• Title/Summary/Keyword: 의료정보 기술

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Efficient Stack Smashing Attack Detection Method Using DSLR (DSLR을 이용한 효율적인 스택스매싱 공격탐지 방법)

  • Do Yeong Hwang;Dong-Young Yoo
    • KIPS Transactions on Computer and Communication Systems
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    • v.12 no.9
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    • pp.283-290
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    • 2023
  • With the recent steady development of IoT technology, it is widely used in medical systems and smart TV watches. 66% of software development is developed through language C, which is vulnerable to memory attacks, and acts as a threat to IoT devices using language C. A stack-smashing overflow attack inserts a value larger than the user-defined buffer size, overwriting the area where the return address is stored, preventing the program from operating normally. IoT devices with low memory capacity are vulnerable to stack smashing overflow attacks. In addition, if the existing vaccine program is applied as it is, the IoT device will not operate normally. In order to defend against stack smashing overflow attacks on IoT devices, we used canaries among several detection methods to set conditions with random values, checksum, and DSLR (random storage locations), respectively. Two canaries were placed within the buffer, one in front of the return address, which is the end of the buffer, and the other was stored in a random location in-buffer. This makes it difficult for an attacker to guess the location of a canary stored in a fixed location by storing the canary in a random location because it is easy for an attacker to predict its location. After executing the detection program, after a stack smashing overflow attack occurs, if each condition is satisfied, the program is terminated. The set conditions were combined to create a number of eight cases and tested. Through this, it was found that it is more efficient to use a detection method using DSLR than a detection method using multiple conditions for IoT devices.

Effect of anesthesia nursing practice training program under perianesthesia nurses in Korean

  • Je Bog Yoo;Hye Jin Kim;Ae Sook Kim;Chang Ok Pyo;Jeung Hee Kwon;Min Ji Lee
    • Journal of the Korea Society of Computer and Information
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    • v.29 no.11
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    • pp.299-310
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    • 2024
  • This study is an experimental design study before and after an unequal control group to confirm the effect of the anesthesia nursing practice education program on the patient safety culture and organizational communication satisfaction of the perianesthesia nurse. Data was collected from 56 perianesthesia nurses nationwide through a questionnaire. The data were analyzed using the SPSS 27.0 program to analyze with descriptive statistics. As a result, the patient safety culture interaction between time and the experimental group (F=6.04, p=.017) and the organizational communication satisfaction score interaction were significant (F=4.97, p=.030). This study is of nursing significance in that a clinical practice education program for anesthesia nursing of perianesthesia nurses was developed and applied to the practical field. Based on the results of this study, it is suggested to develop and apply various practical adaptation programs to improve the practical capabilities of working nurses in the PACU using rapidly developing medical equipment.

Effect of Work Improvement for Promotion of Outpatient Satisfaction on CT scan (CT 외래환자의 만족도 향상을 위한 업무개선 연구)

  • Han, Man-Seok;Lee, Seung-Youl;Lee, Myeong-Goo;Jeon, Min-Cheol;Cho, Jae-Hwan;Kim, Tae-Hyung
    • Journal of radiological science and technology
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    • v.35 no.1
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    • pp.45-50
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    • 2012
  • Nowadays, most of the hospital serves "one stop service" for CT scan. The patients could be taken the CT scan in the day they register for scan. On the contrary to the time convenience, patients are not satisfied with long waiting time and unkindness of staff. The objective of this study is to improve the patient's satisfaction for the CT scan, by analyzing inconvenience factors and improving the service qualities. From April 1 to August 30 in 2011, we investigated the satisfaction of patients who did examined abdomen CT scan with contrast media. We analyzed the 89 questionnaires before and after the service improvements from them. The worker's kindness, the environment of CT room and understanding about CT scan were answered by questionnaire and the waiting time of a day CT scan was drawn by medical information statistics. Also, the period before improvement was from April to June and the period after improvement was from July to September. And these questionnaire was analyzed through SPSS V. 15.0. In this study, kindness of staff, environment of CT room, intelligibility for CT scan and waiting time was explored and analyzed by SPSS V.15.0. The score of kindness was improved by 32%, satisfaction level of the environment was improved by 52.54%. The understanding level about CT scan was improved by 52.36% and the wating time of a day CT was shortened by 21% through our service enhancement programs. Consequentially, it is considered that these efforts would contribute to increase the revenue of hospital.

Nonlinear Vector Alignment Methodology for Mapping Domain-Specific Terminology into General Space (전문어의 범용 공간 매핑을 위한 비선형 벡터 정렬 방법론)

  • Kim, Junwoo;Yoon, Byungho;Kim, Namgyu
    • Journal of Intelligence and Information Systems
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    • v.28 no.2
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    • pp.127-146
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    • 2022
  • Recently, as word embedding has shown excellent performance in various tasks of deep learning-based natural language processing, researches on the advancement and application of word, sentence, and document embedding are being actively conducted. Among them, cross-language transfer, which enables semantic exchange between different languages, is growing simultaneously with the development of embedding models. Academia's interests in vector alignment are growing with the expectation that it can be applied to various embedding-based analysis. In particular, vector alignment is expected to be applied to mapping between specialized domains and generalized domains. In other words, it is expected that it will be possible to map the vocabulary of specialized fields such as R&D, medicine, and law into the space of the pre-trained language model learned with huge volume of general-purpose documents, or provide a clue for mapping vocabulary between mutually different specialized fields. However, since linear-based vector alignment which has been mainly studied in academia basically assumes statistical linearity, it tends to simplify the vector space. This essentially assumes that different types of vector spaces are geometrically similar, which yields a limitation that it causes inevitable distortion in the alignment process. To overcome this limitation, we propose a deep learning-based vector alignment methodology that effectively learns the nonlinearity of data. The proposed methodology consists of sequential learning of a skip-connected autoencoder and a regression model to align the specialized word embedding expressed in each space to the general embedding space. Finally, through the inference of the two trained models, the specialized vocabulary can be aligned in the general space. To verify the performance of the proposed methodology, an experiment was performed on a total of 77,578 documents in the field of 'health care' among national R&D tasks performed from 2011 to 2020. As a result, it was confirmed that the proposed methodology showed superior performance in terms of cosine similarity compared to the existing linear vector alignment.

A study on the classification of research topics based on COVID-19 academic research using Topic modeling (토픽모델링을 활용한 COVID-19 학술 연구 기반 연구 주제 분류에 관한 연구)

  • Yoo, So-yeon;Lim, Gyoo-gun
    • Journal of Intelligence and Information Systems
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    • v.28 no.1
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    • pp.155-174
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    • 2022
  • From January 2020 to October 2021, more than 500,000 academic studies related to COVID-19 (Coronavirus-2, a fatal respiratory syndrome) have been published. The rapid increase in the number of papers related to COVID-19 is putting time and technical constraints on healthcare professionals and policy makers to quickly find important research. Therefore, in this study, we propose a method of extracting useful information from text data of extensive literature using LDA and Word2vec algorithm. Papers related to keywords to be searched were extracted from papers related to COVID-19, and detailed topics were identified. The data used the CORD-19 data set on Kaggle, a free academic resource prepared by major research groups and the White House to respond to the COVID-19 pandemic, updated weekly. The research methods are divided into two main categories. First, 41,062 articles were collected through data filtering and pre-processing of the abstracts of 47,110 academic papers including full text. For this purpose, the number of publications related to COVID-19 by year was analyzed through exploratory data analysis using a Python program, and the top 10 journals under active research were identified. LDA and Word2vec algorithm were used to derive research topics related to COVID-19, and after analyzing related words, similarity was measured. Second, papers containing 'vaccine' and 'treatment' were extracted from among the topics derived from all papers, and a total of 4,555 papers related to 'vaccine' and 5,971 papers related to 'treatment' were extracted. did For each collected paper, detailed topics were analyzed using LDA and Word2vec algorithms, and a clustering method through PCA dimension reduction was applied to visualize groups of papers with similar themes using the t-SNE algorithm. A noteworthy point from the results of this study is that the topics that were not derived from the topics derived for all papers being researched in relation to COVID-19 (

    ) were the topic modeling results for each research topic (
    ) was found to be derived from For example, as a result of topic modeling for papers related to 'vaccine', a new topic titled Topic 05 'neutralizing antibodies' was extracted. A neutralizing antibody is an antibody that protects cells from infection when a virus enters the body, and is said to play an important role in the production of therapeutic agents and vaccine development. In addition, as a result of extracting topics from papers related to 'treatment', a new topic called Topic 05 'cytokine' was discovered. A cytokine storm is when the immune cells of our body do not defend against attacks, but attack normal cells. Hidden topics that could not be found for the entire thesis were classified according to keywords, and topic modeling was performed to find detailed topics. In this study, we proposed a method of extracting topics from a large amount of literature using the LDA algorithm and extracting similar words using the Skip-gram method that predicts the similar words as the central word among the Word2vec models. The combination of the LDA model and the Word2vec model tried to show better performance by identifying the relationship between the document and the LDA subject and the relationship between the Word2vec document. In addition, as a clustering method through PCA dimension reduction, a method for intuitively classifying documents by using the t-SNE technique to classify documents with similar themes and forming groups into a structured organization of documents was presented. In a situation where the efforts of many researchers to overcome COVID-19 cannot keep up with the rapid publication of academic papers related to COVID-19, it will reduce the precious time and effort of healthcare professionals and policy makers, and rapidly gain new insights. We hope to help you get It is also expected to be used as basic data for researchers to explore new research directions.

  • The Risk Assessment of the Fire Occurrence According to Urban Facilities in Jinju-si (진주시 도시시설물별 화재발생 위험도 평가)

    • Bae, Gyu Han;Won, Tae Hong;Yoo, Hwan Hee
      • Journal of Korean Society for Geospatial Information Science
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      • v.24 no.1
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      • pp.43-50
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      • 2016
    • Urbanization in Korea has increased significantly and subsequently, various facilities have been concentrated in urban areas at high speed in accordance with a growing urban population. Accordingly, damages have occurred due to a variety of disasters. In particular, fire damage among the social disasters caused the most severe damage in urban areas along with traffic accidents. 44,432 cases of fire occurred in 2015 in Korea. Due to these accidents, 253 were killed and property damage of 4,50 billion won was generated. However, despite the efforts to reduce a variety of damage, fire danger still remains high. In this regard, this study collected fire data, generated from 2007 to 2014 through the Jinju Fire Department and the National Fire Data System(NFDS) and calculated fire risk by analyzing the clustering of fire cases and facilities in Jinju-si based on the current DB of facilities, offered by the Ministry of Government Administration and Home Affairs. As a result, the risk ratings of fire occurrence were classified as four stages under the standards of the US Society of Fire Protection Engineers(SEPE). Business facilities, entertainment facilities, and automobile facilities were classified as the highest A grade, detached houses, Apartment houses, education facilities, sales facilities, accommodation, set of facilities, medical facilities, industrial facilities, and life service facilities were classified as U grade, and other facilities were classified as EU grade. Finally, hazardous production facilities were classified as BEU grade, the lowest grade. In addition, in the case of setting the standard with loss of life, the highest risk facility was the hazardous production facilities, while in the case of setting the standard with property damage, a set of facilities and industrial facilities showed the highest risk. In this regard, this study is expected to be effectively utilized to establish the fire reduction measures against facilities, distributed in urban space by calculating risk grades regarding the generation frequency, casualties, and property damage, through the classification of fire, occurred in the city, according to the facilities.

    Study of Radiological Approach to Treat a Chronic Constipation (만성변비환자의 방사선학적 접근방법에 관한 고찰)

    • Yoon, Seok-Hwan
      • Journal of radiological science and technology
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      • v.27 no.3
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      • pp.5-12
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      • 2004
    • I. Introduction : The constipation is one of the common gastrointestinal symptoms seen in the clinical practice. When people come to the clinic complaining of the constipation, it is generally one of the cases of infrequent, painful or difficult evacuation as well as the hardened feces and unsatisfactory evacuation sense. Since the constipation is heavily influenced by dietary habit as well as the social and medical environment, the diagnostic radiology is useful to establish the objective and standardized definition in consideration of those various factors before diagnosis and treatment of the constipation patient. This paper describes the study of such diagnosis. II. Main Subject : Testing of CTT (colon transit time) is key study of the colon performance. CTT is very helpful in classifying the pathologic physiological types and defining the treatment plan for the chronic constipation. The study methods include using the radipaque marker, multiple marker technique and scintigraphic measurement. The defecography is the functional radiologic examination a that provides not only the anatomical information of anorectal but also performance of the pelvic floor and rectal change during evacuation. Study of dynamic movement of the anorectal during evacuation is helpful for diagnosis and treatment planning as well as follow-up testing for the constipation patient. One of the issues essential for the case history is the thorough observation of whether the patient shows the psychic psychological symptoms such as the behavior disorder or emotional disturbance. In that case, the decision must be made whether or which type of medication is needed for such psychiatric problem. III. Conclusion : The main causes of the constipation are insufficient intake of fiber or liquid. The key objective of such tests is to check etiology of the constipation. In general, the radiological examination does not provde the colon or anorectal performance information. It is envisaged that this study will provide the information to decide the testing and treatment plans and predict the prognosis of the patient by classifying the pathologic physiological types.

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    Survey on the Discharge Planning of Occupational Therapists (국내 작업치료사의 퇴원계획 개입에 대한 실태 조사연구)

    • Hwang, Na-Kyoung;Yoo, Eun-Young
      • Therapeutic Science for Rehabilitation
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      • v.9 no.2
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      • pp.55-71
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      • 2020
    • Objective : The purpose of this study was to investigate the necessity of occupational therapist's involvement in patient discharge planning, the areas that should be considered for discharge screening and planning, and to provide the basic data required for the development of a discharge assessment tool. Methods : We conducted an online questionnaire survey of 60 occupational therapists who were working at medical institutions and had agreed to participate in the study. The questionnaire was composed of 36 questions regarding the general characteristics of the current discharge planning process and the necessity of discharge assessment and planning. Descriptive statistics, an independent t-test, and a one-way ANOVA were conducted using SPSS 20.0. As for the post-hoc test, Scheffe's test was used. Results : The awareness of occupational therapist's role in discharge planning and the necessity of a discharge assessment tool were high, but the occupational therapist's awareness of discharge-related knowledge was low. The difficulties in discharge planning showed high response rate in the absence of adequate fee-for-service in the patient interview and assessment and the lack of team approach and appropriate assessment tools for discharge planning. The high-needs areas for evaluation during discharge were fall risk and BADL, and the low-needs areas were well-being and functional level prior to onset. Conclusion : This study is expected to provide preliminary information necessary for the development of a discharge assessment tool for effective discharge planning.

    Analysis on The Regional Industrial Growth and the Employment Effects of the First Newtown Project in Seoul Metropolitan Area (수도권 1기 신도시 지역산업의 성장과 고용효과의 변화 분석: 고양시와 성남시를 대상으로)

    • Park, So Hyun;Lee, Keumsook
      • Journal of the Economic Geographical Society of Korea
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      • v.20 no.1
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      • pp.34-48
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      • 2017
    • The purpose of this study is to investigate the growth of major industries and effects of regional employment on the economic growth of Goyang city and Seongnam city in Gyeonggi Province. We examine the structural changes of the industrial specialization and factors of the growth in two regions by applying Location Quotients and dynamic shift-share analysis respectively. Both regions have been strengthened gradually in their industrial bases during the last 20 years since they have developed as the bed-towns for Seoul with the First Newtown Project of the Metropolitan Seoul area. These two regions have secured in the industrial specialization and competitiveness compare to other regions in the Metropolitan Seoul area. In particular, knowledge service industries have been agglomerated in both regions. Goyang city have secured in the medical welfare, culture and tourism of service sectors, while Seongnam city have secured in the information service and science technology service sectors. Therefore, each region might be differentiated regional foster industries in these sectors in order to succeed the economic development.

    Study on VC Investment Improve Growth and Productivity of VC: Backed firms Focused on Kosdaq Listed Bio Venture Company (코스닥 상장 바이오벤처기업에 대한 벤처캐피탈 투자가 바이오벤처기업의 경영성과에 미치는 영향에 관한 연구)

    • Shin, Jin-O;Ha, Gyu-Soo
      • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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      • v.11 no.1
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      • pp.85-95
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      • 2016
    • Generally a venture capital aims at investment and support Venture businesses that signifies a start-up which has high technologies but frailty of the economy so that raise fund from financial agencies at high risk rate, it has high risk but when the venture businesses launch into general orbit, the venture capital guarantee high-rate profits. Venture capital do not just provide risk capital but also takes a role as a mentor for continuous growth with total consulting service at business and technical management. Also it offers in-depth support to reform the supported enterprise in order to enhance the competitive. Venture capital receives attention for years as a principal agent to be promoted strategically at national level. Bio venture, a major concern of venture capital and one of core industries in Korea, is different from other industries because it needs long-term and large scale of investment. these factors bring about difficulties in an investment and growth. Therefore, it is very important to identify growth and profitability of start-ups and small and venture businesses with long-term appreciation above all other industries. This research analyze management results of bio venture businesses empirically by investment from venture capital. according to the results, bio venture businesses need huge capital and a long gap of time, henceforth, formation of model for growth is necessary with angel investing as well as venture capital. Since, there are not many listed bio venture businesses, significant statistical result would be limited. This research studied at only economic focus but further study need to examine a question from various angles.

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