Miracle-dz/UniFAR-FTUs huggingface dataset:
An approximate solution of machine scheduling problems by decomposition method

SUMMARY To obtain an approximate solution for a large-scale job-shop scheduling problem the decomposition method was investigated. This means that an original problem is decomposed into subproblems, which are solved separately, and then the solution of the original problem is composed from the subproblems' solutions. Different methods to decompose the problem were tested by computational experiments and evaluated from the viewpoint of the goodness of schedule and computation time.
Performance analysis of interference cancellation schemes for a DS/CDMA system under delay constraint

The performance of two adaptive multistage interference cancellation (IC) schemes for direct sequence code division multiple access (DS/CDMA) systems, successive and parallel IC schemes, is investigated under a fading channel. The performance analysis is strictly based on the analytical approach to provide a complete framework to predict BER performance and system capacity for the IC schemes under investigation. We further investigate the performance of the successive IC scheme subject to the delay constraint, which may be imposed typically on most speech and video applications. It has been shown that the successive interference cancellation (SIC) scheme is more resistant to fading than the parallel interference cancellation (PIC) scheme. Our analysis also demonstrates that the performance may be significantly improved by the groupwise successive interference cancellation (GSIC) scheme, which can be properly optimized to meet the given delay constraint.
Cyber situation awareness as distributed socio-cognitive work

A key challenge for human cybersecurity operators is to develop an understanding of what is happening within, and to, their network. This understanding, or situation awareness, provides the cognitive basis for human operators to take action within their environments. Yet developing situation awareness of cyberspace (cyber-SA) is understood to be extremely difficult given the scope of the operating environment, the highly dynamic nature of the environment and the absence of physical constraints that serve to bound the cognitive task23. As a result, human cybersecurity operators are often "flying blind" regarding understanding the source, nature, and likely impact of malicious activity on their networked assets. In recent years, many scholars have dedicated their attention to finding ways to improve cyber-SA in human operators. In this paper we present our findings from our ongoing research of how cybersecurity analysts develop and maintain cyber-SA. Drawing from over twenty interviews of analysts working in the military, government, industrial, and educational domains, we find that cyber-SA to be distributed across human operators and technological artifacts operating in different functional areas.
Tradeoffs in Knowledge-Based Construction of Probabilistic Models

In many domains, the ability to use a knowledge base to automatically construct alternative probabilistic network models and then compare them is desirable. This paper makes two novel contributions towards achieving that goal: first, it analyzes a parameterized class of (a) static, and (b) temporal influence diagram, models which differ in the time-series process describing the temporal evolution of the system being modeled. Second, it applies general scoring metrics for comparing these models with respect to predictive accuracy and computational efficiency. The network rankings facilitate comparing the accuracy/efficiency tradeoffs entailed in using TIDs which differ in (1) the accuracy of capturing the temporal evolution of a dynamic system and (2) data and computational requirements. The scoring metrics are used to compare networks in which all variables evolve according to a Markov process with two novel domain-dependent network approximations. These approximations model the evolution of a parsimonious subset of variables rather than all variables. >
Research on the Wi-Fi Protocol Intelligent Automatic Meter Reading System

In view of the real-time, reliable and efficient requirements in data transmission of the automatic meter reading system, a remote automatic meter reading scheme based on the technology of Wi-Fi is proposed. Wi-Fi (sometimes spelled Wifi or WiFi) is a popular technology that allows an electronic device to exchange data wirelessly (using radio waves) over a computer network, including high-speed Internet connections. Based on the transmission technology of Wi-Fi, this article introduces a remote automatic meter reading system, which takes UART-WiFi module as core and allows the meter connected to the Internet, so as to realize the function of network remote automatic meter reading.
44-jährige Gärtnerin mit Lumbago, Myalgien und Fieber

We report the case of a 44 year old female gardener who presented to our emergency ward with lumbago, myalgia and fever of 39 degrees Celsius. She also reported acholic stools, darker looking urine and ikteric skin complexion. The patient was suffering from acute hepatitis A virus induced liver failure and was rapidly announced to a liver transplant centre. In the course of the illness the condition of the patient improved spontaneously and the serious hepatitis resolved and was self limiting. As a source of infection to possibilities were identified. Eating shellfish at the East Sea 4 weeks prior to admission or handling natural animal dung during her work as a gardener. One year after the event the patient once again is healthy and well.
Modeling of soft 3-dimensional objects and volume-conserving deformations of such objects by an external force

This paper sets forth a method for creating models of soft 3-dimensional objects that are capable of describing the deformations that are easily produced in these objects by various external forces. In addition to virtual objects such as spheres and cubes, the authors have attempted to model the facial region of the human head. Their technique for modeling soft objects is to represent them by networks of springs and masses (i.e., by a spring network model). Using CT images to guide them, the authors construct a spring network model by first partitioning the head region with a tetrahedral mesh, and then using the bubble-mesh method to generate a close-packed structure that specifies the initial positions of the nodes. This procedure ensures that the springs all have almost the same length. In simulating the deformation, the response of the soft object is modeled by incorporating both a spring force and a volume-conserving force. Physical phenomena such as reaction forces arising from mutual contact between the surfaces of soft objects, such as hands with faces, and normal counterforces, are well described in the calculations. After verifying that deformations owing to contact between a sphere and a cube are well described, they developed their model of the human head and used it to simulate the effects of external forces exerted by a model hand. It was confirmed that the simulated deformations of the virtual head and hand that accompanied contact between them conserved volumes well. In addition, by introducing frictional forces, it was possible to simulate the deformations that accompany physical actions such as pushing up and tugging at lips, thereby confirming the effectiveness of the simulation method. © 2005 Wiley Periodicals, Inc. Syst Comp Jpn, 36(13): 23–34, 2005; Published online in Wiley InterScience (www.interscience. wiley.com). DOI 10.1002/scj.20325
Disturbance gain and bandwidth margins: definitions and application to autopilot design

Deals with the notion of disturbance model uncertainty. The disturbance is modeled as the output of a first-order filter which is driven by white noise and whose bandwidth, /spl omega//sub b/, and H/sub 2/-norm, K, are uncertain. An analytical expression for the steady-state output variance as a function of /spl omega//sub b/ and K is derived. Several properties of this variance function are given and the notions of disturbance gain margin and disturbance bandwidth margin are introduced. These tools are then applied to the analysis of an altitude hold autopilot system in the presence of turbulence with uncertain turbulence scale.
A knowledgeable simulated annealing scheme for the early/tardy flow shop scheduling problem

The present paper reports on a new approach to applying simulated annealing to the flow shop scheduling problem with early/tardy costs. This approach incorporates the simulated annealing methodology with problem-specific knowledge, which is given in a table called the ‘Backward-Forward Exchange Priority Table’. Performance of the proposed method is tested on randomly generated problems and is compared to those of two formal simulated annealing schemes. Finally, it is shown that solutions obtained by the proposed method are superior to those of formal annealing schemes.
Semantic Web Crawler Based on Lexical Database

Crawlers are basic entity that makes search engine to work efficiently in World Wide Web. Semantic Concept is implied into the search engine to provide precise and constricted search results which is required by end users of Internet. Search engine could be enhanced in searching mechanism through semantic Lexical Database such as WordNet, ConceptNet, YAGO, etc; Search results would be retrieved from Lexical and Semantic Knowledge Base (KB) by applying word sense and metadata technique based on the user query. The Uniform Resource Locater (URL) could be added and updated by the user to Semantic knowledge base so that crawlers can easily extract meta data and text which is available in specified web page. The proposed methodology enables web crawler to extract all meta tags and metadata from the web page which are stored in Semantic KB, hence search results are expected to be more significant and effective.
Dual threshold delay model for nonlinear device characterization

We propose a dual threshold delay model for accurate timing definition for cell-based LSI designs by introducing dual threshold voltage definitions for each cell and by making cell delay and wire delay positive. Our model aims at high density and low power design of sub-half micron CMOS devices. Further more, this model solves negative delay problem in conventional delay definition at very slow slope and accurate delay handling becomes possible in logic simulation and logic synthesis.
Rapid PN acquisition algorithm using matched filter and data sorting method in DS/CDMA system

In this paper, we present a method of PN code acquisition of DS/CDMA system based on a structure of matched filter. The proposed scheme has a structure that utilizes the searching window which has the same size as the tap length of the matched filter. This system performs parallel correlation in each chip interval to improve the mean acquisition time (MAT). To reduce hardware complexity, it sorts out several maximum data instead of using all accumulated data and utilizes indexing for efficient data handling. The performance of the proposed system is analyzed in a frequency-selective Rayleigh fading channel with frequency offset. Especially, we present results for the optimal number of data in using the sorting method, the number of coherent accumulations and the number of noncoherent integrations. We confirm that the performance of the proposed system is much better than other searching techniques from numerical analysis.
Understanding mobile Internet continuance usage from the perspectives of UTAUT and flow

Users’ continuance usage is critical to mobile service providers’ success. Drawing on the Unified Theory of Acceptance and Use of Technology (UTAUT) and flow theory, this research identified the factors affecting mobile Internet continuance. We collected data in China and conducted data analysis with structural equation modeling. The results indicated that both factors of flow including perceived enjoyment and attention focus have strong effects on user satisfaction, which further affects continuance usage. In addition, performance expectancy, social influence and facilitating conditions also affect continuance usage. The results imply that mobile service providers need to focus on both perspectives of user performance and experience to facilitate mobile Internet continuance usage.
UWB indoor path loss model for residential and commercial buildings

We present a statistical model for the path loss of ultra-wideband channels in indoor environments. In contrast to previous measurements, the data reported here are for a bandwidth of 6 GHz rather than 1.25 GHz; they encompass commercial buildings in addition to single-family homes (20 of each); and local spatial averaging is included. As before, the center frequency is 5.0 GHz. Separate models are given for commercial and residential environments and-within each category-for line-of-sight (LOS) and non-line-of-sight (NLS) paths. All four models have the same mathematical structure, differing only in their numerical parameters. The two new models (LOS and NLS) for residences closely match those derived from the previous measurements, thus affirming the stability of our path loss modeling. For greater accuracy, we therefore pool the two data sets in our final models for residences. We find that the path loss statistics for the two categories of buildings are quite similar.
A Novel Similarity Measure Based on Weighted Bipartite Network for Collaborative Filtering Recommendation

This paper presents a novel approach to compute user similarity based on weighted bipartite network and resource allocation principle for collaborative filtering recommendation. The key is to calculate the asymmetric user weighted matrix and translate it into a symmetric user similarity matrix. We carry out extensive experiments over Movielens data set and demonstrate that the proposed approach can yield better recommendation accuracy and can partly to alleviate the trouble of sparseness. Compare with traditional collaborative filtering recommendation algorithms based on Pearson correlation similarity and adjusted cosine similarity, the proposed method can improve the average predication accuracy by 6.7% and 0.6% respectively.
Towards Probabilistic Unification-Based Parsing

This thesis is about natural language parsing with corpus-based grammars that are enriched with statistics. Parsing is the process of analysing the syntactic structure of an utterance. The role of statistics is to improve the parsing process. Our research is done in the context of the SCHISMA project, in which a natural language dialogue system for theatre information and booking services is developed.
ZPD Incidence Development Strategy for Demand of ICTs in Higher Education Institutes of Pakistan

Higher education institutes (HEIs) are believed as catalyst for the economic progress of any country particularly and for the whole world generally. This study analyses ICT (Information and communication technology) –based teaching and learning issues at Pakistani higher education (HE) level and efforts to devise a strategy as solution to those issues as a result. Using normative Delphi method which spanned to two rounds, a comprehensive questionnaire was developed through which panelists were asked to rate, select, and add (if necessary) from the list of diverse set of issues along-with their best available solutions in the dimension of ICT strategic framework for tertiary education. Panelists not only discussed ICT-based issues and their proposed solutions but also stratified a ZPD incidence development strategy which chalks out measures HE authorities should take in order to properly integrate ICTs in their HEIs. It was determined that ICT integration in HE need to be in lined with proper strategy in order to get their true benefits.
A Novel Particle Swarm Optimization Applied to Multi-flight Refueling Service Scheduling

Optimization of multi-flight refueling service scheduling is very important for the recovery efficiency of flight delays. After analyzing the constraints and objective of multi-flight refueling service scheduling problem, a model is put forward. A novel particle swarm optimization is designed to solve the problem. A two-dimensional particle representation and a method for generating flight scheduling solution are defined. Simulations are carried out by using flight data from a domestic airport. The results show that the novel algorithm has advantages of optimization over other scheduling algorithms, and the purposes of optimizing scheduling and improving recovery efficiency of flight delays are achieved.
A strength-and-SIR-combined adaptive power control for CDMA mobile radio channels

In this paper, a new power control method for mobile radio channels is proposed and evaluated. Power adjustment is done through the joint knowledge of signal strength and signal-to-interference ratio (SIR). This new power control mechanism greatly reduces the likelihood of positive feedback, as well as providing enhanced system capacities. Study of this combined scheme further motivates the proposal of an adaptive power control scheme, implemented through adjustable thresholds at base stations. This scheme would reduce the overhead in transmitting power control commands to mobile units and also simplify the design of handsets.
Application of the Back Propagation Neural Network Algorithm with Monotonicity Constraints for Two‐Group Classification Problems*

Neural network techniques are widely used in solving pattern recognition or classification problems. However, when statistical data are used in supervised training of a neural network employing the back-propagation least mean square algorithm, the behavior of the classification boundary during training is often unpredictable. This research suggests the application of monotonicity constraints to the back propagation learning algorithm. When the training sample set is preprocessed by a linear classification function, neural network performance and efficiency can be improved in classification applications where the feature vector is related monotonically to the pattern vector. Since most classification problems in business possess monotonic properties, this technique is useful in those problems where any assumptions about the properties of the data are inappropriate.
Interactive Space Generation through Play Exploring the Role of Simulation on the Design Table

In this paper we report on recent developments in the use of simulation as an aspect of design decision support for architecture and planning. This research is based on ARTHUR (Augmented Round Table for Architecture and Urban Planning). Although real time simulation has been incorporated in design support systems, little attention has been given to the simulation of pedestrian movement in collaborative AR based systems. Here we report on user evaluation tests of the ARTHUR system, which are focused on the effect of real time pedestrian simulation on the way pairs of designers work together. These tests suggest that the integration of simulated pedestrian movement on the design table plays a critical role in exploring possible design solutions and encourages different and new ways of thinking about design problems. Donald Schon's concept of the reflection-in-action provide a useful framework for interpreting these results.
Results Of The First Digital Terrestrial Television Broadcasting Field-tests In Germany

Field trials have been carried out on the digital transmission of color TV signals in a standard European terrestrial channel of 8 MHz bandwidth. The goal was to obtain first practical results on the general properties of OFDM modulated digital TV signals under real transmission and reception conditions. A comparison of digitally modulated broadcast TV signals and VSB (vestigial sideband) modulated PAL signals was carried out in a UHF channel under normal and severe reception conditions. The field trials were carried out in September 1992 in a hilly region. The results of measurements for normal reception at a distance of 12 km from the transmitter are shown. For OFDM transmission the presentation of absolutely noise-free and interference-free pictures is possible down to a transmitter output power of 2 dBW (1.6 W) and a SNR in the received signal of 29 dB. To achieve the minimum requirements needed for analog PAL transmission (field strength 69 dBV/m and SNR of 38 dB) a peak power of 13 dBW (20 W) in the synch-pulse has to be used. >
P300 Feature Extraction of Visual and Auditory Evoked EEG Signal

It is a significant issue to accurately and quickly extract brain evoked potentials under strong noise in the research of brain-computer interface technology. Considering the non-stationary and nonlinearity of the electroencephalogram (EEG) signal, the method of wavelet transform is adopted to extract P300 feature from visual, auditory and visual-auditory evoked EEG signal. Firstly, the imperative pretreatment to EEG acquisition signals was performed. Secondly, respectivly obtained approximate and detail coefficients of each layer, by decomposing the pretreated signals for five layers using wavelet transform. Finally, the approximate coefficients of the fifth layer were reconstructed to extract P300 feature. The results have shown that the method can effectively extract the P300 feature under the different visual-auditory stimulation modes and lay a foundation for processing visual-auditory evoked EEG signals under the different mental tasks.
An overview of the information retrieval features of twenty digital libraries

A number of digital libraries have been set up in the course of various research and development activities in different parts of the world during the last few years. How do these digital libraries fair in terms of information retrieval features? This paper looks into this question by reviewing the information retrieval features of 20 digital libraries chosen from around the globe. The first part of the paper briefly describes the features of the chosen digital libraries in terms of their nature and content. The second part looks into the information retrieval features of each digital library. Unique features of some digital libraries have been indicated. Major areas of research that would improve the information retrieval features of the future digital libraries have been indicated.