• The Journal of the Korea institute of electronic communication sciences
• /
• v.18 no.5
• /
• pp.747-754
• /
• 2023

Energy-efficient routing protocol is an important task in a wireless sensor network that is used for monitoring and control by wirelessly collecting information obtained from sensor nodes deployed in various environments. Various routing techniques have been studied for this, but it is also necessary to consider WSN environments with specific situations and conditions. In particular, due to topographical characteristics or specific obstacles, a hole where sensor nodes are not deployed may exist in most WSN environments, which may result in inefficient routing or routing failures. In this case, the geographical routing-based hall bypass routing method using GPS functions will form the most efficient path, but sensors with GPS functions have the disadvantage of being expensive and consuming energy. Therefore, we would like to find the boundary node of the hole in a WSN environment with holes through minimal sensor function and propose hole bypass routing through boundary line formation.

• Annual Conference of KIPS
• /
• 2008.05a
• /
• pp.995-998
• /
• 2008

무선 통신 기술의 발전과 함께 802.11n과 같은 광대역 네트워크 인프라의 구축이 확대됨에 따라, 이에 적합한 높은 성능을 낼 수 있는 전송 계층의 프로토콜이 필요하다. 유선 환경에서 개발된 TCP(Transmission Control Protocol)는 현재 가장 널리 이용하는 전송 프로토콜이다. 하지만 높은 에러율과 긴 딜레이가 발생하는 무선 네트워크상에서는 패킷 손실의 원인을 구별하지 못하기 때문에 성능이 저하된다. 또한, 광대역폭을 지원하는 초고속 네트워크상에서 TCP가 동작할 경우 기존 무선 네트워크에서 처리하는 혼잡윈도우 값보다 커진 값을 제대로 처리하지 못하기 때문에 가용대역폭을 활용하지 못하는 문제점이 발생한다. 따라서, 본 논문에서는 초고속 네트워크 안에서 slowstart threshold에 기반하여 가용대역폭을 동적으로 획득하고, 높은 전송률을 보장하는 TCP VEST(TCP Vegas-based Estimator with Slowstart Threshold)를 제안한다. TCP VEST는 기본적으로 송신자기반 무선네트워크에서 우수한 성능을 지원하는 TCP WestwoodVT의 패킷 손실원인 구분법을 사용한다. 그리고 TCP VEST는 패킷 손실의 원인을 구분하고 각각의 경우에 따라서 전송량을 slowstart threshold 값의 변화에 맞춰 조절한다. NS-2를 통한 성능평가에서 VEST는 WestwoodVT와 비교했을 때 링크 에러율이 1%인 환경에서는 20% 이상의 전송률 향상을 나타내며, Westwood와 비교했을 때는 60%의 성능향상이 있다. 또한 초고속 네트워크에서 5%와 10% 사이의 에러율을 가질 때에는 WestwoodVT와는 50%, Westwood와는 300% 이상의 성능향상이 나타남을 보인다. 이를 통해 VEST가 기존의 무선 네트워크와 더불어 초고속 네트워크에서도 동적으로 대역폭을 획득함으로써 높은 전송률을 지원하는 것을 입증한다.

• The Journal of the Korea institute of electronic communication sciences
• /
• v.18 no.5
• /
• pp.841-852
• /
• 2023

Gas turbines, which are used as generators for frequency regulation of the domestic power system, are increasing in use due to the carbon-neutral policy, quick startup and shutdown, and high thermal efficiency. Since the gas turbine rotates the turbine using high-temperature flame, the turbine inlet temperature is acting as a key factor determining the performance and lifespan of the device. However, since the inlet temperature cannot be directly measured, the temperature calculated by the manufacturer is used or the temperature predicted based on field experience is applied, which makes it difficult to operate and maintain the gas turbine in a stable manner. In this study, we present a model that can predict the inlet temperature of a reheat gas turbine based on Deep Neural Network (DNN), which is widely used in artificial neural networks, and verify the performance of the proposed DNN based on actual data.

• The Journal of the Korea institute of electronic communication sciences
• /
• v.18 no.6
• /
• pp.1125-1132
• /
• 2023

The importance of networks is gradually expanding in the battlefield environment. As time goes by, the types of tactical data links used in the Korean JTDLS are increasing, and the military's weapon systems equipped with tactical data link systems are increasing. Thorough quality verification is required to provide stable software to the wider battlefield. This study examines how to prepare an environment in which various simulation tests to verify the stability of the Korean JTDLS project can be conducted as diverse as possible using minimal physical space and Hardware resources. Through this, it is possible to improve the completeness of the project and secure the stability of the program, and it is intended to contribute to securing higher stability and reliability by securing maximum test capabilities in a limited test environment even in Linux based system project of a similar environment.

• The Journal of the Korea institute of electronic communication sciences
• /
• v.18 no.6
• /
• pp.1081-1086
• /
• 2023

The rapid growth and increasing complexity of modern networks have highlighted the limitations of traditional network architectures. The emergence of SDN (Software-Defined Network) in response to these challenges has changed the existing network environment. The SDN separates the control unit and the data unit, and adjusts the network operation using a centralized controller. However, this structure has also recently caused a huge amount of traffic due to the rapid spread of numerous Internet of Things (IoT) devices, which has not only slowed the transmission speed of the network but also made it difficult to ensure quality of service (QoS). Therefore, this paper proposes a method of load distribution by switching the IP and any server (processor) from the existing data processing scheduling technique, RR (Round-Robin), to mapping when a large amount of data flows in from a specific IP, that is, server overload and data loss.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
• /
• v.16 no.6
• /
• pp.378-384
• /
• 2023

In this study, we aim to derive the descriptor vector conditions that can simultaneously achieve the efficiency and accuracy of artificial Neural Network Potentials (NNP). The material system selected is silicon, a highly applicable material in various industries. Atomic structure-dependent energy data for training artificial neural networks were generated through density functional theory calculations. Behler-Parrinello type atomic-centered symmetric functions were employed as descriptors, and various length vector NNPs were generated. These NNPs were applied to reproduce the structure and mechanical properties of silicon materials in molecular dynamics simulations. In our findings, the minimum vector length for achieving both learning and computational efficiency while maintaining property reproducibility is approximately 50. It was also observed that, for the same conditions, incorporating more angle-dependent symmetric functions into the descriptor vector, could enhance the accuracy of NNP. Our results can provide guidelines for optimizing the conditions of descriptor vectors to achieve both efficiency and accuracy of NNP, simultaneously.

• Journal of the Korea Society of Computer and Information
• /
• v.29 no.1
• /
• pp.111-119
• /
• 2024

In this paper, we propose a big data platform that can collect information from various sources collected at ocean. Currently operating ocean-related big data platforms are focused on storing and sharing created data, and each data provider is responsible for data collection and preprocessing. There are high costs and inefficiencies in collecting and integrating data in a marine environment using communication networks that are poor compared to those on land, making it difficult to implement related infrastructure. In particular, in fields that require real-time data collection and analysis, such as weather information, radar and sensor data, a number of issues must be considered compared to land-based systems, such as data security, characteristics of organizations and ships, and data collection costs, in addition to communication network issues. First, this paper defines these problems and presents solutions. In order to design a big data platform that reflects this, we first propose a data source, hierarchical MEC, and data flow structure, and then present an overall platform structure that integrates them all.

• The Journal of the Korea institute of electronic communication sciences
• /
• v.19 no.1
• /
• pp.119-126
• /
• 2024

In building information model (BIM), it is difficult to train an artificial intelligence (AI) model due to the lack of sufficient data about individual projects in an architecture firm. In this paper, we present a methodology to correctly train an AI neural network model based on a large language model (LLM) to predict the steel structure product weight ratios in BIM. The proposed method, with the aid of the LLM, can overcome the inherent problem of limited data availability in BIM and handle a combination of natural language and numerical data. The experimental results showed that the proposed method demonstrated significantly higher accuracy than methods based on a smaller language model. The potential for effectively applying large language models in BIM is confirmed, leading to expectations of preventing building accidents and efficiently managing construction costs.

• International Journal of Internet, Broadcasting and Communication
• /
• v.16 no.2
• /
• pp.10-21
• /
• 2024

Recently, audio systems are changing the configuration of conventional sound reinforcement (SR) systems and public address (PA) systems by using audio over IP (AoIP), a technology that can transmit and receive audio signals based on internet protocol (IP). With the advancement of IP technology, AoIP technologies are leading the audio market and various technologies are being released. In particular, audio networks and control hierarchy over peer-to-peer (Anchor) technology based on AoIP is a system that transmits and receives audio signals over a wide bandwidth without an audio mixer, creating a novel paradigm for existing audio system configurations. Anchor technology forms an audio system by connecting audio sources and output equipment with On-site audio center (OAC), a device that can transmit and receive IP. Anchor's receiving OAC is capable of receiving and mixing audio signals transmitted from different IPs, making it possible to configure a novel audio system by replacing the conventional audio mixer. However, Anchor technology does not have the ability to provide audio effects to input devices such as microphones and instruments in the audio system configuration. Due to this, when individual control of each audio source is required, there is a problem of not being able to control the input signal, and it is impossible to individually affect a specific input signal. In this paper, we implemented a tone control module that can individually control the tone of the audio source of the input device using the audio processor core in the audio system based on Anchor technology, tone control for audio sources is possible through a tone control module connected to the transmitting OAC. As a result of the study, we confirmed that OAC receives the signal from the audio source, adjusts the tone and outputs it on the tone control module. Based on this, it was possible to solve problems that occurred in Anchor technology through transmitting OAC and tone control modules. In the future, we hope that the audio system configuration using Anchor technology will become established as the standard for audio equipment.

• Journal of The Korean Institute of Defense Technology
• /
• v.5 no.2
• /
• pp.10-16
• /
• 2023

This study establishes the operation concept of the 4th industrial revolution defense technology and communication facility-based 5G MUM-T system, and diagnoses our current situation, focusing on the case of US government technology policy, which is a leading country in 5G MUM-T system and operation. And to advance the operation of the 5G MUM-T system, reflect combat robots and drones in the detailed classification of weapon systems, early introduction of low-orbit 5G satellite communication, expansion of the use of 5G specialized networks and wholesale provision for demonstration and verification, establishment of a defense AI governance system, Suggests the necessity of a 3-class method for radiological weapon systems. For future research, it is important to respond to the technological evolution of 6G MUM-T and 6G NTN and compare and analyze each country's policy cases, such as China, Germany, the United Kingdom, and Japan.