Earticle

The purpose of this study is to seek new u-business services in restaurant management. Using the concept of business model methodology in family restaurant management domain, this study identifies customers' needs in services at the stage of management of purchase of materials, the production management, and the sales management. In addition, this study suggests two killer applications of a family restaurant management linking with the latest ubiquitous computing technologies: the service of the customer-oriented menu recommendation and the service of the inventory-oriented menu recommendation. These findings may offer practical insights in the context of ubiquitous service model of restaurant management.

More and more cloud computing services are being applied in various fields; however, it is difficult for users and cloud computing service platforms to establish trust among each other. The trust value cannot be measured accurately or effectively. To solve this problem, we design a service-oriented cloud trust assessment model using a cloud model. We also design a subjective preference weight allocation (SPWA) algorithm. A flexible weight model is advanced by combining SPWA with the entropy method. Aiming at the fuzziness and subjectivity of trust, the cloud model is used to measure the trust value of various cloud computing services. The SPWA algorithm is used to integrate each evaluation result to obtain the trust evaluation value of the entire cloud service provider.

Our prediction model is based on the development of "Semantic Location Model." It embodies geometrical and topological information which can increase the efficiency in prediction and make it easy to manipulate the prediction model. Data mining is being implemented to extract the inhabitant's location patterns generated day by day. As a result, the self-learning system will be able to semantically predict the inhabitant's location in advance. This context-aware system brings about the key component of the ubiquitous computing environment. First, we explain the semantic location model and data mining methods. Then the location prediction model for the ubiquitous computing system is described in details. Finally, the prototype system is introduced to demonstrate and evaluate our prediction model.

The initial research of Task Computing in the ubiquitous computing (UbiComp) environment revealed the need for access control of services. Context-awareness of service requests in ubiquitous computing necessitates a well-designed model to enable effective and adaptive invocation. However, nowadays little work is being undertaken on service access control under the UbiComp environment, which makes the exposed service suffer from the problem of ill-use. One of the research focuses is how to handle the access to the resources over the network. Policy-Based Access Control is an access control method. It adopts a security policy to evaluate requests for resources but has a light-weight combination of the resources. Motivated by the problem above, we propose a universal model and an algorithm to enhance service access control in UbiComp. We detail the architecture of the model and present the access control implementation.

Cloud computing is the concept of providing information technology services on the Internet, such as software, hardware, networking, and storage. These services can be accessed anywhere at any time on a pay-per-use basis. However, storing data on servers is a challenging aspect of cloud computing. This paper utilizes cryptography and access control to ensure the confidentiality, integrity, and proper control of access to sensitive data. We propose a model that can protect data in cloud computing. Our model is designed by using an enhanced RSA encryption algorithm and a combination of role-based access control model with extensible access control markup language (XACML) to facilitate security and allow data access. This paper proposes a model that uses cryptography concepts to store data in cloud computing and allows data access through the access control model with minimum time and cost for encryption and decryption.

Ubiquitous computing environment means the computing environment that has taken its position so closely with the ordinary living so much like air or water. In building up the U-Korea, one of the important issues is the social issue from the drastic increase of senior population. The contemporary society has its distinct trend in increase of senior household following the nuclear family orientation, increase of working parents with the advancement of women in society, unable to support seniors for long distance or short distance of business trip and other reasons that the need of senior welfare has been ever more felt. Accordingly, the Ministry of Government Affairs and Home Administration has developed the wireless paging system to make prompt response system for 119 Rescue when the single senior is encountered with emergency situation that is has been widely provided for the socially neglected people such as single senior, the disabled persons and others. Currently, the wireless paging system is operated as the sub-system for emergency rescue information system, but due to the lack of reliability of product, problems of terminal portable transmitter, receptor and others, rejection of beneficiary and lack of knowledge in use, insufficient management and supervision of managing officers, the efficiency has been declined that there is a need of development for the system. Therefore, this study proposes the context aware information structure of the subject of ubiquitous wireless paging system required for the development of the wireless paging system model of ubiquitous environment that improved the problems of currently operated wireless paging system.

The Cloud Computing has become one of the hottest issues in the world of information technology (IT). However, the understanding of the determinants of user’s continuance intention in the context of cloud computing services is still limited. To fill the gap, this article attempts to demonstrate the factors that influence individuals’ continuance intention of cloud computing services. In this study, we adopted the Stimulus-Organism-Response (SOR) framework as research framework. And then, on the basis of the IS success model, UTAUT model and TTF, this research proposed an integrated model to investigate the factors that affect the cloud computing continuance intention. Furthermore, perceived functionality fit is regarded as a significant intervening variable and tested in the research..

4차 산업혁명시대 핵심인 IoT(사물인터넷) 기술이 발전하면서 다양한 적용 분야가 생겨나고 있으며, 그에 따른 서비스를 이용하는 사용자 수도 대폭 증가하고 있다. 주변 환경에 흩어져 있는 수많은 IoT 디바이스들에 의해 생성되는 실시간 센싱 데이터들을 실시간 클라우드 컴퓨팅 환경에 전송하여 저장하는 것은 시간 및 저장 공간에 대한 효율성이 적합 하지 않다. 따라서 이러한 문제들을 해결하기 위해서 응답시간을 최소화 하면서 처리 시간이 효율적으로 관리가 될 수 있도 록 하는 포그 컴퓨팅이 제안되었다. 그러나 포그 컴퓨팅이라는 새로운 패러다임에 대한 보안 요구사항이 아직 정립되지 않고 있다. 클라우드 끝단에 있는 센서노드들은 컴퓨팅 파워가 높지 않기 때문에 보안 모듈을 적용하기가 어렵고, 보안 모듈 적용 시에 경량화된 프로토콜 적용을 통하여 보안과 효율성을 수립하여야 한다. 따라서 이 논문에서는 포그 컴퓨팅에 대한 보안 모델 제시와 포그 컴퓨팅에 최적화된 보안 요구사항을 제시하여 안전한 포그 컴퓨팅 발전에 기여한다.

IoT technology is developing with various application areas in 4th Industrial revolution. There are many users using the application services. Sensing data from various environment need to be transferred to cloud computing storage and store in the cloud storage. However, physical distance from the end node to cloud computing storage is far away, and it is not efficient to transfer data from sensors and store the sensing data in the cloud storage whenever sensing data happen. Therefore, Fog computing is proposed to solve these problems which can process and store the sensing data. However, Fog computing is new emerging technology, there is no standard security model and requirements. This research proposes to security requirements and security model for Fog computing to establish a secure and efficient cloud computing environment.

Negative consequences incurred from employees’ non-work-related computing (NWRC) have been one of the security-related issues in information intensive organizations. While most studies have focused on the factors that motivate employees to engage in NWRC, this study examines the mediating effect of moral beliefs on the relationship between sanctions and NWRC using a moral beliefs-based model. The research model posits that the formal (i.e., punishment severity and detection certainty) and informal sanctions (subjective norms and descriptive norms) enhance employees’ moral beliefs against NWRC intention. From a cross-sectional scenario- based survey involving 176 employees working at banks in Mongolia, our results indicate that moral beliefs fully mediate the relationship between detection certainty/subjective norms and NWRC intention and act as a partial mediator in the relationship between descriptive norms and NWRC. The findings from this study present empirical evidence that both informal and formal sanctions could be an effective deterrent for NWRC intention through employees’ moral beliefs.

반도체 공정에서는 소자 내부의 물리량 계산을 통해 불순물의 움직임을 해석하여 결점을 검출하는 시뮬레이션을 수행하게 된다. 이를 위해 유한 차분 시간 영역 알고리즘(Finite-Difference Time-Domain, 이하 FDTD)과 같은 수치해석 기법이 사용된다. 반도체 칩의 집적도 향상으로 인하여 소자의 크기는 나노스케일 시대로 접어들었으며, 시뮬레이션 사이즈 또한 커지고 있는 추세이다. 이에 따라 CPU와 GPU 같은 하나의 연산 장치에서 수행할 수 없는 문제와 다중의 연산 장치로 구성된 한 대의 컴퓨터에서 수행할 수 없는 문제가 발생하기도 한다. 이러한 문제로 인해 분산 병렬처리를 통한 FDTD 알고리즘 연구가 진행되고 있다. 하지만 기존의 연구들은 단일 연산장치만을 이용하기 때문에 GPU를 사용하는 경우 연산 속도는 빠르나 메모리의 제한이 있으며 CPU의 경우 GPU에 비해 연산 속도가 느린 단점이 존재한다. 이를 해결하기 위해 본 논문에서는 CPU, GPU의 이기종 연산 장치를 포함하는 컴퓨터로 구축된 클러스터 상에서 작업 사이즈에 제한되지 않고 시뮬레이션 수행이 가능한 컴퓨팅 모델을 구현하였다. 점대점 통신 기반의 MPI 라이브러리를 이용하여 연산 장치 간 통신을 통한 시뮬레이션을 테스트 하였고 사용하는 연산 장치의 종류와 수에 상관없이 시뮬레이션이 정상 동작함을 확인하였다.

In the semi-conductor process, a simulation process is performed to detect defects by analyzing the behavior of the impurity through the physical quantity calculation of the inner element. In order to perform the simulation, Finite-Difference Time-Domain(FDTD) algorithm is used. The improvement of semiconductor which is composed of nanoscale elements, the size of simulation is getting bigger. Problems that a processor such as CPU or GPU cannot perform the simulation due to the massive size of matrix or a computer consist of multiple processors cannot handle a massive FDTD may come up. For those problems, studies are performed with parallel/distributed computing. However, in the past, only single type of processor was used. In GPU's case, it performs fast, but at the same time, it has limited memory. On the other hand, in CPU, it performs slower than that of GPU. To solve the problem, we implemented a computing model that can handle any FDTD simulation regardless of size on the cluster which consist of heterogeneous processors. We tested the simulation on processors using MPI libraries which is based on 'point to point' communication and verified that it operates correctly regardless of the number of node and type. Also, we analyzed the performance by measuring the total execution time and specific time for the simulation on each test.

This study expands limitation of OASIS(Optimal Allocation of Spares for Initial Supports) program, which calculates CSP(Concurrent Spare Part), not only availability but also cost, and developed the program enabling run in WINDOW OS. By considering multi-step repair and logistics support system, repairing capability at the time of deployment, and procurement period, this model is the first local model reflecting circumstances of the armed forces of the Republic of Korea. Furthermore, the programmed model was selected as the military standard software and has being essentially used for CSP calculation.

불연속 범주형 자료에 대한 잠재변수가 존재한다는 가정하에 임계값을 추정하고 잠재변수를 생성하며 생성된 잠재변수 및 기타 연속변량에 대한 관측치를 포함하는 다변량 임계개체모형을 설정하고 유전능력을 예측하기 위한 방법을 제시하였다. 각각의 범주형 조사 자료의 특성을 갖는 형질에 있어서 임계점의 추정은 추정 가능한 임계점에 대한 1차 미분값(gradient)과 2차 미분값(Hessian)을 이용한 Newton 방법을 이용하면 추정가능하며 지역모수인 육종가의 추정은 PCG 방법으로 구현 가능하다. 이러한 이론은 Quaas(2001)가 제시한 하나의 이산형 자료와 하나의 연속형 자료의 2변량 동시 분석방법을 확장하여 전개한 것이며 이때 잠재변수 및 임계점의 추정은 기타 형질의 잔차 회귀계수 및 상관을 고려해야 한다. 본 연구를 위한 모의실험은 2개의 연속변량으로 체중과 유량을 고려하였고 또 다른 2개의 불연속 변량인 분만난이도와 출생시 생존유무를 고려하여 4형질 동시 분석을 실시하였다. 임계모형에 의한 육종가 추정치의 정확도는 4개의 구간으로 분류되어 기록된 분만난이도의 경우에 91 ~ 92%의 정확도를 보였고 이항분포인 분만시 생존유무에 대하여는 87 ~ 89%의 정확도를 보였다. 반면에 이들 범주형 자료를 선형으로 간주하고 분석한 선형 동물개체 혼합모형에서는 72 ~ 84% 및 59 ~ 70%으로 비교적 낮은 추정의 정확도를 보였다. 따라서 범주형 자료의 유전분석은 선형 혼합모형 보다 임계형 혼합모형이 크게 타당할 것으로 사료되었다.

Algorithms for estimating breeding values on several categorical data by using latent variables with threshold conception were developed and showed. Thresholds on each categorical trait were estimated by Newton's method via gradients and Hessian matrix. This algorithm was developed by way of expansion of bivariate analysis provided by Quaas(2001). Breeding values on latent variables of categorical traits and observations on linear traits were estimated by preconditioned conjugate gradient(PCG) method, which was known having a property of fast convergence. Example was shown by simulated data with two linear traits and a categorical trait with four categories(CE = calving ease) and a dichotomous trait(SB = Still Birth) in threshold animal mixed model(TAMM). Breeding value estimates in TAMM were compared to those in linear animal mixed model (LAMM). As results, correlation estimates of breeding values to parameters were 0.91 ~ 0.92 on CE and 0.87 ~ 0.89 on SB in TAMM and 0.72 ~ 0.84 on CE and 0.59 ~ 0.70 on SB in LAMM. As conclusion, PCG method for estimating breeding values on several categorical traits with linear traits were feasible in TAMM.

새롭게 출현하는 클라우드 컴퓨팅의 비즈니스 모델은 콘텐츠 비즈니스 플랫폼 제공자를 중심으로 산업별로 특화된 클라우드 플랫폼을 제공하며 고객들에게 새로운 산업별 비즈니스 모델이 구현된 서비스를 제공한다. 특히 융복합화 된 비즈니스 서비스(Business Service)가 점차 중요해 질 것이며 퍼블릭(Public)화된 비즈니스 모델은 기존의 서 비스를 융합 및 통합 발전시키며 새로운 콘텐츠를 위한 마켓플레이스를 만들어 갈 것이다. 새로운 컴퓨팅 패러다임 인 클라우드 컴퓨팅의 퍼블릭 비즈니스 서비스는 특히 제공자와 수혜자의 관계에서 향상된 서비스의 전달을 통하여 콘텐츠 서비스 품질 향상이 이루어지도록 서비스모델이 개발되어져야 하며 그 디자인도 새로운 요건이 고려되어야 한다. 이 연구는 서비스 사이언스 관점에서 클라우드 컴퓨팅 플랫폼에 기반한 신규 비즈니스 모델을 서비스 시스템 으로 해석하고 특히 클라우드 컴퓨팅에서의 비즈니스 서비스 시스템의 구현에 있어 클라우드 컴퓨팅 서비스의 이해 관계자에 대한 분석과 클라우드 컴퓨팅 서비스 시스템의 디자인 요건 분석을 통하여 서비스 모델 개발을 위한 방향 과 품질을 개선하고 효율적으로 클라우드 컴퓨팅 서비스를 할 수 있는 서비스 사이언스 프레임워크의 모델을 적용 하여 클라우드 컴퓨팅 서비스 플랫폼의 구현 방향에 관하여 연구한다.

Abstract As a new contents business platform, emerged cloud computing business model can provide industry-specific platform to each and every client with newly designed and implemented business solutions and services. As a result, converged business services will be increasingly important. Specifically, publicized service business model would transform traditional services to be converged and integrated, and create new marketplace for new contents. The requirements of public cloud business model should be defined on new relationship with service providers and beneficiaries that could achieve improved services and contents delivery and ensured quality. This paper is to study new business model on cloud computing platform with service science, management and engineering logics. By analyzing every stakeholder and design requirement for contents business model on cloud, a new service system approach could help to identify the smarter solutions for continuous improvement and sustainable growth of cloud computing business model - a truly new computing paradigm.

IoS(Internet of Sensors) means there are no limits to places or equipment with mutual cooperation sensor network. IoS system, running developers Portal site based on Web, needs the system that various developers provide IT resource form with IoS. In other words, cloud vendor has to provide high quality services to all user and mitigate the dissipation of IT resources. In this paper, we study provided open source and open API from existing developer center. Beside, we study the model which provides a substantive development circumstance using cloud computing. Also, we will suggest the guide line for the effective and reliable IoS Cloud system build up.

접근제어 목적은 컴퓨팅 자원을 불법적인 사용자로부터 유출, 수정, 파괴와 같은 비합법적인 행위로부터 원천적으로 차단하고 보호하는데 있다. 클라우드 컴퓨팅 환경이 가상화 기술을 활용한 자원공유 서비스로 확장됨에 따라 동적이고 안전한 클라우드 기반 서비스를 제공하기 위해서는 새로운 보안 모델과 접근제어 기법이 요구되어진다. 본 가상화 관리 융합접근제어 모델은 역할기반 접근제어 기법에 동적 권한 배정 기능을 적용하여 유연한 사용자 권한 부여 기능을 제공하였다. 또한 보안등급과 규칙에 의거한 접근제어 기법을 적용함으로써 공유개념의 가상머신 시스템에서 권한충돌 문제 해결과 물리적 자원의 안전성을 보장토록 하였다. 본 모델은 안전하고 효율적인 클라우드 기반의 가상화 관리 시스템을 구축하는데 도움이 될 것이며 향후 다단계 특성을 반영한 메카니즘으로 확장될 필요성이 있다.

The purpose of access control is to prevent computing resources from illegal behavior such as leakage, modification, and destruction by unauthorized users. As the cloud computing environment is expanded to resource sharing services using virtualization technology, a new security model and access control technique are required to provide dynamic and secure cloud-based computing services. The virtualization management convergence access control model provides a flexible user authorization function by applying the dynamic privilege assignment function to the role based access control mechanism. In addition, by applying access control mechanism based on security level and rules, we solve the conflict problem in virtual machine system and guarantee the safeness of physical resources. This model will help to build a secure and efficient cloud-based virtualization management system and will be expanded to a mechanism that reflects the multi-level characteristics

본 연구의 목적은 소프트웨어 교육에서 학습자들의 컴퓨팅 사고력을 신장시키기 위한 개발 중심 모형(Discovery-Design-Development: DDD)의 효과를 검증하는 것이다. 개발 중심 모형은 탐구, 설계, 구현의 3단계를 거쳐 실생활 문제를 해결하기 위한 SW를 개발하는 과정을 학습하는 수업모형이다. 이러한 개발 중심 모형의 효과를 검증하기 위해 SW 교육 수업 경험이 없는 초급 수준의 G 대학교 1학년 학생을 대상으로 실험하였다. 그 결과 개발 중심 모형을 통해 SW 개발을 경험한 학생들의 SW 교육에 대한 학습 동기는 사전-사후 간 유지되었으며 특히 자신감 영역은 유의미하게 높아졌다. 또한, 학생들은 특히 설계(Design) 단계가 CT 능력 향상에 도움이 되었으며 개발 중심 모형은 문제분해와 알고리즘의 개념 이해에 상당한 도움이 된다고 응답하였다.

The purpose of this study is to verify the effectiveness of the Development-oriented model (Discovery-Design-Development: DDD) for developing students' Computational Thinking skills in software education. DDD is a class model that learns the process of developing SW to solve real-life problems through three stages of Discovery, Design, and Development. In order to verify the effectiveness of the DDD, first grade students at G university who did not have SW education class were tested. As a result, the students who experienced SW development through DDD maintained the learning motivation of SW education before and after, especially the confidence area increased significantly. In addition, students also noted that the Design phase was particularly helpful in improving CT abilities and the DDD was a significant help in understanding of decomposition and algorithms.

피지컬 컴퓨팅은 컴퓨팅을 인간과 환경, 사물의 영역으로 확장한 개념으로 하드웨어와 소프트웨어 통합한 물리적 산출물 기반의 프로그래밍 학습매체로 주목받고 있다. 본 연구에서는 기술적 자유도가 높은 피지컬 컴퓨팅의 특징을 활용한 인터랙티브 프로토타이핑 기반의 프로그래밍 학습 모형을 개발하고 실험연구를 통해 학습 효과를 분석하였다. 실험처치 효과 검증을 위해 초등학교 5학년 59명 학습자를 대상으로 실험집단과 통제집단으로 구성하고 실험집단에는 인터랙티브 프로토타이핑 프로그래밍 학습모형을 적용하고 통제집단에는 선형순차 프로그래밍 학습모형을 적용하였다. 실험처치 전·후 정보과학 창의적 성향 검사를 실시하였고 두 집단의 사전검사 점수를 공변량으로 처리한 공분산분석(ANCOVA) 결과 유의수준 .05에서 학습 효과가 있음을 증명하였다. 이를 통해 초등학교 5학년 학습자를 대상으로 피지컬 컴퓨팅 기반의 인터랙티브 프로토타이핑 프로그래밍 학습모형의 프로그래밍 학습에 적용 가능성을 시사한다.

Physical computing is the concept of expanding computing to humans, environments, and objects. It draws attention as a programming learning medium based on physical outputs in integration of hardware and software. This study developed a programming learning model based on interactive prototyping using the characteristics of physical computing with a high degree of technical freedom and analyzed its learning effect in an experiment. To examine the effect of the experimental treatment, this researcher divided fifty nine 5th-grade elementary students into an experimental group and into a control group. the interactive prototyping programming learning model was applied to the experimental group, and a linear sequential programming learning model was applied to the control group. Information Science Creative Personality Test was conducted before and after the experimental treatment. Analysis of Covariance was conducted with the pre-test scores of the two groups. As a result, it was proved that there was the effect of learning at the significance level of .05. It indicates that the physical computing based interactive prototyping programming learning model is applicable to the programming learning for 5th-grade elementary students.