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The effect of Organizational Culture on Organizational Justice and Job Performance

  • Moon Jun Kim;Lee Soowook
    • International journal of advanced smart convergence
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    • v.13 no.2
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    • pp.154-165
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    • 2024
  • The purpose of this study is to investigate the relationship between organizational culture (innovation culture, relationship culture, hierarchy culture, task culture) as perceived by organizational members and its impact on organizational justice and job performance. This contributes to providing additional data for the revitalization and development of the organizational system for efficient management and operation measures included in the organization's sustainable management. To this end, the hypothesis established through the traditional process of quantitative research was tested as follows. First, organizational culture showed a positive effect on organizational justice. Second, organizational culture had a positive (+) effect on job performance. Third, organizational justice was significantly analyzed in terms of job performance. In other words, the importance of systematic re-establishment and continuous implementation of organizational culture (innovation culture, relationship culture, hierarchy culture, task culture) and organizational justice consistent with organizational characteristics was emphasized in order to improve job performance, which is the result of organizational competitiveness. In addition, it is the aspect of drawing practical implications for strategic human resource management and human resource development to systematically improve it.

Validation of Factors Influencing Intentions for Altcoin Investment: Focused on UTAUT Model (알트코인 투자 수용의도에 대한 영향요인 검증: UTAUT 모델을 중심으로)

  • Kim, Jae Min;Lee Won Boo
    • Journal of Korean Society for Quality Management
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    • v.52 no.1
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    • pp.115-133
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    • 2024
  • Purpose: The purpose of research is to explore the factors influencing the intention to adopt altcoin investments, based on the Unified Theory of Acceptance and Use of Technology. Through this, it seeks to elucidate the key factors impacting altcoin investment adoption, and provide a comprehensive understanding of the crypto-currency market and investor behavior. Methods: This study analyzed factors affecting altcoin investment intentions using frequency and descriptive analyses, and verified socio-demographic differences with t-tests and ANOVA. Exploratory factor and correlation analyses were conducted for research tool validity and relationship assessment among variables. Hypotheses were tested through regression analysis, integrating control, independent, and moderating variables, along with interaction terms, to establish the model and examine moderating effects. Results: As a result, it is revealed that higher age and experience in crypto-currency investment are associated with intention to invest. Among the independent variables, performance expectancy, social influence, facilitating conditions, and personal innovativeness have positive effects to investment intention to invest, while effort expectancy had a negative effect. The moderating variable, perceived risk, also negatively affected the intention to invest. Notably, significant moderating effects of perceived risk were observed in the relationships between investment intention and both performance expectancy and personal innovativeness. Conclusion: This study provides empirical verification into consumers' intentions to invest in altcoins, offering insights into investors' behavior and decision-making processes based on a practical understanding of altcoin investment acceptance.

The Evaluation of Spatial Resolution of Stationary-gantry Sparse-view CT Security-screening System (고정형(Stationary-gantry) 희소뷰(Sparse-view) CT 보안검색시스템의 공간분해능 평가)

  • YoungJo Kim;KwangYoon Choi;Chunhe Zheng;HyeongKyu Park
    • Journal of Radiation Industry
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    • v.17 no.4
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    • pp.377-384
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    • 2023
  • In this study, the image quality assessment, especially spatial resolution evaluation, for Sparse-view CT reconstructed images was performed. The main goal of the experiment is to evaluate Modulation Transfer Function by using American Standard Method for Measurement of Computed Tomography System Performance(ASTM E1695-95) which uses the edge test object. To compare with the ASTM method, a different method, the radial-type edge profile, to measure MTF using the edge method also performed. Both approaches were tested on the same image acquired by the stationary-gantry sparse-view CT security-screening system using cylindrical test phantom manufactured in accordance with ANSI 42.45. Both of the spatial resolutions at 10% modulation are 0.195, 0.203lp pixel-1, respectively. The method implemented by ASTM E1695-95 showed higher reliability and had a relatively more accurate spatial resolution result than the radial-type edge profile method.

Correlation of rebound hammer and ultrasonic pulse velocity methods for instant and additive-enhanced concrete

  • Yudhistira J.U. Mangasi;Nadhifah K. Kirana;Jessica Sjah;Nuraziz Handika;Eric Vincens
    • Structural Monitoring and Maintenance
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    • v.11 no.1
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    • pp.41-55
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    • 2024
  • This study aims to determine the characteristics of concrete as identified by Rebound Hammer and Ultrasonic Pulse Velocity (UPV) tests, focusing particularly on their efficacy in estimating compressive strength of concrete material. The study involved three concrete samples designed to achieve a target strength of 29 MPa, comprising normal concrete, instant concrete, and concrete with additives. These were cast into cube specimens measuring 150×150×150 mm. Compressive strength values were determined through both destructive and non-destructive testing on the cubic specimens. As a result, the non-destructive methods yielded varying outcomes for each correlation approach, influenced by the differing constituent materials in the tested concretes. However, normal concrete consistently showed the most reliable correlation, followed by concrete with additives, and lastly, instant concrete. The study found that combining Rebound Hammer and UPV tests enhances the prediction accuracy of compressive strength of concrete. This synergy was quantified through multivariate regression, considering UPV, rebound number, and actual compressive strength. The findings also suggest a more significant influence of the Rebound Hammer measurements on predicting compressive strength for BN and BA, whereas UPV and RN had a similar impact on predicting BI compressive strength.

Two-Demensional Nonlinear Analysis of Precast Segmental PSC-I Girder with Wet Joint (습식접합부를 갖는 프리캐스트 세그먼트 PSC-I형 거더의 2차원 비선형해석)

  • Kim, Kwang-Soo;Hong, Sung-Nam;Han, Kyoung-Bong;Park, Sun-Kyu
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.11 no.6
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    • pp.103-112
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    • 2007
  • The purpose of this study is to evaluate the characteristics of the structural behavior in precast segmental prestressed concrete girders, which consist of five precast segments. These girders were developed to save labor and cost in construction field reducing a term of work. Therefore, four different types of specimens of 25m in length were built, and they were tested and analyzed for observing flexural behavior. The analysis included the investigation of the flexural behaviors in varying tendon amount and at joints using the relationship between moment and deflection. Moreover, nonlinear finite element analysis was utilized to verify the experimental result.

A Study on the Interaction with Virtual Objects through XR Hands (XR Hands를 통한 가상 객체들과의 상호 작용에 관한 연구)

  • BeomJun Jo;SeongKi Kim
    • Journal of the Korea Computer Graphics Society
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    • v.30 no.3
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    • pp.43-49
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    • 2024
  • Hand tracking is currently one of the most promising technologies in XR with the release of extended reality (XR) devices, in which hand tracking is used as the main manipulation. Hand tracking offers advantages in terms of immersion and realism, and as a result, it is being employed in a range of fields, including education, business, and medical care. The archery movement requires using both hands at the same time, but requires sophistication to hit the target and is a movement that has cultural and sports significance in the past. This study aimed to implement this archery movement. Therefore, this paper used the XR Hands package provided by Unity to recognize hand movements, explored the underlying OpenXR, and finally implemented the archery movement and tested it in Meta Quest 2.

Evaluation of direct tensile strength for ultra-high-performance concrete using machine learning algorithms

  • Sanghee Kim;Woo-Young Lim
    • Computers and Concrete
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    • v.34 no.3
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    • pp.367-378
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    • 2024
  • This study evaluates the direct tensile strength of ultra-high-performance concrete (UHPC) using tests. A total of 45 dogbone-shaped specimens are tested, with the test variables being the fiber volume fraction and notch length. The test results showed that the material properties of UHPC were largely dependent on the fiber volume fraction and compressive strength. When steel fibers with more than 1% fiber volume fraction are mixed in the manufacturing of UHPC, the tensile strength can be more than twice that of plain UHPC. In addition, the incorporation of steel fibers enabled the significant improvement of the initial cracking strength. However, the effect of the notch length on the tensile behavior was insignificant. An assessment of the direct tensile strength is conducted using machine-learning algorithms (ML). For evaluation of the direct tensile strength of UHPC using ML, a total of 98 test data, including 53 data from other research works and 45 data from this experimental program, were collected. In total, 67 data with a 70% confidence interval on a normal distribution curve were selected, with 47 data among 67 used for ML training and 20 data used for ML testing. As a result, the machine-learning algorithm with a steel fiber volume fraction predicted that the tensile strength has an average of 0.98 and the lowest values of regression evaluation metrics among analytical and ML-based models. It is considered that an ML-based model can help to predict a more accurate tensile strength of UHPC.

Effects of Functional Electrical Stimulation on Muscle Function and Gait Ability (기능적 전기자극 적용이 근육 및 보행 기능에 미치는 영향)

  • Jae-Hu Jung;Woen-Sik Chae
    • Korean Journal of Applied Biomechanics
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    • v.34 no.3
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    • pp.125-132
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    • 2024
  • Objective: The purpose of this research was to analyze the effects of applying functional electrical stimulation (FES) on function of the ankle joint and gait ability of the elderly. Method: In this research, 12 male participants over 65 who have no musculoskeletal disorder were recruited as research subjects. For this research, in order to analyze the function of the ankle joint and gait ability of the elderly depending on the application of FES, all subjects were tested WF (with FES) and WOF (without FES) in random order and 72-hour of resting was assigned between the conditions. For WF condition, 30-minute of FES treatment (frequency 90 Hz, pulse width 400 ㎲, on-off ratio 1:1) on ankle joint basal flexor muscle was implemented, and afterwards, Isokinetic muscle function on the ankle joint and gait ability were conducted for each condition. Results: The result showed that the maximum strength of ankle joint basal flexion motion WF statistically significantly increased compared to WOF. The single support ratio of gait motion WF statistically significantly decreased compared to that WOF. Conclusion: Thus, applying FES is considered to mitigate the functional decline of basal flexor of the elderly, and furthermore, it is considered to have positive effect on improvement of gait ability.

Comparative Analysis of Intrusion Detection Attack Based on Machine Learning Classifiers

  • Surafel Mehari;Anuja Kumar Acharya
    • International Journal of Computer Science & Network Security
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    • v.24 no.10
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    • pp.115-124
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    • 2024
  • In current day information transmitted from one place to another by using network communication technology. Due to such transmission of information, networking system required a high security environment. The main strategy to secure this environment is to correctly identify the packet and detect if the packet contain a malicious and any illegal activity happened in network environments. To accomplish this we use intrusion detection system (IDS). Intrusion detection is a security technology that design detects and automatically alert or notify to a responsible person. However, creating an efficient Intrusion Detection System face a number of challenges. These challenges are false detection and the data contain high number of features. Currently many researchers use machine learning techniques to overcome the limitation of intrusion detection and increase the efficiency of intrusion detection for correctly identify the packet either the packet is normal or malicious. Many machine-learning techniques use in intrusion detection. However, the question is which machine learning classifiers has been potentially to address intrusion detection issue in network security environment. Choosing the appropriate machine learning techniques required to improve the accuracy of intrusion detection system. In this work, three machine learning classifier are analyzed. Support vector Machine, Naïve Bayes Classifier and K-Nearest Neighbor classifiers. These algorithms tested using NSL KDD dataset by using the combination of Chi square and Extra Tree feature selection method and Python used to implement, analyze and evaluate the classifiers. Experimental result show that K-Nearest Neighbor classifiers outperform the method in categorizing the packet either is normal or malicious.

A study on the shear bond strengths of veneering ceramics to the colored zirconia core (착색지르코니아 코어와 전장 도재 사이의 전단결합강도에 관한 연구)

  • Kang, Sun-Nyo;Cho, Wook;Jeon, Young-Chan;Jeong, Chang-Mo;Yun, Mi-Jung
    • The Journal of Korean Academy of Prosthodontics
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    • v.47 no.3
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    • pp.312-319
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    • 2009
  • Statement of problem: Delamination of veneering porcelain from underlying ceramic substructures has been reported for zirconia-ceramic restorations. Colored zirconia cores for esthetics have been reported that their bond strength with veneered porcelain is weaker compared to white zirconia cores. Purpose: This study aimed to investigate the shear bond strength by manufacturing the veneering porcelain on the colored zirconia core, using the layering technique and heat-pressing technique, and to evaluate the clinical stability by comparing the result of this with that of conventional metal ceramic system. Material and methods: A Metal ceramic (MC) system was tested as a control group. The tested systems were Katana zirconia with CZR (ZB) and Katana Zirconia with NobelRondo Press (ZP). Thirty specimens, 10 for each system and control, were fabricated. Specimen disks, 3 mm high and 12 mm diameter, were fabricated with the lost-wax technique (MC) and the CAD-CAM (ZB and ZP). MC and ZB specimens were prepared using opaque and dentin veneering ceramics, veneered, 3 mm high and 2.8 mm in diameter, over the cores. ZP specimens were prepared using heat pressing ingots, 3 mm high and 2.8mm in diameter. The shear bond strength test was performed in a Shear bond test machine. Load was applied at a cross-head speed of 0.50 mm/min until failure. Mean shear bond strengths (MPa) were analyzed with the One-way ANOVA. After the shear bond test, fracture surfaces were examined by SEM. Results: The mean shear bond strengths (SD) in MPa were MC control 29.14 (2.26); ZB 29.48 (2.30); and ZP 29.51 (2.32). The shear bond strengths of the tested systems were not significantly different (P > .05). All groups presented cohesive and adhesive failures, and showed predominance of cohesive failures in ceramic veneers. Conclusion: 1. The shear bond strengths of the tested groups were not significantly different from the control group (P >.05). 2. There was no significant different between the layering technique and the heat pressing technique in the veneering methods on the colored zirconia core. 3. All groups presented cohesive and adhesive failures, and showed predominance of cohesive failures in ceramic veneers.