• BMB Reports
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• v.46 no.1
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• pp.41-46
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• 2013

Identifying genes indispensable for an organism's life and their characteristics is one of the central questions in current biological research, and hence it would be helpful to develop computational approaches towards the prediction of essential genes. The performance of a predictor is usually measured by the area under the receiver operating characteristic curve (AUC). We propose a novel method by implementing genetic algorithms to maximize the partial AUC that is restricted to a specific interval of lower false positive rate (FPR), the region relevant to follow-up experimental validation. Our predictor uses various features based on sequence information, protein-protein interaction network topology, and gene expression profiles. A feature selection wrapper was developed to alleviate the over-fitting problem and to weigh each feature's relevance to prediction. We evaluated our method using the proteome of budding yeast. Our implementation of genetic algorithms maximizing the partial AUC below 0.05 or 0.10 of FPR outperformed other popular classification methods.

• Journal of the Korean Society of Costume
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• v.61 no.9
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• pp.74-83
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• 2011

In the sense that it performs a function of communication with public, fashion illustration, which visualizes fashion information in an illustrated way, shares similar characteristics with graffiti, which represents the society of its time while having a value as a modern art itself. Therefore, the study aims to seek possibility of graffiti expression of fashion illustration, and to establish theoretical research systems for reestablishment of practical development methods of the graffiti expressions. The concrete contents of this study include followings: First, it examines the methods and characteristics of the graffiti expressions by analyzing the works of graffiti artists in order to understand the concept of graffiti and to find out the theoretical approach to it. Second, it investigates the characteristics of graffiti, and proposes concepts associated with graffiti after analyzing examples of fashion illustration which graffiti expressions are reflected. Third, it draws meanings that the use of graffiti expressions has in fashion illustration. In conclusion, graffiti expressions in fashion illustration are used in brand logos and text, human body deformation and omissions, autonomous expressions of variety of materials, symbolism, amusement, and autonomy as they are characterized by strong colors to express significance.

• Fashion & Textile Research Journal
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• v.6 no.4
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• pp.421-426
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• 2004

In an information-oriented and internationalized society of the future, the quality and the price of goods made by each country will be equalized. That eliminates competition. But the design and appearance of products is an important factor in international competition. Indeed, design symbolizes a country's culture visually, and it can show the cultural identity and originality of a nation in international society. And that will play an important part that can contribute to creating added value. It is necessary to revive our people's old lyrical stories which are far away from our memory, and we badly need design development to revive traditional cultural merchandise through visual modernization. In this study, I chose lotus as the subject material of textile design development. And my intention for this study is to reflect Korean traditional cultural value as much as I can, and to develop textile design of Korean images by adding modern scenes. Also, I intend to print them on fabric, and apply them to cultural merchandise including scarves and ties, by using digital textile printing systems. The reasons for doing so, are to create high added value, and to let other peoples of the world, know about our excellent culture.

• Journal of the Korean Society for Precision Engineering
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• v.21 no.10
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• pp.86-93
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• 2004

This paper presents the remote measurement of the ECU signals adopted with KWP 2000 protocol using the wireless communication technique of bluetooth. The bluetooth technology will be the most promising network paradigm which can open the new area in the information technology. Especially, bluetooth module is able to link all the electrical products and personal computers to cellular phone or PDA. This research has a try to design a wireless measurement model of ECU signal based on the car telemery system using bluetooth device. In order to measure the ECU signals, we designed the interface circuits which is able to communicate between the ECU system and the terminal circuits according to the ISO, SAE regulation of communication protocol standard. A microprocessor S3c341 OX is used for the system control and communication of ECU signals. The embedded system software is programmed to measure the ECU signals using the ARM compiler and ANCI C based on Micro/OS-II kernel to communicate between two bluetooth modules using bluetooth stack. The remote measurement of ECU signals using the bluetooth was designed and implemented to evaluate the performance of wireless network to the transmit measurement data. The possibility for the remote measurement of the self diagnosis signals of ECU adopted with KWP2000 protocol verified through the developed systems and algorithms in embedded system.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 1996.04a
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• pp.680-684
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• 1996

Welding systems cannot adapt to changes in the joint geometry which may occur due to a variety of reason. Automatic seam tracking technigue is essential to adjust the welding torch position in real time as it moves along the seam. Automatic tracking system must keep the welding speed constant unrelation to the change of the welding path. Therefore, the information from the laser displacement sensor must be converted into the input to operate the X-Y table and to rotate the desired torch position by proposed algorithm. In this research, laser displacement sensor is used as a seam finder in the automatic tracking system. X-Y moving table manipulated by ac servo motor controls the position and velocity of the torch-and-sensor part. DC motor controls the position and velocity of the torch. X-Y table controls the position of sensor and relative position of torch is controlled by dc motor which is mounted at sensor-and-torch part. Sensor is always ahead of torch to preview the weld line. From the experimental results, we could see the possiblity that the laser displacement sensor can be used as a seam finder in welding process and that the seam tracking system controlled by proposed algorithm is well done.

• Journal of Life Science
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• v.12 no.2
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• pp.53-56
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• 2002

The baculovirus expression vector system (BEVS) is one of the powerful heterologous protein expression systems using insect cells. As a result this has become a hot issue in the fleld of biotechnology. The advantage of the BEVS is that the large-scale production of heterologous proteins, which undergo posttranslational modification in the endoplasmic reticulum (ER), can be accomplished. Altrough posttranslational modification of heterologous proteins in insect cells is more similar to mammalian cells than yeast, it is not always identical. Therefore, aggregation and degradation can sometimes occur in the ER. To produce a high level of bioactive heterologous proteins using BEVS in insect cells, the prerequisite is to completely understand the posttranslational conditions that determine how newly synthesized polypeptides are folded and assembling with ER chaperones in the ER lumen. Here, we provide information on current BEVS problems and the possibility of successful heterologous protein production from mammalian cells.

• Structural Engineering and Mechanics
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• v.27 no.6
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• pp.697-711
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• 2007

Though extensive research has been carried out for the ultimate strength of steel reinforced concrete (SRC) members under static and cyclic load, there was only limited information on the applied analysis models. Modeling of the inelastic response of SRC members can be accomplished by using a microcosmic model. However, generally used microcosmic model, which usually contains a group of parameters, is too complicated to apply in the nonlinear structural computation for large whole buildings. The intent of this paper is to develop an effective modeling approach for the reliable prediction of the inelastic response of SRC columns. Firstly, five SRC columns were tested under cyclic static load and constant axial force. Based on the experimental results, normalized trilinear skeleton curves were then put forward. Theoretical equation of normalizing point (ultimate strength point) was built up according to the load-bearing mechanism of RC columns and verified by the 5 specimens in this test and 14 SRC columns from parallel tests. Since no obvious strength deterioration and pinch effect were observed from the load-displacement curve, hysteresis rule considering only stiffness degradation was proposed through regression analysis. Compared with the experimental results, the applied analysis model is so reasonable to capture the overall cyclic response of SRC columns that it can be easily used in both static and dynamic analysis of the whole SRC structural systems.

• Smart Structures and Systems
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• v.22 no.2
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• pp.175-183
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• 2018

Time-series data often contain one of the most valuable pieces of information in many fields including manufacturing. Because time-series data are relatively cheap to acquire, they (e.g., vibration signals) have become a crucial part of big data even in manufacturing shop floors. Recently, deep-learning models have shown state-of-art performance for analyzing big data because of their sophisticated structures and considerable computational power. Traditional models for a machinery-monitoring system have highly relied on features selected by human experts. In addition, the representational power of such models fails as the data distribution becomes complicated. On the other hand, deep-learning models automatically select highly abstracted features during the optimization process, and their representational power is better than that of traditional neural network models. However, the applicability of deep-learning models to the field of prognostics and health management (PHM) has not been well investigated yet. This study integrates the "residual fitting" mechanism inherently embedded in the wavelet transform into the convolutional neural network deep-learning structure. As a result, the architecture combines a signal smoother and classification procedures into a single model. Validation results from rotor vibration data demonstrate that our model outperforms all other off-the-shelf feature-based models.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.17 no.3
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• pp.175-181
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• 2017

In this paper, we describe a design and development of car HUD(Head-Up-Display) navigation system using a Raspberry Pi. Car drivers can't concentrate on driving due to the use of various electronic devices, especially the car navigation systems installed in the cars. Therefore, car accident caused by not concentrating on the driving views is one of the most common accident types. In order to prevent the problems, HUD technology is used to help the driver to secure front views, thereby to minimize the traffic accidents caused by neglecting forward views. In this research, we propose the design and development techniques of a HUD navigation system using Raspberry Pi, and we believe that the commerical use of HUD navigation will grately reduce the risk of many car accidents.

• Journal of the Korean Institute of Telematics and Electronics
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• v.25 no.10
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• pp.1252-1262
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• 1988

This paper describes a functional-level design and simulation of Graphics Processor(GP) which can be used in various graphics systems. GP is divided into two parts: One is CPU, and the other is the interface to I/O peripherals. In order to achieve fast execution of graphics instructions, the CPU has special ALU, barrel shifter and window comparator and a FIFO for instruction prefetch. I/O part controls the DRAM and VRAM which constitute the GP's local memory, generates the signals to drive monitor, and communicates with the host processor. The functional simulation of CPU was done on Daisy workstation while the I/O part was designed using GENESIL, a silicon compiler.