Miracle-dz/UniFAR-FTUs huggingface dataset:
Digital Serious Game for Urban Planning: “B3—Design Your Marketplace!”

The main goal of this paper is to study the design and implementation of a digital serious game for civic engagement in urban planning. Digital serious games are games that aim to support learning in a playful and engaging way. Learning about the environment and planned changes is essential in civic engagement. The study case is taken from a city district, Billstedt, in Hamburg, Germany. In the implementation of a game concept we concentrated on the design of a marketplace in Billstedt. The game was called “B3—Design your Marketplace! ” The B3 game aims to provide a playful digital environment in which the citizens gain information about the current situation in the city district, have the possibility of submitting their own designs for the marketplace, vote for the preferred designs, and chat with the experts and other participants. The prototype of the B3 serious game was evaluated with a group of students and a group of elderly people. The majority of the participants involved in testing expressed appreciation for the digital serious game as a new form of online civic engagement in urban planning. The paper concludes with a discussion about the potential of digital serious games for civic engagement and open research questions.
Modeling of licensed PCS self-interference

Self-interference in personal communications services (PCS) systems is a real and acknowledged problem in both urban and rural areas. If left unresolved, it can impact the quality of service and system capacity. Self-interference is of particular interest to the commercial PCS industry, as more systems are being developed and implemented in already saturated areas. Since commercial PCS services are being considered for use in national security/emergency preparedness (NS/EP) situations, self-interference is becoming a concern of government and military agencies. A model of self-interference in PCS systems, which is applicable to other cellular, wireless technologies, has been developed by the Institute for Telecommunication Sciences (ITS). The developed methodology was applied to two existing PCS technologies: PCS 1900 (a narrowband time division multiple access (TDMA) system based on Global System for Mobile (GSM)), and IS-95-based code division multiple access; application to the remaining second-generation, as well as proposed second-and-a-half-and third-generation technologies is currently under way. The system-specific models are used to produce output noise and interference waveforms suitable for implementation in a real-time hardware channel simulator, or as a component of higher-level software simulations and models. Example outputs are given for simulations of both technologies, with corresponding statistical analyses of the noise and interference waveform properties. The models are particularly well-suited for independent PCS system evaluation by other Federal agencies, system manufacturers, and service providers.
A collaborating colleague model for inducting international engineering students into the language and culture of a foreign research environment

Practitioners of research in a particular field have extensive knowledge of how to operate successfully in that field and communicate effectively with others, within the boundaries of their own language and culture. However, when it comes to inducting novice researchers into these skills, difficulties are often encountered, and more so when the novice comes from a different language and cultural background. At the same time, specialists in English teaching or cross-cultural communication aiming to prepare novices to enter such a research environment often lack access to the details of how things are really done there. At The University of Adelaide, South Australia, this situation is being addressed through a new program for international postgraduate students in their first semester of enrolment. This Integrated Bridging Program (IBP) relies on collaboration between the discipline specialist researcher and language and learning specialists and is informed by the perspectives of systemic functional linguistics (SFL). This paper presents an overview of the IBP, followed by details of its operation in the Faculty of Engineering. Information is included on outcomes of the collaboration in specific instances, and how SFL theory has been applied to develop a flexible and effective induction which is highly valued by both staff and student participants.
A Theory of Language and Information: A Mathematical Approach

I Introduction: Overview Method II Theory of syntax: A theory of sentences Language structure: The system created by the constraints Metalinguistic apparatus within language On the mathematics of language III Grammatical analysis: Analysis of sentences Analysis of the set of sentences IV Subsets of sentences: Sentence sequences Sublanguages V Interpretation: Information The nature and development of language Index
Yacc: Yet Another Compiler-Compiler

Computer program input generally has some structure; in fact, every computer program that does input can be thought of as defining an ‘‘input language’’ which it accepts. An input language may be as complex as a programming language, or as simple as a sequence of numbers. Unfortunately, usual input facilities are limited, difficult to use, and often are lax about checking their inputs for validity. Yacc provides a general tool for describing the input to a computer program. The Yacc user specifies the structures of his input, together with code to be invoked as each such structure is recognized. Yacc turns such a specification into a subroutine that handles the input process; frequently, it is convenient and appropriate to have most of the flow of control in the user’s application handled by this subroutine. The input subroutine produced by Yacc calls a user-supplied routine to return the next basic input item. Thus, the user can specify his input in terms of individual input characters, or in terms of higher level constructs such as names and numbers. The user-supplied routine may also handle idiomatic features such as comment and continuation conventions, which typically defy easy grammatical specification.
Performance comparison of 2D assignment algorithms for assigning truth objects to measured tracks

The processing time requirements of several algorithms for solving the 2-d (also called single frame) linear assignment problem are compared, along with their accuracy given either random or biased measurement errors. The specific problem considered is that of assigning measurements to truth objects using costs that are the chi-squared distances between them. Performance comparisons are provided for the algorithms implemented both in a compiled language C or FORTRAN) as well as the interpretive MatLab language. Accuracy considerations show optimal assignment algorithm is preferred if biased measurement errors are present. The Jonker-Volgenant-Castanon (JVC) algorithm is the preferred approach considering both average and maximum solution time. The Auction algorithm finds favor due to being both efficient as well as easy to understand, but is never faster and often much slower than the JVC algorithm. Both algorithms are dramatically faster than the Munkres algorithm. The greedy nearest neighbor algorithm is an ad hoc solution to provide a sub-optimal but unique solution more cheaply than the optimal assignment algorithms. However, the JVC algorithm is as fast as the greedy for simple problems, marginally slower at hard problems, and is vastly more accurate in the presence of measurement biases.
The changes of umami substances and influencing factors in preserved egg yolk: pH, endogenous protease, and proteinaceous substance

The study investigated the changes of nucleotides, succinic acid, and free amino acids amounts in yolk and the causes leading to the changes after pickling to uncover the fundamental umami component of preserved egg yolk. The findings demonstrated that while the contents of 5′-adenosine monophosphate (AMP), 5′-cytidine monophosphate (CMP), 5′-guanosine monophosphate (GMP), 5′-uridine monophosphate (UMP), and succinic acid increased after slightly decreasing aspartic acid (Asp) content in preserved egg yolk increased gradually. The contents of 5′-inosine monophosphate (IMP) and other free amino acids were gradually decreased. Comparing the taste activity value (TAV), it was found that the single umami substance, succinic acid, played a key role in inducing the umami taste. In combination with the Spearman correlation analysis, it was shown that the proteinaceous substance, which is the most significant umami component in preserved egg yolk, tended to condense first and subsequently disintegrate in an alkaline environment. The orthogonal partial least squares analysis (OPLS) found that pH was also affected by the changes in proteinaceous substance. These findings offer suggestions for enhancing the pickling procedure and investigating the optimal pickling period for preserved eggs.
Use of New Information and Communication Technologies by UK Pressure Groups and the Developing World

Discusses the debate about whether or not the less developed countries of the world are going to be allowed greater access and control over their information. Looks at the results of a research project based on information gathering including appraisal of IT support services available and presents the main conclusions. Notes that it is not just the volume of people and groups using the new technologies in this field but the new ways and new applications to which the technology is being put that is so interesting.
Modeling as constrained problem solving: an empirical study of the data modeling process

Modeling is a powerful tool for managing complexity in problem solving. Problem solvers usually build a simplified model of the real world and then use it to generate a solution to their problem. To date, however, little is known about how people actually behave when building a model. This study concentrates on data modeling, which involves the representation of different types of data and their interrelationships. It reports on two laboratory studies, in which subjects engage in data modeling to solve a complex problem. Using a think-aloud process-tracing methodology, we examine the data modeling behavior as a set of activities that are managed by several heuristics. We found that some heuristics were effective in reducing the complexity of the problem. An important aspect we observed was how subjects moved across levels of abstraction in the problem representation. Overall, these observations help to explain how people deal with complexity in data modeling. They also suggest that it may be advantageous to design systems that support work at various levels of abstraction and support transitions among those levels.
Skew And Delay Optimization For Reliable Buffered Clock Trees

Recenily, seveml design auiomaiion approaches for delay and skew minimization of clock nets have been proposed. These approaches are based upon varying the widths and lengths of the clock tree wires io minimize skew and sometimes delay. Most of these iechniques do noi consider the clock iree power dissipation, occupied area, or the reliabiliiy of ihe resvlts with regard to the ineviiable process variations. In this paper, concurreni buffer insertion and global wire width adjusimenis are used to reliably reduce both delay and power from that obtained for a reliable buflerless soluiion. Moreover, in spite of ihe belief ihai ihe mismaich in bufler delays can resuli in significant clock skew, our resulis show ihai buflers can actually reduce the process dependent skew for a reliable design.
Reliving Past Scene Experience System by Inducing a Video-camera Operator's Motion with Overlaying a Video-sequence onto Real Environment

This paper propose and evaluate the Reliving Past Scene Experience system using augmented reality technology. This system overlays past scenes in video materials onto the real environment and makes users to experience how the camera operator captured the scene by inducing them to move as in the same way as the operator. By inducing users to move in the same way as the camera operator unconsciously, the system make them feel as if they look around in the past scene on their own will. For this purpose we proposed three induction techniques: induction for preventing unintentional movements, starting to move and appropriate rotation. We implemented these in a system which relives videos of old railways and exhibited it at THE RAILWAY MUSEUM for two weeks. Results of analyzing users' operational log and questionnaires suggest that proposed system and interaction techniques are effective to relive past scene experiences in real environment
Automatic object detection in point clouds based on knowledge guided algorithms

The modeling of real-world scenarios through capturing 3D digital data has been proven applicable in a variety of industrial applications, ranging from security, to robotics and to fields in the medical sciences. These different scenarios, along with variable conditions, present a challenge in discovering flexible appropriate solutions. In this paper, we present a novel approach based on a human cognition model to guide processing. Our method turns traditional data-driven processing into a new strategy based on a semantic knowledge system. Robust and adaptive methods for object extraction and identification are modeled in a knowledge domain, which has been created by purely numerical strategies. The goal of the present work is to select and guide algorithms following adaptive and intelligent manners for detecting objects in point clouds. Results show that our approach succeeded in identifying the objects of interest while using various data types.
On-package decoupling optimization with package macromodels

Suppressing clock-gating-induced noise at the chip-package interface is one of the most challenging power distribution integrity issues. In this paper, accurate and efficient assessment of the effectiveness of on-package decoupling is facilitated by package macromodels which compactly represent packaging parasitics among multiple on-package decoupling and on-chip ports. Based on such assessment, a simulated-annealing-based optimization procedure is developed with the goal of finding the most cost-effective on-package decoupling while meeting the noise budget.
A unified SPICE compatible average model of PWM converters

A simple, unified, and topology-independent model of basic pulse-width modulated (PWM) power converters is developed using the switched inductor approach presented by S. Ben-Yaakov (1989). The model is compatible with SPICE or other similar general-purpose electronic circuit simulators. It can be used to simulate DC, small signal, and transient behavior of PWM converters operating in both discontinuous conduction mode (DCM) and continuous conduction mode (CCM). During simulation, the model automatically follows the CCM and DCM operation, with fewer convergence problems compared to previous simulation models. An effective measurement technique using the HP3562A dynamic signal analyzer (DSA) is presented and applied to compare simulation runs with experimental data. The two were found to be in good agreement. >
Monitoring Nonlinear Batch Process Using Statis-Based Method

Industrial batch processing is widely used in a number of areas of industrial production. Data arising from such processes may present special characteristics; there is therefore a growing interest in the development of customized multivariate control charts for their monitoring. Here we investigate a recent approach that uses control charts based on the Statis method. Statis is an exploratory technique for measuring similarities between data matrices. However, the technique only assesses similarities in a linear context, i.e. investigating structures of linear correlation in the data. In this paper we propose control charts based on the Statis method in conjunction with a kernel for monitoring processes in the presence of nonlinearities. Through kernels we define nonlinear functions of data giving better representation of the structure to be characterized by the Statis method. The new approach is illustrated using simulated data.
The Dynamic Interface Representation of Web Sites using EMFG

Web designers generally use a story board, a site map, a flow chart or the combination of these for representing web sites. But these methods are difficult to represent the entire architecture of a web site, and may be not adaptive for describing the detail flow of web pages. To solve these problems to some degree, there were works using EMFG(Extended Mark Flow Graph) recently. However the conventional EMFG representation method is not adaptive to represent the dynamic interface of web sites because that cover only the static parts of a web site. Internet utilization is rapidly growing in our life and we cannot imagine the worlds of work, study and business without internet. And web sites recently have not only more complex and various architecture but also web pages containing the dynamic interface. Therefore we propose the representation method of these web sites - for example, a web site containing varying pages with time and varying page status or contents with mouse operations - using EMFG. We expect our work to be help the design and maintenance of web sites.
A V-Book framework of learning programming

This paper proposes the framework of a Virtual Book (V-Book) model for learning computer programming. The framework attempts to provide a dynamic and versatile environment for individual learning as well as for peer learning through the internet. There are three important entities in the V-Book model, namely the content component, the assessment component and the communication component. The content component will be implemented in the form of a computer assisted learning media. The assessment component will be implemented in the form of multiple-choices assessment and computer program assessment. Both of these assessments are online so that the learner will receive real time feedback. The communication component provides a platform which will be implemented in the form of a number of communication channels. These channels can be a chat room, demo room, whiteboard and/or a forum. A prototype of the V-Book has been developed for the purpose of studying the feasibility and operations of the V-Book model.
Normal writing processes and peripheral acquired dysgraphias

Abstract The cognitive operations involved in writing may be divided for convenience into central and peripheral processes. Central processes include semantic, syntactic and other sentence-level operations, along with those processes responsible for either retrieving from memory the spelling of a familiar word or assembling from sound a plausible spelling for an unfamiliar word or nonword. The end-product of these central processes is an abstract graphemic representation of words as letter strings. Peripheral writing processes translate that abstract graphemic representation into a range of possible output modes, including handwriting, typing, and spelling aloud. A model of peripheral writing processes is presented, concentrating on the processes responsible for creating handwritten output. A number of different peripheral acquired dysgraphias including mirror writing are then reviewed and interpreted in terms of impairment at different levels in the conversion of abstract graphemes into written letters a.
Discovery of the First in Class Drug for Intractable Itch, Nalfurafine Hydrochloride

Nalfurafine hydrochloride (1) was launched on March of 2009 in Japan as the first in class non-narcotic opioid drug for intractable itch caused by haemodialysis. Rational medicinal chemistry effort led us to obtain the morphinan derivative, which is a new chemical class of opioid κ-agonist without the [N-C-C-N(sp2)] pharmacophore sequence of the typical U-50488H derivatives. The applicability of “Message-Address Concept” and “Accessory Site Hypothesis” in the development of the opioid κ-agonist could also be proven. Nalfurafine hydrochloride (1) showed significant opioid κ-agonist activity and induced neither aversion nor preference in rats on the CPP (Conditioned Place Preference) test. No dependence sign was observed in monkey on the self-administration test. This compound was approved without legal narcotic nor psychotropic drug control after a clinical evaluation on human. Details on design rationale and medicinal chemistry of this novel drug will be discussed.
Towards Identifying and Disclosing Intellectual Capital

Intellectual capital (IC) is one of the most valuable assets of firms, which has a significant role in success and wealth creation of the entities. Although these assets do not meet recognition criteria of accounting standards and are not reflected in financial statements, but they exist and the evidence indicates that they can affect managers, investors and other stakeholders’ decisions. It is expected that companies have incentives voluntarily report information about IC, due to the benefits thereof. Moreover because of the latest changes in the conceptual framework, we can expect acceleration in the movement towards recognition, measurement and disclosure of IC. In this article first we present the definition and the most important elements of IC, and then different ways of measuring this asset in accounting will be discussed. In rest of the paper incentives for disclosing IC will be presented, in order that the attention of the standard setters is attracted to the latest developments in this field and also the attention of investors becomes focused on this important asset of companies.
Surrogate Assisted Evolutionary Algorithm for Multiobjective Optimization

Multidisciplinary design optimization (MDO) typically requires assessment of numerous designs, each of which involves computationally expensive analyses (computational fluid dynamics (CFD), finite element based methods (FEM), computational electromagnetics (CEM) etc.). Apart from using multiple processors, one way to contain the computational time of a MDO problem is to use cheaper approximations (surrogates) in lieu of the actual analyses during the course of optimization. A major problem in using surrogates within an evolutionary algorithm lies with its representation accuracy and the problem is far more acute for multiobjective (MO) problems where both the proximity to the Pareto front and the diversity of the solutions along the nondominated front are equally important. In this paper, we introduce a surrogate assisted evolutionary algorithm for multiobjective optimization that relies on a surrogate model based on Radial Basis Function (RBF) network. The optimization algorithm performs K generations based on actual function evaluations followed by S generations based on the surrogate model and is referred as K-S model. The accuracy of the surrogate model is maintained via periodic retraining and the number of data points required to create the surrogate model is identified by a k-means clustering algorithm. We compare the performance of our algorithm with and without surrogates on a number of standard MO test cases and engineering design examples.