1,721,500 research outputs found
Nur-i-Afshan V.07 no.19 May 1903
Contents: Editorial notes - Current thought and incident : the progress of women during the decade - To the editor of the Epiphany [Letter] by Mohan Lal - Foreign telegrams [Letter]
This volume of Nur-i-Afshan published weekly on Fridays from Ludhiana
The Chameleonic Identities of Mohan Lal Kashmiri and His Travels in Persianate Lands
A close reading of parts of Mohan Lal Kashmiri's travel account in English to Central Asia and Iran as a Persianate text
brijmohan/ConvTasNet_Libri1Mix_enhsingle
Description: This model was trained by Brij Mohan Lal Srivastava using the librimix/ConvTasNet
recipe in Asteroid. It was trained on the enh_single task of the Libri1Mix dataset. Training config:data: n_src: 1sample_rate: 8000segment: 3task: enh_singletrain_dir: data/wav8k/min/train-360valid_dir: data/wav8k/min/devfilterbank: kernel_size: 16n_filters: 512stride: 8main_args: exp_dir: exp/train_convtasnet_vpchelp: Nonemasknet: bn_chan: 128hid_chan: 512mask_act: relun_blocks: 8n_repeats: 3n_src: 1skip_chan: 128optim: lr: 0.001optimizer: adamweight_decay: 0.0positional arguments: training: batch_size: 24early_stop: Trueepochs: 200half_lr: Truenum_workers: 4 Results:si_sdr: 14.783675142685572 si_sdr_imp: 11.464625198953202 sdr: 15.497505907983102 sdr_imp: 12.07230150154914 sir: inf sir_imp: nan sar: 15.497505907983102 sar_imp: 12.07230150154914 stoi: 0.9270030254700518 stoi_imp: 0.1320547197597893 License notice:This work "ConvTasNet_Libri1Mix_enhsingle" is a derivative of LibriSpeech ASR corpus by Vassil Panayotov, used under CC BY 4.0; of The WSJ0 Hipster Ambient Mixtures dataset by Whisper.ai, used under CC BY-NC 4.0 (Research only). "ConvTasNet_Libri1Mix_enhsingle" is licensed under Attribution-ShareAlike 3.0 Unported by Brij Mohan Lal Srivastava
sj-docx-1-pie-10.1177_09544089221132438 - Supplemental material for A comparative study of solar photovoltaic operated milk cooler for realizing the need for load management and starting circuits
Supplemental material, sj-docx-1-pie-10.1177_09544089221132438 for A comparative study of solar photovoltaic operated milk cooler for realizing the need for load management and starting circuits by Prasanna Naveen Kumar J, Rajendran Prabakaran and Mohan Lal D in Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering</p
Do managers perform better under EVA bonus schemes?
Economic Value Added (EVA) is a performance measure that is being used by an increasing number of companies, but academic research on EVA is limited. In addition, all prior empirical academic studies on EVA have used the firm as the unit of analysis. In this study, we examine the effect of EVA on the performance of individual managers. Specifically, we examine whether managers on EVA-based bonus plans outperform managers on traditional accounting-based bonus plans. We are able to test this because we have access to an EVA-focused company that has managers on both EVA and traditional bonus plans. Our results suggest that managers on EVA bonus plans who understand the EVA concept perform better than managers on traditional bonus plans. However, we find some evidence that the increase in performance results from increased consistency or congruence in the manager's evaluation-reward process rather than from superiority of EVA as a performance measure. Also, we find that the effect of EVA bonuses and EVA understanding differs depending on the area of the firm in which the manager is employed. This suggests that EVA may not be a universally appropriate base for reward systems. *Mohan Lal passed away 24 July 2002. This paper is dedicated to him.
RELATIONSHIP BETWEEN PRINCIPAL’S ADMINISTRATIVE BEHAVIOUR AND SENIOR SECONDARY SCHOOL’S EFFECTIVENESS IN MORADABAD
Dr. Mohan Lal Arya
Nepal Mohan Lal Oli
SIGLEAvailable from British Library Document Supply Centre-DSC:0859.3885(ASA 31/05/2000) / BLDSC - British Library Document Supply CentreGBUnited Kingdo
کرشن کانتا : ناول / جسکو موہن لال فہم نے لکها ہے
application/pdfUrdu novel / by Fahm, Mohan Lal, Munshi
Application of Regression Tools for Load Prediction in Distributed Network for Flexible Analysis
Authors' Accepted ManuscriptThe electrical load prediction is necessary for distributed network energy management and finding opportunity for flexibility in shifting the operation of non-critical power intensive loads. The application of regression tools has showed to be promising for predicting electric load within distributed network as well as for flexibility analysis. The distributed electrical energy network is low-capacity networks with low amount of data that need flexible operation and analysis. Random forest regressor, k-nearest neighbor (kNN) regressor, and linear regression are considered for analyzing electrical energy demand forecasting. The methodology, used in this chapter, dealing with the problems of irregularities and randomness in the time series considering urban and rural area case studies. Random forest-regressor yields good results on hourly time prediction in load forecasting. The kNN shows precise prediction due to its capability to capture the nearest step in a time series based on the nearest neighbor principle. The presented vertical time approach uses seasonal data for training and inference, as opposed to continuous time approach that utilizes all data in a continuum from the start of the dataset until the time used for inference. The regression tools can handle the low amount of data, and the prediction accuracy matches with other techniques.acceptedVersio
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