Transformation of Korean HRM based on confucian values

This study aims to find out the role of the Confucian family value in the process of the transformation of Korean HRM and IR in a hypercompetition period. I analyzed the characteristics and the transformation of Korean companies HRM as well as the core value system of Confucian familism. I suggest that a successful transformation of HRM in Korean companies requires an interplay between two factors. First is the genetic factor based on traditional Confucian culture of Korea (i.e., the DNA of Korean HRM), of which its advantages must be respected and preserved. Second factor is an adaptation ability, which modifies its own core competency and routine through an interaction with the environment. Korean HRM stands at a turning point now. The Korean economy is facing a hyper-competition in the global market. To survive, Korean companies have to improve their competitiveness. Also they must solve the problem of seniority-based HRM of Confucian values that hinders their competitiveness. To confront an inevitable transformation of the management system, Korean companies tried to solve the problem by bringing in a rapid growth process of North American HRM practices. But, unanticipated side effect has occurred in this process. As American HRM was uniformly adopted, traditional teamwork, organizational loyalty, and the advantages of traditional Korean companies were damaged. So many companies have shown a problem of decreased organizational effectiveness. In the case of employment relations, the rapid layoff and an increase of temporary workers via organizational restructuring have caused an increase of transaction cost of labor because of union resistance. These kinds of mistakes were caused by a culture clash between Korean corporate reality based on a Confucian tradition and American management policies. But some companies, which have maintained traditional HRM characteristics, maximized the advantages of Confucian ideology and at the same time have adopted HRM policies based on performance in their own way. These companies succeeded in the transformation of HRM with less conflict with their labor union. Therefore, we need to pay an attention to the genetic factors of Korean HRM practices in order to understand and achieve successful transformation of Korean HRM practices

Incremental Few-Shot Object Detection via Simple Fine-Tuning Approach

In this paper, we explore incremental few-shot object detection (iFSD), which incrementally learns novel classes using only a few examples without revisiting base classes. Previous iFSD works achieved the desired results by applying meta-learning. However, meta-learning approaches show insufficient performance that is difficult to apply to practical problems. In this light, we propose a simple fine-tuning-based approach, the Incremental Two-stage Fine-tuning Approach (iTFA) for iFSD, which contains three steps: 1) base training using abundant base classes with the class-agnostic box regressor, 2) separation of the RoI feature extractor and classifier into the base and novel class branches for preserving base knowledge, and 3) fine-tuning the novel branch using only a few novel class examples. We evaluate our iTFA on the real-world datasets PASCAL VOC, COCO, and LVIS. iTFA achieves competitive performance in COCO and shows a 30% higher AP accuracy than meta-learning methods in the LVIS dataset. Experimental results show the effectiveness and applicability of our proposed method.Comment: Accepted to ICRA 202

A study on modeling nitrogen dioxide concentrations using land-use regression and conventionally used exposure assessment methods

The land-use regression (LUR) approach to estimate the levels of ambient air pollutants is becoming popular due to its high validity in predicting small-area variations. However, only a few studies have been conducted in Asian countries, and much less research has been conducted on comparing the performances and applied estimates of different exposure assessments including LUR. The main objectives of the current study were to conduct nitrogen dioxide (NO2) exposure assessment with four methods including LUR in the Republic of Korea, to compare the model performances, and to estimate the empirical NO2 exposures of a cohort. The study population was defined as the year 2010 participants of a government-supported cohort established for bio-monitoring in Ulsan, Republic of Korea. The annual ambient NO2 exposures of the 969 study participants were estimated with LUR, nearest station, inverse distance weighting, and ordinary kriging. Modeling was based on the annual NO2 average, traffic-related data, land-use data, and altitude of the 13 regularly monitored stations. The final LUR model indicated that area of transportation, distance to residential area, and area of wetland were important predictors of NO2. The LUR model explained 85.8% of the variation observed in the 13 monitoring stations of the year 2009. The LUR model outperformed the others based on leave-one out cross-validation comparing the correlations and root-mean square error. All NO2 estimates ranged from 11.3–18.0 ppb, with that of LUR having the widest range. The NO2 exposure levels of the residents differed by demographics. However, the average was below the national annual guidelines of the Republic of Korea (30 ppb). The LUR models showed high performances in an industrial city in the Republic of Korea, despite the small sample size and limited data. Our findings suggest that the LUR method may be useful in similar settings in Asian countries where the target region is small and availability of data is low

A Genetic Algorithm with Location Intelligence Method for Energy Optimization in 5G Wireless Networks

The exponential growth in data traffic due to the modernization of smart devices has resulted in the need for a high-capacity wireless network in the future. To successfully deploy 5G network, it must be capable of handling the growth in the data traffic. The increasing amount of traffic volume puts excessive stress on the important factors of the resource allocation methods such as scalability and throughput. In this paper, we define a network planning as an optimization problem with the decision variables such as transmission power and transmitter (BS) location in 5G networks. The decision variables lent themselves to interesting implementation using several heuristic approaches, such as differential evolution (DE) algorithm and Real-coded Genetic Algorithm (RGA). The key contribution of this paper is that we modified RGA-based method to find the optimal configuration of BSs not only by just offering an optimal coverage of underutilized BSs but also by optimizing the amounts of power consumption. A comparison is also carried out to evaluate the performance of the conventional approach of DE and standard RGA with our modified RGA approach. The experimental results showed that our modified RGA can find the optimal configuration of 5G/LTE network planning problems, which is better performed than DE and standard RGA

Challenges Experienced by Korean Medical Students and Tutors During Problem-Based Learning: A Cultural Perspective

How people learn is influenced by the cultural contexts in which their learning occurs. This qualitative case study explored challenges Korean medical students and tutors experienced during their PBL sessions from a cultural perspective using Hofstede’s cultural dimensions. Twelve preclinical medical students and nine tutors from a large Korean medical school participated in interviews. The interview data were analyzed using the constant comparative method and classified according to Hofstede’s cultural dimensions. Twenty-two themes emerged within the following overarching categories: large power distance (6 themes), high uncertainty avoidance (6), individualism (3), collectivism (4), and masculinity/short-term orientation (3). This article discusses culturally responsive solutions with regard to each cultural dimension, which would help overcome these challenges and enhance the experiences of students and tutors with PBL

2.45 GHz Active Isolator based on asymmetric coupler

An active isolator achieving both high isolation and low insertion loss at 2.45 GHz is proposed. The isolator is based on an asymmetric coupler and is designed to leverage the gain and reverse isolation of an amplifier and coupling coefficients between the input and output of the coupler. The insertion loss and isolation of the isolator are enhanced by using the coefficients, and the power level with optimal isolation can be determined for a target specification. The asymmetric coupler increases the power handling capability of the proposed isolator that has a low coupling coefficient and achieves highly efficient isolation with a high coupling coefficient. Electromagnetic-circuit co-simulation results show that the proposed isolator with operation stability has ≥40 dB isolation and <1 dB insertion loss for input power between 0−8 dBm

Ru-Catalyzed, cis-Selective Living Ring-Opening Metathesis Polymerization of Various Monomers, Including a Dendronized Macromonomer, and Implications to Enhanced Shear Stability

An unsaturated polymer’s cis/trans-olefin content has a significant influence on its properties. For polymers obtained by ring-opening metathesis polymerization (ROMP), the cis/trans-olefin content can be tuned by using specific catalysts. However, cis-selective ROMP has suffered from narrow monomer scope and lack of control over the polymerization (giving polymers with broad molecular weight distributions and prohibiting the synthesis of block copolymers). Herein, we report the versatile cis-selective controlled living ROMP of various endo-tricyclo[4.2.2.0^(2,5)]deca-3,9-diene and various norbornene derivatives using a fast-initiating dithiolate-chelated Ru catalyst. Polymers with cis-olefin content as high as 99% could be obtained with high molecular weight (up to M_n of 105.1 kDa) and narrow dispersity (<1.4). The living nature of the polymerization was also exploited to prepare block copolymers with high cis-olefin content for the first time. Furthermore, owing to the successful control over the stereochemistry and narrow dispersity, we could compare cis- and trans-rich polynorbornene and found the former to have enhanced resistance to shear degradation