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2021, Vol.26, No.11

  • 1.

    K-means clustering analysis and differential protection policy according to 3D NAND flash memory error rate to improve SSD reliability

    Seung-Woo Son , Kim Jae Ho | 2021, 26(11) | pp.1~9 | number of Cited : 0
    Abstract PDF
    3D-NAND flash memory provides high capacity per unit area by stacking 2D-NAND cells having a planar structure. However, due to the nature of the lamination process, there is a problem that the frequency of error occurrence may vary depending on each layer or physical cell location. This phenomenon becomes more pronounced as the number of write/erase(P/E) operations of the flash memory increases. Most flash-based storage devices such as SSDs use ECC for error correction. Since this method provides a fixed strength of data protection for all flash memory pages, it has limitations in 3D NAND flash memory, where the error rate varies depending on the physical location. Therefore, in this paper, pages and layers with different error rates are classified into clusters through the K-means machine learning algorithm, and differentiated data protection strength is applied to each cluster. We classify pages and layers based on the number of errors measured after endurance test, where the error rate varies significantly for each page and layer, and add parity data to stripes for areas vulnerable to errors to provides differentiate data protection strength. We show the possibility that this differentiated data protection policy can contribute to the improvement of reliability and lifespan of 3D NAND flash memory compared to the protection techniques using RAID-like or ECC alone.
  • 2.

    Design and Evaluation of the Internet-Of-Small-Things Prototype Powered by a Solar Panel Integrated with a Supercapacitor

    Sang Soo Park | 2021, 26(11) | pp.11~19 | number of Cited : 0
    Abstract PDF
    In this paper, we propose a prototype platform combined with the power management system using, as an auxiliary power storage device, a supercapacitor that can be fast charged and discharged with high power efficiency as well as semi-permanent charge and discharge cycle life. For the proposed platform, we designed a technique which is capable of detecting the state of power cutoff or resumption of power supplied from the solar panel in accordance with physical environment changes through an interrupt attached to the micro-controller was developed. To prevent data loss in a computing environment in which continuous power supply is not guaranteed, we implemented a low-level system software in the micro-controller to transfer program context and data in volatile memory to nonvolatile memory when power supply is cut off. Experimental results shows that supercapacitors effectively supply temporary power as auxiliary power storage devices. Various benchmarks also confirm that power state detection and transfer of program context and data from volatile memory to nonvolatile memory have low overhead.
  • 3.

    Parallel Network Model of Abnormal Respiratory Sound Classification with Stacking Ensemble

    Nam Myungwoo , Young-Jin Choi , Hoe-Ryeon Choi and 1 other persons | 2021, 26(11) | pp.21~31 | number of Cited : 0
    Abstract PDF
    As the COVID-19 pandemic rapidly changes healthcare around the globe, the need for smart healthcare that allows for remote diagnosis is increasing. The current classification of respiratory diseases cost high and requires a face-to-face visit with a skilled medical professional, thus the pandemic significantly hinders monitoring and early diagnosis. Therefore, the ability to accurately classify and diagnose respiratory sound using deep learning-based AI models is essential to modern medicine as a remote alternative to the current stethoscope. In this study, we propose a deep learning-based respiratory sound classification model using data collected from medical experts. The sound data were preprocessed with BandPassFilter, and the relevant respiratory audio features were extracted with Log-Mel Spectrogram and Mel Frequency Cepstral Coefficient (MFCC). Subsequently, a Parallel CNN network model was trained on these two inputs using stacking ensemble techniques combined with various machine learning classifiers to efficiently classify and detect abnormal respiratory sounds with high accuracy. The model proposed in this paper classified abnormal respiratory sounds with an accuracy of 96.9%, which is approximately 6.1% higher than the classification accuracy of baseline model.
  • 4.

    A study on the Extraction of Similar Information using Knowledge Base Embedding for Battlefield Awareness

    Sang-Min Kim , So-yeon Jin , Woo-sin Lee | 2021, 26(11) | pp.33~40 | number of Cited : 0
    Abstract PDF
    Due to advanced complex strategies, the complexity of information that a commander must analyze is increasing. An intelligent service that can analyze battlefield is needed for the commander's timely judgment. This service consists of extracting knowledge from battlefield information, building a knowledge base, and analyzing the battlefield information from the knowledge base. This paper extract information similar to an input query by embedding the knowledge base built in the 2nd step. The transformation model is needed to generate the embedded knowledge base and uses the random-walk algorithm. The transformed information is embedding using Word2Vec, and Similar information is extracted through cosine similarity. In this paper, 980 sentences are generated from the open knowledge base and embedded as a 100-dimensional vector and it was confirmed that similar entities were extracted through cosine similarity.
  • 5.

    Dimensionality Reduction of Feature Set for API Call based Android Malware Classification

    Hee-Jin Hwang , Soojin Lee | 2021, 26(11) | pp.41~49 | number of Cited : 0
    Abstract PDF
    All application programs, including malware, call the Application Programming Interface (API) upon execution. Recently, using those characteristics, attempts to detect and classify malware based on API Call information have been actively studied. However, datasets containing API Call information require a large amount of computational cost and processing time. In addition, information that does not significantly affect the classification of malware may affect the classification accuracy of the learning model. Therefore, in this paper, we propose a method of extracting a essential feature set after reducing the dimensionality of API Call information by applying various feature selection methods. We used CICAndMal2020, a recently announced Android malware dataset, for the experiment. After extracting the essential feature set through various feature selection methods, Android malware classification was conducted using CNN (Convolutional Neural Network) and the results were analyzed. The results showed that the selected feature set or weight priority varies according to the feature selection methods. And, in the case of binary classification, malware was classified with 97% accuracy even if the feature set was reduced to 15% of the total size. In the case of multiclass classification, an average accuracy of 83% was achieved while reducing the feature set to 8% of the total size.
  • 6.

    Leap Motion Framework for Juggling Motion According to User Motion in Virtual Environment

    Jong-Hyun Kim | 2021, 26(11) | pp.51~57 | number of Cited : 0
    Abstract PDF
    In this paper, we propose a new framework that calculates the user's hand motions using a Leap Motion device, and uses this to practice and analyze arm muscles as well as juggling motions. The proposed method can map the movement of the ball in a virtual environment according to the user's hand motions in real time, and analyze the amount of exercise by visualizing the relaxation and contraction of the muscles. The proposed framework consists of three main parts : 1) It tracks the user's hand position with the Leap Motion device. 2) As with juggling, the action pattern of the user throwing the ball is defined as an event. 3) We propose a parabola-based particle method to map the movement of a juggling shape to a ball based on the user's hand position. As a result, using the our framework, it is possible to play a juggling game in real-time.
  • 7.

    Educational examples of game development methodology and paper prototyping for effective digital game creation

    choi buho | 2021, 26(11) | pp.59~66 | number of Cited : 0
    Abstract PDF
    This study is to verify the effectiveness of initial planning verification using paper prototyping while methodologies are being developed to verify the direction of game planning in a short time at low cost since it is having a hard time to verify the direction and fun of the game by taking a lot of capital and time in the initial planning process as the game development becomes larger. It conducted paper prototyping production for about 40 students who are learning game planning for a semester, and trained them on how to motivate using core mechanical diagrams, scrums, and basic psychological needs that can effectively materialize the ideas of their early game planning. Through this curriculum, board games were completed with eleven paper prototyping, and it was confirmed that students who participated in the class were meaningful in verifying fun and securing gameability through cross-play.
  • 8.

    Expanding character roles and replacing worldviews in character-centric storytelling

    Seo Hyun Kyung | 2021, 26(11) | pp.67~74 | number of Cited : 0
    Abstract PDF
    This paper intends to analyze the role expansion of characters, which was an important factor in setting the worldview in storytelling. With the development of media, the way of setting the worldview began to change. At the center of these changes are 'Transmedia' and 'Metaverse', which have recently been receiving attention. With the development of trans media, where the intersection and convergence of media is actively attempted, characters are breaking free from their innate limitations, crossing various media, and performing various activities in new stories. In addition, in the metaverse, an extended concept of the real world, avatars play a role in constructing and expanding the metaverse world as users and creators. By analyzing these changes, we would like to deal with the phenomenon in which character setting, which was used as an element in orthodox world view setting, replaces the world view.
  • 9.

    Adaptive Concurrency Control Approach on Shared Object Manipulation in Mixed Reality

    Jun Lee , Sung-Jun Park | 2021, 26(11) | pp.75~84 | number of Cited : 0
    Abstract PDF
    In this paper, we propose an adaptive concurrency control scheme to reduce conflicts and working time in the cooperative work in mixed reality. To this ends, we first classified the goals, tasks and ownerships of the cooperative work. Then, the classified relationships are mapped according to their temporal and hierarchical relationships of shared object manipulation in the cooperative work. The proposed system provides adaptive concurrency controls of the shared object according to temporal orders of the sub-goals. With the proposed scheme, a participant is enable to move and rotate a shared object although another already has an ownership of the shared object in a specific order of the sub-goal. Thus, the proposed system provides adaptive and realistic cooperative working environment. We conducted a user study of the proposed scheme. The proposed system could reduce conflicts and working times comparing to conventional approaches.
  • 10.

    Rotation Invariant Face Detection Using HOG and Polar Coordinate Transform

    Jang, Kyung Shik | 2021, 26(11) | pp.85~92 | number of Cited : 0
    Abstract PDF
    In this paper, a method for effectively detecting rotated face and rotation angle regardless of the rotation angle is proposed. Rotated face detection is a challenging task, due to the large variation in facial appearance. In the proposed polar coordinate transformation, the spatial information of the facial components is maintained regardless of the rotation angle, so there is no variation in facial appearance due to rotation. Accordingly, features such as HOG, which are used for frontal face detection without rotation but have rotation-sensitive characteristics, can be effectively used in detecting rotated face. Only the training data in the frontal face is needed. The HOG feature obtained from the polar coordinate transformed images is learned using SVM and rotated faces are detected. Experiments on 3600 rotated face images show a rotation angle detection rate of 97.94%. Furthermore, the positions and rotation angles of the rotated faces are accurately detected from images with a background including multiple rotated faces.
  • 11.

    A visiting scheme of mobile sink system in distributed sensor networks

    Sangjoon Park , Jongchan Lee | 2021, 26(11) | pp.93~99 | number of Cited : 0
    Abstract PDF
    The sensor networks should be appropriately designed by applied network purpose, so that they can support proper application functions. Based on the design of suitable network model, the network lifetime can be maximized than using other general strategies which have not the consideration of specific network environments. In this paper, we propose a non-deterministic agent scheme to the mobile sink in distributed wireless sensor networks. The sensor network area can be divided into several sensor regions. Hence, to these such networks, the specified suitable scheme is requested by the applied network model to implement satisfactory network management. In this paper, we theoretically represent the proposed scheme, and provide the evaluation with the simulation results.
  • 12.

    A Study on the Standard Architecture of Weapon Control Software on Naval Combat System

    Jae-Geun Lee | 2021, 26(11) | pp.101~110 | number of Cited : 0
    Abstract PDF
    The Weapon Control Software performs the function of supporting weapon operation within the Naval Combat System in connection with the Weapon System. As Weapon Control Software depends on an Weapon System, it has the characteristic that software modification is unavoidable with the change in Interface information. Modification of software causes an increase in development costs since it must take verification step such as software reliability test. In this paper, We design the standard architecture of weapon control software to minimize the modification elements of existing weapon control software. For Interface information management, Feature Model were applied to make a division between common factor and variable factor. In addition, Strategy Pattern were applied to improve the software design. Software evaluation test results show that new architecture provides better modifiability and reuse than existing software as well as the cost of development decrease.
  • 13.

    Improved Digital Signature Algorithm Based on Batch Verification

    Hyejin Kim | 2021, 26(11) | pp.111~120 | number of Cited : 0
    Abstract PDF
    This paper proposes an efficient SM2 digital signature. The batch verification algorithm is especially suitable for application scenarios that require verification of a large number of digital signatures such as electronic money. The algorithm does not verify immediately after each signature, but verifies multiple signatures at the same time. Because in the SM2 digital signature verification process, the dot multiplication operation is a very time-consuming operation, the batch verification algorithm significantly shortens the entire verification process by reducing the time-consuming dot multiplication operation in the verification process, and greatly improves the verification efficiency. Experimental data shows that in the case of the same number of messages, the efficiency of the batch verification algorithm is much higher than the efficiency of a single verification algorithm. For example, when the number of signatures reaches about 1 million, a single verification algorithm takes about 1 hour, while a batch verification algorithm only needs 2 seconds.
  • 14.

    Digital Content Certification and Management Technology Based on Blockchain Technology

    EunGyeom Jang | 2021, 26(11) | pp.121~128 | number of Cited : 0
    Abstract PDF
    After entering the 4th Industrial Revolution, the digital content market, which was only dependent on existing contents supply enterprises, is providing various digital content through the participation of users like YouTube. Accordingly, it activated the digital content market, but it causes a negative influence on the digital content market due to the copyright of the creator and the indiscriminate illegal use and usage of the content. This study researched digital content management technology based on blockchain technology to protect digital content and the copyright of the creator. The suggested technology protects the digital content and the copyright holder and discerns the users and prevents the indiscriminate approach and illegal use of digital content. For the safe management of digital content, hash function applied as the certification technology of blockchain is used to certify the users and manage the digital content and provide integrity and authentication service.
  • 15.

    Development of a Social Network Service Closely Coupled with Local Broadcasting Media

    Hyeon Gyu Kim | 2021, 26(11) | pp.129~137 | number of Cited : 0
    Abstract PDF
    Recently, local broadcast companies are experiencing financial shortages and business deterioration due to difficulties in securing income sources. This is due to the continuous decrease in viewership ratings as the contents of the broadcast companies do not attract the interest and participation of local residents. To resolve this issue, this paper presents a social network service closely coupled with local broadcasting. In the proposed service, the exposure range of articles is limited to a region so that reporters could easily find the interests of local residents. In addition, among the articles written by local residents, the articles requested to be broadcast by reporters are placed at the top section of the main page. From this UI configuration, local residents can easily recognize that their opinions can be directly connected to the broadcast, which is intended to activate their participation. The proposed service was implemented in the form of a prototype system with JCN, a broadcasting company in Ulsan, and this paper discusses its user interfaces, system structure, and an algorithm to estimate the priority of the written articles.
  • 16.

    A Study on Converting bibliographic data of public libraries expressed in KORMARC into BIBFARME

    Joo-Yong Kim , Shin, Pan-Seop | 2021, 26(11) | pp.139~147 | number of Cited : 0
    Abstract PDF
    BIBFRAME, which is attracting attention as an alternative to the machine-readable catalog format (MARC) in the library world, presents a new bibliographic data model in the open web environment while maintaining compatibility with existing data. To convert KORMARC(Korean data model of MARC) records into BIBFRAME, we extract 25 key fields by analyzing the latest 5,000 bibliographic data from Nowon-gu Library in Seoul. The extracted core fields are classified into three types according to the compatibility of MARC 21, and define conversion rules for each type. In addition, implement an open source-based converter to perform KORMARC to BIBFRAME conversion. As a basic study on KORMARC to BIBFRAME conversion, this study is meaningful in that it analyzes the latest KORMARC information actually used, defines conversion rules, and attempts BIBFRAME conversion.
  • 17.

    A New Similarity Measure based on Separation of Common Ratings for Collaborative Filtering

    Soojung Lee | 2021, 26(11) | pp.149~156 | number of Cited : 0
    Abstract PDF
    Among various implementation techniques of recommender systems, collaborative filtering selects nearest neighbors with high similarity based on past rating history, recommends products preferred by them, and has been successfully utilized by many commercial sites. Accurate estimation of similarity is an important factor that determines performance of the system. Various similarity measures have been developed, which are mostly based on integrating traditional similarity measures and several indices already developed. This study suggests a similarity measure of a novel approach. It separates the common rating area between two users by the magnitude of ratings, estimates similarity for each subarea, and integrates them with weights. This enables identifying similar subareas and reflecting it onto a final similarity value. Performance evaluation using two open datasets is conducted, resulting in that the proposed outperforms the previous one in terms of prediction accuracy, rank accuracy, and mean average precision especially with the dense dataset. The proposed similarity measure is expected to be utilized in various commercial systems for recommending products more suited to user preference.
  • 18.

    Comparison Analysis of Antioxidant Effects from Rutaceae Fruits

    Kim Mee Kyung | 2021, 26(11) | pp.157~163 | number of Cited : 0
    Abstract PDF
    In this study, we investigated the antioxidants activity by measuring electron donating ability and ABTS radical scavenging ability of the extracts from Rutaceae fruits (citron, grapefruit, lemon, mandarin orange, orange, trifoliate) to evaluate its use as a antioxidants in foods and cosmetics. Rutaceae fruits extract were separated in two parts of whole fruit (pulp, pulp fegment membrane, peel) and peel, dried, and then extracted with 70% ethanol. As a result of comparing the antioxidant effect at the concentration of 10,000 μg/mL, the electron donating ability was higher in the dried lemon peel extract (DLPE, 88.15%) and the dried citron whole fruit extract (DCWE, 80.44%), and the ABTS radical scavenging ability was highest in lemon peel and dried peel extract at 94.85% (FLPE) and 92.83% (DLPE). In conclusion, it was confirmed that lemon showed the highest antioxidant effect among the Rutaceae fruits(citron, grapefruit, lemon, mandarin orange, orange, trifoliate), and it was confirmed that the dried peel extract had a significant effect. Therefore it is considered that the dried lemon peel extract has the potential to be used as a natural antioxidant material in food and cosmetics.
  • 19.

    Comparison analysis of rescuer's neck muscle tone and stiffness according to cardiopulmonary resuscitation skill-level

    Wang Joong San , Kim, jeong ja , Jung, JiYeon | 2021, 26(11) | pp.165~172 | number of Cited : 0
    Abstract PDF
    The purpose of this study was to identify differences in the muscle tone and stiffness of neck muscles according to levels of cardiopulmonary resuscitation (CPR) skill. The subjects were 30 female students in their 20s who were divided into a skilled group (n=15) and an unskilled group (n=15). According to the results, the skilled group showed statistically significant decreases in the stiffness of the lower cervical muscle and the muscle tone of the upper trapezius on the above hand side of hand grips after CPR (p<.05). The unskilled group exhibited a statistically significant difference in both the muscle tone and stiffness of the upper trapezius muscle on both sides after CPR (p<.05). However, no statistically significant differences were found between the two groups. In addition, the non-skilled group showed statistically significant lower values than the skilled group in the mean compression rate, total number of compressions, accuracy of chest compression, and accuracy of chest relaxation (p<.05). This study confirmed that CPR has a myophysiological effect on the neck muscles of those who perform CPR. However, it found that no differences result from individual CPR skill levels that are an important element for the accuracy of CPR.
  • 20.

    Study on driver's distraction research trend and deep learning based behavior recognition model

    Sangkon Han , Jung-in Choi | 2021, 26(11) | pp.173~182 | number of Cited : 0
    Abstract PDF
    In this paper, we analyzed driver's and passenger's motions that cause driver's distraction, and recognized 10 driver's behaviors related to mobile phones. First, distraction-inducing behaviors were classified into environments and factors, and related recent papers were analyzed. Based on the analyzed papers, 10 driver's behaviors related to cell phones, which are the main causes of distraction, were recognized. The experiment was conducted based on about 100,000 image data. Features were extracted through SURF and tested with three models (CNN, ResNet-101, and improved ResNet-101). The improved ResNet-101 model reduced training and validation errors by 8.2 times and 44.6 times compared to CNN, and the average precision and f1-score were maintained at a high level of 0.98. In addition, using CAM (class activation maps), it was reviewed whether the deep learning model used the cell phone object and location as the decisive cause when judging the driver's distraction behavior.
  • 21.

    A Study on the Development of "Korean-style Button Mushroom Cultivation Compost Post-Fermentation System"

    Si-Young Rho , Kang-Su Kwak , Hyun-Dong Lee and 1 other persons | 2021, 26(11) | pp.183~189 | number of Cited : 0
    Abstract PDF
    In this study, we developed a "Korean-style button mushroom cultivation Compost post-fermentation system." The purpose is to increase farm income by reducing the labor force of button mushrooms farmers and shortening the production cycle. The "Korean-style button mushroom cultivation Compost post-fermentation system" was designed to reflect the reality of domestic button mushroom farmers. By reducing the temperature difference of the fermentation Compost in the fermentation system, the company produces a button mushroom Compost that ensures uniform quality. As a result of the performance experiment, the working time of the Compost post-fermentation system was shortened by 40 hours. The number of aerobic bacteria and actinomyces that help the button mushrooms Compost increased. Filamentous bacteria that deteriorate the quality of mushrooms have been sterilized.
  • 22.

    A Study on Evaluation of the Key Functional Factors of Safe Driving in Elderly

    Park So Yeon | 2021, 26(11) | pp.191~199 | number of Cited : 0
    Abstract PDF
    This study aims to present the need to supplement the driver's license renewal test for elderly drivers. In Korea, the proportion of elderly drivers is increasing as the elderly population increases rapidly. Overall the traffic accident rate is decreasing but the traffic accident and death rate from traffic accidents are increasing in older drivers. In this study the assessments and education conducted when renewing the driver's license for elderly drivers conducted in Korea were conducted to find out the necessary tests compared to the current situation of foreign countries. Although it is appropriate to evaluate the three key functional areas of vision, cognition, motor and somatosensory, we currently evaluate visual acurity in vison area. While MMSE-K and Clock drawing tests are not recognizable for mild cognitive impairment in cognitive areas. The motor and somato sensory function to perform driving are not evaluated at all. Therefore for safe driving of older drivers, the test to be conducted during renewal of the driver's license will need to supplement that the visual field and contrast sensitivity in vision area, cognitive function from mild cognitive impairments, and the endurance, functional range of motion and proprioception in motor function area.
  • 23.

    Factors Affecting Unmet Medical Care in Elderly Hypertensive Patients

    Hye young Jang | 2021, 26(11) | pp.201~208 | number of Cited : 0
    Abstract PDF
    The purpose of this study is to investigate factors affecting unmet medical care in elderly hypertensive patients. The purpose of this study was to understand the reasons for unmet medical care in elderly hypertensive patients over 65 years of age and to identify the characteristics of each type to improve the medical use system and to contribute to policy making so that unmet medical care does not occur. Using data from the 7th period of the National Health and Nutrition Examination Survey (2016, 2017), 23 sample households were selected using the phylogenetic extraction method among appropriate households and analyzed using the SPSS 18.0 Program. As a result of the study, the unmet medical care of those who had suicidal thoughts compared to those who had not had suicidal thoughts in the past year, when females were higher than males, had worse subjective health status, those who did not subscribe than those who had private insurance, and those who had smoked in the past year. The experience rate was high. This is considered to be able to contribute to improving the medical service system and making policy decisions so that unmet medical care does not occur in the future.
  • 24.

    The Longitudinal Study on the Effects of Multicultural Adolescent’s Acculturation Stress on Life Satisfaction : Focusing on the mediation effects of self-esteem and family support

    Hwie- Seo, Park | 2021, 26(11) | pp.209~215 | number of Cited : 0
    Abstract PDF
    The purpose of this study is to identify changing patterns in multicultural adolescent’s life satisfaction and to explore longitudinal changes in the effects of acculturation stress, self-esteem and family support on the changes in life satisfaction. For this purpose, the survey data from the 4th to 6th years of the Multicultural Youth Panel Survey were used for the analysis. As a result of the analysis, life satisfaction, self-esteem, and family support decreased for 3 years through each linear change model. As a result of examining the longitudinal mediating effects of self-esteem and family support between acculturation stress and life satisfaction through the multivariate potential growth model, the mediating effect of self-esteem and family support was confirmed. Based on these results, practical implications for improving life satisfaction, self-esteem, and family support of multicultural youth were presented.
  • 25.

    Design and Implementation of the Prevention System for Side Effects of Polypharmacy Components Utilizing Data Queuing Algorithm

    Jiwon Choi , Chanjoo Kim , Yunhee Ko and 3 other persons | 2021, 26(11) | pp.217~225 | number of Cited : 0
    Abstract PDF
    In this paper, we designed and implemented the integrated system to prevent adverse drug reactions of polypharmacy components in medicine by supporting component-component information and disease-component information, through data queuing algorithm and vast amounts of pharmaceutical big data. In addition, by providing information for drugs, drug components, prohibited drugs, as well as suppliers and distributors, it could help ease anxiety about taking drugs not only for health-care professionals but also for general users. The representative information provided were side effects between two drugs, main components and effectiveness of particular drugs, drugs manufactured by the same pharmaceutical company, and drug component information for patients with chronic diseases. The future work is to update the database by collecting information on rare & new diseases and new drugs.
  • 26.

    A Study on the Operational Problems and Improvement Plan of the Domestic Violence Punishment Act through Domestic Violence Crime Information Analysis

    Yoon Hyun-seok | 2021, 26(11) | pp.227~232 | number of Cited : 0
    Abstract PDF
    The 「Act on Special Cases concerning the Punishment of Crimes of Domestic Violence」 still has various problems in the legal system and enforcement process. Contrary to the original intention of the legislation, it is operated very passively in terms of state intervention and punishment of domestic violence actors in actual operation. Even if it is treated as a home protection case, if you look at the details of the protection disposition, there is a problem that the decision on the protection disposition is biased towards a specific type of protection disposition. In order to improve this, the need for cooperation and active intervention between state agencies is required. In addition, it is necessary to establish a legal basis for a request for personal protection by recognizing the status of a victim who reported domestic violence as a crime reporter. In addition, in order to secure the effectiveness of the protective disposition, it is necessary to strengthen sanctions for non-compliance or violations of the protective disposition.
  • 27.

    A Study on the Algorithm Transparency Act and Right to Explanation - Focus on the Review of Algorithm Transparency Act -

    Young-Woo Lee | 2021, 26(11) | pp.233~236 | number of Cited : 0
    Abstract PDF
    Recently, the Justice Party is pushing for legislation of a bill called the Algorithm Transparency Act. The bill is a revision to the Information and Communication Network Act proposed by Rep. Ryu Ho-jung on June 25, 2021, and aims to form a separate committee under the Korea Communications Commission to ask organizations operated for profit to search algorithms and explain the principles of arrangement. Currently, Korea treats algorithms as corporate secrets and does not disclose them, while the European Union (EU) implements the Personal Information Protection Regulations (GDPR) in relation to algorithm regulations. Therefore, this study summarizes the main contents of the Algorithm Transparency Act currently proposed to the National Assembly and reviews the current status of algorithm-related laws and systems in the European Union (EU) and the improvement of algorithm transparency.
  • 28.

    Analysis of Structural Relationships of Pragmatic Language Ability in Children's Language Development

    Kyung-Im Moon | 2021, 26(11) | pp.237~245 | number of Cited : 1
    Abstract PDF
    In this study, using data completed in the 11th year of the Panel Study on Korean Children, discourse management, situational adjustment and application ability, communication intention, and non-verbal communication were investigated by the child pragmatic language checklist tool in the field of cognitive and language development. It is to find a significant influence by analyzing the relationship between the factors of the observed variables on the latent variables of communication. The subject of this study is 4th grade elementary school students in 1,392 households, excluding 36 non-respondents to the language development question, out of 2150 households in the 11th year of the Panel Study on Korean Children(2018) data, 1428 households excluding 722 households who did not participate in the survey. As a result of the study, it was found that the total effect, direct effect, and indirect effect among the three latent variables except for communication intention were all significant in the effect analysis of the research model. Specifically, not only did nonverbal communication have a direct effect on discourse management ability, but also the indirect influence mediated by situational control and application ability was significant in the relationship between nonverbal communication and discourse management ability. As a result, it was found that the higher the non-verbal communication and situational adjustment and adaptation ability, the higher the discourse management ability.
  • 29.

    A Study on antecedent factors of the Female farmers’ Information Literacy Competency using smart devices

    Joo-Lee Son , Hye-Sung Chae , Choi, YoonJi and 2 other persons | 2021, 26(11) | pp.247~254 | number of Cited : 0
    Abstract PDF
    In this paper, we propose antecedent factors that influence the Information Literacy Competency of female farmers using smart devices. The study was analyzed using the materials from the "Primary Survey of Information Literacy Competency Measurement Index for Female Farmers" by the Rural Development Administration. The target of the survey was 200 women working on the farms. The descriptive, correlation, and multiple regression analyses, t-test, and ANOVA using SPSS 21.0 program were performed. Study results found that among the psychological factors, Self-efficacy and Innovativeness have positive effects on Information Literacy Competency. Among the Sociodemographic factors, the education level, presence of smartpads, and tiem spent on smartphones have positive effects on Information Literacy Competency. Findings of the results contributed to the understanding of the Information Literacy Competency for female farmers, who have lack of infromarion on smrt devices, and suggested the direction of enhancing the level of Information Literacy Competency for female farmers.
  • 30.

    Satisfaction with Development Direction of Local Culture and Arts through the PCSI Model: Focused on Daegu Music City

    Sae Bom Lee , Chi-Woo Lee , Jae-Young Moon | 2021, 26(11) | pp.255~261 | number of Cited : 0
    Abstract PDF
    In Korea, there are a total of 8 creative cities selected by UNESCO in 7 fields. UNESCO creative city refers to a network of creative cities with international level of experience, knowledge, and expertise in the field of culture and arts. Based on the PCSI 2.0 model, this study conducted a satisfaction survey of experts on Daegu's Creative City. Variables were composed of service quality, social responsibility, inconsistency, satisfaction and performance, and service quality was measured by dividing it into three categories: content quality, delivery quality, and environmental quality. Therefore, this study verified that the three types of quality, social responsibility, and inconsistency affect satisfaction, and that satisfaction affects performance. As a result of the study, it was found that the three service quality did not directly affect satisfaction, but rather affected satisfaction through inconsistency. So, 3 out of 10 hypotheses were rejected.