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The steganography is the art of hidden; its main aim is to pass unnoticed data in another data. There are many types of data that used in steganography, such as message, image, and video. In this work, we are interested in hiding a message inside an image. Our work focuses on the study of three approaches based on least significant bit (LSB) techniques that mean put the bits of the message in the...
Data literacy education provides an opportunity for libraries and departments to collaborate to meet the rapidly changing needs of students, faculty, and researcher. Expertise is required and expected in so many areas that navigating the changing climate can be overwhelming. However, a large midwestern university has developed a library-facilitated initiative that delivers instructional content to...
In this study we provide our methodology and implementation strategy of Sketchnoting in Freshman Engineering and Technological Literacy classes. The objective is to improve students' learning, visualization, and communication proficiencies, as well as to foster advancement in knowledge retention, and critical thinking. This study provides the motivation, supporting research background, design, and...
Engineering culture has traditionally limited rather than fostered diversity in engineering. This culture serves to limit representation of diverse individuals within engineering and create environments that are detrimental to creativity, problem solving, and productivity. One way to address this issue is to understand how students align themselves with the cultural values of engineering and navigate...
While prior studies on student innovation have examined cognitive and social aspects, recent studies have demonstrated the important role motivation plays in the engineering student experience of innovation, particularly in dealing with the unique challenges innovation presents. However, motivation can be observed in diverse ways and at diverse levels. Using Deci & Ryan's Self-determination Theory,...
In some CS0 settings, innovation and use of technology are not always an option due to costs, poor internet infrastructure and cultural aspects of teaching. It also happens that students are not familiar with CS since they are not educated about it at schools. These circumstances pose a more challenging situation in terms of encouraging beginners to become interested in this subject during an introductory...
Polar coding is a low-complexity method for communication over noisy classical channels, which is capable of providing highly reliable data transmission. This paper proposes an enhanced polar codec scheme for mission critical applications in train-to-ground wireless communications. Firstly, we develop an enhanced polar coding scheme to support reliable data transmission under time-varying channel...
As the conventional QAM has a square constellation, PAPR is high due to the corner signal points. To overcome this, the (3 × 2m)-ary QAM with even m was proposed recently. For odd m, the rectangular constellation has high PAPR and perfect Gray code, while the diamond constellation has low PAPR and imperfect Gray code. In this paper, we propose a scheme assigning quasi-Gray code to the diamond constellation...
Computing has become ubiquitous in many fields. The pervasiveness of computing has catalyzed growing demand for a broad range of skills. However, recent trends suggest a growing gap between supply-versus-demand for programmers — estimates indicate that by 2024, there will be a million more jobs than computing professionals resulting in over $500 billion in lost salaries. A key aspect to this growing...
A new synthesis scheme is proposed to effectively generate a random vector with prescribed joint density that induces a (latent) Gaussian tree structure. The quality of synthesis is measured by total variation distance between the synthesized and desired statistics. The proposed layered and successive encoding scheme relies on the learned structure of tree to use minimal number of common random variables...
In this paper, we investigate the performance of a generic relay system for small cells. The main features include the selection decode-and-forward (DF) scheme, Rician and Rayleigh fading, single or repeated transmissions in direct link, and maximal-ratio combining at destination. We are able to derive a set of closed-form expressions for the end-to-end performance. Based on these formulas, we define...
This paper presents the joint design of network coding and backpressure algorithm for cognitive radio networks and its implementation with software-defined radios (SDRs) in a high fidelity network emulation testbed. The backpressure algorithm is known to provide throughput optimal solutions to joint routing and scheduling for dynamic packet traffic. This solution applies to cognitive radio networks...
An efficient numeral-based coding mechanism, called SDT-free is proposed in this paper that avoids crosstalk faults. The SDT-free coding mechanism completely removes bit patterns ‘11111’ and ‘00000’ which impose the worst crosstalk effects considering inductance effects. In this way, the coding mechanism improves the reliability of chip channels and offers invariant delay for channels. To minimize...
Along with advances in modern VLSI technology, delay faults are becoming ever more important. On the other hand, the strength of SAT-solver engines has made them an attractive means for solving many Computer Aided Design (CAD) problems. This paper presents a new SAT-based Automatic Test Pattern Generation (ATPG) approach targeting transition delay faults using a novel 8-value encoding system. Experimental...
In this paper, an efficient content-based rate control scheme is proposed in the context of rate-distortion optimization for 3-D wavelet-based scalable video coding (SVC). Despite the prevalence of the conventional rate control methods in DCT-based SVC, the underlying formulation is not directly applicable to 3-D wavelet-based SVC. Performing optimal rate control with 3-D wavelet coding methods is...
This paper proposes a multiple audio source separation method by using the intra-object-sparsity (in each frame, the energy of an audio signal concentrates on small number of time-frequency instants) encoding framework. Specifically, by applying the intra-object-sparsity of audio signal, each source is encoded to obtain a sparse representation of it while preserves the major energy of the original...
Convolutional sparse coding (CSC) is a promising direction for unsupervised learning in computer vision. In contrast to recent supervised methods, CSC allows for convolutional image representations to be learned that are equally useful for high-level vision tasks and low-level image reconstruction and can be applied to a wide range of tasks without problem-specific retraining. Due to their extreme...
Learning to hash has been widely applied to approximate nearest neighbor search for large-scale multimedia retrieval, due to its computation efficiency and retrieval quality. Deep learning to hash, which improves retrieval quality by end-to-end representation learning and hash encoding, has received increasing attention recently. Subject to the ill-posed gradient difficulty in the optimization with...
Convolutional sparse coding (CSC) plays an essential role in many computer vision applications ranging from image compression to deep learning. In this work, we spot the light on a new application where CSC can effectively serve, namely line drawing analysis. The process of drawing a line drawing can be approximated as the sparse spatial localization of a number of typical basic strokes, which in...
For large-scale visual search, highly compressed yet meaningful representations of images are essential. Structured vector quantizers based on product quantization and its variants are usually employed to achieve such compression while minimizing the loss of accuracy. Yet, unlike binary hashing schemes, these unsupervised methods have not yet benefited from the supervision, end-to-end learning and...
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