Smartphones provide users with environment for communication and sharing information and at the same time play an important role of mobile technology and mobile art development. Smartphone technology-related researches are being accelerated especially with the advent of mobile Augmented Reality(AR) age, but the studies on user participation that is essential for AR content industry were insufficient. In that regard, the assistance from mobile art area that has already developed these characteristics is essential. Thus, this article is to classify mobile art that has not been studied a lot domestically into feature phone usage and smartphone usage and to analyze each example case with the three most used methods. The usage of feature phones which use the sound and images of mobile devices can be divided into three: installation and performing methods, single channel video art method and five senses communication method. On the other hand, the usage of smartphones that use sensors, cameras, GPS and AR can be divided into location-based AR, marker-based AR and markerless AR. Also, as a result of examining mobile AR content utilization technology by industries, combined methods are utilized; tourism and game-related industries use location-based AR, education and medicine-related industries use marker-based AR, and shopping-related industries use markerless AR. The development of AR content industry is expected to be accelerated with mobile art that makes use of combined technology method and constant communication method through active participation of users. The future development direction of mobile AR industry is predicted to have minimized HMD, integration of hologram technology and artificial intelligence and make the most of big data and social network so that we could overcome the technological limitation of AR.
The discourse on the lockdown in Indonesia is getting stronger due to the increasing number of positive cases of the coronavirus and the death rate. As of August 12, 2020, the confirmed number of COVID-19 cases in Indonesia reached 130,718. There were 85,798 victims who have recovered and 5,903 who have died. Data show a significant increase in cases of COVID-19 every day. For this reason, there needs to be an evaluation of the government policy of the Republic of Indonesia in dealing with the COVID-19 pandemic in Indonesia. An evaluation of policies for handling the pandemic must include public opinion to determine any weaknesses of this policy. The development of public opinion about the lockdown policy can be understood through social media. During the COVID-19 pandemic, measuring public opinion through traditional methods (surveys) was difficult. For this reason, we utilized big data on social media as research data. The main purpose of this study is to understand public opinion on the lockdown policy in overcoming the COVID-19 pandemic in Indonesia. The things observed included: volume of Twitter users, top influencers, top tweets, and communication networks between Twitter users. For the methodological development of future public opinion research, the researchers outline the obstacles faced in researching public opinion based on big data from Twitter. The research results show that the lockdown policy is an interesting issue, as evidenced by the number of active users (79,502) forming 133,209 networks. Posts about the lockdown on Twitter continued to increase after the implementation of the lockdown policy on April 10, 2020. The lockdown policy has caused various reactions, seen from the word analysis showing 14.8% positive sentiment, 17.5% negative, and 67.67% non-categorized words. Sources of information who have played the roles of top influencers regarding the lockdown policy include: Jokowi (the president of the Republic of Indonesia), online media, television media, government departments, and governors. Based on the analysis of the network structure, it shows that Jokowi has a central role in controlling the lockdown policy. Several challenges were found in this study: 1) choosing keywords for downloading data, 2) categorizing words containing public opinion sentiment, and 3) determining the sample size.
Objective : The extensive vasa vasorum network functions as a conduit for the entry of inflammatory cells or factors that promote the progression of angiogenesis and plaque formation. Therefore, we investigated the correlation between the carotid vasa vasorum activities and carotid plaque vulnerability using indocyanine green video angiography (ICG-VA) during carotid endarterectomy (CEA). Methods : Sixty-nine patients who underwent CEA were enrolled prospectively from September 2015 to December 2017. During CEA, a bolus of ICG was injected intravenously before and after resecting the atheroma. Additionally, we performed immunohistochemistry using CD68 (a surface marker of macrophages), CD117 (a surface marker of mast cells), and CD4 and CD8 (surface markers of T-cells) antibodies to analyze the resected plaque specimens. Results : The density of active vasa vasorum was observed in all patients using ICG-VA. The vasa vasorum externa (VVE) and interna (VVI) were seen in 11 (16%) and 57 patients (82.6%), respectively. Macroscopically, the VVE-type patterns were strongly associated with preoperative angiographic instability (81.8%, p=0.005) and carotid plaque vulnerability (90.9%, p=0.017). In contrast, the VVI-type patterns were weakly associated with angiographic instability (31.6%) and plaque vulnerability (49.1%). CD68-stained macrophages and CD117-stained mast cells were observed more frequently in unstable plaques than in stable plaques (p<0.0001, p=0.002, respectively). Conclusion : The early appearance of VVE, along with the presence of many microvessel channels that provided nutrients to the developing and expanding atheroma during ICG-VA, was strongly associated with unstable carotid plaques. The degree of infiltration of macrophages and mast cells is possibly related to the formation of unstable plaques.
Many objects existing on wide area environments have the replication characteristics according to how to categorize using their own names or properties. From the clients' requests, the existing naming and trading services have not supported with the binding service for replicated solver object with the same service type. For this reason, we present an integrated model that can support the selection of replicated object and dynamic binding services on wide-area computing environments. This model suggests provides not only location management of replicated objects but also active binding service which enables to select a least-loaded object on the system to keep the balance of load between systems. In this purpose, constructing both the service plan and model for support solver object's binding with replication property on wide area computing environments has been researched. In this paper, we showed the test environment and analyzed the performance evaluation of client/server binding procedures via integrated binding service in federation model and verified our model under the condition to see whether load balance can be applied to our model. For the performance evaluation of suggested wide area integrated binding service federation model, evaluated the integrated binding service of each domain and analyzed the performance evaluation of process for non-replication object's under federation model environment. Also, we analyzed the performance evaluation of the federation model between domains for wide area environment. From the execution results, we showed the federation model provides lowers search-cost on the physical tree structure of network.
Shin, Dong Ha;Han, Seung Ho;Kim, Soo Dong;Her, Jin Sun
KIPS Transactions on Software and Data Engineering
/
v.4
no.4
/
pp.151-160
/
2015
Internet-of-Things(IoT) is the computing environment to provide valuable services by interacting with multiple devices, where diverse devices are connected within the existing Internet infrastructure and acquire context information by sensing. As the concern of IoT has been increased recently, most of the industries develop many IoT devices. And, many people are focused on the IoT application that is utilizing different technologies, which are sensor network, communication technologies, and software engineering. Developing on-ground IoT application is especially even more active in progress depending on increasing of on-ground IoT devices because it is possible for them to access dangerous and inaccessible situation. However, There are a few studies related IoT. Moreover, since on-ground IoT application, which is different from typical software application, has to consider device's characteristics, communication, and surround condition, it reveal challenges, decreasing reliability. Therefore, in this paper, we analyze reliability challenges related to maturity and fault tolerance, one of reliability attributes, occurring in developing on-ground IoT applications and suggest the effective solutions to resolve the challenges. To verify proposed the challenges and solutions, we show result that is applying the solutions to applications. By presenting the case study, we evaluate the effectiveness of applying the solutions to the application.
As an essential means to the exploitation of new demands, the export of agri-food has the price-supporting effect on the domestic agri-food and its expansion can be a good way to increase farms' income. Of course, to enhance farms' income under the liberalization of the market, it is necessary to have countermeasures considering various factors. To this end, the study understood the experiences of farms doing exports and looked into ways to improve them by reviewing their motivations to export, difficulties, requirements, etc. In this context, the study conducted the purposive sampling among tomato export farmhouses in Jeongseon-gun in the export enforcement phase and executed the theme analysis. The research findings and suggestions are as follows. First, in order to enhance the level of commercialization of Jeongseon-gun tomatoes and reinforce the trade bargaining power, it is necessary to form the consensus on policy and make the scaling of the site based on the strong organization power. To this end, it requires the active role of agricultural cooperatives that take a big portion of distribution in the site and distribute its profits directly to farmhouses. Second, it is necessary to set clear target markets for Jeongseon-gun tomato export farms and set sales strategies for each target market. That is, in order to expand the export of Jeongseon-gun tomatoes, after clarifying local sales and export sales, export farmhouses should focus on quality management and secure the quantity for export. Third, to expand the export to Japan which already has the foundation for the export of Korean tomatoes, and to new export countries of China, Russia, etc., it is necessary to set the 'Two-Track Strategies for Export Market (particular item for focus and particular area for focus)' through the building of network of tomato export areas in Gangwon-do. In conclusion, to expand the export of Jeongseon-gun tomatoes, agricultural cooperatives and leaders together should build the strong organizational power with farmhouses and secure the quantities for export. And, according to the 'Two-Track Strategies for Export Market (particular item for focus and particular area for focus)', export infrastructure and export operational system should be built and to do so, the solidarity of tomato export farmhouses in Gangwon area should precede.
Background: Immunoglobulin (Ig) light chain repertoire has been implicated as a critical determinant in regulation of autoreactive B cells and production of pathogenic anti-DNA antibodies in systemic lupus erythematosus (SLE). We analyzed the impact of Ig ${\lambda}$ chain repertoire on development of autoimmunity in patients with SLE. Methods: We obtained genomic DNA from individual peripheral CD19+ B cells of 3 untreated active SLE patients, and amplified $V{\lambda}$ rearrangements from each single cell by polymerase chain reaction. Results: A total number of 208 $V{\lambda}J{\lambda}$ rearrangements were analyzed. Analyzed sequences included 158 productive rearrangements and 50 nonproductive rearrangements. The differences in $V{\lambda}$ gene usage in the productive and nonproductive repertoire of SLE patients were found compared to the non-autoimmune individuals. $V{\lambda}$ gene, 9A was significantly overrepresented in nonproducative repertoire of SLE patients (P=0.016). In the productive repertoire, $V{\lambda}$ genes, 3L and 1E were found more often in the SLE patients (P=0.001, P=0.043). When the productive and the nonproductive repertoires were compared, 9A was found significantly less in the productive repertoire in the SLE patients (P=0.000). There were no significant differences in the $J{\lambda}$ gene usage between SLE patients and non-autoimmune individuals, but $J{\lambda}2/3$ gene was the most frequently used in SLE, whereas $J{\lambda}7$ gene was the most frequently used in the normal subjects. In the productive SLE $V{\lambda}$ repertoire, 9.4% of the total sequences employed identical CDR3. It was particularly striking to find 7 identical versions of the 1G-$J{\lambda}2/3$$V{\lambda}J{\lambda}$ rearrangements from one patient and 3 of the same sequence from another patient. Notably, identical $V{\lambda}$ junctions in the SLE patients utilized significantly more homologous joining compared to $V{\lambda}$ junctions of the normal adults (P=0.044). Conclusion: These data demonstrate regulation of ${\lambda}$ light chain expression in the SLE patients by selection of unique $V{\lambda}$ genes. Also, biased selection and clonal expansion of particular $V{\lambda}$ rearrangements are apparent in the SLE ${\lambda}$ repertoire.
This study seeks to find out the determinants of subsidiary performance. In addition, moderating effect of autonomy on the relationship between subsidiary competence, subsidiary relationship and subsidiary configurational focus, and subsidiary performance. In studying the moderating effect of autonomy on subsidiary performance, the results will give invaluable insights to foreign subsidiaries in Korea to better compete in competitive Korean market. The results of empirical study showed that subsidiary with higher level of interaction with its intra-MNC network has higher level of performance. Thus, active interaction with headquarter and its affiliates will lead to better performance. Subsidiary with higher level of competence has higher level of performance. Thus, subsidiary should attain higher level of competence to better compete in Korea. Subsidiary autonomy has moderating effect on the relationship between configurational focus and performance. Thus, optimal MNC subsidiary configuration and attainment of subsidiary autonomy is needed to secure competitiveness in Korean market.
With globalization and the development of information and communication technology, the supply chain is becoming more widespread and complex, which increases the occurrence and damage caused by supply chain risks. Supply chain risk management has a great impact on corporate performance through the analysis of risk factors and proactive and strategic approaches. This study aims to analyze the effects of supply chain risk factors on risk management strategies and corporate performance empirically. In the research model for empirical analysis, supply chain risk factors were classified into supply, demand, operation, network, and external environment, while the risk management strategies were divided into active and passive strategies, as well as financial and operational performance for corporate performance. The data obtained via the questionnaire were analyzed for the path of the structural equation model. As a result of the analysis, companies are actively pursuing risk management for internal risk factors, rather than external factors, in terms of internal and external risk factors, and it was found that these strategies have a significant effect on corporate performance. Therefore, in the future, companies should conduct risk management strategies more proactively and preemptively through a thorough analysis of various risk factors affecting business operations.
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