• Journal of Intelligence and Information Systems
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• v.29 no.3
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• pp.267-286
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• 2023

The conversational agents such as AI speakers utilize voice conversation for human-computer interaction. Voice recognition errors often occur in conversational situations. Recognition errors in user utterance records can be categorized into two types. The first type is misrecognition errors, where the agent fails to recognize the user's speech entirely. The second type is misinterpretation errors, where the user's speech is recognized and services are provided, but the interpretation differs from the user's intention. Among these, misinterpretation errors require separate error detection as they are recorded as successful service interactions. In this study, various text separation methods were applied to detect misinterpretation. For each of these text separation methods, the similarity of consecutive speech pairs using word embedding and document embedding techniques, which convert words and documents into vectors. This approach goes beyond simple word-based similarity calculation to explore a new method for detecting misinterpretation errors. The research method involved utilizing real user utterance records to train and develop a detection model by applying patterns of misinterpretation error causes. The results revealed that the most significant analysis result was obtained through initial consonant extraction for detecting misinterpretation errors caused by the use of unregistered neologisms. Through comparison with other separation methods, different error types could be observed. This study has two main implications. First, for misinterpretation errors that are difficult to detect due to lack of recognition, the study proposed diverse text separation methods and found a novel method that improved performance remarkably. Second, if this is applied to conversational agents or voice recognition services requiring neologism detection, patterns of errors occurring from the voice recognition stage can be specified. The study proposed and verified that even if not categorized as errors, services can be provided according to user-desired results.

• The Korean Journal of Cytopathology
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• v.18 no.1
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• pp.13-19
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• 2007

An aim of this study was to evaluate an effect of misinterpretation of pregnancy related cellular changes on the postpartum regression rate of abnormal cervical smears in pregnancy. A series of 265 cases with abnormal cervical smears in pregnancy were selected from a database of cervical smear results. The selected cases were classified as regression, persistence, and progression based on the results of postpartum cervical smears and histology. Of the selected cases, 162 cases were classified as regression and the postpartum regression rate was 61.1% (162/265). We reviewed abnormal cervical smears in pregnancy these cases. The primary cytologic diagnoses of these cases were ASCUS (118 cases), AGUS (2 cases), ASCUS/AGUS (1 case), LSIL (25 cases), LSIL R/O HSIL (2 cases), and HSIL (14 cases). With information of the pregnacy, we identified decidual cells in 24 cases, but cells identified by the Arias-Stella reaction and trophoblasts were not found. Sixteen cases out of 162 cases were reclassified as a pregnancy related change rather than an abnormal. Desidual cells were considered as ASCUS in 15 cases and as LSIL in one case. The revised postpartum regression rate was 55.5%(147/265) and was lower than the original. Consequently, misinterpretation of the pregnancy related cellular changes has an effect on a rise of the postpartum regression rate of the abnormal cervical smear in pregnancy. Pathologists may diagnose pregnancy related cellular changes as abnormal findings if they do not have information regarding the pregnancy. Therefore, clinical information of pregnancy and knowledge about the pregnancy related cellular changes are essential to prevent misinterpretation.

• Journal of Arbitration Studies
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• v.15 no.1
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• pp.207-228
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• 2005

When closing an international contract, both contract parties endeavor to convey their intentions from the stage of negotiation to the moment of signing the contract. Of the many problems presently related to contract language, the first one to consider is which contract party will run the risk of the language deficiencies occurring as a result of the misunderstanding and misinterpretation between different languages. The second problem to consider is whether the interpretation and translation of the contract language is needed and, if so, which party is going to bear the expenses and assume responsibility of the misinterpretation in the translation of, the contract language. The third problem is related to the obligation of explaining to both contract parties the contents and details of the international contract written in different languages. The fourth issue is which language of both contract parties becomes the standard contract language in the procedure of arbitration. The fifth, but not the last problem, is how to solve the language defects in interpreting and translating the contract languages. These five problems can be easily solved by the approval of the contract parties in scrutinizing and selecting the contract languages. However, this research mainly focuses on which effects of the contract language and as how to define and select the contract language.

• Journal of the Korean Magnetic Resonance Society
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• v.12 no.1
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• pp.60-64
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• 2008

Cross-polarization (CP) signals were observed even from liquid samples such as neat toluene. Therefore, CP signals of liquid molecules in the presence of high surface materials do not necessarily mean the molecules are adsorbed on solid surface, especially when no signal from the tertiary observing nuclei such as carbons of the molecules is detected.

• Sleep Medicine and Psychophysiology
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• v.8 no.2
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• pp.138-143
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• 2001

Sleepiness is associated with many different conditions and, as a neglected topic, it can be the cause of serious psychological and social disadvantages. In the aspect of learning, additional problems may arise from poor progress in school caused by the effect of sleepiness on concentration, memory, and other cognitive functions. Narcolepsy is by no means the most common cause of excessive sleepiness. Nonetheless, it is not a rarity, especially in young people. The non-specific nature of early features of narcolepsy, combined with very limited awareness that the condition can start in various ways, leads to many misinterpretations. Misinterpretation of narcolepsy symptoms is not confined to the medical profession. Teachers may well be critical of a student with narcolepsy because of their perception of narcolepsy symptoms as laziness, poor motivation, or difficult behavior and dull learning ability. Inappropriate reactions by parents, teachers, and peers, based on misinterpretation of narcolepsy symptoms or the patient's reactions to them, make a difficult situation worse. Especially in Korea, where schooling is focused on college entrance examinations, the problem is very serious and intensified by inappropriate or delayed diagnosis and treatment. Therefore, psychiatrists should be aware that narcolepsy in young adolescents is not rare and that they need to be familiar with its clinical features in both its classic and less obvious forms. Narcolepsy should be suspected if a adolescent's excessive sleepiness can not be explained in other ways. Therefore, we report on two patients who portray the tendency of dull learning ability and are mistaken as idle students. We diagnosed narcolepsy through polysomnography and multiple sleep latency testing. We treated the students with methylphenidate and pemolin. The students showed improvement in learning ability and were able to adapt better to school.

• KIEE International Transaction on Electrical Machinery and Energy Conversion Systems
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• v.5B no.2
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• pp.103-110
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• 2005

Broken rotor bars in induction motors can be detected by monitoring any abnormality of the spectrum amplitudes at certain frequencies in the motor current spectrum. Broken rotor bar fault detection schemes should rely on multiple signatures in order to overcome or reduce the effect of any misinterpretation of the signatures that are obscured by factors such as measurement noises and different load conditions. Multiple Discriminant Analysis (MDA) and Artificial Neural Networks (ANN) provide appropriate environments to develop such fault detection schemes because of their multi-input processing capabilities. This paper describes two fault detection schemes for broken rotor bar fault detection with multiple signature processing, and demonstrates that multiple signature processing is more efficient than single signature processing.

• Korean Journal of Psychosomatic Medicine
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• v.4 no.2
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• pp.262-268
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• 1996

It is important not only understanding the underlying psychodynamic mechanism of the somatization but also understanding the somatization as a process where biological and sociocultural factors are acting as maintaining and exaggerating the primary vague somatic symptoms. Recently, among mechanisms of the somatization biological and cognitive aspect became more important than psychodynamics. When the doctors see patients complain physical discomforts without organic foundation, they should give attention to the mechanism of symptom amplification, misinterpretation, individual cognitive characteristics and learned behavior. Psychiatric disorders which show somatic symptoms should be also evaluated. Autonomic dysfunctions linked with stress would give some clues of the mystery of the mind-body relationship.

• International Journal of Quality Innovation
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• v.4 no.1
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• pp.116-130
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• 2003

The gap-based SERVQUAL model is a popular service quality determinant due to its superior diagnostic capacity over alternative explanatory frameworks. However, some researchers criticize the performance of the SERVQUAL model and propose alternative service Quality measurement constructs. Nevertheless, it is argued that the superior diagnostic capacity of SERVQUAL is its key strength; and that any criticism made of it when making comparison with alternative models does not reflect the differing nature of scales of statistical analysis. Arguably, the only limitation of a gap-based model is misinterpretation of customers' evaluation and perception of a service. In this research, the gap score is transformed into a ratio score. Also, empirical tests and implications are presented to support this alternative contribution to the body of knowledge.

• Journal of Biomedical Engineering Research
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• v.7 no.1
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• pp.53-58
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• 1986

This paper represent the design of a digital modem which transmits the ECG data from an ambulatory arrhythmia monitor over the telephone lines to a large hospital for the instantaneous interpretations. The digital modem provides on-line communications between the patient and the central computer located near cardiologists. For commercial telephone lines, the transmitting error rates of the digital modem were measured 200 times at a speed of 300 baud. In those measurements, the block errors-results, due to the misinterpretation of start and stop bits, did not occur, The data bit errors which were due to a single bit interpreted incorrectly were 0.78 (bits/10 ) . Since the acceptable data bit error limit is 10 per 106 bits transmitted, the digital modem designed in this paper can be used for the clinical applications without any difficulty.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.18
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• pp.7985-7987
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• 2014

Introduction: Khon Kaen Cancer Registry (KKCR) was established in 1984. KKCR aims to collect all cancer cases in Khon Kaen Province. The poorly qualified data may lead to distort the cancer burden and misinterpretation of policy maker. Objective: To assess data quality in childhood cancer between 1990 and 2007 in Khon Kaen Province, Thailand. Materials and Methods: Data of childhood cancer cases aged less than 20 years diagnosed during 1990-2007 were retrieved from the population-based data set of KKCR. All childhood cancer data were verified before data entry. Internal consistency, percentage of morphological verification (MV%) and cancer cased of the basis of diagnosis by death certificate only (DCO%) were evaluated. The age-adjusted rate (ASR) was calculated by standard method. Results: The data of childhood cancer from KKCR is acceptably qualified which reflects the quality of the whole registration.