Himanshu Arora - Academia.edu (original) (raw)

Papers by Himanshu Arora

Vaccines

The dropout rate is one of the determinants of immunization coverage and program performance, pro... more The dropout rate is one of the determinants of immunization coverage and program performance, program continuity, and follow-up. The dropout rate refers to the proportion of vaccine recipients who did not finish their vaccination schedules, and it is determined by comparing the number of infants who started the schedule to the number who completed it. It is the rate difference between the first and final dosage or the rate difference between the first vaccination and the last vaccine dropout; thus, it denotes that the first recommended dose of vaccine was received, but that the subsequently recommended dose was missed. In India, immunization coverage has shown significant improvements over the last two decades, but full immunization coverage has remained stagnant at 76.5%, of which 19.9% are partially immunized, and 3.6% are children who have been left out. In India, the Universal Immunization Programme (UIP) is challenged with cases related to dropout in immunization. Although immu...

2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

catalog images high-resolution geometry physically-based renderings Figure 1. ABO is a dataset of... more catalog images high-resolution geometry physically-based renderings Figure 1. ABO is a dataset of product images and realistic, high-resolution, physically-based 3D models of household objects.

Cureus

Background Infertility is defined as the inability to establish a pregnancy within 12 months of r... more Background Infertility is defined as the inability to establish a pregnancy within 12 months of regular and unprotected sexual intercourse. In response to these problems, assisted reproductive techniques (ARTs) have made profound impacts on the therapeutic management of infertility. However, in-vitro fertilization (IVF) success rates are confounded by several internal and external factors. A relatively new approach to embryo assessment is known as MitoScore (Igenomix, Miami, USA). As a result, we sough to evaluate whether MitoScore can help in predicting in IVF outcomes, and to assess the relationship between MitoScore, BMI, and body fat percentage in determining the success of ARTs. Methods Using retrospective cohort, a study population consisting of 166 women aged 26-43 who were undergoing ART with pre-implantation genetic testing for aneuploidy (PGT-A) was assessed to determine if MitoScore, BMI, and body fat percentage impacted IVF outcomes. Results MitoScore, BMI, and body fat percentage were significantly lower in pregnant women as compared to nonpregnant women. Furthermore, MitoScore was correlated with subclasses of IVF outcomes (delivery, biochemical pregnancy, and spontaneous abortion) and was found to be positively correlated with BMI in patients with biochemical pregnancies. Conclusion Our findings suggest that MitoScore, BMI, and body fat percentage could act as critical parameters in determining the success of ART. However, the association between MitoScore, BMI, and body fat percentage does not appear to be a significant confounding factor to determine pregnancy outcome at this stage. Still, many factors need to be considered to establish the correlation reliably.

Microorganisms

Capsicum annuum L. is a significant horticulture crop known for its pungent varieties and used as... more Capsicum annuum L. is a significant horticulture crop known for its pungent varieties and used as a spice. The pungent character in the plant, known as capsaicinoid, has been discovered to have various health benefits. However, its production has been affected due to various exogenous stresses, including diseases caused by a soil-borne pathogen, Pythium spp. predominantly affecting the Capsicum plant in younger stages and causing damping-off, this pathogen can incite root rot in later plant growth stages. Due to the involvement of multiple Pythium spp. and their capability to disperse through various routes, their detection and diagnosis have become crucial. However, the quest for a point-of-care technology is still far from over. The use of an integrated approach with cultural and biological techniques for the management of Pythium spp. can be the best and most sustainable alternative to the traditionally used and hazardous chemical approach. The lack of race-specific resistance ge...

Vaccines

Our paper examines the key determinants of COVID-19 vaccination coverage in India and presents an... more Our paper examines the key determinants of COVID-19 vaccination coverage in India and presents an analytical framework to probe whether vaccine hesitancy, socioeconomic factors and multi-dimensional deprivations (MPI) play a role in determining COVID-19 vaccination uptake. Our exploratory analysis reveals that COVID-19 vaccine hesitancy has a negative and statistically significant impact on COVID-19 vaccination coverage. A percentage increase in vaccine hesitancy can lead to a decline in vaccination coverage by 30 percent. Similarly, an increase in the proportion of people living in multi-dimensional poverty reduces the COVID-19 vaccination coverage. A unit increase in MPI or proportion of people living in acute poverty leads to a mean decline in vaccination coverage by 50 percent. It implies that an increase in socioeconomic deprivation negatively impacts health outcomes, including vaccination coverage. We additionally demonstrated that gender plays a significant role in determinin...

arXiv (Cornell University), Apr 11, 2022

We present a graph variational autoencoder with a structured prior for generating the layout of i... more We present a graph variational autoencoder with a structured prior for generating the layout of indoor 3D scenes. Given the room type (e.g., living room or library) and the room layout (e.g., room elements such as floor and walls), our architecture generates a collection of objects (e.g., furniture items such as sofa, table and chairs) that is consistent with the room type and layout. This is a challenging problem because the generated scene should satisfy multiple constrains, e.g., each object should lie inside the room and two objects should not occupy the same volume. To address these challenges, we propose a deep generative model that encodes these relationships as soft constraints on an attributed graph (e.g., the nodes capture attributes of room and furniture elements, such as class, pose and size, and the edges capture geometric relationships such as relative orientation). The architecture consists of a graph encoder that maps the input graph to a structured latent space, and a graph decoder that generates a furniture graph, given a latent code and the room graph. The latent space is modeled with auto-regressive priors, which facilitates the generation of highly structured scenes. We also propose an efficient training procedure that combines matching and constrained learning. Experiments on the 3D-FRONT dataset show that our method produces scenes that are diverse and are adapted to the room layout.

National Academy Science Letters

The Journal of Sexual Medicine

Journal of Fungi, 2022

Fungal infections transmitted through the soil continue to pose a threat to a variety of horticul... more Fungal infections transmitted through the soil continue to pose a threat to a variety of horticultural and agricultural products, including tomato and chilli. The indiscriminate use of synthetic pesticides has resulted in a slew of unintended consequences for the surrounding ecosystem. To achieve sustainable productivity, experts have turned their attention to natural alternatives. Due to their biodegradability, varied mode of action, and minimal toxicity to non-target organisms, plant-derived protectants (PDPs) are being hailed as a superior replacement for plant pesticides. This review outlines PDPs’ critical functions (including formulations) in regulating soil-borne fungal diseases, keeping tomato and chilli pathogens in the spotlight. An in-depth examination of the impact of PDPs on pathogen activity will be a priority. Additionally, this review emphasises the advantages of the in silico approach over conventional approaches for screening plants’ secondary metabolites with targ...

18th International Conference on Pattern Recognition (ICPR'06), 2006

This paper presents an algorithm for multiscale image segmentation. Towards this, it proposes a n... more This paper presents an algorithm for multiscale image segmentation. Towards this, it proposes a new region model, that of a homogenous region surrounded by ramp discontinuities (a scenario usually encountered in real images). This paper presents the analysis of this model, leading to a robust algorithm for detection of ramp discontinuities in the image, and finally segmentation of the image at different photometric scales. The algorithm is further specialized for detecting very thin regions. The final segmentation algorithm can detect regions in the image, with varying photometric scales, sizes and arbitrary geometric properties. The properties of the algorithm are experimentally verified on synthetic and real images.

Prosthesis, 2021

The nature of immediate implant placement followed by an immediate restoration protocol makes it ... more The nature of immediate implant placement followed by an immediate restoration protocol makes it particularly suited to the anterior maxilla. In addition to saving treatment time and avoiding additional surgical procedures, this protocol has been reported to improve aesthetic outcomes by supporting the peri-implant tissues during the implant healing phase through the use of a provisional restoration. This case report documents the use of this protocol in a patient with a failing maxillary anterior tooth and reports on the soft and hard tissue changes over an observation period of 10 years. An implant was immediately placed after removal of a failing maxillary central incisor followed by the provision of a screw retained provisional crown on the same day. A definitive restoration was placed after a 3-month healing period. Not only did this protocol manage to maintain peri-implant bone levels over the 10-year follow-up period, excellent aesthetic outcomes and very limited soft tissue ...

F&S Reports, 2021

Objective: To study the beneficial effects of thyroid replacement therapy (TRT) on pregnancy outc... more Objective: To study the beneficial effects of thyroid replacement therapy (TRT) on pregnancy outcomes in patients with subclinical hypothyroidism (SCl hypoT) with respect to thyroid peroxidase (TPO) autoantibodies. Design: Retrospective study of 706 patients. Setting: Not applicable. Patient(s): The study evaluated 706 patients, who were divided into 3 cohorts: euthyroid patients, with pre-in vitro fertilization thyroid-stimulating hormone levels of <2.5 mIU/mL; patients with SCl hypoT, defined as thyroid-stimulating hormone levels of >2.5 mIU/mL and <4 mIU/mL, who were not treated; and patients with SCl hypoT who received TRT. The 3 cohorts were further subclassified into 2 groups, each based on TPO antibody levels. Intervention(s): The cohorts were compared for the effects of TRT on pregnancy outcomes. Main Outcome Measure(s): Identification of effects of TRT on assisted reproductive technology outcomes. Result(s): Patients with SCl hypoT had significantly fewer positive pregnancy outcomes than euthyroid patients. Importantly, lowdose TRT was found to be beneficial in improving IVF success and pregnancy outcomes in patients with SCl hypoT. The original cohort of patients, further classified into 2 subgroups on the basis of antithyroid (TPO) antibodies, showed that low-dose TRT was associated with improved pregnancy outcomes in women with SCl hypoT and TPO-positive antibodies. Conclusion(s): Our findings demonstrate that low-dose TRT may be beneficial in improving in vitro fertilization success and pregnancy outcomes in women with SCl hypoT and TPO-positive antibodies. (Fertil Steril Rep Ò 2022;3:32-8. Ó2021 by American Society for Reproductive Medicine.

American journal of clinical and experimental urology, 2020

Advances in deep learning and neural networking have allowed clinicians to understand the impact ... more Advances in deep learning and neural networking have allowed clinicians to understand the impact that artificial intelligence (AI) could have on improving clinical outcomes and resources expenditures. In the realm of genitourinary (GU) cancers, AI has had particular success in improving the diagnosis and treatment of prostate, renal, and bladder cancers. Numerous studies have developed methods to utilize neural networks to automate prognosis prediction, treatment plan optimization, and patient education. Furthermore, many groups have explored other techniques, including digital pathology and expert 3D modeling systems. Compared to established methods, nearly all the studies showed some level of improvement and there is evidence that AI pipelines can reduce the subjectivity in the diagnosis and management of GU malignancies. However, despite the many potential benefits of utilizing AI in urologic oncology, there are some notable limitations of AI when combating real-world data sets. ...

Digital watermarking is a use related with the fortification of copyright.Any of the digital subs... more Digital watermarking is a use related with the fortification of copyright.Any of the digital substances can be used as a mover to transmit info. Ifthe info is associated to object, then it is recognized as a watermark thatcan be visible or invisible. In the age of digital info, there are multipledanger zones such as defilement of copyright and integrity of digitalobject. In case of any disagreement during the violation, the creator ofthe content may try belongings recovering the watermark. In this papera reasonable study of the most recently digital water mark methodssuch as the DWT, DCT, SVT, NSA and CZT over digital image is obtainable.

In the recent years, advancement in the field of communication technology has made computer netwo... more In the recent years, advancement in the field of communication technology has made computer networks an essential part of our lives. The result is Security attacks through network have grown in recent years. Since machines on a network provide many requisite services and store sensitive information, therefore theses are a prime target of malicious hackers. The term for such activities d o n e b y hackers is known as intrusions. A ny attempt to compromise the confidentiality, integrity or availability of a resource is termed as an intrusion. This research paper directly provides the design of a contextually sensitive post processor for Intrusion Detection Systems with knowledge. It relies on information about constituent hosts to generate a composite score for each received alert. The composite score reflects the impact that the attack will likely have on the system and is made up of two different metrics – the susceptibility of the system to attack and the destructive capabilities o...

Advances in Intelligent Systems and Computing, 2021

2020 Fourth International Conference on Inventive Systems and Control (ICISC), 2020

The demand for biomedical application equipment is growing around the world today. Low voltage an... more The demand for biomedical application equipment is growing around the world today. Low voltage and low power are the most critical biomedical gear for lengthy battery life. Low power is the demand of any circuit and the low pass filter is the most essential representative processing block in the biomedical signal processing system. Hence, in this work present the low voltage, low power CMOS LPF for the biomedical application such as the EEG and ECG. The frequencies of the biomedical signals are very low. The frequency of EEG and ECG biomedical signals are 200Hz and 250Hz respectively. In this work, proposed and simulate the lower power CMOS low pass filter for biomedical application such as ECG, EEG. The low power, low transconductance OTA (Operational Transductance Amplifier) is employed because the basic elements of the planned filter style. In this design second order low pass filter is designed which frequency is tunable using the control voltage VC. We obtained the 2nd order low pass filter cutoff frequency 200Hz (i.e. Control voltage is -0.25V) and 250Hz (i.e. Control voltage is -0.23V) for EEG and ECG biomedical application respectively. The power consumption of the proposed low pass filter is 13.43nW for ECG application and 9.4nW for EEG application.

2021 Second International Conference on Electronics and Sustainable Communication Systems (ICESC), 2021

In current technology, the majority of data is transferred over the internet, and the most useful... more In current technology, the majority of data is transferred over the internet, and the most useful data type is image. As a result, image security is necessary for safe transmission. Image security methods are used to safeguard the image. Low MSE and high PSNR values are necessary for improved hiding. This paper shows the comparative analysis of DCT, LSB and XOR image security techniques and obtained the MSE and PSNR values from these techniques and shown techniques, which provided the better image security.

Vaccines

The dropout rate is one of the determinants of immunization coverage and program performance, pro... more The dropout rate is one of the determinants of immunization coverage and program performance, program continuity, and follow-up. The dropout rate refers to the proportion of vaccine recipients who did not finish their vaccination schedules, and it is determined by comparing the number of infants who started the schedule to the number who completed it. It is the rate difference between the first and final dosage or the rate difference between the first vaccination and the last vaccine dropout; thus, it denotes that the first recommended dose of vaccine was received, but that the subsequently recommended dose was missed. In India, immunization coverage has shown significant improvements over the last two decades, but full immunization coverage has remained stagnant at 76.5%, of which 19.9% are partially immunized, and 3.6% are children who have been left out. In India, the Universal Immunization Programme (UIP) is challenged with cases related to dropout in immunization. Although immu...

2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

catalog images high-resolution geometry physically-based renderings Figure 1. ABO is a dataset of... more catalog images high-resolution geometry physically-based renderings Figure 1. ABO is a dataset of product images and realistic, high-resolution, physically-based 3D models of household objects.

Cureus

Background Infertility is defined as the inability to establish a pregnancy within 12 months of r... more Background Infertility is defined as the inability to establish a pregnancy within 12 months of regular and unprotected sexual intercourse. In response to these problems, assisted reproductive techniques (ARTs) have made profound impacts on the therapeutic management of infertility. However, in-vitro fertilization (IVF) success rates are confounded by several internal and external factors. A relatively new approach to embryo assessment is known as MitoScore (Igenomix, Miami, USA). As a result, we sough to evaluate whether MitoScore can help in predicting in IVF outcomes, and to assess the relationship between MitoScore, BMI, and body fat percentage in determining the success of ARTs. Methods Using retrospective cohort, a study population consisting of 166 women aged 26-43 who were undergoing ART with pre-implantation genetic testing for aneuploidy (PGT-A) was assessed to determine if MitoScore, BMI, and body fat percentage impacted IVF outcomes. Results MitoScore, BMI, and body fat percentage were significantly lower in pregnant women as compared to nonpregnant women. Furthermore, MitoScore was correlated with subclasses of IVF outcomes (delivery, biochemical pregnancy, and spontaneous abortion) and was found to be positively correlated with BMI in patients with biochemical pregnancies. Conclusion Our findings suggest that MitoScore, BMI, and body fat percentage could act as critical parameters in determining the success of ART. However, the association between MitoScore, BMI, and body fat percentage does not appear to be a significant confounding factor to determine pregnancy outcome at this stage. Still, many factors need to be considered to establish the correlation reliably.

Microorganisms

Capsicum annuum L. is a significant horticulture crop known for its pungent varieties and used as... more Capsicum annuum L. is a significant horticulture crop known for its pungent varieties and used as a spice. The pungent character in the plant, known as capsaicinoid, has been discovered to have various health benefits. However, its production has been affected due to various exogenous stresses, including diseases caused by a soil-borne pathogen, Pythium spp. predominantly affecting the Capsicum plant in younger stages and causing damping-off, this pathogen can incite root rot in later plant growth stages. Due to the involvement of multiple Pythium spp. and their capability to disperse through various routes, their detection and diagnosis have become crucial. However, the quest for a point-of-care technology is still far from over. The use of an integrated approach with cultural and biological techniques for the management of Pythium spp. can be the best and most sustainable alternative to the traditionally used and hazardous chemical approach. The lack of race-specific resistance ge...

Vaccines

Our paper examines the key determinants of COVID-19 vaccination coverage in India and presents an... more Our paper examines the key determinants of COVID-19 vaccination coverage in India and presents an analytical framework to probe whether vaccine hesitancy, socioeconomic factors and multi-dimensional deprivations (MPI) play a role in determining COVID-19 vaccination uptake. Our exploratory analysis reveals that COVID-19 vaccine hesitancy has a negative and statistically significant impact on COVID-19 vaccination coverage. A percentage increase in vaccine hesitancy can lead to a decline in vaccination coverage by 30 percent. Similarly, an increase in the proportion of people living in multi-dimensional poverty reduces the COVID-19 vaccination coverage. A unit increase in MPI or proportion of people living in acute poverty leads to a mean decline in vaccination coverage by 50 percent. It implies that an increase in socioeconomic deprivation negatively impacts health outcomes, including vaccination coverage. We additionally demonstrated that gender plays a significant role in determinin...

arXiv (Cornell University), Apr 11, 2022

We present a graph variational autoencoder with a structured prior for generating the layout of i... more We present a graph variational autoencoder with a structured prior for generating the layout of indoor 3D scenes. Given the room type (e.g., living room or library) and the room layout (e.g., room elements such as floor and walls), our architecture generates a collection of objects (e.g., furniture items such as sofa, table and chairs) that is consistent with the room type and layout. This is a challenging problem because the generated scene should satisfy multiple constrains, e.g., each object should lie inside the room and two objects should not occupy the same volume. To address these challenges, we propose a deep generative model that encodes these relationships as soft constraints on an attributed graph (e.g., the nodes capture attributes of room and furniture elements, such as class, pose and size, and the edges capture geometric relationships such as relative orientation). The architecture consists of a graph encoder that maps the input graph to a structured latent space, and a graph decoder that generates a furniture graph, given a latent code and the room graph. The latent space is modeled with auto-regressive priors, which facilitates the generation of highly structured scenes. We also propose an efficient training procedure that combines matching and constrained learning. Experiments on the 3D-FRONT dataset show that our method produces scenes that are diverse and are adapted to the room layout.

National Academy Science Letters

The Journal of Sexual Medicine

Journal of Fungi, 2022

Fungal infections transmitted through the soil continue to pose a threat to a variety of horticul... more Fungal infections transmitted through the soil continue to pose a threat to a variety of horticultural and agricultural products, including tomato and chilli. The indiscriminate use of synthetic pesticides has resulted in a slew of unintended consequences for the surrounding ecosystem. To achieve sustainable productivity, experts have turned their attention to natural alternatives. Due to their biodegradability, varied mode of action, and minimal toxicity to non-target organisms, plant-derived protectants (PDPs) are being hailed as a superior replacement for plant pesticides. This review outlines PDPs’ critical functions (including formulations) in regulating soil-borne fungal diseases, keeping tomato and chilli pathogens in the spotlight. An in-depth examination of the impact of PDPs on pathogen activity will be a priority. Additionally, this review emphasises the advantages of the in silico approach over conventional approaches for screening plants’ secondary metabolites with targ...

18th International Conference on Pattern Recognition (ICPR'06), 2006

This paper presents an algorithm for multiscale image segmentation. Towards this, it proposes a n... more This paper presents an algorithm for multiscale image segmentation. Towards this, it proposes a new region model, that of a homogenous region surrounded by ramp discontinuities (a scenario usually encountered in real images). This paper presents the analysis of this model, leading to a robust algorithm for detection of ramp discontinuities in the image, and finally segmentation of the image at different photometric scales. The algorithm is further specialized for detecting very thin regions. The final segmentation algorithm can detect regions in the image, with varying photometric scales, sizes and arbitrary geometric properties. The properties of the algorithm are experimentally verified on synthetic and real images.

Prosthesis, 2021

The nature of immediate implant placement followed by an immediate restoration protocol makes it ... more The nature of immediate implant placement followed by an immediate restoration protocol makes it particularly suited to the anterior maxilla. In addition to saving treatment time and avoiding additional surgical procedures, this protocol has been reported to improve aesthetic outcomes by supporting the peri-implant tissues during the implant healing phase through the use of a provisional restoration. This case report documents the use of this protocol in a patient with a failing maxillary anterior tooth and reports on the soft and hard tissue changes over an observation period of 10 years. An implant was immediately placed after removal of a failing maxillary central incisor followed by the provision of a screw retained provisional crown on the same day. A definitive restoration was placed after a 3-month healing period. Not only did this protocol manage to maintain peri-implant bone levels over the 10-year follow-up period, excellent aesthetic outcomes and very limited soft tissue ...

F&S Reports, 2021

Objective: To study the beneficial effects of thyroid replacement therapy (TRT) on pregnancy outc... more Objective: To study the beneficial effects of thyroid replacement therapy (TRT) on pregnancy outcomes in patients with subclinical hypothyroidism (SCl hypoT) with respect to thyroid peroxidase (TPO) autoantibodies. Design: Retrospective study of 706 patients. Setting: Not applicable. Patient(s): The study evaluated 706 patients, who were divided into 3 cohorts: euthyroid patients, with pre-in vitro fertilization thyroid-stimulating hormone levels of <2.5 mIU/mL; patients with SCl hypoT, defined as thyroid-stimulating hormone levels of >2.5 mIU/mL and <4 mIU/mL, who were not treated; and patients with SCl hypoT who received TRT. The 3 cohorts were further subclassified into 2 groups, each based on TPO antibody levels. Intervention(s): The cohorts were compared for the effects of TRT on pregnancy outcomes. Main Outcome Measure(s): Identification of effects of TRT on assisted reproductive technology outcomes. Result(s): Patients with SCl hypoT had significantly fewer positive pregnancy outcomes than euthyroid patients. Importantly, lowdose TRT was found to be beneficial in improving IVF success and pregnancy outcomes in patients with SCl hypoT. The original cohort of patients, further classified into 2 subgroups on the basis of antithyroid (TPO) antibodies, showed that low-dose TRT was associated with improved pregnancy outcomes in women with SCl hypoT and TPO-positive antibodies. Conclusion(s): Our findings demonstrate that low-dose TRT may be beneficial in improving in vitro fertilization success and pregnancy outcomes in women with SCl hypoT and TPO-positive antibodies. (Fertil Steril Rep Ò 2022;3:32-8. Ó2021 by American Society for Reproductive Medicine.

American journal of clinical and experimental urology, 2020

Advances in deep learning and neural networking have allowed clinicians to understand the impact ... more Advances in deep learning and neural networking have allowed clinicians to understand the impact that artificial intelligence (AI) could have on improving clinical outcomes and resources expenditures. In the realm of genitourinary (GU) cancers, AI has had particular success in improving the diagnosis and treatment of prostate, renal, and bladder cancers. Numerous studies have developed methods to utilize neural networks to automate prognosis prediction, treatment plan optimization, and patient education. Furthermore, many groups have explored other techniques, including digital pathology and expert 3D modeling systems. Compared to established methods, nearly all the studies showed some level of improvement and there is evidence that AI pipelines can reduce the subjectivity in the diagnosis and management of GU malignancies. However, despite the many potential benefits of utilizing AI in urologic oncology, there are some notable limitations of AI when combating real-world data sets. ...

Digital watermarking is a use related with the fortification of copyright.Any of the digital subs... more Digital watermarking is a use related with the fortification of copyright.Any of the digital substances can be used as a mover to transmit info. Ifthe info is associated to object, then it is recognized as a watermark thatcan be visible or invisible. In the age of digital info, there are multipledanger zones such as defilement of copyright and integrity of digitalobject. In case of any disagreement during the violation, the creator ofthe content may try belongings recovering the watermark. In this papera reasonable study of the most recently digital water mark methodssuch as the DWT, DCT, SVT, NSA and CZT over digital image is obtainable.

In the recent years, advancement in the field of communication technology has made computer netwo... more In the recent years, advancement in the field of communication technology has made computer networks an essential part of our lives. The result is Security attacks through network have grown in recent years. Since machines on a network provide many requisite services and store sensitive information, therefore theses are a prime target of malicious hackers. The term for such activities d o n e b y hackers is known as intrusions. A ny attempt to compromise the confidentiality, integrity or availability of a resource is termed as an intrusion. This research paper directly provides the design of a contextually sensitive post processor for Intrusion Detection Systems with knowledge. It relies on information about constituent hosts to generate a composite score for each received alert. The composite score reflects the impact that the attack will likely have on the system and is made up of two different metrics – the susceptibility of the system to attack and the destructive capabilities o...

Advances in Intelligent Systems and Computing, 2021

2020 Fourth International Conference on Inventive Systems and Control (ICISC), 2020

The demand for biomedical application equipment is growing around the world today. Low voltage an... more The demand for biomedical application equipment is growing around the world today. Low voltage and low power are the most critical biomedical gear for lengthy battery life. Low power is the demand of any circuit and the low pass filter is the most essential representative processing block in the biomedical signal processing system. Hence, in this work present the low voltage, low power CMOS LPF for the biomedical application such as the EEG and ECG. The frequencies of the biomedical signals are very low. The frequency of EEG and ECG biomedical signals are 200Hz and 250Hz respectively. In this work, proposed and simulate the lower power CMOS low pass filter for biomedical application such as ECG, EEG. The low power, low transconductance OTA (Operational Transductance Amplifier) is employed because the basic elements of the planned filter style. In this design second order low pass filter is designed which frequency is tunable using the control voltage VC. We obtained the 2nd order low pass filter cutoff frequency 200Hz (i.e. Control voltage is -0.25V) and 250Hz (i.e. Control voltage is -0.23V) for EEG and ECG biomedical application respectively. The power consumption of the proposed low pass filter is 13.43nW for ECG application and 9.4nW for EEG application.

2021 Second International Conference on Electronics and Sustainable Communication Systems (ICESC), 2021

In current technology, the majority of data is transferred over the internet, and the most useful... more In current technology, the majority of data is transferred over the internet, and the most useful data type is image. As a result, image security is necessary for safe transmission. Image security methods are used to safeguard the image. Low MSE and high PSNR values are necessary for improved hiding. This paper shows the comparative analysis of DCT, LSB and XOR image security techniques and obtained the MSE and PSNR values from these techniques and shown techniques, which provided the better image security.