Recently, unmanned logistics delivery systems, such as UAV (Unmanned Aerial Vehicle, written as drone below) and autonomous robot delivery systems, have been implemented in many countries due to the rapid development of autonomous driving technology. The development of these new types of advanced unmanned logistics delivery systems is essential not only to become a leading logistics company but also to secure national competitiveness. In this paper, the application of the unmanned logistics delivery system was investigated in terms of market trends, overall technology level of last mile delivery drone and autonomous delivery robot. The direction of response to changes in the last mile delivery service market was checked through a comparison of the technological level between domestic companies that produce last mile devices and advanced foreign companies. As a result of this technology level analysis, the difference between domestic companies and advanced companies was shown using tables and figures to show their relative levels. The results of this analysis reflect the opinions of experts in the field of last-mile delivery technology. In addition, the technology level of unmanned logistics delivery systems for each country was analyzed based on the number of related technology patents. Lastly, insights for the technology level analysis of unmanned last mile delivery systems were proposed as a conclusion.

Postal logistics organizations are characterized as having high labor intensity and short response times. These characteristics, along with rapid change in mail volume, make load scheduling a fundamental concern. Load analysis of major postal infrastructures such as post offices, sorting centers, exchange centers, and delivery stations is required for optimal postal logistics operation. In particular, the performance of mail traffic forecasting is essential for optimizing the resource operation by accurate load analysis. This paper addresses a traffic forecast problem of postal parcel that arises at delivery stations of Korea Post. The main purpose of this paper is to describe a method for predicting short-term traffic of postal parcel based on self-similarity analysis and to introduce an application of the traffic prediction model to postal logistics system. The proposed scheme develops multiple regression models by the clusters resulted from feature engineering and individual models for delivery stations to reinforce prediction accuracy. The experiment with data supplied by main postal delivery stations shows the advantage in terms of prediction performance. Comparing with other technique, experimental results show that the proposed method improves the accuracy up to 45.8%.

This study defines Korean wave stars as Korean wave human brands and examines the influence of the characteristics, attachment, and self-congruity of the Korean wave human brand on brand equity. For this, this study surveyed Chinese female consumers in their 20s and 30s who consume many Korean wave products from May 2018 to June 2018. First, human brand characteristics, attachment, self-congruity, Korean wave aspiration level, and brand equity according to demographic characteristics were identified. Second, characteristics, attachment, self-congruity, and the aspiration level of the Korean wave human brand showed correlations with brand equity. However, brand awareness, a sub-factor of brand equity, does not show correlations with self-congruity. Third, characteristics, attachment, self-congruity, and Korean wave aspiration level had a positively influenced brand equity. Fourth, when looking into the mediated effect of attachment on brand equity, both human brand characteristics and self-congruity showed a partially mediated effect. Fifth, when analyzing the adjustment effect in the Korean wave aspiration level, a group with higher Korean wave aspiration level showed more correlations with attachment and brand equity. This study found that attachment and self congruity are important elements in forming human brand and brand equity. This study is significant in that it verified the influence of Korean wave brand power that has been on the rise recently on brand equity and provided a theoretical basis that has allowed researchers to determine that the characteristics, attachment, and self-congruity of Korean wave human brand significantly influence brand equity.

Little is known to date about neural development of pig and directed differentiation of porcine pluripotent stem cells (PSCs) to neuronal cells remains elusive. To determine whether soluble factors from glioblastoma multiforme (GBM) promoted the neural differentiation from porcine induced PSCs (iPSCs), cells were treated cultured media of GBM cells. First of all, we isolated and established primary GBM cell line (WHO grade IV). The cellular morphology of GBM cancer cell line are dendritic-like with positive expression in NESTIN, SOX2, VIMENTIN and GFAP using immunofluorescence analysis. G-banded karyotype from primary GBM cell line revealed severe numerical chromosomal aberrations. GBM-cultured medium (CM) treated iPSC-NPCs survive well in vitro when supplemented with a combination of growth factors, including EGF and bFGF. The GBM-CM treated differentiated cells showed an increased mRNA expression level of astrocyte marker, GFAP and the dopaminergic neuron marker, tyrosine hydroxylase (TH). However, there was no significant difference in mRNA expression level of oligodendrocyte marker, MBP. The protocol developed in the present study for large animal models might provide an exciting tool to bridge the present gaps in neuroscience studies between rodents and humans.

A meningioma is the second most common primary intracranial tumor of the central nervous system. One critical obstacle in meningioma research and preclinical development of novel therapeutic agents is a relative lack of suitable preclinical in vitro and in vivo model systems. In the current study, we assessed the proliferative characteristics of patient derived five primary meningioma cancer cell lines (WHO grade I and II) from brain tumor lesions. All of the meningioma cell lines showed homogenous expression of meningioma marker, VIMENTIN. The GTG-banding analysis determined the existence of different patterns of chromosomal abnormalities in representative cancer cell lines. The almost of the meningioma cell lines showed homogeneously spindle shaped cells, except for M160425 which have two prominent cell morphologies, spindle and round. Population-doubling (PD) was measured for every passage. The M160425 cell line had significantly longer PD time (39.8 ± 0.9 h, P<0.05) than the other meningioma cell lines. Consistent with the PD time, we confirmed that mRNA expression of Ki67, the conventional proliferation marker, was significantly lower in M160425 cell line compared to the other cell lines. The correlation between the PD time and the abundance of Ki67 in the meningioma derived cell lines was negative, indicating higher Ki67 abundance and a shorter PD time. The patient derived meningioma cancer cell lines established in this study might contribute to understanding cancer biology and help the success in the clinic by explaining the slightly different clinical behavior among the patients.

To identify the cause of the error and maintain the health of system, an administrator usually analyzes event log data since it contains useful information to infer the cause of the error. However, because today’s systems are huge and complex, it is almost impossible for administrators to manually analyze event log files to identify the cause of an error. In particular, as OpenStack, which is being widely used as cloud management system, operates with various service modules being linked to multiple servers, it is hard to access each node and analyze event log messages for each service module in the case of an error. For this, in this paper, we propose a novel message-based log analysis method that enables the administrator to find the cause of an error quickly. Specifically, the proposed method 1) consolidates event log data generated from system level and application service level, 2) clusters the consolidated data based on messages, and 3) analyzes interrelations among message groups in order to promptly identify the cause of a system error. This study has great significance in the following three aspects. First, the root cause of the error can be identified by collecting event logs of both system level and application service level and analyzing interrelations among the logs. Second, administrators do not need to classify messages for training since unsupervised learning of event log messages is applied. Third, using Dynamic Time Warping, an algorithm for measuring similarity of dynamic patterns over time increases accuracy of analysis on patterns generated from distributed system in which time synchronization is not exactly consistent.

Several fields of science have demanded large-scale workflow support, which requires thousands of CPU cores or more. In order to support such large-scale scientific workflows, high capacity parallel systems such as supercomputers are widely used. In order to increase the utilization of these systems, most schedulers use backfilling policy: Small jobs are moved ahead to fill in holes in the schedule when large jobs do not delay. Since an estimate of the runtime is necessary for backfilling, most parallel systems use user’s estimated runtime. However, it is found to be extremely inaccurate because users overestimate their jobs. Therefore, in this paper, we propose a novel system for the runtime prediction based on workload-aware clustering with the goal of improving prediction performance. The proposed method for runtime prediction of parallel applications consists of three main phases. First, a feature selection based on factor analysis is performed to identify important input features. Then, it performs a clustering analysis of history data based on self-organizing map which is followed by hierarchical clustering for finding the clustering boundaries from the weight vectors. Finally, prediction models are constructed using support vector regression with the clustered workload data. Multiple prediction models for each clustered data pattern can reduce the error rate compared with a single model for the whole data pattern. In the experiments, we use workload logs on parallel systems (i.e., iPSC, LANL-CM5, SDSC-Par95, SDSC-Par96, and CTC-SP2) to evaluate the effectiveness of our approach. Comparing with other techniques, experimental results show that the proposed method improves the accuracy up to 69.08%.

Korean society is aging at a fast rate and the ratio of elderly population is expected to increase by 38.2% in 2050 (Statistics Korea, 2011). The extension of average life expectancy of the elderly generation leads to various problems and the most important issue is the mental health of the elderly. The suicide rate of the elderly is increasing every year and is the highest rate among OECD nations (OECD, 2014). The primary reason for the rapidly increasing suicide rate is psychological hardship caused by personal, social, and environmental factors such as a generation gap from nuclearization, decreased social position, retirement, economic hardship, spousal bereavement, and separation. The importance of education to improve quality of life through the mental stability of the elderly generation is emphasized. Continued education has a positive effect on the physical, social, and psychological health of the elderly generation (Kim, 2011), successful aging (Jee, 2010), and quality of life (Kim &An, 2008). Arts and crafts education can achieve development in visual perception, sense of touch, and continued elderly education (Mo, 2011). Arts and crafts education improves accomplishments and creative thinking ability through analogue behavior of making by hand. This study conducted 12 hours of education for 3 days from 1pm to 5 pm at 1 week intervals on 5 elderly women between 55 and 70 years of age to investigate physical and psychological effects on elderly women through natural wool craft activity. Before the education, the anxiety degree of subjects of the past week was measured with the Beck Anxiety Inventory (BAI) to verify the effect of sensibility education by conducting electroencephalogram(EEG) and PortaLite before after conducting education on subjects. As a result of analyzing the before and after numerical mean value through brainwave test, the increasing phenomenon of an alpha waves appeared and showed that the psychology of subjects is stable and secure. The result of this study showed that wool craft education decreased anxiety, increased alpha waves and improved the psychological stability of elderly women.

Visibility of the flow of goods is an important service element when considering how to improve the quality of a logistics service. Registered mail service of Korea Post, one of logistics service providers, currently supply information on the handling of

A comparison of ozone simulations in the seoul metropolitan region (SMR) using the community multiscale air quality (CMAQ) model with SAPRC99 and CB05 chemical mechanisms (i.e. EXP-SP99 and EXP-CB05) has been conducted during four seasons of 2012. The model results showed that the differences in average ozone concentrations between the EXP-SP99 and EXP-CB05 were found to be large in summer, but very small in the other seasons. This can be attributed that the SAPRC99 tends to produce more ozone than the CB05 in urban area like the SMR with low VOC/NOx ratio under high ozone conditions. Through quantitative comparison between two mechanisms for the summer, it was found that the average ozone concentrations from the EXP-SP99 were about 3 ppb higher than those from the EXP-CB05 and agreed well with the observations. Horizontal differences in ozone concentrations between SAPRC99 and CB05 showed that significant differences were found in southern part of the SMR and over the sea near the coast in summer.

Primary oocytes that are arrested in first meiotic prophase for years enter maturation process to meet a critical precondition for successful fertilization. During maturation, oocyte finishes meiosis I and progresses to the metaphase II stage, achieving meiotic maturity. Although importance of oocyte maturation for oocyte quality has been recognized, it is not fully understood for molecular mechanisms underlying oocyte maturation. Here, we found that dexamethasone-induced Ras-related protein 1 (RASD1), a member of RAS superfamily of small GTPases, was expressed in the mouse ovary. Immunohistochemical analysis revealed that Rasd1 expression was dominant in oocyte cytoplasm. Real-time PCR and RT-PCR analyses showed that Rasd1 mRNA was steadily expressed in germinal vesicle (GV), germinal vesicle break down (GVBD), metaphase I (MI) oocytes, but decreased in metaphase II(MII) oocytes during oocyte maturation. Konckdown of Rasd1 using RNAi system in the GV oocytes suppressed oocyte maturation through disruption of meiotic spindle and formation of misarranged chromosomes. Taken together, Rasd1 is a critical factor for MI-MII transition of oocyte and is involved in the regulation of spindle formation during oocyte maturation. Further study is needed to examine relationship between Rasd1 and spindle formation in MI-MII transition.

The spermatogenesis and oogenesis-specific helix-loop-helix transcription factor 2 (Sohlh2) is exclusively expressed in germ cells of male and female gonad. Sohlh2 acts as a transcriptional factor via its specific DNA binding site, E-box to regulate target genes such as Lhx8, Zp genes, Ngn3. Sohlh2 localize in the female oocyte and in the male spermatogonia. However, the regulatory mechanism of Sohlh2 was poorly understood. In this study, we examine the patterns interacting with Sohlh2. First, we performed immunoprecipitation with the antibody against Sohlh2 protein extracts from the testis. Two-dimensional SDS-gel showed sexual distinguishable protein including Fkbp12, 13, 3, 59. Among them, Fkbp3 is a member of the immunophilin protein family, which play a role in immunoregulation and basic cellular processes involving protein folding and trafficking. Protein is a cis-trans prolyl isomerase that binds the immunosuppressants FK506 and rapamycin. It has a higher affinity for rapamycin than for FK506 and thus may be an important target molecule for immunosuppression by rapamycin. In the expression analysis of Fkbp3 is detected in the multiple tissues; intestine, stomach, kidney, spleen, liver, heart, brain, lung, uterus, ovary, testis. Here, we identified that Fkbp3 mRNA is detected in the ovary and testis, kidney, liver, heart, brain, lung. Immunostaning assay shows that Fkbp3 is localized at the spermatogonia in testis. In further studies, in order to confirm the interaction between Fkbp3 and Sohlh2, we will perform immunoprecipitation.

The spermatogenesis and oogenesis-specific helix-loop-helix transcription factor 2 (Sohlh2) is exclusively expressed in germ cells of male and female gonad. Sohlh2 acts as a transcriptional factor via its specific DNA binding site, E-box to regulate target genes such as Lhx8, Zp genes, Ngn3. Sohlh2 localize in the female oocyte and in the male spermatogonia. In recent studies, Sohlh2 knockout (KO) mice occurs abnormal spermagoenesis resulting in sperm defect. Sohlh2 KO male mice were infertility due to disruption of numerous gene expression. However, the gene profiles of Sohlh2 KO testes were not characterized and the regulatory mechanism of Sohlh2 was poorly understood. In this study, we analyzed the gene profiles and examined the possible mechanism of Sohlh2 in the spermatogenesis. First, we performed histological analysis such as Hematoxylin and eosin stain, Tunel assay, and Immunohistochemistry to show the onset of disruption of Sohlh2 KO testes. These results showed that Sohlh2 KO testes have atrophic seminiferous tubule due to increased apoptosis at 2 weeks old. And then we analyzed the whole gene profiles in the Sohlh2 KO testes at 2 weeks old. We found that 91 genes were regulated at least 5-fold in knockout testes. Among these, several genes are involved in meiotic process. Quantitative-PCR results are shown that several meiotic factors are significantly down-regulated in 2-weeks-old Sohlh2 KO testes compared with that of wild type mice. Through chromosome spreading assay, we observed that the formation of synaptonemal complex of homologous chromosome during the meiosis in Sohlh2 KO testes was not completed. These suggest that Sohlh2 is critical for regulation of numerous factors including meiotic factors either directly or indirectly. Therefore, mis-regulation of meiotic factors at prophase I of meiosis during spermatogenesis leads to disruption of spermatogenesis in Sohlh2 KO testes. Further studies are needed to look at the mechanism of Sohlh2 for regulation of target genes in detail.