• Journal of Korean Society of Water and Wastewater
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• v.34 no.1
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• pp.35-43
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• 2020

Turbidity has various effects on the water quality and ecosystem of a river. High turbidity during floods increases the operation cost of a drinking water supply system. Thus, the management of turbidity is essential for providing safe water to the public. There have been various efforts to estimate turbidity in river systems for proper management and early warning of high turbidity in the water supply process. Advanced data analysis technology using machine learning has been increasingly used in water quality management processes. Artificial neural networks(ANNs) is one of the first algorithms applied, where the overfitting of a model to observed data and vanishing gradient in the backpropagation process limit the wide application of ANNs in practice. In recent years, deep learning, which overcomes the limitations of ANNs, has been applied in water quality management. LSTM(Long-Short Term Memory) is one of novel deep learning algorithms that is widely used in the analysis of time series data. In this study, LSTM is used for the prediction of high turbidity(>30 NTU) in a river from the relationship of turbidity to discharge, which enables early warning of high turbidity in a drinking water supply system. The model showed 0.98, 0.99, 0.98 and 0.99 for precision, recall, F1-score and accuracy respectively, for the prediction of high turbidity in a river with 2 hour frequency data. The sensitivity of the model to the observation intervals of data is also compared with time periods of 2 hour, 8 hour, 1 day and 2 days. The model shows higher precision with shorter observation intervals, which underscores the importance of collecting high frequency data for better management of water resources in the future.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.29 no.4
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• pp.795-805
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• 2019

Recently, there is a growing interest in network anomaly detection technology to tackle unknown attacks. For this purpose, diverse studies using data mining, machine learning, and deep learning have been applied to detect network anomalies. In this paper, we evaluate the decision tree to see its feasibility for network anomaly detection on NSL-KDD data set, which is one of the most popular data mining techniques for classification. In order to handle the over-fitting problem of decision tree, we select 13 features from the original 41 features of the data set using chi-square test, and then model the decision tree using TensorFlow and Scik-Learn, yielding 84% and 70% of binary classification accuracies on the KDDTest+ and KDDTest-21 of NSL-KDD test data set. This result shows 3% and 6% improvements compared to the previous 81% and 64% of binary classification accuracies by decision tree technologies, respectively.

• Information Systems Review
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• v.3 no.2
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• pp.277-288
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• 2001

Of critical importance to the success of any e-commerce site are the two factors: rapid application development and quick response time. A three-tier architecture composed of presentation layer, business layer, and data access layer emerges to allow rapid changes in user interface, business logic, and database structures. Too often, such a logical three-tier architecture is considered as requiring a three-tier physical architecture: Web server, application server, and database server running on separate computers. Contrary to the common belief, a Web stress test reveals that the three-tier logical architecture implemented on a two-tier physical platform guarantees a quicker response time due to the reduction in cross-machine communications. This would lead business firms to economize their spending on e-commerce: increasing the number of physical servers to expedite transaction is not necessarily the best solution. Before selecting a particular hardware configuration, a Web stress test needs to be conducted to compare the relative merits of alternative physical architectures. Together with capacity planning, Web stress test emerges as a powerful tool to build robust, yet economical e-commerce sites.

• Proceedings of the SAREK Conference
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• 2008.11a
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• pp.95-98
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• 2008

A power line communications, power, the outgoing line is a means of communication. DC 12 volt power lines in the system over the 2-wire control signals with the power to send the cargo configuration, and, in the basement living space, temperature, humidity, dust, CO2 sensors, and through the cooperation of the real-time detection and valves of the appropriate amount of wind, fan was designed to control. By the system's ability to communicate and control the room temperature or the status of amount of wind sent to the central system to transmit and receive signals to the center of the future, the ability to control the company said. In addition, the system HMI (Human Machine Interface) terminal by the direct control and if necessary personal portable devices to communicate with the living conditions of the underground environment in the best state that the purpose is to build.

• Proceedings of the Korean Society for Technology of Plasticity Conference
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• 2003.10a
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• pp.97-100
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• 2003

Globally, the various machine components, as in electronics and communications, are demanded to being high-performance and micro-scale with abrupt development of the fields of computers, mobile communications. As this current tendency, production of the parts that must have high accuracy, so called milli-structure, are accomplished by the method of top-down, differently as in the techniques of MEMS, NANO. But, in the case of milli-structure, production procedure is highly costs, difficult and demands more accurate dimension than the conservative forming, processing technique. In this paper, forming analysis of the micro-former as the milli-structure are performed and then calculate the punch force etc. This information calculated is applied to decide the forming capacity of micro-former and design the process of forming stage, dimension of dies in another forming bodies. And, for the better precise forming analysis, elasto-plastic analysis is to be performed, then the consideration about effect of elastic recovery when punch and die are unloaded, have to be discussed in change of dimensions.

• Journal of Information Processing Systems
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• v.20 no.1
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• pp.38-52
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• 2024

The 5G is the 5th generation mobile network that provides enhanced mobile broadband, ultra-reliable & low latency communications, and massive machine-type communications. New services can be provided through multi-access edge computing, network function virtualization, and network slicing, which are key technologies in 5G mobile communication. However, these new technologies provide new attack paths and threats. In this paper, we analyzed the overall threats of 5G mobile communication through a literature review. First, defines 5G mobile communication, analyzes its features and technology architecture, and summarizes possible security issues. Addition, it presents security threats from the perspective of user devices, radio access network, multi-access edge computing, and core networks that constitute 5G mobile communication. After that, security requirements for threat factors were derived through literature analysis. The purpose of this study is to conduct a fundamental analysis to examine and assess the overall threat factors associated with 5G mobile communication. Through this, it will be possible to protect the information and assets of individuals and organizations that use 5G mobile communication technology, respond to various threat situations, and increase the overall level of 5G security.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.37C no.9
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• pp.851-858
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• 2012

Java crypto library such as SUN JCA/JCE or BC JCE is generally used to implement secure applications for smart devices using Android platform. Programming functions written by Java language are launched and executed inside Java Virtual Machine (JVM), thereby difficult to use system hardware specific functionalities and degrading performance as well. In case of crypto primitive, few secure applications can use crypto primitive executing in JVM because both amount of computing and complexity of such primitives are very high. From the aspect of performance, in particular, time sensitive real time applications such as streaming services or secure application frequently applying public key based crypto algorithm cannot use Java crypto library. To solve the problem, we design and implement crypto library which employ JNI and NDK methods to directly access functions that implemented by native language such as C or C++. The proposed Java Crypto provider supports faster execution. Also developer can use our provider in the same way by writing traditional Java crypto library.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.20 no.6
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• pp.1069-1073
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• 2016

The Internet of Things (IoT) is the interconnection of uniquely identifiable embedded computing devices within the existing Internet infrastructure. IoT is expected to offer advanced connectivity of devices, systems, and services that goes beyond machine-to-machine communications and covers a variety of protocols, domains, and applications. Key system-level features that IoT needs to support can be summarized as device heterogeneity, scalability, ubiquitous data exchange through proximity wireless technologies, energy optimized solutions, localization and tracking capabilities, self-organization capabilities, semantic interoperability and data management, embedded security and privacy-preserving mechanisms. Time information is a critical piece of infrastructure for any distributed system. Time information and time synchronization are also fundamental building blocks in the IoT. The IoT requires new paradigms for combining time and data. This paper reviews conventional time keeping mechanisms in the Internet and presents issues to be considered for combining time and data in the IoT.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.32 no.11C
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• pp.1102-1110
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• 2007

In this paper, we design the FPGA (Field-Programmable Gate Array) of the CAMB (Constant-Amplitude Multi-code Biorthogonal) modulation, and implement the SoC (System on Chip). The ASIC (Application Specific Integrated Circuit) chip is be implemented through targeting and board test. This 12Mbps modem SoC includes the ARM (Advanced RISC Machine)7TDMI, 64Kbyte SRAM(Static Random Access Memory) and ADC (Analog to Digital Converter)/DAC (Digital to Analog Converter) for flexible applications. Additionally, the modem SoC can support the variable communication interfaces such as the 16-bits PCMCIA (Personal Computer Memory Card International Association), USB (Universal Serial Bus) 1.1, and 16C550 Compatible UART (Universal Asynchronous Receiver/Transmitter).

• Journal of the Korea Institute of Information Security & Cryptology
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• v.25 no.2
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• pp.439-448
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• 2015

IoT (Internet of Things) propels current networked communities into a advanced hyper-connected society/world where uniquely identifiable embedded computing devices are associated with the existing internet infrastructure. Therefore, the IoT services go beyond mere M2M (Machine-to-Machine communications) and should be able to empower users with more flexible communication capabilities over protocols, domains, and applications. In addition, The access control in IoT need a differentiated methods from the traditional access control to increase a security and dependability. In this paper, we describe implementation and design of the capability token based system for secure access control in IoT environments. In the proposed system, Authorities are symbolized into concepts of the capability tokens, and the access control systems manage the tokens, creation, (re)delegation and revocation. The proposed system is expected to decrease the process time of access control by using capability tokens.