The end of 2019 and the start of 2020 remained the time of the world's largest medical emergency due to Coronavirus disease known as COVID-19, outbreak in all over the world. We designed an automated robotic assistance system for the patients who are kept in quarantine. In the proposed system, doctors can remotely monitor the medical condition of a patients by maintaining social distance. A robotic cart will provide food and medicine to the patient. The proposed system also contains an emergency system where the doctor and paramedical staff can be called through the LCD panel installed aside the patient's bed or through the mobile application. The article portrays the three levels of the development of the model: the equipment level, which contains the sensors, actuators and robot execution. The design level, which defines the distinctive practical services; and the application level which illustrate the administrations offered by the system. The setup will enable the medical staff to deal with the maximum patients at less time. Also, it will enable them to make social distancing to pay more attention to severely affected patients.

Big data analytics and the Internet of Things (IoT) are currently most evolving topics in the field of technology. The leading idea behind the internet of things is that almost every device that has some mac address must be linked with each other. One of the most unique features of IoT is its real-time communication of information about these devices linked together. In the past few years, huge piles of data had been generated due to the miniaturization and diversifying of physical devices that can have mac address. These huge piles of data have compromised the storage and data collection mechanism. Furthermore, this pyramid of data is completely useless without any analytical power. However, the solutions are still in their embryonic stage and this field lacks a comprehensive study and surveys. The four main distinct features about IoT are a) data processing, data change (OTLP), and high-speed data flow (b) huge data sizes generally in TBs and PBs (c) highly diverse structural and unstructured data, query language (d) diverse source of data. This paper explores the state-of-the-art research efforts projected towards these data analytics. Furthermore, data analytic methods and technologies for mining these big data are discussed.

Glass fibers were characterized for physical and chemical changes before and after subjecting to aging under different environmental conditions. The conditions selected were: low temperature, outdoor atmosphere, indoor atmosphere, chemical environment, 95% humidity & water soaking treatment. The results show that glass fiber is a good candidate to resist sunlight, corrosive atmosphere, low temperature and shady atmosphere. The influence of prolonged time exposure to water caused a detrimental effect on the properties of the glass fiber. Hence, prolonged exposure to water should be avoided for the integrity of the glass fiber under study.

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