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Music production software has a strong tradition of two-dimensional graphical user interface (GUI), in which the time line is represented as a flat composition either horizontally (from left to right) or vertically (from top to bottom). In my degree work titled Sequi, I approach music composition from a different angle. Instead of a two-dimensional time line with only two possibly ways of progression (forward or backward) I constructed a three-dimensional GUI with the maximum of four different ways of progression from any given point in a composition. The height axis is used to describe time-intervals (the time between downbeats) and the wide and depth axes are used to describe progression from one sound to another.

This project demonstrates opening cinematic design from conceptualization to final composition. Using Unreal Engine 5, I created an opening cutscene using Unreal’s sequencer editor to film and edit my shots. This document presents the steps I took to create my sequence from the writing process to the final layout. Starting as a written story, I worked my way to the final project by creating a mock scene and storyboarding. After this, I built my scene using assets from the Unreal marketplace and lit my scene with HDRI and dynamic lighting. I encountered many new programs such as Cascade and Mixamo to create and edit particle effects for my scene and animations for my protagonist character. I created unique sound effects for the level, recorded my shots with movement and color correction, and edited the final composition.

ITC/USA 2005 Conference Proceedings / The Forty-First Annual International Telemetering Conference and Technical Exhibition / October 24-27, 2005 / Riviera Hotel & Convention Center, Las Vegas, Nevada / Pulse Code Modulation (PCM) Encoders used in Telemetry Instrumentation systems have traditionally been implemented using sequencer or state-machine based micro-architectures with distributed control and signal acquisition components. This architecture requires the use of many discrete electronic components and custom micro-code programming or state machine development for the control of the systems. The advent of relatively high-speed microcontrollers with embedded signal acquisition subsystems has brought about the ability to implement highly integrated PCM Encoder systems using fewer components and standardized programming methods. This paper will discuss sequencer based PCM encoders for background and then introduce the concept of Microcontroller Based PCM Encoders for Telemetry Instrumentation. Specific design examples will be introduced. Advantages and disadvantages of the two techniques will be discussed.

Detta arbete tar avstamp i Brian Enos uttryck generative music, detta har blivit förknippat med modulära syntar. Hos modulära syntar är möjligheterna stora att ställa in parametrar och sedan låta synten göra sitt, vilket kan skapa intressanta ljudlandskap. Det som dock sällan uppstår är melodier. Arbetet går ut på att lägga till ytterligare en dimension i en sådan kreativ process. Målet med arbetet är att skapa en steg-sequencer inom formatet Eurorack. Denna sequencer ska kunna spela, och slumpmässigt ändra melodier, utifrån valda parametrar. Den önskas dessutom kunna uttrycka musik utifrån musikteoretiska koncept. En prototyp skapas med mikrokontrollern RP2040 från Raspberry Pi Foundation, kretskort designas och tillverkas med KiCad och beställs från mönsterkortstillverkare JLCPCB. Mjukvaran utvecklas i programmeringsspråket C, och skrivs så generellt som möjligt för att det skapade operativsystemet ska kunna expanderas. Prototypen klarar av att programmeras på samma sätt som man skriver noter på notblad. Den innehåller två separata sekvenser med 16 takter vardera, dessa är oberoende av varandra och kan vara olika längd. Det går att ställa in skala och tonart, dessa påverkar båda sekvenser. Det går att ställa in sannolikhet för slumpmässiga ändringar i tonart, skala, melodi på två sekvenser, och harmonisering mellan sekvenserna. Förutom sannolikhet finns flera andra parametrar för de slumpmässiga ändringarna. På prototypens panel sitter en bildskärm och 18 tryckknappar där 13 av dem är utformade likt tangenterna på ett piano. Förutom att programmera sekvenser går det även att spela de kopplade syntarna med pianotangenterna. Följande MoSCoW modellen uppfyller prototypen alla ska och bör mål. Endast två av önskade målen är ej uppfyllda. Funktionaliteten upplevs över författarens förväntan. / This work kicks off with Brian Enos expression generative music. Generative music has risen to prominence lately within the modular synth community. With modular synthesizers there are basically infinite possibilities of setting up some modules and let the synth play forever creating soundscapes without human influence. What seldom is produces in this process is melodies. This work sets to add a new dimension to this kind of creative process. A step-sequencer is produced, intended to play random musical harmonies, within the boundaries that are set. Another aspiration is to create a sequencer which more closely follows the principles of basic music theory. A prototype is created with the microcontroller RP2040 from Raspberry Pi foundation. The circuit board is designed and created in KiCad and ordered from PCB manufacturer JLCPCB. Software is written in the C programming language, data structures are written as generic as possible, so that the operating system easily can be expanded. The result is a sequencer in which you add notes much like you would write sheet music. It contains two separate sequences which can play at the same time, both with 16 bars. There is a changeable key and scale which both affect the sequences. It has the possibility to set a probability for random changes to occur. The key, the scale, the melodies, and harmonization can be randomized. There are several other parameters that affect the randomization. The front panel of the sequencer contains a display and several buttons, some of which is positioned as a piano, which you can use to play any synth it is connected to. Following the MoSCoW model, the prototype fulfills all the must and should goals, only two of the could goals is not implemented. The usability and functionality are beyond the authors expectations.

With increased availability of smartphones, game consoles and computers with capabilities of synthesizing procedural music in real time comes the challenge of realizing new tools for generative music composition for games, inter-media art and musical live performance.This work defines a new method of creating music, “procedural sequencing”, and it presents a musical software that attempts to solve some of the design challenges of bridging interactive elements and more traditional tools for music composition. The software combines aspects of live coding with tracker sequencing.

L'exploitation de la variation clonale est une des voies d'amélioration utilisée chez un grand nombre de plantes d'intérêts agronomiques telles que la pomme de terre, le café et la vigne. En effet, après plusieurs cycles de reproduction végétative, des caractéristiques agronomiques stables apparaissent donnant naissance à une diversité phénotypique remarquable, appelée « diversité clonale ». Chez la vigne, cette diversité clonale est d'une importance majeure pour les viticulteurs puisqu'elle permet une amélioration variétale sans changer d'identité de cépage en conformité avec la réglementation fixée par Appellations d'Origine Protégée. L'hypothèse la plus parcimonieuse expliquant cette diversité phénotypique clonale est l'accumulation de mutations somatiques au cours des cycles de reproduction végétative. L'objectif de cette thèse a été de dresser un panorama le plus exhaustif possible des différents polymorphismes moléculaires entre les génomes de plusieurs clones. Dans un premier temps trois clones de Pinot ont été séquencés par la technique 454 GS-FLX puis dans un second temps 11 clones de quatre cépages ont été séquencés la technique Illumina HiSeq 2000. Afin d'analyser la grande quantité de données obtenues, nous avons construit un pipeline d'analyse (Bacchus pipeline) permettant d'identifier tous les types de polymorphismes moléculaires entre les différents génomes.Nos résultats permettent, pour la première fois un inventaire exhaustif des polymorphismes moléculaires dans un contexte multiplication végétatif. L'ensemble des mutations polymorphes entre deux clones a pu être identifié, SNPs, indels (2,5 SNPs et 11,5 indels par Mb en moyenne) ainsi que des variations d'ordre structural (larges insertions ou délétions) représentant la classe la plus fréquente (129 évènements par Mb entre deux clones en moyenne). Afin d'évaluer le polymorphisme d'insertion généré par ces éléments nous en avons étudié quatre par une approche S-SAP sur plusieurs niveaux de diversité (inter-espèces, inter-cépages, inter-clones et entre plusieurs tissus d'un même individu). L'analyse phylogénétique au niveau des espèces est conforme à celle réalisée avec d'autres types de marqueurs moléculaires (SSR, SNP). Cependant, une forte instabilité de ces insertions a été confirmée entre les clones et entre les tissus d'un même d'individu. L'identification des clones par une méthodologie moléculaire serait d'une grande importance pour la filère. Pour cet objectif, nos résultats indiquent que les mutations de types SNP et petits indels qui sont certes moins fréquentes que les variations structurales mais qui sont plus stables semblent plus pertinentes pour la mise en place d'une méthodologie d'identification des clones / Clonal variation is considered as an effective contribution to breeding programs of vegetatively propagated species with major agronomical interest such as banana, potato, coffee and grape. Indeed, after several propagation cycles, stable and heritable phenotypic variations appear giving rise to a phenotypic variation termed “clonal diversity”. This clonal diversity is very important for wine-growers because it allows preserving cultivars identity in the strict respect of Appellation (A.O.P) wines specifications The most parsimonious hypothesis explaining clonal phenotypic diversity is the accumulation of somatic mutations. The objective of my thesis was to provide a broad description of molecular polymorphisms in the context of vegetative propagation. Three clones were first sequenced by 454 GS-FLX technology and eleven clones were then sequenced with Illumina Hiseq2000 technique. To analyse the high quantity of data obtained, we built a pipeline (Bacchus pipeline) allowing the identification of all existing molecular polymorphisms between different genomes.All polymorphism types were observed: indels and SNPs which have a low polymorphism frequency (2.5 SNPs and 11.5 indels per Mb between two clones in average) and structural variations (large insertions or deletions) which have a high polymorphism frequency (129 per Mb between two clones in average) but are unstable. To evaluate stability and polymorphism level of these transposable elements, we have studied 4 elements using S-SAP method at different diversity levels (inter-species, inter-cultivars, inter-clones and between organs/tissues of a single individual). Our interspecific phylogenetic analysis is similar to other phylogenies performed with SSR or SNPs markers. However, we confirm the high instability of these elements between clones and between tissues in single individuals.Clone identification through molecular methods would be of high significance for the wine industry. SNP or small indels mutations are less frequent but more stable than structural variation and could be used for accurate clone identification.

京都大学 / 新制・課程博士 / 博士(医学) / 甲第24783号 / 医博第4975号 / 新制||医||1066(附属図書館) / 京都大学大学院医学研究科医学専攻 / (主査)教授 村川 泰裕, 教授 波多野 悦朗, 教授 小川 誠司 / 学位規則第4条第1項該当 / Doctor of Medical Science / Kyoto University / DFAM

Depuis leur apparition, les séquenceurs haut débit ont révolutionné l'étude des transcriptomes à l'échelle du génome. En effet, ils offrent la possibilité de générer des millions, voire des milliards de séquences, appelées reads. Des nouvelles approches transcriptomiques, telles que la Digital Gene Expression (DGE) et le RNA-Sequencing (RNA-Seq), permettent aujourd'hui de répertorier, de quantifier, voire reconstruire tous les transcrits d'une cellule, même les plus rares. Parmi ce type de transcrits se trouvent des ARN non-codants régulateurs ; des variants d'épissages créateurs de protéines ; et aussi des chimères (par fusion de gènes ou trans-épissage). La caractérisation de l'ensemble de ces transcrits représente un réel défi algorithmique, mais suscite aussi un défi biologique car certains peuvent être impliqués dans de nombreux processus cellulaires physiologiques et pathologiques et sont fréquemment décrits dans les cancers.Dans ce travail, nous proposons des algorithmes et des méthodes pour la caractérisation et l'annotation des transcriptomes. Tout d'abord, nous proposons une étude statistique sur la DGE afin d'évaluer l'impact des erreurs de séquences lors de l'analyse des reads. À partir de cette analyse, nous avons développé un pipeline d'annotation pour la DGE. Par le biais de ce premier travail, nous avons pu démontrer que de nombreuses informations étaient partagées entre les reads. Cela nous a amené à concevoir la structure d'indexation Gk arrays qui permet d'organiser une quantité massive de reads de façon à pouvoir interroger rapidement la structure sous forme de requêtes. Enfin, en s'appuyant sur les Gk arrays, nous avons développé CRAC qui est un logiciel spécialisé dans le traitement du RNA-Seq. En intégrant sa propre phase de mapping, CRAC est capable de distinguer les phénomènes biologiques des erreurs de séquences. Ilpermet notamment l'identification de chimères qui sont souvent très faiblement exprimées dans un transcriptome et sont par nature complexe à détecter avec des parties localisées à différents endroits sur le génome. / Since their introduction, high-throughput sequencers have revolutionized transcriptomic studies at genome scale. Indeed, they have the ability to generate millions, or even billions of short sequences, called reads. New transcriptomic approaches, such as Digital Gene Expression (DGE) and RNA-sequencing (RNA-Seq), enable the identification, quantification, and reconstitution of all transcripts of the cell, even rare ones. Among these transcripts are regulatory non-coding RNAs, alternative splice variants, which code for novel proteins, but also non colinear transcripts termed chimeras (generated by either gene fusion or trans-splicing). The characterization of these transcripts constitutes a sheer algorithmic,but also a biological challenge due to their differences in nature, their diverse implications in physiological and cellular processes, and for some their role in cancer development.In this work, we focus on algorithms and methods for the characterization and annotation of transcriptomes. First, we proposed a statistical study on DGE to assess the impact of sequence errors on the analysis. Therefrom, we developed a pipeline for the DGE annotation. Through this initial work,we demonstrated that a lot of information is shared between the reads. This property led us to design, the Gk arrays, an indexing data structure for organizing huge amounts of reads in memory and algorithms to quickly query this structure. Finally, based on the Gk arrays we have conceived, CRAC,a software specialised in the RNA-Seq processing. By integrating its own mapping process, CRAC is able to distinguish the biological phenomena from sequence errors. Moreover, it allows to identify chimeric RNAs, which may be weakly expressed in a transcriptome and are inherently complex to detect since their fragments originate from different places on the genome.

In this paper we will deal involving short-wave radio station and its control by the sequencer. Mostly it will be a time delay of the PA and the antenna switching relay in the transmitter (TX) to receiver (RX) side. Time delays will be controlled programmatically using ATmega 16 microprocessor, which will form part of the main control sequencer. The delay will set the total time of keying in messages, when we take into account the loss due to delayed first symbol. Keying will be done from several sources, among the main sources will be ordered from keying the radio, telegraph keys, and PC. The transmission signal is used amplitude modulation (SSB) in the CB zone.