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Tyowati, Sulis, and Rio Irawan. "Implementasi Framework Codeignter Untuk Pengembangan Website Pada Dinas Perkebunan Provinsi Kalimantan Tengah." Jurnal SAINTEKOM 7, no. 1 (April 13, 2017): 67. http://dx.doi.org/10.33020/saintekom.v7i1.22.
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Implementation Framwork CodeIgniter at Plantation Office of Central Kalimantan Province aims to deliver profile information, commodity prices, business partners, announcements, official agenda, gallery activities as well as downloaded files. Method used in this study includes data collection methods (literature review, interviews) and methods of analysis, namely data analysis and systems analysis. The analysis system used is PIECES analysis.
With this website visitor facilities in seeking information about the price of commodities, the announcement and the agenda of the services, download files plantations and can see photos and video activities Plantation Office of Central Kalimantan Province and features that allow visitors to be more efficient in finding the necessary information and features more than the previous blogspot media.
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Chassin, T., and J. Ingensand. "ARE CITY FEATURES INFLUENCING THE BEHAVIOR OF PHOTOGRAPHERS? AN ANALYSIS OF GEO-REFERENCED PHOTOS SHOOTING ORIENTATION." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B4-2021 (June 30, 2021): 353–59. http://dx.doi.org/10.5194/isprs-archives-xliii-b4-2021-353-2021.
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Abstract. Every day millions of social media users upload information as texts, pictures or likes. These online posts are nowadays mainly uploaded via a smartphone, that adds automatically complementary pieces of information such as the device’s location and orientation. This additional material is valuable for public services, and can be used to reinforce knowledge provided by typical methods. This study aims to inquire this additional material to observe the influence of city features on public behavior. A semi-automated workflow is introduced to combine two large datasets: the flickR geo-referenced photos (associated with their shooting orientation) and the OpenStreetMap streets’ network. The study is conducted in the city of Lausanne, Switzerland. This workflow promotes a novel approach to download, filter, compute and visualize large cluttered datasets. The investigations showed a significant difference between South/North photos’ orientation with a South dominance. Furthermore, the photographs’ orientation appears to be related to the street network, or city elements (such as remarkable buildings, fountains) only at a local scale; no connection was established at a larger scale. These results can be useful in urban planning for the diagnosis of a public place practice by its users (i.e., residents, tourists, etc.). An improved diagnosis promotes a better knowledge of a public space’s remarkable elements (by their attractiveness or unsightliness), easing the decision on conservation or transformation of these elements. Other applications are also outlined, notably in the touristic sector or the landscape preservation.
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Subirats, Laia, Natalia Reguera, Antonio Bañón, Beni Gómez-Zúñiga, Julià Minguillón, and Manuel Armayones. "Mining Facebook Data of People with Rare Diseases: A Content-Based and Temporal Analysis." International Journal of Environmental Research and Public Health 15, no. 9 (August 30, 2018): 1877. http://dx.doi.org/10.3390/ijerph15091877.
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This research characterized how Facebook deals with rare diseases. This characterization included a content-based and temporal analysis, and its purpose was to help users interested in rare diseases to maximize the engagement of their posts and to help rare diseases organizations to align their priorities with the interests expressed in social networks. This research used Netvizz to download Facebook data, word clouds in R for text mining, a log-likelihood measure in R to compare texts and TextBlob Python library for sentiment analysis. The Facebook analysis shows that posts with photos and positive comments have the highest engagement. We also observed that words related to diseases, attention, disability and services have a lot of presence in the decalogue of priorities (which serves for all associations to work on the same objectives and provides the lines of action to be followed by political decision makers) and little on Facebook, and words of gratitude are more present on Facebook than in the decalogue. Finally, the temporal analysis shows that there is a high variation between the polarity average and the hour of the day.
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Mullainathan, Sendhil, and Jann Spiess. "Machine Learning: An Applied Econometric Approach." Journal of Economic Perspectives 31, no. 2 (May 1, 2017): 87–106. http://dx.doi.org/10.1257/jep.31.2.87.
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Machines are increasingly doing “intelligent” things. Face recognition algorithms use a large dataset of photos labeled as having a face or not to estimate a function that predicts the presence y of a face from pixels x. This similarity to econometrics raises questions: How do these new empirical tools fit with what we know? As empirical economists, how can we use them? We present a way of thinking about machine learning that gives it its own place in the econometric toolbox. Machine learning not only provides new tools, it solves a different problem. Specifically, machine learning revolves around the problem of prediction, while many economic applications revolve around parameter estimation. So applying machine learning to economics requires finding relevant tasks. Machine learning algorithms are now technically easy to use: you can download convenient packages in R or Python. This also raises the risk that the algorithms are applied naively or their output is misinterpreted. We hope to make them conceptually easier to use by providing a crisper understanding of how these algorithms work, where they excel, and where they can stumble—and thus where they can be most usefully applied.
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Aminah, Ratih Siti, and Muslim . "Parents and Adolescents Pattern of Interpersonal Communication in The Restriction of Smartphone Usage." JHSS (JOURNAL OF HUMANITIES AND SOCIAL STUDIES) 1, no. 1 (September 1, 2017): 50–55. http://dx.doi.org/10.33751/jhss.v1i1.374.
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Communication can be the media of proximity of parents and children. Parents will feel comfortable because they feel the child needs and love him. Conversely, the child will feel happy to get the attention of his parents. The development of communication technology led to a new style of communication style. Parent and child communication is no longer done face-to-face at the dinner table or in the living room. The role of interpersonal communication of parents and children began to shift since the presence of a smart tool that was created able to perform many activities.Communication patterns between adolescent boys and girls tend to be different Young men and women have different tendencies in smartphone use. Female teenagers are more dominant using social media to upload good photographs with friends or photos themselves. Young men use smartphones to play games, download songs, movies or video clips. Teenagers in Indonesia (40-50 percent) is a community of hp (smartphone) users. Teenagers use social media that includes instant messengers like LINE, Instagram, Twitter and other apps like Facebook, Youtube, Vlog and more. There are three patterns of communication that parents do in limiting the use of smartphones in adolescents. The patterns are Authoritarian communication patterns, Democratic communication patterns and Permissive Communication Patterns.Keywords: Communication Patterns, smartphones, restrictions
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Jakob, Lena, Theresa Steeb, Zeno Fiocco, Teodora Pumnea, Sophia Nomi Jakob, Anja Wessely, Christoph Clemens Rothenberger, et al. "Patient Perception of Mobile Phone Apps for the Care and Prevention of Sexually Transmitted Diseases: Cross-Sectional Study." JMIR mHealth and uHealth 8, no. 11 (November 10, 2020): e16517. http://dx.doi.org/10.2196/16517.
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Background In the emerging era of digitalization and electronic health, various health-related apps have been launched, including apps for sexually transmitted diseases. Until now, little has been known about how patients perceive the value of such apps. Objective To investigate patient’s attitudes and awareness toward sexually transmitted disease–related apps in an outpatient sexually transmitted disease clinic setting. Methods A cross-sectional study was conducted at a dermatovenereological outpatient unit between April and July 2019. Patients completed a self-administered questionnaire on their perceptions of the popularity and usefulness of sexually transmitted disease–related apps. Descriptive analysis was performed with expression of categorical variables as frequencies and percentages. For continuous variables, the median, range, and interquartile range were indicated. Contingency tables and chi-square tests were used to investigate associations between sociodemographic data and items of the questionnaire. Results A total of 226 patients were surveyed (heterosexual: 137/193, 71.0%; homosexual: 44/193, 22.8%; bisexual: 12/193, 6.2%); 11.9% (27/225) had previously used health-related apps. Nearly half of the patients (97/214, 45.3%) specifically considered sexually transmitted disease–related apps useful, 47.8% (100/209) voted that they could supplement or support the consultation of a physician. Interestingly, only 35.1% (74/211) preferred a printed patient brochure on sexually transmitted diseases over downloading and using an app, but 64.0% (134/209) would download a sexually transmitted disease–related app recommended by their physician. General information regarding sexually transmitted diseases (93/167, 55.7%), evaluation of skin diseases based on photos or videos (78/167, 53.3%), information on the prevention of sexually transmitted diseases (76/167, 45.5%), mediation of nearby contact points or test sites (74/167, 44.3%), anonymous medical advice (69/167, 41.3%), and calculation of the risk of having a sexually transmitted disease (63/167, 37.3%) were rated as the most important features. Men were more likely than women to find sexually transmitted disease–related apps useful in general (P=.04; χ2=6.28) and to pay for such apps (P=.01; χ2=9.19). Patients aged <40 years would rather download an app recommended by their physician (P=.03; χ2=7.23), whereas patients aged >40 years preferred reading a patient brochure on sexually transmitted diseases (P=.02; χ2=8.14). Conclusions This study demonstrated high general interest in the use of sexually transmitted disease–related apps in this sample of dermatovenereological outpatients. In particular, young age and male sex were significantly associated with a positive perception, underlining the high potential of apps in the prevention and early recognition of sexually transmitted diseases in this group. Future studies are warranted to validate these findings in other populations.
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Ristanti, Fika. "Padlet-Based in German Learning as a Trigger for Learning Motivation During a Pandemic." Ideguru: Jurnal Karya Ilmiah Guru 6, no. 2 (May 1, 2021): 144–52. http://dx.doi.org/10.51169/ideguru.v6i2.240.
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The purpose of writing this best practice is to impelement the use of padlets and find out the results and impact of using padlets on student’s motivation learning in German during the Covid-19 pandemic. The strategy used is using padlets. Padlet is a free online whiteboard app that has many advantages. By using padlets, teachers and students can upload and download various documents in the form of videos, photos, voice recordings, texts or other documents and can be updated at any time. Padlet is an atrractive medium and very easy to use. The method used in this best practice research is qualitative descriptive. Padlet is implemented to deliver “Familie, Wohnung, Essen und Trinken”material for class XI MIPA 1 and “Freizeit, Reisen, Tagesablauf der Lieblingsfiguren” material for class XII IPS 1, XII IPS 2 in the odd semester of the 2020/2021 school year (August-November) at SMAN 2 Wates. The steps in this implementation consist of the preparation, implementation and evaluation. The end of this best practice activity is that author gives a questionnaire to students regarding the evaluation of using padlets, which are then analyzed and used as basis for making conclusions. From the questionnaire, it was found more than 80% of students felt happy and interested in participating in distance learning when using padlet. More than 80% of students do assigments on time and more than 75% students no longer feel reluctant to ask questions or discuss with teachers or other students. The four indicators than used as author to make conclusion that padlet can increase students’ motivation learning to learn German during the Covid-19 pandemic.
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Lin, Chao-Hung, Jyun-Yuan Chen, Shun-Siang Hsu, and Yun-Huan Chung. "Automatic tourist attraction and representative icon determination for tourist map generation." Information Visualization 13, no. 1 (January 27, 2013): 18–28. http://dx.doi.org/10.1177/1473871612472177.
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Tourist maps are designed to direct tourists to tourist attractions in unfamiliar areas. A well-designed tourist map can provide tourists with sufficient and intuitive information about places of interest. Thus, providing up-to-date information on places of interest and selecting their representative icons are fundamental and important in automatic generation of tourist maps. In this article, approaches for determining places of interest and for determining their representative icons are introduced. In contrast to general digital tourist maps that use text, simple shapes, or three-dimensional models, we use photos that offer abundant visual features of places of interest as icons in tourist maps. The photos are automatically extracted from a repository of photos downloaded from photo-sharing communities. Tourist attractions and their corresponding image icons are determined by means of photo voting and photo quality assessment. Qualitative analyses, including a user study and experiments in several areas with numerous tourist attractions, indicated that the proposed method can generate visually pleasant and elaborate tourist maps. In addition, the analyses indicated that the map produced by our method is better than maps generated by related methods and is comparable to hand-designed tourist maps.
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Rosati, Dora P., Matthew H. Woolhouse, Benjamin M. Bolker, and David J. D. Earn. "Modelling song popularity as a contagious process." Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences 477, no. 2253 (September 2021): 20210457. http://dx.doi.org/10.1098/rspa.2021.0457.
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Popular songs are often said to be ‘contagious’, ‘infectious’ or ‘viral’. We find that download count time series for many popular songs resemble infectious disease epidemic curves. This paper suggests infectious disease transmission models could help clarify mechanisms that contribute to the ‘spread’ of song preferences and how these mechanisms underlie song popularity. We analysed data from MixRadio, comprising song downloads through Nokia cell phones in Great Britain from 2007 to 2014. We compared the ability of the standard susceptible–infectious–recovered (SIR) epidemic model and a phenomenological (spline) model to fit download time series of popular songs. We fitted these same models to simulated epidemic time series generated by the SIR model. Song downloads are captured better by the SIR model, to the same extent that actual SIR simulations are fitted better by the SIR model than by splines. This suggests that the social processes underlying song popularity are similar to those that drive infectious disease transmission. We draw conclusions about song popularity within specific genres based on estimated SIR parameters. In particular, we argue that faster spread of preferences for Electronica songs may reflect stronger connectivity of the ‘susceptible community’, compared with the larger and broader community that listens to more common genres.
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Counts, Derek B. "The Cesnola Collection of Cypriot Art: Stone Sculpture. 1st rev. ed. By Antoine Hermary and Joan R. Mertens. New York: Metropolitan Museum of Art, 2015. 435 pp., color photos and maps. Available as PDF download." Bulletin of the American Schools of Oriental Research 378 (November 2017): 242–44. http://dx.doi.org/10.5615/bullamerschoorie.378.0242.
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Hartono, Hendri, and Dominikus Nunnun Bonafix. "Fenomena Aplikasi Pengolah Foto Digital pada Ponsel Pintar di Masyarakat Kota." Humaniora 6, no. 1 (January 30, 2015): 59. http://dx.doi.org/10.21512/humaniora.v6i1.3298.
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Digital photography has recently developed rapidly. Apart from the development of film media to digital, digital itself develops significantly, especially in media aspect which a camera nowadays is not only used for taking pictures, but also can be implanted in other media, for instance smartphones or tablets. It is very common that mobiles have built-in cameras. The quality of image offered is getting better. The development of smartphone technology has reached to a certain capability to run an operational system as it is in computer media so that there are a lot of softwares or applications created. One of them is an application for photo editing. Photo editing applications in smartphones are created because of the development of applications in social media which is rapidly developed in mobile media. Social media has recently been a need for city people, in the fast and modern society. Social media is a media for interaction. One form of the interactions is photography which many applications in social media offering sharing photos fast and easily so that city people can update any or all activities or through photos which are uploaded in social media. Photo editing applications in smartphones eventually become the most downloaded applications. Therefore, people have more options to try or use various photo editing applications offering instant photo editing to suit their wish.
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Zhang, Wenyuan, Guoxin Tan, Ming Lei, Xiaomei Guo, and Chuanming Sun. "Detecting tourist attractions using geo-tagged photo clustering." Chinese Sociological Dialogue 3, no. 1 (January 29, 2018): 3–16. http://dx.doi.org/10.1177/2397200917752649.
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Millions of geo-tagged photos are becoming available due to the wide spread of photo-sharing websites, which provide valuable information to mine spatial patterns from human activities. In this study, we present a simple and fast density-based spatial clustering algorithm to detect popular scenic spots using geo-tagged photos collected from Flickr. In this algorithm, Gaussian kernel is applied to estimate local density of data points, and a decision graph is used to obtain cluster centers easily. More than 289,000 geo-tagged photos located in five typical cities of China are downloaded as case studies, and data pre-processing such as duplicate removing is performed to improve the quality of clustering result. Finally, popular tourist attractions of each sample city are successfully detected with this algorithm, and our result is useful for recommending some interesting destinations which might not be on the list of tourist website or mobile guide applications. The proposed solution is robust with respect to different distributions of photos, and it is efficient by comparing with other popular clustering approaches.
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Madson, Austin, and Yongwei Sheng. "Automated Water Level Monitoring at the Continental Scale from ICESat-2 Photons." Remote Sensing 13, no. 18 (September 11, 2021): 3631. http://dx.doi.org/10.3390/rs13183631.
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Of the approximately 6700 lakes and reservoirs larger than 1 km2 in the Contiguous United States (CONUS), only ~430 (~6%) are actively gaged by the United States Geological Survey (USGS) or their partners and are available for download through the National Water Information System database. Remote sensing analysis provides a means to fill in these data gaps in order to glean a better understanding of the spatiotemporal water level changes across the CONUS. This study takes advantage of two-plus years of NASA’s ICESat-2 (IS-2) ATLAS photon data (ATL03 products) in order to derive water level changes for ~6200 overlapping lakes and reservoirs (>1 km2) in the CONUS. Interactive visualizations of large spatial datasets are becoming more commonplace as data volumes for new Earth observing sensors have markedly increased in recent years. We present such a visualization created from an automated cluster computing workflow that utilizes tens of billions of ATLAS photons which derives water level changes for all of the overlapping lakes and reservoirs in the CONUS. Furthermore, users of this interactive website can download segmented and clustered IS-2 ATL03 photons for each individual waterbody so that they may run their own analysis. We examine ~19,000 IS-2 derived water level changes that are spatially and temporally coincident with water level changes from USGS gages and find high agreement with our results as compared to the in situ gage data. The mean squared error (MSE) and the mean absolute error (MAE) between these two products are 1 cm and 6 cm, respectively.
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Suresh, Hetal, and Joseph Raymond V. "A Neural Network Based Hybrid Approach for Analysing and Detecting Malware Threat in Android Applications." International Journal of Engineering & Technology 7, no. 4.6 (September 25, 2018): 410. http://dx.doi.org/10.14419/ijet.v7i4.6.28452.
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Mobile phones has become very integral part in our day to day life. In the digitalized world most of our day to day activities rely on mobile phone like banking activities, wallet payments, credentials, social accounts etc. Our system works in such a way that if there is an advantage to a technology there also exists a disadvantage. Every users have all their private and sensitive data in their mobile phones and download random applications from different platforms like play store, App store etc. There is a huge possibility that the applications downloaded are malicious applications. The existing system provides a solution for detection of such applications with the help of antivirus which has pre-built signatures that can be used to obtain an already existing malware which can be modified and manipulated by the hacker if they tend to do so. In this project, our purpose is to identify the malicious applications using Machine learning. By combining both static analysis and dynamic analysis we can use a Hybrid approach for analysing and detecting malware threats in android applications using Recurrent Neural Network (RNN). The main aim of this project will be to ensure that the application installed is benign, if it is not, it should block such applications and notify the user.
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Farahani, Leila Mahmoudi, Bahareh Motamed, and Maedeh Ghadirinia. "INVESTIGATING HERITAGE SITES THROUGH THE LENS OF SOCIAL MEDIA." JOURNAL OF ARCHITECTURE AND URBANISM 42, no. 2 (December 12, 2018): 199–211. http://dx.doi.org/10.3846/jau.2018.7057.
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Today, our understanding and experience of heritage sites have been reframed by the advent of social media and the ubiquitous use of smartphones that offer more participatory ways of interacting with heritage. The lifespan of a heritage site is highly concerned with how it is understood and experienced by visitors. This study aims to investigate a heritage site and its participatory culture through the lens of social media and how a certain heritage site could be understood by these online networks. The historic city of Shiraz packed with several monumental buildings and heritage sites has been chosen as the case study of this research. Three social media platforms of Flickr, 500px and Instagram were investigated during 2015 and their photos of Shiraz were downloaded for analysis. The analysis of more than 186 images from these websites has provided an opportunity to investigate how the historical district of Shiraz is remembered in the eyes of social media users. Based on the initial photo audits, Nasir-al-Molk Mosque with more than 74 published images was the most published building and therefore was selected for an in-depth photo survey analysis. The Nasir-al-Molk Mosque images were studied regarding the physical and spiritual qualities of its building and how they contribute to its popularity among social media photographers.
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Bettaieb, Bochra, and Yoshiki Wakabayashi. "Spatial Analysis of Tourist Spots in Central Tokyo Using Online Geotagged Photographs from Flickr." Abstracts of the ICA 1 (July 15, 2019): 1. http://dx.doi.org/10.5194/ica-abs-1-27-2019.
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<p><strong>Abstract.</strong> Advancements in information and communication technologies enable us to trace human activities through digital media; networks of fixed or mobile sensors, such as smartphones, global positioning systems, and travel cards, can monitor the timing and locations of human behavior throughout the day. These new sources of geospatial data provide the possibility of analyzing high-resolution big data to capture patterns of human spatial behavior across space and time. Online photo-sharing services are comprised of such sources. This study analyzes the geocoded photos from a photo-sharing service to make a comparison of the varying spatial patterns of tourist attractions in Tokyo as differentiated between those taken by Japanese and foreign visitors.</p><p> We selected three places (Shinjuku, Asakusa, and Ginza) as study districts from the five top places frequently visited by foreigners based on the 2014 Survey Report of Foreigner Behavior. The data were downloaded from Flickr, one of the most popular online platforms for people to share their travel experiences by uploading photos. We used the data of geocoded photos from 2014, taken within 1 km from Shinjuku, Ginza, and Asakusa stations. Information on the nationality of contributors recorded in the Flickr data was used to compare the tourist spots of Japanese and foreign visitors. To identify the tourist spot, we employed a hotspot analysis using geographic information systems.</p><p> The obtained results showed some tourist spots common to Japanese and foreign visitors in three study areas, namely, places close to railroad stations. However, the distribution of foreigners’ photographs showed a higher spatial concentration than those taken by Japanese tourists. This tendency is consistent with the findings obtained by Suzuki and Wakabayashi (2008), wherein they compared photos of tourist attractions in guide books of Tokyo. This comparative difference can be explained by the accessibility of railroad stations; in other words, foreigners rely more on public transportation during their comparatively short stays.</p><p> Spatial patterns of tourist spots varied with the study district in question. In Shinjuku and Ginza, there are differences in tourist spots between Asians and Europeans. Particularly, European tourists’ hot spots tend to be more scattered than Asians. However, such differences are not observed in Asakusa, where tourists’ hot spots are concentrated around Sensoji Temple and Tokyo Sky Tree. The reason for this is that tourist attractions are concentrated in and around specific facilities in the Asakusa district. Hence, the variations of tourist spots obtained by analyzing the geotagged photographs on Flickr can be explained by the difference in behavior and interest of foreign tourists between countries, as well as the spatial distribution of tourist attractions.</p>
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Riquelme, Adrián, Roberto Tomás, Miguel Cano, José Luis Pastor, Brian Gootee, and Joseph P. Cook. "Reconstruction of earth fissures 3-D from videos." Proceedings of the International Association of Hydrological Sciences 382 (April 22, 2020): 677–81. http://dx.doi.org/10.5194/piahs-382-677-2020.
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Abstract. Earth fissures are pervasive cracks that develop on valley floors as a consequence of land subsidence associated with extensive groundwater withdrawal. To capture geometrical, geological and geotechnical information of ground fissures is of paramount importance for their characterization. Recent advances in remote sensing techniques and the accessibility to remotely piloted aircraft systems (RPAS) as well as the evolution of onboard digital cameras enable the capture of digital photos and videos. Using digital photos along with the Structure from Motion (SfM) technique and following certain strategies, we can reconstruct a 3-D model of the earth fissures under study. This technique requires digital photos, but when a digital video is available, we can convert it into a set of frames and equally apply the procedure. Besides, the extraction of frames from a video assures a key condition for the SfM technique: the overlap between photos. The resulting 3-D model should be scaled and oriented using a rigid transformation matrix or even better including ground control points (GCP) into the captured photos or frames. The latter enables the geo-referencing of the point cloud and the correction of linear and non-linear deformations. In this work, the proposed methodology is illustrated through the application of SfM technique to a high-resolution video downloaded from YouTube (i.e. https://youtu.be/9xdAnftBKvY, last access: 20 February 2020). The video shows a mile-long earth fissure that appeared sometime between March 2014 and December 2014 near the Tator Hills (Arizona, USA) over Quaternary sediments. The Arizona Geological Survey captured these videos using an RPAS. The frames of the video were downloaded and extracted using a simple Matlab code. Then, we sub-sampled the frames and processed them using the software Agisoft Metashape Professional. Finally, we got metric data from Google Earth and generated a 3-D model. The quality of the 3-D model strongly depends on the quality of the photos and the GCP. However, this study shows the potential of this technique, instrumentation and data available on Internet for the development of 3-D point clouds and 3-D models for the detailed analysis of earth fissures.
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Mandujano, Salvador, and Odalis Morteo-Montiel. "SUGERENCIAS PARA ORGANIZAR, ADMINISTRAR Y EXPORTAR DATOS DE FOTO-TRAMPEO CON EL PROGRAMAWILD.ID." Revista Mexicana de Mastozoologia 1, no. 2 (December 15, 2018): 31. http://dx.doi.org/10.22201/ie.20074484e.2018.1.2.263.
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ResumenEl foto-trampeo es una técnica de monitoreo de fauna que permite de forma relativamente sencilla la obtención de cientos de miles de datos en formato de fotografía, pero que requiere de herramientas para organizar esta información. Para este fin se han creado programas y aplicaciones disponibles en internet. En este artículo se detalla los pasos principales para usar el programa Wild.ID el cual permite etiquetar y organizar fotos en un tiempo corto. Una vez instalado, el proceso consta de tres pasos: 1) crear un proyecto, 2) cargar las fotos y etiquetarlas con el nombre científico de las especies, y 3) generar archivos de salida en formato Excel y .csv los cuales pueden ser usados para analizar diferentes aspectos (riqueza de especies, ocupación y abundancia, captura-recaptura, patrones de actividad y otros) en otros programas y en paquetes R. Para ejemplificar el uso del programa, en este artículo se emplea una base de datos obtenidos de un proyecto de monitoreo de fauna en la Reserva de Biósfera Tehuacán-Cuicatlán.Palabras clave: cámaras-trampa, monitoreo, especies, etiquetar metadatos, gestión información, formatos exportables.AbstractThe photo-trapping is a growing method for wildlife monitoring since it allows obtaining hundreds of thousands of photos in a relatively simple way. Tools are required to manage this massive data in a simple way. For this purpose different programs and applications are available in internet. This article details the use of the Wild.ID program, which is easy to use; allow tagging and organizing many photos in a relatively short time. Once installed, the process consists of three steps: 1) create a project, 2) upload the photos and label them with the scientific name of the species, and 3) generate files in Excel and .csv formats which can be used to analyze different aspects (species richness, occupation and abundance, capture-recapture, activity patterns and others) in other programs and in R packages. To exemplify the use of this program, in this article is used a set of data obtained from a wildlife monitoring project in the Tehuacán-Cuicatlán Biosphere Reserve. Wild.ID can be downloaded freely and works on the most common operating systems.Key words: cameras-trap, monitoring, species, label metadata, information management, exportable formats.
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Han, Dan Dan, Tian Chi Zhang, and Jing Zhang. "Design and Implementation of Intelligent Digital Photo Frame Based on FPGA." Applied Mechanics and Materials 380-384 (August 2013): 3296–99. http://dx.doi.org/10.4028/www.scientific.net/amm.380-384.3296.
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SOPC technology of Nios II is Used for the design of intelligent digital photo frame in this paper. Developers can integrate design according to actual needs, fundamentally changing the lack of traditional design. Digital photo frame as a whole project is divided into two parts of the hardware module and software system. Functional correctness is verified by Quartus II, further downloaded to the FPGA for debugging, the observation results showed that digital photo frame has a high degree of freedom in the system optimization, which can be extended the life of the product on the market, greatly improving the performance of multi-function digital photo frame.
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Fan, Lijie, Wenbing Huang, Chuang Gan, Junzhou Huang, and Boqing Gong. "Controllable Image-to-Video Translation: A Case Study on Facial Expression Generation." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 3510–17. http://dx.doi.org/10.1609/aaai.v33i01.33013510.
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The recent advances in deep learning have made it possible to generate photo-realistic images by using neural networks and even to extrapolate video frames from an input video clip. In this paper, for the sake of both furthering this exploration and our own interest in a realistic application, we study imageto-video translation and particularly focus on the videos of facial expressions. This problem challenges the deep neural networks by another temporal dimension comparing to the image-to-image translation. Moreover, its single input image fails most existing video generation methods that rely on recurrent models. We propose a user-controllable approach so as to generate video clips of various lengths from a single face image. The lengths and types of the expressions are controlled by users. To this end, we design a novel neural network architecture that can incorporate the user input into its skip connections and propose several improvements to the adversarial training method for the neural network. Experiments and user studies verify the effectiveness of our approach. Especially, we would like to highlight that even for the face images in the wild (downloaded from the Web and the authors’ own photos), our model can generate high-quality facial expression videos of which about 50% are labeled as real by Amazon Mechanical Turk workers.
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Mohassel, Payman, Ostap Orobets, and Ben Riva. "Efficient Server-Aided 2PC for Mobile Phones." Proceedings on Privacy Enhancing Technologies 2016, no. 2 (April 1, 2016): 82–99. http://dx.doi.org/10.1515/popets-2016-0006.
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AbstractSecure Two-Party Computation (2PC) protocols allow two parties to compute a function of their private inputs without revealing any information besides the output of the computation. There exist low cost general-purpose protocols for semi-honest parties that can be efficiently executed even on smartphones. However, for the case of malicious parties, current 2PC protocols are significantly less efficient, limiting their use to more resourceful devices. In this work we present an efficient 2PC protocol that is secure against malicious parties and is light enough to be used on mobile phones. The protocol is an adaptation of the protocol of Nielsen et al. (Crypto, 2012) to the Server-Aided setting, a natural relaxation of the plain model for secure computation that allows the parties to interact with a server (e.g., a cloud) who is assumed not to collude with any of the parties. Our protocol has two stages: In an offline stage - where no party knows which function is to be computed, nor who else is participating - each party interacts with the server and downloads a file. Later, in the online stage, when two parties decide to execute a 2PC together, they can use the files they have downloaded earlier to execute the computation with cost that is lower than the currently best semi-honest 2PC protocols. We show an implementation of our protocol for Android mobile phones, discuss several optimizations and report on its evaluation for various circuits. For example, the online stage for evaluating a single AES circuit requires only 2.5 seconds and can be further reduced to 1 second (amortized time) with multiple executions.
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Morris, Keith J. "The Scanning of Colour and B&W Film and Photographs for Image Processing, Analysis and Archiving - On a Tight Budget." Microscopy Today 14, no. 3 (May 2006): 42–49. http://dx.doi.org/10.1017/s1551929500057667.
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Despite the advent of the new PC based digital camera era, there is still a vast archive of film. The obvious thing to do is to scan film optically using a high resolution film scanner and to convert the image into a digital file for digital distribution, PC archiving, and image processing. The likes of NASA can easily afford the best $20k plus PMT drum scanners and pro flatbed scanners for their spaceflight photo archives. See some professional scanners at http://www.imacon.dk, http://www.aztek.com, http://graphics.kodak.com (Creo) and http://www.flatbed-scanner-review.org. You can download selections from the NASA digitised archive at http://grin.hq.nasa.gov.
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V., Vinay K., and Vishal K. "SMARTPHONE APPLICATIONS FOR MEDICAL STUDENTS AND PROFESSIONALS." Journal of Health and Allied Sciences NU 03, no. 01 (March 2013): 59–62. http://dx.doi.org/10.1055/s-0040-1703635.
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AbstractMobile phones have been widely used for several decades, but the smartphones are a more recent advance. The latest generation of smartphones are increasingly viewed as handheld computers rather than as just phones, due to their powerful on-board computing capability and open operating systems that encourage application download and development. In a relatively short period of time, smartphone technology has penetrated significantly into society from school children to senior citizens. The level of smartphone usage by medical students and professionals is increasing day by day with the extensive availability of downloadable medical applications related to medical education and health. This article mentions about the useful and popular smartphone applications for medical students and practitioners which helps to integrate technology into clinical practice.
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Gede, Mátyás, and Bálint Kádár. "Analysing tourism movements along the Danube river based on geotagged Flickr photography." Proceedings of the ICA 2 (July 10, 2019): 1–5. http://dx.doi.org/10.5194/ica-proc-2-37-2019.
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<p><strong>Abstract.</strong> The Danube, connecting ten countries with large cities, national parks and other smaller destinations is a branded as integrated destination system of Europe. This paper examines the behaviour of visitors along the river by analysing the spatio-temporal distribution of geotagged photos shared on Flickr. The authors downloaded the metadata of more than 2 million geotagged photos along the river, and created a weighed movement graph based on the short time-interval user movements. The network analysis of the graph revealed the central integrating effect of the large capital cities on the entire system. Modularity analysis indicated 18 regional tourism clusters, which are connected into three major separated destination systems which have little relation between them and the isolated clusters of Lower Danube.</p><p>This paper discusses the method of data aggregation as well as the tools used and created for visualising and analysing the data.</p>
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Angel, Ross J., Mara Murri, Boriana Mihailova, and Matteo Alvaro. "Stress, strain and Raman shifts." Zeitschrift für Kristallographie - Crystalline Materials 234, no. 2 (February 25, 2019): 129–40. http://dx.doi.org/10.1515/zkri-2018-2112.
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AbstractThe concept of the phonon-mode Grüneisen tensor is reviewed as method to determine the elastic strains across crystals from the changes in the wavenumbers of Raman-active phonon modes relative to an unstrained crystal. The symmetry constraints on the phonon-mode Grüneisen tensor are discussed and the consequences for which combinations of strains can be determined by this method are stated. A computer program for Windows, stRAinMAN, has been written to calculate strains from changes in Raman (or other phonon) mode wavenumbers, and vice-versa. It can be downloaded for free from www.rossangel.net.
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Waegel*, Alice S. "Using Digital Imaging to Enhance Learning in Undergraduate Plant Biology Courses." HortScience 39, no. 4 (July 2004): 809B—809. http://dx.doi.org/10.21273/hortsci.39.4.809b.
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With grant funds for upgrading technology in undergraduate science laboratories, digital cameras and microscopes were acquired for use in undergraduate biology laboratories. The digital imaging equipment has been used to enhance student learning in both Bio 244 Plant Biology and Bio 480 Biology Independent Study. In the student research oriented independent study course, digital photo-microscopy with a Nikon Digital Still camera (DXM 1200) mounted on a Nikon Stereo-scopic Zoom microscope (SMZ800) was used to illustrate a research project involving the effect of mycorrhizae fungi on root development of the shining club moss Huperzia lucidula. Digital photomicrographs of fungi isolated from the roots of H. lucidula collected in the wild were included in the student researcher's final PowerPoint report on the experiment. In Bio 244 Plant Biology the digital imaging equipment was used in a tree identification project. Students took Nikon Coolpix 995 cameras to a local arboretum (Tyler Arboretum, Media, Pa.) where, after minimal instruction in camera operation, they took photographs of 10 trees for inclusion in a tree identification PowerPoint presentation. Each pair of students selected different trees from their peers, taking shots of overall habit, leaves, bark, and flowers/fruit if present. Photos were downloaded onto lab computers at the conclusion of the field trip. The students were then responsible for incorporating descriptive text and digital images into PowerPoint presentations shown to the class later in the semester. Students and professor participated in the grading process, using a rubric which students helped design. In the end of course evaluations, digital imaging projects were highly rated by students.
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Rahardja, Untung, Nikita Jova Tejosuwito, and Fernanda Setyobudi Armansyah. "PERANCANGAN APLIKASI PEN+ BERBASIS MOBILE UNTUK MEMUDAHKAN KINERJA DOSEN PADA PERGURUAN TINGGI." Technomedia Journal 1, no. 2 (March 1, 2017): 50–60. http://dx.doi.org/10.33050/tmj.v1i2.45.
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Kecanggihan teknologi device yang semakin merambah di dunia pengetahuan dan teknologi membuat pengembangan sistem pemanfaatan baru seperti aplikasi Pen+ berbasis mobile yang dimanfaatkan oleh dosen dalam menginput hasil nilai ujian mahasiswa. Seluruh orang di dunia pasti memiliki handphone. Teknologi yang digunakan pada handphone kini telah menjadi smartphone yang lebih banyak fitur-fitur aplikasi yang canggih menggunakan jaringan internet. Oleh karena itu dengan mengembangkan suatu aplikasi Pen+ berbasis mobile yang dapat di akses secara online untuk dosen bisa melakukan penginputan nilai lebih cepat dan efektif. Aplikasi Pen+ berbasis mobile yang digunakan juga mempermudah pelayanan dengan lebih dahulu login dengan email secara pribadi dan lebih nyaman dibutuhkan kapan saja. Pengembangan aplikasi Pen+ juga melalui perencanaan, desain, dan pengujian. Maka hasil dari penelitian ini yaitu dimana aplikasi Pen+ berbasis mobile dapat di download dengan mudah dan kapan saja untuk memudahkan penilaian secara online.
Kata Kunci : Aplikasi, Pen+, Mobile, Dosen
The sophistication of device technology is increasingly pervasive in the world of knowledge and technology makes the development of new systems such as the utilization of Pen + based mobile application that is used by lecturer in entering the results of student test scores. All the people in the world would have a mobile. The technology used in mobile phones have now become more smartphone features advanced application uses the internet. Therefore, by developing a Pen + based mobile application that can be accessed online to the lecturer can make inputting values more quickly and effectively. Pen + based mobile application that is used also facilitate service with advance login with your email private and more comfortable whenever needed. Pen + application development also through planning, design, and testing. So the results of this analysis, which Pen + based mobile application can be downloaded easily and at any time to facilitate the online assessment.
Keywords : Applications, Pen +, Mobile, Lecturer
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Sharma, Ritu. "Android Application Development." International Journal for Research in Applied Science and Engineering Technology 9, no. VI (June 30, 2021): 3188–92. http://dx.doi.org/10.22214/ijraset.2021.35425.
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Technology is being used and improved by human beings over a long period of time now and Smartphones is one of them. Smart Phones contain touch screen, built in keyboard, high resolution camera, front side camera for video conferencing, etc. They are used for making and receiving calls, sending and receiving messages, accessing the Internet, digital media, incorporating audio/video recording etc. Different smart phones have different operating systems and mobile applications are developed for each operating system in smart phones, tablet or mobile phones, in order to serve the needs of the user. These apps are either preinstalled or downloadable from online app market that can do almost everything. Apps make a mobile be like a portable computer having multi core processors, gigabytes of memory and a real operating system. Originally mobile apps were made available for only calling, messaging and informational purposes like calendar, weather forecast, e- mail, etc. With improvement in technology and increase in user demands, developers started making apps for other purposes like games, banking, video chats etc. Some apps are also used to present data in the same format as on a computer website and also allow you to download content that you can use when there is no Internet. There are many apps available in market today for different Operating Systems in which Android is having the maximum market share these days.
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Wang, Chao-Ming, and Yu-Hui Lin. "CONSTRUCTION OF A SOMATOSENSORY INTERACTIVE SYSTEM BASED ON COMPUTER VISION AND AUGMENTED REALITY TECHNIQUES USING THE KINECT DEVICE FOR FOOD AND AGRICULTURAL EDUCATION." International Journal of Engineering Science Technologies 5, no. 2 (March 8, 2021): 1–37. http://dx.doi.org/10.29121/ijoest.v5.i2.2021.162.
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A somatosensory interactive system based on computer vision and augmented reality (AR) techniques using the Kinect device is proposed, on which a game of harvesting three kinds of fruit can be played for food and agricultural education. The Kinect is used to capture users’ motion images, the Unity3D is used as the game engine, and the Kinect SDK is used for developing programs, to implement the tasks of face detection and tracking, hand-gesture recognition, and body-model matching and tracking involved in fruit-harvesting activities. AR-based photos of the harvest result can be taken and downloaded as souvenirs. The system was exhibited and observations of the users’ performances as well as interviews with experts and the users were conducted. The collected opinions were used to evaluate the effectiveness of the system, reaching the following conclusions: 1) the interactive experience of using this system is simple and intuitive; 2) the use of body movements for man-machine interaction is given positive reviews; 3) the introduction of somatosensory interactive education can arouse participants’ interest, achieving the effect of edutainment; and 4) the experience of taking commemorative photos can achieve the publicity and promotion effect of food and agricultural education through sharing on social media.
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Dong, X. C., and V. I. Ionin. "Using object-oriented databases in face recognition." «System analysis and applied information science», no. 2 (August 18, 2020): 54–60. http://dx.doi.org/10.21122/2309-4923-2020-2-54-60.
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The aim of the work is to develop an algorithm functioning by a face recognition system using object-oriented databases. The system provides automatic identification of the desired object or identifies someone using a digital photo or video frame from a video source. The technology includes comparing pre-scanned face elements from the resulting image with prototypes of faces stored in the database. Modern packages of object-oriented databases give the user the opportunity to create a new class with the specified attributes and methods, obtain classes that inherit attributes and methods from super classes, create instances of the class, each of which has a unique object identifier, extract these instances one by one or in groups, and also download and perform these procedures. Using a convolutional neural network in the algorithm allows the transition from specific features of the image to more abstract details.
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Wang, Fei Chao. "A Novel Approach to Mine Knowledge from Social Images." Advanced Materials Research 430-432 (January 2012): 1068–71. http://dx.doi.org/10.4028/www.scientific.net/amr.430-432.1068.
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With the popularity of various social media website, currently, lots of social images attached with different kinds of metadata have been uploaded to social media websites. Mining useful knowledge from social images has been an emerging important research topic in web search and data mining. In this paper, we propose a novel approach to find geographical difference of a given concept from social image community. We put a given concept to social image community, and then downloaded social images with metadata, particularly, the place where the photo was taken should be provided in advance. Firstly, concept is submitted to social image community, and then social images with different kinds of metadata are downloaded. Secondly, social images are clustered according to metadata of images. Finally, the information of concept’s geographical difference is found. Experiments conducted on social image community proof the effectiveness of our approach. Keywords: Social Images, Data Mining, Social Image Community, Image Clustering.
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Ekler, Péter, and Kristóf Csorba. "The Usage and Behavior Patterns of Mobile BitTorrent Clients." Journal of Advanced Computational Intelligence and Intelligent Informatics 18, no. 3 (May 20, 2014): 320–23. http://dx.doi.org/10.20965/jaciii.2014.p0320.
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With the many changes in mobile phone use, it is now common for users to connect to the Internet and share social and multimedia data, and peer-to-peer technology remains one of the most efficient solutions to content sharing. We analysed the lifecycle of content shared using the BitTorrent network, focusing on torrents retrieved by mobile phone clients using our MobTorrent application. MobTorrent, a complete Bit-Torrent client for feature phones, enables anonymous usage statistics to be collected. Based on statistics collected over the last three years, we analyze how mobile BitTorrent clients are being used. We discuss the success of individual sessions by additionally measuring peer connection download and success ratio statistics. This research can be considered as a pioneer work in the field of mobile content sharing solutions.
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Campos, Isabel, Patrick Fritzsch, Martin Hansen, Marina Krstić Marinković, Agostino Patella, Alberto Ramos, and Nazario Tantalo. "openQ*D simulation code for QCD+QED." EPJ Web of Conferences 175 (2018): 09005. http://dx.doi.org/10.1051/epjconf/201817509005.
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The openQ*D code for the simulation of QCD+QED with C* boundary conditions is presented. This code is based on openQCD-1.6, from which it inherits the core features that ensure its efficiency: the locally-deflated SAP-preconditioned GCR solver, the twisted-mass frequency splitting of the fermion action, the multilevel integrator, the 4th order OMF integrator, the SSE/AVX intrinsics, etc. The photon field is treated as fully dynamical and C* boundary conditions can be chosen in the spatial directions. We discuss the main features of openQ*D, and we show basic test results and performance analysis. An alpha version of this code is publicly available and can be downloaded from http://rcstar.web.cern.ch/.
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Blagojevic, Marija, and Stefan Sosic. "Application of cluster analysis in the behaviour of traffic participants relating to the use of safety systems and mobile phones." Facta universitatis - series: Electronics and Energetics 33, no. 4 (2020): 655–68. http://dx.doi.org/10.2298/fuee2004655b.
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This paper presents a cluster analysis related to the behavior of traffic participants in relation to the use of safety systems and mobile phones. The data on traffic behavior were downloaded from an open data portal in Serbia. Three types of cluster analysis have been applied: hierarchical clustering, Bayesian Information Criterion (BIC) clustering and model clustering. The obtained results point to the various possibilities of using these three clustering methods in the field of traffic and suggest further research.
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Baytiyeh, Hoda. "Students' Use of Mobile Technologies." International Journal of Information and Communication Technology Education 14, no. 1 (January 2018): 73–85. http://dx.doi.org/10.4018/ijicte.2018010106.
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Mobile technologies are all-pervasive in the current digital generation, and college students rely on their mobile phones to communicate on a daily basis. In the midst of the myriad of applications available to download on the mobile, some tools have become more well-known and more often adopted than others. An example of such a tool is WhatsApp, which gains an increasing, widespread number of users on a daily basis, particularly in the Middle East region. The present study investigated college students' use of WhatsApp as a communication tool, and used Lebanon as a case study. A qualitative research design was implemented to understand the perceptions of college students vis-à-vis WhatsApp, and to investigate the motivational factors behind the popularity of this communication tool. The results revealed four themes: simplicity for discussion and coordination, cost-effectiveness, immediacy and sense of belonging.
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Nway, Zon Nyein. "Analysis of Permissions Correlation for Android Apps Using Statistical SVD Approach." Transactions on Networks and Communications 8, no. 2 (June 11, 2020): 10–19. http://dx.doi.org/10.14738/tnc.82.8181.
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Nowadays, almost all the users use Android applications in their smart phones for various reasons Since Android is free operating system, android-apps can be easily downloaded via biggest open app stores and third-party mobile app markets. But these applications were not guaranteed whether these are malware apps or not by legitimate organizations. As mobile phones are glued with most of the people, malware applications threaten all of them for their private information. So, the work of analysis for the apps is very important. The proposed system analyzes the correlation patterns of app’s permissions that must be used in all android apps by developers by using a statistical technique called singular value decomposition (SVD). The analysis phase uses the numbers of malware samples 50 to 300 from https://www.kaggle.com/goorax/static-analysis-of-android-malware-of-2017. The proposed system evaluates the risk level (High, Medium, and Low) of Android applications based on the correlation patterns of permissions. The system accuracy is 85% for both malware and goodware applications.
Nowadays, almost all the users use Android applications in their smart phones for various reasons Since Android is free operating system, android-apps can be easily downloaded via biggest open app stores and third-party mobile app markets. But these applications were not guaranteed whether these are malware apps or not by legitimate organizations. As mobile phones are glued with most of the people, malware applications threaten all of them for their private information. So, the work of analysis for the apps is very important. The proposed system analyzes the correlation patterns of app’s permissions that must be used in all android apps by developers by using a statistical technique called singular value decomposition (SVD). The analysis phase uses the numbers of malware samples 50 to 300 from https://www.kaggle.com/goorax/static-analysis-of-android-malware-of-2017. The proposed system evaluates the risk level (High, Medium, and Low) of Android applications based on the correlation patterns of permissions. The system accuracy is 85% for both malware and goodware applications.
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Chan, Yili, and Masatoshi Mori. "The Construction of a Flood Monitoring System with Alert Distribution Using Google Earth and 3D GIS." Journal of Disaster Research 8, no. 3 (June 1, 2013): 512–18. http://dx.doi.org/10.20965/jdr.2013.p0512.
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Locations of floods are not always known. Persons nearby for whom there is a possibility of danger due to flooding need information with which to predict flooding and to find refuge quickly and accurately. A Webbased Flood Monitoring System (FMS) using Google Earth and 3D GIS has been developed by employing Google Earth pro v. 6.0 and ArcGIS 10.0 (ESRI). The FMS provides a viewer for Windows PCs and smart phones. This viewer provides information consisting of digital elevation data from a 2 m Digital Surface Model (DSM) integrating 1:2500 digital topographic maps from the Geographical Survey Institute of Japan with official river information from the Ministry of Land, Infrastructure, Transport and Tourism of Japan and local river offices. It includes flood simulations and hazard maps from local governments. Users are able to download KML file data and/or Shape file data for private use. In addition, a reporting system for preregistered users who want immediate information has been prepared for alert and flood information.
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Zhang, Sonya, and Saree Costa. "Mobile Phone Usage Patterns, Security Concerns, and Security Practices of Digital Generation." International Journal of Mobile Human Computer Interaction 10, no. 1 (January 2018): 23–39. http://dx.doi.org/10.4018/ijmhci.2018010102.
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As the digital generations have grown up with high-tech gadgets and become avid users of mobile phones and apps, they are also exposed to increasing mobile security threats and vulnerability. In this paper the authors discuss the impact of recent mobile technology advancements on mobile threat environment and mobile security practices. They also conducted a survey to 262 college students to examine their mobile phone usage patterns, security concerns and practices. The results show that students use their mobile phone frequently for various productivity and entertainment purposes. They are generally aware of and concerned about mobile security, not only on losing the phone physically but also on data theft, web threat, and mobile malware. Students also practice security to some extend - most change PIN and passwords regularly, download their apps mostly from official app stores, and generally keep their OS and apps up-to-date. The authors also found significant correlations between mobile security practices and personal attributes, including major, gender, and technology aptitude.
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Quinlan, Jason. "TV on the move: How the growth in Internet streaming influences the video quality on your mobile device." Boolean: Snapshots of Doctoral Research at University College Cork, no. 2014 (January 1, 2014): 159–63. http://dx.doi.org/10.33178/boolean.2014.32.
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Every day, millions of people logon to the Internet to view their favorite TV show on Netflix, or similar streaming services, or to watch the latest viral video on YouTube. Two things are paramount, 1) that they receive the best streaming quality available, and 2) the video starts to play as quickly as possible. There is nothing worse than a video that stops and starts, takes forever to view or constantly changes between viewable qualities (resolutions). Due to our limited download speeds (bandwidth), in most houses it is not uncommon to hear “Stop downloading, I’m trying to watch something on Netflix”. When we couple this rise in online streaming with the growing number of portable devices (smart phones, tablets, laptops) we see an ever-increasing demand for high-definition online videos while on the move. This demand for mobile streaming highlights the need for adaptive video streaming schemes that can adjust to ...
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Hurter, Liezel, Anna M. Cooper-Ryan, Zoe R. Knowles, Lorna A. Porcellato, Stuart J. Fairclough, and Lynne M. Boddy. "A Novel Mixed Methods Approach to Assess Children’s Sedentary Behaviors." Journal for the Measurement of Physical Behaviour 3, no. 1 (March 1, 2020): 78–86. http://dx.doi.org/10.1123/jmpb.2019-0040.
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Purpose: Accurately measuring sedentary behavior (SB) in children is challenging by virtue of its complex nature. While self-report questionnaires are susceptible to recall errors, accelerometer data lacks contextual information. This study aimed to explore the efficacy of using accelerometry combined with the Digitising Children’s Data Collection (DCDC) for Health application (app), to capture SB comprehensively. Methods: 74 children (9–10 years old) wore ActiGraph GT9X accelerometers for 7 days. Each received a SAMSUNG Galaxy Tab4 (SM-T230) tablet, with the DCDC app installed and a specially designed sedentary behavior study downloaded. The app uses four data collection tools: 1) Questionnaire, 2) Take a photograph, 3) Draw a picture, and 4) Record my voice. Children self-reported their SB daily. Accelerometer data were analyzed using R-package GGIR. App data were downloaded and individual participant profiles created. SBs reported were grouped into categories and reported as frequencies. Results: Participants spent, on average, 629 min (i.e., 73% of their waking time) sedentary. App data revealed most of their out-of-school SB consisted of screen time (112 photos, 114 drawings, and screen time mentioned 135 times during voice recordings). Playing with toys, reading, arts and crafts, and homework were also reported across all four data capturing tools on the app. On an individual level, data from the app often explained irregular patterns in physical activity and SB observed in accelerometer data. Conclusion: This mixed methods approach to assessing SB adds context to accelerometer data, providing researchers with information needed for intervention design.
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Gura, Katherine, Bryan Bedrosian, Anna D. Chalfoun, and Susan Patla. "Great Gray Owl home range and habitat selection during the breeding-season." UW National Parks Service Research Station Annual Reports 42 (December 15, 2019): 90–96. http://dx.doi.org/10.13001/uwnpsrc.2019.5745.
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Identifying resource requirements of under-studied species during key stages such as breeding is critical for effective management. We quantified breeding-season home-range attributes and habitat selection of adult Great Gray Owls across multiple spatial (home-range and within-home-range level) and temporal (nesting and post-fledging; day versus night) scales in western Wyoming, USA. In 2018 and 2019 we outfitted adult male owls (n = 18) with GPS remote-download transmitters and collected hourly location data throughout the breeding season (1 May – 15 September). Using 50% and 95% kernel density estimates (KDE), mean core area was 1.2 km2 and mean home-range size was 6.2 km2 (n = 16). Resource selection analyses incorporated both remotely-sensed and microsite data. We conducted microsite surveys at used and available points within 95% KDE home ranges using a stratified random sample design (n = 661). Determining home-range and breeding habitat requirements will improve density estimates and facilitate the effective management of Great Gray Owls and their habitat. We found differing patterns between habitat selection at the home-range and within-home-range scales.
Featured photo by YNP on Flickr. https://flic.kr/p/SA17KT
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Ulakpa, R. O. E., V. U. D. Okwu, K. E. Chukwu, and M. O. Eyankware. "LANDSLIDE SUSCEPTIBILITY MODELLING IN SELECTED STATES ACROSS SE. NIGERIA." Environment & Ecosystem Science 4, no. 1 (March 30, 2020): 23–27. http://dx.doi.org/10.26480/ees.01.2020.23.27.
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Identification and mapping of landslide is essential for landslide risk and hazard assessment. This paper gives information on the uses of landsat imagery for mapping landslide areas ranging in size from safe area to highly prone areas. Landslide mitigation largely depends on the understanding of the nature of the factors namely: slope, soil type, lineament, lineament density, elevation, rainfall and vegetation. These factors have direct bearing on the occurrence of landslide. Identification of these factors is of paramount importance in setting out appropriate and strategic landslides control measures. Images for this study was downloaded by using remote sensing with landsat 8 ETM and aerial photos using ArcGIS 10.7 and Surfer 8 software, while Digital Elevation Model (DEM) and Google EarthPro TM were used to produce slope, drainage, lineament and elevation. From the processed landsat 8 imagery, landslide susceptibility map was produced, and landslide was category into various class; low, medium and high. From the study, it was observed that Enugu and Anambra state ranges from high to medium in terms of landslide susceptibility, Imo state ranges from medium to low.
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Sawshilya, Archana. "CHANGING FACE OF ELECTORAL BEHAVIOUR: ROLE OF SOCIAL MEDIA -GENERAL ELECTIONS 2019." International Journal of Advanced Research 9, no. 03 (March 31, 2021): 118–21. http://dx.doi.org/10.21474/ijar01/12563.
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The 2019 election witnessed a society that was consuming digital technology .For the first time in the history of India’s political platform the national elections were fought both on the streets and by using the smart phones and social media platforms using the digital technology .The digital media teams of the political parties in the 2019 elections played a very crucial role in trying to tip the scales in the favor of their party .The NaMo app had nearly 10 million downloads while the Shakti app of the Congress had around 70-80 lakh users. But the critics raised the question what if the party that mis-adopted the technology during 2019 is also the majority party in the house that would be responsible for designing the control mechanisms?
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Abdullah, A. F., and N. A. Muhadi. "GIS DATA COLLECTION FOR OIL PALM (DaCOP) MOBILE APPLICATION FOR SMART PHONE." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences II-2/W2 (October 19, 2015): 165–68. http://dx.doi.org/10.5194/isprsannals-ii-2-w2-165-2015.
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Nowadays, smart phone has become a necessity as it offers more than just making a phone call. Smart phone combines the features of cell phone with other mobile devices such as personal digital assistant (PDA) and GPS navigation unit that propel the popularity of smart phones. In recent years, the interest in mobile communication has been increased. Previous research using mobile application has been successfully done in varies areas of study. Areas of study that have been done are health care, education, and traffic monitoring. Besides, mobile application has also been applied in agricultural sector for various purposes such as plant pest risk management. In this study, mobile application for data collection on Ganoderma disease of oil palm has been successfully developed. The application uses several devices in a smart phone such as GPS, Wifi/ GPRS connection and accelerometer devices. The application can be installed in the smart phone and users can use the application while working on-site. The data can be updated immediately through their smart phones to the service. Besides, the application provides offline map so the user can be productive even though their network connectivity is poor or nonexistent. The data can be synced when the users online again. This paper presents an application that allows users to download features from a sync-enabled ArcGIS Feature Service, view and edit the features even when the devices fail to connect with any network connectivity while collecting data on-site.
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Sophus Lai, Signe, and Sofie Flensburg. "A proxy for privacy uncovering the surveillance ecology of mobile apps." Big Data & Society 7, no. 2 (July 2020): 205395172094254. http://dx.doi.org/10.1177/2053951720942543.
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The article develops a methodological and empirical approach for gauging the ways Big Data can be collected and distributed through mobile apps. This approach focuses on the infrastructural components that condition the disclosure of smartphone users’ data – namely the permissions that apps request and the third-party corporations they work with. We explore the surveillance ecology of mobile apps and thereby the privacy implications of everyday smartphone use through three analytical perspectives: The first focuses on the ‘appscapes’ of individual smartphone users and investigates the consequences of which and how many mobile apps users download on their phones; the second compares different types of apps in order to study the app ecology and the relationships between app and third-party service providers; and the third focuses on a particular app category and discusses the functional as well as the commercial incentives for permissions and third-party collaborations. Thereby, the article advances an interdisciplinary dialogue between critical data studies, political economy and app studies, and pushes an empirical and critical perspective on mobile communication, app ecologies and data economies.
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Zawierucha, Katarzyna. "Personal data in the aspect of IT usage – the end of anonymity." Scientific Journal of the Military University of Land Forces 199, no. 1 (March 18, 2021): 164–77. http://dx.doi.org/10.5604/01.3001.0014.8118.
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Information technologies are now a vital element of social life. Their task is to introduce people to a better tomorrow, catch up with the most developed countries, broaden horizons, and increase the standard of living. However, the rapid development of technology, access to data, and the possibility of managing it are still dependent on the human being, who determines whose data, when, and for what purpose it will be obtained and utilized. Nonetheless, indeed, all the data once found on the Internet remains there forever. Huge data banks are built based on personal data and account profiling. Besides, these banks are strongly guarded and secured with the most modern alarm systems, and only a small group of trained IT specialists has access to them. By information provided on own preferences, purchases made, applications downloaded, shared information, photos, and likes on social networks, one can specify the sexual preferences, education, political and religious views, evaluate assets, or determine the marital status of the user. Even small amounts of information shared reveal the deeply hidden interests of online account users, and the benefits of information technology are designed to share personal information while forgetting about the risks automatically.
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Nicholas, Arlene J., and John K. Lewis. "The Net Generation and E-Textbooks." International Journal of Cyber Ethics in Education 1, no. 3 (July 2011): 70–77. http://dx.doi.org/10.4018/ijcee.2011070107.
Full textAbstract:
The traditional college student of today is part of the Net Generation who has been raised in an era of instant access. Their communication and learning is complemented by the Internet, a major influence on this cohort. The regular method of contact is text messaging, instant messaging and cell phones. Learning methods for the Net Generation include Internet tools such as Web-CT, Blackboard, online courses, online journals and i-pod downloads. Are they ready to also change from print textbooks to Internet based textbooks? This paper describes the attitudes of some Net Generation students towards the usage of electronic textbooks. Three case studies were conducted: one class used an online textbook and two other classes used e-chapter supplements. Students were questioned on their perceptions of using and learning with e-textbooks. Their views describe some changing thoughts towards network connected media that is the mantra of this generation.
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Gordon, V., and P. Danquah. "An Experimental Assessment of LiFi Data Communication." Ghana Journal of Science 61, no. 1 (July 31, 2020): 73–87. http://dx.doi.org/10.4314/gjs.v61i1.6.
Full textAbstract:
In this paper, two functional light fidelity real-time testbeds implemented on custom Light fidelity (LiFi) kits are presented. This paper evaluates the use of LiFi technology over different distances and angular placement of illuminating devices and endpoint transceivers with connectivity locally and to the internet. The objective is to determine if distance or angular positioning in LiFi influence speeds or not. Finally, it aims to contribute to knowledge in the LiFi communication domain. We were limited to developing a customized testbed for wireless optical communication by accessing data in the physical layer via photons. In a lateral distance and angular position, we examined the performance of a laptop with LiFi activated by a 3730 lm LED. The setup evaluated the performance of our design in a downlink and uplink scenario where the transmitter was embedded in the main LED unit and the laptop was used as a photoreceiver. The data rate/kbps, the lateral distance / m, and the angle displacement / θ° were the comparison metrics. The results of the tests show that the transmission of LiFi is not influenced by distance and angular positioning for both downloads and uploads over different distances.
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Burroughs, Benjamin. "YouTube Kids: The App Economy and Mobile Parenting." Social Media + Society 3, no. 2 (April 2017): 205630511770718. http://dx.doi.org/10.1177/2056305117707189.
Full textAbstract:
This research investigates the growing relationship between media industries and the everyday viewing patterns and lives of young children. Specifically, this research focuses on the development of the YouTube Kids app, with well over 10 million downloads, which seeks to capture and monetize youth attention. These channels have taken advantage of emerging mobile and tablet technologies to target very young children and infants (aged 0–5 years). The technologies are also a part of larger parenting practices through the watching of televisual content by children on mobile phones and tablets. The rise of mobile parenting is allied with a confluence of digital technology, parenting practices, and the configuring of young children as a target demographic. Part of the work the YouTube Kids app performs is to corral young children into a controlled space without unexpected participation and play, where a more monolithic category of “child” or “kid” viewership can be codified and marketed to within the constraints of the app.
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Charaf, Hassan. "Special Issue on CogInfoCom 2012." Journal of Advanced Computational Intelligence and Intelligent Informatics 18, no. 3 (May 20, 2014): 305. http://dx.doi.org/10.20965/jaciii.2014.p0305.
Full textAbstract:
Cognitive infocommunications (CogInfoCom) investigates connections between the cognitive sciences and different areas of infocommunications. CogInfoCom also focuses on engineering application fields integrating related scientific areas and results. Cognitive infocommunications systems involve hardware and software components that collect and store information and enable users to interact with this information. Besides communication security, considerations include the amount of stored information, which may be huge. This means that there is a need for algorithms and solutions that store and process data effectively. The CogInfoCom field presents a number of motivational challenges requiring active deep research, implementation, integration and measurement. This special issue focuses on the Cognitive Mobile Applications and Services track of the 3rd IEEE International Conference on Cognitive Infocommunications (CogInfoComf12). Mobile phones and tablets are now everyday tools that enable users to easily connect to the Internet, download social content, find interesting places, etc. Mobile technology has become one of the most important fields in the IT industry just as Web technology was 10-15 years ago. Mobile phones and tablets use sensors and interfaces like accelerometers, cameras, GPS, and thermometers that monitor and enable easier interaction with the real world. Agents hosted by mobile devices that learn from sensor-originated information also support individual applications and complex systems. This special issue focuses on the cognitive capabilities of mobile phones, the various agents that mobile devices host, and how they can be applied efficiently in applications and services including social aspects of mobile solutions. Papers from the conference cover mobile controlled environments, mobile-supported learning, augmented reality, energy efficiency and communication techniques. We thank the authors for submitting their papers to CogInfoCom as a venue for presenting their findings. We are also grateful to program committee members and reviewers for their efforts in making the conference and the special issue possible. We feel that these papers will provide readers with interesting and valuable results from the field of cognitive infocommunications.