Proceedings of the Australasian Computer Science Week Multiconference最新文献

{"title":"Cybersecurity Indexes for eHealth","authors":"W. Burke, Taiwo Oseni, A. Jolfaei, I. Gondal","doi":"10.1145/3290688.3290721","DOIUrl":"https://doi.org/10.1145/3290688.3290721","url":null,"abstract":"This study aimed to explore the cybersecurity landscape to identify cybersecurity indexes that may be relevant to the health industry. While the healthcare sector poses security concerns regarding patients' records, cybersecurity in the healthcare sector has not been given much consideration. Cybersecurity indexes are a survey that measures security preparedness and capabilities of a country or organisation. An index is made up of a series of questions, often broken into categories. These categories target areas such as law, technical responses, organisational threats, capacity building and social context. Some indexes provide ranking capabilities against other countries, while others directly evaluate what it means to be cyber-ready. In this paper, cybersecurity indexes were reviewed regarding the level of assessment (country level/organisation level), and their consideration of the wider community, the health sector, and their appearance in academic literature. Results from this study found that there was no consistency between the indexes investigated, with each index having a diverse number of categories and indicators. Some indexes resulted in a score; others did not rank their results in league tables. Evidence to calculate the level of adherence was often obtained from secondary sources, with four of the country indexes using both primary and secondary sources. Eight (out of fourteen) indexes measured wider community indicators and only one index specifically measured eHealth services. Findings from the initial systematic review suggest that hardly any peer-reviewed journal articles exist on the topic of cybersecurity indexes. The paper concludes that most of the indexes studied are broad and do not consider the eHealth sector specifically. Each index relies on a different process to gauge cybersecurity, with little to no academic rigour. It is expected that this research will contribute to the current (limited) literature addressing cybersecurity indexes.","PeriodicalId":297760,"journal":{"name":"Proceedings of the Australasian Computer Science Week Multiconference","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128050782","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Team Based Player Versus Player Recommender Systems Framework For Player Improvement","authors":"Rishabh Joshi, Varun Gupta, Xinyue Li, Yue Cui, Ziwen Wang, Yaser Norouzzadeh Ravari, D. Klabjan, R. Sifa, Azita Parsaeian, Anders Drachen, Simon Demediuk","doi":"10.1145/3290688.3290750","DOIUrl":"https://doi.org/10.1145/3290688.3290750","url":null,"abstract":"Modern Massively Multi-player Online Games (MMOGs) have grown to become extremely complex in terms of the usable resources in the games, resulting in an increase in the amount of data collected by tracking the in-game activities of players. This has opened the door for researchers to come up with novel methods to utilize this data to improve and personalize the user experience. In this paper, a novel but flexible framework towards building a team based recommender system for player-versus-player (PvP) content in such MMOGs is presented, and applied to a case study in the context of the major commercial title Destiny 2. The framework combines behavioral profiling via cluster analysis with recommendation systems to look at teams of players as a unit, as well as the individual players, to make recommendations to the players, with the purpose of providing information to them towards improving their performance.","PeriodicalId":297760,"journal":{"name":"Proceedings of the Australasian Computer Science Week Multiconference","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117234530","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"HIIT With Hits: Using Music and Gameplay to Induce HIIT in Exergames","authors":"Aaron Keesing, Matthew Ooi, Ocean Wu, Xinghao Ye, Lindsay Alexander Shaw, B. Wünsche","doi":"10.1145/3290688.3290740","DOIUrl":"https://doi.org/10.1145/3290688.3290740","url":null,"abstract":"Exercises have a wide variety of health benefits, but a large proportion of the population does not perform sufficient physical activity. A frequently cited reason is a lack of intrinsic motivation. Exergames have been proposed as a means to address this problem by combining exercises with an enjoyable game play. A particular useful form of exercises is HIIT (high intensity interval training), which involves alternating periods of intense exercise with periods of light exercise. However, few exergames attempt to implement high intensity protocols and their effectiveness remains uncertain. In this paper we present a novel VR exergame that utilises game-play mechanics synchronised with music rhythm, to automatically induce HIIT without the need for a physical instructor. The exergame involves the use of a rowing machine to synchronise oar movement with collectible rings in the game. The level of synchronisation directly determines the players score, and realtime feedback is given using a heads-up display. The distance between rings is changed to induce periods of varying intensity exercise. We tested our design using a two-way factor analysis (music on/off, gameplay on/off). A sample of 6 university students each completed all four conditions. Our results show that gameplay and music were both effective at inducing HIIT, while music had a stronger effect on both performance and perceptual variables. Music and gameplay both decreased perceived exertion over the no music + no game control. Music increased enjoyment over no music, and power output and rowing rate were both more consistent in the music condition.","PeriodicalId":297760,"journal":{"name":"Proceedings of the Australasian Computer Science Week Multiconference","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131633212","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Analysing Emerging Topics across Multiple Social Media Platforms","authors":"Rashmi Pokharel, P. D. Haghighi, P. Jayaraman, Dimitrios Georgakopoulos","doi":"10.1145/3290688.3290720","DOIUrl":"https://doi.org/10.1145/3290688.3290720","url":null,"abstract":"The ability to compose emerging topics from the data collected from multiple social media platforms can help individuals and organisations meet their business goals and improve decision-making, as such information can provide more complete and accurate information. However, existing research has mainly focused on analysing emerging topics from the posts and related data collected from a single social media platform. In this paper, we propose a framework referred to as Multi-source Social Topic Media Analysis (xSMA) framework to model, rank and semantically analyse emerging topics across various social media platforms. The implementation and evaluation of the xSMA framework using real-world datasets obtained from Twitter and Reddit are also described.","PeriodicalId":297760,"journal":{"name":"Proceedings of the Australasian Computer Science Week Multiconference","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131742915","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Set-based Logical Language for Specification of Combinatorial Models","authors":"A. Zamansky, M. Spichkova","doi":"10.1145/3290688.3290700","DOIUrl":"https://doi.org/10.1145/3290688.3290700","url":null,"abstract":"We propose a logical language for specifying combinatorial models, which employs the notion of sets and their complements to overcome some weaknesses of the use of standard Boolean semantics. The proposed language may lead to better modelling techniques in combinatorial test design, with the potential to lower the cognitive load of the modeller and thereby reduce the risk of modelling errors.","PeriodicalId":297760,"journal":{"name":"Proceedings of the Australasian Computer Science Week Multiconference","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129822293","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Specifying Weak Constraints in Processable English","authors":"Rolf Schwitter","doi":"10.1145/3290688.3290699","DOIUrl":"https://doi.org/10.1145/3290688.3290699","url":null,"abstract":"Processable English (PENG) is a controlled natural language designed to specify and conceptualize knowledge in a human-readable and machine-processable way. PENG specifications can be translated unambiguously into executable answer set programs (ASP). In this paper we suggest an extension of the language PENGASP so that weak constraints can be expressed in controlled natural language and processed as part of an ASP program. In contrast to strong constraints that have always to be satisfied and are already part of the controlled natural language, we introduce weak constraints that can be weighted and prioritised and should be satisfied whenever possible. The addition of weak constraints to the controlled natural language PENGASP makes it possible to specify optimisation problems in a natural way.","PeriodicalId":297760,"journal":{"name":"Proceedings of the Australasian Computer Science Week Multiconference","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130329869","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Multi-agent-based System to Model and Simulate the Emergency Response in Metropolis","authors":"Weicheng Yin, F. Ren, Minjie Zhang","doi":"10.1145/3290688.3290704","DOIUrl":"https://doi.org/10.1145/3290688.3290704","url":null,"abstract":"Emergency incidents happen frequently and cause huge loss of both lives and properties. However, in the traditional emergency response cycle, the involvement of human operators and resource dispatchers make bad decisions in some cases and the communications between different departments are in low efficiencies. Thus, Effective and rapid emergency response is very necessary. This paper discusses some existing approaches which can assist the emergency responses then propose a multi-agent-based system to model and simulate the emergency response cycle in real life in order to improve the efficiency of the emergency response.","PeriodicalId":297760,"journal":{"name":"Proceedings of the Australasian Computer Science Week Multiconference","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114853337","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Sentiment Correlation Discovery From Social Media to Share Market","authors":"S. Xie, Manshu Li, Jianxin Li","doi":"10.1145/3290688.3290712","DOIUrl":"https://doi.org/10.1145/3290688.3290712","url":null,"abstract":"Social media data analytics have been successfully applied in many real applications such as product recommendation, target advertisement. In recent years, it also attracted lots of attention from the financial researchers to analyse the financial trending or stock marketing prediction. In this paper, our goal is to investigate the meaningful way of uncovering the correlation between the stock share price change and the social media data usage. In this work, we first provide a mechanism to collect Twitter data, use Latent Dirichlet Allocation for topic modelling, then perform the sentiment analysis based on topics, and finally discover the correlation between social media and share price. Based on our empirical results, we find that the correlation could be impacted by the popularity of discussion as well as the valence of community, which represents the happiness to the target companies to be analysed and predicted. This could be built up by exploring the market and crisis resolution. The influence of online social users also plays a significant role in the correlation, which is a factor of manipulation that the influential users should be considered by measuring the responsibility of their social media account.","PeriodicalId":297760,"journal":{"name":"Proceedings of the Australasian Computer Science Week Multiconference","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130628620","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Botswana's Lab-In-A-Briefcase: A Position Paper","authors":"V. Narasimhan","doi":"10.1145/3290688.3290716","DOIUrl":"https://doi.org/10.1145/3290688.3290716","url":null,"abstract":"Detecting and managing communicable and non-communicable diseases in rural settings of Africa raises numerous structural, syntactical and semantic issues. Further, it has been observed that both Communicable Diseases (CDs) such as TB and Non-Communicable Diseases (NCDs), such as cancer, diabetes, cardiovascular diseases and chronic respiratory disease, are on the rise in sub-Saharan African countries and estimated to account for about 25% of deaths (Bloomfield et al., 2014) [8]. In Botswana, NCDs account for more than a third of all deaths in the country (WHO NCD country profile, 2014) [9]. For cash-poor part of Africa, this additional spend-requirement in healthcare is unfortunately substantial. One approach to reducing death related to CD/NCD is early detection and control through data collection and appropriate intervention. In sub-Saharan Africa countries, most of the population lives in rural areas where access to healthcare facilities is very limited. In such circumstances, a low-cost and mobile healthcare facility along with associated Information and Communication Technologies (ICT) would be of great assistance. This paper investigates the application of the \"lab-in-a-briefcase\" technology for the management of CDs/NCDs in Botswana and other SADC countries. The \"lab-in-a-briefcase is designed to provide a portable laboratory diagnosis toolkit with rapid results (about 15 minutes) that can be used in areas where access to laboratory or healthcare facility is limited and can be used with minimal training. It contains all the necessary tools and chemicals/reagents which are packaged in a briefcase form so that they can easily be carried. In addition, the Lab-in-a-briefcase employs mini-HPLC and smart camera, microphone, credit card-sized ECG and microscope so that a variety of tests can be performed quickly and efficiently in a portable manner. This paper details the design and deployment of \"Lab-in-a-briefcase\" and associated software tools at primary care health facilities so that diagnosis can be quickly carried out and the resulting medical records are automatically generated, converted into appropriate format and securely shared with different health information systems. The deployment of this system requires adaptation of the system in the context of the linguistic, legal, security, and other policy requirements of the participating countries. As part of the demonstration of the applicability, pilot studies will be extended to all participating African countries. Our end-objective is to develop a fully optioned prototype.","PeriodicalId":297760,"journal":{"name":"Proceedings of the Australasian Computer Science Week Multiconference","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131274013","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Query log streams based incremental schema matching","authors":"K. Reddy","doi":"10.1145/3290688.3290713","DOIUrl":"https://doi.org/10.1145/3290688.3290713","url":null,"abstract":"This paper proposes an idea for a query log streams based incremental schema matching system. Existing techniques include utilizing the usage information of the attributes in matching schemas. This paper proposes a further advancement of the technique by taking into consideration the constant and bursty nature of the attributes usage patterns and predicting schema attributes usage frequency - frequent of infrequent and new schema attributes usage information to perform incremental schema matching tasks so that the system is able to provide a better schema matching result by performing integration which is more relevant to the user. To the best of our knowledge, this paper represents the first to propose the technique of leveraging constant and bursty patterns of usage data and predicting schema attributes usage frequency and new attributes usage in incremental data integration tasks. The details of solution presented in this paper represents a first-cut work-in-progress approach, developing more comprehensive solution to the problem in ongoing future work.","PeriodicalId":297760,"journal":{"name":"Proceedings of the Australasian Computer Science Week Multiconference","volume":"105 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117229783","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}