• Title/Summary/Keyword: All at once method

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High-dimensional change point detection using MOSUM-based sparse projection (MOSUM 성근 프로젝션을 이용한 고차원 시계열의 변화점 추정)

  • Kim, Moonjung;Baek, Changryong
    • The Korean Journal of Applied Statistics
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    • v.35 no.1
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    • pp.63-75
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    • 2022
  • This paper proposes the so-called MOSUM-based sparse projection method for change points detection in high-dimensional time series. Our method is inspired by Wang and Samworth (2018), however, our method improves their method in two ways. One is to find change points all at once, so it minimizes sequential error. The other is localized so that more robust to the mean changes offsetting each other. We also propose data-driven threshold selection using block wild bootstrap. A comprehensive simulation study shows that our method performs reasonably well in finite samples. We also illustrate our method to stock prices consisting of S&P 500 index, and found four change points in recent 6 years.

Incidence and Types of Unintentional Injuries among Koreans Based on the 2001 National Health and Nutrition Survey (국민건강영양조사 결과에 의한 한국인의 사고 유형 및 발생빈도)

  • Ham, Ok-Kyung;Lee, Eun-Joo
    • Journal of Korean Public Health Nursing
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    • v.21 no.1
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    • pp.95-101
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    • 2007
  • Purpose: The purpose of this study was to determine the incidence of unintentional-injury and to identify factors related to the high incidence of unintentional-injury in the community in order to provide useful data for the development of prevention and intervention programs aimed at reducing unintentional-injury incidence. Methods: This study utilized data obtained from cross-sectional national surveys conducted for the 2001 National Health and Nutrition Survey targeting 37,769 individuals aged between 0 and 99 years old, which was performed using a face-to-face interview method. Demographic characteristics, unintentional-injury experience, types of injury, and attributes of health behavior were included in the study instruments. Results: About 1.3% of the subjects had experienced unintentional injury that required hospitalization at least once during the past year. Age older than 40 years, male gender, lower education, lower income, and blue collar workers were all significantly and positively associated with increased risk of unintentional-injury. Among the health behavior variables, sleeping less than 6 hours, drunk driving, and binge drinking were significantly associated with unintentional injury, while traffic accidents and falls/slips constituted 80% of all unintentional injuries. Conclusion: Public health efforts to reduce unintentional injuries should target high-risk populations such as males, those with low income and education levels, and binge drinkers.

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The Role of Data Technologies with Machine Learning Approaches in Makkah Religious Seasons

  • Waleed Al Shehri
    • International Journal of Computer Science & Network Security
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    • v.23 no.8
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    • pp.26-32
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    • 2023
  • Hajj is a fundamental pillar of Islam that all Muslims must perform at least once in their lives. However, Umrah can be performed several times yearly, depending on people's abilities. Every year, Muslims from all over the world travel to Saudi Arabia to perform Hajj. Hajj and Umrah pilgrims face multiple issues due to the large volume of people at the same time and place during the event. Therefore, a system is needed to facilitate the people's smooth execution of Hajj and Umrah procedures. Multiple devices are already installed in Makkah, but it would be better to suggest the data architectures with the help of machine learning approaches. The proposed system analyzes the services provided to the pilgrims regarding gender, location, and foreign pilgrims. The proposed system addressed the research problem of analyzing the Hajj pilgrim dataset most effectively. In addition, Visualizations of the proposed method showed the system's performance using data architectures. Machine learning algorithms classify whether male pilgrims are more significant than female pilgrims. Several algorithms were proposed to classify the data, including logistic regression, Naive Bayes, K-nearest neighbors, decision trees, random forests, and XGBoost. The decision tree accuracy value was 62.83%, whereas K-nearest Neighbors had 62.86%; other classifiers have lower accuracy than these. The open-source dataset was analyzed using different data architectures to store the data, and then machine learning approaches were used to classify the dataset.

Radiation Dose Comparison according to Different Organ Characteristics at Same Scan Parameters Using CareDose 4D: An Adult and Pediatric Phantom Evaluation (CareDose 4D 사용 시 동일한 스캔조건에서 조직기반설정을 다르게 적용함에 따른 선량 비교: 성인과 소아팬텀 연구)

  • Kong, Hyo-Geum;Lee, Ki-Baek
    • Journal of radiological science and technology
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    • v.42 no.4
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    • pp.271-277
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    • 2019
  • CareDose 4D which is the Siemens's Automatic Exposure Control (AEC) can adjust the level of radiation dose distribution which is based on organ characteristic unlike other manufacturer's AEC. Currently, a wide scan range containing different organs is sometimes examined at once (defined as one scan). The purpose of this study was to figure out which organ characteristic option is suitable when one scan method is utilized. Two types of anthropomorphic phantoms were scanned in the same range which were from frontal bone to carina level according to three different organ characteristics such as Thorax, Abdomen, and Neck. All scans and image reconstruction parameters were equally applied and radiation dose were compared. Radiation dose with Thorax organ characteristic was lower than that with Neck. Also, that with Abdomen oran characteristic was lower than Thorax. There were significant differences in radiation dose according to different organ characteristics at the same parameters (P<0.05). Usage of Neck organ characteristic had a result of the highest radiation dose to all phantom. On the other hand, utilization of Abdomen organ characteristic showed the lowest radiation dose. As a result, it is desirable to set appropriate organ characteristic according to examined body part when you checkup patients. Also, when you implement one scan method, selection of Abdomen-based organ characteristic has reduced more radiation dose compared with two different organ characteristic.

Corrosion Behavior Optimization by Nanocoating Layer for Low Carbon Steel in Acid and Salt Media

  • Ahmed S. Abbas;Bahaa Sami Mahdi;Haider H. Abbas;F.F. Sayyid;A.M. Mustafa;Iman Adnan Annon;Yasir Muhi Abdulsahib;A.M. Resen;M. M. Hanoon;Nareen Hafidh Obaeed
    • Corrosion Science and Technology
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    • v.22 no.1
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    • pp.21-29
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    • 2023
  • In this paper, a SiC nano electroless nickel plating layer with excellent corrosion resistance was fabricated using the Taguchi method. The electroless plated low carbon steel was subjected to tests to examine the influence of corrosive media, microhardness, and corrosion rate on the corrosion resistance of this alloy. Three different corrosive media (HCl, Na2SO4, and NaCl) at various temperatures (80, 90, and 100 ℃) were used, and at three different times (40, 80, and 120 min.) with a speed of stirring equal to 500 rpm. The results of microhardness were found from 134.276 HV to 278.578 HV at various conditions, while the corrosion rate results were obtained from 0.89643 mpy to 7.12571 mpy at different circumstances. Corrosion, and mechanical characteristics were explained using Taguchi design. Taguchi technique was used to account for all possible combinations of elements in order to conduct a complete study. Models that link the response and procedure parameters were developed using the results of these tests, and the analysis of variance was utilized to validate these models (ANOVA). For maximum efficiency, a function called "desirability" was applied to all responses at once.

Vocabulary Education for Korean Beginner Level Using PWIM (PWIM 활용 한국어 초급 어휘교육)

  • Cheng, Yeun sook;Lee, Byung woon
    • Journal of Korean language education
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    • v.29 no.3
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    • pp.325-344
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    • 2018
  • The purpose of this study is to summarize PWIM (Picture Words Inductive Model) which is one of learner-centered vocabulary teaching-learning models, and suggest ways to implement them in Korean language education. The pictures that are used in the Korean language education field help visualize the specific shape, color, and texture of the vocabulary that is the learning target; thus, helping beginner learners to recognize the meaning of the sound. Visual material stimulates the intrinsic schema of the learner and not only becomes a 'bridge' connecting the mother tongue and the Korean language, but also reduces difficulty in learning a foreign language because of the ambiguity between meaning and sound in Korean and all languages. PWIM shows commonality with existing learning methods in that it uses visual materials. However, in the past, the teacher-centered learning method has only imitated the teacher because the teacher showed a piece-wise, out-of-life photograph and taught the word. PWIM is a learner-centered learning method that stimulates learners to find vocabulary on their own by presenting visual information reflecting the context. In this paper, PWIM is more suitable for beginner learners who are learning specific concrete vocabulary such as personal identity (mainly objects), residence and environment, daily life, shopping, health, climate, and traffic. The purpose of this study was to develop a method of using PWIM suitable for Korean language learners and teaching procedures. The researchers rearranged the previous research into three steps: brainstorming and word organization, generalization of semantic and morphological rules of extracted words, and application of words. In the case of PWIM, you can go through all three steps at once. Otherwise, it is possible to divide the three steps of PWIM and teach at different times. It is expected that teachers and learners using the PWIM teaching-learning method, which uses realistic visual materials, will enable making an effective class together.

Dieticians' Perception of Current Status of No-plate-waste Day in School Lunch (학교급식에서 잔반없는날 실시 현황과 영양사의 인식)

  • Yoon, Meesoon;Song, Kyunghee;Lee, Hongmie
    • Journal of the Korean Dietetic Association
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    • v.20 no.4
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    • pp.275-284
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    • 2014
  • Reducing plate-waste for school lunches is an important strategy to guarantee adequate nutrition intakes by students as well as to protect the environment. This study was conducted to determine dieticians' perception of no-plate-waste day. The subjects were dieticians at 203 schools in Seoul and Kyeonggi-do. Among them, 132 schools (78.6%) operated no-plate-waste day once a week, 6.9% once a month, 10.8% twice a week, whereas 17.2% did not operate at all. According to dieticians, plate-waste per student on no-plate-waste day (mean 49.1 g) was lower than that on an ordinary day (mean 79.2 g). The most popular method to advertise no-plate-waste day was to notify it on the menu board (52.4%), followed by notifying it on the dining hall and the school website. The most frequently used reward on no-plate-waste day was a gift snack (67.3%), followed by complimentary stickers, awards, and GPA. The most common side effect of no-plate-waste day was students' abandoning foods (45.2%), followed by rejecting food and simplified menu. The most frequent barrier was insufficient recognition of necessity (39.3%), followed by shortage of manpower or budget and students and teachers' resistance. The dieticians at 35 schools without no-plate-waste day answered that they did not operate it due to 'no need perceived' and 'no budget' (31.4% and 31.4%, respectively). Based on this study, government and society should promote the need to reduce plate-waste by students and teachers as well as school administrators.

FEA based optimization of semi-submersible floater considering buckling and yield strength

  • Jang, Beom-Seon;Kim, Jae Dong;Park, Tae-Yoon;Jeon, Sang Bae
    • International Journal of Naval Architecture and Ocean Engineering
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    • v.11 no.1
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    • pp.82-96
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    • 2019
  • A semi-submersible structure has been widely used for offshore drilling and production of oil and gas. The small water plane area makes the structure very sensitive to weight increase in terms of payload and stability. Therefore, it is necessary to lighten the substructure from the early design stage. This study aims at an optimization of hull structure based on a sophisticated yield and buckling strength in accordance with classification rules. An in-house strength assessment system is developed to automate the procedure such as a generation of buckling panels, a collection of required panel information, automatic buckling and yield check and so on. The developed system enables an automatic yield and buckling strength check of all panels composing the hull structure at each iteration of the optimization. Design variables are plate thickness and stiffener section profiles. In order to overcome the difficulty of large number of design variables and the computational burden of FE analysis, various methods are proposed. The steepest descent method is selected as the optimization algorithm for an efficient search. For a reduction of the number of design variables and a direct application to practical design, the stiffener section variable is determined by selecting one from a pre-defined standard library. Plate thickness is also discretized at 0.5t interval. The number of FE analysis is reduced by using equations to analytically estimating the stress changes in gradient calculation and line search steps. As an endeavor to robust optimization, the number of design variables to be simultaneously optimized is divided by grouping the scantling variables by the plane. A sequential optimization is performed group by group. As a verification example, a central column of a semi-submersible structure is optimized and compared with a conventional optimization of all design variables at once.

Shrinkage Model Selection for Portfolio Optimization on Vietnam Stock Market

  • NGUYEN, Nhat;NGUYEN, Trung;TRAN, Tuan;MAI, An
    • The Journal of Asian Finance, Economics and Business
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    • v.7 no.9
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    • pp.135-145
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    • 2020
  • This paper provides the practical application of a linear shrinkage framework on Vietnam stock market. The cumulative data points observed in this analysis are 468 weeks from January 2011 to December 2019. All the companies listed on Ho Chi Minh City Stock Exchange (HOSE), except the companies under two years period from Initial Public Offering (IPO), are considered. The cumulative number of stocks picked is therefore 350 companies. The VNINDEX, which is the Vietnam Stock Index, is used as a reference index for shrinking to a single-index model. The empirical results show that the shrinkage of covariance matrix for portfolio optimization gives the promising results for the investors on Vietnam stock market. The shrinkage method helps the investors to produce the optimal portfolio in the sense of having higher profit with lower levels of risk compared to the portfolio of the traditional SCM method. Moreover, the portfolio turnover of shrinkage method is always kept at low magnitudes, and this makes the shrinkage portfolios save much transaction costs and reduce the liquidity risks in the trading process. In addition, the ability of shrinkage method in making profit is once again confirmed by the Alpha coefficient that achieves a high positive value.

A Combined Greedy Neighbor Generation Method of Local Search for the Traveling Salesman Problem

  • Yongho Kim;Junha Hwang
    • Journal of the Korea Society of Computer and Information
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    • v.29 no.4
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    • pp.1-8
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    • 2024
  • The traveling salesman problem(TSP) is one of the well known combinatorial optimization problems. Local search has been used as a method to solve TSP. Greedy Random Insertion(GRI) is known as an effective neighbor generation method for local search. GRI selects some cities from the current solution randomly and inserts them one by one into the best position of the current partial solution considering only one city at a time. We first propose another greedy neighbor generation method which is named Full Greedy Insertion(FGI). FGI determines insertion location one by one like GRI, but considers all remaining cities at once. And then we propose a method to combine GRI with FGI, in which GRI or FGI is randomly selected and executed at each iteration in simulated annealing. According to the experimental results, FGI alone does not necessarily perform very well. However, we confirmed that the combined method outperforms the existing local search methods including GRI.