• Title/Summary/Keyword: Data-Hold Method

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Performance Analyses of Instruction Fetch Models Considering Cache Miss and Branch Misprediction (캐쉬 미스와 분기예측 실패를 고려한 명령어 페치 모델의 성능분석)

  • Kim, Seon-Mo;Jeong, Jin-Ha;Choe, Sang-Bang
    • Journal of KIISE:Computer Systems and Theory
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    • v.28 no.12
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    • pp.685-697
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    • 2001
  • Cache memories are small fast memories used to temporarily hold the contents of main memory that are likely to be referenced by processors so as to reduce instruction and data access time. In this paper, we represent analytical models of instruction fetch process for four types of instruction cache structures that can be used for superscalar processors. In the models, we define various kinds of architectural parameters and take cache miss and branch misprediction into consideration. To prove the correctness of the proposed models, we performed extensive simulations and compared the results with the analytical models. Simulation results showed that the proposed model can estimate the instruction fetch rate accurately within 10% error in most cases. Both analytical model and simulation show that the increase of cache misses reduces the instruction fetch rate more severely than that of branch misprediction does. However, the analytical model can explain the causes of performance degradation which cannot be uncovered by the simulation method only. The model is also able to provide exact relationship between cache miss and branch misprediction for instruction fetch analysis.

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The study of stress, satisfaction and the frequency of performing of Dental hygiene students to clinical training (일부 지역 치위생과 학생의 임상실습에 대한 수행빈도, 만족도 및 스트레스에 관한 연구)

  • Park, Young-Nam;Yoon, Sung-Uk;Lee, Kyeong-hee
    • Journal of Digital Convergence
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    • v.14 no.9
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    • pp.359-367
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    • 2016
  • This study will be used as basic data to hold clinical training effective by researching and analyzing frequency, satisfaction and stress for the clinical practice of dental hygiene course students. The survey was undergone from Feb. 1, 2014 to Mar. 31 for 219 dental hygiene course juniors who had experienced clinical training in 3 year colleges located in Daejeon and Chungcheong Province. From the study, general and university hospital holds the highest satisfaction in clinical practice and dental offices in acquiring skills. Also, a significant difference is shown between the frequency and satisfaction according to clinical training sheets. The highest degree of stress is shown in dental offices for 'toothbrushing training and dental health education' and in general and university hospital for 'patient counselling'. Therefore, consideration should be made to establish the direction of education, standard criteria and evaluation method for student clinical training to raise its effectiveness.

Characteristics and Combined Sewer Overflows (합류식 하수관거의 유출 특성 분석 조사)

  • An, Ki-Sun;Jang, Sung-Ryong;Kwon, Young-Ho
    • Journal of Environmental Science International
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    • v.19 no.6
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    • pp.747-753
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    • 2010
  • It follows in quality and sewage exclusion method of the investigation objective sector and the Combined Sewer Overflows which is suitable in regional characteristics and the confluence area against the rainfall initially a flow and the medulla and measurement - it analyzes the initial rainfall outflow possibility control plan which is suitable in the domestic actual condition and it proposes the monitor ring plan for the long-term flow and pollution load data accumulation. From the research which it sees the Infiltration water/Influent water and CSOs investigation it passes by the phase of hazard chain and Namwon right time 4 it does not hold reverse under selecting, Measurement it used the hazard automatic flow joint seal Sigma 910 machine and in case 15 minute interval of the I/I, it measured a flow at case 5, 15 minute standing of the CSOs. The water quality investigation for the water leakage investigation of the I/I and the sewage from the point which is identical with flow measurement during on-the-spot inspection duration against 6 items which include the BOD sampling and an analysis, when the rainfall analysis for CSOs fundamental investigation analyzed against 18 items which include the BOD sampling. Consequently, for the optimum interpretation invasion water / inflow water of the this investigation area day average the lowest flow - water quality assessment veterinarian optimum interpretation hazard average per day - lowest flow - it averages a medulla evaluation law department one lowest flow evaluation technique and it selects, it presentation collectively from here it gets, position result with base flow analysis of invasion water / inflow water.

Phenomenological Study on the Emotional Experience of Married Migrant Women (결혼이주여성의 정서적 경험에 관한 현상학적 연구)

  • Cho, Mi Jin;Kim, Hyun Jin
    • The Journal of the Convergence on Culture Technology
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    • v.6 no.1
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    • pp.191-199
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    • 2020
  • The purpose of this study is to investigate in depth the emotional experiences experienced by marriage migrant women. To this end, in-depth interviews were conducted with three Korean migrant women who could speak Korean. Collected data were analyzed by Giorgi's phenomenological research method. Research shows that 'parents are comfortable, trying to live more actively', 'because they are faithful to their homes because of their husband's support', 'being emotionally comforted and living more positively', 'joy of experiencing God's help' Reconciled to being emotionally resilient and well-to-be with their husbands and those around them,' 'does not hold family work due to emotional anxiety', 'resulting in resentment and conflict between them and their husbands.' Eight categories of were derived. The results of the study on the emotional experience of marriage immigrant women show that they have laid the foundation for them to adapt and live emotionally well.

A Conception Analysis on Reproduction and Inheritance of Elementary Preservice Teachers (예비초등교사들의 생식 및 유전에 관한 개념 분석)

  • Hong Seung-Ho
    • Journal of Korean Elementary Science Education
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    • v.24 no.4
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    • pp.351-359
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    • 2005
  • The aims of this research are to analyze elementary preservice teacher's conception and causes of their misconceptions on biological reproduction and inheritance. In future, it would be also to provide useful data for the effective teaching-teaming method in the elementary school as well as opportunities to correct their misconceptions, which help elementary preservice teachers have the appropriate scientific conceptions. Thirty kinds of test questions were designed in science curriculum for elementary students and biology textbook for university students in order to develop reproduction and inheritance's concepts. The questionnaire was given to 166 junior students of university of education in a local city. All statistical analysis was performed using SPSS version 10.0 program. The major results are as follows: Among 30 test questions, 2 questions in plants, 5 questions in animals and 2 questions in gene were appeared as misconceptions over $50\%$. The major reason to hold the misconceptions was influenced by 'learning up to now' category. The selection reasons of response were significantly different between scientific conceptions and misconceptions in 10 questions by analysis of variance. The gender also showed statistically significant differences between scientific conception and misconception in 3 questions by $\chi^2$ test. The selection reasons according to gender were significantly different between male and female students in 5 questions. For the reasons in forming misconceptions, they may cause by stereotype, conscious priority, differences of experiences, interest or attention, lack of professional Knowledge, and so on. Therefore, it was concluded that this research may help elementary preservice teachers to reconsider their conception for reproduction and inheritance and to be successful in science instructions fur elementary students.

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Does Disposition Effect Appear on Investor Decision During the COVID-19 Pandemic Era: Empirical Evidence from Indonesia

  • ASNAWI, Said Kelana;SIAGIAN, Dergibson;ALZAH, Salam Fadillah;HALIM, Indra
    • The Journal of Asian Finance, Economics and Business
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    • v.9 no.4
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    • pp.53-62
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    • 2022
  • Disposition Effect (DE) is one of the many investment biases, wherein the investors sell the profitable stocks rather quickly and they tend to hold on the loss making stocks. Various factors related to the DE are the character of investors applying risk management which is also influenced by the social media, Salient Shock (COVID-19), and in the specific case of Indonesia, the phenomenon of rumor stocks wherein the price can rise as much as up to 8500%. The study aims to provide empirical evidence regarding the DE with specific explanatory factors, namely investor behavior and rumors. Data was obtained through a questionnaire sent to 248 Indonesian Stock Exchange Investors (IDX) during the period October-November 2021 by using Ordinary Least Square (OLS) method. The results show: Generation Z, women, and investors with a low education has a greater DE, risk-takers tend to have lower DE, and professionals have negative DE. Implementation of risk management will reduce DE. Social Media and the COVID-19 situation positively affect DE. Especially on stock rumors, there is evidence that investors who own rumor stocks will have a low DE. The results indicate the need for: (i) risk management, especially for Z Generation, women and low education Investors, (ii) to provide positive information so that information on social media can be responded to positively.

Research on Tourist Perception of Grand Canal Cultural Heritage Based on Network Text Analysis : The Pingjiang Historical and Cultural District of Suzhou City as an example (네트워크 텍스트 분석을 통한 대운하 문화유산에 대한 관광객 인식 연구 : 쑤저우시 핑장역사문화지구의 예)

  • Chengkang Zheng;Qiwei Jing;Nam Kyung Hyeon
    • Journal of Intelligence and Information Systems
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    • v.29 no.1
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    • pp.215-231
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    • 2023
  • Taking Pingjiang historical and cultural block in Suzhou as an example, this paper collects 1436 tourist comment data from Ctrip. com with Python technology, and uses network text analysis method to analyze frequency words, semantic network and emotion, so as to evaluate the tourist perception characteristics and levels of the Grand Canal cultural heritage. The study found that: natural and humanistic landscapes, historical and cultural deposits, and the style of the Jiangnan Canal are fully reflected in the perception of visitors to the Pingjiang Historical and Cultural District; Tourists hold strong positive emotions towards the Pingjiang Road historical and cultural district, however, there is still more space for the transformation and upgrading of the district. Finally,suggestions for measures to improve the perception of tourists of the Grand Canal cultural heritage are given in terms of conservation first, cultural integration and innovative utilization.

A Study on Predictive Modeling of I-131 Radioactivity Based on Machine Learning (머신러닝 기반 고용량 I-131의 용량 예측 모델에 관한 연구)

  • Yeon-Wook You;Chung-Wun Lee;Jung-Soo Kim
    • Journal of radiological science and technology
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    • v.46 no.2
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    • pp.131-139
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    • 2023
  • High-dose I-131 used for the treatment of thyroid cancer causes localized exposure among radiology technologists handling it. There is a delay between the calibration date and when the dose of I-131 is administered to a patient. Therefore, it is necessary to directly measure the radioactivity of the administered dose using a dose calibrator. In this study, we attempted to apply machine learning modeling to measured external dose rates from shielded I-131 in order to predict their radioactivity. External dose rates were measured at 1 m, 0.3 m, and 0.1 m distances from a shielded container with the I-131, with a total of 868 sets of measurements taken. For the modeling process, we utilized the hold-out method to partition the data with a 7:3 ratio (609 for the training set:259 for the test set). For the machine learning algorithms, we chose linear regression, decision tree, random forest and XGBoost. To evaluate the models, we calculated root mean square error (RMSE), mean square error (MSE), and mean absolute error (MAE) to evaluate accuracy and R2 to evaluate explanatory power. Evaluation results are as follows. Linear regression (RMSE 268.15, MSE 71901.87, MAE 231.68, R2 0.92), decision tree (RMSE 108.89, MSE 11856.92, MAE 19.24, R2 0.99), random forest (RMSE 8.89, MSE 79.10, MAE 6.55, R2 0.99), XGBoost (RMSE 10.21, MSE 104.22, MAE 7.68, R2 0.99). The random forest model achieved the highest predictive ability. Improving the model's performance in the future is expected to contribute to lowering exposure among radiology technologists.

Short- and Long-Term Effects of Stock Split Disclosure: Exploring Determinants (주식분할 공시에 대한 장·단기 효과: 결정요인 분석을 중심으로)

  • Jin-Hwon Lee;Kyung-Soon Kim
    • Asia-Pacific Journal of Business
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    • v.14 no.1
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    • pp.73-91
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    • 2023
  • Purpose - The purpose of this study is to re-examine the disclosure effect of stock splits and long-term performance after stock splits using stock split data over the past 10 years, and infer the motivation (signal or opportunism) of stock splits. In addition, we focus on exploring the determinants of the short- and long-term market response to stock splits. Design/methodology/approach - We measure the short-term market response to a stock split and the long-term stock performance after the stock split announcement using the event study method. We analyze whether there is a difference in the long-term and short-term market response to a stock split according to various company characteristics through univariate analysis and regression analysis. Findings - In the case of the entire sample, a statistically significant positive excess return is observed on the stock split announcement date, and the excess return during the 24-month holding period after the stock split do not show a difference from zero. In particular, the difference between short-term and long-term returns on stock splits is larger in companies with a large stock split ratio, small companies, large growth potential, and companies with a combination of financial events after a stock split. Research implications or Originality - The results of this study suggest that at least the signal hypothesis for a stock split does not hold in the Korean stock market. On the other hand, it suggests that there is a possibility that a stock split can be abused by the manager's opportunistic motive, and that this opportunism can be discriminated depending on the size of the stock split, corporate characteristics, and financing plan.

Prognostic Value of an Immune Long Non-Coding RNA Signature in Liver Hepatocellular Carcinoma

  • Rui Kong;Nan Wang;Chun li Zhou;Jie Lu
    • Journal of Microbiology and Biotechnology
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    • v.34 no.4
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    • pp.958-968
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    • 2024
  • In recent years, there has been a growing recognition of the important role that long non-coding RNAs (lncRNAs) play in the immunological process of hepatocellular carcinoma (LIHC). An increasing number of studies have shown that certain lncRNAs hold great potential as viable options for diagnosis and treatment in clinical practice. The primary objective of our investigation was to devise an immune lncRNA profile to explore the significance of immune-associated lncRNAs in the accurate diagnosis and prognosis of LIHC. Gene expression profiles of LIHC samples obtained from TCGA database were screened for immune-related genes. The optimal immune-related lncRNA signature was built via correlational analysis, univariate and multivariate Cox analysis. Then, the Kaplan-Meier plot, ROC curve, clinical analysis, gene set enrichment analysis, and principal component analysis were performed to evaluate the capability of the immune lncRNA signature as a prognostic indicator. Six long non-coding RNAs were identified via correlation analysis and Cox regression analysis considering their interactions with immune genes. Subsequently, tumor samples were categorized into two distinct risk groups based on different clinical outcomes. Stratification analysis indicated that the prognostic ability of this signature acted as an independent factor. The Kaplan-Meier method was employed to conduct survival analysis, results showed a significant difference between the two risk groups. The predictive performance of this signature was validated by principal component analysis (PCA). Additionally, data obtained from gene set enrichment analysis (GSEA) revealed several potential biological processes in which these biomarkers may be involved. To summarize, this study demonstrated that this six-lncRNA signature could be identified as a potential factor that can independently predict the prognosis of LIHC patients.