Tripura Institute of Technology

About: Tripura Institute of Technology is a based out in . It is known for research contribution in the topics: Electric power system & Renewable energy. The organization has 63 authors who have published 92 publications receiving 510 citations.

Design of high speed and low power full adder in sub-threshold region

Abstract: To solve the serious problem of threshold loss that causes non-full-swing at the out-put of 1-bit full adder, an arrangement in which all the transistors are forced to operate in sub-threshold regime is proposed in this paper. But this will in turn bring additional area and delay overhead. In this work, full swing at the output of 1-bit full adder is retained with reduced area and delay overhead. An additional capacitor working in the differential voltage mode will be replacing the transistor that is used to reduce the threshold loss problem at the output of 9T based full adder as discussed in this paper. Previous works related to this domain concerns about reduction of power of only 1-bit adder. The work targets power and area reduction of 1/4/8/16 bit adders. Proposed adder shows maximum total power saving of 46.87 % and 25.99 % with respect to 8T and 9T adder configurations respectively.

A smart system of 3D liver tumour segmentation

Abstract: An efficient segmentation of liver tumour and volumetry facilitates medical experts to resolve the rate of tumour growth and follow up treatment. In this paper, a smart system for semi-automatic segmentation of liver tumour from medical images based on Geodesic active contours using level set method is proposed. The system passes through following stages. After the image is loaded, the Region of Interest (ROI) is selected and the Geodesic Active Contours with level set methods are initialised. Then segmentation result is updated to extract the tumour in three dimensions. The liver tumours detected by the system were compared with those delineated manually by experts, used as the ground truth results. The system was evaluated on Computed Tomography images of different datasets of tumours and compared with other methods. The result of proposed system obtained the Dice SC 0.948 and Jaccard SC 0.902 exhibits the steadfastness and effectiveness of the system.

An Experimental Study of Performance and Emission Characteristics of a Diesel Engine Fueled with Palm Kernel Methyl Ester with Ethanol Additive: A Fuzzy-Based Optimization Approach

Abstract: Researches on alternate fuels have been gaining the attention of researchers worldwide due to the energy crisis. The fossil fuel sources which are used as the most important resource of energy at present are not enough to meet the increasing energy demand. The whole world is now searching for renewable energy sources. Biodiesel reduces the emission of harmful gases to the environment. Biodiesel was produced from the palm kernel oil using transesterification process. In the present experiment, the engine was fueled with diesel and blends containing 5, 10, and 15% of palm kernel methyl ester. The developed Multi-Input Multi-Output (MIMO) fuzzy model predictions show the correlation coefficients in the range 0.908–0.998 for B15 as it has given a better performance and emission than other blends.

IoT-Based Smart Irrigation and Related Environment Parameters Monitoring: An Empirical Review

Abstract: Agriculture is the backbone of economy. The agrarian economy mainly depends on two parameters viz—weather monitoring and irrigation monitoring. Real-time weather monitoring is an important tool to visualize climate conditions prevailing in a field to solve production of crop and its yield associated problems by better understanding of surrounding weather. The main aim is to view weather conditions of any agricultural field and on-demand access of the current data of any near and remote locations of an agricultural field. Also, with discontinuous monsoon, farmers have to use other unsupervised alternate means of freshwater for the crops leading to scarcity of water. Therefore, farmers are facing challenges to make best irrigation schedules. The ever-augmenting technologies like Internet of Things (IoT) paved the way for smart weather stations and smart irrigation management with the help of wireless sensors to sense data for adapting changes of crop design, remote field site, and irrigation patterns taking into account all sort of environment constraints. IoT is capable to sense data, monitor, accurately predict climate conditions and is capable to limit water wastage, thus improving overall crop yield. This paper offers a detailed review of the broader aspect of IoT-based smart agriculture system depending on weather and irrigation.