• Journal of Internet Computing and Services
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• v.13 no.4
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• pp.73-82
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• 2012

The worldwide increase of cognitive surplus leads to successful social authoring projects. In this research, social authoring mechanisms used in Linux and Wikipedia projects were analyzed to identify the key success factors. In addition, tools used in the recent successful social media such as Facebook and Ushahidi were evaluated to extract components which may be applied in social authoring systems. Based on these analyses, the improvement factors in the design of social authoring projects were suggested. The social authoring projects are expected to be more successfully achieved by providing the core components proposed in this article.

• Journal of the Korean Society of Propulsion Engineers
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• v.20 no.4
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• pp.104-111
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• 2016

The flame stabilization is one of the topics which have to be solved for the airbreathing propulsion systems, using the entering air which is supersonic velocity as an oxygen sources. Making a recirculation zone with an eddy flow, installed the reducing velocity devices such as the bluff body, is the typical method of the flame stabilization. Recently using a cavity flame stabilization at the wall is an emerging technique as an effective method which extends the stabilization zone, and the related research papers have been published on the flow separation and reattachment, pressures and oscillations including length/depth ratios in the cavities. Even though, still there are lots of topics to study more in the cavity flame stabilization field as the preceding techniques, as well as the research and the development of the airbreathing propulsion system itself.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.10
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• pp.65-76
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• 2021

This study aims at investigating the effect of product innovation accounting on the market success of instant food and convenience food businesses in Thailand with customer response capability as the mediator. In addition, it examines the effects of management accounting systems, marketing intelligence, and technology orientation on product innovation accounting. The sample for this study is 258 instant food and convenience food businesses in Thailand. To test the research relationships, a structural equation model is used. The results of this study show that product innovation accounting has a significant effect on both customer response capability and market success. Similarly, customer response capability significantly leads to market success while it mediates the product innovation accounting-market success relationship. Testing the antecedents of the research relationships, management accounting system, marketing intelligence, and technology orientation potentially affect product innovation accounting. Accordingly, product innovation accounting is a key source of competitive advantage. Product innovation accounting must be recognized by company management as a strategic tool for competing in markets and environments. They must invest their resources and capabilities to create and develop product innovation accounting principles, as well as encouraging their staff to implement and use these principles in the workplace.

• Korean Journal of Breeding Science
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• v.42 no.4
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• pp.329-338
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• 2010

Drought, salinity and flooding are three important abiotic factors limiting soybean production worldwide. Irrigation, soil reclamation, and drainage systems are not generally available or economically feasible for soybean production. Therefore, productive soybean varieties with tolerance are a cost effective means for reducing yield losses due to these factors. Genetic variability for higher tolerance to drought, salt and flooding is important. However, only a small portion of nearly 200,000 world soybean accessions have been screened to find genotypes with tolerance for use in breeding programs. Evaluation for tolerance to drought, salinity and flooding is difficult due to lack of faster, cost effective, repeatable screening methods. Soybean strains with higher tolerance to the above stresses have been identified. Crosses with lines with drought, salt and flooding tolerance through conventional breeding has made a significant contribution to improving tolerance to abiotic stress in soybean. Molecular markers associated with tolerance to drought, salt and flooding will allow faster, reliable screening for these traits. Germplasm resources, genome sequence information and various genomic tools are available for soybean. Integration of genomic tools coupled with well-designed breeding strategies and effective uses of these resources will help to develop soybean varieties with higher tolerance to drought, salt and flooding.

• International journal of advanced smart convergence
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• v.8 no.2
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• pp.132-139
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• 2019

We address the problem about forecasting the direction of stock price movement in the Korea market. Recently, the deep neural network is popularly applied in this area of research. In deep neural network systems, proper parameter initialization reduces training time and improves the performance of the model. Therefore, in our study, we propose a novel parameter initialization technique and apply this technique for the stock price movement prediction model. Specifically, we design a framework which consists of two models: a base model and a main prediction model. The base model constructed with LSTM is trained by using the large data which is generated by a large amount of the stock data to achieve optimal parameters. The main prediction model with the same architecture as the base model uses the optimal parameter initialization. Thus, the main prediction model is trained by only using the data of the given stock. Moreover, the stock price movements can be affected by other related information in the stock market. For this reason, we conducted our research with two types of inputs. The first type is the stock features, and the second type is a combination of the stock features and the Korea Composite Stock Price Index (KOSPI) features. Empirical results conducted on the top five stocks in the KOSPI list in terms of market capitalization indicate that our approaches achieve better predictive accuracy and F1-score comparing to other baseline models.

• Journal of Korean Medicine for Obesity Research
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• v.19 no.1
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• pp.56-67
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• 2019

Objectives: The purpose of this study is to review clinical studies of herb medicine and acupuncture treatment on obesity in menopausal women. Methods: Key words "Obesity", "Menopause", "Herb medicine", "Acupuncture", "Moxibustion", "Catgut embedding" were searched on 9 database systems (PubMed Central, Cochrane Controlled Register of Trials, Embase, China Academic Journals, Korean Traditional Knowledge Portal, Oriental Medicine Advanced Searching Integrated System, Korean Studies Information Service System, National Digital Science Library, DBpia) on April 30th 2019. Results: 1 case report and 17 clinical trials were collected in accordance with the selection and exclusion criteria. Among the 17 trials, 6 were randomized controlled trials, 1 was controlled clinical trial, and 10 were single-arm trials. The types of intervention were herb medicine, electroacupuncture, acupuncture, auricular acupuncture, warm needle acupuncture, moxibustion, laser acupuncture, and catgut embedding. The study design, study results and method of intervention were analyzed. Conclusions: 1 case report described the effectiveness of pharmacopuncture, 4 trials described the effectiveness of herbal medicine, 2 of electroacupuncture, 1 of laser acupuncture, and 2 of catgut embedding. Among the 17 trials, 2 studies showed that herbal medicine treatment was more effective than no treatment or selective serotonin reuptake inhibitors, and 1 study showed that electroacupuncture was more effective than hormone therapy. All of 18 selected studies reported the effectiveness of weight reduction and abdominal obesity reduction after the traditional Korean medicine treatment for obesity in menopausal women.

• Journal of the Korea Institute of Military Science and Technology
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• v.22 no.1
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• pp.1-10
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• 2019

In this paper, we propose the track initiation algorithm based on the weighted score for TWS radar tracking. This algorithm utilizes radar velocity information to calculate the probabilistic track score and applies the Non-Maximum-Suppression(NMS) to confirm the targets to track. This approach is understood as a modification of a conventional track initiation algorithm in a probabilistic manner. Also, we additionally apply the weighted Hough transform to compensate a measurement error, and it helps to improve the track detection probability. We designed the simulator in order to demonstrate the performance of the proposed track initiation algorithm. The simulation result show that the proposed algorithm, which reduces about 40 % of a false track probability, is better than the conventional algorithm.

• The Plant Pathology Journal
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• v.34 no.6
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• pp.459-469
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• 2018

Plants and microorganisms (microbes) use information from chemicals such as volatile compounds to understand their environments. Proficiency in sensing and responding to these infochemicals increases an organism's ecological competence and ability to survive in competitive environments, particularly with regard to plant-pathogen interactions. Plants and microbes acquired the ability to sense and respond to biogenic volatiles during their evolutionary history. However, these signals can only be interpreted by humans through the use of state-of the-art technologies. Newly-developed tools allow microbe-induced plant volatiles to be detected in a rapid, precise, and non-invasive manner to diagnose plant diseases. Beside disease diagnosis, volatile compounds may also be valuable in improving crop productivity in sustainable agriculture. Bacterial volatile compounds (BVCs) have potential for use as a novel plant growth stimulant or as improver of fertilizer efficiency. BVCs can also elicit plant innate immunity against insect pests and microbial pathogens. Research is needed to expand our knowledge of BVCs and to produce BVC-based formulations that can be used practically in the field. Formulation possibilities include encapsulation and sol-gel matrices, which can be used in attract and kill formulations, chemigation, and seed priming. Exploitation of biogenic volatiles will facilitate the development of smart integrated plant management systems for disease control and productivity improvement.

• Steel and Composite Structures
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• v.31 no.4
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• pp.341-359
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• 2019

Non-monolithic concrete structural connections are commonly used both in new constructions and retrofitted structures where anchors are used for connections. Often, flaws are present in anchor system due to poor workmanship and deterioration; and methods available to check the quality of the composite system afterward are very limited. In case of presence of flaw, load transfer mechanism inside the anchor system is severely disturbed, and the load carrying capacity drops drastically. This raises the question of safety of the entire structural system. The present study proposes a wave propagation technique to assess the integrity of the anchor system. A chemical anchor (embedded in concrete) composite system comprising of three materials viz., steel (anchor), polymer (adhesive) and concrete (base) is considered for carrying out the wave propagation studies. Piezoelectric transducers (PZTs) affixed to the anchor head is used for actuation and the PZTs affixed to the surrounding concrete surface of the concrete-anchor system are used for sensing the propagated wave through the anchor interface to concrete. Experimentally validated finite element model is used to investigate three types of composite chemical anchor systems. Studies on the influence of geometry, material properties of the medium and their distribution, and the flaw types on the wave signals are carried out. Temporal energy of through time domain differentiation is found as a promising technique for identifying the flaws in the multi-layered composite system. The present study shows a unique procedure for monitoring of inaccessible but crucial locations of structures by using wave signals without baseline information.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.5
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• pp.1079-1089
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• 2021

The current study aims to examine the effect of Hofstede's dimensions of culture on the intention of sharing knowledge in higher education institutions (HEIs) in Jordan. In the literature, researchers have given limited attention to such an effect. Therefore, by adopting Hofstede's framework, the current study attempts to investigate how Jordan's cultural context impacts on the intentions to share knowledge in HEIs. This study applied quantitative research methods to investigate the effect of Hofstede's cultural dimensions on knowledge-sharing intentions. In total, 307 questionnaires were collected from employees in Jordanian universities and, then, tested using descriptive and regression analytical methods. The study results show that culture dimensions influence knowledge-sharing intention and that each dimension plays a different role in enhancing this knowledge-sharing intention. More specifically, it was found that long-term orientation, collectivism and high uncertainty avoidance had a positive effect on knowledge-sharing intention, while cultural masculinity and power distance had no negative effect. Based on these results, the study makes several recommendations, the most important of which is the promotion of cultural values that encourage intention to share knowledge. Also, more qualitative research is needed to explore in depth the effective means that encourage intentions to share different types of knowledge.