• Journal of Internet Computing and Services
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• v.22 no.2
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• pp.77-87
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• 2021

With the development of the Internet and personal computers, various and complex attacks begin to emerge. As the attacks become more complex, signature-based detection become difficult. It leads to the research on behavior-based log anomaly detection. Recent work utilizes deep learning to learn the order and it shows good performance. Despite its good performance, it does not provide any explanation for prediction. The lack of explanation can occur difficulty of finding contamination of data or the vulnerability of the model itself. As a result, the users lose their reliability of the model. To address this problem, this work proposes an explainable log anomaly detection system. In this study, log parsing is the first to proceed. Afterward, sequential rules are extracted by Bayesian posterior probability. As a result, the "If condition then results, post-probability" type rule set is extracted. If the sample is matched to the ruleset, it is normal, otherwise, it is an anomaly. We utilize HDFS datasets for the experiment, resulting in F1score 92.7% in test dataset.

• Journal of Science Education
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• v.47 no.2
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• pp.211-224
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• 2023

The purpose of this study is to suggest how to investigate the reliability of the assessment, which consists of items generated by automatic item generation using empirical example data. To achieve this, we analyzed the illustrative assessment data by applying the multivariate generalizability theory, which can reflect the design of responding to different items for each student and multiple error sources in the assessment score. The result of the G-study showed that, in most designs, the student effect corresponding to the true score of the classical test theory was relatively large after residual effects. In addition, in the design where the content domain was fixed, the ranking of students did not change depending on the item types or items. Similarly, in the design where the item format was fixed, the difficulty showed little variation depending on the content domains. The result of the D-study indicated that the original assessment data achieved a sufficient level of reliability. It was also found that higher reliability than the original assessment data could be obtained by reducing the number of items in the content domains of operation, geometry, and probability and statistics, or by assigning higher weights to the domains of letters and formulas, and function. The efficient measurement conditions presented in this study are limited to the illustrative assessment data. However, the method applied in this study can be utilized to determine the reliability and to find efficient measurement conditions for the various assessment situations using automatic item generation based on measurement traits.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.34 no.4
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• pp.577-586
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• 2024

As new technologies are developed, new security threats such as the emergence of AI technologies that create ransomware are also increasing. New security equipment such as XDR has been developed to cope with these security threats, but when using various security equipment together rather than a single security equipment environment, there is a difficulty in creating numerous regular expressions for identifying and classifying essential data. To solve this problem, this paper proposes a method of identifying essential information for identifying threat information by introducing artificial intelligence-based entity name recognition technology in various security equipment usage environments. After analyzing the security equipment log data to select essential information, the storage format of information and the tag list for utilizing artificial intelligence were defined, and the method of identifying and extracting essential data is proposed through entity name recognition technology using artificial intelligence. As a result of various security equipment log data and 23 tag-based entity name recognition tests, the weight average of f1-score for each tag is 0.44 for Bi-LSTM-CRF and 0.99 for BERT-CRF. In the future, we plan to study the process of integrating the regular expression-based threat information identification and extraction method and artificial intelligence-based threat information and apply the process based on new data.

• Archives of Plastic Surgery
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• v.43 no.3
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• pp.254-257
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• 2016

Background The postoperative speech outcomes of submucous cleft palate (SMCP) surgery are known to be poorer than those of other types of cleft palate. We attempted to objectively characterize the postoperative complications and speech outcomes of the surgical treatment of SMCP through a comparison with the outcomes of incomplete cleft palate (ICP). Methods This study included 53 SMCP patients and 285 ICP patients who underwent surgical repair from 1998 to 2015. The average age of the patients at the time of surgery was $3.9{\pm}1.9years$ for the SMCP patients and $1.3{\pm}0.9years$ for the ICP patients. A retrospective analysis was performed of the complications, the frequency of subsequent surgical correction for velopharyngeal dysfunction (VPD), and speech outcomes. Results In both the SMCP and ICP patients, no cases of respiratory difficulty, bleeding, or wound disruption were noted. Delayed wound healing and fistula occurred in 18.9% and 5.7% of the SMCP patients and in 14% and 3.2% of the ICP patients, respectively. However, no statistically significant difference in either delayed wound healing or fistula occurrence was observed between the two groups. The rate of surgical correction for VPD in the SMCP group was higher than in the ICP group. In the subset of 26 SMCP patients and 62 ICP patients who underwent speech evaluation, the median speech score value was 58.8 in the SMCP group and 66 in the ICP group, which was a statistically significant difference. Conclusions SMCP and ICP were found to have similar complication rates, but SMCP had significantly worse speech outcomes.

• Journal of Korean Academy of Fundamentals of Nursing
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• v.6 no.2
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• pp.198-210
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• 1999

This study is to investigate sleep patterns of rheumatoid arthritis patients through a survey research. The subjects for this study were 97 patients registered in Hanyang University Hospital Rheumatoid Arthritis Center, and the period of data collection was from July 15, 1998 to August 30, 1998. The research instruments used in this study were the measures of sleep, pain, and fatigue, and SPSSWIN 8.0 Program was used for data analysis. The research results are as follows ; The patients went to bed between 11 and 12 p.m., but many of them found difficulty in falling asleep within 5 minutes. They woke up quite early at around 4 to 6 o'clock in the morning and remained in bed about 1 hour. Only 39 percent of the subjects reported satisfaction with their sleep. Fifty six percent of the subjects took a nap, generally did in the afternoon and 22.7 percent of them napped for half an hour. They suffered sleep disturbance, but their sleep environments were calm and comfortable, and they turn off the light when they went to sleep. As for the quality of sleep, over 50 percent of the subjects reported not being able to sleep deeply, 30 percent of the subjects woke up frequently during sleep, 60 percent experienced frequent arousal after sleep onset. Over 90 subjects slept for 6 to 8 hours. This shows that even though they had rheumatoid arthritis, the patients remained in bed for a sufficient period of time. They also reported waking up or turning frequently during sleep. The sense of fatigue from sleep disturbance scored a relatively high 35.84 points on average against the possible score of 64 points. Behavior for sleep promotion was very active. Sleep disturbance occurred in proportion to the sense of fatigue and pain, and was negatively correlated with quality of sleep. The pain had positive correlations with the illness duration, sleep disturbance and had a negative correlation with the quality of sleep.

• Clinical and Experimental Pediatrics
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• v.62 no.10
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• pp.386-394
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• 2019

Background: Preterm infants have difficulty maintaining body temperature after birth. However, clinical guidelines advocate that neonatal body temperature should be maintained at 36.5℃-37.5℃. Purpose: We aimed to investigate the incidence of admission hypothermia in very low birth weight (VLBW) infants and to determine the association of admission temperature with in-hospital mortality and morbidities. Methods: A cohort study using prospectively collected data involving 70 neonatal intensive care units (NICUs) that participate in the Korean Neonatal Network. From registered infants born between January 2013 and December 2015, 5,343 VLBW infants born at less than 33 weeks of gestation were reviewed. Results: The mean admission temperature was 36.1℃±0.6℃, with a range of 31.9℃ to 38.4℃. Approximately 74.1% of infants had an admission hypothermia of <36.5℃. Lower birth weight, intubation in the delivery room and Apgar score <7 at 5 minutes were significantly related to admission hypothermia. The mortality was the lowest at 36.5℃-37.5℃ and adjusted odd ratios for all deaths increased to 1.38 (95% confidence interval [CI], 1.04-1.83), 1.44 (95% CI, 1.05-1.97) and 1.86 (95% CI, 1.22-2.82) for infants with admission temperatures of 36.0℃-36.4℃, 35.0℃-35.9℃, and <35.0℃, respectively. Admission hypothermia was also associated with high likelihoods of bronchopulmonary dysplasia, pulmonary hypertension, proven sepsis, pulmonary hemorrhage, air-leak, seizure, grade 3 or higher intraventricular hemorrhage and advanced retinopathy of prematurity requiring laser therapy. Conclusion: A large portion of preterm infants in Korea had hypothermia at NICU admission, which was associated with high mortality and several important morbidities. More aggressive interventions aimed at reducing hypothermia are required in this high-risk population.

• Asian Pacific Journal of Cancer Prevention
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• v.17 no.5
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• pp.2475-2478
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• 2016

Background: Laparoscopic partial nephrectomy is one of the major surgical techniques for small renal masses. However, it is difficult to manage cutting and suturing procedures within acceptable time periods. To overcome this difficulty, we applied a three-dimensional (3D) video system with laparoscopic partial nephrectomy, and evaluated its utility. Materials and Methods: We retrospectively enrolled 31 patients who underwent laparoscopic partial nephrectomy between November 2009 and June 2014. A conventional two-dimensional (2D) video system was used in 20 patients, and a 3D video system in 11. Patient characteristics and video system type (2D or 3D) were recorded, and correlations with perioperative outcomes were analyzed. Results: Mean age of the patients was $55.8{\pm}12.4$, mean body mass index was $25.7{\pm}3.9kg/m^2$, mean tumor size was $2.0{\pm}0.8cm$, mean R.E.N.A.L nephrometry score was $6.9{\pm}1.9$, and clinical stage was T1a in all patients. There were no significant differences in operative time (p=0.348), pneumoperitoneum time (p=0.322), cutting time (p=0.493), estimated blood loss (p=0.335), and Clavien grade of >II complication rate (p=0.719) between the two groups. However, warm ischemic time was significantly shorter in the 3D group than the 2D group (16.1 min vs. 21.2min, p=0.021), which resulted from short suturing time (9.1 min vs. 15.2 min, p=0.008). No open conversion occurred in either group. Conclusions: A 3D video system allows the shortening of warm ischemic time in laparoscopic partial nephrectomy and thus may be useful in improving the procedure.

• Journal of Korean Foot and Ankle Society
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• v.10 no.1
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• pp.60-65
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• 2006

Purpose: This study was performed to evaluate clinical and radiographical results of treatment of chronic lateral ankle instability with modified Brostrom procedure. Materials and Methods: This is a retrospective study of 22 cases in 22 patients treated with modified $Brostr{\ddot{o}}m$ procedure under the diagnosis of chronic lateral ankle instability from May 2000 to August 2004. Average age was 32.3 years. Average follow-up period was 23 months. Preoperative and postoperative radiographs of ankle anteroposterior view, lateral view and varus stress view were analyzed. The clinical evaluation was performed according to the Americal Orthopaedic Foot and Ankle Society scales. Results: After the modified $Brostr{\ddot{o}}m$ procedure, Americal Orthopaedic Foot and Ankle Society scales score was improved by average 28 points. Among the 22 cases, 13 cases were excellent, 3 cases good, 4 cases fair, and 2 cases poor with satisfaction of 73%. Five cases had intermittent ankle pain of whom 3 cases had difficulty during competitive sports activity. Lateral tilting of talus improved by average 5.4 degrees on varus stress view. Conclusions: The modified $Brostr{\ddot{o}}m$ procedure is one of the most effective methods for treating of chronic lateral ankle instability.

• Physical Therapy Korea
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• v.19 no.3
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• pp.124-131
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• 2012

Most conventional instruments measuring disability rely on total score by simply adding individual item responses, which is dependent on the items chosen to represent the underlying construct (test-dependent) and a test statistic, such as coefficient alpha for the estimate of reliability, varying from sample to sample (sample-dependent). By contrast, item response theory (IRT) method focuses on the psychometric properties of the test items instead of the instrument as a whole. By estimating probability that a respondent will select a particular rating for an item, item difficulty and person ability (or disability) can be placed on same linear continuum. These estimates are invariant regardless of the item used (test-free measurement) and the ability of sample applied (sample-free measurement). These advantages of IRT allow the creation of invariantly calibrated large item banks that precisely discriminate the disability levels of individuals. Computer adaptive testing (CAT) method often requiring a testing algorithm promise a means for administering items in a way that is both efficient and precise. This method permits selectively administering items that are closely matched to the ability level of individuals (measurement precision) and measuring the ability without the loss of precision provided by the full item bank (measurement efficiency). These measurement properties can reasonably be achieved using IRT and CAT method. This article aims to investigate comprehensive overview of the existing disability instrument for back pain and to inform physical therapists of an alternative innovative way overcoming the shortcomings of conventional disability instruments. An understanding of IRT and CAT method will equip physical therapist with skills in interpreting the measurement properties of disability instruments developed using the methods.

• Journal of Dental Anesthesia and Pain Medicine
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• v.19 no.6
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• pp.379-388
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• 2019

Background: In dentistry, pain is a factor that negatively affects treatments and drug use. The aim of this study was to evaluate the correlations of the postoperative analgesic use with pain catastrophizing and anxiety in patients who underwent removal of an impacted mandibular third molar. Methods: We recruited 92 patients who underwent the extraction of impacted mandibular third molar. In this study, the Pederson index was used to preoperatively determine the difficulty of surgical extraction. Patients were asked to note the number of analgesics used for 7 postoperative days. Patients were divided into two groups based on the Pain Catastrophizing Scale: low and high score groups. State-Trait Anxiety Inventory-trait and State-Trait Anxiety Inventory-state questionnaires were used to determine the anxiety levels of the patients. The obtained data were examined to evaluate the correlations of pain catastrophizing and anxiety with the postoperative analgesic use. Results: In this study, 92 patients, including 60 women and 32 men, were recruited. The analgesic use was higher in women than in men but with no significant difference (P > 0.05). Pain Catastrophizing Scale scores were higher in women than in men but with no significant difference (P > 0.05). The analgesic use was higher in patients with high pain catastrophizing than in those with low pain catastrophizing but with no significant difference (P > 0.05). State-Trait Anxiety Inventory-trait scores were higher in women than in men but with no significant difference. However, state-Trait Anxiety Inventory-state scores were significantly higher in women than in men (P < 0.05). Conclusion: The postoperative analgesic use may be higher in patients who catastrophize pain than in others. Knowing the patient's catastrophic characteristics preoperatively would contribute to successful pain management and appropriate drug selection.