Miracle-dz/UniFAR-FTUs huggingface dataset:
Usability, Engagement, and Satisfaction of Two e-Textbook Applications

Many schools and universities are starting to offer e-Textbooks in place of traditional paper textbooks. While this option is typically more cost-effective, limited research has been done to demonstrate whether e-Textbooks are a viable alternative in the classroom. This study investigated the satisfaction, perceived workload, engagement, and comprehension of two separate e-Textbook applications, Kindle and Inkling, for tasks involved in studying for a college-level quiz. The ability to use the e-Textbook for studying, to make notes and bookmarks, and to navigate throughout a chapter was examined. Participants using each application demonstrated an improvement in their comprehension scores. Despite this, participants discovered several issues which impacted overall ease of use on both applications. For instance, the table of contents was problematic on the Kindle and locating a specific page was problematic on Inkling. Details on these findings and design implications are discussed.
Cross-mobile ELM based Activity Recognition

Activity recognition using mobile phones has great potential in many applications including mobile healthcare. In order to let a person easily know whether he is in strict compliance with the doctor's exercise prescription and adjust his exercise amount accordingly, we can use a mobile phone based activity reporting system to accurately recognize a range of daily activities and report the duration of each activity. A triaxial accelerometer built-in the mobile phone is used for the classification of several activities, such as staying still, walking, running, and going upstairs and downstairs. To build an activity recognition model, we usually employ one or some specific persons and a specific mobile phone to collect the training samples. However, the world doesn't have the same two mobile phones. The model learnt on one mobile phone may perform poor on another one due to the different offset o, sensitivity s and sampling frequency f values. To solve the cross-mobile problem, we propose an algorithm known as TransELMAR(Transfer learning and Extreme Learning Machine based Activity Recognition) that integrates the transfer learning technique and extreme learning machine algorithm for activity recognition model adaptation. Tested on a real-world data set, the results show that our algorithm outperforms several traditional baseline algorithm.
Soundness monitoring system of livestock facility based on wireless sensor network

This paper suggested the soundness monitoring system of livestock facility based on wireless sensor network. Recently, the methods that evaluate the soundness of structure are being researched frequently. The system that forecasts the damaged parts by analyzing the data acquired from the sensor the acceleration sensor combined with GPS sensor and forwards that to the users was suggested in this paper. For that, the integrated sensor and client were designed and implemented and it was checked if the system operates normally through the test. The soundness monitoring system of livestock facility based on wireless sensor network was suggested in this paper. In case of the system that uses optical fiber displacement sensor, the system was implemented by using the bending loss phenomenon of optical fiber to carry out the structure soundness monitoring announced in 2011. Bending loss is the physical phenomenon that the light is lost by bending when the light processes in the straight optical fiber core. The displacement of the structure was estimated in reverse by measuring the strength of bending loss generated from the displacement at the state light intensity that spreads the inside of optical fiber displacement sensor does not have the loss using such phenomenon. And GUI-based real-time monitoring system was developed using LabVIEW software(1)(2). In 2009, the soundness of the bridge was evaluated by using speed & impedance-based wireless sensor nod. The type of damage was analyzed using vibration characteristics acquired from the structure and impedance characteristics acquired from surrounding of tendon and the proper detailed search method was applied along the damage(3)(4). A number of system that manages the specifications or controls the facilities by jointing ICT technology with cattle shed were developed in general. The wireless sensor network-based cattle shed management system that uses bio and environmental sensors suggested the environment monitoring and environment improvement in 2013. The system consists of monitoring nod and environment controlling nod and the effectiveness was evaluated. Now that it enables massive livestock industry environment and environment improvement, real-time data
Aditi: A Systems view of Knowledge Processes

Knowledge is central to systems engineering. Systems engineering activities generate, evolve and utilize knowledge. The typical processes adopted as part of this endeavor are: a) Transforming observations into models, b) Formulating multiple‐models to capture different aspects, c) Developing a holistic understanding using these models, d) Enhancing the understanding by fostering social agreement between different observers, e) Identifying the engineering goals based on this understanding, f) Designing the intervention by achieving specific engineering goals, and g) Refining and evolving the engineered outcomes. Understanding these processes and their outcomes would aid in developing better foundations for the systems engineering practice. In this paper, the “Aditi” framework is proposed as a tool that practitioners can utilize to ascertain the theories and laws applicable to the various knowledge processes in systems engineering. The framework provides a simple approach to integrate the different knowledge processes by means of a collection of reinforcing loops.
An Autoencoder-Based Image Descriptor for Image Matching and Retrieval

— Local image features are needed in various computer vision applications. For this purpose, a large number of point detectors and descriptors have been developed during recent years. Nonetheless, creation of effective descriptors is still a topic of research. The Scale Invariant Feature Transform (SIFT) proposed by David Lowe is a widely used image descriptor in image analysis and image matching. SIFT is found to provide a high matching rate and is robust under various image transformations; however, it is relatively slow in image matching. Autoencoder is an effective computational method for representation learning. In this paper, autoencoder is used to construct a low-dimensional representation for a high-dimensional data while preserving the structural information within the data. In many computer vision applications, a high dimensional data implies a high computational cost. The main motivation in this work is to signiﬁcantly improve the speed of image descriptors without reducing their match ratings noticeably. A new descriptor is designed that is based on the autoencoder concept. The proposed descriptor can reduce the size and complexity of a descriptor signiﬁcantly, considerably reducing the time required to ﬁnd an object of interest in an image.
Temporal and frequency analysis of click-evoked otoacoustic emissions recorded from untreated congenital hypothyroid newborns

Thyroid hormone plays an important role in hearing development The exact incidence of hearing impairment in untreated congenital hypothyroid newborns (CH) is unknown. This paper presents the results of the measuring of the transient-evoked otoacoustic emissions (TEOAE) on a population of 29 newborns positive to the screening test for hypothyroidism. TEOAE were recorded in all newborns in 1 month after birth and before starting the L-thyroxin treatment. We performed both temporal and time-frequency analysis of the responses by means of wavelet transform 68 newborns who had no risk factor for hearing loss served as control. The comparison of the characteristics of temporal and frequency content of the responses of the two groups showed no statistically significant difference (p=0.01).
MULTI-ROBOT MOTION PLANNING: A MODIFIED RECEDING HORIZON APPROACH FOR REACHING GOAL STATES

This paper proposes the real-time implementation of an algorithm for collision-free motion planning based on a receding horizon approach, for the navigation of a team of mobile robots in presence of obstacles of different shapes. The method is simulated with three robots. Impact of parameters is studied with regard to computation time, obstacle avoidance and travel time.
Indoor micro cell area prediction system using ray-tracing for mobile communication systems

In mobile communication systems, especially digital wireless PBX systems, it is very important to clarify the service area in case of indoor base stations. However it is very difficult to estimate the propagation characteristics accurately under these environments because the indoor components, ex. wall partition, etc., are not only positioned randomly, but also made from complex materials. An indoor micro cell area prediction system, which can be easily estimate the propagation characteristics using the ray-tracing method, is proposed and its system configuration and major performance are described.
A Secure and Efficient Message Delivery Scheme for VANET

In order to meet the need of scalability of vehicular ad hoc network (VANET), when using the roadside unit (RSU) for message authentication and broadcast, many studies have paid little attention to the message transmission delay and the communication overhead caused by the signature. For the sake of guaranteeing the reliability of the message and improve the efficiency of message transmission, this paper proposes a secure and efficient message delivery scheme for VANET. The scheme firstly uses the opp-dir dissemination model to propagate the message to solve the problem of message transmission delay. Then, the message is signed by the aggregate MAC technique to ensure the reliability of the message. Extensive experiments validate that the proposed scheme can reduce the message transmission delay and communication overhead, improve the message delivery ratio.
Sea of leads (SoL) characterization and design for compatibility with board-level optical waveguide interconnection

Sea of leads (SoL) is a novel ultra-high-density compliant wafer-level packaging technology. The x-y-z compliant input/output (I/O) leads are batch fabricated by simply extending wafer-level batch fabrication of on-chip multilevel interconnect networks. Two-port microwave measurements reveal that the leads exhibit an insertion-loss of less than 0.4dB in the 0.1-45GHz frequency range. In addition, worst-case insertion-loss of signal propagation into and out of the package is 1.15dB at 45GHz. Because the compliant leads are short, their electrical parasitics are minimal. A mixed-signal system-on-a-chip (SoC) requires packages that are compatible with optical interconnect technology. Physical design rules describing SoL design compatibility with board-level optical signal distribution via waveguides are derived.
Formal verification of a fault tolerant computer

The design verification of a quadruply redundant processor element for high-integrity embedded applications is described. The system, based on the INMOS Transputer, is modeled formally and mathematically proved to be tolerant to any single fault. This was accomplished by formally specifying the correct behavior of the system, as a buffer, and modeling its correct behavior with a composite of the correct behaviors of each of its components. The complete model is demonstrably a refinement of the specification, i.e., better and more ordered. <<ETX>>
Quantitative Methods for Business

Preface Part One -- Background 1 Managers and numbers 2 Calculations and equations 3 Drawing graphs Part Two -- Collecting and summarising data 4 Collecting data 5 Diagrams for presenting data 6 Using numbers to describe data 7 Describing changes with index numbers Part Three -- Solving management problems 8 Finance and performance 9 Regression and curve fitting 10 Forecasting 11 Linear programming Part Four -- Introducing statistics 12 Uncertainty and probabilities 13 Probability distributions 14 Using samples 15 Testing hypotheses Part Five -- Management problems with uncertainty 16 Making decisions 17 Quality management 18 Inventory management 19 Project networks 20 Queues and simulation Glossary
A simple dynamic integrated provisioning/protection scheme in IP over WDM networks

This article presents a simple integrated provisioning/protection scheme to dynamically allocate restorable bandwidth guaranteed paths in IP over WDM networks. A guaranteed restorable path implies that a flow of data is successfully routed if both an active path and another alternate link-disjoint path are found at the same time. Unlike the conventional approach, where the IP and WDM layers are not aware of each other, the new scheme takes advantage of the development in generalized multi-protocol label switching (GMPLS) to provide integrated end-to-end survivability by incorporating network state information from both layers (e.g., the cost information in physical links, the bandwidth usage on each lightpath, and intermediate router speed) into protection path allocation. Simulation results are used to evaluate the performance of the new scheme and show that the proposed protection approach can efficiently improve the network utilization, and deliver reliable services.
An efficient frequent patterns mining algorithm based on MaPreduce framework

Recently, data collected from business have continuously growing in every enterprise. The Big Data, Cloud Computing, Data Mining has become hot topics at the present day. How to acquire important information quickly from these data is a critical issue. In this paper, we modified the traditional Apriori algorithm by improving the execution efficiency, since Aprori algorithm has confronted with a drawback that the computation time increases dramatically when data size increases. Since the one-phase algorithm only used one MapReduce operation, it will generate excessive candidates and result in insufficient memory. We design and implement an efficient algorithm: Frequent Patterns Mining Algorithm Based on MapReduce Framework (FAMR). We adopt Hadoop MapReduce as the experiment platform. The experiment results have shown that FAMR has 16.2 speedup at last in the running time compared with one-phase algorithm.
A Geometrical Method for Inverse Kinematics of a Kind of Humanoid Manipulator

The inverse kinematics problem of a kind of humanoid manipulator with 7 rotating DOFs(degrees of freedom) is solved with a geometrical method,and the best solution in the space of the joint angles corresponding to the end-effector's given position and posture is searched with specific optimizing index.This method has no theoretical error but a sufficiently fast solving speed.It is propitious for the online real-time kinetic control of the manipulator.
3-D structure extraction coding of image sequences

An image sequence coding scheme based on the extracted information of 3-D structure and motion is presented. The goal is to achieve efficient and high-quality visual telecommunications through the use of 3-D scene characteristics inherent in image sequences. The structure and motion of rigid and nonrigid objects are robustly estimated from the displacement vectors between frames. As an image source model in the image coding process, the 3-D information provides more efficient representations of image sequences because they are derived directly from the scene characteristics. Experimental results are given and suggest that the scheme can be a viable solution in realizing high-quality visual communications. <<ETX>>
Choosing to Use the Web: Comparing Early and Late Respondents to an Online Web- based Survey Designed to Assess IT Computer Skills Perceptions of County Extension Agents

Research was conducted to compare early versus late respondents to an online Webbased survey designed to assess perceived computer IT skills of a population of cooperative extension agents. Two-hundred ninety-nine respondents returned the survey, 21 returning by paper and 278 by electronic form. Response rate to the survey was 90.3%. Results showed that, overall, respondents self-rated their overall computer IT skills to be either “average” or “above average. ” In general, demographics for early and late online respondents tended to be comparable, although late online respondents tended to skew more female than early online respondents. In addition, more early online respondents rated their IT computer skills as average or above average than did late online respondents. In addition to the finding that a large majority of respondents rated their IT computers skills as at least average or above, results of this study provided some support for the use of Web-based survey techniques in terms of achieving an effective response rate and, to a lesser extent, comparability of early and late respondents. Recommendations stemming from this research include supporting further refinement of Web based survey techniques, including developing a model for comparing relevant variables, such as prior experience with Web surveys, computer and Web competencies, level, type and speed of computer access and overall motivation to use computers, as a means to verify and insure validity of online survey results .
Genetic algorithm for optimal design of delay bounded WDM multicast networks

Multicast is an efficient way to distribute information from single source to multiple destination as well as many to many [Dr. A. Ebenezer Jeyakumar et al., Jan. 2003]. This paper shows the problem of real time delay bounded multicasting in wavelength division multiplexing network to avoid problem of synchronization between video and audio frames. This work describes a genetic algorithm based technique to synthesize wavelength division multiplexing (WDM) network topologies that can, with a high degree of confidence, assure that the multicast traffic is delivered in user specified limits on time. Unlike existing approaches to WDM network design, we first find a virtual topology that can meet the delay constraints. An embedding of virtual rings into physical links is then carried out, followed by an assignment of wavelengths to virtual links. The problem of finding the virtual topology is difficult because of a large number of parameters. A number of heuristic approaches have been proposed to solve such optimization problems. In this approach, the main aim is to explore the suitability of genetic algorithms to solve the WDM network design problem. A genetic algorithm can explore a far greater range of potential solutions to a problem than do conventional approaches. The advantage of a genetic algorithm, compared with other algorithms, which use a initial guess, e.g. gradient, descent is to use more information of estimation region, and to decrease the probability of falling into local minimum. This paper describes quantitative and qualitative results obtained by using our software tool on several benchmark examples.
EEG Signal feature analysis of Smartphone Game User

The first brain wave study was started for a monkey to control an arm with a motor. Recently, studies are on the progress for raising children’s attention or understand a patient situation by using the measured brain wave. In this paper, measure attention and meditation of EEG signal when play a game and compared the difference of EEG signal according to the game user. The reason of measure up the EEG signal during play a game is the analysis about existing game play made through a survey. This survey method depends on memory and expression of human so there are some hard problems to acquire an objective data. Therefore, for acquire engineered and objective data, measure EEG signal and analyze EEG feature to compare and analyze the game user state is the goal of this study.
SUBJECT SPECIFIC EEG PATTERNS DURING MOTOR IMAGINARY

2 ABSTRACT: Left and right hand movement imagery is accompanied by an EEG event-related desynchronization (ERD) over the contralateral hand area. The time courses of the ERD from two brain-computer interface experiments were investigated by the calculation of instantaneous band power changes and by adaptive autoregressive model parameters combined with linear discriminant analysis. Subject specific differences of the EEG reactivity patterns were observed.
PUPPET: a virtual environment for children to act and direct interactive narratives

This paper presents findings from an evaluation of an autonomous agent populated virtual environment called PUPPET, that allows children to play multiple roles in the creation of an interactive narrative: audience, actor, scriptwriter, and editor. The speech of children playing with the PUPPET system was analysed to determine their ability to understand the behaviour and motives of the autonomous agents, to take on the role of an avatar character, to script dialogue for the characters, and to reflect upon and edit the recorded dialogue.
Classification of multiangle and multispectral ASAS data using a hybrid neural network model

Multiangle and multispectral radiance measurements obtained from ASAS can be used to correctly and efficiently classify land-cover data. The authors investigate the effectiveness of artificial neural network approach in using such multidomain radiance data. The neural network approach presented is a hybrid model that combines Kohonen's self-organizing network and a backpropagation model. The hybrid model is able to overcome an important limitation of the conventional feedforward model namely to speed up the convergence rate of supervised training. The model is tested using an ASAS image of Voyageurs National Park in Minnesota. Classification accuracy obtained using the hybrid model is compared to conventional feedforward model as well as statistical classification (maximum likelihood) procedures. The significance of data pre-processing, choice of number of input units, and network architecture in neural network approach in the context of ASAS data is also discussed. Neural networks may be efficient pattern classifiers for ASAS as well as data that is anticipated from sensors proposed for the Earth Observation System. <<ETX>>
Differentiation of Handedness of Writer Based on their Strokes and Characteristic Features

Handwriting is a person’s particular & individual style of writing with pen or pencil, which contrasts with “Hand’’ which is an impersonal and formalized writing style in several historical varieties. In the present study 100 samples of handwriting were collected for the “Identification of handedness of author on the basis of their strokes and characteristic features’’. Out of 100 handwriting samples, 50 were left-handed writer and 50 were right-handed writer. The study was carried out at the School of Forensic-Science, SHIATS, Allahabad. Left-handed writing and Righthanded writing samples were identified on the basis of horizontal strokes and slope and the hypothesis considered that there is significant difference in left-handed writing and right-handed writing were checked.