Miracle-dz/UniFAR-FTUs huggingface dataset:
EDARP: novel energy and distance-aware routing protocol in wireless sensor network

In this paper, we propose a novel energy and distance-aware routing protocol (EDARP) for prolong the sensor network lifetime. EDARP achieves a good performance in terms of lifetime by balancing the energy load among all the nodes. EDARP introduces a new clustering factor for cluster head election, which can better handle the heterogeneous energy capacities. Furthermore, it also introduces a simple but efficient approach, namely, fuzzy spanning tree for sending aggregated data to the base station. Simulation result show that, when compared other schema EDARP outperforms significantly in optimizing cluster heads energy consumption, amount of data gathered, and Improving system lifetime with acceptable levels of latency in data delivery.
Authentication System for Smart Homes Based on ARM7TDMI-S and IRIS-Fingerprint Recognition Technologies

With the rapid advancement in technology, smart homes have become applicable and so the need arise to solve the security challenges that are accompanied with its operation. Passwords and identity cards have been used as traditional authentication mechanisms in home environments, however, the rise of misuse of these mechanisms are proving them to be less reliable. For instance, ID cards can be misplaced, copied or counterfeited and being misused. Conversely, studies have shown that biometrics authentication systems particularly Iris Recognition Technology (IRT) and Fingerprint Recognition Technology (FRT) have the most reliable mechanisms to date providing tremendous accuracy and speed. As the technology becomes less expensive, application of IRT& FRT in smart-homes becomes more reliable and appropriate solution for security challenges. In this paper, we present our approach to design an authentication system for smart homes based on IRT, FRT and ARM7TDMI.The system employs two biometrics mechanisms for high reliability whereby initially, system users must enroll their fingerprints and eyes into the camera. Iris and fingerprint biometrics are scanned and the images are stored in the database. In the stage of authentication, FRT and IRT fingerprint scan and analyze points of the user's current input iris and fingerprint and match with the database contents. If one or more captured images do not match with the one in the database, then the system will not give authorization.
Simulation of Interstitial Fluid Flow in Ligaments: Comparison among Stokes, Brinkman and Darcy Models

In this paper, we use Stokes, Brinkman and Darcy equations to approximate the porous continuum media of ligament tissues respectively, simulate the flow field with FLUENT software, and study the shear stress on the cell surface due to the interstitial fluid flow. Since the Brinkman equation approaches Stokes equation well in high hydraulic permeability (kp) condition (kp ≥1.0×10-8 m2 in our numerical simulation), and it is an approximation to Darcy model in low kp condition (kp ≤5.0×10-12 m2 in our numerical simulation), we used the Brinkman model to simulate the interstitial fluid flow in the ligament where kp is approximately 1.0×10-16 m2. It shows kp and anisotropic property have a little effect on the flow field, but have a great effect on the shear stress on the membrane of interstitial cells (τcell). There is a linear relationship between τcell and , when kp =1.0×10-16 m2 and the maximum τcell (τcell,max) is approximately 10 Pa. The anisotropic property will affect τcell's distribution on the cell surface. When kx/ky>1, low τcell dominates the cell, while when kx/ky<1, high τcell dominants the cell.
Providing Dynamic TXOP for QoS Support of Video Transmission in IEEE 802.11e WLANs

The IEEE 802.11e standard introduced by IEEE 802.11 Task Group E (TGe) enhances the Quality of Service (QoS) by means of HCF Controlled Channel Access (HCCA). The scheduler of HCCA allocates Transmission Opportunitys (TXOPs) to QoS-enabled Station (QSTA) based on their TS Specifications (TSPECs) negotiated at the traffic setup time so that it is only efficient for Constant Bit Rate (CBR) applications. However, Variable Bit Rate (VBR) traffics are not efficiently supported as they exhibit non-deterministic profile during the time. In this paper, we present a dynamic TXOP assignment Scheduling Algorithm for supporting the video traffics transmission over IEEE 802.11e wireless networks. This algorithm uses a piggybacked information about the size of the subsequent video frames of the uplink traffic to assist the Hybrid Coordinator accurately assign the TXOP according to the fast changes in the VBR profile. The proposed scheduling algorithm has been evaluated using simulation with different variability level video streams. The simulation results show that the proposed algorithm reduces the delay experienced by VBR traffic streams comparable to HCCA scheduler due to the accurate assignment of the TXOP which preserve the channel time for data transmission.
Supporting Sensemaking of Complex Objects with Visualizations: Visibility and Complementarity of Interactions

Making sense of complex objects is difficult, and typically requires the use of external representations to support cognitive demands while reasoning about the objects. Visualizations are one type of external representation that can be used to support sensemaking activities. In this paper, we investigate the role of two design strategies in making the interactive features of visualizations more supportive of users’ exploratory needs when trying to make sense of complex objects. These two strategies are visibility and complementarity of interactions. We employ a theoretical framework concerned with human–information interaction and complex cognitive activities to inform, contextualize, and interpret the effects of the design strategies. The two strategies are incorporated in the design of Polyvise, a visualization tool that supports making sense of complex four-dimensional geometric objects. A mixed-methods study was conducted to evaluate the design strategies and the overall usability of Polyvise. We report the findings of the study, discuss some implications for the design of visualization tools that support sensemaking of complex objects, and propose five design guidelines. We anticipate that our results are transferrable to other contexts, and that these two design strategies can be used broadly in visualization tools intended to support activities with complex objects and information spaces.
Turn-yielding cues in robot-human conversation

If robots are to communicate with humans in a successful manner, they will need to be able to take and give turns during conversations. Effective and appropriate turn-taking and turn-yielding actions are crucial in doing so. The present study investigates the objective and subjective performance of four different turn-yielding cues performed by a NAO robot. The results show that an artificial cue, flashing eye-LEDs, lead to significantly shorter response times by the conversational partner than not giving any cue and was experienced as an improvement to the conversation. However, stopping arm movement or head turning cues showed, respectively, no significant difference or even longer response times compared to the baseline condition. Conclusions are that turn-yielding cues can lead to improved conversations, though it depends on the type of cue, and that copying human turn-yielding cues is not necessarily the best option for robots.
Evaluation of Fault Scarp at Harlan County Lake, Harlan County, Nebraska using High Resolution Seismic Reflection Surveying

SUMMARY Shallow high resolution seismic techniques were used in an attempt to delineate the subsurface expression of a fault-like displacement exposed in a loess cliff on the Harlan County Lake, a reservoir in south-central Nebraska. Regardless of data-processing flows to compensate for a very irregular bedrock surface, it appears one or more faults may have offset consolidated rocks between 70 and 500 m of depth immediately north of the scarp expression in the wave cut shoreline. Seismic reflection data in a CDP format were acquired along the base of the cliff within 20m of the scarp. The seismic line ran along the water's edge, which for the past three years was at the base of the cliff as the Corps of Engineers maintained the water at near record levels for irrigation and flood control. Preliminary walkaway tests at the site included using several different types of sources and source configurations which were limited by access problems and extremely wet near-surface conditions. Test data were evaluated for resolution, signal-to-noise ratio, depth range of imaging, and optimum equipment and parameters for effective profiling of a fault with offset as small as a couple meters. Based on CDP processed data and on exposure studies of the fault plane, the fault seen in loess at the surface does not connect in an obvious way to the faults in the subsurface. The subsurface faulting could be primarily normal or reverse, although the reverse interpretation seems to fit the seismic reflection data better.
Robust Task

This paper describes an approach to the integration and control of task oriented processes within a task achieving architecture. Tightly-coupled low-level processes are expressed as transformations mapping an input into an output space. In perceptual processing these transformations correspond to the operation of virtual-sensors, in the sensori-motor loop they correspond more closely to reactive controllers. All of these processes are dynamically selected, composed and scheduled to achieve complex tasks. Robust task achievement is realised through the integration of behavioural and reactive strategies with predictive planning techniques. Integration is achieved, where possible, with the use of shared representations, and a control and perception abstraction hierarchy.
Dimension effects of enclosures on ecological processes in pelagic systems

Several characteristics inherent to experimental ecosystems were examined for their influence on ecological processes in five cylindrical indoor benthic‐pelagic enclosures of different size and shape. Ecosystem development diverged significantly among the mesocosm dimensions even though environmental parameters such as surface photosynthetically available radiation (400–700 nm), turbulence intensity, water exchange rate, and nutrient input were held constant across systems. Here we show that factors that lead to the development of different plankton assemblages can be related to mesocosm geometry. The ratio of light‐receiving surface area‐to‐water column volume (As:V) was shown to control both the rate of NO3− consumption and gross primary productivity. The attenuation of water column irradiance was positively correlated with the wall area‐to‐volume ratio (Aw:V). This was manifested in greater light attenuation in systems with a high Aw:V ratio. In addition, notably greater microalgal biomass developed on the walls in systems with a high Aw:V ratio. Finally, the total surface area‐to‐volume ratio (At:V) of the mesocosms influenced the rate of energy gain and dissipation and water column temperature. The differences in temperature among dimensions possibly affected biological parameters such as bacterial biomass. Although the influence of area‐to‐volume effects on biological components in artificial systems may be substantial, our analysis indicates that some of these effects may be predictable and that future experiments can be explicitly designed to minimize artifacts of enclosure.
Hypertext Information Retrieval for Short Queries

Keyword-based query model has been an immediate and eecient way to specify and retrieve related information on the Web. However, conventional document ranking based on an automatic assessment of document relevance to the query may not be the best approach when little information is given as in most cases. In order to clarify the ambiguity of the short queries given by users, we propose concept-based relevance feedback for Web information retrieval. This idea is to help users formulate their queries by having users give two to three times more feedback for traditional query methods. We apply clustering techniques to initial search results to provide concept-based browsing. We will show how clustering improves performance over conventional similarity ranking, and most importantly, the assistance of cluster-based representation can reduce the browsing labor for short queries.
Framing Effects Over Time: Comparing Affective and Cognitive News Frames

A growing number of scholars examine the duration of framing effects. However, duration is likely to differ from frame to frame, depending on how strong a frame is. This strength is likely to be enhanced by adding emotional components to a frame. By means of an experimental survey design (n = 111), this paper tests if the presence of emotional elements within a frame also enhances its longevity. We test framing effects on political attitudes of a rational and an emotional frame immediately, and after a delay of seven days. Our results show that, immediately after exposure, the emotional frame does not cause stronger effects than a rational frame. However, the effects of this emotional frame lasted longer, while rational framing effects dissipated much quicker.
Using a contingency planner within a robot architecture

To achieve a given goal, a mobile robot must plan by predicting the possible evolution of the environment and the possible consequences of its actions. The use of actuators and sensors with limited precision and the presence of exogenous agents in the environment leads to nondeterministic predictions. However, most plan-based robotic frameworks ignore this nondeterminism at the planning time, by producing only deterministic plans, and replanning whenever the outcome of actions or the the environment’s dynamics stray away from the assumed ones. The main motivation behind this choice has been the longstanding lack of effective planners handling non-determinism; but recent advances in this area make it possible, and advisable, to exploit such systems to implement more robust plan-based robot behaviors. In this paper, we experiment the integration of a state-of-the art contingency planner in a robotic architecture, and discuss how such an integration improves the degree of ﬂexibil-ity and robustness of plan-based robot behaviors compared to the use of a deterministic planner.
Content-based Video Signatures based on Projections of Difference Images

We propose a novel video signature extraction method based on projections of difference images between consecutive video frames. The difference images are projected onto random basis vectors to create a low dimensional bitstream representation of the active content (moving regions) between two video frames. A sequence of these signatures serves to identify the underlying video content in a robust manner. Our experimental results show that the proposed video signature is robust to most common signal processing operations on video content such as compression, resolution scaling, brightness scaling.
A Low-SER Efficient Core Processor Architecture for Future Technologies

Device scaling in new and future technologies brings along severe increase in the soft error rate of circuits, for combinational and sequential logic. Although potential solutions have started to be investigated by the community, the full use of future resources in circuits tolerant to SETs, without performance, area or power penalties, is still an open research issue. This paper introduces MemProc, an embedded core processor with extra low SER sensitivity, and with no performance or area penalty when compared to its RISC counterpart. Central to the SER reduction are the use of new magnetic memories (MRAM and FRAM) and the minimization of the combinational logic area in the core. This paper shows the results of fault injection in the MemProc core processor and in a RISC machine, and compares performance and area of both approaches. Experimental results show a 29 times increase in fault tolerance, with up to 3.75 times in performance gains and 14 times less sensible area
Phage display-derived human antibodies in clinical development and therapy

ABSTRACT Over the last 3 decades, monoclonal antibodies have become the most important class of therapeutic biologicals on the market. Development of therapeutic antibodies was accelerated by recombinant DNA technologies, which allowed the humanization of murine monoclonal antibodies to make them more similar to those of the human body and suitable for a broad range of chronic diseases like cancer and autoimmune diseases. In the early 1990s in vitro antibody selection technologies were developed that enabled the discovery of “fully” human antibodies with potentially superior clinical efficacy and lowest immunogenicity. Antibody phage display is the first and most widely used of the in vitro selection technologies. It has proven to be a robust, versatile platform technology for the discovery of human antibodies and a powerful engineering tool to improve antibody properties. As of the beginning of 2016, 6 human antibodies discovered or further developed by phage display were approved for therapy. In 2002, adalimumab (Humira®) became the first phage display-derived antibody granted a marketing approval. Humira® was also the first approved human antibody, and it is currently the best-selling antibody drug on the market. Numerous phage display-derived antibodies are currently under advanced clinical investigation, and, despite the availability of other technologies such as human antibody-producing transgenic mice, phage display has not lost its importance for the discovery and engineering of therapeutic antibodies. Here, we provide a comprehensive overview about phage display-derived antibodies that are approved for therapy or in clinical development. A selection of these antibodies is described in more detail to demonstrate different aspects of the phage display technology and its development over the last 25 years.
From Individual to Aggregate Labor Supply: A Quantitative Analysis Based on a Heterogeneous Agent Macroeconomy

We investigate the mapping from individual to aggregate labor supply using a general equilibrium heterogeneous-agent model with an incomplete market. The nature of heterogeneity among workers is calibrated using wage data from the PSID. The gross worker flows between employment and nonemployment and the cross-sectional earnings and wealth distributions in our model are comparable to those in the micro data. We find that the aggregate labor supply elasticity of such an economy is around 1, bigger than micro estimates but smaller than those often assumed in aggregate models.
Cellular automata for image noise filtering

This paper presents an image noise filter based on cellular automata (CA), which can remove impulse noise from a noise corrupted image. Uniform cellular automata rules are constructed to filter impulse noise from both binary and gray scale images. Several modifications to the standard CA formulation are then applied to improve the filtering performance. For example, a random CA rule solves the noise propagation present in deterministic CA filters. A mirrored CA is used to solve the fixed boundary problem. The performance of this CA approach is compared with the classical median filter and different switching filters in terms of peak signal to noise ratio. This comparison shows that a filter based on cellular automata provides significant improvements over the standard filtering methods.
Paths for Data Mining Query Optimizer

Data mining research has developed many pattern discovery algorithms dedicated to specific data and pattern characteristics. We argue that a user should not be responsible for choosing the most efficient algorithm to solve a particular data mining problem. Instead, a data mining query optimizer should follow the cost-based optimization techniques to select an appropriate algorithm to solve the user's problem. In this paper we discuss the process of data mining query optimization and we extend the list of choices the optimizer can make.
IMPLEMENTING SEMANTIC REFERENCE SYSTEMS

The analogy of Semantic Reference Systems proposed in (Kuhn in press) is being explored here with respect to the computational mechanisms it suggests. Semantic referencing, grounding in a semantic datum, semantic projection, and semantic transformation are defined and demonstrated through an implementation of a semantic reference system for a simple vehicle navigation model. The idea of wrapping legacy data or services is shown to correspond to semantic referencing, which suggests a straightforward procedure to derive wrappers from semantic reference systems.
Comparability of Mixed IC50 Data – A Statistical Analysis

The biochemical half maximal inhibitory concentration (IC50) is the most commonly used metric for on-target activity in lead optimization. It is used to guide lead optimization, build large-scale chemogenomics analysis, off-target activity and toxicity models based on public data. However, the use of public biochemical IC50 data is problematic, because they are assay specific and comparable only under certain conditions. For large scale analysis it is not feasible to check each data entry manually and it is very tempting to mix all available IC50 values from public database even if assay information is not reported. As previously reported for Ki database analysis, we first analyzed the types of errors, the redundancy and the variability that can be found in ChEMBL IC50 database. For assessing the variability of IC50 data independently measured in two different labs at least ten IC50 data for identical protein-ligand systems against the same target were searched in ChEMBL. As a not sufficient number of cases of this type are available, the variability of IC50 data was assessed by comparing all pairs of independent IC50 measurements on identical protein-ligand systems. The standard deviation of IC50 data is only 25% larger than the standard deviation of Ki data, suggesting that mixing IC50 data from different assays, even not knowing assay conditions details, only adds a moderate amount of noise to the overall data. The standard deviation of public ChEMBL IC50 data, as expected, resulted greater than the standard deviation of in-house intra-laboratory/inter-day IC50 data. Augmenting mixed public IC50 data by public Ki data does not deteriorate the quality of the mixed IC50 data, if the Ki is corrected by an offset. For a broad dataset such as ChEMBL database a Ki- IC50 conversion factor of 2 was found to be the most reasonable.
Know-what : A Development of Object-Property Extraction from Thai Texts and Query System

In agricultural domain, the ObjectProperty knowledge is a useful knowledge that serves the ‘Know-what’ to a farmer or to an agriculturalist such as pest’s characteristics (color, size, and etc). This paper proposes the framework for extracting the object and its properties and also the query system. The extraction problems consist of object identification, property relation identification, and property value identification. The query problem is how to retrieve the object based on fuzzy property value. For the problems of extraction, we propose NLP techniques for extracting the intention information, consisting of 2 modules: property identification, and object identification. For the problem of query, we utilize the fuzzy concept to represent the property value and propose the similarity measure for retrieving the object by the given of property information.
An experimental research of love wave sensor based on LiTaO3/SiO2 structure

Temperature characteristics of SiO<sub>2</sub>-coated Love Wave oscillators are presented from 10 °C to 60 °C. Surface skimming bulk wave (SSBW) and Love Wave delay line devices were fabricated on the 36 °YX-LiTaO<sub>3</sub> substrate. Near zero TCF of SiO<sub>2</sub>-coated Love Wave oscillators from 10 °C to 60 °C are demonstrated in the 150MHz range. In the gas sensor experiment on dimethylmethylphosphonate (DMMP) detection, the fabricated SXFA-coated chemical sensor exhibited a threshold detection limit and high sensitivity.