All collections of P.M.E. http://103.99.128.19:8080/xmlui/handle/123456789/63 2026-09-13T04:02:06Z 2026-09-13T04:02:06Z DAS, NIPU KUMAR http://103.99.128.19:8080/xmlui/handle/123456789/536 2026-09-06T03:50:09Z 2025-10-09T00:00:00Z

Title: Term Paper Authors: DAS, NIPU KUMAR Abstract: Bangladesh is our small country. Description: He is an honest man in our campus.

2025-10-09T00:00:00Z BUET, Dept. of Petrolatum Engineering http://103.99.128.19:8080/xmlui/handle/123456789/171 2019-09-12T06:36:54Z 2016-12-31T00:00:00Z

Title: International Conference on Petroleum Engineering 2016 (ICPE-2016) Authors: BUET, Dept. of Petrolatum Engineering

2016-12-31T00:00:00Z Md. Saiful Islam1, Md. Shajid-Ul-Mahmud2 http://103.99.128.19:8080/xmlui/handle/123456789/139 2018-10-03T15:28:07Z 2017-12-21T00:00:00Z

Title: Voice Command Based Matlab GUI for Microcontroller Authors: Md. Saiful Islam1, Md. Shajid-Ul-Mahmud2 Abstract: Voice command based applications use speech to make people’s life more easy and flexible. It is one of the most interesting topics in recent research spheres and still there are lots of scope for improvement. The paper represents the method of controlling electrical components by Matlab graphical user interface (GUI) using voice command. The idea of developing voice controlled application can be established through speech identification and speech verification. Speech identification is performed by feature extracting of speech signal utilizing Mel Frequency Cepstrum Coefficient (MFCC) technique in Matlab. Then vector quantization (VQ) method has been proposed for verification. The recognized speech will be compared with prerecorded database and according to those results the desired commands are sent from application to microcontroller to control the devices.

2017-12-21T00:00:00Z Syed Salman Kabir*, Mamshad Nayeem Rizve, Md. Kamrul Hasan http://103.99.128.19:8080/xmlui/handle/123456789/138 2018-10-03T15:27:42Z 2017-12-21T00:00:00Z

Title: ECG signal Compression using Data Extraction and Truncated Singular Value Decomposition Authors: Syed Salman Kabir*, Mamshad Nayeem Rizve, Md. Kamrul Hasan Abstract: In this paper a novel algorithm is used for compressing ECG data. The algorithm uses two techniques simultaneously to get a better compression of ECG data. Firstly Data extraction: a sampling technique based on a user defined threshold value is applied on ECG followed by Truncated Singular Value Decomposition. Changing the number of Singular Values higher compression can be achieved. The proposed method provides two variables: Threshold & Number of Singular Value, which can be changed to achieve optimum compression while keeping the error low. Compression performance & quality of reconstructed ECG in the proposed method is evaluated using Compression Ratio (CR) & Percent Root Mean Square Difference (PRD).

2017-12-21T00:00:00Z