• Proceedings of the Korean Operations and Management Science Society Conference
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• 2006.05a
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• pp.153-158
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• 2006

The emergence of ubiquitous autonomic computing and network environment will change the service architecture information system which will be a new application area in SCM/logistics systems. In this study we surveyed the technical trend map of ubiquitous and its application in SCM/logistics support system design. We described the evolutional model of ubiquitous computing community for SCM/logistics system. It is consisted of three view points; self-growing, autonomic, and context-aware, which will allow the decision makers to be benefited from web and mobile technology and are useful for proactive SCM/logistics support system. Finally, we suggested a cooperative research planning for the development ubiquitous system between the government research center, university, and industry research activities.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.11 no.9
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• pp.4280-4300
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• 2017

The fact that cloud computing services have been proposed in recent years, organizations and individuals face with various challenges and problems such as how to migrate applications and software platforms into cloud or how to ensure security of migrated applications. This study reviews the current challenges and open issues in cloud computing, with the focus on autonomic resource management especially in federated clouds. In addition, this study provides recommendations and research roadmaps for scientific activities, as well as potential improvements in federated cloud computing. This survey study covers results achieved through 190 literatures including books, journal and conference papers, industrial reports, forums, and project reports. A solution is proposed for autonomic resource management in the federated clouds, using machine learning and statistical analysis in order to provide better and efficient resource management.

• Annals of Clinical Neurophysiology
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• v.25 no.2
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• pp.66-77
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• 2023

Orthostatic hypotension is a sustained and pathological drop in blood pressure upon standing. Orthostatic hypotension can be due to non-neurogenic conditions or autonomic disorders. Impaired baroreflex-mediated vasoconstriction and insufficient release of norepinephrine play key roles in the pathophysiology of neurogenic orthostatic hypotension. Its common symptoms mainly related to inadequate cerebral blood flow include dizziness, lightheadedness, and syncope. It is crucial to differentiate neurogenic orthostatic hypotension from non-neurogenic orthostatic hypotension. For the management of neurogenic orthostatic hypotension, physicians should implement non-pharmacological methods and, if possible, reverse combined non-neurological conditions. Depending on severity of symptoms, pharmacological intervention may be tried after or with non-pharmacological methods. Its management should be individualized based on intensity of symptoms, comorbid conditions, drug side effects, and etiology. In this review, we discuss the definition, pathophysiology, clinical approach, and management of neurogenic orthostatic hypotension.

• Journal of Medicine and Life Science
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• v.16 no.3
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• pp.96-100
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• 2019

Postural tachycardia syndrome (POTS) is common, although not so well-known variant of cardiovascular autonomic disorder characterized by an excessive heart rate increase on standing. POTS is probably underdiagnosed due to the heterogeneity in both presentation and etiology. This study aimed to evaluate the clinical and autonomic features in patients with POTS. We reviewed the medical records of patients with POTS. Medical records include onset age, sex, presenting symptoms, body mass index (BMI) and prognosis. All patients had an autonomic function and laboratory tests. Ninety-nine patients met the inclusion criteria for POTS (51.5% male; mean±SD age, 20.0±9.7 years; mean±SD, BMI 21.9±3.9). Common presenting symptoms were a brief loss of consciousness, dizziness, blurred vision and headache. Autonomic function tests showed abnormal quantitative sudomotor axon reflex testing in 20 patients of 99 POTS patients. The abnormal post-ganglionic sympathetic sudomotor function is generally considered to reflect a neuropathic form of POTS. In treatments, 83 patients were treated by non-pharmacological management including lifestyle changes and 16 patients required the initiation of pharmacological therapies. Most patients with POTS showed a relatively favorable prognosis. POTS is a chronic disease with a substantial subset of patients recovering within a few years after the initial presentation. Future efforts should focus on better understanding of POTS pathophysiology and designing randomized controlled trials for the selection of more effective therapy.

• Electronics and Telecommunications Trends
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• v.32 no.1
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• pp.25-34
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• 2017

무선통신, 이동통신 및 사물인터넷 기술의 발달에 힘입어 인터넷의 규모와 복잡도는 해마다 증가하고 있으며, 망의 제어와 관리의 복잡도 역시 함께 증가할 것으로 예상된다. 이에 따라 운용자(operator)가 담당하던 제어와 관리를 망이 스스로 수행하는 자율네트워킹(autonomic networking) 기술이 등장하게 되었다. 초기의 자율네트워킹 연구는 자가관리(self-management)를 위한 프레임워크를 개발하는 것에 중점을 두었으나, 이후에는 SDN/NFV 기반 플랫폼에 기계학습 기술을 접목함으로써, 유연성이 확보된 망에 지능화된 제어 및 관리를 제공하는 방향으로 진화하고 있다. 본고에서는 자율네트워킹에 관한 최근의 연구동향을 소개한다.

• Journal of Communications and Networks
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• v.13 no.6
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• pp.567-582
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• 2011

The growing popularity of the Internet has caused the size and complexity of communications and computing systems to greatly increase in recent years. To alleviate this increased management complexity, novel autonomic management architectures have emerged, in which many automated components manage the network's resources in a distributed fashion. However, in order to achieve effective collaboration between these management components, they need to be able to efficiently exchange information in a timely fashion. In this article, we propose a context dissemination framework that addresses this problem. To achieve scalability, the management components are structured in a hierarchy. The framework facilitates the aggregation and translation of information as it is propagated through the hierarchy. Additionally, by way of semantics, context is filtered based on meaning and is disseminated intelligently according to dynamically changing context requirements. This significantly reduces the exchange of superfluous context and thus further increases scalability. The large size of modern federated cloud computing infrastructures, makes the presented context dissemination framework ideally suited to improve their management efficiency and scalability. The specific context requirements for the management of a cloud data center are identified, and our context dissemination approach is applied to it. Additionally, an extensive evaluation of the framework in a large-scale cloud data center scenario was performed in order to characterize the benefits of our approach, in terms of scalability and reasoning time.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.17 no.2
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• pp.263-269
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• 2017

'Goal Model' is core knowledge of 'Autonomic Control System' suggested to minimize human interference in system management. 'Autonomic Control System' performs 'Monitoring-Analysis-Plan-Execution', that is the four step of 'Autonomic Control', based on 'Goal Model'. Therefore, it is necessary to quantify achievement ratio of 'Goal Model' of target system. Thus, this paper present 'Probabilistic Evaluation of Goal Model' for methodology how to quantify achievement ratio of 'Goal Model'. It comprises 3-steps including 'Goal modeling and weighting', 'Goal model monitoring', 'Goal model evaluation and analysis'. Through these research, we provide core knowledge for 'Autonomic Control system' and it is possible to increase the reliability of system by evaluating 'Goal model' with applying weight. As case study, we apply 'Goal model' to a 'Smart IoT Kit' and we demonstrate the validity of the suggested research.

• Journal of The Korean Society of Integrative Medicine
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• v.11 no.3
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• pp.11-23
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• 2023

Purpose : The stress of job-seeking college students is gradually worsening due to the continuing recession in the job market. Therefore, this study aims to verify whether intervention with an 'aromatherapy education program,' which combines theory and practice, has greater effect on stress, self-efficacy, and autonomic nervous system function than simple inhalation of essential oils in female college students preparing for employment. Methods : A single-blind, randomized controlled trial was conducted once a week for a total of 4 weeks with 29 female college students preparing for employment. Interventions included essential oil inhalation combined with an aromatherapy education program (experimental group(EG), n=14) and essential oil inhalation alone (control group(CG), n=15); measurements were taken before, immediately after, and 2 weeks after completion of the intervention. Evaluations were conducted using the job-seeking stress scale, stress VAS, self-efficacy scale, and a pulse-wave measuring instrument. Results : There were significant differences between the CG and EG groups with repeated measurements of job-seeking stress (p=.003), cognitive stress (p<.001), and self-efficacy (p<.001). There was a significant interaction between group and time. There were also significant differences between the CG and EG in terms of autonomic nervous system changes stress index(p=.047), total power(p=.029), high frequency(p=.036), and low frequency/high frequency ratio(p=.049). However, there was no significant difference in low frequency between the groups. Conclusion : The aromatherapy education program was more effective in improving job-seeking stress, cognitive stress, self-efficacy, and autonomic nervous system function than simple essential oil inhalation. For the aromatherapy education program to be useful as a complementary intervention for stress management in job seekers, it will be necessary to gather additional evidence of its efficacy by conducting follow-up studies with diverse participants and expanding the numbers, and durations, of the interventions.

• Annual Conference of KIPS
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• 2008.11a
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• pp.913-916
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• 2008

다중 센서 데이터 융합(Multi-Sensor Data Fusion)에 기반하여 자율관리 기능을 갖는 상황인식시스템에 대해 연구하였다. 다양한 형태의 센서들이 대규모의 네트워크로 연결된 환경에서 센서로부터 실시간으로 입력되는 데이터들을 융합하여 상황인식처리를 수행하는 시스템으로 노드에 설치된 소프트웨어 콤포넌트의 이상 유무를 자동 감지하고 치료하는 자율관리(Autonomic management) 기능을 갖는다. 제안한 시스템은 유비쿼터스 및 국방 무기체계의 감시·정찰, 지능형 자율 로봇, 지능형 자동차 등 다양한 상황인식 시스템에 적용가능하다.

• Journal of KIISE:Software and Applications
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• v.35 no.12
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• pp.716-730
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• 2008

In Service-Oriented Architecture (SOA), service providers develop and deploy reusable services on the repositories, and service consumers utilize blackbox form of services through their interfaces. Services are also highly evolvable and often heterogeneous. Due to these characteristics of the service, it is hard to manage the faults if faults occur on the services. Autonomic Computing (AC) is a way of designing systems which can manage themselves without direct human intervention. Applying the key disciplines of AC to service management is appealing since key technical issues for service management can be effectively resolved by AC. In this paper, we present a theoretical model, Symptom-Cause-Actuator (SCA), to enable autonomous service fault management in SOA. We derive SCA model from our rigorous observation on how physicians treat patients. In this paper, we first define a five-phase computing model and meta-model of SCA. And, we define a schema of SCA profile, which contains instances of symptoms, causes, actuators and their dependency values in a machine readable form. Then, we present detailed algorithms for the five phases that are used to manage faults the services. To show the applicability of our approach, we demonstrate the result of our case study for the domain of 'Flight Ticket Management Services'.