the proceedings contain 11 papers. the topics discussed include: towards deriving conclusions from cause-effect relations;logicprogramming with graded introspection;answer set programming modulo acyclicity;shift desi...
the proceedings contain 11 papers. the topics discussed include: towards deriving conclusions from cause-effect relations;logicprogramming with graded introspection;answer set programming modulo acyclicity;shift design with answer set programming;constraint answer set programming based on HEX-programs;reduct-based stability check using literal assumptions;finite proofs for infinitary formulas;solving qualitative spatio-temporal reasoning problems by means of answer set programming: methods and experiments;and embedding ASP in mobile systems: discussion and preliminary implementation.
A flowchart can be a graphic diagram representation of a programminglogic. there are shapes and connectors that represent the different types of actions or steps in a process. A flowchart is a very important tool in ...
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ISBN:
(纸本)9781538604977
A flowchart can be a graphic diagram representation of a programminglogic. there are shapes and connectors that represent the different types of actions or steps in a process. A flowchart is a very important tool in the planning phase in a program development cycle. Programmers can use it to design and develop an algorithm of a program. Moreover, a flowchart is also very effective for visual learners to write and comprehend algorithms in computer programming courses. this paper aims to provide a tool which serves as an automatic code generator using a structured flowchart. the tool is composed of basic flowchart shapes to be combined into a structured flowchart that can be converted into source codes. In addition, the system's performance has been evaluated by two groups: 5 experts and 93 general users. the results showed the average values of the satisfaction levels were 4.48 and 4.27 with standard deviations at 0.59 and 0.64 for the experts and the general users respectively. It was found that the system performance of the tool reached an agree level. It was revealed that the developed system can be used precisely as intended in an effective manner.
Screencasts have lately become a pedagogical tool used to create videos to be distributed to students. the plethora of tools make it easier for the teachers to produce high-quality, low-cost screencasts for a number o...
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Computer games are very popular among several age groups. In this respect, they could be exploited to render educational content more motivating and attractive. Especially, adventure games have positive effects toward...
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ISBN:
(纸本)9781538637319
Computer games are very popular among several age groups. In this respect, they could be exploited to render educational content more motivating and attractive. Especially, adventure games have positive effects towards students due to their novel environment. Furthermore, adaptive educational games can offer a motivating environment reinforced with a personalised learning experience. However, there are only few educational adventure games that encompass adaptive features or their adaptivity is very limited. this paper describes an educational adventure game for learning computer programming. A student modelling component based on fuzzy logic is used to create a profile for every student and provide individualized help. the game incorporates many adaptive characteristics such as providing help through agents whenever needed. However, it's main feature is the ability to extend the scenario depending on the player's weaknesses. In this way, the game aims to motivate and engage the student by providing new screens and riddles and lengthening the total necessary time to finish it. A preliminary evaluation took place during a summer school organized by University of Piraeus and its results about the game were very encouraging.
this paper describing a method of specifying common terms of genes from microarray data in 3 steps. First, we use random forest for extracting disease-related genes and it give each gene variable importance. the highe...
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ISBN:
(纸本)9781450353502
this paper describing a method of specifying common terms of genes from microarray data in 3 steps. First, we use random forest for extracting disease-related genes and it give each gene variable importance. the higher the variable importance, the more effective feature for classification. We extract genes whose variable importance more than 0 and set them positive samples and the rest set negative samples for ILP. Next, we annotate extracted genes by using Gene Ontology (GO) and use the term as predicate for ILP. Annotation is the process of assigning GO terms to gene products. Finally, we obtain rules about common terms in positive samples by using ILP. ILP is a subfield of machine learning which uses logicprogramming as a uniform representation technique for examples, background knowledge and hypotheses. ILP learns based on background knowledge. Background knowledge is represented in first-order logic. In the result, we extracted 1051 mRNA as positive samples for ILP from random forest and its F-measure score was 65.1%. We obtained about 4000 terms at each dataset and use them as predicates for ILP. We got eventually some rules about positive samples.
Power stations produce supply at a particular frequency in a given locale. this frequency varies with supply and demand in the grid. this paper mainly focuses on maintaining the optimum frequency in the grid by induci...
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the proceedings contain 108 papers. the topics discussed include: web applications for learning CUDA programming;toward interactive timelapses;IMO forensics in android and windows systems;health monitoring web platfor...
ISBN:
(纸本)9781538637319
the proceedings contain 108 papers. the topics discussed include: web applications for learning CUDA programming;toward interactive timelapses;IMO forensics in android and windows systems;health monitoring web platform for real-time expert-user interaction;a survey of fuzzy cognitive maps forecasting methods;towards the memory forensics of OOP execution behavior;towards hierarchical cooperative analytics architecture in law enforcement agencies;a crowd sourced based application for sharing data between mobile devices;mobile application providing accessible routes for people with mobility impairments;high precision handedness detection based on short input keystroke dynamics;implementing real-life indoor positioning systems using machine learning approaches;energy service contract as a key factor of innovative development of budgetary organizations;an information system for deciding and acting ahead of time in sensing enterprises;security strategies for managing mobile devices in SMEs - a theoretical evaluation;towards a framework for tensor ontologies over Neo4j: representations and operations;implement the intelligent carpet system and application design based on sensor technique;ampacity level monitoring utilizing fuzzy logictheory in deregulated power markets;and performance engineering of image processing systems through benchmarking techniques.
the proceedings contain 6 papers. the topics discussed include: dataflow acceleration of Scikit-learn Gaussian process regression;VectorPU: a generic and efficient data-container and component model for transparent da...
ISBN:
(纸本)9781450348775
the proceedings contain 6 papers. the topics discussed include: dataflow acceleration of Scikit-learn Gaussian process regression;VectorPU: a generic and efficient data-container and component model for transparent data transfer on GPU-based heterogeneous systems;using PEGs for automatic extraction of memory access descriptions to support data-parallel pattern recognition;on boosting energy-efficiency of heterogeneous embedded systems via game theory;scaling binarized neural networks on reconfigurable logic;MTP-Caffe: memory, timing, and power aware tool for mapping CNNs to GPUs.
the resurgence of AI is changing every aspect of our lives. Many new kinds of data are becoming available in every field, making possible new insights and approaches that were unthinkable a few years ago. In this pape...
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the proceedings contain 22 papers. the special focus in this conference is on Artificial Intelligence. the topics include: Proper names in interaction;an analysis of selectional restrictions with dependent type semant...
ISBN:
(纸本)9783319615714
the proceedings contain 22 papers. the special focus in this conference is on Artificial Intelligence. the topics include: Proper names in interaction;an analysis of selectional restrictions with dependent type semantics;non-canonical coordination in the transformational approach;rich situated attitudes;reference and pattern recognition;negotiating epistemic authority;challenges in the computational implementation of montagovian lexical semantics;on the interpretation of dependent plural anaphora in a dependently-typed setting;toward sentiment analysis in elderly care facility;the passenger decision making mechanism of self-service kiosk at the airport;a study of crucial factors for in-app purchase of game software;an agent-based model for evaluating post-acquisition integration strategies;assessing long-term care resource distribution in china by simulating care-seeking behaviors;the research of bankruptcies’ succession by systemic risk index;argument-based logicprogramming for analogical reasoning;estimating legal document structure by considering style information and table of contents;legal yes/no question answering system using case-role analysis;question answering of bar exams by paraphrasing and legal text analysis;a basic study of gaze behavior measurement methodology for drivers in autonomous vehicles and toward a mechanistic account for imitation learning.
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