An Analytical Approach to Optimizing The Utility of ESP Games

•

2 recomendaciones•554 vistas

In this paper, we propose an analytical model for computing the utility of ESP games, i.e., the throughput rate of appropriate labels for given images. The model targets generalized games, where the number of players, the consensus threshold, and the stopping condition are variable. Via extensive simulations, we show that our model can accurately predict the stopping condition that will yield the optimal utility of an ESP game under a specific game setting. A service provider can therefore utilize the model to ensure that the hosted ESP games produce high-quality labels efficiently, given that the number of players willing to invest time and effort in the game is limited.

Tecnología Entretenimiento y humor Salud y medicina

Chien-Wei Lin, Kuan-Ta Chen, Ling-Jyh Chen
Academia Sinica

Irwin King, and Jimmy Lee
The Chinese University of Hong Kong

Motivation
ESP games annotate images on the web.

Can we optimize the goodput of the game?

Service provider can utilize our model to improve
their system.

Idea
Model the performance of the game and optimize it.

A more generalized ESP game.
The number of players can be more than 2.

The consensus threshold can be any positive integer, but not
larger than the number of players.

The stopping condition can be more than 1.

3 Collaborative Quantity
Efficiency
the rate that labels are matched.

Quality
the proportion of good labels among all matched labels.

Utility
the throughput rate of good labels.
Utility = Efficiency × Quality

Assumption of Model
Round-based play
Make only one guess in each round.
Independent guess
Current guess is not affected by previous guesses.
Good and bad words
The sizes of good and bad words are both limited.
Players will do their best to guess good words.
Uniform guess
The guess is made uniformly.

Parameters in the Model
Number of players
denoted as n.
Consensus threshold
denoted as m.
Size of good vocabulary
denoted as vgood
.
Probability of guessing good words
denoted as probgood
.
Stopping condition is our main variable.

Model Validation
Trade-off between Validate the model by
efficiency & quality. simulations.

Optimal Stopping Conditions
Optimal stopping condition changes under different
parameter settings.

Benefit of Optimization
We provide twice as much utility as a non-optimized
game.

Contribution
Model for generalized games.

Propose an optimal termination condition to optimize
the system.

Game providers can utilize our model to maximize the
outcome of games.

Más contenido relacionado

Similar a An Analytical Approach to Optimizing The Utility of ESP Games

Games have been leveraging AI since the 1950s, when people built a rules-based AI engine that played tic-tac-toe. With technological advances over the years, AI has become increasingly popular and widely used in the gaming industry. The typical characteristics of games and game development makes them an ideal playground for practicing and implementing AI techniques, especially deep learning and reinforcement learning. Most games are well scoped; it is relatively easy to generate and use the data; and states/actions/rewards are relatively clear. In this talk, I will show a couple of use cases where ML/AI helps in-game development and enhances player experience. Examples include AI agents playing game and services that provide personalized experience to players.

Long Lin at AI Frontiers : AI in Gaming

AI Frontiers

Posi/nega reinforcement musical project

ssuser8fc9d71

SeemakurtyEtAlHCOMP2010

Jonathan Chu

To satisfy players' gaming experience, there is a strong need for a technique that can measure a game's quality systemically, efficiently, and reliably. In this paper, we propose to use paired comparisons and probabilistic choice models to quantify online games's QoE under various network situations. The advantages of our methodology over the traditional MOS ratings are 1) the rating procedure is simpler thus less burden is on experiment participants, 2) it derives ratio-scale scores, and 3) it enables systematic verification of participants' inputs. As a demonstration, we apply our methodology to evaluate three popular FPS (first-person-shooter) games, namely, Alien Arena (Alien), Halo, and Unreal Tournament (UT), and investigate their network robustness. The results indicate that Halo performs the best in terms of their network robustness against packet delay and loss. However, if we take the degree of the games' sophistication into account, we consider that the robustness of UT against downlink delays should able be improved. We also show that our methodology can be a helpful tool for making decisions about design alternatives, such how dead reckoning algorithms and time synchronization mechanisms should be implemented.

Online Game QoE Evaluation using Paired Comparisons

Academia Sinica

LAFS Game Design 1 - Structural Elements

David Mullich

Cooperative game model based sentiment analysis of product reviews.pptx

UsamaHassan90

LAFS Game Design 9 - Balancing

David Mullich

Mining the Madden Experience

Ben Weber

Have players committed to spending money in free-to-play games before they even install the game? Are you wasting time trying to get more people to spend money in your game? What monetization metrics should you be focusing on improving instead? In this GDC 2019 talk, Tammy Levy uses several case studies from live Kongregate games to explore how and why some player behaviors are easier and more rewarding to change, while others have a nearly unbreakable ceiling.

Tammy Levy at GDC 2019: Nature vs. Nurture: Unpacking Player Spending in F2P ...

Kongregate

Have players committed to spending money in free-to-play games before they even install the game? Are you wasting time trying to get more people to spend money in your game? What monetization metrics should you be focusing on improving instead? In this talk, Tammy uses several case studies from live Kongregate games to explore how and why some player behaviors are easier and more rewarding to change, while others have a nearly unbreakable ceiling.

GDC Talk - Nature vs Nurture: Unpacking Player Spending in F2P Games

Tamara (Tammy) Levy

Final_Presentation

Joe Totherow

Slide 1

butest

Work presented at EVO* 2022 conference as a Late-Breaking Abstract. ABSTRACT: A fighting game is a 1 vs 1 confrontation in which the players (characters) try to reduce the health bar of the opponent by punching or kicking him. Players can normally also do special movements, which are more complicated to execute, but which can reduce the rival's health in a higher amount. Articial Intelligence (AI) engines in this type of games have a big handicap in comparison to other genres, since they must yield very fast decisions, given the highly dynamic rival movements. In this paper, we have created a Non-Player Character (or bot) aiming to beat to any opponent (being a human player or another NPC). To this end, we have started from a competitive bot (from the state of the art) having as AI engine a set of rules, depending on some conditions, threshold and weights. Then we have optimized these values by means of different schemes of Genetic Algorithms (GAs).

Study on Genetic Algorithm Approaches to Improve an Autonomous Agent for a Fi...

Antonio Mora

Showcase of My Research on Games & AI "till the end of Oct. 2014"

Mohammad Shaker

A Primer On Play: How to use Games for Learning and Results

Sharon Boller

LAFS Game Mechanics - Balancing

David Mullich

Module_3_1.pptx

DrKalaavathiBuvanesh

J017265860

IOSR Journals

IOSR Journal of Computer Engineering (IOSR-JCE) is a double blind peer reviewed International Journal that provides rapid publication (within a month) of articles in all areas of computer engineering and its applications. The journal welcomes publications of high quality papers on theoretical developments and practical applications in computer technology. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.

Database Applications in Analyzing Agents

iosrjce

Lajvdesignmönster prolog 2016

Staffan Björk

Similar a An Analytical Approach to Optimizing The Utility of ESP Games (20)

Long Lin at AI Frontiers : AI in Gaming

Posi/nega reinforcement musical project

SeemakurtyEtAlHCOMP2010

Online Game QoE Evaluation using Paired Comparisons

LAFS Game Design 1 - Structural Elements

Cooperative game model based sentiment analysis of product reviews.pptx

LAFS Game Design 9 - Balancing

Mining the Madden Experience

Tammy Levy at GDC 2019: Nature vs. Nurture: Unpacking Player Spending in F2P ...

GDC Talk - Nature vs Nurture: Unpacking Player Spending in F2P Games

Final_Presentation

Slide 1

Study on Genetic Algorithm Approaches to Improve an Autonomous Agent for a Fi...

Showcase of My Research on Games & AI "till the end of Oct. 2014"

A Primer On Play: How to use Games for Learning and Results

LAFS Game Mechanics - Balancing

Module_3_1.pptx

J017265860

Database Applications in Analyzing Agents

Lajvdesignmönster prolog 2016

Más de Academia Sinica

In this paper, we propose to use a continuous authentication approach to detect the in-situ identity fraud incidents, which occur when the attackers use the same devices and IP addresses as the victims. Using Facebook as a case study, we show that it is possible to detect such incidents by analyzing SNS users’ browsing behavior. Our experiment results demonstrate that the approach can achieve reasonable accuracy given a few minutes of observation time.

Detecting In-Situ Identity Fraud on Social Network Services: A Case Study on ...

Academia Sinica

Cloud gaming has become increasingly more popular in the academia and the industry, evident by the large numbers of related research papers and startup companies. Some public cloud gaming services have attracted hundreds of thousands subscribers, demonstrating the initial success of cloud gaming services. Pushing the cloud gaming services forward, however, faces various challenges, which open up many research opportunities. In this paper, we share our views on the future cloud gaming research, and point out several research problems spanning over a wide spectrum of different directions: including distributed systems, video codecs, virtualization, human-computer interaction, quality of experience, resource allocation, and dynamic adaptation. Solving these research problems will allow service providers to offer high-quality cloud gaming services yet remain profitable, which in turn results in even more successful cloud gaming eco-environment. In addition, we believe there will be many more novel ideas to capitalize the abundant and elastic cloud resources for better gaming experience, and we will see these ideas and associated challenges in the years to come.

Cloud Gaming Onward: Research Opportunities and Outlook

Academia Sinica

We conduct real experiments to quantify user satisfaction in mobile cloud games using a real cloud gaming system built on the open-sourced GamingAnywhere. We share our experiences in porting GamingAnywhere client to Android OS and perform extensive experiments on both the mobile and desktop clients. The experiment results reveal several new insights: (1) gamers are more satisfied with the graphics quality on mobile devices, while they are more satisfied with the control quality on desktops, (2) the bitrate, frame rate, and network delay significantly affect the graphics and smoothness quality, and (3) the control quality only depends on the client type (mobile versus desktop). To the best of our knowledge, such user studies have never been done in the literature.

Quantifying User Satisfaction in Mobile Cloud Games

Academia Sinica

量化「樂趣」－以心理生理量測探究數位娛樂商品之市場價值

Academia Sinica

Although online games have been an important Internet activity today, players inevitably suffer from lag from time to time due to the Internet’s non-QoS-guaranteed architecture. Here by lag we refer to the phenomena when a game fails to respond to user commands or update the screen in a timely fashion due to long system processing or network delays. Currently, little is known about how game players feel about lag and how they react when encountering lag during game play. In this paper, we present an Internet survey that is designed to understand the following questions: 1) How do players perceive lag, 2) what do players think of the causes of lag, and 3) how do players react to lag. Our results show that game players often struggle with lag, because they are unable to identify the root cause. Therefore, they have to try any combination of possible solutions found on the Internet, blame game companies, or learn to cope. These findings manifest a strong demand for an automatic diagnostic tool that can identify the root cause of lag for gamers.

On The Battle between Online Gamers and Lags

Academia Sinica

The thin-client model is considered a perfect fit for online gaming. As modern games normally require tremendous computing and rendering power at the game client, deploying games with such models can transfer the burden of hardware upgrades from players to game operators. As a result, there are a variety of solutions proposed for thin-client gaming today. However, little is known about the performance of such thinclient systems in different scenarios, and there is no systematic means yet to conduct such analysis. In this paper, we propose a methodology for quantifying the performance of thin-clients on gaming, even for thin-clients which are close-sourced. Taking a classic game, Ms. Pac-Man, and three popular thin-clients, LogMeIn, TeamViewer, and UltraVNC, as examples, we perform a demonstration study and determine that 1) display frame rate and frame distortion are both critical to gaming; and 2) different thin-client implementations may have very different levels of robustness against network impairments. Generally, LogMeIn performs best when network conditions are reasonably good, while TeamViewer and UltraVNC are the better choices under certain network conditions.

Understanding The Performance of Thin-Client Gaming

Academia Sinica

Despite all the efforts devoted to improving the QoS of networked multimedia services, the baseline for such improvements has yet to be defined. In other words, although it is well recognized that better network conditions generally yield better service quality, the exact minimum level of network QoS required to ensure satisfactory user experience remains an open question. In this paper, we propose a general, cheat-proof framework that enables researchers to systematically quantify the minimum QoS needs for real-time networked multimedia services. Our framework has two major features: 1) it measures the quality of a service that users find intolerable by intuitive responses and therefore reduces the burden on experiment participants; and 2) it is cheat-proof because it supports systematic verification of the participants' inputs. Via a pilot study involving 38 participants, we verify the efficacy of our framework by proving that even inexperienced participants can easily produce consistent judgments. In addition, by cross-application and cross-service comparative analysis, we demonstrate the usefulness of the derived QoS thresholds. Such knowledge will serve important reference in the evaluation of competitive applications, application recommendation, network planning, and resource arbitration.

Quantifying QoS Requirements of Network Services: A Cheat-Proof Framework

Academia Sinica

Cloud gaming is a promising application of the rapidly expanding cloud computing infrastructure. Existing cloud gaming systems, however, are closed-source with proprietary protocols, which raises the bars to setting up testbeds for experiencing cloud games. In this paper, we present a complete cloud gaming system, called GamingAnywhere, which is to the best of our knowledge the first open cloud gaming system. In addition to its openness, we design GamingAnywhere for high extensibility, portability, and reconfigurability. We implement GamingAnywhere on Windows, Linux, and OS X, while its client can be readily ported to other OS's, including iOS and Android. We conduct extensive experiments to evaluate the performance of GamingAnywhere, and compare it against two well-known cloud gaming systems: OnLive and StreamMyGame. Our experimental results indicate that GamingAnywhere is efficient and provides high responsiveness and video quality. For example, GamingAnywhere yields a per-frame processing delay of 34 ms, which is 3+ and 10+ times shorter than OnLive and StreamMyGame, respectively. Our experiments also reveal that all these performance gains are achieved without the expense of higher network loads; in fact, GamingAnywhere incurs less network traffic. The proposed GamingAnywhere can be employed by the researchers, game developers, service providers, and end users for setting up cloud gaming testbeds, which, we believe, will stimulate more research innovations on cloud gaming systems. GamingAnywhere is now publicly available at http://gaminganywhere.org.

GamingAnywhere: An Open Cloud Gaming System

Academia Sinica

Cloud gaming makes any computer game playable on a thin client without worrying the hardware requirements as before. It frees players from the need to constantly upgrade their computers as they can now play games that host on remote servers with a broadband Internet connection and a thin client. However, cloud games are intrinsically more susceptible to latency than online games because game graphics are rendered on server nodes and thin clients do not possess game state information that is required by delay compensation techniques. In this paper, we investigate how the response latency would affect users' experience when playing games on clouds and how the impact of latency on players' experience varies across different games. We show that not all games are equally friendly to cloud gaming. The same degree of latency may have very different impact on a game's quality of experience depending on the game's real-time strictness. We thus develop a model that can predict a game's real-time strictness based on the rate of players' inputs and game screen dynamics. The model can be used to enhance players' experience in cloud gaming and optimize data center operation cost simultaneously.

Are All Games Equally Cloud-Gaming-Friendly? An Electromyographic Approach

Academia Sinica

Online gaming has now become an extremely competitive business. As there are so many game titles released every month, gamers have become more difficult to please and fickle in affection. Therefore, it would be beneficial if we can forecast how addictive a game is before publishing it on the market. The capability of game addictiveness forecasting will enable developers to continuously adjust the game design and enable publishers to assess the potential market value in a game’s early development stages. In this paper, we propose to forecast a game’s addictiveness based on players’ emotion when they are exploring the game. Based on the account activity traces of 11 commercial online games, we develop a forecasting model that takes electromyographic measures of players as the input and outputs the addictiveness index of a game. We hope that with our methodology, the game industry could save hopeless investment and target more accurately to provide more entertaining experience.

Forecasting Online Game Addictiveness

Academia Sinica

Identifying MMORPG Bots: A Traffic Analysis Approach

Academia Sinica

Peer-to-peer relaying is commonly used in realtime applications to cope with NAT and firewall restrictions and provide better quality network paths. As relaying is not natively supported by the Internet, it is usually implemented at the application layer. Also, in a modern operating system, the processor is shared, so the receive-process-forward process for each relay packet may take a considerable amount of time if the host is busy handling some other tasks. Thus, if we happen to select a loaded relay node, the relaying may introduce significant delays to the packet transmission time and even degrade the application performance. In this work, based on an extensive set of Internet traces, we pursue an understanding of the processing delays incurred at relay nodes and their impact on the application performance. Our contribution is three-fold: 1) we propose a methodology for measuring the processing delays at any relay node on the Internet; 2) we characterize the workload patterns of a variety of Internet relay nodes; and 3) we show that, serious VoIP quality degradation may occur due to relay processing, thus we have to monitor the processing delays of a relay node continuously to prevent the application performance from being degraded.

Toward an Understanding of the Processing Delay of Peer-to-Peer Relay Nodes

Academia Sinica

Improving Reliability of Web 2.0-based Rating Systems Using Per-user Trustiness

Academia Sinica

For current Web 2.0 services, manual examination of user uploaded content is normally required to ensure its legitimacy and appropriateness, which is a substantial burden to service providers. To reduce labor costs and the delays caused by content censoring, social moderation has been proposed as a front-line mechanism, whereby user moderators are encouraged to examine content before system moderation is required. Given the immerse amount of new content added to the Web each day, there is a need for automation schemes to facilitate rear system moderation. This kind of mechanism is expected to automatically summarize reports from user moderators and ban misbehaving users or remove inappropriate content whenever possible. However, the accuracy of such schemes may be reduced by collusion attacks, where some work together to mislead the automatic summarization in order to obtain shared benefits. In this paper, we propose a collusion-resistant automation scheme for social moderation systems. Because some user moderators may collude and dishonestly claim that a user misbehaves, our scheme detects whether an accusation from a user moderator is fair or malicious based on the structure of mutual accusations of all users in the system. Through simulations we show that collusion attacks are likely to succeed if an intuitive countbased automation scheme is used. The proposed scheme, which is based on the community structure of the user accusation graph, achieves a decent performance in most scenarios.

A Collusion-Resistant Automation Scheme for Social Moderation Systems

Academia Sinica

While psychologists analyze network game-playing behavior in terms of players’ social interaction and experience, understanding user behavior is equally important to network researchers, because how users act determines how well network systems, such as online games, perform. To gain a better understanding of patterns of player interaction and their implications for game design, we analyze a 1, 356-millionpacket trace of ShenZhou Online, a mid-sized commercial MMORPG. This work is dedicated to draw out hints and implications of player interaction patterns, which is inferred from network-level traces, for online games. We find that the dispersion of players in a virtual world is heavy-tailed, which implies that static and fixed-size partitioning of game worlds is inadequate. Neighbors and teammates tend to be closer to each other in network topology. This property is an advantage, because message delivery between the hosts of interacting players can be faster than between those of unrelated players. In addition, the property can make game playing fairer, since interacting players tend to have similar latencies to their servers. We also find that participants who have a higher degree of social interaction tend to play much longer, and players who are closer in network topology tend to team up for longer periods. This suggests that game designers could increase the “stickiness” of games by encouraging, or even forcing, team playing.

Network Game Design: Hints and Implications of Player Interaction

Academia Sinica

With the emergence of active worms, the targets of attacks have been moved from well-known Internet servers to generic Internet hosts, and since the rate at which patches can be applied is always much slower than the spread of a worm, an Internet worm can usually attack or infect millions of hosts in a short time. It is difficult to eliminate Internet attacks globally; thus, protecting client networks from being attacked or infected is a relatively critical issue. In this paper, we propose a method that protects client networks from being attacked by people who try to scan, attack, or infect hosts in local networks via unpatched vulnerabilities. Based on the symmetry of network traffic in both temporal and spatial domains, a bitmap filter is installed at the entry point of a client network to filter out possible attack traffic. Our evaluation shows that with a small amount of memory (less than 1 megabyte), more than 95% of attack traffic can be filtered out in a small- or medium-scale client network.

Mitigating Active Attacks Towards Client Networks Using the Bitmap Filter

Academia Sinica

Online gaming has become increasingly popular in recent years. Currently, the most common business model of online gaming is based on monthly subscription fees that game players pay to obtain credits, which allow them to start or continue a journey in the game’s virtual world. Therefore, from the perspective of game operators, predicting how many players will join a game and how long they will stay in the game is important since these two factors dominate their revenue. This paper represents a pilot study of the predictability of online gamers’ subscription time. Specifically, we study the gameplay hours of online gamers and investigate whether strong patterns are embedded in their game hours. Our ultimate goal is to provide a prediction model of online gamers, which takes a player’s game hours as the input and predicts whether the player will leave in the near future. Our study is based on real-life traces collected from World of Warcraft, a famous MMORPG (Massively Multiplayer Online Role- Playing Game). The traces contain the gameplay histories of 34, 524 players during a two-year period. We believe that our study would be useful for building a prediction model of players’ future game hours and unsubscription decisions; i.e., decisions not to renew subscriptions. .

An Analysis of WoW Players’ Game Hours

Academia Sinica

Online gaming is one of the most profitable businesses on the Internet. Of all the genres of online games, MMORPGs (Massive Multiplayer Online Role Playing Games) have become the most popular among network gamers, and now attract millions of users who play in an evolving virtual world simultaneously over the Internet. To gain a better understanding of game traffic and contribute to the economic well-being of the Internet, we analyze a 1, 356-million-packet trace from a sizeable MMORPG called ShenZhou Online. This work is, as far as we know, the first formal analysis of MMORPG server traces. We find that MMORPG and FPS (First-Person Shooting) games are similar in that they both generate small packets and require low bandwidths. In practice, the bandwidth requirement of MMORPGs is the lower of the two due to less real-time game playing. More distinctive features are the strong periodicity, temporal locality, irregularity, and self-similarity observed in MMORPG traffic. The periodicity is due to a common practice in game implementation, where game state updates are accumulated within a fixed time window before transmission. The temporal locality in game traffic is largely due to the game’s nature, whereby one action leads to another. The irregularity, which is unique to MMORPG traffic, is due to the diversity of the game’s design so that the behavior of users can vary drastically, depending on the quest at hand. The self-similarity of the aggregate traffic is due to the heavy-tailed active/idle activities of individual players. Moreover, we show that the arrival of game sessions within one hour can be modelled by a Poisson model, while the duration of game sessions is heavy-tailed.

Game Traffic Analysis: An MMORPG Perspective

Academia Sinica

TCP employs a self-clocking scheme that times the sending of packets. In that, the data packets are sent in a burst when the returning acknowledgement packet5 are received. This self-clocking scheme (also known as ack-clocking) is deemed a key factor to the the burstiness of TCP traffic and the source of various performance problemshigh packet loss, long delay, and high delay jitter. Previous work has suggested contradictively the effectiveness of TCP Pacing as a remedy to alleviate the traffic burstiness. In this paper, we analyze systematically and in more robust experiments the impact of network variabilities on the behavior of TCP clocking schemes. We find that 1) aggregated pacing traffic could be burstier than aggregated ack-clocking traffic. Physical explanation and experimental simulations are provided to support this argument. 2) The round-trip time heterogeneity and flow multiplexing significantly influence the behaviors of both ack-clocking and pacing schemes. Evaluating the performance of clocking schemes without considering these effects is prone to inconsistent results. 3) Pacing outperforms ack-clocking in more realistic settings from the trufic burstiness point of view.

The Impact of Network Variabilities on TCP Clocking Schemes

Academia Sinica

This paper presents a development of our comic generation system that automatically summarizes players' actions and interactions in the virtual world. The feature of the system is that it analyzes the log and screenshots of a game, decides which events are important and memorable, and then generates comics in a fully automatic manner. Also, the interface of our system allows users to customize their own comics. As a result, users can easily use the system to share their stories and create individual comics for archival purposes or storytelling.

Automatic Storytelling in Comics: A Case Study on World of Warcraft

Academia Sinica

Más de Academia Sinica (20)

Detecting In-Situ Identity Fraud on Social Network Services: A Case Study on ...

Cloud Gaming Onward: Research Opportunities and Outlook

Quantifying User Satisfaction in Mobile Cloud Games

量化「樂趣」－以心理生理量測探究數位娛樂商品之市場價值

On The Battle between Online Gamers and Lags

Understanding The Performance of Thin-Client Gaming

Quantifying QoS Requirements of Network Services: A Cheat-Proof Framework

GamingAnywhere: An Open Cloud Gaming System

Are All Games Equally Cloud-Gaming-Friendly? An Electromyographic Approach

Forecasting Online Game Addictiveness

Identifying MMORPG Bots: A Traffic Analysis Approach

Toward an Understanding of the Processing Delay of Peer-to-Peer Relay Nodes

Improving Reliability of Web 2.0-based Rating Systems Using Per-user Trustiness

A Collusion-Resistant Automation Scheme for Social Moderation Systems

Network Game Design: Hints and Implications of Player Interaction

Mitigating Active Attacks Towards Client Networks Using the Bitmap Filter

An Analysis of WoW Players’ Game Hours

Game Traffic Analysis: An MMORPG Perspective

The Impact of Network Variabilities on TCP Clocking Schemes

Automatic Storytelling in Comics: A Case Study on World of Warcraft

Último

What are drone anti-jamming systems? The drone anti-jamming systems and anti-spoof technology protect against interference, jamming, and spoofing of the UAVs. To protect their security, countries are beginning to research drone anti-jamming systems, also known as drone strike weapons. The anti-jam and anti-spoof technology protects against interference, jamming and spoofing. A drone strike weapon is a drone attack weapon that can attack and destroy enemy drones. So what is so unique about this amazing system?

What Are The Drone Anti-jamming Systems Technology?

Antenna Manufacturer Coco

Scaling API-first – The story of a global engineering organization

Radu Cotescu

Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...

Neo4j

Heather Hedden, Senior Consultant at Enterprise Knowledge, presented “The Role of Taxonomy and Ontology in Semantic Layers” at a webinar hosted by Progress Semaphore on April 16, 2024. Taxonomies at their core enable effective tagging and retrieval of content, and combined with ontologies they extend to the management and understanding of related data. There are even greater benefits of taxonomies and ontologies to enhance your enterprise information architecture when applying them to a semantic layer. A survey by DBP-Institute found that enterprises using a semantic layer see their business outcomes improve by four times, while reducing their data and analytics costs. Extending taxonomies to a semantic layer can be a game-changing solution, allowing you to connect information silos, alleviate knowledge gaps, and derive new insights. Hedden, who specializes in taxonomy design and implementation, presented how the value of taxonomies shouldn’t reside in silos but be integrated with ontologies into a semantic layer. Learn about: - The essence and purpose of taxonomies and ontologies in information and knowledge management; - Advantages of semantic layers leveraging organizational taxonomies; and - Components and approaches to creating a semantic layer, including the integration of taxonomies and ontologies

The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf

Enterprise Knowledge

GenCyber Cyber Security Day Presentation

Michael W. Hawkins

presentation ICT roal in 21st century education

jfdjdjcjdnsjd

Boost Fertility New Invention Ups Success Rates.pdf

sudhanshuwaghmare1

Axa Assurance Maroc - Insurer Innovation Award 2024

The Digital Insurer

Sara Mae O’Brien Scott and Tatiana Baquero Cakici, Senior Consultants at Enterprise Knowledge (EK), presented “AI Fast Track to Search-Focused AI Solutions” at the Information Architecture Conference (IAC24) that took place on April 11, 2024 in Seattle, WA. In their presentation, O’Brien-Scott and Cakici focused on what Enterprise AI is, why it is important, and what it takes to empower organizations to get started on a search-based AI journey and stay on track. The presentation explored the complexities of enterprise search challenges and how IA principles can be leveraged to provide AI solutions through the use of a semantic layer. O’Brien-Scott and Cakici showcased a case study where a taxonomy, an ontology, and a knowledge graph were used to structure content at a healthcare workforce solutions organization, providing personalized content recommendations and increasing content findability. In this session, participants gained insights about the following: Most common types of AI categories and use cases; Recommended steps to design and implement taxonomies and ontologies, ensuring they evolve effectively and support the organization’s search objectives; Taxonomy and ontology design considerations and best practices; Real-world AI applications that illustrated the value of taxonomies, ontologies, and knowledge graphs; and Tools, roles, and skills to design and implement AI-powered search solutions.

IAC 2024 - IA Fast Track to Search Focused AI Solutions

Enterprise Knowledge

[2024]Digital Global Overview Report 2024 Meltwater.pdf

hans926745

A Domino Admins Adventures (Engage 2024)

Gabriella Davis

The Raspberry Pi 5 was announced on October 2023. This new version of the popular embedded device comes with a new iteration of Broadcom’s VideoCore GPU platform, and was released with a fully open source driver stack, developed by Igalia. The presentation will discuss some of the major changes required to support this new Video Core iteration, the challenges we faced in the process and the solutions we provided in order to deliver conformant OpenGL ES and Vulkan drivers. The talk will also cover the next steps for the open source Raspberry Pi 5 graphics stack. (c) Embedded Open Source Summit 2024 April 16-18, 2024 Seattle, Washington (US) https://events.linuxfoundation.org/embedded-open-source-summit/ https://eoss24.sched.com/event/1aBEx

Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...

Igalia

Three things you will take away from the session: • How to run an effective tenant-to-tenant migration • Best practices for before, during, and after migration • Tips for using migration as a springboard to prepare for Copilot in Microsoft 365 Main ideas: Migration Overview: The presentation covers the current reality of cross-tenant migrations, the triggers, phases, best practices, and benefits of a successful tenant migration Considerations: When considering a migration, it is important to consider the migration scope, performance, customization, flexibility, user-friendly interface, automation, monitoring, support, training, scalability, data integrity, data security, cost, and licensing structure Next Wave: The next wave of change includes the launch of Copilot, which requires businesses to be prepared for upcoming changes related to Copilot and the cloud, and to consolidate data and tighten governance ShareGate: ShareGate can help with pre-migration analysis, configurable migration tool, and automated, end-user driven collaborative governance

Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff

sammart93

Handwritten Text Recognition for manuscripts and early printed texts

Maria Levchenko

2024: Domino Containers - The Next Step. News from the Domino Container commu...

Martijn de Jong

Enterprise Knowledge’s Urmi Majumder, Principal Data Architecture Consultant, and Fernando Aguilar Islas, Senior Data Science Consultant, presented "Driving Behavioral Change for Information Management through Data-Driven Green Strategy" on March 27, 2024 at Enterprise Data World (EDW) in Orlando, Florida. In this presentation, Urmi and Fernando discussed a case study describing how the information management division in a large supply chain organization drove user behavior change through awareness of the carbon footprint of their duplicated and near-duplicated content, identified via advanced data analytics. Check out their presentation to gain valuable perspectives on utilizing data-driven strategies to influence positive behavioral shifts and support sustainability initiatives within your organization. In this session, participants gained answers to the following questions: - What is a Green Information Management (IM) Strategy, and why should you have one? - How can Artificial Intelligence (AI) and Machine Learning (ML) support your Green IM Strategy through content deduplication? - How can an organization use insights into their data to influence employee behavior for IM? - How can you reap additional benefits from content reduction that go beyond Green IM?

Driving Behavioral Change for Information Management through Data-Driven Gree...

Enterprise Knowledge

How to Troubleshoot Apps for the Modern Connected Worker

ThousandEyes

Data Cloud, More than a CDP by Matt Robison

Anna Loughnan Colquhoun

The 7 Things I Know About Cyber Security After 25 Years | April 2024

Rafal Los

Evaluating the top large language models.pdf

ChristopherTHyatt

An Analytical Approach to Optimizing The Utility of ESP Games

1. Chien-Wei Lin, Kuan-Ta Chen, Ling-Jyh Chen Academia Sinica Irwin King, and Jimmy Lee The Chinese University of Hong Kong

2. Motivation ESP games annotate images on the web. Can we optimize the goodput of the game? Service provider can utilize our model to improve their system.

3. Idea Model the performance of the game and optimize it. A more generalized ESP game. The number of players can be more than 2. The consensus threshold can be any positive integer, but not larger than the number of players. The stopping condition can be more than 1.

4. 3 Collaborative Quantity Efficiency the rate that labels are matched. Quality the proportion of good labels among all matched labels. Utility the throughput rate of good labels. Utility = Efficiency × Quality

5. Assumption of Model Round-based play Make only one guess in each round. Independent guess Current guess is not affected by previous guesses. Good and bad words The sizes of good and bad words are both limited. Players will do their best to guess good words. Uniform guess The guess is made uniformly.

6. Parameters in the Model Number of players denoted as n. Consensus threshold denoted as m. Size of good vocabulary denoted as vgood . Probability of guessing good words denoted as probgood . Stopping condition is our main variable.

7. Model Validation Trade-off between Validate the model by efficiency & quality. simulations.

8. Optimal Stopping Conditions Optimal stopping condition changes under different parameter settings.

9. Benefit of Optimization We provide twice as much utility as a non-optimized game.

10. Contribution Model for generalized games. Propose an optimal termination condition to optimize the system. Game providers can utilize our model to maximize the outcome of games.

11. Thank You!

An Analytical Approach to Optimizing The Utility of ESP Games

Recomendados

Recomendados

Más contenido relacionado

Similar a An Analytical Approach to Optimizing The Utility of ESP Games

Similar a An Analytical Approach to Optimizing The Utility of ESP Games (20)

Más de Academia Sinica

Más de Academia Sinica (20)

Último

Último (20)

An Analytical Approach to Optimizing The Utility of ESP Games