• Journal of Advanced Navigation Technology
• /
• v.19 no.4
• /
• pp.311-317
• /
• 2015

This paper is a study on how to develop service robots can easily complex software development services robot control system. User created contents based on the robot control system developed in this study is a robot drive control circuit, a sensor data processing, the status, the monitoring systems and modular system to configure the service robot operation screen from a user perspective and that can control the service robot operation As in the text-based features that can be operated to have freedom to the robot control service content. In addition, the user has the advantage that changes position by the development as well as user created contents desired by the user operating the robot control GUI (graphic user interface) also changes are possible. As a result, the service robot operator to offer a way to make the service robot can be conveniently presented in a user's point of view how to enable the development of the service robot.

• Journal of Advanced Navigation Technology
• /
• v.15 no.4
• /
• pp.655-663
• /
• 2011

Recently, with improvement of internet service technology, web service has been affecting the environment for computing user. Not only current events, economics, game, entertainment, but also personal financial system is processed by web pages through internet. When data transmission is implemented on the internet, webpage acquire text form code and transform them to DOM information, and then shows processed display to user by web browser. However, those information are not only easily accessed by diversified route, but also easily deformed by intentional purpose. Furthermore, it is also possible to acquire logon information of users and certification information by detouring security mechanism. Therefore, this dissertation propose the method to verify integrity of web contents by using BHO which is one of the Add-On program based on MS Internet Explorer platform which is one of major web browser program designed by MicroSoft to detect any action of webpage deformation.

• Journal of Acupuncture Research
• /
• v.32 no.3
• /
• pp.135-146
• /
• 2015

Objectives : This study was designed to evaluate clinical evidence of moxibustion treatment for knee pain. Methods : All processes were independently carried out by three investigators. A literature search was performed in 3 databases from their inception to May 2015. Ten reports were found based on their title, abstract and text. Following this, data extraction and analysis were done using a risk of bias(ROB) and through an assessment of multiple systematic reviews(AMSTAR). Results : 10 studies(6RCT, 2SR, 2CR) were included. Generally, indirect moxibustion was used for knee pain, but only one study indicated the use of direct moxibustion. Moxibustion was shown to be effective in treating knee pain, and the number of required treatments was fourteen on average. In assessing risk of bias, indefinite and uncertain information made all included trials subject to a high risk of bias. On the other hand, SR showed all evaluation items in the assessment of multiple systematic reviews, with the exception of an included or excluded studies list. Conclusions : Because of deficient study design or limited research planning, there is not sufficient evidence to allow for any conclusion about the efficacy of moxibustion for knee pain. Therefore, well-designed high quality trials are needed from now on.

• Journal of Korean Academy of Nursing
• /
• v.22 no.3
• /
• pp.337-351
• /
• 1992

Nursing as it is practiced and taught, historically has been viewed as natural science. There are new movements to create a paradigm of nursing in the human sciences. A natural science methodologies elicit quantitative data from observable phenomena and reveal causal relationships. Human science methodology is the study of Unitary Man's participative experience in a situation, the simultaneity paradigm. In a theory of nursing rooted in human science assumptions about man and health are synthesized, and the practice of nursing is continuously expanded through research. To find independent nursing interventions especially cognitive nursing intervention models it has been necessary to consult a multitude of journals and text sources for references, and no one nursing textbook can be used in help patients achieve nursing goals. The goals of nursing in the simultaneity paradigm focus on the quality of life from the person's perspective. Cognitive interventions based on the person's perspective were selected from those that colleagues deemed appropriate to nursing and those that were identified in the nursing literature. They were supportive nursing care, reminiscence, meditation, relaxation and imagery. Nurses have been reluctant to make diagnoses, implement actions, and assume responsibility for this actions and this is of concern but can be understood because nurses have had little exposure to action and lack an intervention armamentarium from with which to choose actions to achieve nursing goals. Efforts in nursing education and nursing service are required to remedy this problem. Nurses must be convinced of the challenge and excitement associated with autonomous functioning. It is a characteristic of the true professional. Traditionally, nursing has prescribed one method for handling a situation. Fundamental nursing texts usually only present one way to handle a situation, because alternative interventions to achieve a client goal may be available. Considerably more research is necessary before these can be prescribed. However, unless a first step is taken, progress will not be made. The quality of health care or nursing care is enhanced when nurses transform dilemas into commited action. This is apparent from widespread experiences of nurses.

• Journal of Korean Academy of Nursing
• /
• v.37 no.3
• /
• pp.391-400
• /
• 2007

Purpose: The purpose of this study was to identify the nursing images appearing in elementary school textbooks. Method: This study targeted 130 textbooks of 13 subjects under the 7th national curriculum for elementary schools as of December 2005. Nursing-related texts, photographs, and illustrations in the textbooks were analyzed by using a content analysis method. As for the textbook analysis, two coders thoroughly read the textbooks to record nursing-related content per coding paper, respectively. Result: The total number of nursing-related content appearing in 130 textbooks of 13 subjects was 70. More nursing-related content was exhibited in the photograph and illustration domain(N=57, 81.4%) than in the text domain(N=13, 18.6%). Nursing-related content(N=70) appeared in the order of nursing activities with 56(80.0%), nursing as a job with 10(14.3%), and others with 4(5.7%). As for the nursing image of nursing-related content, positive images weremost with 30(42.9%), followed by negative images with 21(30.0%), and neutral images with 19(27.1%). Conclusion: Nursing-related content was dealt with too little, and dependent nursing activities such as medication, and assisting roles for doctor's examinations and treatments mainly appeared. Also, the main activity place was a hospital. To introduce proper and adequate nursing activities to the students, various types of nursing-related data and material should be distributed to front line schools, teachers, main authors, and publishing companies.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2008.10a
• /
• pp.455-458
• /
• 2008

Former times Information Technology generally has only depended on text or sound, while nowadays information is being moved through a variety of image media. Cell phone, TV and computer have been major elements of modem society as mediators using image signal. Therefore, image signal processing also has been treated importantly and done actively. The processing has been developed in many fields of digital image processing technologies as image data compression, recognition, restoration, etc. Noises are inevitably generated by using the signals during the processing, and typical types of the noise are Impulse(salt & pepper) and AWGN(Addiction White Gaussian Noise). To reduce the noise, various kinds of filters have been developed, and according to each noise, it is being used different filter each. However, the noise is not generated by one signal but by a complex. In this paper, I suggested an image filter to remove the complex noise, and compared with existing filters' methods for verification.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.21 no.5
• /
• pp.974-983
• /
• 2017

In this paper, we have discussed the search function that can be embedded and used on Android-based applications. We used BM25 to suppress insignificant and too frequent words such as postpositions, Pivoted Length Normalization technique used to resolve the search priority problem related to each item's length, and Rocchio's method to pull items inferred to be related to the query closer to the query vector on Vector Space Model to support implicit feedback function. The index operation is divided into two methods; simple index to support offline operation and complex index for online operation. The implementation uses query inference function to guess user's future input by collating given present input with indexed data and with it the function is able to handle and correct user's error. Thus the implementation could be easily adopted into smartphone applications to improve their search functions.

• The Transactions of the Korea Information Processing Society
• /
• v.6 no.6
• /
• pp.1447-1457
• /
• 1999

Visual Object Query language(VOQL) proposed recently is a visual object-oriented database query language which can effectively represent queries on complex structured data, since schema information is visually included in query expressions. VOQL, which is a graph-based query language with inductively defined semantics, can concisely represent various text-based path expressions by graph, and clearly convey the semantics of complex path expressions. however, the existing VOQL assumes that all the attributes are multi-valued, and cannot visualize the concept of binding of object variables. therefore, VPAL query expressions are not intuitive, so that it is difficult to extend the existing VOQL theoretically. In this paper, we propose VOQL that improved on these problems. The improved VOQL visualizes the result of a single-valued attribute and that of a multi-valued attribute as a visual element and a subblob, respectively, and specifies the binding of object variables by introducing visual variables, so that the improved VOQL intuitively and clearly represents the semantics of queries.

• Journal of KIISE:Computing Practices and Letters
• /
• v.14 no.4
• /
• pp.401-411
• /
• 2008

Folksonomy, which is created through the collaborative tagging from many users, is one of the driving factors of Web 2.0. Tags are said to be the web metadata describing a web document. If we are able to find the semantic subsumption relationships between tags created through the collaborative tagging, it can help users understand the metadata more intuitively. In this paper, targeting del.icio.us tag data, we propose a method named FolksoViz for deriving subsumption relationships between tags by using Wikipedia texts. For this purpose, we propose a statistical model for deriving subsumption relationships based on the frequency of each tag on the Wikipedia texts, and TSD(Tag Sense Disambiguation) method for mapping each tag to a corresponding Wikipedia text. The derived subsumption pairs are visualized effectively on the screen. The experiment shows that our proposed algorithm managed to find the correct subsumption pairs with high accuracy.

• KIPS Transactions on Software and Data Engineering
• /
• v.9 no.2
• /
• pp.53-60
• /
• 2020

Sentiment analysis is the automated process of understanding attitudes and opinions about a given topic from written or spoken text. One of the sentiment analysis approaches is a dictionary-based approach, in which a sentiment dictionary plays an much important role. In this paper, we propose a method to automatically generate Korean sentiment lexicon from the well-known English sentiment lexicon called VADER (Valence Aware Dictionary and sEntiment Reasoner). The proposed method consists of three steps. The first step is to build a Korean-English bilingual lexicon using a Korean-English parallel corpus. The bilingual lexicon is a set of pairs between VADER sentiment words and Korean morphemes as candidates of Korean sentiment words. The second step is to construct a bilingual words graph using the bilingual lexicon. The third step is to run the label propagation algorithm throughout the bilingual graph. Finally a new Korean sentiment lexicon is generated by repeatedly applying the propagation algorithm until the values of all vertices converge. Empirically, the dictionary-based sentiment classifier using the Korean sentiment lexicon outperforms machine learning-based approaches on the KMU sentiment corpus and the Naver sentiment corpus. In the future, we will apply the proposed approach to generate multilingual sentiment lexica.