Recently, as service design was introduced to improve the quality of public service, there have been many attempts to improve various public service. In the process, various stakeholders including general citizens are participating in the design improvement activity through a method of design service but the parties are facing a difficulty in the progress because of a limitation of time and budget and a lack of professionalism among the member while the parties are planning the process and activities based on the professional service design method. Persona method that is usually used in the process of service design is encountering a limitation as well. Also, there are continuous attempts to understand the limitation of persona and apply an alternative research method among service and UX designers. For this reason, this thesis is to recognize the limitation in deduction method of traditional persona and suggests a fast and economical production method of Rapid Persona speaking for the goal of users and overcoming the limitation. Furthermore, by applying the suggested method of making Rapid Persona to an actual public service design project of National Statistical Office, the test through an empirical study was conducted. This was conducted with the purpose of progressing a discussion in the respect of actual application beyond a banal discussion. Through the research method suggested in this study, it is expected to overcome the limitation of time and a lack of professionalism and, based on these, can be used in the process of various service design and UX design as establishing persona in a fast and easy way.
The Journal of the Convergence on Culture Technology
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v.7
no.4
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pp.251-256
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2021
Currently, in the field of community service, it is expected that the demand will further increase in the future by enabling the form of providing various types of services. However, the local community service investment project is an abstract Although the structure for fair competition was created by introducing a market mechanism derived from the action or principle of psychology that affects human behavior in the field, systematic management and monitoring of the quality of social services is insufficient. The purpose of this study is to find out the relationship between service selection factors and service quality in order to improve the quality of social services in the consumer's way to meet these environmental needs, and to utilize the research results for quality improvement. The research model to be used in this paper measures the five element areas of service satisfaction such as reliability, responsiveness, empathy, certainty, and tangibility, which are used to measure the quality of local community service investment projects. In addition, we are various strategic implications that can induce the quality improvement of local community service investment projects are presented by finding the main factors of the four research hypotheses of this study and utilizing the results.
KSII Transactions on Internet and Information Systems (TIIS)
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v.17
no.2
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pp.312-334
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2023
In large-scale computing, cloud computing plays an important role by sharing globally-distributed resources. The evolution of cloud has taken place in the development of data centers and numerous servers across the globe. But the cloud information centers incur huge operational costs, consume high electricity and emit tons of dioxides. It is possible for the cloud suppliers to leverage their resources and decrease the consumption of energy through various methods such as dynamic consolidation of Virtual Machines (VMs), by keeping idle nodes in sleep mode and mistreatment of live migration. But the performance may get affected in case of harsh consolidation of VMs. So, it is a desired trait to have associate degree energy-performance exchange without compromising the quality of service while at the same time reducing the power consumption. This research article details a number of novel algorithms that dynamically consolidate the VMs in cloud information centers. The primary objective of the study is to leverage the computing resources to its best and reduce the energy consumption way behind the Service Level Agreement (SLA)drawbacks relevant to CPU load, RAM capacity and information measure. The proposed VM consolidation Algorithm (PVMCA) is contained of four algorithms: over loaded host detection algorithm, VM selection algorithm, VM placement algorithm, and under loading host detection algorithm. PVMCA is dynamic because it uses dynamic thresholds instead of static thresholds values, which makes it suggestion for real, unpredictable workloads common in cloud data centers. Also, the Algorithms are adaptive because it inevitably adjusts its behavior based on the studies of historical data of host resource utilization for any application with diverse workload patterns. Finally, the proposed algorithm is online because the algorithms are achieved run time and make an action in response to each request. The proposed algorithms' efficiency was validated through different simulations of extensive nature. The output analysis depicts the projected algorithms scaled back the energy consumption up to some considerable level besides ensuring proper SLA. On the basis of the project algorithms, the energy consumption got reduced by 22% while there was an improvement observed in SLA up to 80% compared to other benchmark algorithms.
The National Competency Standards(NCS) has been developed a good curriculum to reflect the demand in the industry. NCS is defined as systemizing the knowledge, skill, and attitude required to perform a task in the industry. It is an effort to reduce the gap between educational requirements and occupational requirements. However, when NCS is applied, the task level is changed to the title of qualification according to the policy outcomes for the government project. And, the NCS has been emphasizing the purpose of license acquisition, rather than using the standard for tasks in the industry. It means that the misuse of NSC hinders utilizing it as the original purpose of standardizing a task. It requires the customer to study the required competency unit with a no-choice option. Moreover, it makes it hard for companies or industry autonomically run the NCS. Therefore, we define the operational range in terms of the education field, the qualification field, and the career field to diffuse and apply NCS, and suggest the effective utilization method.
Journal of Korean Library and Information Science Society
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v.40
no.2
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pp.287-310
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2009
This paper strives to shed a new light on current academic resource sharing initiatives of both Korea Research Foundation(KRF) and Korea Science and Engineering Foundation(KOSEF), and seeks the measure to administer information resource effectively for a unified organization, which will launch soon, through the comparison and scrutiny, and analyses of strength and weakness on current projects. It first of all attempts to draw outcomes and suggestions on the basis of issues and implications identified through the exhaustive as-is analyses in the aspects of management, service, and infrastructure of academic resource sharing initiatives carried out by each foundations. The unification of projects and information systems are discussed in two aspects, as viewed each significant measures, that is, 1) an organizational aspect in terms to develop a new academic and research information service through the unification of operation systems related to information service project of each foundation; 2) An Initiative toward the integrated service via the unification of scattered individual unit systems in each foundation.
The rapid changes in the industrial environment are providing crises and opportunities for small and medium-sized export enterprises. This study focused on overseas marketing support projects, especially effective consulting support for online marketing, in response to changes in the role of SMEs. Through a survey on companies participating in the online export support project, it was analyzed that both the consultant's competence and service quality had a significant effect on satisfaction, and that satisfaction had a significant effect on corporate performance. Also, satisfaction showed some significant mediating effects. In order to achieve business results, the competence of the consultant and the quality of service must be achieved together. This study presents the criteria for determining substantive factors necessary for the improvement of export support projects, and further studies on capacity-building measures for each factor should be conducted in the future.
E-Government provides convenient information and service, and enhances service quality to people by using new technology. E-Government now becomes representative project that many countries in the world are promoting competitively as a key method improving national competitiveness in the 21st century. With joining WTO, China is also facing a new challenge as e-Government is becoming increasingly common. In accordance with this trend china's e-Government is developing rapidly. But at the same time it also reveals many problems. Especially government and e-Government laws and policies are not integrated into one and legal basis to change management system of government is still weak. Thus, this study deals in generalities such as the concept of Chinese electronic government, the process, the purpose, related issues of the policy by comparing the current state of the Chinese electronic government with Korea electronic government. The purpose of this study is to derive implications from the comparative analysis.
Background: Disabled people have particularly restricted access to health care. In response to this, the pilot project for the general physician (GP) system for disabled people was implemented in 2018, based on the rights of people with disability to the Health Act in South Korea. However, its participants were 0.2% among the total of those with severe disabilities in 2021. Therefore, this study examined the factors related to registering with a GP and the access level to its services to suggest implications for activating the participation of disabled people. Methods: We analyzed factors affecting the registration with a GP and the number of using the services among the participants of the GP system during May 2018 and December 2021 by conducting hierarchical logistic regression and hierarchical regression. The data were linked with the national health insurance data to examine various predictors, including disability types, socioeconomic status, health status, and GP registration. Results: As a result of analyzing the factors affecting whether or not to register for the pilot project, those with disabilities (physical disabilities, brain lesions, visual, intellectual, mental, and autistic disability) eligible for disability care (odds ratio [OR], 4.157) than other disability, and those living in metropolitan (OR, 4.330) or cities (OR, 3.332) than rural residences were highly likely to enroll the pilot study. Health-related variables also predicted the registration status of the pilot project. The predictors related to GP enrollment types (membership type: general health or disability care, GP's affiliation: clinics or hospitals) significantly influenced levels of access to services. Conclusion: It is necessary to develop the GP project for disabled people by considering the variation in types of disability, residences, and health. Further study will be needed to investigate the impact of GPs on the level of participation among disabled people.
When making urban planning, it is important to understand climate effect caused by urban structural changes. Seoul city applies UPIS(Urban Plan Information System) which provides information on urban planning scenario. Technology for analyzing climate effect resulted from urban planning needs to developed by linking urban planning scenario provided by UPIS and climate analysis model, CAS(Climate Analysis Seoul). CAS develops for analyzing urban climate conditions to provide realistic information considering local air temperature and wind flows. Quantitative analyses conducted by CAS for the production, transportation, and stagnation of cold air, wind flow and thermal conditions by incorporating GIS analysis on land cover and elevation and meteorological analysis from MetPhoMod(Meteorology and atmospheric Photochemistry Meso-scale model). In order to reflect land cover and elevation of the latest information, CAS used to highly accurate raster data (1m) sourced from LiDAR survey and KOMPSAT-2(KOrea Multi-Purpose SATellite) satellite image(4m). For more realistic representation of land surface characteristic, DSM(Digital Surface Model) and DTM(Digital Terrain Model) data used as an input data for CFD(Computational Fluid Dynamics) model. Eight inflow directions considered to investigate the change of flow pattern, wind speed according to reconstruction and change of thermal environment by connecting green area formation. Also, MetPhoMod in CAS data used to consider realistic weather condition. The result show that wind corridors change due to reconstruction. As a whole surface temperature around target area decreases due to connecting green area formation. CFD model coupled with CAS is possible to evaluate the wind corridor and heat environment before/after reconstruction and connecting green area formation. In This study, analysis of climate impact before and after created the green area, which is part of 'Connecting green network across the north and south in Seoul' plan, one of the '2020 Seoul master plan'.
Saxena, Shailesh;Khan, Mohammad Zubair;Singh, Ravendra;Noorwali, Abdulfattah
International Journal of Computer Science & Network Security
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v.21
no.11
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pp.345-353
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2021
Cloud computing represent a new era of computing that's forms through the combination of service-oriented architecture (SOA), Internet and grid computing with virtualization technology. Virtualization is a concept through which every cloud is enable to provide on-demand services to the users. Most IT service provider adopt cloud based services for their users to meet the high demand of computation, as it is most flexible, reliable and scalable technology. Energy based performance tradeoff become the main challenge in cloud computing, as its acceptance and popularity increases day by day. Cloud data centers required a huge amount of power supply to the virtualization of servers for maintain on- demand high computing. High power demand increase the energy cost of service providers as well as it also harm the environment through the emission of CO2. An optimization of cloud computing based on energy-performance tradeoff is required to obtain the balance between energy saving and QoS (quality of services) policies of cloud. A study about power usage of resources in cloud data centers based on workload assign to them, says that an idle server consume near about 50% of its peak utilization power [1]. Therefore, more number of underutilized servers in any cloud data center is responsible to reduce the energy performance tradeoff. To handle this issue, a lots of research proposed as energy efficient algorithms for minimize the consumption of energy and also maintain the SLA (service level agreement) at a satisfactory level. VM (virtual machine) consolidation is one such technique that ensured about the balance of energy based SLA. In the scope of this paper, we explore reinforcement with fuzzy logic (RFL) for VM consolidation to achieve energy based SLA. In this proposed RFL based active VM consolidation, the primary objective is to manage physical server (PS) nodes in order to avoid over-utilized and under-utilized, and to optimize the placement of VMs. A dynamic threshold (based on RFL) is proposed for over-utilized PS detection. For over-utilized PS, a VM selection policy based on fuzzy logic is proposed, which selects VM for migration to maintain the balance of SLA. Additionally, it incorporate VM placement policy through categorization of non-overutilized servers as- balanced, under-utilized and critical. CloudSim toolkit is used to simulate the proposed work on real-world work load traces of CoMon Project define by PlanetLab. Simulation results shows that the proposed policies is most energy efficient compared to others in terms of reduction in both electricity usage and SLA violation.
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