Miracle-dz/UniFAR-FTUs huggingface dataset:
An on-line piecewise linear approximation technique for wireless sensor networks

Many sensor network applications observe trends over an area by regularly sampling slow-moving values such as humidity or air pressure (for example in habitat monitoring). Another well-published type of application aims at spotting sporadic events, such as sudden rises in temperature or the presence of methane, which are tackled by detection on the individual nodes. This paper focuses on a zone between these two types of applications, where phenomena that cannot be detected on the nodes need to be observed by relatively long sequences of sensor samples. An algorithm that stems from data mining is proposed that abstracts the raw sensor data on the node into smaller packet sizes, thereby minimizing the network traffic and keeping the essence of the information embedded in the data. Experiments show that, at the cost of slightly more processing power on the node, our algorithm performs a shape abstraction of the sensed time series which, depending on the nature of the data, can extensively reduce network traffic and nodes' power consumption.
First Year Report : A context logic approach to analysis and specification of XML update

XML is an international standard for data exchange and representation. The primary motivation for XML is interoperability – to facilitate the construction of large systems, composed of diverse component parts, which operate on and communicate with common data. XML is naturally tree structured, and is widely used to represent all sorts of hierarchical data. The Document Object Model (henceforth referred to as “DOM”) is a World Wide Web Consortium (henceforth referred to as “W3C”) specification of a library for manipulating XML documents. The tree structure of the XML is specified with an object structure in an (arbitrary) object oriented programming language in mind. The operations that may be performed on the data is specified as methods on those objects. This specification is written using IDL (the Object Management Group’s “Interface Definition Language” – an international standard for describing the interface of an Object Model), and a lot of English. The English language is imprecise and verbose. The DOM specification has had the benefit of several years and a very large number of dedicated volunteers with which to catch bugs, inconsistencies and undesirable specified behaviours. Furthermore, a DOM implementation can never be precisely verified against the specification, since the specification is imprecise. Context logic is a spatial logic for structurally reasoning about data. A context logic for trees should provide a more precise language with which to specify a library like DOM. Such a specification should be less ambiguous and more amenable to the (potentially automated) verification of its implementations. Verification against specification (as opposed to test driven development) is likely to be increasingly important in this sort of application, as concurrency becomes more and more an irresistible part of modern computing. During the first year of my PhD, I have identified the core of DOM that I would like to work with. I am interested in the tree structure of the data, for which I require Elements, and in navigating an updating that structure, for which I require NodeLists. Several of the attributes and methods defined over these data structures exist to manage details of XML representation that I choose to abstract away at this stage, while I concentrate on the core business of updating the structure of, and simple data stored within an XML-like tree. Still more of the methods defined over these data structures may be implemented
Discovery of a peculiar DQ white dwarf

We report the discovery of a new carbon rich white dwarf that was identified during a proper motion survey for cool white dwarfs based on photographic material used for the construction of the Guide Star Catalog II. Its large proper motion ( ' 0:48 arcsec/yr) and faint apparent magnitude (V ' 18:7) suggest a nearby object of low luminosity. A low-resolution spectrum taken with the William Herschel Telescope clearly shows strong C2 Deslandres-d'Azambuja and Swan bands, which identify the star as a DQ white dwarf. The strength of the Deslandres-d'Azambuja bands and the depression of the continuum in the Swan-band region are signs of enhanced carbon abundance for the given Te. Comparison of our spectrophotometric data to published synthetic spectra suggests 6000 K< Te < 8000 K, although further analysis with specialized synthetic models appear necessary to derive both Te and chemical composition. Finally, the range of spatial velocity estimated for this object makes it a likely member of the halo or thick disk population.
IMPLEMENTASI ASESMEN DIAGNOSTIK DALAM UPAYA MENINGKATKAN HASIL BELAJAR MATEMATIKA DI SD KOTA BANJARBARU KALIMANTAN SELATAN

Penelitian ini bertujuan untuk memverifikasi apakahÂ pelaksanaan asesmen diagnostik melalui penilaian tes, non tes, dan remedial dapat meningkatkan hasil belajar matematika di SekolahÂ Dasra (SD). Penelitian ini dilaksanakan di kelas 3 SDN 04 Banjarbaru Utara 4, dengan jumlah sampel 34 orang siswa. Jenis penelitian yangÂ digunakan adalah penelitian tindakan kelas. Penelitian ini dibantuÂ oleh tiga orang kolaborator yang mengikuti langkah-Iangkah praÂ observasi, perencanaan tindakan, pelaksanaan tindakan dan rejleksi. Â Penelitian ini dilaksanakan empat siklus, subjek penelitian ini guruÂ dan siswa, data dikumpulkan melalui tes, kuesioner sikap, observasiÂ perilaku siswa, dan wawancara. Analisis data yang digunakan dalamÂ penelitian ini adalah kualitatif dan kuantitatif Hasil penelitianÂ menunjukkan bahwa hasil belajar siswa meningkat setelah setiap topikÂ pembelajaran diberikan asesmen diagnostik, berupa pemberian tes,Â remedial, dan non tes berupa kuesioner sikap siswa, observasi perilakuÂ siswa mengikuti pembelajaran matematika.
Parameter Stability of the Structural-Functional Model GREENLAB-Tomato as Affected by Plant Density and Biomass Data Acquisition

In this study, we assessed the possibility of using the GREENLAB model to quantitatively simulate adaptive responses of tomato plants competing for light. The model was able to reproduce modifications induced by a reduction of plant spacing in dry matter production and in the allocation pattern. However, the analysis of parameter stability showed that some parameters were environment dependent and that an adjustment of model formalisms was required to explicitly represent the plant response. Model parameters also proved to be sensitive to the data acquisition procedure. We confirmed that target files composed of dry matter records lead to parameters that were better indicators of the carbohydrates metabolism at all densities.
A Realistic Personnel Selection Tool Based on Fuzzy Data Mining Method

Recruitment is an important issue of human resource management (HRM). The main purpose of recruitment is to obtain talent from internal and external of organization. However, excellent talent maybe will be missed at the pre-screening process under lack of complete information for managers to judge. In this paper, a personnel selection tool based on fuzzy data mining method is proposed to assist business managers to find eligible talent more efficiently.
JackIn head: immersive visual telepresence system with omnidirectional wearable camera for remote collaboration

Remote collaboration to share abilities over the Internet is one of the ultimate goals of telepresence technology. In this paper, we present JackIn Head, a visual telepresence system with an omnidirectional wearable camera with image motion stabilization. Spherical omnidirectional video footage taken around the head of a local user is stabilized and then broadcast to others, allowing remote users to explore the scene independently of the local user's head direction. We describe the system design of JackIn Head and report the evaluation results of the system's motion decoupling. Then, through an exploratory observation study, we investigate how individuals can remotely interact, communicate with, and assist each other with our system. We report our observation and analysis of inter-personal communication, demonstrating the effectiveness of our system in augmenting remote collaboration.
The Relationship Between University Students’ Perceptions Of Faculty Members’ Undesirable Behaviors, Their Trust For Faculty Members And Class Participation

Article History: Received 15.06. 2016 Received in revised form 11.09. 2016 Accepted 22.10. 2016 Available online 16.11. 2016 The main objective of the present study is to investigate the university students’ perceptions about the undesirable behaviors of the faculty members, their trust levels towards faculty members, students’ class participation, and to scrutinize the relationship between these variables. Furthermore, the study aims to identify how and in which direction faculty members’ undesirable behaviors affect the university students’ trust for faculty members and active participation into class activities. Thus, the relationship between three variables were analyzed via structural equation modelling. Study group included 327 volunteering students who attended pedagogical formation program held in Inonu University during the summer semester of 2013–2014 academic year. “Undesirable Behavior in Faculty Members”, “Confidence in Faculty Members”, and “University Students Class Participation” scales were used to collect data. Findings indicated that the trust of students towards faculty members and faculty members’ undesired behaviors affected students’ active participation into class activities. It was concluded that the both variables explained the 16% of the variance in students’ classroom participation level. © 2016 IOJES. All rights reserved
Conceptual model for measuring Saudi banking managers’ job performance based on their emotional intelligence (EI)

The purpose of this paper is to develop and present a research model on various emotional intelligence (EI) constructs which have been found to influence job performance in the prior literature. ,In addition to leadership and EI, the constructs are clustered under different categories: self-awareness includes self-confidence, emotional self-awareness and accurate self-assessment; self-management includes self-control, adaptability, conscientiousness, trustworthiness and optimism; social awareness includes empathy, organizational awareness and service orientation; and social skills groups’ communication, change catalyst, developing others and self-monitoring. ,The paper proposes 17 hypotheses concerning significant relationships between these constructs and job performance. ,The paper proposes a new approach toward studying the impact of various constructs of EI on job performance in Saudi banking sector.
Utilizing interband acoustical information for modeling stationary time-frequency regions of noisy speech

A novel enhancement system is developed that exploits the properties of stationary regions localized in both time and frequency. This system selects stationary time-frequency (TF) regions and adaptively enhances each region according to its local signal-to-noise ratio (LSNR) while utilizing both the acoustical knowledge of speech and the masking properties of the human auditory system. Each region is enhanced for maximum noise reduction while minimizing distortion. This paper evaluates the proposed system through informal listening tests and some objective measures.
Case-Based Learning by Observation in Robotics Using a Dynamic Case Representation

Robots are becoming increasingly common in home, industrial and medical environments. Their end users may know what they want the robots to do but lack the required technical skills to program them. We present a case-based reasoning approach for training a control module that controls a multi-purpose robotic platform. The control module learns by observing an expert performing a task and does not require any human intervention to program or modify the control module. To avoid requiring the control module to be modified when the robot it controls is repurposed, smart sensors and effectors register with the control module allowing it to dynamically modify the case structure it uses and how those cases are compared. This allows the hardware configuration to be modified, or completely changed, without having to change the control module. We present a case study demonstrating how a robot can be trained using learning by observation and later repurposed with new sensors and then retrained.
The McClelland and Judd Approach: Using "Four-Corners" Data To Detect Nonlinearity and Nonadditivity.

ABSTRACT The analysis of interaction effects in multiple regression has received considerable attention in recent years, but problems with the valid identification of moderating variables have been noted by researchers. G. McClelland and C. Judd (1993), in their discussion of the statistical difficulties of detecting interactions and moderating effects, warned against the use of a four-corners subsample approach to moderated multiple regression, but they did not present empirical evidence that such an approach provides less power than the use of the full random sample. This study was conducted to produce evidence of the extent of power loss that is associated with the subsample strategy. The effectiveness of the four-corners subsample procedure was investigated through a Monte Carlo study that used regression models to generate data from populations with linear, nonlinear, and nonadditive relationships. In all, 2,304 conditions were examined, for 3 models, 4 levels of population "R" squared, 4 levels of regressor correlation, 4 levels of regressor reliability, 3 levels of sample size, and 4 levels of effect size for the nonlinear or nonadditive component. Results suggest that the use of the four-corners strategy rather than full sample analysis shows better specificity at the expense of reduced statistical power, or sensitivity, relative to full sample analysis. Despite the improved specificity of the four-corners approach, model misidentification rates were high in many of the conditions examined. The utility of either the four-corners approach or the full sample approach for testing theory is limited. (Contains 3 tables and 26 references.) (SLD)
Gamma irradiation preserves immunosuppressive potential and inhibits clonogenic capacity of human bone marrow-derived mesenchymal stromal cells

Mesenchymal stromal cells (MSCs) are promising candidates for the treatment of graft‐versus‐host and autoimmune diseases. Here, by virtue of their immunosuppressive effects, they are discussed to exhibit inhibitory actions on various immune effector cells, including T lymphocytes that promote the underlying pathology. While it becomes apparent that MSCs exhibit their therapeutic effect in a transient manner, they are usually transplanted from third party donors into heavily immunocompromised patients. However, little is known about potential late complications of persisting third party MSCs in these patients. We therefore analysed the effect of gamma irradiation on the potency and proliferation of MSCs to elucidate an irradiation dose, which would allow inhibition of MSC proliferation while at the same time preserving their immunosuppressive function. Bone marrow‐derived MSCs (BM‐MSCs) were gamma‐irradiated at increasing doses of 5, 10 and 30 Gy and subsequently assessed by colony formation unit (CFU)‐assay, Annexin V‐staining and in a mixed lymphocyte reaction, to assess colony growth, apoptosis and the immunosuppressive capacity, respectively. Complete loss of proliferative capacity measured by colony formation was observed after irradiation with a dose equal to or greater than 10 Gy. No significant decrease of viable cells was detected, as compared to non‐irradiated BM‐MSCs. Notably, irradiated BM‐MSCs remained highly immunosuppressive in vitro for at least 5 days after irradiation. Gamma irradiation does not impair the immunosuppressive capacity of BM‐MSCs in vitro and thus might increase the safety of MSC‐based cell products in clinical applications.
Dynamic stream control for energy efficient video streaming

Gartner predicts that by 2013 mobile devices will overtake PCs as the most popular type of device used for accessing Internet-based services. Meanwhile, mobile phones are becoming increasingly complex and powerful. However, battery technology has not been increasing at the same pace and hence, there is an urgent need for solutions to balance the battery performance of mobile devices and their functionality. An efficient solution would be to analyze the application(s) running on the device and manipulate all available device parameters, in order to maximize the power saving while minimizing the effect on the Quality of Service. As an initial step towards this unified solution, this paper takes an extremely important functionality as a starting point - video streaming. Different mechanisms for adaptive multimedia streams in mobile devices are investigated. Furthermore, an enhanced version of the Battery and Stream-Aware Adaptive Multimedia Delivery algorithm (BaSe-AMy) is tested on a real-world mobile device. The experiments result in an increase to the maximum playtime of a video stream of up to 10%, as compared to non-energy-aware streaming solutions, while also maintaining a high stream PSNR value.
Enabling Reconfiguration of Component-Based Systems at Runtime

These disciplines contribute in various ways. Software architectures play a central role at design, describing a system model and specifying it in a formal way using some architecture description language [7]. Configuration management focuses on implementation, defining a configuration from various component versions and building a system from this configuration [6]. Component deployment addresses the deployment phase, managing all dependencies among the involved components and eventually producing a running system [1, 12]. Although these three activities may evolve independently and provide their own models of the system, they are all involved when reconfiguration is required (roundtrip engineering). Applying planed changes to a deployed system usually triggers changes in all those system models to obtain a consistent system after reconfiguration. A major problem to be solved here is managing (run-time) dependencies among the components. Therefore, we need a formal system model, which covers components, their interconnection, communication, and run-time behavior, integrating all the system models of software architecture, configuration management and component deployment [13].
Capacity of Strong and Very Strong Gaussian Interference Relay-without-delay Channels

In this paper, we study the interference relay-without-delay channel which is an interference channel with a relay helping the communication. We assume the relay's transmit symbol depends not only on its past received symbols but also on its current received symbol, which is an appropriate model for studying amplify-and-forward type relaying when the overall delay spread is much smaller than the inverse of the bandwidth. For the discrete memoryless interference relay-without-delay channel, we show an outer bound using genie-aided outer bounding. For the Gaussian interference relay-without-delay channel, we define strong and very strong interference relay-without-delay channels and propose an achievable scheme based on instantaneous amplify-and-forward (AF) relaying. We also propose two outer bounds for the strong and very strong cases. Using the proposed achievable scheme and outer bounds, we show that our scheme can achieve the capacity exactly when the relay's transmit power is greater than a certain threshold. This is surprising since the conventional AF relaying is usually only asymptotically optimal, not exactly optimal. The proposed scheme can be useful in many practical scenarios due to its optimality as well as its simplicity.
Single Microwave Photon Detection with a Trapped Electron

We investigate theoretically the use of an electron in a Penning trap as a detector of single microwave photons. At the University of Sussex we are developing a chip Penning trap technology, designed to be integrated within quantum circuits. Microwave photons are guided into the trap and interact with the electron’s quantum cyclotron motion. This is an electric dipole transition, where the near field of the microwave radiation induces quantum jumps of the cyclotron harmonic oscillator. The quantum jumps can be monitored using the continuous Stern-Gerlach effect, providing the quantum non demolition signal of the microwave quanta. We calculate the quantum efficiency of photon detection and discuss the main features and technical challenges for the trapped electron as a quantum microwave sensor.
A novel approach to lane detection and tracking

In this paper, a new robust approach for camera based lane recognition is presented. The tracking filter and the detection interact such that the tracking filter is used to place a region of interest for a detection of lane segments in various distances, and each successful detection is used to update the lane geometry in the tracking filter. A novel and time efficient detection algorithm is used to detect the position and the slope of the lane segments. To be able to cope with sudden changes in the curvature, two interacting Extended Kalman filters are used to select the bandwidth for the filter. To our best knowledge this algorithm has not been applied to vision based lane tracking before. First results indicate that our approach is robust and real time capable with an average execution time of below 3 ms on a 3Ghz standard PC.
LMP-DSR: Load balanced multi-path dynamic source routing protocol for mobile ad-hoc network

Mobile ad hoc networks contain mobile wireless devices that autonomously organize their infrastructure. Its performance depends on the worth of various parameters, like variety of nodes and mobile connections. Multi-path routing permits building and use of multiple paths for routing between a source-destination combine. It exploits the resource redundancy and variety within the underlying network to supply advantages like fault tolerance, load balancing, information measure aggregation, improvement in QoS metrics and end to end delay. During this planned work is changing Dynamic source Routing Single path Protocol into Multi-path Routing with construct of Load balancing. In this planed work we are modifying Dynamic Source Routing Single path Protocol into Load Balanced Multi-path Dynamic Source Routing (LMP-DSR). In the LMP-DSR we introduce two data structure Route Cache and Load Table. The Source node maintains up to 5 paths in its ROUTE CAHCE which it receives as a result of Route Discovery process. While selecting the route it keeps track of load balancing by checking the count, it maintains in LOAD TABLE for the multiple paths available for the given target. To manage this, a new data structure called “LOAD TABLE” is introduced which maintains the count of packets transmitted on a given route. Hence we improve Average Delay, Packet Delivery Ratio (PDR) and Through Put of original DSR.