74 research outputs found
Fair and Sparse Solutions in Network-Decentralized Flow Control
No full textWe proposed network-decentralized control strategies, in which each actuator can exclusively rely on local information, without knowing the network topology and the external input, ensuring that the flow asymptotically converges to the optimal one with respect to the p -norm. For 1 < p < ∞ , the flow converges to a unique constant optimal up∗. We show that the state converges to the optimal Lagrange multiplier of the optimization problem. Then, we consider networks where the flows are affected by unknown spontaneous dynamics and the buffers need to be driven exactly to a desired set-point. We propose a network-decentralized proportional-integral controller that achieves this goal along with asymptotic flow optimality; now it is the integral variable that converges to the optimal Lagrange multiplier. The extreme cases p=1 and p=∞ are of some interest since the former encourages sparsity of the solution while the latter promotes fairness. Unfortunately, for p=1 or p=∞ these strategies become discontinuous and lead to chattering of the flow, hence no optimality is achieved. We then show how to approximately achieve the goal as the limit for p 1 or p ∞.Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.Team Tamas Keviczk
Inovasi Pelayanan SI Dukun 3 in 1 di Rumah Sakit Umum Daerah Pasar Minggu Jakarta Selatan
No full textPublic Trust Analysis of Vaccination Covid-19 Policy in Indonesia
No full textThe Covid-19 vaccination program in Indonesia had been started since early 2021. Effectiveness, side effects, and the level of public awareness are still a problem in achieving the predetermined Covid-19 vaccination target. the study aimed to describe the level of public confidence in the effectiveness of the Covid-19 vaccine. The vaccine is an effective intervention that can reduce the high burden of disease globally. However, public skepticism about vaccines is a pressing issue for public health authorities. With the availability of the Covid-19 vaccine, there is little information available about public acceptance and attitudes toward the Covid-19 vaccine in Indonesia. The method used in this research is a Literature Review study. The results of this study are low-public trust or low trust in the vaccination policy itself, especially in the early days of the presence of vaccines in Indonesia. This low-public trust is much influenced by the distribution of information on social media which gives rise to a narrative of debate. This situation also has an impact on the pattern of acceptance, cooperative interest, and public participation in government policies in the vaccination program, in increasing public trust, of course, there is a role for the media as well to provide education and information on all matters related to the vaccination program. The government’s efforts to cooperate with the Indonesian Ulema Council in supervising halal vaccine products seem to have an influential intensity, this is because Indonesia is a country with the majority of the population converts to Islam, so with the MUI fatwa stating that vaccines used for the COVID-19 pandemic in Indonesia are considered and monitored for purity. But as time goes on and the government continues to make efforts, the public’s confidence in the COVID-19 vaccination is getting better, and the success of preventing COVID-19 is going well.
Keywords: public trust, vaccination, Covid-19, polic
Topology-Independent Robust Stability Conditions for Uncertain MIMO Networks
No full textWe give a sufficient and a necessary condition for the topology-independent robust stability of networked systems formed by uncertain MIMO systems. Both conditions involve constants associated with the nominal node dynamics and arc interconnection matrices, the uncertainty bounds, and the maximum connectivity degree of the network; they are scalable (they can be checked locally), independent of the network topology and even of the number of nodes and arcs, and hold for networks of heterogeneous MIMO systems and interconnection matrices, with heterogeneous uncertainties. The dual cases of 1-norm and ∞-norm bounds are considered. In both cases, if the systems at the nodes are diagonal, we get a necessary and sufficient condition. We apply our results to the topology-independent robust stability analysis of a case-study from cancer biology.Accepted Author ManuscriptTeam Tamas Keviczk
Optimal duration and planning of switching treatments taking drug toxicity into account: a convex optimisation approach
No full textWe consider a multi-compartment evolutionary model representing growth, mutation and migration of cancer cells, as well as the effect of drugs, and we design optimal switching targeted cancer therapies where a single drug, or suitable drug combination, is given at each time so as to minimise not only the overall tumor size over a finite horizon, but also drug-provoked side effects. The strong diagonally- dominant structure of the model allows to solve the problem via convex optimisation. We provide an algorithm that yields optimality throughout the whole treatment duration by solving the convex optimisation problem with different horizons, and show how dwell time can be enforced via heuristics. Also the optimal treatment duration can be computed via convex optimisation. The proposed approaches are applied to a model of ALK-rearranged lung carcinoma.Accepted Author ManuscriptTeam Tamas Keviczk
Behaviour and Stability of Interconnected Systems: From Biological Applications to Opinion Dynamics
No full textAn interconnected system is composed of multiple well-defined self-contained subsystems that interact among them and that together create collective behaviours. We can find many examples of interconnected systems in real life. Ranging from biological systems, such as the growth and interaction of populations in diverse and spatially distributed environments, to electric grids connecting power-generating sources, buildings and infrastructures in a country. When studying interconnected systems, a fundamental and natural question is how the properties and characteristics of the individual subsystems and the way they are connected relate to the collective behaviour of the complete system. That is the driving question of the present dissertation. Given that interconnected systems can be found in a wide variety of contexts, their representation and specific research interests can be equally varied. Because of this, it is impossible to answer the aforementioned question uniquely for all interconnected systems, and specific cases must be considered. In this dissertation, we consider two types of interconnected systems: a general class of uncertain multiple-input-multipleoutput (MIMO) systems, and agent-based opinion formation models. The investigation of uncertain MIMO interconnected systems is focused on providing topology-independent conditions for robust stability. The primary motivation for this approach is that, in real systems, it is costly or even impossible to have complete and accurate information on the network topology and subsystem parameters and dynamics. However, it is of critical interest to guarantee the system’s stability. Therefore we need stability conditions that require only partial information about the network and the subsystems to ensure the system’s stability. By studying these systems both in the time and frequency domain, we are able to provide conditions thatmeet these requirements. As for agent-based opinion formation models, we assume that each individual (or agent) in a population has an opinion about a statement. By exchanging opinions among themselves, the agents update their own internal opinion, resulting in a collective dynamic of opinion evolution. When studying these systems, the interests shifts from stability conditions, to a characterisation of the relation between the agents’ individual traits and qualitative properties of the opinion distribution in the population. Several techniques and approaches to analyse opinion formation models are proposed and applied to multiple models, one of which is new to this dissertation. The collective study of the previously mentioned interconnected systems requires the use of multiple and diverse analysis techniques and approaches, from analytical methods based on the Nyquist criterion, Bauer-Fike theorem, and Lyapunov functions to qualitative and numerical analysis techniques like histograms and binomial proportion confidence intervals. It is our hope that some of the presented results, methods, or ideas may advance the knowledge frontier in this scientific field, sparkle new research directions, and either directly or indirectly prove some value to society
CONSISTENCY OF COVID-19 VACCINATION POLICY IN EFFORTS FOR EQUALITY OF VACCINE ADMINISTRATION
No full textThe handling of the COVID-19 pandemic has entered a new stage. Various policies and regulations in an effort to handle and break thechain of the spread of COVID-19 have been implemented by the government. These efforts include the PSBB policy, Transitional PSBB, PPKM, Micro PPKM, Emergency PPKM (Java-Bali) which had been implemented, Large- Scale Social Restrictions, Provision of activities that cause crowds, implementation of health protocols, and until now has entered the stage of policy regarding the COVID-19 vaccination. The vaccination policy has been contained in the Minister of Health Regulation Number 10 of 2021 concerning the Implementation of Vaccination in the context of Combating the 2019 Corona Virus Disease (COVID-19) Pandemic. The result of this research is with reference to the Perpres and Permenkes and when viewed from the implementation variables proposed by the theory of George C. Edwards III, which states that the effectiveness of policy implementation can be seen from the four variables that support the implementation of policies, namely: Communication, Resources, Disposition, and Bureaucratic Structure. So by reviewing these variables, that the implementation of the policy of the implementation of vaccination in Indonesia has been running quite well, and there are still various obstacles found both in its implementation and in the communication of the policy, so that there are still various perspectives that cause debate with the implementation of the vaccine policy. So that the consistency of the government in efforts to provide equal distribution of vaccinations in Indonesia is still running consistently even though in some remote areas the system and reporting of data on the implementation of the vaccination is still unknown
The Collaboration in Socializing Policies of Covid-19 Pandemic
No full textRole of regional government in socializing the policy produced by SKPD of this local government is an obligation for every apparatus to socialize that policy so that the society, as the main receiver of the related polciy, will get their rights and obligations properly. The communication of regional government in this research can be discussed in more explicit regarding the flow of that communication delivery from the government to the community. The method used in this research was decriptive with qualitative approach and applied the theory of Edward III to see the stages of communication in its role in socializing the policy of the Government of South Tangerang City. Those types of socialization media were main instruments of regional government pf South Tangerang to socialize policies. There was another type of socialization namely direct media or socializing to every neighbourhood. The conclusion of this research was that the socializing of policies has been conducting through various types of media; online, printed, and electronics. The Office of Communication and Informatics of South Tangerang City played its role also in regards to socialization by cooperating with Press Councils to monitor the behaviors of media. It is suggested that th e Government of South Tangerang City keeps improving their performance in socializing policies so that these will reach the purposes of the policies produced in order to build law order society towards the policies made
Probabilistic analysis of agent-based opinion formation models
No full textWhen agent-based models are developed to capture opinion formation in large-scale populations, the opinion update equations often need to embed several complex psychological traits. The resulting models are more realistic, but also challenging to assess analytically, and hence numerical analysis techniques have an increasing importance in their study. Here, we propose the Qualitative Outcome Likelihood (QOL) analysis, a novel probabilistic analysis technique aimed to unravel behavioural patterns and properties of agent-based opinion formation models, and to characterise possible outcomes when only limited information is available. The QOL analysis reveals which qualitative categories of opinion distributions a model can produce, brings to light their relation to model features such as initial conditions, agent parameters and underlying digraph, and allows us to compare the behaviour of different opinion formation models. We exemplify the proposed technique by applying it to four opinion formation models: the classical Friedkin-Johnsen model and Bounded Confidence model, as well as the recently proposed Backfire Effect and Biased Assimilation model and Classification-based model.Team Tamas Keviczk
Classification-Based Opinion Formation Model Embedding Agents’ Psychological Traits
No full textWe propose an agent-based opinion formation model characterised by a two-fold novelty. First, we realistically assume that each agent cannot measure the opinion of its neighbours about a given statement with infinite resolution and accuracy, and hence it can only perceive the opinion of others as agreeing much more, or more, or comparably, or less, or much less (than itself) with that given statement. This leads to a classification-based rule for opinion update. Second, we consider three complementary agent traits suggested by significant sociological and psychological research: conformism, radicalism and stubbornness. We rely on World Values Survey data to show that the proposed model has the potential to predict the evolution of opinions in real life: the classification-based approach and complementary agent traits produce rich collective behaviours, such as polarisation, consensus, and clustering, which can yield predicted opinions similar to survey results.Team Tamas Keviczk
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