• Journal of KIISE
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• v.42 no.9
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• pp.1117-1123
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• 2015

Use The Use Case Points method is a software estimation method that is based on user requirements. When requirement analysts elicit user requirements, they obtain different use cases because different levels of detail are possible for the Use Case, and this affects the Use Case Points. In this paper, we suggest a method to refine the level of detail of the Use Case by using the concept of an elementary function. This refinement method achieves the desired reliability for the Use Case Points because it produces less of a deviation in the Use Case Points for different requirement analysts than other methods that are based on the step, transaction, and narrative of the Use Case.

• The Korean Journal of Physiology
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• v.23 no.1
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• pp.67-78
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• 1989

Since the atrial receptor was suggested to be involved in the control of extracellular fluid volume, it has been shown that the granularity of atrial cardiocytes can be changed by water and salt depletion, and that an extract of atrial tissue, when injected intravenously into anesthetized rats, causes a large and rapid increase in renal excretions of sodium and water. The immunoreactive atrial natriuretic peptide (ANP) has been found in the plasma of patients suffering from various cardiovascular diseases. A high level of ANP in the plasma has been reported in essential hypertension. Several studies on the effects of ANP on renal function and arterial blood pressure have presented contradictory results showing attenuated or accentuated responses. Thus, involvement of the ANP in the development of hypertension remains unresolved. Present study was undertaken to investigate whether the ANP is involved in the development of hypertension in two-kidney one-clip Goldblatt hypertensive rats. The plasma concentration of immunoreactive ANP appeared to be significantly elevated in hypertensive rats as compared with normotensive Goldblatt operated and sham-operated rats. Plasma renin concentration was higher in hypertensive rats than in normotensive rats, as observed in earlier experiments. Intravenous infusions of ANP resulted in increases of urine flow and urinary excretions of sodium and potassium in both hypertensive and normotensive rats. The renal response to ANP was markedly accentuated in Goldblatt hypertensive rats. The plasma concentration of ANP showed a linear relationship with the arterial blood pressure. Infusions of ANP reduced blood pressure both in hypertensive and normotensive rats. These results suggest that in Goldblatt hypertensive rats an elevation of ANP level in the plasma may not be a cause, but instead a consequence of hypertension, and that the renal responsiveness to the ANP is accentuated by some unknown mechanisms.

• Korean Journal of Remote Sensing
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• v.33 no.4
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• pp.411-422
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• 2017

This research aims to analyze spectral reflectance of intertidal zone and its changes under various environmental conditions. We sampled sand of Mongsanpo tidal flat, Korea, and measured its spectral reflectance by using a spectroradiometer under various water contents, compositions and granularity. We also simulated the reflectance of Landsat 7 ETM+ and compared it with an actual satellite data. Five locations were selected for sampling from the coastline towards the ocean. Grain size diminished stepwise from the coastline to ocean direction, while spectral reflectance differed with wavelength. Water contents lowered the overall reflectance especially at the water absorption bands. Spectral reflectance data were then converted into the simulated one by using Landsat 7 ETM+ spectral reflectance function to be compared with the actual Landsat 7 ETM+ images. It showed the decrease of the spectral reflectance due to the increase of moisture contents from seashore towards the ocean. It is shown that Landsat 7 ETM+ imagery can be efficient to extract moisture contents in the tidal flat while compositional analysis needs satellite sensors with much higher spectral resolution.

• Journal of Computing Science and Engineering
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• v.4 no.3
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• pp.189-206
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• 2010

It is generally accepted that dynamic voltage scaling (DVS) is one of the most effective techniques of energy minimization for real-time applications in embedded system design. The effectiveness comes from the fact that the amount of energy consumption is quadractically proportional to the voltage applied to the processor. The penalty is the execution delay, which is linearly and inversely proportional to the voltage. According to the granularity of tasks to which voltage scaling is applied, the DVS problem is divided into two subproblems: inter-task DVS problem, in which the determination of the voltage is carried out on a task-by-task basis and the voltage assigned to the task is unchanged during the whole execution of the task, and intra-task DVS problem, in which the operating voltage of a task is dynamically adjusted according to the execution behavior to reflect the changes of the required number of cycles to finish the task before the deadline. Frequent voltage transitions may cause an adverse effect on energy minimization due to the increase of the overhead of transition time and energy. In addition, DVS needs to be carefully applied so that the dynamically varying chip temperature should not exceed a certain threshold because a drastic increase of chip temperature is highly likely to cause system function failure. This paper reviews representative works on the theoretical solutions to DVS problems regarding inter-task DVS, intra-task DVS, voltage transition, and thermal-aware DVS.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.5
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• pp.1829-1846
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• 2021

Transient faults occur in computation units of a processor, which can cause control flow errors (CFEs) and compromise system reliability. The software-based methods perform illegal control flow detection by inserting redundant instructions and monitoring signature. However, the existing methods not only have drawbacks in terms of performance overhead, but also lack of configurability. We propose a configurable approach CCFCA for detecting CFEs. The configurability of CCFCA is implemented by analyzing the criticality of each region and tuning the detecting granularity. For critical regions, program blocks are divided according to space-time overhead and reliability constraints, so that protection intensity can be configured flexibly. For other regions, signature detection algorithms are only used in the first basic block and last basic block. This helps to improve the fault-tolerant efficiency of the CCFCA. At the same time, CCFCA also has the function of solving confusion and instruction self-detection. Our experimental results show that CCFCA incurs only 10.61% performance overhead on average for several C benchmark program and the average undetected error rate is only 9.29%. CCFCA has high error coverage and low overhead compared with similar algorithms. This helps to meet different cost requirements and reliability requirements.

• Journal of the Korean Institute of Intelligent Systems
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• v.27 no.1
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• pp.7-14
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• 2017

Theoretically, it is known that common beliefs and/or common knowledge cannot be attained in asynchronously distributed multiagent environments, however, it show that some propositions with deadlines can be attained as common beliefs among a set of fully trusted agents even when they communicate to each other asynchronously. Generally, in the multiagent environment, the attainment of common beliefs is approached as a problem of communication, and for the common beliefs paradox that the common beliefs is not attained on a system without communication time restriction is applied to loose coarser granularity and it prove that forming common beliefs is possible by relaxing necessary requirements through the KakaoTalk chatting model. I also experimented with the reasoning function that confirms the common beliefs by inquiring about the common belief generated by implementing the inference function in each agent of the KakaoTalk chatting model. Through utilizing metalogic programming, a formalization of the presentation and reasoning of common beliefs has been achieved, and the group chatting model of KakaoTalk was adopted in experiments to show that common beliefs can be formed among distributed agents using asynchronous communication.

• The Transactions of the Korea Information Processing Society
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• v.3 no.4
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• pp.834-845
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• 1996

Two problems can be happened when we construct Integrated Project Support Environment for construction of software integration environment. The first is a problem about granularity of tool. Problems about interface of tools after combination phase which combine many functions into one and when we use some function of tool with other tools, we can't be use by closed interface. The second is a problem that can be happen when we gather data about process. When we measure the development process for enhancement of it, we can get data with tools, but current tools are not prepared to measurement of development process. In this study, we explained that process information tool is needed and proposed analysis and design methodology and evaluation standard. Finally, we considered and evaluated for problems which can be happened when construct environment which is based on this result of study.

• The Transactions of the Korea Information Processing Society
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• v.4 no.3
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• pp.649-658
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• 1997

Database management systems(DMBS)using bolatile memory shluld have a recovery function to protect data against system failutes.Recovery requires much overhead in transaction proessing and is one of the great factors that deteriorate the system performance.Recently, there have been a lot of studies on database systems with nonbolatile memory to enhance the performance.A nonbolatile memory called DFeRAM is one of the promising memory devices of the future technology, but this device does not support fine-franularity licking.In this paper, we present a dual plane FeRAM(DFeRAM)architecture to support the fine-granularity locking.We also propose a recovery algorithm for the database system with the DFeRAM based on a shadow paging methed.In order to analze the performance of the proposed algorithm, we present an analytical model and analyze the performance using the moedl.

• Journal of KIISE:Information Networking
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• v.33 no.4
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• pp.333-342
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• 2006

The cdma2000 lxEV - DO mobile communication system provides broadcast and multicast services (BCMCS) to meet an increasing demand from multimedia data services. The servicing of video streams over a BCMCS network must, however, face a challenge from the unreliable and error-prone nature of the radio channel. The BCMCS network uses Reed-Solomon coding integrated with the MAC protocol for error recovery. We analyze this coding technique and show that it is not effective in the case of slowly moving mobiles. To improve the playback quality of an MPEG-4 FGS video stream, we propose the Hybrid error recovery scheme, which combines Reed-Solomon with ARQ, using slots which are saved by reducing the Reed-Solomon coding overhead. The target packets to be retransmitted are prioritized by a utility function to reduce the packet error rate in the application layer within a fixed retransmission budget. This is achieved by considering of the map of the error control block at each mobile node. The proposed Hybrid error recovery scheme also uses the characteristics of MPEG-4 FGS (fine granularity scalability) to improve the video quality even when conditions are adverse: slow-moving nodes and a high error rate in the physical channel.