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This paper discusses the problem of Sundanese into Indonesian text translation, as one of low-resource language pair translation. The number of parallel corpus gives a significant impact on a statistical machine translation. Whereas to date, there are no Sundanese to Indonesian parallel corpus that ready to use. It is, therefore, we apply the PoS Tag rather than only surface form in the translation...
The primary objective of this paper is to make a performance comparison in terms of outage probability between decode-and-forward with joint decoding (DF-JD) and lossy-forward (LF) techniques. With DF-JD, only if the relay's received information sequence can be decoded with an arbitrarily low error probability, it is forwarded to the destination. On the contrary, with LF, the relay node always forwards...
Despite the fact that study of statistical machine translation has been growing rapidly to date, there has not been much research done about Indonesian-Japanese statistical machine translation. The previous research about Indonesian-Japanese statistical machine translation has shown several problems in translation process, such as low coverage corpus data, unknown words, and sentence reordering problem...
In this work we present and evaluate new architectures for the arithmetic encoding and decoding of multilevel images. Arithmetic coding is of great interest due to the excellent results that it gives. On the other hand, the complexity of its implementation has always gone against it and its different applications usually suffer from a high computational cost, slowness or both. By introducing a new...
Graph-based data occurs in various applications, e.g. finite-element simulations and computer-generated imagery. There are several techniques to compress these data sets with prediction methods and encoding of the residual. The focus of these methods is almost always on the prediction rather than on encoding. We present a new encoding scheme based on induced Markov chains (iMc) reflecting the underlying...
Since data are originated and processed by multiple agents in wireless sensor networks, data provenance plays an important role for assuring data trustworthiness. However, the size of the provenance tends to increase at a higher rate as it is transmitted from the source to the base station and is processed by many intermediate nodes. Due to bandwidth and energy limitations of wireless sensor networks,...
Embedded zero tree wavelet coding (EZW) is an effective image coding algorithm, Study on the output stream of P, N, T, Z symbol, they are appeared with inequality probability. In order to reduce the desired number of digits used in coding, this paper proposes an EZW and Huffman joint encoding algorithm. The experimental results shows, compared with the independent EZW algorithm, the joint encoding...
In this work, Accumulated Continuous Classification (ACC) method was proposed to facilitate single-trial decoding in Motor Imagery based Brain-computer Interface. Exploring the temporal information, the time interval of the single-trial was divided into several sub-segments, then the classified results were combined. Theoretical model was proposed, and the proposed method was evaluated in BCI competition...
Viterbi algorithm is a dynamic programming algorithm used to find out the most likely word uttered by the unknown speech signal. In Viterbi algorithm, the observation probabilities are calculated using Gaussian distribution function. For implementation of Viterbi decoder, these probability values are initially stored in RAM. Thus conventional Viterbi decoder requires large RAM for its execution. In...
In this paper, we propose a simplified belief propagation(SBP) decoder for the polar codes, where the update calculation for the messages of the so-called frozen nodes is replaced by setting these nodes' messages by prior probabilities during the BP procedure. Numerical results show that the derived SBP yields almost the same performance as the BP decoders in the literature, while the computational...
Insertion/Deletion/Substitution (IDS) error correction will become important for future high-density storage devices, e.g., bit-patterned media. For IDS error correction, concatenated codings of an outer LDPC code and an inner marker code have been proposed. To improve the synchronization capability, marker decoder can employ symbol-level synchronization (SLS) with a large symbol size, while the computational...
Using a multi-tier Poisson model, this paper studies the performance gain of successive interference cancellation (SIC) in the downlink of K-tier heterogeneous cellular networks (HCNs). For each tier, a fraction of base stations (BSs) is non-accessible. By using a framework based on the marked path loss process with fading and calculating the equivalent access probability, we analytically characterize...
LSTM-RNN has been succeeded in applying in offline handwritten recognition. The paper used two-dimensional LSTM-RNN to recognize text-based CAPTCHA. Aiming at the problem that traditional decoding algorithm cannot obtain satisfactory results. The paper proposed a novel decoding algorithm based on the multi-population genetic algorithm. The experimental results showed that the novel decoding algorithm...
As a generalization of the binary coding-spreading scheme, nonbinary coding-spreading scheme is proposed for a synchronous binary-input multiple-access channel (MAC) with Gaussian noise, equal-power, and equal-rate users. In this scheme, each user employs the same nonbinary low-density parity-check code serially concatenated with a nonbinary low-rate mapping, referred to as nonbinary spreading. A...
The Gilbert-Elliott (GE) channel is widely used for modelling the performance of coding and transmission schemes in the context of burst erasure channel conditions. In 1963, Elliott described a mathematical method for calculating the error margins of a GE channel. Though Elliott's method is used in numerous publications, it has some limitations. One is that it is only suitable for calculating the...
In this paper modified Conditionally Double Error Correcting Weighted Sum Codes and the probability of their decoding failure in case that two errors in a codeword occur are presented.
This paper proposes a novel decoding algorithm by integrating both steady speech segments and observations' location information into conventional path extension framework. First, speech segments which possess stable spectrum are extracted. Second, a preliminarily improved algorithm is given by modifying traditional inter-HMM extension framework using the detected steady segments. Then, at probability...
Significant research work has been done in recent years for dynamic HW/SW partitioning and the researches are focused on the aspects of partitioning algorithm and implementation. As for the aspects of task scheduling prediction, no in-depth study has been done and no efficient prediction algorithm has been proposed. In the paper, the importance of task scheduling prediction is analyzed and the mathematical...
Physical Downlink Control Channel (PDCCH) is used to signal dynamic resource assignment information in Long Term Evolution (LTE) system. In the presence of numerous active UEs, their control channel resource location based on PDCCH blind decoding mechanism is determined by the Radio Network Temporary Identifier (RNTI) which is allocated to UEs by eNodeB when they first access to the cell. Choosing...
In Statistical Machine Translation from English to Malayalam, an unseen English sentence is translated into its equivalent Malayalam sentence using statistical models. A parallel corpus of English-Malayalam is used in the training phase. Word to word alignments has to be set among the sentence pairs of the source and target language before subjecting them for training. This paper deals with certain...
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