The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Image processing will play an important role for IoT (Internet of Things) applications. Nevertheless, noisy or erroneous images may invalidate image processing circuits. In the literature, there have been several image repair methods developed. However, most of them target noises. Erroneous images due to faulty circuits are seldom addressed. Although some previous work deals with this issue, single-bit...
Urdu text detection and extraction from videos especially from news feed is a challenging task. The main challenge is to design a robust algorithm that can accurately detect and localize Urdu text regions in videos. Urdu language is originated from oriental languages like Arabic, Persian and Turkish, so alphabets of these languages are very similar. Due to the similarities of basic alphabets and writing...
A significant requirement for any steganography technique is to lessen the movements happening in the cover picture by the data embedding handle. The wander proposes a uncommon course for steganography using a reversible surface mix in perspective of edge flexible and tree based uniformity check methods to improve as far as possible. This approach offers three unmistakable central focuses. In any...
Time mode signal processing (TMSP) is the implementation of analog signal processing functions using the most basic element available, namely, propagation delay. Moreover, a time to digital converter (TDC), an important block of time mode circuits, could be used to convert the time difference between two edges of two signals into a sequence of digital numbers. In this paper, a new time mode SerDes...
A design and simulation of high-speed level shifter that reduces jitter deviations is presented. The proposed methodology of design provides robust mechanism to boost level-shifter output edges and improves transmitting signal quality. The edge detection circuit was used to generate pulses during signal edges and activates additional fingers of level shifter. The presented level-shifter circuit can...
Asian countries like Indonesia, Cambodia, Thailand and India used Palm leaves to record vital information, to pass it down the generations. Palm Leaves are innate, organic items and presented to attrition because of climatic elements, light and insects. This poses a hazard in scrutinizing the invaluable details. Preservation and translation of information on these palm leaves into a digital format...
The incredible popularity of the Android mobile operating system has resulted in a massive influx of malicious applications for the platform. This malware can come from a number of sources as Google allows the installation of Android App Packages (APKs) from third parties. Even within its own Google Play storefront, however, malicious software can be found.
The estimation of blurred regions is an important stage in several computer vision applications. In this paper an efficient training-free detector of local blurriness based on edge features is presented. Due to the intrinsic sparsity of edges in natural images a blur map is creating by using an approach based on the heat diffusion principle. A 2D point discrete Poisson solver is concatenated with...
Twitter, a well-liked online social networking site, facilitates millions of users on a daily basis to dispatch and orate quick 140-character notes named tweets. Nowadays, twitter is cogitated as the fastest and popular intermediate of communication and is used to follow latest events. Tweets pertaining to a specific event can be effortlessly found using keyword matching, but there are numerous tweets...
Finding of frequent sub-graphs is an important operation on graphs and it is defined as detection of all sub-graphs that appear frequently in a set of graphs. This paper proposes detection of frequent sub-community graph from n-set of community graph of villages; are useful for characterizing community graph sets, finding difference among groups of community graphs, classifying and clustering of community...
Graphlets represent small induced subgraphs and are becoming increasingly important for a variety of applications. Despite the importance of the local subgraph (graphlet) counting problem, existing work focuses mainly on counting graphlets globally over the entire graph. These global counts have been used for tasks such as graph classification as well as for understanding and summarizing the fundamental...
Signed networks remain relatively under explored despite the fact that many real networks are of this kind. Here, we study the problem of subgraph density in signed networks and show connections to the event detection task. Notions of density have been used in prior studies on anomaly detection, but all existing methods have been developed for unsigned networks. We develop the first algorithms for...
Given a network with attributed edges, how can we identify anomalous behavior? Networks with edge attributes are ubiquitous, and capture rich information about interactions between nodes. In this paper, we aim to utilize exactly this information to discern suspicious from typical behavior in an unsupervised fashion, lending well to the traditional scarcity of ground-truth labels in practical anomaly...
In this paper, we present a novel approach based on a rubber band technique to solve the "maximum flow" problem for a single-source, single-sink directed graph implemented on the Microsoft Azure cloud platform. The problem of finding the maximum possible flow for a given graph is a classic network optimization problem that arises in several real life circumstances. Having proposed several...
Louvain algorithm is known to be fast to deliver good results in detecting communities of big graphs. This paper further speeds up Louvain algorithm by restricting the internal search rules and early pruning the non-promising candidates. Experimental results of the modified algorithm on various sized data show outstanding speedups of up to 40.5 and 4.7 times for weighted graphs and unweighted graphs,...
The market of light-emitting devices (LED) is growing dramatically over these years. To test the quality of LEDs, lots of LED probes are required. Therefore, it is important to develop an effective method to measure the angle (around 10 degrees) and the radius (15 µm ∼ 30 µm) of a produced LED probe. In this study, we propose a new subpixel edge detection for LED probes. The proposed method mainly...
Equirectangular panoramas are popular tools for achieving 360 degree immersed viewing experiences. A panorama captures a scene from one point and panoramic viewers allow the user to control the viewing direction, but the viewer is not allowed to move around. This study proposes a strategy for transforming equirectangular panoramic images with the effect of moving freely in three dimensions. The strategy...
Automatically identifying plants from images is a hot research topic due to its importance in production and science popularization. This process attempts to automatically identify the name of a plant with a known taxon from a given image. The majority of existing studies on automatic plant identification focus on identifying plants with a single organ, such as flower, leaf, or fruits. Plant identification...
Driving behaviour prediction is a challenging problem due to the nonlinearity of human behaviour. Linear and nonlinear techniques have been used to solve this problem, and they provide good results presented in the performance of the current autonomous cars. However, they lack the ability to adapt to abruptness that happens because of the human factor. In this paper, we introduce a method to extract...
Sensor fusion is an important part of modern cyber-physical systems that observe and analyse real-world environments. Time-of-Flight depth cameras provide high frame rate low-resolution depth data that can be efficiently used in many applications related to cyber-physical systems. In this paper, we address the critical issue of upsampling and enhancing the low-quality depth data using a calibrated...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.