Published in 2026
K.Thendral, R.Pazhani Murugan
A new isolated current-fed zero-current switched (ZCS) front-end dc/dc converter based multilevel inverter is proposed for multi-input applications. The proposed front-end converter with only two controllable switches integrates two different renewable energy sources, resulting in an advantageous compact structure and low conduction losses. The ZCS turn-OFF is achieved in both the controllable switches with the proposed modulation scheme. The converter maintains ZCS turn-OFF under a wide load, as well as input voltage variations by employing frequency modulation along with a variable duty ratio technique. Simple structure, soft switching, high gain, and automatic load regulation make the converter structure novel for simultaneous power management in multi-input renewable energy applications. Converter operation and design guidelines have been outlined. A laboratory prototype of the proposed converter is developed and tested at 300-W power level. Simulations and experimental results demonstrate the robust performance of the converter under load, as well as input source voltage variations.
DC/DC converter, multi-input converter (MIC), multilevel inverter, renewable energy (RE) source integration, zero current switching (ZCS)
V.Monisha, M.Saranya
This paper displays another power converter topology to stifle the torque swell because of the stage current replacement of a brushless dc engine (BLDCM) drive framework. A combination of a two level inverter (2-level inverter), a Super lift positive luo converter (SPLC), Fuzzy logic controller and a dc-bus voltage selector circuit is employed in the proposed torque ripple suppression circuit. For efficient suppression of torque pulsation, the dc-bus voltage selector circuit is used to apply the regulated dc-bus voltage from the positive super lift luo converter during the commutation interval. In order to further mitigate the torque ripple pulsation, the two level inverter is used in the proposed circuit. Finally, simulation results show that the proposed topology is an attractive option to reduce the commutation torque ripple significantly at low- and high-speed applications.
Brushless direct current motor (BLDCM), dc-bus voltage control, modified single-ended primary-inductor converter, three-level diode clamped multilevel inverter (3-level DCMLI), torque ripple, Fuzzy logic controller, Matlab / Simulink
E.Aruna, Dr.C.Venkatesan
A wind energy conversion system employing dq control has been proposed for extracting maximum power from a wind-driven PMSG feeding and feeding it to a three-phase utility grid. It consists of a diode bridge rectifier, SEPIC converter and a voltage source inverter (VSI) and fuzzy logic controller. Besides supplying power to the ac grid, the proposed scheme also feeds a local dc load, as the dc link voltage is maintained constant. The fuzzy logic controller is used for varying the duty ratio of the SEPIC converter to maintain the output dc voltage constant. The stability of the voltage is obtained by maintaining constant output voltage from the SEPIC converter. Therefore, by providing continuous supply to the voltage source inverter efficiency of the system is improved and also THD is reduced.
WECS, SEPIC converter, fuzzy logic controller, MATLAB.
S.B.Rajapriya, P.Alexraj, K.Kalpana
This paper presents a control of a micro-grid at an isolated location fed from wind and solar based hybrid energy sources. The machine utilized for wind vitality transformation is doubly fed induction generator (DFIG) and a battery bank is associated with a typical DC transport of them. A solar photovoltaic (PV) array is used to convert solar power, which is evacuated at the common DC bus of DFIG using a DC-DC Landsman converter in a cost effective way. It alters the frequency set point based on the energy level of the battery, which slows down over charging or discharging of the battery. The framework is additionally ready to work when wind control source is unavailable. It is high efficient and noiseless operation. A simulation results are presented for various conditions.
DFIG, PV panel, Fuzzy logic control,WECS,Simulink/Matlab.
A.Abirami, Dr.R.Uma Maheshwari
The Internet of Things (IoT) is inter communication of embedded devices using networking technologies. The IoT will be one of the important trends in future, can affect the networking, business and communication. In this paper, proposing a remote sensing parameter of the human body which consists of pulse and temperature. The parameters that are used for sensing and monitoring will send the data through wireless sensors. Adding a web based observing helps to keep track of the regular health status of a patient. The sensing data will be continuously collected in a database and will be used to inform patient to any unseen problems to undergo possible diagnosis. Experimental results prove the proposed system is user friendly, reliable, economical.
Internet of Things, Remote health, body sensor network, Automation Healthcare System
K.Kamarunnisha, R.Lakshminarayanan
Climate changes, rainfall and animals such as elephant entering the farm land and damaging the crop fields has been erratic over the past decade. Due to this in recent era, climate-smart methods called as smart agriculture is adopted by many Indian farmers. Smart agriculture is an automated and directed information technology implemented with the IOT (Internet of Things). IOT is developing rapidly and widely applied in all wireless environments. In this paper, sensor technology and wireless networks integration of IOT technology has been studied and reviewed based on the actual situation of agricultural system. A combined approach with internet and wireless communications, Remote Monitoring and controlling System (RMCS) is proposed. Major objective is to collect real time data of agriculture production environment in the agriculture land and animal monitoring that provides easy access for agricultural fac
Smart agriculture, Soil moisture sensor, IOT, Cloud networking, Wi-Fi networking, Animal monitoring
C.Natarajan, B.Venkatesan, S.Rajesh
Cloud storage is a model of computer data storage in which the digital data is stored in logical pools. Cloud storage services can be accessed through OWNCLOUD API (Application Program Interface) . OWNCLOUD is a suite of client–server software for creating and using file hosting services. OWNCLOUD is free and open-source, and thereby allowing anyone to install and operate it without charge on a private server.
Linux Operating System (UBUNTU 18.04). OWNCLOUD API.Ngrok (Port Forwarding).
R.Nandhakumar, Dr. Antony Selvadoss Thanamani
High Dimensional Non-Linear data reduction has become inevitable for pre-processing of high dimensional data. “Gene expression microarray data” is an instance of such high dimensional data. Gene expression microarray data displays the maximum number of genes (features) simultaneously at a molecular level with a very small number of samples. The copious numbers of genes are usually provided to a learning algorithm for producing a complete characterization of the classification task. However, most of the times the majority of the genes are irrelevant or redundant to the learning task. It will deteriorate the learning accuracy and training speed as well as lead to the problem of over fitting. Thus, High Dimensional Non-Linear data reduction of microarray data is a crucial preprocessing step for prediction and classification of disease. Various feature selection and feature extraction techniques have been proposed in the literature to identify the genes that have direct impact on the various machine learning algorithms for classification and eliminate the remaining ones. This paper describes the taxonomy of High Dimensional Non-Linear data reduction methods with their characteristics, evaluation criteria, advantages and disadvantages. It also presents a review of numerous dimension reduction approaches for microarray data, mainly those methods that have been proposed over the past few years.
DNA microarrays, High Dimensional Non-Linear data reduction, classification, prediction.
P.Kanagavalli, Dr.V.Karthikeyani
Website security is about keeping strangers out but also enabling controlled access to a network. Nowadays security on the wireless Internet is a crucial issue, so the Intrusion Identification System (IDS) is one of the solutions used to detect harmful attacks that threaten Internet security. The two main types of IDS are Misuse based Intrusion Detection Systems and Anomaly based Intrusion Detection Systems. In Misuse detection, the IDS analyzes the information it gathers and compares it to extensive databases of known attacks. While anomaly detection monitors the behaviour of the network, profile the normal behaviour and look for any anomalies. Data mining methods has been generally applied in the network intrusion detection system by extracting useful knowledge from vast number of network data and furthermore detect the intrusions. This paper gives an overview of existing strategies utilized for intrusion detection.
Wireless Sensor Network, Intrusion Detection System, Classification, Clustering, Key management and authentication
K.Ranjithsingh, Dr. D.Maruthanayagam
A MANET is a kind of wireless mobile network that can be easily established with the help of few infrastructure less connections. In such networks, every node is independent of its own and therefore can act as a router and execute the job of routing as well. In a public channel, the main reason of use the MANET is to propel the data protect between source and the destination. Trust mechanism is being used as substitute to the cryptographic technique. Trust mechanism protected the data forwarding by separating the nodes with malevolent intention using the trust value on corresponding nodes. It is an infrastructure-less network where the one mobile device link with other device wirelessly. Every device in MANET changes its movement and links in any direction often. Routing in MANET is the method of transfer the information from start node to destination node. For the period of the routing process, load balancing and energy consumption are the challenging issue to get better the network lifetime. In addition, security plays main part during the data transmission from source node to destination. This paper focuses routing performance in the Mobile Adhoc Networks (MANETs) relies on the support of the individual nodes that form the network. Secured routing is process of preserving the information from unauthorized users during data transmission in MANET. In this paper reviews for various researchers have carried out their previous work related to routing mechanism in MANET by using trade model.
Mobile Ad Hoc networks, Routing mechanism, Trust model, trust, Trust computation, Mobile networks and Attacks.