615 research outputs found

    Evaluation of FAOAqua Crop model for wheat under different irrigation regimes

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    The experiment was conducted at the research farm of the Water Technology Centre, IARI, New Delhi during rabi seasons of 2010-11and 2011-12. Irrigation treatments include irrigation applied at 50% deficit (W1) and 25 % deficit (W2) and full irrigation (W3) under recommended fertilization levels with split doses of N-fertilizer. Fullirrigation treatment was based on irrigations to meet the soil moisture deficit up to the field capacity (FC) level and deficit irrigation treatments of 25% and 50% were imposed with respect to the full irrigation.The model was calibrated with experiment generated data sets of rabi 2010-11 and validated using the data set of rabi 2011-12. It was observed that the validated model performed well for grain yield prediction with absolute prediction error of 2.9%, 0.91% and 7.85% for full, 25% deficit and 50% deficit irrigation levels, respectively. Also, for prediction of biomass yield the prediction error ranged from 11.81% to 28.96% for all three irrigation treatments. Moreover, the validated model was observed to predict the water productivity with absolute prediction errors of 43.57%, 13.87% and 12.8% for full, 25% deficit and 50% deficit irrigation treatment levels, respectively. Nonetheless, it was observed from this study that the AquaCrop model can be used to simulate the grain and biomass yield for wheat crop with acceptable accuracy under different irrigation regimes in a semi-arid enviroment

    Distribution and Attachment of Bryozoans in the Intertidal Region of South Andaman Island

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    Aiming to collate the distribution and the attachment preference of intertidal bryozoan of Andaman waters, a study was carried out in three intertidal sites (Burmanallah, Kodiyaghat, and Chidiytapu) of southeastern coasts of the Andaman Islands between June and August 2016. The present study is the first exclusive report on bryozoans from the Andaman Islands after a long research gap of nine decades. During our investigation, a total of twelve genera were identified from both calcareous and non-calcareous substratum. Out of the twelve genera, eight genera were new records from the island. The present study showed that the attachment affinity of the Bryozoans is more towards natural substratum particularly on the rocks. The Thalamoporella sp. reported the most abundant species with maximum average colony length of 3.5 cm from the rock substratum

    Infrequent pattern detection for reliable network traffic analysis using robust evolutionary computation

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    While anomaly detection is very important in many domains, such as in cybersecurity, there are many rare anomalies or infrequent patterns in cybersecurity datasets. Detection of infrequent patterns is computationally expensive. Cybersecurity datasets consist of many features, mostly irrelevant, resulting in lower classification performance by machine learning algorithms. Hence, a feature selection (FS) approach, i.e., selecting relevant features only, is an essential preprocessing step in cybersecurity data analysis. Despite many FS approaches proposed in the literature, cooperative co-evolution (CC)-based FS approaches can be more suitable for cybersecurity data preprocessing considering the Big Data scenario. Accordingly, in this paper, we have applied our previously proposed CC-based FS with random feature grouping (CCFSRFG) to a benchmark cybersecurity dataset as the preprocessing step. The dataset with original features and the dataset with a reduced number of features were used for infrequent pattern detection. Experimental analysis was performed and evaluated using 10 unsupervised anomaly detection techniques. Therefore, the proposed infrequent pattern detection is termed Unsupervised Infrequent Pattern Detection (UIPD). Then, we compared the experimental results with and without FS in terms of true positive rate (TPR). Experimental analysis indicates that the highest rate of TPR improvement was by cluster-based local outlier factor (CBLOF) of the backdoor infrequent pattern detection, and it was 385.91% when using FS. Furthermore, the highest overall infrequent pattern detection TPR was improved by 61.47% for all infrequent patterns using clustering-based multivariate Gaussian outlier score (CMGOS) with FS

    A novel energy-efficient sybil node detection algorithm for intrusion detection system in wireless sensor networks

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    A Wireless Sensor Network (WSN) is vulnerable to different types of security attacks where the attackers could easily intrude into the network and could cause inexplicable destruction by disrupting the expected functionalities of the network. Severe drainage of battery may occur due to the attacks and as a result, the lifetime of the network may decrease drastically. In this paper, an energy-efficient integrated Intrusion Detection System (IDS) is proposed to detect network layer Sybil attack. Our scheme spots out accurately and purges out the Sybil node which may falsely behave as a genuine node. The experimental results show that the critical factor in WSN, energy is conserved more efficiently by the proposed scheme than the existing alternative methods. Also, accurate detection of the malicious node is possible spending relatively less energy

    Effect of Nozzle Pressure Ratio and Control Jets Location to Control Base Pressure in Suddenly Expanded Flows

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    In this paper, computational fluid dynamic (CFD) analysis and experiments have been carried out to study the effect of nozzle pressure ratio, i.e. the ratio of inlet pressure to atmospheric pressure, and the pitch circle diameter of the control jets to regulate the base pressure. The variables considered for the analysis as well as the experiments are the nozzle pressure ratio (NPR), the Mach number (M) and the pitch circle diameter (PCD) of the control jets. The area ratio considered for the study is kept constant at 4.84 while the length to diameter (L/D) ratio of an enlarged duct is set constant at 5. The inertia parameter considered for the study is Mach number. The Mach numbers considered for study are 1.5, 2.0, and 2.5. The nozzle pressure ratio considered for study are 2, 5 and 8. Three different pitch circle diameters of control jets considered for study are 13.1 mm, 16.2 mm and 19.3 mm. From the numerical simulations and the results of the experimental tests, it is found that the control jets are very beneficial to increase the base pressure at higher NPR when the jets issuing from the nozzles are under-expanded. The control jets were able to increase the base pressure value from 160% to 400% at nozzle pressure ratio 8. It is concluded that the parameter D3 is the most effective pitch circle diameter of the control jets to increase the base pressure

    Maximum Power Tracking System Based on Power Electronic Topology for Wind Energy Conversion System Applications

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    Wind energy has emerged as a dominant alternative power generation source. Conventional energy resources are depleting and their increasing cost cannot be ignored. Wind energy has taken an important role in replacing fossil fuels and nuclear energy. However, optimal exploitation of wind energy systems has remained a thought-provoking problem due to the nonlinear behavior of the wind speed. Distribution generation system and isolated micro-grid (MG) are mainly used in a wind energy system in order to utilize maximum potential of wind through the maximum power tracking algorithm based on DC-DC boost power electronic converter. In this paper, authors propose a technique which is effectively workable, highly reliable, of low cost and induces less mechanical stress on the wind generator system (WGS). Experimental results of the proposed system verify that the effectiveness near optimal WGS output power increased approximately up to 50%. Thus, better exploitation of the available wind power is obtained under low wind speeds

    In vitro effect of seed bio-priming techniques on seed germination and seedling vigour of few vegetable crops

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    Bio-priming can also be viewed as a new technique of seed treatment using biological agents to stimulate germination of seed and growth of the plant and further protecting the seed from soil-and seed-borne pathogens. The present investigation was carried out in vitro conditions on seed germination and seedling vigour of few vegetable crops viz.ย  tomato (Solanum lycopersicum L.), brinjal (Solanum melongena L.), onion (Allium cepa L.) and chilli (Capsicum annuum L.), during 2015 and 2016. The treatments comprised viz. T1: Non primed seeds (Control), T2: Seed treatment with Carbendazim 2.5g/kg seed, T3: Hydro-priming for 6 hrs, T4: Hydro-priming for 12 hrs, T5: Hydro-priming for 18 hrs, T6: Biopriming with Trichodermaย  viride for 6 hrs, T7: Biopriming with T.viride for 12 hrs, T8: Biopriming with T.viride for 18 hrs, T9: Biopriming with Trichoderma harzianum for 6 hrs, T10: Biopriming with T. harzianum forย  12 hrs, T11: Biopriming with T. harzianum for 18 hrs, T12: Biopriming with Pseudomonas fluorescens for 6 hrs, T13: Biopriming with P. fluorescens for 12 hrs and T14: Biopriming with P. fluorescens for 18 hrs.ย  The results revealed that maxiumum germination percentage (92.92, 90.77,83.00 and 86.33), seedling length (32.38 cm, 29.35 cm, 31.75 and 31.60 cm), seedling fresh weight (2.07 g, 4.01 g, 3.05 g and 2.04 g),ย  seedling dry weight (0.42 g, 0.86 g, 0.62 g and 0.42 g) and seedling vigour index (3008.11, 2664.00, 2635.00 and 2728.00) were recorded in T10 (bio priming with T. harzianum for 12 hrs) in tomato (S. lycopersicum L.), brinjal (S. melongena L.), onion (A. cepa L.) and chilli (C. annuum L.), respectively. Thus, it indicated that priming of seeds of these crops with T. harzianum/P. fluorescens/ T. viride ย for 12 hrs was very effective with respect to their vegetative growth along with the quality yield
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