• Molecules and Cells
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• v.40 no.1
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• pp.73-81
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• 2017

The ${\gamma}$-secretase complex represents an evolutionarily conserved family of transmembrane aspartyl proteases that cleave numerous type-I membrane proteins, including the ${\beta}$-amyloid precursor protein (APP) and the receptor Notch. All known rare mutations in APP and the ${\gamma}$-secretase catalytic component, presenilin, which lead to increased amyloid ${\beta}$-peptide production, are responsible for early-onset familial Alzheimer's disease. ${\beta}$-amyloid protein precursor-like (APPL) is the Drosophila ortholog of human APP. Here, we created Notch- and APPL-based Drosophila reporter systems for in vivo monitoring of ${\gamma}$-secretase activity. Ectopic expression of the Notch- and APPL-based chimeric reporters in wings results in vein truncation phenotypes. Reporter-mediated vein truncation phenotypes are enhanced by the Notch gain-of-function allele and suppressed by RNAi-mediated knockdown of presenilin. Furthermore, we find that apoptosis partly contributes to the vein truncation phenotypes of the APPL-based reporter, but not to the vein truncation phenotypes of the Notch-based reporter. Taken together, these results suggest that both in vivo reporter systems provide a powerful genetic tool to identify genes that modulate ${\gamma}$-secretase activity and/or APPL metabolism.

• International Journal of Computer Science & Network Security
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• v.22 no.2
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• pp.232-240
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• 2022

To fulfill user expectations, the rapid evolution of software techniques and approaches has necessitated reliable and flawless software operations. Aging prediction in the software under operation is becoming a basic and unavoidable requirement for ensuring the systems' availability, reliability, and operations. In this paper, an improved evolutionary computing-driven extreme learning scheme (ECD-ELM) has been suggested for object-oriented software aging prediction. To perform aging prediction, we employed a variety of metrics, including program size, McCube complexity metrics, Halstead metrics, runtime failure event metrics, and some unique aging-related metrics (ARM). In our suggested paradigm, extracting OOP software metrics is done after pre-processing, which includes outlier detection and normalization. This technique improved our proposed system's ability to deal with instances with unbalanced biases and metrics. Further, different dimensional reduction and feature selection algorithms such as principal component analysis (PCA), linear discriminant analysis (LDA), and T-Test analysis have been applied. We have suggested a single hidden layer multi-feed forward neural network (SL-MFNN) based ELM, where an adaptive genetic algorithm (AGA) has been applied to estimate the weight and bias parameters for ELM learning. Unlike the traditional neural networks model, the implementation of GA-based ELM with LDA feature selection has outperformed other aging prediction approaches in terms of prediction accuracy, precision, recall, and F-measure. The results affirm that the implementation of outlier detection, normalization of imbalanced metrics, LDA-based feature selection, and GA-based ELM can be the reliable solution for object-oriented software aging prediction.

• Earthquakes and Structures
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• v.22 no.5
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• pp.487-502
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• 2022

China is prone to earthquake disasters, and the higher seismic performance is required by many existing civil buildings. And seismic evaluation and retrofit are effective measures to mitigate seismic hazards. With the development of performance-based seismic design and diverse retrofit technology for buildings, advanced evaluation methods and retrofit strategies are in need. In this paper, we introduced the evolution of seismic performance objectives in China combined with performance-based seismic design. Accordingly, multi-phase evaluation methods and comprehensive seismic capacity assessment are introduced. For buildings with seismic deficiency or higher performance requirements, the retrofit technologies are categorized into three types: component strengthening, system optimization, and passive control. Both engineering property and social property for the retrofit methods are discussed. The traditional seismic retrofit methods usually are costly and disturbing, and for example in Beijing, seismic strengthening costs approx. 1000 RMB/m² (for 160 USD/m²), for hospital building even more expensive as 5000 RMB/m²(for 790 USD/m²). So cost-efficient and little disturbance methods are promising techniques. In the end, some opinions about the retrofit strategy and schemes category are shared and wish to discuss the situation and future of seismic retrofit in China.

• Journal of KIISE:Software and Applications
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• v.29 no.8
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• pp.521-528
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• 2002

We propose a new approach to the feature selection for the classification of handwritten characters using two-dimensional(2D) wavelet packet bases. To extract key features of an image data, for the dimension reduction Principal Component Analysis(PCA) has been most frequently used. However PCA relies on the eigenvalue system, it is not only sensitive to outliers and perturbations, but has a tendency to select only global features. Since the important features for the image data are often characterized by local information such as edges and spikes, PCA does not provide good solutions to such problems. Also solving an eigenvalue system usually requires high cost in its computation. In this paper, the original data is transformed with 2D wavelet packet bases and the best discriminant basis is searched, from which relevant features are selected. In contrast to PCA solutions, the fast selection of detailed features as well as global features is possible by virtue of the good properties of wavelets. Experiment results on the recognition rates of PCA and our approach are compared to show the performance of the proposed method.

• Korean Institute of Interior Design Journal
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• v.25 no.1
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• pp.93-100
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• 2016

Long-life housing means a housing which structural members (Support) such as columns and floor are maintained for a long period of time and the housing can be used for approximately 100 years by replacing components (Infill) such as walls and furniture. The government established "Certification standards of long-life housing construction" on December 24, 2014, requiring the long-life housing certification for construction of apartment houses for over 1,000 households. However, it is necessary to prepare an incentive measure which could be granted to construction related personnel and housing owners due to the effectiveness of such system and recognition that the initial construction cost of long-life housing is high. The purpose of this study is as follows. First, the reasons and necessity of long-life housing cost increase for each construction company, housing owner, infill component manufacturer and designer which are long-life housing related personnel are determined. The direction of incentive grant for supplying long-life housing based on the determined items is established. The result of this study is as follows. First, a special treatment which is higher than the alleviation of construction standards according to the previous ordinance is necessary for construction companies to secure the business feasibility. Also, incentives such as the provision of service space and wide balcony are necessary to improve the preference level of parceling out. Second, financial incentives such as financial support for housing purchase, reduction and exemption of tax (acquisition tax and registration tax), and support of maintenance cost are required for house owners. Third, it is essential to increase opportunities to participate in the market for infill component manufacturers by applying additional points for PQ. Fourth, it is needed to provide compensation for additional human resource and time at the time of designing to designers by preparing the long-life housing design cost standards.

• Proceedings of the Korea Technology Innovation Society Conference
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• 2003.05a
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• pp.413-425
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• 2003

Information Technology is the kernel technology deciding the industrial standard of one nation, and biotechnology will be the main technology of next generation. Based on this fact, a lot of efforts were made to industrialize them. Nano Technology is beginning to position itself as the kernel fusion technology, and its usage and popularity is expanding. Environmental and Energy Technology is a must-have strategic technology considering the increase demand of new energy development, the international environment correspondence, the environment-friendly production, and so forth. Space Technology is the field, which will contribute to raise the domestic component and system technology to the next level. In 2001, new technology research development costs total of 1 trillion 32 billion won in the following fields; 437.82 billion won in IT, 88.457 billion won in BT, 46.799 billion won in NT, 315.682 billion won in ET, and 112 billion won in ST. from component ratio, IT forms 42% which is the most, 31% for ET and in order of BT, ST and NT. ETRI and KISTI are concentrating on IT, KIBB is on BT, KAERI, KIER, KERI and KBSI are focusing on ET, and KIMM, KRISS, KRICT and KORDI is participating together in 4∼5 new technology such as IT, BT, NT and ET. Funds for research development costs in 5 new technology fields of 13 contribution (year) are consisted as follows; The Office for Government Policy Coordination has contributed 131 billion won (13%), 387 billion won (37%) by MOST, 256 billion won (25%) by Ministry of Information and Communication, 67 billion won (6%) by Ministry of Commerce, Industry and Energy, 19% by others and the industrial world. < Strategy for Technology Advancing > o Promotion of comprehensive contributing (year) new technology development research plan project o Increase research efficiency by promoting new technology development project connected with peculiar projects of organization by contribution (year) o Formation of superior research group by technology and introduction of operation system for research accumulation are needed. o Technology demand-oriented assignment deduction and promotion of research development project connected with intermediate long term objective o National will and investment extension of research development costs, training and popularization of professionals, commercialization promotion with efficient control for research plan and result.

• The KIPS Transactions:PartB
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• v.9B no.4
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• pp.509-516
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• 2002

This paper proposes an efficient algorithm which recognizes the mixed document image consisting of the images, texts, tables, and straight lines. This system is composed of three steps. The first step is the detection of rotation angle for complementing skewed images, the second is detection of erasing an unnecessary background region and last is the classification of each component included in document images. This algorithm performs preprocessing of detecting rotation angles and correcting documents based on the detected rotation angles in order to minimize the error rate by skewness of the documentation. We detected the rotation angie using only horizontal and vertical components in document images and minimized calculation time by erasing unnecessary background region in the detecting process of component of document. In the next step, we classify various components such as image, text, table and line area included in document images. we applied this method to various document images in order to evaluate the performance of document recognition system and show the successful experimental results.

• Journal of the Korean Society for Precision Engineering
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• v.24 no.8 s.197
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• pp.130-137
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• 2007

The optimized prosthetic mass distribution was a controversial problem in the previous studies because they are not supported by empirical evidence. The purpose of the present study was to evaluate the effect of prosthetic mass properties by modeling musculoskeletal system, based on the gait analysis data from two above-knee amputees. The joint torque at hip joint was calculated using inverse dynamic analysis as the mass was changed in knee and foot prosthetic components with the same joint kinematics. The results showed that the peak flexion and abduction torque at the hip joint were 5 Nm and 15 Nm when the mass of the knee component was increased, greater than the peak flexion and abduction torque of the control group at the hip joint, respectively. On the other hand, when the mass of the foot component was increased, the peak flexion and abduction torque at the hip joint were 20 Nm and 15 Nm, greater than the peak flexion and abduction torque of the control, respectively. The hip flexion torque was 4.71-fold greater and 7.92-fold greater than the hip abduction torque for the knee mass increase and the foot mass increase on the average, respectively. Therefore, we could conclude that the effect of foot mass increase was more sensitive than that of knee mass increase for the hip flexion torque. On the contrary, the mass properties of the knee and foot components were not sensitive for the hip abduction torque. In addition, optimized prosthetic mass and appropriate mass distributions were needed to promote efficiency of rehabilitation therapy with consideration of musculoskeletal systems of amputees.

• Journal of the Korea Society of Computer and Information
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• v.13 no.6
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• pp.95-105
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• 2008

Recently use of embedded software has been increased to different areas. The requirements and demands for the embedded software have also been altered. In the past, the embedded system was used in simple task and small portable devices but now, the usage of the embedded software has expanded to do much more complex and precise actions in a variety platform environment. The embedded software enables multiple softwares to be integrated into one and at the same time, control it. Currently the biggest challenges embedded software is facing during its development process is the improvement in product production and quality assurance. Our research team has developed an embedded software based on the component (technology or methodology) which both improves production capabilities as well as quality. Additionally, we also established and constructed a reliability test system which can effectively test the quality of the developed embedded software to further increase its competiveness.

• Journal of the Korean Institute of Intelligent Systems
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• v.18 no.1
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• pp.20-26
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• 2008

As they have more and more intelligence robots or computers these days, so the interaction between intelligence robot(computer) - human is getting more and more important also the emotion recognition and expression are indispensable for interaction between intelligence robot(computer) - human. In this paper, firstly we extract emotional features at speech signal and facial image. Secondly we apply both BL(Bayesian Learning) and PCA(Principal Component Analysis), lastly we classify five emotions patterns(normal, happy, anger, surprise and sad) also, we experiment with decision fusion and feature fusion to enhance emotion recognition rate. The decision fusion method experiment on emotion recognition that result values of each recognition system apply Fuzzy membership function and the feature fusion method selects superior features through SFS(Sequential Forward Selection) method and superior features are applied to Neural Networks based on MLP(Multi Layer Perceptron) for classifying five emotions patterns. and recognized result apply to 2D facial shape for express emotion.