• Journal of the Korea Institute of Information and Communication Engineering
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• v.21 no.6
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• pp.1113-1120
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• 2017

As the size of the data is getting larger and larger due to improvement of the telecommunication techniques, it would be main issues to develop and process the database. The bloom filter used to lookup a particular element under the given set is very useful structure because of the space efficiency. In this paper, we analyse the main factor of the false positive and propose the new parallel type bloom filter in order to minimize the false positive which is caused by other hash functions. The proposed method uses the memory as large as the conventional bloom filter use, but it can improve the processing speed using parallel processing. In addition, if we use the perfect hash function, the insertion and deletion function in the proposed bloom filter would be possible.

• The KIPS Transactions:PartC
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• v.11C no.3
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• pp.301-308
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• 2004

Misuse IDS is known to have an acceptable accuracy but suffers from high rates of false alarms. We show a behavior based alarm reduction with a memory-based machine learning technique. Our extended form of IBL, (XIBL) examines SNORT alarm signals if that signal is worthy sending signals to security manager. An experiment shows that there exists an apparent difference between true alarms and false alarms with respect to XIBL behavior This gives clear evidence that although an attack in the network consists of a sequence of packets, decisions over Individual packet can be used in conjunction with misuse IDS for better performance.

• Science of Emotion and Sensibility
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• v.21 no.3
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• pp.29-48
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• 2018

Although the concept of "common sense" is often taken for granted, judging whether behavior or knowledge is common sense requires a complex series of mental processes. Additionally, different perceptions of common sense can lead to social conflicts. Thus, it is important to understand how we perceive common sense and make relevant judgments. The present study investigated the dynamics of neural representations underlying judgments of what common sense is. During functional magnetic resonance imaging, participants indicated the extent to which they thought that a given sentence corresponded to common sense under the given perspective. We incorporated two different decision contexts involving different cultural perspectives to account for social variability of the judgments, an important feature of common sense judgments apart from logical true/false judgments. Our findings demonstrated that common sense versus non-common sense perceptions involve the amygdala and a brain network for episodic memory recollection, including the hippocampus, angular gyrus, posterior cingulate cortex, and ventromedial prefrontal cortex, suggesting integrated affective, mnemonic, and social functioning in common sense processing. Furthermore, functional connectivity multivariate pattern analysis revealed that interactivity among the amygdala, angular gyrus, and parahippocampal cortex reflected representational features of common sense perception and not those of non-common sense perception. Our study demonstrated that the social memory network is exclusively involved in processing common sense and not non-common sense. These results suggest that intergroup exclusion and misunderstanding can be reduced by experiencing and encoding long-term social memories about behavioral norms and knowledge that act as common sense of the outgroup.

• The Korean Journal of Archival Studies
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• no.43
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• pp.43-70
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• 2015

The value and validity of elite oral materials have been questioned because of their gaps with 'fact'. The purpose of this article is to analyze these gaps and to propose some solutions that can reduce the gaps. According to the analysis of this article, there are three types of the gaps that qualitatively differ from each other. The first type of the gaps is produced in the process of generation of memory. This type is made because informants cognize and memorize the facts that exist outside themselves. Selective cognition, selective memory and individual experience come under this category. The second type is produced in the process of preserving the memory. Forgetting and memory transformation are main examples of this type. The third type is produced in the process of the interviews with the informants. False statements or lies fall into this category. The main conclusions are as follows. 1) all gaps in oral materials are not necessarily negative. It is because Some of these gaps- the first and the second type- are not only parts of the real world but also very useful for interpreting the world. 2) The third type of the gaps are very harmful and it is need to be eradicated or reduced. For this, this article proposes some solutions.

• Korean Journal of Child Studies
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• v.29 no.6
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• pp.177-191
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• 2008

Prior studies were limited in the comparison of false belief tasks with desire tasks due to lack of consideration of level of executive functions. To compensate for this, executive functions were included in new preference-related and game-related tasks of conflicting desire. These tasks were administered to 246 preschoolers ranging from 2.5 to 4 years of age. Statistical analysis was by one-way ANOVA and repeated measures ANOVA. Results showed significant main effects depending on age and task type. Younger children lacked ability of executive function, such as inhibition and working memory. Older preschoolers averaged better scores on task performance, showing that it is difficult for younger children to control their own desires and select the contradicted view.

• Proceedings of the Korean Information Science Society Conference
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• 2011.06a
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• pp.559-561
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• 2011

멀티코어 환경에서는 공유 데이터에 대한 동기화로 인한 병목 현상이 중요한 문제점 중의 하나이다. 그리고 동적 메모리 할당자는 대량의 메모리를 할당 및 해제하는 프로그램에서 공유 데이터에 대한 동기화 문제로 성능 저하를 유발시키고 있다. 이를 해결하기 위해 다양한 lock-free 메모리 할당 기법들이 소개되었지만 false sharing과 heap blow-up과 같은 여러 가지 문제점들을 가지고 있다. 이에 본 논문에서는 새로운 연속할당 기법을 제안하고, 이를 이용하여 동일 블록 내의 오브젝트 할당/해제에 따른 동기화 문제를 해결함으로써 효과적인 lock-free 메모리 할당 기법을 제안하였다. 그리고 제안 기법을 구현하여 기존의 메모리 할당 기법들과 실험을 통하여 검증하였으며, 대량의 메모리를 사용하는 멀티 스레드 환경에서 특히 좋은 성능을 보이는 것을 확인하였다.

• IEMEK Journal of Embedded Systems and Applications
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• v.5 no.2
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• pp.93-102
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• 2010

The FMCW(Frequency Modulation Continuous Wave) radar possesses range-velocity ambiguity to identify the correct combination of beat frequencies for each target in the multi-target situation. It can lead to ghost targets and missing targets, and it can reduce the detection probability. In this pap er, we propose an effective identification algorithm for the correct pairs of beat frequencies and the signal processing hardware architecture to effectively support the algorithm. First, using the correlation of the detected up- and down-beat frequencies and Doppler frequencies, the possible combinations are determined. Then, final pairing algorithm is completed with the power spectrum density of the correlated up- and down-beat frequencies. The proposed hardware processor has the basic architecture consisting of beat-frequency registers, pairing table memory, and decision unit. This method will be useful to improve the radar detection probability and reduce the false alarm rate.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.3
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• pp.993-1014
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• 2021

This paper proposes a new image retrieval method called the 3D integrated multi-index to fuse SIFT (Scale Invariant Feature Transform) visual words with other features at the indexing level. The advantage of the 3D integrated multi-index is that it can produce finer subdivisions in the search space. Compared with the inverted indices of medium-sized codebook, the proposed method increases time slightly in preprocessing and querying. Particularly, the SIFT, contour and colour features are fused into the integrated multi-index, and the joint cooperation of complementary features significantly reduces the impact of false positive matches, so that effective image retrieval can be achieved. Extensive experiments on five benchmark datasets show that the 3D integrated multi-index significantly improves the retrieval accuracy. While compared with other methods, it requires an acceptable memory usage and query time. Importantly, we show that the 3D integrated multi-index is well complementary to many prior techniques, which make our method compared favorably with the state-of-the-arts.

• Korean Journal of Cognitive Science
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• v.32 no.3
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• pp.117-139
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• 2021

The way of change detection in which presence of a different item is determined between memory and test arrays with a brief in-between time interval resembles how visual search is done considering that the different item is searched upon the onset of a test array being compared against the items in memory. According to the resemblance, the present study examined whether varying the probability of change occurrence in a visual short-term memory-based change detection task can influence the aspect of response-decision making (i.e., change prevalence effect). The simple-feature change detection task in the study consisted of a set of four colored boxes followed by another set of four colored boxes between which the participants determined presence or absence of a color change from one box to the other. The change prevalence was varied to 20, 50, or 80% in terms of change occurrences in total trials, and their change detection errors, detection sensitivity, and their subsequent RTs were analyzed. The analyses revealed that as the change prevalence increased, false alarms became more frequent while misses became less frequent, along with delayed correct-rejection responses. The observed change prevalence effect looks very similar to the target prevalence effect varying according to probability of target occurrence in visual search tasks, indicating that the background principles deriving these two effects may resemble each other.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.46 no.6
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• pp.153-162
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• 2009

This paper suggests the novel light-weight signal processing algorithm for wireless sensor network applications which needs low computing complexity and power consumption. Exponential average method (EA) is utilized by real time, to process the magnetometer signal which is analyzed to understand the own physical characteristic in time domain. EA provides the robustness about noise, magnetic drift by temperature and interference, furthermore, causes low memory consumption and computing complexity for embedded processor. Hence, optimal parameter of proposal algorithm is extracted by statistical analysis. Using general and precision magnetometer, detection probability over 90% is obtained which restricted by 5% false alarm rate in simulation and using own developed magnetometer H/W, detection probability over 60~70% is obtained under 1~5% false alarm rate in simulation and experiment.