A Novel Approach for Lung Lesion Segmentation Using Optimization Technique

Venkatesh, C.; Bojja, Polaiah

doi:10.29042/2019-4832-4837

Cited by 9 publications

(5 citation statements)

References 8 publications

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“…The reason for choosing geolocation based is that when we put many dustbins , gsm / gps won't be as accurate as needed and also the power consumption is higher without any other benefits . So instead we chose this as it can provide benefits like real time monitoring through the web , map based location / level description etc [12]- [13].…”

Section: 2mentioning

confidence: 99%

Development of Solar-Powered of Sensors Based Smart Waste Monitoring System

Bojja¹

2021

TURCOMAT

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Dustbins (or Garbage Bins, Trash Cans, whatever you name them) are small containers of plastic or metal used on a temporary basis to store trash (or waste). They are also used for the collection of waste in houses, workplaces, highways, parks, etc. Littering is a major crime in some countries, and public waste bins are also the only way to dispose of small waste. Usually, using different bins for handling wet or dry, recyclable or non-recyclable waste is a common practice. From an ETS perspective, smart waste collection can help municipalities and private waste management companies avoid the need for collection sites, waste disposal facilities and waste treatment plants. As communities increasingly rely on smart city technology to improve, among other things, the quality of life of their residents and the environment, city leaders recognize that smart waste management can also help them achieve sustainability goals such as zero waste and improve services to residents, while improving service to residents. As an example, Development of Some solar-powered bins and recycling bins are already equipped with sensors that analyze data on what is disposed of or recycled and notify collectors when the bin is too full and needs to be picked up. These developed Smart waste management solutions use sensors placed in waste bins to measure levels, notify municipal waste collection services, when the bins are ready to be emptied, and also notify municipal waste collection with a ton has been emptied. Therefore, the solar-powered of sensors based smart waste monitoring system is more and more useful to the current smart cities policies under the smart city project works.

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Section: 2mentioning

confidence: 99%

Development of Solar-Powered of Sensors Based Smart Waste Monitoring System

Bojja¹

2021

TURCOMAT

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“…what's more, from its source code on the Raspberry Pi advancement board It has been ordered. Again, the use of OpenCV library in this study to Set the color values of the object to be detected as a threshold [5][6][7][8][9][10][11].…”

Section: Opencv Librarymentioning

confidence: 99%

“…Also, it is ordinarily used to limit articles and boondocks in pictures [14]. Ordinarily it is performed with various methods, for example, thresholding [6], Region based or locale developing and some other wavelet changes. Yet, all the division methods don't fragment the influenced part precisely.…”

Section: Opencv Librarymentioning

confidence: 99%

Development of Conventional Controller Based on Image Processing for Monitoring and Controlling Burning Zone Temperature in a Cement Plant in Rotary Kiln Process Through IOT

Bojja¹,

Prasanna²,

Kumari³

et al. 2021

I2M

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In the cement factories, a rotary kiln is a pyro-processing device that is used to raise the temperature of the materials in a continuous process. Temperature monitoring is an essential process in the rotary kiln to yield high quality clinker and it has been implemented using various image processing techniques. In this paper we are measuring and controlling the temperature of rotational kiln in cement industry to get proper clinker ouput. Burning zone flame images are captured using CCD(Charge Coupled Device) camera and are processed using image processing with PID(Proportion Integration and Derivative) controller and which are programmed on raspberry pi card with the help of python language, also the captured images and attributes are transferred to authorized mobile/pc through Raspberry PI by selecting the IP address of mobile or PC. All the attributes received in the mobile in the form of web page the according to the object following data temperature controlled and object is ceaselessly followed to get the proper clinker output. Picture handling calculation with Open cv, as indicated by the calculation the edge estimation of the camera is settled. The frame value of the camera is set. Conversion from RGB color space to HSV color space is achieved and the reference color threshold value is determined. The range esteem estimated by the camera is contrasted and the reference esteem. In this study temp of rotational kiln is measured effectively using PID controller, this controller continuously control the temperature of revolving kiln by varying the i/p images of burning zone at finally fix one flame which is giving 1400degc.

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“…C.Venkatesh et al [17] in 2019 projected a detection scheme by genetic approach .By this approach 90 percent precession.…”

Section: Related Workmentioning

confidence: 99%

Lung Cancer Detection using Bio-Inspired Algorithm in CT Scans and Secure Data Transmission through IoT Cloud

Venkatesh¹,

Bojja²

2020

IJACSA

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Primary recognition of pulmonary cancer nodules eloquently increases the odds of survival, also leads it solider problem to resolve, as it often relies on a tomography scan filmic examination. By increasing the possibility of effective treatment, earlier tumor diagnosis decreases lung cancer mortality. Radiologists usually diagnose lung cancer on medical images by a systematic analysis that consumes more time and is unreliable often, because of the substantial improvement in the transmission of data in the healthcare sector, the protection and integrity of medical data has been a huge problem for healthcare applications. This study utilizes computational intelligence techniques. For detection and data transmission, a novel Hybrid model is therefore proposed in this paper. Two steps are involved in the proposed method where diverse image processing procedures are used to detect cancer in the first step using MATLAB and data transfer to authorized persons via the IoT cloud in the second stage. The simulated steps include preprocessing, segmentation by Otsu thresholding along with swarm intelligence algorithm, extraction of features by local binary pattern and classification using the support vector machine (SVM). This work demonstrates the dominance of swarmintelligent framework over the conventional algorithms in terms of performance metrics like sensitivity, accuracy and specificity as well as training time. The tests carried out show that the model built can achieve up to 92.96 percent sensitivity, 93.53 percent accuracy and 98.52 percent specificity.

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A Novel Approach for Lung Lesion Segmentation Using Optimization Technique

Cited by 9 publications

References 8 publications

Development of Solar-Powered of Sensors Based Smart Waste Monitoring System

Development of Solar-Powered of Sensors Based Smart Waste Monitoring System

Development of Conventional Controller Based on Image Processing for Monitoring and Controlling Burning Zone Temperature in a Cement Plant in Rotary Kiln Process Through IOT

Lung Cancer Detection using Bio-Inspired Algorithm in CT Scans and Secure Data Transmission through IoT Cloud

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