and a higher network lifetime. The proposed algorithm gives the best result with LOF. However, SVM with a gamma of 0.0005 could be used successfully in densely deployed wireless sensor networks. The LOF gives a 98% accuracy in finding the anomaly present in the dataset chosen for the simulation.
{"title":"A novel SVM and LOF-based outlier detection routing algorithm for improving the stability period and overall network lifetime of WSN","authors":"Tripti Sharma, Amar Kumar Mohapatra, Geetam Tomar","doi":"10.1504/ijnt.2023.134032","DOIUrl":"https://doi.org/10.1504/ijnt.2023.134032","url":null,"abstract":"Wireless sensor network data are frequently erroneous due to inevitable environmental factors like intrusion attacks, signal weakness, and noise, which may vary depending on the situation. Outlier detection, often known as anomaly detection, is a technique for detecting anomalies and recognising noisy data in the aforementioned scenarios. In the proposed work, efforts have been made to design a routing algorithm that can detect anomalies based on LOF and SVM and is more energy-efficient. The primary objective of the proposed algorithm is to design an energy-efficient routing algorithm that is capable of detecting anomalies present in the environment with improved stability period and overall network lifetime. The sensor dataset provided by the Intel Berkeley Research Lab was simulated to assess the suggested approach's efficiency and competency. The simulation results reveal that this identification of anomalous nodes leads to the development of a more energy-efficient routing algorithm with a better stable region and a higher network lifetime. The proposed algorithm gives the best result with LOF. However, SVM with a gamma of 0.0005 could be used successfully in densely deployed wireless sensor networks. The LOF gives a 98% accuracy in finding the anomaly present in the dataset chosen for the simulation.","PeriodicalId":14128,"journal":{"name":"International Journal of Nanotechnology","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136209642","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.1504/ijnt.2023.134007
Bradha Madhavan, A. Suvitha, Nagaraj Balakrishnan, Ananth Steephen, P. Ajay
{"title":"Optimising pharmacokinetics via ADMET, bioactivity of Zr substituted samarium-doped ceria nanomaterials","authors":"Bradha Madhavan, A. Suvitha, Nagaraj Balakrishnan, Ananth Steephen, P. Ajay","doi":"10.1504/ijnt.2023.134007","DOIUrl":"https://doi.org/10.1504/ijnt.2023.134007","url":null,"abstract":"","PeriodicalId":14128,"journal":{"name":"International Journal of Nanotechnology","volume":"84 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136209651","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Processing improves microbiological profile of food, but also introduces carcinogenic compounds, such as PAHs in food items. It has been noticed that generation of these carcinogenic compounds can be reduced by the marination process. There is a difficulty to check PAHs levels and make comparison of results when a variety of variables are involved. The study aimed to analyse the concentration of PAHs standards in black and brown quail meat, checked the effect of different recipes (in which different spices are used), and also compared the recipe-wise PAHs concentration. This study also focused to compare the PAHs values in both quails (brown and black) as well as their PAHs results with the previous rabbit study. PAHs were analysed by gas chromatography mass spectrometry from 42 samples of black and brown quail meat samples. The maximum level of naphthalene was noticed in recipe V (country fried kebab) (1.71 μg/g), recipe IV (chapli kebab) (1.38 μg/g) and recipe III (gram flour kebab) (1.01 μg/g) of brown quail. The mean naphthalene concentration in raw sample was 0.81 μg/g for black quail and 0.85 μg/g for brown quail. Levels of PAHs in raw samples were dependent on contamination of environment. The lowest concentration of naphthalene was noticed in recipe II (cocktail kebab) in both quail. Concentrations of phenanthrene, fluoranthene and pyrene were lower than naphthalene. Content of anthracene was not observed in any sample. Heavy PAHs were not detected in any samples of quail and rabbit meat. This is first effort to check the PAHs concentration in quail meat. This study can provide a preliminary guideline to food industry that black quail is the best meat for consumers due to its lower PAHs range rather than brown quail.
{"title":"Gas chromatography-mass spectrometry determination of polycyclic aromatic hydrocarbons in oil fried quail meat vs. rabbit meat","authors":"Rabia Siddique, Amna Sarfraz, Ameer Fawad Zahoor, Shazia Naheed, Muhammad Faisal Manzoor","doi":"10.1504/ijnt.2023.134025","DOIUrl":"https://doi.org/10.1504/ijnt.2023.134025","url":null,"abstract":"Processing improves microbiological profile of food, but also introduces carcinogenic compounds, such as PAHs in food items. It has been noticed that generation of these carcinogenic compounds can be reduced by the marination process. There is a difficulty to check PAHs levels and make comparison of results when a variety of variables are involved. The study aimed to analyse the concentration of PAHs standards in black and brown quail meat, checked the effect of different recipes (in which different spices are used), and also compared the recipe-wise PAHs concentration. This study also focused to compare the PAHs values in both quails (brown and black) as well as their PAHs results with the previous rabbit study. PAHs were analysed by gas chromatography mass spectrometry from 42 samples of black and brown quail meat samples. The maximum level of naphthalene was noticed in recipe V (country fried kebab) (1.71 μg/g), recipe IV (chapli kebab) (1.38 μg/g) and recipe III (gram flour kebab) (1.01 μg/g) of brown quail. The mean naphthalene concentration in raw sample was 0.81 μg/g for black quail and 0.85 μg/g for brown quail. Levels of PAHs in raw samples were dependent on contamination of environment. The lowest concentration of naphthalene was noticed in recipe II (cocktail kebab) in both quail. Concentrations of phenanthrene, fluoranthene and pyrene were lower than naphthalene. Content of anthracene was not observed in any sample. Heavy PAHs were not detected in any samples of quail and rabbit meat. This is first effort to check the PAHs concentration in quail meat. This study can provide a preliminary guideline to food industry that black quail is the best meat for consumers due to its lower PAHs range rather than brown quail.","PeriodicalId":14128,"journal":{"name":"International Journal of Nanotechnology","volume":"387 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136209658","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.1504/ijnt.2023.10059566
Geetam Tomar, Tripti Sharma, Amar Kumar Mohapatra
{"title":"A novel SVM and LOF-based outlier detection routing algorithm for improving the stability period and overall network lifetime of WSN","authors":"Geetam Tomar, Tripti Sharma, Amar Kumar Mohapatra","doi":"10.1504/ijnt.2023.10059566","DOIUrl":"https://doi.org/10.1504/ijnt.2023.10059566","url":null,"abstract":"","PeriodicalId":14128,"journal":{"name":"International Journal of Nanotechnology","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135955976","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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