• Journal of Internet Computing and Services
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• v.17 no.5
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• pp.51-58
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• 2016

The unprecedented power of cloud computing (CC) that enables free sharing of confidential data records for further analysis and mining has prompted various security threats. Thus, supreme cyberspace security and mitigation against adversaries attack during data mining became inevitable. So, privacy preserving data mining is emerged as a precise and efficient solution, where various algorithms are developed to anonymize the data to be mined. Despite the wide use of generalized K-anonymizing approach its protection and truthfulness potency remains limited to tiny output space with unacceptable utility loss. By combining L-diversity and (${\alpha}$,k)-anonymity, we proposed a hybrid K-anonymity data relocation algorithm to surmount such limitation. The data relocation being a tradeoff between trustfulness and utility acted as a control input parameter. The performance of each K-anonymity's iteration is measured for data relocation. Data rows are changed into small groups of indistinguishable tuples to create anonymizations of finer granularity with assured privacy standard. Experimental results demonstrated considerable utility enhancement for relatively small number of group relocations.

• Nuclear Engineering and Technology
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• v.53 no.1
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• pp.111-120
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• 2021

During the core disruptive accident (CDA) of sodium-cooled fast reactor (SFR), the molten fuel and steel are solidified into debris particles, which form debris bed in the lower plenum. When the boiling occurs inside debris bed, the flow of coolant and vapor makes the debris particles relocated and the bed flattened, which called debris bed relocation. Because the thickness of debris bed has great influence on the cooling ability of fuel debris in low plenum, it's very necessary to evaluate the transient changes of the shape and thickness in relocation behavior for CDA simulation analysis. To simulate relocation behavior, a large number of debris bed relocation experiments were carried out by improved bottom gas-injection experimental method in this paper. The effects of different experimental factors on the relocation process were studied from the experiments. The experimental data were also used to further evaluate a semi-empirical onset model for predicting relocation.

• Journal of Mechanical Science and Technology
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• v.15 no.2
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• pp.217-224
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• 2001

In this paper, the relocation of a mobile robot is considered such that it enables the robot to determine its position with respect to a global reference frame without any $\alpha$ priori position information. The robot acquires sonar range data from a two-dimensional model composed of planes, corners, edges, and cylinders. Considering individual range as data features, the robot searches the best position where the data features of a position matches the environmental model using a constraint-based search method. To increase the search efficiency, a hypothesize and-verify technique is employed in which the position of the robot is calculated from all possible combinations of two range returns that satisfy the sonar sensing model. Accurate relocation is demonstrated with the results from sets of experiments using sparse sonar data in the presence of unmodeled objects.

• The Journal of Industrial Distribution & Business
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• v.11 no.3
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• pp.29-38
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• 2020

Purpose: Geographical relocation has been conducted to alleviate overcrowding and to support balanced regional development in many countries. Previous studies have seldom examined the effectiveness of relocation on job and life dissatisfaction, particularly in the public sector. The purpose of this study is to investigate the determinants of relocation on job and life dissatisfaction. Proposed research questions include the following: i) do working conditions in the new workplace and interactivity affect job dissatisfaction? ii) do social infrastructure and social activity in the new location affect life dissatisfaction? and iii) is there a relationship between job and life dissatisfaction? Research Design, data, and methodology: The study collected data via an online survey and applied statistical analyses such as factor analysis, regression, and ANOVA. Results: The results of this study found that proposed determinants excluding mobility inefficiency and decision-making affect job and life dissatisfaction. The results also showed that there are relationships between job and life dissatisfaction. Conclusions: The results of this study provide both managerial and policy implications of relocation for the public sector. The results of this study implied that better policy should be designed to increase job and life satisfaction that also accounts for the realities of relocation.

• Journal of Korean Academy of Nursing
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• v.40 no.3
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• pp.307-316
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• 2010

Purpose: The purpose of this study was to identify the levels of relocation stress syndrome (RSS) and influencing the stress experienced by Intensive Care Unit (ICU) patients just after transfer to general wards. Methods: A cross-sectional study was conducted with 257 patients who transferred from the intensive care unit. Data were collected through self-report questionnaires from May to October, 2009. Data were analyzed using the Pearson correlation coefficient, t-test, one-way ANOVA, and stepwise multiple linear regression with SPSS/WIN 12.0. Results: The mean score for RSS was $17.80{\pm}9.16$. The factors predicting relocation stress syndrome were symptom experience, differences in scope and quality of care provided by ICU and ward nursing staffs, satisfaction with transfer process, length of stay in ICU and economic status, and these factors explained 40% of relocation stress syndrome (F=31.61, p<.001). Conclusion: By understanding the stress experienced by ICU patients, nurses are better able to provide psychological support and thus more holistic care to critically ill patients. Further research is needed to consider the impact of relocation stress syndrome on patients' health outcomes in the recovery trajectory.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.9
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• pp.3120-3137
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• 2021

Small-sized IoT wireless sensing devices can be deployed with small aircraft such as drones, and the deployment of mobile IoT devices can be relocated to suit data collection with efficient relocation algorithms. However, the terrain may not be able to predict its shape. Mobile IoT devices suitable for these terrains are hopping devices that can move with jumps. So far, most hopping sensor relocation studies have made the unrealistic assumption that all hopping devices know the overall state of the entire network and each device's current state. Recent work has proposed the most realistic distributed network environment-based relocation algorithms that do not require sharing all information simultaneously. However, since the shortest path-based algorithm performs communication and movement requests with terminals, it is not suitable for an area where the distribution of obstacles is uneven. The proposed scheme applies a simple Monte Carlo method based on relay nodes selection random variables that reflect the obstacle distribution's characteristics to choose the best relay node as reinforcement learning, not specific relay nodes. Using the relay node selection random variable could significantly reduce the generation of additional messages that occur to select the shortest path. This paper's additional contribution is that the world's first distributed environment-based relocation protocol is proposed reflecting real-world physical devices' characteristics through the OMNeT++ simulator. We also reconstruct the three days-long disaster environment, and performance evaluation has been performed by applying the proposed protocol to the simulated real-world environment.

• Journal of Korean Critical Care Nursing
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• v.8 no.2
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• pp.43-54
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• 2015

Purpose: This study aimed to identify the effects of education, using a relocation information guidebook, on the family caregivers of patients who were scheduled to be transferred from a neurosurgical intensive care unit to a general ward. Methods: They were divided into two groups: an experimental group (n = 21) and a control group (n = 20). A relocation information guidebook was created based on a literature review and an interview with five family caregivers about how to satisfy their needs. The collected data were analyzed with a ${\chi}^2$ test, Fisher's exact test, paired t-test, and t-test. Results: The effect of education, using the relocation information guidebook, on the family caregivers of patients who were relocated to a general ward from the neurosurgical intensive care unit was not significant for relocation stress (t = 0.94p, = .352) or anxiety (t = 1.25, p = .217), but was significant for education satisfaction (t = -2.50, p = .017). Conclusion: There were no differences in relocation stress and anxiety scores between the control and experimental groups. However, several methodological issues were highlighted that must be considered in future research, including the timing and measurement of transfer anxiety, and the intervention itself.

• Atmosphere
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• v.20 no.4
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• pp.437-449
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• 2010

The relocation effect of observation station (REOS) on the homogeneity of seasonal mean of maximum and minimum temperature, diurnal temperature range (DTR) and relative humidity (RH) was investigated using surface observation data and document file. Twelve stations were selected among the 60 stations which have been operated more than 30 years and relocated over one time. The data from Chunpungryeong station were used as a reference to separate the impacts of station relocation from the effects caused by increased green house gases, urbanization, and others. The REOS was calculated as a difference between REOS of relocated station and REOS of reference station. Although the REOS is clearly dependent on season, meteorological elements, and observing stations, statistically significant impacts are found in many stations, especially the environment of observing station after relocation is greatly changed. As a result, homogeneity of seasonal mean of meteorological elements, especially DTR and RH, is greatly reduced. The results showed that the effect of REOS, along with the effect of urbanization, should be eliminated for the proper estimation of climate change from the analysis of long-term observation data.

• ETRI Journal
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• v.44 no.2
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• pp.244-259
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• 2022

Bicycle- or bike-sharing systems (BSSs) have received increasing attention as a secondary transportation mode due to their advantages, for example, accessibility, prevention of air pollution, and health promotion. However, in BSSs, due to bias in bike demands, the bike rebalancing problem should be solved. Various methods have been proposed to solve this problem; however, it is difficult to apply such methods to small cities because bike demand is sparse, and there are many practical issues to solve. Thus, we propose a demand prediction model using multiple classifiers, time grouping, categorization, weather analysis, and station correlation information. In addition, we analyze real-world relocation data by relocation managers and propose a relocation algorithm based on the analytical results to solve the bike rebalancing problem. The proposed system is compared experimentally with the results obtained by the real relocation managers.

• The Journal of Asian Finance, Economics and Business
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• v.10 no.1
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• pp.233-242
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• 2023

This study intends to investigate the impact of leadership style on civil servants' (in 4 ministries representatives of the Indonesian government) readiness to change and relocate to the future capital of Indonesia (Ibu Kota Nusantara / IKN). The quantitative approach was used from the data survey from 62 high-level civil servant representatives using a questionnaire. The collected data was analyzed using the SPSS software and exploratory factor analysis (EFA). The findings also indicated that, out of the 12 indicators of leadership style measured in this study, persuasion and integration leadership style should be considered crucial and important factors in shaping supportive behavior in the context of readiness for change. Making the relocation process successful requires avoiding the type of initiation structure leadership style. The finding of this study reveals that to choose the best leaders, the Indonesian government is urged to use these two criteria (persuasion and integration leadership style), especially for those in charge of facilitating the relocation process to IKN. Additionally, to demonstrate their confidence and make full use of their resources, leaders who are in command must be able to anticipate that the relocation of civil servants would go smoothly with less risk.