ANALYTiC: Understanding Decision Boundaries and Dimensionality Reduction in Machine Learning

The advent of compact, handheld devices has given us a pool of tracked movement data that could be used to infer trends and patterns that can be made to use. With this flooding of various trajectory data of animals, humans, vehicles, etc., the idea of ANALYTiC originated, using active learning to infer semantic annotations from the trajectories by learning from sets of labeled data. This study explores the application of dimensionality reduction and decision boundaries in combination with the already present active learning, highlighting patterns and clusters in data. We test these features with three different trajectory datasets with objective of exploiting the the already labeled data and enhance their interpretability. Our experimental analysis exemplifies the potential of these combined methodologies in improving the efficiency and accuracy of trajectory labeling. This study serves as a stepping-stone towards the broader integration of machine learning and visual methods in context of movement data analysis.Comment: Bachelor's thesi

Effective Load Balance Scheduling Schemes for Heterogeneous Distributed System

Importance of distributed systems for distributing the workload on the processors is globally accepted. It is an agreed fact that divides and conquers is the effective strategy for load balancing problems. In today’s time, load balancing is the major issue for scheduling algorithm such as in Parallel and Distributed Systems including Grid and Cloud Computing and many more. Load Balancing is the phenomena of spreading or distributing the workload among the processors so that all processors keep busy for all the time, in order to prevent ideal time of processors. In this work, presents a load balancing algorithm for heterogeneous distributed system (HeDS) with aim of minimizing the load imbalance factor (LIF). The proposed algorithm is using optimization techniques such as Max-Max and Min-Max strategy and applied on Folded Crossed Cube (FCC) network. Makespan, speedup and average resource utilization are also evaluated for performance matrices. The experimental results of the proposed algorithms have showed better in comparison to with previous work under various test conditions

The Greeley Variations

Inspired by the works of Charlotte Perkins Gilman, European snake folklore, and wished-for child fairy tales, The Greeley Variations features several generations of women and the Victorian house they live in. The novel explores prospective parenthood, maternal legacy, and repeated patterns (visual, genetic, and psychological) as haunting experiences

Chatbot for Creating and Consuming Podcasts via Short Messaging Service (SMS)

Podcast creation can be a complicated undertaking that involves the use of audio equipment to record and process content. Furthermore, a podcast creator needs to work with a provider to host and distribute podcast content. Moreover, podcast creators must rely on listeners having a podcatcher application to discover and listen to the podcast. This disclosure describes a chatbot that enables users to create and consume podcasts easily from any device, including low capability mobile devices. Users can create or consume podcasts by interacting with the chatbot via Short Messaging Service (SMS) or other text-based chat interface. The techniques enable podcast creation and consumption from devices that lack Internet connectivity

Article a novel algorithm for capacitated vehicle routing problem for smart cities

Smart logistics is an indispensable building block in smart cities development that requires solving the challenge of efficiently serving the demands of geographically distributed customers by a fleet of vehicles. It consists of a very well-known NP-hard complex optimization problem, which is known as the capacitated vehicle routing problem (CVRP). The CVRP has widespread real-life applications such as delivery in smart logistics, the pharmaceutical distribution of vacancies, disaster relief efforts, and others. In this work, a novel giant tour best cost crossover (GTBCX) operator is proposed which works stochastically to search for the optimal solutions of the CVRP. An NSGA-II-based routing algorithm employing GTBCX is also proposed to solve the CVRP to minimize the total distance traveled as well as to minimize the longest route length. The simulated study is performed on 88 benchmark CVRP instances to validate the success of our proposed GTBCX operator against the nearest neighbor crossover (NNX) and edge assembly crossover (EAX) operators. The rigorous simulation study shows that the GTBCX is a powerful operator and helps to find results that are superior in terms of the overall distance traveled, length of the longest route, quality, and number of Pareto solutions. This work employs a multi-objective optimization algorithm to solve the capacitated vehicle routing problem (CVRP), where the CVRP is represented in the form of a two-dimensional graph. To compute the values’ objective functions, the distance between two nodes in the graph is considered symmetric. This indicates that the genetic algorithm complex optimization algorithm is employed to solve CVRP, which is a symmetry distance-based graph

Oxygen-regulated gene expression in murine cumulus cells

Oxygen is an important component of the environment of the cumulus–oocyte complex (COC), both in vivo within the ovarian follicle and during in vitro oocyte maturation (IVM). Cumulus cells have a key role in supporting oocyte development, and cumulus cell function and gene expression are known to be altered when the environment of the COC is perturbed. Oxygen-regulated gene expression is mediated through the actions of the transcription factors, the hypoxia-inducible factors (HIFs). In the present study, the effect of oxygen on cumulus cell gene expression was examined following in vitro maturation of the murine COC at 2%, 5% or 20% oxygen. Increased expression of HIF-responsive genes, including glucose transporter-1, lactate dehydrogenase A and BCL2/adenovirus E1B interacting protein 3, was observed in cumulus cells matured at 2% or 5%, compared with 20% oxygen. Stabilisation of HIF1α protein in cumulus cells exposed to low oxygen was confirmed by western blot and HIF-mediated transcriptional activity was demonstrated using a transgenic mouse expressing green fluorescent protein under the control of a promoter containing hypoxia response elements. These results indicate that oxygen concentration influences cumulus cell gene expression and support a role for HIF1α in mediating the cumulus cell response to varying oxygen.Karen L. Kind, Kimberley K. Y. Tam, Kelly M. Banwell, Ashley D. Gauld, Darryl L. Russell, Anne M. Macpherson, Hannah M. Brown, Laura A. Frank, Daniel J. Peet and Jeremy G. Thompso

Prometheus Unbound. The Regeneration of a fallen God

Prometheus Unbound (1820) is a lyrical drama in four acts by Percy Bysshe Shelley, and is considered one of his major works. With this drama, Shelley rewrites Aeschylus' Prometheus myth and incorporates it into a larger mythic vision of mankind's potential to create a new golden age. The following analysis is a close reading of the first act of Prometheus Unbound, where Prometheus' character development through this act will be explored. It will be shown that Prometheus can be said to have lost his divinity, and struggles through the first act to restore it. In the critical reception of Prometheus Unbound, the numerous allusions and literary references to both Milton's Satan and Christianity's Jesus Christ have lead many critics to view Prometheus' regeneration as a transition from a Satanic to a Messianic figure. It is also common to view this regeneration as happening quickly and at the beginning of the drama. The following thesis will challenge both of these interpretive trends, and present an alternative interpretation of Shelley's Prometheus. On the one hand I argue that it is not necessary, and can even be detrimental, to rely too strongly on the allusions to Paradise Lost and the Bible when analyzing Prometheus' character development. On the other hand I argue that Prometheus' transformation is a moral, emotional, and intellectual process of growth, which spans the entirety of the first act

Problemet med «tillit» - En kvalitativ studie av tillit til norske nyhetsmedier

Denne oppgaven undersøker hva nyhetsmottakere legger i det å ha tillit til nyhetsmedier. Borgernes tillit til nyhetsmedier har lenge vært gjenstand for stor interesse, både innenfor medieforskningen og i samfunnsdebatter. Til tross for at tilliten til nyheter i Norge er høyere enn i andre land, anses manglende tillit til pressen som et stort problem for moderne demokrati. Tillitsforskningen har vært preget av kvantitative målinger som har tatt utgangspunkt i forskerens antakelser om hva tillit til nyhetsmedier betyr – og ikke i hva nyhetsmottakerne selv legger i det. Dette har ført til en begrenset forståelse for hva tillit til nyhetsmedier betyr for nyhetsmottakerne. Denne studien bruker derfor en kvalitativ tilnærming for å undersøke hva tretten nyhetsmottakere legger i å ha tillit til nyhetsmedier. Den studerer hvilke forventninger de legger til grunn i sine tillitsvurderinger, samt forholdet mellom deres tillitsvurderinger og eget nyhetsbruk. Funnene illustrerer at tillit er et komplisert forskningsfelt – informantene la til grunn en rekke aspekter i deres tillitsvurderinger. Det var imidlertid noen klare tendenser: Nyhetsmediene skulle formidle sann informasjon i tråd med presseetiske standarder, vise åpenhet, inneha relevant og god kompetanse og presentere et bredt og variert nyhetsbilde. Funnene peker også mot et tydelig paradoks i informantenes tillitsvurderinger og faktiske nyhetsbruk

The Removal of Ibuprofen Drugs Residues from Municipal Wastewater by Moringa Oleifera Seeds

Municipal wastewater may contain residues of different drugs causing severe chemical contamination of water bodies. However, the microbial degradation of Wastewater Treatment Plants (WWTP) may not eliminate such drug residues completely. The current work was designed to remove the Ibuprofen drug residues by using the Moringa Oleifera seeds. Various testing methods such as Brunauer, Emmett and Teller (BET), Transmission Electron Microscopy (TEM), scanning electron microscopy (SEM), Fourier transform infrared spectroscopy (FT-IR) were applied to assess the efficiency of such plant seeds in bioremoval of ibuprofen residues from municipal wastewater The batch reactor was used to find the optimum operating conditions using various parameters with different pH values, duration time, Ibuprofen concentration and various quantities of plant seeds. In the batch reactor, the operation conditions were: pH 7, duration time 150 min, Ibuprofen dose of 1000 mg/l, activated adsorbents and Moringa Oleifera seeds in the amount of 1000 mg/l. Moreover, the packed bed reactor was used to examine different parameters such as initial Ibuprofen concentration, flow rate and bed depth for 6 hours. It was found that the best conditions were 2 cm depth, and 25 l/hr flow rate. Meanwhile, the kinetic constants were studied by adsorption equilibrium with the isothermal Langmuir and Freundlich models. The best results were shown with the Freundlich isotherm, and the first pseudo order was more suitable for the removal of Ibuprofen by adsorbed activation of Moringa Oleifera seeds