Miracle-dz/UniFAR-FTUs huggingface dataset:
VLSI implementation for real-time extraction of direction vectors from binary images for pattern recognition applications

The border direction features of handwritten characters are used in some high accuracy pattern recognition systems. The speed of extracting the direction features in software implementation is generally low in compare with the speed of recognition itself. This paper therefore presents a 1.2 /spl mu/m CMOS VLSI implementation of directional feature extraction of binary images. The proposed method in this paper offers a potential vehicle to speed up the feature extraction part as well as the entire recognition system. <<ETX>>
Human perceptual issues in virtual environments: sensory substitution and information redundancy

This paper deals with one of the key problems when interacting with virtual environments (VE): finger force feedback during manipulation of virtual objects. In the real world, control of haptic interactions with objects is achieved using the kinesthetic/tactile information. In a VE, the presentation of such information requires a dextrous hand master that provides force feedback to different fingers. The presence of friction and/or time delays and the lack of tactile information in such devices reduce operator performance. In those cases, other sensory channels such as vision and audition could be used to replace (sensory substitution) or to supplement (information redundancy) the haptic channel. In this paper, we present the result of an experimental study aimed at investigating human performance during interactions with virtual objects through different sensory channels. This study was performed using the Rutgers VR distributed system. This system enable the users to receive force informations through the haptic, visual, or auditive channel. The experiment was performed using both partially immersive monoscopic and stereoscopic visual displays. Results indicate that redundant presentation of haptic information greatly increases performance and reduce error rates as compared to the open-loop case (with no force feedback). The best results were obtained where both direct haptic and redundant sound feedback were provided. Increment of task completion time when using visual force feedback suggest an overload of the visual channel.
Coordination Method on Cloud Computing Clusters

This paper makes the case for explicit coordination of network transmission activities among virtual machines (VMs) in the data center Ethernet to proactively prevent network congestion. We think that virtualization has opened up new opportunities for explicit coordination that are simple, effective, currently feasible, and independent of switch-level hardware support. We show that explicit coordination can be implemented transparently without modifying any applications, standard protocols, network switches, or VMs.
Resisting the smooth - Time-based interactive media in the production of distressed space

Time is central to architectural design, but to date has not been fully investigated through computational media. The works of Heidegger, Bergson, Virilio and Deleuze suggest that the study of the elusive concept of time has more to contribute to an understanding of the human condition than space. One can argue that contemporary society is being governed increasingly by temporal structures, as the space of the town square is replaced by time-based broadcasting and digital communications. This shift from space to time is commonly associated with the ideal of smoothing boundaries and developing seamless environments. Contrary to this supposition, we propose that the putative “collapse” of time and space exposes disjunction and disruption. We develop the notion of “distressed space” as part of a design strategy in the context of time-based media. We draw on examples from real-time 3D animation using the MAX/MSP/Jitter programming environment and discuss some of its implications for design.
Quantum Interferometry with Spinor Condensates

This thesis focuses on theoretical schemes concerning the preparation and characterization of both squeezed and entangled quantum states in the spinor Bose-Einstein condensate with a total spin F = 1. The subject matter of the study covers two issues, discussed in the publications [66, 68], and it also provides more insights into the topic. In the first part, we show that the equilibrium states of the spinor F = 1 Bose-Einstein condensate in the external magnetic field are highly entangled. This statement concerns both pure ground states and mixed by the temperature states (equilibrium in internal degrees of freedom), irrespectively of the system’s magnetization, which is a population difference between extreme Zeeman states. Aforementioned conclusion is based on the analytical and numerical studies of the quantum Fisher Information, which quantifies not only the metrological usefulness of quantum states for quantum interferometry, but also their entanglement depth. Regardless of the system’s parameters, the quantum Fisher Information has the Heisenberg scaling ∝ N2, where N is the total number of atoms. This means that the equilibrium states of the spinor Bose-Einstein condensate can be used for entanglement-enhanced quantum interferometry with precision below the standard quantum limit. It applies both to the three-mode interferometry and its two-mode variant due to symmetry of obtained states. The second topic, based on numerical simulations, indicates that the long-range dipolar interactions in the spinor F = 1 Bose-Einstein condensate can be utilized for dynamical generation of strongly spin squeezed quantum states. The main assumption, in the theoretical description, is based on the separation of internal and external degrees of freedom. Due to presence of non-linear interactions, initial quantum state of independent atoms evolves in time generating a squeezed state. The scaling of the squeezing parameter, which quantifies the level of squeezing, with the total number of atoms is the same as in the one-axis twisting and two-axis countertwisting models proposed as theoretical protocols for dynamical generation of squeezed quantum states. In the examined system, the abstract scheme has a direct physical realization. The dominance of one model over another depends on the geometry of the external trapping potential.
Hybrid Soft Computing Approach for Hydro power Energy Prophecy

The prophecy of electricity station output power is taken into account as an associate degree vigorous way to increase the water energy capability and improve the protection and economy of the ability system. The electricity power plants output energy depends upon numerous factors like the rate of water or volume of flow of water and height or head of water etc. that is troublesome to be delineated by some mathematical expression. This paper introduces a technique of hydropower energy prophecy for an electricity station of Niagara Falls on historical information of rate of water or volume of flow of water and height or head of water. Water energy is free, natural resources, and non-polluting. This paper includes the coupling of the ant colony optimization (ACO), particle swarm optimization (PSO) and Adaline Neural Network (ANN) to foretell the hourly hydropower energy.
Selection of performance measure in JIT through fuzzy logic-based simulation

The present study is a new approach for finding the most significant performance measure in JIT with the help of fuzzy logic rule base system. Fuzzy logic is a decision making tool which depends upon various factors like percentage JIT implementation in the organisation and gain in performance measure due to implementation of JIT. The success of any industry depends on quality product with optimum utilisation of men material and machinery and to achieve the above said factors the just-in-time (JIT) practice should be efficient and effective. Fuzzy base manufacturing system (FBMS) has been used for the present study because of the fact that fuzzy logic tool is best suited for dynamic environment where decisions are required to be taken on the basis of multi variable parameters. The main focus of this study is the modelling of a 'fuzzy-based simulation' for finding the significance of performance measure of JIT considering percentage of JIT implementation and percentage gain in performance measure due to implementation of JIT as parameters.
A new approach on compression of speech signals using MSVQ and its enhancement using spectral subtraction under noise free and noisy environment

Coding algorithms seek to minimize the bit rate in the digital representation of a signal without an objectionable loss of signal quality in the process. Speech enhancement means improvement in intelligibility and/or quality of a speech signal. This paper deals with multistage vector quantization technique used for coding of narrow band speech signals. The parameter used for coding of speech signals are the line spectral frequencies, so as to ensure filter stability after quantization. The code books used for quantization are generated by using Linde, Buzo and Gray(LBG) algorithm. The results of the multistage vector quantizer are compared with unconstrained vector quantization Technique. The performance of quantization is measured in terms of spectral distortion measured in dB, Computational complexity measured in KFlops and Memory Requirements measured in Floats. From the results it can be proved that multistage vector quantization is having better spectral distortion performance, less computational complexity and memory requirements when compared to unconstrained vector quantization. And the compressed speech signals are enhanced using spectral subtraction and compared with the original signal.
MANAGEMENT IN ORGANIZATIONS : COOPERATIVE DECISION-MAKING

Game-theoretical model of the agents’ coalitional interactions is proposed. General management problem is formulated. The incentive problems in radial and commonagency organization structures with coalitional interactions are solved. The processes of system structure changes because of coalitional interactions are analysed. The resource allocation problem in the system with coalitional interactions of agents is solved.
PAPER Special Section on Formal Approach Probabilistic Symmetry Reduction for a System with Ring Bu ff er

Probabilistic model checking is an emerging technology for analyzing systems which exhibit stochastic behaviors. The verification of a larger system using probabilistic model checking faces the same state explosion problem as ordinary model checking. Probabilistic symmetry reduction is a technique to tackle this problem. In this paper, we study probabilistic symmetry reduction for a system with a ring buffer which can describe various applications. A key of probabilistic symmetry reduction is identifying symmetry of states with respect to the structure of the target system. We introduce two functions; Shiftδ and Reverse to clarify such symmetry. Using these functions, we also present pseudo code to construct a quotient model. Then, we show two practical case studies; the one-dimensional Ising model and the Automatic Identification System (AIS). Behaviors of them were verified, but suffered from the state explosion problem. Through the case studies, we show that probabilistic symmetry reduction takes advantage of reducing the size of state space. key words: probabilistic symmetry reduction, ring buffer, model checking, the Ising model, AIS
Area code, country code, and time difference information system and its field trial

This paper describes an ASR system which responds to customer inquiries over a telephone network. Customer inquiries on area codes, country codes and time differences are one of the most popular items in information service of international telecommunication. This system called ACTIS (Area code, Country code and Time difference Information System) responds to these inquiries. ACTIS recognizes Japanese continuous speech and vocabulary including the names of 299 countries and 721 major cities throughout the world. We report on several technical features of the system including (1) new acoustic models using additional acoustic parameters, that is, acceleration of MFCC parameters and a log energy for increasing the recognition rate, (2) CMS (cepstrum mean subtraction) with compensation by recognition results for normalizing various channel characteristics and real-time operation, and (3) robust speech detection and out-of-vocabulary word detection for improving robustness to ambient noise, irrelevant sound and out-of-vocabulary words, along with their effects on computer simulation. We also report on results of field trial at KDD and a subjective assessment by users.
In the Light of Generative Rules : The Phonological Scrutiny of Word Stress in Zubairi Arabic

No doubt, generative phonology has recently witness ed a qualitative leap in its own trends, particularly in the domain of stress. That Zubairi A abic is, among others, looked upon a dialect of richly stressed patterns attracts one to dive into the depths of its idiosyncratically phonological phenomena – stress would be one of the topics deserved to be fully covered. The current study is a humble endeavor as to how genera tiv phonology treats Zubairi Arabic stress on its ground and what the rules are possibl y postulated to account for the patterning and organization of stress in question.
Electronic Working Paper Series : Available at : Title : Russian technological specialization in terms of world ’ s innovation changes during 1994-2008 . Comparison with countries of BRIC and European Innovation-driven economies

Russia, with its long scientific tradition and an extremely large R&D base, had been one of the major contributors to the world’s knowledge during decades of years. But the collapse of the Soviet Union in 1991, and the transition to a market economy, radically affected the national R&D system that existed in USSR. The main target of this paper is exploring technological specialization pattern of Russian manufacturing industry (26 sectors under observation) during the period of 1994-2008. For achievement this goal, firstly, using U.S. Patent and Trademark Office as the source of data for empirical investigation I try to find out if there were great changes in Russian manufacturing sectors’ technological specialization connected with its re-orientation from military to civil needs. Secondly, dividing Russian manufacturing sectors in four groups (“Dynamic specialization”, “Static specialization”, “Lost opportunities” and “Retreat”) I
PRELIMINARY PHYTOCHEMICAL SCREENING AND ANTIMICROBIAL ACTIVITY OF LAGENARIA SICERARIA ( MOL ) STANDAL *

The antimicrobial effect of leaf extracts of Lageneria siceraria (Molina) Standl was evaluated on bacterial strains like Escherichia coli, Pseudomonas aeruginosa, Staphylococcus aureus, Bacillus subtilis and Candida albicans. The acetone, methanol, alcohol and distilled water leaf extracts exhibit significant activity against all test organisms. The petroleum ether showed least activity against test bacterial strains. The in vitro antimicrobial activity of the extract was compared with standard antibiotic Cephlexin. The most susceptible gram positive bacterium is Bascillus subtilis and gram negative bacterium is Pseudomonas aeruginosa. Whereas, the Candida albicans does not show any significant activity. The MIC values of the extracts were also determined which ranged from 10 to 50mg/ml. The plant contains tannins, saponins, flavonoids, terepenoids, alkaloids, steroids and cardiac glycosides. The present study suggests that the leaf extract of Lageneria siceraria can be used in treating diseases caused by the test organisms.
Control of rotor speed for a model helicopter: a design cycle

In rotary wing aircraft it is desirable to hold the rotor speed constant, since varying rotor speed causes nonlinearities that complicate identification and control. In this paper we discuss the design of a tachometer to measure the rotor speed of a model helicopter. We then identify a SISO model and synthesize and implement a control law that regulates the rotor speed. We compare different control laws and highlight the problems resulting from an essentially discrete valued measurement.
An Ethnographic Study of Attitudes Influencing Faculty Collaboration in Library Instruction

SUMMARY Numerous surveys over the years have found that faculty value librarians more for their reference work, often described as “service,” than for their contributions to teaching; that 55–85 percent of faculty report using no LI with their classes; and that faculty have various reasons for not using librarian-provided instruction. This study differs from its predecessors by focusing specifically upon faculty who use LI heavily with their courses and interviewing them about why they use LI and what they value about it. Understanding these faculty members' values regarding LI, as expressed in their own words, can assist librarians in promoting course-integrated instruction.
Software-Defined Networking : Current Trends , Challenges , and Future Directions

The ordeal which network operators face in implementing traditional network protocols has posed a great challenge to network management. As digital revolution of the world continues to transpire, demand has been placed on the exertion of high-level policies that will take network management to the next level. A new world of network programmability, software-defined networking (SDN), recommends the separation of the control plane and the data plane, enabling routers and switches to use information from the control plane to forward incoming traffic out the appropriate egress interface. SDN therefore provides a means for network virtualization. In this article, we present a review, which focuses on the concept of softwaredefined networking and the challenges for future networks. We also take a look at some issues currently being faced by SDN. In conclusion, a summary of the review is given, highlighting the need for SDN in a global world.
A review of studies on target acquisition in virtual reality based on the crossing paradigm

: Crossing is a fundamental paradigm for target selection in Human-computer Interaction systems. Such paradigm was firstly introduced to virtual reality interaction by Tu et al. [1], which investigated its performance in comparison to pointing and concluded that crossing generally had no worse efficacy than pointing with unique advantages as well. However, due to characteristics of VR interaction, there are still many factors to be considered when applying crossing to VR environments. Hence, this review paper first summarizes main techniques for object selection in VR and crossing-related studies. Then, this paper analyzes factors which may affect crossing interaction from the perspectives of input space and visual space. The aim of this paper is to provide references for future studies of target selection based on the crossing paradigm in virtual reality.
1 TH / P 1-28 Numerical calculations of plasma response to external magnetic perturbations in tokamaks

Numerical studies are made of the effects of resistivity on linear plasma responses to resonant magnetic perturbations (RMPs) in tokamaks based on a reduced magnetohydrodynamic (MHD) model. From a local two-field model, it is suggested that the ratio of the poloidal electron advection to the resistivity diffusion rate αm can be a figure of merit parameter in linear RMP penetration physics. Global simulations using a four-field model show that there exists an effective threshold of the perpendicular electron flow (V c e,⊥ ) beyond which RMPs cannot penetrate. At low resistivity, small V c e,⊥ renders the RMP penetration sensitive to the change in q95. The kink response is observed to be closely related to the residual level of RMPs at rational surfaces and can be also strongly affected by resistivity. In addition, the preliminary result on the RMP effects on ELM simulations is presented.
The Concept Space Explorer A Design Case Knowledge Retrieval System

Abstract: Design is often initiated by some ideas or concepts to form the design process, while design cases provide the impetus for design inspiration and conception. This paper is aimed at establishing a knowledge retrieval mechanism based on design concepts and their semantic relations. This research is based on a case library (CBA) implemented on the web as a repository of house cases and a learning environment for case-based design. The implementation and discussion is presented.
Semantic NLP-Based Information Extraction from Construction Regulatory Documents for Automated Compliance Checking

AbstractAutomated regulatory compliance checking requires automated extraction of requirements from regulatory textual documents and their formalization in a computer-processable rule representation. Such information extraction (IE) is a challenging task that requires complex analysis and processing of text. Natural language processing (NLP) aims to enable computers to process natural language text in a human-like manner. This paper proposes a semantic, rule-based NLP approach for automated IE from construction regulatory documents. The proposed approach uses a set of pattern-matching-based IE rules and conflict resolution (CR) rules in IE. A variety of syntactic (syntax/grammar-related) and semantic (meaning/context-related) text features are used in the patterns of the IE and CR rules. Phrase structure grammar (PSG)-based phrasal tags and separation and sequencing of semantic information elements are proposed and used to reduce the number of needed patterns. An ontology is used to aid in the recognition.
Clients, architects, houses and computers: Experiment and reflection on new roles and relationships in design

This paper reports on recent work that focused on the potential impact of standard computer technology on the relationship between client and architect in the context of residential design. A study of software applications a client could use to develop and evaluate ideas exposed the dearth of software available for the design of spatial complexity by individuals without advanced computer skills, and led to the design of a specific piece of software we call “Space Modeler. ” It was prototyped using off-the-shelf virtual reality technology, and tested by a group of freshmen students. The paper discusses the specificities of the software and provides analysis and reflection based on the results of the test, both in terms of design artifacts and users’ comments. The paper concludes that the evolution of the interface to electronic environments is a matter of interest for those concerned with rethinking the training, role and activity of the architect. In the near future prospective homeowners may be able to experience and experiment with the space of their home before it is built. How can the profession embrace new information technology developments and appropriate them for the benefits of society at large?
Blind equalization for short burst communications over frequency selective wireless channels

We investigate a blind equalization problem for short burst communications. Blind equalization becomes important for short burst communications, since training overhead can be significant when only a small number of bits are transmitted at a time. However, blind equalization has not been studied for cases where only a few bits are available in a burst for converging an adaptive blind equalizer. Several important points in applying blind equalization using constant modulus algorithm (CMA) to a short burst wireless communication have been identified. They include problems associated with convergence speed, ill convergence, short burst implications, dual mode operation, a fractionally spaced CMA equalizer and its initialization. Solutions to these problems are presented and incorporated in the algorithm. Simulations are performed using more than 4500 frequency-selectively fading channels. The results support the feasibility of the proposed algorithm.