Computer Sciences Commons^™

Test Central, Kushagra Jain

Manipal Institute of Technology, Manipal Theses and Dissertations

No abstract provided.

Campaign And Twitter Analysis, Gaurangi Gupta

Manipal Institute of Technology, Manipal Theses and Dissertations

No abstract provided.

"Mailing System And Cost Management Application ", Vishal Chaturvedi

Manipal Institute of Technology, Manipal Theses and Dissertations

No abstract provided.

Implementing Client Reporting Feature In Standard Reporting Service, Tarun Rath

Manipal Institute of Technology, Manipal Theses and Dissertations

No abstract provided.

Data Analytics Of A Saas B2b Conversational Ai, Rohit Bhardwaj

Manipal Institute of Technology, Manipal Theses and Dissertations

No abstract provided.

Estimating Gene Expression From Dna Methylation And Copy Number Variation: A Deep Learning Regression Model For Multi-Omics Integration, Dibyendu Bikash Seal, Vivek Das, Saptarsi Goswami, Rajat K. De

ISI Best Publications

Gene expression analysis plays a significant role for providing molecular insights in cancer. Various genetic and epigenetic factors (being dealt under multi-omics) affect gene expression giving rise to cancer phenotypes. A recent growth in understanding of multi-omics seems to provide a resource for integration in interdisciplinary biology since they altogether can draw the comprehensive picture of an organism's developmental and disease biology in cancers. Such large scale multi-omics data can be obtained from public consortium like The Cancer Genome Atlas (TCGA) and several other platforms. Integrating these multi-omics data from varied platforms is still challenging due to high noise and …

Learning To Learn Kernels With Variational Random Features, Xiantong Zhen, Haoliang Sun, Yingjun Du, Jun Xu, Yilong Yin, Ling Shao, Cees Snoek

Machine Learning Faculty Publications

We introduce kernels with random Fourier features in the meta-learning framework for few-shot learning. We propose meta variational random features (MetaVRF) to learn adaptive kernels for the base-learner, which is developed in a latent variable model by treating the random feature basis as the latent variable. We formulate the optimization of MetaVRF as a variational inference problem by deriving an evidence lower bound under the meta-learning framework. To incorporate shared knowledge from related tasks, we propose a context inference of the posterior, which is established by an LSTM architecture. The LSTMbased inference network effectively integrates the context information of previous …

Grading Homeworks, Verifying Code: How Thorough Should The Feedback Be?, Francisco Zapata, Olga Kosheleva, Vladik Kreinovich

Departmental Technical Reports (CS)

In the ideal world, we should assign many homeworks and give a thorough feedback for each homework. However, in reality, the instructor's time is limited, so we can either assign few homeworks and give a detailed feed back for all of them, or we can assign many homeworks, but give a less thorough feedback. What is the optimal thoroughness? A similar question can be raised for code verification: what is the optimal amount of feedback that should be provided to each programmer? In this paper, we provide answers to these questions.

Why Majority Rule Does Not Work In Quantum Computing: A Pedagogical Explanation, Oscar Galindo, Olga Kosheleva, Vladik Kreinovich

Departmental Technical Reports (CS)

To increase the reliability of computations result, a natural idea is to use duplication: we let several computers independently perform the same computations, and then, if their results differ, we select the majority's result. Reliability is an important issue for quantum computing as well, since in quantum physics, all the processes are probabilistic, so there is always a probability that the result will be wrong. It thus seems natural to use the same majority rule for quantum computing as well. However, it is known that for general quantum computing, this scheme does not work. In this paper, we provide a …

Adversarial Teaching Approach To Cybersecurity: A Mathematical Model Explains Why It Works Well, Christian Servin, Olga Kosheleva, Vladik Kreinovich

Departmental Technical Reports (CS)

Teaching cybersecurity means teaching all possible ways how software can be attacked -- and how to fight such attacks. From the usual pedagogical viewpoint, a natural idea seems to be to teach all these ways one by one. Surprisingly, a completely different approach works even better: when the class is divided into sparring mini-teams that try their best to attack each other and defend from each other. In spite of the lack of thoroughness, this approach generates good specialists -- but why? In this paper, by analyzing a simple mathematical model of this situation, we explain why this approach work …

Let Us Use Negative Examples In Regression-Type Problems Too, Jonatan Contreras, Francisco Zapata, Olga Kosheleva, Vladik Kreinovich, Martine Ceberio

Departmental Technical Reports (CS)

In many practical situations, we need to reconstruct the dependence between quantities x and y based on several situations in which we know both x and y values. Such problems are known as regression problems. Usually, this reconstruction is based on positive examples, when we know y -- at least, with some accuracy. However, in addition, we often also know some examples in which we have negative information about y -- e.g., we know that y does not belong to a certain interval. In this paper, we show how such negative examples can be used to make the solution …

Enumerative Branching With Less Repetition, Thiago Serra

Faculty Conference Papers and Presentations

We can compactly represent large sets of solutions for problems with discrete decision variables by using decision diagrams. With them, we can efficiently identify optimal solutions for different objective functions. In fact, a decision diagram naturally arises from the branch-and-bound tree that we could use to enumerate these solutions if we merge nodes from which the same solutions are obtained on the remaining variables. However, we would like to avoid the repetitive work of finding the same solutions from branching on different nodes at the same level of that tree. Instead, we would like to explore just one of these …

Rrsds: Towards A Robot-Ready Spoken Dialogue System, Casey Kennington, Daniele Moro, Lucas Marchand, Jake Carns, David Mcneill

Computer Science Faculty Publications and Presentations

Spoken interaction with a physical robot requires a dialogue system that is modular, multimodal, distributive, incremental and temporally aligned. In this demo paper, we make significant contributions towards fulfilling these requirements by expanding upon the ReTiCo incremental framework. We outline the incremental and multimodal modules and how their computation can be distributed. We demonstrate the power and flexibility of our robot-ready spoken dialogue system to be integrated with almost any robot.

Semantics With Feeling: Emotions For Abstract Embedding, Affect For Concrete Grounding, Daniele Moro, Gerardo Caracas, David Mcneill, Casey Kennington

Computer Science Faculty Publications and Presentations

An important yet underexplored aspect of meaning in both distributional and grounded models of semantics is emotion. In this paper, we explore how emotion can be predicted from descriptions of robot behaviors represented with embeddings. We then compare this approach with a grounded model that maps corresponding robot behaviors represented as internal states to the same emotion labels and discover comparable results. We then take the predictions from the second model and use them as a proxy for concrete affect (as opposed to abstract emotion) and use this derived affect to ground a semantic classifier in a retrieval task and …

How To Make Sure That Robot's Behavior Is Human-Like, Vladik Kreinovich, Olga Kosheleva, Laxman Bokati

Departmental Technical Reports (CS)

In many applications -- e.g., in health care -- it is desirable to make robots behave human-like. This means, in particular, that robotic control should not be optimal, it should be similar to human (suboptimal) behavior. People's decisions are based on bounded rationality: since we cannot compute an optimal solution for all possible situations, we divide situations into groups and come up with a solution appropriate for each group. What is optimal here is the division into groups. It is therefore desirable to implement a similar algorithm for robots. To help with such algorithms, we provide techniques that help optimally …

Human Behavior Is A Significant Flaw In Maintaining Cyber Security, Elizabeth Jackson

Cybersecurity Undergraduate Research Showcase

Human behavior and data security utilization must be intertwined; in order to mitigate the negative effects of cyber attacks. No consumer wants their data hacked, breached, stolen, shared or wiped out. It is imperative to survey the type of education is needed to keep users safe and interested in securing their data. This can be done by simply seeking out the consumer's view of data security. The information obtained would allow the cybersecurity community to offer a simple way for consumers to protect their mobile data. There is a constant interaction between human behavior and the need for increased data …

Helion’S Snapshot Module, Nii-Kwartei Quartey

Cybersecurity Undergraduate Research Showcase

During my undergraduate research, I spent my time working with a home automation program known as Helion, specifically, its Snapshot module. I was tasked with learning new material and completing part of the webpage that were unfinished. I also had to get a little creative when working on a design that users could find appealing. There were times I found working on Helion difficult but overall, working with Helion’s Snapshot Module is something that will help me improve with my undergraduate studies.

Deep Learning For Real-World Object Detection, Xiongwei Wu

Dissertations and Theses Collection (Open Access)

Despite achieving significant progresses, most existing detectors are designed to detect objects in academic contexts but consider little in real-world scenarios. In real-world applications, the scale variance of objects can be significantly higher than objects in academic contexts; In addition, existing methods are designed for achieving localization with relatively low precision, however more precise localization is demanded in real-world scenarios; Existing methods are optimized with huge amount of annotated data, but in certain real-world scenarios, only a few samples are available. In this dissertation, we aim to explore novel techniques to address these research challenges to make object detection algorithms …

Krahasimi I Framework-Ave Zend Framework Dhe Laravel Ne Php, Gentrit Gruda

Theses and Dissertations

Zhvillimi i Teknologjive i cili sa vjen e rritet, bien më vetë një nevojë e cila është që çdo gjë që zhvillohën, të zhvillohën më shpejtë, më stabil dhe më pak probleme. Pikërisht këtë problem disa individë më idetë e tyre mundohën ta largojnë duke zhvilluar framework-a të cilat na ndihmojnë të zhvillojmë webfaqe apo aplikacion sa më shpejtë që të jetë e mundur, por duke mos anashkaluar cilësinë dhe saktësinë në vetë. Kur zhvillohën kësi framework-a, zhvillohën që të lehtësohet puna e një zhvilluesi, duke i ndihmuar dhe lehtësuar futjen e të dhënave në bazën e shënimeve, krijimin e …

Analiza E Algoritmeve Të Protokoleve Të Rrugëtimit Ospf, Eigrp Dhe Rip, Ledion Shala

Theses and Dissertations

Në rrjetin kompjuterik, bartja e të dhënave bazohet në protokolin e rrugetimit i cili zgjedh rruget më të mira në mes të dy nodave. Llojet e ndryshme të protokoleve të rrugetimit aplikohen në mjedise specifike të rrjetit. Tri tipet më të përdorura të protokolit të rrugetimit zgjidhen sipas modeleve simuluse: RIP, OSPF dhe EIGRP. RIP(Routing Information Protocol) është njëri nga protokolet rrugetuese më të vjetra që është akoma në shërbim. Numri i hapava ësht sistemi metrik që RIP e përdor dhe limiti i hapave e përkufizon madhsin e rrjetit që RIP mund ta përkrah. OSPF(Open shortest path first) është IGP-ja …

Transformimi Dhe Filtrimi I Imazheve Ne Radiografi, Satelite Dhe Radare Meteorologjike, Remzi Gashi

Theses and Dissertations

Përpunimi digjital i imazhit është një fushë e një zhvillimi shumë të shpejtë dhe me një zbatim të gjerë në shumë fusha. Është e natyrshme që çdo fushë synon të ketë imazhe me rezolucion sa më të mirë si dhe një shpejtësi sa më të madhe të procesimit e që kjo gjithnjë mbetet një sfidë me avancimin e teknologjisë. Shpesh imazhet të cilat i marrim qoftë ato radiografike, satelitore apo edhe ato nga radarët meteorologjike nuk kanë një qartësi apo pamje të mirë, kualiteti i tyre ndikohet shumë edhe nga performancat e pajisjeve si dhe shtresat e shumta në atmosferë. …

Sfidat E Kujdesit Shëndetësor Dhe Roli I Teknologjisë Së Informacionit Shëndetësor, Blerina Veliu

Theses and Dissertations

Teknologjia e informacionit shëndetësor është një sistem i jashtëzakonshëm që ngërthen në vete kompleksitetin e tij dhe ofron potencial për të përmirësuar cilësinë, efikasitetin, sigurinë dhe kursen kohën në shkallë të madhe. Vendosja e teknologjisë së informacionit shëndetësor ballafaqohet me sfida të reja dhe përgjatë rrugëtimit mund të krijohen edhe probleme të ndryshme, të natyrave të ndryshme, të cilat ndonëse mund të jenë të vështira, mirëpo ato janë të kapërcyeshme dhe të tejkalueshme. Ky punim ofron një çasje të balancuar rreth tri elementeve të rëndësishme: E para: Ofron informacione të mjaftueshme dhe të bollshme se çka përfshin teknologjia e informacionit …

Planifikimi I Rrjeteve Pa Tela (Wlan) Dhe Analiza E Performancave Të Rrjetit Wlan Të Kolegjit Ubt, Valerina Smakaj

Theses and Dissertations

Në këtë punim është studiuar planifikimi i rrjeteve pa tela, analiza e performancave të rrjetit WLAN në Kolegjin UBT. Është analizuar rrjeti WLAN i kolegjit, struktura e objektit, numri i përdoruesve, numri i pajisjeve të përdorura dhe shpërndarja e rrjetit në këtë objekt, i cili është i përbërë nga kati përdhesë, i parë, i dytë dhe i tretë. Për matje dhe analizë të rrjetit është përdorur softueri “Ekahau Heatmapper” ku janë bërë matjet për fuqinë e sinjalit, throughput, kanalet, SSID, MAC adresa, standardi, frekuencat dhe mënyra e sigurisë së rrjetit. Pas rezultateve nga matjet, është propozuar një planifikim i ri …

Sql Server 2016 Dhe Oracle 12cr2, 2016 – Shtjellimi I Disa Prej Mundësive Të Ofruara Për Përdorim Të Dy Prej Liderëve Botëror Në Menaxhimin E Të Dhënave, Shkëlqim Mani

Theses and Dissertations

Ky punim ka për qëllim shtjellimin e disa prej mundësive të ofruara për përdorim të dy prej software-ve më të popullarizuar që shërbejnë për ruajten e të dhënave që janë SQL Server 2016 dhe Oracle 12cR2.

Përgjatë projektit, fillimisht, në pika të shkurta do të paraqes historikun si të njërit ashtu dhe të softuerit tjetër duke filluar që nga krijimi i tyre e deri tek verzionet të cilat i kam marrur për bazë në kuadër të këtij punimi. Pastaj, do të vazhdoj me shtjellimin e disa prej mundësive të ofruara për përdorim të të dy softuer-ve me ç’rast do të …

Menyra Se Si E Perdorin Kompanite Portal Softuerin, Votra Orllati

Theses and Dissertations

Me zhvillimin e teknologjisë mediat online kanë gjetur një aplikim shumë të madhe duke zëvendësuar mediat e shkruar. Kjo ka ndikuar edhe në ofrimin shumë te shpejtë te lajmeve online nga ana e portaleve. Dërgimi i lajmeve me foto e video nga ana e qytetareve është i mundshëm për arsye se tani pothuajse ç'do qytetar përmban një telefon inteligjent.

Mundësitë e dërgimit te lajmeve nga ana e qytetareve dhe pagesa e tyre është temë që do të studiojë.

Këtë studim do ta bëjë duke hulumtuar, studiuar e analizuar literaturë të ndryshme.

Duke realizuar intervistë me menagjeret përkatës të portaleve që …

Virtual Reality - Vr, Daors Islami

Theses and Dissertations

The definition of virtual reality or a computer game VR comes, naturally, from the definitions for both ‘virtual’ and ‘reality’. The definition of ‘virtual’ is near and reality is what we experience as citizenry. So the term ‘virtual reality’ basically means ‘near-reality’. This could, of course, mean anything but it always refers to a selected sort of reality emulation. Everything that we all know about our reality comes by way of our senses. In other words, our entire experience of reality is just a mixture of sensory information and our brains sense-making mechanisms for that information. It stands to reason …

An Application Of The Unscented Kalman Filter For Spacecraft Attitude Estimation On Real And Simulated Light Curve Data, Kent A. Rush

Master's Theses

In the past, analyses of lightcurve data have been applied to asteroids in order to determine their axis of rotation, rotation rate and other parameters. In recent decades, these analyses have begun to be applied in the domain of Earth orbiting spacecraft. Due to the complex geometry of spacecraft and the wide variety of parameters that can influence the way in which they reflect light, these analyses require more complex assumptions and a greater knowledge about the object being studied. Previous investigations have shown success in extracting attitude parameters from unresolved spacecraft using simulated data. This paper presents a focused …

Learning Word Groundings From Humans Facilitated By Robot Emotional Displays, David Mcneill, Casey Kennington

Computer Science Faculty Publications and Presentations

In working towards accomplishing a human-level acquisition and understanding of language, a robot must meet two requirements: the ability to learn words from interactions with its physical environment, and the ability to learn language from people in settings for language use, such as spoken dialogue. In a live interactive study, we test the hypothesis that emotional displays are a viable solution to the cold-start problem of how to communicate without relying on language the robot does not–indeed, cannot–yet know. We explain our modular system that can autonomously learn word groundings through interaction and show through a user study with 21 …

Machine Learning For The Internet Of Things: Applications, Implementation, And Security, Vishalini Laguduva Ramnath

USF Tampa Graduate Theses and Dissertations

Artificial intelligence and ubiquitous sensor systems have seen tremendous advances in recent times, resulting in groundbreaking impact across domains such as healthcare, entertainment, and transportation through a collective ecosystem called the Internet of Things. The advent of 5G and improved wireless networks will further accelerate the research and development of tools in deep learning, sensor systems, and computing platforms by providing improved network latency and bandwidth. While tremendous progress has been made in the Internet of Things, current work has largely focused on building robust applications that leverage the data collected through ubiquitous sensor nodes to provide actionable rules and …

Efficient Viewshed Computation Algorithms On Gpus And Cpus, Faisal F. Qarah

USF Tampa Graduate Theses and Dissertations

Nowadays with the advance in managing and collecting large data, GIS is one of the applications that suffer from lack of efficient data management methods. GIS data often come in form of maps with different types of data such as temperature, topology, and population.

This dissertation focuses on exact-viewsheds computation for large terrains, and due to the poor performance of current exact-viewshed algorithms that may need several hours to process a midsize map, we found the need for new algorithms that are capable of efficiently computing viewshed for large size maps. This work presents a highly-efficient exact-viewshed computation algorithm based …