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Analysis of Research Trends in Deep Learning-Based Video Captioning (딥러닝 기반 비디오 캡셔닝의 연구동향 분석)

  • Lyu Zhi;Eunju Lee;Youngsoo Kim
    • KIPS Transactions on Software and Data Engineering
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    • v.13 no.1
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    • pp.35-49
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    • 2024
  • Video captioning technology, as a significant outcome of the integration between computer vision and natural language processing, has emerged as a key research direction in the field of artificial intelligence. This technology aims to achieve automatic understanding and language expression of video content, enabling computers to transform visual information in videos into textual form. This paper provides an initial analysis of the research trends in deep learning-based video captioning and categorizes them into four main groups: CNN-RNN-based Model, RNN-RNN-based Model, Multimodal-based Model, and Transformer-based Model, and explain the concept of each video captioning model. The features, pros and cons were discussed. This paper lists commonly used datasets and performance evaluation methods in the video captioning field. The dataset encompasses diverse domains and scenarios, offering extensive resources for the training and validation of video captioning models. The model performance evaluation method mentions major evaluation indicators and provides practical references for researchers to evaluate model performance from various angles. Finally, as future research tasks for video captioning, there are major challenges that need to be continuously improved, such as maintaining temporal consistency and accurate description of dynamic scenes, which increase the complexity in real-world applications, and new tasks that need to be studied are presented such as temporal relationship modeling and multimodal data integration.

The Workflow for Computational Analysis of Single-cell RNA-sequencing Data (단일 세포 RNA 시퀀싱 데이터에 대한 컴퓨터 분석의 작업과정)

  • Sung-Hun WOO;Byung Chul JUNG
    • Korean Journal of Clinical Laboratory Science
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    • v.56 no.1
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    • pp.10-20
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    • 2024
  • RNA-sequencing (RNA-seq) is a technique used for providing global patterns of transcriptomes in samples. However, it can only provide the average gene expression across cells and does not address the heterogeneity within the samples. The advances in single-cell RNA sequencing (scRNA-seq) technology have revolutionized our understanding of heterogeneity and the dynamics of gene expression at the single-cell level. For example, scRNA-seq allows us to identify the cell types in complex tissues, which can provide information regarding the alteration of the cell population by perturbations, such as genetic modification. Since its initial introduction, scRNA-seq has rapidly become popular, leading to the development of a huge number of bioinformatic tools. However, the analysis of the big dataset generated from scRNA-seq requires a general understanding of the preprocessing of the dataset and a variety of analytical techniques. Here, we present an overview of the workflow involved in analyzing the scRNA-seq dataset. First, we describe the preprocessing of the dataset, including quality control, normalization, and dimensionality reduction. Then, we introduce the downstream analysis provided with the most commonly used computational packages. This review aims to provide a workflow guideline for new researchers interested in this field.

Analysis of biodiversity change trend on urban development project - Focusing on terrestrial species in Environmental Impact Assessment - (도시의 개발 사업에 따른 생물다양성 변화 추세 분석 - 환경영향평가의 육상 동물종을 중심으로 -)

  • Kim, Eun-Sub;Lee, Dong-Kun;Jeon, Yoon-Ho;Choi, Ji-Young;Kim, Shin-Woo;Hwang, Hye-Mi;Kim, Da-Seul;Moon, Hyun-Bin;Bae, Ji-Ho
    • Journal of the Korean Society of Environmental Restoration Technology
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    • v.26 no.6
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    • pp.21-32
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    • 2023
  • The Environmental Impact Assessment (EIA) plays a pivotal role in predicting the potential environmental impacts of proposed developments and planning appropriate mitigation measures to minimize effects on species. However, as concerns over biodiversity loss rise, there's ongoing debate about the efficacy of these mitigation plans. In this study, we utilized data from EIAs and post-environmental impact surveys to understand the trends in biodiversity during construction and operation phases. By examining 30 urban development projects, we categorized species richness indices of mammals, birds, amphibians, and reptiles into pre-construction, during construction, and post-construction operational stages. The biodiversity trends were analyzed based on the rate of change in these indices. The results revealed three distinct biodiversity change patterns: (A) An initial increase in biodiversity indices post-development, followed by a gradual decline over time; (B) a sustained increase in biodiversity as a result of mitigation measures; and (C) a continuous decline in biodiversity post-development. Furthermore, all species exhibited a higher rate of biodiversity decline during the construction phase compared to the operational phase, with mammals showing the most significant rate of change. Notably, the biodiversity change rate during operation was generally lower than during construction. In particular, mammals seemed to be most influenced by mitigation measures, displaying the smallest rate of change. This study provides empirical evidence on the efficacy of mitigation measures and deliberates on ways to enhance their effectiveness in minimizing the adverse impacts of urban development on biodiversity. These findings can serve as foundational data for addressing terrestrial biodiversity reduction.

A Study on the Development of AI Utilization Guide Components at a Christian University (기독교대학의 AI활용가이드 구성요소 개발 연구)

  • Sungwon Kam;Minho Kim
    • Journal of Christian Education in Korea
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    • v.77
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    • pp.171-201
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    • 2024
  • Purpose of Research : Since ChatGPT's 2022 release, the educational sector faces mixed reactions to generative AI, sparking innovation but raising concerns about student cognition and communication. While Christian colleges employ AI reflecting their values, secular institutions stress ethical usage. This study explores ethical AI use in these settings, aiming to integrate findings into educational practices. Research content and method : Analyzing AI use and ethics guidelines from 50 domestic and international universities, differences between Christian and secular institutions were explored. Data was categorized, conceptualized via open coding, and components were identified through axial coding. The importance of components for Christian colleges' AI guides was assessed based on the initial data and previous research, leading to the development of tailored AI utilization components for Christian universities. Conclusion : Studies revealed secular institutions have six AI guide components, while Christian colleges found seven in both utilization and ethics guides, focusing on truthfulness, responsibility, and diversity. Emphasizing the need for ethical AI use in Christian colleges, the findings advocate developing AI ethics guidelines to aid marginalized groups and establish a new educational paradigm through further research.

Menstrual Experience of Adolescent Girls (사춘기 여성들의 월경경험)

  • 정현숙
    • Journal of Korean Academy of Nursing
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    • v.26 no.2
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    • pp.257-270
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    • 1996
  • Studies on menstruation have focused only on menstruation itself and menstrual disorders. The menstruating girls or women have been neglected. So, the purpose of this study was to understand menstrual experience of adolescent girls in their perspective and build a theory on it, The specific purpose of this study were to find initial reaction of the girls, their strategies to adapt to menstruation. consequences of their efforts, influencing factor, and patterns of experience. The subjects of this study were eleven adolescent girls who experienced menarche three months to twenty-six months before the interview time. They were selected purposively. Their ages were in range of twelve and sixteen. One of them was a elementary school girl, three high school girls, and seven middle school girls. Two girls were handicapped because of cerebral palsy. All of them had some knowledge about menstrual physiology and hygiene during menstruation. Data were collected from September, 1994 to July, 1995. Data collection & analysis were done according to the grounded theory methodology by Strauss & Corbin(1990). Data collecting method was the long interviews and observation. Each interview took from 1 hour to 2 hours. Interview were tape-recorded and transcribed later by author. Data were analyzed immediately after interviews. Based on the results of previous interview, next interview were planned until gathered data reached the saturation point. Results were as follows. One hundred and six concepts were found. Those concepts were grouped into twenty eight categories and then fourteen higher categories. Twenty eight categories were as follows. “want to hide”, “bewildered”, “sense of burden”, “sense of heterogeneity”. “gladness”. “sense of superiority”, “negative empathy”, “positive empathy”, “limited hygenic control”, “sense of timing”, “lack of knowledge”, “lack of support”, “advance knowledge”, “informational support”, “emotional support”, “endurance”, “prayer”, “disclosing”, “avoidance”, “diversion”, “sense of powerlessness”, “discovery of sex identity”, “sense of maturation”, “sense of stability”, “acceptance of menstruation ”. fourteen higher categories were as follows. “negative feeling”, “posive feeling”, “exchange of feeling”, “limited hygenic control”, “sense of timing”, “accumulated experience”, “dysmenorrhea”, “level of knowledge”, “need for support”, “perceived support”, “sharing of feeling”, “self-control”, “passive acceptance”, “active acceptance”. The core category was “emotional shaking”, which consisted of “positive feeling” and “negative feeling”. “Emotional shaking”comes up to every adolescent girls experiencing menarche, independently of any contextual conditions, and its dimension has two directions : positive one and negative one. Its influencing factors were time of menarche, advance knowledge, support from the significant persons, expression and self-regulation. Even if they showed different process of adaptation to menstruation, general process of adaptation were as follows : 1. stage of emotional shaking 2. stage of acceptance 3. stage of internalization of the menstrual experience. Seven patterns existed on the process of adaptation to menstruation after menarche. Those are as follows. 1. If girls thought their menarche came too early and they had not much knowledge on menstruation, they had a kind of negative feeling. If they did not get enough support and dysmenorrhea superimposed, they came to accept menstruation passively. 2. If girls had menarche too early. they had negative feeling, even though they had enough advance knowledge. But support helped them accept menstruation easily. 3. If girls had menarche too early, they had negative feeling, even though they had enough advance knowledge on menstruation. But by experiencing subsequent menstruations and disclosing feeling, they began to accept menstruation. 4. If girls had menarche too lately and they had enough advance knowledge on menstruation. they had positive feeling. If dysmenorrhea superimposed later, their feeling turned in to negative one. But they came to accept menstruation positively by disclosing feeling and getting support. 5. If girls had menarche too early, they had negative feeling, even though they had enough advance knowledge on menstruation. In addition to this. if dysmenorrhes superimposed while they did not get enough support, they felt powerless and came to accept menstruation passively. 6. If girls had menarche too early and did not get enough advance knowledge, they had negative feeling. But disclosing feeling and support made them get sense of homogeneity and began to accept menstruation. 7. If girls had handicap, they had negative feeling, even though they had enough advance knowledge and menarche was late. But Menarche made them get feel sexual identity. Their limited hygenic control and negative empathy from their mothers made them accept menstruation passively. To let adolescent girls take their menstrual experience as a part of their lives forming a positive sense of feminine identity, it needs qualified teaching and, support and deep concern of the significant others. Nurses including school nurses should try to develop an educational program, which include menstrual physiology. hygiene during menstrual period, meaning of menstruation and impact of menstruation on the development of female sexual identity.

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An Initial Study on the Reliability Assurance in PET/CT Standardized Uptake Values (PET/CT 에서 표준섭취계수(SUV)의 신뢰성 확보를 위한 초기연구)

  • Park, Hoon-Hee;Kim, Jung-Yul;Lee, Seung-Jae;Park, Min-Soo;NamKoong, Hyuk;Lim, Han-Sang;Oh, Ki-Baek;Kim, Jae-Sam;Lee, Chang-Ho;Jin, Gye-Hwan
    • The Korean Journal of Nuclear Medicine Technology
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    • v.13 no.3
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    • pp.31-42
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    • 2009
  • Purpose: As the number of domestic medical institutions installing PET/CT is increasing rapidly, the transfer of PET/CT images among medical institutions is also increasing. Thus, it is necessary to collect the comparative SUV data from several medical institutions' PET/CT systems through a phantom study which semi-quantitatively compares the SUV on one bed, the change scale of the SUV on the slices, and the time of measuring. The phantom study to find differences among the SUVs from various PET/CT offers the opportunity to obtain the reliability of the SUV in PET/CT images. Materials and Methods: Ten PET/CT systems from medical institutions in Korea were used. To obtain the accurate data, the study has been using the radiation detector of Korea Research Institute of Standards and Science to verify. The internal structures of NEMA $phantom^{TM}$ were removed and Six thousand milliliters of distilled water which has 1mCi of $^{18}F$-FDG put into the phantom. The water was properly integrated with $^{18}F$-FDG using magnetic stirrer. The images were acquired at 60, 70, 80, 90, 100, 110 and 120-minutes for 3 minute each. Two hundred square centimeters of region of interests were placed and analyzed. To confirm the usefulness, the correction-table came out from patients' data. Results: The coefficient of variability of the SUV from -11.0 to 9.90 % fell into the range of international standards(${\pm}10%$) along with the SUV on a bed, the change scale of the SUV on the slices, and the time of measuring, except one PET/CT system. Using the data of the differences among the SUVs, we came to withdraw the correction-table ranging from 0.803 to 1.246. The correction-table was confirmed its usefulness through Linear Regression Analysis which was applied to normal cases. Conclusions: Although studies have been made on the variation of the SUV, there is little attention on the standardization of the SUV. Based on this study of the quantitatively comparable data about the SUV accommodating the correction-table, it would help to have more corrective diagnosis.

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Yongdam Dam Watershed Flood Simulation Using GPM Satellite Data and KIMSTORM2 Distributed Storm Runoff Model (GPM위성 강우자료와 KIMSTORM2 분포형 유출모형을 이용한 용담댐 유역 홍수모의)

  • KIM, Se-Hoon;KIM, Jin-Uk;CHUNG, Jee-Hun;KIM, Seong-Joon
    • Journal of the Korean Association of Geographic Information Studies
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    • v.22 no.4
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    • pp.39-58
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    • 2019
  • This study performed the dam watershed storm runoff modeling using GPM(Global Precipitation Measurement) satellite rain and KIMSTORM2(KIneMatic wave STOrm Runoff Model 2) distributed model. For YongdamDam watershed(930㎢), three heavy rain events of 25th August 2014, 11th September 2017, and 26th June 2018 were selected and tested for 4 cases of spatial rainfalls such as (a) Kriging interpolated data using ground observed data at 7 stations, (b) original GPM data, (c) GPM corrected by CM(Conditional Merging), and GPM corrected by GDA(Geographical Differential Analysis). For the 4 kinds of data(Kriging, GPM, CM-GPM, and GDA-GPM), the KIMSTORM2 was calibrated respectively using the observed flood discharges at 3 water level gauge stations(Cheoncheon, Donghyang, and Yongdam) with parameters of initial soil moisture contents, stream Manning's roughness coefficient, and effective hydraulic conductivity. The total average Nash-Sutcliffe efficiency(NSE) for the 3 events and 3 stations was 0.94, 0.90, 0.94, and 0.94, determination coefficient(R2) was 0.96, 0.92, 0.97 and 0.96, the volume conservation index(VCI) was 1.03, 1.01, 1.03 and 1.02 for Kriging, GPM, CM-GPM, and GDA-GPM applications respectively. The CM-GPM and GDA-GPM showed better results than the original GPM application for peak runoff and runoff volume simulations, and they improved NSE, R2, and VCI results.

A Study on Relationship between Physical Elements and Tennis/Golf Elbow

  • Choi, Jungmin;Park, Jungwoo;Kim, Hyunseung
    • Journal of the Ergonomics Society of Korea
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    • v.36 no.3
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    • pp.183-196
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    • 2017
  • Objective: The purpose of this research was to assess the agreement between job physical risk factor analysis by ergonomists using ergonomic methods and physical examinations made by occupational physicians on the presence of musculoskeletal disorders of the upper extremities. Background: Ergonomics is the systematic application of principles concerned with the design of devices and working conditions for enhancing human capabilities and optimizing working and living conditions. Proper ergonomic design is necessary to prevent injuries and physical and emotional stress. The major types of ergonomic injuries and incidents are cumulative trauma disorders (CTDs), acute strains, sprains, and system failures. Minimization of use of excessive force and awkward postures can help to prevent such injuries Method: Initial data were collected as part of a larger study by the University of Utah Ergonomics and Safety program field data collection teams and medical data collection teams from the Rocky Mountain Center for Occupational and Environmental Health (RMCOEH). Subjects included 173 male and female workers, 83 at Beehive Clothing (a clothing plant), 74 at Autoliv (a plant making air bags for vehicles), and 16 at Deseret Meat (a meat-processing plant). Posture and effort levels were analyzed using a software program developed at the University of Utah (Utah Ergonomic Analysis Tool). The Ergonomic Epicondylitis Model (EEM) was developed to assess the risk of epicondylitis from observable job physical factors. The model considers five job risk factors: (1) intensity of exertion, (2) forearm rotation, (3) wrist posture, (4) elbow compression, and (5) speed of work. Qualitative ratings of these physical factors were determined during video analysis. Personal variables were also investigated to study their relationship with epicondylitis. Logistic regression models were used to determine the association between risk factors and symptoms of epicondyle pain. Results: Results of this study indicate that gender, smoking status, and BMI do have an effect on the risk of epicondylitis but there is not a statistically significant relationship between EEM and epicondylitis. Conclusion: This research studied the relationship between an Ergonomic Epicondylitis Model (EEM) and the occurrence of epicondylitis. The model was not predictive for epicondylitis. However, it is clear that epicondylitis was associated with some individual risk factors such as smoking status, gender, and BMI. Based on the results, future research may discover risk factors that seem to increase the risk of epicondylitis. Application: Although this research used a combination of questionnaire, ergonomic job analysis, and medical job analysis to specifically verify risk factors related to epicondylitis, there are limitations. This research did not have a very large sample size because only 173 subjects were available for this study. Also, it was conducted in only 3 facilities, a plant making air bags for vehicles, a meat-processing plant, and a clothing plant in Utah. If working conditions in other kinds of facilities are considered, results may improve. Therefore, future research should perform analysis with additional subjects in different kinds of facilities. Repetition and duration of a task were not considered as risk factors in this research. These two factors could be associated with epicondylitis so it could be important to include these factors in future research. Psychosocial data and workplace conditions (e.g., low temperature) were also noted during data collection, and could be used to further study the prevalence of epicondylitis. Univariate analysis methods could be used for each variable of EEM. This research was performed using multivariate analysis. Therefore, it was difficult to recognize the different effect of each variable. Basically, the difference between univariate and multivariate analysis is that univariate analysis deals with one predictor variable at a time, whereas multivariate analysis deals with multiple predictor variables combined in a predetermined manner. The univariate analysis could show how each variable is associated with epicondyle pain. This may allow more appropriate weighting factors to be determined and therefore improve the performance of the EEM.

Seismic Data Processing and Inversion for Characterization of CO2 Storage Prospect in Ulleung Basin, East Sea (동해 울릉분지 CO2 저장소 특성 분석을 위한 탄성파 자료처리 및 역산)

  • Lee, Ho Yong;Kim, Min Jun;Park, Myong-Ho
    • Economic and Environmental Geology
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    • v.48 no.1
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    • pp.25-39
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    • 2015
  • $CO_2$ geological storage plays an important role in reduction of greenhouse gas emissions, but there is a lack of research for CCS demonstration. To achieve the goal of CCS, storing $CO_2$ safely and permanently in underground geological formations, it is essential to understand the characteristics of them, such as total storage capacity, stability, etc. and establish an injection strategy. We perform the impedance inversion for the seismic data acquired from the Ulleung Basin in 2012. To review the possibility of $CO_2$ storage, we also construct porosity models and extract attributes of the prospects from the seismic data. To improve the quality of seismic data, amplitude preserved processing methods, SWD(Shallow Water Demultiple), SRME(Surface Related Multiple Elimination) and Radon Demultiple, are applied. Three well log data are also analysed, and the log correlations of each well are 0.648, 0.574 and 0.342, respectively. All wells are used in building the low-frequency model to generate more robust initial model. Simultaneous pre-stack inversion is performed on all of the 2D profiles and inverted P-impedance, S-impedance and Vp/Vs ratio are generated from the inversion process. With the porosity profiles generated from the seismic inversion process, the porous and non-porous zones can be identified for the purpose of the $CO_2$ sequestration initiative. More detailed characterization of the geological storage and the simulation of $CO_2$ migration might be an essential for the CCS demonstration.

Design of a Bit-Serial Divider in GF(2$^{m}$ ) for Elliptic Curve Cryptosystem (타원곡선 암호시스템을 위한 GF(2$^{m}$ )상의 비트-시리얼 나눗셈기 설계)

  • 김창훈;홍춘표;김남식;권순학
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.27 no.12C
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    • pp.1288-1298
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    • 2002
  • To implement elliptic curve cryptosystem in GF(2$\^$m/) at high speed, a fast divider is required. Although bit-parallel architecture is well suited for high speed division operations, elliptic curve cryptosystem requires large m(at least 163) to support a sufficient security. In other words, since the bit-parallel architecture has an area complexity of 0(m$\^$m/), it is not suited for this application. In this paper, we propose a new serial-in serial-out systolic array for computing division operations in GF(2$\^$m/) using the standard basis representation. Based on a modified version of tile binary extended greatest common divisor algorithm, we obtain a new data dependence graph and design an efficient bit-serial systolic divider. The proposed divider has 0(m) time complexity and 0(m) area complexity. If input data come in continuously, the proposed divider can produce division results at a rate of one per m clock cycles, after an initial delay of 5m-2 cycles. Analysis shows that the proposed divider provides a significant reduction in both chip area and computational delay time compared to previously proposed systolic dividers with the same I/O format. Since the proposed divider can perform division operations at high speed with the reduced chip area, it is well suited for division circuit of elliptic curve cryptosystem. Furthermore, since the proposed architecture does not restrict the choice of irreducible polynomial, and has a unidirectional data flow and regularity, it provides a high flexibility and scalability with respect to the field size m.