• Journal of Advanced Information Technology and Convergence
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• v.8 no.2
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• pp.129-137
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• 2018

Smart machines are one of the topics of our society recently. A smart machine should have a wiser or smarter function than the past. In the modern society, the environment of each family is being improved toward the direction of smart home. In this environment, smart speakers are now increasingly serving as interfaces for controlling various devices in the home, from devices that listen to conventional music. In this paper, we review the technology development trends of domestic and foreign smart speaker market, and describe the core technologies required. In Korea, while SKT and KT are dominant in the speaker market, major IT companies such as Amazon, Google and Apple are focusing on launching related products and technology development.

• Journal of radiological science and technology
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• v.41 no.6
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• pp.643-649
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• 2018

Recently, together with advancement of domestic aviation industry, overseas tourists using planes have been soared. This study aimed to investigate the risk of diseases for the passengers and flight attendants from the exposed cosmic radiation during the flight by domestic and international literature reviews, as follows. Airliners should develop the program to measure the actual radiation dose and prepare the portable devices for radiation measurement in flight to lower the accumulated dose of cosmic radiation by the attendants. Regulation should be prepared to check the exposed dose during the flight for the passengers by announcement of individual exposed radiation dose which has been provided only to the flight attendants. Passengers and flight attendants should recognize they are exposed to excessive cosmic radiation during the flight and civilians should be protected by the cosmic radiation when they use the flights, which should be prepared by the regulations.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.6
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• pp.3219-3237
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• 2019

The Cloud Computing is growing rapidly in the current IT industry. Cloud computing has become a buzzword in relation to Grid & Utility computing. It provides on demand services to customers and customers will pay for what they get. Various "Cloud Service Provider" such as Microsoft Azure, Google Web Services etc. enables the users to access the cloud in cost effective manner. However, security, privacy and integrity of data is a major concern. In this paper various security challenges have been identified and the survey briefs the comprehensive overview of various security issues in cloud computing. The classification of security issues in cloud computing have been studied. In this paper we have discussed security challenges in cloud computing and also list recommended methods available for addressing them in the literature.

• Annals of Clinical Neurophysiology
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• v.21 no.2
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• pp.71-78
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• 2019

Transcranial Doppler (TCD) was introduced in 1982 to assess intracranial arteries noninvasively, since when it has been widely used to assess and monitor cerebrovascular hemodynamics. The clinical applications of TCD are broadening to include other fields that require monitoring of the cerebral blood flow. TCD has fewer temporal and spatial restrictions than other methods, can be performed on less-compliant patients, and causes no harm to the body. However, its reliance on high levels of examiner skill and experience, as well as a lack of standardized scanning protocols are obstacles that still need to be overcome. In this report we review TCD examination techniques and interpret their findings for several conditions.

• Journal of Information Processing Systems
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• v.15 no.5
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• pp.1192-1200
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• 2019

Recently, artificial intelligence techniques have been widely used in the computer science field, such as the Internet of Things, big data, cloud computing, and mobile computing. In particular, resource management is of utmost importance for maintaining the quality of services, service-level agreements, and the availability of the system. In this paper, we review and analyze various ways to meet the requirements of cloud resource management based on artificial intelligence. We divide cloud resource management techniques based on artificial intelligence into three categories: fog computing systems, edge-cloud systems, and intelligent cloud computing systems. The aim of the paper is to propose an intelligent resource management scheme that manages mobile resources by monitoring devices' statuses and predicting their future stability based on one of the artificial intelligence techniques. We explore how our proposed resource management scheme can be extended to various cloud-based systems.

• The Journal of Pediatrics of Korean Medicine
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• v.33 no.3
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• pp.42-55
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• 2019

Objectives The purpose of this study is to figure out the tendency of the commonly-used-pattern-identification and treatment for Hyperhidrosis by reviewing Korean clinical studies. Methods 18 articles which were published from August, 2004 to December, 2018. were obtained from the National discovery for science leader (NDSL), Research information sharing service (RISS), and Oriental medicine advanced searching integrated system (OASIS) by using keyword 'hyperhidrosis'. Results The most commonly-used-pattern-identification were the patterns with 'Heart' and 'Spleen-stomach'. Hyungbangsabaek-san and Taeeumjowi-tang were the most frequently used herbal medicine. The most common acupoints was LI4. The most common method of assessment was VAS. Conclusions This study identifies the most common pattern identification and treatment for hyperhidrosis. Developing systematic standards of pattern identification and treatment can be possible with further studies.

• Computers and Concrete
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• v.23 no.2
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• pp.107-119
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• 2019

In-service reinforced concrete structures are simultaneously subjected to a combination of multi-deterioration environmental actions and mechanical loads. The combination of two or more deteriorative actions in environments can potentially accelerate the degradation and aging of concrete materials and structures. This paper reviews the coupling and synergistic mechanisms among various deteriorative driving forces (e.g. chloride salts- and carbonation-induced reinforcement corrosion, cyclic freeze-thaw action, alkali-silica reaction, and sulfate attack). In addition, the effects of mechanical loads on detrimental environmental factors are discussed, focusing on the transport properties and damage evolution in concrete. Recommendations for advancing current testing methods and predictive modeling on assessing the long-term durability of concrete with consideration of the coupling effects are provided.

• East Asian Economic Review
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• v.23 no.2
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• pp.111-147
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• 2019

Singapore's inward and outward investments with industrialized countries in both manufacturing and service sectors were skill seeking while outward investments to developing countries were labor seeking. Applying the Knowledge-Capital model, it was found that services Foreign Direct Investment is sensitive to skill differences. A ten-percent decline in skill differences with industrialized countries resulted in a 4.25 percent rise in inbound manufacturing and 1.48 percent rise in inbound services investments. Meanwhile, a ten-percent increase in skill differences with developing countries resulted in a 30 percent rise in outbound manufacturing and 0.38 percent rise in services investments. Furthermore, when services are distinguished by skill-intensity, the impact of relative skill endowments on inbound Foreign Direct Investment in skill-intensive services is significantly different from the impact on other services. However, when services are disaggregated by "proximity" needs, we do not find any significant difference in the impact of relative skill endowments on Foreign Direct Investment.

• Journal of Integrative Natural Science
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• v.14 no.2
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• pp.35-40
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• 2021

In this paper, we proposed a multi-subject-level sentiment analysis model for user reviews using the Latent Dirichlet Allocation (LDA) method targeting user-generated content (UGC). Data were collected from users' online reviews of hotels in major tourist cities in the world, and 30 hotel-related topics were extracted using the entire user reviews through the LDA technique. Six major hotel-related themes (Cleanliness, Location, Rooms, Service, Sleep Quality, and Value) were selected from the extracted themes, and emotions were evaluated for sentences corresponding to six themes in each user review in the proposed sentiment analysis model. Sentiment was analyzed using a dictionary. In addition, the performance of the proposed sentiment analysis model was evaluated by comparing the emotional values for each subject in the user reviews and the detailed scores evaluated by the user directly for each hotel attribute. As a result of analyzing the values of accuracy and recall of the proposed sentiment analysis model, it was analyzed that the efficiency was high.

• International Journal of Internet, Broadcasting and Communication
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• v.13 no.4
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• pp.1-10
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• 2021

The purpose of the study is to contribute to the positive development of blockchain technology by providing data to examine security vulnerabilities and threats to blockchain-based services and review countermeasures. The findings of this study are as follows. Threats to the security of blockchain-based services can be classified into application security threats, smart contract security threats, and network (P2P) security threats. First, application security threats include wallet theft (e-wallet stealing), double spending (double payment attack), and cryptojacking (mining malware infection). Second, smart contract security threats are divided into reentrancy attacks, replay attacks, and balance increasing attacks. Third, network (P2P) security threats are divided into the 51% control attack, Sybil attack, balance attack, eclipse attack (spread false information attack), selfish mining (selfish mining monopoly), block withholding attack, DDoS attack (distributed service denial attack) and DNS/BGP hijacks. Through this study, it is possible to discuss the future plans of the blockchain technology-based ecosystem through understanding the functional characteristics of transparency or some privacy that can be obtained within the blockchain. It also supports effective coping with various security threats.