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Charakteristika reprodukčních vlastností hřebců působících v inseminaciKYRYANOVÁ, Alena January 2016 (has links)
One of the requirements for a successful insemination in horse breeding is the selection of quality stallions which produced ejaculate in enough quantities and of good quality. For this purpose were discovered methods of dealing with the evaluation of semen quality. In this dissertation was ejaculate evaluated by using an objective computerized method CASA, system SCA. Monitoring the quality of sperm was performed on 11 breeding stallions involved in artificial insemination fresh sperm in ZH Písek. 53 samples of ejaculate were evaluated. Volume, sperm concentration, total and progressive motility and sperm vitality were monitored. Volume of ejaculate was from 20 to 127.5 ml. Average values of sperm concentration for individual stallions were from 104.18 to 384.4 M/ml. Average values of total motility were moving by interval from 51.23 to 89.54 %. Average progressive motility was move from 12.99 to 47.12 %. At sperm vitality were discovered average results from 35.16 to 71.21 %. The average value of individual stallions was identical to the Decree of the Ministry of Agriculture, which sets minimum requirements for quality indicators for short-term preservation of semen. Also the quality of the semen of stallions was compared by age. The first group was made by stallions to 10 years old and the second group were older stallions. It was found that the younger stallions to 10 years had higher semen volume and greater sperm concentration. Stallions older over 10 years had higher levels of total and progressive motility and sperm vitality. Next ejaculate quality was evaluate by the time interval between samples. Regular taken from stallions is doing better ejaculate quality but the time interval between samples is important. The best values were found in samples with interval between the sampling 4 or more days. The worst quality of sperm was in the samples with the interval between 1-2 days.
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Forest thinning in VR : A VR application with the theme of forest thinningAstner, Thomas January 2018 (has links)
The purpose with this project was to create a virtual reality game were the users should be able to carry out a thinning. The main goals are to use real forests terrains as terrain models in the game, the GameObjects and the teleportation system in the application should be able to handle changing terrains and the application should not cause virtual reality sickness. The application has been developed with the help of the game engine Unity and plugins from Unitys own asset store. User tests and measurements will be carried out in order to evaluate if the game causes virtual reality sickness or not. The results shows that it is possible to use real forests terrains and that the solution is suited for this application. The downside is that in order to use real life terrains several steps has to be taken and that the terrain object has to be designed manually. It also shows that the GameObjects and the Teleportation system has been implemented in a way so they can handle changing terrains. Furthermore it shows that some of the functionalities of the application could be improved, especially the scoring system. The users tests and the measurements showed that the application isn't causing virtual reality sickness but it also showed that the users feels like there are things missing in the application
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O sistema MES como ferramenta para aplicação da gestão do conhecimento visando a melhoria do aprendizado de um sistema complexo adaptativo de manufatura sendo um atrator de melhoria do desempenho produtivoSandrini, Paulo de Tarso 24 July 2014 (has links)
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Previous issue date: 2014-07-24 / CAPES - Coordenação de Aperfeiçoamento de Pessoal de Nível Superior / The globalization of the economy has provided dynamic and
indeterministic market behaviors and has required business organizations,
particularly manufacturing commodities, greater ability to adapt to these
increasingly frequent changes.
Another factor to be considered in manufacturing organizations is the
decrease in profit margin due to higher competition in global market and
technological innovations. The profit to be made rests almost exclusively to the
management of the flow of the production process by streamlining operations and
reducing the lead-time of production.
In this context, it has demonstrated the inappropriateness of deterministic
and reductionist management models, assessing the behavior of the system as
the sum of the conduct of the parties, through linear relationships between the
guidelines established by management and the expected results of the production
operation. This is equivalent to a view that, in taking up a production plan that can
be accomplished by the availability of raw materials and production resources,
machinery and manpower become simply a matter of implementation and
monitoring of the plan of production.
What has been found is that the systemic behavior of such organizations
is described by interactions between its internal and external parties, where many
of these interactions have ordered and non-ordered features simultaneously.
Moreover, they are very dependent on the initial conditions for the realization of
your planning.
It is also observed that these behavioral characteristics of the
manufacturing organization can be described as typical of Complex Adaptive
Systems (CAS). For these organizations the representative system of the
production process is a subsystem of the business organization and can be
described as an SCA.
In the manufacturing system, parties are formed by agents that have
interactions with each other and with the productive environment differently, ie,
the interaction of the agents of production differs from the agents of quality in
relation to the production environment. The actions of these interactions are
complex and ordered and non-ordered while allowing to establish a linear
relationship between causes and effects. In this context of complexity, the
production system proves more creative and able to adapt in the face of internal
and external environment changes.
Knowledge management applied systemically through information
technology, called MES (Manufacturing Execution Systems), can increase the
learning capacity of the system resulting in increased productivity and profitability
of the production process evaluated by performance indicators.
It will be demonstrated in this dissertation, the fact that knowledge
management can establish a better definition of efficient and effective operational
actions, from the extraction of tacit knowledge, obtained through interactions with
the productive environment, transformed into explicit knowledge and disseminated
among other agents.
The MES will assist in broadening the perception of the production
environment and structured description of the procedures related to the explicit knowledge and also to disseminate knowledge to mitigate losses. The consistency
of actions will establish the identity of the organization and consequently its ability
to adapt and self-organization. / A globalização da economia tem apresentado comportamentos
mercadológicos dinâmicos e indeterminísticos e tem exigido das organizações
empresariais, particularmente as de manufatura de commodities, uma maior
capacidade de adaptação a essas mudanças cada vez mais frequentes.
Outro fator a ser considerado nas organizações de manufatura é o
decréscimo da margem de rentabilidade em função da maior competição no
mercado globalizado e das inovações tecnológicas. O lucro a ser obtido cabe
quase que exclusivamente à gestão do fluxo do processo produtivo através do
enxugamento das operações e a redução do tempo de atravessamento de
produção.
Neste contexto, se tem demonstrada a inadequação de modelos de
gestão determinísticos e reducionistas, que avaliam o comportamento do sistema
como a somatória dos comportamentos das partes, através de relações lineares
entre as diretrizes estabelecidas pela gestão e os resultados esperados da
operação da produção. Isto equivale a ter uma visão de que, em se tendo um
plano de produção que possa ser atendido pela disponibilidade de matéria prima
e recursos produtivos, máquinas e mão de obra passam a ser, simplesmente,
uma questão de execução e acompanhamento do referido plano de produção.
O que se tem constatado é que os comportamentos sistêmicos de tais
organizações se descrevem pelas interações entre suas partes internas e
externas, onde muitas dessas interações apresentam características ordenadoras
e desordenadoras simultaneamente. Além disso, elas são muito dependentes das
condições iniciais para a realização de seu planejamento.
Observa-se também que essas características comportamentais da
organização de manufatura podem ser descritas como típicas dos Sistemas
Complexos Adaptativos (SCA). Para estas organizações o sistema representativo
do processo produtivo é um subsistema da organização empresarial e pode ser
descrito como um SCA.
No sistema de manufatura, as partes são formadas por agentes que
apresentam interações entre si e com o ambiente produtivo de forma
diferenciada, isto é, a interação dos agentes de produção difere da dos agentes
de qualidade em relação ao ambiente produtivo. As ações dessas interações são
complexas e ordenadoras e desordenadoras simultaneamente não permitindo
estabelecer uma relação de linearidade entre causas e efeitos. Nesse contexto de
complexidade, o sistema produtivo se mostra mais criativo e capaz de se adaptar
diante das mudanças internas e externas do ambiente.
A gestão do conhecimento aplicada de forma sistêmica através da
tecnologia de informação, denominada de MES (Manufacturing Execution
Systems), pode aumentar a capacidade de aprendizado do sistema resultando no
ganho de produtividade e rentabilidade do processo produtivo avaliadas por
indicadores de desempenho.
Será demonstrado nessa dissertação, o fato de que a gestão do
conhecimento pode estabelecer uma melhor definição das ações operacionais
eficazes e efetivas, a partir das extrações dos conhecimentos tácitos, obtidos
através das interações com o ambiente produtivo, transformados em
conhecimentos explícitos e disseminados entre os demais agentes.
O MES auxiliará na ampliação da percepção do ambiente produtivo e na descrição estruturada dos procedimentos correspondentes aos conhecimentos
explícitos e também para disseminar conhecimentos para atenuação das perdas.
A coerência das ações estabelecerá a identidade da organização e,
consequentemente sua capacidade de adaptação e auto-organização.
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Exploring IBM Integration DesignerEllström, Jonathan January 2017 (has links)
The interest for Business Process Management (BPM) is increasing in Sweden. Government agencies such as the Swedish Nation Board of Student Aid (CSN), the Swedish Companies Registration Office (Bolagsverket) and the Swedish Social Insurance Agency (Försäkringskassan) are implementing BPM into their organizations. Sogeti is an IT-consulting company that has employees that works at CSN with BPM, and one of the tools they use for integration is IBM Integration Designer. Since this technology is new and is gaining popularity, there is a need for increased knowledge about it. This thesis report explores the tool IBM Integration Designer, regarding its different ways to integrate with systems and compares the different options for exposing the integration solu- tions. By researching documentation from IBM, and by learning how to use the tool itself, knowledge could be acquired about IBM Integration Designer. The result was an implementation of the five different export bindings: SCA, HTTP, SOAP over HTTP, Enterprise JavaBeans (EJB) and Java Messaging Service (JMS), a comparison of these export bindings and finally a service in IBM Inte- gration Designer that accesses a database and uses an external SMS API to send text messages. The result has been satisfactory to the purpose of this project in giving insight into IBM Integration Designer, one of the popular tools for inte- grating BMP.
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RFID in Rail : RFID tracing of rail-borne cargoHolmlund, Gabriel January 2015 (has links)
SCA transports timber via rail from railway terminals in western Sweden to saw and/or pulp mills located on the east coast. Sometimes timber wagons are lost due to damages inflicted when loading the wagon. Wagons can also be decommissioned for maintenance conducted by the Swedish Transport Administration. Both situations are unpredictable and causes many types of problems. If the wagons could be automatically traced these problems could be predicted and pre-emptive actions could be taken. All wagons used by SCA are equipped with RFID tags and RFID readers are installed at the railway terminals. The purpose of this thesis is to equip the RFID readers with Internet access, collect the data read by the RFID readers and present this data in a single page web application. The actual data collection is done by an already existing system which pushes the train data to the back-end part of the application. The front-end part is made with a JavaScript framework named Ember.js and the back-end part is made with ASP .NET Web API and SQL Server. The application is finished and verified with various tests but is not put in production due to a negotiation delay between SCA with a third-party consultant.
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Exploring Supported Conversation with Familial Caregivers of Persons with Memory Impairment: A Pilot StudyWillis, Arielle 01 January 2016 (has links)
Teaching conversational strategies has been effective for a wide array of clients with acquired neurologic disorders and their caregivers. Research indicates positive results for Supported Conversation in adults with Aphasia (SCA) secondary to stroke. Applying this method to work with caregivers of persons with memory impairment could prove to be a valid intervention tool. This investigation will examine the applicability of SCA with persons with memory impairment and their familial caregivers. This pilot study is intended to create a conversation regarding SCA and its implementation with persons with memory impairment who still live in the community with their caregivers. Analysis between the pre-training and post-training scores showed a trend to wards significance for Time (F(1, 9) = 0.064), no significance for Measure (F(3, 9) = 0.558), and no significance for the interaction of Time*Measure (F(3, 9) = 0.276). The effect size for Time was 0.732, for Measure was 0.494 and for Time*Measure was 0.956.
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Supply chain agility responding to unprecedented changes: empirical evidence from the UK food supply chain during COVID-19 crisisDo, Q., Mishra, N., Wulandhari, N.B.I., Ramudhin, A., Sivarajah, Uthayasankar, Milligan, G. 02 May 2021 (has links)
Yes / Purpose: The COVID-19 outbreak has imposed extensive shocks embracing all stages of the food supply chain
(FSC). Although the magnitude is still unfolding, the FSC responds with remarkable speed, to mitigate the
disruptive consequences and sustain operations. This motivates us to investigate how operationalising supply
chain agility (SCA) practices has occurred amid the COVID-19 crisis and expectations for how those practices
could transform the supply chain in the post-COVID-19 era.
Design: Following an exploratory case-based design, we examine the various agile responses that three supply
chains (meat, fresh vegetables and bread) adopted and elaborate using the dynamic capability (DC) theoretical
lens.
Findings: First, the findings demonstrate how, in the wake of the COVID-19 pandemic, each affected case
pursued various agile responses through sensing and seizing capabilities. Sensing includes identifying and
assessing the relevant opportunities and threats associated with the specific supply chain context. Seizing
involves acquiring, combining and modifying the tangible and intangible resources at the firm and supply chain
levels. Second, supply chain transformation is likely if firms and their supply chain develop the sustaining
capability to ensure that the desirable changes outlast the crisis.
Originality: This study provides a novel and unique perspective on the role of SCA in crisis—in this case, the
pandemic. We synthesise the empirical stories of the agile responses in the FSC and elaborate on the DC
framework, to identify theoretical and practical implications. We establish the sustaining capability as the
missing DC capability for enabling transformation in the post-COVID-19 era.
Practical contribution: This study provides an actionable guide for practitioners to develop agile responses to
systemic changes in times of crisis and to sustain favourable changes so as to enable their outlasting the crisis. / Project 777742: EC H2020-MSCA-RISE-2017
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Analysis of Security Findings and Reduction of False Positives through Large Language ModelsWagner, Jonas 18 October 2024 (has links)
This thesis investigates the integration of State-of-the-Art (SOTA) Large Language Models
(LLMs) into the process of reassessing security findings generated by Static Application
Security Testing (SAST) tools. The primary objective is to determine whether LLMs are
able to detect false positives (FPs) while maintaining a high true positive (TP) rate, thereby
enhancing the efficiency and effectiveness of security assessments.
Four consecutive experiments were conducted, each addressing specific research questions.
The initial experiment, using a dataset of security findings extracted from the OWASP Bench-
mark, identified the optimal combination of context items provided by the SAST tool Spot-
Bugs, which, when used with GPT-3.5 Turbo, reduced FPs while minimizing the loss of
TPs. The second experiment, conducted on the same dataset, demonstrated that advanced
prompting techniques, particularly few-shot Chain-of-Thought (CoT) prompting combined
with Self-Consistency (SC), further improved the reassessment process. The third experiment
compared both proprietary and open-source LLMs on an OWASP Benchmark dataset about
one-fourth the size of the previously used dataset. GPT-4o achieved the highest performance,
detecting 80 out of 128 FPs without missing any TPs, resulting in a perfect TPR of 100% and
a decrease in FPR by 41.27 percentage points. Meanwhile, Llama 3.1 70B detected 112 out
of the 128 FPs but missed 10 TPs, resulting in a TPR of 94.94% and a reduction in FPR by
56.62 percentage points. To validate these findings in a real-world context, the approach was
applied to a dataset generated from the open-source project Mnestix using multiple SAST
tools. GPT-4o again emerged as the top performer, detecting 26 out of 68 FPs while only
missing one TP, resulting in a TPR decreased by 2.22 percentage points but simultaneously
an FPR decreased 37.57 percentage points.:Table of Contents IV
List of Figures VI
List of Tables VIII
List of Source Codes IX
List of Abbreviations XI
1. Motivation 1
2. Background 3
3. Related Work 17
4. Concept 31
5. Preparing a Security Findings Dataset 39
6. Implementing a Workflow 51
7. Identifying Context Items 67
8. Comparing Prompting Techniques 85
9. Comparing Large Language Models 101
10.Evaluating Developed Approach 127
11.Discussion 141
12.Conclusion 145
A. Appendix: Figures 147
A.1. Repository Directory Tree 148
A.2. Precision-Recall Curve of Compared Large Language Models 149
A.3. Performance Metrics Self-Consistency on Mnestix Dataset 150
B. Appendix: Tables 151
B.1. Design Science Research Concept 151
C. Appendix: Code 153
C.1. Pydantic Base Config Documentation 153
C.2. Pydantic LLM Client Config Documentation 155
C.3. LLM BaseClient Class 157
C.4. Test Cases Removed From Dataset 158
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Identifiera löv i skogar – Att lära en dator känna igen löv med ImageAINordqvist, My January 2019 (has links)
A current field of research today is machine learning because it can simplify everyday life for human beings. A functioning system that has learned specific tasks can make it easier for companies in both cost and time. A company who want to use machine learning is SCA, who owns and manages forests to produce products. They have a need to automate forest classification. In order to evaluate forests, and to plan forestry measures, the proportion of leafy tree that is not used in production must be determined. Today, manual work is required of people who have to investigate aerial photos to classify the tree types. This study investigates whether it is possible, through machine learning, to teach a computer to determine whether it is leaf or not in photographs. A program is constructed with the library ImageAI which receives methods for training and predicting information in images. It examines how the choice of neural network and the number of images affects the safety of the models and how reliable the models can be. Exercise time and hardware are also two factors that are investigated. The result shows that the neural network ResNet delivers the safest results and the more images the computer exercises, the safer the result. The final model is a ResNet model that has trained on 20,000 images and has 79,0 percent security. Based on 50 samples, the mean value for safety is 90,5 percent and the median is 99,6 percent. / Maskininlärning är idag ett aktuellt forskningsområde som kan förenkla vardagen för oss människor. Ett fungerande system som har lärt sig specifika uppgifter kan underlätta för företag i både kostnad och tid. Ett företag som vill använda maskininlärning är SCA, som äger och förvaltar skog för att producera produkter. De har behov av att automatisera klassificering av skog. För att värdera skogar, samt planera skogsåtgärder, måste andelen lövträd som inte används i produktionen bestämmas. Idag krävs det manuellt arbete av personer som måste undersöka flygfoton för att klassificera trädtyperna. Denna studie undersöker om det är möjligt, via maskininlärning, att lära en dator avgöra om det är löv eller inte i ortofoton. Ett program konstrueras med biblioteket ImageAI som erhåller metoder för att träna och förutsäga information i bilder. Det undersöks hur valet av neuralt nätverk och antalet bilder påverkar säkerheten för modellerna samt hur tillförlitlig modellerna kan bli. Träningstid och hårdvara är också två faktorer som studeras. Resultatet visar att neurala nätverket ResNet levererar säkrast resultat och desto fler bilder datorn tränar på, desto säkrare blir resultatet. Den slutgiltiga modellen är en ResNet-modell som tränat på 20 000 bilder och har 79,0 procents säkerhet. Utifrån 50 stickprov är medelvärdet för säkerheten 90,5 procent och medianen 99,6 procent.
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我國上市公司季盈餘時間數列特性之研究鄭素鄉, ZHENG, SOU-XIANG Unknown Date (has links)
無論是投資人和債權人之投資與授信決策或企業內部之規劃與控制,在其決策模式中
,會計盈餘常是一項重要因素。因此,檢查盈餘的時間數列特性不僅可瞭解盈餘產生
過程的統計特性,並且可據以預測未來的盈餘,本論文之目的即在研究我國上市公司
季盈餘時間數列特性,建立其時間數列模式。資料來源是利用台灣證券六易所上市公
司財務資料簡報,搜集整理民國六十五年第三季至民國七十七年第三季計41家上市
公司之49期季盈餘資料作為研究分析對象。利用BOX和JENKINS二人之時間數列分析
,即所謂自我迴歸整合移動平均模式,替我國上市公司季盈餘建立時間數列模式。由
於資料搜集之限制,無法進一步作預測比較分析。有關BOX-JENKINS 分析之計算,則
利用教育部電子計算機中心所提供之套裝軟體SCA-UTS。
研究結果發現:所認定41個個別B-J 模式中,以自我迴歸模式及混合自我迴歸移動
平均模式較多;此外,模式中包含季節性因素,顯示季報表之發佈也有其重要性。
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