Jyoti R Munavalli

B. N. M. Institute of Technology | BNMIT · Department of Electronics and Communication Engineering

Brain–Computer Interface (BCI) is a technology that facilitates the communication between the brain and the machine. It is a promising field that has lot of potential to be tapped for various applications. To begin with, this chapter explains the basics of the brain and its function. It describes the BCI technology and the steps: from signal acquis...

Long waiting times in outpatient clinics have multiple adverse effects on patients and their attendants, staff and hospital management. Several approaches practiced to manage the cycle time have been proposed. The purpose of this study was to evaluate the impact of implementing closed-loop based multiple approaches together. This study was conducte...

Long waiting times in outpatient clinics have multiple adverse effects on patients and their attendants, staff and hospital management. Several approaches practiced to manage the cycle time have been proposed. The purpose of this study was to evaluate the impact of implementing closed-loop based multiple approaches together. This study was conducte...

In recent times, it is observed that many technologies converge to result into efficient systems. Among others, internet of things has wide applications. IoT is a collective network of devices that collect data, compute, communicate, and act accordingly. The data surge has resulted in various kinds of data analytics for which machine learning and d...

There are number of languages around the world and knowing all the languages is very difficult for any person. At the same time, unawareness about the language will hinder communication. Language identification is the process where the identifying the language(s) in text form is performed based on the writing style and looking at the unique diacrit...

The area of autonomous vehicles is of huge research interest and much has been accomplished in this area. This study involves three aspects: lane detection, object detection, and autonomous driving. Lane detection and object detection has been simulated in the CARLA simulator using TensorFlow and OpenCV libraries of Python. Canny edge detection alg...

Evolutionary algorithms, such as genetic algorithms have been used in various optimization problems. In this paper, we propose to apply this algorithm to obtain the layout design/redesign in order to improve the patient flow in an outpatient clinic. Layout designs are planned considering long-term requirements whereas the layout keeps modifying as...

This study demonstrates that studying management and entrepreneurship curriculum is an important component during engineering education. A pre-survey was conducted to understand the preconceived knowledge about management and entrepreneurship among students. Later, after the completion of the course, a post-survey was carried out to observe the imp...

Data retrieval is an important aspect of data management. In this paper, we design an ANN to recognize the learned patterns. We use a three-layer feed-forward network for the training of patterns (bitmap data). We implement two kinds of recognition: forced recognition and custom-specific recognition. The ANN model developed recognizes the pattern e...

Brain Computing Interface (BCI) technology is a promising field to reinstate the information to patients suffering from Neurological Disorders. In this paper we will be taking a look at the signal acquisition techniques used in the BCI system, it suggests which technique is best to acquire the brain signals. The pre-processing methods that are used...

The performance of outpatient clinics is measured through waiting times and resource utilization and the reasons for low performance is often viewed as operations issues: planning, scheduling and coordination between resources and patients. In this study, we show that layout design also contributes towards operations management. Here we propose wor...

Hospital systems are under constant pressure to provide quality care despite limited resources. However, traditional capacity management in hospitals is often not effective enough. One reason for this is the variability and uncertainty in the healthcare field that has to be managed. Another reason is the observation that hospitals are open loop sys...

Scheduling of resources and patients are crucial in outpatient clinics, particularly when the patient demand is high and patient arrivals are random. Generally, outpatient clinic systems are push systems where scheduling is based on average demand prediction and is considered for long term (monthly or bimonthly). Often, planning and actual scenario...

Diabetes is a condition which is detected when the blood glucose levels in the body is high due to the lack of presence of Insulin. Increased sugar levels in blood leads to complications like heart diseases and stroke. With increased use of Machine Learning techniques in the healthcare sectors, it becomes particularly important to detect diabetes i...

Locust Invasion is a major problem to crops and also vast unused fields in many parts of the world. This paper proposes an idea to make use of Artificial Intelligence for real time locust management. Artificial Intelligence Drone has the ability to identify and kill the locust swarms in real time. This paper explains about locust, their life cycle,...

Advancement in the Artificial Intelligence (AI) and Machine Learning (ML) has influenced complex designs to be integrated in Very Large-Scale Integration (VLSI) Design. Designers are concentrating on high speed and low power techniques to facilitate the needs of the technology requirements. In multiple AI applications, Digital Signal Processor is t...

Abstract Natural Language Processing is a field that is concerned with interactions between humans and computers using the natural language or the language that humans use. It focuses on making the computers understand the language of humans and to process it to collect information. This field has proved to be very useful in several areas. In this...

This study addressed the problem of scheduling walk-in patients in real time. Outpatient clinics encounter uncertainty in patient demand. In addition, the disparate departments are locally (department-centric) organized, leading to prolonged waiting times for patients. The proposed integral patient scheduling model incorporates the status and infor...

The field of Computer networks has grown tremendously in the recent past and still has scope to grow and create a lot of opportunities in this area. In this paper, we highlight the recent trends in computer networks and their applications. A literature review was carried out on different topics and synthesized. The survey on recent trends in comput...

With the ageing population the demand for healthcare has increased extremely. Healthcare has embraced technology significantly. The innovations are weaved around big-data and semiconductor industries. Henceforth, this paper reviews the literature on healthcare, big-data and VLSI technologies with reference to each other. The review focuses on the i...

Technological innovations in healthcare are bringing a huge change in care and delivery system. Technology has improved accessibility as well as affordability in healthcare. But, does this technology provide the humane emotions that improve the patient experience. This article examines the technology role and humane concerns in healthcare and concl...

Background and context Resource planning is performed ahead of time within outpatient clinics (OPC). Due to local control of operations (department-centric decision-making) and limited resources, OPCs cannot handle high variability and uncertainty in demand. There is always a difference between planning and reality, and this leads to operational pr...

India in 2001 had 7.75 million individuals blinded by cataracts. By 2020, this will rise to 8.25 million, next highest after diabetics. Eye care (ophthalmology) needs an accessible, affordable and high-quality approach. This article treats problems in its workflow, and ways to make it accessible and affordable. The widening demand–supply gap makes...

A comparative analysis of the healthcare systems in different countries, identify the challenges in Indian healthcare and give recommendations to improve the system

India needs accessible, affordable and high-quality healthcare. This paper deals with the challenges and opportunities in Indian Healthcare. We discuss the details of the healthcare system of India: its structure, expenditure by public and private, the presence of the alternate medicines and its impact on Indian healthcare and the management of hea...