China
Africa
Explore chapters and articles related to this topic
SDI: A Violation of Professional Responsibility
Published in Michael Davis, Engineering Ethics, 2017
Satellites will be in fixed orbits that will not allow the same one to track a missile from its launch and to destroy it. The responsibility for tracking a missile will transfer from one satellite to another. Because of noise caused by the battle and enemy interference, a satellite will require data from other satellites to assist in tracking and discrimination. The result is a distributed real-time database. For the shield to be effective, the data will have to be kept up-to-date and consistent in real time. This means that satellite clocks will have to be accurately synchronized. None of this can be done when the network's components and communication links are unreliable, and unreliability must be expected during a real battle in which an enemy would attack the network. Damaged stations are likely to inject inaccurate or false data into the database.
Central Control and Management
Published in James Northcote-Green, Robert Wilson, Control and Automation of Electrical Power Distribution Systems, 2017
James Northcote-Green, Robert Wilson
SCADA/DMS data are input via the data engineering process, which is composed of creating pictures and linking the corresponding point data with the picture data. Integrated graphical tools that ensure data consistency are employed in modern systems, with a checklist to guide the user in completing all required data elements before populating the real-time database. Many data (Table 2.8) are resident in other enterprise IT applications, and it is natural to assume data can be transferred through standard interfaces between applications.
IoT and Blockchain
Published in E. Golden Julie, J. Jesu Vedha Nayahi, Noor Zaman Jhanjhi, Blockchain Technology, 2020
A. Mohana Priya, R. Malathi, S. Hemalatha, K. E. Kannammal
It provides functionalities such as analytics, databases, messaging, and crash reporting. It is engineered on Google infrastructure and scales mechanically. It is easy to integrate firebase with android and the web. APIs are packaged into single SDK; hence it can be expanded to more platforms. It provides a real-time database and backend service. The real-time values from the sensors are uploaded to firebase through Raspberry pi. Figure 4.8 shows that the base is integrated with mobile apps for management purpose.
Study and implementation of automated system for detection of PCOS from ultrasound scan images using artificial intelligence
Published in The Imaging Science Journal, 2023
M. Sumathi, P. Chitra, S. Sheela, C. Ishwarya
The pre-processed image was subjected to segmentation using Edge detection and Threshold with Morphological operators. From the segmented image, nine features were extracted and these features represented to have a significant remarkable difference among the infected and not infected images. Using GLCM algorithm, the features were extracted and the same were presented to the classifiers for representation of True Positives, True Negatives, False Positives, and False Negatives. The overall system performance analysis with regard to sensitivity, specificity and accuracy were compared with the results of other research papers. The result obtained had a 99% accuracy rate and could be applied to diagnose PCOS automatically in its early stages. The system provided statistics such as accuracy to produce full diagnosis of Ultrasound image using the classifier DarkNet-19 indicating better performance. An explainable AI can be used further to construct our model in a reliable manner. In future the method can be implemented with a greater number of real time database so that the accuracy of the system can be improved.
1-D convolution neural network based leak detection, location and size estimation in smart water grid
Published in Urban Water Journal, 2023
Pooja Choudhary, B. A. Botre, S. A. Akbar
The main contributions of the work are as follows- Design and development of a novel smart water grid (SWG).Integration of water grid and data analytics techniques.Generation of an IoT-based real-time database with various water hydraulic sensors as well as water quality sensors.Leak detection, leak location and leak size estimations discovered simultaneously using a novel 1-D CNN network in the water distribution network.Accuracy improvement in leak detection, leak size estimation and leak location.
Enhancing User’s Self-Disclosure through Chatbot’s Co-Activity and Conversation Atmosphere Visualization
Published in International Journal of Human–Computer Interaction, 2022
Rafikatiwi Nur Pujiarti, Bumho Lee, Mun Yong Yi
We built a set of chatbot scenarios using Google’s Natural Language Understanding (NLU) platform called Dialogflow. For each experiment day, chat scenarios were pre-defined, so as to control the experiment setting. The chatbot was also equipped with Dialogflow’s SmallTalk ability to answer questions that users may ask outside the scope of the study, although the chabot’s ability is still limited. We built a web application chatbot using Python (server side) and JavaScript (client side). When the user said something, the client-side created a request to the server-side. The server-side took the user’s message. We used Flask, a Python-based web framework for the server-side. Then, the server called Dialogflow API to detect the user’s intent. Dialogflow matched user input with appropriate intent and returned the matched intent and its corresponding chatbot response to the server. The server then sent this dialog information to the client so that it could respond to the user. The user’s conversation log and dialog information were stored in the Firebase real-time database. Finally, we used Heroku to host the web application. The complete design structure of the system is depicted in Figure 1.