827 resultados para SQL Server


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La tesi è incentrata sullo studio e sulla progettazione di un dispositivo wireless di feedback tattile per un sistema di ausilio per non vedenti o ipovedenti. Il dispositivo composto da micro motori vibranti avvisa l'utente di imminenti ostacoli nel suo cammino. La rilevazione degli ostacoli è opera del visore, un sistema composto da una videocamera stereo, con elaborazione su FPGA, collegata ad un Odroid-U3. Viene trattato anche lo sviluppo di un'applicazione server, con relativa libreria di funzioni, che permette al visore di comunicare con dispositivi iOS esterni. Quest'ultima parte è avvenuta in collaborazione con il collega Luca Ranalli che si è occupato dell' App client per smartphone e tablet iOS.

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Progetto di un sistema software - integrato in un apparato di supervisione industriale - dedicato alla personalizzazione e alla generazione automatica di file di definizione di report basati su database SQL.

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Il progetto di tesi ha il compito di far comunicare un device mobile con un apparato elettromedicale tramite tecnologia bluetooth low energy. Il paziente ha a disposizione questo apparato per misurarsi l'elettrocardiogramma autonomamente e poi, tramite l'uso dell'app, vengono mostrati i risultati ottenuti dalla misurazione. Una volta inviati i dati dal dispositivo elettromedicale all'app, questi vengono anche inoltrati a un server dove saranno sottoposti a controlli, da parte del medico curante.

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La tesi si occupa della creazione di una piattaforma virtuale, composta da un sito web e da una applicazione Android, a supporto di persone con handicap motori. La piattaforma e composta da una mappa interattiva che permette agli utenti di inserire nuovi locali o di commentarne esistenti, e di fare lo stesso per le barriere architettoniche. Per questi motivi il progetto e dettato da una continua comunicazione tra client e server, rendendo la piattaforma aggiornata e dinamica, anche alla vista degli utenti. La parte web viene implementata attraverso Spring MVC, utilizzando delle View .jsp ed AJAX per la comunicazione remota con il server. La parte mobile e stata implementata basandosi principalmente sulle classi di geolocalizzazione di Android, oltre alle librerie osmdroid ed osmbonuspack, fornendo compatitiblita con OSM. Questa fornisce anche un servizio di calcolo del percorso, cercando di evitare il numero maggiore di ostacoli. L'applicazione Android appoggia le proprie comunicazioni sulla libreria Robospice. La parte di persistenza e stata implementata adottando un approccio ad alto livello, grazie ad Hibernate e JPA.

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Nell’ambito di questo lavoro di tesi è stata progettata e realizzata un'applicazione di edutainment, pensata per essere fruita attraverso dispositivi mobili, da parte di studenti delle scuole medie, con l’obiettivo di esercitare e migliorare le capacità logiche e di problem solving. La tesi descrive il contesto educativo e scolastico in relazione alla presenza delle tecnologie dell'informazione e della comunicazione, ed infine mostra come una componente di intrattenimento possa essere utile nei processi di apprendimento. Lo sviluppo dell’applicazione è basato sulla progettazione di applicazioni ibride, usando come framework di sviluppo Apache Cordova, quindi attraverso tecnologie web-based, con un’architettura client-server, in cui la parte client gestisce l’interfaccia grafica e le interazioni logiche mentre la parte server viene sfruttata esclusivamente come contenitore di informazioni.

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La tesi consiste nello studiare e sviluppare servizi multimediali in sistemi di CrowdSensing, nello specifico si vuole sviluppare un sistema che permetta il trasferimento da client a server di file multimediali come il video nel sistema Participact dell'universita di Bologna.

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SMARTDIAB is a platform designed to support the monitoring, management, and treatment of patients with type 1 diabetes mellitus (T1DM), by combining state-of-the-art approaches in the fields of database (DB) technologies, communications, simulation algorithms, and data mining. SMARTDIAB consists mainly of two units: 1) the patient unit (PU); and 2) the patient management unit (PMU), which communicate with each other for data exchange. The PMU can be accessed by the PU through the internet using devices, such as PCs/laptops with direct internet access or mobile phones via a Wi-Fi/General Packet Radio Service access network. The PU consists of an insulin pump for subcutaneous insulin infusion to the patient and a continuous glucose measurement system. The aforementioned devices running a user-friendly application gather patient's related information and transmit it to the PMU. The PMU consists of a diabetes data management system (DDMS), a decision support system (DSS) that provides risk assessment for long-term diabetes complications, and an insulin infusion advisory system (IIAS), which reside on a Web server. The DDMS can be accessed from both medical personnel and patients, with appropriate security access rights and front-end interfaces. The DDMS, apart from being used for data storage/retrieval, provides also advanced tools for the intelligent processing of the patient's data, supporting the physician in decision making, regarding the patient's treatment. The IIAS is used to close the loop between the insulin pump and the continuous glucose monitoring system, by providing the pump with the appropriate insulin infusion rate in order to keep the patient's glucose levels within predefined limits. The pilot version of the SMARTDIAB has already been implemented, while the platform's evaluation in clinical environment is being in progress.

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Besnoitia besnoiti is an apicomplexan parasite responsible for bovine besnoitiosis, a disease with a high prevalence in tropical and subtropical regions and re-emerging in Europe. Despite the great economical losses associated with besnoitiosis, this disease has been underestimated and poorly studied, and neither an effective therapy nor an efficacious vaccine is available. Protein disulfide isomerase (PDI) is an essential enzyme for the acquisition of the correct three-dimensional structure of proteins. Current evidence suggests that in Neosporacaninum and Toxoplasmagondii, which are closely related to B. besnoiti, PDI play an important role in host cell invasion, is a relevant target for the host immune response, and represents a promising drug target and/or vaccine candidate. In this work, we present the nucleotide sequence of the B. besnoiti PDI gene. BbPDI belongs to the thioredoxin-like superfamily (cluster 00388) and is included in the PDI_a family (cluster defined cd02961) and the PDI_a_PDI_a'_c subfamily (cd02995). A 3D theoretical model was built by comparative homology using Swiss-Model server, using as a template the crystallographic deduced model of Tapasin-ERp57 (PDB code 3F8U chain C). Analysis of the phylogenetic tree for PDI within the phylum apicomplexa reinforces the close relationship among B. besnoiti, N. caninum and T. gondii. When subjected to a PDI-assay based on the polymerisation of reduced insulin, recombinant BbPDI expressed in E. coli exhibited enzymatic activity, which was inhibited by bacitracin. Antiserum directed against recombinant BbPDI reacted with PDI in Western blots and by immunofluorescence with B. besnoiti tachyzoites and bradyzoites.

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The spectacular advances computer science applied to geographic information systems (GIS) in recent times has favored the emergence of several technological solutions. These developments have given rise to enormous opportunities for digital management of the territory. Among the technological solutions, the most famous Google Maps offers free online mapping dynamic exhaustive of the Maps. In addition to meet the enormous needs of urban indicators geotagged information, we did work on this project “Integration of an urban observatory on Google Maps.” The problem of geolocation in the urban observatory is particularly relevant in the sense that there is currently no data (descriptive and geographical) reliable on the urban sector; we must stick to extrapolate from data old and obsolete. This helps to curb the effectiveness of urban management to make difficult investment programming and to prevent the acquisition of knowledge to make cities engines of growth. The use of a geolocation tool coupled to the data would allow better monitoring of indicators Our project's objective is to develop an interactive map server (WebMapping) which map layer is formed from the resources of the Google Maps servers and match information from the field to produce maps of urban equipment and infrastructure of a city data to the client's request To achieve this goal, we will participate in a study of a GPS location of strategic sites in our core sector (health facilities), on the other hand, using information from the field, we will build a postgresql database that will link the information from the field to map from Google Maps via KML scripts and PHP appropriate. We will limit ourselves in our work to the city of Douala Cameroon with the sectors of health facilities with the possibility of extension to other areas and other cities. Keywords: Geographic Information System (GIS), Thematic Mapping, Web Mapping, data mining, Google API.

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This article reports about the internet based, second multicenter study (MCS II) of the spine study group (AG WS) of the German trauma association (DGU). It represents a continuation of the first study conducted between the years 1994 and 1996 (MCS I). For the purpose of one common, centralised data capture methodology, a newly developed internet-based data collection system ( http://www.memdoc.org ) of the Institute for Evaluative Research in Orthopaedic Surgery of the University of Bern was used. The aim of this first publication on the MCS II was to describe in detail the new method of data collection and the structure of the developed data base system, via internet. The goal of the study was the assessment of the current state of treatment for fresh traumatic injuries of the thoracolumbar spine in the German speaking part of Europe. For that reason, we intended to collect large number of cases and representative, valid information about the radiographic, clinical and subjective treatment outcomes. Thanks to the new study design of MCS II, not only the common surgical treatment concepts, but also the new and constantly broadening spectrum of spine surgery, i.e. vertebro-/kyphoplasty, computer assisted surgery and navigation, minimal-invasive, and endoscopic techniques, documented and evaluated. We present a first statistical overview and preliminary analysis of 18 centers from Germany and Austria that participated in MCS II. A real time data capture at source was made possible by the constant availability of the data collection system via internet access. Following the principle of an application service provider, software, questionnaires and validation routines are located on a central server, which is accessed from the periphery (hospitals) by means of standard Internet browsers. By that, costly and time consuming software installation and maintenance of local data repositories are avoided and, more importantly, cumbersome migration of data into one integrated database becomes obsolete. Finally, this set-up also replaces traditional systems wherein paper questionnaires were mailed to the central study office and entered by hand whereby incomplete or incorrect forms always represent a resource consuming problem and source of error. With the new study concept and the expanded inclusion criteria of MCS II 1, 251 case histories with admission and surgical data were collected. This remarkable number of interventions documented during 24 months represents an increase of 183% compared to the previously conducted MCS I. The concept and technical feasibility of the MEMdoc data collection system was proven, as the participants of the MCS II succeeded in collecting data ever published on the largest series of patients with spinal injuries treated within a 2 year period.

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Linear programs, or LPs, are often used in optimization problems, such as improving manufacturing efficiency of maximizing the yield from limited resources. The most common method for solving LPs is the Simplex Method, which will yield a solution, if one exists, but over the real numbers. From a purely numerical standpoint, it will be an optimal solution, but quite often we desire an optimal integer solution. A linear program in which the variables are also constrained to be integers is called an integer linear program or ILP. It is the focus of this report to present a parallel algorithm for solving ILPs. We discuss a serial algorithm using a breadth-first branch-and-bound search to check the feasible solution space, and then extend it into a parallel algorithm using a client-server model. In the parallel mode, the search may not be truly breadth-first, depending on the solution time for each node in the solution tree. Our search takes advantage of pruning, often resulting in super-linear improvements in solution time. Finally, we present results from sample ILPs, describe a few modifications to enhance the algorithm and improve solution time, and offer suggestions for future work.

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In this thesis I have tried to determine the suit­able temperature, time and the amount of soda ash and lime needed for the calcining process. The leaching and purification tests were studied experimentally. The earlier process for making chromate from chromite was not the same as is used today. There­fore I have found it useful to put into this thesis the newest method for making chromate salts and their important uses.

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In this thesis, I study skin lesion detection and its applications to skin cancer diagnosis. A skin lesion detection algorithm is proposed. The proposed algorithm is based color information and threshold. For the proposed algorithm, several color spaces are studied and the detection results are compared. Experimental results show that YUV color space can achieve the best performance. Besides, I develop a distance histogram based threshold selection method and the method is proven to be better than other adaptive threshold selection methods for color detection. Besides the detection algorithms, I also investigate GPU speed-up techniques for skin lesion extraction and the results show that GPU has potential applications in speeding-up skin lesion extraction. Based on the skin lesion detection algorithms proposed, I developed a mobile-based skin cancer diagnosis application. In this application, the user with an iPhone installed with the proposed application can use the iPhone as a diagnosis tool to find the potential skin lesions in a persons' skin and compare the skin lesions detected by the iPhone with the skin lesions stored in a database in a remote server.