• The Journal of Korean Academy of Sensory Integration
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• v.17 no.2
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• pp.56-68
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• 2019

Objective : The purpose of this study is to provide evidence for a systematic analysis of occupational therapy interventions for the activity and participation of children and adolescents with developmental disabilities. Methods : The articles used in this study were collected from the RISS, KISS, and DBpia databases. The key words used were "children and occupational therapy" "children and sensory integration," "adolescent and occupational therapy," "adolescent and sensory integration," "developmental disorder and occupational therapy," and "developmental disorder and sensory integration." The research period was limited to January 2008 to August 2018. Seven articles in total were selected for systematic analysis. Results : Most of the included works were single-case studies, and most subjects dealt with the autism spectrum disorder. The majority of the interventions used involved sensory integration. Occupational therapy interventions were self-care (33%), major life area (33%), learning and application (11%), communication (11%), and mobility (11%). Conclusion : This study will help with understanding the current state of occupational therapy interventions for the activity and participation. On the basis of this understanding, various studies on this subject are expected to be conducted in the future.

• The Journal of the Acoustical Society of Korea
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• v.40 no.5
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• pp.530-536
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• 2021

Recently, due to the development of deep learning, end-to-end speech recognition, which directly maps graphemes to speech signals, shows good performance. Especially, among the end-to-end models, conformer shows the best performance. However end-to-end models only focuses on the probability of which grapheme will appear at the time. The decoding process uses a greedy search or beam search. This decoding method is easily affected by the final probability output by the model. In addition, the end-to-end models cannot use external pronunciation and language information due to structual problem. Therefore, in this paper conformer with lexicon transducer is proposed. We compare phoneme-based model with lexicon transducer and grapheme-based model with beam search. Test set is consist of words that do not appear in training data. The grapheme-based conformer with beam search shows 3.8 % of CER. The phoneme-based conformer with lexicon transducer shows 3.4 % of CER.

• KIPS Transactions on Software and Data Engineering
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• v.7 no.11
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• pp.435-442
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• 2018

Outlier detection means to detect data samples that deviate significantly from the distribution of normal data. Most outlier detection methods calculate an outlier score that indicates the extent to which a data sample is out of normal state and determine it to be an outlier when its outlier score is above a given threshold. However, since the range of an outlier score is different for each data and the outliers exist at a smaller ratio than the normal data, it is very difficult to determine the threshold value for an outlier score. Further, in an actual situation, it is not easy to acquire data including a sufficient amount of outliers available for learning. In this paper, we propose a clustering-based outlier detection method by constructing a model representing a normal data region using only normal data and performing binary classification of outliers and normal data for new data samples. Then, by dividing the given normal data into chunks, and constructing a clustering model for each chunk, we expand it to the ensemble method combining the decision by the models and apply it to the streaming data with dynamic changes. Experimental results using real data and artificial data show high performance of the proposed method.

• International Journal of Computer Science & Network Security
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• v.21 no.8
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• pp.71-78
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• 2021

The relevance of research provides the necessity to identify the basic problems in the public governance sphere and information technology relations, forasmuch as understanding such interconnections can indicate the consequences of the development and spreading information technologies. The purpose of the research is to outline the issues of applying information technologies in public governance sphere. 500 civil servants took part in the survey (Ukraine). A two-stage study was conducted in order to obtain practical results of the research. The first stage involved collecting and analyzing the responses of civil servants on the Mentimeter online platform. In the second stage, the administrator used the SWOT-analysis system. The tendencies in using information technologies have been determined as follows: the institutional support development; creation of analytical portals for ensuring public control; level of accountability, transparency, activity of civil servants; implementation of e-government projects; changing the philosophy of electronic services development. Considering the threats and risks to the public governance system in the context of applying information technologies, the following aspects generated by societal requirements have been identified, namely: creation of the digital bureaucracy system; preservation of information and digital inequality; insufficient level of knowledge and skills in the field of digital technologies, reducing the publicity of the state and municipal governance system. Weaknesses of modern public governance in the context of IT implementation have been highlighted, namely: "digitization for digitalization"; lack of necessary legal regulation; inefficiency of electronic document management (issues caused by the imperfection of the interface of reporting interactive forms, frequent changes in the composition of indicators in reporting forms, the desire of higher authorities to solve the problem of their introduction); lack of data analysis infrastructure (due to imperfections in the organization of interaction between departments and poor capacity of information resources; lack of analytical databases), lack of necessary digital competencies for civil servants. Based on the results of SWOT-analysis, the strengths have been identified as follows: (possibility of continuous communication; constant self-learning); weaknesses (age restrictions for civil servants; insufficient acquisition of knowledge); threats (system errors in the provision of services through automation); opportunities for the introduction of IT in the public governance system (broad global trends; facilitation of the document management system). The practical significance of the research lies in providing recommendations for eliminating the problems of IT implementation in the public governance sphere outlined by civil servants..

• Journal of radiological science and technology
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• v.44 no.5
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• pp.503-512
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• 2021

The purpose of this study is to check the extent to which "instruction of physician or dentist" defined in the Medical Service Technologists, etc. Act is applied in relation to radiography examination procedures for radiological technologists. In addition, it is intended to present basic data on the requirement to revise the Medical Service Technologists, etc. Act in the radiological technologist's duty area and scope of work, The subjects of this study were radiological technologists with license, and the response data were collected after sending the questionnaire link written on the online questionnaire form. The final number of respondents were 1,018, and the response rate was 6.8%. Most of the negative responses were "I have never received 'instruction' for radiologic examination by a physician or dentist, including a radiologist in a medical environment." There were a high perception that "the professionalism in radiation examination on radiological technologists are higher than that of a physician or dentist." They answered that the current continuing education has a great impact on maintaining and continuing professionalism and learning new knowledge in the radiology field. In addition, the radiological technologists provide a very high level of education in areas related to radiography procedure ethics such as patient care, patient safety, and patient privacy protection, as well as specialized fields such as radiation-related examination methods, radiography examination dose, and patient exposure dose. Radiological technologists replied that they were receiving it consistently. In conclusion, in the current medical environment, the 'instruction' of a physician or dentist cannot be seen as being realistically performed. The phrase 'instruction' of a physician or dentist as defined in the Medical Service Technologists, etc. Act is considered inappropriate in respect of the fact that the state recognizes the qualifications of the medical service technologist through a license. It is thought that revision to a new term suitable for the current medical environment is necessary.

• 기호학연구
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• no.54
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• pp.7-36
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• 2018

Michael Polanyi's idea of tacit knowledge came from the realization that scientific objectivity and critical philosophy had become too restrictive for philosophy, especially in the realm of meaning, which is beyond positivistic proof and contains more non-critical elements than critical ones. In social life, people still share certain kinds of knowledge and beliefs which they obtain without making or learning those explicitly. Contemplating the role and significance of tacit knowledge, he called for a post-critical philosophy that integrates the realm of meaning and thereby appreciates the intertwined nature of tacit and explicit knowledge. Polanyi's position towards skepticism and doubt shows similarities with Charles S. Peirce's thinking about the relationship between belief and doubt. Although Peirce's semeiotics stands firmly in the tradition of critical philosophy, he affirms that doubt cannot be a constant state of mind and only belief can form a basis for a specific way of life. Polanyi's approach differs from Peirce's by focusing on the impossibility of scientific knowledge based solely on principles and precision, and his emphasis on the crucial role of the community of scientists. Nevertheless, the deeper implications of Peirce's contemplations on belief and doubt have myriad ramifications on the philosophy of science as well as the sociology of science.

• (The)Study of the Eastern Classic
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• no.34
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• pp.89-112
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• 2009

Park Se-dang who has the pen name of Seogye is a man in the 17th century. Then, Joseon Dynasty is try to restore the state which became impoverished by two wars. When Sung Confucianism of Chu-tz was dogmatized, Seogye analyzed independently the scriptures and was regarded as a traitor against Sung Confucianism. Therefore, this paper discussed the understanding of Seogye's works and its social reflection through the research data about Seogye. Although Seogye has blue blood in his veins, he belonged to a non-mainstream group in the faction of Seo-in and had a liberal inclination. That he has shuned in the school of Sung Confucianism owed to Sabyeunrok of his work, and its main reason is his criticism against Song Si-yeul. He argued the two principles different from Chu-tz's three principles. Also, he not accepted the Chu-tz's theory and was similar to the Wang Yangming school in the issue of gaining knowledge by the study of things Now to conclude, Seogye outstretched the liberal inclination in Sung Confucianism apart from the interpretation of scriptures. He was not indulged in Sung Confucianism of Chu-tz that was gradually ossifying at that time and took his own line. And he devoted himself to the study of practical learning and the education for younger scholars, and had acted as mediator between the Sung Confucianism of Chu-tz and the Practical Science that was in full bloom in the period of King Young-jo and King Jeong-jo.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.9 no.4
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• pp.11-22
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• 1999

Least-mean-square(LMS) adaptive filters have proven to be extremely useful in a number of signal processing tasks. However LMS adaptive filter suffer from a slow rate of convergence for a given steady-state mean square error as compared to the behavior of recursive least squares adaptive filter. In this paper an efficient signal interference control technique is introduced to improve the convergence speed of LMS algorithm with tap weighted vectors updating which were controled by reusing data which was abandoned data in the Adaptive transversal filter in the scheme with data recycling buffers. The computer simulation show that the character of convergence and the value of MSE of proposed algorithm are faster and lower than the existing LMS according to increasing the step-size parameter $\mu$ in the experimentally computed. learning curve. Also we find that convergence speed of proposed algorithm is increased by (B+1) time proportional to B which B is the number of recycled data buffer without complexity of computation. Adaptive transversal filter with proposed data recycling buffer algorithm could efficiently reject ISI of channel and increase speed of convergence in avoidance burden of computational complexity in reality when it was experimented having the same condition of LMS algorithm.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.34 no.1
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• pp.25-33
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• 2021

With the development of machine learning techniques, various types of data such as vibration, temperature, and flow rate can be used to detect and diagnose abnormalities in machine conditions. In particular, in the field of the state monitoring of rotating machines, the fault diagnosis of machines using vibration data has long been carried out, and the methods are also very diverse. In this study, an experiment was conducted to collect vibration data from normal and abnormal compressors by installing accelerometers directly on rotary compressors used in household air conditioners. Data segmentation was performed to solve the data shortage problem, and the main features for the fault classification model were extracted through the chi-square test after statistical and physical features were extracted from the vibration data in the time domain. The support vector machine (SVM) model was developed to classify the normal or abnormal conditions of compressors and improve the classification accuracy through the hyperparameter optimization of the SVM.

• Journal of the Korea Institute of Building Construction
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• v.21 no.6
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• pp.665-676
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• 2021

As the number of deteriorated buildings increases, the importance of safety diagnosis and maintenance of buildings has been rising. Existing visual investigations and building safety diagnosis objectivity and reliability are poor due to their reliance on the subjective judgment of the examiner. Therefore, this study presented the limitations of the previously conducted appearance investigation and proposed 3D Point Cloud data to increase the accuracy of existing detailed inspection data. In addition, this study conducted a calculation of an objective building safety grade using a Deep-Neural Network(DNN) structure. The DNN structure is generated using the existing detailed inspection data and precise safety diagnosis data, and the safety grade is calculated after applying the state evaluation data obtained using a 3D Point Cloud model. This proposed process was applied to 10 deteriorated buildings through the case study, and achieved a time reduction of about 50% compared to a conventional manual safety diagnosis based on the same building area. Subsequently, in this study, the accuracy of the safety grade calculation process was verified by comparing the safety grade result value with the existing value, and a DNN with a high accuracy of about 90% was constructed. This is expected to improve economic feasibility in the future by increasing the reliability of calculated safety ratings of old buildings, saving money and time compared to existing technologies.