sobitha ahila

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Daniel D. Hutto

University of Wollongong

Galen Strawson

The University of Texas at Austin

Judith L Green

University of California, Santa Barbara

E. Wayne Ross

University of British Columbia

Don Ross

University College Cork

Alejandra B Osorio

Wellesley College

Shaun Gallagher

University of Memphis

Giulia Sissa

Ucla

Florin Curta

University of Florida

Roshan Chitrakar

Nepal College of Information Technology

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Papers by sobitha ahila

Energy efficient greedy tree based algorithm for data aggregation in wireless sensor network

Measurement: Sensors

Energy-efficient and sustainable communication in optical networks for eliminating path reservation criteria and providing guaranteed packet transmission between nodes

Neural Computing and Applications, Aug 1, 2023

Communication among nodes plays an important role in any system's throughput. In some architectur... more Communication among nodes plays an important role in any system's throughput. In some architecture, communication plays a bottleneck which degrades the computation power. However, making a highperformance computational system along with the energy-efficient system is incompatible in many cases. In this paper, we present a routing methodology in an optical networks on chip (O-NoC). The proposed methodology includes architectural design as well as algorithms working on that architecture. These algorithms are used to communicate among nodes, which eliminates path reservation criteria and provides guaranteed communication. Under some criteria, our methodology achieved excellent results in reducing design space complexity. Furthermore, we evaluated our results on synthetic traffic patterns which include random uniform and hotspot traffic patterns. The proposed methodology achieves better results in case of reduction in hop count between nodes, 100 % link utilization which eliminates ideal node and reduces algorithm running time that makes architecture more energy efficient. These achieved results may enhance computation power and communication power at the same time in O-NoC.

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Early Detection of Alzheimer’s Disease based on InceptionV3 and Machine learning Classifier using Neuroimaging

2022 3rd International Conference on Smart Electronics and Communication (ICOSEC), Oct 20, 2022

Exploration of Inverter’s Efficiency and Lifespan at Various Phases of the Evolution using Wide Band Gap Power Devices

2022 3rd International Conference on Smart Electronics and Communication (ICOSEC), Oct 20, 2022

Coronary heart disease monitoring system based on wireless sensors

International Journal of Advance Research, Ideas and Innovations in Technology, Nov 23, 2018

An intelligent cardiac auscultation is a process of monitoring the heart beat signals variations ... more An intelligent cardiac auscultation is a process of monitoring the heart beat signals variations of a patient monitoring system for monitoring the patient's health condition automatically through sensors based connected networks in the Internet of Things (IoT). It detects the critical condition of a patient by processing sensors data and instantly provides push notification to doctors. There is no process of monitoring of a particular cardiac disease which can lead to loss of life due to improper checkups and not following the lifestyle proposed by the doctor. In our proposed system, coronary heart disease monitoring based on wireless sensors are used to monitor the cardiac patient for 24/7 without any human intervention using piezoelectric sensors which are used to measure artery thickness by the flow of blood vessels and extract the waveform. The waveform is classified into the normal and abnormal waveform. This abnormal waveform is sent to the mobile application where it receives the data and plots the signal curves in real-time. The mobile application acts as the display device and has the capability to upload data to a cloud platform for further analysis and an intimation is sent to the cardiologist. The authorized Cardiologist can get access to the cloud platform to get the dataset and results via any peripheral devices which are equipped with specific software and diagnose the results. Keywords— Piezoelectric sensors, IoT, Mobile application

Identification of Malignant Attributes in Breast Ultrasound using a Fully Convolutional Deep Learning Network and Semantic Segmentation

2022 3rd International Conference on Smart Electronics and Communication (ICOSEC), Oct 20, 2022

Predicting the Frequency Bands and the Path Loss in Wireless Communication Systems using Random Forests

2022 3rd International Conference on Smart Electronics and Communication (ICOSEC), Oct 20, 2022

A Novel Approach to Multiagent based Scheduling for Multicore Architecture

In a Multicore architecture, each package consists of large number of processors. This increase i... more In a Multicore architecture, each package consists of large number of processors. This increase in processor core brings new evolution in parallel computing. Besides enormous performance enhancement, this multicore package injects lot of challenges and opportunities on the operating system scheduling point of view. We know that multiagent system is concerned with the development and analysis of optimization problems. The main objective of multiagent system is to invent some methodologies that make the developer to build complex systems that can be used to solve sophisticated problems. This is difficult for an individual agent to solve. In this paper we combine the AMAS theory of multiagent system with the scheduler of operating system to develop a new process scheduling algorithm for multicore architecture. This multiagent based scheduling algorithm promises in minimizing the average waiting time of the processes in the centralized queue and also reduces the task of the scheduler. We actually modified and simulated the linux 2.6.11 kernel process scheduler to incorporate the multiagent system concept. The comparison is made for different number of cores with multiple combinations of process and the results are shown for average waiting time Vs number of cores in the centralized queue.

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A Smart LoRa Assisted Accident Prevention Scheme using IoT Technology

2022 3rd International Conference on Smart Electronics and Communication (ICOSEC)

Identification of Malignant Attributes in Breast Ultrasound using a Fully Convolutional Deep Learning Network and Semantic Segmentation

2022 3rd International Conference on Smart Electronics and Communication (ICOSEC)

Predicting the Frequency Bands and the Path Loss in Wireless Communication Systems using Random Forests

2022 3rd International Conference on Smart Electronics and Communication (ICOSEC)

Exploration of Inverter’s Efficiency and Lifespan at Various Phases of the Evolution using Wide Band Gap Power Devices

2022 3rd International Conference on Smart Electronics and Communication (ICOSEC)

Design and analysis of agent based secure approach for e commerce recommendation

University, 2016

Demand Based Crop Prediction Using Machine Learning Algorithm

European Journal of Molecular & Clinical Medicine, Dec 17, 2020

Privacy enhanced data communication protocol for wireless body area network

2017 4th International Conference on Advanced Computing and Communication Systems (ICACCS), 2017

Wireless body area network (WBANs) is a kind of wireless sensor network which can be the various ... more Wireless body area network (WBANs) is a kind of wireless sensor network which can be the various sensors are attached on wearable clothing and human body and implanted under the skin. To ensure data security, the data is stored in cipher text format at the data sink by applying cipher text policy attribute based encryption in the sensors that are used. The major challenge of the wireless body area network is to establish a secure communication between the sensors and data sink until the third party access, while addressing the prevalent security and privacy concern. In the personal health monitoring system, there are no any proper security mechanism to ensure privacy at the data sink. In this paper, a Fully homomorphic encryption algorithm to implement the secure channel communication between the data sink and third party access and methods to improve health care monitoring in telecommunication system using the implantable devices which does not affect the mobility of the patients will be developed. The algorithm is used to securely retrieve the sensitive data from data sink and to instruct the sensors in a wireless body area network. It provides message authenticity and collision resistance also it evaluate the energy consumption and computation cost level.

An Empirical Research For Secured Storage And Protecting Unauthorized Access Of Organ Donor Details

International Journal of Engineering and Advanced Technology, 2019

Cloud computing is the on-demand availability of computer system resources, particularly data sto... more Cloud computing is the on-demand availability of computer system resources, particularly data storage and computing power, without direct active management by the user. Here an online organ donation system is developed with the help of the aforementioned technologies. The main aim of the paper is to make sure that the organs of the people, who have come forward to donate, reach the respective individual in need of the particular organ. Since everything is stored in the cloud, anybody can access it anytime, which in turn puts the data at risk. The secured sharing of donor detail is necessary. Encryption is done at two levels to provide security, one while the data is entered and the other done by a third party providing proxy re-encryption. Now, whenever a brain-dead patient is in the hospital, after thorough verification for any complications, the deciding parameters such as the organs that can be transplanted, blood group, presence of HIV positive and location, is compared with the...

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Multi Agent Based Aspect Ranking Review Summarization for Customer Guidance

Generally, any product has various features (also known as aspects). For example, a mobile phone ... more Generally, any product has various features (also known as aspects). For example, a mobile phone can have more than three hundred aspects, such as battery, design, multi-touch, and 3G network. It can be argued that some aspects are more important when compared to others, and have greater impact on the eventual consumers’ decision making as well as firms’ product development strategies. Identifying these important product aspects from the consumer reviews or feedbacks will increase the usability of reviews and is beneficial to both consumers and firms. It becomes easier for consumers to make wise purchasing decision by paying attention to the important aspects and can firm also concentrate on improving the quality of these aspects and this will enhance the product reputation effectively. However, it is tedious and time consuming for people to manually identify the important aspects of products from numerous reviews. Thus, this project proposes agent based product aspect ranking frame...

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Automated wireless flood warning system in remote areas

2016 IEEE Technological Innovations in ICT for Agriculture and Rural Development (TIAR), 2016

During a natural calamity, it is almost impossible to reach out to people and alert them. In orde... more During a natural calamity, it is almost impossible to reach out to people and alert them. In order to reach out and communicate to more people during floods, an idea to create a safety device, which measures the water level in the water body and alerts people if the level crosses the set threshold level, is being developed. A sensor is placed in the water body at the threshold level. If the level increases and is about to reach the threshold level, the device (raspberry pi) in the control room is indicated by the sensor. This will help people in evacuating more efficiently even in crucial times. The device will be a vital tool as well as a ray of hope to the people in difficult times.

State Of Art in Homomorphic Encryption Schemes

The demand for privacy of digital data and of algorithms for handling more complex structures hav... more The demand for privacy of digital data and of algorithms for handling more complex structures have increased exponentially over the last decade. However, the critical problem arises when there is a requirement for publicly computing with private data or to modify functions or algorithms in such a way that they are still executable while their privacy is ensured. This is where homomorphic cryptosystems can be used since these systems enable computations with encrypted data. A fully homomorphic encryption scheme enables computation of arbitrary functions on encrypted data.. This enables a customer to generate a program that can be executed by a third party, without revealing the underlying algorithm or the processed data. We will take the reader through a journey of these developments and provide a glimpse of the exciting research directions that lie ahead. In this paper, we propose a selection of the most important available solutions, discussing their properties and limitations.

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Survey on Eye Based Tracking Solutions for Pseudo Coma People

Journal of emerging technologies and innovative research, 2018

Machine learning algorithms are evolving in every industry -translating text, identifying faces i... more Machine learning algorithms are evolving in every industry -translating text, identifying faces in photographs, driving cars and so on. This paper is a survey on the use of machine learning for the communication of pseudo coma people. These people are affected by full body paralysis and can only blink their eyes, but they are cognitively active (able to understand what is happening around them and what people talk). Currently they have very few ways of communicating with normal people, some are very expensive while others are intrusive in nature. One way of effective communication for them would be by blinking their eyes in Morse code and a system to convert them into text or voice. The usage of the eye aspect ratio in finding the number of blinks would help in designing a cheaper

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Energy efficient greedy tree based algorithm for data aggregation in wireless sensor network

Measurement: Sensors

Energy-efficient and sustainable communication in optical networks for eliminating path reservation criteria and providing guaranteed packet transmission between nodes

Neural Computing and Applications, Aug 1, 2023

Download

Early Detection of Alzheimer’s Disease based on InceptionV3 and Machine learning Classifier using Neuroimaging

2022 3rd International Conference on Smart Electronics and Communication (ICOSEC), Oct 20, 2022

Exploration of Inverter’s Efficiency and Lifespan at Various Phases of the Evolution using Wide Band Gap Power Devices

2022 3rd International Conference on Smart Electronics and Communication (ICOSEC), Oct 20, 2022

Coronary heart disease monitoring system based on wireless sensors

International Journal of Advance Research, Ideas and Innovations in Technology, Nov 23, 2018

Identification of Malignant Attributes in Breast Ultrasound using a Fully Convolutional Deep Learning Network and Semantic Segmentation

2022 3rd International Conference on Smart Electronics and Communication (ICOSEC), Oct 20, 2022

Predicting the Frequency Bands and the Path Loss in Wireless Communication Systems using Random Forests

2022 3rd International Conference on Smart Electronics and Communication (ICOSEC), Oct 20, 2022

A Novel Approach to Multiagent based Scheduling for Multicore Architecture

Download

A Smart LoRa Assisted Accident Prevention Scheme using IoT Technology

2022 3rd International Conference on Smart Electronics and Communication (ICOSEC)

Identification of Malignant Attributes in Breast Ultrasound using a Fully Convolutional Deep Learning Network and Semantic Segmentation

2022 3rd International Conference on Smart Electronics and Communication (ICOSEC)

Predicting the Frequency Bands and the Path Loss in Wireless Communication Systems using Random Forests

2022 3rd International Conference on Smart Electronics and Communication (ICOSEC)

Exploration of Inverter’s Efficiency and Lifespan at Various Phases of the Evolution using Wide Band Gap Power Devices

2022 3rd International Conference on Smart Electronics and Communication (ICOSEC)

Design and analysis of agent based secure approach for e commerce recommendation

University, 2016

Demand Based Crop Prediction Using Machine Learning Algorithm

European Journal of Molecular & Clinical Medicine, Dec 17, 2020

Privacy enhanced data communication protocol for wireless body area network

2017 4th International Conference on Advanced Computing and Communication Systems (ICACCS), 2017

An Empirical Research For Secured Storage And Protecting Unauthorized Access Of Organ Donor Details

International Journal of Engineering and Advanced Technology, 2019

Download

Multi Agent Based Aspect Ranking Review Summarization for Customer Guidance

Download

Automated wireless flood warning system in remote areas

2016 IEEE Technological Innovations in ICT for Agriculture and Rural Development (TIAR), 2016

State Of Art in Homomorphic Encryption Schemes

Download

Survey on Eye Based Tracking Solutions for Pseudo Coma People

Journal of emerging technologies and innovative research, 2018

Download

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