• Sleep Medicine and Psychophysiology
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• v.11 no.1
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• pp.44-49
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• 2004

Objectives: The purpose of this study was to investigate whether longitudinal changes in positive and negative symptoms affect cognitive functioning in chronic schizophrenia. Methods: Sixty-eight patients diagnosed with DSM-IV schizophrenia were examined on two occasions over 6 months for symptoms and cognitive changes. Symptoms were measured by PANSS. Cognitive functions were examined for sustained attention, executive function, concentration and attention, and verbal memory and learning using Degraded Stimulus Continuous Performance Test, Wisconsin Card Sorting Test, Digit Span, and Rey Auditory Verbal Learning Test, respectively. Twenty control subjects were assessed to compare the cognitive scores of remitted schizophrenic patients. Results: Patients showed significant improvement in symptoms and all cognitive tests after 6 months treatments. Significant improvements in positive and negative symptoms did not predict improvements in any aspect of cognitive functioning measured. Normal controls performed significantly better than remitted schizophrenic patients on all cognitive tests. The results show no relationship between change in symptoms and change in cognition in chronic schizophrenia. Conclusion: We suggest that symptomatic and cognitive impairment may be a distinct construct. These findings highlight the importance of treating cognitive impairment in addition to the clinical symptoms of schizophrenia.

• Journal of KIISE:Computer Systems and Theory
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• v.29 no.11
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• pp.622-633
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• 2002

Authentication and Key Agreement using password provide convenience and amenity, but what human can remember has extremely low entropy. To overcome its defects, AMP(Authentiration and key agreement via Memorable Password) which performs authentication and key agreement securely via low entropy password are presented. AMP uses Diffie-Hellman problem that depends on discrete logarithm problem. Otherwise, this thesis applies elliptic curve cryptosystem to AMP for further efficiency That is, this thesis presents EC-AMP(Elliptic Curve-AMP) protocol based on elliptic curve discrete logarithm problem instead of discrete logarithm problem, and shows its high performance through the implementation. EC-AMP secures against various attacks in the random oracle model just as AMP Thus, we nay supply EC-AMP to the network environment that requires authentication and key agreement to get both convenience and security from elliptic curve discrete logarithm problem.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.17 no.6
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• pp.558-571
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• 1992

In this paper, we propose an improved method of state exploration called the extended circular exploration (ECE) for the efficiency of state exploration and the reduction of explosively growing state. The ECE does not need to explore all the reachable global states, and It can be applied to JV($\boxDr$$\geq$ 2) -party protocol with alternative routes, i.e., it is applicable to the protocol In which adaptiverouting mechanism can be performed. The ECE eliminates a restriction of topology of the conventional circular exploration(CE) by exploring only those global states which are reachable, provided that the participant processes of any group of transitions proceed at the same speed, and that they can be formed as a cycle. Thus the state space explored if not exhaustive. The algorithm presented can detect deadlock error and unspecified reception error It requires storage space and /or execution time much less than those of the conventional perturbation(CP) . It might be used for a solution of the N-process collision and the interference mechanism.

• Sleep Medicine and Psychophysiology
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• v.1 no.1
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• pp.76-86
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• 1994

Objectives: This research was performed in order to observe the neuropsychological implication and functional anatomical source of event related potentials(ERP) by studying of correlations between event related potentials and neuropsychological tests. Methods: The latency and voltage of P100 of visual evoked potential (VEP), and N120 and P300 of event related potentials were studied in 56 patients and their correlations with neuropsychological tests were computed. Results: The tests showing significant correlation with latency P100 were visual continous performance test(VCPT) and contingent continous performance test(CCPT) without any significant correlation with voltage of P100. In latency of N120 category test and verbal IQ of KWIS showed significant correlation, and in voltage of N120, finger tapping test, VCPT, CCPT and digit symbol test displayed significant correlations. The latency of P300 had significant correlation with trail making A test and Stroop test. In the voltage of P300 significant correlations were shown with trail making B test, digit symbol test and Wechsler memory scale, finger tapping test, stroop test, VCPT and CCPT. Conclusion : N120 may be considered to reflect the function of medial frontal lobe and P300 may be considered to be developed from the subcortical connection of medial temporal lobe, hippocampus, thalamus, basal ganglia and medial frontal lobe.

• The Journal of Korean Association of Computer Education
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• v.16 no.4
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• pp.55-62
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• 2013

Most of the APP market today, it is biased in the field of games and entertainment. In contrast, market-share of the educational APP is very low. This phenomenon is due to two major problems. The first is a decrease in the reuse because of the test of simple pattern. The second is difficult to consider user-level range that was learned previously. In this case it is necessary for students to do additional effort. This paper, propose an educational intelligent educational APP to solve the problems described above and shows implementation results. This system analyzes the stored results that have been saved to determine the area of vulnerability. Time-based Re-validation module helps long-term memory of student. The proposed system in this way directly supports self-directed learning. Therefore, the students can be able to relearn weak area autonomously. It results in improved academic achievement.

• Proceedings of the Korea Water Resources Association Conference
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• 2018.05a
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• pp.135-135
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• 2018

한강의 잠수교는 평상시에는 사람과 차의 통행이 가능하나 예측수위가 5.5m일 경우, 보행자통제, 6.2m일 경우, 차량통제를 실시한다. 잠수교는 국토교통부의 홍수예보 지점은 아니지만 그 특수성으로 인해 정확한 홍수위 예측을 통해 선행시간을 확보할 필요가 있다. 일반적으로 하천 홍수위 예측을 위해서는 강우-유출 모형과 하도추적을 위한 수리모형을 결합한 모델링이 요구되나 잠수교는 하류부 조위로 인한 배수 및 상류부 팔당댐 방류량의 영향을 받아 물리적 수리 수문모형의 구축이 상당히 제약적이다. 이에 본 연구에서는 딥러닝 오픈 라이브러리인 Tensorflow 기반의 LSTM 심층신경망(Deep Neural Network) 모형을 구축하여 잠수교의 수위예측을 수행한다. LSTM 모형의 학습과 검증을 위해 2011년부터 2017년까지의 10분단위의 잠수교 수위자료, 팔당댐의 방류량과 월곶관측소의 조위자료를 수집한 후, 2011년부터 2016년까지의 자료는 신경망 학습, 2017년 자료를 이용하여 학습된 모형을 검증하였다. 민감도 분석을 통해 LSTM 모형의 최적 매개변수를 추정하고, 이를 기반으로 선행시간(lead time) 1시간, 3시간, 6시간, 9시간, 12시간, 24시간에 대한 잠수교 수위를 예측하였다. LSTM을 이용한 1~6시간 선행시간에 대한 수위예측의 경우, 모형평가 지수 NSE(Nash-Sutcliffe Efficiency)가 1시간(0.99), 3시간(0.97), 6시간(0.93)과 같이 정확도가 매우 우수한 것으로 분석되었으며, 9시간, 12시간, 24시간의 경우, 각각 0.85, 0.82, 0.74로 선행시간이 길어질수록 심층신경망의 예측능력이 저하되는 것으로 나타났다. 하천수위 또는 유량과 같은 수문시계열 분석이 목적일 경우, 종속변수에 영향을 미칠 수 있는 가용한 모든 독립변수를 데이터화하여 선행 정보를 장기적으로 기억하고, 이를 예측에 반영하는 LSTM 심층신경망 모형은 수리 수문모형 구축이 제약적인 경우, 홍수예보를 위한 활용이 가능할 것으로 판단된다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.7
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• pp.955-961
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• 2021

In modern warfare, the importance of electronic warfare, which carries out a mission that using radio wave to find out enemy information or to protect ally information, has increased. Radar jamming technique is one of the most representative techniques of EA(Electronic Attack), it disturbs and deceives enemy radar system in order to secure ally location information. Velocity deception jamming technique, which is one of the radar jamming techniques, generally operate against pulse-doppler radar which use doppler effect in order to track target's velocity and location. Velocity Deception Jamming Technique can be implemented using DRFM(Digital Radio Frequency Memory) that performs Frequency Modulation. In this paper, I describe implementation method of VGPO/VGPI(Velocity Gate Pull-Off/Pull-In) velocity deception jamming technique using phase-sampled DRFM, and verify the operation of VGPO/VGPI velocity deception jamming technique with board test under signal injection condition.

• Journal of the Institute of Electronics Engineers of Korea SD
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• v.45 no.12
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• pp.1-7
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• 2008

Magnetic Tunneling Junction (MTJ) has been used as a nonvolatile universal storage element mainly in memory technology. However, according to several recent studies, magneto-logic using MTJ elements show much potential in substitution for the transistor-based logic device. Magneto-logic based on MTJ can maintain the data during the power-off mode, since an MTJ element can store the result data in itself. Moreover, just by changing input signals, the full logic functions can be realized. Because of its programmability, it can embody the reconfigurable magneto-logic circuit in the rigid physical architecture. In this paper, we propose a novel 3-bit arbitrary magneto-logic circuit beyond the simple combinational logic or the short sequential one. We design the 3-bit magneto-logic which has the most complexity using MTJ elements and verify its functionality. The simulation results are presented with the HSPICE macro-model of MTJ that we have developed in our previous work. This novel magneto-logic based on MTJ can realize the most complex logic function. What is more, 3-bit arbitrary logic operations can be implemented by changing gate signals of the current drivel circuit.

• KIPS Transactions on Software and Data Engineering
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• v.12 no.4
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• pp.149-158
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• 2023

As data utilization is becoming more important recently, the importance of data centers is also increasing. However, the data center is a problem in terms of environment and economy because it is a massive power-consuming facility that runs 24 hours a day. Recently, studies using deep learning techniques to reduce power used in data centers or servers or predict traffic have been conducted from various perspectives. However, the amount of traffic data processed by the server is anomalous, which makes it difficult to manage the server. In addition, many studies on dynamic server management techniques are still required. Therefore, in this paper, we propose a dynamic server management technique based on Long-Term Short Memory (LSTM), which is robust to time series data prediction. The proposed model allows servers to be managed more reliably and efficiently in the field environment than before, and reduces power used by servers more effectively. For verification of the proposed model, we collect transmission and reception traffic data from six of Wikipedia's data centers, and then analyze and experiment with statistical-based analysis on the relationship of each traffic data. Experimental results show that the proposed model is helpful for reliably and efficiently running servers.

• Journal of Korean Society of Archives and Records Management
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• v.4 no.1
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• pp.1-21
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• 2004

Records may furnish proof of a particular action, contain information that protects the rights of individuals or government, and document decisions made during the course of government business. As business in and between government agencies will increasingly be conducted through electronic messaging service, the need to manage e-mail messages and systems is the same as for other record management systems concerning the creation of, retention of, and access to public records. Therefore government agencies that use electronic mail(e-mail) have an obligation to make employee aware that e-mail messages, like paper records, must be managed according to established record management procedures. The purpose of this paper is to suggest guidelines and/or strategies on managing e-mail messages as records for agencies which must take steps in order to make, capture, maintain, dispose, store, protect, and provide access to e-mail messages. This paper discusses on the definition of e-mail messages, principles on managing e-mail message, and how to manage e-mail messages as records.