Miracle-dz/UniFAR-FTUs huggingface dataset:
Indoor Location Position Based on Bluetooth Signal Strength

Nowadays many systems with diverse technologies such as (GPS, Wi-Fi, Bluetooth, ZigBee, Ultra Wide Band, Ultrasounds, Infrared, etc) can be used for indoor location. One of the biggest challenges in indoor location systems is to determine the actual indoor position of the user using a smart device (Phone, PC, etc), due to their instability, cost, high-power consumption, low accuracy and low precision. To overcome those problems, we have designed, implemented and emulated an indoor location system based on RSSI (Receive Signal Strength indicator) of the Bluetooth low energy 4.0 (BLE). BLE 4.0 technology is more advantageous in terms of long life expectancy, our approach is based on the deployment of equidistant nodes on the ceiling. The nodes are programmed to broadcast a periodic beacon at a time pace of 400ms and then to enter sleep mode. When a smart device enters within the broadcasting range, it locates the three access points (nodes) with the highest signal strength. This information can be calculated using one of the several localization algorithms (Dilatation). The proposed Dilatation algorithm can be easily implemented in the hardware due to its low complexity, the method can be successful even when using a few numbers of nodes. In average the system has about 0.5~1 meters of error.
Fuzzy Feedback Linearizing Controller and Its Equivalence With the Fuzzy Nonlinear Internal Model Control Structure

Fuzzy Feedback Linearizing Controller and Its Equivalence With the Fuzzy Nonlinear Internal Model Control Structure This paper examines the inverse control problem of nonlinear systems with stable dynamics using a fuzzy modeling approach. Indeed, based on the ability of fuzzy systems to approximate any nonlinear mapping, the nonlinear system is represented by a Takagi-Sugeno (TS) fuzzy system, which is then inverted for designing a fuzzy controller. As an application of the proposed inverse control methodology, two popular control structures, namely, feedback linearization and Nonlinear Internal Model Control (NIMC) are investigated. Moreover, the paper points out that, under some conditions, both of the control structures are equivalent and naturally implement a Smith predictor in the presence of time delays.
Analysis of Super-Lift Luo-Converters with capacitor voltage drop

Super-lift Luo-converters are popular for high output voltage application for years. They have very high voltage transfer gains in geometric progression on stage-by-stage. The original design and calculation are based on the analysis with constant capacitors' voltages in the steady state. Carefully considering the effect of the capacitor voltage drop, the output voltage ripples should be larger. We have to modify the calculation formulae of the Super-Lift Luo-Converters. After investigation we can see the output voltage variation is larger, and the ripple is obviously increased.
Error exponents for bias detection of a correlated process over a MAC fading channel

In this paper, we analyze a binary hypothesis testing problem using a wireless sensor network (WSN). Using Large Deviation Theory (LDT), we compute the exponents of the error probabilities for the detection of a constant under a correlated process. Each sensor transmits its local measurement through a multiple-access (MAC) Rician fading channel with a line-of-sight (LOS) component to the fusion center (FC) using an uncoded analog scheme. The FC decides if the constant is present or not. We examine the behavior of the error exponents as a function of the correlation process and the fading LOS component. We also show that this scheme achieves the centralized error exponents when the number of sensors approaches infinity even when the fading LOS paths between the sensors and the FC are not so strong and the underlaying process is correlated. In this way, neither feedback between the FC and the sensors nor cooperation between the sensors is necessary to provide a sufficient statistic to the FC.
Impact of charging a large number of electric vehicles on the power system voltage stability

In this paper, the impact of charging a large number of electric vehicles (EV) on the power system voltage stability is investigated on an example of a real power transmission system. First, the maximum load factors for different states in a selected part of the power system are determined using the continuation power flow (CPF) calculations and PV curves. The approach provides information about the active power limit value prior to the voltage collapse. Second, different daily load diagrams for the current load and the load expected in 2025 and 2030 together with the impact of charging 5 % and 10% of the electric vehicles in the analyzed region are constructed and voltage variations at 110 kV buses for different scenarios are analyzed. The results show that the foreseen future charging of a large number of EVs during the peak load intervals combined with the expected increase in power consumption can significantly affect the voltage profiles in the power transmission grid.
Identification of Soluble N-Ethylmaleimide-Sensitive Factor Attachment Protein Receptor Exocytotic Machinery in Human Plasma Cells: SNAP-23 Is Essential for Antibody Secretion1

Plasma cells (PC) are B-lymphocytes terminally differentiated in a postmitotic state, with the unique purpose of manufacturing and exporting Igs. Despite the importance of this process in the survival of vertebrates, no studies have been made to understand the molecular events that regulate Ig exocytosis by PC. The present study explores the possible presence of the soluble N-ethylmaleimide-sensitive factor attachment protein receptor (SNARE) system in human PC, and examines its functional role in Ig secretion. Syntaxin-2, Syntaxin-3, Syntaxin-4, vesicle-associated membrane protein (VAMP)-2, VAMP-3, and synaptosome-associated protein (SNAP)-23 could be readily detected in normal human PC obtained from intestinal lamina propria and blood, as well as in human PC lines. Because SNAP-23 plays a central role in SNAREs complex formation, it was chosen to examine possible functional implications of the SNARE system in PC Ig secretion. When recombinant SNAP-23 fusion protein was introduced into the cells, a complete abolishment of Ig production was observed in the culture supernatants of PC lines, as well as in those of normal PC. These results provide insights, for the first time, into the molecular machinery of constitutive vesicular trafficking in human PC Ig secretion and present evidence indicating that at least SNAP-23 is essential for Ab production.
Cascades of shocks in Active Galactic Nuclei and their radiation

We discuss accretion flows on massive black holes in which different elements of the flow (clumps) have velocities that may differ substantially. We estimate the consequence of collisions between these clumps as they come close to the central object and calculate the resulting radiation. We show that this radiation is similar to that observed in the optical to X-ray spectral domain in Seyfert galaxies and quasars. We also show that the large scale accretion is likely to be clumpy when arriving in the active region and that the clumps keep their identity between collisions.
BroCUR: Distributed cloud broker in a cloud federation: Brokerage peculiarities in a hybrid cloud

The paper describes the creation of a novel cloud broker created to provide efficient cloud brokering services for a government organization in India - the BroCUR. The BroCUR works in a volunteer federated, distributed schema with control being executed using a combination of threshold based metrics and triggers which launch task migration. The novel aspect of the BroCUR is the inclusion of the human manager in the decision making for task migration and the relevant inputs taken into consideration while prioritizing the scheduling and transfer of tasks in the cloud ecosystem. This paper describes its components, the logical placement of the BroCUR in a distributed schema, the results of the comparative experiments of the BroCUR against the Rackspace broker. This paper also amplifies the aspects related to the unique SLA management between multiple data centers in regards to their volunteering services and resources to the overall cloud ecosystem. The BroCUR has been implemented on live instances of data center under heavy to light load conditions and provides an efficient alternative to commercial offerings available in the market. The combination of the concepts of volunteer cloud federation and cloud brokerage with real time inputs from cloud data center human managers is unique to this research.
A “Suggested” Picture of Web Search in Turkish

Although query log analysis provides crucial insights about Web users’ search interests, conducting such analyses is almost impossible for some languages, as large-scale and public query logs are quite scarce. In this study, we first survey the existing query collections in Turkish and discuss their limitations. Next, we adopt a novel strategy to obtain a set of Turkish queries using the query autocompletion services from the four major search engines and provide the first large-scale analysis of Web queries and their results in Turkish.
Technology and Distribution as Organizational Elements within International Strategic Alliances

Associate Professor, Suffolk University Law School. A.B. 1976, University of California at Berkeley; J.D. 1982, Yale University. Portions of this Article were presented at the European International Business Association annual meetingheldin Reading, England, December 13-15, 1992. Oscar Bajo, Margaret Pearson, Michael Rustad and Joel Trachtman provided helpful criticism. I am most grateful for the research assistance of Juan Bellido, Kelli Dugan, Sara Gardiner, Susan Kelly, Robert Martin and Lancaster Stewart. 'Jorde and Teece define a strategic alliance as: a bilateral or multilateral relationship characterized by the commitment of two or more partner firms to a common goal. A strategic alliance typically includes a constellation of agreements involving (1) technology swaps, (2) joint R&D or co-development, and/or (3) the sharing of complementary assets, such as where one party does manufacturing and the other distribution for a codeveloped product. Thomas M. Jorde & David J. Teece, Innovation, Cooperation, and Antitrust, in ANTITRUST, INNOVATION, AND COMPETITIVENESS 47, 55 (Thomas M. Jorde & David J. Teece eds., 1992). ' In certain strategic alliances each participating firm contributes core technology. In others, the firms may shift roles. The alliance between Honeywell (USA) and NEC (Japan) originally depended on Honeywell's core computer technology. Ultimately, relative technological strength shifted so that Honeywell sought a technology transfer from NEC. Louise Kehoe & Yoko Shibata, NEC-Honeywell Pact to Fight IBM, FIN. TimEs, Oct. 21, 1983, at 33;NEC Licenses Computer Technology to Honeywell, JAPAN ECON. J., Oct. 25, 1983, at 10. In some sense, both firms will always contribute technology to the
Project 4: Resolving Complex Traits through Inferred Coancestry of Genome Segments

The overall objective is the development of methods for the enhanced detection and resolution of genes contributing to complex quantitative genetic traits observed in individuals not known to be related. The approach will be through using dense SNP marker data for the detection and estimation of segments of gene identity by descent (ibd) shared among sets of individuals. Locus-specific inferred ibd among individuals will be analyzed in conjunction with their phenotypic similarities and differences, in order to detect and resolve causal loci. We will develop and assess hidden Markov models (HMM) and methods for detection of ibd genome segments between pairs of members of populations from dense SNP data or sequence variants. We will assess the effects on performance of our methods of linkage disequilibrium, data error and copy-number variants, and the efficacy of prior haplotype imputation, data cleaning, and screening for regions of allelic similarity. We will extend our models and methods to the inference of ibd among larger sets of chromosomes using both HMM and coalescent models, and develop Markov chain Monte Carlo methods for sampling of ibd genome segments, conditional on dense SNP marker or sequence variant data in candidate gene regions. We will develop and assess methods for analyzing trait data on individuals conditional on the patterns of ibd genome segments inferred among them, by assessing location-specific levels and regional chromosomal extent of ibd segments among sampled chromosomes in relation to quantitative trait values. We will assess our methods and compare with alternative approaches, by first testing methods in simulated population structures, where latent ibd is known, but in which founder haplotypes are provided by real-data population samples. Then, in real data sets available to us, where latent ibd is unknown, we will compare results of our methods with those of other approaches developed both within the P01 group and elsewhere. We will develop software implementing our methods, and document, distribute and support this software.
The Mining of the Real Valued Datasets using Clustering Algorithms : Review Paper

Cluster analysis has been widely used in several disciplines, such as statistics, software engineering, biology, psychology and other social sciences, in order to identify natural groups in large amounts of data. These data sets are constantly becoming larger, and their dimensionality prevents easy analysis and validation of the results. The subspace pattern mining has been tailored to microarray data clustering to find biclusters and triclusters. We focus on deterministic clustering algorithm: Triclusters, which can mine arbitrarily positioned and overlapping biclusters/triclusters. Depending on different parameter values, they can mine different types of clusters, including those with constant or similar row/column values, as well as scaling and shifting expression patterns. We also give a useful set of metrics to evaluate the clustering quality, and show their effectiveness on real data.
DEPEND Distance Education for People with Different Needs

15-presentation, control, and distribution are important to ensure that persons with different needs will get access to information. In this paper, we have presented the idea and approach of the DEPEND project, which is based on the electronic classroom that represents a traditional multimedia application and is currently used for teaching at Norwegian Universities. We are developing a distance education application that pays special attention to the different needs of users. In order not to exclude certain user groups, the design and implementation supports platform independence, extensibility and flexibility. The object-oriented DSPC framework combines the idea of separating subject data, presentation , and control with communication objects and is used to guide design and implementation in DEPEND. In order to meet the possibly high requirements of users, we develop and apply advanced DBS concepts for the storage and management of subject data and use the protocol configuration system Da CaPo for the implementation of communication objects. User requirements define the functionality of their user interface and are furthermore applied to optimize storage and communication subsystem functions for each particular usage. It is the aim of this paper to present the general idea of the DEPEND project, to outline its aim, and to indicate the approach how to reach these goals. However, there are several open problems which will be solved in the future. The support of flexible multicast connections for several end users with different needs is only one example for challenging tasks arising from the idea of the DEPEND project. Acknowledgements We would like to thank Anne Kathrine Foss and Morten Sørdal for proof reading. -14-sonable to use a presentation similar to printed Braille books. The user should be able to select normal or contracted Braille. In general, Braille displays are not usable for graphics, but Braille printers can be used at least to view simple line drawings. Tactile graphic tablets exist, but they are not usual. The reasons for this is cost, complexity, and conceptual and technical problems with presenting graphics to blind people. Speech synthesizers are helpful when reading long texts. Blind users usually prefer Braille when reading scientific literature and complicated text, but speech when browsing a document or reading simpler material. The sound card is applied to reproduce recorded audio information like a human voice or ear-cones. Most of the modern sound cards also have a MIDI component and a speech synthesizer in addition to recording …
The quantity-quality transition in Asia.

A working paper on "quantity-quality" transition in Asia is presented in this document. The first part of the document presents the microeconomic perspective on fertility and schooling which motivated the study. The second part reexamines the Asian record on fertility and schooling. Comparisons were drawn between the experiences of the rapidly growing economies of east and southeast Asia and the slower-growing economies of south and south-central Asia. The third part reviews empirical evidence on economic rates of return to schooling in Asia and then explores with the aid of cross-national data several hypotheses about the macroeconomic factors that can affect these rates. The fourth part deals with family-level evidence and estimates of fertility and childrens schooling from Pakistan Bangladesh Indonesia Malaysia Philippines Thailand and Taiwan. The subject of concern in this section is whether powerful family-level forces were continuing to promote a quantity-quality transition even with aggregate returns to schooling held constant. The final part discusses the results and conclusions of the study.
Bifurcation analysis of an automobile model negotiating a curve

The paper deals with the bifurcation analysis of a rather simple model describing an automobile negotiating a curve. The mechanical model has two degrees of freedom and the related equations of motion contain the nonlinear tyre characteristics. Bifurcation analysis is adopted as the proper procedure for analysing steady-state cornering. Two independent parameters referring to running conditions, namely steering angle and speed, are varied. Ten different combinations of front and rear tyre characteristics (featuring understeer or oversteer automobiles) are considered for the bifurcation analysis. Many different dynamical behaviours of the model are obtained by slightly varying the parameters describing the tyre characteristics. Both simple and extremely complex bifurcations may occur. Homoclinic bifurcations, stable and unstable limit cycles (of considerable amplitude) are found, giving a sound and ultimate interpretation to some actual (rare but very dangerous) dynamic behaviours of automobiles, as reported by professional drivers. The presented results are cross-validated by exploiting handling diagram theory. The knowledge of the derived set of bifurcations is dramatically important to fully understand the actual vehicle yaw motions occurring while running on an even surface. Such a knowledge is a pre-requisite for robustly designing the chassis and for enhancing the active safety of vehicles.
Cluster validity measurement techniques

Clustering is a process of discovering groups of objects such that the objects of the same group are similar, and the objects belonging to different groups are dissimilar. Several research fields deal with the problem of clustering: for example pattern recognition, data mining, machine learning. A number of algorithms exist that can solve the problem of clustering, but most of them are very sensitive to their input parameters. Therefore it is very important to evaluate the result of the clustering algorithms. It is difficult to define whether a clustering result is acceptable or not, thus several clustering validity techniques and indices have been developed. This paper deals with the problem of clustering validity. The most commonly used validity indices are introduced and explained, and they are compared based on experimental results.
Dynamic Estimation of Unsaturated Buffer in Context-Aware M2M WiFi Network

We propose a Particle Filter framework to perform online estimation for an unsaturated buffer of the stations in the Machine to Machine (M2M) WiFi network. The dynamical variation of the traffic affects the performance severely in the M2M WiFi network. The exist researches for analyzing the unsaturated condition in the network is based on the steady-state model, whereas this proposed method is devoted to dynamically estimate the probability distribution of the packet existence in the unsaturated buffer of the stations. The estimation accuracy and effectiveness are evaluated by Root Mean Square Error. The proposed dynamic estimation is more aware of the traffic change in the varying wireless M2M WiFi network compared to the other works by the static analyzing model.
A Data-flow Language for Big RDF Data Processing

When analysing large RDF datasets, users are left with two main options: using SPARQL or using an existing non-RDF-specific big data language, both with its own limitations. The pure declarative nature of SPARQL and the high cost of evaluation can be limiting in some scenarios. On the other hand, existing big data languages are designed mainly for tabular data and, therefore, applying them to RDF data results in verbose, unreadable, and sometimes inefficient scripts. My PhD work aims at enhancing programmability of big RDF data. The gaol is to augment the existing tools with a declarative dataflow language that focuses on the analysis of large-scale RDF data. Similar to other big data processing languages, I aim at identifying a set of basic operators that are amenable to parallelisation and at supporting extensibility via userdefined custom code. On the other hand, a graph-based data model and support for pattern matching as in SPARQL are to be adopted. Giving the focus on large-scale data, scalability and efficiency are critical requirements. In this paper, I report on my research plan and describe some preliminary results.
A uniform approach for selecting views and indexes in a data warehouse

Careful selection of aggregate views and some of their most used indexes to materialize in a data warehouse reduces the warehouse query response time as well as warehouse maintenance cost under some storage space constraint. Data warehouses collect and store large amounts of integrated enterprise data from a number of independent data sources over a long period of time. Warehouse data are used for online analytical processing to assist management in making quick and competitive business decisions. Precomputing and storing summary tables (materialized views) reduces the amount of time needed to recompute these views across several source tables in order to answer complex warehouse queries. A data cube is an elegant way for representing aggregate information in a Warehouse and is an n-dimensional view with 2/sup n/ subviews. The paper presents a uniform technique for selecting the subviews of the data cube and their indexes to materialize in order to produce the best resultant benefit to the system in terms of query response time and maintenance cost while satisfying some storage space constraint.