Miracle-dz/UniFAR-FTUs huggingface dataset:
Test of the Run-Time Infrastructure Software

The run-time infrastructure (RTI) is a kind of software that is developed by the interface specification of high level architecture (HLA), which can offer a universal and comparatively independent service for simulation applications in the HLA simulation system. The RTI is the key underpinning software for the HLA simulation system. The quality of the RTI software is very important, and it will directly affect the system running. In order to guarantee the quality of the RTI software, it should be tested and evaluated roundly. The test and evaluation involve the functional and the performance aspects. The former can certify the RTI software correctness, and the latter can check the efficiency for the RTI software. Three editions of RTI software will be tested and evaluated in this paper. Both the function and the performance are tested, and the performance aspect is emphasized. The results show that the three editions of RTI software not only can meet software performance requirements, but can be used in generic real time simulation. Moreover, on the aspect of performance, the KD-RTI has some virtues, such as fast data-exchange velocity, low data loss and low latency.
Dynamic QoS Mechanism for supporting VoIP Service in Tactical Communication Environment

Tactical communication environment evolving for the purpose of providing services such as voice, video and text based on ALL-IP. Therefore, To be able to guarantee QoS level which meets the required level of subscriber for these services in the constrained tactical communication infrastructure, it is required to take the characteristics such as wireless transmission link, mobility of troops or personal into service quality scheme. In this paper, to support differentiated QoS for each individual or mission in the tactical communication environment, we presents a technique that can provide same QoS level which was served originally regardless of the situation to user`s move through dynamically determining the QoS level to be provided at the time of the service request on VoIP-Switch.
Automated, integrated modules for fluid handling, thermal cycling and purification of DNA samples for high throughput sequencing and analysis

The Genomation Laboratory at the University of Washington has developed an automated fluid handling system called "Acapella" to prepare microliter reactions for genome analysis. Reactions such as restriction enzyme digests, polymerase chain reactions (PCRs), and sequencing reactions are prepared in glass capillaries, one per sample, with an automated system that can process 5000 samples in 8 hours. A DNA sample is aspirated from a microplate well with a novel piezoelectric aspirator/mixer actuator, reagents are dispensed into the end of the capillary with piezoelectric reagent dispensers, all fluids inside the capillary are mixed with the piezoelectric aspirator/mixer actuator, and the capillary is off-loaded to a capillary cassette for further processing. On-going development includes new, automated modules for thermal processing of capillaries, real-time DNA quantitation, and purification of DNA inside of capillaries to prepare the samples for DNA sequencing. Applications of the technology include minimal residual disease quantification and sample preparation for DNA sequencing.
Performance evaluation of MPEG-2 video coding for HDTV

We examine the subjective and objective performance of HDTV coded using the MPEG-2 video coding standard. Tests were conducted on seven HDTV sequences selected to cover a broad range of program materials in terms of scene content, complexity, motion speed and direction. The selected material was digitized in a 4:2:2 format with HDTV resolution and coded using the MPEG-2 main profile/high level syntax. Formal subjective assessment was performed by non-expert viewers on the sequences coded at a bit rate of 18 Mbits/s. Since MPEG-2 allows a great flexibility at the encoding end, we also examined the impact of various MPEG-2 encoding parameters on the quality of the reconstructed HDTV video sequences. The parameters include bit rate, the structure of picture organization, as well as temporal processing.
Comparative Transpiration Studies on the Invasive Eastern Redcedar (Juniperus virginiana L.) and Adjacent Woody Trees

Fire suppression and grazing on the Great Plains have resulted in alteration of the grassland ecosystem, including an increase in woody trees. Eastern redcedar ( Juniperus virginiana L.) is a native but invasive conifer that is rapidly expanding its range in Oklahoma due to human and ecological factors and the ability to tolerate aridity. It is known to reduce soil moisture due to high rates of water uptake compared to neighboring grasses and herbaceous species. The objectives of this study were to compare average amounts of water transpired between eastern redcedar and adjacent woody trees in central Oklahoma to determine how water loss in the conifer compares with other trees in the same locality. Average amounts of transpiration in eastern redcedar were compared with those of loblolly pine ( Pinus taeda L.) , white mulberry ( Morus alba L.) , eastern cottonwood ( Populus deltoides W. Bartram ex Marshall) and bur oak ( Quercus macrocarpa Michx.). Three to six branch tips per tree were securely bagged over 24-hour periods, and water collected in each bag was weighed and analyzed. Three to five sampling months spanning two or three seasons were conducted for each comparative study. Results indicated that for winter, spring, and fall, transpiration from eastern redcedar exceeded that from the other tree species. Weather variables such as day length and temperature were found to have strong to moderate effects on transpiration in eastern redcedar. Day length and temperature also had strong effects on transpiration in white mulberry and bur oak, respectively, and humidity had an effect on transpiration in loblolly pine. No reliable or significant effect of weather variables was detected in eastern cottonwood.
Research on Energy Saving in Cellular Networks Based on Dynamic Load Balancing

In this paper, in order to balance the network load and make a part of the stations into the sleep mode, we adopted a load balancing scheme in relay-assisted cellular networks. In the proposed distributed algorithm, relay station only needs to exchange information with its neighboring which bases stations and makes a re-association decision by itself. So it can balance the load and decrease the call blocking probability, and then reduce the network energy consumption. According to the approach of tabu search, we can find the optimal mode combination and ensure the Qos (quality of service) which is presented.
Sericin Ameliorates the Capacitation State and Chromatin Integrity of Frozen-Thawed Stallion Spermatozoa by Reducing Oxidative Stress

Background: In the process of sperm cryopreservation, apart from cryoinjury, the production of Reactive Oxygen Species (ROS) can adversely affect the integrity of chromatin and cellular membranes. Addition of natural antioxidants to freezing medium is an approach to reduce the destructive effects of ROS on sperm. Methods: In this study, during 60 min of cooling process, the ejaculates of five stallions were diluted in the following media: INRA 82 medium as Control (C), INRA 82 medium supplemented with 0.25% Sericin (S), INRA 82 medium supplemented with 1.5 mM Glutathione (G), and INRA 82 medium supplemented with 0.25% Sericin+1.5 mM Glutathione (S+G). Results: In the frozen/thawed sericin supplemented group, while the integrity of DNA and the activity of catalase and Glutathione Peroxidase (GPx) were increased, the lipid peroxidation and midpieceab normality decreased, compared with other groups (p<0.05). The proportions of sperms with abnormal head in group S and the sperm with distal droplet in G and S+G groups decreased, compared with group C (p<0.05). In CTC assay, the percentage of capacitated spermatozoa in treatment groups was lower than control (p<0.01). Conclusion: In conclusion, the presence of sericin in freezing medium of stallion semen could improve sperm DNA integrity and its resistance to ROS and lipid peroxidation.
Online Outlier Detection Of Learners’ IrregularLearning Processes

Distance education using e-learning has become popular in educational situations. One problem is that the instruction strategy tends to be one way, so sometimes learners find it more boring than conventional instruction methods. This chapter proposes a method of online outlier detection of learners’ irregular learning processes using the learners’ response time to e-learning content. The unique features of this method are as follows: (1) It uses the Bayesian predictive distribution, (2) It can be used for small samples, (3) It unifies the methods of various statistical tests using a hyper-parameter and provides more accurate test results than one of the traditional methods alone. (4) It assists two-way instruction using data mining results of learners learning processes. (5) Outlier statistics are estimated by considering both students’ abilities and the difficulty of content. In addition, this chapter proposes an animated agent which provides adaptive messages to the learners using the data mining. Moreover, the system was evaluated and the results showed the effectiveness of the system.
Keyword Based Searching Techniques over XML Data - Survey Paper

XML data format is widely used across devices to exchange data due to its main feature of supporting platform independency. Existing or current system used to find given keyword in XML data, a user need to know XML query language to create keyword query, submit the query for processing and get the results. In this approach user having limited knowledge about XML data, often feels complex and difficult to find require keyword in XML data and sometimes they has to use try and see approach to get relevant information. In this paper we will study different keyword based searching methods focusing on fuzzy search approach to find keyword in XML data. This searching techniques allows user explore data based on keyword as they typed even with minor mistakes in their keyword. Our survey paper helps to understand keyword based alternative method for searching XML data. Using this techniques user is able to find require sort of information from XML based file, without knowing XML query language and XML file content. Our survey paper focuses on techniques based on keyword search to retrieve top-k results, top-k algorithm to achieve high result quality and search efficiency and effective ranking method, early algorithm termination techniques while identifying top-k results and effective index structures.
Inverse Rendering Techniques for Physically Grounded Image Editing

From a single picture of a scene, people can typically grasp the spatial layout immediately and even make good guesses at materials properties and where light is coming from to illuminate the scene. For example, we can reliably tell which objects occlude others, what an object is made of and its rough shape, regions that are illuminated or in shadow, and so on. It is interesting how little is known about our ability to make these determinations; as such, we are still not able to robustly "teach" computers to make the same high-level observations as people. This document presents algorithms for understanding intrinsic scene properties from single images. The goal of these inverse rendering techniques is to estimate the configurations of scene elements (geometry, materials, luminaires, camera parameters, etc) using only information visible in an image. Such algorithms have applications in robotics and computer graphics. One such application is in physically grounded image editing: photo editing made easier by leveraging knowledge of the physical space. These applications allow sophisticated editing operations to be performed in a matter of seconds, enabling seamless addition, removal, or relocation of objects in images.
HIM: Hand Gesture Recognition in Mobile-Learning

learning is the technology which makes many people around the world to learn by sitting at their home. So by considering the importance of the mobile learning the aim of this research is to build a system which makes the dumb people to learn and communicate with other people in the language which they know (hand sign language) and also the people who want to communicate with others without touching the keyboard or the mobile they can use their hand movements for such purpose. To achieve this, the research will implement the hand gesture recognition in mobile device which includes laptops, mobile phones, tablet pc. The methodology of this research involves the capturing video through camera, segmentation of the hand information from captured video, real time tracking and recognition of hand gesture, and store the gestures in database along with the text, when dumb people or the other people wants to communicate with each other the camera will capture their hand movements and match these movements in database, if match occurs then it will send the corresponding text to the people either in speech or text. If it does not match then the user can add this new gesture of the hand in database along with the text which will be enter by the user. This text will corresponds to the text form of that particular gesture of the hand. KeywordsHand gesture recognition, Mobile Learning, Real time tracking, Segmentation, Speech or Text, Video.
High‐performance solid PEO/PPC/LLTO‐nanowires polymer composite electrolyte for solid‐state lithium battery

Solid polymer composite electrolyte (SPCE) with good safety, easy processability, and high ionic conductivity was a promising solution to achieve the development of advanced solid‐state lithium battery. Herein, through electrospinning and subsequent calcination, the Li0.33La0.557TiO3 nanowires (LLTO‐NWs) with high ionic conductivity were synthesized. They were utilized to prepare polymer composite electrolytes which were composed of poly (ethylene oxide) (PEO), poly (propylene carbonate) (PPC), lithium bis (fluorosulfonyl)imide (LiTFSI), and LLTO‐NWs. Their structures, thermal properties, ionic conductivities, ion transference number, electrochemical stability window, as well as their compatibility with lithium metal, were studied. The results displayed that the maximum ionic conductivities of SPCE containing 8 wt. % LLTO‐NWs were 5.66 × 10−5 S cm−1 and 4.72 × 10−4 S cm−1 at room temperature and 60°C, respectively. The solid‐state LiFePO4/Li cells assembled with this novel SPCE exhibited an initial reversible discharge capacity of 135 mAh g−1 and good cycling stability at a charge/discharge current density of 0.5 C at 60°C.
A fast parallel sorting algorithm on the k-dimensional reconfigurable mesh

We presents a new parallel sorting algorithm on the k-dimensional reconfigurable mesh which is a generalized version of the well-studied (two dimensional) reconfigurable mesh. We introduce a new mapping technique which combines the enlarged bandwidth of the multidimensional mesh and the feature of the reconfigurable mesh. Using our mapping technique, we show that N/sup k/ numbers can be sorted in O(4/sup k/) (constant time for small k) time on a k+1 dimensional reconfigurable mesh of size k+1 times N/spl times/N/spl times/. /spl times/N. In addition, it is shown that the number of 1's in a 0/1 array of k times size N/spl times/N/spl times/. /spl times/N can be computed in O(log* N+log k) time on reconfigurable k times mesh of size N/spl times/N/spl times/. /spl times/N.
The effect of reverse transcription enzymes and conditions on high throughput amplicon sequencing of the 16S rRNA

It is assumed that the sequencing of ribosomes better reflects the active microbial community than the sequencing of the ribosomal RNA encoding genes. Yet, many studies exploring microbial communities in various environments, ranging from the human gut to deep oceans, questioned the validity of this paradigm due to the discrepancies between the DNA and RNA based communities. Here, we focus on an often neglected key step in the analysis, the reverse transcription (RT) reaction. Previous studies showed that RT may introduce biases when expressed genes and ribosmal rRNA are quantified, yet its effect on microbial diversity and community composition was never tested. High throughput sequencing of ribosomal RNA is a valuable tool to understand microbial communities as it better describes the active population than DNA analysis. However, the necessary step of RT may introduce biases that have so far been poorly described. In this manuscript, we compare three RT enzymes, commonly used in soil microbiology, in two temperature modes to determine a potential source of bias due to non-standardized RT conditions. In our comparisons, we have observed up to six fold differences in bacterial class abundance. A temperature induced bias can be partially explained by G-C content of the affected bacterial groups, thus pointing toward a need for higher reaction temperatures. However, another source of bias was due to enzyme processivity differences. This bias is potentially hard to overcome and thus mitigating it might require the use of one enzyme for the sake of cross-study comparison.
Detection of sleep spindles by discrete wavelet transform

Reliable detection of sleep spindles from multichannel electroencephalogram (EEG) data has become an important issue recently. However, since the EEG data are usually accompanied with artifacts, pre-processing of these data has to be performed in order to increase detection accuracy. In this paper, the authors present the Discrete Wavelet Transform as an alternative method to capture the spindle activity. Wavelet Transform's advantage is its inherent way of decomposing the signal onto orthonormal dyadic frequency bands, thus excluding the need for notch or band pass filtering of the signal to eliminate electrical interferences. The authors display their results by a topographic map of the spindle activity.
A Modified Partial Power structure for Quasi Z-Source Converter to Improve Voltage Gain and Power Rating

Employing partial power processing (PPP) technique for quasi Z-source converter (QZSC) a new structure of the converter is presented. Using PPP technique although eliminates electrical insolation, but permits reducing voltage and current stress at the semiconductors, if compared with full power proposals. In this work, two PPP structures are discussed: A first one, similar to the basic topology, where the output voltage of the power converter is in series with the input voltage; and a second one, where the output is in series with the capacitor of the QZSC. This minor modification, which requires no extra elements, improves the power rating, voltage gain, and requires a lower transformation ratio. An experimental prototype of the proposed converter has been tested and the results are compared with other implementations, permitting to validate the theoretical analysis as well as the advantages that this proposal provides.
BinProlog 2006 version 11.x Professional Edition User Guide

A photosensor includes a semiconductor substrate of a first-conductivity type with a photoelectric conversion element such as photodiode thereon. The photodiode has a second, opposite conductivity and is surrounded at all of the bottom and sides by a domain having the second conductivity and a high impurity concentration. A first-conductivity domains forms a junction with the second-conductivity domain, and the photodiode is separated from other semiconductor elements by a first-conductivity domain.
Understanding ActiveX and OLE

１ ＡｃｔｉｖｅＸとＯＬＥについて ２ コンポーネントオブジェクトモデル ３ マーシャリングとタイプ情報 ４ オートメーション ５ 永続性 ６ モニカ ７ 汎用データ転送と接続可能オブジェクト ８ ＯＬＥ複合ドキュメント ９ ＡｃｔｉｖｅＸコントロール １０ 分散ＣＯＭ １１ ＡｃｔｉｖｅＸ、インターネット、およびＷｏｒｌｄ Ｗｉｄｅ Ｗｅｂ
Diagnosis of Lower Genital Tract Infection in Pregnancy: Routine Midtrimester High Vaginal Swab Followed by Gram Staining, Seems to be the Best Strategy

Screening of lower genital tract infection (LGTI) in mid-trimester prevents preterm birth (PTB). There is no consensus on best screening methods for LGTI-symptoms, speculum findings, a point of care tests or high vaginal swab microscopy. To know diagnostic accuracy of screening of lower genital tract infection (LGTI) in midtrimester by clinical symptom/signs and point of care tests (viz Amsel’s criteria) as against the gold standard microscopic tests using gram stain. Prospective observational study in a tertiary care hospital over two years. The study population included 228 antenatal women between 18th-24th weeks. Symptoms of vaginal discharge were noted. Speculum examination was performed on all, to detect the type of discharge. High vaginal swabs were collected, subjected to the point of care tests (Amsel’s criteria) as well as gram staining. Microscopy (Eg: Nugent’s criteria) was taken as the gold standard, to which other methods were compared. Thirty women (13.5%) were symptomatic. Among 198 that were asymptomatic, 91(45.92%) had LGTI. Speculum examination showed discharge in 221 (96.9%), but gram staining showed LGTI in only 104 (45.61%), among whom 45 (19.7%) had partial Bacterial vaginosis (BV), 14(6.1%) had full BV, and 40(17.5%) had candidiasis. The commonest discharge was homogenous thin white, suggestive of BV but 51% among them had normal vaginal flora (NVF); whereas 27% of those labelled physiological discharge were positive for BV. The appearance of discharge and gram stain thus did not correlate well. Amsel’s criteria had poor diagnostic accuracy compared to Nugent’s, although negative predictive value were high. There is a high prevalence of LGTI, especially BV among asymptomatic pregnant women at mid-trimester, best detected with a routine high vaginal swab and gram staining rather than relying on symptoms/speculum findings/point of care tests. Such testing may guide appropriate treatment for reducing the risk of PTB.
Diagnosis of Calibration State for Massive Antenna Array via Deep Learning

Time division duplex mode provides an attracting advantage called channel reciprocity to avoid excessive downlink (DL) pilot overhead, where the DL channel state information can be obtained from the uplink pilot. Unfortunately, such an ideal reciprocity would be broken easily because of hardware glitches from the transmit or receive radio frequency branches. In this letter, we develop a novel learning-based calibration state diagnosis network, where the linear pilot matrix and the non-linear reconstruction mapping decoder are learned jointly through training measure samples. With the assist of proposed network, a learning-based diagnosis procedure is designed to pick out the antennas that need to be calibrated. Experimental results demonstrate that both the normalized mean square error and accuracy are improved compared with the existing compressive sensing-based method.
Integrating map learning, localization and planning in a mobile robot

The major themes of our research include the creation of mobile robot systems that are robust and adaptive in rapidly changing environments and the view of integration as a basic research issue. Where reasonable, we try to use the same representations to allow different components to work more readily together and to allow better and more natural integration of and communication between these components. In this paper, we summarize our recent work in integrated mobile robot exploration, localization, and navigation.