Miracle-dz/UniFAR-FTUs huggingface dataset:
Foreign as native: Baltic amber in Florence

Most amber artefacts in early modern Medici collections originated in the Prussian cities of Danzig and Königsberg. Despite this connection, the Florentine painter Santi di Tito depicted the material from which these artefacts were made as native to Italy. One of the sources for this misapprehension was Ovid’s Metamorphoses, a classical poem that locates the occurrence of amber on the banks of the river Eridanus – widely associated with the Po in early modern Italy. In Ovid’s narrative, amber took its luminous form from the metamorphosis of the daughters of the Sun into trees. It was their hardened tears that gave rise to the new material. In this account, amber signalled a transformation from liquid to solid, its lustrous materiality lending credibility to Ovid’s narrative. Referring to the physical and olfactory attributes of amber, this article explains why the Ovidian myth was at times given more credence than the early modern naturalist tracts that situated amber deposits on the Prussian littoral. The mechanism of this discursive framing is explored here with a focus on how sensory perception is rooted in culturally bound values and beliefs.
Physics Laboratory Experiments

This market-leading manual for the first-year physics laboratory course offers a wide range of class-tested experiments designed specifically for use in small to mid-size lab programs. A series of integrated experiments emphasizes the use of computerized instrumentation and includes a set of "computer-assisted experiments" to allow students and instructors to gain experience with modern equipment. This option also enables instructors to determine the appropriate balance between traditional and computer-based experiments for their courses. By analyzing data through two different methods, students gain a greater understanding of the concepts behind the experiments. The Seventh Edition is updated with the latest information and techniques involving state-of-the-art equipment, and a new Guided Learning feature addresses the growing interest in guided-inquiry pedagogy. Fourteen additional experiments are also available through custom printing.
Camera-based bar code recognition system using neural net

In this paper, a bar code recognition system using neural networks is proposed. It is well known that in many stores the laser bar code reader is adopted at check-out counters. However, there is a major constraint when this tool is used. That is, unlike traditional camera-based picturing, the distance between the laser reader (sensor) and the target object is close to zero when the reader is applied. This may result in inconvenience in store automation because human operator has to take care of either the sensor or the objects (or both). For the purpose of store automation, human operator has to be removed from the process, i.e., a robot with visual capability requires to play an important role in such system. In this paper, we propose a camera-based bar code recognition system using backpropagation neural networks. The ultimate goal of this approach is to use camera instead of laser reader such that store automation can be achieved. There are a number of steps involved in the proposed system. The first step the system has to perform is to locate the position and orientation of the bar code in the acquired image. Secondly, the proposed system has to segment the bar code. Finally, we use a trained backpropagation neural network to perform bar code recognition task. Experiments have been conducted to corroborate the proposed method.
Neuro-fuzzy modelling and control of cooperative manipulators handling a common object

This paper presents a novel approach to controlling multiple manipulators handling a common object using a decomposed architecture that is composed of linguistic rules. A method is proposed here that separates the interconnections so that the resulting model of a link is decomposed into fuzzy IF-THEN rules. This model is then used to design a Lyapunov based fuzzy logic controller for the system by solving linear matrix equalities.
Combining Supervised Attribute Clustering And Ga-Svm Classifier For Microarray Sample Classification

Microarray technique is used to record the expression levels of thousands of genes simultaneously.Only a small part of these genes will be useful for performing a certain diagnosis.A supervised attribute clustering is used to find such initial groups of clusters. [1][2] One of the main tasks with the expression data is to find groups of tightly coupled genes that is more functional or meaningful in nature After forming the clusters, a GA-SVM based predictor is used to accurately classify the generated clusters. [4]With the help of Genetic Algorithm it helps optimizing the clusters and also to avoid the spurious genes that are added in the ealier stages of clustering.The supervised attribute clustering acts as an aid for the actual microarray classification. Thereby it helps to increase the classification and predictive accuracyof the GA-SVM based classification . It also retains the informative structure of the data and provides excellent predictive capability for accurate medical diagnosis. [10] Index terms __ Microarray Analysis, attribute clustering, Genetic Algorithm, SupportVector Machine, Classification.
Heterogeneous Clustering for Secure, Energy-efficient and Fault tolerant Permutation Routing in Wireless Sensor Networks

In wireless sensor networks (WSNs), security and economy of energy are two important and necessary aspects to consider. Particularly, security helps to ensure that such a network is not subject to attacks that involve reading, modification or destruction of information. This paper presents a protocol for permutation routing, which is secure, fault tolerant and energy-efficient. The proposed protocol is based on two main principles. First, the use of a heterogeneous hierarchical clustered structure to assign the most important roles to the sensors having the most energy, in order to ensure the protection and routing of data items. Second, the use of multiple processes based on this structure to ensure, regardless of network and sensors status, no data is lost and that a data item from a point A to a point B always arrives safety. This is the first protocol that provides such a QoS per permutation routing.
Pelestarian Bangunan Kolonial Belanda di Jalan Pemuda Depok

Kota Depok merupakan salah satu daerah yang memiliki kaitan erat dengan sejarah masa kolonial Belanda. Bangunan kolonial Belanda di jalan Pemuda Depok memiliki karakter yang khas. Namun lambat laun terjadi penurunan fungsi dan fisik bangunan yang ditandai dengan beberapa bangunan kolonial Belanda yang berubah fungsi bahkan ada beberapa bangunan kolonial Belanda yang dihancurkan. Studi ini bertujuan untuk mengidentifikasi dan menganalisis karakter visual dan karakte spasial bangunan kolonial Belanda di Jalan Pemuda Depok, serta menganalisis dan menentukan strategi pelestarian yang sesuai untuk mempertahankan karakteristik bangunan kolonial Belanda di Jalan Pemuda Depok. Metode yang digunakan dalam studi ini adalah metode kualitatif menggunakan pendekatan dengan tiga metode, yaitu metode deskriptif, metode evaluatif dan metode development. Hasil studi menunjukan elemen-elemen visual dan spasial yang masih asli banyak ditemukan pada kelompok kategori bangunan A dan B, sedangkan kelompok kategori bangunan C dan D telah mengalami beberapa perubahan. Pada kategori C perubahan terjadi pada elemen eksterior dan elemen interior, sedangkan pada ketegori D perubahan didominasi pada elemen interior. Arahan pelestarian pada bangunan kolonial di Jalan Pemuda Depok, diklasifikasikan ke dalam tiga kelas elemen-elemen bangunan potensial, yaitu potensial tinggi, potensial sedang dan potensial rendah, kemudian dari tiga tingkatan potensial tersebut ditentukan strategi pelestarian yang sesuai dengan kondisi masing-masing elemen bangunan tersebut. Kata Kunci: pelestarian bangunan, bangunan kolonial, karakter visual, karakter spasial
Semantic Integrity in Component Based Development

Due to the distributed nature of the growing field of Component Based Software Engineering (CBSE) and the increasing complexity of modern systems, the semantic aspects of software components must be well specified. In this literature survey, we have investigated how semantic integrity aspects are promoted and managed for components. The importance of semantic aspects and of preserving the semantic integrity is well known and well understood in academia for traditional object-oriented (OO) programming. Although component based programming has many similarities with OO programming, there are certain differences which may cause the semantic integrity to be managed differently. In component-based development, when components are downloaded to be used in systems that may or may not behave well, the responsibilities for the functionality and robustness are not as clear as in traditional programming
Automatic Multiple Choice Question Generation System for Semantic Attributes Using String Similarity Measures

This research introduces an automatic multiple choice question generation system to evaluate the understanding of the semantic role labels and named entities in a text. The system provided selects the informative sentence and the keyword to be asked based on the semantic labels and named entities that exist in the sentence, the distractors are chosen based on a similarity measure between sentences in the data set. The system is tested using a set of sentences extracted from the TREC 2007 dataset for question answering. From the experimental results, it can be induced that the semantic role labeling and named entity recognition approaches could be used as a good keyword selection mechanism. The second conclusion is that the string similarity measures proved to be a very good approach that can used in generating the distractors for an automatic multiple choice question. Also, combining the similarity measures of different algorithms would lead to generate a good distractors.
Teaching engineering design with humanities and social sciences companion courses

The paper documents the first year process and product evaluation of the NSF-sponsored Foundation Coalition (FC) project at Texas AM all qualified women and minorities who applied were accepted, and others were accepted on a waiting list in order of application. Entry characteristics indicated that the students did not differ from the freshman class. FC student achievement in physics and calculus and attitudes toward coalition engineering goals were assessed both fall and spring. Separate comparison groups were selected fall and spring. Results indicated that the FC group scored almost identically to the comparison group on the initial testing. For the spring testing the FC group outscored the comparison group statistically on the physics and calculus tests, and all scales of the California Critical Thinking Test except Analysis (no difference). Student attitudes improved for the value of homework, lifelong learning, and decreased in their overall evaluation of engineering.
Are you reaching your audience

Purpose – This paper aims to analyze the intersection of LibGuide authors (producers) and LibGuide users (consumers) at University Library, Cornell University, New York, USA. In consideration of this previous finding, the authors felt it was vital to address the question of how Cornell University Library (CUL) LibGuides can better serve Cornell’s user base. By posing questions such as, “what are authors’ intentions in creating LibGuides” and “how are local users finding, accessing and/or engaging with LibGuides”, this paper hopes to make nuanced recommendations to authors. Design/methodology/approach – This paper addresses two key pieces of data: browser search terms from the Springshare log files and interviews from authors of 20 different LibGuides. The author interviews gave us insight into the purpose, use and marketing of specific library guides for CUL, while browser search terms revealed how our users constructed Internet searches that resulted in that hit on a CUL LibGuide. Findings – Data uncover.
Optimised Linux swap system for flash memory

Proposed is an optimised Linux swap system, called SGBI, where the Linux kernel manages the flash memory-based swap area directly without FTL. This approach not only introduces an efficient swap-aware garbage collection policy to reduce its cleaning cost and improve the degree of wear-levelling, but also adopts an efficient swap-in read-ahead scheme to delay the execution of garbage collection. Swap I/O traces from the Linux kernel have been collected and trace-driven simulations performed, which show that the proposed approach greatly outperforms existing Linux swap systems.
Associative memory neural networks for information retrieval of text word pairs

Natural language information processing remains a challenge in linguistics. Existing methods for retrieval of text often use stemming to retain common roots and base recall on these root words. This requires the removal of stop words, e.g., numbers, symbols, high frequency bid low semantic weight words, thereby precluding phrases using these words. In addition stemming is a morphologic approach that cannot readily process homonyms, synonyms and certain inflectional and derived forms. Machine learning approaches assign words to categories, but application to a large corpus remains in debate. For this study, we describe the application of the Cortronic theory and methods developed by Robert Hecht-Nielsen (2002) to information retrieval of text word pairs. Hecht-Nielsen's theories build on associative memory artificial neural networks (AMNNs) introduced by Steinbuch (1961) and extended by Willshaw et al. (1969) especially in regards sparseness. The AMNNs are used to process a large corpus without excluding stop words, and retain the joint probability of mutual occurrences that allows rapid retrieval of word pairs. This AMNN approach includes three key components: representation of arbitrary objects (words), learning and knowledge accumulation based on measurement of co-occurrence and use of all the learned knowledge to produce (predict) the missing word in a phrase.
Introduction to the Approach

This introductory chapter of the book describes ? >scientific ? > approach to writing for scientists and engineers and provides some suggestions for using the book. Clear written communication can be approached as a set of principles, each of which is substantiated by sound underlying reasons. Some of these principles are stated in the chapter. The intention of the book is to: (1) unveil these principles and others, (2) explain the reasoning behind them, and (3) demonstrate their validity through numerous examples gleaned from technical writing. In the book, the author follows the narrow-to-broad (inductive) approach that is more familiar to scientists and engineers. In this approach to technical writing, the scientist or engineer, whether a practitioner or student, would first develop an ability to write clear sentences before combining sentences to form paragraphs and combing paragraphs to make an argument.
Assessing Language Production in Children: Experimental Procedures

1. Collecting and Recording Speech Samples. 2. Procedures for Analyzing Free-Speech Samples. 3. A Comparison of Six Structural Analysis Procedures. 4. Exploring Children's Communicative Intents. 5. Elicited Production. 6. Elicited Imitation. 7. Interpretation.
An ADVANCELL 1.0 mainframe chipset-2.2 million transistors on 11 ICs

A CMOS mainframe chipset of 11 VLSI ICs and a total of 2.2 million transistors aiming at the computing power of previous ECL machines has been developed. The IC design and layout was done by means of proprietary CAD systems using the ADVANCELL 1.0 cell library and high-performance support cells, as well as a special packaging technique. A hierarchical cell-based design methodology was applied by using Siemens tools for schematic capture and layout (VENUS) and a proprietary simulation and verification environment from chip- to system-level (PRIMUS), including automatic test pattern generation, testability rule-checking, and fault simulation. <<ETX>>
Primer of biostatistics : statistical software program version 6.0

Extremely popular, this student-friendly text presents the practical areas of statistics in terms of their relevance to medicine and the life sciences. Includes many illustrative examples and challenging problems that reinforce the author's unique and intuitive approach to the subject. This edition features a new two-color design, examples taken from current biomedical literature, and review questions within each chapter. The CD-ROM, available in May, is a menu-driven program that contains everything required to perform meaningful analysis of data and runs statistical tests providing advice on optimal test results.
Preview, perception and motor skill in piano sight-reading

Ten skilled and eleven less skilled sight-readers, advanced adult pianists, undertook two sets of studies. First, controlled preview experiments measured dependence of maximised sight-reading tempo on preview size with monophonic, two-part and four- part notation. Secondly, monophonic experiments measured isolated, sight-reading related perceptual and motor sub-skills: a transcription based error detection task and a test of visually unmonitored, unrehearsed output. All experiments employed tonally coherent and incoherent materials, with the aim of testing the theory that the ability of skilled readers lies in their use of larger preview than less skilled readers, courtesy of their greater sensitivity to musical structure. The skilled group sight-read consistently faster than the less skilled group, achieving larger effective preview with monophonic and four-part, but crucially not with two- part materials. Extra preview use with the former materials was found to be a source of only small gains, the evidence overall indicating skilled readers' faster performance to have been primarily dependent on a more efficient processing of smaller preview amounts than less skilled readers. Both skill groups demonstrated similar, limited tempo responses to the structural distinction in experimental materials, with no structural effect on preview for skilled readers. These results suggest, therefore, that the skilled group's superior performance was primarily due to perceptuo-motor factors. This finding is confirmed by the skilled group's faster performance on the two sub- skill studies. On the perceptual study, both groups display similar patterns of response and sensitivity to structure. In terms of motor skill, compared to less skilled readers, skilled readers are either better at unrehearsed output, non-visually monitored performance, or both. Finally, individual participant data suggest sight-reading to be a complex combination of skills: many participants show significant variation in performance across the studies, and there is evidence for a number of different factors limiting skill development amongst less skilled readers.
LVQ with a weighted objective function

In competitive learning neural network, pattern clustering is one of the main research areas. Many competitive neural networks are based on vector quantization. Depending on the method of choosing the representative weight vectors, competitive neural networks have a great variety of algorithms. In this paper, an algorithm, a variety of GLVQ, is proposed and is compared with other algorithms. It is shown from simulation results that the proposed algorithm gives better performance than other algorithms in clustering.
3D-inputgegevens voor geluidssimulaties gegenereerd uit bestaande landsdekkende datasets

Geluid is een groot probleem in stedelijk gebied. Om geluidsoverlast te verminderen, voeren vele overheidsorganisaties op allerlei niveaus geluidstudies uit. Geluidssimulatie is hierin een belangrijk onderdeel. De reken methode voor de simulatie van geluid is in Nederland gestandaardiseerd. Maar de benodigde 3D-inputgegevens worden voor iedere geluidstudie opnieuw gecreeerd. Dit is niet efficient, maar evenzo belangrijk is dat verschillen in inputgegevens kunnen leiden tot verschillen in de uitkomsten. Daarom bekijken we in een samenwerking van RIVM, Rijkswaterstaat, het Kadaster, IPO en de TU Delft hoe de benodigde inputgegevens over de fysieke ruimte automatisch kunnen worden gegenereerd uit landsdekkende gegevensbronnen zoals de BGT, de BAG en het AHN en voor overheden beschikbaar kan worden gesteld.
First ACM SIGPLAN Workshop on Languages, compilers and Hardware Support for Transactional Computing

Recent years have seen the development of several different systems for software transactional memory (STM). Most either employ locks in the underlying implementation or depend on threadsafe general-purpose garbage collection to collect stale data and metadata. We consider the design of low-overhead, obstruction-free software transactional memory for non-garbage-collected languages. Our design eliminates dynamic allocation of transactional metadata and co-locates data that are separate in other systems, thereby reducing the expected number of cache misses on the commoncase code path, while preserving nonbloclung progress and requiring no atomic instructions other than single-word load, store, and compare-and-swap (or load-linkedlstore-conditional). We also employ a simple, epoch-based storage management system and introduce a novel conservative mechanism to make reader transactions visible to writers without inducing additional metadata copying or dynamic allocation. Experimental results show throughput significantly higher than that of existing nonblocking STM systems, and highlight significant application-specific differences among conflict detection and validation strategies. General Terms transactional memory, nonblocking synchronization, obstruction freedom, storage management, visible readers
Evidence accumulation & flow of control

A fundamental goal of computer vision is the development of systems capable of carrying out scene interpretation while taking into account all the available knowledge. In this article, we focus on how the interpretation task can be aided by the expected scene information (such as map knowledge), which, in most cases, would not be in registration with the perceived scene. The proposed approach is applicable to the interpretation of scenes with three-dimensional structures as long as it is possible to generate the equivalent two-dimensional orthogonal or perspective projections of the structures in the expected scene. The system is implemented as a two-panel, six-level blackboard and uses the Dempster-Shafer formalism to accomplish inexact reasoning in a hierarchical space. Inexact reasoning involves exploiting, at different levels of abstraction, any internal geometric consistencies in the data and between the data and the expected scene. As they are discovered, these consistencies are used to update the system's belief in associating a data element with a particular entity from the expected scene.
English Language for Teachers (EL4T): a course for EFL teachers

This paper reports on the design and implementation of EL4T in a large-scale project. EL4T is a self-study mobile technology-based ESP course designed to enhance Bangladeshi school English language teachers’ English language skills and pedagogical practices. Key implications of developing this course for ESP in EFL contexts will be presented.