Miracle-dz/UniFAR-FTUs huggingface dataset:
Integrated modeling systems for 3D vision

: A joint project between the Interdept. Research Center of the University of Padova (CIRGEO) and Dr. Richard. M. Levy, teaching Professor at the Faculty of Environmental Design of the University of Calgary (Canada), has been undertaken aimed to the generation of a full 3D model of an historical building and the surrounding environment, based on a terrestrial laser scanning survey. The main goal of this project is to provide a 3D representation where two different contents are merged together: the object’s geometry on one hand and a set of related historical and cultural information on the other hand. Indeed, through suitable VR authoring tools, like the Virtools Dev. software, it is now possible to build VR environments around laser scanning-based 3D models, which allow the user with a certain level of interaction with the model itself. This solution opens interesting perspectives towards the use of 3D models as a mean to promote the national Cultural Heritage content among remote people: portable cave systems, comprising of double projector devices, stereo 3D converter and a wide screen display, could be profitable employed to this end. In this paper we report the first results of our VR project, i.e. creating a TLS-based 3D model of the church of Pozzoveggiani, an ancient historical building located 15 km south of Padua (Italy). The second stage of the work, i.e. the generation of an interactive VR environment based on such 3D model is still in progress at current date. Therefore we will focus here on different issues related to the generation of a fully closed model of a complex structure, a situation frequently found in the Cultural Heritage field.
The Simpsons and Their Mathematical Secrets

THE SIMPSONS AND THEIR MATHEMATICAL SECRETS by Simon Singh Bloomsbury, New York, 2013,253 pp. ISBN: 978-1-620040-277-1In his book. The Simpsons and their Mathematical Secrets, Simon Singh discusses the role that mathematics plays in the popular and longrunning TV series, The Simpsons, as well as in the sister series, Futurama, a parody of science fiction.As Singh points out, in addition to humor, many of the shows in the two series also contain considerable intellectual content. The strong mathematics connection is described in one of my favorite lines in the book: "All these philosophers, psychologists, theologians, and politicians have missed the primary subtext of the world's favorite TV series. The truth is that many of the writers of The Simpsons are deeply in love with numbers, and their ultimate desire is to drip-feed morsels of mathematics into the subconscious minds of viewers. " (p. 2)From major themes in the plot to short-lived background material in both series, the book chronicles many of these mathematical references. Singh also explains in considerable detail the backgrounds of the writers who joyfully include mathematics in the scripts. Several writers for both of these series have B.S., M.S, and Ph.D. degrees in mathematics or computer science. Of course, much of the mathematics- and science-based intellectual philosophy comes from the shows' creator and co-producer, cartoonist Matt Groening.Singh focuses on episodes that contain considerable mathematics, either in the story line or in the background. The very first episode of The Simpsons, "Bart the Genius," is one of these and even contains a calculus scene, a topic that frequently recurs. In another math-filled portrayal, in one of the annual Halloween episodes entitled "Tree House of Horror VI", Singh writes: "In one sequence alone, there is a tribute to history's most elegant equation, a joke that only works if you know about Fermat's last theorem, and a reference to a $1 million mathematics problem. All of this is embedded within a narrative that explores the complexities of higherdimensional geometry. " (p. 3) Other recurring themes include n, e, infinity, prime numbers, perfect numbers, math puzzles, number basis, network graphs, fractals, sabermetrics, square roots, and the Pythagorean Theorem. And perhaps even more prevalent are the many references to mathematical history and biography. There is plenty of interesting mathematics in these comedic and popular TV shows.Futurama is probably more mathematical than The Simpsons because its co-producer, David Cohen, has a strong interest and background in mathematics. …
Units: Universal True SDSA (Structure-Dependent Sequence Alignment)

Motivation: The Universal True SDSA (Structure-dependent Sequence Alignment), or UniTS, program calculates the most probable amino acid sequence alignment derived from multiple superimposed protein three-dimensional structures. Additionally, utilizing this newly generated SDSA, UniTS calculates improved quality assessment scores (e.g., RMSD, etc.) for the superimposed protein structures. Although other algorithms have been developed to derive an amino acid sequence alignment from aligned protein three-dimensional structures utilizing atomic proximity, none of these appropriately manages multiple residue matches, prevents the incorrect ordering of residues, and sequentially aligns structurally nonconserved regions. UniTS compensates for the weaknesses inherent in residue profile-based SDSA programs and structural alignment programs. Unlike the residue profile-based SDSA programs utilized as precursors to threading and homology modeling, UniTS is truly structure-dependent. Results: The results presented herein demonstrate that UniTS calculates the universal sequence alignment for the complete protein compared to the partial sequence alignment derived from structural alignment programs. Furthermore, these results demonstrate the capability of UniTS to refine the sequence alignment input into a superpositioning program and utilize this refined alignment to calculate improved structural quality assessment scores. Finally, the quality score generation capabili
MORPHOSOURCE: ARCHIVING AND SHARING 3-D DIGITAL SPECIMEN DATA

Advancement of understanding in paleontology and biology has always been hindered by difficulty in accessing comparative data. With current and burgeoning technology, the severity of this hindrance can be substantially reduced. Researchers and museum personnel generating three-dimensional (3-D) digital models of museum specimens can archive them using internet repositories that can then be explored and utilized by other researchers and private individuals without a museum trip. We focus on MorphoSource, the largest web archive for 3-D museum data at present. We describe the site, how to use it most effectively in its current form, and best practices for file formats and metadata inclusion to aid the growing community wishing to utilize it for distributing 3-D digital data. The potential rewards of successfully crowd sourcing the digitization of museum collections from the research community are great, as it should ensure rapid availability of the most important datasets. Challenges include long-term governance (i.e., maintaining site functionality, supporting large amounts of digital storage, and monitoring/updating file to prevent bit rot, which is the slow and random corruption of electronic data over time, and data format obsolescence, which is the problem of data becoming unreadable or ineffective because of the loss of functional software necessary for access), and utilization by the community (i.e., detecting and minimizing user error in creating data records, incentivizing data sharing by researchers and institutions alike, and protecting stakeholder rights to data, while maximizing accessibility and discoverability). MorphoSource serves as a proof-of-concept of how these kinds of challenges can be met. Accordingly, it is generally recognized as the most appropriate repository for large, raw datasets of fossil organisms and/or comparative samples. Its existence has begun to transform data transparency standards because journal reviewers, editors, and grant officers now often suggest or require that 3-D data be made available through this site.
A high-frequency low-power sinusoidal quadrature oscillator using only CMOS current mirrors

A high-frequency low-power sinusoidal quadrature oscillator is presented through a new technique using only CMOS current mirrors. The technique is relatively simple based on (1) internal capacitances of CMOS current mirrors and (2) a resistor of a CMOS current mirror for a negative resistance. No external capacitances or inductances are required. As a particular example, a 3.02-GHz, 0.4-f/sub T/, 0.31-mW, CMOS sinusoidal quadrature oscillator has been demonstrated. The oscillation frequency (f/sub 0/) is 3.02 GHz. The ratio of (f/sub 0//f/sub T/) is 0.4. The power consumption is low at approximately 0.31 mW. Total harmonic distortions (THD) are less than 0.3%. The oscillation frequency is current-tunable over a range of 660 MHz or 21.85%. The amplitude matching and the quadrature phase matching are better than 0.029 dB and 0.15/spl deg/, respectively. A figure of merit called CNR/sub norm/ is 161.68 dBc/Hz at the 2 MHz offset from 3.02 GHz. Comparisons to other approaches are also presented.
Passive approaches for digital image forgery detection

With the advent of low-cost and high-resolution digital cameras, and sophisticated photo editing software, digital images can be easily manipulated and altered. It is possible to change the information represented by an image and create forgeries, which are indistinguishable by naked eye from authentic photographs. This calls for a reliable forgery detection system for digital images. Although good forgeries may leave no visual clues of having been tampered with, they may, nevertheless, alter the underlying statistics of an image making the forgery detection possible.
A Comprehensive Method for Automating Test Collection Creation and Evaluation for Retrieval and Summarization Systems

Test collections are a vital part of Information Retrieval research used to train learning algorithms, evaluate system performance, and create standards for comparisons across systems. For text summarization systems, evaluation usually utilizes a set of ideal information and a way to match that information to system-provided summaries. However, current manual methods are time intensive and automatic methods are naïve and inflexible. This work improves upon these methods, introducing automatic methods for aiding manual collection creation and extending test collections to improve their reusability. We discuss our procedure for semi-automatic test collection creation, detail a working interface for its use, and demonstrate its efficacy in multiple environments. We then describe our test collections, created to evaluate various types of summarization, along with algorithms for further improving the collections to better handle new systems’ results. We show state of the art performance on traditional matching datasets and provide near-perfect replication of manual system evaluation for our tasks. These algorithms provide automatic matching from the existing collection to novel submissions in three main ways. Word embeddings improve topicality detection and semantic similarity, rather than exact word matches or simple synonymy. N-gram based matches from existing submissions to novel submissions leverage assessing work and redundancy in original submissions. Finally, a theoretical matching framework trained using classic learning algorithms provides a method for fully automatic text matching. The framework is based on representing text pairs using information theoretic similarity along with graph minimum distance word pairings, giving insight into the matches along with the state of the art performance on both traditional matching datasets and near-perfect replication of manual system evaluation for our datasets.
Ranking and Recommendation of Query Form: A Survey

— In database research, there has been some scattered work with the programmed extraction of comparability/positioning capacities from a database. Relational database system supports the effective execution of complex queries. During Query Recommendations users employ query interface to issue a series of SQL queries in order to analyze the data and mine for interesting data. The ranking mechanism depends on captured user preferences. Whereas, the aim of Dynamic Query Form is to catch a users preference and rank query form components insisting him/her to take decision. This paper reviews dynamic query generation.
A 2-ns detecting time, 2- mu m CMOS built-in current sensing circuit

Built-in current testing is known to enhance the defect coverage in CMOS VLSI. An experimental CMOS chip containing a high-speed built-in current sensing (BICS) circuit design is described. This chip has been fabricated through MOSIS 2- mu m p-well CMOS technology. The power bus current of an 8*8 parallel multiplier is monitored. This BICS detects all implanted short-circuit defects and some implanted open-circuit defects at a clock speed of 30 MHz (limited by the test setup). SPICE3 simulations indicate a defect detection time of about 2 ns. >
Enhance Patient Medication Safety With A RFID-based Authentication Scheme

Medication Safety is an important issue for patients. Automated patient medication system using RFID technology is used to reduce the medication errors and improve the patient safety. In this paper, we show the weaknesses of Sonam Devgan Kaul et al’s authentication scheme. In order to enhance medication safety for patients, we propose a new lightweight RFID authentication scheme based on dynamic ID. This scheme only requires O(1) work to identify and authenticate a tag in the backend server and is particularly suitable for the low-cost RFID systems because only one-way hash function, XOR operation and concatenation operation are needed in tag part, so it is practical, secure and efficient for health care domain.
A Study on MRI Liver Image Segmentation using Fuzzy Connected and Watershed Techniques

- A comparison study between automatic and interactive methods for liver segmentation from contrast-enhanced MRI images is ocean. A collection of 20 clinical images with reference segmentations was provided to train and tune algorithms in advance. Employed algorithms include statistical shape models, atlas registration, level-sets, graph-cuts and rule-based systems. All results were compared to refer five error measures that highlight different aspects of segmentation accuracy. The measures were combined according to a specific scoring system relating the obtained values to human expert variability. In general, interactive methods like Fuzzy Connected and Watershed Methods reached higher average scores than automatic approaches and featured a better consistency of segmentation quality. However, the best automatic methods (mainly based on statistical shape models with some additional free deformation) could compete well on the majority of test images. The study provides an insight in performance of different segmentation approaches under real-world conditions and highlights achievements and limitations of current image analysis techniques. In this paper only Fuzzy Connected and Watershed Methods are discussed.
Biometric Identification using Electroencephalography

this paper, investigate the use of brain activity for person identification. A biometric system is a technological system that uses information about a person. Research on brain signals show that each individual has a unique brain wave pattern. Electroencephalography signals generated by mental tasks are acquired to extract the distinctive brain signature of an individual. Electroencephalography signals during four biometric tasks, namely relax, math, read and spell was acquired from 50 subjects. Features are derived from power spectral density. Classification is performed using Feed forward neural network and Recurrent neural network. The performance of the neural model was evaluated in terms of training, performance and classification accuracies. The results confirmed that the proposed scheme has potential in classifying the EEG signals. RNN is considerably better with an average accuracy of 95% for the spell task and 92% for the read tasks in comparison with a feed forward neural network. The results validate the feasibility of using brain signatures for biometrics study.
Handbook of Research in Mass Customization and Personalization

application of mass customization (MC) in businesses. We identified MC concepts, the research describes the key elements of MC, such as manufacturing technologies and strategies. According to Service Bundles and Tariffs,” Handbook of Research in Mass Customization and Personalization, 2009. (4) Chen, J. His research involves studying the design of everyday technology and its effects on culture and In F. T. Piller & M. M. Tseng (Eds.), A handbook of research in mass customization and personalization: Volume 1: Strategies and concepts (pp.
Understanding diagrams based on symbolic and spatial mapping

Diagrams have been used for over a millennium to communicate rich meaning for diverse purposes. Three major and persistent problems concerning our understanding of diagrams have been identified and must be addressed: 1. The variety of diagram types 2. Handling changes while retaining well formedness 3. Semantically mixed diagrams. A variety of both scientific and philosophical approaches to understanding diagrams is examined, and all are found unable to meet these challenges in full.
Selective convolutional neural networks and cascade classifiers for remote sensing image classification

ABSTRACT Training convolutional neural network (CNN) architecture fully, using pretrained CNNs as feature extractors, and fine-tuning pretrained CNNs on target datasets are three popular strategies used in state-of-the-art methods for remote sensing image classification. The full training strategy requires large-scale training dataset, whereas the fine-tuning strategy requires a pretrained model to resume network learning. In this study, we propose a new strategy based on selective CNNs and cascade classifiers to improve the classification accuracy of remote sensing images relative to single CNN. First, we conduct a comparative study of existing pretrained CNNs in terms of data augmentation and the use of fully connected layers. Second, selective CNNs, which based on class separability criterion, are presented to obtain an optimal combination from multiple pretrained models. Finally, classification accuracy is improved by introducing two-stage cascade linear classifiers, the prediction probability of which in the first stage is used as input for the second stage. Experiments on three public remote sensing datasets demonstrate the effectiveness of the proposed method in comparison with state-of-the-art methods.
A stable high-order delta-sigma modulator with an FIR spectrum distributor

A stable high-order delta-sigma modulator topology is presented. The topology can be completely stabilized for arbitrary order by a finite impulse response (FIR) spectrum distribution technique. The stability of the modulator is examined by means of the root locus method. The topology inherently has less sensitivity to component mismatch, and can be realized without any hardware penalty compared to noise-shaping integrators of the same order. The modulator realizes 16-b resolution at 20-kHz bandwidth when a filter order of four and an oversampling ratio of 64 are employed. >
Network Optimization for Distributed Memory File System on High Performance Computers

On high performance computers, each compute node’s demand for memory may be different. Building a distributed file system in idle memory can improve the memory utilization of the whole system. When memory takes place of disk, the Socket-based communication becomes the main bottleneck. As most of current high performance computers support RDMA, RBP (RDMA Buffer Pool) was referred to optimize the network performance of such an in-memory file system. MooseFS was adopted by RBP and deployed in TH-1A supercomputer. The experiment results showed that the RBPbased method could improve the speed of clients and the aggregate bandwidth of servers for sequential read and write significantly. For a single client, it increased the speeds of sequential read and write by a factor of 2.0~2.6. For a single server, it increased the collective bandwidths of sequential read and write by a factor of 2.0~2.4.
FOODSPERT (DYNAMIC NEWS FEED AND REAL TIME TRACKING FOR A FOOD DELIVERY ANDROID APPLICATION)

A proactive recommender system pushes suggestions to the client when the present circumstance appears to be proper, without unequivocal client ask. Imperative research questions incorporate whether clients would acknowledge proactive recommendations, how to display suggested things and perhaps tell clients. Our situation is a context-aware recommender for Android mobile phones. Also, our UI incorporates a perception of prescribed things and takes into consideration client input
THE CARDINALIST MANIFESTO: THE EPISTEMOLOGY OF THE MEASURABILITY OF UTILITY

a socialist economy is a better institutional framework for economic theory itself (1942, 1944). He also reaffirmed the social relevance of economics (in opposition to the supporters of the ‘‘compensation principle’’) through an important article on welfare economics (1942). Ultimately the two fields of research merged into an attempt at rewriting a more "generalized" economic theory (1945), not reliant on the tacit assumption of a capitalist system, but compatible with different institutional contexts, first and foremost that of a socialist society. The analysis of these periods of Lange’s evolutionary thinking led the author to conclude that the young Oskar Lange was indeed a key figure in the debates of the 1930s and 1940s, and his works were connected in a wider scientific project aimed at conjugating the higher discipline of scientific rigor with the maximum degree of social relevance. For this purpose, the Polish economist made a distinction between the ‘‘pure abstract’’ and the ‘‘effective’’ level of investigation. With the former, he generally accepted traditional theory, albeit with several qualifications and updates. With the latter, he explored many implications of Schumpeterian and Keynesian theories, though radicalizing them (in terms of policy). His entire body of literature from this period has, therefore, been interpreted as a fresh attempt to critique mainstream theory ‘‘from the inside,’’ motivated by its lack of realism.