• Journal of Chest Surgery
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• v.51 no.2
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• pp.130-132
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• 2018

Coronary sinus ostial atresia (CSOA) with persistent left superior vena cava (LSVC) in the absence of an unroofed coronary sinus is a benign and rare anomaly that may be taken lightly in most instances. However, if overlooked in patients undergoing univentricular heart repair such as bidirectional Glenn or Fontan-type surgery, fatal surgical outcomes may occur due to coronary venous drainage failure. We report a case of CSOA with a persistent LSVC that was managed through coronary sinus rerouting during a total cavopulmonary connection, and provide a review of the literature regarding this rare anomaly.

• Journal of Trauma and Injury
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• v.25 no.2
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• pp.63-66
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• 2012

Resection of the bowel is necessary for the repair of a ventral hernia after recovery from trauma in some cases. In such instances, polyester or polypropylene meshcannot be used due to the possibility of infection; we had to use biological mesh instead. We report a case in which a traumatic hernia was repaired with Permacol (Covidien, Norwalk, CT, USA). A 42-year-old male patient had been injured by a factory machine seven months prior to admission. At that time, he had abdominal wall injury and small bowel perforation. His abdominal wall had been a defect after operation. A CT scan of the abdomen showed that the left abdominal wall, which is lateral to left rectus abdominis muscle had only one muscle layer, an external oblique muscle, and that a previous abdominal incision had a defect along the entire incision. During the exploration, 10 cm of small bowel was removed due to firm adhesion to the previous surgical scar. Permacol mesh was applied and fixed with transfascial fixations and tacks by using the intraperitoneal onlay mesh technique. There were no complications after the surgery and the patient was discharged without any problems.

• ETRI Journal
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• v.25 no.5
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• pp.387-400
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• 2003

Since its launching on 21 December 1999, the Korea Multi-Purpose Satellite-I (KOMPSAT-I) has been successfully operated by the Mission Control Element (MCE), which was developed by the ETRI. Most of the major functions of the MCE have been successfully demonstrated and verified during the three years of the mission life of the satellite. This paper presents the operational performances of the various functions in MAPS. We show the performance and analysis of orbit determinations using ground-based tracking data and GPS navigation solutions. We present four instances of the orbit maneuvers that guided the spacecraft form injection orbit into the nominal on-orbit. We include the ground-based attitude determination using telemetry data and the attitude maneuvers for imaging mission. The event prediction, mission scheduling, and command planning functions in MAPS subsequently generate the spacecraft mission operations and command plan. The fuel accounting and the realtime ground track display also support the spacecraft mission operations.

• International Journal of Advanced Culture Technology
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• v.8 no.3
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• pp.223-230
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• 2020

Companies have made an investment of cost and time to optimize processing of a new business model in a cloud environment, applying collaboration technology utilizing business processes in a social network. The collaborative processing method changed from traditional BPM to the cloud and a mobile cloud environment. We proposed a collaborative system for operating processes in social networks using MOXMDR-DAI+ (eXtended Metadata Registry-Data Access & Integration based multimedia ontology). The system operating cloud-based collaborative processes in application of MOXMDR-DAI+, which was suitable for data interoperation. MOXMDR-DAI+ applied to this system was an agent effectively supporting access and integration between multimedia content metadata schema and instance, which were necessary for data interoperation, of individual local system in the cloud environment, operating collaborative processes in the social network. In operating the social network-based collaborative processes, there occurred heterogeneousness such as schema structure and semantic collision due to queries in the processes and unit conversion between instances. It aimed to solve the occurrence of heterogeneousness in the process of metadata mapping using MOXMDR-DAI+ in the system. The system proposed in this study can visualize business processes. And it makes it easier to operate the collaboration process through mobile support. Real-time status monitoring of the operation process is possible through the dashboard, and it is possible to perform a collaborative process through expert search using a community in a social network environment.

• Journal of the Korean Home Economics Association
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• v.40 no.12
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• pp.13-29
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• 2002

The scholastic consumer education program in Japan was adopted after world war Ⅱ. And so far, based on home economics class at school, the program has undergone seven times modification with “A course of study(learning coaching guide). Now the main objective with the consumer education program, initiated from ‘purchasing skill’ and ‘information offer’, has been shifted to the direction of stressing the ‘reasonable decision making’ and ‘invocation of consumer recognition’. The concrete operation of the scholastic consumer education program in Japan was managed and operated to the direction of urging the student to think independently and self-motivated and provoking the power of thinking, while utilizing daily works closely to routine life as educational materials and subjects. The investigations on Japanese scholastic consumer education program which have been developing and accumulating concrete instances and know-how's of scholastic consumer education program are considered to be still suggestive, and we may conclude it's necessary for both of Korea and Japan to interchange necessary experiences and ideas on this field with each other.

• Journal of Chest Surgery
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• v.16 no.3
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• pp.349-355
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• 1983

Twenty-seven patients with double-outlet right ventricle underwent complete intracardiac repair between 1978 and 1983, June, at Seoul National University Hospital . Although definite aorto-mitral discontinuity was discovered in 20 patients, both great arteries arose wholly or mostly from the right ventricle in all cases. There were 17 cases with subaortic VSD, 6 with subpulmonic, 2 with doubly-committed, and 2 with non-committed VSD. Pulmonary stenosis was present in 21 patients. Intraventricular baffle repair was applied in 23 patients. Three patients required extracardiac conduit to establish continuity between right ventricle and pulmonary artery, and modified Fontan operation was performed in one patient. Over-all mortality rate was 37.0%, but recently 4 of 15 died [26.7%]. One late death occurred from infective endocarditis. Incremental risk factors were small patient size, subpulmonic or non-committed VSD, presence of PS, coronary artery anomalies, associated valvular lesion and other complicated anomalies. However, great artery relationship, restrictive VSD and transannular patch were not risk factors. No instances of complete heart block occurred. Of the survivors, all showed complete or in complete right bundle branch block and in one patient intermittent ventricular tachycardia had developed. The important cause of death was low cardiac output syndrome.

• 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.

• Smart Structures and Systems
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• v.29 no.1
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• pp.207-220
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• 2022

Structural health monitoring (SHM) plays a vital role in the maintenance and operation of constructions. In recent years, autonomous inspection has received considerable attention because conventional monitoring methods are inefficient and expensive to some extent. To develop autonomous inspection, a potential approach of crack identification is needed to locate defects. Therefore, this study exploits two deep learning-based segmentation models, DeepLabv3+ and Mask R-CNN, for crack segmentation because these two segmentation models can outperform other similar models on public datasets. Additionally, impacts of label quality on model performance are explored to obtain an empirical guideline on the preparation of image datasets. The influence of image cropping and label refining are also investigated, and different strategies are applied to the dataset, resulting in six alternated datasets. By conducting experiments with these datasets, the highest mean Intersection-over-Union (mIoU), 75%, is achieved by Mask R-CNN. The rise in the percentage of annotations by image cropping improves model performance while the label refining has opposite effects on the two models. As the label refining results in fewer error annotations of cracks, this modification enhances the performance of DeepLabv3+. Instead, the performance of Mask R-CNN decreases because fragmented annotations may mistake an instance as multiple instances. To sum up, both DeepLabv3+ and Mask R-CNN are capable of crack identification, and an empirical guideline on the data preparation is presented to strengthen identification successfulness via image cropping and label refining.

• International conference on construction engineering and project management
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• 2015.10a
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• pp.328-332
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• 2015

By logging position data from GPS-equipped construction machines, we re-create daily activities as 3D animations to analyze performance and facilitate look-ahead scheduling. The 3D animation enables going back to any point in time and space to observe the activities as they took place. By segmenting data into a set of activities, it is possible to obtain actual measures of performance such as cycle times, production, speed profiles and idle times. The measures of performance can then be compared to those expected (e.g., theoretical speed profiles vs. observed profiles), and instances of significant difference can be flagged for further investigation. Idle times and queues that exceed prescribed thresholds can also be identified. In general, many of the traditional real-time performance analyses can be performed after the fact. Situations of interest can be identified automatically and the events in this manner enhances effective performance improvement in construction. The proposed research is explained and demonstrated using a real push-loaded earthmoving operation.

• International Journal of Computer Science & Network Security
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• v.23 no.10
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• pp.214-224
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• 2023

Fraudulence, cheating, and deception can occur in the commercial real estate (CRE) industry, besides the difficulty in searching for and transferring properties while ensuring the operation is processed through an authoritative source in a trusted manner. Nowadays, real estate transactions use neutral third parties to sell land. Indeed, properties can be sold by the owners or third parties multiple times or without a proper deed. Moreover, third parties request a large amount of money to mediate between the seller and buyer. Methods: We propose a new framework that uses a private blockchain network and predefined BPMN instances to enable the fast and easy recording of deeds and their proprietary transfer management controlled by the government. The blockchain allows for multiple verifications of transactions by permitted parties called peers. It promotes transparency, privacy, trust, and commercial competition. Results: We demonstrated the easy adoption of blockchain for land registration and transfer. The paper presents a prototype of the implemented product that follows the proposed framework. Conclusion: The use of Blockchain-based solutions to resolve the current land registration and transfer issues is promising and will contribute to smart cities and digital governance.