Copies Of Data Research Articles

Tighter NIC/GPU Integration Yields Next-Level Media Processing Performance

As the media industry further consolidates building services based on commercial-off-the-shelf (COTS) hardware, the requirement for increasing performance continues to accelerate. The processing of video resolutions up to ultra-high definition (HD) (UHD) and 8K, higher frame rates, increased bit depth, and high-dynamic-range (HDR) imagery requires tighter integration and optimization between the network interface controller (NIC) and the graphical processing unit (GPU). Combined with simultaneous input and output of multiple streams; this creates the potential for performance bottlenecks that must be unlocked. This article describes how COTS hardware platforms running Graphics Processing Unit (GPU)s alongside ST 2059–2 Precision Time Protocol (PTP) locked Network Interface Cards (NIC)s, which are accurately pacing packets according to ST 2110–21 requirements, may further increase their performance throughput by reducing central processing unit (CPU)-driven data copy overhead and, in doing so, they reduce processing latency and jitter as well as more effectively use GPU resources while freeing up CPU resources.

위드 코로나 시대의 관광동기가 지각된 건강위험과 여행의도에 미치는 영향

In this study, the Push and Pull motivation theory was applied in accordance with the need for a study on the relationship between tourism motivation, which is a driving factor that drives tourism behavior, and the perceived health risks of tourists. An empirical analysis was conducted using 159 copies of valid data, and the results are as follows. First, relaxation/ recreation and family harmony among the push motivations were adopted, while both cultural heritage and natural heritage among the pull motivations were both rejected. Second, the perceived health risk of tourists was found to have a significant negative effect on travel intention. Third, it was found that relaxation/recreation and family harmony among the push motivation factors had a positive effect on travel intention. Among the pull motivations, only natural heritage was accepted. It suggests that the internal motivation factors of tourists should be treated as important to create tourism demand in the era of With Corona. In addition, it is necessary to differentiate tourism marketing strategies and health risk management for each tourism motivation.

중년기 여성의 심리적 위기감과 심리적 웰빙, 속박감의 구조적 관계 : 여가경험은 심리적 완충효과가 있는가?

In order for humans to enjoy a healthy lifestyle, physical and mental health must be in harmony. Middle-aged women face conflict and difficulties. In this study, it is meaningful to confirm the relationship between psychological crisis, psychological well-being, and bondage and It was necessary to attempt a study on whether leisure experience would have a positive effect. 243 copies of data were collected for middle-aged women aged 40 to 60 and A structural equation model (SEM) was performed using IBM SPSS Amos 20.0 and χ² difference verification was performed to verify the moderating effect. First, the psychological sense of crisis in middle-aged women showed negative (-) significant predictive power in psychological well-being. Second, it was found that the psychological sense of crisis showed positive (+) significant predictive power in the sense of bondage. Third, it was found that leisure experience had a moderating effect in the relationship between psychological crisis and psychological well-being. Fourth, it was found that leisure experience had a positive buffering effect in the relationship between psychological crisis and bondage.

유아교육기관의 조직건강성이 교사의 역할수행에 미치는 영향에 관한 연구

The purpose of this study was to examine the relationships among the organizational health, role performance, teacher efficacy, and organizational commitment in early childhood education institutions, and verify the mediating effect of teacher efficacy and organizational commitment in the relationship between organizational health and role performance.
 Therefore, study hypothesis and a questionnaire were developed, and a questionnaire survey was conducted with early childhood teachers working at early childhood education institutions located in the metropolitan area. A total of 200 copies of data were collected and the collected data were statistically analyzed to verify the hypotheses.
 As a result of the study, first, the organizational structure, organizational climate, and leadership of organizational health have a positive (+) effect on teacher efficacy. Second, organizational climate and leadership have a positive (+) effect on organizational commitment, but organizational structure does not have a significant effect. Third, teacher efficacy has a positive (+) effect on organizational commitment. Finally, teacher efficacy and organizational commitment have a positive (+) effect on role performance.
 Therefore, this study is intended to examine the relationship between organizational health and role performance, which are external variables, and figure out what factors affect the role performance of teachers. This study analyzed that along with increases in the necessity of professional role performance in early childhood education, the desirable role performance of early childhood teachers is an important variable that affects the growth and development of young children, and is intended to provides basic data necessary for early childhood education.

주기적인 건강재활운동 참여자의 건강 상태, 건강 위기감 및 건강증진행위의 관계

In order to verify the relationship between health status, sense of crisis, and health promotion behaviors of middle-aged men and women participating in health rehabilitation exercise, this study conducted a questionnaire survey targeting middle-aged people participating in rehabilitation exercises at hospitals and rehabilitation centers located in the metropolitan area. There are 218 copies of data used for statistical analysis. Through this procedure, the following results were obtained. First, as a result of regression analysis on the relationship between health status and sense of crisis, emotional crisis was found to be significant in mental and physical health factors. Factors with a sense of loss of vitality were significant in physical health factors, whereas life dissatisfaction, marriage dissatisfaction, and child relationship were found to be significant. As for the dissatisfaction factors, it was significantly found in the mental health factors. Second, as a result of regression analysis on the relationship between health status and health promotion behavior, both physical health and mental health were found to be meaningfully explained. Third, as a result of regression analysis on the relationship between sense of crisis and health promotion, it was found that all factors of emotional crisis, loss of vitality, life dissatisfaction, marriage dissatisfaction, and child relationship dissatisfaction were significantly explained.

경험디자인이 적용된 나이키 플래그십 스토어 Visual Merchandising에 대한 중요도/만족도 분석(IPA) - Z세대를 중심으로 -

The Nike Rise Seoul store is Nike’s flagship store and one of the global representative stores, and is a large digital experiential store strategically implemented with various experiential visual merchandising. The goal of this study is to empirically find out what kind of experiential visual merchandising is important to the trend-sensitive Generation Z in Nike Rise Seoul store and what kind of experiential visual merchandising they are satisfied with. Therefore, first, prior research and Internet research were conducted on the Nike brand, experience design, and visual merchandising. Next, a survey was conducted on experiential visual merchandising implemented in the store targeting 100 Gen Z people who visited the Nike Rise Seoul store within the last 3 months, and finally 90 copies of data were obtained. Using SPSS 20.0, a program specializing in statistics, frequency analysis was conducted to find out the demographic characteristics of question respondents and the usage status of stores, and the reliability of the data was tested. In addition, IPA was conducted on the experience design elements for each of the four MP elements, and the following results were derived. First, the experience design elements that require intensive investment and management in Nike Rise Seoul are the non-dailyness of the VP zone, the sensibility of the IP zone, and the dynamics of the EP zone. Second, sensibility was analyzed to be the most important experiential effect and informativeness was analyzed to be the most satisfactory experiential effect. Third, the interaction of the EP zone was analyzed as the second most important item among all analysis items, as well as the most satisfactory item. Fourth, among the MP factors, the EP zone was analyzed to have the lowest perceptual level than the experience effect expected by Generation Z consumers.

코로나19 확진자의 안녕감에 미치는 영적 및 종교적 영향요인 연구

This study started from the recognition that it is necessary to study spirituality and religion that can give psychological well-being at a time when the life-threatening COVID-19 pandemic is prolonged. The purpose of the study was to empirically analyze how variables such as religion, spiritual and religious attitudes toward illness, perceived changes, and the meaning in life affect the well-being of people who tested positive for COVID-19, and to determine the degree of influence of each factor. This study sought to draw academic and practical implications by finding positive factors that can help improve people’s psychological well-being. In this study, a total of 295 copies of data were collected through an online questionnaire targeting those who tested positive for COVID-19, and hierarchical regression analysis was performed using IBM SPSS 21.0 program. The main results are as follows. The degree of influence of factors affecting WHO-5 well-being appeared in the order of ‘existence’ in meaning in life (MLQ), subjective health, corona stress, ‘worrying reflections and loneliness’ in perceived changes (PCQ-K). Based on the research results, the significance and limitations of the research were discussed, and suggestions for subsequent study were provided.

Analysis and recommendations for business process improvement for retail companies using the business process improvement (BPI) Method

Retail companies are businesses that involve direct interaction between sellers of goods or services and consumers, meaning that retail businesses do not have a processing process from raw materials to finished products. In the process of editing and recapping goods data, there are 2 main businesses, namely editing data, sending copies of goods data, and storing new data in the cashier’s GIS database. After the evaluation, it was found that simplification could be made to make it more efficient. Based on the results of the evaluation of the business process, it was found that the root cause of the editing time and recap of goods data was long. Business process recommendations are made and the results are obtained, eliminating the process of providing a copy of new item data to the warehouse clerk and storing new item data in the cashier’s GIS database.

Exploring the utility of synthetic data to extract more value from sensitive health data assets: A focused example in perinatal epidemiology.

Privacy, access and security concerns can hinder the availability of health data for research. The use of synthesised data in place of de-identified electronic health records (EHRs) presents an opportunity to conduct research while minimising privacy concerns. To examine whether synthesised data can replicate two prenatal epidemiological associations: between prenatal smoking and lower birthweight, and between prenatal mood disorders and lower birthweight, using data synthesised from de-identified health administrative data collections. We generated two synthetic datasets, using parametric and non-parametric data generating methods, and examined the synthetic data for evidence of privacy concerns. Next, univariable and multivariable logistic regression was utilised to estimate the associations in both synthetic datasets, with results then compared to the real data. Both synthesised datasets performed well in identifying the reduction in birthweight associated with prenatal smoking, while the non-parametric data underestimated the reduction in birthweight associated with prenatal mood disorders. Improbable relationships between some variables were identified in the parametric synthesised data, however, these can be addressed with simple rules during data synthesis. No duplicate rows (i.e., exact copies of de-identified data) were found in the parametric data, while only 0.6% of the rows in the non-parametric data were duplicated. Both synthesised datasets performed well in replicating the statistical properties of the original data while addressing privacy issues. Data synthesis methods provide an opportunity for researchers to utilise health data while managing privacy and security concerns.

Cache-related Hardware Capabilities and Their Impact on Information Security

Caching is an important technique to speed-up execution, and its implementation and use cases vary. When applied specifically to the memory hierarchy, caching is used to speed up memory accesses and memory translations. Different cache implementations are considered microarchitectural secrets and oftentimes change between generations. The integration of caches in hardware greatly influences security policy enforcement in the platform since caches maintain copies of code and data and their security properties. Examples of attacks due to the existence of caches are side-channels against cryptographic software, recent speculative execution abuses to leak secret data, and usages of cache-based manipulations (e.g., forcing cache splits/incoherence) to hide from security software detection. This survey examines the security issues due to different cache usages in a microarchitecture. The survey also explains the most complicated caching features and their impact on the security of the platform in different scenarios.

Cloud Object Storage Synchronization: Design, Analysis, and Implementation

Cloud storage synchronization among different computing terminals has attracted large-scale uses among enterprise and individual users. It enables users to maintain the same copy of data in real time, which eases users the tedious yet error-prone data management burden. However, existing cloud storage synchronization systems are in a closed form. Users are fixed to a certain cloud service provider, which makes it hard to transfer from one provider to another when balancing factors such as performance, cost, security, etc. To bridge this gap, this article proposes a new synchronization system based on standard cloud <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">object</i> storage. Specifically, we first formulate the cloud object storage synchronization problem by defining some useful concepts. We then use the idea of state encoding and a push-pull paradigm to propose a cloud object storage synchronization system. The proposed system supports real-time, multiple-terminal, and cloud-independent storage synchronization. We also prototyped the proposed system. The experimental results show that the proposed system is promising for practical usages.

EPPDP: An Efficient Privacy-Preserving Data Possession With Provable Security in Cloud Storage

With the advancement in technology and the field of cloud computing, many enterprises prefer outsourcing their storage in a public cloud to minimize the maintenance and burden of storing data. Therefore, the data are being stored on remote storage servers without keeping a local copy of the data to perform their core business. However, in the absence of any local copy of data with the data owner, the physical control over the data and possession of data is restrained. Hence, it is essential to achieve privacy in the stored data. Further, while the data user would like to access the data for future use, it needs to preserve its integrity. In this article, we have proposed a low-cost and provably secure data possession scheme in a cloud store.

Multi-Clock Snapshot Isolation Concurrency Control for NVM Database

Multi-Clock Snapshot Isolation (MCSI) is a concurrency control mechanism that implements snapshot isolation on a single-layer Non-Volatile Memory (NVM) database. It stores a single copy of data by using multi-version storage to ensure durability and runtime access. With multi-clock transaction timestamp assignment, MCSI can efficiently generate snapshots with vector clocks and use per-thread transaction status arrays to identify uncommitted versions in NVM. For evaluation, we compared MCSI with the PostgreSQL-style concurrency control used in the single-layer NVM database N2DB. The maximum transaction throughput of MCSI is 101%–195% higher than that of N2DB for the YCSB workloads, and 25%–49% higher for the TPC-C workloads. Moreover, the transaction latency of MCSI remains relatively stable as the thread count increases. With 18 worker threads, the average transaction latency of MCSI is 65%–84% lower than that of N2DB for the YCSB workloads and 16%–43% lower for the TPC-C workloads.

TaiChi: A Hybrid Compression Format for Binary Sparse Matrix-Vector Multiplication on GPU

Binary Sparse Matrix-Vector Multiplication (SpMV) is a heavy computational kernel in weblink analysis, integer factorization, compressed sensing, spectral graph theory, and other domains. Testing several popular GPU-based SpMV implementations on 400 sparse matrices, we observed that data transfer to GPU memory accounts for a large part of the total computation time. The transfer of constant value “1”s can be easily eliminated for binary sparse matrices. However, compressing index arrays has always been a great challenge. This article proposes a new compression format TaiChi to further reduce index data copies and improve the performance of SpMV, especially for diagonally dominant binary sparse matrices. Input matrices are first partitioned into relatively dense and ultra-sparse areas. Then the dense areas are encoded inversely by marking “0”s, while the ultra-sparse area is encoded by marking “1”s. We also designed a new SpMV algorithm only using addition and subtraction for binary matrices based on our partition and encoding format. Evaluation results on real-world binary sparse matrices show that our hybrid encoding for binary matrix significantly reduces the data transfer and speeds up the kernel execution. It achieves the highest transfer and kernel execution speedups of 5.63x and 3.84x on GTX 1080 Ti, 3.39x and 3.91x on Tesla V100.

외국항공사 고객만족에 영향을 미치는 서비스스케이프 요인에 관한 연구 : 지각된 가치의 매개효과를 중심으로

The objectives of this study are to verify the effect of servicescape of foreign airline on perceived values and customer satisfaction, and to verify the mediating effect of perceived values. To achieve the purpose of this study, a survey was conducted among Korean passengers who boarded the Emirates Airline Seoul-Dubai route from June to August 2022. 205 copies of valid data were collected and statistical analysis was performed. As a result of the research, first, among the servicescape factors, aesthetics, courtesy, professionalism, and comfort were identified as factors that positively affect emotional value. Also, aesthetics, convenience, comfort, and appearance have a positive effect on functional values and professionalism, comfort, aesthetics, and convenience were verified as factors that positively affect social value. Second, aesthetics, professionalism, convenience, comfort, and courtesy had a significant impact on customer satisfaction. Third, the mediating effect of perceived value on the effect of servicescape on customer satisfaction was also verified. Through the research results, it was possible to confirm the differentiated servicescape factors of foreign airlines, servicescape factors, which are recognized as important in the COVID-19 situation, and implications for strengthening the competitiveness of domestic airlines were provided.

구직역량의 중요도-만족도 분석을 기반으로 한 교육과정 로드맵 제안: 전문대학 항공서비스과 사례를 중심으로

This study was conducted to provide a curriculum roadmap that meets the educational needs by analyzing the importance and satisfaction of career competency of the students at the aviation service department for successful employment. To achieve the research objectives, a survey was conducted from September 1 to September 15, 2022 for students enrolled in the aviation service department of colleges located in the metropolitan area. 217 copies of valid data were collected and frequency analysis, exploratory factor analysis, paired sample t-test, and IPA analysis were performed. As a result of the study, first, the importance of career competency perceived by students was generally higher than satisfaction. Second, by the difference in the importance-satisfaction of career competency, the priority of competencies were derived. Third, as a result of the curriculum roadmap proposed by IPA analysis, it was analyzed that aviation practical education, foreign language education, and interview education were required as essential subjects, and service education was derived as the next important subject. The importance and satisfaction of career competency, as well as the curriculum roadmap derived through this study, can be used in various ways to find a successful job and to strengthen the career competency of students in the aviation service department.

SRGS: sparse partial least squares-based recursive gene selection for gene regulatory network inference

BackgroundThe identification of gene regulatory networks (GRNs) facilitates the understanding of the underlying molecular mechanism of various biological processes and complex diseases. With the availability of single-cell RNA sequencing data, it is essential to infer GRNs from single-cell expression. Although some GRN methods originally developed for bulk expression data can be applicable to single-cell data and several single-cell specific GRN algorithms were developed, recent benchmarking studies have emphasized the need of developing more accurate and robust GRN modeling methods that are compatible for single-cell expression data.ResultsWe present SRGS, SPLS (sparse partial least squares)-based recursive gene selection, to infer GRNs from bulk or single-cell expression data. SRGS recursively selects and scores the genes which may have regulations on the considered target gene based on SPLS. When dealing with gene expression data with dropouts, we randomly scramble samples, set some values in the expression matrix to zeroes, and generate multiple copies of data through multiple iterations to make SRGS more robust. We test SRGS on different kinds of expression data, including simulated bulk data, simulated single-cell data without and with dropouts, and experimental single-cell data, and also compared with the existing GRN methods, including the ones originally developed for bulk data, the ones developed specifically for single-cell data, and even the ones recommended by recent benchmarking studies.ConclusionsIt has been shown that SRGS is competitive with the existing GRN methods and effective in the gene regulatory network inference from bulk or single-cell gene expression data. SRGS is available at: https://github.com/JGuan-lab/SRGS.

성인발레 참여자의 진지한 여가, 삶의 질, 그리고 재미 간 관계

The purpose of this study is to analyze the serious leisure and quality of life factors of adult ballet amateurs in order to analyze the moderating effect of fun in the relationship between serious leisure and quality of life. The subjects of the study were sampled using the convenience sampling method. As a result of the questionnaire collection, a total of 308 copies of data were used for this survey analysis. Confirmatory factor analysis was conducted to verify the validity and reliability of the variables, and frequency analysis was conducted to examine the distribution of demographic variables. Interaction analysis was conducted through multiple regression analysis to find out the moderating effect of fun factors in the serious leisure and quality of life of adult ballet amateurs. The results of this study are as follows. First, in the relationship between serious leisure and quality of life, compensation factors and professional factors were found to have a significant effect on quality of life. Second, in the relationship between adult ballet amateurs' fun factors and quality of life, it was found that the sub-factors of fun factors had a significant effect on quality of life. Third, as a result of analyzing the moderating effect of fun factors in the relationship between serious leisure and quality of life, there was a significant moderating effect that buffered the negative (-) effect of serious leisure factors on quality of life.

Content Deduplication with Granularity Tweak Based on Base and Deviation for Large Text Dataset

The concept of storage optimization has evolved as one of the hottest research projects in big data which brings out better solutions such as data compression which almost converges towards the deduplication technique. Deduplication is a technique that finds and eliminates duplicate content by storing only the unique copies of data whose efficiency is being qualified based on the amount of duplicate content that they hideout from the data source. The deduplication technique is a well-established storage optimization technique, so in the due course of time, various tweaks have been provided for its betterment, but it quite has some limitations that it cannot determine the tiny changes that occur among similar contents, and the chunks which are generated by segmenting and hashing the data are more sensitive to changes which produce a new chunk for every small change which ruins the concept of storage optimization, so to tackle this, content deduplication with granularity tweak (CDGT) in the Hadoop architecture has been proposed for large text datasets. The CDGT aims to improve the efficiency of deduplication by utilizing the Reed Solomon technique. This pumps out more duplicate content by verifying both intracontent and intercontent as consequence performance enhancements are met, and this system incorporates cluster-based indexing to reduce the time involved in data management activities.

Intermittent-Aware Distributed Concurrency Control

Internet of Things (IoT) devices are gradually adopting battery-less, energy harvesting solutions, thereby driving the development of an intermittent computing paradigm to accumulate computation progress across multiple power cycles. While many attempts have been made to enable standalone intermittent systems, little attention has focused on IoT networks formed by intermittent devices. We observe that the computation progress improved by distributed task concurrency in an intermittent network can be significantly offset by data unavailability due to frequent system failures. This article presents an intermittent-aware distributed concurrency control protocol which leverages existing data copies inherently created in the network to improve the computation progress of concurrently executed tasks. In particular, we propose a borrowing-based data management method to increase data availability and an intermittent two-phase commit procedure incorporated with distributed backward validation to ensure data consistency in the network. The proposed protocol was integrated into a FreeRTOS-extended intermittent operating system running on Texas Instruments devices. Experimental results show that the computation progress can be significantly improved, and this improvement is more apparent under weaker power, where more devices will remain offline for longer duration.