Results 51 to 60 of about 283,792 (257)

IoT Security: Emerging Security Challenges for Multiprotocol IoT Gateways [PDF]

IoT (Internet of Things) gateways are intermediary devices that connect IoT devices to the cloud or other network infrastructures. Due to their ability to communicate with multiple protocols and facilitate interoperability between various IoT devices and
Aminu, Usman
core   +3 more sources

Green electronics for a sustainable IoT deployment

, 2023
The IoT is designed to optimize the resources and energy consumption processes of its end-users, but how can we diminish the resource footprint IoT itself?
CSEM, IoT and vision
core  

How “Green” is Your Functional Material? Assessing Environmental Impacts of Multi‐Step Synthetic Protocols in Material Sciences at Various Technology Levels

Advanced Materials, EarlyView.
Environmental Synthesis Radar (ESR) evaluates the environmental impact of (early‐stage) multi‐step chemical syntheses, providing a holistic view by using 18 midpoint impact categories. Unlike conventional life‐cycle assessment (LCA) approaches, ESR reveals three complementary metrics: overall impact Vtotal, environmental hotspots VEF, and critical ...
Laura Plein, Alexander Schommer, Florian Dietrich, Moritz Gutsch, Heike Klesper, Kevin Schuller, Lars Jahnke, Jens Leker, Klaus Meerholz   +8 more
wiley   +1 more source

Automatic Sorting System for Wood Diameter Grades

IEEE Access
Wood is one of the energy sources for sustainable development, which is closely related to our life. In the wood production process, it will be sorted according to different diameter grade is an essential link, at present the wood sorting work mainly ...
Jiaxin Liu, Linghua Kong, Jishi Zheng, Zhigang Ding, Li Feng, Yanlu Lv   +5 more
doaj   +1 more source

Radiative Thermal Management for Extreme Environments: Mechanisms and Design Strategies

Advanced Materials, EarlyView.
In this review, we discuss the fundamental mechanisms of radiative cooling and solar heating, material and structural design strategies, hybrid approaches integrating additional heat transfer pathways, and durability‐oriented designs addressing environmental stresses.
Hyung Rae Kim, Haeseong Kim, Joo Hwan Ko, Gil Ju Lee, Dae‐Hyeong Kim, Young Min Song   +5 more
wiley   +1 more source

A Distributed Learning Method for ℓ 1 -Regularized Kernel Machine over Wireless Sensor Networks

Sensors, 2016
In wireless sensor networks, centralized learning methods have very high communication costs and energy consumption. These are caused by the need to transmit scattered training examples from various sensor nodes to the central fusion center where a ...
Xinrong Ji, Cuiqin Hou, Yibin Hou, Fang Gao, Shulong Wang   +4 more
doaj   +1 more source

Enabling IoT ecosystems through platform interoperability [PDF]

, 2017
Today, the Internet of Things (IoT) comprises vertically oriented platforms for things. Developers who want to use them need to negotiate access individually and adapt to the platform-specific API and information models.
Arne Broring, Denis Kramer, Ernest Teniente, Le Phuoc, Danh, Schindhelm, Corina-Kim, Anicic, Darko, Corina-Kim Schindhelm, Kabisch, Sebastian, Mitic, Jelena, Jelena Mitic, Kramer, Denis, Teniente López, Ernest, Darko Anicic, Khelil, Abdelmajid, Bröring, Arne, Stefan Schmid, Schmid, Stefan, Danh Le Phuoc, Abdelmajid Khelil, Sebastian Kabisch   +19 more
core   +1 more source

Tamper‐Responsive Physical Unclonable Functions via Graphene‐Interlayered Block Copolymer Random Structures

Advanced Materials, EarlyView.
Self‐invalidating multilayer physical unclonable functions (PUFs) integrate fingerprint‐like metal nanopattern bilayers from block copolymer templates with highly reactive reduced graphene oxide (rGO) interlayers. This tamper‐responsive architecture blocks all unauthorized physical and chemical replication attempts while autonomously deactivating ...
Gyu Hui Jo, Dae Hui Park, Jeong‐Ho Jang, Woo Seok Tack, Jin Man Kim, Hak Ki Yu, Hyeong Min Jin, Jang Hwan Kim   +7 more
wiley   +1 more source

Preoperative knee hyperextension is the most relevant predictor for ACL reconstruction objective failure: a machine learning analysis of 680 patients

Orthopaedic Journal of Sports Medicine
Objectives To evaluate the predictive performance of different machine learning algorithms for the occurrence of objective failure in ACL reconstruction and to identify the most relevant predictors associated with this outcome.
CP Helito, AGM Silva, JR Pecora, RG Gobbi, RK Alaiti, CS Vallio   +5 more
doaj   +1 more source

Improved Genetic Algorithm for High-Utility Itemset Mining

IEEE Access, 2019
High-utility itemset mining (HUIM) is an important research topic in the data mining field. Typically, traditional HUIM algorithms must handle the exponential problem of huge search space when the database size or number of distinct items is very large ...
Qiang Zhang, Wei Fang, Jun Sun, Quan Wang   +3 more
doaj   +1 more source