• Nuclear Engineering and Technology
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• v.54 no.10
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• pp.3943-3948
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• 2022

Single-photon emission computed tomography is one of the reliable pin-by-pin verification techniques for spent-fuel assemblies. One of the challenges with this technique is to increase the total fuel assembly verification speed while maintaining high verification accuracy. The aim of the present study, therefore, was to develop an artificial intelligence (AI) algorithm-based tomographic image analysis technique for partial-defect verification of fuel assemblies. With the Monte Carlo (MC) simulation technique, a tomographic image dataset consisting of 511 fuel-rod patterns of a 3 × 3 fuel assembly was generated, and with these images, the VGG16, GoogLeNet, and ResNet models were trained. According to an evaluation of these models for different training dataset sizes, the ResNet model showed 100% pattern estimation accuracy. And, based on the different tomographic image qualities, all of the models showed almost 100% pattern estimation accuracy, even for low-quality images with unrecognizable fuel patterns. This study verified that an AI model can be effectively employed for accurate and fast partial-defect verification of fuel assemblies.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.11
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• pp.1720-1728
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• 2022

The industrial 4.0 era has been opened with the development of artificial intelligence technology, and the realization of smart farms incorporating ICT technology is receiving great attention in the livestock industry. Among them, the quality management technology of livestock products and livestock operations incorporating computer vision-based artificial intelligence technology represent key technologies. However, the insufficient number of livestock image data for artificial intelligence model training and the severely unbalanced ratio of labels for recognizing a specific defective state are major obstacles to the related research and technology development. To overcome these problems, in this study, combining oversampling and adversarial case generation techniques is proposed as a method necessary to effectively utilizing small data labels for successful defect detection. In addition, experiments comparing performance and time cost of the applicable techniques were conducted. Through experiments, we confirm the validity of the proposed methods and draw utilization strategies from the study results.

• Transactions of the Korean Society of Machine Tool Engineers
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• v.15 no.2
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• pp.87-92
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• 2006

This paper supplements shortcoming of radioactivity check by detecting defect of SWP weld zone using ultrasonic wave. Manufacture 2 stage robot detection systems that can follow weld bead of SWP by method to detect weld defects of SWP that shape of weld bead is complex for this as quantitative. Also, through signal processing ultrasonic wave defect signal system of GUI environment that can grasp easily existence availability of defect because do videotex compose. Ultrasonic wave signal of weld defects develops artificial intelligence style sightseeing system to enhance pattern recognition of weld defects and the classification rate using neural net. Classification of weld defects that do fan Planar defect and that do volume defect of by classify.

• Transactions of the Korean Society of Machine Tool Engineers
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• v.15 no.6
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• pp.82-87
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• 2006

Availability of defect test algorithm that recognizes exact and standardized defect information in order to fundamentally resolve generated defects in industrial sites by giving artificial intelligence to SAT(Scanning Acoustic Tomograph), which previously depended on operator's decision, to find various defect information in a semiconductor package, to decide defect pattern, to reduce personal errors and then to standardize the test process was verified. In order to apply the algorithm to the lately emerging Neural Network theory, various weights were used to derive results for performance advancement plans of the defect test algorithm that promises excellent field applicability.

• The Journal of Korean Academy of Prosthodontics
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• v.30 no.3
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• pp.361-378
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• 1992

The purpose of this investigation was to evaluate the effect of the porous hydroxyapatite particles (Interpore $200^{(R)}$) and guided tissue regeneration membrane ($Gore-Tex^{TM}$ augmentation material) on amount and shape of generating new bone adjacent to implant. Implants were placed immediately after extraction in the bilateral 3rd, 4th premolars of the mandible of the adult dogs. In all experimental groups, artificial bony defects were formed at the buccal cortex area, 3.3mm in width and 3.0mm in depth. In the control group : sutured without HA particles & membranes after placing implants, the experimental group 1 : membrane was place over the artificial bony defect, the experimental group 2 : bony defect was filled with HA particles and covered with membrane. The examination of bone-implant interfaces using light microscope and fluorescent microscope concluded as follows. 1. In all three experimental groups, osseointegration was observed without epithelial migration. 2. In the healing degree of bony defect area, the experimental group 1, 2 showed more prominent healing than control group, and the experimental group 1 showed the most excellent bone formation. 3. In fluorescent microscopic finding, bone remodeling was observed in regenerated bone tissue at defect area of experimental group 1, but in experimental group 2, irregular, discontinuous linear fluorescence was observed at the lower portion of defect area and sign of bone remodeling was weak.

• Smart Structures and Systems
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• v.2 no.3
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• pp.253-274
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• 2006

The structural monitoring of multi-wire strands is of importance to prestressed concrete structures and cable-stayed or suspension bridges. This paper addresses the monitoring of strands by ultrasonic guided waves with emphasis on the signal processing and automatic defect classification. The detection of notch-like defects in the strands is based on the reflections of guided waves that are excited and detected by magnetostrictive ultrasonic transducers. The Discrete Wavelet Transform was used to extract damage-sensitive features from the detected signals and to construct a multi-dimensional Damage Index vector. The Damage Index vector was then fed to an Artificial Neural Network to provide the automatic classification of (a) the size of the notch and (b) the location of the notch from the receiving sensor. Following an optimization study of the network, it was determined that five damage-sensitive features provided the best defect classification performance with an overall success rate of 90.8%. It was thus demonstrated that the wavelet-based multidimensional analysis can provide excellent classification performance for notch-type defects in strands.

• Archives of Reconstructive Microsurgery
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• v.18 no.1
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• pp.23-26
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• 2009

Purpose: Artificial dura maters are commonly used in cranioplasty, but sometimes they can result in serious postoperative infection. Once complications such as epidural abscess or chronic draining ulcer arise, they are very difficult to treat. In this case, reclosure of dura defect using artificial dura mater may give rise to recurrence of infection. We experienced a case of intractable epidural abscess caused by use of artificial dura. To avoid repeated infection, we decided to use autologous tissue for the coverage of dura and soft tissue defect. Therefore, autologous tensor fascia lata graft and anterolateral thigh free flap were harvested at the same donor site incision to cover composite defect on the scalp and dura mater. Methods: A 13 year old male patient, who underwent the decompression cranioplasty and duroplasty, suffered from the intractable infection lesion. Twice, the epidural abscess was removed, both times the infection recurred. And eventually dura mater was exposed through the infected open wound. Nine months after dura exposed, infected aritificial dura mater was removed and extensive debridement was performed. Through a surgical incision on donor thigh, first, tensor fascia lata graft was harvested in process of the anterolateral thigh flap elevation. After the fascia lata graft was fixed over the dural defect, the anterolateral thigh flap was used to fill the dead space as well as the scalp defect. Results: Postoperatively, no recurrent infection and cerebrospinal fluid leakage are observed for a year. After the surgery, on the first and second day, venous congestion of the flap was observed, this problem was solved by thrombectomy and vein reanastomosis. And partial necrosis of flap occurred, but completely healed as conservative treatment for two weeks. Conclusion: Using the autologous tensor fascia lata graft and anterolateral thigh flap, we could obtain satisfactory results as treatment for the intractable infection lesion after duroplasty. Autologous tensor fascia lata in conjunction with anterolateral thigh flap is useful method for covering composite defect of scalp and dura mater.

• Journal of Korean Neurosurgical Society
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• v.30 no.sup2
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• pp.216-220
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• 2001

Objective : Cranioplasty is required to protect underlying brain, to correct major aesthetic deformities, or both. The ideal material for this purpose is autogenous bone. When this is not available, alloplastic or artificial materials may be used. In this study authors compared the infection rate according to the cranioplasty materials(the frozen autologous bone vs. bone cement), and duration of the skull defect. Materials : Between May 1994 and December 1999, 111 patients with skull defect treated with cranioplasty(82 cases of frozen autologous bone and 29 cases of artificial bone material) were included in this study. There were 77 males and 34 females with a mean age of 41.4 years(range 1-85 years). 57 patients had head trauma and 54 had non-traumatic insults. According to the duration of skull defect, there were 28 cases under 1 month, 33 cases of 1-2 months, 15 cases of 2-3 months, 20 cases of 3-6 months and 15 cases over 6 months of duration. Results : Overall infection rate was 9.9%. In cases with frozen autologous bone and artificial bone material, the infection rate was 8.5% and 13.7%, respectively. The infection rate according to the duration of skull defect was 3.6%(among 28 cases) under 1 month of age, while those were 12%(4 among 33 cases) at 1-2 months, 20%(3 among 15 cases) at 2-3 months, 5%(1 among 20 cases) at 3-6 months and 13%(2 among 15 cases) over 6 months. Accoring to the underlying disease, the infection rate in traumatic cases was 12%(7 among 57 cases) and that in non-traumatic one was 3.7%(2 among 54 cases). Conclusion : From this study, it appears that skull defect should be repaired as soon as possible, because early cranioplasty can lower the infection rate. And surgeons could save the patients' cranial bone as possible as they can because autologous bone is not only cost effective in cosmatic purpose but lower the infection rate.

• Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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• 2009.06a
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• pp.397-398
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• 2009

In oder to investigate of partial discharge of nano-composites materials, we have studied partial discharge appling voltage from 5 to 30 [kV] to make an artificial defect with the epoxy adding to 0, 0.4, 0.8, and 1.6 [wt%], respectively. The experimental result, we have found that $SiO_2$ of 0.4 (wt%] was superior to others also, it is found that the effect of isolate diagnosis to get the slope for the discharged electric charge distribution.

• Clinical and Experimental Reproductive Medicine
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• v.41 no.3
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• pp.137-139
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• 2014

The effect of artificial oocyte activation (AOA) with a calcium ionophore on intracytoplasmic morphologically selected sperm injection (IMSI) was examined in patients with histories of repeated failed implantation attempts. Four singleton pregnancies and one twin pregnancy were obtained after embryos transfer (5/14, 35.7%). Therefore, AOA combined with IMSI can be considered an option for cycles with a fertilization defect and recurrent implantation failures.