• International Journal of Internet, Broadcasting and Communication
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• 제13권1호
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• pp.82-89
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• 2021

Recently, applications are increasing the importance of security for published documents. This paper deals with data-publishing where the publishers must state sensitive information that they need to protect. If a document containing such sensitive information is accidentally posted, users can use common-sense reasoning to infer unauthorized information. In recent studied of peer-to-peer databases, studies on the security of data of various unique groups are conducted. In this paper, we propose a security framework that fundamentally blocks user inference about sensitive information that may be leaked by XML constraints and prevents sensitive information from leaking from general user. The proposed framework protects sensitive information disclosed through encryption technology. Moreover, the proposed framework is query view security without any three types of XML constraints. As a result of the experiment, the proposed framework has mathematically proved a way to prevent leakage of user information through data inference more than the existing method.

• The Korean Journal of Physiology
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• 제29권2호
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• pp.301-307
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• 1995

To explore electrophysiological properties of the ${\delta}-Opioid$ receptors artificially expressed in the mammalian cell, effect of an opioid agonist DPDPE $(1\;{\mu}M)$ on the voltage-sensitive outward currents was examined in the HEK293 (human embryonic kidney) cells transfected with ${\delta}-Opioid$ receptor cDNA cloned from NG-108-15 $(neuroblastoma\;{\times}\;glioma\;hybrid)$ cDNA library. Also studied were effects of 8-bromo-cyclic AMP and naloxone on DPDPE-induced changes in the voltage sensitive outward current. The voltage sensitive outward currents were recorded using perforated patch technique at room temperature. In the non-transformed HEK293 cells, DPDPE did not alter voltage sensitive outward current, indicating that no native ${\delta}-Opioid$ receptor had been developed. However, $(1\;{\mu}M)$ DPDPE remarkably increased the voltage sensitive outward current in the transformed HEK293 cells. The increment in voltage sensitive outward current peaked in $7{\sim}10\;minutes$ after DPDPE application, and the maximum DPDPE-activated outward current $(313.1{\pm}12.3\;pA)$ was recorded when the membrane potential was depolarized to +70mv. Following pretreatment of the transformed HEK293 cells with 1 mM 8-bromo-cyclic AMP, DPDPE failed to increase the voltage sensitive outward currents. On the other hand, naloxone completely abolished DPDPE-activated voltage sensitive outward current in the transformed HEK293 cells. The results of present study suggest that in the transformed HEK293 cells an activation of the ${\delta}-Opioid$ receptors by an opioid agonist DPDPE increases the voltage-sensitive potassium current as a result of decrement in cyclic AMP level.

• 감성과학
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• 제5권3호
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• pp.61-66
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• 2002

최근 고감성 PET 사를 이용하여 생산한 PET 직물은 고감성 의류용 직물로서 많이 사용되고 있다. 이러한 고감성 의류용 PET 직물은 다양한 공정을 거치면서 장력이나 열 등의 영향을 받음으로서 사의 물성의 변화를 초래하여 감성 의류용도의 PET 직물에 많은 결점을 유발시킴으로서 직물 생산시 공정조건 설정 등의 어려움에 직면하고 있다. 이러한 고감성 의류에 치명적인 문제를 유발하는 문제점에 관한 감성사 제조시의 공정조건 변화와 관련된 연구논문은 많이 발표가 되지 못하고 있다. 따라서 본 연구에서는 국내 7개 원사 Maker의 cake내의 Denier 별 PET 사의 물성을 균일한 길이의 Layer를 설정하여 분석, 조사하고 Layer 별 물성 차이와 습·건열 열처리 온도에 따른 사의 수축률 등을 비교함으로서 감성 의류용 직물 생산에 필요한 기초 물성 Data를 제공하고 PET 사의 품질향상을 도모함으로서 최종 감성 의류용 직물 소재 개발에 기여할 수 있는 기초자료를 제공하고자 한다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제17권5호
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• pp.1433-1449
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• 2023

In recent years, the rapid development of social networks has led to a rapid increase in the amount of information available on the Internet, which contains a large amount of sensitive information related to pornography, politics, and terrorism. In the aspect of sensitive image detection, the existing machine learning algorithms are confronted with problems such as large model size, long training time, and slow detection speed when auditing and supervising. In order to detect sensitive images more accurately and quickly, this paper proposes a multiclassification sensitive image detection method based on lightweight Convolutional Neural Network. On the basis of the EfficientNet model, this method combines the Ghost Module idea of the GhostNet model and adds the SE channel attention mechanism in the Ghost Module for feature extraction training. The experimental results on the sensitive image data set constructed in this paper show that the accuracy of the proposed method in sensitive information detection is 94.46% higher than that of the similar methods. Then, the model is pruned through an ablation experiment, and the activation function is replaced by Hard-Swish, which reduces the parameters of the original model by 54.67%. Under the condition of ensuring accuracy, the detection time of a single image is reduced from 8.88ms to 6.37ms. The results of the experiment demonstrate that the method put forward has successfully enhanced the precision of identifying multi-class sensitive images, significantly decreased the number of parameters in the model, and achieved higher accuracy than comparable algorithms while using a more lightweight model design.

• 한국콘텐츠학회:학술대회논문집
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• 한국콘텐츠학회 2004년도 추계 종합학술대회 논문집
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• pp.448-452
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• 2004

부분키를 사용한 캐쉬 인식 $B^+$ 트리는 키 압축과 포인터 압축 방법을 동시에 적용한 캐쉬 인식 트리이다. 기존의 캐쉬 인식 트리들은 키 압축과 포인터 압축을 따로 고려하였다. 이에 반해 부분키를 사용한 캐쉬 인식 $B^+$ 트리는 키와 포인터를 동시에 압축하여 캐쉬 활용도를 높였다. 본 논문은 기 발표된 부분키를 사용한 캐쉬 인식 $B^+$ 트리의 벌크로드와 검색 알고리즘을 구현하여 성능 평가를 수행하였다. 그리고 $B^+$-트리와 Simple Prefix $B^+$-트리의 성능비교를 통하여 부분키 캐쉬 인식 $B^+$ 트리의 성능의 우수함을 확인 하였다.

• Macromolecular Research
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• 제13권6호
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• pp.467-476
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• 2005

The main objective of this study was to develop and characterize pH-sensitive biodegradable polymeric materials. For pH-sensitivity, we employed three kinds of moieties: 2-amino-3-(lH-imidazol-4-yl)-propionic acid (H), N-[4-( 4,6-dimethyl-pyrimidin-2ylsulfamoyl)-phenyl]succinamic acid (SM), and 2- {3-[ 4-( 4,6-dimethyl-pyrim­idin- 2-ylsulfamoyl)-phenylcarbamoyl]-propionylamino} -3-(3 H - imidazol-4-yl)-propionic acid (SH). The pH -sensitive diblock copolymers were synthesized by ring opening polymerization and coupling reaction from poly(ethylene glycol) (MPEG), $\varepsilon$-caprolactone (CL), D,L-lactide (LA) and pH-sensitive moieties. The pH-sensitive SH molecule was synthesized in a two-step reaction. The first step involved the synthesis of SHM, a methyl ester derivative of SH, by coupling reaction of SM and L-histidine methyl ester dihydrochloride, whereas the second step involved the hydrolysis of the same. The synthesized SM, SHM and SH molecules were characterized by FTIR, $^{1}H$-NMR and $^{13}C$-NMR spectroscopy, whereas diblock copolymers and pH-sensitive diblock copolymer were characterized by $^{1}H$-NMR and GPC analysis. The critical micelle concentrations were determined at various pH conditions by fluorescence technique using pyrene as a probe. The micellization and demicellization studies of pH-sensitive diblock copolymers were also done at different pH conditions. The pH-sensitivity was further established by acid-based titration and DLS analysis.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제15권2호
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• pp.540-557
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• 2021

Privacy vulnerability of social networks is one of the major concerns for social science research and business analysis. Most existing studies which mainly focus on un-weighted network graph, have designed various privacy models similar to k-anonymity to prevent data disclosure of vertex attributes or relationships, but they may be suffered from serious problems of huge information loss and significant modification of key properties of the network structure. Furthermore, there still lacks further considerations of privacy protection for important sensitive edges in weighted social networks. To address this problem, this paper proposes a privacy preserving method to protect sensitive weighted edges. Firstly, the sensitive edges are differentiated from weighted edges according to the edge betweenness centrality, which evaluates the importance of entities in social network. Then, the perturbation operations are used to preserve the privacy of weighted social network by adding some pseudo-edges or modifying specific edge weights, so that the bottleneck problem of information flow can be well resolved in key area of the social network. Experimental results show that the proposed method can not only effectively preserve the sensitive edges with lower computation cost, but also maintain the stability of the network structures. Further, the capability of defending against malicious attacks to important sensitive edges has been greatly improved.

• 한국생물물리학회:학술대회논문집
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• 한국생물물리학회 1998년도 학술발표회
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• pp.29-29
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• 1998

Previously, we reported two types of vanadate-sensitive ATPases in the micro somes of tracheal epithelial cells, a high-affinity one and a low-affinity one. The low affinity vanadate-sensitive (LAVS) ATPase was sensitive to thapsigargin and cyclopiazonic acid, specific antagonists of ER-type Ca$\^$2＋/-ATPase, and mediated microsomal $\^$45/Ca$\^$2+/ uptake, implying that the LAVS-ATPase is an ER/SR-type Ca$\^$2+/-ATPase.(omitted)

• 한국광학회:학술대회논문집
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• 한국광학회 2003년도 제14회 정기총회 및 03년 동계학술발표회
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• pp.128-129
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• 2003

최근 수년간 polarimetry, Raman spectroscopy, near infrared (NIR) absorption spectroscopy, NIR scattering, optoacoustics 등의 방법을 통하여 비침습적으로 Glucose의 농도를 측정하려는 연구가 많이 시도되었다. 일반적으로 이들 방법은 sensitivity 와 signal-to-noise ratio가 매우 낮고 복잡한 알고리즘이 요구되어져 glucose 농도 측정에 한계가 있음이 드러났다. 본 연구에서는 polarization sensitive optical coherence tomography (PS-OCT)에 사용되는 polarization sensitive low coherence inter-ferometer (PS-LCI) 기법을 이용하여 비침습적으로 glucose의 농도 측정을 가능하게 하는 시스템 개발에 중점을 두었다. (중략)

• 한국생물물리학회:학술대회논문집
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• 한국생물물리학회 1999년도 학술발표회 진행표 및 논문초록
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• pp.48-48
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• 1999

Two types of vanadate-sensitive $Ca^{2＋}$-ATPases have been characterized in the microsomes of tracheal epithelial cells, a high affinity vanadate-sensitive (HA VS) and a low affinity vanadate-sensitive (LAVS) $Ca^{2＋}$-ATPases. The LA VS $Ca^{2＋}$-ATPase was sensitive to thapsigargin, implying that it is an ER/SR-type $Ca^{2+}$-ATPase.(omitted)d)