• Korean Journal of Child Studies
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• v.23 no.4
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• pp.1-20
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• 2002

The subjects of this study of the development of concepts of pretense and of false beliefs were 168 3-, 4-, 5-, and 6-year-olds. There were 2 significant main effects for age and type of task both for pretend and false belief tasks. The older children performed pretend tasks and false belief tasks at a higher level than the younger children. Performance on pretend tasks was higher with alternatives than without them. On false belief tasks, there were differences in performance among the change of location, the change of content and the second order false belief tasks. Correlations between understanding of pretense and false beliefs were relatively high. These results suggest that the relationship between children's understanding of pretense and false belief varied by types of tasks.

• Proceedings of the KSRS Conference
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• 2004.10a
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• pp.716-718
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• 2004

The false alarm data in intrusion detection systems are divided into false positive and false negative. The false positive makes bad effects on the performance of intrusion detection system. And the false negative makes bad effects on the efficiency of intrusion detection system. Recently, the most of works have been studied the data mining technique for analysis of alert data. However, the false alarm data not only increase data volume but also change patterns of alert data along the time line. Therefore, we need a tool that can analyze patterns that change characteristics when we look for new patterns. In this paper, we focus on the false positives and present a framework for analysis of false alarm pattern from the alert data. In this work, we also apply incremental data mining techniques to analyze patterns of false alarms among alert data that are incremental over the time. Finally, we achieved flexibility by using dynamic support threshold, because the volume of alert data as well as included false alarms increases irregular.

• The KIPS Transactions:PartC
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• v.13C no.3 s.106
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• pp.295-302
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• 2006

An intrusion detection system writes a lot of alarms against attack behaviors in real time. These alarms contain not only actual attack alarms, but also false alarms that are mistakes made by the intrusion detection system. False alarms are the main reason that reduces the efficiency of the intrusion detection system, and we propose framework for false alarms analysis in the paper. Also, we apply an incremental data mining method for pattern analysis of false alarms increasing continuously. The framework consists of GUI, DB Manager, Alert Preprocessor, and False Alarm Analyzer. We analyze the false alarms increasingly through the experiment of the proposed framework and show that false alarms are reduced by applying the analyzed false alarm rules in the intrusion detection system.

• Proceedings of the Korea Information Processing Society Conference
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• 2003.05c
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• pp.1997-2000
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• 2003

False Positive Alert 은 IDS 가 공격이 아닌 것을 공격으로 잘못 판단하는 것이다 이러한 false Positive 는 시스템에 직접적인 피해를 주지는 않으나, 시스템 관리자가 적절한 대처를 하기 어렵게 하므로 IDS의 새로운 문제점으로 대두되고 있다. 본 논문에서는 이러한 false Positive를 줄이기 위해 IDS 에서 나오는 Alert 중 False Positive를 필터링 하는 방법에 대해 제시한다. 공격에 대한 Alert과 False Positive Alert의 시간 패턴을 각각 분석, 학습함으로써 그 후의 Alert의 False Positive 여부를 판별한다.

• Journal of the Korean Society of Laryngology, Phoniatrics and Logopedics
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• v.13 no.1
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• pp.40-44
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• 2002

Background and Objectives : Vocal abuse and misuse and muscle tension dysphonia that have various movements of false vocal folds may be related to the development of benign vocal folds lesions, such as vocal nodules, polyps, and cysts. This study was designed to determine whether benign vocal folds lesions were related with movements of false vocal folds on phonation. Material and Methods : One Hundred and seventy eight subjects were studied. All subjects received otolaryngological evaluation including videostroboscopy, objective voice measures. Patients were diagnosed as normal shape of vocal folds (group a), approximation of bilateral false vocal folds (group b), approximation of unilateral false vocal folds (group c), lateralized extension of false vocal folds (group d), and medialized approximation of posterior false vocal folds (group e). We analyzed the results of benign vocal folds lesions in each group. Results : Differences were found between the normal shaped group and the abnormal shaped group. No differences were found between each abnormal groups except group d and e. Conclusion : The shape of false vocal folds was related to the benign vocal folds lesions.

• Korean Journal of Child Studies
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• v.36 no.5
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• pp.135-153
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• 2015

The purpose of this study was to investigate false belief understanding and justification reasoning according to information of reality amongst children aged 3, 4 and 5. Children aged 3 to 5 years (N = 176) participated in this study. Each child was interviewed individually and responded to questions designed to measure his/her false belief understanding. Every child responded to the false belief task under two different information conditions of reality(reality known vs reality unknown). For more specific analysis, children's reasoning responses were also recorded. The major findings of this study are as follows. Children could understand false belief more easily under reality unknown conditions. Specifically, the influences of information conditions were crucial to 3-year-olds but not to 4- and 5-year-olds. Although 3 year olds were able to avoid the systematical errors inherent in the false belief task, they still did not understand the false belief itself. This study provides specific aspects of false belief understanding and its relevance to general changes in cognitive development.

• Journal of the Korean Society of Laryngology, Phoniatrics and Logopedics
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• v.24 no.1
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• pp.51-54
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• 2013

False vocal fold hypertrophy caused by diverse pathologic lesion, such as laryngeal amyloidosis, laryngeal lipidosis, laryngocele, saccular cyst and sulcus vocalis. False vocal fold hypertrophy, however, is also caused laryngeal structure deformity, irrespective of pathologic lesions. In this article, we report some cases of false vocal fold hypertrophy caused by inward bowing of thyroid cartilage. At the clinic of the department of otorhinolaryngology in Gangnam Severance Hospital, with 3 male complained of hoarseness as subjects, and comfirmed of false vocal fold hypertrophy using the stroboscopy and larynx CT we checked vocal fold and laryngeal structure. Three patients with apparent hypertrophy of false vocal fold were investigated with computerized tomography (CT). In all patients, marked concavity of thyroid cartilage was revealed in CT scan at the level of the false vocal fold, and this deformity of the thyroid cartilage seemed to cause a protrusion of false vocal fold which taken as hypertrophy in stroboscopy. Careful palpation of the larynx and a CT scan taken at the level of the false vocal fold should be useful in determining whether hypertrophy of the false vocal fold is pathologic. For the next articles, It is necessary to discuss for the cause, diagnosis, treatment and prevention of inward bowing of thyroid cartilage.

• Journal of the Earthquake Engineering Society of Korea
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• v.25 no.2
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• pp.71-81
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• 2021

This paper presents a real-time, false-pick filter based on deep learning to reduce false alarms of an onsite Earthquake Early Warning (EEW) system. Most onsite EEW systems use P-wave to predict S-wave. Therefore, it is essential to properly distinguish P-waves from noises or other seismic phases to avoid false alarms. To reduce false-picks causing false alarms, this study made the EEWNet Part 1 'False-Pick Filter' model based on Convolutional Neural Network (CNN). Specifically, it modified the Pick_FP (Lomax et al.) to generate input data such as the amplitude, velocity, and displacement of three components from 2 seconds ahead and 2 seconds after the P-wave arrival following one-second time steps. This model extracts log-mel power spectrum features from this input data, then classifies P-waves and others using these features. The dataset consisted of 3,189,583 samples: 81,394 samples from event data (727 events in the Korean Peninsula, 103 teleseismic events, and 1,734 events in Taiwan) and 3,108,189 samples from continuous data (recorded by seismic stations in South Korea for 27 months from 2018 to 2020). This model was trained with 1,826,357 samples through balancing, then tested on continuous data samples of the year 2019, filtering more than 99% of strong false-picks that could trigger false alarms. This model was developed as a module for USGS Earthworm and is written in C language to operate with minimal computing resources.

• Korean Journal of Child Studies
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• v.29 no.1
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• pp.257-273
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• 2008

This study examined the development of children's theory of mind by types of false-belief tasks and various mental states. Seventy six 3-, 4-, 5- and 6-year olds were asked to infer others' minds or choose other's behaviors. Ten tasks, including two picture book tasks, were used to tap the children's understanding of various mental states. Results showed that children did well in their understanding of diverse perception and desire, but they did poorly in emotional inference based on false-belief, and second order false-belief. Children performed better in picture book tasks than in classical tasks for the understanding of false-belief and false-belief based emotion.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.6 no.2
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• pp.173-177
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• 2006

This paper investigates the asymmetric costs of false errors to enhance the detection systems performance. The proposed method utilizes the network model to consider the cost ratio of false errors. By comparing false positive errors with false negative errors this scheme achieved better performance on the view point of both security and system performance objectives. The results of our empirical experiment show that the network model provides high accuracy in detection. In addition, the simulation results show that effectiveness of probe detection is enhanced by considering the costs of false errors.