sathya preiya | Anna University (original) (raw)
Papers by sathya preiya
Springer eBooks, Nov 7, 2019
Magnetic resonance imaging (MRI) is adjacent to nature and a multi-modality practice which provid... more Magnetic resonance imaging (MRI) is adjacent to nature and a multi-modality practice which provides the complementary in sequence about dissimilar aspects of diseases. As a competent image (CET) contrast enhancement tool, (AGC) adaptive gamma correction control which was relating with gamma parameter and (CDF) cumulative distribution function in the conventional method which is to engender the function of the pixel gray levels contained by an image. AGC should deals well within the most dimmed images, but fails for worldwide intense images and also the dimmed images within the local bright regions. Such two categories of images which are observed from MRIs, the brightness-distorted images are widespread in genuine scenario, such as to the improper exposure and to the white object regions. To attenuate such kind of deficiencies here we intend an improved the aspects by two methods which are (RIC) region by iteration method of convolution and (S-KC) segmentation by k-levels of clustering. In this proposed work the above given two methods are used by iteration method and the other segmentation in multiple levels of clustering which is to enhance the required response of the MRIs. Both the levels and methods are analyzed in a closed system which to eliminate the unwanted signals and to get the better performance in the MRIs imaging.
Fusion: Practice and Applications, 2023
Given the increasing importance of technology in meeting human needs, its utilization has become ... more Given the increasing importance of technology in meeting human needs, its utilization has become crucial. In contemporary democracies, where public trust in governments is declining and elections play a pivotal role, the widespread adoption of technology has led to new challenges. Elections hold significant importance as they determine the future leaders of countries or organizations. However, certain computerized voting systems have faced criticism for their lack of transparency. Establishing public trust in the government is a formidable task due to the lack of transparency and susceptibility to exploitation in existing voting procedures. Both traditional and current digital voting systems are ineffective due to their vulnerabilities. The main objective is to address issues in conventional and electronic voting systems, including errors and unfairness that may arise during the voting process. Integrating blockchain technology into the electoral process can ensure fair elections an...
Diagnostics
The World Health Organization (WHO) has identified that diabetes mellitus (DM) is one of the most... more The World Health Organization (WHO) has identified that diabetes mellitus (DM) is one of the most prevalent disease worldwide. Individuals with DM have a higher risk of mortality, and it is crucial to prioritize the treatment of foot ulcers, which is a significant complication associated with the disease, as they lead to the development of plantar ulcers, which results in the need to amputate part of the foot or leg. People with diabetes are at risk of experiencing various complications, such as heart disease, eye problems, kidney dysfunction, nerve damage, skin issues, foot ulcers, and dental diseases. Unawareness of the risk associated with diabetic foot ulcers (DFU) is a significant contributing factor to the mortality of diabetic patients. Evolving technological advancements such as deep learning techniques can be used to predict the symptoms of diabetic foot ulcers as early as possible, which helps to provide effective treatment to DM patients. This research introduces a method...
Pneumonia is an infection that inflames the air sacs in one or both lungs. The air sacs may fill ... more Pneumonia is an infection that inflames the air sacs in one or both lungs. The air sacs may fill with fluid or pus (purulent material), causing cough with phlegm or pus, fever, chills, and difficulty breathing. A variety of organisms, including bacteria, viruses and fungi, can cause pneumonia. It is an infection of the lungs with a range of possible causes. It can be a serious and life-threatening disease. It normally starts with a bacterial, viral, or fungal infection. The lungs become inflamed, and the tiny air sacs, or alveoli, inside the lungs fill up with fluid. Over 150 million people get infected with pneumonia on an annual basis especially children under 5 years old. COVID-19 pneumonia is a serious illness that can be deadly. Early detection of Pneumonia and COVID-19 is crucial in reducing mortality. The rich collection of annotated datasets piloted the robustness of deep learning techniques to effectuate the implementation of diverse medical imaging tasks. This proposed system involves detection of Pneumonia and COVID-19 based on deep learning which is proposed for thoracic X-Ray images.
Emerging Trends in Computing and Expert Technology, 2019
Magnetic resonance imaging (MRI) is adjacent to nature and a multi-modality practice which provid... more Magnetic resonance imaging (MRI) is adjacent to nature and a multi-modality practice which provides the complementary in sequence about dissimilar aspects of diseases. As a competent image (CET) contrast enhancement tool, (AGC) adaptive gamma correction control which was relating with gamma parameter and (CDF) cumulative distribution function in the conventional method which is to engender the function of the pixel gray levels contained by an image. AGC should deals well within the most dimmed images, but fails for worldwide intense images and also the dimmed images within the local bright regions. Such two categories of images which are observed from MRIs, the brightness-distorted images are widespread in genuine scenario, such as to the improper exposure and to the white object regions. To attenuate such kind of deficiencies here we intend an improved the aspects by two methods which are (RIC) region by iteration method of convolution and (S-KC) segmentation by k-levels of cluster...
Speech and text is the main medium for human communication. A person needs vision to access the i... more Speech and text is the main medium for human communication. A person needs vision to access the information in a text. However those who have poor vision can gather information from voice. This paper proposes a camera based assistive text reading to help visually impaired person in reading the text present on the captured image. The faces can also be detected when a person enter into the frame by the mode control. The proposed idea involves text extraction from scanned image using Tesseract Optical Character Recognition (OCR) and converting the text to speech by e-Speak tool, a process which makes visually impaired persons to read the text. This is a prototype for blind people to recognize the products in real world by extracting the text on image and converting it into speech. Computer vision is one of the emerging technologies that can be used to aid visually impaired people for navigation (both indoor and outdoor), accessing printed material, etc. This paper describes an approach...
Cloud computing is an emerging computing paradigm in which resources of the computing infrastruct... more Cloud computing is an emerging computing paradigm in which resources of the computing infrastructure are provided as services over the Internet. As promising as it is, this paradigm also brings forth many new challenges for data security and access control when users outsource sensitive data for sharing on cloud servers, which are not within the same trusted domain as data owners. To keep sensitive user data confidential against untrusted servers, existing solutions usually apply cryptographic methods by disclosing data decryption keys only to authorized users. However, in doing so, these solutions inevitably introduce a heavy computation overhead on the data owner for key distribution and data management when finegrained data access control is desired, and thus do not scale well. The problem of simultaneously achieving fine-grainedness, scalability, and data confidentiality of access control actually still remains unresolved. This paper addresses this challenging open issue by, on ...
International Journal of Computer Trends and Technology, 2014
Health care is the diagnosis, treatment, and prevention of disease, illness, injury, and other ph... more Health care is the diagnosis, treatment, and prevention of disease, illness, injury, and other physical and mental impairments in humans. Health care is delivered by practitioners in medicine, chiropractic, dentistry, nursing, pharmacy, allied health, and other care providers. E-Health tools allow the construction of patientcentric Healthcare Service Providers that aim to support patients to access health related information, to prevent their possible diseases and to monitor their health status. The system builds a profile for each patient and uses it to detect Healthcare Service Providers delivering E-Health services potentially capable of satisfying the patient needs. The proposed system is HL7-aware represents both patient and service information according to the directives of HL7, the information management standard adopted in medical context. Once patients submit a query the proposed system retrieves a set of relevant services which satisfy the need of the patient. However EHea...
Abstract: Health care is the diagnosis, treatment, and prevention of disease, illness, injury, an... more Abstract: Health care is the diagnosis, treatment, and prevention of disease, illness, injury, and other physical and mental impairments in humans. Health care is delivered by practitioners in medicine, chiropractic, dentistry, nursing, pharmacy, allied health, and other care providers. E-Health tools allow the construction of patientcentric Healthcare Service Providers that aim to support patients to access health related information, to prevent their possible diseases and to monitor their health status. The system builds a profile for each patient and uses it to detect Healthcare Service Providers delivering E-Health services potentially capable of satisfying the patient needs. The proposed system is HL7-aware represents both patient and service information according to the directives of HL7, the information management standard adopted in medical context. Once patients submit a query the proposed system retrieves a set of relevant services which satisfy the need of the patient. Ho...
Springer eBooks, Nov 7, 2019
Magnetic resonance imaging (MRI) is adjacent to nature and a multi-modality practice which provid... more Magnetic resonance imaging (MRI) is adjacent to nature and a multi-modality practice which provides the complementary in sequence about dissimilar aspects of diseases. As a competent image (CET) contrast enhancement tool, (AGC) adaptive gamma correction control which was relating with gamma parameter and (CDF) cumulative distribution function in the conventional method which is to engender the function of the pixel gray levels contained by an image. AGC should deals well within the most dimmed images, but fails for worldwide intense images and also the dimmed images within the local bright regions. Such two categories of images which are observed from MRIs, the brightness-distorted images are widespread in genuine scenario, such as to the improper exposure and to the white object regions. To attenuate such kind of deficiencies here we intend an improved the aspects by two methods which are (RIC) region by iteration method of convolution and (S-KC) segmentation by k-levels of clustering. In this proposed work the above given two methods are used by iteration method and the other segmentation in multiple levels of clustering which is to enhance the required response of the MRIs. Both the levels and methods are analyzed in a closed system which to eliminate the unwanted signals and to get the better performance in the MRIs imaging.
Fusion: Practice and Applications, 2023
Given the increasing importance of technology in meeting human needs, its utilization has become ... more Given the increasing importance of technology in meeting human needs, its utilization has become crucial. In contemporary democracies, where public trust in governments is declining and elections play a pivotal role, the widespread adoption of technology has led to new challenges. Elections hold significant importance as they determine the future leaders of countries or organizations. However, certain computerized voting systems have faced criticism for their lack of transparency. Establishing public trust in the government is a formidable task due to the lack of transparency and susceptibility to exploitation in existing voting procedures. Both traditional and current digital voting systems are ineffective due to their vulnerabilities. The main objective is to address issues in conventional and electronic voting systems, including errors and unfairness that may arise during the voting process. Integrating blockchain technology into the electoral process can ensure fair elections an...
Diagnostics
The World Health Organization (WHO) has identified that diabetes mellitus (DM) is one of the most... more The World Health Organization (WHO) has identified that diabetes mellitus (DM) is one of the most prevalent disease worldwide. Individuals with DM have a higher risk of mortality, and it is crucial to prioritize the treatment of foot ulcers, which is a significant complication associated with the disease, as they lead to the development of plantar ulcers, which results in the need to amputate part of the foot or leg. People with diabetes are at risk of experiencing various complications, such as heart disease, eye problems, kidney dysfunction, nerve damage, skin issues, foot ulcers, and dental diseases. Unawareness of the risk associated with diabetic foot ulcers (DFU) is a significant contributing factor to the mortality of diabetic patients. Evolving technological advancements such as deep learning techniques can be used to predict the symptoms of diabetic foot ulcers as early as possible, which helps to provide effective treatment to DM patients. This research introduces a method...
Pneumonia is an infection that inflames the air sacs in one or both lungs. The air sacs may fill ... more Pneumonia is an infection that inflames the air sacs in one or both lungs. The air sacs may fill with fluid or pus (purulent material), causing cough with phlegm or pus, fever, chills, and difficulty breathing. A variety of organisms, including bacteria, viruses and fungi, can cause pneumonia. It is an infection of the lungs with a range of possible causes. It can be a serious and life-threatening disease. It normally starts with a bacterial, viral, or fungal infection. The lungs become inflamed, and the tiny air sacs, or alveoli, inside the lungs fill up with fluid. Over 150 million people get infected with pneumonia on an annual basis especially children under 5 years old. COVID-19 pneumonia is a serious illness that can be deadly. Early detection of Pneumonia and COVID-19 is crucial in reducing mortality. The rich collection of annotated datasets piloted the robustness of deep learning techniques to effectuate the implementation of diverse medical imaging tasks. This proposed system involves detection of Pneumonia and COVID-19 based on deep learning which is proposed for thoracic X-Ray images.
Emerging Trends in Computing and Expert Technology, 2019
Magnetic resonance imaging (MRI) is adjacent to nature and a multi-modality practice which provid... more Magnetic resonance imaging (MRI) is adjacent to nature and a multi-modality practice which provides the complementary in sequence about dissimilar aspects of diseases. As a competent image (CET) contrast enhancement tool, (AGC) adaptive gamma correction control which was relating with gamma parameter and (CDF) cumulative distribution function in the conventional method which is to engender the function of the pixel gray levels contained by an image. AGC should deals well within the most dimmed images, but fails for worldwide intense images and also the dimmed images within the local bright regions. Such two categories of images which are observed from MRIs, the brightness-distorted images are widespread in genuine scenario, such as to the improper exposure and to the white object regions. To attenuate such kind of deficiencies here we intend an improved the aspects by two methods which are (RIC) region by iteration method of convolution and (S-KC) segmentation by k-levels of cluster...
Speech and text is the main medium for human communication. A person needs vision to access the i... more Speech and text is the main medium for human communication. A person needs vision to access the information in a text. However those who have poor vision can gather information from voice. This paper proposes a camera based assistive text reading to help visually impaired person in reading the text present on the captured image. The faces can also be detected when a person enter into the frame by the mode control. The proposed idea involves text extraction from scanned image using Tesseract Optical Character Recognition (OCR) and converting the text to speech by e-Speak tool, a process which makes visually impaired persons to read the text. This is a prototype for blind people to recognize the products in real world by extracting the text on image and converting it into speech. Computer vision is one of the emerging technologies that can be used to aid visually impaired people for navigation (both indoor and outdoor), accessing printed material, etc. This paper describes an approach...
Cloud computing is an emerging computing paradigm in which resources of the computing infrastruct... more Cloud computing is an emerging computing paradigm in which resources of the computing infrastructure are provided as services over the Internet. As promising as it is, this paradigm also brings forth many new challenges for data security and access control when users outsource sensitive data for sharing on cloud servers, which are not within the same trusted domain as data owners. To keep sensitive user data confidential against untrusted servers, existing solutions usually apply cryptographic methods by disclosing data decryption keys only to authorized users. However, in doing so, these solutions inevitably introduce a heavy computation overhead on the data owner for key distribution and data management when finegrained data access control is desired, and thus do not scale well. The problem of simultaneously achieving fine-grainedness, scalability, and data confidentiality of access control actually still remains unresolved. This paper addresses this challenging open issue by, on ...
International Journal of Computer Trends and Technology, 2014
Health care is the diagnosis, treatment, and prevention of disease, illness, injury, and other ph... more Health care is the diagnosis, treatment, and prevention of disease, illness, injury, and other physical and mental impairments in humans. Health care is delivered by practitioners in medicine, chiropractic, dentistry, nursing, pharmacy, allied health, and other care providers. E-Health tools allow the construction of patientcentric Healthcare Service Providers that aim to support patients to access health related information, to prevent their possible diseases and to monitor their health status. The system builds a profile for each patient and uses it to detect Healthcare Service Providers delivering E-Health services potentially capable of satisfying the patient needs. The proposed system is HL7-aware represents both patient and service information according to the directives of HL7, the information management standard adopted in medical context. Once patients submit a query the proposed system retrieves a set of relevant services which satisfy the need of the patient. However EHea...
Abstract: Health care is the diagnosis, treatment, and prevention of disease, illness, injury, an... more Abstract: Health care is the diagnosis, treatment, and prevention of disease, illness, injury, and other physical and mental impairments in humans. Health care is delivered by practitioners in medicine, chiropractic, dentistry, nursing, pharmacy, allied health, and other care providers. E-Health tools allow the construction of patientcentric Healthcare Service Providers that aim to support patients to access health related information, to prevent their possible diseases and to monitor their health status. The system builds a profile for each patient and uses it to detect Healthcare Service Providers delivering E-Health services potentially capable of satisfying the patient needs. The proposed system is HL7-aware represents both patient and service information according to the directives of HL7, the information management standard adopted in medical context. Once patients submit a query the proposed system retrieves a set of relevant services which satisfy the need of the patient. Ho...