Relevant bibliographies by topics / Adaptive IDS

Academic literature on the topic 'Adaptive IDS'

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Published: 4 June 2021
Last updated: 3 February 2022

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Journal articles on the topic "Adaptive IDS"

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Ninu, S. B., and S. Behin Sam. "Hybrid Enhanced Adaptive ACK IDS Scheme for MANETs." i-manager's Journal on Mobile Applications and Technologies 2, no. 2 (July 15, 2015): 19–26. http://dx.doi.org/10.26634/jmt.2.2.4872.

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Lu, Yi, Menghan Liu, Jie Zhou, and Zhigang Li. "Intrusion Detection Method Based on Adaptive Clonal Genetic Algorithm and Backpropagation Neural Network." Security and Communication Networks 2021 (July 13, 2021): 1–12. http://dx.doi.org/10.1155/2021/9938586.

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Intrusion Detection System (IDS) is an important part of ensuring network security. When the system faces network attacks, it can identify the source of threats in a timely and accurate manner and adjust strategies to prevent hackers from intruding. Efficient IDS can identify external threats well, but traditional IDS has poor performance and low recognition accuracy. To improve the detection rate and accuracy of IDS, this paper proposes a novel ACGA-BPNN method based on adaptive clonal genetic algorithm (ACGA) and backpropagation neural network (BPNN). ACGA-BPNN is simulated on the KDD-CUP’99 and UNSW-NB15 data sets. The simulation results indicate that, in contrast to the methods based on simulated annealing (SA) and genetic algorithm (GA), the detection rate and accuracy of ACGA-BPNN are much higher than of GA-BPNN and SA-BPNN. In the classification results of KDD-CUP’99, the classification accuracy of ACGA-BPNN is 11% higher than GA-BPNN and 24.2% higher than SA-BPNN, and F-score reaches 99.0%. In addition, ACGA-BPNN has good global searchability and its convergence speed is higher than that of GA-BPNN and SA-BPNN. Furthermore, ACGA-BPNN significantly improves the overall detection performance of IDS.
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Xue, Yu, Weiwei Jia, Xuejian Zhao, and Wei Pang. "An Evolutionary Computation Based Feature Selection Method for Intrusion Detection." Security and Communication Networks 2018 (October 9, 2018): 1–10. http://dx.doi.org/10.1155/2018/2492956.

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As the important elements of the Internet of Things system, wireless sensor network (WSN) has gradually become popular in many application fields. However, due to the openness of WSN, attackers can easily eavesdrop, intercept, and rebroadcast data packets. WSN has also faced many other security issues. Intrusion detection system (IDS) plays a pivotal part in data security protection of WSN. It can identify malicious activities that attempt to violate network security goals. Therefore, the development of effective intrusion detection technologies is very important. However, many dimensions of the datasets of IDS are irrelevant or redundant. This causes low detection speed and poor performance. Feature selection is thus introduced to reduce dimensions in IDS. At the same time, many evolutionary computing (EC) techniques were employed in feature selection. However, these techniques usually have just one Candidate Solution Generation Strategy (CSGS) and often fall into local optima when dealing with feature selection problems. The self-adaptive differential evolution (SaDE) algorithm is adopted in our paper to deal with feature selection problems for IDS. The adaptive mechanism and four effective CSGSs are used in SaDE. Through this method, an appropriate CSGS can be selected adaptively to generate new individuals during evolutionary process. Besides, we have also improved the control parameters of the SaDE. The K-Nearest Neighbour (KNN) is used for performance assessment for feature selection. KDDCUP99 dataset is employed in the experiments, and experimental results demonstrate that SaDE is more promising than the algorithms it compares.
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Hsu, Po-Jen, Hung-Ling Yeh, Chia-Liang Tsai, Chia-Hua Chu, Fu-Chen Chen, and Chien-Yu Pan. "Effects of a Floor Hockey Intervention on Motor Proficiency, Physical Fitness, and Adaptive Development in Youths with Mild Intellectual Disabilities." International Journal of Environmental Research and Public Health 18, no. 13 (July 1, 2021): 7059. http://dx.doi.org/10.3390/ijerph18137059.

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This study examined the effects of a 12-week floor hockey training program on the motor proficiency, physical fitness, and adaptive development of youths with mild intellectual disabilities (IDs). A total of 54 youths with IDs were divided into two groups: a floor hockey exercise group (EG; n = 27; age, 16.59 ± 0.56 years) and a control group (CG; n = 27; age, 16.65 ± 0.63 years). The participants in the EG attended sessions of a floor hockey training program 3 times per week over a 12-week period. The CG group maintained their standard activities of daily living. The participants’ scores on the Bruininks–Oseretsky Test of Motor Proficiency, Second Edition, Brockport Physical Fitness Test, and traditional Chinese version of the teacher form of the Adaptive Behavior Assessment System, Second Edition, were obtained before and after the intervention. The results of the study indicate that the 12-week floor hockey training program significantly increased the participants’ scores for most indicators of motor proficiency (p < 0.01), physical fitness (p < 0.01), and adaptive development (p < 0.01). The findings provide evidence that physical activity interventions focusing on floor hockey training are a viable therapeutic option for treating youths with IDs.
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Ramdane, Chikh, and Salim Chikhi. "A New Negative Selection Algorithm for Adaptive Network Intrusion Detection System." International Journal of Information Security and Privacy 8, no. 4 (October 2014): 1–25. http://dx.doi.org/10.4018/ijisp.2014100101.

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Negative Selection Algorithm (NSA) is one of the widely used techniques for Intrusion Detection Systems (IDS) designing. In this paper, the proposed is an IDS based on a new model of NSA namely HNSA-IDSA (Hybrid NSA for Intrusion Detection System Adaptation). The proposed system can detect unknown attacks; moreover can be adapted automatically when new profiles' changes of the system are detected. To determine the efficiency of the proposed approach, the standard KDD99 dataset was used for performing experiments. The obtained results show that the authors' mechanism outperforms some literature techniques providing variant important properties as high detection rate, low false positive, adaptability and new attacks detection.
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Klidbary, Sajad Haghzad, Saeed Bagheri Shouraki, and Iman Esmaili Paeen Afrakoti. "An adaptive efficient memristive ink drop spread (IDS) computing system." Neural Computing and Applications 31, no. 11 (July 4, 2018): 7733–54. http://dx.doi.org/10.1007/s00521-018-3604-0.

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Puchalska-Wasyl, Małgorzata M., and Tomasz Jankowski. "Do Internal Dialogues in Young Adults Depend on Mother-Father Incongruence in Parental Attitudes Assessed Retrospectively?" Journal of Family Issues 41, no. 5 (October 14, 2019): 667–91. http://dx.doi.org/10.1177/0192513x19881773.

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Mother-father incongruence in parental attitudes can cause conflict in the child. This may result in an experience of uncertainty that stimulates a person to engage in internal dialogues (IDs). Thus, we hypothesized that the greater the incongruence between the mother’s and the father’s parental attitudes, as assessed retrospectively by the child, the greater is the intensity of IDs in an adult offspring’s life. Participants were 92 women and 84 men aged between 20 years and 32 years. We used two methods: the Questionnaire of Retrospective Assessment of Parental Attitudes and the Internal Dialogical Activity Scale. We conducted a response survey analysis. Our hypothesis has been fully supported with regard to non-adaptive confronting IDs and general internal dialogical activity: the less the mother protects, and the more the father is overprotective, the greater is the intensity of these IDs. Our findings are discussed in light of the broader literature on parental attitudes and IDs.
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Krishnan Sadhasivan, Dhanalakshmi, and Kannapiran Balasubramanian. "A Fusion of Multiagent Functionalities for Effective Intrusion Detection System." Security and Communication Networks 2017 (2017): 1–15. http://dx.doi.org/10.1155/2017/6216078.

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Provision of high security is one of the active research areas in the network applications. The failure in the centralized system based on the attacks provides less protection. Besides, the lack of update of new attacks arrival leads to the minimum accuracy of detection. The major focus of this paper is to improve the detection performance through the adaptive update of attacking information to the database. We propose an Adaptive Rule-Based Multiagent Intrusion Detection System (ARMA-IDS) to detect the anomalies in the real-time datasets such as KDD and SCADA. Besides, the feedback loop provides the necessary update of attacks in the database that leads to the improvement in the detection accuracy. The combination of the rules and responsibilities for multiagents effectively detects the anomaly behavior, misuse of response, or relay reports of gas/water pipeline data in KDD and SCADA, respectively. The comparative analysis of the proposed ARMA-IDS with the various existing path mining methods, namely, random forest, JRip, a combination of AdaBoost/JRip, and common path mining on the SCADA dataset conveys that the effectiveness of the proposed ARMA-IDS in the real-time fault monitoring. Moreover, the proposed ARMA-IDS offers the higher detection rate in the SCADA and KDD cup 1999 datasets.
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Ibrahim, Nurudeen Mahmud, and Anazida Zainal. "An Adaptive Intrusion Detection Scheme for Cloud Computing." International Journal of Swarm Intelligence Research 10, no. 4 (October 2019): 53–70. http://dx.doi.org/10.4018/ijsir.2019100104.

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To provide dynamic resource management, live virtual machine migration is used to move a virtual machine from one host to another. However, virtual machine migration poses challenges to cloud intrusion detection systems because movement of VMs from one host to another makes it difficult to create a consistent normal profile for anomaly detection. Hence, there is a need to provide an adaptive anomaly detection system capable of adapting to changes that occur in the cloud data during VM migration. To achieve this, the authors proposed a scheme for adaptive IDS for Cloud computing. The proposed adaptive scheme is comprised of four components: an ant colony optimization-based feature selection component, a statistical time series change point detection component, adaptive classification, and model update component, and a detection component. The proposed adaptive scheme was evaluated using simulated datasets collected from vSphere and performance comparison shows improved performance over existing techniques.
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Gao, Jianlei, Senchun Chai, Baihai Zhang, and Yuanqing Xia. "Research on Network Intrusion Detection Based on Incremental Extreme Learning Machine and Adaptive Principal Component Analysis." Energies 12, no. 7 (March 29, 2019): 1223. http://dx.doi.org/10.3390/en12071223.

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Recently, network attacks launched by malicious attackers have seriously affected modern life and enterprise production, and these network attack samples have the characteristic of type imbalance, which undoubtedly increases the difficulty of intrusion detection. In response to this problem, it would naturally be very meaningful to design an intrusion detection system (IDS) to effectively and quickly identify and detect malicious behaviors. In our work, we have proposed a method for an IDS-combined incremental extreme learning machine (I-ELM) with an adaptive principal component (A-PCA). In this method, the relevant features of network traffic are adaptively selected, where the best detection accuracy can then be obtained by I-ELM. We have used the NSL-KDD standard dataset and UNSW-NB15 standard dataset to evaluate the performance of our proposed method. Through analysis of the experimental results, we can see that our proposed method has better computation capacity, stronger generalization ability, and higher accuracy.
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Dissertations / Theses on the topic "Adaptive IDS"

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Bojanic, Irena. "On-line adaptive IDS scheme for detecting unknown network attacks using HMM models." College Park, Md. : University of Maryland, 2005. http://hdl.handle.net/1903/2571.

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Thesis (M.S.) -- University of Maryland, College Park, 2005.
Thesis research directed by: Electrical Engineering. Title from t.p. of PDF. Includes bibliographical references. Published by UMI Dissertation Services, Ann Arbor, Mich. Also available in paper.
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Techateerawat, Piya, and piyat33@yahoo com. "Key distribution and distributed intrusion detection system in wireless sensor network." RMIT University. Electrical and Computer Systems Engineering, 2008. http://adt.lib.rmit.edu.au/adt/public/adt-VIT20080729.162610.

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This thesis proposes a security solution in key management and Intrusion Detection System (IDS) for wireless sensor networks. It addresses challenges of designing in energy and security requirement. Since wireless communication consumes the most energy in sensor network, transmissions must be used efficiently. We propose Hint Key Distribution (HKD) for key management and Adaptive IDS for distributing activated IDS nodes and cooperative operation of these two protocols. HKD protocol focuses on the challenges of energy, computation and security. It uses a hint message and key chain to consume less energy while self-generating key can secure the secret key. It is a proposed solution to key distribution in sensor networks. Adaptive IDS uses threshold and voting algorithm to distribute IDS through the network. An elected node is activated IDS to monitor its network and neighbors. A threshold is used as a solution to reduce number of repeated activations of the same node. We attempt to distribute the energy use equally across the network. In a cooperative protocol, HKD and Adaptive IDS exchange information in order to adjust to the current situation. The level of alert controls the nature of the interaction between the two protocols.
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Salah, Ben Romdhane Mohamed. "Design synthesis of application-specification ICs for DSP." Diss., Georgia Institute of Technology, 1995. http://hdl.handle.net/1853/15392.

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Popayán, Avila Jhossep Augusto. "Contributions to ida-pbc with adaptive control for underactuated mechanical systems." Master's thesis, Pontificia Universidad Católica del Perú, 2018. http://tesis.pucp.edu.pe/repositorio/handle/123456789/12894.

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This master thesis is devoted to developing an adaptive control scheme for the well- known Interconnection and Damping Assignment Passivity-Based Control (IDA-PBC) technique. The main objective of this adaptive scheme is to asymptotically stabilize a class of Underactuated Mechanical Systems (UMSs) in the presence of uncertainties (not necessarily matched). This class of UMSs is characterized by the solvability of the Partial Differential Equation (PDE) resulting from the IDA-PBC technique. Two propositions are stated in this work to design the adaptive IDA-PBC. One of the main properties of these propositions is that even though the parameter estimation conver- gence is not guaranteed, the adaptive IDA-PBC achieves asymptotic stabilization. To illustrate the effectiveness of these propositions, this work performs simulations of the Inertia Wheel Inverted Pendulum (IWIP) system, considering a time-dependent input disturbance, a type of physical damping, i.e., friction (not considered in the standard IDA-PBC methodology), and parameter uncertainties in the system (e.g., inertia).
Tesis
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Miller, Nathan D. "Adapting the Skyline Operator in the NetFPGA Platform." Youngstown State University / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=ysu1369586333.

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Montagut, Climent Mario Alberto. "DESIGN, DEVELOPMENT AND EVALUATION OF AN ADAPTIVE AND STANDARDIZED RTP/RTCP-BASED IDMS SOLUTION." Doctoral thesis, Universitat Politècnica de València, 2015. http://hdl.handle.net/10251/48549.

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Nowadays, we are witnessing a transition from physical togetherness towards networked togetherness around media content. Novel forms of shared media experiences are gaining momentum, allowing geographically distributed users to concurrently consume the same media content while socially interacting (e.g., via text, audio or video chat). Relevant use cases are, for example, Social TV, networked games and multi-party conferencing. However, realizing enjoyable shared media services faces many challenges. In particular, a key technological enabler is the concurrent synchronization of the media playout across multiple locations, which is known as Inter-Destination Multimedia Synchronization (IDMS). This PhD thesis presents an inter-operable, adaptive and accurate IDMS solution, based on extending the capabilities of RTP/RTCP standard protocols (RFC 3550). Concretely, two new RTCP messages for IDMS have been defined to carry out the necessary information to achieve IDMS. Such RTCP extensions have been standardized within the IETF, in RFC 7272. In addition, novel standard-compliant Early Event-Driven (EED) RTCP feedback reporting mechanisms have been also designed to enhance the performance in terms of interactivity, flexibility, dynamism and accuracy when performing IDMS. The designed IDMS solution makes use of globally synchronized clocks (e.g., using NTP) and can adopt different (centralized and distributed) architectural schemes to exchange the RTCP messages for IDMS. This allows efficiently providing IDMS in a variety of networked scenarios and applications, with different requirements (e.g., interactivity, scalability, robustness…) and available resources (e.g., bandwidth, latency, multicast support…). Likewise, various monitoring and control algorithms, such as dynamic strategies for selecting the reference timing to synchronize with, and fault tolerance mechanisms, have been added. Moreover, the proposed IDMS solution includes a novel Adaptive Media Playout (AMP) technique, which aims to smoothly adjust the media playout rate, within perceptually tolerable ranges, every time an asynchrony threshold is exceeded. Prototypes of the IDMS solution have been implemented in both a simulation and in real media framework. The evaluation tests prove the consistent behavior and the satisfactory performance of each one of the designed components (e.g.,protocols, architectural schemes, master selection policies, adjustment techniques…). Likewise, comparison results between the different developed alternatives for such components are also provided. In general, the obtained results demonstrate the ability of this RTP/RTCP-based IDMS solution to concurrently and independently maintain an overall synchronization status (within allowable limits) in different logical groups of users, while avoiding annoying playout discontinuities and hardly increasing the computation and traffic load.
Montagut Climent, MA. (2015). DESIGN, DEVELOPMENT AND EVALUATION OF AN ADAPTIVE AND STANDARDIZED RTP/RTCP-BASED IDMS SOLUTION [Tesis doctoral no publicada]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/48549
TESIS
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Margelou, Dimitra. "Indoor thermal comfort and associated adaptive measures towards an energy efficient new campus in Borlänge, Sweden." Thesis, Högskolan Dalarna, Energiteknik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:du-34556.

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Thermal comfort of the occupants is of highest importance specifically in Scandinavian countries. Especially for an educational building, both students and working staff spend most of their time indoors, therefore it is critical to guarantee a healthy and productive indoor climate environment around a whole year. Taking into account that Högskolan Dalarna plans to move into a newly renovated building in the center of Borlänge in 2022, this thesis focus on this essential topic and tries to dig out some valuable adaptive suggestions for the coming schematic design phase. In the next design phase, it aims to satisfy design requirements of Miljöbyggnad 3.0 certification at sliver level, as well as operation requirements of BREEAM InUse at very good level. Consequently, the aim of this thesis project is to have an overall thermal comfort assessment of all representative rooms in the project of the new campus building in Borlänge, Sweden. The thermal comfort assessment consists of both winter situation and summer situation. Both situations are completely under recommended study method from Miljöbyggnad 3.0 with the technical assistant of dynamic building simulation software tool IDA ICE 4.8. Several aspects have been investigated in terms of indoor thermal comfort. The first impacting element is future climate scenarios, so as to check how the future climate will affect the thermal comfort performance. Afterwards, both external and internal shading devices were individually applied to examine and quantify the benefits in terms of indoor thermal comfort. Lastly, the advanced control shading strategies were studied to further improve the thermal comfort performance based on the appropriate conventional shading method. The results showed that future climate scenario has limited impact on the thermal comfort performance when rooms are under temperature controlled via room heating and cooling units. Regarding the shading methods, the internal shading was proved to give a better overall performance. If there is the chance to implement automation shading device, the author recommends the “zone air temperature with operative temperature setpoint 21°C, in which proved to be significantly improved the thermal comfort levels that previously discovered in the vulnerable zones. Therefore, it is expected significantly to reduce the energy dependency during cooling season.
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Dennison, Kaitlin, S. Mark Ammons, Vincent Garrel, Eduardo Marin, Gaetano Sivo, Eduardo Bendek, and Oliver Guyon. "An engineered design of a diffractive mask for high precision astrometry." SPIE-INT SOC OPTICAL ENGINEERING, 2016. http://hdl.handle.net/10150/622011.

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AutoCAD, Zemax Optic Studio 15, and Interactive Data Language (IDL) with the Proper Library are used to computationally model and test a diffractive mask (DiM) suitable for use in the Gemini Multi-Conjugate Adaptive Optics System (GeMS) on the Gemini South Telescope. Systematic errors in telescope imagery are produced when the light travels through the adaptive optics system of the telescope. DiM is a transparent, flat optic with a pattern of miniscule dots lithographically applied to it. It is added ahead of the adaptive optics system in the telescope in order to produce diffraction spots that will encode systematic errors in the optics after it. Once these errors are encoded, they can be corrected for. DiM will allow for more accurate measurements in astrometry and thus improve exoplanet detection. The mechanics and physical attributes of the DiM are modeled in AutoCAD. Zemax models the ray propagation of point sources of light through the telescope. IDL and Proper simulate the wavefront and image results of the telescope. Aberrations are added to the Zemax and IDL models to test how the diffraction spots from the DiM change in the final images. Based on the Zemax and IDL results, the diffraction spots are able to encode the systematic aberrations.
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Tabler, John A. "An integrated adaptive bias solution for zero passive component count high-performance mixed-signal ICs." Diss., Georgia Institute of Technology, 1997. http://hdl.handle.net/1853/13339.

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Boss, John. "Adaptive evolution of Transcription Factors in European and wine yeast." Thesis, Södertörn University College, School of Life Sciences, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:sh:diva-3263.

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The mutability of transcription factors (TF) is thought to be of high importance for the evolutionary change of living organisms. Transcription factors, coactivators, coregulators, kinases, chromatin remodelers conditional factors and other proteins together govern the timing and level of gene expression. About 10% of the genes in the human genome are predicted to be TFs and mutational changes in these genes or in the target regulatory sequences they bind will potentially give rise to evolutionary advantages or malfunctions for the organism. Recent research has suggested that the parts of the transcription factors that are not structurally defined in solution, so called intrinsically disordered regions (IDRs), have a higher potential for evolutionary diversification than more structurally rigid regions. This suggests that these domains that earlier have been considered mostly unimportant may have an important potential for evolutionary diversification. This project aimed to further evaluate evidence supporting the hypothesis that variable-structured domains in transcription factors are of significant importance for functional diversification. This was be done by comparing the rate of synonymous and non-synonymous genetic variation in the coding regions of 12 selected TFs within a highly conserved clade of European wine yeasts and by comparing this variation to divergent phenotypic patterns within the strains. The frequency of non-synonymous mutations was much greater than for synonymous mutations indicating an important role of positive selection acting on these TFs during diversification of the different strains. No significant connections were discovered between the distribution of DNA variation and phenotypic patterns.

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Books on the topic "Adaptive IDS"

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Berry, R. H. Adapting the ID3 algorithm to interpret the results of financial models. Norwich: School of Information Systems, University of East Anglia, 1991.

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Karaseva, Tat'yana, Aleksandr Mahov, and Svetlana Tolstova. Therapeutic physical culture for children's diseases. ru: INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1042604.

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The textbook presents the content of the main sections of the discipline, as well as includes teaching materials for independent work of students. It is intended for students studying in the areas of training "Physical culture" and "Physical culture for people with disabilities in health (adaptive physical culture)".
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Karaseva, Tat'yana, Aleksandr Mahov, and Aleksey Zamogil'nov. Therapeutic physical culture for therapeutic diseases. ru: INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1042644.

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The textbook presents the content of the main sections of the course, as well as teaching materials for independent work of students. It is intended for full-time and part-time students of training areas 49.03.01 "Physical culture" and 49.03.02 " Physical culture for the disabled (adaptive physical culture)", studying the discipline"therapeutic physical culture".
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Karaseva, Tat'yana, Aleksandr Mahov, and Svetlana Tolstova. Therapeutic physical culture for diseases of the elderly. ru: INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1042608.

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The textbook presents questions that reflect the content of the courses "physical therapy and massage", "Physical rehabilitation", as well as the course of specialization of the AFC "physical therapy in geriatrics". It is intended for students studying in the specialties and areas of training "Physical culture" and " Physical culture for people with disabilities (adaptive physical culture)", physical therapy instructors.
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Karaseva, Tat'yana, Aleksandr Mahov, and Svetlana Tolstova. Therapeutic physical culture for diseases of the nervous system. ru: INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1042623.

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The textbook presents the content of the main sections of the course, as well as educational and methodological materials for independent work of students. It is intended for full-time and part-time students of the training areas 49.03.01 "Physical culture", 49.03.02 " Physical culture for persons with disabilities in the state of health (adaptive physical culture)", studying the discipline "Therapeutic physical culture".
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Lucas, Henry, Gerald Bloom, Gu Xing-Yuan, Tang Sheng-Lan, Feng Xue-Shan, Malcolm Segall, Garth Singleton, and Polly Payne. Financing Health Services in China: Adapting to Economic Reform (IDS Research Reports). Institute of Development Studies (IDS), 1994.

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Brunner, Ronald D., and Amanda H. Lynch. Adaptive Governance. Oxford University Press, 2017. http://dx.doi.org/10.1093/acrefore/9780190228620.013.601.

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Adaptive governance is defined by a focus on decentralized decision-making structures and procedurally rational policy, supported by intensive natural and social science. Decentralized decision-making structures allow a large, complex problem like global climate change to be factored into many smaller problems, each more tractable for policy and scientific purposes. Many smaller problems can be addressed separately and concurrently by smaller communities. Procedurally rational policy in each community is an adaptation to profound uncertainties, inherent in complex systems and cognitive constraints, that limit predictability. Hence planning to meet projected targets and timetables is secondary to continuing appraisal of incremental steps toward long-term goals: What has and hasn’t worked compared to a historical baseline, and why? Each step in such trial-and-error processes depends on politics to balance, if not integrate, the interests of multiple participants to advance their common interest—the point of governance in a free society. Intensive science recognizes that each community is unique because the interests, interactions, and environmental responses of its participants are multiple and coevolve. Hence, inquiry focuses on case studies of particular contexts considered comprehensively and in some detail.Varieties of adaptive governance emerged in response to the limitations of scientific management, the dominant pattern of governance in the 20th century. In scientific management, central authorities sought technically rational policies supported by predictive science to rise above politics and thereby realize policy goals more efficiently from the top down. This approach was manifest in the framing of climate change as an “irreducibly global” problem in the years around 1990. The Intergovernmental Panel on Climate Change (IPCC) was established to assess science for the Conference of the Parties (COP) to the U.N. Framework Convention on Climate Change (UNFCCC). The parties negotiated the Kyoto Protocol that attempted to prescribe legally binding targets and timetables for national reductions in greenhouse gas emissions. But progress under the protocol fell far short of realizing the ultimate objective in Article 1 of the UNFCCC, “stabilization of greenhouse gas concentrations in the atmosphere at a level that would prevent dangerous anthropogenic interference in the climate system.” As concentrations continued to increase, the COP recognized the limitations of this approach in Copenhagen in 2009 and authorized nationally determined contributions to greenhouse gas reductions in the Paris Agreement in 2015.Adaptive governance is a promising but underutilized approach to advancing common interests in response to climate impacts. The interests affected by climate, and their relative priorities, differ from one community to the next, but typically they include protecting life and limb, property and prosperity, other human artifacts, and ecosystem services, while minimizing costs. Adaptive governance is promising because some communities have made significant progress in reducing their losses and vulnerability to climate impacts in the course of advancing their common interests. In doing so, they provide field-tested models for similar communities to consider. Policies that have worked anywhere in a network tend to be diffused for possible adaptation elsewhere in that network. Policies that have worked consistently intensify and justify collective action from the bottom up to reallocate supporting resources from the top down. Researchers can help realize the potential of adaptive governance on larger scales by recognizing it as a complementary approach in climate policy—not a substitute for scientific management, the historical baseline.
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Breban, Maxime, and Hill Gaston. Immune mechanisms: adaptive immunity. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780198734444.003.0008.

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The role of adaptive immunity (i.e. the involvement of B and T lymphocytes) in the pathogenesis of axial spondyloarthritis has been investigated in both human disease and relevant animal models. Studies of B cell responses have not generally implicated an autoantibody in the disease, but there are abnormalities of antibody responses, particularly increased titres of antibodies to various gut bacteria. T cells are critical to the disease in animal models other than those where overexpression of a cytokine is engineered, suggesting that they are the drivers of the inflammatory response. There is convergent evidence from animal models, genetics in humans, and direct observation of human peripheral blood and joints to implicate T cells producing IL-17 under the influence of IL-23. These in turn may be responding to bacteria either in the gut or on the skin.
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Boyd, Brian. Making Adaptation Studies Adaptive. Edited by Thomas Leitch. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780199331000.013.34.

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An evolutionary (or “adaptationist”) perspective on adaptation studies offers ways past the “fidelity discourse” that has long vexed adaptation scholars. Biological adaptation forgoes exact fidelity to solve the new problems posed by inevitably changing environments, in a process that is fertile as well as faithful. Artistic adaptation also looks two ways, toward retention or fidelity and toward innovation or fertility. The complex and multiple adaptations and hybridizations of art and nature, of page, stage, screen, and painting in Nabokov’s 1969 novel Ada suggest that the more exactly you know your world, or the world of art, the more you can transform them as you wish. Charlie Kaufman’s 2002 screenplay Adaptation. resembles Ada not only in spotlighting orchids but also in being meta-adaptational, addressing, like Ada, both fidelity within adaptation and the creative fertility to be found in building on prior design but moving beyond fidelity.
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Zhu, Yang, and Miroslav Krstic. Delay-Adaptive Linear Control. Princeton University Press, 2020. http://dx.doi.org/10.23943/princeton/9780691202549.001.0001.

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Actuator and sensor delays are among the most common dynamic phenomena in engineering practice, and when disregarded, they render controlled systems unstable. Over the past sixty years, predictor feedback has been a key tool for compensating such delays, but conventional predictor feedback algorithms assume that the delays and other parameters of a given system are known. When incorrect parameter values are used in the predictor, the resulting controller may be as destabilizing as without the delay compensation. This book develops adaptive predictor feedback algorithms equipped with online estimators of unknown delays and other parameters. Such estimators are designed as nonlinear differential equations, which dynamically adjust the parameters of the predictor. The design and analysis of the adaptive predictors involves a Lyapunov stability study of systems whose dimension is infinite, because of the delays, and nonlinear, because of the parameter estimators. This book solves adaptive delay compensation problems for systems with single and multiple inputs/outputs, unknown and distinct delays in different input channels, unknown delay kernels, unknown plant parameters, unmeasurable finite-dimensional plant states, and unmeasurable infinite-dimensional actuator states. Presenting breakthroughs in adaptive control and control of delay systems, the book offers powerful new tools for the control engineer and the mathematician.
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Book chapters on the topic "Adaptive IDS"

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Raju S., Ramakrishna, and Sreenivasa Rao. "Construction of Adaptive IDS Through IREP++ and ARM." In Distributed Computing and Networking, 127–32. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11947950_14.

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Seeber, Sebastian, and Gabi Dreo Rodosek. "Towards an Adaptive and Effective IDS Using OpenFlow." In Intelligent Mechanisms for Network Configuration and Security, 134–39. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-20034-7_14.

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Zainal, Anazida, Mohd Aizaini Maarof, Siti Mariyam Shamsuddin, and Ajith Abraham. "Design of Adaptive IDS with Regulated Retraining Approach." In Communications in Computer and Information Science, 590–600. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-35326-0_59.

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Saganowski, Łukasz, Michał Choraś, Rafał Renk, and Witold Hołubowicz. "A Novel Signal-Based Approach to Anomaly Detection in IDS Systems." In Adaptive and Natural Computing Algorithms, 527–36. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04921-7_54.

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Firouzi, Mohsen, Saeed Bagheri Shouraki, and Jörg Conradt. "Sensorimotor Control Learning Using a New Adaptive Spiking Neuro-Fuzzy Machine, Spike-IDS and STDP." In Artificial Neural Networks and Machine Learning – ICANN 2014, 379–86. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-11179-7_48.

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Chiba, Zouhair, Noreddine Abghour, Khalid Moussaid, Amina El omri, and Mohamed Rida. "Novel Network IDS in Cloud Computing Based on Optimized Back Propagation Neural Network Using a Self-adaptive Genetic Algorithm." In Innovations in Smart Cities Applications Edition 2, 588–602. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-11196-0_49.

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Chiba, Zouhair, Noreddine Abghour, Khalid Moussaid, Amina El Omri, and Mohamed Rida. "An Efficient Network IDS for Cloud Environments Based on a Combination of Deep Learning and an Optimized Self-adaptive Heuristic Search Algorithm." In Networked Systems, 235–49. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-31277-0_15.

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Li, Lingjuan, Wenyu Tang, and Ruchuan Wang. "A CBR Engine Adapting to IDS." In Computational Intelligence and Security, 334–39. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11596981_50.

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Costabile, M. F., F. Esposito, G. Semeraro, N. Fanizzi, and S. Ferilli. "Interacting with IDL: The Adaptive Visual Interface." In Research and Advanced Technology for Digital Libraries, 515–34. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/3-540-49653-x_31.

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Zabinsky, Zelda B. "Hesitant Adaptive Search." In Nonconvex Optimization and Its Applications, 55–81. Boston, MA: Springer US, 2003. http://dx.doi.org/10.1007/978-1-4419-9182-9_3.

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Conference papers on the topic "Adaptive IDS"

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Oh, Sung-il, Min Sik Kim, and Inbok Lee. "An efficient bit-parallel algorithm for IDS." In the 2013 Research in Adaptive and Convergent Systems. New York, New York, USA: ACM Press, 2013. http://dx.doi.org/10.1145/2513228.2513273.

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Liu, Xuejiao, Xin Zhuang, and Debao Xiao. "An adaptive architecture of applying vulnerability analysis to IDS alerts." In the 2008 International Conference. New York, New York, USA: ACM Press, 2008. http://dx.doi.org/10.1145/1509315.1509393.

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Sabat, Santoshkumar, and Sujata Kadam. "Adaptive Energy aware reputation based leader election for IDS in MANET." In 2014 International Conference on Communications and Signal Processing (ICCSP). IEEE, 2014. http://dx.doi.org/10.1109/iccsp.2014.6949972.

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Srinoy, Surat. "An Adaptive IDS Model Based on Swarm Intelligence and Support Vector Machine." In 2006 International Symposium on Communications and Information Technologies. IEEE, 2006. http://dx.doi.org/10.1109/iscit.2006.340017.

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Zanna, Paul, Benjamin O'Neill, Pj Radcliffe, Sepehr Hosseini, and MD Salman Ul Hoque. "Adaptive threat management through the integration of IDS into Software Defined Networks." In 2014 International Conference and Workshop on the Network of the Future (NOF). IEEE, 2014. http://dx.doi.org/10.1109/nof.2014.7119792.

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Sourour, Meharouech, Bouhoula Adel, and Abbes Tarek. "Adaptive IDS Alerts Correlation according to the traffic type and the attacks properties." In 2009 IEEE International Advance Computing Conference (IACC 2009). IEEE, 2009. http://dx.doi.org/10.1109/iadcc.2009.4809265.

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Limmer, Tobias, and Falko Dressler. "Adaptive Load Balancing for Parallel IDS on Multi-Core Systems Using Prioritized Flows." In 2011 20th International Conference on Computer Communications and Networks - ICCCN 2011. IEEE, 2011. http://dx.doi.org/10.1109/icccn.2011.6006063.

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Aly, Wael Hosny Fouad. "Adaptive Combinatorial Key Scheme for Mobile Heterogeneous Wireless Sensor Networks." In 2016 IEEE 2nd International Conference on Big Data Security on Cloud (BigDataSecurity), IEEE International Conference on High Performance and Smart Computing (HPSC) and IEEE International Conference on Intelligent Data and Security (IDS). IEEE, 2016. http://dx.doi.org/10.1109/bigdatasecurity-hpsc-ids.2016.21.

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Chiba, Zouhair, Noreddine Abghour, Khalid Moussaid, Amina El Omri, and Mohamed Rida. "A Clever Approach to Develop an Efficient Deep Neural Network Based IDS for Cloud Environments Using a Self-Adaptive Genetic Algorithm." In 2019 International Conference on Advanced Communication Technologies and Networking (CommNet). IEEE, 2019. http://dx.doi.org/10.1109/commnet.2019.8742390.

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Wang, Zhuoyi, Yigong Wang, Bo Dong, Sahoo Pracheta, Kevin Hamlen, and Latifur Khan. "Adaptive Margin Based Deep Adversarial Metric Learning." In 2020 IEEE 6th Intl Conference on Big Data Security on Cloud (BigDataSecurity), IEEE Intl Conference on High Performance and Smart Computing, (HPSC) and IEEE Intl Conference on Intelligent Data and Security (IDS). IEEE, 2020. http://dx.doi.org/10.1109/bigdatasecurity-hpsc-ids49724.2020.00028.

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Reports on the topic "Adaptive IDS"

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Brinkerhoff, Derick W., Sarah Frazer, and Lisa McGregor-Mirghani. Adapting to Learn and Learning to Adapt: Practical Insights from International Development Projects. RTI Press, January 2018. http://dx.doi.org/10.3768/rtipress.2018.pb.0015.1801.

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Adaptive programming and management principles focused on learning, experimentation, and evidence-based decision making are gaining traction with donor agencies and implementing partners in international development. Adaptation calls for using learning to inform adjustments during project implementation. This requires information gathering methods that promote reflection, learning, and adaption, beyond reporting on pre-specified data. A focus on adaptation changes traditional thinking about program cycle. It both erases the boundaries between design, implementation, and evaluation and reframes thinking to consider the complexity of development problems and nonlinear change pathways.Supportive management structures and processes are crucial for fostering adaptive management. Implementers and donors are experimenting with how procurement, contracting, work planning, and reporting can be modified to foster adaptive programming. Well-designed monitoring, evaluation, and learning systems can go beyond meeting accountability and reporting requirements to produce data and learning for evidence-based decision making and adaptive management. It is important to continue experimenting and learning to integrate adaptive programming and management into the operational policies and practices of donor agencies, country partners, and implementers. We need to devote ongoing effort to build the evidence base for the contributions of adaptive management to achieving international development results.
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Elias, Emile, Caiti Steele, Kris Havstad, Kerri Steenwerth, Jeanne Chambers, Helena Deswood, Amber Kerr, et al. Assessment of Climate Change Vulnerability and Adaptation and Mitigation Strategies in the Southwest and California. USDA Southwest Climate Hub, October 2017. http://dx.doi.org/10.32747/2017.6965582.ch.

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This report describes the potential vulnerability of specialty crops, field crops, forests, and animal agriculture to climate-driven environmental changes. Here, vulnerability is defined as a function of exposure to climate change effects, sensitivity to these effects, and adaptive capacity. The exposure of specific sectors of the agricultural and forestry industries varies across the region because the Southwest is climatically and topographically diverse. There is also variability in the sensitivity of different systems to the effects of climate change. Most significantly, there is potential within agricultural and forestry systems to adjust to climate-related effects either through inherent resilience or through conservative management practices. The purpose of this analysis is to describe regional vulnerabilities to climate change and adaptive actions that can be employed to maintain productivity of working lands in the coming decades.
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Seale, Maria, Natàlia Garcia-Reyero, R. Salter, and Alicia Ruvinsky. An epigenetic modeling approach for adaptive prognostics of engineered systems. Engineer Research and Development Center (U.S.), July 2021. http://dx.doi.org/10.21079/11681/41282.

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Prognostics and health management (PHM) frameworks are widely used in engineered systems, such as manufacturing equipment, aircraft, and vehicles, to improve reliability, maintainability, and safety. Prognostic information for impending failures and remaining useful life is essential to inform decision-making by enabling cost versus risk estimates of maintenance actions. These estimates are generally provided by physics-based or data-driven models developed on historical information. Although current models provide some predictive capabilities, the ability to represent individualized dynamic factors that affect system health is limited. To address these shortcomings, we examine the biological phenomenon of epigenetics. Epigenetics provides insight into how environmental factors affect genetic expression in an organism, providing system health information that can be useful for predictions of future state. The means by which environmental factors influence epigenetic modifications leading to observable traits can be correlated to circumstances affecting system health. In this paper, we investigate the general parallels between the biological effects of epigenetic changes on cellular DNA to the influences leading to either system degradation and compromise, or improved system health. We also review a variety of epigenetic computational models and concepts, and present a general modeling framework to support adaptive system prognostics.
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Murphy, Joe J., Michael A. Duprey, Robert F. Chew, Paul P. Biemer, Kathleen Mullan Harris, and Carolyn Tucker Halpern. Interactive Visualization to Facilitate Monitoring Longitudinal Survey Data and Paradata. RTI Press, May 2019. http://dx.doi.org/10.3768/rtipress.2019.op.0061.1905.

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Surveys often require monitoring during data collection to ensure progress in meeting goals or to evaluate the interim results of an embedded experiment. Under complex designs, the amount of data available to monitor may be overwhelming and the production of reports and charts can be costly and time consuming. This is especially true in the case of longitudinal surveys, where data may originate from multiple waves. Other such complex scenarios include adaptive and responsive designs, which were developed to act on the results of such monitoring to implement prespecified options or alternatives in protocols. This paper discusses the development of an interactive web-based data visualization tool, the Adaptive Total Design (ATD) Dashboard, which we designed to provide a wide array of survey staff with the information needed to monitor data collection daily. The dashboard was built using the R programming language and Shiny framework and provides users with a wide range of functionality to quickly assess trends. We present the structure of the data used to populate the dashboard, its design, and the process for hosting it on the web. Furthermore, we provide guidance on graphic design, data taxonomy, and software decisions that can help guide others in the process of developing their own data collection monitoring systems. To illustrate the benefits of the dashboard, we present examples from the National Longitudinal Study of Adolescent to Adult Health (Add Health). We also discuss features of the dashboard to be developed for future waves of Add Health.
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Ayoul-Guilmard, Q., S. Ganesh, M. Nuñez, R. Tosi, F. Nobile, R. Rossi, and C. Soriano. D5.3 Report on theoretical work to allow the use of MLMC with adaptive mesh refinement. Scipedia, 2021. http://dx.doi.org/10.23967/exaqute.2021.2.002.

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This documents describes several studies undertaken to assess the applicability of MultiLevel Monte Carlo (MLMC) methods to problems of interest; namely in turbulent fluid flow over civil engineering structures. Several numerical experiments are presented wherein the convergence of quantities of interest with mesh parameters are studied at different Reynolds’ numbers and geometries. It was found that MLMC methods could be used successfully for low Reynolds’ number flows when combined with appropriate Adaptive Mesh Refinement (AMR) strategies. However, the hypotheses for optimal MLMC performance were found to not be satisfied at higher turbulent Reynolds’ numbers despite the use of AMR strategies. Recommendations are made for future research directions based on these studies. A tentative outline for an MLMC algorithm with adapted meshes is made, as well as recommendations for alternatives to MLMC methods for cases where the underlying assumptions for optimal MLMC performance are not satisfied.
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Cedergren, Elin, Diana Huynh, Andrea Morf, and John Moodie. Strengthening regional resilience through adaptive collaboration: A case study on the fisheries co-management Northern Bohuslän. Nordregio, September 2020. http://dx.doi.org/10.6027/pb2020:5.2001-3876.

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This policy brief examines how co-management arrangements within small-scale fisheries can play a key role in enhancing sectoral and regional resilience. Despite major challenges, “multi-stakeholder collaborations” - such as co-management - demonstrate the potential for innovative knowledge transfer and strategic adaptation processes within the fisheries sector. The focus here is on Co-management Northern Bohuslän (Samförvaltning Norra Bohuslän), which promotes sustainable local fisheries and blue growth on Sweden’s west coast. The case illustrates how, under appropriate conditions, participatory local efforts can significantlycontribute to sustainability and resilience. The policy brief presents findings on related challenges and opportunities, including recommendations on future directions for the co-management initiative itself, and more general suggestions for co-management as a means to promote sectoral and regional resilience in the Nordic region.
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Knight, Lynn, and Suzy Hodgson. Economics of Gully Erosion Stabilization. USDA Northeast Climate Hub, July 2018. http://dx.doi.org/10.32747/2018.6893749.ch.

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Rainfall intensity is increasing in the Northeastern U.S. Stabilizing gullies is one strategy for adapting to this changing climate. This case study evaluates the costs and benefits of restoring gullies at Last Resort Farm.
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Elias, Emile, Caiti Steele, Kris Havstad, Kerri Steenwerth, Jeanne Chambers, Helena Deswood, Amber Kerr, et al. Southwest Regional Climate Hub and California Subsidiary Hub Assessment of Climate Change Vulnerability and Adaptation and Mitigation Strategies. United States. Department of Agriculture, August 2015. http://dx.doi.org/10.32747/2015.6879806.ch.

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In 2015, the Southwest and California Climate Hubs published a report describing the potential vulnerability of crops, forests and animal agriculture to climate-driven environmental changes. The exposure of specific sectors of the agricultural and forestry industries varies across the region because the Southwest is climatically and topographically diverse. There is also variability in the sensitivity of different systems to the effects of climate change. Most significantly, there is potential within agricultural and forestry systems to adjust to climate-related effects either through inherent resilience or through conservative management practices. The purpose of this report is to describe regional vulnerabilities to climate change and adaptive actions that can be employed to maintain the productivity of working lands in the coming decades.
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Ayoul-Guilmard, Q., S. Ganesh, F. Nobile, R. Badia, J. Ejarque, L. Cirrottola, A. Froehly, et al. D1.4 Final public Release of the solver. Scipedia, 2021. http://dx.doi.org/10.23967/exaqute.2021.2.009.

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This deliverable presents the final software release of Kratos Multiphysics, together with the XMC library, Hyperloom and PyCOMPSs API definitions [13]. This release also contains the latest developements on MPI parallel remeshing in ParMmg. This report is meant to serve as a supplement to the public release of the software. Kratos is “a framework for building parallel, multi-disciplinary simulation software, aiming at modularity, extensibility, and high performance. Kratos is written in C++, and counts with an extensive Python interface”. XMC is “a Python library for parallel, adaptive, hierarchical Monte Carlo algorithms, aiming at reliability, modularity, extensibility and high performance“. Hyperloom and PyCOMPSs are environments for enabling parallel and distributed computation. ParMmg is an open source software which offers the parallel mesh adaptation of three dimensional volume meshes.
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Martín, A., L. Cirrottola, A. Froehly, R. Rossi, and C. Soriano. D2.2 First release of the octree mesh-generation capabilities and of the parallel mesh adaptation kernel. Scipedia, 2021. http://dx.doi.org/10.23967/exaqute.2021.2.010.

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This document presents a description of the octree mesh-generation capabilities and of the parallel mesh adaptation kernel. As it is discussed in Section 1.3.2 of part B of the project proposal there are two parallel research lines aimed at developing scalable adaptive mesh refinement (AMR) algorithms and implementations. The first one is based on using octree-based mesh generation and adaptation for the whole simulation in combination with unfitted finite element methods (FEMs) and the use of algebraic constraints to deal with non-conformity of spaces. On the other hand the second strategy is based on the use of an initial octree mesh that, after make it conforming through the addition of templatebased tetrahedral refinements, is adapted anisotropically during the calculation. Regarding the first strategy the following items are included:
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