Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Cluster Sampling Method

Cluster Sampling Method

Appropriate sampling methods ensure that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
To choose a cluster sample, divide the population into clusters (groups) and then randomly select some of the clusters. All the members from these clusters are in the cluster sample. For example, if you randomly sample four departments from your...

Leaky Scanning

Leaky Scanning

During most eukaryotic translation processes, the small 40S ribosome subunit scans an mRNA from its 5' end until it encounters the first start AUG codon. The large 60S ribosomal subunit then joins the smaller one to initiate protein synthesis. The location of the translation initiation is largely determined by the nucleotides near the start codon as there may be multiple translation initiation sites present on the mRNA. Marilyn Kozak discovered that the sequence RCCAUGG (where R...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Associations of Hand-Grip Strength and Arm Muscle Mass Index Relative to Body Weight with Risk of Non-Alcoholic Fatty Liver Disease in Wheelchair Users.

Nutrients·2026

Same author

Mediating effects of physical activity and vitamin D on the association between cognition and dysmobility syndrome in Korean older women.

PeerJ·2026

Same author

Associations between walk ratio and osteoporosis and sarcopenia in community-dwelling older women.

Physical activity and nutrition·2026

Same author

Study on Next-Generation EUV Lithography Technology: Hyper NA, the Highest Potential for Practical Implementation.

ACS applied materials & interfaces·2025

Same author

Development of a prediction model for metabolic syndrome based on physical activity and fitness in individuals with physical disabilities.

Physical activity and nutrition·2025

Same author

Association of physical fitness with visceral fat status and metabolic dysfunction-associated fatty liver disease in individuals with spinal cord injury using manual wheelchair in Korea.

Preventive medicine reports·2025

Search research articles

Related Experiment Video

Updated: Oct 18, 2025

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

Low-Power Scan Correlation-Aware Scan Cluster Reordering for Wireless Sensor Networks.

Sangjun Lee¹, Kyunghwan Cho¹, Jihye Kim¹

¹Electrical and Electronic Engineering Department, Yonsei University, Seoul 03722, Korea.

Sensors (Basel, Switzerland)

|September 28, 2021

Summary

This summary is machine-generated.

This study introduces a new scan correlation-aware clustering method to reduce power consumption during cryptographic circuit testing in wireless sensor networks (WSNs). The approach effectively lowers test power, enhancing WSN security and data integrity.

Keywords:

cryptography design for testability (DFT)low-power testing scan chain reordering wireless sensor networks

More Related Videos

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles

Published on: March 13, 2017

ScanLag: High-throughput Quantification of Colony Growth and Lag Time

ScanLag: High-throughput Quantification of Colony Growth and Lag Time

Published on: July 15, 2014

Related Experiment Videos

Last Updated: Oct 18, 2025

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles

Published on: March 13, 2017

ScanLag: High-throughput Quantification of Colony Growth and Lag Time

ScanLag: High-throughput Quantification of Colony Growth and Lag Time

Published on: July 15, 2014

Area of Science:

Electrical Engineering
Computer Engineering
Cybersecurity

Background:

Cryptographic circuits are vital for wireless sensor network (WSN) security.
Manufacturing tests use scan architectures to ensure circuit quality and testability.
High test-power consumption is a challenge in complex chip designs.

Purpose of the Study:

To address the challenge of significant power reduction during scan testing without excessive computational time.
To propose a novel scan correlation-aware scan cluster reordering method for low-power testing.
To improve the reliability and security of cryptographic circuits in WSNs.

Main Methods:

Developed a novel scan correlation-aware clustering technique.
Grouped highly correlated scan cells together within the scan chain.
Implemented a scan chain reordering strategy based on the clustering.

Main Results:

Achieved significant test-power reduction in cryptographic circuits.
Demonstrated a relatively fast computational time compared to existing methods.
Validated the effectiveness of the proposed scan correlation-aware clustering.

Conclusions:

The proposed method offers an effective solution for reducing test-power consumption in WSN cryptographic circuits.
This approach enhances the security and integrity of information transmitted in WSNs.
The method balances power reduction with computational efficiency.