• 제목/요약/키워드: Multiple agent

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ARARO: Aggregate Router-Assisted Route Optimization for Mobile Network Support

  • Rho, Kyung-Taeg;Jung, Soo-Mok
    • Journal of the Korean Society for Industrial and Applied Mathematics
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    • 제11권4호
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    • pp.9-17
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    • 2007
  • Network Mobility basic support protocol (NEMO Basic) extends the operation of Mobile IPv6 to provide uninterrupted Internet connectivity to the communicating nodes of mobile networks. The protocol uses a mobile router (MR) in the mobile network to perform prefix scope binding updates with its home agent (HA) to establish a bi-directional tunnel between the HA and MR. This solution reduces location-update signaling by making network movements transparent to the mobile nodes (MNs) behind the MR. However, delays in data delivery and higher overheads are likely to occur because of sub-optimal routing and multiple encapsulation of data packets. To manage the mobility of the mobile network, it is important to minimize packet overhead, to optimize routing, and to reduce the volume of handoff signals over the nested mobile network. This paper proposes en aggregate router-assisted route optimization (ARARO) scheme for nested mobile networks support which introduces a local anchor router in order to localize handoff and to optimize routing. With ARARO, a mobile network node (MNN) behind a MR performs route optimization with a correspondent node (CN) as the MR sends a binding update message (BU) to aggregate router (AGR) via root-MR on behalf of all active MNNs when the mobile network moves. This paper describes the new architecture and mechanisms and provides simulation results which indicate that our proposal reduces transmission delay, handoff latency and signaling overhead. To evaluate the scheme, we present the results of simulation.

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퍼베이시브 컴퓨팅 환경에서의 침입탐지용 모바일 에이전트에 대한 연구 (Study on mobile agents for the intrusion detection in pervasive computing environment)

  • 오병진;엄남경;문형진;이상호
    • 한국컴퓨터정보학회논문지
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    • 제11권3호
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    • pp.231-237
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    • 2006
  • 퍼베이시브 컴퓨팅 환경은 미국 표준화 기구인 NIST와 IBM이 함께 추진하고 있는 개념으로써 유비쿼터스와 유사한 의미이나, 개념적으로만 쓰이는 유비쿼터스와는 대조적으로 IBM에서 추진하는 하나의 사업적 상품명으로 취급되고 있다. 이러한 환경에 기초하여 침입탐지용 모바일 에이전트에 대한 연구가 함께 진행 중이다. 이 논문에서는 침입탐지를 위한 모바일 에이전트에 대한 연구를 다룬 후, 침입 탐지에 있어서 다중 모바일 에이전트를 기반으로 이동중의 모바일 에이전트를 이용한 침입 탐지 시나리오를 제안한다. 이를 통해 침입 탐지에 있어서 무결성 이동성의 과정에서 발생하는 침입 탐지 문제를 해결할 수 있었다.

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Inhibition of biofilm formation of periodontal pathogens by D-Arabinose

  • An, Sun-Jin;Namkung, Jong-Uk;Ha, Kyung-Won;Jun, Hye-Kyoung;Kim, Hyun Young;Choi, Bong-Kyu
    • International Journal of Oral Biology
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    • 제46권3호
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    • pp.111-118
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    • 2021
  • Periodontitis and periimplantitis are caused as a result of dental biofilm formation. This biofilm is composed of multiple species of pathogens. Therefore, controlling biofilm formation is critical for disease prevention. To inhibit biofilm formation, sugars can be used to interrupt lectin-involving interactions between bacteria or between bacteria and a host. In this study, we evaluated the effect of D-Arabinose on biofilm formation of putative periodontal pathogens as well as the quorum sensing activity and whole protein profiles of the pathogens. Crystal violet staining, confocal laser scanning microscopy, and scanning electron microscopy revealed that D-Arabinose inhibited biofilm formation of Porphyromonas gingivalis, Fusobacterium nucleatum, and Tannerella forsythia. D-Arabinose also significantly inhibited the activity of autoinducer 2 of F. nucleatum and the expression of representative bacterial virulence genes. Furthermore, D-Arabinose treatment altered the expression of some bacterial proteins. These results demonstrate that D-Arabinose can be used as an antibiofilm agent for the prevention of periodontal infections.

A Pharmacological Review on Portulaca oleracea L.: Focusing on Anti-Inflammatory, Anti- Oxidant, Immuno-Modulatory and Antitumor Activities

  • Rahimi, Vafa Baradaran;Ajam, Farideh;Rakhshandeh, Hasan;Askari, Vahid Reza
    • 대한약침학회지
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    • 제22권1호
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    • pp.7-15
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    • 2019
  • Portulaca oleracea L. (PO) or Purslane is an annual grassy plant that is distributed in many parts of the world, especially the tropical and subtropical areas. PO has some pharmacological properties such as analgesic, antibacterial, skeletal muscle-relaxant, wound-healing, anti- inflammatory and a radical scavenger. This review article is focused on the anti-inflammatory, immuno-modulatory, anti-oxidant and anti-tumor activities of the PO. Anti-inflammatory, immuno-modulatory, anti-oxidant and Anti-tumor effects of PO were searched using various databases until the end of August 2018. The online literature was searched using PubMed, Science Direct, Scopus, Google Scholar and Web of Science. Our review showed that PO exerts its effects through anti-inflammatory properties and balancing the adaptive and innate immune system depending on situations. PO acts as immune-modulator and anti-oxidant agent in both inflammatory states by the dominance of Th2 response such as asthma, cancer and atopic dermatitis and evoked Th1 disorders including hepatitis and multiple sclerosis.

Anti-inflammatory Activity of Sambucus Plant Bioactive Compounds against TNF-α and TRAIL as Solution to Overcome Inflammation Associated Diseases: The Insight from Bioinformatics Study

  • Putra, Wira Eka;Salma, Wa Ode;Rifa'i, Muhaimin
    • Natural Product Sciences
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    • 제25권3호
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    • pp.215-221
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    • 2019
  • Inflammation is the crucial biological process of immune system which acts as body's defense and protective response against the injuries or infection. However, the systemic inflammation devotes the adverse effects such as multiple inflammation associated diseases. One of the best ways to treat this entity is by blocking the tumor necrosis factor alpha ($TNF-{\alpha}$) and TNF-related apoptosis-inducing ligand (TRAIL) to avoid the proinflammation cytokines production. Thus, this study aims to evaluate the potency of Sambucus bioactive compounds as anti-inflammation through in silico approach. In order to assess that, molecular docking was performed to evaluate the interaction properties between the $TNF-{\alpha}$ or TRAIL with the ligands. The 2D structure of ligands were retrieved online via PubChem and the 3D protein modeling was done by using SWISS Model. The prediction results of the study showed that caffeic acid (-6.4 kcal/mol) and homovanillic acid (-6.6 kcal/mol) have the greatest binding affinity against the $TNF-{\alpha}$ and TRAIL respectively. This evidence suggests that caffeic acid and homovanillic acid may potent as anti-inflammatory agent against the inflammation associated diseases. Finally, this study needs further examination and evaluation to validate the potency of Sambucus bioactive compounds.

Adaptogenic effects of Panax ginseng on modulation of immune functions

  • Ratan, Zubair Ahmed;Youn, Soo Hyun;Kwak, Yi-Seong;Han, Chang-Kyun;Haidere, Mohammad Faisal;Kim, Jin Kyeong;Min, Hyeyoung;Jung, You-Jung;Hosseinzadeh, Hassan;Hyun, Sun Hee;Cho, Jae Youl
    • Journal of Ginseng Research
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    • 제45권1호
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    • pp.32-40
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    • 2021
  • Traditional medicinal practices have used natural products such as adaptogens to treat inflammatory, autoimmune, neurodegenerative, bacterial, and viral diseases since the early days of civilization. Panax ginseng Myer is a common herb used in East Asian countries for millennia, especially in Korea, China, and Japan. Numerous studies indicate that ginseng can modulate the immune system and thereby prevent diseases. Although the human immune system comprises many different types of cells, multiple studies suggest that each type of immune cell can be controlled or stimulated by ginseng or its derivatives. Provisional lists of ginseng's potential for use against viruses, bacteria, and other microorganisms suggest it may prove to be a valuable pharmaceutical resource, particularly if higher-quality evidence can be found. Here, we reviewed the role of ginseng as an immune-modulating agent in attempt to provide a valuable starting point for future studies on the herb and the human immune system.

Shrinkage and crack characteristics of filling materials for precast member joint under various restraint conditions

  • Lim, Dong-Kyu;Choi, Myoung-Sung
    • Advances in concrete construction
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    • 제14권2호
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    • pp.139-151
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    • 2022
  • Filling materials poured into precast member joint are subjected to restraint stress by the precast member and joint reinforcement. The induced stress will likely cause cracks at early ages and performance degradation of the entire structure. To prevent these issues and design reasonable joints, it is very important to analyze and evaluate the restrained shrinkage cracks of filling materials at various restraint conditions. In this study, a new time zero-that defines the shrinkage development time of a filling material-is proposed to calculate the accurate amount of shrinkage. The tensile stresses and strengths at different ages were compared through the ring test (AASHTO PP34) to evaluate the crack potential of the restrained filling materials at various restraint conditions. The mixture which contained an expansive additive and a shrinkage reducing agent exhibited high resistance to shrinkage cracking owing to the high-drying shrinkage compensation effect. The high-performance, fiber-reinforced cement composite, and ultra-high-performance, fiber-reinforced cement composite yielded very high resistance to shrinkage and cracking owing to the pull-out property of steel fibers. To this end, multiple nonlinear regression analyses were conducted based on the test results. Accordingly, a modified tensile stress equation that considered both the geometric shape of the specimen and the intrinsic properties of the material is proposed.

Evolutionary Model of Depression as an Adaptation for Blocked Social Mobility

  • Park, Hanson;Pak, Sunyoung
    • 생물정신의학
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    • 제29권1호
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    • pp.1-8
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    • 2022
  • Objectives In regard to the social competition hypothesis, depression is viewed as an involuntary defeat strategy. A previous study has demonstrated that adaptation in microenvironments can result in a wide range of behavioural patterns including defense activation disorders. Using a simulation model with evolutionary ecological agents, we explore how the fitness of various defence activation traits has changed over time in different environments with high and low social mobility. Methods The Evolutionary Ecological Model of Defence Activation Disorder, which is based on the Marginal Value Theorem, was used to examine changes in relative fitness for individuals with defensive activation disorders after adjusting for social mobility. Results Our study examined the effects of social mobility on fitness by varying the d-values, a measure of depression in the model. With a decline in social mobility, the level of fitness of individuals with high levels of defense activation decreased. We gained insight into the evolutionary influence of varying levels of social mobility on individuals' degrees of depression. In the context of a highly stratified society, the results support a mismatch hypothesis which states that high levels of defence are detrimental. Conclusions Despite the fact that niche specialization in habitats composed of multiple microenvironments can result in diverse levels of defensive activation being evolutionary strategies for stability, decreased social mobility may lead to a decrease in fitness of individuals with highly activated defence modules. There may be a reason behind the epidemic of depression in modern society.

기계학습을 이용한 염화물 확산계수 예측모델 개발 (Development of Prediction Model of Chloride Diffusion Coefficient using Machine Learning)

  • 김현수
    • 한국공간구조학회논문집
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    • 제23권3호
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    • pp.87-94
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    • 2023
  • Chloride is one of the most common threats to reinforced concrete (RC) durability. Alkaline environment of concrete makes a passive layer on the surface of reinforcement bars that prevents the bar from corrosion. However, when the chloride concentration amount at the reinforcement bar reaches a certain level, deterioration of the passive protection layer occurs, causing corrosion and ultimately reducing the structure's safety and durability. Therefore, understanding the chloride diffusion and its prediction are important to evaluate the safety and durability of RC structure. In this study, the chloride diffusion coefficient is predicted by machine learning techniques. Various machine learning techniques such as multiple linear regression, decision tree, random forest, support vector machine, artificial neural networks, extreme gradient boosting annd k-nearest neighbor were used and accuracy of there models were compared. In order to evaluate the accuracy, root mean square error (RMSE), mean square error (MSE), mean absolute error (MAE) and coefficient of determination (R2) were used as prediction performance indices. The k-fold cross-validation procedure was used to estimate the performance of machine learning models when making predictions on data not used during training. Grid search was applied to hyperparameter optimization. It has been shown from numerical simulation that ensemble learning methods such as random forest and extreme gradient boosting successfully predicted the chloride diffusion coefficient and artificial neural networks also provided accurate result.

A case report overlapped vaccine and COVID-19 in disseminated atherosclerosis

  • Vecihe Bayrak
    • Clinical and Experimental Vaccine Research
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    • 제12권2호
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    • pp.172-175
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    • 2023
  • Coronavirus disease 2019 (COVID-19) has become a part of our lives now and we have no more effective way of coping than a vaccine. COVID-19 is a disease that causes severe thrombosis outside the respiratory tract. Vaccines also protect us in this respect, but in some rare cases, thrombosis has been found to develop after vaccination (much less frequently than COVID-19). What was interesting in our case was that it showed how a disaster could happen under three factors that predispose to thrombosis. A 65-year-old female patient with disseminated atherosclerosis was admitted to the intensive care unit with complaints of dyspnea and dysphasia. In the evening of the day, the patient had the vaccination 2 weeks ago, she had active COVID-19. On examination, lower extremity pulses could not be detected. The patient's imaging and blood tests were performed. Multiple complications such as embolic stroke, venous and arterial thrombosis, pulmonary embolism, and pericarditis were observed in the patient. This case may give consideration to anticoagulant therapy studies. We give effective anticoagulant therapy in the presence of COVID-19 in patients at risk of thrombosis. Can anticoagulant therapy be considered after vaccination in patients at risk of thrombosis such as disseminated atherosclerosis?