• Journal of the Semiconductor & Display Technology
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• v.19 no.2
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• pp.100-104
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• 2020

Over the past several years, deep learning has been widely used for feature extraction in image and video for various applications such as object classification and facial recognition. This paper introduces an implantation of embedded Linux system for embossed digits recognition using CNN based deep learning methods. For this purpose, we implemented a coin recognition system based on deep learning with the Keras open source library on Raspberry PI. The performance evaluation has been made with the success rate of coin classification using the images captured with ultra-wide angle camera on Raspberry PI. The simulation result shows 98% of the success rate on average.

• Journal of the Korea Institute of Military Science and Technology
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• v.16 no.6
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• pp.819-827
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• 2013

Compared to legacy frequency hopping communications, future radio communications are required the secure and high data rate, ad-hoc network communication. In this paper, we have designed the network communication structure on the frequency hopping mode, and analyzed the performance of synchronization on the frequency hopping network radio systems. The design results are shown the initial sync. phase of approximately 9 hops and the traffic packet phase of approximately 30 hops. Also, we have simulated the performance on the communication conditions which are carrier bandwidth of 50kHz, user data rate of 64kbps and OQPSK modulation scheme in AWGN. In the simulation, we analyzed the correlation and the performance of synchronization success. The result of simulation show 99% probability for synchronization success at $E_b/N_o$ -4dB.

• Clinical Endoscopy
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• v.56 no.2
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• pp.135-142
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• 2023

Endoscopic biliary drainage strategies for managing unresectable malignant hilar biliary obstruction differ in terms of stent type, drainage area, and deployment method. However, the optimal endoscopic drainage strategy remains unclear. Uncovered self-expandable metal stents (SEMS) are the preferred type because of their higher functional success rate, longer time to recurrent biliary obstruction (RBO), and fewer cases of reintervention than plastic stents (PS). Other PS subtypes and covered SEMS, which feature a longer time to RBO than PS, can be removed during reintervention for RBO. Bilateral SEMS placement is associated with a longer time to RBO and a longer survival time than unilateral SEMS placement. Unilateral drainage is acceptable if a drainage volume of greater than 50% of the total liver volume can be achieved. In terms of deployment method, no differences were observed in clinical outcomes between side-by-side (SBS) and stent-in-stent deployment. Simultaneous SBS boasts a shorter procedure time and higher technical success rate than sequential SBS. This review of previous studies aimed to clarify the optimal endoscopic biliary drainage strategy for unresectable malignant hilar biliary obstruction.

• Journal of The Korean Ophthalmological Society
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• v.59 no.11
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• pp.1001-1008
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• 2018

Purpose: To compare the success rates between silicone tube intubation using a lacrimal endoscope and using a conventional nasal endoscope alone in adult patients suffering from epiphora. Methods: We conducted a retrospective chart review of 80 eyes of 55 patients who underwent silicone tube intubation from January 2014 to June 2017. Patients were preoperatively diagnosed with syringing and dacryocystography. The silicone tube was removed 3 months after surgery and success rates were evaluated at 4 and 12 months. Success rates were analyzed by dividing the patients into two groups, according to lacrimal endoscope use. Results: A lacrimal endoscope was used in 40 eyes. In the group using a lacrimal endoscope, preoperative diagnoses were partial obstruction in 26 eyes and complete obstruction in 14 eyes. In the group without lacrimal endoscope use, preoperative diagnoses were partial obstruction in 35 eyes and complete obstruction in 5 eyes (p = 0.018). The success rates at 4 and 12 months after surgery in the two groups (with and without lacrimal endoscope use) were 87.5% and 80.0% and 72.0% and 62.1% (p = 0.546 and p = 0.565), respectively. The success rates of patients with partial obstruction in the two groups were 92.3% and 82.9% at 4 months and 71.4% and 69.2% at 12 months (p = 0.448 and p = 1.000), respectively. The success rates of patients with complete obstruction in the two groups were 78.6% and 60.0% at 4 months and 72.7% and 33.3% at 12 months (p = 0.570 and p = 0.505), respectively. Site differences, the degree of obstruction, and lacrimal endoscope use had a significant impact on the success rate at 4 and 12 months (p = 0.001 and p = 0.022, respectively). Conclusions: Although silicone tube intubation using a lacrimal endoscope cannot guarantee a significant success rate, it is possible to observe the anatomical structure of the nasolacrimal pathway in real time, such that the appropriate diagnosis and treatment can be performed simultaneously. Because patients diagnosed as having a complete obstruction had a good success rate, we can extend indication of silicone tube intubation as a less invasive approach.

• Childhood Kidney Diseases
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• v.11 no.1
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• pp.59-64
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• 2007

Purpose : Suprapubic aspiration(SPA) has been considered the "gold standard" for obtaining urine in non-toilet trained infants. Ultrasound(US)-guided SPA improves the success rate of the procedure and reduces the complications. However, many physicians perceive SPA as invasive and prefer the use of urethral catheterization (Ucat). We compared the success rate, complications and accuracy of US-guided SPA and Ucat. Methods : 121 infants who visited Ewha Womans University Mokdong Hospital with suspected urinary tract infection(UTI) were investigated. For the first study, the study infants were randomly assigned to either the US-guided SPA(n=32) or Ucat(n=32) groups. The success rate and complications of both procedures were compared. For the second study, US-guided SPA and Ucat were performed simultaneously(n=57). The accuracy of urethral catheterization was subsequently analyzed. The criteria for success was defined as the collection of more than 0.5 mL of urine. UTI was diagnosed by the presence of uropathogens over 105 colony-forming units (CFU)/mL. Results : The overall success rate of the US-guided SPA was 96.9%(71.9% in first attempts, 25.0% in second attempts) which was not significantly different compared to 96.9%(90.6% in first attempts, 6.3% in second attempts) in the Ucat(P>0.05) group. The aspirated urine volume was $7.4{\pm}3.7mL$ in the US-guided SPA group, which was not significantly different to $4.5{\pm}2.6mL$ in the Ucat(P>0.05) group. The accuracy of Ucat in comparison to the US guided SPA was low with sensitivity 59.5%, specificity 86.6%, false-positive rate 13.3% and false-negative rate 40.5%. Conclusion : US-guided SPA should be encouraged as the best method to collect the urine in non-toilet trained infants with UTI.

• Culinary science and hospitality research
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• v.11 no.4 s.27
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• pp.134-149
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• 2005

First, generally the more business employ the financial and non financial outcome analysis for evaluation process, the higher the success rate of new product development becomes in the domestic restaurant market. Second, the study shows that the financial outcome tends to be considered more than non financial outcome on deciding success of the new product development. Third, it is indicated that although detailed plans have a large impact on the outcome of new product development, communication between departments within a company is not a considerably important factor for deciding success of the new product. Fourth, 'market environment' has significant influence on deciding adoption level of financial and non financial outcome analysis, organizational resources and culture.

• The Journal of Korea Robotics Society
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• v.15 no.4
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• pp.398-403
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• 2020

Robot's throwing control is difficult to accurately calculate because of air resistance and rotational inertia, etc. This complexity can be solved by using machine learning. Reinforcement learning using reward function puts limit on adapting to new environment for robots. Therefore, this paper applied deep reinforcement learning using neural network without reward function. Throwing is evaluated as a success or failure. AI network learns by taking the target position and control policy as input and yielding the evaluation as output. Then, the task is carried out by predicting the success probability according to the target location and control policy and searching the policy with the highest probability. Repeating this task can result in performance improvements as data accumulates. And this model can even predict tasks that were not previously attempted which means it is an universally applicable learning model for any new environment. According to the data results from 520 experiments, this learning model guarantees 75% success rate.

• The Journal of Society for e-Business Studies
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• v.14 no.4
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• pp.35-45
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• 2009

Domestic ASP (Application Service Provider) market has been dramatically enlarged under government supports for last 10 years. However ASP industry recently has been troubled for poor performance and market saturation. In this paper, firstly I derive core service groups through using BCG matrix for ASP market size and growth rate and secondly generate major critical success factors using focused group interview for selected core service groups. Finally I would like to propose a direction of ASP industry revitalization based on above critical success factors and transition strategy to SaaS (Software as a Service).

• Journal of Information Technology Services
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• v.6 no.3
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• pp.251-272
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• 2007

Although Enterprise Systems (ES) have promised major strategic benefits and process improvements from business and technology integration, their implementation has been plagued by a high failure rate and difficulty in realizing the promised benefits. For the purpose of understanding implementation failures, previous studies have focused on identifying critical success factors (CSFs) for information systems implementation. However, there has been little research on how these CSFs actually lead to successful results. In this study, based on process theory, we examined the process of ES implementation by explaining how the factors of ES implementation influence each other and how interaction among them produces results. Based on a failure case, we then developed a process model of ES implementation thus allowing us to explain the process of ES implementation. The proposed model facilitated an understanding of how repeating patterns of ES failure can be reversed. This model can be used for guiding new ES implementation projects.

• Journal of Multimedia Information System
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• v.9 no.2
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• pp.103-112
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• 2022

Background: A presentation attack places the printed image or displayed video at the front of the sensor to deceive the biometric recognition system. Usually, presentation attackers steal a genuine user's biometric image and use it for presentation attack. In recent years, reconstruction attack and adversarial attack can generate high-quality fake images, and have high attack success rates. However, their attack rates degrade remarkably after image shooting. Methods: In order to comprehensively analyze the threat of presentation attack to palmprint recognition system, this paper makes six palmprint presentation attack datasets. The datasets were tested on texture coding-based recognition methods and deep learning-based recognition methods. Results and conclusion: The experimental results show that the presentation attack caused by the leakage of the original image has a high success rate and a great threat; while the success rates of reconstruction attack and adversarial attack decrease significantly.