Music Retrieval System Using Query-by-Humming

Music Information Retrieval (MIR) is a particular research area of great interest because there are various strategies to retrieve music. To retrieve music, it is important to find a similarity between the input query and the matching music. Several solutions have been proposed that are currently being used in the application domain(s) such as Query- by-Example (QBE) which takes a sample of an audio recording playing in the background and retrieves the result. However, there is no efficient approach to solve this problem in a Query-by-Humming (QBH) application. In a Query-by-Humming application, the aim is to retrieve music that is most similar to the hummed query in an efficient manner. In this paper, I shall discuss the different music information retrieval techniques and their system architectures. Moreover, I will discuss the Query-by-Humming approach and its various techniques that allow for a novel method for music retrieval. Lastly, we conclude that the proposed system was effective combined with the MIDI dataset and custom hummed queries that were recorded from a sample of people. Although, the MRR was measured at 0.82 – 0.90 for only 100 songs in the database, the retrieval time was very high. Therefore, improving the retrieval time and Deep Learning approaches are suggested for future work

Assessing Stress Tolerance of Organelle Small Heat Shock Protein Mutants in Arabidopsis Thaliana

Molecular chaperones are proteins found in virtually every organism and are essential to cell survival. When plants are heat stressed, they upregulate and downregulate multiple genes, many of which are associated with the heat shock response. Small heat shock proteins (sHSPs) are one class of molecular chaperones that are upregulated during heat shock. They are proposed to act as the first line of defense by binding to heat sensitive proteins and preventing their irreversible aggregation. However, many details of sHSP function remain to be discovered and exactly what proteins they protect is unresolved. In addition to cytosolic sHSPs found in other organisms, plants also produce sHSPs that are targeted to organelles. In this study, I focus on the mitochondria and chloroplast localizing sHSPs: HSP23.5-MTI/CP, HSP23.6-MTI/CP, HSP25.3-CP, and HSP26.5-MTII in Arabidopsis thaliana. The heat tolerance of knockout mutants of these different organelle-localized sHSPs, including single, double, triple, and quadruple knockouts was assessed through various stress assays. A hypocotyl elongation assay indicated a mild heat sensitive phenotype for many of the sHSP knockout mutants and plants lacking all four sHSPs showed the greatest reduction in hypocotyl elongation following heat stress. In an vi assay with light grown seedlings, I observed plants that lacked the chloroplast-localizing HSP25.3-CP were sensitive to acute heat stress. In stress assays involving arsenic, plants that did not express mitochondrial sHSPs were the most sensitive to excess arsenic. Interestingly, plants lacking the four sHSPs were more resistant to salt and cadmium stress. The phenotypes of these sHSPs will bring us closer to defining their mechanism of action during heat or heavy metal stress and the mutants will provide a platform for further studies of sHSP structure and function

Quantum search at low temperature in the single avoided crossing model

We begin with an n-qubit quantum search algorithm and formulate it in terms of quantum walk and adiabatic quantum computation. We then represent and transform the n-qubit search algorithm into a two-level system and hence the single avoided crossing model. We perform and present the analytical calculations and numerical simulations of the dynamics of quantum walk search algorithm and AQC search algorithm in a thermal bath. We use the master equations formulation to represent the open quantum system. We nd out that while generally the performance of algorithms worsen with increase in temperature and the system size, there are interesting features in quantum walk search where there is an optimal low temperature for the best performance for other specied parameters. Similarly for AQC search, the performance generally worsens with increase in temperature, but for specied parameter ranges, the system is more robust against temperature eects

Productive Cluster Hire

Discovering a group of experts to complete a set of tasks that require various skills is known as Cluster Hire Problem. Each expert has a set of skills which he/she can offer and charges a monetary cost to offer their expertise. We are given a set of projects that need to be completed and on completion of each project, the organization gets a Profit. For performing a subset of given projects, we are given a predetermined budget. This budget is spent on hiring experts. We extend this problem by introducing the productivity and capacity of experts. We want to hire experts that are more productive, and this factor is determined on the basis of their past experience. We also want to make sure that no expert is overworked as it is not possible for a single expert to provide his/her expertise for unlimited times. Our goal is to hire as many experts as possible in which the sum of their hiring costs (i.e., salary) is under the given budget as we are interested to maximize the profit and also maximize the productivity of the group of experts, our problem is a bi-objective optimization problem. To achieve this, we propose two different approaches that maximize our Profit and Productivity

NeuraLunaDTNet: Feedforward Neural Network-Based Routing Protocol for Delay-Tolerant Lunar Communication Networks

Space Communication poses challenges such as severe delays, hard-to-predict routes and communication disruptions. The Delay Tolerant Network architecture, having been specifically designed keeping such scenarios in mind, is suitable to address some challenges. The traditional DTN routing protocols fall short of delivering optimal performance, due to the inherent complexities of space communication. Researchers have aimed at using recent advancements in AI to mitigate some routing challenges [9]. We propose utilising a feedforward neural network to develop a novel protocol NeuraLunaDTNet, which enhances the efficiency of the PRoPHET routing protocol for lunar communication, by learning contact plans in dynamically changing spatio-temporal graph

Simulation, modelling and packet sniffing facilities for IoT: A systematic analysis

Man and Machine in terms of heterogeneous devices and sensors collaborate giving birth to the Internet of Things, Internet of future. Within a short span of time 30billions intelligent devices in form of smart applications will get connected making it difficult to test and debug in terms of time and cost.Simulators play vital role in verifying application and providing security before actually deploying it in real environment.Due to constraint environment in terms of memory, computation, and energy this review paper under a single umbrella will throw insight on comprehensive and in-depth analysis keeping in mind various barriers, critical design characteristics along with the comparison of candidate simulator and packet sniffing tool. Post simulated analysis play vital role in deciding behavior of data and helping research community to satisfy quality of service parameters.This review makes it feasible to make an appropriate choice for simulators and network analyzer tool easy fulfilling needs and making IoT a realit

A rare case of serologically diagnosed overlap syndrome presents as an idiopathic inflammatory myositis without any overlapping features

Overlap syndrome is a rare inflammatory rheumatic condition that shares features suggestive of at least two distinct autoimmune diseases with a reported prevalence of less than 34/100,000 persons and an incidence of less than 20/million/year. One example of an overlap syndrome is the presence of dermatomyositis or polymyositis with other autoimmune afflictions such as systemic lupus erythematosus (SLE), rheumatoid arthritis (RA), or Sjogren’s syndrome. We present a case report of a 22-year-old male presented with progressive weakness in both upper and lower limbs without any other significant complaints. On investigation, serology revealed antibodies suggestive of overlap syndrome, which on further investigations, categorized as idiopathic inflammatory myositis (IIM). This shows that overlap syndrome, as an IIM, is one of the differential diagnoses in patients presenting with progressive extremity weakness involving both extremities even if there is no involvement of any sensory function

Alternative Method for Posterior Lumbar Discectomy and Development of Associated Bench Top Test

A discectomy is a common surgical procedure performed to remove the fibrous disc material between adjacent vertebrae in the spine, known as vertebral disc. Current methods and tools used in discectomies are time consuming and potentially dangerous, with opportunity for human error. There is a need for a new method of disc removal that can improve clinical results by reducing surgical times, preventing damage to surrounding anatomy, and more thoroughly removing the vertebral disc. A reduction in surgery times and increase of effective disc removal will help to increase success, recovery, and spinal fusion rates. This project aims to provide a prototype instrument and associated bench top test focused on providing a more streamlined and successful discectomy procedure from the posterior approach while mitigating the risks associated with human error. Collaboration with industry experts resulted in the modification of commonly-used pituitary rongeurs to include in-line aspiration through surgical tubing. This development improves upon the current surgical technique by eliminating the need to remove the instrument from the patient, thus reducing time requirements and preventing the need for additional training. Current discectomy methods require up to three hours for a full disc removal under optimal conditions. This method aims to reduce that requirement by approximately half. In addition, research into synthetic disc material, coupled with available 3D printing technology, has yielded a bench top test that can be used in regulatory validation and proof of concept. This test aims to recreate disc anatomy without requiring access to expensive and single-use cadavers.https://scholarscompass.vcu.edu/capstone/1195/thumbnail.jp