• TTA Journal
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• s.165
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• pp.100-103
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• 2016

• Anxiety and mood
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• v.19 no.1
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• pp.1-9
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• 2023

Objective : To translate and adapt the Social Appearance Anxiety Scale into Korean and validate the Korean version of the social appearance anxiety scale, which measures the fear and anxiety about being negatively evaluated by others based on one's overall appearance, including body shape. Methods : For item translation and adaptation, six bilingual translators participated in the process of forward-adaptation and back-adaptation. Data were collected from undergraduate students. The sample size is 105 for Study 1 and 212 for Study 2. Classical item discrimination and difficulty analyses, exploratory factor analysis (EFA), confirmatory factor analysis (CFA), and reliability analysis were performed. Results : A unidimensional structure was found with a high internal consistency (Cronbach's α=0.95) and a high test-retest reliability (r=0.918). In addition, the concurrent validity was examined by correlations of the scale and several other scales measuring constructs related to social appearance anxiety. Conclusion : K-SAAS appears to be a reliable and valid scale for screening and assessing social appearance anxiety.

• The KIPS Transactions:PartC
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• v.19C no.1
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• pp.1-8
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• 2012

Recently, due to the development of broadband, there is a significant increase in utilizing on-demand Saas (Software as a Service) which takes advantage of the technology. Nevertheless, the academic and practical levels of digital forensics have not yet been established in cloud computing environment. In addition, the data of user behavior is not likely to be stored on the local system. The relevant data may be stored across the various remote servers. Therefore, the investigators may encounter some problems in performing digital forensics in cloud computing environment. it is important to analysis History files, Cookie files, Temporary Internet Files, physical memory, etc. in a viewpoint of client, since the SaaS basically uses the web to connects the internet service. In this paper, we propose the method that analysis the usuage trace of the Saas which is the one of the most popular cloud computing services.

• Analytical Science and Technology
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• v.31 no.2
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• pp.96-105
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• 2018

This study aimed to improve the method for detecting eight secondary aliphatic amines (SAAs), so as to measure their concentrations in fresh water and tap water samples. NaOH (8 mL, 10 M) and benzenesulfonyl chloride (2 mL) were added to a water sample (200 mL), and the mixture was stirred at $80^{\circ}C$ for 30 min. An additional NaOH solution (10 mL) was added and the stirring was continued for another 30 min. The pH of the cooled mixture was adjusted to 5.5-6.0 by adding HCl (35 %), and the SAAs were extracted using dichloromethane (50 mL). This extraction was repeated once. The extract was then washed with $NaHCO_3$ (15 mL, 0.05 M) and dried over $Na_2SO_4$ (4 g). The extract was finally concentrated to 0.1 mL, of which $1{\mu}L$ was analyzed for SAAs by GC-MS. The linearity of the spike calibration curves was high ($r^2=0.9969-0.9996$). The detection limits of the method ranged from 0.01 to $0.20{\mu}g/L$, and its repeatability and reproducibility (expressed as relative standard deviation) were both less than 10 % (6.6-9.4 %). Its accuracy (measured in percentage error) ranged between 2.4 % and 6.1 %. The established method was applied to the analysis of five surface water and 82 tap water samples. Dimethylamine was the only SAA detected in all the water samples, and its average concentration was $0.79{\mu}g/L$ (range: $0.20-2.54{\mu}g/L$). Therefore, this study improved the analytical method for SAAs in surface water and tap water, and the regional and seasonal concentration distributions were obtained.

• Proceedings of the Korea Multimedia Society Conference
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• 2012.05a
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• pp.172-176
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• 2012

섬유산업은 다품종 소량생산 및 납기단축을 요구함으로써 기업간 실시간 정보협업 (재고유무, 공정진행 등)이 필수 요소로 대두되고 있으며, 이를 해결하기 위하여 섬유산업 특성을 반영한 효율적 정보 협업시스템 개발 및 보급을 목적으로 SCM 정보시스템 구축을 위한 비즈니스 프로세스를 모델링하였다. 또한 기업에서 현재 사용 중인 ERP 외 신규 SCM 구축에 따른 기존 사용자 거부반응을 최소화하기 위하여 기존 사용 중인 ERP시스템에 부착하여 정보협업이 가능한 표준 게이트웨이 모듈과 자체 시스템이 없는 중소 영세기업을 위한 Saas기반SCM으로 분류하여 비즈니스 프로세스를 설계 및 프로토타입을 구현하였으며, 기업 데이터 연계를 위한 거래문서정보 표준화 도출을 통하여 수평적 정보협업 업무통합 비즈니스 프로세스를 설계하였다.

• Journal of KIISE:Software and Applications
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• v.28 no.6
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• pp.450-459
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• 2001

다각도로 분석된 학업 성취도를 신속하게 제공받는 학생들은 그렇지 않은 학생들에 비해 차후에 더 나은 학업 성과를 보인다. 그러나 현재의 한국 학교 현장에서 시행되고 있는 평가 방법을 이를 반영하지 못하고 있다. 본 연구에서는 이러한 서비스를 온라인으로 교사와 학생에게 제공하는 ‘학업성취도 분석시스템’인 SAAS를 설계하고 구현하였다. 이 시스템은 비즈니스 데이터를 다차원적으로 분석하여 부가가치를 창출하는데 쓰이는 신기술인 OLAP을 이용한다. 학생, 과목, 기간 차원에 대한 종합적 성취도 분석 결과가 산출되고, 이는 편리한 인터페이스를 통해 제공된다. 시스템의 성능향상을 위해서 분석결과의 부분적 사전연산 방식과 큐브의 청크 단위 저장 방식이 사용되었다. SAAS는 전국 단위 학생 성적 분석을 위해서도 쓰일 수 있을 정도로 성능면에서 확장성을 지니며, 제 7차 교육과정 개혁에도 적용이 가능하다.

• Proceedings of the Korea Information Processing Society Conference
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• 2015.10a
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• pp.800-802
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• 2015

클라우드 시스템은 온라인상에서 사용자가 원하는 형태에 따라 Saas, Paas, Iaas 등의 다양한 방식으로 자원을 할당받아 사용할 수 있는 시스템을 말한다. 또한 모바일 하드웨어의 성능이 나날이 발전함에 따라 클라우드 시스템을 모바일 환경에서 이용하는 것이 가능해졌는데, 모바일 환경에서는 편리한 이동성이라는 장점을 지니고 있지만, 무선의 방식으로 통신하기 때문에 전력 소모량에 대하여 한계점이 있다. 이를 해결하기 위해서 본 논문에서는 모바일 디바이스 이용자들이 클라우드 서비스를 이용하고자 할 때, 전력 소모를 줄인 경량화된 사용자의 인증 프로토콜을 제안하였다.

• Journal of Oral Medicine and Pain
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• v.26 no.4
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• pp.369-376
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• 2001

Objectives : The purposes of the study was to evaluate cephalometric characteristics in snorers and patients with obstructive sleep apnea (OSA) and to see any relationships between the cephalometric measurements and respiratory disturbance indices (RDI). Materials and Methods : Twelve snoring patients, 11 patients with OSA, and 10 normal subjects were included for the study. After taking a screening sleep study for a night to obtain RDI, $SaO_2$, and snoring index, a detailed cephalometric analysis was conducted to obtain SNA, SNB, SN-MP, IAS, MAS, SPAS, SAAS, Mn-H, and PNS-P. All the data were compared between groups. For a group including 12 snoring patients and 11 OSA patients, correlation coefficients were calculated between respiratory disturbance index and each item of cephalometric measurements. Results : The mandible and the maxilla are retropositioned. The oropharyngeal and hypopharyngeal airway is reduced in area and is a factor that could produce or enhance OSA symptoms. The hyoid bone is displaced inferiorly. The soft palate is significantly elongated. Conclusions : These data suggest that cephalometric evaluation could be useful to evaluate snoring and OSA patients, and to assist with the planning treatment for improvement of upper airway patency.

• International Journal of Computer Science & Network Security
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• v.24 no.3
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• pp.23-28
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• 2024

The multi-tenancy and high scalability of the cloud have inspired businesses and organizations across various sectors to adopt and deploy cloud computing. Cloud computing provides cost-effective, reliable, and convenient access to pooled resources, including storage, servers, and networking. Cloud service models, SaaS, PaaS, and IaaS, enable organizations, developers, and end users to access resources, develop and deploy applications, and provide access to pooled computing infrastructure. Despite the benefits, cloud service models are vulnerable to multiple security and privacy attacks and threats. The SaaS layer is on top of the PaaS, and the IaaS is the bottom layer of the model. The software is hosted by a platform offered as a service through an infrastructure provided by a cloud computing provider. The Hypertext Transfer Protocol (HTTP) delivers cloud-based apps through a web browser. The stateless nature of HTTP facilitates session hijacking and related attacks. The Open Web Applications Security Project identifies web apps' most critical security risks as SQL injections, cross-site scripting, sensitive data leakage, lack of functional access control, and broken authentication. The systematic literature review reveals that data security, application-level security, and authentication are the primary security threats in the SaaS model. The recommended solutions to enhance security in SaaS include Elliptic-curve cryptography and Identity-based encryption. Integration and security challenges in PaaS and IaaS can be effectively addressed using well-defined APIs, implementing Service Level Agreements (SLAs), and standard syntax for cloud provisioning.

• Journal of Internet Computing and Services
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• v.10 no.2
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• pp.85-98
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• 2009

Recently, there are a number of researches and developments for the personalized software platform for mobility based on SaaS. The platform requires an optimal virtual machine in order to satisfy the operating systems of various users for the software. In addition, the platform must guarantee the mobility of the users' working environments by supporting fast and secure services between internal and external networks in the platform operating systems. In order to verify the optimal behaviors of virtual machines for the platform, the performance of the virtual machines must be measured and analyzed in various perspectives. In the previous research, unfortunately, the performance of a virtual machine were conducted in the condition that a guest operating system was installed on the virtual machine and considered as a computer, by measuring the network traffic between the guest operating system and an external client operating system. This performance measurement was not suitable for a virtual machine for the platform since a number of different software must be handled in the virtual machine. In order to overcome this limitation, this paper presents a measurement method for network performance and proposes the most optimal virtual machine by the method.