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Development of an AI Chatbot to Support Admissions and Career Guidance for Universities
Le Hoanh Su,Truong Dang-Huy,Tran Thi-Yen-Linh,Nguyen Thi-Duyen-Ngoc,Ly Bao-Tuyen,Nguyen Ha-Phuong-Truc ASCONS 2020 INTERNATIONAL JOURNAL OF EMERGING MULTIDISCIPLINAR Vol.4 No.2
The vocational guidance and advising education enrollment are one of the most important tasks in the enrollment process and promote the quality and reputation of the University. Admissions counseling offices at Universities and Colleges play a major role in vocational guidance and advising education enrollment. However, the support of these units is limited by office hours, speed and advisory efficiency, and besides, handling and answering questions process may also encounter obstacles such as: overload, misinformation, problem with the transmission, language barriers, expressions, limited time, support resources,… Thus we decided to do research to understand this situation. Then creating a dataset supports vocational guidance and advising education enrollment activities. We also design and integrate chatbot into the school system to support the admissions counseling process.
Thi My Ni PHAM,Thi Ngoc Thao PHAM,Ha Phuong Truc NGUYEN,Bao Tuyen LY,Truc Linh NGUYEN,Hoanh Su LE 한국유통과학회 2022 The Journal of Asian Finance, Economics and Busine Vol.9 No.5
Banking and finance is a broad term that incorporates a variety of smaller, more specialized subjects such as corporate finance, tax finance, and insurance finance. A virtual assistant that assists users in searching for information about banking and finance terms might be an extremely beneficial tool for users. In this study, we explored the process of searching for information, seeking opportunities, and developing a virtual assistant in the first stages of starting learning and understanding Vietnamese to increase effectiveness and save time, which is also an innovative business practice in Use-case Vietnam. We built the FIBA2020 dataset and proposed a pipeline that used Natural Language Processing (NLP) inclusive of Natural Language Understanding (NLU) algorithms to build chatbot applications. The open-source framework RASA is used to implement the system in our study. We aim to improve our model performance by replacing parts of RASA’s default tokenizers with Vietnamese tokenizers and experimenting with various language models. The best accuracy we achieved is 86.48% and 70.04% in the ideal condition and worst condition, respectively. Finally, we put our findings into practice by creating an Android virtual assistant application using the model trained using Whitespace tokenizer and the pre-trained language m-BERT.
Hong Thi Bich Truong,Hiep Nghia Bui,Hieu Trung Nguyen,Thanh-Luu Pham,Duy Ngoc Nguyen,Yuan-Shing Perng,Linh Thi My Lam,Thi-Dieu-Hien Vo,Van-Truc Nguyen,Ha Manh Bui 한국화학공학회 2022 Korean Journal of Chemical Engineering Vol.39 No.4
Electron-beam (EB) irradiation was employed to degrade enrofloxacin (ENR) in an aqueous solution. Thealgal growth inhibition test revealed that ENR exhibited low toxicity against the cyanobacterium Arthrospira sp., with anEC50-96 h value of 5.17mg/L. The Taguchi design also involved finding the best optimum for ENR treatment using EB. Results revealed that the high-efficiency removal of ENR in an aqueous solution was approximately 98.53% under theoptimum conditions of an absorbed dose of 5 kGy, a pH of 5.0, and an initial ENR concentration of 10 mg/L and anH2O2 concentration of 2mM. The ERR degradation under a couple of EB irradiation and H2O2 followed pseudo-firstorderkinetics, with an R2 of ~0.970. The major degradation pathways of ENR were suggested by density functional theory,natural bond orbital calculations, and liquid chromatography-tandem mass spectrometry (LC/MS/MS) analysis. Lifecycle assessment (LCA) was also performed to evaluate the impact of the EB on removing ENR; the industrial processwas designed based on laboratory tests aimed with the ReCiPe tool. The obtained results indicated that energy consumptionand H2O2 affect environmental impacts with order human health, ecology systems, and natural resource. The LCAalso proved that EB could be a green and efficient method for eliminating pharmaceutical contaminants in water.