Sistema per gestionar les incidències d'un servei d'informàtica amb una arquitectura J2EE distribuïda en tres nivells

Tant en la meva etapa d’estudiant com en la meva curta vida laboral, he participat en el desenvolupament de varies aplicacions de gestió, tant d’escriptori com web, que majoritàriament sempre estaven dividides en tres capes però en dos nivells: la base de dades i l’aplicació, que contenia tant la lògica de negoci com la vista. Des de fa temps he tingut la curiositat i la necessitat d’intentar desenvolupar una aplicació de gestió que estigui distribuïda en tres o més nivells, separant el model de dades i la lògica de negoci de la vista. Crec que el treball de fi de carrera és idoni per desenvolupar-la. L’aplicació a desenvolupar anirà destinada a la gestió d’un servei d’informàtica, que s’encarrega de resoldre les incidències, inventariar i realitzar el manteniment preventiu dels equips informàtics d’una o de varies empreses. Es crearà una aplicació que contindrà el model de dades i la lògica de negoci. També es crearan dues aplicacions clients: una aplicació d’escriptori que donarà accés a totes i cadascuna de les funcionalitats del sistema i una aplicació web que oferirà un accés lleuger i des de qualsevol ubicació a les funcionalitats d’explotació del sistema. Per últim, també es crearà una altre aplicació web que s’encarregarà de generar els llistats sol•licitats per les dues aplicacions clients. D’aquesta manera també es centralitzarà la gestió dels llistats de les aplicacions del sistema. Per desenvolupar el sistema, s’utilitzarà la plataforma J2EE de Java, i es comptarà amb l’ajuda de marcs de treball com, per exemple, Oracle ADF o JasperReports. Com a conclusió general, puc assegurar que si es distribueixen les tres capes d’un sistema en tres nivells s’obtenen beneficis en l’administració, en el manteniment, en l’escalabilitat, en la flexibilitat i en la reutilització de les aplicacions. El principal inconvenient és el possible augment de lentitud en les aplicacions clients.

Aplicatiu per gestionar la informació administrativa, tècnica i comptable per una empresa constructora

Les tendencies del mercat actual i futur obliguen a les empreses a ser cada vegada més competitives. Tota empresa que desitgi competir en el mercat actual ha de considerar la informació com un dels seus principals actius. Per aquesta raó, és necessari que l’empresa disposi dels sistemes d’informació adequats per ser gestionada. En les pimes ( petites i mitjanes empreses ), i en la majoria dels casos, la seva informació es troba repartida en diversos aplicatius informàtifcs. Això comporta principalment una duplicitat de dades, costos de manteniment i possibles errades en la informació. Dins del sector de les pimes, es troben empreses contructores d’un volum petit o mig, les quals enmagatzemen molta informació tècnica i de planificació per desemvolupar els seus projectes. Aquesta necessitat els hi suposa, tenir un aplicatiu eficient per la gestió i seguiment de la producció de les seves tasques i per altra banda l’aplicatiu necessari com qualsevol pime a nivell administratiu i comptable. L’objectiu principal d’aquest treball és generar un aplicatiu que integri la informació administrativa, comptable i tècnica per una empresa constructora. Amb l’assoliment d’aquest objectiu l’empresa constructora guanya temps en l’entrada i accés a les dades, evita la seva duplicitat i redueix el seu manteniment. En resum, redueix els costos de l’empresa i augmenta la seva seguretat en la informació. Un el mercat, existeixen aplicatius anomenats ERP ( Enterprise resource planning o sistemes de planificació de recursos ) els quals la seva gran virtud es la integració de les dades. Aprofitant aquests aplicatius i seleccionant-ne el més adequat, s’ha generat la part de gestió i planificació necessària per l’empresa constructora integrant-la i personalitzant-la en els processos existents de l’aplicació ( comptabilitat, ventes, compres, recursos humans, magatzems, etc… ) Entre les conclusions més rellevants obtingudes en aquest treball, voldriem destacar la millora i reducció d’entrada, accés i manteniment de la informació, l’històric que proporciona l’eina i per tan la millora de la gestío i planificació de l’empresa.

Chemotaxonomy of three genera of the annonaceae family using self-organizing maps and 13C NMR data of diterpenes

The Annonaceae family is distributed throughout Neotropical regions of the world. In Brazil, it covers nearly all natural formations particularly Annona, Xylopia and Polyalthia and is characterized chemically by the production of sources of terpenoids (mainly diterpenes), alkaloids, steroids, polyphenols and, flavonoids. Studies from 13C NMR data of diterpenes related with their botanical occurrence were used to generate self-organizing maps (SOM). Results corroborate those in the literature obtained from morphological and molecular data for three genera and the model can be used to project other diterpenes. Therefore, the model produced can predict which genera are likely to contain a compound.

Oceanografia e Química: unindo conhecimentos em prol dos oceanos e da sociedade

The marine environment is certainly one of the most complex systems to study, not only because of the challenges posed by the nature of the waters, but especially due to the interactions of physical, chemical and biological processes that control the cycles of the elements. Together with analytical chemists, oceanographers have been making a great effort in the advancement of knowledge of the distribution patterns of trace elements and processes that determine their biogeochemical cycles and influences on the climate of the planet. The international academic community is now in prime position to perform the first study on a global scale for observation of trace elements and their isotopes in the marine environment (GEOTRACES) and to evaluate the effects of major global changes associated with the influences of megacities distributed around the globe. This action can only be performed due to the development of highly sensitive detection methods and the use of clean sampling and handling techniques, together with a joint international program working toward the clear objective of expanding the frontiers of the biogeochemistry of the oceans and related topics, including climate change issues and ocean acidification associated with alterations in the carbon cycle. It is expected that the oceanographic data produced this coming decade will allow a better understanding of biogeochemical cycles, and especially the assessment of changes in trace elements and contaminants in the oceans due to anthropogenic influences, as well as its effects on ecosystems and climate. Computational models are to be constructed to simulate the conditions and processes of the modern oceans and to allow predictions. The environmental changes arising from human activity since the 18th century (also called the Anthropocene) have made the Earth System even more complex. Anthropogenic activities have altered both terrestrial and marine ecosystems, and the legacy of these impacts in the oceans include: a) pollution of the marine environment by solid waste, including plastics; b) pollution by chemical and medical (including those for veterinary use) substances such as hormones, antibiotics, legal and illegal drugs, leading to possible endocrine disruption of marine organisms; and c) ocean acidification, the collateral effect of anthropogenic emissions of CO2 into the atmosphere, irreversible in the human life time scale. Unfortunately, the anthropogenic alteration of the hydrosphere due to inputs of plastics, metal, hydrocarbons, contaminants of emerging concern and even with formerly "exotic" trace elements, such us rare earth elements is likely to accelerate in the near future. These emerging contaminants would likely soon present difficulties for studies in pristine environments. All this knowledge brings with it a great responsibility: helping to envisage viable adaptation and mitigation solutions to the problems identified. The greatest challenge faced by Brazil is currently to create a framework project to develop education, science and technology applied to oceanography and related areas. This framework would strengthen the present working groups and enhance capacity building, allowing a broader Brazilian participation in joint international actions and scientific programs. Recently, the establishment of the National Institutes of Science and Technology (INCTs) for marine science, and the creation of the National Institute of Oceanographic and Hydrological Research represent an exemplary start. However, the participation of the Brazilian academic community in the latest assaults on the frontier of chemical oceanography is extremely limited, largely due to: i. absence of physical infrastructure for the preparation and processing of field samples at ultra-trace level; ii. limited access to oceanographic cruises, due to the small number of Brazilian vessels and/or absence of "clean" laboratories on board; iii. restricted international cooperation; iv. limited analytical capacity of Brazilian institutions for the analysis of trace elements in seawater; v. high cost of ultrapure reagents associated with processing a large number of samples, and vi. lack of qualified technical staff. Advances in knowledge, analytic capabilities and the increasing availability of analytical resources available today offer favorable conditions for chemical oceanography to grow. The Brazilian academic community is maturing and willing to play a role in strengthening the marine science research programs by connecting them with educational and technological initiatives in order to preserve the oceans and to promote the development of society.

Data Consistency by a Metadata Management Solution

This thesis consists of three main theoretical themes: quality of data, success of information systems, and metadata in data warehousing. Loosely defined, metadata is descriptive data about data, and, in this thesis, master data means reference data about customers, products etc. The objective of the thesis is to contribute to an implementation of a metadata management solution for an industrial enterprise. The metadata system incorporates a repository, integration, delivery and access tools, as well as semantic rules and procedures for master data maintenance. It targets to improve maintenance processes and quality of hierarchical master data in the case company’s informational systems. That should bring benefits to whole organization in improved information quality, especially in cross-system data consistency, and in more efficient and effective data management processes. As the result of this thesis, the requirements for the metadata management solution in case were compiled, and the success of the new information system and the implementation project was evaluated.

Lappeenrannan seudun opiskelija-asuntosäätiön sähköisten palveluiden käytettävyyden ja vaikuttavuuden kehittäminen

Sähköiset palvelut ovat tulleet keskeiseksi osaksi Lappeenrannan seudun opiskelija-asuntosäätiön (LOAS) sisäistä ja ulkoista tiedottamista. Tiedon nopea saatavuus ja yksinkertainen käytettävyys ovat avainasemassa kehitettäessä uusia järjestelmiä. Uuden sukupolven käyttäjät ovat tottuneet tiedon saatavuuden helppouteen, joten tiedon tulee olla selkeästi esillä ja siihen on päästävä käsiksi nopeasti. Diplomityön tavoitteena oli tutkia ja kehittää LOAS:n sisäisiä ja ulospäin asiakkaille tarjottavia sähköisiä palveluita. Kehitettävät palvelut olivat intranet, Internet-sivut ja Maestro Opas-asiakashallinta. LOAS:n palvelut on hajautettu usean eri ohjelman välille, joten se aiheuttaa ongelmia informaation siirrossa järjestelmien välillä. Työssä sähköisten palveluiden käytettävyyttä parannettiin lyhentämällä polkuja ja koostamalla palveluita kokonaisuuksiksi. Työn lopputuloksena LOAS:llä on käytössään yksinkertaisemmat Internet-sivut ja selkeämpi intranet-näkymä. Palveluiden käytettävyyden ja vaikuttavuuden arviointi suoritettiin itsenäisenä perehtymisenä ongelmakohtiin ja henkilöhaastatteluina. Haastatteluilla kartoitettiin käyttäjien palvelun tarpeita, jonka avulla kehitettävät kohteet pystyttiin määrittelemään. Palveluiden käytettävyyttä parantamalla asukkaita pyritään ohjaamaan tarjottavien palveluiden piiriin. Tällöin asukkaille tarjottavien palveluiden laatua pystytään parantamaan. LOAS:n tulisi kuitenkin tarkastella erilaisia ratkaisuja toimintojen yhdistämiseen. Tämän avulla asukkaiden kaikki liikkuminen pystyttäisiin käsittelemään yhden ohjelman avulla.

Vocalization data mining for estimating swine stress conditions

This study aimed to identify differences in swine vocalization pattern according to animal gender and different stress conditions. A total of 150 barrow males and 150 females (Dalland® genetic strain), aged 100 days, were used in the experiment. Pigs were exposed to different stressful situations: thirst (no access to water), hunger (no access to food), and thermal stress (THI exceeding 74). For the control treatment, animals were kept under a comfort situation (animals with full access to food and water, with environmental THI lower than 70). Acoustic signals were recorded every 30 minutes, totaling six samples for each stress situation. Afterwards, the audios were analyzed by Praat® 5.1.19 software, generating a sound spectrum. For determination of stress conditions, data were processed by WEKA® 3.5 software, using the decision tree algorithm C4.5, known as J48 in the software environment, considering cross-validation with samples of 10% (10-fold cross-validation). According to the Decision Tree, the acoustic most important attribute for the classification of stress conditions was sound Intensity (root node). It was not possible to identify, using the tested attributes, the animal gender by vocal register. A decision tree was generated for recognition of situations of swine hunger, thirst, and heat stress from records of sound intensity, Pitch frequency, and Formant 1.

Customer satisfaction data utilization: identifying value drivers and information use practices

The objective of this master’s thesis was twofold: first to examine the concept of customer value and its drivers and second to identify information use practices. The first part of the study represents explorative research that was carried out by examining a case company’s customer satisfaction data that was used to identify sales and technical customer service related value drivers on a detailed attribute level. This was followed by an examination of whether these attributes had been commented on in a positive or a negative light and what were the reasons why the case company had received higher or lower ratings than its competitor. As a result a classification of different sales and technical customer service related attributes was created. The results indicated that the case company has performed well, but that the results varied on the company’s business segment level. The case company’s staff, service and the benefits from a long-lasting relationship came up in a positive light whereas attitude, flexibility and reaction time came up in a negative light. The reasons for a higher or lower score in comparison to competitor varied. The results indicated that a customer’s satisfaction with the company’s performance did not always mean that the company was outperforming the competition. The second part of the study focused on customer satisfaction information use from the viewpoints of information access, dissemination and reaction. The study was conducted by running an internal survey among the case company’s staff. The results showed that information use practices varied across the company and some units or teams had taken a more proactive approach to the information use than others.

Implementing an open data system and showing its benefits

Open data refers to publishing data on the web in machine-readable formats for public access. Using open data, innovative applications can be developed to facilitate people‟s lives. In this thesis, based on the open data cases (discussed in the literature review), Open Data Lappeenranta is suggested, which publishes open data related to opening hours of shops and stores in Lappeenranta City. To prove the possibility of creating Open Data Lappeenranta, the implementation of an open data system is presented in this thesis, which publishes specific data related to shops and stores (including their opening hours) on the web in standard format (JSON). The published open data is used to develop web and mobile applications to demonstrate the benefits of open data in practice. Also, the open data system provides manual and automatic interfaces which make it possible for shops and stores to maintain their own data in the system. Finally in this thesis, the completed version of Open Data Lappeenranta is proposed, which publishes open data related to other fields and businesses in Lappeenranta beyond only stores‟ data.

Neutron tomography using projection data obtained by Monte Carlo simulation for nondestructive evaluation

This work present the application of a computer package for generating of projection data for neutron computerized tomography, and in second part, discusses an application of neutron tomography, using the projection data obtained by Monte Carlo technique, for the detection and localization of light materials such as those containing hydrogen, concealed by heavy materials such as iron and lead. For tomographic reconstructions of the samples simulated use was made of only six equal projection angles distributed between 0º and 180º, with reconstruction making use of an algorithm (ARIEM), based on the principle of maximum entropy. With the neutron tomography it was possible to detect and locate polyethylene and water hidden by lead and iron (with 1cm-thick). Thus, it is demonstrated that thermal neutrons tomography is a viable test method which can provide important interior information about test components, so, extremely useful in routine industrial applications.

Video transcoding in a distributed cloud computing environment

Video transcoding refers to the process of converting a digital video from one format into another format. It is a compute-intensive operation. Therefore, transcoding of a large number of simultaneous video streams requires a large amount of computing resources. Moreover, to handle di erent load conditions in a cost-e cient manner, the video transcoding service should be dynamically scalable. Infrastructure as a Service Clouds currently offer computing resources, such as virtual machines, under the pay-per-use business model. Thus the IaaS Clouds can be leveraged to provide a coste cient, dynamically scalable video transcoding service. To use computing resources e ciently in a cloud computing environment, cost-e cient virtual machine provisioning is required to avoid overutilization and under-utilization of virtual machines. This thesis presents proactive virtual machine resource allocation and de-allocation algorithms for video transcoding in cloud computing. Since users' requests for videos may change at di erent times, a check is required to see if the current computing resources are adequate for the video requests. Therefore, the work on admission control is also provided. In addition to admission control, temporal resolution reduction is used to avoid jitters in a video. Furthermore, in a cloud computing environment such as Amazon EC2, the computing resources are more expensive as compared with the storage resources. Therefore, to avoid repetition of transcoding operations, a transcoded video needs to be stored for a certain time. To store all videos for the same amount of time is also not cost-e cient because popular transcoded videos have high access rate while unpopular transcoded videos are rarely accessed. This thesis provides a cost-e cient computation and storage trade-o strategy, which stores videos in the video repository as long as it is cost-e cient to store them. This thesis also proposes video segmentation strategies for bit rate reduction and spatial resolution reduction video transcoding. The evaluation of proposed strategies is performed using a message passing interface based video transcoder, which uses a coarse-grain parallel processing approach where video is segmented at group of pictures level.