Over the last years, home service robots have a wide range of potential applications, such as home security, patient caring, cleaning, etc. When developing robot software, one of the main challenges is to build the software architectural model. Software architecture is used throughout the software life-cycle for supporting analysis, guiding development, and acting as a roadmap for designers and implementers. Though many software architectures for robotic systems have been defined, none of them have reached all its objectives due to the great variability among systems behaviors, and still lack of systematic techniques to derive the robot software architecture from its requirements model. In this paper, we present a generic architectural model for home service robots, allowing for software architecture design, and preserving a continuous architectural view all along the development cycle. While avoiding the predominant decomposition problems, our approach allows for integration of the architectural components in a systematic and comprehensive way for efficient maintainability and reusability.
Text sentiment analysis is mostly used for the assessment of the author's mood depending on the context. The purpose of sentiment analysis (SA) is to discover the exactness of the underlying emotion in a given situation. It has been applied to various fields, including stock market predictions, social media data on product evaluations, psychology, the judiciary, forecasting, illness prediction, agriculture, and more. Many researchers have worked on these topics and generated important insights. These outcomes are useful in the field because they (outcomes) help people comprehend the general summary quickly, Additionally, SA aids in limiting the harmful effects of some posts on various social media sites such as Facebook and Twitter. For these reasons and more, we are proposing an approach to filter the social media content that could be emotionally harmful to the user, through getting the SM content(we will refer to social media as SM), for that we have used Twitter API to get the user posts (Twitter as an example of SM), then we have used API natural understanding language API tool to extract and classify the emotions of the Twitter content into five basic emotional categories: Joy, sadness, anger, fear, disgust. into an array of emotions, after that, we have defined a perfect emotion array from over 450 words from the English language. The main purpose of this comprehensive research article is to examine the proposed solution that we have conducted to improve the quality of content displayed to users emotionally.
NFC (Near Field Communication) is a radio frequency wireless communication technology for less distance (less than 10cm). It operates at a frequency of 13.56 MHz recently, it has been used for electronic payment between an Automated Teller Machine (ATM) and a Smartphone. It can be menaced by attacks which stole personal data like the user password, the user bank account number ant its amount. So, it must be protected and secured. In this paper, we present a cloud secured password, a simple secured authentication protocol, a simple proposed hash function and a simple test of intrusion to secure the NFC payment between an ATM and a Smartphone against eleven attacks. The analysis of our solution proves that it defends against eleven attacks; it is cost-effectiveness in terms of hardware, cost of calculation, storage space and cost of communication. The proposed technique of password and the protocol use simple cryptography operations, a simple hash function and simple operators.
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