In recent times, blockchain has evolved the security of traditional supply chain systems. Different issues of supply chain management like flexibility and reliability can be easily addressed using blockchain. Meat Pac...
详细信息
Fast fluctuations in wind farm power produce voltage flicker in the *** way to mitigate the flicker is to place a static VAr compensator(SVC).Due to the operating delay of SVCs,it is essential to predict the wind farm...
详细信息
Fast fluctuations in wind farm power produce voltage flicker in the *** way to mitigate the flicker is to place a static VAr compensator(SVC).Due to the operating delay of SVCs,it is essential to predict the wind farm reactive ***,a novel fuzzy nonlinear modeling approach is suggested and used in the one-step-ahead prediction of the power *** base of the developed fuzzy modeling is the Takagi-Sugeno fuzzy representation and a dual-unscented Kalman filter(D-UKF).In other words,a nonlinear TS fuzzy system is trained online via the *** forecasted value is used as the SVC’s reference signal.A large amount of actual data gathered from a wind farm is used for the performance *** data is collected in winter and summer for different climate *** the actual data,a current source with changing amplitude and phase which is updated every half-cycle,is used to model the wind *** results,including the flicker indices,confirm the improvement in the SVC’s performance.
Medical data mining has become an essential task in healthcare sector to secure the personal and medical data of patients using privacy *** this background,several authentication and accessibility issues emerge with a...
详细信息
Medical data mining has become an essential task in healthcare sector to secure the personal and medical data of patients using privacy *** this background,several authentication and accessibility issues emerge with an inten-tion to protect the sensitive details of the patients over getting published in open *** solve this problem,Multi Attribute Case based Privacy Preservation(MACPP)technique is proposed in this study to enhance the security of privacy-preserving *** information can be any attribute information which is categorized as sensitive logs in a patient’s *** semantic relation between transactional patient records and access rights is estimated based on the mean average value to distinguish sensitive and non-sensitive *** addition to this,crypto hidden policy is also applied here to encrypt the sensitive data through symmetric standard key log verification that protects the personalized sensitive ***,linear integrity verification provides authentication rights to verify the data,improves the performance of privacy preserving techni-que against intruders and assures high security in healthcare setting.
Battery packs integrated into the grid offer a promising solution for energy storage, but their efficient operation requires precise monitoring and control, which is achieved through Battery Management Systems (BMS). ...
详细信息
Gender identification from video is an emerging research field that aims to automatically classify the gender of individuals based on video data. Due to the numerous applications for this task, it has received a lot o...
详细信息
Accurate classification of cassava disease,particularly in field scenarios,relies on object semantic localization to identify and precisely locate specific objects within an image based on their semantic meaning,there...
详细信息
Accurate classification of cassava disease,particularly in field scenarios,relies on object semantic localization to identify and precisely locate specific objects within an image based on their semantic meaning,thereby enabling targeted classification while suppressing rrelevant noise and focusing on key semantic *** advancement of deep convolutional neural networks(CNNs)paved the way for identifying cassava diseases by leveraging salient semantic features and promising high *** study proposes an approach that incorporates three innovative elements to refine feature representation for cassava disease ***,a mutualattention method is introduced to highlight semantic features and suppress irrelevant background features in the feature ***,instance batch normalization(IBN)was employed after the residual unit to construct salient semantic features using the mutualattention method,representing high-quality semantic features in the ***,the RSigELUD activation method replaced the conventional ReLU activation,enhancing the nonlinear mapping capacity of the proposed neural network and further improving fine-grained leaf disease classification performance This approach significantly aided in distinguishing subtle disease manifestations in cassava *** proposed neural network,MAIRNet-101(Mutualattention IBN RSigELUD Neural Network),achieved an accuracy of 95.30%and an F1-score of 0.9531,outperforming EfficientNet-B5 and *** evaluate the generalization capability of MAIRNet,the FGVC-Aircraft dataset was used to train MAIRNet-50,which achieved an accuracy of 83.64%.These results suggest that the proposed algorithm is well suited for cassava leaf disease classification applications and offers a robust solution for advancing agricultural technology.
In recent years, maximizing the energy conversion performance of photovoltaic (PV) systems has become increasingly important, especially in the context of sustainable energy development. This study utilizes Internet o...
详细信息
This study develops a machine learning framework to classify infant cries using 457 audio features, including time domain features like Zero-Crossing Rate (ZCR) for frequency analysis and Quadratic Mean RMS for power ...
详细信息
This paper centers on pushing the boundaries of AI and computer vision through an inventive approach to video captioning, leveraging the powerful Contrastive Language Image Pretraining (CLIP) model. In stark contrast ...
详细信息
Chaos theory has been widespread in use in various applications like secure communication and chaotic synchronization. A chaotic system is characterized by bounded and unpredictable trajectory, sensitivity to initial ...
详细信息
暂无评论