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IoT and Blockchain-Based Mask Surveillance System for COVID-19 Prevention Using Deep Learning

Computers, Materials & Continua 2022年第7期72卷 2033-2053页

作者： Wahidur Rahman Naif Al Mudawi Abdulwahab Alazeb Muhammad Minoar Hossain saima siddique Tashfia MdTarequl Islam Shisir Mia Mohammad Motiur Rahman Department of Computer Science and Engineering Mawlana Bhashani Science and Technology UniversityTangailBangladesh Department of Computer Science Najran UniversityNajran55461Saudi Arabia

On the edge of the worldwide public health crisis,the COVID-19 disease has become a serious headache for its destructive nature on humanity *** a facial mask can be an effective possible solution to mitigate the spreading of the virus and reduce the death ***,wearing a face mask in public places such as shopping malls,hotels,restaurants,homes,and offices needs to be *** research work comes up with a solution of mask surveillance system utilizing the mechanism of modern computations like Deep Learning(DL),Internet of things(IoT),and *** absence or displacement of the mask will be identified with a raspberry pi,a camera module,and the operations of DL and Machine Learning(ML).The detected information will be sent to the cloud server with the mechanism of IoT for real-time data *** proposed model also includes a Blockchain-based architecture to secure the transactions of mask detection and create efficient data security,monitoring,and storage *** research further includes an IoT-based mask detection scheme with signal bulbs,alarms,and notifications in the *** find the efficacy of the proposed method,a set of experiments has been enumerated and *** research work finds the highest accuracy of 99.95%in the detection and classification of facial *** related experiments with IoT and Block-chain-based integration have also been performed and calculated the corresponding experimental data *** Scale(SUS)has been accomplished to check the satisfaction level of use and found the SUS score of 77%.Further,a comparison among existing solutions on three emergent technologies is included to track the significance of the proposed ***,the proposed system can be an efficient mask surveillance system for COVID-19 and workable in real-time mask detection and classification.

关键词： Internet of things(IoT) blockchain deep learning feature reduction surveillance system

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Qualitative and Quantitative Estimation of Hydroquinone in Skin Whitening Cosmetics

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Journal of Cosmetics, Dermatological Sciences and Applications 2012年第3期2卷 224-228页

作者： saima siddique Zahida Parveen Zeeshan Ali Muhammad Zaheer PCSIR Labs Complex Lahore Pakistan

Hydroquinone has been used for decades as a skin lightening agent. Its use in cosmetics has been banned as a result of skin problems including contact dermatitis and ochronosis. A total of 22 samples of different skin whitening cosmetics were collected from local market. They were analyzed by using thin layer chromatography and HPLC for qualitative and quantitative determination of their hydroquinone contents. The hydroquinone was extracted from samples by using 96% ethanol and was subjected to TLC analysis. Eleven out of 22 samples were found to contain hydroquinone. The HPLC analysis showed the concentration of hydroquinone ranged from 0.002% to 0.092% in the cosmetic samples.

关键词： Hydroquinone HPLC Whitening Cosmetics Thin Layer Chromatography

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