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LoRa Sense:Sensing and Optimization of LoRa Link Behavior Using Path-Loss Models in Open-Cast Mines

Computer Modeling in Engineering & Sciences 2025年第1期142卷 425-466页

作者： bhanu pratap Reddy Bhavanam Prashanth Ragam School of Computer Science and Engineering VIT-AP UniversityAmaravati52237India

The Internet of Things(IoT)has orchestrated various domains in numerous applications,contributing significantly to the growth of the smart world,even in regions with low literacy rates,boosting socio-economic *** study provides valuable insights into optimizing wireless communication,paving the way for a more connected and productive future in the mining *** IoT revolution is advancing across industries,but harsh geometric environments,including open-pit mines,pose unique challenges for reliable *** advent of IoT in the mining industry has significantly improved communication for critical operations through the use of Radio Frequency(RF)protocols such as Bluetooth,Wi-Fi,GSM/GPRS,Narrow Band(NB)-IoT,SigFox,ZigBee,and Long Range Wireless Area Network(LoRaWAN).This study addresses the optimization of network implementations by comparing two leading free-spreading IoT-based RF protocols such as ZigBee and *** field tests are conducted in various opencast mines to investigate coverage potential and signal *** is tested in the Tadicherla open-cast coal mine in ***,LoRaWAN field tests are conducted at one of the associated cement companies(ACC)in the limestone mine in Bargarh,India,covering both Indoor-toOutdoor(I2O)and Outdoor-to-Outdoor(O2O)environments.A robust framework of path-loss models,referred to as Free space,Egli,Okumura-Hata,Cost231-Hata and Ericsson models,combined with key performance metrics,is employed to evaluate the patterns of signal *** field testing and careful data analysis revealed that the Egli model is the most consistent path-loss model for the ZigBee protocol in an I2O environment,with a coefficient of determination(R^(2))of 0.907,balanced error metrics such as Normalized Root Mean Square Error(NRMSE)of 0.030,Mean Square Error(MSE)of 4.950,Mean Absolute Percentage Error(MAPE)of 0.249 and Scatter Index(SI)of *** the O2O scenario,the Ericsson model

关键词： Internet of things long range wireless area network ZigBee mining environments path-loss models coefficient of determination mean square error

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Effect of elevated [CO_2] and nutrient management on wet and dry season rice production in subtropical India

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The Crop Journal 2015年第6期3卷 468-480页

作者： Sushree Sagarika Satapathy Dillip Kumar Swain Surendranath Pasupalak pratap bhanu Singh Bhadoria Agricultural and Food Engineering Department Indian Institute of Technology Kharagpur Orissa University of Agriculture and Technology

The present experiment was conducted to evaluate the effect of elevated [CO_2] with varying nutrient management on rice–rice production system. The experiment was conducted in the open field and inside open-top chambers(OTCs) of ambient [CO_2](≈ 390 μmol L-1) and elevated [CO_2] environment(25% above ambient) during wet and dry seasons in 2011–2013at Kharagpur, India. The nutrient management included recommended doses of N, P, and K as chemical fertilizer(CF), integration of chemical and organic sources, and application of increased(25% higher) doses of CF. The higher [CO_2] level in the OTC increased aboveground biomass but marginally decreased filled grains per panicle and grain yield of rice, compared to the ambient environment. However, crop root biomass was increased significantly under elevated [CO_2]. With respect to nutrient management, increasing the dose of CF increased grain yield significantly in both seasons. At the recommended dose of nutrients, integrated nutrient management was comparable to CF in the wet season, but significantly inferior in the dry season, in its effect on growth and yield of rice. The [CO_2] elevation in OTC led to a marginal increase in organic C and available P content of soil, but a decrease in available N content. It was concluded that increased doses of nutrients via integration of chemical and organic sources in the wet season and chemical sources alone in the dry season will minimize the adverse effect of future climate on rice production in subtropical India.

关键词： Climate change Nutrient management Elevated [CO2] Rice yield Soil fertility

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Re-estimation and comparisons of alternative accounting based bankruptcy prediction models for Indian companies

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Financial Innovation 2016年第1期2卷 59-86页

作者： bhanu pratap Singh Alok Kumar Mishra School of Economics University of HyderabadProf.C.R.Rao RoadGachibowliHyderabad-500046 TelanganaIndia

Background:The suitability and performance of the bankruptcy prediction models is an empirical *** aim of this paper is to develop a bankruptcy prediction model for Indian manufacturing companies on a sample of 208 companies consisting of an equal number of defaulted and non-defaulted *** of 208 companies,130 are used for estimation sample,and 78 are holdout for model *** study reestimates the accounting based models such as Altman EI(Journal of Finance 23:19189-209,1968)Z-Score,Ohlson JA(Journal of Accounting Research 18:109-131,1980)Y-Score and Zmijewski ME(Journal of Accounting Research 22:59-82,1984)X-Score *** paper compares original and re-estimated models to explore the sensitivity of these models towards the change in time periods and financial ***:Multiple Discriminant Analysis(MDA)and Probit techniques are employed in the estimation of Z-Score and X-Score models,whereas Logit technique is employed in the estimation of Y-Score and the newly proposed *** performance of all the original,re-estimated and new proposed models are assessed by predictive accuracy,significance of parameters,long-range accuracy,secondary sample and Receiver Operating Characteristic(ROC)***:The major findings of the study reveal that the overall predictive accuracy of all the three models improves on estimation and holdout sample when the coefficients are *** the contesting models,the new bankruptcy prediction model outperforms other ***:The industry specific model should be developed with the new combinations of financial ratios to predict bankruptcy of the firms in a particular *** study further suggests the coefficients of the models are sensitive to time periods and financial ***,researchers should be cautioned while choosing the models for bankruptcy prediction to recalculate the models by looking at the recent data in order to get higher predictive accuracy.

关键词： Bankruptcy prediction Indian manufacturing companies MDA Logit Probit Unstable coefficient Predictive accuracy Receiver operating characteristic Long range accuracy

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Pain management in chronic pancreatitis

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World Journal of Clinical Cases 2024年第12期12卷 2016-2022页

作者： Deb Sanjay Nag bhanu pratap Swain Rishi Anand Tapas Kumar Barman Vatsala Department of Anaesthesiology Tata Main HospitalJamshedpur 831001India

Pain in chronic pancreatitis(CP)is difficult to *** patients suffer from inadequate pain relief,completely incapacitating them in their daily ***,despite their well-known adverse effects,opioids have been the pillar of treatment regimens in painful *** management is now gradually evolving with a better understanding of the underlying pathophysiology of CP-related *** should follow a holistic approach to the management of CPassociated pain,which must involve lifestyle changes that are coupled with analgesic medications and other pain-relieving ***,there is no easy cure for vanquishing CP-associated *** patient must be evaluated on a case-by-case basis by a multidisciplinary team to decide which treatment option is best suited for that individual.

关键词： Pancreatitis Abdominal pain Palliative care Analgesics Life style Psychology

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Pitfalls in internal jugular vein cannulation

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World Journal of Clinical Cases 2024年第10期12卷 1714-1717页

作者： Deb Sanjay Nag Amlan Swain Seelora Sahu bhanu pratap Swain Merina Sam Department of Anaesthesiology Tata Main HospitalJamshedpur 831001JharkhandIndia

Central venous catheter insertion in the internal jugular vein(IJV)is frequently performed in acute care settings,facilitated by its easy availability and increased use of ultrasound in healthcare *** the increased safety profile and insertion convenience,it has ***,we aim to inform readers about the existing literature on the plethora of complications with potentially disastrous consequences for patients undergoing IJV cannulation.

关键词： Catheterization Central venous Complications Thoracic duct Arteriovenous fistula Vocal cord paralysis Pneumothorax Cardiac tamponade

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Relevance of sleep for wellness:New trends in using artificial intelligence and machine learning

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World Journal of Clinical Cases 2024年第7期12卷 1196-1199页

作者： Deb Sanjay Nag Amlan Swain Seelora Sahu Abhishek Chatterjee bhanu pratap Swain Department of Anaesthesiology Tata Main HospitalJamshedpur 831001JharkhandIndia

Sleep and well-being have been intricately linked,and sleep hygiene is paramount for developing mental well-being and *** widespread,sleep disorders require elaborate polysomnography laboratory and patient-stay with sleep in unfamiliar *** technologies have allowed various devices to diagnose sleep disorders at ***,these devices are in various validation stages,with many already receiving approvals from competent *** has captured vast patient-related physiologic data for advanced analytics using artificial intelligence through machine and deep learning *** is expected to be integrated with patients’Electronic Health Records and provide individualized prescriptive therapy for sleep disorders in the future.

关键词： Sleep initiation and maintenance disorders Sleep apnea Obstructive Machine learning Artificial intelligence Algorithms

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双能量CT平扫描鉴别良恶性甲状腺结节

双能量CT平扫描鉴别良恶性甲状腺结节

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作者： bhanu pratap SHAH 昆明医科大学

学位级别：硕士

Objective:（1） To evaluate the diagnostic value of CT morphology on the differential diagnosis between benign and malignant thyroid nodule （2） To evaluate the diagnostic value of iodine concentration on the differential diagnosis between benign and malignant thyroid nodule. （3） To evaluate the diagnostic value of DE spectral curve on the differential diagnosis between benign and malignant thyroid ***:Among total of 108 cases of thyroid nodule found between year 2013 to 2015 from first affiliated hospital of Kunming medical university, included 72 malignant and 36 benign cases。 All the patients included for study of thyroid nodule either benign or malignant underwent DE-CT plain scan of the thyroid region in the neck. All nodules were confirmed by pathology, and with the diameter greater than 0.5 cm. On conventional CT images, analyzing the nodular morphology, including size, edge, margin, capsule and *** nodules with undefined margin, irregular edge, incomplete capsule and small calcification were being diagnosed as malignant, and vice versa as benign nodules. Measuring iodine concentration on DECT iodine maps and obtaining monoenergetic curve to calculate spectrum curve slope. Comparing with the pathological result, analyzing the accuracy of morphology, iodine concentration and energy spectral curve in the identification of benign and malignant nodules. Evaluating the diagnosis efficiency of maximum iodine concentration and spectral curve by ROC ***:In total of 108 cases found during our retrospective cases analysis, included 72 thyroid nodules were malignant and 36 were benign cases of which 65 females and 43 males were found. The mean age was around 48 years or ***:（1）Diameter （Edge and capsule）:The thyroid nodules which showed irregular and incomplete surface diameter with edge and capsule indicating malignant nodule and with complete and regular edge, capsule as benign nodule. Out of 72 malignant thyroid nodules,

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Current evidence on artificial intelligence in regional anesthesia

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World Journal of Clinical Cases 2024年第33期12卷 6613-6619页

作者： bhanu pratap Swain Deb Sanjay Nag Rishi Anand Himanshu Kumar Pradip Kumar Ganguly Niharika Singh Department of Anaesthesiology Tata Main HospitalJamshedpur 831001India Department of Anesthesiology Manipal Tata Medical CollegeJamshedpur 831017India

The recent advancement in regional anesthesia(RA)has been largely attributed to ultrasound ***,the safety and efficiency of ultrasound-guided nerve blocks depend upon the skill and experience of the *** with adequate training,experience,and knowledge,human-related limitations such as fatigue,failure to recognize the correct anatomical structure,and unintentional needle or probe movement can hinder the overall effectiveness of *** amalgamation of artificial intelligence(AI)to RA practice has promised to override these human *** learning,an integral part of AI can improve its performance through continuous learning and experience,like the human *** enables computers to recognize images and patterns specifically useful in anatomic structure identification during the performance of *** can provide real-time guidance to clinicians by highlighting important anatomical structures on ultrasound images,and it can also assist in needle tracking and accurate deposition of local *** future of RA with AI integration appears promising,yet obstacles such as device malfunction,data privacy,regulatory barriers,and cost concerns can deter its clinical *** current mini review deliberates the current application,future direction,and barrier to the application of AI in RA practice.

关键词： Artificial intelligence Regional anesthesia Machine learning Ultrasonography Nerve block

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Spray Prediction Model for Aonla Rust Disease Using Machine Learning

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Journal of Agricultural Science and Technology(B) 2023年第1期13卷 1-12页

作者： Hemant Kumar Singh bhanu pratap S.K.Maheshwari Ayushi Gupta Anuradha Chug Amit Prakash Singh Dinesh Singh Acharya Narendra Deva University of Agriculture and Technology Ayodhya 224229U.P.India ICAR-Central Institute for Arid Horticulture Bikaner 334006RajasthanIndia University School of Information Communication&TechnologyGGSIPUNew Delhi 110012India ICAR-Indian Agricultural Research Institute New Delhi 110012India

Disease prediction in plants has acquired much attention in recent *** factors such as:temperature,relative humidity,rainfall,sunshine play an important role in a plan’s growth only if they are present in adequate amounts as required by the *** the other hand,if the factors are inadequate,they may also support the growth of a disease in the *** current study focuses on the Rust disease in Aonla fruits and leaves by utilizing a real time dataset of weather *** different models are tested for spray prediction on conducive *** resampling techniques,random over sampling(ROS)and synthetic minority oversampling technique(SMOTE)have been used to balance the dataset and five different classifiers:support vector machine(SVM),logistic regression(LR),k-nearest neighbor(kNN),decision tree(DT)and random forest(RF)have been used to classify a particular day based on weather conditions as conducive or *** classifiers are then evaluated based on four performance metrics:accuracy,precision,recall and *** results indicate that for imbalanced dataset,kNN is appropriate with high precision and recall *** both balanced and imbalanced dataset models,the proposed model SMOTE-RF performs best among all models with 94.6%accuracy and can be used in a real time application for spray ***,timely fungicide spray prediction without over spraying will help in better productivity and will prevent the yield loss due to rust disease in Aonla crop.

关键词： Aonla Internet of Things machine learning plant disease rust spray prediction.

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Multi-Scale Dilated Convolution Network for SPECT-MPI Cardiovascular Disease Classification with Adaptive Denoising and Attenuation Correction

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Computer Modeling in Engineering & Sciences 2025年第1期142卷 299-327页

作者： A.Robert Singh Suganya Athisayamani Gyanendra Prasad Joshi bhanu Shrestha Department of Computational Intelligence SRM Institute of Science and TechnologyKattankulathur603203Tamil NaduIndia School of Computing Sastra Deemed to be UniversityThanjavur613401Tamil NaduIndia Department of Artificial Intelligence&Software Kangwon National UniversitySamcheok25913Republic of Korea Department of Information Convergence System Graduate School of Smart ConvergenceKwangwoon UniversitySeoul01897Republic of Korea

Myocardial perfusion imaging(MPI),which uses single-photon emission computed tomography(SPECT),is a well-known estimating tool for medical diagnosis,employing the classification of images to show situations in coronary artery disease(CAD).The automatic classification of SPECT images for different techniques has achieved near-optimal accuracy when using convolutional neural networks(CNNs).This paper uses a SPECT classification framework with three steps:1)Image denoising,2)Attenuation correction,and 3)Image *** denoising is done by a U-Net architecture that ensures effective image *** correction is implemented by a convolution neural network model that can remove the attenuation that affects the feature extraction process of ***,a novel multi-scale diluted convolution(MSDC)network is *** merges the features extracted in different scales and makes the model learn the features more *** scales of filters with size 3×3 are used to extract *** three steps are compared with state-of-the-art *** proposed denoising architecture ensures a high-quality image with the highest peak signal-to-noise ratio(PSNR)value of *** proposed classification method is compared with the five different CNN models,and the proposed method ensures better classification with an accuracy of 96%,precision of 87%,sensitivity of 87%,specificity of 89%,and F1-score of 87%.To demonstrate the importance of preprocessing,the classification model was analyzed without denoising and attenuation correction.

关键词： SPECT-MPI CAD MSDC denoising attenuation correction classification

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