• Journal of Korean Neurosurgical Society
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• v.30 no.sup2
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• pp.235-241
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• 2001

Objective : Controversy exists which surgical treatment better in lumbar grade I spondylolisthesis, decompressive laminectomy with or without lumbar instrumentation. Methods : Out of Sixty-four patients with lumbar spondylolisthesis underwent surgery, 18 patients operated with decompressive laminectomy alone and 44 patients with decompession and lumbar instrument, during recent 5-years between January, 1994 and December, 1998. The author studied a long term follow-up in the above two groups to analyzing the overall clinical outcomes in each group and to determining the incidence of pos-toperative radiologic instability. Results : 1) Overall postoperative symptoms improvement were not so different in both groups. 2) Postoperative progressive subluxation is more common after decompressive laminectomy without instrumentation than with instrumentation group. 3) Overall clinical outcomes were slightly better in decompressive laminectomy without instrumentation than with instrumentation group but there was no significant difference. 4) Postoperative radiologic changes did not seem to influence the patient-reported clinical outcomes. 5) Postoperative complications is more common in decompressive laminectomy with instrumentation group than without instrumentation group. Conclusion : In the surgical management of grade I spondylolisthesis, the efficiency and superiority of surgical treatments requires the cost effectiveness and risk/benefit analysis of decompressive laminectomy with or without instrumentation. Therefore, Further detailed studies of long term follow up in a large number of patients in each group are needed for choice of best treatment.

• Nuclear Engineering and Technology
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• v.56 no.7
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• pp.2534-2544
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• 2024

This paper proposes a flooding safety system (FSS) and its operation strategy that can provide long-term safety and effective maintenance for modules of small modular reactor (SMR) and metal containment maintained at dried environment during normal operation. During hypothesized accidents, the FSS re-collects the evaporated steam into the common pool by the condenser installed above the common water pool and provides an emergency coolant for the cavities and auxiliary pools. This study suggested that the condensate re-collection strategy using the FSS can effectively delay the depletion of available water in response to the accidents. Without recollection, the achievable grace periods ranged from 44 to 1507 days for six-module and one-module accidents, respectively. However, with a full re-collection (ratio = 1.0), the time to total depletion of emergency coolant was estimated indefinite. Even with a partial re-collection ratio of 0.3, a grace period of 83.5 days could be ensured for a six-module transient. This study reported the effectiveness of condensate re-collection and the FSS as an innovative safety management strategy and system. Employing a condensate re-collection strategy with a high re-collection ratio can enhance the long-term safety and effective convenience of SMR operations and maintenance.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.36 no.5
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• pp.315-321
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• 2023

Long-span bridges are flexible structures with low natural frequencies and damping ratios, making them susceptible to vibrational serviceability problems. However, the current design guideline of South Korea assumes a uniform threshold of wind speed or vibrational amplitude to assess the occurrence of harmful vibrations, potentially overlooking the complex vibrational patterns observed in long-span bridges. In this study, we propose a pointwise vortex-induced vibration (VIV) detection method using a deep-learning-based signalsegmentation model. Departing from conventional supervised methods of data acquisition and manual labeling, we synthesize training data by generating sinusoidal waves with an envelope to accurately represent VIV. A Fourier synchrosqueezed transform is leveraged to extract time-frequency features, which serve as input data for training a bidirectional long short-term memory model. The effectiveness of the model trained on synthetic VIV data is demonstrated through a comparison with its counterpart trained on manually labeled real datasets from an actual cable-supported bridge.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.42 no.2
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• pp.358-365
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• 2017

In order for developing countries to design and deploy Long Term Evolution (LTE) network in a cost-efficient manner, the differentiated way of technological design and deployment methods are necessary as compared to those for advanced countries. This paper focused on Radio Access Network (RAN) design methodology for developing countries that consists of major part of the network cost. To verify the effectiveness of the suggested design methodology, a Korean telecom company A's actual design experience in an African developing country was examined.

• STI Policy Review
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• v.4 no.2
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• pp.55-73
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• 2013

Since the 1990s, the Japanese government has made considerable attempts at stimulating innovation with an aim to pull the country out of a possibly permanent economic decline. Several laws and policy initiatives were introduced to encourage better interaction between universities (and research institutions) and industry. The results of these efforts have been mixed. While the number of university-industry joint and commissioned research has increased, revenues from the licensing of university-owned patents have fluctuated year by year. Although the number of startups and spin-offs from universities rose, their long-term survival and contribution to the economy remain uncertain. The Japanese experience features both strengths and weaknesses. Strengths include the long-term commitment of policy makers, the ability to set specific targets, and the active engagement of several key economic ministries. Nevertheless, the effectiveness of these policy initiatives was hampered by limitations within the policies concerning the roles of universities and their mode of interaction with industry based on intellectual property rights, the inadequacy of demand-side innovation policies, the fragmentation of bureaucracy, and a lack of a credible evaluation system.

• Journal of Korean Neurosurgical Society
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• v.39 no.2
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• pp.96-101
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• 2006

Objective : The authors assess the long term effectiveness of gamma knife radiosurgery[GKS] for remnant or recurred craniopharyngiomas on tumor control and possibly set proper radiation dose for tumor control with utmost preservation of the adjacent structures. Methods : Sixteen GKS were done in 14 patients with recurred or remnant craniopharyngiomas after surgery. Mean follow up duration was 44.2 months [range $11.3{\sim}123.6\;months$]. Follow up MR imagings were analyzed. Results : Mean tumor volume was $3.6cm^3$ [range $0.6{\sim}18cm^3$] and mean margin dose was 12.2Gy [range $8{\sim}22.4Gy$]. Tumor control was achieved in 87.5% [14 of 16 tumors] which were either solid or cystic in nature. Dose to optic apparatus was mean 7.9Gy and no radiation related complications were observed. Conclusion : GKS seems to be effective treatment modality for craniopharyngiomas regardless of nature of tumor whether it is cystic or solid. Dose of 8 to 8.5Gy may be sufficient to achieve long term tumor control for remnant or recurred craniopharyngiomas.

• Journal of Wetlands Research
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• v.16 no.1
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• pp.33-39
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• 2014

The purpose of this study is to monitor the rainwater flowing from the roof of buildings and to maximize the effectiveness of the rainwater storage. This study also analyses the changes in rainwater characteristics before and after subsequent chlorination disinfection. The stored rainwater was disinfected by chlorine and then analyzed for COD, TN, TP, enteric bacteria, and general microbial population changes over time. There was an observed 99% reduction of enteric bacteria and common microbes within two weeks after chlorine injection. Thus, chlorine disinfection of rainwater improves water quality for long-term storage and future use.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.8
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• pp.2993-3010
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• 2021

The job shop scheduling problem (JSSP) plays a critical role in smart manufacturing, an effective JSSP scheduler could save time cost and increase productivity. Conventional methods are very time-consumption and cannot deal with complicated JSSP instances as it uses one optimal algorithm to solve JSSP. This paper proposes an effective scheduler based on deep learning technology named self-supervised long-short term memory (SS-LSTM) to handle complex JSSP accurately. First, using the optimal method to generate sufficient training samples in small-scale JSSP. SS-LSTM is then applied to extract rich feature representations from generated training samples and decide the next action. In the proposed SS-LSTM, two channels are employed to reflect the full production statues. Specifically, the detailed-level channel records 18 detailed product information while the system-level channel reflects the type of whole system states identified by the k-means algorithm. Moreover, adopting a self-supervised mechanism with LSTM autoencoder to keep high feature extraction capacity simultaneously ensuring the reliable feature representative ability. The authors implemented, trained, and compared the proposed method with the other leading learning-based methods on some complicated JSSP instances. The experimental results have confirmed the effectiveness and priority of the proposed method for solving complex JSSP instances in terms of make-span.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.7
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• pp.3599-3619
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• 2019

In human activity recognition system both static and motion information play crucial role for efficient and competitive results. Most of the existing methods are insufficient to extract video features and unable to investigate the level of contribution of both (Static and Motion) components. Our work highlights this problem and proposes Static-Motion fused features descriptor (SMFD), which intelligently leverages both static and motion features in the form of descriptor. First, static features are learned by two-stream 3D convolutional neural network. Second, trajectories are extracted by tracking key points and only those trajectories have been selected which are located in central region of the original video frame in order to to reduce irrelevant background trajectories as well computational complexity. Then, shape and motion descriptors are obtained along with key points by using SIFT flow. Next, cholesky transformation is introduced to fuse static and motion feature vectors to guarantee the equal contribution of all descriptors. Finally, Long Short-Term Memory (LSTM) network is utilized to discover long-term temporal dependencies and final prediction. To confirm the effectiveness of the proposed approach, extensive experiments have been conducted on three well-known datasets i.e. UCF101, HMDB51 and YouTube. Findings shows that the resulting recognition system is on par with state-of-the-art methods.

• Journal of Home Health Care Nursing
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• v.28 no.2
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• pp.111-123
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• 2021

Purpose: This study aimed to present the management strategies necessary to improve the operational efficiency of visiting nurse centers and evaluate their effectiveness. Methods: The subjects of this study were visiting nurse centers registered as long-term care centers. Based on value chain analysis, cost information analysis, and data envelope analysis, the study was carried out according to the Magerison's management consulting procedure, for six months. This procedure comprised eight sub-steps of approach and application. Results: The following management strategies were agreed upon: establishment of a cooperative network with other visiting care centers, creation of high satisfaction of external customers by providing practical training to care workers, and making rehabilitation and exercise services as the core nursing activities to be focused on. Conclusion: The management consulting process and analysis method applied in this study can referred to as a useful methodological framework for revitalizing visiting nursing centers in the future.