Jongsun Choi

An integrated management system of virtual resources based on virtualization API and data distribution service

Virtualization technology reduces the costs for server installation, operation, and maintenance and it can simplify the building of distributed systems. Currently, there are various types of virtualization technologies such as Xen, KVM, VMware, etc, and these technologies support various virtualization functions individually on heterogeneous platforms. Therefore, it is required to integrate and manage these heterogeneous virtualized resources in order to build a distributed system supporting current virtualization techniques. In this paper, we propose an integrated management system for managing heterogenous virtual resources. The proposed system is developed based on the following two techniques: a libvirt-based virtualization API and Data Distribution Service (DDS). Libvirt-based virtualization API is to extract information of heterogeneous virtual resources and to control them. DDS is to transmit in real-time the state information and control commands of virtualized resources.

A Context-Aware Workflow System for a Smart Home

A workflow model has been successively applied to traditional computing environments such as business processes for service automation. Recently, there are many studies that have tried to adopt workflows to ubiquitous computing. A service in the ubiquitous computing environments must be executed according to a users situation information. However existing workflow systems have not yet included functions enough to support context-aware services for ubiquitous computing. In this paper, we propose a new context- aware workflow language and system for ubiquitous computing environments. The suggested language can specify context information on the transition constraints of a workflow, and support various workflow functions and adaptive services. And the proposed system can offer context-aware services according to users service demand or situation information. We verify the efficiency of the suggested system, through comparison experiments with existing workflow systems such as FollowMe and uFlow.

Towards an integrated management system based on abstraction of heterogeneous virtual resources

Virtualization technology reduces the costs for server installation, operation, and maintenance and it can simplify development of distributed systems. Currently, there are various virtualization technologies such as Xen, KVM, VMware, and etc, and all these technologies support various virtualization functions individually on the heterogeneous platforms. Therefore, it is important to be able to integrate and manage these heterogeneous virtualized resources in order to develop distributed systems based on the current virtualization techniques. This paper presents an integrated management system that is able to provide information for the usage of heterogeneous virtual resources and also to control them. The main focus of the system is to abstract various virtual resources and to reconfigure them flexibly. For this, an integrated management system has been developed and implemented based on a libvirt-based virtualization API and data distribution service (DDS).

A Smart Service Robot Middleware on Ubiquitous Network Environments

As the importance of robot software has increased, a number of research on robot middleware within client-server architecture has been produced for the past several years. Those middleware usually provide convenient environments, where developers are able to develop robot services in conjunction with the existing libraries. Therefore, rich libraries are essential in the robot middleware. This paper introduces experience learned while developing robot software using the middleware. The middleware allows a robots functions to be described in XML, to be registered to a Web Service server, and to be reused as a Web Service. The approach has some advantages: separation a robots abstract behaviors from hardware dependent implementation, reuse of the existing robot software implementation, and finally, the possibility of cooperation among various robots.

Action Petri Net for Specifying Robot Motions

Smart robots and smart services using robots are promising research fields in academia and industry. However, those smart services are based on basic motions of the robot, such as grabbing objects, and moving them to a designated place. In this paper, we propose a way to produce new motions without programming, from existing motions, through a motion composition method. Our motion composition method utilizes an Action Petri net, which is a variance of a Petri net, with both interpolation and composition operations on a transition. In the Action Petri net, a place is a posture or a moving action of a robot, and it is represented as a diagonal matrix with the robots joint motor values. Robot motions can be generated from one posture to another posture, and from composing different postures and moving actions. All operations performed to generate new motions are carried out as matrix manipulation operations. Our approach provides a formal method to generate new motions from existing motions, and a practical method to create new motions in low level motion control, without programming.

A context-adaptive workflow language for ubiquitous computing environments

Recently, the workflow systems such as uFlow and FollowMe adopt workflow models to support context-aware services in ubiquitous computing environments. A service in the ubiquitous computing environments must be executed according to a users situation information, which is generated dynamically from sensors. However, the existing workflow systems use such workflow languages as uWDL, BPEL and XLANG, which are not yet enough to support context-aware services in ubiquitous computing environments. In this paper, we propose a new workflow language and a workflow system for context-aware workflow services in ubiquitous computing environments. With the suggested workflow language and the workflow system, a user can describe contexts into workflow as service transition conditions and can apply changes of users service demand or situation information into an on-going workflow without interrupting or deleting workflow service. In order to verify the efficiency of the suggested language and system, we design a workflow scenario for context-aware services with the language and simulate a process that the proposed system changes dynamically contexts described in a workflow against changes of users situation information.

A smart service model in greenhouse environment using event-based security based on wireless sensor network

In the smart agricultural environment such as greenhouse or vertical farm, the automation process is performed using the environment sensors to maintain the growth of the crops. Currently, the system rely on the defined rule to perform automation, but the situation can turn catastrophic. With the interruption in the communication, data forging, or eavesdropping, the crops will be rotten and destroyed. Therefore, to maintain the automation without failure, the connection needs to be secure and tampering has to be avoided. In this paper, we discuss the security solution for the wireless sensor networks in the automated agricultural environment without any human intervention. The sink node that collects the sensor values organizes the data and transfer the data to the server, along with the XML encryption and private key mechanism for the communication. The secure protocol is used to make connection using the private key, XML ecryption prevents the system from eavesdropping, and forging. Some of the events discussed in the papers are EVNData, SENSORError, DDoSAttack, and ConnThreat. With the help of the event and the tag information, the data security and confidentiality is increased, for the better automation and crop growth.

Robot Software Platform for IoT-Based Context-Awareness

As Internet of Things (IoT)-based sensors have emerged recently, new technologies are being developed for users to provide suitable services by recognizing the surrounding situations. In the service robot sector, many researches are being carried out in order to exploit the collected data from IoT-based sensors. In addition, researches on robot middleware using context information are actively performed. In this paper, we propose a robot SW platform, which provides IoT-based context-aware services. This robot software platform consists of Ontology Agent, Robot Service Execution Engine, and Context Handler. The Ontology Agent is a module that searches information, such as sensor location, value type, etc., of the IoT devices stored in Ontology Repository and provides them to the Context Handler. The Context Handler reads IoT devices’ data and checks whether service transition conditions are met. If the conditions are satisfied, the data is delivered to the Robot Service Execution Engine, which is in charge of executing services. In experiments, we show a procedure executing the context-aware robot services through definition of robot services, a robot service execution engine, and a context handler, etc.

A service model for nutrition supplement prediction based on Fuzzy Bayes model using bigdata in livestock

The paper proposes a novel method in the decision support system for the nutritional management of livestock using the Bayesian model based on fuzzy rules. The objective is to analysis the decision based on fuzzy rules over the nutrition management that helps to improve the health of the livestock. Bayesian logic mainly focuses on the probabilities of the food intake with respect to the Food Intake Amount, Cow Stage and weight of the livestock. The conditional probability of the Bayesian reasoning is introduced along with the fuzzy rule, to determine the health status of the livestock. The fuzzy logic technique helps to decide on the decision system, when there are more than one dependencies. In this paper, the total digestible nutrient of the cow is determined over the period of time to get the rate of probability, and the fuzzy rule is applied to determine the health status of the cow, to predict the nutritional intake in the livestock.

A rule-based context transforming model for robot services in internet of things environment

In IoT environment, large amount of data can be collected by various sensors, and the collected data can be processed to create new values. On the other hand, in order to provide the robot services to users, context information is required for recognizing the surrounding situational information. However, each sensor gives a single value as context information, so it is difficult to express the surrounding situation of users with only this context information individually. In this paper, we propose a rule-based context transforming model to extract situational information from each context information in IoT environment. The proposed transforming rule is based on a transforming specification that expresses the association between various kinds of context information. The proposed rule can transform it into situational information to use context information of entities having various forms and features by expressing the surrounding situation. In addition, the transforming rule has criteria required for each entity. Therefore the entity information can be used to represent various situations, and the generated situational information can be applied to the robot services. In the experiment, we demonstrated the process of transforming situational information from several sets of context information by applying proposed model.