http://hdl.handle.net/20.500.14044/33870 Tue, 21 Jul 2026 07:00:08 GMT 2026-07-21T07:00:08Z http://hdl.handle.net/20.500.14044/32902 Detecting Text Similarity Based on Discrete Wavelet Transformation Vo, Trung Hung; Felde, Imre; Ho, Phan Hieu; Nguye, Ngoc Anh Thi Detecting similarities between texts is an important stage of many different applications such as text classification, plagiarism detection, fake news identification,... In this paper, we propose a new approach to detect similarities between texts based on the Discrete Wavelet Transform (DWT) method. Specifically, the available source documents are converted into a set of real numbers called DNAs (Deoxyribose Nucleic Acid) through DWT. To check the similarity of any text, we also use DWT to generate DNAs for that text and calculate the smallest Euclidean distance from these DNAs to the source DNAs. Finally, by comparing with a threshold, the distance values will indicate whether the evaluation text is similar to a certain source text or not. Experimental results demonstrate that our proposed algorithm is highly effective in detecting text similarity by testing on a standard data set at the Annual International Conference on Plagiarism Detection (Plagiarism Analysis, Authorship Identification, and Near-Duplicate detection – PAN). Mon, 01 Jan 2024 00:00:00 GMT http://hdl.handle.net/20.500.14044/32902 2024-01-01T00:00:00Z http://hdl.handle.net/20.500.14044/32899 Detecting critical supervision intervals during in silico chemotherapy treatments Dömény, Martin Ferenc; Puskás, Melánia; Kovács, Levente; Mac, Thi Thoa; Drexler, Dániel András Nowadays, in many countries, the number of newly registered cancer patients keeps growing despite the recent advancements in the medical field. For this reason, every advancement that could potentially get humanity one step closer to fighting this disease is valuable. The future goal of our research is to create a device capable of measuring the tumor parameters of the patients and applying doses continuously. However, with the current technology, it is not possible since the measurement of the tumor states is not automatized. This study presents an intermediate step towards that goal by creating methods that can identify critical time intervals on which the treatments of patients should be supervised by investigating the tumor state in a hospital. To generate an optimal therapy, we used a genetic algorithm capable of generating a therapy for a group of patients with similar parameters. We used a mathematical model that contains the unique patient parameters to simulate the reaction of the tumor to the injected doses. According to the results, we can reduce the time spent in the hospital to almost a third of the original treatment time, based on in silico tumor simulations. Mon, 01 Jan 2024 00:00:00 GMT http://hdl.handle.net/20.500.14044/32899 2024-01-01T00:00:00Z http://hdl.handle.net/20.500.14044/32895 Towards a Pharmaceutical Cyber-Physical Systems Based Automated Drug Discovery Workcell Chng, Chin-Boon; Koenig, Konstantin; Wong, Pooi-Mun; Wang, Mu; Chui, Chee-Kong The global pharmaceutical industry, despite its growth, faces challenges in drug development, characterized by extensive timeframes and high costs. A significant bottleneck in this process is the labor-intensive and inefficient experimental synthesis in medicinal chemistry. The transition to automated methods offers a solution to these challenges, promising enhanced efficiency, scalability, and safety, while significantly reducing time and costs. This paper presents the development of an automated rotating bed reactor as part of an intelligent Cyber-Physical System-based automated drug discovery workcell. The automated rotating bed reactor is designed to be easily integrated as a component in the workcell, aiming to enable rapid adaptation to meet the specific needs of on-demand drug production. Experiments with the system shows that it has the potential to enhance the yield of the chemical reactions. Mon, 01 Jan 2024 00:00:00 GMT http://hdl.handle.net/20.500.14044/32895 2024-01-01T00:00:00Z http://hdl.handle.net/20.500.14044/32584 Investigation of the Optical Properties in the Infrared Region of PbS Thin Films Le, Bao Quy; Quang, Dat Tran; Dinh, Vi Le; Van, Phuc Duong; Van, Huan Vuong; Dinh, Hoat Phung; Van, Tuan Nguyen; Van, Thin Pham; Thi Kim, Cuc Nguyen Thin film’s optical performance is governed by factors. These include optical and luminescent properties, and material structure. However, there are currently few domestic studies investigating these properties, especially the optical properties of thin films in the infrared region. PbS is a promising material for infrared sensing applications due to its high bandgap energy, which corresponds to the infrared spectrum. The goal of this research is to explore the optical properties of PbS thin films and understand their potential applications in infrared sensors and imaging cameras. Investigate the properties of this film through simulation and compare them with experimental results. The results demonstrate the adjustable optical properties of PbS thin films in the infrared region, highlighting the effective absorption and emission of infrared light. The absorption spectrum indicates that PbS is a suitable candidate for infrared camera sensors. The structure in the study consists of three layers: Au / PbS / MZO. The photoelectric performance of PbS film, as already investigated, achieves high conversion values in the infrared region with parameters of doping film 1017 𝑐𝑐𝑐𝑐 −3, thickness 0.2 μm, and bulk defect density 1016 𝑐𝑐𝑐𝑐 −3, temperature 300 oK. With these optimal values, when imitating, a PCE photovoltaic conversion value of up to 24% is obtained. These findings minimize the possibility of errors during the experiments and show the potential for using PbS as a promising material for various infrared applications, including infrared sensors and solar cells. Further research may focus on optimizing manufacturing processes and exploring the performance of PbS-based infrared sensors. All reported studies were conducted using the SCAPS-1D simulation platform. Mon, 01 Jan 2024 00:00:00 GMT http://hdl.handle.net/20.500.14044/32584 2024-01-01T00:00:00Z