• KSII Transactions on Internet and Information Systems (TIIS)
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• 제9권8호
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• pp.2964-2983
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• 2015

As the Android operating system has become a key target for malware authors, Android protection has become a thriving research area. Beside the proved importance of system permissions for malware analysis, there is a lot of overlapping in permissions between malware apps and goodware apps. The exploitation of them effectively in malware detection is still an open issue. In this paper, to investigate the feasibility of neuro-fuzzy techniques to Android protection based on system permissions, we introduce a self-adaptive neuro-fuzzy inference system to classify the Android apps into malware and goodware. According to the framework introduced, the most significant permissions that characterize optimally malware apps are identified using Information Gain Ratio method and encapsulated into patterns of features. The patterns of features data is used to train and test the system using stratified cross-validation methodologies. The experiments conducted conclude that the proposed classifier can be effective in Android protection. The results also underline that the neuro-fuzzy techniques are feasible to employ in the field.

• 한국원자력학회:학술대회논문집
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• 한국원자력학회 1999년도 춘계학술발표회요약집
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• pp.74-74
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• 1999

• 의료법학
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• 제21권3호
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• pp.145-178
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• 2020

뇌신경과학 기술의 발전으로 인하여 자신의 뇌신경적 상태와 데이터에 관한 자율적 선택과 개입의 가능성이 늘어남에 따라, 본인의 의사에 반하여 혹은 본인에게 불리하게 이용될 위험성도 커지게 될 수 있으므로, 이러한 부당한 간섭이나 방해로부터 개인의 자유와 권리를 보호해야 한다는 주장들이 계속해서 제기되고 있다. 대표적인 예로 2020년 10월 칠레 의회에 제출된 '뇌신경권 및 정신적 완전성의 보호 등에 관한 법안'은 뇌신경 데이터를 뇌로부터 직·간접적으로 수집된 모든 데이터로 정의하고, 정신적 프라이버시와 완전성을 개인의 뇌신경권(Neuroderechos)으로 보호할 것을 명시하였다. 뇌신경과학은 점점 개인의 신체와 일상에 가까이 스며드는 기술로 진화하여 더욱 일상화, 개인화되는 동시에 모듈의 형태로도 변모할 잠재력을 충분히 지니고 있고 빅데이터와 인공지능 기술의 발전은 이러한 변화를 더욱 가속화·고도화하는 요인이 된다. 이는 곧 다양한 종류의 기기로 뇌신경적 상태를 디지털 데이터화하고 분석하여 활용할 수 있게 된다는 것을 의미한다. 그리고 이로 인해 개인의 의도, 선호, 성격, 기억, 감정 상태 등을 확인하고 추론해낼 수 있는 데이터를 더 많이 생성할 수 있는 환경으로 변화하고 있다는 점은 개인의 자유와 권리에 관한 논의의 필요성을 더욱 부각시키고 있다. 그런데 뇌신경 데이터는 개인정보 보호 법제하에서 민감정보로 볼 것인지 여부가 불분명한 영역이 있다. 또 구체적인 활용 영역 예컨대, 법정, 교육, 고용 등에서 어떻게 뇌신경 데이터 주체를 보호할 것인지에 대한 법적 고찰이 요청된다. 이 논문에서는 기존의 인지적 자유, 정신적 프라이버시, 뇌신경 프라이버시, 정신적 완전성 등 다양한 개념으로 제시되고 있는 논의를 포괄적인 인격권의 성격을 갖는 '뇌신경권'이라는 개념으로 포섭하고자 한다.

• 한국해양생명과학회지
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• 제9권1호
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• pp.9-21
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• 2024

마비성 패류 독소(Paralytic shellfish poisoning, PSP)는 유해 조류에 의해 생성되며, 독소에 노출된 수산물을 섭취하였을 때 중독이 발생한다. 수산물 중 PSP를 검출하는 표준 시험법인 Mouse bioassay (MBA)는 낮은 검출한계와 동물 윤리 문제로 대체 시험법의 개발 필요성이 대두되고 있다. 이러한 대체 시험법 중, PSP가 신경 세포막의 Na⁺ 채널을 차단하는 기전을 이용한 마우스 뇌신경 모세포종 세포 기반 시험법(Neuro-2a assay)의 표준화를 위한 노력이 대두되고 있다. Neuro-2a assay의 원리는 Neuro-2a 세포주에 Na⁺/K⁺ ATPase 억제제인 Ouabain(O)과 Na⁺ 채널 활성화제인 Veratridine (V)을 처리하여 과도한 Na⁺ 유입으로 인한 세포사멸을 유도한 상태에서, Na⁺ 채널 억제제인 PSP를 처리하게 되면 Na⁺ 유입이 차단되어 세포가 생존하는 것을 측정하는 것이다. 본 연구에서는 PSP 검출을 위한 Neuro-2a assay를 국내 연구 환경에 맞게 다양한 매개변수를 개선하여 최적 시험법을 확립하고자 하였다. 고려한 매개변수들은 세포밀도, 배양 조건 및 PSP 처리 조건 등으로, 그 결과는 아래와 같다. 초기 세포밀도는 40,000 cells/well로, 세포 배양시간 및 처리시간은 각각 24시간으로 설정하였다. 또한 최적 O/V 농도는 500/50 μM로 설정하였다. 본 연구에서 PSP 중 Saxitoxin (STX)에 대해서 O/V 처리가 된 상태에서 S자형 용량-반응 그래프가 도출되는 8가지 농도(368~47,056 fg/μl)를 확인하였고, Neuro-2a assay의 실험실 간 변동성 비교를 통해, 실험의 적정성 확인을 위한 5가지 Quality Control Criteria와 실험 데이터의 신뢰가능 범위(Data Criteria) 6가지를 설정하였다. 확 립된 조건으로 Neuro-2a assay를 진행한 결과 반수영향농도(EC₅₀) 값은 약 1,800~3,500 fg/μl로 나타났다. 실험실 간 변동성 비교 결과, Quality Control Criteria 값 및 Data criteria 값의 변동계수(coefficients of variation (CVs))가 1.98~29.15% 범위로 산출되어 실험의 적정성 및 재현성이 확인되었다. 본 연구를 통해 우리나라에서 활용할 수 있는 PSP 검출용 Neuro-2a assay 시험법의 최적 조건 및 5가지 Quality control 기준을 제시하였고, PSP 중 대표적인 독소인 STX을 대상으로 Neuro-2a assay를 실시한 결과 유의한 EC₅₀ 값을 산출할 수 있었으며, 향후 국내 수산물을 대상으로 MBA를 대체할 수 있는 PSP 검출법으로 활용될 것으로 기대된다.

• Journal of Acupuncture Research
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• 제30권3호
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• pp.1-13
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• 2013

Objectives : This study was performed to choose more effective neuro-protective acupuncture point and to verify the effect of acupuncture in promoting neurogenesis and angiogenesis as a result of its neuro-vasculo-regenerative effect in middle cerebral artery occlusion model in rats. Methods : By TTc staining we chose the most effective acupuncture point with neuro-protection. We randomly divided into four groups: Such as (1) sham group(with sham-operation), (2) sham+acupuncture group(with sham-operation), (3) middle cerebral artery occlusion group, (4) MCAO+AT group. Acupuncture procedure was performed for four days. Total RNA was extracted using TRIzol reagent, according to the manufacturer's instructions, and was purified using an RNAeasy mini kit. Immuno-histochemistry was performed using primary antibody mouse anti-BrdU, NeuN, Dcx, and VEGF. Results : We found that $ST_{36}$ had the more neuroprotective effect than $LI_{11}$ and $SP_3$. The microarray analysis revealed that 54 genes were more expressed neurogenesis pathway in MCAO+AT group compared with MCAO group(fold changes greater than or equal to twofold change). 11 genes were more expressed angiogenesis pathway. And 7 genes were more expressed VEGF pathway. Immuno-histochemistry revealed that cell proliferation, cell migration and cell maturation were increased. Conclusions : This study demonstrated that acupuncture on $ST_{36}$ had neuro-protective and neuro-restorative effect in ischemic brain injuries. And its mechanism might be related to promote neurogenesis and angiogenesis. These results suggest that acupuncture have potential benefits for the treatment of ischemic stroke.

• 대한한방부인과학회지
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• 제22권1호
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• pp.15-30
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• 2009

Purpose: In this rapidly aging society, the research and development of traditional oriental medicine treatment is one of the critical factors to protect the increasing neuro-degenerative disorders. In this study, we wanted to verify the effect of Yukul-tang (YUT) on neuro-degenerative disease model by assessing the antioxidant and anti-inflammation effects. Methods: To assess the antioxidant effects of YUT, we carried out DPPH radical and ABTS radical scavenging assays and determined the total polyphenolic contents in YUT. To evaluate the neuro-protective effects of YUT, we performed the MTT and ROS assays and TH immunohistochemistry, NO and TNF-${\alpha}$ assays in SH-SY5Y or mesencephalic dopaminergic neurons damaged by 6-OHDA. Results: The treatment of YUT showed eliminating effects on DPPH radical and ABTS radical. it showed deterring effects on ROS, NO and TNF-${\alpha}$ and protecting effects on TH-positive cell in SH-SY5Y cells or mesencephalic dopaminergic neurons. Especially in the case of the treatment of YUT with 0.2ug/mL + 6-OHDA 10uM, the protective effect on dopaminergic neurons was most outstanding. Conclusion: In this study, we have demonstrated that YUT has an antioxidant effect and a neuro-protective effect on neuro-degenerative disease model caused by neurotoxin such as 6-OHDA. The results of our present study suggest that YUT can be useful agent to prevent and to treat neuro-degenerative diseases.

• 생약학회지
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• 제51권3호
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• pp.163-170
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• 2020

Mahaenggamsuk-tang (MHGS) has been widely used in Korea and China for the treatment of various diseases. MHGS was constituted the Ephedrea Herba, Armenicae Semen, Glycyrrhizae Radix and Gypsum Fibrosum. In this study, we have made three different solvents extract as MHGS water extract (MHGS-W), MHGS 50% EtOH extract (MHGS-50E), and MHGS 100% EtOH extract (MHGS-100E). The MHGS-W, MHGS-50E and MHGS-100E showed the discernible difference patterns on HPLC analysis. Furthermore, MHGS-50E and MHGS-100E significantly increased the DPPH and ABTS radical scavenging effects than MHGS-W. In addition, the MHGS-50E and MHGS-100E also inhibited significantly nitric oxide (NO) and prostaglandin E2 (PGE₂) production, and inducible nitric oxide synthase (iNOS) cyclooxygenase-2 (COX-2) protein expression in RAW264.7. On the other hand, MHGS-50E and MHGS-W showed remarkable protection on the HT22 cell via heme oxygenase (HO)-1, but MHGS-100E did not show. The results of this study proved that MHGS-50E has greater potential therapeutic uses by exerting antioxidant, anti-inflammatory and neuroprotective effects compared to MHGS-100E, MHGS-W. Our study suggests that the different solvent might be affected the biological activities when make the traditional herbal medicines including MHGS.

• 한국지능시스템학회논문지
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• 제9권4호
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• pp.426-435
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• 1999

A high impedance fault(HIF) is one of the serious problems facing the electric utility industry today. Because of the high impedance of a downed conductor under some conditions these faults are not easily detected by over-current based protection devices and can cause fires and personal hazard. In this paper a new method for detection of HIF which uses adaptive neuro-fuzzy inference system (ANFIS) is proposed. Since arcing fault current shows different changes during high and low voltage portion of conductor voltage waveform we firstly divided one cycle of fault current into equal spanned four data windows according to the mangnitude of conductor voltage. Fast fourier transform(FFT) is applied to each data window and the frequency spectrum of current waveform are chosen asinputs of ANFIS after input selection method is preprocessed. Using staged fault and normal data ANFIS is trained to discriminate between normal and HIF status by hybrid learning algorithm. This algorithm adapted gradient descent and least square method and shows rapid convergence speed and improved convergence error. The proposed method represent good performance when applied to staged fault data and HIFLL(high impedance like load)such as arc-welder.

• Environmental Engineering Research
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• 제25권4호
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• pp.545-553
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• 2020

Rainfall-Runoff modeling plays a crucial role in various aspects of water resource management. It helps significantly in resolving the issues related to flood control, protection of agricultural lands, etc. Various Machine learning and statistical-based algorithms have been used for this purpose. These techniques resulted in outcomes with an acceptable rate of success. One of the pertinent machine learning algorithms namely Adaptive Neuro Fuzzy Inference System (ANFIS) has been reported to be a very effective tool for the purpose. However, the computational complexity of ANFIS is a major hindrance in its application. In this paper, we resolved this problem of ANFIS by incorporating one of the evolutionary algorithms known as Particle Swarm Optimization (PSO) which was used in estimating the parameters pertaining to ANFIS. The results of the modified ANFIS were found to be satisfactory. The performance of this modified ANFIS is then compared with conventional ANFIS and another popular statistical modeling technique namely ARIMA model with respect to the forecasting of runoff. In the present investigation, it was found that proposed PSO-ANFIS performed better than ARIMA and conventional ANFIS with respect to the prediction accuracy of runoff.

• 한국환경농학회지
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• 제33권4호
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• pp.414-418
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• 2014

BACKGROUND: Benzene, toluene, ethylbenzene and xylene (BTEX), which are volatile aromatic hydrocarbons and main constituents of gasoline, are neuro-carcinogenic organic pollutants in soil and groundwater. Korea Ministry of Environment has established the maximum permissible level of BTEX in arable soil to 1, 20, 50 and 15 mg/kg, respectively. METHODS AND RESULTS: To understand an arable soil contamination by BTEX, we collected 92 samples from the arable lands around oil reservoir, and analyzed the BTEX residue using a GC-MS with head-space sampler. A linear correlation between BTEX concentration and peak areas was detected with coefficient correlations in the range of 0.9807-0.9995. The method LOQ of BTEX was 0.002, 0.014, 0.084, and 0.038 mg/kg, respectively. Recoveries of 0.5 mg/kg BTEX were found to be 73.7-96.9%. The precision was reliable since RSD percentage (0.7-7.5%) was below 30, which was the normal percent value. Also, BTEX in all samples were detected under the LOQ. CONCLUSION: These results showed that the investigated arable soils around airport and oil reservoir in Korea were not contaminated by oils.