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Dependability Issues of Android Games: A First Look via Software Analysis

Dependability Issues of Android Games: A First Look via Soft...

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2015 IEEE Symposium on Service-Oriented System engineering

作者： Jiaojiao Fu Yangfan Zhang Yu Kang School of Computer Science Fudan University Shenzhen Key Laboratory of Rich Media Big Data Analytics and Applications The Chinese University of Hong Kong Fudan University Shanghai Shanghai CN Dept. of Computer Science & Engineering The Chinese University of Hong Kong

Smart phones have surged into popularity in recent years, which has dramatically changed the way people live, work, and have fun. Smart phone games are an important type of Smart phone applications, which attract many software developers. However, they still have not caught much research attention in the software dependability community. In this paper, we study the characteristics of over 2000 Android games with software analysis techniques, with a focus on their dependability issues. Our study suggests that a new security paradigm is of great importance to Smart phone games to prevent potential privilege abuse. Moreover, a new set of testing and debugging approaches should be specifically tailored for Smart phone games, since games are becoming more complicated. Our study also reveals that most games are not specifically optimized according to the user pattern of Smart phones. We expect these open problems can bring more attentions to the software dependability community.

关键词： Games Internet Androids Humanoid robots Libraries Java Software

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Verifiable UML artifact-centric business process models 14

Verifiable UML artifact-centric business process models

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23rd ACM International Conference on Information and knowledge Management, CIKM 2014

作者： Calvanese, Diego Montali, Marco Estañol, Montserrat Teniente, Ernest KRDB Research Centre for Knowledge and Data Free University of Bozen Bolzano Italy Dept. of Services and Systems Engineering Universitat Politècnica de Catalunya Spain

ISBN: (纸本)9781450325981

Artifact-centric business process models have gained increasing momentum recently due to their ability to combine structural (i.e., data related) with dynamical (i.e., process related) aspects. In particular, two main lines of research have been pursued so far: one tailored to business artifact modeling languages and methodologies, the other focused on the foundations for their formal verification. In this paper, we merge these two lines of research, by showing how recent theoretical decidability results for verification can be fruitfully transferred to a concrete UML-based modeling methodology. In particular, we identify additional steps in the methodology that, in significant cases, guarantee the possibility of verifying the resulting models against rich first-order temporal properties. Notably, our results can be seamlessly transferred to different languages for the specification of the artifact lifecycles.

关键词： Formal verification

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A system for answering scheduling questions based on concept association

A system for answering scheduling questions based on concept...

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2014 International Conference on Artificial Intelligence, ICAI 2014 - WORLDCOMP 2014

作者： Yoshimura, Eriko Imono, Misako Tsuchiya, Seiji Watabe, Hirokazu Dept. of Intelligent Information Engineering and Sciences Faculty of Science and Engineering Doshisha University Kyo-Tanabe Kyoto Japan Dept. of Knowledge Engineering and Computer Sciences Graduate School of Engineering Doshisha University Kyo-Tanabe Kyoto Japan

ISBN: (纸本)1601322763

In this paper, the authors propose a method for realizing one element of this goal: an intelligent system for answering questions. The questions a user asks may not necessarily incorporate words that precisely match the words used in the schedule table. Existing systems for answering scheduling questions depend on the words written into the schedule table;for this reason they are not robust against variations in word choice and have a difficult time constructing appropriate responses based on an understanding of the purpose of the question. To address these difficulties, in this paper we describe the construction of a more autonomous system for responding to scheduling questions;the system we propose is built atop a concept association system based on human associative abilities and exhibits excellent applicability. ©2014 International Conference on Artificial Intelligence, ICAI 2014 - WORLDCOMP *** right reserved.

关键词： knowledge representation

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MobyDick: An interactive multi-swimmer exergame 14

MobyDick: An interactive multi-swimmer exergame

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12th ACM Conference on Embedded Networked Sensor Systems, SenSys 2014

作者： Choi, Woohyeok Oh, Jeungmin Park, Taiwoo Kang, Seongjun Moon, Miri Lee, Uichin Hwang, Inseok Song, Junehwa Dept. of Knowledge Service Engineering KAIST Korea Republic of Dept. of Media and Information Michigan State University United States Div. of Web Science and Technology KAIST Korea Republic of IBM Research Austin United States Dept. of Computer Science KAIST Korea Republic of

ISBN: (纸本)9781450331432

The unique aquatic nature of swimming makes it very difficult to use social or technical strategies to mitigate the tediousness of monotonous exercises. In this study, we propose MobyDick, a smartphone-based multi-player exergame designed to be used while swimming, in which a team of swimmers collaborate to hunt down a virtual monster. In this paper, we present a novel, holistic game design that takes into account both human factors and technical challenges. Firstly, we perform a comparative analysis of a variety of wireless networking technologies in the aquatic environment and identify various technical constraints on wireless networking. Secondly, we develop a single phone-based inertial and barometric stroke activity recognition system to enable precise, real-time game inputs. Thirdly, we carefully devise a multi-player interaction mode viable in the underwater environment highly limiting the abilities of human communication. Finally, we prototype MobyDick on waterproof offthe- shelf Android phones, and deploy it to real swimming pool environments (n = 8). Our qualitative analysis of user interview data reveals certain unique aspects of multi-player swimming games. Copyright 2014 ACM.

关键词： Smartphones

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Trading in markets with noisy information: An evolutionary analysis

Trading in markets with noisy information: An evolutionary a...

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AAMAS 2014 Workshop on Adaptive and Learning Agents, ALA 2014

作者： Bloembergen, Daan Hennes, Daniel McBurney, Peter Tuyls, Karl Dept. of Knowledge Engineering Maastricht University Netherlands Advanced Concepts Team European Space Agency ESTEC Noordwijk Netherlands Dept. of Informatics King's College London United Kingdom Dept. of Computer Science University of Liverpool United Kingdom

ISBN: (纸本)9781943580125

We analyse the value of information in a stock market where information can be noisy and costly, using techniques from empirical game theory. Previous work has shown that the value of information follows a J-curve, where averagely informed traders perform below market average, and only insiders prevail. Here we show that both noise and cost can change this picture, in several cases leading to opposite results where insiders perform below market average, and averagely informed traders prevail. These results provide insight into the complexity of real marketplaces, and show under which conditions a broad mix of different trading strategies might be sustainable.

关键词： Game theory

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HUMAN MOTION DETECTION IN DAILY ACTIVITY TASKS USING WEARABLE SENSORS

HUMAN MOTION DETECTION IN DAILY ACTIVITY TASKS USING WEARABL...

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European Signal Processing Conference

作者： Olga Politi Iosif Mporas Vasileios Megalooikonomou Multidimensional Data and Knowledge Discovery Laboratory Dept. of Computer Engineering and Informatics University of Patras

ISBN: (纸本)9781479946037

In this article we present a human motion detection framework, based on data derived from a single tri-axial accelerometer. The framework uses a set of different pre-processing methods that produce data representations which are respectively parameterized by statistical and physical features. These features are then concatenated and classified using well-known classification algorithms for the problem of motion recognition. Experimental evaluation was carried out according to a subject-dependent scenario, meaning that the classification is performed for each subject separately using their own data and the average accuracy for all individuals is computed. The best achieved detection performance for 14 everyday human motion activities, using the USC-HAD database, was approximately 95%. The results compare favorably are competitive to the best reported performance of 93.1% for the same database.

关键词： Accelerometers Wearable sensors Movement classification Human motion recognition Daily activity

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Overview of SIGHAN 2014 Bake-off for Chinese Spelling Check

Overview of SIGHAN 2014 Bake-off for Chinese Spelling Check

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3rd CIPS-SIGHAN Joint Conference on Chinese Language Processing, CLP 2014

作者： Yu, Liang-Chih Lee, Lung-Hao Tseng, Yuen-Hsien Chen, Hsin-Hsi Dept. of Information Management Yuen-Ze University China Innovation Center for Big Data and Digital Convergence Yuen-Ze University China Information Technology Center National Taiwan Normal University Taiwan Dept. of Computer Science and Information Engineering National Taiwan University Taiwan

This paper introduces a Chinese Spelling Check campaign organized for the SIGHAN 2014 bake-off, including task description, data preparation, performance metrics, and evaluation results based on essays written by Chinese as a foreign language learners. The hope is that such evaluations can produce more advanced Chinese spelling check techniques. © 2014 CLP 2014 - 3rd CIPS-SIGHAN Joint Conference on Chinese Language Processing. All rights reserved.

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Big data Processing for Prediction of Traffic Time Based on Vertical data Arrangement

Big Data Processing for Prediction of Traffic Time Based on ...

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IEEE International Conference on Cloud Computing Technology and science (CloudCom)

作者： Seungwoo Jeon Bonghee Hong Byungsoo Kim Dept. of Electrical and Computer Engineering Pusan National University Busan South Korea Dept. of Data Science Inje University Busan South Korea

ISBN: (纸本)9781479940929

To predict future traffic conditions in each road with unique spatiotemporal pattern, it is necessary to analyze the conditions based on historical traffic data and select time series forecasting methods which can be predicting next pattern for each road according to the analyzed results. Our goal is to create a new statistical model and a new system for predictive graphs of traffic times based on big data processing tools. First, we suggest a vertical data arrangement, gathering past traffic times in the same time slot for long-term prediction. Second, we analyze each traffic pattern to select time-series variables because a time-series forecasting method for a location and a time will be selected according to the variables that are available. Third, we suggest a spatiotemporal prediction map, which is a two-dimensional map with time and location. Each element in the map represents a time-series forecasting method and an R-squared value as indicator of prediction accuracy. Finally, we introduce a new system including RHive as a middle point between R and Hadoop clusters for generating predicted data efficiently from big historical data.

关键词： Roads Forecasting Spatiotemporal phenomena Market research Accuracy Analytical models Predictive models

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Predicting Evoked Emotions in Video

Predicting Evoked Emotions in Video

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IEEE International Symposium on Multimedia

作者： Joseph G. Ellis W. Sabrina Lin Ching-Yung Lin Shih-Fu Chang Dept. of Electrical Engineering Columbia University New York Network Science and Big Data Analytics IBM Research Yorktown Heights New York

Understanding how human emotion is evoked from visual content is a task that we as people do every day, but machines have not yet mastered. In this work we address the problem of predicting the intended evoked emotion at given points within movie trailers. Movie Trailers are carefully curated to elicit distinct and specific emotional responses from viewers, and are therefore well-suited for emotion prediction. However, current emotion recognition systems struggle to bridge the "affective gap", which refers to the difficulty in modeling high-level human emotions with low-level audio and visual features. To address this problem, we propose a mid-level concept feature, which is based on detectable movie shot concepts which we believe to be tied closely to emotions. Examples of these concepts are "Fight", "Rock Music", and "Kiss". We also create 2 datasets, the first with shot-level concept annotations for learning our concept detectors, and a separate, second dataset with emotion annotations taken throughout the trailers using the two dimensional arousal and valence model for emotion annotation. We report the performance of our concept detectors, and show that by using the output of these detectors as a mid-level representation for the movie shots we are able to more accurately predict the evoked emotion throughout a trailer than by using low-level features.

关键词： Motion pictures Feature extraction Detectors Visualization Pipelines Image color analysis Histograms

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Virtual communities - the quality of the new web - A taxonomy

Virtual communities - the quality of the new web - A taxonom...

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Gemeinschaften in Neuen Medien, GeNeMe 2007 - Communities in New Media, GeNeMe 2007

作者： Hampel, Thorsten Pitner, Tomáš Steinbring, Marc Knowledge and Business Engineering Fakultät für Informatik Universität Wien Dr. Karl-Lueger-Ring 1 Germany Dept. of Computer Science Fakultät für Informatik Masaryk University Brno Tschechien Brno Czech Republic Informatik und Gesellschaft Universität Paderborn Fürstenallee 11 Paderborn Germany

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