REGULATION OF BLOOD GLUCOSE IN TYPE I DIABETIC PATIENTS

Ph.DDOCTOR OF PHILOSOPH

Identification of systems from multirate data

Master'sMASTER OF ENGINEERIN

Acoustic Based Induction Motor Fault Detection System Using Adaptive Filtering Algorithm and Fusion Based Feature Extraction Method

The proposed machine fault diagnostic system utilizes acoustic signal processing and machine learning for early fault detection and localization in induction motors. The growth of the fault in an induction motor tends to be quick and can result in a significant failure that can lead to economic loss and huge maintenance expenses. Therefore, developing accurate and sensitive induction motor fault diagnostic procedures for the maintenance system is crucial. The main purpose of this paper was to propose an optimized noise reduction technique for an induction motor fault diagnosis system and two novel acoustic feature vectors that can be used in machine learning algorithms. The contribution of this paper is to implement the effectiveness of the fusion features of acoustic signals by concatenating them from different domains. The acoustic dataset for an induction motor is collected in a motor workshop, and the NLMS algorithm is used for background noise cancellation due to its quick adaptation, stability, and efficient error minimization. Data are segmented and normalized during pre-processing, and the induction motor fault diagnosis system is implemented using MATLAB. Zero Crossing Rate (ZCR), Spectral Entropy (SE), and Energy Entropy (EE) feature vectors are combined, and the F1 feature vector is built. Correlation calculations are employed to assess the motor's condition status, and if a fault is detected, the system proceeds with feature extraction for fault localization. In the feature extraction stage for induction motor (IM) fault localization, Gammatone Cepstral Coefficients (GTCC) and Mel Frequency Cepstral Coefficient (MFCC) features are combined to construct the second feature vector (F2). This feature vector is used as training feature data in machine learning algorithms. If the input test signal is strongly correlated with the faulty signals, the type of faults is classified using a Support Vector Machine (SVM) classifier. According to the experimental results, the proposed system achieved an average accuracy of 99% in fault detection, 97.5% in fault localization, and an error rate of 2.5%

Semantic Based Information Retrieval System Using Modified Inverse Document Frequency

Today, Information Retrieval (IR) provides users with documents that will satisfy their information need. Word sense ambiguity is a cause of poor performance in IR system. IR performance will be increased if ambiguous words can be correctly disambiguated. Word Sense disambiguation (WSD) is the task to assign the correct meaning to such ambiguous words based on the surrounding context. Various senses provided by WSD process have been used as semantics for indexing the documents to aid the information retrieval system. K-Nearest Neighbour (KNN) is used for effective text classification in WSD process and the Vector Space Model (VSM) is used for IR process. The cosine similarity method is used in both KNN and VSM to calculate the similarity in which term frequency and inverse document frequency (TF-IDF) scheme is used to calculate the weight of each word. There is a challenge that the original TF-IDF scheme eliminates the related senses although there is a related sense. This paper thus proposes the modified TF-IDF method, so called TF-MIDF, to solve the no-relevant problem by modifying the IDF equation to improve the accuracy of IR performance. By comparing the performance between the original IDF scheme and the MIDF scheme, the average precision results of the original TF-IDF method is 71% and the average precision results of the TF-MIDF is 80%. Therefore, the proposed methodology is more precise than the original method while retrieving the relevant documents of the required information

Diversity and Abundance of Copepods in Taninthayi Coastal Waters, Myanmar

Diversity and abundance of copepods occurring in Taninthayi coastal waters were studied and analyzed from the samples collected by R/V DR. FRIDTJOF NANSEN during the Myanmar ecosystem survey 2018. Seventy-nine copepods species belonging to calanoids (51 species), cyclopoids (21 species), and harpacticoids (7 species) were identified in the copepods community of Taninthayi coastal waters. Copepods species number and density were high at the nearshore stations (Sts 799, 842, 788) and low at the offshore stations (Sts 846, 802, 823). The resulted diversity index values of copepods were varied from 2.61 to 3.78 in species diversity index (H'), from 0.89 to 0.97 in the evenness index (E'), and from 2.51 to 7.50 in species richness index (D'). According to the correlation matrix, the abundance of copepods was positively correlated with temperature, chlorophyll a and fluorescence, and negatively correlated with salinity and oxygen

Reproductive Biology of Splendid Ponyfish Leiognathus Splendens (Cuvier, 1829) in Myeik Coastal Waters, Myanmar

Reproductive biology of Leiognathus splendens was studied by using the samples collected from the catches of trawl fisheries in Myeik coastal waters during January to December 2014. Spawning takes place throughout the year, with a peak during April-May and September-December. The observed length at first maturity was 9.0 cm total length in males and 8.4 cm in females. The mean gonadosomatic index was more prominently in females (2.5) than males (1.5). Sex ratio (1 male: 1.1 females) also indicates the general dominant of females over males  Fecundity varied from 6120 to 58412 eggs. Relationship of fecundity to fish length, fish weight and ovary weight showed that fecundity is more related to the gonad weight (r=0.9) than length (r=0.8) and weight of fish (r=0.7

Role of Direct Oral Anticoagulants for Post-operative Venous Thromboembolism Prophylaxis

Venous thromboembolism (VTE) is one of the leading causes of post-operative morbidity and mortality. Over previous decades, heparin and warfarin were the predominant therapeutic options for post-operative thromboprophylaxis. However, their use is limited by drawbacks including a narrow therapeutic range, numerous food and drug interactions, and the need for regular monitoring for dose adjustments. Recently, direct oral anticoagulants (DOACs), such as dabigatran etexilate (a direct thrombin inhibitor) and apixaban, rivaroxaban and edoxaban (direct factor Xa inhibitors), have been developed to overcome these issues. DOACs have shown promising results in Phase III clinical trials for post-operative VTE prophylaxis. This review summarises the pharmacological profile of DOACs and highlights the use of DOACs in post-operative VTE prophylaxis based on the available clinical trial data

An interdisciplinary approach to restore missing maxillary lateral incisor with Orthodontics and Implant Prosthodontics: A Case Report

Abstract The absence of the maxillary lateral incisors create an asthetic problem that can be managed with different treatment modalities. Comprehensive treatment planning is required to achieve a satisfactory result, keeping in mind the aesthetics, function and periodontal stability. An interdisciplinary treatment approach is beneficial and involves orthodontic closure of the space with maxillary canine substitution or space opening for single- tooth implants, bridges and tooth-supported restorations. The present case of a 21-year-old female dental student with agenesis of maxillary left lateral incisor with the presence of maxillary left canine in place of lateral incisor, and midline deviation. Treatment included space creation and placement of 3.3mm implant together with bone augmentation, immediate temporization and finally restored with porcelain crown after healing period of three months

Conduction system pacing: promoting the physiology to prevent heart failure

Cardiac conduction system pacing provides physiological ventricular activation by directly stimulating the conduction system. This review describes the two types of conduction system pacing: His bundle pacing (HBP) and left bundle area pacing (LBAP). The most significant advantage of HB pacing is that it can provide a regular, narrow QRS; however, the disadvantages are challenging implantation and a high risk of re-intervention due to lead dislodgement and the development of high pacing threshold. LBAP provides optimum physiological activation of the left ventricle by engaging the left bundle/fascicular fibers. LBAP is more physiological than traditional RV apical pacing and could be an attractive alternative to conventional cardiac resynchronization therapy (CRT). The advantages of LBAP are a relatively more straightforward implantation technique than HBP, better lead stability and pacing thresholds. HBP and LBAP are more physiological than right ventricular pacing and may be used instead of conventional pacemakers. Both HBP and LBBP are being investigated as alternatives to conventional CRT