Intelligent home risk assessment systems and integration with biometric identification

The development of cutting-edge technologies such as the Internet of Things, computers, and electronics and people’s pursuit of quality of life have promoted the development of smart homes. Intelligent homes are popular and popular because of their smart, convenient and simple operation. Intelligent home has broad market prospects and development value in the future, and it is of great significance to the research of intelligent home system. In order to meet the daily needs, this paper proposes an Internet of things control system for intelligent home. After completing the design of the entire system, the function and performance of the entire system are tested. System test mainly from the function and performance of two aspects of testing. It can be seen from the system test that the intelligent home control system designed is sensitive to the control function, and the control type meets the needs of life and has good stability. Therefore, the intelligent home control system has a certain use value in real life.

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An intelligent home system controlled via GSM, GPRS and the Internet was developed to investigate the control system of intelligent home. The home environment including concentration of carbon dioxide, UV intensity, light intensity, smoke concentration, temperature and humidity were real-time transmitted to the host computer monitoring platform. The intelligent home system supports four different control methods with the remote control functions of household appliances, security locks of doors, lighting system and smart curtains realized through a variety of network.

Homes are becoming more intelligent due to the growth of smart sensors and devices found in typical homes. However, most of these sensors and devices function independently from one another, limiting the amount of utility and services a truly "smart" home can provide. In this demonstration, we introduce two key ideas towards more intelligent homes. First, we explore the usage of mobile drones in the home environment. Second, we propose DIA, a system that seamlessly connects to the home environment and automatically discovers and jointly utilizes smart sensors and actuators around the home to provide services that are otherwise not possible. We demonstrate three services that DIA enables.

With the development of science and technology, people's demands for life are getting higher and higher, smart home has become the new theme of the times. Smart home more and more people to become a necessary way to pursue a comfortable life. When the smart home gateway to the family in a variety of home appliances through the home bus technology together, it constitutes a powerful, highly intelligent modern smart home system. This paper mainly introduces the wisdom of home, and its related concepts and core technology, as well as from domestic and foreign market situation and the application of electronic technology in intelligent home.

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The master of science concentration in applied artificial intelligence and expert systems at George Washington University

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Intelligent home is becoming the hot spot of social attention in the 21st century. When it is in China, it is a really new industry. However, there is no doubt that Intelligent home will become a new economic growth point of social development; it will change the life-style of human being. To develop the intelligent home, we should keep up with the development trend of technology. This is the reason why I talk about the intelligent home control system here.In this paper, intelligent home control system is designed for alarm and remote control on gas- leaking, fire disaster, earthquake prediction, etc., by examining environmental changes around house. When the Intelligent home control system has detected an accident occurs, the processor will communicate with the GSM module, informing the house keeper the occurrence of accident. User can receive and send the message to the system to cut the power by mobile phone. The system can get access to DCCthrough ARM10 JTAG interface, using DCC to send and receive messages. At the same time, the debugger on the host is mainly used to receive the user’s command and send it to the debug component in the target system. The data that returned from the target system is received and displayed to the user in a certain format.

Many problems in trading and regulation depend on textual data that identifies objects, events, and relationships. In general, these trading and regulatory activities require data from a variety of sources that must be 'intelligently integrated', in order to draw attention to a particular object or group of objects to indicate unusual trading opportunities or to help indicate unusual market behavior for regulators. Text classification techniques have been used for a number of years on Wall Street as significant components of intelligent data integration systems. The authors discuss work on text classification for noisy domains, and discuss how this work has been applied in trading and regulatory systems. >

A complete intelligent voice-controlled home system should include voice capture, voice recognition, authentication, voice result processing, and other processes. Based on the intelligent voice interaction model of Raspberry Pi 3b+ and Alibaba Cloud platform, this paper realized a high recognition accurate, stable, and efficient intelligent voice-controlled home system. We used the Raspberry Pi to control the hardware interface, collected voice data through an external microphone, and performed command control with external sensors and controllable devices in the hardware part; The software was based on Alibaba Cloud intelligent voice interaction platform to realize voice data recognition. The system constructed can achieve the expected function after repeatedly testing the controlled device. The test results show that the recognition accuracy and recognition efficiency of the system's voice control instructions are both high in a relatively quiet environment.

Rapider responses are required from ATM banking suppliers to security requests. The current network environment has made it easier for hackers to engage in illicit activity. One of the most pressing issues confronting modern IT teams is network security. There is no doubt that ATM financial transactions should be protected against security risks by several different layers, but service providers should also incorporate security implications in their service offerings. And a lot concerning security flaws, credit card or identity card fraud, and methods for thieves and crackers to get their hands on any logical pin numbers or passwords. Identification, used in the current architecture to permit a system's access, is analogous to a username. Since passwords can be hijacked or misplaced, it is crucial to utilize authentication to confirm that the intended user is truly who their claim to be. The most recent solutions to security and privacy issues are biometric identification and authentication systems. Face recognition is the study of characteristics of a person being that can be used to recognize them. These physical characteristics include, among other things, fingerprints, faces, hand shapes, voices. This study surveys the various security system authentication methods. Top-level safety in authentication is provided by this facial biometric with QR code verification.

Non-intellectual factors in mathematics are key psychological factors that influence students’ cognitive activities and, consequently, their learning efficiency. While the assessment of these factors has gained increasing academic attention, research on the effective use of intelligent tools to assess and improve students’ non-intellectual factors remains insufficient. This study employed intelligent technology to develop the Intelligent Assessment and Strategy Implementation System for Non-intellectual Factors in Mathematics Learning for Primary and Secondary School Students, which integrates an assessment index system, scales, regional norms, and personalized improvement strategies, enabling it to automatically generate bulk reports on students’ non-intellectual factor scores across various dimensions and provide targeted improvement strategies. In order to test its effectiveness, the intelligent system was applied across several provinces, cities, and schools in China. Eleventh-grade students from X Middle School in T City served as a representative case study. The interventions were based on the strategies provided by the system, and the research consistently demonstrated that the “Intelligent Assessment and Strategy Implementation System of Mathematics Non-intellectual Factors for Primary and Secondary School Students” effectively delivers high-precision diagnoses and personalized intervention strategies.

Pulmonary Alveolar Proteinosis. Diagnostic and Pathologic Implications of Pulmonary Washings. Get access Jose Ramirez-Rivera, M.D., Jose Ramirez-Rivera, M.D. Research Service, Veterans Administration Hospital, Baltimore, Maryland, and Department of Anatomy, George Washington University, Washington, D. C. Search for other works by this author on: Oxford Academic Google Scholar Michael Liebman, M.S., Michael Liebman, M.S. Research Service, Veterans Administration Hospital, Baltimore, Maryland, and Department of Anatomy, George Washington University, Washington, D. C. Search for other works by this author on: Oxford Academic Google Scholar John C. Bartone, PH.D. John C. Bartone, PH.D. Research Service, Veterans Administration Hospital, Baltimore, Maryland, and Department of Anatomy, George Washington University, Washington, D. C. Search for other works by this author on: Oxford Academic Google Scholar American Journal of Clinical Pathology, Volume 45, Issue 4, 1 April 1966, Pages 415–419, https://doi.org/10.1093/ajcp/45.4.415 Published: 01 April 1966 Article history Received: 12 October 1965 Published: 01 April 1966

Mother Ada Wright and the International Campaign to Free the Scottsboro Boys, 1931–1934