- 标题
- 摘要
- 关键词
- 实验方案
- 产品
-
[Institution of Engineering and Technology 7th International Conference on Imaging for Crime Detection and Prevention (ICDP 2016) - Madrid, Spain (23-25 Nov. 2016)] 7th International Conference on Imaging for Crime Detection and Prevention (ICDP 2016) - Using keystroke and mouse dynamics for user identification in the online collaborative game League of Legends
摘要： The popularity of computer games has grown exponentially in the last few years. It is not uncommon to find players of online games who can dedicate their whole lives in order to became the best in their favourite game. The best players normally become celebrities and can even get sponsored to compete in game tourneys. It is accepted that each player should follow the his/her own path to increase level, so the experience reflected in the gamer's level is how proficient he/she is in the game. However, this increased popularity has also created a desire on some players to cheat (by paying others more experienced players to play for them) for the progress in the game and thus to improve their status. The companies that develop such games have very strict punishment for such breaking of the rules, but, it can be very difficult to identify when this 'account sharing' happens. This paper focus on the collection and analysis of a new online game database for continuous mouse dynamics and keystroke dynamics authentication in order to identify whether who is playing is really the account holder. Our very first results point to very interesting possibilities for security biometric-based applications in this new game analysis area.
关键词： Mouse dynamics,League of Legends,User identification,Online game,Keystroke dynamics
更新于2025-09-23 15:22:29
-
GiB: a Game theory Inspired Binarization technique for degraded document images
摘要： Document image binarization classi?es each pixel in an input document image as either foreground or background under the assumption that the document is pseudo binary in nature. However, noise introduced during acquisition or due to aging or handling of the document can make binarization a challenging task. This paper presents a novel game theory inspired binarization technique for degraded document images. A two-player, non-zero-sum, non-cooperative game is designed at the pixel level to extract the local information, which is then fed to a K-means algorithm to classify a pixel as foreground or background. We also present a preprocessing step that is performed to eliminate the intensity variation that often appears in the background and a post-processing step to re?ne the results. The method is tested on seven publicly available datasets, namely, DIBCO 2009-14 and 2016. The experimental results show that GiB (Game theory Inspired Binarization) outperforms competing state-of-the-art methods in most cases.
关键词： Document image,Binarization,DIBCO,Game theory,K-means,Two-player game
更新于2025-09-23 15:21:21
-
[IEEE 2019 IEEE 46th Photovoltaic Specialists Conference (PVSC) - Chicago, IL, USA (2019.6.16-2019.6.21)] 2019 IEEE 46th Photovoltaic Specialists Conference (PVSC) - Impact of Dynamic Shading in cSi PV Modules and Systems for Novel Applications
摘要： With the dense deployment of small cells in the next generation of mobile networks, the users from different tiers suffer from high downlink interferences. In this paper, we propose a game theoretic approach for joint co-tier and cross-tier collaboration in heterogeneous networks and analyze the relevance of the proposed scheme. First, we propose a coalition structure game with a weighted Owen value as imputation, where the small-cell base stations (SBSs) and their connecting macrocell user equipments (MUEs) form a priori union. We prove that the proposed framework optimizes the users profit. As an additional global benefit, the SBSs are encouraged to host the harmed public users in their vicinity. Second, we propose a canonical game with a weighted solidarity value as imputation to allow cooperation among SBSs and MUEs when they fail to connect to nearby SBSs. We prove that the weak players are protected in this scheme and that a high degree of fairness is provided in the game. We compare through extensive simulations the proposed frameworks with state-of-the-art resource allocation solutions, access modes, and legacy game-theoretic approaches. We show that the proposed framework obtains the best performances for the MUEs and small-cells user equipments in terms of throughput and fairness. Throughput gain is in order of 40% even reaching 50% for both types of users.
关键词： game theory,interference mitigation,resource allocation,heterogeneous networks,cooperative games,Small-cells
更新于2025-09-23 15:21:01
-
[IEEE 2019 Photonics & Electromagnetics Research Symposium - Fall (PIERS - Fall) - Xiamen, China (2019.12.17-2019.12.20)] 2019 Photonics & Electromagnetics Research Symposium - Fall (PIERS - Fall) - Femtosecond Laser-inscribed Multimode Fiber Bragg Gratings
摘要： In open and dynamic multiagent systems (MASs), agents often need to rely on resources or services provided by other agents to accomplish their goals. During this process, agents are exposed to the risk of being exploited by others. These risks, if not mitigated, can cause serious breakdowns in the operation of MASs and threaten their long-term wellbeing. To protect agents from the uncertainty in the behavior of their interaction partners, the age-old mechanism of trust between human beings is re-contexted into MASs. The basic idea is to let agents self-police the MAS by rating each other on the basis of their observed behavior and basing future interaction decisions on such information. Over the past decade, a large number of trust management models were proposed. However, there is a lack of research effort in several key areas, which are critical to the success of trust management in MASs where human beings and agents coexist. The purpose of this paper is to give an overview of existing research in trust management in MASs. We analyze existing trust models from a game theoretic perspective to highlight the special implications of including human beings in an MAS, and propose a possible research agenda to advance the state of the art in this field.
关键词： multi-agent systems,game theory,Trust,reputation
更新于2025-09-23 15:21:01
-
Benefit-based cost allocation for residentially distributed photovoltaic systems in China: A cooperative game theory approach
摘要： Distributed photovoltaic (PV) systems have constantly been the key to achieve a low-carbon economy in China. However, the development of Chinese distributed PV systems has failed to meet expectations because of their irrational profit and cost allocations. In this study, the methodology for calculating the levelized cost of energy (LCOE) for PV is thoroughly discussed to address this issue. A mixed-integer linear programming model is built to determine the optimal system operation strategy with a benefit analysis. An externality-corrected mathematical model based on Shapley value is established to allocate the cost of distributed PV systems in 15 Chinese cities between the government, utility grid and residents. Results show that (i) an inverse relationship exists between the LCOEs and solar radiation levels; (ii) the government and residents gain extra benefits from the utility grid through net metering policies, and the utility grid should be the highly subsidized participant; (iii) the percentage of cost assigned to the utility grid and government should increase with the expansion of battery bank to weaken the impact of demand response on increasing theoretical subsidies; and (iv) apart from the LCOE, the local residential electricity prices remarkably impact the subsidy calculation results.
关键词： Shapley value,cooperative game theory,mixed-integer linear programming,levelized cost of energy,cost allocation,solar photovoltaic
更新于2025-09-23 15:21:01
-
[IEEE 2019 Compound Semiconductor Week (CSW) - Nara, Japan (2019.5.19-2019.5.23)] 2019 Compound Semiconductor Week (CSW) - Atomically-Thin Photovoltaics: Progress, Promise and Interface Physics
摘要： In open and dynamic multiagent systems (MASs), agents often need to rely on resources or services provided by other agents to accomplish their goals. During this process, agents are exposed to the risk of being exploited by others. These risks, if not mitigated, can cause serious breakdowns in the operation of MASs and threaten their long-term wellbeing. To protect agents from the uncertainty in the behavior of their interaction partners, the age-old mechanism of trust between human beings is re-contexted into MASs. The basic idea is to let agents self-police the MAS by rating each other on the basis of their observed behavior and basing future interaction decisions on such information. Over the past decade, a large number of trust management models were proposed. However, there is a lack of research effort in several key areas, which are critical to the success of trust management in MASs where human beings and agents coexist. The purpose of this paper is to give an overview of existing research in trust management in MASs. We analyze existing trust models from a game theoretic perspective to highlight the special implications of including human beings in an MAS, and propose a possible research agenda to advance the state of the art in this field.
关键词： multi-agent systems,Trust,reputation,game theory
更新于2025-09-23 15:19:57
-
[IEEE 2019 IEEE 46th Photovoltaic Specialists Conference (PVSC) - Chicago, IL, USA (2019.6.16-2019.6.21)] 2019 IEEE 46th Photovoltaic Specialists Conference (PVSC) - Using Physics Models to Analyze Aggregate Inline Measurement Data
摘要： A dilemma in cloud radio access networks (C-RANs) is how to keep a balance between the performance and the ef?ciency of centralized processing. To solve this problem, the joint design of training-based channel estimation and cluster formation are studied in this paper. To provide ef?cient cooperation strategies in C-RANs, individual C-RAN clusters are formed by the remote radio heads (RRHs), and a data-assisted channel estimation scheme is studied, which can reduce the redundant cost of training sequences. To ensure the performance of channel estimation and data transmissions, the cluster formation and the channel estimation are optimized jointly. In particular, an iterative training-based channel estimation scheme is designed by using convex optimization and the Broyden–Fletcher–Goldfarb–Shanno algorithm jointly. Moreover, a utility function of cluster formation can be established based on the estimates and the mean squared error of our proposed channel estimation algorithm, and the cluster formation of RRHs can be formulated as a coalitional formation game. Furthermore, a sub-optimal algorithm is also proposed to reduce the computational complexity. Finally, the simulation results are shown to evaluate the performance of our proposed algorithms.
关键词： optimization,Cloud-radio access networks,cluster formation,channel estimation,game theory
更新于2025-09-23 15:19:57
-
Catalyzing community-led solar development by enabling cooperative behavior: Insights from an experimental game in the United States
摘要： This work presents an empirically tested method to initiate community solar development by enabling cooperative behavior among groups of stakeholders. Shared solar represents only a fraction of distributed photovoltaic generation despite advantages over other distributed solar models. A framework that addresses the inherent characteristics of community solar would increase development. In this work, a non-cooperative game modeled stakeholders’ codependent decision between models of solar development, and it served as the control experiment with unfacilitated communication. An experimental “catalyst” for onboarding community solar tested the influence of facilitated cooperation on project development. In the experiment, stakeholders were engaged through demonstrated practices that lead to cooperative behavior. Interviews conducted with project leads from subsequent community-led solar projects qualitatively assessed the catalyst, and a cooperative game model measured the influence of the catalyst quantitatively. The control game revealed a rational agent preferred a low-utility independent-solar strategy to a higher-utility cooperative-solar strategy in the locale (20% difference in welfare). This result emphasized the need for an intra-active force (i.e., the proposed catalyst) to reach the most economically efficient outcomes. Efforts to facilitate cooperative behavior catalyzed two community-led solar projects in a locale previously void of community solar. The experimental catalyst was the dominant player for onboarding community solar, responsible for 53% of the effective onboarding in the region. Additionally, the catalyzed solar projects experienced an increase in onboarding effectiveness by a factor of two-to-three. The community solar catalyst can be applied in other locales to overcome barriers inhibiting shared solar development.
关键词： Solar development,Community solar,Game theory,Common pool resource,Cooperative behavior
更新于2025-09-23 15:19:57
-
[IEEE 2019 21st International Conference on Transparent Optical Networks (ICTON) - Angers, France (2019.7.9-2019.7.13)] 2019 21st International Conference on Transparent Optical Networks (ICTON) - Advances in Fractal Analysis of the Biological Tissues Images Obtained by Using Laser Scanning Microscopy
摘要： Multiuser transmission with shared spectrum is investigated in the presence of energy harvesting. For each user, the data generation, the harvested energy arrival, and the channel state variation are, respectively, considered as stochastic processes. Each user aims to maximize its own average throughput. Accordingly, a stochastic game is formulated at ?rst. Next, we analyze the stochastic game in in?nite-stage and ?nite-stage scenarios, respectively. On the basis of theoretical studies, an iterated distributive algorithm with solving a linear problem in each iteration is designed for the in?nite case. For the ?nite case, two distributed algorithms named CVPBI and GoPGA are proposed. Finally, the effectiveness of the proposed algorithms is demonstrated by simulations.
关键词： multiuser communication,Energy harvesting,stochastic game,spectrum sharing
更新于2025-09-23 15:19:57
-
[IEEE 2019 IEEE 46th Photovoltaic Specialists Conference (PVSC) - Chicago, IL, USA (2019.6.16-2019.6.21)] 2019 IEEE 46th Photovoltaic Specialists Conference (PVSC) - Degradation observation of 9 year old PV modules in Bangalore, India
摘要： We study battery filling policies with hard deadlines when the supply of energy can be modulated. This occurs for example with an electric plug-in vehicle using an adjustable electricity service for charging; such a service is offered in some countries as a means to provide flexibility to operators, and typically involves non-scheduled service reductions combined with a service guarantee that constrains these reductions. The problem for the battery user is to determine a charging policy, which we call a “consumption policy,” that meets a given “full battery” deadline while minimizing the energy cost (i.e., the bill paid to the electricity provider). As the charging efficiency is diminishing with respect to consumption, it is not optimal to charge as much and as early as possible. On the other hand service reductions cannot be predicted but it is possible to gain some information on the worst case reduction by analyzing past reductions. In this context, the computation of a causal consumption policy is an open problem. In this paper we consider a battery user interested in charging her battery while minimizing the worst case cost, where the total cost is a sum of two terms that reflect (i) the total energy consumption and (ii) the distance to a full battery at the deadline. We prove that there exists a causal consumption policy that minimizes the worst-case cost of the user. We find that the policy is threshold-based and give an efficient method to explicitly compute it at any time based solely on knowledge of past reductions, of the service guarantees and on the current distance to completion. Our method is based on the use of service curves and game theory.
关键词： Adjustable supply,repeated game,worst-case cost,service curves,battery management
更新于2025-09-23 15:19:57