This study uses the smart phone with the Android system to construct a cloud-side smart switch system in the client-server architecture with the Android open platform system, using microprocessors(MCU 16F690) as the t...
详细信息
This study uses the smart phone with the Android system to construct a cloud-side smart switch system in the client-server architecture with the Android open platform system, using microprocessors(MCU 16F690) as the thermostat controller and combined with Raspberry Pi. The computing technology extends the control of the constant temperature from the local to the cloud, allowing the user to view the temperature status recorded by the cloud server using the smart phone application(App) or web browser. It can even remotely control the heating power of the smart switch for the heating device in the Internet control environment and use the proportional-integral-derivative(PID) control and the pulse-width modulation(PWM) technology to achieve intelligent constant temperature *** proposed control system uses the expert PID control as the core to calculate the duty cycle of the PWM signal to control the power output of the smart switch for the constant temperature water tank. The experiment results verify the effectiveness of the proposed system.
In the dynamic realm of digital discourse, understanding the evolution of conversations is crucial. With the advent of social media, there has been increased attention to discussions on women's issues and gender e...
详细信息
In recent years, we have witnessed a tremendous evolution in generative adversarial networks resulting in the creation of much realistic fake multimedia content termed deepfakes. The deepfakes are created by superimpo...
详细信息
Understanding graph algorithms for beginners is the biggest nightmare for them. To conquer that fear we have decided to build a website which will help them to understand graph algorithms in a fun and easy way. It is ...
详细信息
The most common neurological ailment & the 2nd most frequent reason for disability & mortality is Parkinson's disease (PD). A difficult challenge for making sure that people can live as independently as fe...
详细信息
ISBN:
(纸本)9798350342796
The most common neurological ailment & the 2nd most frequent reason for disability & mortality is Parkinson's disease (PD). A difficult challenge for making sure that people can live as independently as feasible is the correct identification of PD in the initial stages. Over the past few decades, artificial intelligence-based machine learning techniques for disease identification in medicine have become very popular. These techniques do not, however, offer a precise and rapid diagnosis. The total detection precision of methods connected to machine learning was insufficient. Italian medical control individuals and PD sufferers, mid-advanced patients treated to L-Dopa, separated into non-medication patients and early-diagnosed, were used to create a custom dataset using high-quality recordings of vocal assignments. The goal is to construct an accurate model that can accurately diagnose to identify PD early and begin treatment while it is still treatable, early diagnostic tools are required. However, current models contain drawbacks that can cause the disease to be misdiagnosed. The Unified PDRating Scale (UPDRS), a grading system for PD, could be continuously monitored with the use of the proposed framework, which could aid clinicians treat patients. According to the various ML pipelines, state-of-the-art is contrasted using various categorization methods&DL was also investigated utilizing a unique Convolutional Neural Network (CNN) framework. Outcomes demonstrate that KNN, SVM, and Naive Bayes classifiers operate comparably to each other with KNN having a little advantage over SVM and DL in terms of categorization outcomes. The dominance of CFS as the top characteristic choice is much clearer. The chosen characteristics serve as pertinent vocal biomarkers that can distinguish between healthy people, early-stage PD patients who have not yet received treatment, and mid-advanced PD patients who have received L-Dopa. The proposed approach has a 0.10 RMSE error, which is
Social Virtual Worlds have begun to offer great potential for communication in recent years. The recent development of SVWs, VR and blockchain has led to the metaverse. SVW is all about creating an immersive virtual s...
详细信息
Reliability on wireless ad hoc networks will offer a fault-tolerant network and identify faults that occur at various levels. The key task of the sensor is to monitor the area by gathering data and transmitting it to ...
详细信息
The extensive use of social media has provided people with a digital platform to express their ideas, sentiments, emotions, and opinions. This study focuses on the identification of personality traits from Bangla soci...
详细信息
To meet the requirements of specifications,intelligent optimization of steel bar blanking can improve resource utilization and promote the intelligent development of sustainable *** one of the most important building ...
详细信息
To meet the requirements of specifications,intelligent optimization of steel bar blanking can improve resource utilization and promote the intelligent development of sustainable *** one of the most important building materials in construction engineering,reinforcing bars(rebar)account for more than 30%of the cost in civil engineering.A significant amount of cutting waste is generated during the construction *** cutting waste increases construction costs and generates a considerable amount of CO_(2)*** study aimed to develop an optimization algorithm for steel bar blanking that can be used in the intelligent optimization of steel bar engineering to realize sustainable *** the proposed algorithm,the integer linear programming algorithm was applied to solve the *** was combined with the statistical method,a greedy strategy was introduced,and a method for determining the dynamic critical threshold was developed to ensure the accuracy of large-scale data *** proposed algorithm was verified through a case study;the results confirmed that the rebar loss rate of the proposed method was reduced by 9.124%compared with that of traditional distributed processing of steel bars,reducing CO_(2)emissions and saving construction *** the scale of a project increases,the calculation quality of the optimization algorithmfor steel bar blanking proposed also increases,while maintaining high calculation *** the results of this study are applied in practice,they can be used as a sustainable foundation for building informatization and intelligent development.
This paper presents the Adaptive Resilience-based Convolutional Network (ARCNet), a sophisticated machine learning framework specifically designed to detect advanced, evasive malware. ARCNet combines convolutional and...
详细信息
暂无评论