• Korean Journal of Computational Design and Engineering
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• v.16 no.3
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• pp.216-226
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• 2011

Surgeon dentists usually rely on their experiential judgments from patients' oral plaster casts and medical images to determine the positional and directional information of implant fixtures and to perform drilling tasks during dental implant surgical operations. This approach, however, may cause some errors and deteriorate the quality of dental implants. Computer-aided methods have been introduced as supportive tools to alleviate the shortcomings of the conventional approach. In this paper, we present an approach of 3D dental implant simulation which can provide the realistic and immersive experience of dental implant information. The dental implant information is primarily composed of several kinds of 3D mesh models obtained as follows. Firstly, we construct 3D mesh models of jawbones, teeth and nerve curves from the patient's dental images using software $Mimics^{TM}$. Secondly, we construct 3D mesh models of gingival regions from the patient's oral impression using a reverse engineering technique. Thirdly, we select suitable types of implant fixtures from fixture database and determine the positions and directions of the fixtures by using the 3D mesh models and the dental images with software $Simplant^{TM}$. Fourthly, from the geometric and/or directional information of the jawbones, the gingival regions, the teeth and the fixtures, we construct the 3D models of surgical guide stents which are crucial to perform the drilling operations with ease and accuracy. In the application phase, the dental implant information is combined with the tangible interface device to accomplish 3D dental implant simulation. The user can see and touch the 3D models related with dental implant surgery. Furthermore, the user can experience drilling paths to make holes where fixtures are implanted. A preliminary user study shows that the presented approach can be used to provide dental students with good educational contents. With future work, we expect that it can be utilized for clinical studies of dental implant surgery.

• The Journal of Korean Academy of Prosthodontics
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• v.30 no.4
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• pp.611-621
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• 1992

The Present study was performed to evaluate the stress distribution patterns of bone tissues around two Branemark implant fixtures with varying lengths. Six models were used with the combination of 10mm, 7mm, 5mm Branemark implant fixture analogs. The load distribution characteristics of surrounding bone tissues were observed under 64kg vertical static loading on central part of fixed bridge using 2 dimensional photoelastic technique. Through observing the pattern of stress distribution around the implant fixtures, I got the results as follow : 1. Stress distribution pattern of model I(10mm, 10mm) was best among those of six models. 2. When two fixtures were in equal length, stress was increased in proportion to the reduction of implant surface area. 3. When two fixtures were in unequal length, stress was concentrated on the neck portion of the shorter one.

• Imaging Science in Dentistry
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• v.52 no.2
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• pp.219-224
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• 2022

Purpose: This study aimed to evaluate the performance of transfer learning in a deep convolutional neural network for classifying implant fixtures. Materials and Methods: Periapical radiographs of implant fixtures obtained using the Superline (Dentium Co. Ltd., Seoul, Korea), TS III(Osstem Implant Co. Ltd., Seoul, Korea), and Bone Level Implant(Institut Straumann AG, Basel, Switzerland) systems were selected from patients who underwent dental implant treatment. All 355 implant fixtures comprised the total dataset and were annotated with the name of the system. The total dataset was split into a training dataset and a test dataset at a ratio of 8 to 2, respectively. YOLOv3 (You Only Look Once version 3, available at https://pjreddie.com/darknet/yolo/), a deep convolutional neural network that has been pretrained with a large image dataset of objects, was used to train the model to classify fixtures in periapical images, in a process called transfer learning. This network was trained with the training dataset for 100, 200, and 300 epochs. Using the test dataset, the performance of the network was evaluated in terms of sensitivity, specificity, and accuracy. Results: When YOLOv3 was trained for 200 epochs, the sensitivity, specificity, accuracy, and confidence score were the highest for all systems, with overall results of 94.4%, 97.9%, 96.7%, and 0.75, respectively. The network showed the best performance in classifying Bone Level Implant fixtures, with 100.0% sensitivity, specificity, and accuracy. Conclusion: Through transfer learning, high performance could be achieved with YOLOv3, even using a small amount of data.

• ETRI Journal
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• v.32 no.6
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• pp.969-971
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• 2010

Based on a de-embedding technique, a new method is proposed which is capable of evaluating chip impedance behavior over absorbed power in flip-chip bonded UHF radio frequency identification transponder ICs. For the de-embedding, four compact co-planar test fixtures, an equivalent circuit for the fixtures, and a parameter extraction procedure for the circuit are developed. The fixtures are designed such that the chip can absorb as much power as possible from a power source without radiating appreciable power. Experimental results show that the proposed modeling method is accurate and produces reliable chip impedance values related with absorbed power.

• Transactions on Control, Automation and Systems Engineering
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• v.2 no.1
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• pp.62-68
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• 2000

Fixtures are used in almost all phases of machining and assembly to position and hold a part accurately. The class of fixture which consists of 3 locators and 1 clamp(3L/1C) is known as the minimal set that can provide form closure which is a kinematic constraint condition for preventing all planar motions. This type of fixtures has advantages in terms of the number of fixture elements required, the time for clamping, and so on. However it is not widely used in industry because reliable loading scheme has not been reported. In this paper, we propose a method to load the class of 3L/1C fixtures using compliant motions. The planner is developed for synthesizing compliant motions to achieve precise final fixture configuration in the presence of sensing and control uncertainties. A novel approach to eliminate uncertainty in part orientation by adding one extra fixture element called an aligning pin is proposed.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2005.06a
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• pp.714-717
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• 2005

The concept of jigs and fixtures makes it possible to build fixtures that can be dismantled at project completion. Since this concept is modular, it is not limited to any particular unit shapes or sizes. Various standards assure that each component assemble rapidly, to get precision and accuracy. Best suited for prototype and low volume production, as well as, start-up or zero-runs, it can also substitute for damaged dedicated fixtures to minimize down-time. It need to do DB for each part by Pro/Engineer and to assemble before manufacturing. In the future will assemble each of clamping and position parts by automation.

• Proceedings of the KIEE Conference
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• 2009.07a
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• pp.1962_1963
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• 2009

DMX-512 protocol is a lighting protocol which can control the various lighting fixtures by linking as networks. Recently many lighting fixtures corresponding to DMX-512 have been manufactured. The software which makes LED Control of lighting fixtures easy and simple, is proposed in this paper. The complicated interface and production method were improved and each mode was divided for simple production and reducing confusion of operator. The producing effects were confirmed by simulation results.

• Transactions of the Korean Society for Noise and Vibration Engineering
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• v.17 no.4 s.121
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• pp.350-355
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• 2007

Accelerometer mounting fixtures were prepared with the different materials(Ti and SUS). The dynamic characteristics of the mounting fixture were analyzed by finite element method(FEM), and the mode shape of each order and the displacement response for modelling the mounting fixture were analyzed by ANSYS, then resonant frequencies of the mounting fixtures with Ti and SUS were 22.700 and 23.390 kHz, respectively. The dynamic characteristics of the mounting fixture with the different positions were obtained by using laser interferometer. The response of the accelerometer was nearly a constant from 40 Hz to 500 Hz, but the change of the acceleration was increased with an increase of the frequency above 500 Hz.

• Journal of Applied Reliability
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• v.10 no.1
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• pp.11-24
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• 2010

Lighting industry is rapidly being developed as the ubiquitous society based on sensor network emerges. This kind of paradigm shift brings the society convergence of technologies which leads to smart lighting system as well as the integration of interior and sensibility control. However, standards for sensors have not been firmly established, and problems related to quality and malfunction have been brought up, thereby calling for careful approach to the enhancement and assessment of reliability of the item. In this article reliability assessment criteria for sensor module for lighting fixtures is established in terms of performance assessment criterion and reliability assessment criterion.

• Proceedings of the Korea Contents Association Conference
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• 2005.05a
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• pp.289-294
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• 2005

The international lighting market's growth about technologies and Methodologies to develop the products. but, domestic lighting fixtures are doing to price competition. Wish to accomplish process establishment for the effective Method to develop about the lighting technology and the new product design, through the development of PLS lighting technology and designs of 300W class lighting fixtures.