• International Journal of Contents
• /
• v.7 no.1
• /
• pp.23-28
• /
• 2011

In a SoC (system-on-chip) design, a design complexity is a big bottleneck. In order to overcome the design complexity, platform based design method is widely adopted for designers. Most complex SoCs need a heterogeneous design development environment for hardware and software co-design. In this paper, we discuss about some kinds of verification approaches with platform based design methodology at various abstraction levels of SoC design. We separate the verification process to two steps according to the different levels of verification. We employ a flexible SoC design environment to support simultaneous hardware and software development. We demonstrate the verification strategy of a target SoC design, IEEE 802.11a WLAN SoC.

• ETRI Journal
• /
• v.44 no.3
• /
• pp.400-412
• /
• 2022

In cognitive radio networks (CRNs), the computational complexity of resource allocation algorithms is a significant problem that must be addressed. However, the high computational complexity of the optimal solution for tackling resource allocation in CRNs makes it inappropriate for use in practical applications. Therefore, this study proposes a power-based pricing algorithm (PPA) primarily to reduce the computational complexity in downlink CRN scenarios while restricting the interference to primary users to permissible levels. A two-stage approach reduces the computational complexity of the proposed mathematical model. Stage 1 assigns subcarriers to the CRN's users, while the utility function in Stage 2 incorporates a pricing method to provide a power algorithm with enhanced reliability. The PPA's performance is simulated and tested for orthogonal frequency-division multiplexing-based CRNs. The results confirm that the proposed algorithm's performance is close to that of the optimal algorithm, albeit with lower computational complexity of O(M log(M)).

• Journal of the Korean Society for Aviation and Aeronautics
• /
• v.28 no.1
• /
• pp.22-33
• /
• 2020

Due to recent increased air traffic,, air traffic controllers in charge of en-route and approach control have faced huge increase in both workload and its intensity. The purpose of this paper is to analyze how much safety culture of air traffic controllers has effect on their complexity mitigation strategies during their duties. It could be expected complexity mitigation improve air traffic flow resulting in enhancing safety eventually. According to empirical analysis against air traffic controllers in civil aviation and air force in South Korea, it was proven safety culture had a statistically positive effect on complex mitigation strategies through safety behavior. In safety culture among air traffic controllers, intrinsic culture had a positive effect on extrinsic value of safety culture. Intrinsic value of safety culture led to air traffic controllers' safety behavior which created work complexity mitigation strategies. Among work complexity mitigation strategies, communication and cooperation was proven to be the most important factor effected by safety culture and behavior. It was implied that enhancing the intrinsic values of safety culture would cause to improve extrinsic safety culture and air traffic controller's work efficiency.

• Molecules and Cells
• /
• v.37 no.3
• /
• pp.248-256
• /
• 2014

N-acetylglucosamine kinase (GlcNAc kinase or NAGK; EC 2.7.1.59) is a N-acetylhexosamine kinase that belong to the sugar kinase/heat shock protein 70/actin superfamily. In this study, we investigated both the expression and function of NAGK in neurons. Immunohistochemistry of rat brain sections showed that NAGK was expressed at high levels in neurons but at low levels in astrocytes. Immunocytochemistry of rat hippocampal dissociate cultures confirmed these findings and showed that NAGK was also expressed at low levels in oligodendrocytes. Furthermore, several NAGK clusters were observed in the nucleoplasm of both neuron and glia. The overexpression of EGFP- or RFP (DsRed2)-tagged NAGK in rat hippocampal neurons (DIV 5-9) increased the complexity of dendritic architecture by increasing the numbers of primary dendrites and dendritic branches. In contrast, knockdown of NAGK by shRNA resulted in dendrite degeneration, and this was prevented by the co-expression of RFP-tagged NAGK. These results suggest that the upregulation of dendritic complexity is a non-canonical function of NAGK.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.9 no.6
• /
• pp.2271-2288
• /
• 2015

The emerging high efficiency video coding (HEVC) standard adopts the quadtree-structured transform unit (TU) in the residual quadtree (RQT) coding. Each TU allows to be split into four equal sub-TUs recursively. The RQT coding is performed for all the possible transform depth levels to achieve the highest coding efficiency, but it requires a very high computational complexity for HEVC encoders. In order to reduce the computational complexity requested by the RQT coding, in this paper, we propose a fast TU size decision method incorporating an adaptive maximum transform depth determination (AMTD) algorithm and a full check skipping - early termination (FCS-ET) algorithm. Because the optimal transform depth level is highly content-dependent, it is not necessary to perform the RQT coding at all transform depth levels. By the AMTD algorithm, the maximum transform depth level is determined for current treeblock to skip those transform depth levels rarely used by its spatially adjacent treeblocks. Additionally, the FCS-ET algorithm is introduced to exploit the correlations of transform depth level between four sub-CUs generated by one coding unit (CU) quadtree partitioning. Experimental results demonstrate that the proposed overall algorithm significantly reduces on average 21% computational complexity while maintaining almost the same rate distortion (RD) performance as the HEVC test model reference software, HM 13.0.

• The Journal of the Korea Contents Association
• /
• v.18 no.11
• /
• pp.484-492
• /
• 2018

This study examined the effects of field complexity and type of target objects on the performance in baggage screening task. A total of 62 participants(male: 45.2%, female: 54.8%) participated and their mean age was 22.88. The simulated baggage screening task was developed for this study and after the orientation and task exercises, main experiment session was conducted. Participants performed a total of 200 tasks and 40(20%) contained target object. The complexity was set at three levels: high, middle, and low levels and the number of background items contained 20, 14. and 8 respectively. The type of target was set as gun, knife, liquid, and righter. The dependent variables were hit ratio and reaction time. The results showed that the hit ratio decreased and reaction time increased significantly as field complexity increased, and they varied depending on the type of target. The hit ratio of the knife was the highest and liquid lowest and reaction time of the knife was the fastest and liquid slowest. In addition, the interaction effect was also significant. Knife was not affected by complexity, however, small item such as lighter was most affected by complexity.

• Journal of the Korean Institute of Landscape Architecture
• /
• v.27 no.1
• /
• pp.11-18
• /
• 1999

The objective of this study are to figure out the physical attributes of the three predictors in the Informational Approach: complexity, coherence, mystery and to investigate the relationships between these attributes and the preference exploratively. Visual inspection of the scenes relative to their rated levels of the predictors revealed the existence of relationship between these variables and the physical attributes. The following are the summary of the relationship between three predictors and the physical attributes: (1) The level of complexity was associated with the pattern of physical attributes which were the amount of facility, line, shape, color plant and arrangement of the visual elements. (2) The level of coherence was related with the regular arrangement of the visual elements. For example, there was certain pattern founded the color, shape, texture was applied to the various space repetitively and symmetrically. (3) The level of mystery had the relationship with the physical attributes of screen, spatial definition, distance of view, physical accessibility, radiant forest, the depth of space.

• Journal of Korean Society for Quality Management
• /
• v.50 no.4
• /
• pp.777-792
• /
• 2022

Purpose: This paper investigates the effects of leader feedback on employee creative problem-solving behavior. It also explores the relevant conditions that maximize the above relationship from the psychological trait and task nature perspectives. Specifically we examine how employee feedback acceptance and task complexity moderate the relationship between leader's feedback behavior on follower creative problem-solving behavior. Finally the three-way interaction among leader's feedback behavior, employee feedback acceptance and task complexity is analyzed for the best conditions to maximize the positive effect of leader's feedback on creative problem solving behavior. Methods: This paper used a cross-sectional design with questionnaires administered to 411 employees working in Korean manufacturing and service firms. It applied a hierarchical regression analysis to test the hypothesized relationships including three-way interaction effect among leader's feedback behavior, follower feedback acceptance and task complexity on follower creative problem-solving behavior. Results: The empirical results of the paper indicated that the leader feedback behavior had enhanced employee creative problem-solving behavior. It was also found that follower feedback acceptance and task complexity positively moderated the relationship between leader's feedback and follower problem solving behavior. In addition, the test of three-way interaction effects also revealed that the higher the levels of both employee feedback acceptance and task complexity, the greater the positive effect of leader feedback behavior on employee creative problem solving behavior. Conclusion: This paper contributes to the leadership and creativity literatures by identifying the role of leader's behavior enhancing employee creative problem-solving behavior and the specific conditions strengthening the positive effect of leader feedback behavior on employee creative problem-solving behavior.

• The Research Journal of the Costume Culture
• /
• v.8 no.1
• /
• pp.30-39
• /
• 2000

The purpose of this study were to 1) identify types and levels of production environments, 2) classify apparel manufacturers based on production environments and 3) investigate relationship between characteristics of apparel manufacturers and production environment. Apparel manufacturer's characteristics included product line and the number of employees. For this study, the questionnaires were administered to 215 apparel manufacturers in seoul and Kyung-gi region from Feb. to Mar. 1998. Employing a sample of 201, data were analyzed by factor analysis, descriptive statistics, cluster analysis, cluster analysis, discriminant Analysis, and multivariate analysis of variance. The following are the results of this study : 1. The production environment was identified as three types such as complexity of product environment, uncertainty of demand/supply environment and uncertainty of worker environment. 2. Based on three types of the production environment, apparel manufacturers were classified into stable group, uncertain group and complicated group. 3. With respect to product line, men's wear manufacturers were lied the most high complexity of product environment, casual wear and knit wear were lied the most frequently uncertainty of worker environment. With respect to the number employees, apparel manufacturers comprising 50∼99 employees were lied the most high complexity of product environment, while those comprising 100∼299 employees the most high demand/supply environment.

• Journal of Korea Society of Industrial Information Systems
• /
• v.12 no.4
• /
• pp.41-54
• /
• 2007

To make most out of Order Review/Release(ORR) models, they are to be analyzed and classified according to their prospective users' requirements. To this end, we discuss ORR functions and so-called "ORR paradox", and propose an ORR model classification scheme named "COMPACT(COMplexity-imPACT) Matrix". Under the scheme, the complexity and impact levels of each ORR model are rated one after another in order to position it across the matrix. We explore the process and present the results, insisting that a DSS should suggest ORR models to its users on the complexity-impact basis.