Littérature scientifique sur le sujet « Informatik; OpenCV; Smartphone »
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Articles de revues sur le sujet "Informatik; OpenCV; Smartphone"
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Chen, Yi-Fen, Bi-Chu Chen, Wen-Yu Chen, Chia-Wen Tsai et Wei-Hung Lin. « Optimal Strategy for the Smartphone Industry in Taiwan ». International Journal of Intelligent Information Technologies 8, no 4 (octobre 2012) : 62–79. http://dx.doi.org/10.4018/jiit.2012100105.
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Smartphone development has opened the door to many future business opportunities. Many smartphone manufacturers in Taiwan have received orders from large international companies (mainly as OEMs or ODMs), while only few manufacturers have developed their own brands. If the authors can provide these enterprises with an effective decision-making strategy, they will be able to make the best decisions in time. The purpose of this paper is to take critical success factors (CSFs) and the existing internal capabilities of an enterprise in an external environment into account to build an operational model guide that enterprise in its decision making process. This study combined the Delphi method and the analytic network process (ANP) model to construct a decision model, calculate the weighting of every criterion and sub-criterion, and determine the optimal decision-making strategy in the smartphone industry. Then, the authors chose the HTC Corporation as a case study. The results showed that the development trend of the smartphone industry was the integration of mobile phones. The strategy of excellent functions strategy is the optimal strategy for the implementation of the alternatives.
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Ngoo, Alexander, Anna Finnane, Erin McMeniman, H. Peter Soyer et Monika Janda. « Fighting Melanoma with Smartphones : A Snapshot of Where We are a Decade after App Stores Opened Their Doors ». International Journal of Medical Informatics 118 (octobre 2018) : 99–112. http://dx.doi.org/10.1016/j.ijmedinf.2018.08.004.
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Maitz, Emanuel, Katharina Maitz, Gerald Sendlhofer, Christina Wolfsberger, Selma Mautner, Lars-Peter Kamolz et Barbara Gasteiger-Klicpera. « Internet-Based Health Information–Seeking Behavior of Students Aged 12 to 14 Years : Mixed Methods Study ». Journal of Medical Internet Research 22, no 5 (26 mai 2020) : e16281. http://dx.doi.org/10.2196/16281.
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Background Many children and adolescents are surrounded by smartphones, tablets, and computers and know how to search the internet for almost any information. However, very few of them know how to select proper information from reliable sources. This can become a problem when health issues are concerned, where it is vital to identify incorrect or misleading information. The competence to critically evaluate digital information on health issues is of increasing importance for adolescents. Objective The aim of this study was to assess how children and adolescents rate their internet-based health literacy and how their actual literacy differs from their ratings. In addition, there was a question on how their search performance is related to their self-efficacy. To evaluate these questions, a criteria-based analysis of the quality of the websites they visited was performed. Finally, the possibility to increase their internet-based health literacy in a 3-day workshop was explored. Methods A workshop with a focus on health literacy was attended by 14 children and adolescents in an Austrian secondary school. After prior assessments (Culture Fair Intelligence Test, revised German version; Reading Speed and Reading Comprehension Test for Grades 6 to 12, German; electronic health literacy scale [eHEALS]; and General Self-Efficacy Scale, Reversed Version, German), the students were asked to perform an internet-based search on a health-related issue. Browser histories and screenshots of all internet searches were gathered, clustered, and analyzed. After the workshop, the health literacy of the students was assessed again by using the eHEALS. Results The 14 students opened a total of 85 homepages, but only eight of these homepages were rated as good or fair by two experts (independent rating) based on specific criteria. The analysis showed that the students judged their own internet-based health literacy much higher than the actual value, and students who had rated themselves better did not visit websites of high quality. Internet-based health literacy correlated significantly with the self-efficacy of the students (rs=0.794, P=.002). Conclusions Our study showed that it is possible to draw the attention of students to critical aspects of internet search and to slightly improve their search competence in a workshop. Targeted improvement of health literacy is urgently required, and students need special instruction for this purpose. Further investigations in this area with larger sets of data, which could be feasible with the help of a computer program, are urgently needed.
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Fasae, Joseph Kehinde, et Idowu Adegbilero-Iwari. « Mobile devices for academic practices by students of college of sciences in selected Nigerian private universities ». Electronic Library 33, no 4 (3 août 2015) : 749–59. http://dx.doi.org/10.1108/el-03-2014-0045.
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Purpose – This study aims to look at the use of mobile devices by science students with emphasis only on privately owned universities in Nigeria. Design/methodology/approach – A descriptive research design was used, as the study was a survey research. Eighty copies of structured questionnaire were distributed to collect data from science students in advanced levels of their undergraduate programmes in Afe Babalola University, Ado-Ekiti (ABUAD) and Joseph Ayo Babalola University (JABU) Ikeji-Arakeji, in their lecture halls and laboratories with the permission and assistance of their lecturers. The data were collected within a period of five weeks. All the administered questionnaire were correctly filled and returned, yielding a 100 per cent return rate. The data were analysed using descriptive statistics which includes frequency and percentage presented in tables and charts. Findings – The study found that science students in the selected private universities mostly (83.7 per cent) use smartphones than other mobile devices. Also, the students own mobile devices for the purpose of using educational applications (77.50 per cent) and to chat with people (72.50 per cent). The students use the Internet on their devices very often. The Internet facilities mostly used by the students are e-mails (71.25 per cent), social media (68.75 per cent) and search engines (60.50 per cent). The challenges mostly faced by the students using mobile devices for academic practices are poor Internet connectivity (81.25 per cent) and high cost of data subscription (53.75 per cent). Practical implications – Given the knowledge gained from this study, it is desired that universities across Nigeria would encourage the integration of the use of mobile devices into core educational programmes. Also, mobile data service providers need to reduce the cost of data subscription, especially on campuses for students. Moreover, owners of private universities should ensure the provision of good Internet connectivity for mobile devices campus-wide. Free and accessible Wi-Fi hot spots should be created for students. Social implications – Policy makers in the country should encourage mobile data service providers to reduce cost of data subscription on university campuses so as to enable students enjoy to the fullest the numerous features of mobile devices for academic practices. Originality/value – Research on the use of mobile devices for academic practices by students is somewhat new in Nigeria more so that privately owned universities are in focus. The study has therefore opened the floor for more in-depth studies on the subject now that mobile devices should be seen as tools rather than fanciful gadgets.
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Nguyễn Thị Hồng, Hạnh, et Long Nguyễn Hoàng. « XÂY DỰNG ỨNG DỤNG QUẢN LÝ THÔNG TIN ĐẤT ĐAI TRÊN ĐIỆN THOẠI THÔNG MINH ». Tạp chí Khoa học và công nghệ nông nghiệp Trường Đại học Nông Lâm Huế 5, no 2 (2021). http://dx.doi.org/10.46826/huaf-jasat.v5n2y2021.425.
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Công nghệ thông tin đã mở ra một kỷ nguyên hoàn toàn mới trong việc tiếp cận và chia sẻ thông tin. Điều này mang đến những lợi ích vô cùng to lớn cho cả nhân loại trên nhiều lĩnh vực, đặc biệt trong lĩnh vực quản lý đất đai. Xu hướng sử dụng điện thoại thông minh (smartphone) để khai thác và chia sẻ thông tin liên quan đến đất đai đang gia tăng nhanh chóng trên thế giới và đã trở thành một thiết bị điện tử luôn sẵn sàng phục vụ người dùng mọi lúc mọi nơi. Bài báo với mục tiêu xây dựng ứng dụng quản lý thông tin thửa đất cho hộ gia đình cá nhân trên điện thoại thông minh giúp người dân có thể theo dõi, trực tiếp quản lý các thông tin thửa đất của mình. Đây là dịch vụ nhằm công khai, minh bạch các dữ liệu liên quan đến đất đai, góp phần cải cách thủ tục hành chính, phục vụ người dân một cách toàn diện, nhanh chóng, hiệu quả và tiết kiệm. Từ đó tạo điều kiện thuận lợi cho người dân trong việc mua bán, chuyển nhượng đất đai, tránh được những rắc rối phát sinh. Kết quả nghiên cứu đã thiết kế, xây dựng được cơ sở dữ liệu lưu trữ các thông tin thửa đất các thông tin liên quan trên nền tảng hệ quản trị CSDL PostgreSQL\PostGIS. Đồng thời phát triển được ứng dựng quản lý thông tin thửa đất trên điện thoại thông minh bằng ngôn ngữ lập trình Java với các chức năng phân quyền truy cập, truy vấn dữ liệu, hiển thị dữ liệu đồng thời ứng dụng được tiến hành thử nghiệm tra cứu thông tin với dữ liệu trên địa bàn Quận 3, Thành phố Hồ Chí Minh. ABSTRACT Information technology has opened up a whole new era of access and sharing of information. This brings enormous benefits to all humanity in many fields, especially in the field of land management. The trend of using smartphones to search and share land-related information is increasing rapidly in the world and has become a multifunctional device, which can come in handy in different situations. The main goals in this reseach aim to design and construct a land management information application for individual households on smartphones to help people monitor and directly manage their land-related information. This Program is posted here on the purpose of making the land-related information open and explicit to the public, contribute to reforming administrative procedures, helps save your time, money, energy and finish your tasks in the most effective and perfect way. It creates good conditions for people in the purchase, sale and transfer land use rights, avoid arising trouble. The research results were achieved include building a database to store land parcel information by using the PostgreSQL\PostGIS database management system and developing application of land information management on smartphones. The application are writen in the Java programming language with functions such as user permissions, querying, displaying data and are successfully applied on searching land-related information in District 3, Ho Chi Minh City.
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Martinez-Alpiste, Ignacio, Gelayol Golcarenarenji, Qi Wang et Jose Maria Alcaraz-Calero. « Smartphone-based real-time object recognition architecture for portable and constrained systems ». Journal of Real-Time Image Processing, 1 septembre 2021. http://dx.doi.org/10.1007/s11554-021-01164-1.
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AbstractMachine learning algorithms based on convolutional neural networks (CNNs) have recently been explored in a myriad of object detection applications. Nonetheless, many devices with limited computation resources and strict power consumption constraints are not suitable to run such algorithms designed for high-performance computers. Hence, a novel smartphone-based architecture intended for portable and constrained systems is designed and implemented to run CNN-based object recognition in real time and with high efficiency. The system is designed and optimised by leveraging the integration of the best of its kind from the state-of-the-art machine learning platforms including OpenCV, TensorFlow Lite, and Qualcomm Snapdragon informed by empirical testing and evaluation of each candidate framework in a comparable scenario with a high demanding neural network. The final system has been prototyped combining the strengths from these frameworks and led to a new machine learning-based object recognition execution environment embedded in a smartphone with advantageous performance compared with the previous frameworks.
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Ali, Irfan, et Nosheen Fatima Warraich. « Personal information management through ubiquitous devices : Students’ mobile self-efficacy and PIM practices ». Journal of Librarianship and Information Science, 16 février 2021, 096100062199282. http://dx.doi.org/10.1177/0961000621992821.
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This study aims to explore personal information management (PIM) practices of undergraduate university students on ubiquitous devices such as mobile phones. The purpose was to investigate the relationship between mobile self-efficacy and mobile-based PIM practices of the respondents in terms of finding/re-finding, keeping and organizing information. This study was the offspring of a PhD project. The quantitative research design was used to conduct this study. Structured questionnaire was used to collect data from undergraduate students Regression analysis was applied to investigate the relationship between mobile self-efficacy and their mobile based PIM practices. The findings revealed that undergraduate students search, browse, and scan information through mobile phones. They used keywords, searched from recently opened file, and from send item to find/re-find information. They save their personal information in folders, use mobile applications, and take screen shot of information to keep it for future use. Current study reported “ Sharing as keeping ‘as a new phenomenon in mobile based personal information keeping (ubiquitous environment). This study also reported ‘ Ubiquity’ as an emerging trend in PIM among young generation. Study found positive correlations between mobile self-efficacy and mobile based PIM. Current study developed a model of mobile self-efficacy and PIM. Based on new phenomena “ sharing as keeping’ (which occurred in current study), a model “mobile based personal information keeping” may be developed. This study helps software developers of smartphones to develop mobile phone applications according to users’ needs. This study provides better understanding of PIM model (finding/re-finding, keeping and organizing information) through ubiquitous devices (smart phones). Although studies have been conducted to know the impact or relationship between mobile self-efficacy and PIM, but no comprehensive study has been conducted to explore the relationship between mobile self-efficacy and the holistic picture of mobile based PIM (finding/re-finding, keeping, and organizing information) especially in developing countries like Pakistan.
Thèses sur le sujet "Informatik; OpenCV; Smartphone"
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Lotankar, Akshay Naresh. « Development of a smart-phone based augmented reality view application for driver assistance systems ». Master's thesis, Universitätsbibliothek Chemnitz, 2017. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-qucosa-229312.
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The goal of this thesis is to develop a smartphone application for augmented reality view; it is an initial attempt to realize a driver assistance functionality using just a smartphone and an external lens. Initially it depicts a brief analysis about the most feasible development technologies for mobile application development, selecting a proper lens and positioning of the smartphone in the car. Later, it discusses the strategies for real-time object detection using OpenCV; the video frames are processed using the strategies to find patterns in the videos. Different techniques like Hough-line transform, watershed, contour detection, color segmentation, color thresholding and HAAR cascades are implemented and compared in terms of real time detection of the desired objects. Then a unified algorithm is implemented for the given scenario which overcomes the challenges faced during the conceptualization phase. Finally, the results are depicted with the snapshots of the real time detection done from the smartphone and then evaluated against the vision of the application and the achieved tasks. This thesis is concluded by stating the prospects of this mobile application in the future.
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Fidanza, Giovanni. « Tracciamento dello sguardo tramite fotocamera frontale dello smartphone ». Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2019. http://amslaurea.unibo.it/17884/.
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Lo scopo di questa ricerca e di creare un algoritmo per il tracciamento
approssimativo della direzione dello sguardo umano utilizzando la fotocamere di comuni smartphone.
Attualmente esistono varie tecnologie di Eye-tracking, a vari livelli di precisione, quasi sempre basate su costosi hardware dedicati.
L'obiettivo finale è quello di integrare l'algoritmo sulle app per smartphone e consentire a chi lo sta usando di essere allertato se qualcuno “sbircia” nel suo dispositivo.
L'idea di base è quella di utilizzare la fotocamera frontale dell'utente per "intercettare" ed analizzare i movimenti oculari dei i vari volti inquadrati, escludendo la faccia dell'utente mediante funzioni già presenti in Android.
L'algoritmo mira a fornire un Alert se rileva sguardi indiscreti verso il proprio smartphone e sollecitare un comportamento di protezione della privacy, ad esempio evitando di leggere dati sensibili o digitare password.
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Orazi, Gabriele. « Progettazione e sviluppo di un bot automatico per giochi di strategia su device mobili ». Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2018. http://amslaurea.unibo.it/15430/.
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In questa tesi viene discussa l'implementazione di un bot automatico in grado di interfacciarsi ad un device mobile, al fine di controllare autonomamente le fasi di battaglia di un gioco strategico.
Il dispositivo in questione viene interamente controllato da un calcolatore esterno tramite l'invio di segnali atti ad emulare in tutto e per tutto quelli di un giocatore reale che sfiora lo schermo touchscreen del device.
Inoltre è stata progettata una prima rete neurale con l'intento di riuscire ad ottimizzare le strategie di attacco del bot.
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Lo, Chien-Min, et 羅健銘. « A Study of Armed Force Personnel’s Information Security Literacy and Cognition of Administrative Rules on Information Security Risks Behaviors-the Open use of Smartphone in an Air Force Camp as an Example ». Thesis, 2016. http://ndltd.ncl.edu.tw/handle/7g6r42.
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碩士元智大學
資訊社會學碩士學位學程
104
Smartphones and mobile network have grown rapidly in recent years. The Armed Forces are unable to resist the irreversible trend of information era and have decided to further the authorization of smartphones in the camps. However, the open use of smartphone in camps may level to information security risks and jeopardize camp security. In this study, the Armed Force personnel’s information security literacy and cognition of administrative rules were examined in an attempt to find out their relationship with information security risks. Moreover, the difference in the cognition of administrative rules, the information security literacy, and information security risks under different backgrounds were analyzed. An Air Force camp was chosen as study sample. This study collected 109 valid questionnaires in total. The data acquired from questionnaires was examined using descriptive analysis, One-way ANOVA, Pearson correlation analysis, and linear regression analysis so as to validate the hypotheses proposed by this study. The findings of this study suggested: 1. A positive correlation between Armed Force personnel’s attainment of information security and cognition of administrative rules was found, the higher the attainment of information security literacy, the higher the cognition of smartphone administrative rules. 2.Cognition of administrative rules and information security literacy were not significant correlation with information security risk behaviors. 3. A significant difference in information security risks was found between Armed Forces personnel with different ranks, the higher the rank, the higher the probability of information security risks.
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Warnecke, Danielle. « Green Information Systems in der digitalen Gesellschaft - Eine multimethodische und multiperspektivische Analyse der Technologieakzeptanz ». Doctoral thesis, 2021. https://repositorium.ub.uni-osnabrueck.de/handle/urn:nbn:de:gbv:700-202103024067.
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Im Fokus der Dissertation steht die Erforschung nachhaltiger Effekte durch Informationssysteme, insbesondere Ansatzpunkte zur Nachhaltigkeitstransformation der Gesellschaft durch Methoden und Artefakte der Green Information Systems (Green IS).
Als Green IS werden sozio-technische Informationssysteme bezeichnet, die neben wirtschaftlichen Kriterien der ressourceneffizienten Bereitstellung von Informationen, der Koordination und Kommunikation auch die ökologische und soziale Dimension gemäß der „Triple Bottom Line“ (Drei-Säulen-Modell der nachhaltigen Entwicklung) adressieren. Der Anwendungsbereich von Green IS liegt auf der Reduktion von Umweltbelastungen und der Bewältigung komplexer Umweltherausforderungen durch sozio-technische Informationssysteme.
Neben Forschungsthemen der (Wirtschafts-)Informatik und der Wirtschaftswissenschaften werden Bereiche der Psychologie und Sozialwissenschaften zu Fragen der digitalen Nachhaltigkeitstransformation, der Nachhaltigkeitsbewertung sowie Akzeptanzforschung behandelt. Aufgrund der Komplexität und Vielschichtigkeit des Themas wird ein multimethodischer Forschungsansatz verfolgt, indem sowohl qualitative als auch quantitative Methoden zum Einsatz kommen. Die zentralen Forschungsfragen lauten dabei wie folgt: FF1. Welchen Beitrag können Green IS auf Makro- und Meso-Ebene zur Nachhaltigkeitsbewertung leisten und welchen Reifegrad weisen sie auf? FF2. Inwiefern können digitale Geschäftsmodelle zur unternehmerischen und gesellschaftlichen Nachhaltigkeitstransformation beitragen? FF3. Kann durch gezieltes Nachhaltigkeitsmarketing die Akzeptanz von Green IS in der Gesellschaft gefördert werden?
Gemäß der Design Science Research werden Verfahren zur Nachhaltigkeitsbewertung für Smart City Mobilitätsstrategien und betriebliche Umweltinformationssysteme (BUIS) des produzierenden Gewerbes konstruiert. Es wird ein Prototyp zum webbasierten Benchmark solcher Smart City Initiativen realisiert. Das entwickelte Geschäftsprozessmodell zeigt auf, inwiefern eine Transformation zur Plattformorganisation im Rahmen von Open Innovation für Industriebetriebe erfolgreich gelingen kann. Die quantitativen Erhebungen zeigen auf, das vor allem hochpreisige Informations- und Kommunikationstechnologie (IKT) für Geschäftsmodelle der Sharing Economy geeignet ist sowie, dass die Akzeptanz nachhaltiger IKT in der Gesellschaft bereits insbesondere bei Zugehörigen des "Lifestyle of Health and Sustainability" (LOHAS) vorhanden ist und der weiteren Förderung durch geeignete Verbraucher-Symbole bedarf.
Chapitres de livres sur le sujet "Informatik; OpenCV; Smartphone"
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Chen, Ruizhi, et Liang Chen. « Smartphone-Based Indoor Positioning Technologies ». Dans Urban Informatics, 467–90. Singapore : Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-8983-6_26.
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AbstractGlobal Navigation Satellite Systems (GNSS) have achieved great success in providing localization information in outdoor open areas. However, due to the weakness of the signal, GNSS signals cannot be received well indoors. Currently, indoor positioning plays a significant role in many areas, such as the Internet of Things (IoT) and artificial intelligence (AI), but given the complexity of indoor spaces and topology, it is still challenging to achieve an accurate, effective, full coverage and real-time positioning solution indoors. With the development of information technology, the smartphone has become more and more popular. With a large number of sensors embedded in smartphones, it is thus possible to achieve low cost, continuity, and high usability for indoor positioning. In this chapter, we focus on indoor positioning technologies with smartphones, and in particular, emphasize the technologies based on radio frequency (RF) and built-in sensors. The pros and cons of the technologies are reviewed and discussed in the context of different applications. Moreover, the challenges of indoor positioning are pointed out and the directions for the future development of this area are discussed.
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Almunawar, Mohammad Nabil, Muhammad Anshari et Heru Susanto. « Adopting Open Source Software in Smartphone Manufacturers' Open Innovation Strategy ». Dans Encyclopedia of Information Science and Technology, Fourth Edition, 7369–81. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-2255-3.ch641.
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We are witnessing the rapid adoption of smart mobile devices globally, especially smartphones. Unlike cell phones, most computer functions can be performed by smartphones. The established players of cell phones have lost their grip on the market and new players have quickly captured the market's interest. Open Source (OSS) can be viewed as a kind of Open Innovation where a company outsource software needed to the community or alternatively a company can contribute its software to the community after turning it to open source software. This chapter discusses the Open Innovation and adoption of OSS in smartphone industry. The development OSS and it use in smartphones will be presented. The competition between proprietary and OSS operating systems for smartphones will be discussed as platforms or operation systems shape the smartphone industry.
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Hyyppä, Juha, Lingli Zhu, Zhengjun Liu, Harri Kaartinen et Anttoni Jaakkola. « 3D City Modeling and Visualization for Smart Phone Applications ». Dans Geographic Information Systems, 1011–52. IGI Global, 2013. http://dx.doi.org/10.4018/978-1-4666-2038-4.ch062.
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Smartphones with larger screens, powerful processors, abundant memory, and an open operation system provide many possibilities for 3D city or photorealistic model applications. 3D city or photorealistic models can be used by the users to locate themselves in the 3D world, or they can be used as methods for visualizing the surrounding environment once a smartphone has already located the phone by other means, e.g. by using GNSS, and then to provide an interface in the form of a 3D model for the location-based services. In principle, 3D models can be also used for positioning purposes. For example, matching of images exported from the smartphone and then registering them in the existing 3D photorealistic world provides the position of the image capture. In that process, the central computer can do a similar image matching task when the users locate themselves interactively into the 3D world. As the benefits of 3D city models are obvious, this chapter demonstrates the technology used to provide photorealistic 3D city models and focus on 3D data acquisition and the methods available in 3D city modeling, and the development of 3D display technology for smartphone applications. Currently, global geoinformatic data providers, such as Google, Nokia (NAVTEQ), and TomTom (Tele Atlas), are expanding their products from 2D to 3D. This chapter is a presentation of a case study of 3D data acquisition, modeling and mapping, and visualization for a smartphone, including an example based on data collected by mobile laser scanning data from the Tapiola (Espoo, Finland) test field.
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Höffken, Stefan, et Bernd Streich. « Mobile Participation ». Dans Advances in Electronic Government, Digital Divide, and Regional Development, 199–225. IGI Global, 2013. http://dx.doi.org/10.4018/978-1-4666-4169-3.ch011.
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Smartphones and tablet computers are becoming essential in everyday life, connecting us in a powerful network through mobile web services. They open new channels of communication between citizens, institutions and administrations, offer greater access to public information, and facilitate increased participation. These new forms of collaborative social interaction revolutionize our information and knowledge society. The chapter examines the new opportunities opened up by mobile phones for mParticipation in the context of urban planning processes. After beginning with a theoretical overview about technical developments, eParticipation and the changes in communication in a networked society, it defines the concept of mParticipation. This is followed by an examination of six real-world projects. These examples are then used for the identification of best practices and for the analysis of the usefulness and effectiveness of these new participatory tools. In addition, the chapter discusses the possibilities as well as the barriers to mobile participation, and makes recommendations for the use of smartphones in urban planning. mParticipation opens new channels of communication, creates new ways of gathering local information and has the chance for creating a low-threshold gateway for citizen participation in urban planning, by improving databases and giving instant feedback.
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Brovelli, Maria Antonia, Marco Minghini et Giorgio Zamboni. « Three Dimensional Volunteered Geographic Information ». Dans Geospatial Research, 1881–98. IGI Global, 2016. http://dx.doi.org/10.4018/978-1-4666-9845-1.ch090.
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The dawn of GeoWeb 2.0, the geographic extension of Web 2.0, has opened new possibilities in terms of online dissemination and sharing of geospatial contents, thus laying the foundations for a fruitful development of Volunteered Geographic Information (VGI) systems. The purpose of the study is to investigate the extension of VGI applications, which are quite mature in the traditional bi-dimensional framework, up to the third dimension by means of virtual globes. Inspired by the visionary idea of Digital Earth, virtual globes are changing the way people approach to geographic information on the Web. Unlike the 2D visualization typical of Geographic Information Systems (GIS), virtual globes offer multi-dimensional, fully-realistic content visualization which allows for a much richer user experience. The proposed system should couple a powerful 3D visualization with an increase of public participation thanks to a tool allowing data collecting from mobile devices (e.g. smartphones and tablets). The participative application, built using the open source NASA World Wind virtual globe, is focused on the cultural and tourism heritage of Como city, located in Northern Italy. Users can create and manage customized projects and populate a catalogue of cartographic layers which is available to the entire community. Together with historical maps and the current cartography of the city, the system is also able to manage geo-tagged data, which come from user field-surveys performed through mobile devices in order to report POIs (Points Of Interest). Users can also extend POIs information adding more textual and multimedia contexts (e.g. images, audios and videos) directly on the globe. All in all, the resulting application allows users to create and share contributions as it usually happens on social platforms, additionally providing a realistic 3D representation enhancing the expressive power of data.
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Karim, Ahmad, Victor Chang et Ahmad Firdaus. « Android Botnets ». Dans Research Anthology on Securing Mobile Technologies and Applications, 75–92. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-8545-0.ch005.
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Mobile botnets are gaining popularity with the expressive demand of smartphone technologies. Similarly, the majority of mobile botnets are built on a popular open source OS, e.g., Android. A mobile botnet is a network of interconnected smartphone devices intended to expand malicious activities, for example; spam generation, remote access, information theft, etc., on a wide scale. To avoid this growing hazard, various approaches are proposed to detect, highlight and mark mobile malware applications using either static or dynamic analysis. However, few approaches in the literature are discussing mobile botnet in particular. In this article, the authors have proposed a hybrid analysis framework combining static and dynamic analysis as a proof of concept, to highlight and confirm botnet phenomena in Android-based mobile applications. The validation results affirm that machine learning approaches can classify the hybrid analysis model with high accuracy rate (98%) than classifying static or dynamic individually.
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Parinsi, Mario Tulenan, et Keith Francis Ratumbuisang. « Indonesian Mobile Learning Information System Using Social Media Platforms ». Dans Language Learning and Literacy, 549–73. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-5225-9618-9.ch029.
Texte intégralRésumé :
As a developing country, Indonesia continues to improve its quality as a state, in which the attempt to optimize all of its potential both in terms of economic, political, social, cultural, technological, educational, health, etc. This modern era, all aspects of life are depending on technology. This makes the technology becomes one of necessary in people's life. The utilization of technology has been used by all people in all aspects of life. Specifically, this paper tries to offer an innovation that has never been designed before, namely a platform of M-Learning in form of social media related to the development of technology for learning. Nowadays, internet users and smartphone ownership in Indonesia increased dramatically, then writers took initiative to design an innovation related to this case. Social media technologies provide the opportunity for teachers to engage students in online classes, thereby supporting the development of skills and learners to achieve competency. In addition to students, the opportunity is also open to outside the community to get information that can add knowledge. This case study provides a platform for M-Learning based learning that facilitate student learning also helps society size to obtain information more easily. The design of this platform using models UML (Unified Modeling Language) to design a visual model of this platform.
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Bello-Bravo, Julia, Anne Namatsi Lutomia, Eric Abbott, Robert Mazur, Sostino Mocumbe et Barry R. Pittendrigh. « Making Agricultural Learning Accessible ». Dans Empowering Learners With Mobile Open-Access Learning Initiatives, 47–73. IGI Global, 2017. http://dx.doi.org/10.4018/978-1-5225-2122-8.ch005.
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Worldwide women play an important role in agriculture but they still are marginalized in extension education programs. Traditionally, male-dominated extension services may contribute to gender bias in terms of access to information, participation, implementation and innovation. Limitations women face in accessing extension programs are related to social and cultural constructions. Recently, mobile phone technology has facilitated the work of extension agents and has provided participants new resources to improve their yields; nevertheless, farmer productivity in Mozambique varies between genders. This paper illustrates how agricultural messages designed as animations, and delivered via smartphones result in learning for farmers better than traditional extension presentations. This chapter focuses on the creation of educational materials by Scientific Animations Without Borders (SAWBO), and then illuminates the gaps and solutions related to gender agricultural learning. Lastly, a case study of Mozambican gender agricultural learning using animations is presented.
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Zhang, Yi. « User Identity Hiding Method of Android ». Dans Research Anthology on Securing Mobile Technologies and Applications, 413–25. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-8545-0.ch022.
Texte intégralRésumé :
With an 86.1% global market share, Android takes the top spot smartphone operating system. Due to its open environment, Android suffers from various kinds of attacks, which cause a serious privacy leakage problem. To protect users' privacy information, this article proposes a user identity hiding method of Android. The method constructs a hidden user identity in Android based on the multi-user mechanism. In particular, by hiding information related to hidden user, the method makes it invisible to normal user. The method can quickly switch the identity of normal user and hidden user by passwords. Thus, the method can deal with privacy information under hidden user identity while processing regular information under normal user identity. Compared with traditional security methods of Android, this method significantly improves the security of android devices without arousing any suspicion. Experimental results show the effectiveness of the method that it not only achieves ideal hiding effect on user identity, but also implements quick switch without sacrificing the performance of system.
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Augusto, Alexandre B., et Manuel E. Correia. « A Mobile-Based Attribute Aggregation Architecture for User-Centric Identity Management ». Dans Architectures and Protocols for Secure Information Technology Infrastructures, 266–87. IGI Global, 2014. http://dx.doi.org/10.4018/978-1-4666-4514-1.ch010.
Texte intégralRésumé :
The massive growth of the Internet and its services is currently being sustained by the mercantilization of users’ identities and private data. Traditional services on the Web require the user to disclose many unnecessary sensitive identity attributes like bankcards, geographic position, or even personal health records in order to provide a service. In essence, the services are presented as free and constitute a means by which the user is mercantilized, often without realizing the real value of its data to the market. In this chapter the auhors describe OFELIA (Open Federated Environment for Leveraging of Identity and Authorization), a digital identity architecture designed from the ground up to be user centric. OFELIA is an identity/authorization versatile infrastructure that does not depend upon the massive aggregation of users’ identity attributes to offer a highly versatile set of identity services but relies instead on having those attributes distributed among and protected by several otherwise unrelated Attribute Authorities. Only the end user, with his smartphone, knows how to aggregate these scattered Attribute Authorities’ identity attributes back into some useful identifiable and authenticated entity identity that can then be used by Internet services in a secure and interoperable way.
Actes de conférences sur le sujet "Informatik; OpenCV; Smartphone"
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King, Eoin A., Akin Tatoglu et Robert D. Celmer. « Participatory Noise Mapping : Harnessing the Potential of Smartphones Through the Development of a Dedicated Citizen-Science Platform ». Dans ASME 2017 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/imece2017-71430.
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This paper presents results of an ongoing project which aims to develop a purpose-built platform for using smart phones as alternative to sound level meters for citizen-science based environment noise assessment. In order to manage and control environmental noise effectively, the extent of the problem must first be quantified. Across the world, strategic noise maps are used to assess the impact of environmental noise in cities. Traditionally, these maps are developed using predictive techniques, but some authors have advocated the use of noise measurements to develop more reliable and robust noise maps. If adopted correctly, smartphones have the capability to revolutionize the manner in which environmental noise assessments are performed. The development of smartphone technology, and its impact on environmental noise studies, has recently begun to receive attention in the academic literature. Recent research has assessed the capability of existing smartphone applications (apps) to be utilized as an alternative low-cost solution to traditional noise monitoring. Results show that the accuracy of current noise measurement apps varies widely relative to pre-specified reference levels. The high degree of measurement variability associated with such apps renders their robustness questionable in their current state. Further work is required to assess how smartphones with mobile apps may be used in the field and what limitations may be associated with their use. To over come the above issues, this project is developing a platform specifically for citizen science noise assessment. The platform consists of a smartphone app that acquires a sound signal and transfers the data to a server via a web based API for post processing purposes. This then returns key information to the user, as well as logging the data for use in a massive noise mapping study. The structure of the proposed platform maintains a clear separation between client (phone) and server. This approach will allow implementation of future open source client side apps for both Android and iOS operating systems.
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Wang, Guohui, Blaine Rister et Joseph R. Cavallaro. « Workload analysis and efficient OpenCL-based implementation of SIFT algorithm on a smartphone ». Dans 2013 IEEE Global Conference on Signal and Information Processing (GlobalSIP). IEEE, 2013. http://dx.doi.org/10.1109/globalsip.2013.6737002.
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Teh, Peng-Loon, Huo-Chong Ling et Soon-Nyean Cheong. « NFC smartphone based access control system using information hiding ». Dans 2013 IEEE Conference on Open Systems (ICOS). IEEE, 2013. http://dx.doi.org/10.1109/icos.2013.6735039.
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Smirnov, Alexander, Alexey Kashevnik, Igor Lashkov, Olesya Baraniuc et Vladimir Parfenov. « Smartphone-based identification of dangerous driving situations : Algorithms and implementation ». Dans 2016 18th Conference of Open Innovations Association and Seminar on Information Security and Protection of Information Technology (FRUCT-ISPIT). IEEE, 2016. http://dx.doi.org/10.1109/fruct-ispit.2016.7561543.
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Tirado, Guilleum Budia, et Sudhanshu Kumar Semwal. « Autonomous Parking Spot Detection System for Mobile Phones using Drones and Deep Learning ». Dans WSCG'2021 - 29. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision'2021. Západočeská univerzita, 2021. http://dx.doi.org/10.24132/csrn.2021.3002.13.
Texte intégralRésumé :
Many parking lot facilities suffer from capacity over-loads and many times there are no monitoring tools toprovide feedback. As a consequence, the people, want-ing to park, become frustrated as there is considerablyloss of time. In this paper, we present a novel proto-type of an automatic parking-lot analysis platform us-ing image-based machine learning to (a) guide a droneautonomously; and (b) to process useful information tobe handled into a smartphone application to communi-cate with the parking lot users.We have collected a reasonable amount of test imagesto build a classification model using Convolutional neu-ronal networks (CNNs) to classify parking lot images,and build different object detection models to identifyfree and occupied parking spots. Those models havebeen exported to the back-end module of our platformso it can control the drone and record the computed in-formation to its database. In addition, we have imple-mented an iOS application that requests and displaysthe parking lot status and its empty spots.We have been able to prove that this prototype is fea-sible, functional, and opens a path towards future im-provements and refinements. The flight control and thedata classification algorithms have been shown to workusing the machine learning models. In summary, wefound a clear and and concise way to display useful in-formation in real time to our users.
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Ellman, Asko, Robert Wendrich et Tarja Tiainen. « Innovative Tool for Specifying Customer Requirements ». Dans ASME 2014 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/detc2014-35220.
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This paper presents the design and development of an App based tool for specification of customer requirements (CR) for product development. The most Quality Function Deployment (QFD) tools and methods are system based or used as an Excel document for specification and evaluation. Nowadays tool usage, functionality, and interaction can be designed simple, effective and aesthetically pleasing by means of native apps. They can be opened and accessed directly, much quicker, are rewarding, and enhance the user experience, even offline. Furthermore, the dynamic and playful use of an app will stimulate the interaction, motivation, and communication across various information platforms. We describe and show the initial testing and experiments with the Customer Priorities (CP) App and present preliminary findings and results from our ongoing research. This in turn leads and enables designers and engineers to move closer to the future users, understand their wishes, values and choices between passive and active needs. QFD defines mapping between customer requirements and product characteristics. In practice this means that a customer compares two product characteristics at time and defines which one is more important or if they are equally important. The App was tested in a user experiment. We considered a Smartphone as a design example. We asked test users to compare and specify their preferences for ten given product characteristics. Our test user group consists of 32 participants both from Finland and the Netherlands. They were either graduated students or teaching staff from a university. We show preliminary results and findings from user experiment and testing of the App. Furthermore qualitative results achieved in interview with test users will be presented.
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Cowan, Matthew, Joseph Lieberman, Jacob Cimbalista et Bryan Schlake. « Electronic Freight Car Inspection Recording and Application of Internet-of-Things (IoT) and Machine-to-Machine (M2M) Frameworks ». Dans 2018 Joint Rail Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/jrc2018-6192.
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Freight railroad classification yards have been compared to large-scale manufacturing plants, with inbound trains as the inputs and outbound trains as the outputs. Railcars often take up to 24 hours to be processed through a railyard due to the need for manual inbound inspection, car classification, manual outbound inspection, and other intermediate processes. Much of the inspection and repair process has historically been completed manually with handwritten documents. Until recently, car inspections were rarely documented unless repairs were required. Currently, when a defect is detected in the yard, the railcar inspector must complete a “bad order” form that is adhered to each side of the car. This process may take up to ten minutes per bad order. To reduce labor costs and improve efficiency, asset management technology and Internet-of-Things (IoT) frameworks can now be developed to reduce labor time needed to record bad orders, increase inspection visibility, and provide the opportunity to implement analytics and cognitive insights to optimize worker productivity and facilitate condition-based maintenance. The goal of this project is to develop a low-cost prototype electronic freight car inspection tracking system for small-scale (short line and regional) railroad companies. This system allows car inspectors to record mechanical inspection data using a ruggedized mobile platform (e.g. tablet or smartphone). This data may then be used to improve inspection quality and efficiency as well as reduce inspection redundancy. Data collection will involve two approaches. The first approach is the development of an Android-based mobile application to electronically record and store inspection data using a smartphone or rugged tablet. This automates the entire bad order form process by connecting to IBM’s Bluemix Cloudant NoSQL database. It allows for the information to be accessed by railroad mechanical managers or car owners, anywhere and at any time. The second approach is a web-based Machine-to-Machine (M2M) system using Bluetooth low energy (BLE) and beacon technology to store car inspection data on a secure website and/or a cloudant database. This approach introduces the freight car inspection process to the “physical web,” and it will offer numerous additional capabilities that are not possible with the current radio frequency identification device (RFID) system used for freight car tracking. By connecting railcars to the physical web, railcar specifications and inspection data can be updated in real-time and be made universally available. At the end of this paper, an evaluation and assessment is made of both the benefits and drawbacks of each of these approaches. The evaluation suggests that although some railroads may immediately benefit from these technological solutions, others may be better off with the current manual method until IoT and M2M become more universally accepted within the railroad industry. The primary value of this analysis is to provide a decision framework for railroads seeking to implement IoT systems in their freight car inspection practices. As an additional result, the software and IoT source code for the mobile app developed for this project will be open source to promote future collaboration within the industry.