National Institute of Technology, Meghalaya

About: National Institute of Technology, Meghalaya is a education organization based out in Shillong, India. It is known for research contribution in the topics: Control theory & Computer science. The organization has 503 authors who have published 1062 publications receiving 6818 citations. The organization is also known as: NIT Meghalaya & NITM.

Identifying Psychological Theme Words from Emotion Annotated Interviews

Abstract: Recent achievements in Natural Language Processing (NLP) and Psychology invoke the challenges to identify the insight of emotions. In the present study, we have identified different psychology related theme words while analyzing emotions on the interview data of ISEAR (International Survey of Emotion Antecedents and Reactions) research group. Primarily, we have developed a Graphical User Interface (GUI) to generate visual graphs for analyzing the impact of emotions with respect to different background, behavioral and physiological variables available in the ISEAR dataset. We have discussed some of the interesting results as observed from the generated visual graphs. On the other hand, different text clusters are identified from the interview statements by selecting individual as well as different combinations of the variables. Such textual clusters are used not only for retrieving the psychological theme words but also to classify the theme words into their respective emotion classes. In order to retrieve the psychological theme words from the text clusters, we have developed a rule based baseline system considering unigram based keyword spotting technique. The system has been evaluated based on a Top-n ranking strategy (where n=10, 20 or 30 most frequent theme words). Overall, the system achieves the average F-Scores of .42, .32, .36, .42, .35, .40 and .40 in identifying theme words with respect to Joy, Anger, Disgust, Fear, Guilt, Sadness and Shame emotion classes, respectively.

Optimization of Local Ordering Technique for Nearest Neighbour Circuits

Abstract: Most quantum architectures restrict qubit interactions They allow a qubit to interact with another qubit only if they are directly connected, and this constraint is the nearest neighbour (NN) constraint If the interacting qubits are not adjacent, we need to insert swap gates appropriately to make them adjacent Since the insertion of swap gates increases the circuit cost, a minimal number of swaps has to be performed This paper illustrates the possibility of swap gate reduction for 2D NN circuits by better re-ordering of qubits using a multi-window look-ahead approach Using this technique, near optimal solutions for NN circuit conversion are obtained Experimental evaluation shows the effectiveness of our proposed local re-ordering algorithm for the reduction of swap requirements We have compared our results with the most recent results, and a significant improvement is observed, with a maximum of 375% swap gate reduction

Plant Leaf Recognition using Geometric Features and Pearson Correlations

Abstract: Plant identification is an important task that is necessary for professionals like biologists, chemists, botanists, farmers, and nature hobbyists. The identification of plants from their leaves is a well-known strategy. In this paper, we present a novel set of features based on Pearson correlation coefficients, and we show the applicability of the proposed features for the classification of plant leaves. The foremost contribution in this paper is the use of the Pearson correlation coefficient computed from the leaf boundary pixels for analyzing shape similarity. The method has been tested on two well-known plant leaf datasets, Flavia and Swedish. The method shows the accuracy level of 95.16% on the Flavia dataset and of 97.0% on the Swedish dataset. The results corroborate the strength of our proposed feature set in comparison with other available methods.

Optimum position of outrigger-belt system in a high-rise RCC building through pushover analysis

Abstract: This study aims to investigate the behaviour of high-rise RCC buildings with core and outrigger-belt system, and to find the optimum position for the outrigger-belt system in that building. For this purpose, Pushover Analysis is used to capture the seismic response for the buildings of 10, 15, 20, 25, and 30 storeys with varying positions outrigger-belt system. Pushover analysis is a static procedure which uses a simplified nonlinear technique to calculate seismic structural deformations. The position of outrigger-belt arrangement changes from the first storey to top storey of the 3D building models, which gives the data regarding the behaviour of the building models with the change in position of that arrangement throughout its height. The analysis of these building models is performed in two different directions using two different load patterns in each direction. The results depict the optimum positions of the outrigger-belt system depending on lateral load patterns, the direction of loading, and the height of a building. It also shows how the optimum position of an outrigger-belt system can affect the performance of the buildings, which is measured in terms of roof displacement, storey shear, the fundamental period of vibration, base shear, and performance point of the buildings.

Voltage stability and dynamic analysis of North-Eastern Indian power Grid

Abstract: In a power system, reliability and stability are important issues to be evaluated under different contingency conditions. This paper proposes the important observations made during stability and reliability analysis on North-Eastern Indian Grid. The dynamic modelling of the system is also presented with study of dynamic response of the system under different disturbances. Finally, the voltage stability analysis of North-Eastern Indian grid under different contingency conditions is analysed based on the PV and QV analysis under base case and also under different contingency conditions. These simulations are performed in PSS@E software.