• Journal of Advanced Marine Engineering and Technology
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• v.34 no.1
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• pp.84-91
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• 2010

The centrifugal oil purifier is used in ships for purifying the engine lubrication oil. The momentum needed for the rotation of the cylindrical chamber is obtained by jet injections. The dust particles in the oil are separated by the centrifugal forces moving to the inner wall of the rotating cylindrical chamber body. The dust particles are eliminated when the particles are adsorbed onto the surface of the inner wall of the chamber body. The flow characteristics and the physical behaviours of particles in this centrifugal oil purifier have been investigated numerically and the filtration efficiencies have been evaluated. For the calculations, a commercial code has been used and the SST k-${\omega}$ turbulence model has been adopted. The MRF (Multiple Reference Frame) method has been introduced to consider the rotating effect of the flows. Under various variables, such as particle size, particle density and rotating speed, the filtration efficiencies have been evaluated. It has been verified that the filtration efficiency is increased with the increments of the particle size, the particle density and the rotating speed of the cylindrical chamber.

• Journal of Satellite, Information and Communications
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• v.11 no.1
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• pp.55-57
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• 2016

In this paper, we present an algorithm to determine the abnormal behavior through a CCTV-based behavioral recognition and a pattern of hand using ConvexHull. In the existing way that using CCTV for crime prevention, facial recognition is mainly used. Facial recognition is the way that compares the faces that are seen on the screen and faces of criminals for determining how dangerous targets are, however, this way is hard to predict future criminal behavior. Therefore, to predict more various situations, abnormal behaviours are determined with targets' incline of arms, legs and bodys and patterns of hand movements. it can forecast crimes when an acting has been getting within common normality out, comparing whose acting patterns with the crime patterns.

• Journal of the Korean Academy of Child and Adolescent Psychiatry
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• v.32 no.1
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• pp.3-9
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• 2021

Objectives: It is hard to accumulate research data on adolescents' suicide, because friends and family of the suicide completers might be reluctant to share the experience. To overcome the lack of information on adolescent suicide victims, the authors examined the risk and protective factors for adolescents' suicide from a character in a novel. Methods: Krystal, an adolescent female in the novel The Casual Vacancy by Joanne Rowling, failed to overcome her unfortunate circumstances and committed suicide. The authors analysed Krystal's case based on the guideline for patients with suicidal behaviours to address the complicated situation of her death. Results: Krystal grew up in a poor and dangerous environment. Despite the environmental hardships, she developed ego maturation with affectionate help from Mr Fairbrother, an assistant coach of the Girls' Rowing Team and a parish councillor. The sudden passing away of Mr Fairbrother brought on a crisis of identity for Krystal. In addition, a villainous character raped her and her brother drowned to death, which brought her great sorrow. She felt helpless and committed suicide. Conclusion: In spite of many risk factors for suicide, Krystal was able to keep her life with a few protective factors, a younger brother in the home, and a sense of responsibility for the family. After the loss of her brother, however, she collapsed in a moment. Krystal's suicide might not only be a personal choice but a breakdown of the social protection system for the youth.

• International Journal of Computer Science & Network Security
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• v.21 no.2
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• pp.110-119
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• 2021

The Coronavirus or COVID-19 is contagiousness virus that infected almost every single part of the world. This pandemic forced a major country did lockdown and stay at a home policy to reduce virus spread and the number of victims. Interactions between humans and robots form a popular subject of research worldwide. In medical robotics, the primary challenge is to implement natural interactions between robots and human users. Human communication consists of dynamic processes that involve joint attention and attracting each other. Coordinated care involves sharing among agents of behaviours, events, interests, and contexts in the world from time to time. The robotics arm is an expensive and complicated system because robot simulators are widely used instead of for rehabilitation purposes in medicine. Interaction in natural ways is necessary for disabled persons to work with the robot simulator. This article proposes a low-cost rehabilitation system by building an arm gesture tracking system based on a depth camera that can capture and interpret human gestures and use them as interactive commands for a robot simulator to perform specific tasks on the 3D block. The results show that the proposed system can help patients control the rotation and movement of the 3D arm using their hands. The pilot testing with healthy subjects yielded encouraging results. They could synchronize their actions with a 3D robotic arm to perform several repetitive tasks and exerting 19920 J of energy (kg.m².S^-2). The average of consumed energy mentioned before is in medium scale. Therefore, we relate this energy with rehabilitation performance as an initial stage and can be improved further with extra repetitive exercise to speed up the recovery process.

• Journal of the Korean Society for Library and Information Science
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• v.30 no.2
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• pp.51-86
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• 1996

The primary purpose of this study is to verify the difference of behavioural characteristics between the subject specialists and professional searchers in searching full-text databases. The major findings and conclusions from this study are summarized as follows. Analyses of Search questions(the degree of understanding with search questions, the degree of difficulty in selecting terms, and the degree of expectation of search results), search processes(the number of search terms used, the number of Boolean operators and qualifiers used, the number of documents browsed and the search time(the connecting time, time to spend per one output document, time to spend per one relevant output document) and search results(the searching efficiency(the number of relevant documents, the ,recall ratio and the precision ratio), the search cost(the total search cost. the search cost per one output document and the search cost per one relevant output document) and the degree of satisfaction with search results) are significantly different between the subject specialists and professional searchers in searching full-text databases.

• Proceedings of the Korean Society for Quality Management Conference
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• 2007.04a
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• pp.59-63
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• 2007

Customers have the various needs and personalities and try to get them. The behaviour of buying products, one of the highlight things, is the most general phenomenon of filling up their desires, and even these types are eventually personalized. Also there are various criteria for selecting it and also those are to be determined by the customers' own personalities. Mostly customers show the more attractive behaviours for those products which are more attractive to them, and for carefully buying them they use various paths. The criteria to buy the products are the mostly generalized things such as price, design, size, weight, trend, and so on, and it can be affected by the specifics of the products. But it is not definitely unimportant to consider the personality. Customers have the unusual personality for the product which is more attractive to them, and then for the unattractive, they only show the unclear criteria or specifics. The existing studies are focused on the product itself, and then they just show the results related to the specifics of the products, but it could be considered a case that the customers could think some products classified into the highly involvement products would be the lower involvement ones. Upon this, for same products if the customers show some differences of information(relating to the degree of involvement), I am going to figure it out by using AHP that what the criteria to buy is. In this study, with the computer products which are considered as the highly involvement products, I will select two groups showing the differences of awareness of the products, and then figure out the selecting criteria.

• Proceeding of KASS Symposium
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• 2008.05a
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• pp.107-112
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• 2008

This paper investigates the variation of post-buckling behaviours of 2-dimensional shallow arch type truss after sizing optimization. The mathematical programming technique is used to produce the optimum member size of 2D arch truss against a central point load. Total weight of structure is considered as the objective function to be minimized and the displacement occurred at loading point and member stresses of truss are used as the constraint functions. The finite difference method is used to calculate the design sensitivity of objective function with respect to design variables. The postbuckling analysis carried out by using the geometrically nonlinear finite element analysis code ISADO-GN. It is found to be that there is a huge change of post-buckling behaviour between the initial structure and optimum structure. Numerical results can be used as useful information for future research of large spatial structures.

• CELLMED
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• v.2 no.4
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• pp.36.1-36.4
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• 2012

This study was carried out to investigate the neurobehavioural effects of the smoking of Carica papaya leaves based on ethnopharmacological information. Twenty -four rats used for the study were grouped into four groups namely; Groups 1 (Control, unexposed to any smoke) and Groups 2 - 4 (exposed to smoke from varying amount of pawpaw leaf powder). Groups 2, 3, and 4 were exposed to smoke from 6.25 g (low dose), 12.50 g (medium dose), and 18.75 g (high dose) of dry pawpaw leaves respectively in a smoking chamber twice daily for 21 one days with each exposure lasting 3 min. The spontaneous motor activities and locomotory behaviour of the animals were assessed using an open field maze and hole board maze test. The results showed that the smoking of Carica papaya leaves led to a significant (p < 0.05) increase in locomotory activities from $33.36{\pm}3.36$ (control) to $66.50{\pm}6.16$ (high dose), number of head dips (from $8.50{\pm}0.36$, to $12.83{\pm}0.87$) and rearing behaviour (from $14.83{\pm}0.74$, to $27.0{\pm}1.46$). However, the freezing durations as animals were introduced into the maze and grooming behaviour were significantly (p < 0.05) reduced in the treated groups. In conclusion, the increased ambulations and exploratory behaviours imply that the anxiety level is low in the treated groups compared to the control group which thus confirms that dry Carica papaya leaf may possibly contain psychoactive substance(s) that become active when smoked.

• Korean Journal of Community Nutrition
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• v.13 no.3
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• pp.386-395
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• 2008

Since obesity has been a crucial issue regarding children's health in Korea, numerous studies have been conducted. However, it is difficult to locate studies that can help researchers and/or medical professionals who want to study behavioral differences between obese and normal weight (non-obese) children. The collected literature about obese childrens behaviors were accumulated by performing 'key word' searches from several web engines: 'obesity' 'children obesity' 'behavior' 'habit' 'eating behavior or habit' 'exercise' 'physical activity' and 'daily behavior'. The information was extracted and the behaviors were reviewed utilizing 30 papers that revealed any differences from normal weight children with at least p .05 level of significance. According to those studies, the obese children tended to skip meals more often as a method of losing weight. They also have an increased appetite, eat larger portions and rarely leave food on their plates. The obese children prefer to eat high fat, high calorie foods and eat faster than their normal weight counterparts. Also, the children usually eat alone and eat at irregular meal times. Beside the behaviors related to the standard three meals a day, obese children have high preferences for snacking. The children reported that with pocket money they usually eat certain types of snacks without parent approval. The children stated that they exercise more on a regular basis. However, when asked about their participation they were not likely to engage actively. Meanwhile, they tend to spend free time doing sedentary activities such as watching TV or playing on the computer. Since these studies used self -reported questionnaires with a small sample, size there may be difficulty in forming a basis about obese children's behaviors. Nevertheless, these findings are in accordance with other studies conducted in local as well as western countries. In conclusion, obese children have different daily behaviors or routines from normal weight children. It is recommended that altering these behavioral patterns to match those of normal weight children should be encouraged.

• International Journal of Computer Science & Network Security
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• v.22 no.10
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• pp.374-388
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• 2022

Cloud computing has been one of the most critical technology in the last few decades. It has been invented for several purposes as an example meeting the user requirements and is to satisfy the needs of the user in simple ways. Since cloud computing has been invented, it had followed the traditional approaches in elasticity, which is the key characteristic of cloud computing. Elasticity is that feature in cloud computing which is seeking to meet the needs of the user's with no interruption at run time. There are traditional approaches to do elasticity which have been conducted for several years and have been done with different modelling of mathematical. Even though mathematical modellings have done a forward step in meeting the user's needs, there is still a lack in the optimisation of elasticity. To optimise the elasticity in the cloud, it could be better to benefit of Machine Learning algorithms to predict upcoming workloads and assign them to the scheduling algorithm which would achieve an excellent provision of the cloud services and would improve the Quality of Service (QoS) and save power consumption. Therefore, this paper aims to investigate the use of machine learning techniques in order to predict the workload of Physical Hosts (PH) on the cloud and their energy consumption. The environment of the cloud will be the school of computing cloud testbed (SoC) which will host the experiments. The experiments will take on real applications with different behaviours, by changing workloads over time. The results of the experiments demonstrate that our machine learning techniques used in scheduling algorithm is able to predict the workload of physical hosts (CPU utilisation) and that would contribute to reducing power consumption by scheduling the upcoming virtual machines to the lowest CPU utilisation in the environment of physical hosts. Additionally, there are a number of tools, which are used and explored in this paper, such as the WEKA tool to train the real data to explore Machine learning algorithms and the Zabbix tool to monitor the power consumption before and after scheduling the virtual machines to physical hosts. Moreover, the methodology of the paper is the agile approach that helps us in achieving our solution and managing our paper effectively.