ratika pradhan

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Papers by ratika pradhan

Landslide Susceptibility Mapping: Development Towards a Machine Learning-Based Model

Lecture Notes in Networks and Systems, 2020

Landslides are movement of rocks, debris or earth along a slope. There are seven states into whic... more Landslides are movement of rocks, debris or earth along a slope. There are seven states into which the activities of a landslide can be classified into; they are dormant, relict, suspended, reactivated, active and stabilized. Landslide susceptibility map is very crucial as it provides significant data and information that is required for planning of landslide-prone areas as it provides crucial information about spatial probability regarding the occurrence of landslide which is very important in the planning of land use. This paper provides a review of various studies and experiments conducted in this domain of research. The focus area of the study is Sikkim Himalayan region as it shares some similar type of parameters.

Effect of optimization framework on rigid and non-rigid multimodal image registration

ScienceAsia, 2022

Spatial Composite Impact Assessment Model Data set

The data set contains: 1. AHP Questionnaire, Estimated criteria weight and method of sen... more The data set contains: 1. AHP Questionnaire, Estimated criteria weight and method of sensitivity analysis using GIS and one-factor at a time techniques. 2. Figures of the study 3. Raster data set fas ArcGIS GBD of the impact category maps and composite impact map 4. Calculation of composite impact index

A Survey on Landslide Susceptibility Mapping Using Soft Computing Techniques

Landslide is a common phenomenon especially in tectonically fragile and sensitive mountainous ter... more Landslide is a common phenomenon especially in tectonically fragile and sensitive mountainous terrain which causes damage to both human lives and environment. The complex geological setting of the areas in the mountainous region makes the land highly susceptible to landslides. Hence, landslide susceptibility mapping is an important step towards landslide hazard and risk management. The accurate prediction of the occurrence of the landslide is difficult and in the recent years various models for landslide susceptibility mapping has been presented. GIS is a key factor for the modeling of landslide susceptibility maps. This paper presents the review of ongoing research on various landslide susceptibility mapping techniques in the recent years.

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Gesture Recognition Approaches and its Applicability: A Study

2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA), 2020

Human Gestures will make the communication more comprehensible and to express ourselves humans ar... more Human Gestures will make the communication more comprehensible and to express ourselves humans are habituated by using gesture, not just in our daily lives but also gained interest in the area of Human Computer Interaction (HCI) and computer vision. Gesture recognition concerns to identify or unfold the meaning from the movements performed by humans using the gestures that may use hand and facial expressions. Gestures are classified as static and dynamic. Gestures recognition is a way for differently abled people to communicate with others. Gesture recognition algorithms can help the needy to bridge the gap and facilitate communication. In the race to make the interaction with computer more natural and human like gesture is considered as one type medium. Most of the research focuses on recognizing dynamic gestures as it is more challenging than the static gesture recognition. Root level of any dynamic gesture recognition system is searching for those key frames that represents best ...

AHP-Based Spatial Composite Impact Assessment Model (SCIAM) of Highway Broadening in Sikkim Himalaya

Advances in Geographic Information Science, 2021

Optimized Tang’s Algorithm for Retinal Image Registration

A Study on Various Machine Learning Algorithms Used for Prediction of Diabetes Mellitus

Advances in Intelligent Systems and Computing, 2020

Approaches and Measures to Detect Wormhole Attack in Wireless Sensor Networks: A Survey

Advances in Communication, Devices and Networking, 2018

Wireless sensor networks (WSNs) contain a collection of sensor nodes. These nodes are linked with... more Wireless sensor networks (WSNs) contain a collection of sensor nodes. These nodes are linked with one another and have low computational power. Wireless sensor network is used for sending messages, data, and other important information over a wireless link for military purpose, environmental monitoring, Health checkups for patents, habitat monitoring, target tracking, and disaster management. Security is most important concept in WSN while sending such important message over wireless link. This permit attacker to penetrate the network and carried out various possible attacks with the purpose of stealing or editing actual data/information. In this paper, discussions are made on different techniques available to avoid and detect wormhole attack.

AHP-based spatial analysis of water quality impact assessment due to change in vehicular traffic caused by highway broadening in Sikkim Himalaya

Applied Water Science, 2018

Spatial analysis of water quality impact assessment of highway projects in mountainous areas rema... more Spatial analysis of water quality impact assessment of highway projects in mountainous areas remains largely unexplored. A methodology is presented here for Spatial Water Quality Impact Assessment (SWQIA) due to highway-broadening-induced vehicular traffic change in the East district of Sikkim. Pollution load of the highway runoff was estimated using an Average Annual Daily Traffic-Based Empirical model in combination with mass balance model to predict pollution in the rivers within the study area. Spatial interpolation and overlay analysis were used for impact mapping. Analytic Hierarchy Process-Based Water Quality Status Index was used to prepare a composite impact map. Model validation criteria, cross-validation criteria, and spatial explicit sensitivity analysis show that the SWQIA model is robust. The study shows that vehicular traffic is a significant contributor to water pollution in the study area. The model is catering specifically to impact analysis of the concerned project. It can be an aid for decision support system for the project stakeholders. The applicability of SWQIA model needs to be explored and validated in the context of a larger set of water quality parameters and project scenarios at a greater spatial scale.

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Analytic hierarchy process and information value method-based landslide susceptibility mapping and vehicle vulnerability assessment along a highway in Sikkim Himalaya

Arabian Journal of Geosciences, 2018

The recent episodes of forest fire in Brazil and Australia of 2019 are tragic reminders of the ha... more The recent episodes of forest fire in Brazil and Australia of 2019 are tragic reminders of the hazards of the forest fire. Globally incidents of forest fire events are in the rise due to human encroachment into wilderness and climate change. Sikkim with a forest cover of more than 47%, suffers seasonal instances of frequent forest fire during the dry winter months. To address this issue, a GIS-aided and MaxEnt machine learning-based forest fire prediction map has been prepared using forest fire inventory database and maps of environmental features. The study indicates that amongst the environmental features, population density and proximity to roads are the major determinants of the forest fire. This indicates the role of human activities on the incidences of a forest fire. Model validation criteria like ROC curve, correlation coefficient and Cohen's Kappa show a good predictive capability (AUC = 0.95, COR = 0.77, κ = 0.77). The outcomes of this study in the form of a forest fire prediction map can aid the stakeholders of the forest in taking informed mitigation measures.

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Optimization of Non-rigid Demons Registration Using Cuckoo Search Algorithm

Cognitive Computation, 2017

Video processing including registration has a significant role in surveillance and real-time appl... more Video processing including registration has a significant role in surveillance and real-time applications. Image registration is considered a compulsory step in video registration for numerous aspects. One of the major challenges in image registration is to determine the optimal parameters during the registration process. Bio-inspired computational including natural and artificial cognitive systems can be employed to define the optimal solutions. The present work proposed a comprehensive automatic non-rigid video set registration algorithm using Demons algorithm. For optimal velocity smoothing kernels, the demons registration is optimized using cuckoo search (CS) algorithm, where there are no previous studies that have optimized demons algorithm using CS algorithm. A comparison between the CS algorithm and the particle swarm optimization (PSO)-based demons registration is conducted to evaluate the proposed system performance. Thus, the correlation coefficient is taken as a fitness function. The obtained results using CS show a minor increment of the optimized fitness value compared to PSO-based framework value. The proposed CS-based approach reports faster convergence rate than the PSO-based approach.

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Ecological Design Considerations in High-Rise Buildings with References to CO 2 Levels

Rapid development coupled with urbanization has been identified as the main cause of environmenta... more Rapid development coupled with urbanization has been identified as the main cause of environmental and social imbalances. This will lead to the increment of population as well as the pollutants in cities. This scenario results in limited space, thereby giving more room to high-rise buildings, which lack proper ecological design considerations. An urban area with buildings arranged densely will result in not just poor ventilation but also a strong heat island effect. Less vegetative urban areas do not have a proper mechanism to absorb the greenhouse gas emissions, which are increasing at an alarming rate. In a high-rise building, this effect can differ with location and also with the elevation. An in-depth analysis of Carbon Dioxide (CO2) concentrations, Relative Humidity (RH) and temperature can be used to evaluate indoor air quality, which should be acceptable in terms of both health and comfort of people. A densely populated urban area located along the Galle road in the City of C...

Citations

Gradient and Principal Component Analysis Based Texture Recognition System: A Comparative Study

Fifth International Conference on Information Technology: New Generations (itng 2008), 2008

Page 1. Gradient and Principal Component Analysis Based Texture Recognition System: A Comparative... more

The ForEx++ based decision tree ensemble approach for robust detection of Parkinson’s disease

Journal of Ambient Intelligence and Humanized Computing, 2022

The progressive reduction of dopaminergic neurons in the human brain, especially at the substanti... more The progressive reduction of dopaminergic neurons in the human brain, especially at the substantia nigra is one of the principal causes of Parkinson’s Disease (PD). Voice alteration is one of the earliest symptoms found in PD patients. Therefore, the impaired PD subjects’ acoustic voice signal plays a crucial role in detecting the presence of Parkinson's. This manuscript presents four distinct decision tree ensemble methods of PD detection on a trailblazing ForEx++ rule-based framework. The Systematically Developed Forest (SysFor) and a Penalizing Attributes Decision Forest (ForestPA) ensemble approaches has been used for PD detection. The proposed detection schemes efficiently identify positive subjects using primary voice signal features, viz., baseline, vocal fold, and time–frequency. A novel feature selection scheme termed Feature Ranking to Feature Selection (FRFS) has also been proposed to combine filter and wrapper strategies. The proposed FRFS scheme encompasses Gel’s no...

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Optimal Wildlife Corridor: A Review

Indian Forester, 2020

Criteria maps/ raster of Spatial Socioeconomic Impact Assessment as used in the paper: "Banerjee, P., & Ghose, M. K. (2017). A geographic information system-based socioeconomic impact assessment of the broadening of national highway in Sikkim Himalayas: a case study. Environment, Development and ...

Socioeconomic criteria raster maps of spatial impact assessment of highway broadening in Sikkim H... more Socioeconomic criteria raster maps of spatial impact assessment of highway broadening in Sikkim Himalaya. The maps were generated by GPS tagged responses of participants from the project affected population in a buffer area of 2 km radius from the highway. A structured questionnaire was administered to the participants and their residential location was tabulated using GPS handset. The responses of 100 respondents were aggregated into several townships along the highway using k-nearest neighbor mean calculation. The database was projected in the ArcGIS environment and Empirical Bayesian Kriging was used to prepare the rasters.

IAABO-TCI: Improved Ant and Artificial Bees Swarm Computing Optimization techniques for content based image classification

2016 Online International Conference on Green Engineering and Technologies (IC-GET), 2016

The social insect metaphor for solving problems has become an emerging topic in the recent years ... more The social insect metaphor for solving problems has become an emerging topic in the recent years emphasizing on stochastic construction practice, building the key probabilistically to optimize the solution related to any kind of a problem. As we are aware that image makes the human visualize the existence of entities in nature and helps individual to get the feel of the services without solely relying on the written messages. With the headway in image capturing devices, image data are being generated in high dimensions. However, processing the captured images plays a vital role that is gaining importance with its applicability in several filed of research. Numerous methods for processing of imagery have been developed nevertheless; existing methods still confines as the complexities of image increases with several coherent disadvantages such as greater amount of processing time and effort, prone to errors, inefficient outcome in terms of Accuracy Assessment parameters. Further, to classify the images into one of the several categories available in the database, typically make use of text associated with the image. The content-based image retrieval considering the visual information contained in the image itself is a challenging area to work on with. With this motivation in mind this paper focus on designing improved Swarm Computing methodology for content based image classification taking the full advantage of the solving power of Ant Colony Optimization (ACO) for Edge Detection, Support Vector Machines (SVM) as a base classifier, Discrete Wavelet Transform (DWT) for feature extraction and selection and Flower Pollination by Artificial Bee (FPAB) for optimization.

A Survey on Dynamic Hand Gesture for Number Recognition

Hand gesture system recognition has received great attention in the current few years because of ... more Hand gesture system recognition has received great attention in the current few years because of its ability as it is very important for developing an attractive alternative through human computer interaction modalities. However a more natural form of communication system would make the interaction easier, even the performance would increase and additional cost for hardware would also decrease in fact we might not need extra hardware as well. Thus one of the steps towards the goal of achieving such natural form of communication is Dynamic Gesture Recognition. In dynamic gesture recognition we consider the hand as our only interest of object and our primary focus is on the motion of this object. Therefore here dynamic gesture means the gesture made by a moving hand. In this paper a survey of various hand gesture recognition systems is perceived. There are so many numbers of devices that have been invented, each bringing with it a new aspect of interaction. This paper presents the rev...

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Landslide Susceptibility Mapping: Development Towards a Machine Learning-Based Model

Lecture Notes in Networks and Systems, 2020

Effect of optimization framework on rigid and non-rigid multimodal image registration

ScienceAsia, 2022

Spatial Composite Impact Assessment Model Data set

A Survey on Landslide Susceptibility Mapping Using Soft Computing Techniques

Download

Gesture Recognition Approaches and its Applicability: A Study

2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA), 2020

AHP-Based Spatial Composite Impact Assessment Model (SCIAM) of Highway Broadening in Sikkim Himalaya

Advances in Geographic Information Science, 2021

Optimized Tang’s Algorithm for Retinal Image Registration

A Study on Various Machine Learning Algorithms Used for Prediction of Diabetes Mellitus

Advances in Intelligent Systems and Computing, 2020

Approaches and Measures to Detect Wormhole Attack in Wireless Sensor Networks: A Survey

Advances in Communication, Devices and Networking, 2018

AHP-based spatial analysis of water quality impact assessment due to change in vehicular traffic caused by highway broadening in Sikkim Himalaya

Applied Water Science, 2018

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Analytic hierarchy process and information value method-based landslide susceptibility mapping and vehicle vulnerability assessment along a highway in Sikkim Himalaya

Arabian Journal of Geosciences, 2018

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Optimization of Non-rigid Demons Registration Using Cuckoo Search Algorithm

Cognitive Computation, 2017

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Ecological Design Considerations in High-Rise Buildings with References to CO 2 Levels

Citations

Gradient and Principal Component Analysis Based Texture Recognition System: A Comparative Study

Fifth International Conference on Information Technology: New Generations (itng 2008), 2008

Page 1. Gradient and Principal Component Analysis Based Texture Recognition System: A Comparative... more

The ForEx++ based decision tree ensemble approach for robust detection of Parkinson’s disease

Journal of Ambient Intelligence and Humanized Computing, 2022

Download

Optimal Wildlife Corridor: A Review

Indian Forester, 2020

IAABO-TCI: Improved Ant and Artificial Bees Swarm Computing Optimization techniques for content based image classification

2016 Online International Conference on Green Engineering and Technologies (IC-GET), 2016

A Survey on Dynamic Hand Gesture for Number Recognition

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