Miracle-dz/UniFAR-FTUs huggingface dataset:
A knowledge-based approach to dynamic job-shop scheduling

Abstract Job-shop scheduling has challenged many researchers in that, although it belongs to a class of problems amenable to combinatorial analysis, a fully mathematical solution would not be feasible for many applications of realistic size and scope. A plethora of approaches to computer-assisted job-shop scheduling have been proposed, ranging from OR-type optimization techniques to Al/knowledge-based satisficing solutions. However, few of these approaches have had any success in delivering generic operational solutions Logica, as a part of a three-year ESPRIT project (No. 418) in open CAM systems (OCS), has developed a software tool for dynamic finite capacity job-shop scheduling (ESPRIT 1989). The approach adopted in this development combines conventional schedule generation with knowledge-based evaluation and repair, to provide an integrated decision-support tool for the managers of job-shop environments. The system can interpret disturbance information acquired from on-line shop monitoring computers, .
3-(Polyfluoroacyl)chromones and Their Hetero Analogues as Valuable Substrates for Syntheses of 4-(Polyfluoroalkyl)pyrimidines.

4-(Polyfluoroalkyl)pyrimidines Anton Kotljarov,a,b Roman A. Irgashev,c Viktor O. Iaroshenko,*d,e Dmitri V. Sevenard,f Vyacheslav Ya. Sosnovskikhc a Fachbereich Chemie, Universität Konstanz, Fach M-720, Universitätsstr. 10, 78457 Konstanz, Germany b Institute of Organic and Bioorganic Chemistry, University of Tartu, Jakobi 2, 51014 Tartu, Estonia c Department of Chemistry, Ural State University, pr. Lenina 51, 620083 Ekaterinburg, Russian Federation d Enamine Ltd, 23 A. Matrosova st., 01103 Kyiv, Ukraine Fax +380(44)5373253; E-mail: yaroshenko@enamine.net e National Taras Shevchenko University, 62 Volodymyrska st., Kiev-33, 01033, Ukraine f Hansa Fine Chemicals GmbH, BITZ, Fahrenheitstr. 1, 28359 Bremen, Germany Received 23 February 2009; revised 29 May 2009 Dedicated to Professor Yulian Volovenko on the occasion of his 55th birthday
Predictors of course outcomes: early indicators of delay in online classrooms

Studies have long shown that students who begin or submit their work later tend to have negative academic outcomes. The measures of procrastination used in those studies may not have provided information timely enough for instructor intervention. This article focuses on delay in the online environment among graduate students. We propose two new measures of delay that can be disclosed in a timely manner, enabling instructors to help students who are prone to late submissions to succeed. Date of class registration and date of initial class posting are negatively associated with final letter grades. Date of first class posting can serve to alert instructors to those with potential delay problems. The results for date of class registration are less clear.
Back to thinking mode: diaries for the management of information systems development projects

Abstract From a practical point of view, systems development methods are important sources of inspiration for the planning and establishment projects, but only to a limited extent do they support the reflections and actions of the participants. We propose the use of diaries as a supplement to conventional methods of reflection on what actually happens and what could happen during the course of a project, i.e., we propose diaries as a medium for the management of information systems development projects. This idea is based on an exploratory study carried out in co-operation with a bank and a research department, and the idea is supported by theoretical arguments from different fields. In conclusion, some practical advice on how to use diaries is given together with some questions for further investigation.
A PCA-based Face Recognition Method by Applying Fast Fourier Transform in Pre-processing

Principal Component Analysis (PCA) is a well-studied method in face recognition. Noticing that few researches focus on pre-processing of images, which will also improve the performance of feature extraction of PCA algorithm, we present an improved approach of PCA based face recognition algorithm using Fast Fourier Transform (FFT). In our method, FFT is presented as a method to combine amplitude spectrum of one image with phase spectrum of another image as a mixed image. PCA is applied to do feature extraction and a kernel SVM is harnessed as a classifier. To test and evaluate the performance of the proposed approach, a series of experiments are performed on Yale face database A. The experimental results show that our proposed method is encouraging.
A model for new linkages for prior learning assessment

Kalz, M. , Van Bruggen, J., Giesbers, B. , Eshuis, J., Waterink, W. , & Koper, R. (2008). A Model for New Linkages for Prior Learning Assessment. Campus Wide Information Systems, 25(4), 233-243. [See also http://hdl.handle. net/1820/1679 ]
Friction characterization and controller design for a two axis manipulator

We provide a methodology for the design and implementation of a control system for a planar direct drive manipulator that reduces the effects of non-linear friction. The friction is characterized by a series of off-line experiments that capture dependencies on position and velocity. The characterization is built into a database that is coupled with an online feedback controller to enhance positioning accuracy.
Real-time cylinder pressure and indicated torque estimation via second order sliding modes

In this paper an online estimator design is proposed for indicated torque and individual cylinder combustion pressure estimation of an internal combustion (IC) engine. The information on cylinder pressure and indicated torque can be utilized in several engine control and diagnostics problems such as torque tracking, (transient) air-fuel-ratio regulation, ignition timing, lean burn engine control, idle speed control, cylinder misfire and abnormal combustion detections. The proposed strategy requires the crank angle and crankshaft speed measurements as well as fairly accurate combustion and crankshaft rotational dynamical models.
Speckle Noise Reduction in B-Mode Echocardiographic Images: A comparison

ABSTRACT This paper presents the despeckling applications of 48 filters for B-mode echocardiographic images. The filters are grouped into eight types, namely, local statistics, fuzzy, Fourier, multiscale, nonlinear iterative, total variation, nonlocal mean, and hybrid. The thrust areas of analyses are noise suppression, edge, and structure preservation evaluated in terms of image quality metrics, visual quality assessment, and clinical validation. The comparative analysis reveals that filters based on generalized likelihood ratio, local statistics (mean and variance), detail preserving anisotropic diffusion, fast bilateral, sparse representation based beta process factor analysis, and patch-based locally optimal Wiener and probabilistic nonlocal means stand out among the techniques being considered for comparison.
Research and Improvement of Deficit Round Robin Algorithm Based on CAN Bus

The data transmission on CAN bus is decided by priority, That is the data with high priority can always be transmited by inturrupt the data transmission with low priority . In that case the data with lower priority may not be transmitted for a long time . To sove such problem we use DRR scheduling algorithm ,But in the case of too many unexpected data ,The scheduling results are poor . In view of such situation this paper put forward a solution allocation quotas dynamicly according to the current network state . And setting up a CAN bus system simulation platform in which conducted a simuliation experiment.The result show that the improvement strategy work well at any situation.
Instructional Technology and Distance Learning through the Internet

Abstracts English: The article maps the possibilities open to teaching institutions in distance learning through the Internet. It considers the ways in which the Internet allows us to evaluate the efforts and strategies that should be chosen in order to implement distance learning through the Internet according to the organization's teaching goals and the type of distance teaching it chooses. The basic terms of synchronic and asynchronic learning, non‐interactive learning, scope and learning‐time circles are defined and they create a system of axes upon which one can place distance learning in an organization or a course that consists of various aspects of distance learning.
A Review of Assessment of Student Learning Programs at AACSB Schools: A Dean's Perspective

The authors report the results of a survey of 420 deans at Association to Advance Collegiate Schools of Business-accredited business schools in an attempt to describe how these schools have implemented the new assurance of learning standards. The results indicate that the majority of schools budget over $10,000 annually to implement their assessment programs. Written or oral assignments are frequently used as direct measures of student leaning. Surveys of graduating seniors and alumni are often used as indirect measures of student learning. Minor modifications to existing courses and closer coordination of multisection courses were the most frequent changes made to improve student learning. Faculty frequently participate in assessment tasks, including defining the learning goals of the degree program, developing instruments to measure student learning, and creating and implementing changes to improve student learning. Major causes of faculty resistance to assessment include the demanding time commitment and the lack of appropriate knowledge required to conduct assessment.
Web Application Awareness using HTTP Host

Today`s network traffic has become extremely complex and diverse since the speed of network became faster and a variety of application services appear. Moreover, many applications appear and disappear fast and continuously. However, the current traffic classification system does not give much attention to this dynamic change of applications. In this paper, we propose an application awareness system in order to solve this problem. The application awareness system can provide the information, such as the usage trend of conventional applications and the emergence of new applications by recognizing the application name in a rapidly changing network environment. In order to recognize the application name, the Host field of HTTP protocol has been utilized. The proposed mechanism consists of two steps. First, the system generates the candidates of application name by extracting the domain name from the Host field in HTTP packet. Second, the administrator confirms the name afterward. The validity of the proposed system has been proved through the experiments in campus network.
Flexible learning activities fostering autonomy in teaching training

The flexible use of digital recordings from EFL classrooms as well as online communication with teaching experts are two promising ways of implementing e-learning in the context of initial teacher training. Our research focuses on how to blend these elements efficiently with the different theoretical and practical content layers of an introductory course “Teaching English as a Foreign Language” to foster the development of critical, reflective thinking of prospective teachers of English and to empower the learners. In this paper we discuss the concept of autonomy as a course strategy and argue that enabling a student to take responsibility and to make informed choices is the main route to an autonomous learner. We introduce and analyze learning activities such as working with multimedia-based case stories that include video episodes as situational anchors and conducting an einterview. These learning activities are two formats that integrate elearning and contact learning in a directed, interactive way to foster the learner’s autonomy. The study is a follow-up of a pilot study on blended learning in a teacher training course and was conducted as action research in the 2004/05 winter semester. It combines qualitative and quantitative research methods and integrates multiple perspectives on the teaching and learning scenarios.
The Influence of Teachers’ Technology Use on Instructional Practices

Abstract This study investigated the relationship between technology use and skills and the use of constructivist instructional practices among teachers in rural schools. Teachers in this study responded to Moersch’s instrument, the Levels of Technology Implementation (Lo Ti). The Lo Ti was administered to the fourth and eighth grade teachers in 11 school districts to determine if levels of classroom technology use and personal computer use predicted the use of constructivist instructional practices. Results indicate that there is a significant, positive relationship between both levels of classroom technology use and personal computer use and the use of constructivist instructional practices, with personal computer use being the strongest predictor.
Towards an interactive spatial product visualisation: a comparative analysis of prevailing 3D visualisation paradigms

This paper reviews and analyses the emerging three-dimensional (3D) displays, categorises them according to criteria that describe the common features of target applications and identifies the appropriate type of 3D visualisation paradigm for spatial visualisation of products. The desirable features and requirements for spatial product visualisation technologies are compiled and used as the basis for comparing possible visualisation paradigms. Comparatively, the devices that display accessible images in an actual volume of space better match spatial product visualisation demands. However, only a subset of these demands is met. A more robust 3D visualisation means is therefore required. What is actually needed is an interactive 3D visualisation means that allows viewers to access 3D images directly in 3D space (e.g., by using natural modes of communication such as hand motions), facilitates collaboration and shows virtual products in their real context.
An Automatic Target Recognition Algorithm Based on Support Vector Machine

To improve the performance of automatic target recognition technology and solve the problems of traditional methods, such as high false alarm rate and poor adaptability to environment changes, a new algorithm based on support vector machine is proposed. We have realized the feature extraction of the target and the parameter optimization of the support vector machine to get the support vector machine model applied to the target recognition of unknown images. Experiment results show that the algorithm has a good recognition effect, a fast recognition speed and certain anti-interference abilities based on sufficient samples training.
Fast Level Set Segmentation of Biomedical Images using Graphics Processing Units

I am aware of the University's disciplinary regulations concerning conduct in examinations and, in particular, of the regulations on plagiarism. The project report I am submitting is entirely my own work except where otherwise indicated.  It has not been submitted, either wholly or substantially, for another Honour School or degree of this University, or for a degree at any other institution.  I have clearly signalled the presence of quoted or paraphrased material and referenced all sources.  I have acknowledged appropriately any assistance I have received in addition to that provided by my supervisor.  I have not sought assistance from any professional agency.  The project report does not exceed 50 pages (including all diagrams, photographs, references and appendices).  I agree to retain an electronic version of the work and to make it available on request from the Chair of Examiners should this be required in order to confirm my word count or to check for plagiarism. ii Acknowledgments I would like to greatly thank my supervisors Dr Julia Schnabel and Dr Vicente Grau for their excellent guidance in this project. Their ability to point out the subtle technicalities of biomedical image and volume segmentation proved an invaluable resource. I would also like to thank Professor Mike Giles and Daniel Goodman for their guidance in CUDA programming. I found the weekly CUDA meetings led by Professor Mike Giles a very helpful forum to learn advanced CUDA programming techniques, whilst keeping up with any developments with respect to CUDA. At the outset of this project, I had very limited knowledge in the areas of biomedical image segmentation and implementations thereof. A vast literature review of level set segmentation techniques was required in order to take the knowledge gained from C6 Medical Image Analysis course to engineer an initial implementation. As my knowledge of C was initially fairly basic, this first implementation was written in MATLAB using the Image Processing Toolbox. In order to optimize the algorithm, new skills had to be learnt for the development of a faster sequential C-language algorithm and a much faster parallel algorithm. For the sequential C-language algorithm, extensive knowledge and experience with pointers and arrays needed to be acquired alongside learning OpenGL for visualization. Optimizing further, in order to engineer the significantly faster parallel algorithm, a significant amount of time needed to be spent learning and experimenting with the NVIDIA CUDA …
Multiple retransmission strategy-based HARQ for MIMO systems with acknowledgment bundling

A new hybrid automatic repeat request (HARQ) scheme is proposed for multiple-input multiple-output (MIMO) systems when the acknowledgment (ACK) bundling is applied for packet retransmissions. In the proposed HARQ scheme, both Chase combining (CC) and incremental redundancy (IR) are utilised for a retransmission request, and the proposed HARQ scheme is called a multiple retransmission strategy-based HARQ (MRS-HARQ). During the reception process of the MRS-HARQ, IR packets obtain signal-to-noise ratio gains using the extended detection with CC packets and the improved IR packets are utilised to eliminate the interference from the CC packets. This sequential reliability improvement allows the MRS-HARQ to decrease the occurrence of the deficient transmissions, and the proposed MRS-HARQ can achieve an improved error performance and throughput over the conventional CC-based and IR-based HARQ schemes with the ACK bundling.
Framework research of semantic sharing and interoperability of geospatial information

Knowledge sharing and semantic interoperability is a significant research theme in Geographical Information Science (GIScience) because many researchers believe that semantic heterogeneity has been identified as the main obstacle for GIScience development. Interoperability issues can exist at three levels: syntactic, structural (also called systemic) and semantic. The former two, however, can be achieved by implementing international or domain standards proposed by several organizations, for example, Open Geospatial Consortium (OGC), World Wide Web Consortium (W3C) and the International Organization for Standardization/Technical Committee for Geographic information/Geomatics (ISO/TC 211). In this paper, we are concentrating on semantic interoperability, which is the sort of topic that halt conversations and cause people's eyes to glaze over, from two aspects: data/information/knowledge and operation/processing. We presented a service-centered architecture for semantic interoperability of geospatial data and processes. OGC standards like Web Feature Service (WFS) and Web Map Service (WMS) have been employed as normative interfaces for analyzing requests, division requests and delivering small requests. Ontology has been introduced to describe distributed resource including various data and geo-processing operations. The role of interoperability, especially from semantic perspective, has been distinguished at the first section in this paper. As a fundamental principal, the following section introduces semantic web, web service and other related works at this orientation. We present our service-based architecture in detail and its simple application at part three. Conclusion and further orientations have been illustrated at last section.
USING CLICKERS IN A NEGOTIATION EXERCISE: ENGAGING STUDENTS IN ACTIVE LEARNING

In this session, participants will use clickers in an actual negotiations exercise and will experience how students can gain hands-on experience in planning and preparing for a distributive (win-lose) negotiation. The session will use experiential learning to illustrate how hand-held clickers facilitate active learning and maximize class time efficiency. Tactical strategies for using the exercise in two different classroom contexts will be discussed--a fullsemester Negotiation class and an OB class session on conflict management and negotiation. Results from a survey of students’ perceptions after using clickers in these two classrooms will also be presented. Finally, an interactive dialogue will focus on learning opportunities and the challenges and/or pitfalls of using clickers for classroom exercises.
Application of Research Paper Recommender System to Digital Library

AbstractThe progress of computers and Web has given rise to a rapid increase of the quantity of the useful information, which is making the demand of recommender systems widely expanding. Like in other domains, a recommender system in a digital library is important, but there are only a few studies about the recommender system of research papers, Moreover none is there in korea to our knowledge. In the paper, we seek for a way to develop the NDSL recommender system of research papers based on the survey of related studies. We conclude that NDSL needs to modify the way to collect user's interests from explicit to implicit method, and to use user-based and memory-based collaborative filtering mixed with contents-based filtering(CF). We also suggest the method to mix two filterings and the use of personal ontology to improve user satisfaction. ■ keyword :∣Recommender System ∣Personalisation ∣Collaborative Filtering ∣Digital Library ∣ 접수번호 : #101014-002 접수일자 : 2010년 10월 14일 심사완료일 : 2010년 11월 25일교신저자 : 박영욱, e-mail : ywpark@kisti.re. kr