Intelligence Networking & Computing Lab, Busan, Rep. of Korea

Intelligence Networking & Computing Lab, Busan, Rep. of Korea

About us
We approach our projects with strategic and creative thinking. We partner with our clients to create big ideas and digital experiences.
12
Sep

Improvement of Multi-Channel LoRa Networks based on Distributed Joint Queueing

LoRa has gained popularity in realizing IoT applications by facilitating long-range communication with low power consumption. However, LoRa faces scalability issues due to its unsophisticated random access (RA) protocol, Aloha, which is vulnerable to collision and not scalable in dense network scenarios. In contrast, distributed queuing (DQ), a collisionfree contention-based RA protocol, is a promising […]

13
Oct

Opportunistic and On-Demand Network Coding-Based Solutions for LPWAN Forwarding

The single-hop star-of-stars topology in low-power and wide-area networks (LPWAN) exhibits reliability and substandard coverage issues, especially in urban areas where line-of-sight (LoS) communication is difficult to achieve. Moreover, LPWAN trade-off the data rate to achieve longer coverage, preventing other end-devices from using the time resource. Locating other gateways is uneconomical as it requires infrastructure, […]

07
Jan

PcLoRa: Point-coordinating LoRa with new Channel Structure for massive, reliable and low-latency IoT

LoRa is an unlicensed band-based low-power and wide-area (LPWA) technology, which has great network resource constraints because of its limited available frequency resource due to narrow industrial scientific medical (ISM) band, long response time due to its low data rate and low resource utilization due to its primitive medium access control (MAC). This paper studies […]

07
Jan

OODC: An Opportunistic and On-Demand Forwarding Mechanism for LPWA Networks

The single-hop star-of-stars topology of current Low Power Wide Area Network (LPWAN) is simple and robust but still lack of network coverage because of signal attenuation. We present a forwarding mechanism to increase the coverage and re-liability of LPWAN. Two key characteristics of our approach are on-demand and opportunistic forwarding. While most previous studies adopt […]

01
Jun

Unequal loss protection scheme using a quality prediction model in a Wi-Fi broadcasting system

Wireless local area network–based broadcasting techniques are a type of mobile Internet Protocol television technology that simultaneously transmits multimedia content to local users. Contrary to the existing wireless local area network– based multimedia transmission systems, which transmit multimedia data to users using unicast packets, a wireless local area network–based broadcasting system is able to transmit […]

13
Mar

Haplotype-resolved and integrated genome analysis of ENCODE cell line HepG2

HepG2 is one of the most widely used human cancer cell lines in biomedical research and one of the main cell lines of ENCODE. Although the functional genomic and epigenomic characteristics of HepG2 are extensively studied, its genome sequence has never been comprehensively analyzed and higher order genomic structural features are largely unknown. The high […]

08
Feb

Comprehensive, integrated, and phased whole-genome analysis of the primary ENCODE cell line K562

K562 is widely used in biomedical research. It is one of three tier-one cell lines of ENCODE and also most commonly used for large-scale CRISPR/Cas9 screens. Although its functional genomic and epigenomic characteristics have been extensively studied, its genome sequence and genomic structural features have never been comprehensively analyzed. Such information is essential for the […]

22
Jul

Machine Learning-based Arrhythmia Diagnosis Algorithm

As interest in cardiovascular disease increases, there is significant development in real-time healthcare services and devices. This paper suggests a machine learning-based arrhythmia diagnosis algorithm for mobile healthcare systems linked to a wearable electrocardiogram measurement device. The system monitors electrocardiograms in real time and distinguishes among arrhythmia, normal, and noise signals. By regular monitoring using […]

22
Jul

Machine Learning-Based Object Detection System Using PIR Sensor

As interest in cardiovascular disease increases, there is significant development in real-time healthcare services and devices. This paper suggests a machine learning-based arrhythmia diagnosis algorithm for mobile healthcare systems linked to a wearable electrocardiogram measurement device. The system monitors electrocardiograms in real time and distinguishes among arrhythmia, normal, and noise signals. By regular monitoring using […]

30
May

CLOF: Contribution Level Based Opportunistic Flooding for Multihop Wireless Networks

In this study, we propose a contribution-level-based opportunistic flooding for multihop wireless networks. Traditional flooding techniques typically use fixed routing and predetermined relay nodes based on the assumption of fixed and reliable links. However, because of the inherent instability of wireless links, these approaches typically lead to fragile and unreliable broadcasting. To overcome this problem, […]