Personalized Movie Database System

Personalized Movie Database System (PMDS) is a dynamic web application created for the purpose of viewing basic information about movies such as casting, trailers, ratings etc. It is designed as a one-stop destination for the user to access the movies that are Coming Soon, In Theatres or DVD/Blu-ray/Digital. Besides displaying the ratings from popular websites such as IMDB and Rotten Tomatoes, PMDS allows user to rate the movies. For the movies that are running in Theatres, PMDS displays movie show timings based on the user’s location. For the movies available in DVD/Digital versions, it provides the links to buy/stream them online. In addition to these, PMDS also suggests the similar movies that might interest the user. PMDS application has a rich, user-friendly Graphical User Interface design developed using Wordpress and PHP. The movie data is obtained from available APIs provided by IMDB, Rotten Tomatoes and other official API providers. The data, which is static for a particular movie (Eg. Cast, Plot, Poster etc.), is fetched from the APIs and stored into MySQL database using JSON/XML. The data that may vary with time such as Ratings, Show times etc. are fetched in real time by calling the respective APIs

A Consensus Based Decentralized State Estimation for Power Distribution Networks

This thesis presents a new Decentralized State Estimation algorithm using agents directed mainly to distribution power systems. This new algorithm solves problems that occur when one tries to estimate the state of the distribution power systems. By various reasons such as high levels of quality of service, automation capabilities and comparatively less size, those problems do not occur so frequently on the transmission systems. A consensus based static state estimation strategy for radial power distribution systems is proposed in this research. This thesis concentrates on the balanced systems.;There are buses acting as agents using which we can evaluate the local estimates of the entire system. Therefore each measurement model reduces to an under determined nonlinear system and in radial distribution systems, the state elements associated with an agent may overlap with neighboring agents. We propose a state estimation strategy, which effectively integrates the principles of local consensus and least squares technique and finally provides a decentralized solution to the radial power distribution grid. At the end of the thesis, we present the results of the application of the developed approach to a network based on a modified IEEE 13 bus test system and IEEE 33 bus Test System. The states of these systems are first estimated through centralized approach using least squares technique to compare with the proposed algorithm

Hardiness Karyawan yang Mengalami Pemutusan Hubungan Kerja

Penelitian tentang ketahanan karyawan yang mengalami pemutusan hubungan kerja bertujuan untuk mengetahui dan melihat bagaimana seseorang yang memiliki PHK dapat merubah sudut pandang dari permasalahan yang dihadapi. Sehingga dapat membangkitkan rasa semangat, sikap tidak putus asa dan mampu menjadi pribadi yang tangguh dalam menghadapi masalah. Peneliti menggunakan metode penelitian kualitatif dengan pendekatan studi kasus. Selain itu, penelitian ini juga menggunakan teknik dan observasi bola salju, wawancara, dan skala kekerasan menurut yo Kobassa. Dalam penelitian ini terdapat tiga subjek yang merupakan karyawan yang telah bangkit dari masalah yang dihadapi. Hasil penelitian menunjukkan bahwa ketiga subjek dalam penelitian ini pernah menduduki jabatan atau jabatan berbeda. Perbedaan posisi yang pernah dilakukan subjek membuat mereka merasakan kekecewaan yang sama. Pemutusan hubungan kerja yang dialami oleh ketiga subjek ini menyebabkan perubahan sifat dan sudut pandang mereka terhadap suatu masalah. Namun demikian komitmen mereka untuk bangkit dari permasalahan untuk memenuhi kebutuhan keluarga, khususnya bagi subjek RT dan NN yang merupakan kepala keluarga tetap memiliki tanggung jawab untuk membiayai anak, hal tersebut menjadi tantangan dalam hidup mereka. Dengan melihat peluang untuk muncul kembali dari masalah memastikan subjek mampu melewati situasi yang dihadapi, dukungan keluarga juga menjadikan mereka orang yang kuat atau seseorang yang tahan banting, yang mampu mengubah cara stres negatif menjadi positif. tantangan

Medical Image Segmentation using Deep Learning using Segnet

Convolutional neural networks (CNNs) have achieved state-of-the-art performance for automatic medical image segmentation. However, they have not demonstrated sufficiently accurate and robust results for clinical use. In addition, they are limited by the lack of image-specific adaptation and the lack of generalizability to previously unseen object classes (a.k.a. zero-shot learning). To address these problems, we propose a novel deep learning-based interactive segmentation framework by incorporating CNNs into a bounding box and scribble-based segmentation pipeline. We propose image-specific fine-tuning to make a CNN model adaptive to a specific test image, which can be either unsupervised (without additional user interactions) or supervised (with additional scribbles). We also propose a weighted loss function considering network and interaction-based uncertainty for the fine-tuning. We applied this framework to two applications: 2D segmentation of multiple organs from fetal Magnetic Resonance (MR) slices, where only two types of these organs were annotated for training; and 3D segmentation of brain tumor core (excluding edema) and whole brain tumor (including edema) from different MR sequences, where only the tumor core in one MR sequence was annotated for training. Experimental results show that 1) our model is more robust to segment previously unseen objects than state-of-the-art CNNs; 2) image- specific fine-tuning with the proposed weighted loss function significantly improves segmentation accuracy; and 3) our method leads to accurate results with fewer user interactions and less user time than traditional interactive segmentation methods

Back biasing technique in preventing clogging of pores on the porous silicon templates for the deposition of zinc oxide

Advisors: Michael J. Haji-Sheikh.Committee members: Martin Kocanda; Donald Zinger.The main objective of this thesis is to study the thin layer that seemed to have been formed during the electrochemical etching process and devise a method to remove this layer and subsequently deposit Zinc Oxide using Vapor Condensation method. The first step of the process involves cleaning the substrates in isopropanol, methanol and deionized water. The pores are then formed using Electrochemical etching of silicon. The electrolyte containing a mixture of hydrofluoric acid (HF) and ethanol in 1:3 ratios is used in this process. The electrolyte concentration and the etching time are kept constant in this process.In order to reduce a layer that is blocking the nanowire growth in the pores, the polarities of the constant current source used in this process are switched and the process is carried out for different time periods. This is called "Back Biasing". The growth was carried out using Vapor Condensation method with source material as Zinc powder (99.99%) and the target material as the Porous silicon templates under constant flow of argon gas. All the resultant samples were then characterized using FESEM (Field Emission Scanning Electron Microscopy) to study the morphology, X ray Diffraction to confirm the presence of ZnO and UV-Vis Spectroscopy for the optical properties.M.S. (Master of Science

AN ANALYSIS OF TABOO AND SWEAR WORDS IN TED 2 MOVIE

This study aims to identify the types and the functions of taboo and swear words used by the characters in Ted 2  movie. This study is conducted by using qualitative method and the findings are explained descriptively. Data were generated from the movie script, in the form of utterances, dialogues, and conversations that contain taboo and swear words. The findings revealed that most of taboo words used by the characters belong to religion. This study also find that the types of swear words in this movie are classified into two categories first are strong swear words and second is weak swear words. The strong swear words are verbalized by the characters showed the emotion and exclamation of annoyance. While the weak swear words which showed an exclamation of surprise. The reasons why the characters used swear words are to discredit someone/something, create attention, provoke and create interpersonal identification. Discrediting someone/something becomes the highest rank among four reasons. The characters in the movies often used it because they disagree with others, and the characters use swear words to protest for not complying with their wishes. Hence, learning and becoming more aware of how taboo and swear words are used in the literary work will help us improve our understanding of the linguistics phenomenon happened in the society

Keystroke Dynamics as Part of Lifelogging

In this paper we present the case for including keystroke dynamics in lifelogging. We describe how we have used a simple keystroke logging application called Loggerman, to create a dataset of longitudinal keystroke timing data spanning a period of more than 6 months for 4 participants. We perform a detailed analysis of this data by examining the timing information associated with bigrams or pairs of adjacently-typed alphabetic characters. We show how there is very little day-on-day variation of the keystroke timing among the top-200 bigrams for some participants and for others there is a lot and this correlates with the amount of typing each would do on a daily basis. We explore how daily variations could correlate with sleep score from the previous night but find no significant relation-ship between the two. Finally we describe the public release of this data as well including as a series of pointers for future work including correlating keystroke dynamics with mood and fatigue during the day.Comment: Accepted to 27th International Conference on Multimedia Modeling, Prague, Czech Republic, June 202

Integrated with Boost-Buck-Boost Topology on Solar & Wind Renewable Energy Resources

The integration was started with wind farms. When the price for photovoltaic panels became affordable, the penetration of PV became to be used more often but not necessarily at the same level of power as wind. For medium to high power the PV’s are modularly used. Many studies propose small power integration (few kW) for both wind and solar PV as hybrid stand-alone systems. Other studies added fuel cells and batteries creating the concept of multi-port system. I have proposed a double-port boost-buck-boost (BBB) topology that enhances the power capability of the PV-Wind power system during partial solar irradiation and weak winds. In this paper a hybrid power electronics interface that combines the energy from solar photovoltaic panel and wind generator into a small scale stand-alone system is proposed. After the description of operation of this Dual-port interface, a simulation model for 1 kW PV array integrated together with a 1.5 kW wind generator was developed and simulation results are presented

Achieving enhanced ionic mobility in nanoporous silica by controlled surface interactions

We report a strategy to enhance the ionic mobility in an emerging class of gels, based on robust nanoporous silica micro-particles, by chemical functionalization of the silica surface. Two very different ionic liquids are used to fill the nano-pores of silica at varying pore filling factors, namely one aprotic imidazolium based (1-methyl-3-hexylimidazolium bis(trifluoromethanesulfonyl)imide, C6C1ImTFSI), and one protic ammonium based (diethylmethylammonium methanesulfonate, DEMAOMs) ionic liquid. Both these ionic liquids display higher ionic mobility when confined in functionalized silica as compared to untreated silica nano-pores, an improvement that is more pronounced at low pore filling factors (i.e. in the nano-sized pore domains) and observed in the whole temperature window investigated (i.e. from −10 to 140 °C). Solid-state NMR, diffusion NMR and dielectric spectroscopy concomitantly demonstrate this effect. The origin of this enhancement is explained in terms of weaker intermolecular interactions and a consequent flipped-ion effect at the silica interface strongly supported by 2D solid-state NMR experiments. The possibility to significantly enhance the ionic mobility by controlling the nature of surface interactions is extremely important in the field of materials science and highlights these structurally tunable gels as promising solid-like electrolytes for use in energy relevant devices. These include, but are not limited to, Li-ion batteries and proton exchange membrane (PEM) fuel cells

New Insights into the Molecular Structures, Compositions, and Cation Distributions in Synthetic and Natural Montmorillonite Clays

International audienceWe present a detailed investigation of the molecular structure of montmorillonite, an aluminosilicate clay with important applications in materials sciences, such as for catalysis, drug delivery, or as a waste barrier. Solid-state 29Si, 27Al, 25Mg, and 1H nuclear magnetic resonance (NMR) measurements combined with density functional theory (DFT) calculations provide a comprehensive picture of the local structure and composition of a synthetic clay and its naturally-occurring analogue. A revised composition is proposed based on NMR results that allow the identification and quantification of the signatures of otherwise undetectable non-crystalline impurities, thus largely complementing the traditional elemental analyses. Solid-state 1H NMR at fast magic-angle spinning (MAS) and high magnetic field provide quantitative information on intra- and inter-layer local environments that are crucial for the determination of the amount of Mg/Al substitution within the octahedral layer. In combination with DFT calculations of energies, it suggests that pairs of adjacent Mg atoms are unfavorable, leading to a non-random cationic distribution within the layers