• KIISE Transactions on Computing Practices
• /
• v.22 no.10
• /
• pp.479-487
• /
• 2016

People can listen to almost every type of music by music streaming services without possessing music. Ironically it is difficult to choose what to listen to. A music recommendation system helps people in making a choice. However, existing recommendation systems have high computation complexity and do not consider context information. Emotion is one of the most important context information of music. Lyrics can be easily computed with various language processing techniques and can even be used to extract emotion of music from itself. We suggest a music-level similarity evaluation method using emotion and structure. Our result shows that it is important to consider semantic information when we evaluate similarity of music.

• Asian Pacific Journal of Cancer Prevention
• /
• v.15 no.18
• /
• pp.7665-7671
• /
• 2014

Objectives: The association between body mass index (BMI) and ovarian cancer risk is unclear and requires further investigation. The present meta-analysis was conducted to assess the effect of overweight and obesity on ovarian cancer risk in the premenopausal and postmenopausal periods. Data sources: Major electronic databases were searched until February 2014 including Medline and Scopus. Reference lists and relevant conference databases were searched and the authors were contacted for additional unpublished references. Review Methods: All cohort and case-control studies addressing the effect of BMI on ovarian cancer were included, irrespective of publication date and language. The effect measure of choice was risk ratio (RR) for cohort studies and odds ratio (OR) for case-control studies. The results were reported using a random effects model with 95% confidence intervals (CIs). Results: Of 3,776 retrieved studies, 19 were ultimately analyzed including 10 cohort studies involving 29,237,219 person-years and 9 case-control studies involving 96,965 people. The results of both cohort and case-control studies showed being overweight and obesity increased the risk of ovarian cancer compared to women with normal weight during both premenopausal and postmenopausal periods: RR=1.08 (95%CI: 0.97, 1.19) and OR=1.26 (95%CI: 0.97, 1.63) for overweight and RR=1.27 (95%CI: 1.16, 1.38) and OR=1.26 (95%CI: 1.06, 1.50) for obesity. Conclusions: There is sufficient evidence that an increase in BMI can increase the risk of ovarian cancer regardless of the menopausal status, mimicking a dose-response relationship although the association is not very strong.

• Asian Pacific Journal of Cancer Prevention
• /
• v.16 no.14
• /
• pp.5817-5822
• /
• 2015

The developing countries have higher mortality rates for breast cancer. A reason for this is presentation at advanced stages due to low levels of public awareness. Activities are arranged by health authorities of developing countries to increase the knowledge of women but their effectiveness has not been evaluated in detail. A multiple choice questionnaire with questions about socio-demographic profile and questions about breast cancer knowledge was designed in local language Urdu, to evaluate the knowledge of the participants before and after an audio visual educational activity in Lahore, Pakistan. Scores of 0-2, 3-5 and 6-8 were ranked as poor, fair and good, respectively. Among 146 participants these scores were achieved by 1%, 55% and 45% before activity and 0%, 16% and 84% after the activity. Overall 66% of participants increased their knowledge score. Younger age, higher education, reliance on television as source of information and being a housewife were associated with better impact of the awareness activity. For the six knowledge related questions 3%, 5%, 11%, 23%, 33% and 44% more participants gave correct answers after the activity. However 6% and 7% fewer participants answered correctly for 2 questions related to the cause and the best prevention for breast cancer. The study indicated that awareness activities are effective to increase the knowledge of women and better impact is associated with higher education and younger age of women. The component analysis showed that the questions and related presentations using medical terms have a negative impact and should not therefore be used. Analysis of activity therefore leads to identification of deficiencies which can be remedied in future.

• International Journal of High-Rise Buildings
• /
• v.7 no.2
• /
• pp.145-151
• /
• 2018

Newly-designed high-rise buildings, both in China and abroad, have demonstrated new innovations from the creative concept to the creative method. from the creative concept to the creative method. At the same time, digital technology has enabled more design freedom in the vertical dimension. "Twisting" has gradually become the morphological choice of many city landmark buildings in recent years. The form seems more likely to be driven by the interaction of aesthetics and structural engineering. Environmental performance is often a secondary consideration; it is typically not simulated until the evaluation phase. Based on the research results of "DigitalFUTURE Shanghai 2017 Workshop - Wind Tunnel Visualization", an approach that can be employed by architects to design environmental-performance buildings during the early stages has been explored. The integration of a dynamic form-finding approach (DFFA) and programming transforms the complex relationship between architecture and environment into a dialogue of computer language and dynamic models. It allows the design to focus on the relationship between morphology and the surrounding environment, and is not limited to the envelope form itself. This new concept of DFFA in this research consists of three elements: 1) architectural form; 2) integration of wind tunnel and dynamic models; and 3) environmental response. The concept of wind tunnel testing integrated with a dynamic model fundamentally abandons the functional definition of the traditional static environment simulation analysis. Instead it is driven by integral environmental performance as the basic starting point of morphological generation.

• The Transactions of the Korea Information Processing Society
• /
• v.7 no.11S
• /
• pp.3603-3612
• /
• 2000

This paper presents is for the design and implementation of EDI document exchange system based on XML To create a customized document of the users' choice, it designed and created the transaction processor and the template manager, and to make it accessable with the original EDI, a converter function is included, Also, on this system, this protocol stores EDI message structure that needed to exchange as XML format and controls it as DOM API for user can use previous system, And provides interface for user can create template files with converter and transfer necessary elements that can be chosen by user. For this purpose, This system proposes a shows structure information and document converting mechanism solution of EDI documents based on by using XML which does not show proper document conversion mechanism solution in other system so far.

• Journal of Chest Surgery
• /
• v.39 no.4 s.261
• /
• pp.340-342
• /
• 2006

Primary sternal osteomyelitis is a rare disease. Primary sternal osteomyelitis occurring during childhood is extremely rare; therefore, only eleven cases have been reported in the English language literatures. The predisposing factors of primary sternal osteomyelitis are malnutrition, immune deficiency, intravenous injection, blunt chest trauma, and sickle cell anemia. Drainage of pus with antibiotic therapy is the treatment of choice. We report a case of primary sternal osteomyelitis occurred in a 16-year old boy, who had no predisposing factors, with review of literatures.

• Journal of rehabilitation welfare engineering & assistive technology
• /
• v.8 no.2
• /
• pp.139-144
• /
• 2014

Speech discrimination is affected by the speed of speech. The speed of speech can be adjusted at the pause duration, the pause duration can take the resting time to avoid in overloading information. The study will be examine the effects of aging and audiological rehabilitation, and the auditory processing as basic research to investigate the normative data. 7 boys and 8 girls were participated. They have no problem with speech language pathologically and audiologically. There are 4 sets of test implement, and each test set was made out with 20 3-syllable words. Pause duration of all of these words are adjusted in normal(250 ms), slow(500 ms) and very slow(1000 ms). There are 4 words for a multiple-choice that including one word with written correctly and three words with written 1 phoneme wrong. Participant hear the word, and then have to choose one. Speech discrimination score in 250, 500, 1,000 ms of pause duration were $73{\pm}19.4%$, $84{\pm}12.2%$, $88{\pm}8.8%$, respectively.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.23 no.7
• /
• pp.757-763
• /
• 2019

Youtube has become so popular that it is called the age of YouTube. As the number of users and contents increase, the choice of information increases. However, it is difficult to select information that meets the needs of users. YouTube provides recommendations based on their watch list. Therefore, in this study, we want to analyze the channel of user's subject in various angles and provide the proposed scheme based on the crawled channels, measurement of the perception of channels and channel videos through quantitative data and hidden qualitative data analysis. Based on the above two data analysis, it is possible to know the recognition of the channel and the recognition of the channel video, thereby providing a ranking of the channels that deal with the topic. Finally, as a case study, we recommend English learning channels to users based on numerical data statistics and emotional analysis results to maximize flipped learning effect regardless of time and space.

• Journal of The Korean Association of Information Education
• /
• v.23 no.1
• /
• pp.1-8
• /
• 2019

In order to provide basic data necessary for developing a curriculum to enhance SW education for elementary school teacher students, a questionnaire survey was conducted on 1,260 students at G National University of Education. The results are summarized as follows. First, it is necessary to improve class time of SW education for the college students and revise the SW curriculum to improve SW education capacity for teacher students. Second, in the liberal arts course, it is necessary to develop the teaching and learning materials and the textbooks using various software. Third, in the major course, the Subject Pedagogy programs should be expanded rather than the subject content programs. Fourth, in the specialization course, the programming language education focusing on the Entry and EPL should be strengthened so that it can be linked with the elementary school curriculum. In addition, it is necessary to expand the choice of subjects for the students by reducing the number of required courses and increasing the number of elective courses.

• International Journal of Advanced Culture Technology
• /
• v.8 no.4
• /
• pp.167-176
• /
• 2020

Recommendation Systems is the top requirements for many people and researchers for the need required by them with the proper suggestion with their personal indeed, sorting and suggesting doctor to the patient. Most of the rating prediction in recommendation systems are based on patient's feedback with their information regarding their treatment. Patient's preferences will be based on the historical behaviour of similar patients. The similarity between the patients is generally measured by the patient's feedback with the information about the doctor with the treatment methods with their success rate. This paper presents a new method of predicting Top Ranked Doctor's in recommendation systems. The proposed Recommendation system starts by identifying the similar doctor based on the patients' health requirements and cluster them using K-Means Efficient Clustering. Our proposed K-Means Clustering with Content Based Doctor Recommendation for Cancer (KMC-CBD) helps users to find an optimal solution. The core component of KMC-CBD Recommended system suggests patients with top recommended doctors similar to the other patients who already treated with that doctor and supports the choice of the doctor and the hospital for the patient requirements and their health condition. The recommendation System first computes K-Means Clustering is an unsupervised learning among Doctors according to their profile and list the Doctors according to their Medical profile. Then the Content based doctor recommendation System generates a Top rated list of doctors for the given patient profile by exploiting health data shared by the crowd internet community. Patients can find the most similar patients, so that they can analyze how they are treated for the similar diseases, and they can send and receive suggestions to solve their health issues. In order to the improve Recommendation system efficiency, the patient can express their health information by a natural-language sentence. The Recommendation system analyze and identifies the most relevant medical area for that specific case and uses this information for the recommendation task. Provided by users as well as the recommended system to suggest the right doctors for a specific health problem. Our proposed system is implemented in Python with necessary functions and dataset.