One of the major concerns for the utilities in the Smart Grid(SG)is electricity *** the implementation of smart meters,the frequency of energy usage and data collection from smart homes has increased,which makes it po...
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One of the major concerns for the utilities in the Smart Grid(SG)is electricity *** the implementation of smart meters,the frequency of energy usage and data collection from smart homes has increased,which makes it possible for advanced data analysis that was not previously *** this purpose,we have taken historical data of energy thieves and normal *** avoid imbalance observation,biased estimates,we applied the interpolation ***,the data unbalancing issue is resolved in this paper by Nearmiss undersampling technique and makes the data suitable for further *** proposing an improved version of Zeiler and Fergus Net(ZFNet)as a feature extraction approach,we had able to reduce the model’s time *** minimize the overfitting issues,increase the training accuracy and reduce the training loss,we have proposed an enhanced method by merging Adaptive Boosting(AdaBoost)classifier with Coronavirus Herd Immunity Optimizer(CHIO)and Forensic based Investigation Optimizer(FBIO).In terms of low computational complexity,minimized over-fitting problems on a large quantity of data,reduced training time and training loss and increased training accuracy,our model outperforms the benchmark *** proposed algorithms Ada-CHIO andAda-FBIO,have the low MeanAverage Percentage Error(MAPE)value of error,i.e.,6.8%and 9.5%,***,due to the stability of our model our proposed algorithms Ada-CHIO and Ada-FBIO have achieved the accuracy of 93%and 90%.Statistical analysis shows that the hypothesis we proved using statistics is authentic for the proposed technique against benchmark algorithms,which also depicts the superiority of our proposed techniques.
The study suggests a scalable method for estimating residential power usage. To increase the forecasting accuracy, an SVM (support vector machine) based technique combines many machine learning models, such as random ...
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Since the introduction of Bitcoin,numerous studies on Bitcoin mining attacks have been conducted,and as a result,many countermeasures to these attacks have been *** reputation-based mining paradigm is a comprehensive ...
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Since the introduction of Bitcoin,numerous studies on Bitcoin mining attacks have been conducted,and as a result,many countermeasures to these attacks have been *** reputation-based mining paradigm is a comprehensive countermeasure solution to this problem with the goal of regulating the mining process and preventing mining *** is accomplished by incentivizing miners to avoid dishonest mining strategies using reward and punishment *** model was validated solely based on game theoretical analyses,and the real-world implications of this model are not known due to the lack of empirical *** shed light on this issue,we designed a simulated mining platform to examine the effectiveness of the reputation-based mining paradigm through data *** implemented block withholding attacks in our simulation and ran the following three scenarios:Reputation mode,non-reputation mode,and no attack *** comparing the results from these three scenarios,interestingly,we found that the reputation-based mining paradigm decreases the number of block withholding attacks,and as a result,the actual revenue of individual miners becomes closer to their theoretical expected *** addition,we observed that the confidence interval test can effectively detect block withholding attacks;however,the test also results in a small number of false positive *** the effectiveness of the reputation-based model relies on attack detection,further research is needed to investigate the effect of this model on other dishonest mining strategies.
An emerging vehicular ad hoc network (VANET) is a network of connected vehicles which are communicating with each other and with roadside units (RSUs) exchanging useful information. As a result, road safety is increas...
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Unmanned Ariel Vehicles(UAVs)are flying objects whose trajectory can be remotely *** have lot of potential applications in the areas of wireless communications,internet of things,security,traffic management,monitoring...
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Unmanned Ariel Vehicles(UAVs)are flying objects whose trajectory can be remotely *** have lot of potential applications in the areas of wireless communications,internet of things,security,traffic management,monitoring,and smart *** enabling reliable communication between UAVs and ground nodes,emergency notifications can be efficiently and quickly disseminated to a wider *** can gather data from remote areas,industrial units,and emergency scenarios without human *** can support ubiquitous connectivity,green communications,and intelligent wireless resource *** efficiently use UAVs for all these applications,important challenges need to be *** this paper,we first present a detailed classification of UAVs based on factors such as their size,communication range,weight,and flight *** also explain the hardware system configuration and uses of these *** present a brief overview of recent work done related to three major challenges in *** challenges include trajectory control,energy efficiency and resource *** also present three open challenges and future opportunities for efficient UAV *** include use of learning algorithms for resource allocation and energy efficiency in UAVs,intelligent surfaces-based communications for enhanced reliability in UAVs,and security algorithms to combat malicious attacks against UAVs.
Conformal prediction is a model-agnostic tool for constructing prediction sets that are valid under the common i.i.d. assumption, which has been applied to quantify the prediction uncertainty of deep net classifiers. ...
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As online & mobile grocery shopping grow globally amid the COVID-19 pandemic, consumer reviews are having a significant impact on purchasing behavior. As the AI and Bigdata technologies advance, the development of...
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This paper investigates two neurodegenerative disorders in adults - Alzheimer's (AD) and Parkinson's (PD). Most works in the research explored these diseases independently - AD vs. healthy subjects and PD vs. ...
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This work focuses on the performance comparison of monocrystalline and polycrystalline Si solar photovoltaic(SPV)modules under tropical wet and dry climatic conditions in east-central India(21.16°N 81.65°E,R...
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This work focuses on the performance comparison of monocrystalline and polycrystalline Si solar photovoltaic(SPV)modules under tropical wet and dry climatic conditions in east-central India(21.16°N 81.65°E,Raipur,Chhattisgarh).This study would help to select the SPV module for system installation in the east-central part of the *** comparative analysis,we used performance ratio(PR)and efficiency as figures of *** plane-of-array(POA)irradiance was used to determine the efficiency of the *** decomposition and transposition models calculated the POA values from the measured global horizontal *** data were analysed systematically for 6 months in the non-rainy season,from October 2020 to March *** attention was given to solar irradiance,ambient temperature and module temperature-the parameters that affect the performance of PV *** month of October showed the highest variation in irradiance and *** highest average module temperatures(51-52℃)were observed in October-November,while the lowest average module temperatures(34℃ for mono-Si and 36℃ for poly-Si)were observed in *** highest value of average monthly POA irradiance(568 W/m^(2))was observed in February and the lowest(483 W/m^(2))in *** results showed that the monocrystalline SPV module performed better than the polycrystalline module under all weather *** maximum observed values of mono-Si and poly-Si panel PRs were 0.89 and 0.86,respectively,in December.
*** We have defined the Conscious Turing Machine(CTM)for the purpose of investigating a theoretical computerscience(TCS)approach to consciousness[1].For this,we have hewn to the TCS demand for simplicity and *** CTM ...
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*** We have defined the Conscious Turing Machine(CTM)for the purpose of investigating a theoretical computerscience(TCS)approach to consciousness[1].For this,we have hewn to the TCS demand for simplicity and *** CTM is consequently and intentionally a simple *** is not a model of the brain,though its design has greatly benefited—and continues to benefit—from neuroscience and psychology.
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