VNU Journal of Science: Computer Science and Communication Engineering

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ASR - VLSP 2021: Automatic Speech Recognition with Blank Label Re-weighting
Dang Dinh Son, Duong Quang Tien, Dang Xuan Vuong, Le Dang Linh, Ta Bao Thang
End-to-end models have significant potential in most languages and recently proved the robustness in ASR tasks. Many robust architectures are proposed, and among many techniques, Recurrent Neural Network - Transducer (RNN-T) shows remarkable success. However, with background noise or reverb in spontaneous speech, this architecture generally suffers from high deletion error problems. For this reaso...... hiện toàn bộ
ViMRC - VLSP 2021: Context-Aware Answer Extraction in Vietnamese Question Answering
Le Thi Thu Hang
MRC is challenging the natural language processing fields; machines automatically have to answer questions based on specific passages for this task. In recent years, machine reading comprehension (MRC) has received much attention; many articles have been written about this task. However, most of those articles only develop models in two main languages, English and Chinese. In this article, we prop...... hiện toàn bộ
Coreference Resolution in Vietnamese Electronic Medical Records
Hung D. Nguyen
Electronic medical records (EMR) have emerged as an important source of data for research in medicine andinformation technology, as they contain much of valuable human medical knowledge in healthcare and patienttreatment. This paper tackles the problem of coreference resolution in Vietnamese EMRs. Unlike in English ones,in Vietnamese clinical texts, verbs are often used to describe disease symptom...... hiện toàn bộ
SV - VLSP2021: The Smartcall - ITS’s Systems
Hung Van Dinh, Tuan Van Mai, Bao Quoc Nguyen, Quyen Ba Dam
This paper presents the Smartcall - ITS’s systems submitted to the Vietnamese Language and Speech Processing, Speaker Verification (SV) task. The challenge consists of two tasks focusing on the development of SV models with limited data and testing the robustness of SV systems. In both tasks, we used various pre-trained speaker embedding models with different architectures: TDNN, Resnet34. After a...... hiện toàn bộ
A General Computational Framework for Prediction of Disease-associated Non-coding RNAs
Duc-Hau Le
Since last decade, we have been witnessing the raise of non-coding RNAs (ncRNAs) in biomedical research. Many ncRNAs have been identified and classified into different classes based on their length in number of base pairs (bp). In parallel, our understanding about functions of ncRNAs is gradually increased. However, only small set among tens of thousands of ncRNAs have been well studied about thei...... hiện toàn bộ
A Router-aided P2P Traffic Localization Method with Bandwidth Limitation
Olivier Fourmaux, Takumi Miyoshi, Hiep Van Hoang
Recently, peer-to-peer (P2P) systems generate a large amount of unwanted cross-domain traffic on the Internet due to a lack of knowledge about physical network topology. The unwanted cross-domain traffic is especially costly for the internet service providers (ISPs). To reduce the cross-ISP/AS (autonomous system) traffic, the existing approaches introduce network-aware strategies in which a lot of...... hiện toàn bộ
A Watermark Algorithm against De-Synchronization Attacks
In this paper, a robust method to the ability of the watermark to resist against attacks is proposed for hiding information into images. The proposed method is blind because the original image is not required at the decoder to recover the embedded data. The robustness of the watermarking scheme is inspired by using a PJND (Pyramidal Just Noticeable Difference) model and the message is inse...... hiện toàn bộ
A Bandwidth-Efficient High-Performance RTL-Microarchitecture of 2D-Convolution for Deep Neural Networks
Nguyen Kiem Hung, Tran Quoc Long
The computation complexity and huge memory access bandwidth of the convolutional layers in convolutional neural networks (CNNs) require specialized hardware architectures to accelerate CNN’s computations while keeping hardware costs reasonable for area-constrained embedded applications. This paper presents an RTL (Register Transfer Logic) level microarchitecture of hardware- and bandwidth-efficien...... hiện toàn bộ
A Novel Combination of Negative and Positive Selection in Artificial Immune Systems
Artificial Immune System (AIS) is a multidisciplinary research area that combines the principles of immunologyand computation. Negative Selection Algorithms (NSA) is one of the most popular models of AIS mainly designed for one-class learning problems such as anomaly detection. Positive Selection Algorithms (PSA) is the twin brother of NSA with quite similar performance for AIS. Both NSAs and ...... hiện toàn bộ
Symbolic round-off error between floating-point and fixed-point
Hoang Anh Truong
Overflow and round-off error has been a research problem for decades. With the explosion of mobile and embedded devices, many software programs written for personal computer are now ported to run on embedded systems. The porting often requires changing floating-point numbers and operations to fixed-point ones and here round-off error between the two versions of the program occurs. We propose a nov...... hiện toàn bộ
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