• Korean Journal of Fisheries and Aquatic Sciences
• /
• v.12 no.1
• /
• pp.71-77
• /
• 1979

An ecological survey on the crawling activity of the Periophthalmus cantonensis in the Gum River was carried out during the period from July to October 1978. The results obtained are as follows. Distribution : From Chilsanri to Osikdo $$Density\;of\;population\;(Number/m^2):\;1.5/m^2$$ $$High\;ebb\;zone:\;2.6/m^2=56\%$$ $$Mid\;ebb\;zone:\;1.5/m^2=32\%$$ $$Low\;ebb\;gone:\;0.5/m^2=12\%$$ The percentage of the fish having established territory, then Mean body length of the fish having established territory: $86\%$ Mean body length of the transfering population : 2.16mm/sec Activity area: 10m As the fish grow there is a tendency that the individual occupy a certain area, the territory, then gradually increasing the area. When they re-aggregate, especially in high ebb zone, size difference between individuals in a group is not observed.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.21 no.5
• /
• pp.543-550
• /
• 2020

Interest in food recipe retrieval systems has been increasing recently. Most computer-based recipe retrieval systems are searched by cooking name or ingredient name. Since each recipe provides information in different weighing units, recalculations to the desired amount are necessary and inconvenient. This paper introduces a computer system that addresses these inconveniences. The system is a chatbot system, based on web-based recipe recommendations, for users familiar with the use of messenger conversation systems. After selecting the most popular recipes by their names, and pre-processing to extract only information required for the recipes, the system recommends recipes based on the 100,000 data. Recipes are then searched by the names of food ingredients (included and excluded). Recalculations are performed based on the number of servings entered by the user. A satisfaction rate for the systems' recommendations was 90.5%.

• Ocean and Polar Research
• /
• v.36 no.4
• /
• pp.495-503
• /
• 2014

This paper focuses on the dynamic responses of a tracked vehicle crawling on extremely cohesive soft soil, each side of which is composed of two parallel tracks. The tracked vehicle consisted of 2 bodies. One body is the tracked vehicle body, which is assumed to be a rigid body with 6 DOFs. The other body is the buoy body. The two bodies are connected by a revolute joint. In order to evaluate the travelling performance of a 7 DOFs vehicle, a dynamic analysis program for the tracked vehicle was developed using Newmark's method and the incremental-iterative method. The effects of road wheels on the track and soil are not taken into account. A terra-mechanics model of extremely cohesive soft soil is implemented in form of relationships: normal pressure to sinkage, shear resistance to shear displacement, and dynamic sinkage to shear displacement. Pressure-sinkage relationship and shear displacement-stress relationship should represent the non-linear characteristics of extremely soft soil. Especially, since the shear resistance of soft soil is very sensitive to shear displacement, spatial distribution of shear displacement occurring at the contact area of the tracks should be calculated precisely. The proposed program is developed in FORTRAN.

• The KIPS Transactions:PartD
• /
• v.14D no.3 s.113
• /
• pp.293-302
• /
• 2007

The study of the web graph yields valuable insight into web algorithms for crawling, searching and community discovery, and the sociological phenomena which characterize its evolution, also it is useful for understanding the evolution process of web graph and predicting the scale of the Web. In this paper, we report experimental results on properties of the Korea web graph with over 116 million pages and 2.7 billion links. We indicate to study the Korea web properties such as the power law phenomenon and then to analyze the similarity and difference between the global and Korea web graph. Our analysis reveals the Korea web graph have different properties compared with the global web graph from the structure to the evolution of the Web. Finally, a number of measurements of the evolution of the Korea web graph ill be represented.

• Journal of Fisheries and Marine Sciences Education
• /
• v.21 no.2
• /
• pp.213-229
• /
• 2009

The purpose of this study is not only to provide students in the fishery high schools with source materials and opportunity, but also to contribute to a comprehensive development in educational program of the fishery high schools. It investigated various factors of aquarium related 6 new occupations : job contents, educational-level for job performance, training period, worker's capacity, the degree of physical activity, working place, and working environment. First, the work intensity is a normal work. The physical activities such as crawling, bending, accurately seeing a nearby thing and using hands are frequently used. The work is mainly conducted inside a room. The condition for a work environment is very moist and humid. Second, the work intensity is a light work. The physical activities such as using hands, speaking and accurately seeing a nearby thing are frequently used. The work is mainly conducted inside and outside a room. The work environment factor did not have any effect on the work. Third, the work is mainly conducted inside and outside a room. The risk in the condition for a work environment is found out as miscellaneous. Fourth, the physical activities such as bending, touching, and accurately seeing a nearby thing are frequently used. The work is mainly conducted inside a room. The work environment factor did not have any effect on the work. Fifth, the work is mainly conducted inside a room. The condition for a work environment is very moist and humid. Sixth, the work is mainly conducted inside a room. The work environment factor did not have any effect on the work.

• The Journal of Information Systems
• /
• v.26 no.2
• /
• pp.1-23
• /
• 2017

Purpose Facebook is a social network service that has the highest number of Monthly Active Users around the world. Hence, marketers have selected Facebook as the most important platform to get customer engagement. With respect to the customer engagement enhancement, the most popular and engaging post type in the Facebook brand fan pages related to what was usually classified as 'sweepstakes'. Sweepstakes refer to a form of gambling where the entire prize may be awarded to the winner. Which makes customers more engaged with the brand. This study aims to explore sweepstakes-oriented social media marketing approaches based on the application of big data analytics. Design/methodology/approach we collect sweepstakes data from each company based on the data crawling from the Facebook brand fan pages. The output of this study explains how companies in each category of FCB grid can design and apply sweepstakes for their social media marketing. Findings The results show that they have one thing in common across the four quadrants of FCB grid. Regardless of the quadrants, most frequently observed type is 'Simple/Quiz or Comments/Quatrains [event type of sweepstakes] + Gifticon [type of reward prize] + Image [type of message display] + No URL [Link toother website] +Single-Gift-Offer [type of reward prize payment]'. So, if the position of the brand is hard to be defined by the FCB grid model, then this general rule can be applied to all types of brands. Also some differences between the quadrants of the FCB grid were observed. This study offers several research implications by analyzing Sweepstakes-oriented social media marketing approaches in Facebook brand fan pages. By using the FCB grid model, this study provides guidance on how companies can design their sweepstakes-oriented social media marketing approaches in the context of Facebook brand fan pages by considering their context.

• The Journal of Information Systems
• /
• v.29 no.3
• /
• pp.237-251
• /
• 2020

Purpose The research was studied the hierarchical Hangul emotion index by organizing all the emotions which SNS users are thinking. As a preliminary study by the researcher, the English-based Plutchick (1980)'s emotional standard was reinterpreted in Korean, and a hashtag with implicit meaning on SNS was studied. To build a multidimensional emotion dictionary and classify three-dimensional emotions, an emotion seed was selected for the composition of seven emotion sets, and an emotion word dictionary was constructed by collecting SNS hashtags derived from each emotion seed. We also want to explore the priority of each Hangul emotion index. Design/methodology/approach In the process of transforming the matrix through the vector process of words constituting the sentence, weights were extracted using TF-IDF (Term Frequency Inverse Document Frequency), and the dimension reduction technique of the matrix in the emotion set was NMF (Nonnegative Matrix Factorization) algorithm. The emotional dimension was solved by using the characteristic value of the emotional word. The cosine distance algorithm was used to measure the distance between vectors by measuring the similarity of emotion words in the emotion set. Findings Customer needs analysis is a force to read changes in emotions, and Korean emotion word research is the customer's needs. In addition, the ranking of the emotion words within the emotion set will be a special criterion for reading the depth of the emotion. The sentiment index study of this research believes that by providing companies with effective information for emotional marketing, new business opportunities will be expanded and valued. In addition, if the emotion dictionary is eventually connected to the emotional DNA of the product, it will be possible to define the "emotional DNA", which is a set of emotions that the product should have.

• The Journal of Information Systems
• /
• v.26 no.4
• /
• pp.419-442
• /
• 2017

Purpose The purpose of this study is to explore the pattern of user response and it's duration time through social media content response analysis. We also analyze the characteristics of content quality factors which are associate with the user response pattern. The analysis results will provide some implications to develop strategies and schematic plans for the operator of regional marketing on the SNS. Design/methodology/approach This study used mixed methods to verify the effects and responses of social media contents on the users who have concerns about regional events such as local festival, cultural events, and city tours etc. Big data analysis was conducted with the quantitative data from regional government SNSs. The data was collected through web crawling in order to analyze the social media contents. We especially analyzed the contents duration time and peak level time. This study also analyzed the characteristics of contents quality factors using expert evaluation data on the social media contents. Finally, we verify the relationship between the contents quality factors and user response types by cross correlation analysis. Findings According to the big data analysis, we could find some content life cycle which can be explained through empirical distribution with peak time pattern and left skewed long tail. The user response patterns are dependent on time and contents quality. In addition, this study confirms that the level of quality of social media content is closely relate to user interaction and response pattern. As a result of the contents response pattern analysis, it is necessary to develop high quality contents design strategy and content posting and propagation tactics. The SNS operators need to develop high quality contents using rich-media technology and active response contents that induce opinion leader on the SNS.

• Journal of Korean Society of Forest Science
• /
• v.109 no.1
• /
• pp.23-30
• /
• 2020

The use of increased computing power, machine learning, and deep learning techniques have dramatically increased in various sectors. In particular, image detection algorithms are broadly used in forestry and remote sensing areas to identify forest types and tree species. However, in South Korea, machine learning has rarely, if ever, been applied in forestry image detection, especially to classify tree species. This study integrates the application of machine learning and forest image detection; specifically, we compared the ability of two machine learning data collection methods, namely image data captured by forest experts (D1) and web-crawling (D2), to automate the classification of five trees species. In addition, two methods of characterization to train/test the system were investigated. The results indicated a significant difference in classification accuracy between D1 and D2: the classification accuracy of D1 was higher than that of D2. In order to increase the classification accuracy of D2, additional data filtering techniques were required to reduce the noise of uncensored image data.

• Journal of The Korean Society of Integrative Medicine
• /
• v.4 no.3
• /
• pp.109-119
• /
• 2016

Purpose : The purpose of this research is to find clinical effects of functional resistance training using weighted vest on gross motor and balance abilities of children with dyskinetic cerebral palsy. Methods : This study selects 3 subjects for 8~12 years old who were diagnosed with children with dyskinetic cerebral palsy. The Design is ABA design of single-subject research design. Baseline(A) and TypeII Baseline(A : 12weeks) phases were received with NDT treatment, Intervention(B : 12weeks) phase provided with 40 minute functional resistance training using weighted vest in a session twice a week. In order to analyze the measure results of gross motor function and performance, balance abilities in children dyskinetic cerebral palsy during baseline, intervention and typeII baseline phase. Result : A statistically significant differences in the total GMFM including walking/running/jumping during baseline, intervention, typeII baseline, but no significant differences in the lying/rolling, sitting, crawling/kneeling and standing. A statistically significant differences in the total GMPM including dissociated movement, coordination, weight shift, stability during baseline, intervention, typeII baseline, but no significant differences in the body alignment domains. A statistically significant differences in the length and surface area ellipse of center of pressure during baseline, intervention, typeII baseline. Conclusion : The intervention method to facilitate multi-joint and closed kinematic chain movement equipped weighted vest applied functional resistance training on children with dyskinetic cerebral palsy effectively improve on gross motor function and performance, balance abilities.