• Journal of Korean Institute of Industrial Engineers
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• v.25 no.1
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• pp.87-99
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• 1999

A shop floor control system(SFCS) performs the production activities required to fill orders. In order to effectively control these activities, the autonomous agent-based heterarchical shop floor control architecture is adopted where a supervisor does not exist. In this paper, we define functional perspective of the heterarchical shop floor control using planning, scheduling, and execution modules. In particular, we focus on an execution module that can coordinate the planning and scheduling modules and a general execution module that easily can be modified to execute the other equipment. The execution module can be defined informally as a module that downloads and performs a set of scheduled tasks. The execution module is also responsible for identifying and resolving various errors whether they come from hardware or software. The purpose of this research is to identify all the execution activities and solving techniques under the assumptions of the heterarchical control architecture. And we model the execution module in object-oriented modelling technique for generalization. The execution module modeled in object-oriented concept can be adopted to the other execution module easily. This paper also proposes a classification scheme for execution activities of the heterarchical control architecture. Petri-nets are used as a unified framework for modeling and controlling execution activities. For solving the nonexistence of a supervisor, a negotiation-based solution technique is utilized.

• Journal of Korea Society of Digital Industry and Information Management
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• v.6 no.4
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• pp.21-31
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• 2010

A manufacturing execution system in the process according to automation system of installation management has been growing interest about effective system design and effective system manage. In this paper, we propose an ubiquitous Manufacturing Execution System based on RFID/USN for checkup monitoring and history management of installation in manufacturing execution systems. For this, we design and implement installation history and statistics management system based on RFID grafting RFID for efficient installation equipment history and statistics management of ubiquitous Manufacturing Execution System, and was implemented checkup monitoring system based on USN using temperature sensor, humidity sensor, hydraulic pressure sensor for failure prevention of ubiquitous Manufacturing Execution System. And proposed ubiquitous Manufacturing Execution System is implemented based on JSP for access through Web in real time.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.9
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• pp.4349-4371
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• 2019

Moldable parallel tasks are widely used in different areas, such as weather forecast, biocomputing, mechanical calculation, and so on. Considering the deadline and the speedup, scheduling moldable parallel tasks becomes a difficulty. Past work majorly focuses on the LA (List Algorithms) or OMA (Optimizing the Middle Algorithms). Different from prior work, our work normalizes execution time and makes all tasks have the same scope in normalized execution time: [0,1], and then according to the normalized execution time, a method is used to search for the reference execution time without considering the deadline of tasks. According to the reference execution time, we get an initial scheduling result based on AFCFS (Adaptive First Comes First Served) policy. Finally, a heuristic approach is used to improve the performance of the initial scheduling result. We call our method HSRET (a Heuristic Scheduling method based on Reference Execution Time). Comparisons to other methods show that HSRET has good performance in AWT (Average Waiting Time), AET (Average Execution Time), and PUT (Percentages of Unfinished Tasks).

• IEMEK Journal of Embedded Systems and Applications
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• v.14 no.2
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• pp.103-111
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• 2019

The IoT-driven large-scaled systems consist of connected things with on-chip executable embedded software. These light-weighted embedded things have limited hardware space, especially small size of on-chip flash memory. In addition, on-chip embedded software in flash memory is not easy to update in runtime to equip with latest services in IoT-driven applications. It is becoming important to develop light-weighted IoT devices with various software in the limited on-chip flash memory. The remote instruction execution in cloud via IoT connectivity enables to provide high performance software execution with unlimited software instruction in cloud and low-power streaming of instruction execution in IoT edge devices. In this paper, we propose a Cloud-IoT asymmetric structure for providing high performance instruction execution in cloud, still low power code executable thing in light-weighted IoT edge environment using remote instruction execution. We propose a simulated approach to determine efficient partitioning of software runtime in cloud and IoT edge. We evaluated the instruction cloudification using remote instruction by determining the execution time by the proposed structure. The cloud-connected instruction set simulator is newly introduced to emulate the behavior of the processor. Experimental results of the cloud-IoT connected software execution using remote instruction showed the feasibility of cloudification of on-chip code flash memory. The simulation environment for cloud-connected code execution successfully emulates architectural operations of on-chip flash memory in cloud so that the various software services in IoT can be accelerated and performed in low-power by cloudification of remote instruction execution. The execution time of the program is reduced by 50% and the memory space is reduced by 24% when the cloud-connected code execution is used.

• Korean Journal of Computational Design and Engineering
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• v.15 no.3
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• pp.204-211
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• 2010

Recently, business process management has become an important concept to define and execute business process. During the execution of the collaborative business processes defined by the consensus with manufacturing enterprises, a lot of variations can be occurred by various internal and external factors related to business. From this reason, manufacturing enterprises have tried to seek for a technology to define and execute the collaborative business process systematically under the dynamic situations approving process variation. This study defines the collaborative business process among manufacturing enterprises at first and proposes its execution technology under the dynamic situations. Here, the proposed execution technology includes the authority management of each process, sub-process, and activity for security, the forced execution of the incomplete process containing the undefined sub-process, the re-execution in a certain range of business process for correcting errors, and the dynamic selection of sub-process. Furthermore, this study implements a prototype system to check the validity of its application under the dynamic situations.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.34 no.1
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• pp.14-24
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• 2011

Though many researchers have interested in the effects of creativity management on the business performance, few have researched the relationship between management execution systems for creativity management and the performance. This paper tried to identify the relationship between management execution systems for creativity management and the performance by using 181 Korean companies' survey data. In this paper, a creative management execution system is modelled by the six criteria that are widely used in the Malcolmn Baldrige National Quality Award, and the performance is measured by a composite variable called by business capability. Through an analysis of survey data using factor analysis and regression analysis, this paper tried to answer two research questions: Firstly, does creative management execution systems have the characteristics of multi-dimensionality? Secondly, does creative management execution systems have an impact on the firm's performance? It was found that a creative management execution system largely consists of two parts, which are called 'system factor' and 'management support factor', and system factors have a more strong impact on the performance. The contribution of this paper is in suggesting that establishing a systematic creative management execution system is required in order to efficiently manage for creativity.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 1995.04a
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• pp.193-200
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• 1995

A shop floor control system(SFCS), a central part of agile manufacturing, performs the production activities required to fill orders. In order to effectively control these activities, CSCW (computer supported cooperative work) is adopted where a supervisor does not exist. In this paper, we define functional perspective of CSCW-based shop floor control using planning, scheduling, and execution functions. In particular, we focus on an execution model that can coordinate the planning and scheduling functions. Execution can be defined informally as a function that downloads and performs a set of scheduled tasks. Execution is also responsible for identifying and resolving various errors whether they come from hardware or software. The purpose of this research is to identify all the execution activities and solving techniques under the assumptions of CSCW-based heterarchical control architecture. This paper also proposes a classification scheme for execution activities of CSCW-based heterarchical control architecture. Petri-nets are used as a unified framework for modeling and controlling execution activities. For solving the nonexistence of a supervisor, A negotiation-based solution technique is utilized.

• International journal of advanced smart convergence
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• v.6 no.3
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• pp.17-21
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• 2017

In this paper, the service execution accuracy was compared by ontology based rule inference method and machine learning method, and the amount of data at the point when the service execution accuracy of the machine learning method becomes equal to the service execution accuracy of the rule inference was found. The rule inference, which measures service execution accuracy and service execution accuracy using accumulated data and pattern matching on service results. And then machine learning method measures service execution accuracy using cross validation data. After creating a confusion matrix and measuring the accuracy of each service execution, the inference algorithm can be selected from the results.

• Annual Conference of KIPS
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• 2019.05a
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• pp.168-169
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• 2019

Trusted Execution Environment(TEE), such as Intel SGX, AMD Secure Processor and ARM TrustZone, has recently been a rising issue. Trusted Execution Environment provides a secure and independent code execution, hardware-based, environment for untrusted OS. In this paper, we show that Trusted Execution Environment's research trends on its vulnerability and attack models. We classify the previous attack models, and summarize mitigations for each TEE environment.

• Journal of Internet Computing and Services
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• v.17 no.4
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• pp.51-60
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• 2016

Embedded software has requirements such as real-time and environment independency. The real-time requirement is affected from worst-case execution time of loaded tasks. Therefore, to guarantee real-time requirement, we need to determine a program's worst-case execution time using static analysis approach. However, the existing methods for worst-case execution time analysis do not consider the environment independency. Thus, in this paper, in order to provide environment independency, we propose a method for measuring task's execution time from the source codes. The proposed method measures the execution time through the control flow graph created from the source codes instead of the executable codes. However, the control flow graph created from the source code does not have information about execution time. Therefore, in order to provide this information, the proposed method identifies the relationships between statements in the source code and instructions in the executable code. By parameterizing those parts that are dependent on processors based on the relationships, it is possible to enhance the flexibility of the tool that measures the worst-case execution time.