Relevant bibliographies by topics / Model Analysi

Academic literature on the topic 'Model Analysi'

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Published: 14 March 2023

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Journal articles on the topic "Model Analysi"

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Śladowski, Grzegorz. "Selected cases of modeling and structural analysis of decision problems in the construction sector." Przegląd Budowlany 94, no. 1-2 (February 26, 2023): 98–102. http://dx.doi.org/10.5604/01.3001.0016.2710.

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This paper notes the important aspect of the modelingand structural analysi of problems in decision making. Againstclassical multi-criteria decision-making support methods,the presented approach considers different co-dependent externaland internal relations between criteria and decision alternatives,which is significant from the standpoint of the reality we aimto model. Essential structural modeling and analysis methodswere presented, and the entire discussion was backed by samplesof decision problems from the construction sector
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Sadanand, Vijaya Shetty, Kadagathur Raghavendra Rao Guruvyas, Pranav Prashantha Patil, Jeevan Janardhan Acharya, and Sharvani Gunakimath Suryakanth. "An automated essay evaluation system using natural language processing and sentiment analysi." International Journal of Electrical and Computer Engineering (IJECE) 12, no. 6 (December 1, 2022): 6585. http://dx.doi.org/10.11591/ijece.v12i6.pp6585-6593.

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<span lang="EN-US">An automated essay evaluation system is a machine-based approach leveraging long short-term memory (LSTM) model to award grades to essays written in English language. <a name="_Hlk108785338"></a>natural language processing (NLP) is used to extract feature representations from the essays. The LSTM network learns from the extracted features and generates parameters for testing and validation. The main objectives of the research include proposing and training an LSTM model using a dataset of manually graded essays with scores. Sentiment analysis is performed to determine the sentiment of the essay as either positive, negative or neutral. The twitter sample dataset is used to build sentiment classifier that analyzes the sentiment based on the student’s approach towards a topic. Additionally, each essay is subjected to detection of syntactical errors as well as plagiarism check to detect the novelty of the essay. The overall grade is calculated based on the quality of the essay, the number of syntactic errors, the percentage of plagiarism found and sentiment of the essay. The corrected essay is provided as feedback to the students. This essay grading model has gained an average quadratic weighted kappa (QWK) score of 0.911 with 99.4% accuracy for the sentiment analysis classifier.</span>
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Baehaqi, Ahmad. "Usulan Model Sistem Pengawasan Syariah Pada Perbankan Syariah Di indonesia." Jurnal Dinamika Akuntansi dan Bisnis 1, no. 2 (September 1, 2014): 119–33. http://dx.doi.org/10.24815/jdab.v1i2.3583.

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Supervision of Shariah compliance in the Islamic financial institutions is a DPS task This study analyzes and evaluates the compliance monitoring by taking the object of Islamic banking in Indonesia either approach or organizational systems approach. This study uses primary data in the form of interviews with 6 DPS on 6 BUS and secondary data from the report GCG 9 BUS 2011-2012. With inductive approach using content analysis and theoretical analysis, the results of this study indicate that the general practice of sharia compliance monitoring is still not optimal yet. Furthermore, this study proposes a model of supervision using a systems approach that aims to improve the supervision of such compliance. The model proposed in this study not only involve DPS, but also part of compliance, internal audit, and the audit committee of Islamic banking, as well as external audit and the Financial Services Authority (FSA) that acting as banking supervisor to replace BI.Supervision of Shariah compliance in the Islamic financial institutions is a DPS task This study analyzes and evaluates the compliance monitoring by taking the object of Islamic banking in Indonesia either approach or organizational systems approach. This study uses primary data in the form of interviews with 6 DPS on 6 BUS and secondary data from the report GCG 9 BUS 2011-2012. With inductive approach using content analysis and theoretical analysi, the results of this study indicate that the general practice of sharia compliance monitoring is still not optimal yet. Furthermore, this study proposes a model of supervision using a systems approach that aims to improve the supervision of such compliance. The model proposed in this study not only involve DPS, but also part of compliance, internal audit, and the audit committee of Islamic banking, as well as external audit and the Financial Services Authority (FSA) that acting as banking supervisor to replace BI.
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Emilia, Emilia, Erni Achmad, Purwaka H. Prihanto, and Candra Mustika. "Export Model of Four or More Wheeled Vehicles in Indonesia." JEJAK 15, no. 1 (March 2, 2022): 1–9. http://dx.doi.org/10.15294/jejak.v15i1.34156.

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In the case of Indonesia, manufacturers from abroad have collaborated with Indonesia by buil di ng t hei r own factories so that this is expected to help economic development in the country , but this doesn’t happen in 2020. In the contrary, since the Pandemic of Covid-19, the automotive industry, one of whi ch i s four -wheeled vehicles or cars, experienced a significant decline in exports. Therefore, the purpose of this research is to find out and analyze how the ratio of exports of four or more wheeled vehicles from Indonesia to the main destination countries, especially in the Southeast Asia region and t o di scover and analyze the effect of the exchange rate, population and gross domestic product on the Indonesian export s of four or more wheeled vehicles to main destination countries, especially in the Southeast Asian region. The methods used in this study are descriptive analysis using export ratio and quantitative analysi s using panel data regression. The results showed that based on the ratio of exports of four or more wheeled vehicles from Indonesia to the four main destination countries in Southeast Asi a, t he l argest was t he Philippines with an average of 0.25, followed by Thailand with an average of 0.11 followed by V iet nam with an average of 0.25. an average of 0.049 and finally Malaysia, which is an average of 0.041. The regression results show that the population and exchange rate variables have a significant positive effect while GDP has no significant effect on Indonesia's exports of four or more wheeled vehicles to the four main destination countries in Southeast Asia.
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Vladimir, Nikola, Ivan Lončar, Ivica Aničić, and Ivo Senjanović. "Prediction of Noise Performance of Ro-Ro Passenger Ship by the Hybrid Statistical Energy Analysi." Journal of Maritime & Transportation Science 2, Special edition 2 (April 2018): 29–45. http://dx.doi.org/10.18048/2018.00.29.

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Noise prediction on board Ro-Ro passenger ship with a capacity of 145 cars and 600 passengers has been performed by means of the hybrid Statistical Energy Analysis (SEA). A general commercial noise analysis software Designer-NOISE is used. Basic issues related to noise on board ships are described, with particular emphasis to regulatory framework. An outline of the used software is presented together with ship technical data and noise source overview. Noise model is described in details and results are presented for selected compartments both without and with sound insulation. In addition to standard noise prediction output, a sensitivity analysis of noise levels with respect to some design parameters (wall thickness, insulation type and thickness, etc.) has been performed. Finally, conclusions on noise performance of a ship are drawn.
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Shamout, Mohamed Dawood, Malek B. Elayan, Adnan M. Rawashdeh, Barween Al Kurdi, and Muhammad Alshurideh. "E-HRM practices and sustainable competitive advantage from HR practitioner’s perspective: A mediated moderation analysi." International Journal of Data and Network Science 6, no. 1 (2022): 165–78. http://dx.doi.org/10.5267/j.ijdns.2021.9.011.

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This paper seeks to investigate the impact of Electronic Human Resource Management (e-HRM) practices on attaining Sustainable Competitive Advantage (SCA) in the context of the Jordanian Industrial Sector (JIS) and identify the mediating role of e-HRM Perceived Usefulness (PU) and e-HRM Perceived Ease of Use (PEOU). Furthermore, it investigates the moderating role of User Satisfaction and e-HRM Continuance Usage Intention. To achieve the paper objectives, a Mediated-Moderation Model was designed. The researchers distributed (750) questionnaires, (615) questionnaires were returned and validated for analysis in HRM and development divisions and based on a Census method with the response rate was about (82%). The ‘Structural Equation Modeling’ (SEM) methodology was used, and for analysis, SPSS and Amos were applied. The results indicated that e-HRM practices had significant influence on SCA. The paper also demonstrated that there was a significant mediate effect of TAM constructs on the relationship between e-HRM practices and SCA. Finally, the findings indicated that the user satisfaction and e-HRM continuance usage intention did not moderate the relationship between e-HRM-PEOU and PU and SCA path.
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Rahayu, Retno Pudji, Nasronudin Nasronudin, Retno Indrawati, Prihartini Widiyanti, Bimo Dwi Lukito, Ferdiansyah Ferdiansyah, Siti Qomariyah Khairunisa, Adiana Mutamsari, and Tomohiro Kotaki. "ANALYSI S ON SECONDARY I NFECTI ON- TRI GGERI NG MICROORGANISMS IN HIV/AIDS PATIENTS AS A MODEL FOR POLICY CONTROL." Indonesian Journal of Tropical and Infectious Disease 5, no. 4 (October 5, 2015): 83. http://dx.doi.org/10.20473/ijtid.v5i4.2016.

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Simbolon, Ika Pratiwi, Imas Nurani Islami, and Vita Elisa Fitriana. "Pendalaman Materi: Laporan Keuangan sebagai Dasar Analisis Investasi Saham." ACADEMICS IN ACTION Journal of Community Empowerment 1, no. 2 (January 15, 2020): 109. http://dx.doi.org/10.33021/aia.v1i2.917.

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This community service activities aims to deepen public understanding in making financial records and reporting correctly and making the financial statements as a basis for investment analysi. The investment analysis method used is a discounted cash flow model to determine whether the investment is undervalued or overvalued. The community in this activity are students of SMK Bina Nasional Informatika, North Cikarang. The implementation phase of this activity includes a field survey, coordination with the school principal, the implementation of a financial report socialization program as a basis for stock investment analysis, and preparation of the report. The socialization activity went smoothly attended by 28 Accounting students in class XII. Socialization participants seemed enthusiastic about the material provided. This can be seen from the beginning to the end of the event, all participants followed well. Based on the results of interviews, questions and answers and direct observations, community service activities have increased the knowledge of students by as much as 80% about how to prepare good financial statements and conduct stock valuations using financial statements.
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Basito, Danu Hadi, R. Riniati, and Sebastiana Viphindrartin. "Penentuan Pusat Pertumbuhan pada Satuan Wilayah Pengembangan (SWP) Kediri Provinsi Jawa Timur." e-Journal Ekonomi Bisnis dan Akuntansi 6, no. 1 (May 24, 2019): 50. http://dx.doi.org/10.19184/ejeba.v6i1.11075.

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Research conducted aims to: 1) to identify the potential economic sectors as the base sector as a determinant of the central region of growth in the Region Development Unit (RDU) Kediri East Java; 2) to identify economic sectors that have a competitive advantage in the Region Development Unit (RDU) Kediri East Java; (3) to classify the region in each Regency / City in the Region Development Unit (RDU) Kediri East Java; (4) to identify region based on the availability of service facilities in Region Development Unit (RDU) Kediri East Java; and (5) to identify region with potential interaction strength among regions as the central development areas in Region Development Unit Kediri East Java'. An analysis method that used a method of quantitative descriptive analysis by using secondary data obtained from the Statistic Indonesia and other institutions needed. The analysis is use location quotient analysis, shift share analysis, typologi klassen analysis, scalogram analysis, dan gravitation model analysi. The Analysis showed Kediri City emerges as a growth poles in Region Development Unit Kediri East Java with regional advantages from two aspects namely regional capability (Location Quotient analysis) and high per capita income (Tipology Klassen analysis) with hinterland area such as Kab. Nganjuk, Kab. Trenggalek, and Kab. Kediri and Kab. Tulungagung. Keywords: Gravitation, Growth Poles, Location Quotient, Scalogram, Shift Share, Typologi Klassen.
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Shaikh, Wajid Ali, Syed Feroz Shah, Muhammad Anwar Solangi, and Siraj Muhammed Pandhiani. "Forecasting Analysis of GMDH model with LSSVM and MARS models for Hydrological Datasets (Case study)." Indian Journal of Science and Technology 12, no. 39 (October 20, 2019): 1–6. http://dx.doi.org/10.17485/ijst/2019/v12i39/147941.

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Dissertations / Theses on the topic "Model Analysi"

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SANTORO, MAURO. "Inference of behavioral models that support program analysis." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2011. http://hdl.handle.net/10281/19514.

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The use of models to study the behavior of systems is common to all fields. A behavioral model formalizes and abstracts the view of a system and gives insight about the behavior of the system being developed. In the software field, behavioral models can support software engineering tasks. In particular, relevant uses of behavioral models are included in all the main analysis and testing activities: models are used in program comprehension to complement the information available in specifications, are used in testing to ease test case generation, used as oracles to verify the correctness of the executions, and are used as failure detection to automatically identify anomalous behaviors. When behavioral models are not part of specifications, automated approaches can automatically derive behavioral models from programs. The degree of completeness and soundness of the generated models depends from the kind of inferred model and the quality of the data available for the inference. When model inference techniques do not work well or the data available for the inference are poor, the many testing and analysis techniques based on these models will necessarily provide poor results. This PhD thesis concentrates on the problem of inferring Finite State Automata (the model that is likely most used to describe the behavior of software systems) that describe the behavior of programs and components and can be useful as support for testing and analysis activities. The thesis contributes to the state of the art by: (1) Empirically studying the effectiveness of techniques for the inference of FSAs when a variable amount of information (from scarce to good) is available for the inference; (2) Empirically comparing the effectiveness of techniques for the inference of FSAs and Extended FSAs; (3) Proposing a white-box technique that infers FSAs from service-based applications by starting from a complete model and then refining the model by incrementally removing inconsistencies; (4) Proposing a black-box technique that infers FSAs by starting from a partial model and then incrementally producing additional information to increase the completeness of the model.
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Guiotto, Annamaria. "Development of a gait analysis driven finite element model of the diabetic foot." Doctoral thesis, Università degli studi di Padova, 2013. http://hdl.handle.net/11577/3423117.

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Diabetic foot is an invalidating complication of diabetes mellitus, a chronic disease increasingly frequently encountered in the aging population. The global prevalence of diabetes is predicted to double by the year 2030 from 2.8% to 4.4%. The prevalence of foot ulceration among patients with diabetes mellitus ranges from 1.3% to 4.8%. Several studies have highlighted that biomechanical factors play a crucial role in the aetiology, treatment and prevention of diabetic foot ulcers. Recent literature on the diabetic foot indicates that mechanical stresses, high plantar pressures or/and high tangential stresses, acting within the soft tissues of the foot can contribute to the formation of neuropathic ulcers. While it is important to study the in-vivo diabetic foot-to-floor interactions during gait, models for simulations of deformations and stresses in the diabetic plantar pad are required to predict high risk areas or to investigate the performance of different insoles design for optimal pressure relief. The finite elements (FE) models allow taking into account the critical aspects of the diabetic foot, namely the movement, the morphology, the tissue properties and the loads. Several 2-dimensional (2D) and 3-dimensional (3D) foot models were developed recently to study the biomechanical behavior of the human foot and ankle. However, to the author knowledge, a geometrically detailed and subject specific 3D FE model of the diabetic neuropathic foot and ankle has not been reported. Furthermore 2D and 3D state-of-the-art FE foot models are rarely combined with subject specific gait analysis data both in term of ground reaction forces and kinematics as input parameters and plantar pressure for validation purposes. The purpose of the study herein presented was to simulate the biomechanical behavior of both an healthy and a diabetic neuropathic foot in order to predict the area characterized by excessive stresses on the plantar surface. To achieve this, it has been developed an FE model of the foot by means of applying the loading and boundary conditions given by subject-specific integrated and synchronized kinematic-kinetic data acquired during gait analysis trials to a subject specific FE model (geometry was obtained through subject specific magnetic resonance images - MRI). Thus, an integrated kinematic-kinetic protocol for gait analysis which evaluates 3D kinematics and kinetics of foot subsegments together with two comprehensive FE models of an healthy and a diabetic neuropathic foot and ankle were described herein. In order to establish the feasibility of the former approach, a 2D FE model of the hindfoot was first developed, taking into account the bone and plantar pad geometry, the soft tissues material properties, the kinematics and the kinetics of both an healthy and a diabetic neuropathic foot acquired during three different phases of the stance phase of gait. Once demonstrated the advantage of such an approach in developing 2D FE foot models, 3D FE models of the whole foot of the same subjects were developed and the simulations were run in several phases of the stance phase of gait The validation of the FE simulations were assessed by means of comparison between the simulated plantar pressure and the subject-specific experimental ones acquired during gait with respect to different phases of the stance phase of gait. A secondary aim of the study was to drive the healthy and the diabetic neuropathic FE foot models with the gait analysis data respectively of 10 healthy and 10 diabetic neuropathic subjects, in order to verify the possibility of extending the results of the subject specific FE model to a wider population. The validity of this approach was also established by comparison between the simulated plantar pressures and the subject-specific experimental ones acquired during gait with respect to different phases of the stance phase of gait. Comparison was also made between the errors evaluated when the FE models simulations was run with the subject specific geometry (obtained from MRI data) and the errors estimated when the FE simulations were run with the data of the 20 subjects
Il diabete mellito è una malattia cronica sempre più frequente. Fra le complicanze ad esso associate vi è il cosiddetto “piede diabetico”. L’incidenza del diabete a livello mondiale è destinata a raddoppiare entro il 2030 passando dal 2.8% al 4.4% della popolazione ed il numero di pazienti affetti da diabete mellito che sviluppano ulcera podalica oscilla tra l’1.3% ed il 4.8%. Numerosi studi hanno evidenziato come i fattori biomeccanici giochino un ruolo fondamentale nell’eziologia, nel trattamento e nella prevenzione delle ulcere del piede diabetico. La letteratura recente sul piede diabetico indica che le sollecitazioni meccaniche, ossia le elevate pressioni plantari e/o gli elevati sforzi tangenziali, che agiscono all’interno dei tessuti molli del piede possono contribuire alla formazione di ulcere. È quindi importante studiare le interazioni piede-suolo durante il cammino nei pazienti diabetici, ma si rendono anche necessari dei modelli per la simulazione di sollecitazioni e deformazioni nel tessuto plantare del piede diabetico che permettano di predire le aree ad alto rischio di ulcerazione o di valutare l’efficacia di ortesi plantari nel ridistribuire in modo ottimale le pressioni plantari. I modelli agli elementi finiti consentono di tenere conto degli aspetti critici del piede diabetico, vale a dire il movimento, la morfologia, le proprietà dei tessuti e le sollecitazioni meccaniche. Di recente sono stati sviluppati diversi modelli bidimensionali (2D) e tridimensionali (3D) del piede con lo scopo di studiare il comportamento biomeccanico di piede e caviglia. Tuttavia, per quanto appurato dall’autore, in letteratura non è stato riportato un modello 3D agli elementi finiti del piede diabetico neuropatico con geometria dettagliata e specifica di un soggetto. Inoltre, i modelli 2D e 3D agli elementi finiti del piede presenti in letteratura sono stati raramente combinati con i dati del cammino specifici dei soggetti, sia in termini di forze di reazione al suolo e cinematica (come parametri di input) che in termini di pressioni plantari per la validazione. L’obiettivo dello studio qui presentato è stato quello di simulare il comportamento biomeccanico sia del piede di un soggetto sano che del piede di un soggetto diabetico neuropatico per prevedere l'area della superficie plantare caratterizzata da eccessive sollecitazioni. A tal scopo, sono stati sviluppati due modelli agli elementi finiti di piede e caviglia, utilizzando le geometrie specifiche dei piedi dei due soggetti (uno sano ed uno diabetico neuropatico) ottenute attraverso immagini di risonanza magnetica (MRI). Quindi sono state effettuate delle simulazioni mediante l'applicazione di carichi e di condizioni al contorno, ottenuti da dati di cinematica e cinetica, integrati e sincronizzati, acquisiti durante il cammino, specifici dei due soggetti sui rispettivi modelli agli elementi finiti. Pertanto in questa tesi sono stati descritti un protocollo integrato di cinematica-cinetica per l'analisi del cammino che permette di valutare la cinematica e la cinetica 3D dei sottosegmenti del piede e due modelli completi agli elementi finiti di un piede sano e di un piede diabetico neuropatico. Per stabilire la fattibilità di tale approccio, sono stati inizialmente sviluppati due modelli 2D agli elementi finiti del retropiede di un soggetto sano e di un soggetto diabetico neuropatico, tenendo conto della geometria ossea e del cuscinetto plantare, delle proprietà dei materiali dei tessuti molli, della cinematica e della cinetica. Questi ultimi sono stati acquisiti durante tre istanti della fase di appoggio del ciclo del passo. Una volta dimostrato il vantaggio di un simile approccio nello sviluppo di modelli 2D agli elementi finiti del piede, sono stati sviluppati i modelli 3D agli elementi finiti del piede intero degli stessi soggetti e sono state eseguite le simulazioni in vari istanti della fase di appoggio. La validazione delle simulazioni è stata effettuata attraverso il confronto tra le pressioni plantari simulate e quelle acquisite sperimentalmente durante il cammino degli stessi soggetti, nei corrispondenti istanti della fase di appoggio. Un secondo scopo dello studio qui presentato è stato quello di effettuare simulazioni del modello del piede del soggetto sano e di quello del soggetto neuropatico con dati di analisi del cammino rispettivamente di 10 soggetti sani e 10 diabetici neuropatici, al fine di verificare la possibilità di estendere i risultati dei modelli specifici dei due soggetti ad una popolazione più ampia. La validità di questo approccio è stata valutata tramite il confronto tra le pressioni plantari simulate e quelle sperimentali specifiche di ogni soggetto, acquisite durante il cammino. Inoltre gli errori delle simulazioni eseguite con i dati dei 20 soggetti sono stati confrontati con gli errori effettuati quando le simulazioni dei modelli avevano previsto l’utilizzo di dati di cammino specifici dei due soggetti la cui geometria podalica era stata ottenuta da MRI
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VIRGILI, LUCA. "Graphs behind data: A network-based approach to model different scenarios." Doctoral thesis, Università Politecnica delle Marche, 2022. http://hdl.handle.net/11566/295088.

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Al giorno d’oggi, i contesti che possono beneficiare di tecniche di estrazione della conoscenza a partire dai dati grezzi sono aumentati drasticamente. Di conseguenza, la definizione di modelli capaci di rappresentare e gestire dati altamente eterogenei è un argomento di ricerca molto dibattuto in letteratura. In questa tesi, proponiamo una soluzione per affrontare tale problema. In particolare, riteniamo che la teoria dei grafi, e più nello specifico le reti complesse, insieme ai suoi concetti ed approcci, possano rappresentare una valida soluzione. Infatti, noi crediamo che le reti complesse possano costituire un modello unico ed unificante per rappresentare e gestire dati altamente eterogenei. Sulla base di questa premessa, mostriamo come gli stessi concetti ed approcci abbiano la potenzialità di affrontare con successo molti problemi aperti in diversi contesti. ​
Nowadays, the amount and variety of scenarios that can benefit from techniques for extracting and managing knowledge from raw data have dramatically increased. As a result, the search for models capable of ensuring the representation and management of highly heterogeneous data is a hot topic in the data science literature. In this thesis, we aim to propose a solution to address this issue. In particular, we believe that graphs, and more specifically complex networks, as well as the concepts and approaches associated with them, can represent a solution to the problem mentioned above. In fact, we believe that they can be a unique and unifying model to uniformly represent and handle extremely heterogeneous data. Based on this premise, we show how the same concepts and/or approach has the potential to address different open issues in different contexts. ​
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CHIESA, DAVIDE. "Development and experimental validation of a Monte Carlo simulation model for the Triga Mark II reactor." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2014. http://hdl.handle.net/10281/50064.

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In recent years, many computer codes, based on Monte Carlo methods or deterministic calculations, have been developed to separately analyze different aspects regarding nuclear reactors. Nuclear reactors are very complex systems, which require an integrated analysis of all the variables which are intrinsically correlated: neutron fluxes, reaction rates, neutron moderation and absorption, thermal and power distributions, heat generation and transfer, criticality coefficients, fuel burnup, etc. For this reason, one of the main challenges in the analysis of nuclear reactors is the coupling of neutronics and thermal-hydraulics simulation codes, with the purpose of achieving a good modeling and comprehension of the mechanisms which rule the transient phases and the dynamic behavior of the reactor. This is very important to guarantee the control of the chain reaction, for a safe operation of the reactor. In developing simulation tools, benchmark analyses are needed to prove the reliability of the simulations. The experimental measurements conceived to be compared with the results coming out from the simulations are really precious and can provide useful information to improve the description of the physics phenomena in the simulation models. My PhD research activity was held in this framework, as part of the research project Analysis of Reactor COre (ARCO, promoted by INFN) whose task was the development of modern, flexible and integrated tools for the analysis of nuclear reactors, relying on the experimental data collected at the research reactor TRIGA Mark II, installed at the Applied Nuclear Energy Laboratory (LENA) at the University of Pavia. In this way, once the effectiveness and the reliability of these tools for modeling an experimental reactor have been demonstrated, these could be applied to develop new generation systems. In this thesis, I present the complete neutronic characterization of the TRIGA Mark II reactor, which was analyzed in different operating conditions through experimental measurements and the development of a Monte Carlo simulation tool (relied on the MCNP code) able to take into account the ever increasing complexity of the conditions to be simulated. First of all, after giving an overview of some theoretical concepts which are fundamental for the nuclear reactor analysis, a model that reconstructs the first working period of the TRIGA Mark II reactor, in which the “fresh” fuel was not heavily contaminated with fission reaction products, is described. In particular, all the geometries and the materials are described in the MCNP simulation model with good detail, in order to reconstruct the reactor criticality and all the effects on the neutron distributions. The very good results obtained from the simulations of the reactor at low power condition -in which the fuel elements can be considered to be in thermal equilibrium with the water around them- are then used to implement a model for simulating the full power condition (250kW), in which the effects arising from the temperature increase in the fuel-moderator must be taken into account. The MCNP simulation model was exploited to evaluate the reactor power distribution and a dedicated experimental campaign was performed to measure the water temperature within the reactor core. In this way, through a thermal-hydraulic calculation tool, it has been possible to determine the temperature distribution within the fuel elements and to include the description of the thermal effects in the MCNP simulation model. Thereafter, since the neutron flux is a crucial parameter affecting the reaction rates and thus the fuel burnup, its energy and space distributions are analyzed presenting the results of several neutron activation measurements. Particularly, the neutron flux was firstly measured in the reactor's irradiation facilities through the neutron activation of many different isotopes. Hence, in order to analyze the energy flux spectra, I implemented an analysis tool, based on Bayesian statistics, which allows to combine the experimental data from the different activated isotopes and reconstruct a multi-group flux spectrum. Subsequently, the spatial neutron flux distribution within the core was measured by activating several aluminum-cobalt samples in different core positions, thus allowing the determination of the integral and fast flux distributions from the analysis of cobalt and aluminum, respectively. Finally, I present the results of the fuel burnup calculations, that were performed for simulating the current core configuration after a 48 years-long operation. The good accuracy that was reached in the simulation of the neutron fluxes, as confirmed by the experimental measurements, has allowed to evaluate the burnup of each fuel element from the knowledge of the operating hours and the different positions occupied in the core over the years. In this way, it has been possible to exploit the MCNP simulation model to determine a new optimized core configuration which could ensure, at the same time, a higher reactivity and the use of less fuel elements. This configuration was realized in September 2013 and the experimental results confirm the high quality of the work done. The results of this Ph.D. thesis highlight that it is possible to implement analysis tools -ranging from Monte Carlo simulations to the fuel burnup time evolution software, from neutron activation measurements to the Bayesian statistical analysis of flux spectra, and from temperature measurements to thermal-hydraulic models-, which can be appropriately exploited to describe and comprehend the complex mechanisms ruling the operation of a nuclear reactor. Particularly, it was demonstrated the effectiveness and the reliability of these tools in the case of an experimental reactor, where it was possible to collect many precious data to perform benchmark analyses. Therefore, for as these tools have been developed and implemented, they can be used to analyze other reactors and, possibly, to project and develop new generation systems, which will allow to decrease the production of high-level nuclear waste and to exploit the nuclear fuel with improved efficiency.
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Ferrari, Rosalba (ORCID:0000-0002-3989-713X). "An elastoplastic finite element formulation for the structural analysis of Truss frames with application to ha historical iron arch bridge." Doctoral thesis, Università degli studi di Bergamo, 2013. http://hdl.handle.net/10446/28959.

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This doctoral thesis presents a structural analysis of the Paderno d’Adda Bridge, an impressive iron arch viaduct built in 1889 and located in Lombardia region (Italy). The thesis falls in the context of a research activity started at University of Bergamo since 2005, that is still ongoing and aims to perform an evaluation of the present state of conservation of the bridge. In fact, the bridge is currently still in service and its important position in the context of transport network will soon lead to questions about its future destination, with particular attention to the evaluation of the residual performance capacity. To this end, an inelastic structural analysis of the Paderno d’Adda bridge has been performed, up to failure. This analysis has been conducted through an autonomous computer code of a 3D frame structure that runs in the MATLAB environment and has been developed within the classical frame of Limit Analysis and Theory of Plasticity. The algorithm has been developed applying the “exact” and stepwise holonomic step-by-step analysis method. It has shown very much able to track the limit structural behaviour of the bridge, by reaching convergence with smooth runs up to the true limit load and corresponding collapse displacements. The main characteristic ingredients of its elastoplastic FEM formulation are: beam finite elements; perfectly plastic joints (as an extension of classical plastic hinges); piece-wise linear yield domains; “exact” time integration. In the algorithm, the following original features have been implemented: treatment of mutual connections by static condensation and Gaussian elimination; determination of the tangent stiffness formulation through Gaussian elimination. These peculiar contributions are presented in detail in this thesis.
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Rosso, T. "METODI STATISTICI PER L'ANALISI E LA PREVISIONE DELLA MORTALITA' PER TUMORE." Doctoral thesis, Università degli Studi di Milano, 2015. http://hdl.handle.net/2434/344554.

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The introduction of time series modeling techniques made analyzing the different factors underlying the changes in mortality and incidence rates over time possible, both for analytic and predictive purposes. Age-period-cohort analyses contribute to the etiologic purpose of descriptive epidemiology making inference from the group to the individual possible. These refer to a family of statistical techniques that study the temporal trends of outcomes, such as mortality an incidence, in terms of three temporal variables: subject age, calendar period and the subject's birth cohort. Useful as it is, the age-period-cohort model is marred by a structural problem of identifiability: the variables of age, period and cohort have an exact linear dependence, i.e. "age = period - cohort". Predicting a future event is a complex and insidious process, however, it is a useful endeavor in most human activities. The information gained on probable future trends, even if unreliable or imprecise is highly valuable. Predicted future cancer incidence and mortality rates are essential tools for both epidemiology and health planning. Numerous methods to carry out age-period-cohort analysis are described in the literature, three of these are illustrated in detail and compared by applying them to real data (WHO mortality database): a method based on penalized likelihood, one using generalized additive models (GAM) and one based on partial least squares (PLS) techniques. Predictive analysis techniques are also presented and compared, using observed mortality data. Short term age-period prediction methods based on joinpoint analysis and Bayesian modelling, and a long term technique, which uses a Bayesian age-period-cohort model, are reviewed. In details, predictions through age-period method based on joinpoint analysis are carried out applying linear, Poisson and log-linear regression models. In the age-period-cohort analysis comparison, the penalized likelihood and GAM methods produce similar results, while effect estimates from the PLS model are noticeably different. These differences can be explained by looking at how the three models solve the issue of perfect collinearity between age, period and cohort parameters. On the one hand, the penalized likelihood and GAM methods use different techniques to distribute the linear drift between the period and cohort effects. The PLS method, on the other hand, solves the identifiability problem by tackling the generalized inverse, minimizing the estimated parameter variance and covariance matrix. Without a formal simulation analysis, comments are limited to stating that the two models based on linear drift distribution are more suitable for epidemiological comparisons, where the effects of age are well defined (as in the case of cancer mortality) and the major problems reside in untangling the period and cohort effects. The PLS model, on the other hand, may hypothetically prove to be a useful method to predict future trends. Age-period-cohort analysis is thus an extremely useful tool in the study of mortality data, particularly for cohort effect analysis, but it should be used with due caution since it is relatively easy to draw erroneous conclusions. The predictive method comparison shows that estimates from the different models are similar, especially for the Poisson and log-linear models. However, the linear model has a tendency to underestimate, while the other considered models seem to overestimate, particularly as the forecasting time period grew larger. Overall, the Bayesian age-period model seems to be less suitable for short and medium term mortality predictions, while the other models do not show large performance differences. From these limited tests the linear model and the Bayesian age-period-cohort model seem to provide better estimates when mortality values are low, whereas in the case of greater numbers Poisson and log-linear models seem like better choices. Finally, the analyzed data's unknown underlying distribution shape determines which model predicts more successfully. However, all the studied models are appropriate for predicting data over short periods (up to 5 years). While none of them performs well over the medium term. Prediction of future trends will always be a complex and insidious exercise, albeit an extremely useful one, furthermore the obtained estimates should be taken with caution and only regarded as a general indication of potential interest for epidemiology and health planning.
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ZANOTTI, FRAGONARA LUCA. "Dynamic models for ancient heritage structures." Doctoral thesis, Politecnico di Torino, 2012. http://hdl.handle.net/11583/2502121.

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Risks to cultural heritage and the related losses should be mitigated before disasters such as earthquakes happen. Risks can be addressed by various means, from raising the cultural attention of authorities to documenting the artistic or historical value of an object. The main contribution of structural engineering to cultural heritage concerns the regular maintenance and monitoring for risk reduction. Risk mitigation of historical buildings, as a part of the more general concept of conservation, involves different disciplines. Teams need to be multidisciplinary and information deriving from historical, metric, stylistic, structural, seismic, geotechnical and physical analysis may contribute to the achievement of an overall comprehension of cultural assets. The synergic action of the characterization and monitoring techniques are essential factors to understand, on one hand the mechanisms and the consequences of degradation and, on the other hand, to provide reliable and well-grounded guidelines for the definition of technical interventions to prevent/ to stop the degradation phenomena, to restore the functionality and the use of the historical building/ artifact, or to predict, mitigate and even control the response to accidental events, including strong motions. In this field, an important role is played not only by the analytical aspects, but also by the development and validation of innovative materials and systems for conservation. International deontological guidelines on conservation of cultural heritage define the structural rehabilitation of heritage structures as the cure of a sick person, hence “the heritage structures require anamnesis, diagnosis, therapy and controls, corresponding respectively to the searches for significant data and information, individuation of the causes of damage and decay, choice of the remedial measures and control of the efficiency of the interventions”. Moreover, the same codes state that: “the best therapy is preventive maintenance”, which can only be achieved via monitoring of the structure. In this thesis work a few topical issues of the structural modelling, monitoring and assessment of historic masonry buildings were addressed, with particular emphasis on the dynamic testing and identification. The possible connections with other disciplines are analysed and discussed throughout the text. In this framework, the outline of the thesis includes an introductive first chapter in which the context established by the most recent codes and guidelines concerning the architectural heritage conservation is duly reviewed and analysed. The importance of attaining a knowledge of the structure is also discussed. The second chapter sets up the scene, in which it introduces the principal issues of seismic risk and safety assessment of architectural heritage. Firstly, a brief overview is given of the seismic risk and of geological and geotechnical aspects as related to ancient heritage. Successively, the viability of performance-based approaches, for application to the seismic assessment of architectural heritage, is discussed also in the light of a few recent proposals. In this context, the fundamentals of structural health monitoring are also reported. Chapter 3 is intended to stress the importance of modal testing as an effective tool for ancient structures characterisation, so it starts with a state-of-the-art on linear system identification methods with emphasis on output-only techniques. In particular, time domain and joint time-frequency domain identification techniques are introduced and deeply analysed. Model updating is then addressed and its connection with operational modal analysis is underlined. Finally, a few noteworthy examples of linear identification and model updating of architectural heritage structures are reported. Chapter 4 is about the dynamic and seismic behaviour of domes. The coverage focuses on three ideal benchmarks on reconciling geometric survey with dynamic monitoring. The analyses concerned structures with oval shape domes, such as the Sanctuary of Vicoforte, S. Caterina in Casale Monferrato and S. Agostino in L’Aquila. The final products are virtual models which were enabled to predict the linear dynamic response under earthquake excitation. Chapter 5 inspects modelling strategies suited for masonry under intense seismic excitations. The state-of-the-art covers both models for equivalent static analysis and models which operates in dynamics. A model allowing for stiffness degradation, pinching and hysteresis is then proposed, whose formulation admits extensions to multiple degree of freedom systems. The proposal originates from the well-known Bouc-Wen model. Chapter 6 deals with non-linear identification methods. In perspective, also non-linear identification is expected to become a powerful tool in the context of structural and seismic reliability assessment, especially in the light of the increasing levels of knowledge and prediction capabilities which recent standards strive for. Unfortunately, non-linear identification is to date a specialized and challenging matter, and it has been seldom applied to full-scale structures. In this chapter, special emphasis is given to on-line implementations, with several numerical examples showing the potential of non-linear as well as hysteretic system identification. The last chapter presents an experimental application of non-linear identification. A scaled model of a two-span masonry arch bridge has been artificially damaged and monitored at each damage step. A non-linear identification has been performed from shaker tests data. Results of the experimental campaign will be used to corroborate a non-linear and hysteretic model of the bridge endowed with prediction capabilities.
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GUARNERA, DANIELE. "Refined one-dimensional models applied to biostructures and fluids." Doctoral thesis, Politecnico di Torino, 2019. http://hdl.handle.net/11583/2729363.

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D'ALESSANDRO, ANNAMARIA. "Characterization of protein degradation arrest inducted by Epoxomicin in a neuroblastoma cell line model." Doctoral thesis, Università degli Studi di Roma "Tor Vergata", 2008. http://hdl.handle.net/2108/385.

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Il mantenimento dell’omeostasi e la capacità delle cellule di rispondere all’ambiente esterno dipendono dalla degradazione di proteine regolatorie. I due principali sistemi di degradazione delle proteine nelle cellule eucariotiche sono rappresentati dal sistema proteasoma-ubiquitina (UPS) e dall’autofagia (ALP). Pur essendo l’UPS più efficiente nella degradazione rispetto all’autofagia, in particolari condizioni (inibizione del proteasoma), l’autofagia diviene il sistema più adottato. Molte sostanze, sintetiche e naturali (per es. Epoxomicina) sono state descritte in modelli animali come reminescenze delle patologie neurodegenerative. Tali risultati ci hanno indotto ad effettuare una caratterizzazione molecolare degli effetti provocati dall’Epoxomicina su cellule di neuroblastoma (NB). Obiettivo della ricerca è stato esaminare gli effetti biologici di tale farmaco lesionante su SH-SY5Y, linea cellulare di NB umano, (cambiamenti morfologici, apoptosi, accumulo delle proteine poliubiquitinate ed attivazione dell’autofagia), chiarire attraverso proteomica funzionale l’impatto del farmaco sul proteoma di NB e caratterizzare le informazioni ottenute tramite lo studio dei networks proteici. In particolare, la caratterizzazione fenotipica, strutturale e funzionale dell’Epoxomicina su cellule di NB è stata effettuata usando diversi approcci di proteomica (elettroforesi bidimensionale associata a “Peptide Mass Fingerprinting”, Cromatografia in fase liquida associata alla Spettrometria di Massa, sia in Tandem che Esponenziale). Tutte le proteine differenzialmente espresse identificate (ctrl vs. trattato) sono state studiate e raggruppate nelle rispettive categorie funzionali. Alcune di esse sono state validate tramite western-blotting su differenti linee cellulari umane di NB, oltre che su neuroni primari murini, caratterizzati da differente background fenotipico e genetico. I risultati di proteomica sono stati poi analizzati tramite bioinformatica. Sulla base del “Knowledge based Database approach” abbiamo costruito dei networks funzionali, comprendenti le proteine identificate, e scoperto che molte di esse sono connesse con il beta-estradiolo, noto per il suo ruolo neuroprotettivo. Per confermare tali evidenze abbiamo trattato il nostro modello cellulare di NB con beta-estradiolo prima di esporre le cellule stesse ad Epoxomicina. I risultati ottenuti hanno evidenziato una riduzione dell’apoptosi e la ripresa del ciclo cellulare, associate ad una marcata riduzione delle inclusioni ubiquitinate ed induzione dell’autofagia. Questi dati sembrano quindi suggerire il ruolo protettivo dell’estradiolo nella rimozione degli aggregati proteici. Ulteriori studi saranno effettuati per definire in modelli animali i meccanismi tramite cui le proteine identificate sono coinvolte nella risposta all’Epoxomicina.
Maintenance of cellular homeostasis and ability of cells to respond to their environment depend on orderly degradation of key regulatory proteins. The two main routes of protein clearance in eukaryotic cells are the ubiquitin-proteasome system (UPS) and autophagy-lysosome pathways (ALP). Even if UPS is more efficient than macroautophagy, in particular conditions (i.e. inhibition of proteasome), autophagy becomes the major clearance route. A variety of compounds, both synthetic analogs and natural products (i.e. Epoxomicin), have described in animal models as reminescence of neurodegenerative syndromes. These evidences have suggested us the need for a better characterization of the molecular insight induced by Epoxomicin. Our investigation sought to examine the biological effect of this injuring drug on SH-SY5Y cells, a human neuroblastoma (NB) cell line (cell morphological changes, induction of apoptosis, accumulation of polyubiquitinated proteins and activation of autophagy), to clarify by functional proteomics its impact on NB cells proteome and characterize the obtained informations flow through protein networks. The characterization of phenotypical, structural and functional impact of Epoxomicin on NB cells proteome was carried out by using different functional proteomic approaches (2DE combined to Peptide Mass Fingerprinting, Liquid Chromatography-Tandem Mass Spectrometry and nano-LC/MSE). All the distinct differentially expressed proteins (ctrl vs. treated) were examined for their known biological function and grouped in the respective functional categories. Some of them were also validated by western-blotting on different human NB cell lines and also on primary murine neurons, characterized by different genetic and phenotipical background. A more comprehensive analysis of the proteomic results was performed by a bioinformatic approach. Applying a Knowledge based Database approach we have drawn functional networks including the identified proteins and found that several of them are directed towards beta-estradiol, known for its neuroprotective properties. To confirm the central role played by estradiol we have treated our NB cell model with beta-estradiol, before the exposure to Epoxomicin. Results showed apoptosis reduction and cell cycle resumption associated to strong reduction of the ubiquitinated inclusions and autophagy induction. These data seem to suggest a protective role played directly by beta-estradiol in protein aggregates removing. Further investigation will be necessary to define the in vivo mechanism by which the identified proteins can be involved in responce to Epoxomicin.
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RAMAZZOTTI, DANIELE. "A Model of Selective Advantage for the Efficient Inference of Cancer Clonal Evolution." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2016. http://hdl.handle.net/10281/100453.

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Recently, there has been a resurgence of interest in rigorous and scalable algorithms for efficient inference of cancer progression using genomic patient data. The motivations are manifold: (i) rapidly growing NGS and single cell data from cancer patients, (ii) long-felt need for novel Data Science and Machine Learning algorithms well-suited for inferring models of cancer progression, and finally, (iii) a desire to understand the temporal and heterogeneous structure of tumor so as to tame its natural progression through most efficacious therapeutic intervention. This thesis presents a multi-disciplinary effort to algorithmically and efficiently model tumor progression involving successive accumulation of genetic alterations, each resulting populations manifesting themselves with a novel cancer phenotype. The framework presented in this work along with efficient algorithms derived from it, represents a novel and versatile approach for inferring cancer progression, whose accuracy and convergence rates surpass other existing techniques. The approach derives its power from many insights from, and contributes to, several fields including algorithms in machine learning, theory of causality, and cancer biology. Furthermore, an optimal, versatile and modular pipeline to extract ensemble-level progression models from cross-sectional sequenced cancer genomes is also proposed. The pipeline combines state-of-the-art techniques for sample stratification, driver selection, identification of fitness-equivalent exclusive alterations and progression model inference. Finally, the results are rigorously validated using synthetic data created with realistic generative models, and empirically interpreted in the context of real cancer datasets; in the later case, biologically significant conclusions revealed by the reconstructed progressions are also highlighted. Specifically, the pipeline's ability to reproduce much of the current knowledge on colorectal cancer progression, as well as to suggest novel experimentally verifiable hypotheses is also demonstrate. Lastly, it is also proved that the proposed framework can be applied, mutatis mutandis, in reconstructing the evolutionary history of cancer clones in single patients, as illustrated by an example with multiple biopsy data from clear cell renal carcinomas.
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Books on the topic "Model Analysi"

1

Borowiak, Dale S. Model discrimination for nonlinear regression models. New York: M. Dekker, 1989.

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Moser, Barry Kurt. Linear models: A mean model approach. San Diego: Academic Press, 1996.

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E, Levinson Stephen, and Shepp Lawrence A. 1936-, eds. Image models (and their speech model cousins). New York: Springer, 1996.

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John, Neter, ed. Applied linear regression models. 3rd ed. Chicago: Irwin, 1996.

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Faliva, Mario, and Maria Grazia Zoia, eds. Dynamic Model Analysis. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-85996-3.

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Retherford, Robert D. Statistical models for causal analysis. New York: Wiley, 1993.

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Kshirsagar, Anant M. Growth curves. New York: M. Dekker, 1995.

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Heilemann, Ullrich. Understanding macroeconomic models: Structural sensitivity analysis of a medium-sized model. Essen: Rheinisch-Westfälisches Institut für Wirtschaftsforschung, 1991.

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George C. Marshall Space Flight Center., ed. A simulation model for probabilistic analysis of Space Shuttle abort modes. [Marshall Space Flight Center, Ala.]: National Aeronautics and Space Administration, George C. Marshall Space Flight Center, 1993.

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Blair, Nate. Comparison of photovoltaic models in the System Advisor Model: Preprint. Golden, CO: National Renewable Energy Laboratory, 2013.

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Book chapters on the topic "Model Analysi"

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Pardo, Scott. "Models, Models Everywhere…Model Selection." In Statistical Analysis of Empirical Data, 121–60. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-43328-4_11.

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Schmitz, Tony L., and K. Scott Smith. "Model Development by Modal Analysis." In Mechanical Vibrations, 205–53. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-52344-2_6.

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Schmitz, Tony L., and K. Scott Smith. "Model Development by Modal Analysis." In Mechanical Vibrations, 199–247. Boston, MA: Springer US, 2011. http://dx.doi.org/10.1007/978-1-4614-0460-6_6.

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den Brinker, Albertus C., and Harm J. W. Belt. "Using Kautz Models in Model Reduction." In Signal Analysis and Prediction, 185–96. Boston, MA: Birkhäuser Boston, 1998. http://dx.doi.org/10.1007/978-1-4612-1768-8_13.

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Inman, D. J. "Theoretical Models for Modal Analysis." In Modal Analysis and Testing, 227–40. Dordrecht: Springer Netherlands, 1999. http://dx.doi.org/10.1007/978-94-011-4503-9_10.

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de Lara, Juan, and Hans Vangheluwe. "Translating Model Simulators to Analysis Models." In Fundamental Approaches to Software Engineering, 77–92. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-78743-3_6.

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Svoboda, Martin, Václav Schmid, Josef Soukup, and Milan Sapieta. "Modal Analysis of the Vehicle Model." In Dynamical Systems in Applications, 351–62. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-96601-4_32.

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Bloisi, Domenico D., Alfonso Grillo, Andrea Pennisi, Luca Iocchi, and Claudio Passaretti. "Multi-modal Background Model Initialization." In New Trends in Image Analysis and Processing -- ICIAP 2015 Workshops, 485–92. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-23222-5_59.

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Celeux, Gilles, Sylvia Frühwirth-Schnatter, and Christian P. Robert. "Model Selection for Mixture Models – Perspectives and Strategies." In Handbook of Mixture Analysis, 117–54. Boca Raton, Florida : CRC Press, [2019]: Chapman and Hall/CRC, 2019. http://dx.doi.org/10.1201/9780429055911-7.

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Huang, Xiaoxia. "Model Varieties." In Portfolio Analysis, 157–72. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-11214-0_5.

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Conference papers on the topic "Model Analysi"

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Zhang, Huihui, Tao Yue, Shaukat Ali, and Chao Liu. "Towards mutation analysis for use cases." In MODELS '16: ACM/IEEE 19th International Conference on Model Driven Engineering Languages and Systems. New York, NY, USA: ACM, 2016. http://dx.doi.org/10.1145/2976767.2976784.

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Åkesson, Alfred, Görel Hedin, Niklas Fors, Rene Schöne, and Johannes Mey. "Runtime modeling and analysis of IoT systems." In MODELS '20: ACM/IEEE 23rd International Conference on Model Driven Engineering Languages and Systems. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3417990.3421397.

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Cano-Genoves, Carlos, Emilio Insfran, and Silvia Abrahão. "A value-based goal model analysis tool." In MODELS '22: ACM/IEEE 25th International Conference on Model Driven Engineering Languages and Systems. New York, NY, USA: ACM, 2022. http://dx.doi.org/10.1145/3550356.3559089.

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Weckesser, Markus, Malte Lochau, Michael Ries, and Andy Schürr. "Mathematical Programming for Anomaly Analysis of Clafer Models." In MODELS '18: ACM/IEEE 21th International Conference on Model Driven Engineering Languages and Systems. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3239372.3239398.

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Pett, Tobias, Domenik Eichhorn, and Ina Schaefer. "Risk-based compatibility analysis in automotive systems engineering." In MODELS '20: ACM/IEEE 23rd International Conference on Model Driven Engineering Languages and Systems. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3417990.3421263.

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DeVries, Byron, and Betty H. C. Cheng. "Automatic detection of incomplete requirements via symbolic analysis." In MODELS '16: ACM/IEEE 19th International Conference on Model Driven Engineering Languages and Systems. New York, NY, USA: ACM, 2016. http://dx.doi.org/10.1145/2976767.2976791.

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Jahanbin, Sorour. "Efficient Model Loading through Static Analysis." In 2021 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C). IEEE, 2021. http://dx.doi.org/10.1109/models-c53483.2021.00106.

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Rodriguez-Echeverria, Roberto, and Fernando Macias. "A statistical analysis approach to assist model transformation evolution." In 2015 ACM/IEEE 18th International Conference on Model Driven Engineering Languages and Systems (MODELS). IEEE, 2015. http://dx.doi.org/10.1109/models.2015.7338253.

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DeVries, Byron, and Betty Cheng. "Goal-Based Modeling and Analysis of Non-Functional Requirements." In 2019 ACM/IEEE 22nd International Conference on Model Driven Engineering Languages and Systems (MODELS). IEEE, 2019. http://dx.doi.org/10.1109/models.2019.00010.

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Cimatti, Alessandro, Sara Corfini, Luca Cristoforetti, Marco Di Natale, Alberto Griggio, Stefano Puri, and Stefano Tonetta. "A comprehensive framework for the analysis of automotive systems." In MODELS '22: ACM/IEEE 25th International Conference on Model Driven Engineering Languages and Systems. New York, NY, USA: ACM, 2022. http://dx.doi.org/10.1145/3550355.3552408.

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Reports on the topic "Model Analysi"

1

Zhang, Yongping, Wen Cheng, and Xudong Jia. Enhancement of Multimodal Traffic Safety in High-Quality Transit Areas. Mineta Transportation Institute, February 2021. http://dx.doi.org/10.31979/mti.2021.1920.

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Numerous extant studies are dedicated to enhancing the safety of active transportation modes, but very few studies are devoted to safety analysis surrounding transit stations, which serve as an important modal interface for pedestrians and bicyclists. This study bridges the gap by developing joint models based on the multivariate conditionally autoregressive (MCAR) priors with a distance-oriented neighboring weight matrix. For this purpose, transit-station-centered data in Los Angeles County were used for model development. Feature selection relying on both random forest and correlation analyses was employed, which leads to different covariate inputs to each of the two jointed models, resulting in increased model flexibility. Utilizing an Integrated Nested Laplace Approximation (INLA) algorithm and various evaluation criteria, the results demonstrate that models with a correlation effect between pedestrians and bicyclists perform much better than the models without such an effect. The joint models also aid in identifying significant covariates contributing to the safety of each of the two active transportation modes. The research results can furnish transportation professionals with additional insights to create safer access to transit and thus promote active transportation.
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Forrest, James A., James R. Dominy, Marion L. Williams, and Patricia F. Bronson. Mission Stream Analysis - Delta Analytic Model. Revision. Fort Belvoir, VA: Defense Technical Information Center, September 2014. http://dx.doi.org/10.21236/ada611935.

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C. Lum. Mineralogic Model (MM3.0) Analysis Model Report. Office of Scientific and Technical Information (OSTI), February 2002. http://dx.doi.org/10.2172/837104.

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R. Clayton. Geologic Framework Model Analysis Model Report. Office of Scientific and Technical Information (OSTI), December 2000. http://dx.doi.org/10.2172/837107.

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Clinton Lum. ROCK PROPERTIES MODEL ANALYSIS MODEL REPORT. Office of Scientific and Technical Information (OSTI), February 2002. http://dx.doi.org/10.2172/875317.

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Li, Yanfei, Yeonjin Bae, and Piljae Im. Surrogate Model of Flexible Research Platform EnergyPlus Models to Enable Sensitivity Analysis. Office of Scientific and Technical Information (OSTI), June 2021. http://dx.doi.org/10.2172/1817464.

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Blundell, S. Micro-terrain and canopy feature extraction by breakline and differencing analysis of gridded elevation models : identifying terrain model discontinuities with application to off-road mobility modeling. Engineer Research and Development Center (U.S.), April 2021. http://dx.doi.org/10.21079/11681/40185.

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Elevation models derived from high-resolution airborne lidar scanners provide an added dimension for identification and extraction of micro-terrain features characterized by topographic discontinuities or breaklines. Gridded digital surface models created from first-return lidar pulses are often combined with lidar-derived bare-earth models to extract vegetation features by model differencing. However, vegetative canopy can also be extracted from the digital surface model alone through breakline analysis by taking advantage of the fine-scale changes in slope that are detectable in high-resolution elevation models of canopy. The identification and mapping of canopy cover and micro-terrain features in areas of sparse vegetation is demonstrated with an elevation model for a region of western Montana, using algorithms for breaklines, elevation differencing, slope, terrain ruggedness, and breakline gradient direction. These algorithms were created at the U.S. Army Engineer Research Center – Geospatial Research Laboratory (ERDC-GRL) and can be accessed through an in-house tool constructed in the ENVI/IDL environment. After breakline processing, products from these algorithms are brought into a Geographic Information System as analytical layers and applied to a mobility routing model, demonstrating the effect of breaklines as obstacles in the calculation of optimal, off-road routes. Elevation model breakline analysis can serve as significant added value to micro-terrain feature and canopy mapping, obstacle identification, and route planning.
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8

Musa, Padde, Zita Ekeocha, Stephen Robert Byrn, and Kari L. Clase. Knowledge Sharing in Organisations: Finding a Best-fit Model for a Regulatory Authority in East Africa. Purdue University, November 2021. http://dx.doi.org/10.5703/1288284317432.

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Knowledge is an essential organisational asset that contributes to organisational effectiveness when carefully managed. Knowledge sharing (KS) is a vital component of knowledge management that allows individuals to engage in new knowledge creation. Until it’s shared, knowledge is considered useless since it resides within the human brain. Public organisations specifically, are more involved in providing and developing knowledge and hence can be classified as knowledge-intensive organisations. Scholarly research conducted on KS has proposed a number of models to help understand the KS process between individuals but none of these models is specifically for a public organisation. Moreover, to really reap the benefits that KS brings to an organization, it’s imperative to apply a model that is attributable to the unique characteristics of that organisation. This study reviews literature from electronic databases that discuss models of KS between individuals. Factors that influence KS under each model were isolated and the extent of each of their influence on KS in a public organization context, were critically analysed. The result of this analysis gave rise to factors that were thought to be most critical in understanding KS process in a public sector setting. These factors were then used to develop a KS model by categorizing them into themes including organisational culture, motivation to share and opportunity to share. From these themes, a KS model was developed and proposed for KS in a medicines regulatory authority in East Africa. The project recommends that an empirical study be conducted to validate the applicability of the proposed KS model at a medicines regulatory authority in East Africa.
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9

Paulson, Albert S., and Gerald R. Swope. Signal Model Analysis Via Model-Critical Methods. Fort Belvoir, VA: Defense Technical Information Center, October 1988. http://dx.doi.org/10.21236/ada200685.

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10

Yan, Yiton T. Beamline Model Verification Using Model Independent Analysis. Office of Scientific and Technical Information (OSTI), July 2000. http://dx.doi.org/10.2172/763822.

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