To see the other types of publications on this topic, follow the link: Digital Surf.
Journal articles on the topic 'Digital Surf'
Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles
Consult the top 50 journal articles for your research on the topic 'Digital Surf.'
Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.
You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.
Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.
1
Ennis, Liam, Diana Rose, Mike Denis, Ninjeri Pandit, and Til Wykes. "Can't surf, won't surf: The digital divide in mental health." Journal of Mental Health 21, no. 4 (June 19, 2012): 395–403. http://dx.doi.org/10.3109/09638237.2012.689437.
Full text
2
Henthorne, Tom. "Conrad Don't Surf: Teaching Modern Texts to Digital Readers." Conradiana 43, no. 2-3 (2011): 123–31. http://dx.doi.org/10.1353/cnd.2011.0029.
Full text
3
Lionnie, Regina, Trie Maya Kadarina, and Mudrik Alaydrus. "Analisis Metode SIFT dan SURF untuk Sistem Pendeteksi Gambar Termanipulasi Penyerangan Copy-Move Forgery." Jurnal Telekomunikasi dan Komputer 8, no. 3 (December 1, 2018): 183. http://dx.doi.org/10.22441/incomtech.v8i3.3074.
Full textAbstract:
Pemalsuan gambar digital telah menjadi salah satu taktik penyebar hoax yang merupakan ajang penyebar provokasi, menimbulkan kerusuhan dan kebencian. Untuk dapat memerangi pemalsuan gambar digital perlu diciptakan sebuah sistem yang dapat mendeteksi gambar tersebut merupakan gambar hasil manipulasi apa tidak. Pada penelitian ini gambar termanipulasi jenis penyerangan copy-move forgery dengan variasi penyekalaan dan rotasi telah dianalisa oleh metode SIFT dan SURF. Hasilnya kedua metode dapat mendeteksi gambar termanipulasi jenis penyerangan copy-move forgery dengan SIFT memberikan hasil dua kali lebih banyak kecocokan dibandingkan SURF dan SURF memberikan hasil pemrosesan waktu 0.33 kali lebih cepat dibandingkan SIFT.
4
Heidari, Hossein, and Mohammad Mardani. "Applying Artificial Bee Colony Algorithm for feature optimization in UAV Navigation." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 15, no. 7 (May 18, 2016): 6923–32. http://dx.doi.org/10.24297/ijct.v15i7.1535.
Full textAbstract:
In this paper, the bee colony algorithm is used for optimizing features which have been extracted from UAV’s digital camera by SURF algorithm. To do that, the local map is stored in UAV memory before flight. During flight, images will be captured by a digital camera and the features in successive image will be extracted using SURF algorithm because SURF algorithm is considered highly insensitive to environmental light, scale changes and noise. Then, the extracted features will be optimized using the bee colony algorithm and will be compared with the original map features to find the location and direction of UAV. Simulations show that proposed algorithm has good precision and is robust to scale changes, light intensity variations, and noise.
5
ZHANG Kun, 张坤, 许廷发 XU Ting-fa, 王平 WANG Ping, and 冯亮 FENG Liang. "Real-time full-frame digital image stabilization system by SURF." Optics and Precision Engineering 19, no. 8 (2011): 1964–72. http://dx.doi.org/10.3788/ope.20111908.1964.
Full text
6
Sulistyo, Wicaksono Yuli, Imam Riadi, and Anton Yudhana. "Penerapan Teknik SURF pada Forensik Citra untuk Analisa Rekayasa Foto Digital." JUITA: Jurnal Informatika 8, no. 2 (November 16, 2020): 179. http://dx.doi.org/10.30595/juita.v8i2.6602.
Full text
7
Pandey, Ramesh Chand, Sanjay Kumar Singh, and K. K. Shukla. "Passive Copy- Move Forgery Detection Using Speed-Up Robust Features, Histogram Oriented Gradients and Scale Invariant Feature Transform." International Journal of System Dynamics Applications 4, no. 3 (July 2015): 70–89. http://dx.doi.org/10.4018/ijsda.2015070104.
Full textAbstract:
Copy-Move is one of the most common technique for digital image tampering or forgery. Copy-Move in an image might be done to duplicate something or to hide an undesirable region. In some cases where these images are used for important purposes such as evidence in court of law, it is important to verify their authenticity. In this paper the authors propose a novel method to detect single region Copy-Move Forgery Detection (CMFD) using Speed-Up Robust Features (SURF), Histogram Oriented Gradient (HOG), Scale Invariant Features Transform (SIFT), and hybrid features such as SURF-HOG and SIFT-HOG. SIFT and SURF image features are immune to various transformations like rotation, scaling, translation, so SIFT and SURF image features help in detecting Copy-Move regions more accurately in compared to other image features. Further the authors have detected multiple regions COPY-MOVE forgery using SURF and SIFT image features. Experimental results demonstrate commendable performance of proposed methods.
8
Zhang Huajun, 张华俊, 李桂华 Li Guihua, 刘程 Liu Cheng, and 王丹 Wang Dan. "Reliable Initial Guess Based on SURF Feature Matching in Digital Image Correlation." Acta Optica Sinica 33, no. 11 (2013): 1112005. http://dx.doi.org/10.3788/aos201333.1112005.
Full text
9
Che Mat, Norhalim, and Khairul Nizam Tahar. "Surf Zone Mapping Using Multirotor Unmanned Aerial Vehicle Imagery." International Journal of Optics 2019 (May 30, 2019): 1–13. http://dx.doi.org/10.1155/2019/2987301.
Full textAbstract:
Surf zone is a sand area that stretches inside a breaking wave to limit the rise and fall of waves on the beach. Advanced technology in the geomatics field offers a fast and accurate solution to produce surf zone maps. The demand for surf zone map is increasing during the monsoon season, especially at coastal areas. Nowadays, the Unmanned Aerial Vehicle (UAV) or drone has become popular platform in the geospatial and surveying field. The aim of this study is to produce surf zone 3D surface mapping by using a multirotor Unmanned Aerial Vehicle. There are four phases in this study which are image acquisition, UAV image processing, photogrammetric results, and analysis. The image acquisition was solely obtained using a multirotor UAV based on the photogrammetric concept. The acquired UAV images were processed using commercial software with a specific workflow. Photogrammetric products such as digital elevation model, orthophoto, contour, and surf map zone were produced. The analyses of these results were conducted based on different epochs on the selected months. The accuracy for northing, easting, and height coordinates was 1.026m, 0.838m, and 0.419m, respectively. It can be concluded that the UAV was able to produce a surf zone map with reliable accuracy. This platform is very useful for fast decision making, especially during disaster incidents.
10
Wu, Shu Guang, Shu He, and Xia Yang. "Study on Image Matching Based on Speed up Robust Features Method." Advanced Materials Research 1044-1045 (October 2014): 1352–56. http://dx.doi.org/10.4028/www.scientific.net/amr.1044-1045.1352.
Full textAbstract:
Image registration is one of the fundamental problems in digital image processing, which is a prerequisite and key step for further comprehensive analysis,considering the advantages of the algorithm in speed and its disadvantage of more false matching points,a image matching method based on RANSAC and surf isproposed.The experiments results show that compared with the other algorithms,the surf algorithm improves the matching speed，as well as the matching accuracy，and exhibits good performance in terms of resisting rotation，noise,and brightness changes．
11
Nawaz, Marriam, Zahid Mehmood, Muhammad Bilal, Asmaa Mahdi Munshi, Muhammad Rashid, Rehan Mehmood Yousaf, Amjad Rehman, and Tanzila Saba. "Single and multiple regions duplication detections in digital images with applications in image forensic." Journal of Intelligent & Fuzzy Systems 40, no. 6 (June 21, 2021): 10351–71. http://dx.doi.org/10.3233/jifs-191700.
Full textAbstract:
‘With the help of powerful image editing software, various image modifications are possible which are known as image forgeries. Copy-move is the easiest way of image manipulation, wherein an area of the image is copied and replicated in the same image. The major reason for performing this forgery is to conceal undesirable contents of the image. Thus, means are required to unveil the presence of duplicated areas in an image. In this article, an effective and efficient approach for copy-move forgery detection (CMFD) is proposed, which is based on stationary wavelet transform (SWT), speeded-up robust features (SURF), and a novel scaled density-based spatial clustering of applications with noise (sDBSCAN) clustering. The SWT allows the SURF descriptor to extract only energy-rich features from the input image. The SURF features can detect the tampered regions even under post-processing attacks like contrast adjustment, scaling, and affine transformation on the images. On the extracted features, a novel scaled density-based spatial clustering of applications with noise (sDBSCAN) clustering algorithm is applied to detect forged regions with high accuracy as it can easily identify the clusters of arbitrary shapes and sizes and can filter the outliers. For performance evaluation, three publicly available datasets namely MICC-F220, MICC-F2000, and image manipulation dataset (IMD) are employed. The qualitative and quantitative analysis demonstrates that the proposed approach outperforms state-of-the-art CMFD approaches in the presence of different post-processing attacks.
12
Ruijs, A. C. J., L. C. Langenberg, and J. Rezzouk. "Finger Trauma Due to Surfing; A Case Series and Analysis of Fracture Patterns." Journal of Hand Surgery (Asian-Pacific Volume) 22, no. 01 (February 16, 2017): 10–13. http://dx.doi.org/10.1142/s0218810417500010.
Full textAbstract:
Background: The purpose of this study is to research the type of lesions to the hand and fingers in the sport of surfing.Methods: All surfing related hand injuries reported to our hospital between January 2008 and September 2015 were analyzed.Results: Thirty-seven patient files held a clear description of a trauma related to the surf sport. We found three finger sprains, five wounds needing suture, including one digital nerve lesion and one ring finger with flexor tendon injury, three fingertip amputations and twenty-six digital fractures. The fracture type was similar in twenty-one patients: an open extra-articular transverse fracture of the distal phalanx. Thirty-one injuries were caused by the surf leash.Conclusions: From this case series we can conclude that surfing may lead to significant trauma to the fingers, mainly due to the leash. This can be caused by grasping the leash while it snaps to tension, which may lead to hyper flexion of the distal phalanx, resulting in a typical trans-phalangeal fracture. Also, when the leash is wrapped around a finger or grasped near the attachment of the leash to the board, ring avulsion-like trauma may occur, leading to open fractures or (partial) amputations. Recognizing that surf leash trauma causes a particular type of fracture to the distal phalanx, may lead to better education of surfers and the development of safer surfing equipment.
13
Nawaz, Saqib Ali, Jingbing Li, Uzair Aslam Bhatti, Anum Mehmood, Raza Ahmed, Zeeshan, and Qurat Ul Ain. "A Novel Hybrid Discrete Cosine Transform Speeded Up Robust Feature-Based Secure Medical Image Watermarking Algorithm." Journal of Medical Imaging and Health Informatics 10, no. 11 (November 1, 2020): 2588–99. http://dx.doi.org/10.1166/jmihi.2020.3220.
Full textAbstract:
With the advancement of networks and multimedia, digital watermarking technology has received worldwide attention as an effective method of copyright protection. Improving the anti-geometric attack ability of digital watermarking algorithms using image feature-based algorithms have received extensive attention. This paper proposes a novel robust watermarking algorithm based on SURF-DCT perceptual hashing (Speeded Up Robust Features and Discrete Cosine Transform), namely blind watermarking. We design and implement a meaningful binary watermark embedding and extraction algorithm based on the SURF feature descriptor and discrete-cosine transform domain digital image watermarking algorithm. The algorithm firstly uses the affine transformation with a feature matrix and chaotic encryption technology to preprocess the watermark image, enhance the confidentiality of the watermark, and perform block and DCT coefficients extraction on the carrier image, and then uses the positive and negative quantization rules to modify the DCT coefficients. The embedding of the watermark is completed, and the blind extraction of the watermark realized. Correlation values are more than 90% in most of the attacks. It provides better results against different noise attacks and also better performance against rotation. Transparency and high computational efficiency, coupled with dual functions of copyright protection and content authentication, is the advantage of the proposed algorithm.
14
Mishra, Parul, Nishchol Mishra, Sanjeev Sharma, and Ravindra Patel. "Region Duplication Forgery Detection Technique Based on SURF and HAC." Scientific World Journal 2013 (2013): 1–8. http://dx.doi.org/10.1155/2013/267691.
Full textAbstract:
Region duplication forgery detection is a special type of forgery detection approach and widely used research topic under digital image forensics. In copy move forgery, a specific area is copied and then pasted into any other region of the image. Due to the availability of sophisticated image processing tools, it becomes very hard to detect forgery with naked eyes. From the forged region of an image no visual clues are often detected. For making the tampering more robust, various transformations like scaling, rotation, illumination changes, JPEG compression, noise addition, gamma correction, and blurring are applied. So there is a need for a method which performs efficiently in the presence of all such attacks. This paper presents a detection method based on speeded up robust features (SURF) and hierarchical agglomerative clustering (HAC). SURF detects the keypoints and their corresponding features. From these sets of keypoints, grouping is performed on the matched keypoints by HAC that shows copied and pasted regions.
15
Ustyuzhanin, Anton, Karl-Heinz Dammer, Antje Giebel, Cornelia Weltzien, and Michael Schirrmann. "Discrimination of Common Ragweed (Ambrosia artemisiifolia) and Mugwort (Artemisia vulgaris) Based on Bag of Visual Words Model." Weed Technology 31, no. 2 (March 2017): 310–19. http://dx.doi.org/10.1614/wt-d-16-00068.1.
Full textAbstract:
Common ragweed is a plant species causing allergic and asthmatic symptoms in humans. To control its propagation, an early identification system is needed. However, due to its similar appearance with mugwort, proper differentiation between these two weed species is important. Therefore, we propose a method to discriminate common ragweed and mugwort leaves based on digital images using bag of visual words (BoVW). BoVW is an object-based image classification that has gained acceptance in many areas of science. We compared speeded-up robust features (SURF) and grid sampling for keypoint selection. The image vocabulary was built using K-means clustering. The image classifier was trained using support vector machines. To check the robustness of the classifier, specific model runs were conducted with and without damaged leaves in the trainings dataset. The results showed that the BoVW model allows the discrimination between common ragweed and mugwort leaves with high accuracy. Based on SURF keypoints with 50% of 788 images in total as training data, we achieved a 100% correct recognition of the two plant species. The grid sampling resulted in slightly less recognition accuracy (98 to 99%). In addition, the classification based on SURF was up to 31 times faster.
16
Bakar, Siddique Abu, Xiaoming Jiang, Xiangfu Gui, Guoquan Li, and Zhangyong Li. "Image Stitching for Chest Digital Radiography Using the SIFT and SURF Feature Extraction by RANSAC Algorithm." Journal of Physics: Conference Series 1624 (October 2020): 042023. http://dx.doi.org/10.1088/1742-6596/1624/4/042023.
Full text
17
Verma, Kamlesh, Debashis Ghosh, Harsh Saxena, Himanshu Singh, Rajeev Marathe, and Avnish Kumar. "Intelligent Visual Tracking in Unstabilized Videos." International Journal of Natural Computing Research 9, no. 3 (July 2020): 54–75. http://dx.doi.org/10.4018/ijncr.2020070104.
Full textAbstract:
Visual tracking requirement is increasing day by day due to the availability of high-performance digital cameras at low prices. Visual tracking becomes a complex problem when cameras suffer with unwanted and unintentional motion, resulting in motion-blurred unstabilized video. The problem in hand becomes more challenging when the target of interest is to be detected automatically in this unstabilized video. This paper presents a comprehensive single intelligent solution for these problems. The proposed algorithm auto-detects the camera motion, filters out the unintentional motion while stabilizing the video keeping intentional motion only using speeded-up robust features (SURF) technique. Motion smear due to unstabilization is also removed, providing sharp stabilized video output with video quality enhancement of up to 20dB. Gabor filter is used innovatively for auto-detection of target of interest in each stabilized frame. Then the target is tracked using SURF method.
18
Nikolova, I. "Performance Analysis of Robust Image Features Detection Algorithms." Information Technologies and Control 11, no. 3 (September 1, 2014): 2–15. http://dx.doi.org/10.2478/itc-2013-0011.
Full textAbstract:
Abstract This paper deals with the challenging task of acquiring stable image features in a sequence of images of the same scene taken under different viewing positions by a digital still camera. Two popular contemporary algorithms for discrete feature detection: SIFT and SURF are regarded. The results of the timing performance analysis of their sequential implementations are presented and discussed. The performance speedup analysis and scalability tests with multi-threading and GPU-based implementations are analyzed
19
Conley, Daniel, Daniel Buscombe, and Alex Nimmo-Smith. "USE OF DIGITAL HOLOGRAPHIC CAMERAS TO EXAMINE THE MEASUREMENT AND UNDERSTANDING OF SEDIMENT SUSPENSION IN THE NEARSHORE." Coastal Engineering Proceedings 1, no. 33 (October 18, 2012): 73. http://dx.doi.org/10.9753/icce.v33.sediment.73.
Full textAbstract:
We present results from a 3-week field experiment measuring surf-zone flows and sediment transport on a steep energetic beach in the south-west UK, including the first reported deployment of an in-line holographic camera (‘holocam’) in the surf zone, co-located with various optical backscatter sensors and an acoustic backscatter sensor (ABS). The extensive data set provides perhaps a unique opportunity to examine the performance of optical and acoustic backscatter instruments in a wide range of conditions including bubbly flows, as well as some fundamental aspects of sediment suspension processes such as the near-bed size-distribution of suspended sediment. The holocam, deployed with a 1.3cm cubic sample volume approximately 10cm above the bed, provides in-focus well-resolved images of the instantaneous suspended load, making it possible to determine highly-accurate estimates of the concentrations of mineral sand grains, bubbles and organic particles, and their size distributions. Instantaneous estimates of sediment concentration from the ABS compare poorly with the equivalent measure from the holocam. This could be due to various factors such as spatial decorrelation or acoustic insensitivities at larger grain sizes. However, the ABS does a very good job at estimating burst-averaged suspended sediment concentrations when bubble concentrations are low (less than 1ml/l). The error in ABS concentrations (as compared against holocam) appears to be related to relative bubble concentration. The OBS is even more sensitive to bubbles. Suspended sediment grain size distribution is skewed towards the finer grain sizes but shifts to the larger sizes with increased flow intensity.
20
Pourhadi, Ali, and Homayoun Mahdavi-Nasab. "A robust digital image watermarking scheme based on bat algorithm optimization and SURF detector in SWT domain." Multimedia Tools and Applications 79, no. 29-30 (May 9, 2020): 21653–77. http://dx.doi.org/10.1007/s11042-020-08960-0.
Full text
21
Guo, Shaocui, and Xu Yang. "Fast recognition algorithm for static traffic sign information." Open Physics 16, no. 1 (December 31, 2018): 1149–56. http://dx.doi.org/10.1515/phys-2018-0135.
Full textAbstract:
Abstract Aiming at the low recognition rate, low recognition efficiency, poor anti-interference and high missing detection rate of current traffic sign recognition methods, a fast recognition algorithm based on SURF for static traffic sign information of highway is proposed. The expansion of the digital morphological method is used to connect the cracks in the traffic sign. Traffic sign images are corroded according to the corrosion, and the connected areas are contracted or refined. Regions of interest are detected by region filling. According to the result of traffic sign image processing, the scale of traffic sign image is normalized by bilinear interpolation method, and the SURF feature points of traffic sign image are extracted. The FLANN algorithm is used to realize feature point matching, and the threshold is set to determine the best matching point. The matching result is output and the traffic sign information is recognized. Experimental results show that the algorithm has high recognition rate and recognition efficiency, strong anti-interference, and can control the rate of missing detection in a certain range.
22
Nosovskiy, Gleb. "Geometrical coding of color images." Publications de l'Institut Math?matique (Belgrade) 103, no. 117 (2018): 159–73. http://dx.doi.org/10.2298/pim1817159n.
Full textAbstract:
Formal analysis and computer recognition of 2D color images is important branch of modern computer geometry. However, existing algorithms, although they are highly developed, are not quite satisfactory and seem to be much worse than (unknown) algorithms, which our brain uses to analyze eye information. Almost all existing algorithms omit colors and deal with grayscale transformations only. But in many cases color information is important. In this paper fundamentally new method of coding and analyzing color digital images is suggested. The main point of this method is that a full-color digital image is represented, without dropping colors, by special 2D surface in 3D space, after which it is analyzed by methods of differential geometry, rather than traditional gradient-based or Hessian-based methods (like in SIFT, GLOH, SURF, Canny operator, and many other algorithms).
23
Khan, Sajid, Dong-Ho Lee, Asif Khan, Ahmad Waqas, Abdul Rehman Gilal, and Zahid Hussain Khand. "A Digital Camera-Based Rotation-Invariant Fingerprint Verification Method." Scientific Programming 2020 (May 15, 2020): 1–10. http://dx.doi.org/10.1155/2020/9758049.
Full textAbstract:
Fingerprint registration and verification is an active area of research in the field of image processing. Usually, fingerprints are obtained from sensors; however, there is recent interest in using images of fingers obtained from digital cameras instead of scanners. An unaddressed issue in the processing of fingerprints extracted from digital images is the angle of the finger during image capture. To match a fingerprint with 100% accuracy, the angles of the matching features should be similar. This paper proposes a rotation and scale-invariant decision-making method for the intelligent registration and recognition of fingerprints. A digital image of a finger is taken as the input and compared with a reference image for derotation. Derotation is performed by applying binary segmentation on both images, followed by the application of speeded up robust feature (SURF) extraction and then feature matching. Potential inliers are extracted from matched features by applying the M-estimator. Matched inlier points are used to form a homography matrix, the difference in the rotation angles of the finger in both the input and reference images is calculated, and finally, derotation is performed. Input fingerprint features are extracted and compared or stored based on the decision support system required for the situation.
24
Gajic, Dusan, Gorana Gojic, Dinu Dragan, and Veljko Petrovic. "Comparative evaluation of keypoint detectors for 3d digital avatar reconstruction." Facta universitatis - series: Electronics and Energetics 33, no. 3 (2020): 379–94. http://dx.doi.org/10.2298/fuee2003379g.
Full textAbstract:
Three-dimensional personalized human avatars have been successfully utilized in shopping, entertainment, education, and health applications. However, it is still a challenging task to obtain both a complete and highly detailed avatar automatically. One approach is to use general-purpose, photogrammetry-based algorithms on a series of overlapping images of the person. We argue that the quality of avatar reconstruction can be increased by modifying parts of the photogrammetry-based algorithm pipeline to be more specifically tailored to the human body shape. In this context, we perform an extensive, standalone evaluation of eleven algorithms for keypoint detection, which is the first phase of the photogrammetry-based reconstruction pipeline. We include well established, patented Distinctive image features from scale-invariant keypoints (SIFT) and Speeded up robust features (SURF) detection algorithms as a baseline since they are widely incorporated into photogrammetry-based software. All experiments are conducted on a dataset of 378 images of human body captured in a controlled, multi-view stereo setup. Our findings are that binary detectors highly outperform commonly used SIFT-like detectors in the avatar reconstruction task, both in terms of detection speed and in number of detected keypoints.
25
Aziz, Roikhan Mochamad, Muhammad Asyep Syam’aeni, Nisfina Sya’baniyah, and Izzah Corrie Fatihah. "Peningkatan Kemampuan Literasi Digital bagi Siswa Kelas 4 dan 5 SDN Tanjakan 3, Kabupaten Tangerang." Jurnal Pengabdian Pada Masyarakat 5, no. 1 (February 14, 2020): 141–48. http://dx.doi.org/10.30653/002.202051.267.
Full textAbstract:
IMPROVEMENT OF DIGITAL LITERACY ABILITY FOR GRADE 4 AND 5 STUDENTS OF SDN TANJAKAN 3, TANGERANG REGENCY. Digital information resources are very abundant, due to advances in information technology and the internet. The current condition of students in Indonesia, which is a digital native generation, has a high dependence on information retrieval on the internet. Aside from the internet having a positive impact, the internet also has a negative side and that information can spread quickly on the internet. Digital literacy is needed to teach children the basics of socializing and digital security so they can explore the digital world safely and confidently. The subjects of this study were elementary school students in Tanjakan Village, Rajeg, Tangerang. This study uses a practical pragmatic theoretical approach that directs children to learn in groups and together solve each problem. The result of this service program is that digital literacy is carried out according to the desired target, and participants gain insight into information and communication technology and the use of the internet in a healthy and safe manner. With the right internet training, it is expected to avoid the dangers of the internet from the negative side. Participants already know tips on how to find a true or fake news on an internet website, and can surf safely and healthily. Based on the evaluation, participants of SDN Tanjakan 3 understood the material that had been delivered and agreed to use a healthy and safe internet.
26
Vaishnavi, D., D. Mahalakshmi, and Venkata Siva Rao Alapati. "Visual Feature Based Image Forgery Detection." International Journal of Engineering & Technology 7, no. 4.6 (September 25, 2018): 86. http://dx.doi.org/10.14419/ijet.v7i4.6.20436.
Full textAbstract:
In present days, the images are building up in digital form and which may hold essential information. Such images can be voluntarily forged or manipulated using the image processing tools to abuse it. It is very complicated to notice the forgery by naked eyes. In particular, the copy move forgery is enormously demanding one to expose. Hence, this paper put forwards a method to determine the copy move forgery by extracting the visual feature called speed up robust features (SURF). In the direction to quantitatively analyze the performance, the metrics namely false positive rate and true positive rate are estimated and also comparative study is carried out by previous existing methods.
27
Akcay, O., and E. O. Avsar. "THE EFFECT OF IMAGE ENHANCEMENT METHODS DURING FEATURE DETECTION AND MATCHING OF THERMAL IMAGES." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-1/W1 (May 31, 2017): 575–78. http://dx.doi.org/10.5194/isprs-archives-xlii-1-w1-575-2017.
Full textAbstract:
A successful image matching is essential to provide an automatic photogrammetric process accurately. Feature detection, extraction and matching algorithms have performed on the high resolution images perfectly. However, images of cameras, which are equipped with low-resolution thermal sensors are problematic with the current algorithms. In this paper, some digital image processing techniques were applied to the low-resolution images taken with Optris PI 450 382 x 288 pixel optical resolution lightweight thermal camera to increase extraction and matching performance. Image enhancement methods that adjust low quality digital thermal images, were used to produce more suitable images for detection and extraction. Three main digital image process techniques: histogram equalization, high pass and low pass filters were considered to increase the signal-to-noise ratio, sharpen image, remove noise, respectively. Later on, the pre-processed images were evaluated using current image detection and feature extraction methods Maximally Stable Extremal Regions (MSER) and Speeded Up Robust Features (SURF) algorithms. Obtained results showed that some enhancement methods increased number of extracted features and decreased blunder errors during image matching. Consequently, the effects of different pre-process techniques were compared in the paper.
28
Apurupa, Leela, J. D.Dorathi Jayaseeli, and D. Malathi. "An Integrated Technique for Image Forgery Detection using Block and Keypoint Based Feature Techniques." International Journal of Engineering & Technology 7, no. 3.12 (July 20, 2018): 505. http://dx.doi.org/10.14419/ijet.v7i3.12.16168.
Full textAbstract:
The invention of the net has introduced the unthinkable growth and developments within the illustrious analysis fields like drugs, satellite imaging, image process, security, biometrics, and genetic science. The algorithms enforced within the twenty first century has created the human life more leisurely and secure, however the protection to the first documents belongs to the genuine person is remained as involved within the digital image process domain. a replacement study is planned during this analysis paper to discover. The key plan in the deliberate take a look at and therefore the detection of the suspected regions are detected via the adaptive non-overlapping and abnormal blocks and this method is allotted exploitation the adaptive over-segmentation algorithmic rule. The extraction of the feature points is performed by playacting the matching between every block and its options. The feature points are step by step replaced by exploitation the super pixels within the planned Forgery Region Extraction algorithm then merge the neighboring obstructs that have comparative local shading decisions into the element squares to encourage the brought together districts; at last, it applies the morphological activity to the bound together areas to ask the recognized falsification districts The planned forgery detection algorithmic rule achieves far better detection results even below numerous difficult conditions the sooner strategies all told aspects. We have analyzed the results obtained by the each SIFT and SURF and it is well-tried that the planned technique SURF is giving more satisfactory results by both subjective and objective analysis.
29
Kumar, K. V. V., and P. V. V. Kishore. "Indian Classical Dance Mudra Classification Using HOG Features and SVM Classifier." International Journal of Electrical and Computer Engineering (IJECE) 7, no. 5 (October 1, 2017): 2537. http://dx.doi.org/10.11591/ijece.v7i5.pp2537-2546.
Full textAbstract:
Digital understanding of Indian classical dance is least studied work, though it has been a part of Indian Culture from around 200BC. This work explores the possibilities of recognizing classical dance mudras in various dance forms in India. The images of hand mudras of various classical dances are collected form the internet and a database is created for this job. Histogram of oriented (HOG) features of hand mudras input the classifier. Support vector machine (SVM) classifies the HOG features into mudras as text messages. The mudra recognition frequency (MRF) is calculated for each mudra using graphical user interface (GUI) developed from the model. Popular feature vectors such as SIFT, SURF, LBP and HAAR are tested against HOG for precision and swiftness. This work helps new learners and dance enthusiastic people to learn and understand dance forms and related information on their mobile devices.
30
Hsu, Tai-Wen, Jian-Wu Lai, and Yuan-Jyh Lan. "EXPERIMENTAL AND NUMERICAL STUDIES ON WAVE PROPAGATION OVER COARSE GRAINED SLOPING BEACH." Coastal Engineering Proceedings 1, no. 32 (January 25, 2011): 26. http://dx.doi.org/10.9753/icce.v32.waves.26.
Full textAbstract:
In this paper, the hydrodynamics and turbulence on wave propagation over coarse grained sloping beach is investigated by both experimental and numerical methods. The coarse grained sloping beach was conducted over a 1:5 smooth inclined bottom with two layers of spherical balls. A set of newly and rarely experimental data for the distribution and evolution of the wave and velocity field over porous sloping beach were measured in this study. The particle image velocimetry (PIV) and digital image process (DIP) techniques are employed to measure the flow field and free surface both inside and outside regions for a coarse grain porous sloping bed. Eleven fields of views (FOVs) were integrated to represent the global results converting the entire propagating waves from the outer to the inner surf zones and swash zones. In addition, a high-resolution CCD Camera was constructed to capture wave propagating images continuously. Subsequent digital image processing (DIP) techniques that including image enhancement, coordinate transformation, edge detection and sub-pixel concept for resolution advancement were developed to analysis the image and get the information of wave motions. In this experimental study, the PIV and DIP techniques offer a possibility for measuring full scale spatio-temporal information of the wave motions and velocity field within / without the porous sloping bed without instructive instrument. Furthermore, the FLOW-3D which based on the Navier-Stokes equations was adopted for CFD computations. The direct three-dimensional simulations were employed for simulating wave profile and velocity field for the sloping beach. Numerical results were favorably compared with experiments to examine the validity of the model. According to the comparison of the wave and velocity data of hydraulic physical model with computational results, the direct three-dimensional simulations method can offer results much agreement with the experimental data in the global regions. The results showed that direct three-dimensional simulations can resolve the wave and velocity profile more complete and reasonable descriptions from outer to the inner porous layer and it is true no matter in the surf zone, swash zone and within the porous layer. Moreover, according to the experimental analysis, the process of the turbulence characteristics of the maximum turbulent kinetic energy, turbulent kinetic energy dissipation rate and turbulence intensity occurred between the toe of breaker and surface of porous layer. In addition, general discussion of hydrodynamics and turbulence on wave propagation over coarse grained sloping beach and impermeable sloping bed were investigated with the results of direct three-dimensional simulations in this study. The results showed that wave propagation over coarse grained sloping beach effects the breaker types in the shallow water, i.e. the steepening and overturning of the front face due to plunging breaker over impermeable sloping beach becomes indistinctively and the breaker type transform into the collapsing type. Besides, the dissipation of wave energy due to the role of infiltration and friction are significant differences from surf zone to swash zone between the coarse grained and impermeable sloping beach.
31
Zhao, Wen Cang, and Xiao Yu Chi. "Local Feature Extraction Technique Based on Stored Product Pests Target Recognition." Advanced Materials Research 846-847 (November 2013): 1129–32. http://dx.doi.org/10.4028/www.scientific.net/amr.846-847.1129.
Full textAbstract:
In recent years, the target of local feature extraction and recognition technology is a hot research topic in digital image processing and computer vision field.In target recognition, pest undetected phenomenon often happens due to occlusion, once the conditions are favorable, pests quickly multiply and spread, causing great harm to the stored product.we established a common stored product pests image database, proposed feature extraction and matching algorithms, based on the combination of improved SURF and multi-resolution histogram.Pests specified in the database for target identification, especially when the pest is partially obscured, or the shape and size changes,by finding matching number of feature points the description of the target for accurate identification .This method is efficient, time-saving,provides an important scientific basis for the entry-exit inspection and quarantine in rapid identification of stored product pests.It is more conducive to the subsequent classification.
32
Barbu, Tudor. "Feature Keypoint-Based Image Compression Technique Using a Well-Posed Nonlinear Fourth-Order PDE-Based Model." Mathematics 8, no. 6 (June 7, 2020): 930. http://dx.doi.org/10.3390/math8060930.
Full textAbstract:
A digital image compression framework based on nonlinear partial differential equations (PDEs) is proposed in this research article. First, a feature keypoint-based sparsification algorithm is proposed for the image coding stage. The interest keypoints corresponding to various scale-invariant image feature descriptors, such as SIFT, SURF, MSER, ORB, and BRIEF, are extracted, and the points from their neighborhoods are then used as sparse pixels and coded using a lossless encoding scheme. An effective nonlinear fourth-order PDE-based scattered data interpolation is proposed for solving the decompression task. A rigorous mathematical investigation of the considered PDE model is also performed, with the well-posedness of this model being demonstrated. It is then solved numerically by applying a consistent finite difference method-based numerical approximation algorithm that is next successfully applied in the image compression and decompression experiments, which are also discussed in this work.
33
Moser, Patrick. "The Hawaii Promotion Committee and the Appropriation of Surfing." Pacific Historical Review 89, no. 4 (2020): 500–527. http://dx.doi.org/10.1525/phr.2020.89.4.500.
Full textAbstract:
The advent of digital newspapers is providing critical historical information for subjects like surfing that have traditionally had so few primary sources available to researchers. A review of newspapers from the early twentieth century reveals important new evidence that the Hawaii Promotion Committee (HPC) helped support the growth of surfing by coordinating a transpacific marketing campaign to highlight the sport for the sake of boosting tourism. However, because the HPC and the newspapers in which it published its weekly reports represented arms of the colonial powers, much of that new information must be understood in the broader context of how the local Caucasian or haole population used the newspapers to promote their own imperial vision of surfing while often ignoring or suppressing Native Hawaiian voices that represented a critical counternarrative. For their part, Native Hawaiians actively resisted the racist and pro-territorial propaganda by publishing their own newspapers and by directly competing against haole in and around the surf.
34
Oliveira, Felipe Victor de Sá, and Anthony Lins. "LUISA: Uma Proposta de Ferramenta para Auxílio Ao Diagnóstico do Câncer de Mama a Partir de Imagens de Mamografias Digitalizadas." Revista de Engenharia e Pesquisa Aplicada 5, no. 2 (April 30, 2020): 73–83. http://dx.doi.org/10.25286/repa.v5i2.1359.
Full textAbstract:
Problema crescente no mundo, o câncer de mama é considerado um dos principais causadores de mortes em mulheres. A mamografia digital é o principal método de detecção precoce deste tipo de câncer, porém sua interpretação é difícil até mesmo para um profissional. Técnicas de aprendizado de máquina são utilizadas para facilitar esta interpretação. Assim, o presente trabalho tem como objetivo propor um sistema de detecção auxiliado por computador para colaborar com profissionais no diagnóstico do câncer de mama, a partir da análise de imagens de mamografias digitalizadas. Candidatos à lesão foram gerados a partir da utilização do algoritmo de detecção de ponto de interesse SURF e passaram por um processo de classificação utilizando Redes Neurais Convolucionais (CNN) e Random Forests (RF). Foram utilizadas 1210 imagens da base CBIS-DDSM. A CNN apresentou melhores resultados alcançando no treinamento 0,06% de perda e 97% acurácia. No cenário de validação obteve 32% de perda e 93% de acurácia. Para modelo RF as características das imagens foram extraídas a partir do descritor Hu-Moments obtendo uma acurácia de 43% ± 0.005.
35
Park, Jin Ah, Chang Su Lee, and Jong C. Park. "Information Visualization with Text Data Mining for Knowledge Discovery Tools in Bioinformatics." Key Engineering Materials 277-279 (January 2005): 259–65. http://dx.doi.org/10.4028/www.scientific.net/kem.277-279.259.
Full textAbstract:
An abundant amount of information is produced in the digital domain, and an effective information extraction (IE) system is required to surf through this sea of information. In this paper, we show that an interactive visualization system works effectively to complement an IE system. In particular, three-dimensional (3D) visualization can turn a data-centric system into a user-centric one by facilitating the human visual system as a powerful pattern recognizer to become a part of the IE cycle. Because information as data is multidimensional in nature, 2D visualization has been the preferred mode. However, we argue that the extra dimension available for us in a 3D mode provides a valuable space where we can pack an orthogonal aspect of the available information. As for candidates of this orthogonal information, we have considered the following two aspects: 1) abstraction of the unstructured source data, and 2) the history line of the discovery process. We have applied our proposal to text data mining in bioinformatics. Through case studies of data mining for molecular interaction in the yeast and mitogen-activated protein kinase pathways, we demonstrate the possibility of interpreting the extracted results with a 3D visualization system.
36
Garczyk, Żaneta, Sebastian Stach, Ştefan Ţălu, Dinara Sobola, and Zygmunt Wróbel. "Stereometric Parameters of Butterfly Wings." Journal of Biomimetics, Biomaterials and Biomedical Engineering 31 (March 2017): 1–10. http://dx.doi.org/10.4028/www.scientific.net/jbbbe.31.1.
Full textAbstract:
This paper analyses the data stereometric of three samples obtained using the atomic force microscope. The data concern the two butterfly species: Euploea mulciber (known as “Striped Blue Crow”) and Morpho didius (also named as “Giant Blue Morpho”). These species have a strong correlation color wings of the angle of incidence of light. This is structural coloration and it depends on the surface topography. Here we present a method for the topography evaluation. A script created in Matlab software version R2012 by MathWorks® was used for segmentation data stereometric and analysis of localized motifs occurring on the surface of the samples. An analysis of the data using stereometric software MountainsMap® Premium version 7.3.7746 by Digital Surf was made to compare the results obtained using the script developed in Matlab, for identification of all sorts of motifs, such as peaks, pits, or irregular shapes in correlation with the surface statistical parameters. The analysis of motifs is essential when choosing the appropriate technique for imaging the 3-D (three-dimensional) microtextured features of butterfly wings surfaces. This stereometric analysis proves to be an effective method that can be successfully used for estimation of micro- and nano- topography by processing of AFM data
37
Sreenivasulu, Reddy. "Optimum combination of process parameters to optimize Surface Roughness and Chip Thickness during End Milling of Aluminium 6351-T6 Alloy Using Taguchi Grey Relational Analysis." Independent Journal of Management & Production 8, no. 2 (June 1, 2017): 287. http://dx.doi.org/10.14807/ijmp.v8i2.546.
Full textAbstract:
In any machining operations, quality is the important conflicting objective. In order to give assurance for high productivity, some extent of quality has to be compromised. Similarly productivity will be decreased while the efforts are channelized to enhance quality. In this study, the experiments were carried out on a CNC vertical machining center (KENT and INDIA Co. Ltd, Taiwan make) to perform 10mm slots on Al 6351-T6 alloy work piece by K10 carbide, four flute end milling cutter as per taguchi design of experiments plan by L9 orthogonal array was choosen to determine experimental trials. Furthermore the spindle speed (rpm), the feed rate (mm/min) and depth of cut (mm) are regulated in these experiments. Surface roughness and chip thickness was measured by a surface analyser of Surf Test-211 series (Mitutoyo) and Digital Micrometer (Mitutoyo) with least count 0.001 mm respectively. Grey relational analysis was employed to minimize surface roughness and chip thickness by setting of optimum combination of machining parameters. Minimum surface roughness and chip thickness obtained with 1000 rpm of spindle speed, 50 mm/min feed rate and 0.7 mm depth of cut respectively. Confirmation experiments showed that Gray relational analysis precisely optimized the drilling parameters in drilling of Al 6351-T6 alloy.
38
Lin, Ray-Qing, and Tim Smith. "Numerical Modeling of a Planing Hull Maneuvering in a Regular Wave, Part 1: Dynamic Instability." Journal of Ship Production and Design 29, no. 02 (May 1, 2013): 76–83. http://dx.doi.org/10.5957/jspd.2013.29.2.76.
Full textAbstract:
The surf rescue boat (SRB) of the U.S. Coast Guard is a class of high-speed planing boats. This 9-meter craft is capable of operating at speeds up to Froude number 1.7. However, when it begins to maneuver in incident waves near its maximum speed, dynamic instability occurs immediately. In this instance, the craft trims and rolls to a large heel angle with "plow-In," even with small-amplitude incident waves and small course changes. In this study, a fully nonlinear ship motion model named the Digital Self-consistent Ship Experimental Laboratory (DiSSEL) is used as a numerical tool to understand the physics that cause the dynamic instabilities. DiSSEL showed that when SRB reached Froude number 1.698, acceleration resulting from heading change would cause a dynamic force and moment imbalance, resulting in heel and pitch motion instabilities. DiSSEL also showed that if the heading is fixed, and other conditions remain the same, the instability did not occur. Unfortunately, there is no detailed record of the data or numerical simulation of the ship motions in the stable and unstable regions, except for the description of the ship motions by Codega and Lewis (1987). The simulations by DiSSEL agree well with this description.
39
Spyrou, Evaggelos, Rozalia Nikopoulou, Ioannis Vernikos, and Phivos Mylonas. "Emotion Recognition from Speech Using the Bag-of-Visual Words on Audio Segment Spectrograms." Technologies 7, no. 1 (February 4, 2019): 20. http://dx.doi.org/10.3390/technologies7010020.
Full textAbstract:
It is noteworthy nowadays that monitoring and understanding a human’s emotional state plays a key role in the current and forthcoming computational technologies. On the other hand, this monitoring and analysis should be as unobtrusive as possible, since in our era the digital world has been smoothly adopted in everyday life activities. In this framework and within the domain of assessing humans’ affective state during their educational training, the most popular way to go is to use sensory equipment that would allow their observing without involving any kind of direct contact. Thus, in this work, we focus on human emotion recognition from audio stimuli (i.e., human speech) using a novel approach based on a computer vision inspired methodology, namely the bag-of-visual words method, applied on several audio segment spectrograms. The latter are considered to be the visual representation of the considered audio segment and may be analyzed by exploiting well-known traditional computer vision techniques, such as construction of a visual vocabulary, extraction of speeded-up robust features (SURF) features, quantization into a set of visual words, and image histogram construction. As a last step, support vector machines (SVM) classifiers are trained based on the aforementioned information. Finally, to further generalize the herein proposed approach, we utilize publicly available datasets from several human languages to perform cross-language experiments, both in terms of actor-created and real-life ones.
40
Dans Álvarez-de-Sotomayor, Isabel, and Pablo César Muñoz Carril. "Internet y redes sociales: un desafío a la convivencia familiar." Educatio Siglo XXI 39, no. 2 (June 24, 2021): 123–42. http://dx.doi.org/10.6018/educatio.463221.
Full textAbstract:
Este artículo explora cómo internet y las redes sociales pueden convertirse en el origen de conflictos en la esfera familiar. Se analiza la influencia de Internet en la convivencia familiar, examinando las preocupaciones y necesidades para educar en el ámbito digital. Se ha desarrollado un estudio cuantitativo no experimental empleando el método de encuesta. Participaron 1144 estudiantes de educación secundaria de la ciudad de A Coruña, todos ellos usuarios de internet y redes sociales. Un 76% de los encuestados manifiesta que sus padres no les prohíben nada cuando navegan por la red. Entre las principales acciones que los progenitores impiden realizar a sus hijos e hijas, se encuentran: realizar compras en línea, dar información personal y enviar correos a personas desconocidas. También se ha podido identificar que un 49% de los menores discute con sus padres por el uso de internet. Asimismo, se constata que las mujeres, frente a los hombres, son las que afirman que su familia se preocupa en mayor medida por el tipo de contenidos a los que acceden, así como por los contactos incluidos en sus redes sociales. Resulta necesario que padres y madres tomen conciencia de la importancia que supone educar a sus hijos/as en un uso responsable de la tecnología. En este sentido, adquirir una adecuada educación digital en el seno familiar resulta clave para minimizar conflictos, así como prevenir y tomar conciencia de los riesgos derivados de un uso inadecuado de internet y de las redes sociales. This article explores how the Internet and social networks can become the source of conflicts in the family sphere. The influence of the Internet on family life is analyzed, examining the concerns and needs when it comes to education in the digital world. A non-experimental quantitative study was carried out using the survey method. 1144 high school students from the city of A Coruña participated, all of them Internet and social media users. 76% of those surveyed state that their parents do not forbid them anything when they surf on the Net. The main actions that parents prevent their sons and daughters from doing include making online purchases, giving personal information and sending emails to strangers. It was also identified that 49% of minors argue with their parents about using the Internet. Likewise, it was found that women, in contrast to men, affirm that their family cares more about the type of content they access, as well as the contacts included on their social networks. It is necessary for parents to become aware of the importance of educating their children in a responsible use of technology. In this sense, acquiring adequate digital education within the family is key to minimizing conflicts, as well as preventing and becoming aware of the risks derived from an inappropriate use of the Internet and social networks.
41
Simioni, E., C. Re, T. Mudric, A. Pommerol, N. Thomas, and G. Cremonese. "A PHOTOGRAMMETRIC PIPELINE FOR THE 3D RECONSTRUCTION OF CASSIS IMAGES ON BOARD EXOMARS TGO." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-3/W1 (July 25, 2017): 133–39. http://dx.doi.org/10.5194/isprs-archives-xlii-3-w1-133-2017.
Full textAbstract:
CaSSIS (Colour and Stereo Surface Imaging System) is the stereo imaging system onboard the European Space Agency and ROSCOSMOS ExoMars Trace Gas Orbiter (TGO) that has been launched on 14 March 2016 and entered a Mars elliptical orbit on 19 October 2016. During the first bounded orbits, CaSSIS returned its first multiband images taken on 22 and 26 November 2016. The telescope acquired 11 images, each composed by 30 framelets, of the Martian surface near Hebes Chasma and Noctis Labyrithus regions reaching at closest approach at a distance of 250 km from the surface. Despite of the eccentricity of this first orbit, CaSSIS has provided one stereo pair with a mean ground resolution of 6 m from a mean distance of 520 km. The team at the Astronomical Observatory of Padova (OAPD-INAF) is involved into different stereo oriented missions and it is realizing a software for the generation of Digital Terrain Models from the CaSSIS images. The SW will be then adapted also for other projects involving stereo camera systems. To compute accurate 3D models, several sequential methods and tools have been developed. The preliminary pipeline provides: the generation of rectified images from the CaSSIS framelets, a matching core and post-processing methods. The software includes in particular: an automatic tie points detection by the Speeded Up Robust Features (SURF) operator, an initial search for the correspondences through Normalize Cross Correlation (NCC) algorithm and the Adaptive Least Square Matching (LSM) algorithm in a hierarchical approach. This work will show a preliminary DTM generated by the first CaSSIS stereo images.
42
Zamir, Ammara, Hikmat Ullah Khan, Tassawar Iqbal, Nazish Yousaf, Farah Aslam, Almas Anjum, and Maryam Hamdani. "Phishing web site detection using diverse machine learning algorithms." Electronic Library 38, no. 1 (January 2, 2020): 65–80. http://dx.doi.org/10.1108/el-05-2019-0118.
Full textAbstract:
Purpose This paper aims to present a framework to detect phishing websites using stacking model. Phishing is a type of fraud to access users’ credentials. The attackers access users’ personal and sensitive information for monetary purposes. Phishing affects diverse fields, such as e-commerce, online business, banking and digital marketing, and is ordinarily carried out by sending spam emails and developing identical websites resembling the original websites. As people surf the targeted website, the phishers hijack their personal information. Design/methodology/approach Features of phishing data set are analysed by using feature selection techniques including information gain, gain ratio, Relief-F and recursive feature elimination (RFE) for feature selection. Two features are proposed combining the strongest and weakest attributes. Principal component analysis with diverse machine learning algorithms including (random forest [RF], neural network [NN], bagging, support vector machine, Naïve Bayes and k-nearest neighbour) is applied on proposed and remaining features. Afterwards, two stacking models: Stacking1 (RF + NN + Bagging) and Stacking2 (kNN + RF + Bagging) are applied by combining highest scoring classifiers to improve the classification accuracy. Findings The proposed features played an important role in improving the accuracy of all the classifiers. The results show that RFE plays an important role to remove the least important feature from the data set. Furthermore, Stacking1 (RF + NN + Bagging) outperformed all other classifiers in terms of classification accuracy to detect phishing website with 97.4% accuracy. Originality/value This research is novel in this regard that no previous research focusses on using feed forward NN and ensemble learners for detecting phishing websites.
43
Gómez-Galán, José, José Ángel Martínez-López, Cristina Lázaro-Pérez, and José Carlos García-Cabrero. "Open Innovation during Web Surfing: Topics of Interest and Rejection by Latin American College Students." Journal of Open Innovation: Technology, Market, and Complexity 7, no. 1 (January 6, 2021): 17. http://dx.doi.org/10.3390/joitmc7010017.
Full textAbstract:
The university is currently involved in complex processes of open innovation through permanent dialogue with institutions and companies in the economic, social, and political fields. Professors, researchers, students, and other members of the institution take part in these processes. This is a phenomenon that has emerged in today’s network society due to digitalization and globalization. It is therefore essential, in this context of open innovation, to know the behaviors, habits, consumption, or lifestyles of university staff and students to achieve, in the best and most effective way, integration of higher education in this new reality. How we interact and communicate with the surrounding people has transformed with wider access to the Internet and the development of information and communication technologies (ICTs), especially through smartphones and the use of apps and social networks (WhatsApp, Twitter, Facebook, etc.). This digital revolution has reconfigured our interests, dispositions, and social participation. From the university field, knowing the interests of students who access the Internet is of vital importance to guide teaching methodologies, adapt content, facilitate communication processes, develop digital literacy practices, etc. The present research, focused on the Latin American sociocultural space, has a double objective: (GO1) to know which are the issues of most interest and consumption for university students; (GO2) to determine which issues they reject while they surf on the Internet. A quantitative research has been developed (n = 2482) based on the validated questionnaire COBADI®. The topics of greatest interest to the Latin American university students were, in this order: “use of social networks”, “news”, “music”, “education”, “work”, and “videos”. The fact that they put education in fourth place, as students, shows that it is not a high priority in their use of the network. On the opposite side, those that show more rejection are “celebrity journalism”, “online games”, and “pornography”. Among their topics of rejection is also “politics”, which is not prioritized by university students. These topics have been presented in different proportions according to the country analyzed, depending on their specific social and political circumstances, and have experienced a different evolution from 2012 to 2019—the time covered by the study.
44
Chowdhary, Chiranji Lal. "3D Object Recognition System Based On Local Shape Descriptors and Depth Data Analysis." Recent Patents on Computer Science 12, no. 1 (January 10, 2019): 18–24. http://dx.doi.org/10.2174/2213275911666180821092033.
Full textAbstract:
Background: A physical object, which is actually in 3D form, is captured by a sensor/ camera (in case of computer vision) and seen by a human eye (in case of a human vision). When someone is observing something, many other things are also involved there which make it more challenging to recognize. After capturing such a thing by a camera or sensor, a digital image is formed which is nothing other than a bunch of pixels. It is becoming important to know that how a computer understands images. Objective: This paper is for highlighting novel techniques on 3D object recognition system with local shape descriptors and depth data analysis. Methods: The proposed work is applied to RGBD and COIL-100 datasets and this is of four-fold as preprocessing, feature generation, dimensionality reduction, and classification. The first stage of preprocessing is smoothing by 2D median filtering on the depth (Z-value) and registration by orientation correction on 3D object data. The next stage is of feature generation and having two phases of shape map generation with shape index map and SIFT/SURF descriptors. The dimensionality reduction is the third stage of this proposed work where linear discriminant analysis and principal component analysis are used. The final stage is fused on classification. Results: Here, calculation of the discriminative subspace for the training set, testing of object data and classification is done by comparing target and query data with different aspects for finding proper matching tasks. Conclusion: This concludes with new proposed approach of 3D Object Recognition. The local shape descriptors are used for 3D object recognition system to implement and test. This system is achieves 89.2% accuracy for Columbia object image library-100 images by using local shape descriptors.
45
Battineni, Gopi, Simone Baldoni, Nalini Chintalapudi, Getu Gamo Sagaro, Graziano Pallotta, Giulio Nittari, and Francesco Amenta. "Factors affecting the quality and reliability of online health information." DIGITAL HEALTH 6 (January 2020): 205520762094899. http://dx.doi.org/10.1177/2055207620948996.
Full textAbstract:
Background Internet represents a relevant source of information, but reliability of data that can be obtained by the web is still an unsolved issue. Non-reliable online information may have a relevance, especially in taking decisions related to health problems. Uncertainties on the quality of online health data may have a negative impact on health-related choices of citizens. Objective This work consisted in a cross-sectional literature review of published papers on online health information. The two main research objectives consisted in the analysis of trends in the use of health web sites and in the quality assessment and reliability levels of web medical sites. Methods Literature research was made using four digital reference databases, namely PubMed, British Medical Journal, Biomed, and CINAHL. Entries used were “trustworthy of medical information online,” “survey to evaluate medical information online,” “medical information online,” and “habits of web-based health information users”. Analysis included only papers published in English. The Newcastle Ottawa Scale was used to conduct quality checks of selected works. Results Literature analysis using the above entries resulted in 212 studies. Twenty-four articles in line with study objectives, and user characteristics were selected. People more prone to use the internet for obtaining health information were females, younger people, scholars, and employees. Reliability of different online health sites is an issue taken into account by the majority of people using the internet for obtaining health information and physician assistance could help people to surf more safe health web sites. Conclusions Limited health information and/or web literacy can cause misunderstandings in evaluating medical data found in the web. An appropriate education plan and evaluation tools could enhance user skills and bring to a more cautious analysis of health information found in the web.
46
Lessick, Susan. "SURA/ViDe Digital Video Workshop: A Summary." Library Hi Tech News 21, no. 5 (June 2004): 12–13. http://dx.doi.org/10.1108/07419050410546338.
Full text
47
Le Roy, S., R. Pedreros, C. André, F. Paris, S. Lecacheux, F. Marche, and C. Vinchon. "Coastal flooding of urban areas by overtopping: dynamic modelling application to the Johanna storm (2008) in Gâvres (France)." Natural Hazards and Earth System Sciences 15, no. 11 (November 11, 2015): 2497–510. http://dx.doi.org/10.5194/nhess-15-2497-2015.
Full textAbstract:
Abstract. Recent dramatic events have allowed significant progress to be achieved in coastal flood modelling over recent years. Classical approaches generally estimate wave overtopping by means of empirical formulas or 1-D simulations, and the flood is simulated on a DTM (digital terrain model), using soil roughness to characterize land use. The limits of these methods are typically linked to the accuracy of overtopping estimation (spatial and temporal distribution) and to the reliability of the results in urban areas, which are places where the assets are the most crucial. This paper intends to propose and apply a methodology to simulate simultaneously wave overtopping and the resulting flood in an urban area at a very high resolution. This type of 2-D simulation presents the advantage of allowing both the chronology of the storm and the particular effect of urban areas on the flows to be integrated. This methodology is based on a downscaling approach, from regional to local scales, using hydrodynamic simulations to characterize the sea level and the wave spectra. A time series is then generated including the evolutions of these two parameters, and imposed upon a time-dependent phase-resolving model to simulate the overtopping over the dike. The flood is dynamically simulated directly by this model: if the model uses adapted schemes (well balanced, shock capturing), the calculation can be led on a DEM (digital elevation model) that includes buildings and walls, thereby achieving a realistic representation of the urban areas. This methodology has been applied to an actual event, the Johanna storm (10 March 2008) in Gâvres (South Brittany, in western France). The use of the SURF-WB model, a very stable time-dependent phase-resolving model using non-linear shallow water equations and well-balanced shock-capturing schemes, allowed simulating both the dynamics of the overtopping and the flooding in the urban area, taking into account buildings and streets thanks to a very high resolution (1 m). The results obtained proved to be very coherent with the available reports in terms of overtopping sectors, flooded area, water depths and chronology. This method makes it possible to estimate very precisely not only the overtopping flows, but also the main characteristics of flooding in a complex topography like an urban area, and indeed the hazard at a very high resolution (water depths and vertically integrated current speeds). The comparison with a similar flooding simulation using a more classical approach (a digital terrain model with no buildings, and a representation of the urban area by an increased soil roughness) has allowed the advantages of an explicit representation of the buildings and the streets to be identified: if, in the studied case, the impact of the urbanization representation on water levels does indeed remain negligible, the flood dynamics and the current speeds can be considerably underestimated when no explicit representation of the buildings is provided, especially along the main streets. Moreover, on the seaside, recourse to a time-dependent phase-resolving model using non-stationary conditions allows a better representation of the flows caused by overtopping. Finally, this type of simulation is shown to be of value for hazard studies, thanks to the high level of accuracy of the results in urban areas where assets are concentrated. This methodology, although it is currently still quite difficult to implement and costly in terms of calculation time, can expect to be increasingly resorted to in years to come, thanks to the recent developments in wave models and to the increasing availability of LiDAR data.
48
Le Roy, S., R. Pedreros, C. André, F. Paris, S. Lecacheux, F. Marche, and C. Vinchon. "Coastal flooding of urban areas by overtopping: dynamic modelling application to the Johanna storm (2008) in Gâvres (France)." Natural Hazards and Earth System Sciences Discussions 2, no. 8 (August 4, 2014): 4947–85. http://dx.doi.org/10.5194/nhessd-2-4947-2014.
Full textAbstract:
Abstract. Recent dramatic events have allowed significant progress to be achieved in coastal flood modelling over recent years. Classical approaches generally estimate wave overtopping by means of empirical formulas or 1-dimensional simulations, and the flood is simulated on a DTM (Digital Terrain Model), using soil roughness to characterize land use. The limits of these methods are typically linked to the accuracy of overtopping estimation (spatial and temporal distribution) and to the reliability of the results in urban areas, which are places where the assets are the most crucial. This paper intends to propose and apply a methodology to simulate simultaneously wave overtopping and the resulting flood in an urban area at a very high resolution. This type of two-dimensional simulation presents the advantage of allowing both the chronology of the storm and the particular effect of urban areas on the flows to be integrated. This methodology is based on a downscaling approach, from regional to local scales, using hydrodynamic simulations to characterize the sea level and the wave spectra. A time series is then generated including the evolutions of these two parameters, and imposed upon a time-dependent phase-resolving model to simulate the overtopping over the dike. The flood is dynamically simulated directly by this model: if the model uses adapted schemes (well-balanced, shock-capturing), the calculation can be led on a DEM (Digital Elevation Model) that includes buildings and walls, thereby achieving a realistic representation of the urban areas. This methodology has been applied to an actual event, the Johanna storm (10 March 2008) in Gâvres (South Brittany, in western France). The use of the SURF-WB model, a very stable time-dependent phase-resolving model using NLSW equations and well-balanced shock-capturing schemes, allowed simulating both the dynamics of the overtopping and the flooding in the urban area, taking into account buildings and streets thanks to a very high resolution (1 m). The results obtained proved to be very coherent with the available reports in terms of overtopping sectors, flooded area, water heights and chronology. This method makes it possible to estimate very precisely not only the overtopping flows, but also the main characteristics of flooding in a complex topography like an urban area, and indeed the hazard at a very high resolution (water heights and vertically integrated current speeds). The comparison with a similar flooding simulation using a more classical approach (a Digital Terrain Model with no buildings, and a representation of the urban area by an increased soil roughness) has allowed the advantages of an explicit representation of the buildings and the streets to be identified: if, in the studied case, the impact of the urbanization representation on water heights does indeed remain negligible, the flood dynamics and the current speeds can be considerably underestimated when no explicit representation of the buildings is provided, especially along the main streets. Moreover, on the seaside, recourse to a time-dependent phase-resolving model using non-stationary conditions allows a better representation of the flows caused by overtopping. Finally, this type of simulation is shown to be of value for hazard studies, thanks to the high level of accuracy of the results in urban areas where assets are concentrated. This methodology, although it is currently still quite difficult to implement and costly in terms of calculation time, can expect to be increasingly resorted to in years to come, thanks to the recent developments in wave models and to the increasing availability of LiDAR data.
49
El-Hajjar, Mohammed, and Lajos Hanzo. "A Survey of Digital Television Broadcast Transmission Techniques." IEEE Communications Surveys & Tutorials 15, no. 4 (2013): 1924–49. http://dx.doi.org/10.1109/surv.2013.030713.00220.
Full text
50
Pesquet, J. C., A. Benazza-Benyahia, and C. Chaux. "A SURE Approach for Digital Signal/Image Deconvolution Problems." IEEE Transactions on Signal Processing 57, no. 12 (December 2009): 4616–32. http://dx.doi.org/10.1109/tsp.2009.2026077.
Full text