Miracle-dz/UniFAR-FTUs huggingface dataset:
Derived operating conditions for classifier performance understanding

The target classification algorithm community is making a special effort to explicitly treat operating conditions (OCs) in classifier assessments and performance modeling. This is necessary because humans do not intuitively appreciate what makes classification difficult for computers-it just seems so easy to us. In analyzing OCs, some OCs are more direct or primitive while others are more abstract or integrating. These more abstract or "Derived OCs" provide an intermediate step between direct OCs and classifier performance. Similar to the target, sensor, environment partition of OCs, the AFRL COMPASE Center introduces the "Mossing 3" partition of derived OCs into "Clarity," "Uniqueness," and "Conformity. " Clarity is primarily concerned with the relevant information content available in the sensor data. Uniqueness is about the inherent separability between the types of objects to be classified (i.e., the library) and between all those types and objects not known to the classifier. Conformity is about the relationship between the OCs of the test instances and the OCs represented in the library types or training data. Furthermore, by analyzing derived OCs from multiple perspectives, informative subpartitions of the Mossing 3 are created. Clarity measures are well developed, particularly as image quality metrics. The other partitions are less well developed, but relevant work exists and is brought into context. While derived OCs and the Mossing 3 partition are not a complete solution to performance modeling, they help bring in powerful existing technologies and should enrich and facilitate dialogue on classifier performance theory and modeling.
The rate control scheme for JPEG-LS with high bitrate

JPEG-LS is an ISO/ITU lossless/near-lossless compression standard for continuous-tone images with both low complexity and good performance. However, the lack of rate control in JPEG-LS makes it unsuitable for applications, which have the requirement of the compression to a pre-specified size for purpose of effective storage management or effective bandwidth management. This paper proposes an efficient rate control scheme for JPEG-LS with a high bitrate. It is based on a good relationship for the optimal quantization steps of different slices and a good relationship for the optimal target bitrates of different slices. Comparing with the most previous JPEG-LS with rate control schemes, the proposed rate control scheme has a uniform performance for the whole image, and it is more suited for the near-lossless compression, but the most previous JPEG-LS with rate control schemes have the non-uniform performance. The experimental results show that the proposed rate control scheme achieves better compression performance for remote sensing compression with a high bitrate.
Informing a Robot of Object Location with Both Hand-Gesture and Verbal Cues

Recently, many kinds of robots are developed, and there are a lot of robots which work in human living space. One of the most important interactions between a robot and human is when a human informs a robot of an object’s location. The purpose of this work is to make an interface for informing a robot of object location in a human living space with several objects. We assume that the robot has found a user by sound source localization. At the beginning, the robot recognizes pointing gesture and verbal cues of the user, and detects candidates of object location. The system recognizes pointing direction by a stereo camera, and recognizes verbal cues. The direction of the pointing gesture and the directive word are used to restrict the searching space. When multiple object candidates are detected, the system asks the user for additional features such as color name or relative location among those, and then finds one of them. We have conducted experiments on a dialog task. There were three objects in the searching space. The system is able specify the object by dialog, after which, the robot moves toward it.
Researching "Construction client and innovation": Pilot study and analysis

Clients or users of products, processes or services are being identified as the potential sources of innovation in research conducted in various sectors (e.g. IT, aviation, and laboratory equipment). At present there is concern about the construction client’s potential to be an innovation promoter within the construction industry. Several researchers have recommended proactive client involvement in construction. Within this background, the authors have designed a research with the aim of ‘improving the role of the client in promoting innovation’. In this context, this paper is an attempt to elaborate on the initial findings that emerged from the initial pilot case study
Performance evaluation of TCP over ABT protocols

ABT is promising for effectively transferring a highly bursty data traffic in ATM networks. Most of past studies focused on the data transfer capability of ABT within the ATM layer. In actual, however, we need to consider the upper layer transport protocol since the transport layer protocol also supports a network congestion control mechanism. One such example is TCP, which is now widely used in the Internet. In this paper, we evaluate the performance of TCP over ABT protocols. Simulation results show that the retransmission mechanism of ABT can effectively overlay the TCP congestion control mechanism so that TCP operates in a stable fashion and works well only as an error recovery mechanism.
GACO: A GPU-based High Performance Parallel Multi-ant Colony Optimization Algorithm ⋆

As a population-based algorithm, Ant Colony Optimization (ACO) is intrinsically massively parallel, and therefore it is expected to be well-suited for implementation on GPUs (Graphics Processing Units). In this paper, we present a novel ant colony optimization algorithm (called GACO), which based on Compute Unified Device Architecture (CUDA) enabled GPU. In GACO algorithm, we utilize some novel optimizations, such as hybrid pheromone matrix update, dynamic nearest neighbor path construction, and multiple ant colony distribution, which result in a higher speedup and a better quality solutions compared to other peer of algorithms. GACO is tested by the Traveling Salesman Problem (TSP) benchmark, and the experimental results show a total speedup up to 40:1× and 35:7× over implementation of Ant Colony System (ACS) and Max-min Ant System (MMAS), respectively.
Are the Emotions Expressed in Music Genre-specific? An Audio-based Evaluation of Datasets Spanning Classical, Film, Pop and Mixed Genres

Abstract Empirical studies of emotions in music have described therole of individual musical features in recognizing particular emotions. However, no attempts have been made as yet to establish if there is a link between particular emotions and a specific genre. Here this is investigated byanalysing nine separate datasets that represent categories ranging from classical (three sets), and film music (two), to popular music (two), and mixed genre (two). Atotal of 39 musical features were extracted from the audio. Models were then constructed from theseto explain self-reports of valence and arousal, by using multiple andRandom Forest regression. The models were fully validated across the datasets, suggesting low generalizability between the genres for valence (16% variance was accounted for) and moderately good generalizability between the genres for arousal (43%). In contrast, the generalizability within genres was considerably higher (43% and 62% respectively), which suggests that emotions, especially those that express valence, operate differently depending on the musical genre. The most reliable musical features of affects across genres were identified, yielding aranked set of features most likely to operate across the genre. In conclusion, the implications of the findings, and the genre-specificity of emotions in music are discussed.
Unlinkable Identification for Large-scale RFID Systems

Unlinkability, the property that prevents an adversary recognizing whether outputs are from the same user, is an important concept in RFID. Although hash-based schemes can provide unlinkability by using a low-cost hash function, existing schemes are not scalable since the server needs O(N) hash calculations for every ID matching, where N is the number of RFID devices. Our solution is the K-steps ID matching scheme, which can reduce the number of hash calculations on the server to O(logN). In this paper, we explain the protocol, describe a test implementation, and discuss the application of this scheme to practical RFID systems. We also compare the scheme with other hash-based schemes from various viewpoints.
Simultaneous quantitative estimation of Telmisartan and Hydrochlorothiazide in bulk and marketed tablet formulation by HPTLC-a Stability indicating method

A stability indicating HPTLC method is proposed for the simultaneous estimation of telmisartan and hydrochlorothiazide in bulk and tablet formulation. Well resolved chromatogram was obtained on TLC plates coated with silica gel 60F254 with densitometric detection at 233 nm. Two drugs were satisfactorily resolved with Rf 0.21± 0.02 and 0.53± 0.02 for Telmisartan and Hydrochlorothiazide respectively. Linearity was found in the range of 0.18-5.76 µg / band (r2 = 0.999) for telmisartan and 0.056-1.6 µg/ band (r2 = 0.999) for Hydrochlorothiazide. The % recovery for analytes were in the range of 98.5-101.6 % w/w. Drugs were subjected to stress conditions like acid, base, neutral hydrolysis, oxidative, photolytic and thermal stress. Hydrochlorothiazide was found to be more prone to degradation than telmisartan. Both drugs were oxidised fast as compared under other stress conditions. Peak purity has indicated no interference from numerous degradation products formed with the analysis of drugs. Keywords: Telmisartan, Hydrochlorothiazide, Stability, HPTLC, Validation, Stress
Analysis of User Influence Using User Behavior and Random Walk

To improve the effect of user influence predicting in microblog, this paper proposed a new method of user influence analysis named UBRWR, based on user interactive behavior and the random walk method. UBRWR firstly used the behaviors between users to reconstruct the network topology, and then an improved PageRank algorithm was applied to predict the user influence, with quantized individual attribute features. The experimental in Weiba show that the UBRWR algorithm outperforms the PageRank algorithm and method using fans count in terms of ranking accuracy.
Notice of Violation of IEEE Publication Principles Language Models for Web Object Retrieval

Document-level information retrieval can unfortunately lead to highly inaccurate relevance ranking in answering object-oriented queries. A paradigm is proposed to enable searching at the object level. However, this reliability assumption is no longer valid in the object retrieval context when multiple copies of information about the same object typically exist. To resolve multiple copies inconsistent issue, we propose several language models for Web object retrieval, namely an unstructured object retrieval model, a structured object retrieval model, and a hybrid model with both structured and unstructured retrieval features. We test these models on a paper search engine and compare their performances. We conclude that the hybrid model is the superior by taking into account the extraction errors at varying levels.
A pioneer compression technique for database

The advent of information technology has affected all walks of life. And when we talk the use of information technology in a business environment, we cannot ignore the presence of a data base system as its core. Data base technology has also grown from a simple file system to data navigation system, & over a last two decade a majority of top-&-middle level business institutions have adopted the computerization process, & as a result have been flooded with data. Temporal database [1] (a database that require some aspect of time when organizing their information) often increases with the time like information from reservation counters (flight, railways, buses, hotels), Bank ATMs, shares price from stock market, insurance policies. So with the limited resource how to manage and store this data, the only possible solution we can have is to just compress & store it with in the available resource. The traditional approach of compression [2] make use of entropy encoding (compress without any regard to it's content), whereas we can take advantage of its structure (source encoding) for compression as we do in audio or image compression. This paper presents an attempt to apply this category of compression method for a database file.
Theory of cross-coupled RF oscillator for multi- and quadrature-phase signal generation

We proved in this paper that, a system composed of identical sub-systems that are cross-coupled in certain manner is capable of generating multi- or quadrature-phase oscillation signals under specified conditions. Based on the theory, an RC multi-phase oscillator is proposed as an example, for which the condition for maintaining stable oscillation is also deduced. Moreover, a detailed numerical result is presented, particularly for a four-phase, namely quadrature oscillator, which is in accordance with the proposed theoretical analysis.
Remote bar-code localisation using mathematical morphology

Bar-code labels are used in industry to identify and classify a wide variety of products, tools and equipment, their reading generally being undertaken via a laser scanning system. In most cases the number, position and orientation of the bar-codes are well known. However, a particular application under consideration here involves the identification of radioactive material containers via their bar-codes, in which general safety requirements demand remote identification (at least five metre distant) and where laser scanning cannot be used. The images acquired can contain more than one bar-code and these can be found in varying positions within the field of view. Furthermore the container bar code labels are known to occur in random position and orientation. This work focuses on a computer vision based solution to this problem in which the bar-codes are remotely located from within a general grey scale image using a morphological based processing and algorithm. The final solution utilises a pipelined architecture to obtain near real-time operation.
Intelligent Control of the Electrical Tuning Process for the Manufacturing of Televisions Using Soft Computing Techniques

We describe in this paper an intelligent system for controlling the electrical tuning process during the manufacturing of televisions. The electrical tuning problem consists in controlling the imaging system of the television to meet production quality requirements. Traditionally, this tuning process has been performed by human operators, by manually adjusting the imaging system in the television. In our approach, we use fuzzy logic to automate the tuning process for the televisions. We use a fuzzy system for controlling the voltage, current, and the time during the tuning process, so that the best possible quality of image is achieved. We have implemented this intelligent system for control in the MATLAB programming language with good simulation results. The intelligent system has also been tested in a real production plant for several months with excellent results.
MIRAS, a two-dimensional aperture synthesis radiometer

Based on the experimented potential use of aperture synthesis (Le Vine, 1990), the European Space Agency has initiated the study of a spaceborne Microwave Interferometric Radiometer with Two-Dimensional Aperture Synthesis (MIRAS) as well as the development of an airborne version of this instrument. The objective of this radiometer is to study and demonstrate the feasibility of two-dimensional interferometry for measuring Earth's soil moisture content and ocean salinity from space, through breadboard implementation and eventually aircraft campaigns. <<ETX>>
Prediction of fingerprint orientation

This work presents an algorithm to predict fingerprint orientation. The algorithm consists of two models: coarse prediction model and polynomial model. The coarse prediction model, which is based on first order phase portrait, is proposed to estimate the orientation in areas where there is no ridge information in the input image. Polynomial model is used to refine the fingerprint orientation predicted by the coarse model. Experimental results show the effectiveness of the proposed algorithm.
Lexically-scoped type variables

As type inference systems become more sophisticated, it becomes increasingly important to allow the programmer to give type annotations that both document the program and guide type inference. In Haskell 98, it is not possible to write certain type annotations, because they must mention a type that is “in scope” and the language provides no way to name such types. The obvious solution is to provide language support for lexicallyscoped type variables, an area whose design space has not been systematically explored. Our contribution is to bring together the relevant folk lore, in coherent form, and make it accessible to a much larger community than hitherto. In particular, we describe and contrast two main alternative designs — the “type-lambda” approach of SML 97, and an alternative “type-sharing” approach which is used by GHC and OCaml — and survey some alternative design choices. Scoped type variables will play a key role in the type systems of the future; they can no longer be added as an afterthought to language implementations.
Comparison Analysis Of Stream Cipher Algorithms For Digital Communication

Penghantaran maklumat dalam sistem komunikasi radio seperti frekuensi tinggi akan mendedahkan maklumat itu kepada pihak–pihak yang tidak berkaitan. Untuk memastikan maklumat tersebut selamat, ia haruslah dienkodkan terlebih dahulu sebelum dihantar. Bagi maklumat bersaiz besar, pengenkod jenis satu bit adalah lebih sesuai berbanding pengenkod jenis blok kerana ia lebih cepat dan tidak mempengaruhi bit bersebelahan jika berlakunya kesilapan semasa penghantaran. Pengenkod satu bit biasanya dihasilkan menggunakan kaedah anjakan balik secara linear dan juga penggabungan secara tidak linear. Dengan menggunakan panjang kunci yang sama untuk setiap pengenkod iaitu 64 bit, kekuatan pengenkod ditentukan dengan menggunakan beberapa jenis ujian piawaian. Pengenkod yang melepasi kesemua ujian adalah yang paling baik dan sesuai untuk digunakan dalam penghantaran maklumat digital. Kata kunci: Penghantaran, pengenkod, komunikasi, selamat, linear The broadcast nature of radio communication such as in the HF (High Frequency) spectrum exposes the transmitted information to unauthorized third parties. Confidentiality is ensured by employing cipher system. For bulk transmission of data, stream ciphers are ideal choices over block ciphers due to faster implementation speed and not introducing error propagation. The stream cipher algorithms evaluated are based on the linear feedback shift register (LFSR) with nonlinear combining function. By using a common key length and worst case conditions, the strength of several stream cipher algorithms are evaluated using statistical tests, correlation attack, linear complexity profile and nonstandard test. The best algorithm is the one that exceeds all of the tests. Key words: Confidential, LFSR, stream, block, correlation
Combination with Machine Learning Algorithms for the Classification in E-Bussiness

E-bussiness has grown rapidly in the last decade and massive amount of data on customer purchases, browsing pattern and preferences has been generated. Classification of electronic data plays a pivotal role to mine the valuable information and thus has become one of the most important applications of E-bussiness. Support Vector Machines are popular and powerful machine learning techniques, and they offer state-of-the-art performance. Rough set theory is a formal mathematical tool to deal with incomplete or imprecise information and one of its important applications is feature selection. In this paper, rough set theory and support vector machines are combined to construct a classification model to classify the data of E-bussiness effectively.
A Fault Identification Algorithm for Satellite Networks Based on System Level Diagnosis

It is a challenge to support the fault tolerance for satellite networks, in which fault identification is primary. After modeling satellite networks with two-level-node graph, a fault identification algorithm based on PMC test invalidation model is presented and proved to be correct. The effectiveness of the algorithm in different types of satellite networks is compared and studied by simulations. The results of experiments illustrate that the
CatQC and Shelf-Ready Material: Speeding Collections to Users While Preserving Data Quality

Libraries contract with vendors to provide shelf-ready material, but is it really shelf-ready? It arrives with all the physical processing needed for immediate shelving, then lingers in back offices while staff conduct itemby-item checks against the catalog. CatQC, a console application for Microsoft Windows developed at the University of Florida, builds on OCLC services to get material to the shelves and into the hands of users without delay and without sacrificing data quality. Using standard C programming, CatQC identifies problems in MARC record files, often applying complex conditionals, and generates easy-to-use reports that do not require manual item review.
The crystal structure of bis[μ2-(N,N-diethylcarbamodithioato-κS:κS,κS′)] bis[1′-(diphenylphosphino-κP)-1-cyanoferrocene]disilver(I), C56H56Ag2Fe2N4P2S4

Abstract C56H56Ag2Fe2N4P2S4, triclinic, P1̄ (no. 2), a = 9.5058(2) Å, b = 10.8362(2) Å, c = 14.3325(3) Å, α = 72.400(1)°, β = 75.241(1)°, γ = 77.132(1)°, V = 1343.71(5) Å3, Z = 1, Rgt(F) = 0.0191, wRref(F2) = 0.0443, T = 150(2) K.
A Principle Modeling Framework for Software Intensive Systems

A systematic modeling framework for utilizing UML for effective modeling is introduced, keeping consistency and traceability among the various aspects and elements of the system. The proposed framework defines five conceptual decomposition levels for software‐intensive systems modeling, namely, the Business level, the Software‐Intensive System (SWIS) level, the Computer Software Configuration Item (CSCI) level, the Computer Software Component level (CSC) and the Computer Software Unit (CSU) level. Each system‐element at each level is considered a “system‐of‐interest” on its own, while all of them adhere to a unified common definition of the term “system”. In addition, each of the analysis and design levels is associated with integration and testing level, and a consistent modeling between the operational configurations and the testing configurations is introduced. Consideration is also given to modeling of configurations in other stages of the life cycle. The framework has been successfully deployed and proven usable in a graduate level systems engineering course as well as in an undergraduate software engineering course.
Low data rate architecture for smart image sensor

An innovative smart image sensor architecture based on event-driven asynchronous functioning is presented in this paper. The proposed architecture has been designed in order to control the sensor data flow by extracting only the relevant information from the image sensor and performing spatial and temporal redundancies suppression in video streaming. We believe that this data flow reduction leads to a system power consumption reduction which is essential in mobile devices. In this first proposition, we present our new pixel behaviour as well as our new asynchronous read-out architecture. Simulations using both Matlab and VHDL were performed in order to validate the proposed pixel behaviour and the reading protocol. These simulations results have met our expectations and confirmed the suggested ideas.