ACADEMIC DOCS by Jenice Aroma
Technologies, 2018
An Emergency Response (ER) Cyber-Physical System (CPS) to avoid landslides and survey areas locat... more An Emergency Response (ER) Cyber-Physical System (CPS) to avoid landslides and survey areas located on or near slopes is introduced that handles two problems: electronic waste disposal, and environmental disasters. Uncomplicated detection circuits using salvaged components can pinpoint floods in impoverished regions. CPSs simplify hazard prediction and mitigation in disaster supervision. Nonetheless, few green practices and efforts have been accomplished in this regard. Recent technical advances help landslides studies and the evaluation of suitable risk alleviation measures. This work addresses in situ meters, and cameras to observe ground movements more accurately. The ER-CPS identifies and can help mitigate landslides using techniques based on motion detection that can productively predict and monitor the zone conditions to classify it, and the landslide-related data can be transmitted to inspecting stations to lessen the erosion/sedimentation likelihood while increasing security.
Papers by Jenice Aroma
Intelligent Land Cover Detection in Multi-sensor Satellite Images
Advances in intelligent systems and computing, Sep 19, 2018
Nowadays, the availability of satellite images is higher due to the launch of more number of eart... more Nowadays, the availability of satellite images is higher due to the launch of more number of earth observation and inter-planetary mission satellites. The satellite images are widely used in different early warning, risk assessment and disaster models. Hence, the need for efficient interpretation of these resources is also high. Generally, it is a primary issue in satellite image analysis to detect the specific region or individual objects in multiple sensor satellite images of varied spatial resolution. If traditional classifiers are used for such object detection, it needs much training time and tedious ground truth labeling. Hence, the proposed model is focused on reducing the above said complexities and offer efficient detection of the chosen land cover region using Speeded Up Robust Features (SURF), a widely used robust local feature descriptor. The performance of SURF has been evaluated using three different sensor images of moderate resolution for a common study region.
Enhanced Security Credentials for Image Steganography Using QR Code
Advances in intelligent systems and computing, Dec 1, 2019
The process of digital verification is a real needed factor in the current era of the technologic... more The process of digital verification is a real needed factor in the current era of the technological world. Especially in the sector of online payment, verifying the authenticity of the user has always been a challenge and considered unsafe. A privileged process and current breakthrough of technology is the fingerprint recognition and the simplification of its usage in current smartphones and its simplicity. The aim of this work is to create a mode of digital verification that emphasis on verifying the user credentials, especially on secure payments. This is achieved by generation of a QR code by the given input fingerprint. The fingerprint link is converted to hexadecimal value and with that value, the QR code is generated. A signature of the user is saved as an image and is embedded with the QR using additive substitution and discrete wavelength transform (DWT) techniques in steganography. When a fingerprint is given as input to the fingerprint-generated and signature-embedded QR, the QR gets decoded and the given fingerprint is compared with the decoded fingerprint, now the similarity measure is compared among them, if the similarity measure is greater than the threshold set, the verification process will be successful else it asks for a digital doodle signature, now this signature is compared with the engrafted signature of the QR and again similarity of both the image is compared using the standard Image Quality Assessment (IQA) matrix.
Application of Image Fusion Approaches for Image Differencing in Satellite Images
Advances in intelligent systems and computing, Dec 1, 2019
The increasing thwart for the environment has lead to a revolutionary change in protective measur... more The increasing thwart for the environment has lead to a revolutionary change in protective measures. The surveillance of the complete ecosystem was a laborious effort during the days of field sensors based assessment practices for spatial object monitoring. After the rise of satellite image based applications for observing the spatiotemporal changes in both coastal regions and urban ecosystems, environmental sustainability has got a balance. In order to implement such applications with more accurate assessment, the spatial image interpretation methods are in need to be improved. This paper proposes a significant approach for water body change visualization by applying feature-level image fusion methods for tracing the extent of change occurred within a water body over the chosen time period. The Image Quality Assessment (IQA) metrics have been applied for quantitative assessment. The results achieved on superimposing the various point descriptors, wavelet descriptors, and other reduced features could highly portray the effective change visualization of the chosen water body.
International journal of computer applications, Jan 18, 2013
The Syntactic web search scheme is upgraded by adding semantics through the recent trends of Sema... more The Syntactic web search scheme is upgraded by adding semantics through the recent trends of Semantic web. The importance of Semantic web is due to the increased level of appropriate results on information retrieval. It brings a wide participation of researchers all over the world. Even beginners could gain an easier understanding of the Semantic web standards. This paper clearly illustrates some of the tools and technologies that are applied for effective semantic web development. Most of the efficient tools are open for access. Certain commercial tools for specific mode of development are also available.
A novel two-tier paradigm for labeling water bodies in supervised satellite image classification
The satellite images are the high dimensional data with huge spatial details which needs intellig... more The satellite images are the high dimensional data with huge spatial details which needs intelligent interpretation methods. The use of satellite images is more prevalent nowadays in many real time surveillance applications and it leads to the need of simple and accurate processing. The advent of machine learning classifiers improved the efficiency of satellite image applications. However, the ground truth data availability and spatial data labeling are certain serious limitations for supervised satellite image classification. Thus change monitoring models are highly dependent on unsupervised clustering methods with the compromised level of accuracy. This paper is focused on addressing the steps to overcome the above said ground truth validation, labeling and other feature discrimination issues in a supervised soft classifier model for simple change recognition of seasonal water bodies in satellite images.
Zenodo (CERN European Organization for Nuclear Research), Oct 9, 2016
The satellite image based applications are highly utilized nowadays from simple purposes like veh... more The satellite image based applications are highly utilized nowadays from simple purposes like vehicle navigation to complex surveillance and virtual environment modeling projects. On increased population rate, the depletion of natural resources is highly unavoidable and it leads to increased threats on natural hazards. In order to protect and overcome the physical losses on devastation of properties, the risk mapping models such as weather forecasts, drought modeling and other hazard assessment models are in need. Though many intelligent risk mapping models do exist, the high level of intelligence needed to predict the real time events is still unresolved. And it leads to increased research efforts on designing intelligent assessment models using more advanced machine learning (ML) schemes for better satellite image interpretation. This paper focuses on bringing a clear understanding on satellite image interpretation methods right from the traditional statistical models to the more recent ML methods through stating the gradual revolution in satellite image analysis.
Metaheuristics Applied to Pathology Image Analysis
CRC Press eBooks, Jul 10, 2023
Remote Sensing Applications in Disease Mapping and Public Health Analysis
CRC Press eBooks, Jul 10, 2023
Motion Estimation Role in the Context of 3D Video
International Journal of Multimedia Data Engineering and Management, 2021
The 3D end-to-end video system (i.e., 3D acquisition, processing, streaming, error concealment, v... more The 3D end-to-end video system (i.e., 3D acquisition, processing, streaming, error concealment, virtual/augmented reality handling, content retrieval, rendering, and displaying) still needs improvements. This paper scrutinizes the motion compensation/motion estimation (MCME) impact in the 3D video (3DV) from the end-to-end users' point of view deeply. The concepts of motion vectors (MVs) and disparities are very close, and they help to ameliorate all the stages of the end-to-end 3DV system. The high-efficiency video coding (HEVC) video codec standard is taken into consideration to evaluate the emergent trend towards computational treatment throughout the cloud whenever possible. The tight bond between movement and depth affects 3D information recovery from these cues and optimizes the performance of algorithms and standards from several parts of the 3D system. Still, 3DV lacks support for engaging interactive 3DV services. Better bit allocation strategies also ameliorate all 3D ...
Intelligent Land Cover Detection in Multi-sensor Satellite Images
Proceedings of the 18th Online World Conference on Soft Computing in Industrial Applications (WSC18), 2018
Nowadays, the availability of satellite images is higher due to the launch of more number of eart... more Nowadays, the availability of satellite images is higher due to the launch of more number of earth observation and inter-planetary mission satellites. The satellite images are widely used in different early warning, risk assessment and disaster models. Hence, the need for efficient interpretation of these resources is also high. Generally, it is a primary issue in satellite image analysis to detect the specific region or individual objects in multiple sensor satellite images of varied spatial resolution. If traditional classifiers are used for such object detection, it needs much training time and tedious ground truth labeling. Hence, the proposed model is focused on reducing the above said complexities and offer efficient detection of the chosen land cover region using Speeded Up Robust Features (SURF), a widely used robust local feature descriptor. The performance of SURF has been evaluated using three different sensor images of moderate resolution for a common study region.
The emerging trends of Semantic web attract the attention of researchers, due to the increased le... more The emerging trends of Semantic web attract the attention of researchers, due to the increased level of machine understandability which could offer an enhanced approach of acquiring more relevant results. It leads to redefining of the existing conventional web services (Web 2.0) into semantic web services (Web 3.0).The Conventional WSDL Services (Web Service Definition Language) are mapped into the semantic based OWL-S Services (Web Ontology Language for Services) through the addition of Semantic Annotations. This paper clearly focuses on giving a detailed overview of Semantic web, thereby states the need for redefinition of Web2.0.It stands as a guide to the researchers to gain an additional knowledge and for the beginners, a stepping stone into the semantic web research.
A Short Investigation on Effective Spectral Properties of Multispectral and Hyper Spectral Images for Object Detection
The Satellite based imaging system which is based on a network of artificial satellites is more e... more The Satellite based imaging system which is based on a network of artificial satellites is more efficient for remote monitoring of our ecosystem. It provides geospatial positioning and high precision information regarding the local time which can be used in global positioning, air and sea traffic and so on. Effective monitoring of our ecosystem has been achieved through remote sensing which extracts even fine spatial details of the earth, thus producing an image with good resolution for better clarity to be analyzed. This paper discusses about two different variants of satellite imaging on spatial objects which varies with the spatial significance. These satellite imaging instruments are primarily stresses on the pixel count for ejecting an accurate and more specific image. Increase in spatial resolution produces an accurate and precise overview about the chosen spatial entity thereby supporting the data collection technology and offers effective data interpretation. This can bring ...
Application of Image Fusion Approaches for Image Differencing in Satellite Images
The increasing thwart for the environment has lead to a revolutionary change in protective measur... more The increasing thwart for the environment has lead to a revolutionary change in protective measures. The surveillance of the complete ecosystem was a laborious effort during the days of field sensors based assessment practices for spatial object monitoring. After the rise of satellite image based applications for observing the spatiotemporal changes in both coastal regions and urban ecosystems, environmental sustainability has got a balance. In order to implement such applications with more accurate assessment, the spatial image interpretation methods are in need to be improved. This paper proposes a significant approach for water body change visualization by applying feature-level image fusion methods for tracing the extent of change occurred within a water body over the chosen time period. The Image Quality Assessment (IQA) metrics have been applied for quantitative assessment. The results achieved on superimposing the various point descriptors, wavelet descriptors, and other redu...
The outgrowth of web usage leads to the expectation of faster and easier access of web resources.... more The outgrowth of web usage leads to the expectation of faster and easier access of web resources. Experts and even naïve users wish to have more advanced features on search schemes to acquire accurate results within a short time span. Semantic web can bring this expectation to real practice. To bring Semantic web in true, efficient Semantic Mapping is must. In this paper, a novel Two step Semantic Mapping algorithm and few related Semantic Mapping schemes are detailed with their functions and features. It helps one to acquire more knowledge on Semantic Mapping of concepts.
Building Bridges and Remediating Illiteracy: How Intergenerational Cooperation Foster Better Engineering Professionals
2013 IEEE International Conference ON Emerging Trends in Computing, Communication and Nanotechnology (ICECCN), 2013
The rapid growth of web resources lead to a need of enhanced Search scheme for information retrie... more The rapid growth of web resources lead to a need of enhanced Search scheme for information retrieval. Every single user contributes a part of new information to be added to the web every day. This huge data supplied are of diverse area in origin being added, without a mere relation. Hence, a novel search scheme must be applied for bringing out the relevant results on querying web for data. The current web search scheme could bring out only relevant pages to be as results. But, a Semantic web is a solution to this issue through providing a suitable result on understanding the appropriate need of information. It can be acquired through extending the support for databases in machine readable form. It leads to redefinition of current web into semantic web by adding semantic annotations. This paper gives an overview of Semantic mapping approaches. The main goal of this paper is to propose the steps for bringing out a new Semantic web discovery algorithm with an efficient Semantic mapping...
UAV-CPSs as a test bed for new technologies and a primer to Industry 5.0
Imaging and Sensing for Unmanned Aircraft Systems: Volume 2: Deployment and Applications, 2020
The extensive Cloud pool of resources and infrastructure can deliver significant improvements to ... more The extensive Cloud pool of resources and infrastructure can deliver significant improvements to Unmanned Aerial Vehicle (UAV) Cyber-Physical Systems (UAV-CPSs) relying on data or code from a network to operate, but not all sensors, actuators, computation modules and memory depots from a single fixed structure. This chapter is organised around the potential benefits of the Cloud: (1) Big Data (BD) access to visual libraries containing representations/descriptive data, images, video, maps and flight paths, (2) Cloud Computing (CC) functionalities for Grid Computing (GC) on demand for statistical analysis, Machine Learning (ML) algorithms, Computational Intelligence (CI) applications and flight planning, (3) Collective UAV Learning (CUL) where UAVs share their trajectories, control guidelines and mission outcomes and (4) human-machine collaboration through crowdsourcing for analysing high-dimensional high-resolution (HDHR) images/ video, classification of scenes/objects/entities, learning and error correction/ concealment. The Cloud can also expand UAV-CPSs by offering (a) data sets, models, all sorts of literature, HDHR benchmarks and software/hardware simulators, (b) open competitions for UAV-CPS designs with Open Source Hardware (OSH) and (c) Open-Source Software (OSS). This chapter talks about some open challenges and new trends in UAV-CPSs.
Multispectral vs hyperspectral imaging for unmanned aerial vehicles: current and prospective state of affairs
Imaging and Sensing for Unmanned Aircraft Systems: Volume 2: Deployment and Applications, 2020
Over the past few decades of imaging, these sensing instruments are now more advanced with multip... more Over the past few decades of imaging, these sensing instruments are now more advanced with multiple missions such as surveillance, monitoring, tracking and destruction of spatial objects. Nowadays, unmanned aerial vehicles (UAVs) are much prevalent, which could acquire a comprehensive view and could perform actions even to the lowest target levels at the ground. The UAV can be developed with minimal cost than other remote mission. Hence, it is much cost-effective. This chapter aims at detailing the critical aspects of two different variants of remotesensing (RS) technologies in UAVs: (a) multispectral imaging (MSI) and (b) hyperspectral imaging, which accounts for the spatial and spectral signatures of the observed underlying natural phenomena.
Nondestructive Diagnosis and Analysis of Computed Microtomography Images via Texture Descriptors
Advances in Multidisciplinary Medical Technologies ─ Engineering, Modeling and Findings, 2020
X-ray computed microtomography (μCT or micro-CT) allows a nondestructive analysis of samples, whi... more X-ray computed microtomography (μCT or micro-CT) allows a nondestructive analysis of samples, which helps their reuse. The X-ray μCT equipment offers the user several configuration options that change the quality of the images obtained, thus affecting the expected result. In this study, a methodology for analyzing X-ray μCT images generated by the SkyScan 1174 Compact Micro-CT equipment was developed. The basis of this analysis methodology is texture descriptors. Three sets of images were used, and then degradations and noise were applied to the original images, generating new images. Subsequently, the following texture descriptors assisted in scrutinizing the sets: maximum probability, the moment of difference, the inverse difference moment, entropy, and uniformity. Experiments show the outcomes of some tests.
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ACADEMIC DOCS by Jenice Aroma
Papers by Jenice Aroma