• 제목/요약/키워드: Central processing system

검색결과 324건 처리시간 0.025초

The effects of regular exercise on capsaicin-induced pulpal pain and pain-induced changes in passive avoidance learning and memory in rats

  • Raoof, Maryam;Shakoori, Afshin;Kooshki, Razieh;Abbasnejad, Mehdi;Amanpour, Sara
    • The Korean Journal of Pain
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    • 제30권4호
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    • pp.258-264
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    • 2017
  • Background: Pulpal pain is one of the most common and severe orofacial pain conditions with considerable adverse effects on physiological processes including learning and memory. Regular exercise is known to be effective on cognitive function as well as pain processing in the central nervous system. Here, the possible effects of regular exercise on pulpal pain response as well as pain-induced changes in learning and memory efficiency in rats were investigated. Methods: Twenty-four male Wistar rats were randomly assigned to the control, capsaicin, exercise, and exercise plus capsaicin groups. Rats in exercise groups were forced to run on a treadmill with a moderate exercise protocol for 4 weeks. Capsaicin was used to induce dental pulp pain. Passive avoidance learning and memory performance was assessed by using a shuttle box apparatus. Results: According to the results, regular exercise could decrease the time course of capsaicin-induced pulpal pain (P < 0.001). Moreover, in capsaicin-treated rats, passive avoidance acquisition was impaired as compared to the control (P < 0.05) and exercise (P < 0.001) groups. Additionally, regular exercise before capsaicin injection could attenuate capsaicin-induced memory impairments (P < 0.05). Conclusions: Taken together, the present data showed that regular exercise has inhibitory effects on capsaicin-induced pulpal pain as well as pain-induced cognitive dysfunction in rats.

균형상살 검출 알고리즘에서 검출과 관련된 설계변수의 민감도 해석 몇 최적화 (Sensitivity Analysis and Optimization of Design Variables Related to an Algorithm for Loss of Balance Detection)

  • 고병규;김광훈;손권
    • 대한의용생체공학회:의공학회지
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    • 제32권1호
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    • pp.7-14
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    • 2011
  • This study suggested an optimized algorithm for detecting the loss of balance(LOB) in the seated position. And the sensitivity analysis was performed in order to identify the role of each design variable in the algorithm. The LOB algorithm consisted of data processing of measured signals, an internal model of the central nervous system and a control error anomaly(CEA) detector. This study optimized design variables of a CEA detector to obtain improved values of the success rate(SR) of detecting the LOB and the margin time(MT) provided for preventing the falling. Nine healthy adult volunteers were involved in the experiments. All the subjects were asked to balance their body in a predescribed seated posture with the rear legs of a four-legged wooden chair. The ground reaction force from the right leg was measured from the force plate while the accelerations of the chair and the head were measured from a couple of piezoelectric accelerometers. The measured data were processed to predict the LOB using a detection algorithm. Variables S2, h2 and hd are related to the detector: S2 represents a data selecting window, h2 a time shift and hd an operating period of the LOB detection algorithm. S2 was varied from 0.1 to 10 sec with an increment of 0.1 sec, and both h2 and hd were varied from 0.01 to 1.0 sec with an increment of 0.01 sec. It was found that the SR and MT were increased by up to 9.7% and 0.497 sec comparing with the previously published case when the values of S2, h2 and hd were set to 4.5, 0.3 and 0.2 sec, respectively. Also the results of sensitivity analysis showed that S2 and h2 had considerable influence on the SR while these variables were not so sensitive to the MT.

순수 P2P 환경을 위한 이동 에이전트 기반 자원 검색 기법 (Mobile Agent Based Discovery Mechanism for Pure P2P Environments)

  • 김인숙;김문정;김문현;김응모;엄영익
    • 정보처리학회논문지D
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    • 제10D권2호
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    • pp.327-336
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    • 2003
  • 최근 인터넷의 급속한 성장과 초고속 통신망의 구축으로 인하여 다양한 멀티미디어 서비스들이 제공되고 있다. 그러나 현재 대부분의 멀티미디어 서비스들은 클라이언트/서버 모델을 기반으로 구축되어 있기 때문에, 중앙 서버로의 과도한 부하가 집중되어 전체적인 네트워크 속도 저하를 발생시키는 문제점을 가지고 있다. 본 논문에서는 이러한 문제점을 해결하기 위해 순수 P2P 환경으로 구축된 멀티미디어 서비스 환경에서의 자원 검색 기법을 제안한다. 제안 기법은 자율성과 이동성을 지닌 이동 에이전트를 기반으로 자원의 검색을 수행하여, 기존의 순수 P2P 환경에서의 검색 기법에서 네트워크의 불안정시 검색 결과가 유실되는 문제점을 해결한다. 제안 기법은 이동 에이전트를 사용하기 때문에 이 기종의 시스템간 서비스를 제공할 수 있는 장점을 가지고 있고, 동일 자원과 최근 요청 자원에 대한 위치 정보를 유지하므로 기존 순수 P2P 환경에서의 검색 속도보다 빠른 응답 속도를 가지는 장점을 가진다.

NEIS를 위한 PMI 기반의 RBAC 인증과 DB 보안 구현 (Implementation of RBAC Certification & DB Security Based on PMI for NEIS)

  • 유규두;문봉근;전문석
    • 정보처리학회논문지C
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    • 제11C권7호
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    • pp.981-992
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    • 2004
  • 기존의 교육행정정보시스템(NEIS)은 보안 관리에 많으 문제점이 있다. 사용자 인증에서 PKI 인증만을 사용하여 권한에 따른 접근제어를 실현하지 못하고 있으며, 중앙 집중식 DRMS 운용과 평문화된 데이터의 사용으로 NEIS의 해킹 가능성을 증가시키고 있다. 따라서 데이터의 안전한 관리와 권한 인증을 위하여 새로운 교육행정정보시스템(RNEIS)을 제안한다. 첫 번째, 권한기반관리구조(PMI)의 속성인증서(AC)에 의한 접근 권한과 역할에 따른 사용자 인증 및 접근제어(RBAC)를 제시한다. 두 번째, DB의 해킹 방지를 위하여 전자서명에 의한 DB암호화를 설계 구현하였다. 세 번째, 일방향 해쉬함수에 의한 SQL 쿼리 위변조 방지 미 안전한 데이터 전송 방식을 제시한다.

하복부 수술에서 경막외 Bupivacaine과 Fentanyl에 의한 선행진통법이 술후 통증관리에 미치는 효과 (Effects of Preemptive Analgesia by Epidural Bupivacaine and Fentanyl on Postoperative Pain Control in Lower Abdominal Surgery)

  • 이준학;김인령;윤채식;정은배;이기남;문준일
    • The Korean Journal of Pain
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    • 제10권2호
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    • pp.185-190
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    • 1997
  • Background: Preemptive analgesia is an antinociceptive treatment that prevents the establishment of altered central processing which amplifies postoperative pain. A controversy exists over the effectiveness and clinical value of preemptive analgesia. We studied whether epidural bupivacaine and fentanyl prior to surgery could possibly affect postoperative pain and analgesic demands, as compared to administration of same at end of surgery. Methods: Forty patients scheduled for lower abdominal surgery were randomly assigned to one of two groups and prospectively studied in a double-blind method. Group 1(n=20) received epidural injection of 15 ml bupivacaine 0.25% with fentanyl 100 y g before surgery while group 2(n=20) received the same injection at the end of their surgery respectively. Postoperative analgesia consisted of basal plus patient-controlled mode of epidural bupivacaine and fentanyl from PCA system. Postoperative visual analog pain scores(VAPS), analgesics consumption, supplementary analgesics requirement and side effects were assessed for 3 postoperative days. Results: There were no significant difference in analgesics requirement and pain scores, at any time, during rest or after movement, in measurement between the groups. Conclusions: We conclude no clinical value of effectiveness in administering epidural bupivacaine-fentanyl before surgery as compared to administration after surgery.

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Fast k-NN based Malware Analysis in a Massive Malware Environment

  • Hwang, Jun-ho;Kwak, Jin;Lee, Tae-jin
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제13권12호
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    • pp.6145-6158
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    • 2019
  • It is a challenge for the current security industry to respond to a large number of malicious codes distributed indiscriminately as well as intelligent APT attacks. As a result, studies using machine learning algorithms are being conducted as proactive prevention rather than post processing. The k-NN algorithm is widely used because it is intuitive and suitable for handling malicious code as unstructured data. In addition, in the malicious code analysis domain, the k-NN algorithm is easy to classify malicious codes based on previously analyzed malicious codes. For example, it is possible to classify malicious code families or analyze malicious code variants through similarity analysis with existing malicious codes. However, the main disadvantage of the k-NN algorithm is that the search time increases as the learning data increases. We propose a fast k-NN algorithm which improves the computation speed problem while taking the value of the k-NN algorithm. In the test environment, the k-NN algorithm was able to perform with only the comparison of the average of similarity of 19.71 times for 6.25 million malicious codes. Considering the way the algorithm works, Fast k-NN algorithm can also be used to search all data that can be vectorized as well as malware and SSDEEP. In the future, it is expected that if the k-NN approach is needed, and the central node can be effectively selected for clustering of large amount of data in various environments, it will be possible to design a sophisticated machine learning based system.

분산 인-메모리 환경에서 부하 분산을 위한 데이터 복제와 이주 기법 (Data Replication and Migration Scheme for Load Balancing in Distributed Memory Environments)

  • 최기태;윤상원;박재열;임종태;복경수;유재수
    • 정보과학회 컴퓨팅의 실제 논문지
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    • 제22권1호
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    • pp.44-49
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    • 2016
  • 최근 소셜 미디어의 성장과 디지털 기기의 활용이 증가함에 따라 데이터가 기하급수적으로 급증하고 있다. 이러한 대용량의 데이터를 효율적으로 처리하기 위해 분산 메모리 처리 시스템을 사용한다. 하지만 분산 환경에서 특정 노드에 부하가 집중이 되면 노드의 성능이 저하되는 문제가 발생한다. 본 논문은 분산 메모리 환경에서 노드의 부하를 적절하게 분배하는 부하 분산 기법을 제안한다. 제안하는 기법은 노드의 부하를 관리하기 위해 핫 데이터를 여러 노드에 복제하고 노드가 추가되거나 삭제될 때 노드의 부하를 고려하여 데이터를 이주시킨다. 클라이언트는 핫 데이터의 메타데이터 정보를 유지하여 직접 노드에 접근함으로써 중앙 서버의 접근을 감소시킨다. 성능 평가를 통해 제안하는 부하 분산 관리 기법이 기존에 캐시 관리 기법에 비해 우수함을 입증한다.

Effects of Somatostatin on the Responses of Rostrally Projecting Spinal Dorsal Horn Neurons to Noxious Stimuli in Cats

  • Jung, Sung-Jun;Jo, Su-Hyun;Lee, Sang-Hyuck;Oh, Eun-Hui;Kim, Min-Seok;Nam, Woo-Dong;Oh, Seog-Bae
    • The Korean Journal of Physiology and Pharmacology
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    • 제12권5호
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    • pp.253-258
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    • 2008
  • Somatostatin (SOM) is a widely distributed peptide in the central nervous system and exerts a variety of hormonal and neural actions. Although SOM is assumed to play an important role in spinal nociceptive processing, its exact function remains unclear. In fact, earlier pharmacological studies have provided results that support either a facilitatory or inhibitory role for SOM in nociception. In the current study, the effects of SOM were investigated using anesthetized cats. Specifically, the responses of rostrally projecting spinal dorsal horn neurons (RPSDH neurons) to different kinds of noxious stimuli (i.e., heat, mechanical and cold stimuli) and to the $A{\delta}$ -and C-fiber activation of the sciatic nerve were studied. Iontophoretically applied SOM suppressed the responses of RPSDH neurons to noxious heat and mechanical stimuli as well as to C-fiber activation. Conversely, it enhanced these responses to noxious cold stimulus and $A{\delta}$-fiber activation. In addition, SOM suppressed glutamate-evoked activities of RPSDH neurons. The effects of SOM were blocked by the SOM receptor antagonist cyclo-SOM. These findings suggest that SOM has a dual effect on the activities of RPSDH neurons; that is, facilitation and inhibition, depending on the modality of pain signaled through them and its action site.

Ultra low-power active wireless sensor for structural health monitoring

  • Zhou, Dao;Ha, Dong Sam;Inman, Daniel J.
    • Smart Structures and Systems
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    • 제6권5_6호
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    • pp.675-687
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    • 2010
  • Structural Health Monitoring (SHM) is the science and technology of monitoring and assessing the condition of aerospace, civil and mechanical infrastructures using a sensing system integrated into the structure. Impedance-based SHM measures impedance of a structure using a PZT (Lead Zirconate Titanate) patch. This paper presents a low-power wireless autonomous and active SHM node called Autonomous SHM Sensor 2 (ASN-2), which is based on the impedance method. In this study, we incorporated three methods to save power. First, entire data processing is performed on-board, which minimizes radio transmission time. Considering that the radio of a wireless sensor node consumes the highest power among all modules, reduction of the transmission time saves substantial power. Second, a rectangular pulse train is used to excite a PZT patch instead of a sinusoidal wave. This eliminates a digital-to-analog converter and reduces the memory space. Third, ASN-2 senses the phase of the response signal instead of the magnitude. Sensing the phase of the signal eliminates an analog-to-digital converter and Fast Fourier Transform operation, which not only saves power, but also enables us to use a low-end low-power processor. Our SHM sensor node ASN-2 is implemented using a TI MSP430 microcontroller evaluation board. A cluster of ASN-2 nodes forms a wireless network. Each node wakes up at a predetermined interval, such as once in four hours, performs an SHM operation, reports the result to the central node wirelessly, and returns to sleep. The power consumption of our ASN-2 is 0.15 mW during the inactive mode and 18 mW during the active mode. Each SHM operation takes about 13 seconds to consume 236 mJ. When our ASN-2 operates once in every four hours, it is estimated to run for about 2.5 years with two AAA-size batteries ignoring the internal battery leakage.

Blockchain Technology and the Creation of Trust : Focusing on Transparency, Immutability and Availability

  • Kim, Kee-Joo;Lee, Myung-Suk
    • 한국컴퓨터정보학회논문지
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    • 제27권3호
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    • pp.79-90
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    • 2022
  • '신뢰'란 사람이나 사물에 대해 '믿고 의지하는 것'이면서, 동시에 특정 공동체나 사회의 기반이자 존속의 필수 조건이다. 블록체인 기술이 어떻게 신뢰를 만드는지는, 관련 정보를 참여자 모두가 공유하는 기술이라는 점에서 그 답을 찾을 수 있다. 공유의 기술인 블록체인은 그 기술 자체로 투명성, 불변성, 가용성이라는 세 가지 특징을 가진다. 공유하기 때문에 투명하고, 공유하기 때문에 불변, 곧 수정하거나 삭제하기 어려우며, 공유하기 때문에 일부 장애가 발생해도 전체 시스템은 정상 운영된다. 이 블록체인 기술을 기반으로 만들어지는 신뢰가 가진 의의는 다음과 같이 세 가지 측면에서 정리할 수 있다. 첫째는 신뢰의 문제를 기술과 연결해 이해하는 것, 둘째는 정보와 신뢰의 관계를 이해하고 본격적으로 주목하기 시작한다는 것, 셋째는 확대된 정보처리 능력을 토대로 중앙의 매개 없이 대규모의 구체적인 상호관계를 맺을 수 있게 되었다는 점이다.