State of charge estimation for lithium-ion batteries connected in series using two sigma point Kalman filters

This paper proposes a method to estimate state of charge (SoC) for Lithium-ion battery pack (LIB) with series-connected cells. The cell’s model is represented by a second-order equivalent circuit model taking into account the measurement disturbances and the current sensor bias. By using two sigma point Kalman filters (SPKF), the SoC of cells in the pack is calculated by the sum of the pack’s average SoC estimated by the first SPKF and SoC differences estimated by the second SPKF. The advantage of this method is the SoC estimation algorithm performed only two times instead of times in each sampling time interval, so the computational burden is reduced. The test of the proposed SoC estimation algorithm for 7 samsung ICR18650 Lithium-ion battery cells connected in series is implemented in the continuous charge and discharge scenario in one hour time. The estimated SoCs of the cells in the pack are quite accurate, the 3-sigma criterion of estimated SoC error distributions is 0.5%

The Relationship between Political Institutional Factors and Internal Audit Effectiveness in Vietnamese Enterprises

Using qualitative research methods, we have clarified the content of internal audits and the effectiveness of internal audits. A literature review has shown that the Political Institutions factor has not received much research attention in Vietnam. That's why we identified the gap and conducted this research. Data collected from interviews with 20 experts working in the field of accounting and auditing were analyzed using King's (2004) format and Cresswell's (2003) analysis process. The analysis results have shown that the Political Institutions factor, and its measurement factors are regulatory capacity, political stability, legal effectiveness, police accountability, and corruption control impact on internal audit effectiveness. Next, the study conducted a survey with 80 employees working in the field of accounting and auditing. This is a research step to ensure transparency in determining influencing factors. The results of this survey are consistent with the direct interview method. This means that the effectiveness of internal audits is affected by political and institutional factors

BARTPhoBEiT: Pre-trained Sequence-to-Sequence and Image Transformers Models for Vietnamese Visual Question Answering

Visual Question Answering (VQA) is an intricate and demanding task that integrates natural language processing (NLP) and computer vision (CV), capturing the interest of researchers. The English language, renowned for its wealth of resources, has witnessed notable advancements in both datasets and models designed for VQA. However, there is a lack of models that target specific countries such as Vietnam. To address this limitation, we introduce a transformer-based Vietnamese model named BARTPhoBEiT. This model includes pre-trained Sequence-to-Sequence and bidirectional encoder representation from Image Transformers in Vietnamese and evaluates Vietnamese VQA datasets. Experimental results demonstrate that our proposed model outperforms the strong baseline and improves the state-of-the-art in six metrics: Accuracy, Precision, Recall, F1-score, WUPS 0.0, and WUPS 0.9

The impact of oil prices, real effective exchange rate and inflation on economic activity: Novel evidence for Vietnam

The goal of this paper is to examine the impact of oil prices on Vietnam's economic activity using vector autoregressive (VAR) modeling and cointegration techniques. We use monthly data for the period 1995-2009 and include inflation and the real effective exchange rate as additional determinants of economic activity. We find evidence of a long-run relationship between oil prices, inflation, exchange rate, and economic activity. The results suggest that both oil prices and the real effective exchange rates have strongly significant impact on economic activity. An increase in oil price or depreciation may enhance economic activity. Vietnamese economic activity is influenced more by changes of value of Vietnamese currency than the fluctuations of oil prices. Inflation has a positive impact on economic activity however its impact is not highly significant. This suggests that moderate inflation is helpful rather than harmful to economic activity.Oil price, Economic activity, Vietnam

ViCLEVR: A Visual Reasoning Dataset and Hybrid Multimodal Fusion Model for Visual Question Answering in Vietnamese

In recent years, Visual Question Answering (VQA) has gained significant attention for its diverse applications, including intelligent car assistance, aiding visually impaired individuals, and document image information retrieval using natural language queries. VQA requires effective integration of information from questions and images to generate accurate answers. Neural models for VQA have made remarkable progress on large-scale datasets, with a primary focus on resource-rich languages like English. To address this, we introduce the ViCLEVR dataset, a pioneering collection for evaluating various visual reasoning capabilities in Vietnamese while mitigating biases. The dataset comprises over 26,000 images and 30,000 question-answer pairs (QAs), each question annotated to specify the type of reasoning involved. Leveraging this dataset, we conduct a comprehensive analysis of contemporary visual reasoning systems, offering valuable insights into their strengths and limitations. Furthermore, we present PhoVIT, a comprehensive multimodal fusion that identifies objects in images based on questions. The architecture effectively employs transformers to enable simultaneous reasoning over textual and visual data, merging both modalities at an early model stage. The experimental findings demonstrate that our proposed model achieves state-of-the-art performance across four evaluation metrics. The accompanying code and dataset have been made publicly accessible at \url{https://github.com/kvt0012/ViCLEVR}. This provision seeks to stimulate advancements within the research community, fostering the development of more multimodal fusion algorithms, specifically tailored to address the nuances of low-resource languages, exemplified by Vietnamese.Comment: A pre-print version and submitted to journa

NGHIÊN CỨU CÁC LOẠI THUỐC SINH HỌC VÀ HÓA HỌC TRỪ BỌ PHẤN TRẮNG (Bemisia tabaci Gennadius, 1889) TRÊN CÂY SẮN TẠI THỪA THIÊN HUẾ

Cassava mosaic disease (Sri Lankan Cassava Mosaic Virus) is one of the most dangerous diseases in the world. The whitefly (Besimia tabasi) has been identified as an important vector in the spread and cause of the cassava mosaic disease. To reduce the transmission of cassava mosaic disease in the field, it is necessary to effectively manage the whitely vector, but there is no research on pesticides conducted in Thua Thien Hue. The study on the use of bioproducts and chemical insecticides to control whiteflies in the greenhouse and in the field showed that the Ascend 20SP (Acetamiprid 97%) expressed the highest effectiveness in controlling whiteflies (81.3%). Bioproduct HD2021 was a fair (70.8%) and long-lasting effectiveness (14 days) on controlling whiteflies. For economic efficiency, Novou 3.6 EC (Abamectin 36g/l) controlled whiteflies with the highest profit (8.84 million/ha). The biological product HD2021 has higher profits than the commercial product Hapmisu 20 EC. This study can be widely applied in the field in the coming years.Bệnh khảm lá sắn (Sri Lankan Cassava Mosaic Virus), một trong những bệnh hại nguy hiểm. Bọ phấn trắng (Besimia tabasi) đã được xác định có vai trò quan trọng trong lây lan và hình thành dịch bệnh khảm lá sắn. Để hạn chế sự lây lan bệnh khảm sắn từ cây bệnh sang cây khỏe trên đồng ruộng, cần quản lý tốt bọ phấn trắng môi giới truyền bệnh hiệu quả tuy nhiên chưa có nghiên cứu nào được thực hiện ở Thừa Thiên Huế về sử dụng thuốc sâu sinh học, hóa học để trừ bọ phấn trắng hại trên cây sắn. Tiến hành nghiên cứu các thuốc hóa học và thảo mộc để trừ bọ phấn trắng trong điều kiện nhà lưới và trên đồng ruộng cho thấy thuốc trừ sâu hóa học Ascend 20SP (Acetamiprid 97%) có hiệu lực trừ bọ phấn trắng cao nhất (81,3%) chế phẩm sinh học HD2021 có hiệu lực khá (70,8%) và kéo dài 14 ngày đối với bọ phấn trắng. Về hiệu quả kinh tế, sử dụng thuốc Novou 3.6 EC (Abamectin 36 g/l) để quản lý bọ phấn trắng cho lợi nhuận cao nhất (8,84 triệu/ha), chế phẩm HD2021 cho lợi nhuận cao hơn sản phẩm đã thương mại Hapmisu 20 EC. Nghiên cứu này có thể áp dụng rộng rãi trên đồng ruộng trong những năm tới

Efficient Finetuning Large Language Models For Vietnamese Chatbot

Large language models (LLMs), such as GPT-4, PaLM, and LLaMa, have been shown to achieve remarkable performance across a variety of natural language tasks. Recent advancements in instruction tuning bring LLMs with ability in following user's instructions and producing human-like responses. However, the high costs associated with training and implementing LLMs pose challenges to academic research. Furthermore, the availability of pretrained LLMs and instruction-tune datasets for Vietnamese language is limited. To tackle these concerns, we leverage large-scale instruction-following datasets from open-source projects, namely Alpaca, GPT4All, and Chat-Doctor, which cover general domain and specific medical domain. To the best of our knowledge, these are the first instructional dataset for Vietnamese. Subsequently, we utilize parameter-efficient tuning through Low-Rank Adaptation (LoRA) on two open LLMs: Bloomz (Multilingual) and GPTJ-6B (Vietnamese), resulting four models: Bloomz-Chat, Bloomz-Doctor, GPTJ-Chat, GPTJ-Doctor.Finally, we assess the effectiveness of our methodology on a per-sample basis, taking into consideration the helpfulness, relevance, accuracy, level of detail in their responses. This evaluation process entails the utilization of GPT-4 as an automated scoring mechanism. Despite utilizing a low-cost setup, our method demonstrates about 20-30\% improvement over the original models in our evaluation tasks.Comment: arXiv admin note: text overlap with arXiv:2304.08177, arXiv:2303.16199 by other author