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In cryptology, verifiable computing aims at verifying the remote execution of a program on an untrusted machine, based on its I/O and constant-sized evidence collected during its execution. Recent cryptographic schemes and compilers enable practical verifiable computations for some programs written in C, but their soundness with regards to C semantics remains informal and poorly understood. We present...
Modern wearable devices demand low power high performance medical signal monitoring to achieve efficient and reliable health-care services. The electrocardiogram (ECG) signal which is used to diagnose heart diseases requires 24 hour monitoring. Efficient VLSI implementation of lossless ECG encoder is the critical requirement in wireless health care services. This paper presents an area efficient and...
Discrete choice model is an important theoretical basis for the study of customer behavior. Relative to the classic multinomial logit (MNL) and nested logit (NL) model, due to the new marginal distribution model (MDM) and marginal moment model (MMM) model, the limiting condition is very weak and the applicability is strong, and they can be widely used in the development of product line. This paper...
The success of sparse representation, in face recognition and visual tracking, has attracted much attention in computer vision in spite of its computational complexity. These sparse representation-based methods assume that the coding residual follows either Gaussian or Laplacian distribution, which may not be accurate enough to describe the coding residuals in real scenarios. In order to deal with...
This paper shows the results of simulation of high spectral efficiency modulation and coding scheme (MSC) which consist of modulation PSK-16+4PCM and error-correction Reed-Solomon code in comparison with other high spectral efficiency schemes for different radio link signal distortion ways. Proposed MSC show close result with PSK-64 with FEC and in comparison with QAM-64 with FEC proposed MSC showed...
We study the transmission over a cloud radio access network in which multiple base stations (BS) are connected to a central processor (CP) via finite-capacity backhaul links. We propose a lattice-based coding scheme in which the BSs decode linear combinations of the transmitted messages, in the spirit of Compute-and-Forward (CoF), but differs from it essentially in that the decoded equations are remapped...
In this paper, we consider an overlay cognitive radio network that transmits discrete-time analog sources over additive white Gaussian noise channels. Our focus is on the case where the primary and secondary sources are correlated. The secondary user (SU) knows the primary message non-causally, and allocates part of its power for transmitting the primary message. We study a hybrid digital-analog coding...
The correct operation of transducers such as electric motors, is becoming increasingly important in autonomous systems that depend on the reliability of the underlying electronics to deliver Quality of Service to the end customer. In this paper, a methodology for detecting errors in DC motor operation and adapting its control parameters to compensate for the same using continuous linear checksums,...
Sparse coding models have been widely used to decompose monocular images into linear combinations of small numbers of basis vectors drawn from an overcomplete set. However, little work has examined sparse coding in the context of stereopsis. In this paper, we demonstrate that sparse coding facilitates better depth inference with sparse activations than comparable feed-forward networks of the same...
The main reason for the long time and high energy requirements of state-of-the-art Video Coding (VC) standards, such as the HEVC, is the large amount of distortion calculations. Among the most known and used ones is the Sum of Squared Differences (SSD) which has a strong correlation with the Peak Signal-to-Noise Ratio (PSNR). Such correlation is explored by current encoders to provide a good trade-off...
Coverage problem is a fundamental issue in designing efficient wireless sensor networks, in which both coverage rate and energy consumption should be considered. A brain storm optimization algorithm is a swarm intelligence algorithm which is inspired by the human brainstorming process. This paper will focus on the application of the brain storm optimization algorithm in full coverage problems of wireless...
In many cases, view synthesis prediction (VSP) for 3D video coding suffers from inaccurate depth maps (DMs) caused by non-reliable point correspondences in low textured areas. In addition, occlusion handling is a major issue if prediction is performed from one reference view. In this paper, we address VSP for non-coplanar 3D video sequences modified by a linear DM enhancement model. In this model,...
We consider the problem of equalizing the quantization noise between two video encoders operating with video stored using different transfer function. Here, a transfer function is the mapping between linear light and the quantized code words and includes, for example, the well-known “gamma curve” used for most video applications. Our motivation for studying this problem is that the solution enables...
Very high-resolution video systems, such as 4K (3840×2160), enable a very close viewing distance that is almost the same as the picture height. This technology enables high-reality systems in homes to be realized. However, the very short distance causes significantly different views across the picture, and uniform processing for the picture may not always be the best choice. Here, we calculate the...
Optimistic simulation yields impressive performance gains for many models. State saving is a quick way to provide the rollback mechanism required for this approach, but it has some drawbacks: it may not handle models with massive states or be able to support memory-constrained systems. This work presents a novel approach to state saving by storing only the relative changes caused by an event. Compressing...
This paper analyzes the developing process of cruise tourism product at home and abroad and propose further analysis on existing problems on domestic market, to put forward a novel idea for cruise tourism product. By analysis we take the demand feature including navigation time, port of call, etc. Into account to establish cruise route optimization model. Aiming at the largest tourist volume and the...
This paper addresses to design an R-S (Reed-Solomon) encoder and R-S decoder and verify its functionality on FPGA. An RTL (register transfer logic) code was developed for an R-S encoder that takes a 32-bit input data and produces a 48-bit output. The logic synthesis and optimization of the code was carried out using Quartus II tool. Also, an R-S decoder was developed that decodes the transmitted data.
Recently, Digital Video Broadcasting (DVB) has evolved to improve the spectrum efficiency of current multimedia communications. This paper summarizes the main features and presents the error performance for the second generation of satellite DVB (DVB-S2) utilizing an upgraded MATLAB simulation model. In addition, the paper makes a validation of the developed simulation model by comparing between model...
In order to distinguish cover images and stego images, JPEG steganalysis technology has growing ties with machine learning in recent years. As an important research field in machine learning, dictionary learning (DL) has been successfully applied to various tasks, but its application in steganalysis is insufficient. In this paper, we propose a hybrid dictionary learning framework for JPEG steganalysis...
This paper presents a novel coding tree depth estimation method for H.265/HEVC using neighboring block information. There have been some complexity reduction methods for H.265/HEVC by estimating coding tree structure from neighboring blocks, while preserving almost the same image quality and compression rate. The coding tree structure is not estimated for all the frames, its interval is determined...
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