nils-herrmann/clean_scirepeval huggingface dataset:
Comparison and evaluation of ontology visualizations

In the last couple of years a large number of software aiming at visualizing ontologies were introduced, causing difficulties in selecting an objectively suitable visualizing tool. This work lists free and commercial tools in four groups named by the visualizing method used by members of each group. Furthermore a detailed examination of each tool in a separate section is presented. Finally the document comes to an end with an overview of all listed tools and a recommendation of the most powerful ones of each group.
Sustainable recycling of municipal solid waste in developing countries.

This research focuses on recycling in developing countries as one form of sustainable municipal solid waste management (MSWM). Twenty-three case studies provided municipal solid waste (MSW) generation and recovery rates and composition for compilation and assessment. The average MSW generation rate was 0.77 kg/person/day, with recovery rates from 5-40%. The waste streams of 19 of these case studies consisted of 0-70% recyclables and 17-80% organics. Qualitative analysis of all 23 case studies identified barriers or incentives to recycling, which resulted in the development of factors influencing recycling of MSW in developing countries. The factors are government policy, government finances, waste characterization, waste collection and segregation, household education, household economics, MSWM (municipal solid waste management) administration, MSWM personnel education, MSWM plan, local recycled-material market, technological and human resources, and land availability. Necessary and beneficial relationships drawn among these factors revealed the collaborative nature of sustainable MSWM. The functionality of the factor relationships greatly influenced the success of sustainable MSWM. A correlation existed between stakeholder involvement and the three dimensions of sustainability: environment, society, and economy. The only factors driven by all three dimensions (waste collection and segregation, MSWM plan, and local recycled-material market) were those requiring the greatest collaboration with other factors.
Truthful incentives in crowdsourcing tasks using regret minimization mechanisms

What price should be offered to a worker for a task in an online labor market? How can one enable workers to express the amount they desire to receive for the task completion? Designing optimal pricing policies and determining the right monetary incentives is central to maximizing requester's utility and workers' profits. Yet, current crowdsourcing platforms only offer a limited capability to the requester in designing the pricing policies and often rules of thumb are used to price tasks. This limitation could result in inefficient use of the requester's budget or workers becoming disinterested in the task.
 In this paper, we address these questions and present mechanisms using the approach of regret minimization in online learning. We exploit a link between procurement auctions and multi-armed bandits to design mechanisms that are budget feasible, achieve near-optimal utility for the requester, are incentive compatible (truthful) for workers and make minimal assumptions about the distribution of workers' true costs. Our main contribution is a novel, no-regret posted price mechanism, BP-UCB, for budgeted procurement in stochastic online settings. We prove strong theoretical guarantees about our mechanism, and extensively evaluate it in simulations as well as on real data from the Mechanical Turk platform. Compared to the state of the art, our approach leads to a 180% increase in utility.
The correspondence bias.

The correspondence bias is the tendency to draw inferences about a person's unique and enduring dispositions from behaviors that can be entirely explained by the situations in which they occur. Although this tendency is one of the most fundamental phenomena in social psychology, its causes and consequences remain poorly understood. This article sketches an intellectual history of the correspondence bias as an evolving problem in social psychology, describes 4 mechanisms (lack of awareness, unrealistic expectations, inflated categorizations, and incomplete corrections) that produce distinct forms of correspondence bias, and discusses how the consequences of correspondence-biased inferences may perpetuate such inferences.
Security, privacy and safety evaluation of dynamic and static fleets of drones

Interconnected everyday objects, either via public or private networks, are gradually becoming reality in modern life — often referred to as the Internet of Things (IoT) or Cyber-Physical Systems (CPS). One stand-out example are those systems based on Unmanned Aerial Vehicles (UAVs). Fleets of such vehicles (drones) are prophesied to assume multiple roles from mundane to high-sensitive applications, such as prompt pizza or shopping deliveries to the home, or to deployment on battlefields for battlefield and combat missions. Drones, which we refer to as UAVs in this paper, can operate either individually (solo missions) or as part of a fleet (group missions), with and without constant connection with a base station. The base station acts as the command centre to manage the drones' activities; however, an independent, localised and effective fleet control is necessary, potentially based on swarm intelligence, for several reasons: 1) an increase in the number of drone fleets; 2) fleet size might reach tens of UAVs; 3) making time-critical decisions by such fleets in the wild; 4) potential communication congestion and latency; and 5) in some cases, working in challenging terrains that hinders or mandates limited communication with a control centre, e.g. operations spanning long period of times or military usage of fleets in enemy territory. This self-aware, mission-focused and independent fleet of drones may utilise swarm intelligence for a), air-traffic or flight control management, b) obstacle avoidance, c) self-preservation (while maintaining the mission criteria), d) autonomous collaboration with other fleets in the wild, and e) assuring the security, privacy and safety of physical (drones itself) and virtual (data, software) assets. In this paper, we investigate the challenges faced by fleet of drones and propose a potential course of action on how to overcome them.
A linguistic theory of translation : an essay in applied linguistics

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Reduced Size Planar Dual-Polarized Log-Periodic Antenna for Bidirectional High Power Transmit and Receive Applications

An improved method of more than halving the turn on frequency of a 4-arm log-periodic (LP) antenna for dual-circularly polarized (CP) bidirectional use is demonstrated. The ground plane currents of a slot-LP are manipulated by varying “ground plane” shape to form a ring-turnstile-slot LP aperture and thus extend the overall antenna bandwidth. The proposed concept is used to design and fabricate an antenna that is 2.3 times smaller than the conventional 4-arm LP and works from 500 MHz to 3 GHz. Microstrip impedance transformer/balun is used to feed the LP thus allowing for bidirectional use and much simpler beamforming network for dual-polarized operation. VSWR and far-field behavior of the antenna are characterized and its high-power thermal stability is demonstrated through a high-power test. The advantages over the previously designed ring-turnstile-LP configuration are highlighted and the design principles undertaken to make the antenna high-power capable are illustrated. The prototyped antenna is meant not only to illustrate the proposed concept but also as a viable high-power bidirectional antenna.
Deep transfer learning with ontology for image classification

Purely, data-driven large scale image classification has been achieved using various feature descriptors like SIFT, HOG etc. Major milestone in this regards is Convolutional Neural Networks (CNN) based methods which learn optimal feature descriptors as filters. Little attention has been given to the use of domain knowledge. Ontology plays an important role in learning to categorize images into abstract classes where there may not be a clear visual connect between category and image, for example identifying image mood - happy, sad and neutral. Our algorithm combines CNN and ontology priors to infer abstract patterns in Indian Monument Images. We use a transfer learning based approach in which, knowledge of domain is transferred to CNN while training (top down transfer) and inference is made using CNN prediction and ontology tree/priors (bottom up transfer ). We classify images to categories like Tomb, Fort and Mosque. We demonstrate that our method improves remarkably over logistic classifier and other transfer learning approach. We conclude with a remark on possible applications of the model and note about scaling this to bigger ontology.
The land unit — A fundamental concept in landscape ecology, and its applications

The land unit, as an expression of landscape as a system, is a fundamental concept in landscape ecology. It is an ecologically homogeneous tract of land at the scale at issue. It provides a basis for studying topologic as well as chorologic landscape ecology relationships. A land unit survey aims at mapping such land units. This is done by simultaneously using characteristics of the most obvious (mappable) land attributes: land-form, soil and vegetation (including human alteration of these three). The land unit is the basis of the map legend but may be expressed via these three land attributes. The more dynamic land attributes, such as certain animal populations and water fluxes, are less suitable as diagnostic criteria, but often link units by characteristic information/energy fluxes. The land unit survey is related to a further development of the widely accepted physiographic soil survey see Edelman (1950). Important aspects include: by means of a systems approach, the various land data can be integrated more appropriately; geomorphology, vegetation and soil science support each other during all stages (photo-interpretation, field survey, data processing, final classification); the time and costs are considerably less compared with the execution of separate surveys; the result is directly suitable as a basis for land evaluation; the results can be expressed in separate soil, vegetation, land use and landform maps, or even single value maps. A land unit survey is therefore: a method for efficient survey of land attributes, such as soils, vegetation, landform, expressed in either separate or combined maps; a means of stimulating integration among separate land attribute sciences; an efficient basis for land evaluation. For multidisciplinary projects with applied ecologic aims (e.g., land management), it is therefore the most appropriate survey approach. Within the land unit approach there is considerable freedom in the way in which the various land attribute data are ‘integrated’. It is essential, however, that: during the photo-interpretation stage, the contributions of the various specialists are brought together to prepare a preliminary (land unit) photo-interpretation map; the fieldwork data are collected at exactly the same sample point, preferably by a team of specialists in which soil, vegetation and geomorphology are represented; the final map is prepared in close cooperation of all contributing disciplines, based on photo-interpretation and field data; the final map approach may vary from one fully-integrated land unit map to various monothematic maps.
Microgrid planning and operation: Solar energy and wind energy

Economic, technology and environmental incentives are changing the features of electricity generation and transmission. Centralized power systems are giving way to local scale distributed generations. At present, there is a need to assess the effects of large numbers of distributed generators and short-term storage in Microgrid. To accommodate the high demand of renewable energy and the environment policy, the planning and operation of Micro-source generators has been studied using HOMER. Simulation results show a case study of an optimal microgrid configuration on Ontario area in Canada. Sensitivity variables are specified to examine the effect of uncertainties (e.g. diesel price and average wind speed), especially in a long-term planning. The effect of air emission penalties on Microgrid planning is also well presented.
Discovering Your Selling Points: Personalized Social Influential Tags Exploration

Social influence has attracted significant attention owing to the prevalence of social networks (SNs). In this paper, we study a new social influence problem, called personalized social tags exploration (PITEX), to help any user in the SN explore how she influences the network. Given a target user, it finds a size-k tag set that maximizes this user's social influence. We prove the problem is NP-hard to be approximated within any constant ratio. To solve it, we introduce a sampling-based framework, which has an approximation ratio of 1-ε over 1+ε with high probabilistic guarantee. To speedup the computation, we devise more efficient sampling techniques and propose best-effort exploration to quickly prune tag sets with small influence. To further enable instant exploration, we devise a novel index structure and develop effective pruning and materialization techniques. Experimental results on real large-scale datasets validate our theoretical findings and show high performances of our proposed methods.
A review and future direction of agile, business intelligence, analytics and data science

Agile methodologies were introduced in 2001. Since this time, practitioners have applied Agile methodologies to many delivery disciplines. This article explores the application of Agile methodologies and principles to business intelligence delivery and how Agile has changed with the evolution of business intelligence. Business intelligence has evolved because the amount of data generated through the internet and smart devices has grown exponentially altering how organizations and individuals use information. The practice of business intelligence delivery with an Agile methodology has matured; however, business intelligence has evolved altering the use of Agile principles and practices. The Big Data phenomenon, the volume, variety, and velocity of data, has impacted business intelligence and the use of information. New trends such as fast analytics and data science have emerged as part of business intelligence. This paper addresses how Agile principles and practices have evolved with business intelligence, as well as its challenges and future directions.
DeepHand: Robust Hand Pose Estimation by Completing a Matrix Imputed with Deep Features

We propose DeepHand to estimate the 3D pose of a hand using depth data from commercial 3D sensors. We discriminatively train convolutional neural networks to output a low dimensional activation feature given a depth map. This activation feature vector is representative of the global or local joint angle parameters of a hand pose. We efficiently identify 'spatial' nearest neighbors to the activation feature, from a database of features corresponding to synthetic depth maps, and store some 'temporal' neighbors from previous frames. Our matrix completion algorithm uses these 'spatio-temporal' activation features and the corresponding known pose parameter values to estimate the unknown pose parameters of the input feature vector. Our database of activation features supplements large viewpoint coverage and our hierarchical estimation of pose parameters is robust to occlusions. We show that our approach compares favorably to state-of-the-art methods while achieving real time performance (≈ 32 FPS) on a standard computer.
A Taxonomy for Artificial Embryogeny

A major challenge for evolutionary computation is to evolve phenotypes such as neural networks, sensory systems, or motor controllers at the same level of complexity as found in biological organisms. In order to meet this challenge, many researchers are proposing indirect encodings, that is, evolutionary mechanisms where the same genes are used multiple times in the process of building a phenotype. Such gene reuse allows compact representations of very complex phenotypes. Development is a natural choice for implementing indirect encodings, if only because nature itself uses this very process. Motivated by the development of embryos in nature, we define artificial embryogeny (AE) as the subdiscipline of evolutionary computation (EC) in which phenotypes undergo a developmental phase. An increasing number of AE systems are currently being developed, and a need has arisen for a principled approach to comparing and contrasting, and ultimately building, such systems. Thus, in this paper, we develop a principled taxonomy for AE. This taxonomy provides a unified context for long-term research in AE, so that implementation decisions can be compared and contrasted along known dimensions in the design space of embryogenic systems. It also allows predicting how the settings of various AE parameters affect the capacity to efficiently evolve complex phenotypes.
Switched-opamp: an approach to realize full CMOS switched-capacitor circuits at very low power supply voltages

The implementation of analog CMOS circuits that operate in the very low power supply voltage range (1 V to 2 V) becomes more important nowadays. Most accurate filter circuits are designed in the switched-capacitor technique. The existing design techniques require, however, the on-chip generation of a higher voltage by means of a voltage multiplier. In this paper, a novel technique, derived from the standard switched-capacitor technique, is presented. It is called switched-opamp because it is based on the replacement of the critical switches with opamps which are turned on and off. This technique results in a true, very low voltage operation without the need for voltage multipliers. As an example, a second order lowpass switched-capacitor filter is implemented in the switched-opamp technique. This filter operates with only a 1.5 V power supply. It is realized in a 2.4pm CMOS process with T i . = f0 .9 V. It has a measured total harmonic distortion of -60 dB for a signal swing of 600 mVPt, and a powerdrain of only 110 pW.
Filling Holes in Triangular Meshes in Engineering

In this paper, a novel hole-filling algorithm for triangular meshes is proposed. Firstly, the hole is triangulated into a set of new triangles using modified principle of minimum angle. Then the initial patching mesh is refined according to the density of vertices on boundary edges. Finally, the patching mesh is optimized via the bilateral filter to recover missed features. Experimental results demonstrate that the proposed algorithm fills complex holes robustly, and preserves geometric features to a certain extent as well. The resulted meshes are of good quality for engineering.
A Planar Magic-T Using Substrate Integrated Circuits Concept

In this letter, a slotline to substrate integrated waveguide transition is proposed for the development of substrate integrated circuits. The insertion loss of the back-to-back transition is less than 1 dB from 8.7 to 9.0 GHz. With this transition, a planar magic-T is studied and designed. Measured results indicate a very good performance of the fabricated magic-T is observed within the experimental frequency range of 8.4-9.4 GHz. The amplitude and phase imbalances are less than 0.2 dB and 1.5deg, respectively.
The brief aggression questionnaire: psychometric and behavioral evidence for an efficient measure of trait aggression.

A key problem facing aggression research is how to measure individual differences in aggression accurately and efficiently without sacrificing reliability or validity. Researchers are increasingly demanding brief measures of aggression for use in applied settings, field studies, pretest screening, longitudinal, and daily diary studies. The authors selected the three highest loading items from each of the Aggression Questionnaire's (Buss & Perry, 1992) four subscales--Physical Aggression, Verbal Aggression, anger, and hostility--and developed an efficient 12-item measure of aggression--the Brief Aggression Questionnaire (BAQ). Across five studies (N = 3,996), the BAQ showed theoretically consistent patterns of convergent and discriminant validity with other self-report measures, consistent four-factor structures using factor analyses, adequate recovery of information using item response theory methods, stable test-retest reliability, and convergent validity with behavioral measures of aggression. The authors discuss the reliability, validity, and efficiency of the BAQ, along with its many potential applications.
Comlex Syntax: Building a Computational Lexicon

We des((tile tile design of Comlex Syntax, a co,nputa-tional lexicon providing detailed syntactic iuformation ff)r approximately 38,000 English headwords. We consider the types of errors which arise in creating such a lexicon, and how such errors can be measured and controlled. 1 Goal The goal of the (:omlex Syntax project is to create a moderately-broad-coverage lexicon recording the syntactic features of gnglist; words for purposes of cou> putational language analysis. This dictionary is being developed at New York University and is to he distributed by the Linguistic Data Consortimn, to be freely usable for both research and commercial purposes by members of the Consortium. In order to ineet the needs of a wide range of an~> lyzers, we have inchlded a rich set of syntactic features and haw~ aimed to characterize these Datures in a relatively theory-neutral way. In l)articnlar, the feature set is more detailed than those of the major commercial dictionaries, such ;us the Oxford Adwmced Learner's Dictionary (OALI)) [d] and the Longnum Dictionary of Contemporary English (LDOCE) , which haw~ I)een widely used as a source o[' lexical i,,for,,lal, ioil ill ];lll-guage analyzers. 1 In addil.ion, we have ahned to be irio,'e cOrrlpreheiisive ill capturhig featt, res (hi partic.u-]ar, stibcategorization ['eatures) than co,iI,llercial dic tlonaries. by Prof. Roger Mitten from the Oxford Adwn,ced Learner's Dictionary, and contains about 38,000 head forms, although some purely British terms have been omitted, loach entry is organized as a nested set of typed feature-vahle lists. We currently use a Lisp-like parenthesized list notation, although the lexicon couhl ITo facilii~ate the transition to COMLEX by currenl, users of these dictionaries, we have i)reparcd mappings froln COMI,EX classes to those of several other dictionaries. SOllie sauil)le dicticll,ary entries are shown ilt Figure 1. The first syml/ol gives the part of speech; a word with several parts of speech will have several dictionary entries, one for each part of speech. Each e,itry has all :orth foatilre, giving the base fO,'lfl of tile word, No,ins, verbs, and adjectiw~s with irregular Inorphology will liave featt,res for the irregular fo,.iris :plural, :past, :past-part, etc. Words which take con-,i)leirients will have a subcatego,'ization (:sube) ['eat,ire. For exaniple> the verb "ai)andon" eali occur with a IlOllri phrase followed by a prepositional phrase with tim preposition "to" (e.g., "1 abandoned hii,i to the linguists.") or with just a ,lOll,, phrase compleifient ("[ aballdone(l the shill."). Other syntactic features are recorded …