• Journal of the Institute of Electronics Engineers of Korea SC
• /
• v.48 no.6
• /
• pp.24-33
• /
• 2011

This paper describes a gateway system based on a MOST network for integrating several different automotive network protocols. For transparent data communication among different protocols regardless of the high-level messages and the data format, Pseudo MOST frame was designed based on MOST frame and this pseudo MOST data frame is used as the data carrier. For automotive application, two types of gateways were developed, one board-type gateway and small-sized module-type gateways. One board-type gateway has ethernet port, video port and audio port. Meanwhile, small-sized module-type gateways are developed for video, audio, bluetooth and Flexray, respectively. Experiments with a network system using several small-sized module gateways verified efficient data communication among different network protocols and confirmed the effectiveness of the proposed gateway system for automotive network integration.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
• /
• v.1
• /
• pp.277-282
• /
• 2006

It is well known that Kalman filtering is an optimal real-time data fusion method for GPS/INS integration. However, it has some limitations in terms of stability, adaptability and observability. A Kalman filter can perform optimally only when its dynamic model is correctly defined and the noise statistics for the measurement and process are completely known. It is found that estimated Kalman filter states could be influenced by several factors, including vehicle dynamic variations, filter tuning results, and environment changes, etc., which are difficult to model. Neural networks can map input-output relationships without apriori knowledge about them; hence a proper designed neural network is capable of learning and extracting these complex relationships with enough training. This paper presents a GPS/INS integrated system that combines Kalman filtering and neural network algorithms to improve navigation solutions during GPS outages. An Extended Kalman filter estimates INS measurement errors, plus position, velocity and attitude errors etc. Kalman filter states, and gives precise navigation solutions while GPS signals are available. At the same time, a multi-layer neural network is trained to map the vehicle dynamics with corresponding Kalman filter states, at the same rate of measurement update. After the output of the neural network meets a similarity threshold, it can be used to correct INS measurements when no GPS measurements are available. Selecting suitable inputs and outputs of the neural network is critical for this hybrid method. Detailed analysis unveils that some Kalman filter states are highly correlated with vehicle dynamic variations. The filter states that heavily impact system navigation solutions are selected as the neural network outputs. The principle of this hybrid method and the neural network design are presented. Field test data are processed to evaluate the performance of the proposed method.

• The Journal of The Korea Institute of Intelligent Transport Systems
• /
• v.14 no.6
• /
• pp.37-49
• /
• 2015

In Space Syntax, the greater the degree of integration between separate links, the greater the links' accessibility from the target network. As such, planning pedestrian walks so that links with high degrees of integration are connected, or else inducing high integration value land use are both valid options. The travel distribution model reflects how walking demand, or more specifically, the pedestrian, partakes in route choosing behavior that minimizes select criteria, notably level of discomfort, as measured using travel distance and time. The model thus demonstrates travel patterns associated with demand pertaining to minimization of discomfort experienced by the pedestrian. This research introduces a method that integrates Space Syntax and the pedestrian travel distribution model. The integrated model will determine whether regions with high degrees of integration are actually being used as pivots for pedestrian demand movement, as well as to explain whether the degree of integration is sustained at an appropriate level while considering actual movement demand. As a means to develop the integrated model, a method that combines display of the visibility of the space syntax network and road-divided links is proposed. The pedestrian travel distribution model also includes an alternative path finding mechanism between origin and destination, which allows for uniform allocation of demand.

• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.18 no.10
• /
• pp.1553-1571
• /
• 1993

A significant amount of research has focused on the development of highly parallel architectures to obtain far more computational power than conventional computer systems. These architectures usually comprise of a large number of processors communicating through an interconnection network. The VLSI (Very Large Scale Integration) and WSI (Wafer Scale Integration) cellular arrays form one important class of those parallel architectures, and consist of a large number of simple processing cells, all on a single chip or wafer, each interconnected only to its neighbors. This paper studies three fundamental issues in these arrays : fault-tolerant reconfiguration. functional reconfiguration, and their integration. The paper examines conventional techniques, and gives an in-depth discussion about fault-tolerant reconfiguration and functional reconfiguration, presenting testing control strategy, configuration control strategy, steps required f4r each reconfiguration, and other relevant topics. The issue of integrating fault tolerant reconfiguration and functional reconfiguration has been addressed only recently. To tackle that problem, the paper identifies the relation between fault tolerant reconfiguration and functional reconfiguration, and discusses appropriate testing and configuration control strategy for integrated reconfiguration on VLSI and WSI cellular arrays.

• Herbal Formula Science
• /
• v.30 no.3
• /
• pp.145-154
• /
• 2022

Objective : This study aims to study core herbs and formulas in Internal medicine on Spleen system, to enhance efficiency in teaching Internal medicine on Spleen system, Herbalogy, Formula science, and to increase integration of the courses. Methods : Frequency notion, which was generally used in previous studies, was used in this study along with network analysis. Results : Frequently used herbs, herbs with high centrality, frequently combined herbs and core formula were found in this study. The herb with the highest frequency and centrality was 'Citri Unshius Pericarpium', and 'Atractylodis Rhizoma Alba - Citri Unshius Pericarpium' was the most frequent herb combination. The results of network analysis showed a total of 5 herbal communities of combination. Conclusion : Core herbs were found based on the frequency notion, which is a traditional analysis method. Also, core herbs, herbal combinations, formulas that can that may be overlooked when using frequency notions were found by using network analysis. The results may lead to enhancing efficiency in the education of Internal medicine on Spleen system, Herbalogy, Formula science courses and the integration of courses.

• International Journal of Computer Science & Network Security
• /
• v.23 no.10
• /
• pp.89-96
• /
• 2023

Intrusion detection has been widely studied in both industry and academia, but cybersecurity analysts always want more accuracy and global threat analysis to secure their systems in cyberspace. Big data represent the great challenge of intrusion detection systems, making it hard to monitor and analyze this large volume of data using traditional techniques. Recently, deep learning has been emerged as a new approach which enables the use of Big Data with a low training time and high accuracy rate. In this paper, we propose an approach of an IDS based on cloud computing and the integration of big data and deep learning techniques to detect different attacks as early as possible. To demonstrate the efficacy of this system, we implement the proposed system within Microsoft Azure Cloud, as it provides both processing power and storage capabilities, using a convolutional neural network (CNN-IDS) with the distributed computing environment Apache Spark, integrated with Keras Deep Learning Library. We study the performance of the model in two categories of classification (binary and multiclass) using CSE-CIC-IDS2018 dataset. Our system showed a great performance due to the integration of deep learning technique and Apache Spark engine.

• 한국지구물리탐사학회:학술대회논문집
• /
• 2003.11a
• /
• pp.553-556
• /
• 2003

The objective of this study is to implement geological functions on the Internet such as the visualization, search and analysis of geological data. To improve their performance and reduce the cost during development, special concerns should be given to the dynamic integration and interoperability of them. XML Web Service technologies can be adopted and OpenGIS specifications should be considered for the integration of distributed GIS components and their interoperability. Because standard Internet protocols and XML Messages are used in the Web Service, it makes the integration among different hardware and software systems possible. OpenGIS specifications also enable users to get benefits from geographic information and services across any network, platform and application. A prototype of efficient Internet GIS applications has been suggested in this study.

• Journal of Korean Society for Geospatial Information Science
• /
• v.3 no.2 s.6
• /
• pp.183-197
• /
• 1995

The broad meaning of system integration is to satisfy user requirement, and to secure and offer Hardware, Software, network, System development, maintenance, education and manpower in his own responsibility for successful business. But the basic concept of system integration is not justified and the methodology of propel procedure is not established. Therefore, in this thesis. first, We established the bagic concept of system integration in practical view. second, We modeled the propel procedure of system integration with many large project examples in view of up to date IT (information technology) view. We can enhance the compatative advantage by liking organizational strategy and IT and executing GIS project in view of system integration

• The Journal of The Korea Institute of Intelligent Transport Systems
• /
• v.15 no.6
• /
• pp.71-79
• /
• 2016

Evaluation of the walkability of the urban pedestrian network requires construction of a pedestrian network model that reflects Space Syntax Theory. Space Syntax Theory deduces an integration value through which materials for evaluation of the pedestrian network's connectivity can be produced; and can aid in illustrating the ease of walkability through the model's calculation of pedestrian indices such as movability, comfort, and safety. But the representation of space syntax theory in the pedestrian network requires that turn delay be added by means of a network-type construction method. While tree-based Dial Algorithm proposed for the logit-based probability walkability distribution model may be effective for link-based pedestrian volume distribution, it requires further network expansion to reflect turn delays. In this research, Vine-based Dial Algorithm is executed in order to obtain a measure reflecting the integration value for Space Syntax Theory. The Vine-based Dial Algorithm of two adjacent links, which forms the minimum unit of the Vine network, has the advantage of encompassing turn delay, and thus eliminates the need for network expansion. Usage of the model to evaluation of complicated pedestrian spheres such as urban roads is left to further research. Especially the progression of the proposed method is deduced through case study.

• Journal of the Economic Geographical Society of Korea
• /
• v.19 no.1
• /
• pp.83-103
• /
• 2016

This paper examines the characteristics of structural change in the international agro-food trade network with a global trend of the FTA diffusion. By focusing on the centralities and the community structure to identify the agro-food trade network, we use the social network analysis and the trade data contained of 07, 08, 20, and 21 at the 2-digit HS product level among 45 countries over the last 15 years. The main analytical results are as follows: 1) Not only has intra trade network intensified more than inter-regional trade, but also, there is no doubt that inter-regioanl trade by linking has steadily increased. 2) EU countires have the high indices of centrality, which have already been highly integrated. 3) Intraregional agro-food trade network for fresh vegetables and processed food sector in Asia is shown to be strongly integrated. This finding suggests that the processes of economic integration will help strengthen the trade network for agro-food in a culturally homogeneous region. 4) The case of Korea's participation in the RCEP and TPP, Korea's power in the agro-food network tends to be reinforced, especially in the processed food sector. Overall, there is a need for establishment of spatial strategies and policies across the different regions for Mega FTAs.