Classifying Usage Control and Data Provenance Architectures

Given the ubiquity of data acquisition and processing in our everyday life,protecting data sovereignty in distributed systems is a significant topic ofresearch. Usage control and provenance tracking systems are very promisingsteps towards a technical solution for the problem of data sovereignty. However,due to their complexity and diversity these systems are still not fully understood.In this work we investigate the functionality of usage control and provenancetracking systems. We classify them into three different categories based on theirsecurity goals and properties. Furthermore we identify generic use cases forthese systems that help to understand what attack vectors system operators haveto be mindful of

End-User Control In Web-Based Electronic Services: A Case Study

This paper reports a case study of end-user control in delivery of Web-based electronic services. The case study concentrates the adoption of a Web-based electronic system being implemented in processing student&rsquo;s admission applications on a Web site. The end-user&rsquo;s control interface provides information on the detail existing in the Web-based electronic service. This insight into end-user synthesis in developing effective control in Web service environment relates to ease of use in doing the task. To assume the leverage of end-user control strictly on the basis of the Web service usage would limit the purpose of understanding. Rather it is suggested that it would be better to develop an approach to study the end-user ease of use interface in doing the task with the user&rsquo;s perception towards Web-based interactivity.<br /

Perilaku Penggunaan Tas Belanja pada Ibu Rumah Tangga Tidak Bekerja dalam Perspektif Theory of Planned Behavior

The usage of reusable shopping bag is one of pro-environmental behavior which needs to be encouraged to reduce plastic waste. This research aimed to analyze the influence of sample characteristic, attitude towards behavior, subjective norm, perceived behavioral control, and intention towards the usage behavior based on the theory of planned behavior. This research used cross-sectional design. The purposively selected locations were Cijujung Village and Panaragan Village which represent village and city area respectively. The sample in this research were 100 non-working housewives. The results showed that attitudes towards behavior, subjective norms, perceived behavioral control, and intention was in the moderate category. The result of regression test showed that the perceived behavioral control had a significant positive effect towards intention. The other result of regression test showed that the frequency of use is influenced positively by intention, subjective norms, and perceived behavioral control meanwhile it is affected negatively by the attitude towards behavior

The Determinants of Mobile Marketing Services Acceptance among Gen-Y Consumers

This research aims to examine the acceptance of mobile marketing services by computing the consumers’ intention towards actual use for mobile marketing services. This research’s conceptual framework is developed based on the Theory of Planned Behaviour by examining the attitude, subjective norms, perceived behavioural control, intention, and actual use. This research also strives to identify the effects of risk perception on purpose, which still an inadequacy of explanation in mobile marketing usage among Gen Y. A total of 650 questionnaires was distributed to the full-time university students of four Universities in the East Coast Region in Malaysia. The main statistical technique used in this research was SmartPLS and SPSS software. This research indicated that attitude, subjective norms, perceived behavioural control, and perceived risk tend to influence intention to use. The behavioural intention was also found to influence the actual use of mobile marketing services among generation Y. Based on the findings, the theoretical and practical implications of the study, limitation, and future studies suggestions were discussed in this research

Using Artificial French Data to Understand the Emergence of Gender Bias in Transformer Language Models

Numerous studies have demonstrated the ability of neural language models to learn various linguistic properties without direct supervision. This work takes an initial step towards exploring the less researched topic of how neural models discover linguistic properties of words, such as gender, as well as the rules governing their usage. We propose to use an artificial corpus generated by a PCFG based on French to precisely control the gender distribution in the training data and determine under which conditions a model correctly captures gender information or, on the contrary, appears gender-biased.Comment: Accepted at EMNLP'2

3D Object Reconstruction from Imperfect Depth Data Using Extended YOLOv3 Network

State-of-the-art intelligent versatile applications provoke the usage of full 3D, depth-based streams, especially in the scenarios of intelligent remote control and communications, where virtual and augmented reality will soon become outdated and are forecasted to be replaced by point cloud streams providing explorable 3D environments of communication and industrial data. One of the most novel approaches employed in modern object reconstruction methods is to use a priori knowledge of the objects that are being reconstructed. Our approach is different as we strive to reconstruct a 3D object within much more difficult scenarios of limited data availability. Data stream is often limited by insufficient depth camera coverage and, as a result, the objects are occluded and data is lost. Our proposed hybrid artificial neural network modifications have improved the reconstruction results by 8.53 which allows us for much more precise filling of occluded object sides and reduction of noise during the process. Furthermore, the addition of object segmentation masks and the individual object instance classification is a leap forward towards a general-purpose scene reconstruction as opposed to a single object reconstruction task due to the ability to mask out overlapping object instances and using only masked object area in the reconstruction process

Community-Based Intervention Strategies to Reduce Tobacco Use in Asia: A Systematic Review of Randomized Controlled Trials

Introduction Tobacco use remains a global health challenge as one-tenth of world’s population consume it regularly–thereby increasing its disease burden. Among all programs implemented, community-based interventions showed great potential, considering its ubiquity and practicableness. However, since tobacco consumption’s prevalence persists, especially in Asia, further reviews are needed. Objective To analyze prior community-based tobacco control programs in Asia and identify potential approaches to be implemented as a mean to reduce tobacco use Methods A systematic review was conducted through PubMed, Scopus, and CENTRAL, searching for randomized controlled trials (RCT) implementing community-based programs to control tobacco usage in Asia. Studies selected were assessed for bias risk with Cochrane risk-of-bias tool for randomized trials. Results The search yielded eleven RCTs with a total of 28,805 subjects. Smoking cessation interventions focusing on education and counselling are proven to be effective in reducing tobacco consumption and increasing quit rate. Moreover, prevention programs which include school-based interventions, reduce the likeliness of adolescents to smoke in the future and also prevent further tobacco use in recent youth smokers. Conclusions To conclude, community-based interventions showed promising results to be widely implemented as tobacco control and prevention strategies, helping to raise public awareness towards tobacco hazards and reducing the number of tobacco-related diseases and mortality worldwide

Visible light activated BINOL-derived chiroptical switches based on boron integrated hydrazone complexes

Chiral optical switches, which use light to control chirality in a reversible manner, offer unique properties and fascinating prospects in the areas of molecular switching and responsive systems, new photochromic materials and molecular data processing and storage. Herein, we report visible light responsive chiroptical switches based on tetrahedral boron coordination towards an easily accessible hydrazone ligand and optically pure BINOL. Upon instalment of a non-planar dibenzo[a,d]-cycloheptene moiety in the hydrazone ligand's lower half, the enantiopure boron complex shows major chiroptical changes in the CD read-out after visible light irradiation. The thermal isomerization barrier in these chiroptical switching systems showed to be easily adjustable by the introduction of substituents onto the olefinic bond of the cycloheptene ring, giving profound control over their thermal stability. The control over their thermal stability in combination with excellent reversibility, photochemical properties and overall robustness of the complexes makes these BINOL-derived chiroptical switches attractive candidates for usage in advanced applications, e.g. photonic materials and nanotechnology

Understanding the role of equity in leveraging privacy concerns of consumers in ecommerce

Since ecommerce requires individuals to disclose their personal information, an issue of information privacy becomes an impediment towards its adoption. However, a paradox exists whereby individuals claim privacy concerns, yet act contrarily by using ecommerce. Our research aims to investigate the reasoning behind individuals use of ecommerce, despite claiming concerns for their information privacy. Based on previous findings, we argue that consumers undergo a calculation of equal benefits in conducting business with online firms, where they agree to firms utilizing their personal information as long as they retain control over its usage. This paper is a research-in-progress, and as such, our future work would be to validate our argument by collecting and empirically analyzing individuals responses with regards to ecommerce use. We expect that our paper would contribute by better understanding the conditions in which individuals disclose or withhold personal information

Impact of learner control on learning in adaptable and personalised e-learning environments

The purpose of this thesis is to investigate the impact of learners‟ measure of control over their learning, while working in different online learning environments, and how this, in combination with a structured learning material selection according to their learning preferences, can affect their learning performance. A qualitative study was carried out on the understanding of different learning philosophies, different learning environments and different learning preferences, in correlation with learners‟ measure of control over their learning environments, in terms of their influence on their learning performance. The research commenced with a survey of UK Higher Educational institutions, to determine the usage of adaptive e-learning systems in UK HE and the type and nature of the systems in use, which in combination with the literature review enabled the clarification of the research hypothesis and objectives. Since a measurement of learners‟ learning performance was needed, an adaptable personalised e-learning system (ALPELS) was developed to create an environment where a qualitative measurement could be done. Experimental data was then gathered from two cohorts of MSc students over two semesters, who used the newly designed and developed online learning environment. The successful implementation of the project has produced a large amount of data, which demonstrates a correlation between i) adaptable and personalised e-learning systems, and ii) learners‟ learning styles (which in itself supports the behaviouristic approach towards this type of online learning environment – ALPELS). The study indicates a dependency between an online controlled learning environment and learners‟ learning performances, showing that a personalised e-learning system (PELS) would be supportive of recall (R) and understanding (U) types of content materials (with an indication of 4.89%), but also demonstrating an increase in student learning performance in an adaptable e-learning system (ALELS) while using competency (C) types of content materials (with an indication of 5.43%). These outcomes provide a basis for future design of e-learning systems, utilising different models of learner control based on underpinning educational philosophies, in combination with learning preferences, to structure and present learning content according to type