Project Title : IOT Based Smart Signal For Ambulance With Traffic Management

Sanctioned Year : 2019

Amount : 3500

Funding/Sanction agency : Karnataka State Council for Science And Technology

Status :

Principal Investigators : Dr. Vishwanath Burkpalli

Project Title : Next Generation Artificial Intelligence and Augmented Reality Lab

Sanctioned Year : 2020

Amount : 1500000

Funding/Sanction agency : VGST Government Of India

Status :

Principal Investigators : Dr.Bharati Harsoor, Prof. Ashok Patil

Project Title : 3D OBJECT TRACKING USING AUGMENTED REALITY

Sanctioned Year : 2020

Amount : 2500

Funding/Sanction agency : Karnataka State Council for Science And Technology

Status :

Principal Investigators : Dr.Bharati Harsoor

Student Name : Suma S

Title of the Paper : Congestion Control Algorithms for Traffic and Resource Control in Wireless Sensor Networks

Research Description : Applications in the wireless sensor network (WSNs) associated with increased traffic, demand performance assurance as a vital issue considering parameters like power, reliability, and delay. When the occurrence of an event takes place in the network, high traffic is determined specifically at this instance congestion appears in the network. In such WSN congestion is controlled by minimizing the load or by maximizing the resource. In WSNs when convergence hotspot traffic control is applied and at hotspot resource control. In this paper, several algorithms for controlling congestion in WSN are studied based on their key ideas, benefits, and drawbacks to increasing the capacity of network lifetime.

Faculty Coordinator : Dr. Bharati Harsoor

Reference Link: https://scholar.google.com/citations?view_op=view_citation&hl=en&user=4K9K9qcAAAAJ&citation_for_view=4K9K9qcAAAAJ:u-x6o8ySG0sC

Student Name : Suma S

Title of the Paper : An Effective Congestion Control Approach through Route Delay Estimation Using Packet Loss in Wireless Sensor Network

Research Description : In wireless sensor networks, congestion control and efficient routing are in much needed due to the increase in the usage of sensor devices in the diverse applications. Even in the randomness in the mobility of the devices creates dynamic topology which causes delay or packet loss in routing. The occurrence of congestion mostly due to the high volume of traffic inflow and low outflow of the data rate. This change in transmission rate results in routing delays and reduced throughput. The rate control is the major concern in applications performing regular streaming, particularly in wireless networks.

Faculty Coordinator : Dr. Bharati Harsoor

Reference Link: https://scholar.google.com/citations?view_op=view_citation&hl=en&user=4K9K9qcAAAAJ&citation_for_view=4K9K9qcAAAAJ:d1gkVwhDpl0C

Student Name : Suma S

Title of the Paper : Congestion Control for Multihop Transmission in WSN Using Contention Window

Research Description : Existing congestion system concentrates on improving sender’s rate by suppressing receiver’s rate and has a problem for dynamic data rates. Due to which the network gets congested and paralyzed. In this paper we propose contention-based multihop congestion control (CB-MCC) algorithm which considers hop by hop transmission detecting queue length of sender node and receiver node by exchanging control message request to send (RTS) and clear to send (CTS) along with flag command indication 0 (no congestion) and 1(congestion). When one node is congested CB-MCC dynamically adapts and adjusts the contention window of a node which allows the current node to map available channel and controls the congestion process of next hop node. Simulation is carried on event driven simulation tool, the proposed CB-MCC is compared with existing congestion control method and parameter like throughput, delay and packet delivery ratio is analysed.

Faculty Coordinator : Dr. Bharati Harsoor

Reference Link: http://sersc.org/journals/index.php/IJAST/article/view/32599

Student Name : Amareshwari Patil

Title of the Paper : Competent Asset Planning for Cloud Computing

Research Description : loud Computing is being widely utilized in today’s world. The proposed system comes under the Iaas (Infrastructure as a service) which provides CPU and memory as a resource. As cloud computing is very popular, the users of cloud are also increasing accordingly and this has become the important issue for the cloud service providers in terms of load balancing.

Faculty Coordinator : Dr. Bharati Harsoor

Reference Link: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3509030

Student Name : Amareshwari Patil

Title of the Paper : Study on dexterity for utilization of resources in cloud computing system

Research Description : Study on dexterity for utilization of resources in cloud computing system

Faculty Coordinator : Dr. Bharati Harsoor

Student Name : Amareshwari Patil

Title of the Paper : Efficient Utilization Of Resource In Cloud Computing

Research Description : Efficient Utilization Of Resource In Cloud Computing

Faculty Coordinator : Dr. Bharati Harsoor

Student Name : Sayeeda Ambreen Ran

Title of the Paper : Review of routing protocols for wireless mesh networks (WSN)

Research Description : Review of routing protocols for wireless mesh networks (WSN)”

Faculty Coordinator : Dr. Bharati Harsoor

Student Name : Rahul Kapse

Title of the Paper : Review of Software Fault Prediction Using Data Mining Techniques

Research Description : oftware Reliability is a significant factor in software quality since it quantifies software failures. Software defect prediction model helps in early detection of faults and contribute to their efficient removal and producing a reliable software system. Software metrics can be used to collect information regarding structural properties of a software design which can be further statistically analyzed, interpreted and linked to its quality. Metrics information can be collected from internal design like logic and algorithmic details as well as from the external design ie interfaces of software. In this paper various fault prediction and classification techniques has been studied and reviewed to produce a more reliable software system.

Faculty Coordinator : Dr. Bharati Harsoor

Reference Link: https://scholar.google.com/citations?view_op=view_citation&hl=en&user=jbv3MckAAAAJ&citation_for_view=jbv3MckAAAAJ:2osOgNQ5qMEC

Student Name : Sampat Peddi

Title of the Paper : Congestion Control Algorithms in Wireless Sensor Networks

Research Description : Congestion Control Algorithms in Wireless Sensor Networks

Faculty Coordinator : Dr. Bharati Harsoor

Student Name : Kavita C R

Title of the Paper : A Survey on Homomorphic Encryption in Cloud Security

Research Description : An outsourcing of data is increasing the data storage in Cloud. These raise numerous new challenges of privacy concern for persons and business. Sending data in the encrypted form to the cloud is a common approach to handle the privacy concern. Homomorphic Encryption technique is used to carry out significant computations on the data in the cloud. Random computations over ciphertext are allowed in Fully Homomorphic Encryption. Many solutions using fully homomorphic encryption have been proposed and also many researchers have tried to improve, proving efficiency is very hard. In this paper, Delegated Parallel Homomorphic Encryption is proposed. Also, an analysis has been made to exhibit various applications in the real world. The system must work efficiently without compromising the required cloud security services.

Faculty Coordinator : Dr. Bharati Harsoor

Reference Link: https://www.sciencepubco.com/index.php/ijet/article/view/21806

Student Name : Radha B Kalaskar

Title of the Paper : Real-Time Ambulatory Monitoring System

Research Description : his paper presents the design of a cardiovascular monitoring system, for implementation on an embedded device. An electrocardiogram is one of the major biomedical waveforms been commonly used for a prognostic of heart-related diseases. ECG is acquired simultaneously from different systematic points of the body. A heart is an electromechanical unit. To know the proper functioning of heart we are monitoring both heart rate and pulse rate. A pulse oximeter is a medical device that monitors both pulse rate and oxygen saturation in the patient’s blood. In this work, we propose a wearable device that a patient can use in his body and system can monitor the heartbeat of the patient and pulse rate. This paper mainly explains about real-time monitoring of heart rate, pulse rate and relative Blood Pressure through specially designed ECG circuit and transmission of data to a smartphone via Bluetooth.

Faculty Coordinator : Dr. Bharati Harsoor

Reference Link: https://scholar.google.com/citations?view_op=view_citation&hl=en&user=QSHkp2QAAAAJ&citation_for_view=QSHkp2QAAAAJ:_kc_bZDykSQC

Student Name : Radha B Kalaskar

Title of the Paper : A Novel Framework for Prediction and Detection of Myocardial Ischemia with Single Lead ECG and PAT

Research Description : Myocardial Ischemia (Heart attack) is the major disease, most of the population country like India is suffering from Cardiac problems. Several past studies have been conducted in the area of early detection of myocardial ischemia based on 12 lead ECG or Pulse Wave Velocity. However, past studies fail to take into consideration of the “cardio stress” due to endothelium dysfunction. In the proposed work, an extremely low cost device is developed for detection of early stage Myocardial Ischemia and atherosclerosis through endothelium dysfunction and arterial stiffness analysis by using Cardio Neuro Coherence, Electrophysiology and cardio vascular blood flow analysis. The Heart Rate Variability and Pulse Arrival Time are combined using a single lead ECG and simultaneous capture of arterial pulse. The test procedure is carried out on 75 subjects consisting of male(80%) and female(20%) with 39 existing MI cases

Faculty Coordinator : Dr. Bharati Harsoor

Reference Link: https://scholar.google.com/citations?view_op=view_citation&hl=en&user=QSHkp2QAAAAJ&citation_for_view=QSHkp2QAAAAJ:qjMakFHDy7sC

Student Name : Radha B Kalaskar

Title of the Paper : Hrudyalysis: A Novel Cloud-Based ECG Analytics Method

Research Description : Hrudyalysis: A Novel Cloud-Based ECG Analytics Method

Faculty Coordinator : Dr. Bharati Harsoor

Reference Link: https://scholar.google.com/citations?view_op=view_citation&hl=en&user=QSHkp2QAAAAJ&citation_for_view=QSHkp2QAAAAJ:YOwf2qJgpHMC

Student Name : Radha B Kalaskar

Title of the Paper : An End-to-End Point of Cardiovascular Body Sensor Network with Cloud Service

Research Description : An End-to-End Point of Cardiovascular Body Sensor Network with Cloud Service

Faculty Coordinator : Dr. Bharati Harsoor

Reference Link: https://scholar.google.com/citations?view_op=view_citation&hl=en&user=QSHkp2QAAAAJ&citation_for_view=QSHkp2QAAAAJ:ULOm3_A8WrAC

Student Name : Radha B Kalaskar

Title of the Paper : A Real Time Big Data Analysis Framework Over Cloud for Pulse Oximeter Signal Analysis using Azure

Research Description : A Real Time Big Data Analysis Framework Over Cloud for Pulse Oximeter Signal Analysis using Azure

Faculty Coordinator : Dr. Bharati Harsoor

Reference Link: https://scholar.google.com/citations?view_op=view_citation&hl=en&user=QSHkp2QAAAAJ&citation_for_view=QSHkp2QAAAAJ:KlAtU1dfN6UC

Student Name : Radha B Kalaskar

Title of the Paper : A study on Healthcare Monitoring using Big Data through wireless sensor Networks

Research Description : A study on Healthcare Monitoring using Big Data through wireless sensor Networks

Faculty Coordinator : Dr. Bharati Harsoor

Reference Link: https://scholar.google.com/citations?view_op=view_citation&hl=en&user=QSHkp2QAAAAJ&citation_for_view=QSHkp2QAAAAJ:kNdYIx-mwKoC

Student Name : Radha B Kalaskar

Title of the Paper : A Survey of Mobility Management in Wireless Networks

Research Description : A Survey of Mobility Management in Wireless Networks

Faculty Coordinator : Dr. Bharati Harsoor

Reference Link: https://scholar.google.com/citations?view_op=view_citation&hl=en&user=QSHkp2QAAAAJ&citation_for_view=QSHkp2QAAAAJ:3fE2CSJIrl8C

Student Name : Radha B Kalaskar

Title of the Paper : A Survey of Mobility Management in Wireless Networks

Research Description : A Survey of Mobility Management in Wireless Networks

Faculty Coordinator : Dr. Bharati Harsoor

Reference Link: https://scholar.google.com/citations?view_op=view_citation&hl=en&user=QSHkp2QAAAAJ&citation_for_view=QSHkp2QAAAAJ:3fE2CSJIrl8C

Student Name : Radha B Kalaskar

Title of the Paper : Forecasting Ventricular Deviation in Monitoring of Live ECG Signal

Research Description : Forecasting Ventricular Deviation in Monitoring of Live ECG Signal

Faculty Coordinator : Dr. Bharati Harsoor

Reference Link: https://scholar.google.com/citations?view_op=view_citation&hl=en&user=QSHkp2QAAAAJ&citation_for_view=QSHkp2QAAAAJ:Zph67rFs4hoC

Student Name : Radha B Kalaskar

Title of the Paper : Hrudyalysis: A Novel Cloud-Based ECG Analytics Method

Research Description : Nowadays, people live in a world that is quite fast paced and competitive. All are running behind the money and success under the stress and fear of falling behind the race ignoring our health. Lack of physical activity due to shortage of time and acquiring the habit of intoxication for the purpose of releasing this stress make the matter worse for our heart. These are the two primary reasons for heart diseases in case of urban people. On the other hand, as the percentage of people staying in rural areas is more than urban areas, the people of rural India also suffer from heart diseases. Acquisition of urban lifestyle by rural people and inaccessibility to costly healthcare services are the two most important reasons for increasing rate of heart diseases in rural India. Even young adults are falling prey to heart diseases in an alarming rate. In short, the problem of heart-related diseases is being evolved as a matter of great concern in context to the Indian Territory. According to the WHO, coronary artery disease will take the form of epidemic in India by the year 2022. So, we need fast, efficient and low-cost devices for beforehand identification of symptoms related to the heart diseases. The most common device to identify and diagnose heart related diseases is the conventional 12-lead ECG device. But, there are various factors that pose complexities in diagnosing cardiovascular diseases by the 12-lead ECG devices. It is a costly device and it needs a trained person for handling complex and burdensome diagnosis method. In the context of unavailability of enough trained medical people this can be a great hindrance in preventing the epidemic of coronary

Faculty Coordinator : Dr. Bharati Harsoor

Reference Link: https://scholar.google.com/citations?view_op=view_citation&hl=en&user=QSHkp2QAAAAJ&citation_for_view=QSHkp2QAAAAJ:u-x6o8ySG0sC

Student Name : Shweta M Madiwal

Title of the Paper : Detection and classification of Skin cancer Using Color based Segmentation

Research Description : Abstract: Skin cancer can be defined as skin growths with differing causes and various degrees of malignancy. Skin cancer can also be referred to as Skin Neoplasm’s. Skin cancer develops on skin and so can be seen. The main cause of Skin cancer all over the world is UV radiations coming from the sun and it is estimated that Americans are greatly affected by skin cancers than the Africans and Asians. This is due to the fair complexion of their skin and so less melanin. Whereas Africans and Asians due to the high melanin content in the skin is far resistant to skin cancer .It has been statistically proven that fairer skin toned people are much prone to tanning and so is prone to skin cancer. Untreated cancers can cause serious illness and death. In this work the presented a method called automatic segmentation of skin lesion in conventional macroscopic images. The main idea of this paper is segmenting the skin lesion from macroscopic images a novel approach region merging likelihood based on the statistics to determine the merger of region in a stochastic manner. The RBFN then processes the computed features and classifies the skin lesion either as a benign or a malignant. The paper discusses with intermediate results on sample skin images.

Faculty Coordinator : Dr.Vishwanath Burkpalli

Reference Link: https://www.jetir.org/view?paper=JETIR1807702

Student Name : Ambika

Title of the Paper : Encryption-based steganography of images by multiobjective whale optimal pixel selection

Research Description : Information security involves hiding secret images, text, audio or video files within any other files that can be used to preserve the secret data from being theft by the third party. Recent works of the literature in steganography have the threat of secret information being retrieved by an anonymous user. Some techniques do not support some image formats for embedding. To overcome the disadvantages associated with the existing algorithms, we proposed encryption-based steganography. Encryption algorithms play vital roles to protect original data from unauthorized access. In this paper, the cover image is separated into RGB components separately. Multilevel discrete wavelet transform (DWT) transformation is applied over the transformed image components. Optimal pixels are selected using Multiobjective Whale Optimization. The secret image is split into RGB components. Encryption using Data Encryption …

Faculty Coordinator : Dr.Vishwanath Burkpalli

Reference Link: https://scholar.google.co.in/citations?view_op=view_citation&hl=en&user=HPc_pRQAAAAJ&citation_for_view=HPc_pRQAAAAJ:_FxGoFyzp5QC

Student Name : Ambika

Title of the Paper : Efficient Approach for Steganography Using DWT and RSA Algorithm

Research Description : Steganography is the mechanism of masking (i.e. hiding) the available data in other transmission area to achieve secure and secret transmission of data. Steganography is much secured technique and can also be applied for various file formats (Ex: Image, Video, Audio, text etc.). Several steganogrphic mechanisms are available for secret data or information hiding utilizing images. Steganography is one of the best data transmission method including security and privacy and it is utilizing in so many applications. In those applications, few applications require complete secret data invisibility and some applications require a big secret message hiding. This steganogrphic technique masks the secret or private data into the cover image. Transmission of secret information securely without data loss in the communication system inspired us to develop a proposed communication system. This proposed technique mainly comprises of two sections i.e. data transmission section and data extraction section. In data transmission section, sensitive data (i.e. secret data) is pre-processed and encrypted utilizing RSA technique or algorithm mean while preprocessing of cover image is performed and knight tour technique is utilized to make path for knight. Finally encrypted sensitive (secret)information or data is embedding with cover image utilizing DWT (Discrete Wavelet Transform). Similarly in the receiver section i.e. data extraction section, data is extracted by applying inverse transformation and RSA algorithm, hence resulting in secure transmission.

Faculty Coordinator : Dr.Vishwanath Burkpalli

Reference Link: https://www.ijeat.org/wp-content/uploads/papers/v8i5/E7351068519.pdf

Student Name : Ambika

Title of the Paper : BOOST: Medical Image Steganography Using Nuclear Spin Generator

Research Description : In this study, we present a medical image stego hiding scheme using a nuclear spin generator system. Detailed theoretical and experimental analysis is provided on the proposed algorithm using histogram analysis, peak signal-to-noise ratio, key space calculation, and statistical package analysis. The provided results show good performance of the brand new medical image steganographic scheme.

Faculty Coordinator : Dr.Vishwanath Burkpalli

Reference Link: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7516987/

Student Name : Ambika

Title of the Paper : Adaptive Artificial Bee Colony Algorithm and Optimum Pixel Adjustment Algorithm Based Image Steganography Method

Research Description : Adaptive Artificial Bee Colony Algorithm and Optimum Pixel Adjustment Algorithm Based Image Steganography Method

Faculty Coordinator : Dr.Vishwanath Burkpalli

Reference Link: IWT- GWO based Image Embedding using Steganographic Signcryption Algorithm

Student Name : Ambika

Title of the Paper : Encryption-based steganography of images by multiobjective whale optimal pixel selection

Research Description : Information security involves hiding secret images, text, audio or video files within any other files that can be used to preserve the secret data from being theft by the third party. Recent works of the literature in steganography have the threat of secret information being retrieved by an anonymous user. Some techniques do not support some image formats for embedding. To overcome the disadvantages associated with the existing algorithms, we proposed encryption-based steganography. Encryption algorithms play vital roles to protect original data from unauthorized access. In this paper, the cover image is separated into RGB components separately. Multilevel discrete wavelet transform (DWT) transformation is applied over the transformed image components. Optimal pixels are selected using Multiobjective Whale Optimization. The secret image is split into RGB components. Encryption using Data Encryption Standard, Advanced Encryption Standard and Signcryption algorithms is performed over R, G and B separated components, respectively. The encrypted image is embedded into the selected pixel point of cover image. Inverse DWT is applied to retrieve the stego image. The results are analyzed to prove low error rate with high secured secret image.

Faculty Coordinator : Dr.Vishwanath Burkpalli

Reference Link: https://www.tandfonline.com/doi/full/10.1080/1206212X.2019.1692442

Student Name : Ambika

Title of the Paper : A robust low frequency integer wavelet transform based fractal encryption algorithm for image steganography

Research Description : Image steganography is one of the emerging research areas in the field of information technology. In today's scenario, steganography is widely utilised in communication systems that send secret information through appropriate carriers. In this scenario, the secret information that embeds in the cover image is secret image. The primary objective of this paper is to develop a high level secure transmission technique to transmit messages through lossless channel. In this paper, an effective transform domain image steganography approach is proposed by employing lower frequency integer wavelet transform (IWT) and fractal encryption with the combination of L-shaped tromino theorem for enhancing the performance of information hiding method. The proposed methodology: IWT-fractal encryption delivers the advantage of better embedding capacity with low computational complexity and also provides better secret

Faculty Coordinator : Dr.Vishwanath Burkpalli

Reference Link: https://scholar.google.co.in/citations?view_op=view_citation&hl=en&user=HPc_pRQAAAAJ&citation_for_view=HPc_pRQAAAAJ:YOwf2qJgpHMC

Student Name : Priyadarshini Patil

Title of the Paper : Food image segmentation using edge adaptive based deep-CNNs

Research Description : Purpose Indian food recognition can be considered as a case of fine-grained type visual recognition, where the several photos of same category generally have significant variability. Therefore, effective segmentation and classification technique is required to identify the particular cuisines and fine-grained analysis. The paper aims to discuss this issue. Design/methodology/approach In this paper, the authors provided an effective segmentation approach through the proposed edge adaptive (EA)-deep convolutional neural networks (DCNNs) model, where each input images are divided into patches in order to provide much efficient and accurate structural description of data. Findings EA-DCNNs starts with developing a coarse map of feature that obtained through DCNN, afterwards EA model is applied to construct the final segmented image. Originality/value The training model of EA-DCNN consists of pooling, rectified linear unit and convolution, which help convolutional network to optimize the performance of segmentation in a significant extent, which is much practical and relevant in the context of food image segmentation.

Faculty Coordinator : Dr.Vishwanath Burkpalli

Reference Link: https://www.researchgate.net/publication/338499460_Food_image_segmentation_using_edge_adaptive_based_deep-CNNs

Student Name : Priyadarshini.Patil

Title of the Paper : Fine Grained Food Image Segmentation through EADCNNs

Research Description : The recognition of Indian food can be considered as a fine-grained visual recognition due to the same class photos may provide considerable amount of variability. Thus, an effective segmentation and classification method is needed to provide refined analysis. While only consideration of CNN may cause limitation through the absence of constraints such as shape and edge that causes output of segmentation to be rough on their edges. In order overcome this difficulty, a post-processing step is required; in this paper we proposed an EA based DCNNs model for effective segmentation. The EA is directly formulated with the DCNNs approach, which allows training step to get beneficial from both the approaches for spatial data relationship. The EA will help to get better-refined output after receiving the features from powerful DCNNs. The EA-DCNN training model contains convolution, rectified linear unit and pooling that is much relevant and practical to get optimize segmentation of food image. In order to evaluate the performance of our proposed model we will compare with the ground-truth data at several validation parameters.

Faculty Coordinator : Dr.Vishwanath Burkpalli

Reference Link: https://www.ijitee.org/wp-content/uploads/papers/v9i1/A3982119119.pdf

Student Name : Priyadarshini Patil

Title of the Paper : An efficient food image classification by inception -V3 based CNNs

Research Description : An efficient food image classification by inception -V3 based CNNs

Faculty Coordinator : Dr.Vishwanath Burkpalli

Reference Link: An efficient food image classification by inception -V3 based CNNs

Title : Mind Solvit, IT Park, Kalaburgai

Description : Minds Solvit Pvt. Ltd is established with core focus to build software and provide services to clients who would help them to reduce operational cost and empower them to focus more on their core business

Reference Files:

Reference Link:
https://fliarbi.com/legalities/minds-solvit-private-limited/u72200ka2013ptc070360/

Title : Crimson Innovative Technologies, Hyderabad

Description : CIT serves its customers through its R&D facility in Hyderabad, India. CIT offers Software Design, Development and testing Services in Data Science, Cloud Computing, Embedded & IoT

Reference Files:

Reference Link:
http://crimsoninnovative.com/

Title : Global Edge Technologies, Bangalore

Description : GlobalEdge is a product engineering company, constantly designing and defining the behavior of objects and things around us

Reference Files:

Reference Link:
http://www.globaledgesoft.com

Title : Clusters, Bangalore

Reference Files:

Title : Nihon Communication Private Limited Bangalore

Description : Nihon Communication Solutions Pvt.Ltd,(NCS) is incorporated in 2006 to focus on IT solutions for the Japanese & Indian Customers. We are into providing innovative and Enterprise computing

Reference Files:

Reference Link:
http://www.ncs-in.com

Title : KGTTI, KALABURAGI

Reference Files: