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Execution of A Requirement Model in Software Development 13

Execution of A Requirement Model in Software Development

引用

13th International Conference on Intelligent and Adaptive Systems and Software Engineering, IASSE 2004

作者： Shen, Wuwei Guizani, Mohsen Yang, Zijiang Compton, Kevin Huggins, James Dept of Computer Science Western Michigan University United States Dept. of EECS The University of Michigan United States Computer Science Program Kettering University United States

ISBN: (纸本)9781618398383

Latest research results have shown that requirements errors have a prolonged impact on software development and that they are more expensive to fix during later stages than early stages in software development. Use case diagrams in UML are used to give requirements for a software system, but all descriptions for each use case are written in informal language. In this paper, we propose a new language HCL (High-Level Constraint Language) to which any requirement model given by use case diagrams can be mapped. Not only is the language HCL based on a formal language but also the requirement model written in HCL can be executed. Many errors occurring during requirements analysis and design can be detected by means of execution. © 2004. 13th International Conference on Intelligent and Adaptive Systems and Software Engineering 2004, IASSE 2004. All rights reserved.

关键词： Software design

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SourceSeer: Forecasting rare disease outbreaks using multiple data sources

SourceSeer: Forecasting rare disease outbreaks using multipl...

引用

SIAM International Conference on Data Mining 2015, SDM 2015

作者： Rekatsinas, Theodoras Ghosh, Saurav Mekaru, Sumiko R. Nsoesie, Elaine O. Brownstein, John S. Getoor, Lise Ramakrishnan, Naren Dept. of Computer Science University of Maryland College Park United States Dept. of Computer Science Virginia Tech. United States Children's Hospital Informatics Program Boston Children's Hospital United States Dept. of Computer Science University of California Santa Cruz United States

ISBN: (纸本)9781510811522

Rapidly increasing volumes of news feeds from diverse data sources, such as online newspapers, Twitter and online blogs are proving to be extremely valuable resources in helping anticipate, detect, and forecast outbreaks of rare diseases. This paper presents SourceSeer, a novel algorithmic framework that combines spatio-temporal topic models with source-based anomaly detection techniques to effectively forecast the emergence and progression of infectious rare diseases. SourceSeer is capable of discovering the location focus of each source allowing sources to be used as experts with varying degrees of authoritativeness. To fuse the individual source predictions into a final outbreak prediction we employ a multiplicative weights algorithm taking into account the accuracy of each source. We evaluate the performance of SourceSeer using incidence data for hantavirus syndromes in multiple countries of Latin America provided by HealthMap over a timespan of fifteen months. We demonstrate that SourceSeer makes predictions of increased accuracy compared to several baselines and is capable of forecasting disease outbreaks in a timely manner even when no outbreaks were previously reported. Copyright © SIAM.

关键词： Hantavirus

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Problem solving by english learners and english primary students in an algebra-readiness ITS

Problem solving by english learners and english primary stud...

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作者： Cirett, Federico Beal, Carole R. University of Arizona Computer Science Dept. Cognitive Science Program Tucson AZ 85721 United States

ISBN: (纸本)9781577354475

Problem solving was compared for English Learners and English Primary students who had used Animal Watch, an algebra-readiness ITS. Data records for word problems solved by students in both language groups were located and compared. Results indicated that English Learners were less likely to answer correctly, had more incorrect answer attempts, took longer on each problem, and were more likely to use multimedia help features in the ITS. Differences between English Learners and English Primary students were most apparent on word problems with challenging English text. Copyright © 2010, Association for the Advancement of Artificial Intelligence (***). All rights reserved.

关键词： Students

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Using stochastic control with data compression perspectives to enhance P300 neural communication prostheses

Using stochastic control with data compression perspectives ...

引用

IEEE Information Theory Workshop

作者： Jarzebowski, Julian Srinivasan, Lakshminarayan Coleman, Todd P. ECE Dept. Coordinated Science Laboratory UIUC Center for Nervous System Repair Massachusetts General Hospital ECE Dept. and Neuroscience Program Coord. Sci. Lab. and Beckman Institute UIUC

ISBN: (纸本)9781424422692

We design a study assess to improve the speed in a P300 Brain-computer Interface, originally described by Farewell and Donchin in 1988. A grid of characters is displayed on a screen randomly, and when the character of interest is illuminated, 300ms afterwards a deflection in the EEG signal is generated. In such scenarios, the time to specify a menu option is proportional to its size. Most researchers in the past have considered fixed menu size and focused on more advanced statistical detection/classification techniques. We propose to use statistical language structure to introduce a new degree of freedom in this paradigm. Finding the optimal policy to display menus, given previously conveyed characters, can be cast in terms of "dynamic programming" or "stochastic control". We illustrate how the optimal policy of this dynamic programming problem satisfies a menu dept. to character probability relation analogous to that of the Huffman code in data compression and information theory. By exploiting this optimality property, we illustrate how the state space of the stochastic control problem can be greatly diminished (from exponential growth to linear growth), and we exhibit optimal policies for a probabilistic model pertaining to the statistical structure of the English language.

关键词： Degrees of freedom (mechanics)

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Early Detection of Mild Cognitive Impairment using Neuropsychological Data and Machine Learning Techniques

Early Detection of Mild Cognitive Impairment using Neuropsyc...

引用

2020 IEEE Conference on Big Data and Analytics, ICBDA 2020

作者： Almubark, Ibrahim Alsegehy, Samah Jiang, Xiong Chang, Lin-Ching Catholic University of America Dept. of Electrical Engineering and Computer Science WashingtonDC United States Penn State University Dept. of Computer Science and Engineering University ParkPA United States Georgetown University Medical Center Dept. of Neuroscience WashingtonDC United States

ISBN: (纸本)9781728192468

Individuals with mild cognitive impairment (MCI) have a much higher risk of developing Alzheimer's disease (AD) or other types of dementia. Early detection of MCI is critical to identify these high-risk candidates for proper management and early interventional treatment. In this paper, a neuropsychological dataset from the Alzheimer's Disease Neuroimaging Initiative (ADNI), one of the largest public AD database, was used. Four different machine learning algorithms were investigated to classify MCI from demographically matched cognitively normal (CN) older adults. In total, there were 620 subjects, including 391 MCI and 229 CN. A comprehensive neuropsychological battery was administered to all subjects, and 3 tests were selected for this study: Alzheimer's Disease Assessment Scale-Cognitive subscale (ADAS-Cog), Mini-Mental State Examination (MMSE), and Functional Activities Questionnaire (FAQ). Of all the classifiers tested, the Support Vector Machine (SVM) classifier with radial basis function (RBF) kernel had the best performance for MCI detection, with an average classification accuracy of 88.06% and the area under the receiver operating characteristic curve (AUC) of 0.945. © 2020 IEEE.

关键词： Neuroimaging

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computer science and engineering education: Current trends, new dimensions and related professional programs 78

Computer science and engineering education: Current trends, ...

引用

9th SIGCSE Technical Symposium on computer science Education, SIGCSE 1978

作者： Jehn, Lawrence A. Rine, David C. Sondak, Norman Computer Science Dept. University of Dayton DaytonOH United States Information Science Program Western Illinois University MacombIL United States Computer Science Dept. Worcester Polytechnic Institute WorcesterMA United States

ISBN: (纸本)9781450374347

The role of the computer in engineering practice is ever increasing. The computer performs such tasks as: simple calculations;on line data recording and synthesis;acting as a control unit providing feedback;statistical analysis of large data sets;information retrieval and storage;and the simulation of large complex systems. © 1978 Association for Computing Machinery Inc. All rights reserved.

关键词： computer control systems

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View and index selection for query-performance improvement: Quality-centered algorithms and heuristics

View and index selection for query-performance improvement: ...

引用

17th ACM Conference on Information and Knowledge Management, CIKM'08

作者： Kormilitsin, Maxim Chirkova, Rada Stallmann, Matthias Fathi, Yahya Computer Science Dept. NC State University Operations Research Program Raleigh NC 27695 United States

ISBN: (纸本)9781595939913

Selecting and precomputing indexes and materialized views, with the goal of improving query-processing performance, is an important part of database-performance tuning. The significant complexity of the view- and index-selection problem may result in high total cost of ownership for database systems. In this paper, we develop efficient methods that deliver user-specified quality of the set of selected views and indexes when given view- and index-based plans as problem inputs. Here, quality means proximity to the globally optimum performance for the input query workload given the input query plans. Our experimental results and comparisons on synthetic and benchmark instances demonstrate the competitiveness of our approach and show that it provides a winning combination with end-to-end view- and indexselection frameworks such as those of [1, 2].

关键词： Query processing

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A Study on Text Feature Selection Using Ant Colony and Grey Wolf Optimization 7

A Study on Text Feature Selection Using Ant Colony and Grey ...

引用

7th International Conference on Informatics and Computing, ICIC 2022

作者： Widians, Joan Angelina Wardoyo, Retantyo Hartati, Sri Universitas Gadjah Mada Doctoral Program Dept. of Computer Science and Electronics Indonesia Universitas Mulawarman Faculty of Engineering Dept. of Informatics Samarinda Indonesia Universitas Gadjah Mada Faculty of Mathematics and Natural Sciences Dept. of Computer Science and Electronics Yogyakarta Indonesia

ISBN: (纸本)9798350345711

Text classification (TC) is widely used for organizing digital documents. The issues in TC are numerous characteristics and high-element dimensions. Many pattern classification issues require feature selection (FS), which is pertinent. FS removes unneeded and redundant data from the dataset. The Ant Colony Optimization (ACO) and Grey Wolf Optimizer (GWO) for FS are the main topics of our thorough assessment of the literature on the Swarm Intelligence (SI) algorithm. Furthermore, it illustrates how the hybrid SI technique is used in FS across various sectors. The hybrid SI technique uses applicable data from various FS methods to find feature subsets with smaller sizes and better classification performance than those found by regular FS algorithms. © 2022 IEEE.

关键词： Ant colony optimization

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Circuit optimization predicts dynamic networks for chemosensory orientation in the nematode Caenorhabditis elegans

Circuit optimization predicts dynamic networks for chemosens...

引用

17th Annual Conference on Neural Information Processing Systems, NIPS 2003

作者： Dunn, Nathan A. Conery, John S. Lockery, Shawn R. Dept. of Computer Science University of Oregon Eugene OR 97403 United States Institute of Neuroscience University of Oregon Eugene OR 97403 United States

ISBN: (纸本)0262201526

The connectivity of the nervous system of the nematode Caenorhabditis elegans has been described completely, but the analysis of the neuronal basis of behavior in this system is just beginning. Here, we used an optimization algorithm to search for patterns of connectivity sufficient to compute the sensorimotor transformation underlying C. elegans chemotaxis, a simple form of spatial orientation behavior in which turning probability is modulated by the rate of change of chemical concentration. Optimization produced differentiator networks with inhibitory feedback among all neurons. Further analysis showed that feedback regulates the latency between sensory input and behavior. Common patterns of connectivity between the model and biological networks suggest new functions for previously identified connections in the C. elegans nervous system.

关键词： Neurons

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Artificial Intelligence Assisted IoT Data Intrusion Detection 4

Artificial Intelligence Assisted IoT Data Intrusion Detectio...

引用

4th International Conference on Computing and Communications Technologies, ICCCT 2021

作者： Shukla, Amogh Ahamad, Shahanawaj Rao, G.Nageswara Al-Asadi, Avein Jabar Gupta, Ankur Kumbhkar, Makhan Research Assistant Vellore Institute of Technology Vellore India College of Computer Science and Engineering University of Hail Hail City Saudi Arabia Lakireddy Bali Reddy College of Engineering Dept. of EEE Mylavaram India Computer Institute of Sulaimani Dept. of Computer Program Iraq Vaish College of Engineering Dept. of Computer Science and Engineering Rohtak India Christian Eminent College Dept. of Computer Science Indore India

ISBN: (纸本)9781665414470

It has become increasingly important since the introduction of Internet of Things (IoT) technology to ensure the security of IoT networks. Network anomalies and threats can be identified and predicted using a variety of intrusion detection systems (IDS). Despite the fact that the Internet of Things is vulnerable to attacks, early detection of malicious behavior can prevent data from being compromised. In this work, the primary goal is to develop machine artificial intelligence energy efficient models that can be used to detect attacks on the Internet of Things network. Normal and attack data from the IoT environment must be collected in order to construct a model. The Bayesian Network, the Artificial Neural Network, and the Support Vector Machine are considered to have the most promise. Using roundtrip time and power consumption data, a traditional three-layer Artificial Neural Network is put through its paces in the real world. © 2021 IEEE.

关键词： Internet of things

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