• Journal of Intelligence and Information Systems
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• v.14 no.4
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• pp.147-160
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• 2008

BPMS(business process management system) facilitates defining new processes or updating existing processes. However, processing of exceptional or nonroutine task requires the intervention of domain experts or introduction of the situation specific resolution process. This paper assumes sufficient amount of business process exception handling cases are stored in the process repository. Since the retrieval of the best exception handling process requires a good understanding about the exceptional situation, context awareness is an important issue. To facilitate the understanding of exceptional situation and to enable the efficient selection of the best exception handling process, we adopted the 'situation variable' and 'decision variable' construct. A case example for exception handling in the e-commerce delivery process is provided to illustrate how the proposed construct works. Application of the C5.0 algorithm guarantees the construction of an optimum search tree. It also implies that an efficient search path has been identified for the context aware selection of the best exception handling process.

• Journal of the Institute of Electronics and Information Engineers
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• v.51 no.4
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• pp.90-97
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• 2014

Context-aware systems provide proper services for the user according to current contexts. However, it is not actively deployed in our daily lives as expected, due to many concerns including occurrences of exceptions. C++/C#/JAVA provide exception handling facilities for desktop computing programs, but context-aware system developers might feel far more difficult to make use of such general facilities, because it is hard to decide the timing and position of exception handling with various devices engaged. In this paper, we propose an exception detection and handling mechanism using device semantics and AspectJ so that it can constantly detect a large number of devices to allow the programmers to detect and handle exceptions with less burden.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2006.05a
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• pp.265-270
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• 2006

In an organization where major business operations are geared by business process management system(BPMS), routine tasks are processed according to the predefined business processes. However, most business operations are subject to some sort of exceptions, and the exceptional situations require update of the existing business process model, or a new business process model has to be defined to handle the exceptions. This paper proposes a system architecture that deploys business process repository as the media for storage and retrieval of the various business process models developed for exception handling. Well defined situation variables and decision variables play the key role for efficient storage and retrieval of the business process models developed for exception handling. The data mining technique C5.0 was used to build the optimum path for the process repository search tree.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.22 no.4
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• pp.73-79
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• 2022

The Python language widely used in artificial intelligence (AI) projects is an interpreter language, and errors occur at runtime. In order to prevent project failure due to errors, it is necessary to handle exceptions in code that can cause exceptional situations in advance. In particular, in AI projects that require a lot of resources, exceptions that occur after long execution lead to a large waste of resources. However, since exception handling depends on the developer's experience, developers have difficulty determining the appropriate exception to catch. To solve this need, we propose an approach that recommends exceptions to catch to developers during development by learning the existing exception handling statements. The proposed method receives the source code of the try block as input and recommends exceptions to be handled in the except block. We evaluate our approach for a large project consisting of two frameworks. According to our evaluation results, the average AUPRC is 0.92 or higher when performing exception recommendation. The study results show that the proposed method can support the developer's exception handling with exception recommendation performance that outperforms the comparative models.

• Proceedings of the Korean Society of Computer Information Conference
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• 2019.01a
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• pp.373-376
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• 2019

최근 AI 기술이 학술적 연구단계를 넘어 산업계에서 활용이 확산됨에 따라, 실시간 시스템 분야에서도 AI를 접목하려는 움직임이 증가하고 있다. 실시간 시스템은 시간 제약이 있는 시스템으로써, 자율주행 시스템과 같은 안전 최우선 시스템에서는 시간 제약 위반으로 인한 예외 상황 발생 시, 심각한 피해로 이어질 수 있기 때문에 예외 상황 처리를 위한 신뢰성 있는 시스템 설계가 필요하다. 본 논문에서는 실시간 임베디드 AI를 위한 스트림 데이터 처리 언어인 Splash에 신뢰성 향상을 위한 예외 처리 메커니즘을 구현하였다. 구체적으로 예외 감지와 처리 부분으로 나눠서, 예외 상황을 감지하는 시점 및 방법을 정의하고 예외 발생 시 이를 처리하는 과정을 구현하였다. 예외 처리 메커니즘은 실시간 발행/구독 기반의 통신 미들웨어인 DDS 상에 라이브러리 형태로 구현되었으며, 시계열 센서 데이터를 사용하여 확인한 결과, 응용 개발자가 명시한 제약 사항 위반 시 발생하는 예외를 성공적으로 감지하고 예외 처리 동작을 수행하는 것을 확인하였다.

• Journal of KIISE:Software and Applications
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• v.27 no.3
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• pp.275-289
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• 2000

ML's exception handling makes it possible to describe exceptional execution flows conveniently. Sometimes, current implementation of exception handling introduces unnecessary overhead. Our goal is to reduce this overhead by source-level transformation. To this end, we transform source programs into variant of continuation-passing style(CPS), replacing handle and raise expressions by continuation-catching and throwing expressions, respectively. CPS-transforming every expression, however, introduces a new cost. We therefore use an exception analysis to transform expressions selectively: if an expression is statically determined to involve exceptions then it is CPS-transformed; otherwise, it is left in direct style. In this article, we formalize this selective CPS transformation, prove its correctness, and present possible improvement for our transformation.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.19 no.6
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• pp.183-189
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• 2019

Despite its low cost, ARM is widely used in smartphones, digital cameras, home network devices, and wireless technologies because of its low power consumption and reliable performance. The domestic memory semiconductor design technology is in the world's highest level, but that of the processor is far less than that, which results in the technology unbalance between the memory and the processor. When designing a processor, exception and interrupt capabilities are requisite, but this is often omitted in the research stage. However, exception processing and interrupts must be included in order for the processor to function fully. In this paper, we design a 32-bit ARMv4 family of processors with exception handling and interrupts using VHDL and verify with ModelSim. As a result, ARM's exception and interrupts are successfully performed.

• The KIPS Transactions:PartA
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• v.12A no.6 s.96
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• pp.471-476
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• 2005

Exception mechanism in Java allows programmers to define, throw and catch exceptional conditions. It is important for the development of reliable programs to make sure that exceptions are handled appropriately at run-time. In this paper, we develop an exception monitoring system, which can help programmers trace and handle exceptions effectively. Using this system, programmers can examine exception handling process in detail by tracing only interesting exceptions, and can handle exceptions more effectively. To reduce performance overhead, we design the system based on code instrumentation. Moreover, we show the effectiveness of the system by experiments on benchmark programs.

• Proceedings of the Korean Information Science Society Conference
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• 2005.11a
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• pp.823-825
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• 2005

자바는 이식성과 보안의 장점으로 인하여 내장형 시스템에서 널리 사용되고 있으나 인터프리터를 통한 바이트코드의 수행으로 인하여 성능이 저하되는 문제를 포함하고 있다. 이를 해결하기 위한 한 방법으로 수행시간 전에 바이트코드를 기계어 코드로 미리 번역하여 수행시간에는 기계어 코드가 수행되도록 하는 Ahead-of-Time 컴파일러 (AOTC)가 사용되고 있다. 특히 바이트코드를 C코드로 변환한 다음 기존의 컴파일러를 이용하여 기계어 코드를 생성하는 방식을 많이 택하고 있다. 본 논문에서는 AOTC에서 효율적인 예외처리 (exception handling) 기법을 제안한다. 기존의 AOTC 에서는 예외를 발생하는 메쏘드와 예외를 처리하는 메쏘드가 다른 경우 setjmp/longjmp를 이용하여 예외처리를 수행하고 있으나 우리는 메쏘드 호출 후의 예외 검사를 통해 예외처리를 수행한다. 우리는 제안된 예외처리 방법은 Sun의 CDC 가상 머신을 위해 개발된 AOTC 에 구현되었으며 SPECjvm98 벤치마크에서의 실험을 통해 setjmp/longjmp 방식에 비해 $1.3\%$에서 $154\%$까지의 성능향상이 가능함이 확인되었다.

• Journal of Digital Convergence
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• v.13 no.1
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• pp.257-262
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• 2015

The ministry of security and public administration provide the secure coding guide that can remove the vulnerability of applications and defend cyber attack from the coding step because cyber attack like the hacking about 75% abusing the vulnerability of applications. In this paper we find the oder of priority and did the criticality analysis used by AHP about 7 items in the secure coding which the ministry of security and public administration provide. The result is decided that 'exception handling' is the most important item. There is no secure coding items in software supervision currently, therefore the result of the research will make good use audit standards in the process of the software development.