Miracle-dz/UniFAR-FTUs huggingface dataset:
A chess-playing robot: lab course in robot sensor integration

To obtain practical experience in intelligent robotics, a laboratory course has been developed in which students have to create a chess-playing robot. The system has to detect the move of a human opponent and has to take appropriate action. Beside knowledge about the integration of sensing and control of the robot arm, the students gain experience in working in a team to realize a medium-size project. The SCIL-IMAGE package is used. It runs under UNIX and XWindows. SCIL is a multilevel environment originally developed in image processing for feasibility studies. IMAGE is an image processing package linked to SCIL. The lowest level is formed by a C-interpreter. Using this interpreter, complete C-programs can be developed. Interpreted code can be directly combined with precompiled code from incorporated libraries. If required these programs can also be compiled and linked to SCIL. >
A computational approach to studying interdependence in string quartet performance

Esta disertacion propone una metodologia computacional basada en datos para medir la interdependencia entre los interpretes de un conjunto musical - el grado en que los musicos interactuan e influyen sus acciones para conseguir un objetivo comun - utilizando un cuarteto de cuerda como caso de estudio. Esta metodologia implica la adquisicion de datos multimodales de interpretaciones bajo condiciones experimentales, la extraccion de descriptores numericos que describen la interpretacion en terminos de distintas dimensiones musicales (entonacion, dinamica, timbre, tempo), la estimacion computacional de la interdependencia de cada dimension individualmente y la evaluacion de la capacidad de oyentes para percibir la interdependencia. Nuestros resultados muestran que es posible detectar la interdependencia en distintas dimensiones de interpretacion, asi como comparar su peso relativo a traves de distintas grabaciones y relacionar los resultados con el objetivo fundamental de la partitura. Los datos experimentales han sido publicados online en forma de base de datos abierta para la investigacion.
A Comparative Analysis of H.264 Videocompression Standard using Different Entropy Coding Methods

In this paper, we present a comparative performance analysis of low power hardware architecture for real time implementation of context adaptive binary arithmetic coding algorithm and Context-based adaptive Variable Length Coding algorithm (CAVLC) used in H.264/ MPEG part 10 video coding standards. The video compression efficiency achieved in H.264 standard is not a result of any single feature but rather a combination of a number of encoding tools. CAVLC requires considerably more processing power to decode. The encoding process is simulated by MATLAB which compress the input video sequence and ensures better performance in video compression. The results that are obtained reveal better performance of both entropy coding methods.
Anonymous Authentication Based on PIR and Its Applications

This paper focuses on authentication with three types of entities: a user who sends an authentication request, an service provider who receives and verifies the request, and a database who supplies the authentication-server with information for verifying the request. This paper presents an authentication protocol which satisfies the following important properties: (1) Anonymity against Database, (2) Password Protection, and (3) Security against Replay Attacks, with a Private Information Retrieval (PIR) scheme.
Software advances in measurement and instrumentation

National Instruments (NI) software architecture combines low-level device drivers for their hardware and high-level application development software. With this combination one has a scalable development system with the flexibility to handle a very wide range of measurement and instrumentation applications. To build virtual instruments, one needs software that easily integrates any or all of the four hardware instrumentation options in a single system. At the lowest level, with standardized driver software packages one can control the four acquisition hardware options. The NI driver packages include function libraries for programming hardware. The NI-488.2 driver is the industry standard for programming GPIB. NI-VXI is the driver software for programming VXI. NI-DAQ is driver software for programming plug-in data acquisition boards. Most computers include RS-232 driver software. With NI's application software, LabVIEW, you can build your own instruments. LabVIEW works with all aspects of an instrumentation system, including data acquisition and control, data analysis, and data presentation. LabVIEW also features modular, reusable, high-level instrument drivers for specific instruments and applications that dramatically reduce your software development task. By using NI's application software packages, you are free to choose the components necessary to m your application cost and performance requirements.
Multi-DAGs Scheduling Integrating with Security and Availability in Cloud Environment ∗

In view of the issue concerns multiple Di- rected acyclic graphs (DAGs) scheduling in multi-tenant cloud computing environment, a scheduling strategy that integrate security and availability is proposed to satisfy the tenants' requirements for resource security and avail- ability, as thus it can not only protect the users' privacy and data security but also advance the success rate. The proposal assesses resource reputation to ensure jobs can be scheduled onto relatively security nodes; during task scheduling, it classifies the DAGs to achieve fairness; in the process of resources allocation, the objective function would maximize the user's security satisfaction and mini- mize the deviation of availability; meanwhile, it takes ad- vantage of "time chips" flexibly to promote resource uti- lization rate; afterwards, we present a Greedy algorithm integrating with security and availability (GISA) to im- plement the strategy. The experimental results show the correctness and superior of the novel strategy.
Statistics for long-memory processes

Preface Introduction Stationary Processes with Long Memory Limit Theorems Estimations of Long Memory-Heuristic Approaches Estimations of Long Memory-MLE Time Domain Estimations of Long Memory-MLE Frequency Domain Robust Estimation of Long Memory Estimation of Location and Scale, Forecasting Regression Goodness of Fit Tests and Related Topics References Author Index Subject Index
SECOND-ORDER TIME-ACCURATE LOOSELY-COUPLED SOLUTION ALGORITHMS FOR NONLINEAR FSI PROBLEMS

A methodology for designing formally second-order time-accurate and yet loosely coupled partitioned procedures for the solution of nonlinear fluid-structure interac- tion (FSI) problems is presented. Its key components are a fluid time-integrator that is provably second-order time-accurate on moving grids, the midpoint rule for advancing in time the solution of the structural dynamics equations of motion, a second-order structure predictor for bypassing the inner iterations encountered in strongly-coupled solution proce- dures, and a carefully designed algorithm for time-integrating the motion of the fluid-mesh. Following this methodology, several second-order time-accurate loosely-coupled schemes are constructed for the solution of transient nonlinear FSI problems. Three-dimensional numerical results pertaining to the simulation of the aeroelastic response of the AGARD Wing 445.6 are also presented.
Tracking of Humans and Robots Using Laser Range Finders

: There exist various applications where tracking of humans or robots in an area is needed. An example of such applications are Intelligent Spaces, where humans and robots share a common space and their positions are tracked by a system of sensors in the space. In this paper a system for tracking both humans and robots that utilizes laser range ﬁnders as sensing devices is described. The details of the extraction of objects from the laser scan, data association and estimation are given, and results of tracking humans and robots are described. Calibration of the distributed laser range ﬁnders, which is important for the operation of the tracking system is also described, both in a manual and automated variant and experimental results are given. Finally, the inclusion of a laser range ﬁnder onboard the mobile robot in the tracking process is described and accompanied with experimental results. The distributed fusion of static and onboard sensors is also discussed.
Semantic image similarity based on deep knowledge for effective image retrieval

A flourishing World Wide Web dramatically increases the amount of images uploaded and shared, and exploring them is an interesting and challenging task. While content-based image retrieval, which is based on the low level features extracted from images, has grown relatively mature, human users are more interested in the semantic concepts behind or inside the images. Search that is based solely on the low level features would not be able to satisfy users requirements and not effective enough. In order to measure the semantic similarity among images and increase the accuracy of Web image retrieval, it is necessary to dig the deep concept and semantic meaning of the image as well as to overcome the semantic gap. By exploiting the context of Web images, knowledge base and ontology-based similarities, through the analysis of user behavior of image similarity evaluation, we established a set of formulas which allows efficient and accurate semantic similarity measurement of images. When jointly applied with ontology-based query expansion approaches and an adaptive image search engine for deep knowledge indexing, they are able to produce a new level of meaningful automatic image annotation, from which semantic image search may be performed. Besides, the semantic concept can be automatically enriched in MPEG-7 Structured Image Annotation approach. The system is evaluated quantitatively using more than thousands of Web images with associated human tags with user subjective test. Experimental results indicate that this approach is able to deliver highly competent performance, attaining good
INTELLIGENT INFORMATION PROCESSIG IN A DIGITAL LIBRARY USING SEMANTIC WEB

With the explosive growth of information, it is becoming increasingly difficult to retrieve the relevant documents with current search engine only. The information is treated as an ordinary database that manages the contents and positions. To the individual user, there is a great deal of useless information in addition to the substantial amount of useful information. This begets new challenges to docent community and motivates researchers to look for intelligent information retrieval approach and ontologies that search and/or filter information automatically based on some higher level of understanding are required. We study improving the efficiency of search methods and classify the search patrons into several models based on the profiles of agent based on ontology. We have proposed a method to efficiently search for the target information on a Digital Library network with multiple independent information sources. This paper outlines the development of an expert prototype system based in an ontology for retrieval information of the Digital Library University of Seville. The results of this study demonstrate that by improving representation by incorporating more metadata from within the information and the ontology into the retrieval process, the effectiveness of the information retrieval is enhanced. We used Jcolibri and Prótége for developing the ontology and creation the expert system respectively.
Real-time dictionary based super-resolution of surveillance video streams and targets

Real-time super-resolution within surveillance video streams is a powerful tool for security and crime prevention allowing for example, events, faces or objects such number-plates and luggage to be more accurately identified on the fly and from a distance. However, many of the state of the art approaches to super-resolution are computationally too expensive to be suitable for real-time applications within a surveillance context. We consider one particular contemporary method based on sparse coding,1 and show how, by relaxing some model constraints, it can be sped up significantly compared to the reference implementation, and thus approach real-time performance with visually indistinct reduction in fidelity. The final computation is three orders of magnitude faster than the reference implementation. The quality of the output is maintained: PSNR of the super-resolved images compared to ground truth is not significantly different to the reference implementation, while maintaining a noticeable improvement over baseline bicubic-interpolation approach.
Longitudinal guidance and control for the entry of vehicles onto automated highways

This paper considers AHS transitional situations concerning the entry of vehicles onto automated highways, e.g., an on-ramp vehicle is to rendezvous with a designated gap on the highway at a merging point; or a vehicle in the transition lane is to pursue a target gap in the automated lane and intercept it smoothly at an automated highway entry gate. The authors propose a scheme which guides and controls the longitudinal motion of the pursuit vehicle so as to reach the target gap at the merging point. This scheme ensures that the vehicles not only intercept the gap, but also do so smoothly by matching their speeds. The authors assume that the absolute longitudinal position and speed of the pursuit vehicle and its target gap can be monitored or estimated continuously for feedback. A set of necessary and sufficient conditions are given so that pursuability of a target gap by an entering vehicle can be determined. Ride quality, speed limits as well as vehicle engine limitations are also taken into account. <<ETX>>
A COMPARATIVE ANALYSIS OF THE POSSIBLE ATTACKS ON RSA CRYPTOSYSTEM

In public-key or asymmetric cryptography, each individual has a pair of keys, ( e, d ), where e is the public key, and d is the private key. The public key is used to encrypt the message sent, and the private key is used to decrypt the ciphertext (for the verification purpose). RSA[6] is frequently used in applications such as e-mail, e-banking, etc, where security of digital data is vital. Over years, numerous attacks on RSA illustrating RSA’s present and potential vulnerability have brought our attention to the security issues of RSA cryptosystem. We will investigate some attacks and will propose a new possible attack.Here is how RSA encryption and decryption works. To encrypt a message M (<N), one must perform: C := M e mod N and also M:= C d = M (ed) = mod N ,Using the above
Recent Synthetic Strategies to Access Seven-Membered Carbocycles in Natural Product Synthesis

This methodology-oriented review covers the synthetic strategies to construct seven-membered carbocycles in naturally occurring compounds over the last ten years. It offers an insight into the common synthetic targets and approaches and provides useful information for further developments within this area of natural product synthesis as well as synthetic methodology in general. 1 Introduction 2 Cyclization Reactions 3 Cycloaddition Reactions 3.1 [5+2] Cycloaddition 3.2 [4+3] Cycloaddition 3.3 Diels–Alder Reactions 3.4 [2+2+2] Cycloaddition 4 Ring-Closing Metathesis 4.1 Ene–Ene Metathesis 4.2 Ene–Yne Metathesis 5 Ring-Expansion and Ring-Contraction Reactions 5.1 Ring-Expansion Reactions 5.2 Ring-Contraction Reactions 6 Fragmentation and Isomerization Reactions 7 Other Frequently Targeted Natural Products 8 Conclusion
Low Power Soc Communication Using Steiner Graph AMBA Architecture

— Reduction in size of a chip leads to more sophisticated design, but the system components must be designed to operate with considerably low power. Altering the data and control path in a design will reduce the power dissipation in a chip to a greater extent. The limitation of an normal bus design is that data or control values will be transmitted to all the Soc components invariably, thus the chip select control lies within the components, either single or many circuit will be activated with the reference to control signal but the transmission cost is high due to the unnecessary passage of signal in the bus path. Steiner graph method of predicting the best bus routing path combined with Gated clock tree structure, which will further make the design more flexible. The bus implementation is done by using AHB Bus protocol for its robust and flexible design in nature. Thus a low power operating Soc can be designed and implemented without modifying the structure of component but by altering bus path structure. The level of power consumption can be further reduced by modifying the structure of the components too.
Tetrapolar measurement of cervical tissue structure using impedance spectroscopy

The aim was to see if cervical tissues could be differentiated in terms of their impedance spectra. Transfer impedance data over the frequency range 9.6-1200 kHz were collected from the cervix in 44 women. A tetrapolar surface electrode probe was used with an electrode separation such that the volume of sensitivity extends to a depth of approximately 400 /spl mu/m in the tissue. Published microscopy data showing the cell structures associated with normal squamous epithelium, columnar tissue and various pre-malignant stages was used to set up 3200 node electrical mesh models including the cell membranes and cell arrangements. These models showed that differences in transfer impedance spectra could be expected from the different tissue structures. Predicted spectra for normal and premalignant tissues have been tested against measured data from patients. Confirmation of tissue type was by biopsy and observation during colposcopy. Impedance spectra have been fitted to a Cole type equation in the impedance plane and very significant differences have been found between columnar and normal squamous epithelial tissues. There is good agreement between the model predictions and the measured impedance spectra. It is shown that data collected from high grade cancer-in-situ tissues are well separated from normal squamous epithelial tissues.
Early relational reasoning and the novice programmer: swapping as the hello world of relational reasoning

We report on a longitudinal research study of the development of novice programmers in their first semester of programming. In the third week, almost half of our sample of students could not answer an explain-in-plain-English question, for code consisting of just three assignment statements, which swapped the values in two variables. We regard code that swaps the values of two variables as the simplest case of where a programming student can manifest a SOLO relational response. Our results demonstrate that the problems many students face with understanding code can begin very early, on relatively trivial code. However, using traditional programming exercises, these problems often go undetected until late in the semester. New approaches are required to detect and fix these problems earlier.
Comparison of ANN Back Propagation Techniques in Modelling Network Traffic Activities

In this paper, we demonstrated a method used for forecasting the daily network traffic activities by using artificial neural network (ANN) with back propagation (BP) algorithms. We used the inputs and outputs of data from network traffic to identify ANN-BP models and algorithms, and we studied the performance of seventeen BP algorithms. The results using the 17 BP algorithms that include R2, MSE, MAPE and MAD were obtained with (2-12-1) network structure. Then, we compared the results using MAPE and accuracies values. The results of the comparison shows that from the seventeen BP algorithms were tested, there are some BP algorithms that generate high efficiency and accuracy of predicting the network traffic activities. Based on the results obtained, Levenberg-Marquardt, Bayesian Regularization, Fletcher-Powell Conjugate Gradient, Gradient Descent, Gradient Descent with Adaptive Learning Rate, Batch Training with Weight and Bias Learning Rules, and Sequential Order Weight/Bias Training algorithms are found to be very good for forecasting network traffic activities.
Access Control Mechanism based on MAC for Cloud Convergence

Cloud computing technology offers function that share each other computer resource, software and infra structure based on network. Virtualization is a very useful technology for operation efficiency of enterprise`s server and reducing cost, but it can be target of new security threat when it is used without considering security. This paper proposes access control mechanism based on MAC(Mandatory Access Control) for cloud convergence that solve various problem that can occur in cloud environment. This mechanism is composed of set of state rules, security characteristics and algorithm. Also, we prove that the machine system with access control mechanism and an initial secure state is a secure system. This policy module of mechanism is expected to not only provide the maintenance but also provide secure resource sharing between virtual machines.
Simulation of an iterative software development process for an educational repository system

The current paper marks the early stage of the PhD thesis of the first author of the paper. The thesis includes partial creation of an educational repository system, which should become a highly flexible portal that gives access to variety of educational resources. The simulation of the development of the repository system is the main topic of this paper. The human resources needed for the successful end of the project are centric for the simulation which can be quite useful not only for developers of similar systems but for a broader circle of specialists working in the sphere of software development. This is assured by the creation of the several control panels which gives the possibility for changing of the values of the key input parameters of the simulation very easily. The paper starts with a brief overview of the Software Process Simulation (SPS) and a comparison between the different available simulation models. After that a chapter follows which describes the usage of the simulation. Then follows description of the simulation tool and its specifics. After that is given some insight into the building blocks of the simulation via description of one of its main diagrams. At the end, possibilities for future development and results from the simulation will be given.
Performance Analysis on Text Steganalysis Method Using A Computational Intelligence Approach

In this paper, a critical view of the utilization ofcomputational intelligence approach from the text steganalysisperspective is presented. This paper proposes a formalization ofgenetic algorithm method in order to detect hidden message on ananalyzed text. Five metric parameters such as running time, fitnessvalue, average mean probability, variance probability, and standarddeviation probability were used to measure the detection performancebetween statistical methods and genetic algorithm methods.Experiments conducted using both methods showed that geneticalgorithm method performs much better than statistical method,especially in detecting short analyzed texts. Thus, the findings showedthat the genetic algorithm method on analyzed stego text is verypromising. For future work, several significant factors such as datasetenvironment, searching process and types of fitness values throughother intelligent methods of computational intelligence should beinvestigated.