North Eastern Regional Institute of Science and Technology

About: North Eastern Regional Institute of Science and Technology is a education organization based out in Itanagar, India. It is known for research contribution in the topics: Population & Raman spectroscopy. The organization has 813 authors who have published 1429 publications receiving 16122 citations.

An overview of small hydro power development in India

Abstract: India is a developing nation with 1.35 billion populations living in varied strata of living standards. Therefore, the energy demand is constantly increasing in an effort to accelerate industrial activities and boost the economy. The country mostly meets its electricity demand from fossil fuel. It has large generation capacity but in some remote and rural areas only 53% of the villages get electric supply for less than 12 hours a day. This is because of hilly and mountainous terrains especially in the north and north-eastern regions of the country and absence of utility grid owing to economic reasons. It is estimated that about 15% of country's population do not have access to electricity. With huge hydro potential in the country, especially in the Himalayan States, hydropower generation may be emphasized and pressed in to augment ever increasing energy demand. The emphasis should be on small hydropower (SHP) as construction of large hydropower involves huge capital cost and they are associated with various techno-economic and social issues. The article aims to provide important information for appropriate policy making in developing small hydropower in India.

Distributed Denial of Service (DDoS) Attacks Detection: A Machine Learning Approach

Abstract: Providing a secure communication environment is one of the greatest problem on the Internet. Distributed Denial of Service (DDoS) attacks are rapidly becoming a challenge to the global Internet. DDoS limits network capacity, which leads to loss of bandwidth. The research discussed in this paper demonstrates the utilization of Machine learning approaches for four types of DDoS attacks using valid network traffic data in the development of detection and classification model for DDoS attacks. In this research, the most recent dataset (i.e. CICDDoS-2019) which has current DDoS reflective attacks is used. For comparison, we have used another dataset, UNSW-NB15 dataset. The proposed model is evaluated using four performance metrics, viz., accuracy, precision, recall, F1 and prediction time. Experimental results of the model built demonstrated 99.92667% accuracy, 0.22 s predicting time in CICDDoS2019 and 96.2% accuracy, 0.12 s predicting time in UNSW-NB15 dataset in the instance of Random Forest classifier which is higher than other classification algorithms.

Performance comparison of diversity receivers over TWDP fading channels

Abstract: A signal propagating in wireless channels encounters fading effect, which degrades the performance of wireless communication systems. Information about the performance of communication systems is significant for assuring service availability and sustainability, as well as quality of service in telecommunication networks. Bit error rate, average output Signal to Noise Ratio, outage probability, amount of fading, level crossing rate, etc. are some of the important performance measures for communication systems. One of the efficient counteracting methods that can modify the disparaging outcome of fading for superior performance of receiver is the diversity combining. Some of the important diversity combining schemes are selection combining, equal gain combining and maximal ratio combining. A comparative study of these diversity receivers over two wave diffuse power have been carried out to evaluate the impact of fading parameters K and Δ on their performance.

Changes in Sunshine Duration in Humid Environments of Agartala (Tripura), India

Abstract: Study of changes in the global solar radiation is one of the key factors in sustainable agricultural production and management. Therefore, we investigated trends in the solar radiation using sunshine duration as a suitable alternative, based on the recommendation of the FAO Irrigation and Drainage—Paper No. 56, by using the Mann-Kendall (MK) test at different time scales in the humid environments of Northeast India. The average annual bright sunshine hours over Agartala is found to be 6.6 hours (h) with a standard deviation of 0.4 h and coefficient of variation of 6.4%. On annual (seasonal) time scale, statistically significant decreasing trends in bright sunshine duration through the MK test were observed at 5% level of significance at the rate of 0.245 h/decade (0.545 and 0.118 h/decade in winter and monsoon) over Agartala. Similarly, sunshine decreases were observed in the months of January, February, March, May, September, October, and December in the range of 0.237–0.688 h/decade. The observed decreases in sunshine duration modify the evapotranspiration process and affect the crop water requirements, which, in turn, will negatively influence the agricultural production in humid environments of Northeast India.