با سلام خدمت کاربران در صورتی که با خطای سیستم پرداخت بانکی مواجه شدید از طریق کارت به کارت (6037997535328901 بانک ملی ناصر خنجری ) مقاله خود را دریافت کنید (تا مشکل رفع گردد).
ردیف | عنوان | نوع |
---|---|---|
1 |
Lifelogging Data Validation Model for Internet of Things Enabled Personalized Healthcare
مدل اعتبار سنجی داده های عمر برای اینترنت اشیاء فعال سلامت شخصی شده -2017 Internet of Things (IoT) technology offers
opportunities to monitor lifelogging data by a variety of assets,
like wearable sensors, mobile apps, etc. But due to heterogeneity
of connected devices and diverse human life patterns in an IoT
environment, lifelogging personal data contains huge uncertainty
and are hardly used for healthcare studies. Effective validation
of lifelogging personal data for longitudinal health assessment is
demanded. In this paper, lifelogging physical activity (LPA) is taken
as a target to explore how to improve the validity of lifelogging
data in an IoT enabled healthcare system. A rule-based adaptive
LPA validation (LPAV) model, LPAV-IoT, is proposed for eliminating irregular uncertainties (IUs) and estimating data reliability
in IoT healthcare environments. A methodology specifying four
layers and three modules in LPAV-IoT is presented for analyzing
key factors impacting validity of LPA. A series of validation rules
are designed with uncertainty threshold parameters and reliability indicators and evaluated through experimental investigations.
Following LPAV-IoT, a case study on a personalized healthcare
platform myhealthavatar connecting three state-of-the-art wearable devices and mobile apps are carried out. The results reflect
that the rules provided by LPAV-IoT enable efficiently filtering
at least 75% of IU and adaptively indicating the reliability of
LPA data on certain condition of IoT environments.
Index Terms: Data validation | Internet of Things (IoT) | personalized healthcare | physical activity |
مقاله انگلیسی |
2 |
Big Data Validation and Quality Assurance – Issuses, Challenges, and Needs
اعتبار سنجی و تضمین کیفیت داده های بزرگ- مسائل، چالش ها و نیازها-2016 With the fast advance of big data technology and
analytics solutions, big data computing and service is becoming a
very hot research and application subject in academic research,
industry community, and government services. Nevertheless, there
are increasing data quality problems resulting in erroneous data
costs in enterprises and businesses. Current research seldom
discusses how to effectively validate big data to ensure data quality.
This paper provides informative discussions for big data validation
and quality assurance, including the essential concepts, focuses,
and validation process. Moreover, the paper presents a comparison
among big data validation tools and several major players in
industry are discussed. Furthermore, the primary issues,
challenges, and needs are discussed.
Keywords: Quality assurance | big data quality assurance | big data validation | data validation |
مقاله انگلیسی |