Уважаемые коллеги, доброго времени суток! Представляем вам британское научное издание Personal and Ubiquitous Computing. Журнал имеет второй квартиль, издается в Springer London, его SJR за 2020 г. равен 0,416, пятилетний импакт-фактор - 2,636, печатный ISSN - 1617-4909, электронный - 1617-4917, предметные области - Аппаратная часть и системная архитектура, Теория управления и исследования операций, Прикладная наука о компьютерах. Вот так выглядит обложка:
Редактором является Петер Томас, контактные данные - personalubicomp@gmail.com, hello@manifesto-group.com
Дополнительные публикационные контакты - pavithra.brahmaiah.1@springernature.com, irish.marino@springer.com, journalpermissions@springernature.com, rachel.moriarty@springer.com.
К публикации принимаются рецензируемые междисциплинарные исследования по персональным и повсеместным технологиям и услугам. Журнал представляет глобальную перспективу новых разработок в области исследований в таких областях, как пользовательский опыт для передовых цифровых технологий, интернет - вещей, большие данные, социальные технологии, мобильные и носимые устройства.
Адрес издания - https://www.springer.com/journal/779
Пример статьи, название - Data encryption system for 5G cloud storage and big data fitness energy metabolism detection. Заголовок (Abstract) - With the advancement of science and technology, 5G technology has become more mature. Compared with previous 4G networks, 5G networks have the advantages of high speed and low latency. This article is based on the research combining 5G technology and 5G cloud storage technology, so that users can flexibly and quickly transfer the files or objects they want to share to different devices. However, it also has various security problems. For example, the continuous leakage of cloud data at home and abroad has caused irreparable losses to companies and individuals, which has led to serious privacy leaks among users. In the cloud storage mode, users must completely submit data to the cloud storage service provider for management and storage. However, trust in service providers is difficult to measure, and the confidentiality of data stored in cloud storage cannot be guaranteed. By combining cloud storage with fitness exercise, exercise intensity will directly affect the effect of physical exercise. Scientists at home and abroad have proposed many methods to determine exercise intensity, such as heart rate, energy expenditure, running speed, electrocardiogram, bicycle dynamometer, relative oxygen consumption percentage, and METS number, that is, energy metabolism equivalent. At present, heart rate is usually used as an index to measure or display exercise intensity. Heart rate indicators can not only reflect the state and level of basal metabolism but also reflect the degree of mobilization of internal organs and oxygen supply systems during exercise. Therefore, real-time monitoring of a person’s heart rate is essential for fitness activities. Keywords: 5G cloud storage; Data encryption system; Big data; Sports fitness detection
