Dhivya Manian

Visit To NGO Madhu Mansion Charitable Trust

IEEE, NHCE Women in Engineering Affinity Group in association with IEEE, NHCE Student Branch, organised a Corporate Social Responsibility (CSR) activity on the occasion of IEEE Day.

An NGO visit was exclusively organized for the office bearers and volunteers of IEEE Women In Engineering AG of NHCE on the first day of IEEE week to Madhu Mansion Charitable Trust on the 10th of October, 2022. The volunteers eagerly created a list of activities to be carried out for the orphanage's children. There were 45 kids living in the orphanage, all of whom were eager to learn and interact with the volunteers.

Resource Person: Dimitrios A.Karras

Dimitrios A. Karras received his Diploma and M.Sc. Degree in Electrical and Electronic Engineering from the National Technical University of Athens (NTUA), Greece in 1985 and the Ph. Degree in Electrical Engineering, from the NTUA, Greece in 1995, with honours. From 1990 and up to 2004 he collaborated as visiting professor and researcher with several universities and research institutes in Greece. Since 2004 he has been with the Sterea Hellas Institute of Technology, Automation Dept., Greece as associate professor in Digital Systems and Signal Processing, till 12/2018, as well as with the Hellenic Open University, Dept. Informatics as a visiting professor in Communication Systems (the latter since 2002 and up to 2010). Since 1/2019 is Associate Prof. in Digital Systems and Intelligent Systems, Signal Processing , in National & Kapodistrian University of Athens, Greece, School of Science, Dept. General. He is, also, adjunct professor with GLA University. Mathura, India and BIHER, BHARATH univ. India as well as with EPOKA and CIT universities Tirana. Moreover, he is with AICO EDV-Beratung GmbH as senior researcher as well as Director of Research and Documentation at ADIafrica N. G. O. He has published more than 70 research refereed journal papers in various areas of pattern recognition, image/signal processing and neural networks as well as in bioinformatics and more than 185 research papers in International refereed scientific Conferences. His research interests span the fields of pattern recognition and neural networks, image and signal processing, image and signal systems, biomedical systems, communications, networking and security. He has served as program committee member in many international conferences, as well as program chair and general chair in several international workshops and conferences in the fields of signal, image, communication and automation systems. He is, also, former editor in chief (2008-2016) of the International Journal in Signal and Imaging Systems Engineering (IJSISE), academic editor in the TWSJ, ISRN Communications and the Applied Mathematics Hindawi journals as well as associate editor in various scientific journals. He has been cited in more than 2469 research papers (https://scholar.google.com/citations?user=IxQurTMAAAAJ&hl=en), his H/G-indices are 20/50 (Google Scholar) and his Erdos number is 5. His RG score is 31.66

1. “COVID WARRIORS: An insider’s view” by Dr. Rakshith K. R,
2.  “Choices, challenges and success: the road to women
    entrepreneurship”
3. “The upsurge of Machine learning”
4.  “MIND SPARK “
5. “THE MIND TALK : Journey to leadership and healthy minds”

Energy Efficient techniques and management schemes are essential in Wireless Sensor Network, as sensor nodes are power constrained. This paper proposes an algorithm for energy efficient routing of Wireless Sensor Networks using an Alternate Medium Access Control Scheduling with Harris Hawks Optimization. A simple Mesh structure is proposed, by scheduling the alternate nodes to sleep/ awake and communicate the information to sink through Harris Hawks Optimization. The simulation results show that, AL-HHO optimization provides a design alternative that achieves significant energy savings by shortest path routing. The results also show that AL-HHO achieves longevity of the network on comparison with the traditional methods.

Vision and Mission statements are vital constituencies for the strategic management of Academic and Industrial organizations. The Mission statements accomplish legendary Vision statements. The renowned Vision statements are created and defined based on short-term goals and long-term goals of the organization. This research paper deals with the formulation of Vision, Mission statements of the Department and Program Educational Objectives of the curriculum. The article is based on structured information from various sectors of people like academic Experts, Industry Experts, Parents, Students, and Alumni. This research gives an insight into the formulation, dissemination, and consistency of Vision, Mission, and Program Educational Objectives through proper illustrations. This paper also highlights Evaluation Guidelines with indicative exhibits required for an accreditation process.

ABSTRACT Energy efficient techniques and management schemes are essential in a wireless sensor network, as sensor nodes are power constrained. To restrain the energy problem, it is important to have efficient deployment, scheduling mechanisms and routing schemes. In this paper, heuristics and optimisation techniques for sensor networks are analysed based on their algorithmic attributes for energy efficiency. A detailed view of various swarm intelligence techniques is discussed in context of clustering, routing and MAC applications. The proposed techniques and algorithms are discussed and compared through simulation results.

This paper presents generalised particle approach (GPA) to optimise bandwidth allocation and QoS in ATM networks. The generalised particle approach transforms the network bandwidth allocation problem into kinematics and dynamics of numerous particles in a force field. ATM traffic is bursty in nature; the dynamic bandwidth allocation is an important factor for network performance. The network utilisation is reasonably attained by dynamically allocating the bandwidth. In this approach of ATM network optimisation, GPA deals with variety of phenomena like congestion, failure and interaction. The payment policy of ATM network path determines the bandwidth allocation of network link. It changes dynamically to the situation of demands and supplies of bandwidth. The path particle and link particle move in their respective force fields and the bandwidth allocation is done through an iterative procedure. The algorithm is simulated using the MATLAB. The performance of network based on GPA is compared with the max-min fairness (MMF) algorithm. The GPA algorithm based control of network has better network bandwidth utilisation, success rate and price allocation.

In this paper two novel adaptation schemes
are proposed to replace the classical PI controller used
in  model  reference  adaptive  speed-estimation  schemes
that  are  based  on  rotor  flux.  The  first  proposed
adaptation scheme is based on sliding-mode control and
the  adaptation  law  is  derived  using  Lyapunov  Theory
to  ensure  estimation  stability,  as  well  as  fast  error
dynamics. The other adaptation mechanism is based on
neural  network  .This  new  technique  uses  an  artificial
neural network (NN) as a rotor flux observer to replace
the  conventional  voltage  model. Here  a  comprehensive
study  of  the  MRAS,  Sliding  Mode  Controller  and
Neural  Network  has  been  formulated.  The  learning
algorithm  for  proposed  scheme  can  be  planning  to
implemented  using  a  Back  Propagation  Algorithm
which  has  been  successfully  for  a  wide  variety  of
applications.

... 4.1 Cuckoo Search CS is an optimisation algorithm developed by Yang and Deb (2009). It is a novel algorithm which is inspired by the obligate brood parasitism of some cuckoo species by laying their eggs in the nests of other host birds of other species. ...

ABSTRACT Wireless sensor networks are generally composed of densely deployed sensor nodes that collaboratively sense, compute and communicate the sensed information. Routing in sensor networks is based on energy optimisation and quality of service. In this paper, a meta-heuristic technique comprising particle swarm optimisation and Tabu search (TS) is used for energy efficient routing in sensor network. The hybrid approach has better network performance compared with the traditional approaches, simple particle swarm algorithm and TS, respectively. Experimental results penlight the efficacy of the proposed approach.

Visual impairers are not a new augury for the society. It is a condition of deficient visual perception. Accessibility in the anonymous environment for the visually challenged individuals is more critical. They are more prone to fall in accidents since they cannot discern their surroundings. The wide availability of equipment’s which help the blind people are quite expensive and cannot be easily expanded. Moreover the most of the techniques prevailing to aid them with the help of IR sensors do have a drawback i.e. in the presence of the sunlight it won’t produce an efficient result. For overcoming these drawbacks, the current paper contributes two concepts. The First concept deals with the identification of hindrance such as trees trunk, opened doors, stair case, etc. This is done with the help of an Obstacle Detection Unit (ODU) which discovers the obstacle that are against the visually impaired by capturing the image of the object present. In the latter case, Navigation Tracking Device (NTD) delivers route for the impaired where they wish to proceed without any human assistance.

The paper proposes an embedded system to monitor and control the environmental parameters inside a greenhouse. The parameters include temperature, humidity, CO2 concentration and light intensity. The control actions can be water spray, fog spray, LEDs etc. The sensor nodes form a Wireless Sensor Network. The primary node in the network will send the values to the user PC via GSM module. It accepts the command from PC and transfer in the network.

One of the major concerns in using IoT devices is life of the battery, especially in remote places where power resources are limited. By employing certain low powered sensors, the IoT devices with higher power consumption can be activated only when required. In this paper, a methodology is proposed for reducing the consumption of power in an IoT device which sends data from a RFID tag to an output file. The consumption is reduced by implementing sleep mode when, the device is not required to be active, and a wakeup signal and studying the impact it has on the power consumption. An energy harvesting device is also integrated to make the device selfsustainable. a. The factor of energy consumption is not considered while choosing the hardware components for the network, rather it is chosen based on its specifications. Thus, when the devices are connected in a network, thus the overall energy consumption increases.[2] b. The application developers usually do not get the feedback on energy consumption of each device thus impacting the usage.[2] c. The protocols defining the energy management have not been fully implemented.[2]

Semantic Segmentation is extensively utilized in fields like Medical, Surgery planning, Seismic imaging, Machine vision, etc. It divides each pixel of unique image into separate classes. Marine predator's algorithm is the meta heuristic algorithm which excited us to utilize for semantic segmentation with regard to products of agriculture. This paper compares wide variety of algorithms along with advantages and disadvantages for semantic segmentation and This algorithm has been selected for procedure of semantic segmentation as to differentiate a crop and weed successfully.

• Basic electronics and embedded programming
• ARDUINO basics with interfaces
• NodeMCU Wi-Fi Development kit Introduction
• MQTT Protocol Overview
• IFTTT and Adafruit Configuration
• Google Actions - Overview
• Relay Interface
• Voice Controlled Connected Devices

Research Workshop on CHALLENGES AND FUTURISTIC ISSUES IN EMBEDDED SYSTEM DESIGN

Organized by:
Center for Research
&
Department of Electronics and Communication Engineering

Date: 29 & 30.09.2016

Resource Persons:
Ms.Lyla.B.Das,
Associate Professor
Department of Electronics and Communication Engineering, National Institute of Technology, Calicut,Kerala

Mr. MrithyunjaySiv,
Project Coordinator, Digital Shark Technology, Bangalore

Registration Fees:
- UG Students: Rs.600/-
- PG Students: Rs.750/-
- Faculty/Research Scholar: Rs.800/-
- Industry/Research Organization: Rs.1000/-

Important Dates:
- Last date of registration: 23.09.2016
- Intimation of Selection: 26.09.2016

1. What is Avionics. State the role and importance of avionics. Avionics is a word derived from the combination of aviation and electronics. The term avionic system or avionic subsystem is to mean any system in the aircraft which is dependent on electronics for its operation. The avionics industry plays a vital role in multi-billion dollar industry worldwide and the avionics equipments accounts for around 30% of total cost of aircraft. The avionic systems are essential to enable the flight crew carry out the aircraft mission safely and efficiently. 2. Illustrate the overall picture with the roles and functions of Core Avionic Systems. 3. Enumerate the systems which interface directly with the pilot. The various systems which interface directly with the pilot are displays, communications, data entry and control and flight control. The display system provide the visual interface between the pilot and the aircraft systems. The data entry and control systems are essential for crew to interact with the avionic systems. The flight control system comprises of auto stabilization and FBW flight control systems. These systems form the first layer in avionics tasks and functions. 4. Write Short notes on aircraft state sensor systems. Aircraft state sensor systems is the second layer in avionics specific tasks and functions. The Air Data Systems and Inertial sensor systems are the classification of aircraft state sensor systems. The Air data systems provide accurate information on their data quantities which is essential for control and navigation of the aircraft. The inertial sensor systems provide information for the pilot to execute a manoeuvre or flying in conditions of poor visibility. 5. What is meant by Dead Reckoning Navigation System? List the types of DR Navigation systems. Dead Reckoning Navigation Systems derive the vehicle's present position by estimating the distance traveled from a known position from knowledge of the speed and direction of motion of vehicle. The main types of DR navigation systems used in aircraft are: 1. Inertial Navigation Systems. 2. Doppler/Heading Reference Systems 3. Air Data/Heading Reference Systems 6. What is the function of Outside World Sensor Systems? The outside world sensor systems comprise both radar and infrared sensor, which enable all weather and night time operation and transform the operational capability of the aircraft (or helicopter). The Radar Systems installed in civil airliners and many general aviation aircraft provide weather warning. The Infrared Sensor Systems can be used to provide a video picture of the thermal image scene of the outside world either using a fixed FLIR sensor, or a gimbaled IR imaging sensor.

A flower is vibrant and stunning when it blossoms with its Petals. A woman is vivacious and spirited, when surrounded with good petals-pals and peers. Every woman needs a shoulder to cry, a hands to give five, a back to tap, a lap to sleep and a legs to tapper. To create a joyful Present and future, chuck out the daily stress n downs with the reckoning petals of life.

Concept of state, state variables and state model,
State models for  Linear continuous time systems (SISO,)
Derivation of transfer function from state models and vice versa,
Diagonalization- Solution of state equations – state transition matrix and its properties,
Controllability and Observability