bluuebunny/crossref_metadata_2025_split huggingface dataset:
Semi-Autonomous Drone for Agriculture on the Tractor Base
Authors: Kashkarov Anton , Diordiiev Volodymyr , Sabo Andrii , Novikov Gennadii 
Published: January 2019

Abstract
This paper deals with the prospects of using a drone for spraying the gardens and vineyards. Relevance of this process is substantiated with the help of statistical data on the industry in Ukraine. To increase the efficiency of drones during the plant treatment, the concept of a semi-autonomous drone is proposed with connection to a communication line with a tractor – a “tractor-drone” complex. A spraying solution and commands for the drone are transmitted via the communication line. Basic physical formulas for appropriate selection of technical means for the lifting of sprayer frame are presented. Environmental parameters for the flight control system were estimated: temperature fluctuation at 20 K requires screw speed increase by 1.5%; an increase in atmospheric pressure by 5% allows reduction of screw speed by 2%. Tasks of the control system for the concept of semi-autonomous drones are defined in the paper.
Aspects of the Internal Gear Honing Process
Authors: Lupas Rares , Beju Livia Dana 
Published: January 2019

Abstract
The paper analyzes the process of internal honing of cylindrical gears, a new and modern method of finishing the gear tooth flanks. At the beginning, the kinematics of the process is being analyzed. By realizing the state of art, we were able to identify the main features of the process, its advantages in terms of surface precision and quality, the residual stresses and the wear of the flanks compared with other finishing processes. An experimental study of the geometric precision, the shape of the flanks and the roughness for honed surfaces compared to the unfinished ones, highlighted the value and the need of this process.
Antimicrobial resistance of bacterial isolates from different dairy products and their emergence in the food chain
Authors: György É. , Laslo É. 
Published: January 2019

Abstract
The antibiotic resistance of foodborne pathogens represents a healthcare concern globally. This phenomenon has an increasing impact on medicine and economy. A total of 26 spoilage and pathogenic bacterial isolates originating from different dairy products have been screened against eight different antibiotics. Based on the type of the selective agar medium used for their isolation, the isolates were: five staphylococci isolates, six Vibrio isolates, two Pseudomonas sp. isolates, three Salmonella isolates, five E. coli isolates, and five coliform isolates. The overall resistance to the tested antimicrobials of the bacterial isolates was 31.73%, the majority being susceptible. Based on the results, there are isolates with multiple antibiotic patterns that can be possible risk factors and may call for preventive measures.
Methods and procedures for reducing soy trypsin inhibitor activity by means of heat treatment combined with chemical methods
Authors: Csapó J. , Albert Cs. 
Published: January 2019

Abstract
We have developed a new procedure for reducing soy trypsin inhibitor activity by means of heat treatment combined with chemical methods, through which soy trypsin inhibitor activity decreases to the tenth or twentieth part of the original value. We determined the optimal concentration of the applied chemicals (hydrogen-peroxide, ammonium-hydroxide) as well as the optimal temperature and duration of the treatment. The chemical procedure combined with heat treatment results in lower energy consumption as compared to the original heat treatment methods.
Development of fortified bakery products based on kokoro, a traditional Nigerian snack
Authors: Fadairo O. , Diósi G. , Mironescu I. , Máthé E. 
Published: January 2019

Abstract
Variants of kokoro snack samples were produced by fortification of maize flour-Fibersol 2-whey protein blends at 1% each with functional ingredients (ginger, fenugreek, turmeric, spirulina, red paprika) and a final blend containing all the functional ingredients at 1% level each. The resultant kokoro snack samples produced were evaluated for proximate composition and sensory qualities. The results of proximate analysis showed a significant (P < 0.05) difference in moisture, protein, ash content, crude fat, crude fibre, carbohydrate content, and energy values in all the blends of the kokoro snack sample and ranged from 51.20% to 36.80%, from 4.46% to 3.85%, from 1.15% to 0.98%, from 0.13% to 0.00%, from 4.93% to 3.94%, from 53.57% to 39.2, and from 232.30 kcal/100 g to 172.99 kcal/100 g respectively. There was also a significant (P < 0.05) difference in the sensory attributes of all kokoro samples in terms of appearance, aroma, taste, texture, and overall acceptability. The kokoro snack blend R 97:1:1:1 (Maize: Fibersol 2: Whey protein: Red paprika) was most preferred by the panellists, having the highest mean sensory score of 8.97. The results of the evaluation of the kokoro snack samples showed that an acceptable fortified bakery product based on kokoro can be produced by the addition of maize flour-Fibersol 2-whey protein blends to red paprika and ginger at 1% level of fortification. This will further encourage the cultivation and utilization of these spices in food formulation and hence provide health-promoting benefits to target consumers.
Research and development for Industry 4.0 – the position of the Czech Republic in cognitive computing and robotics
Authors: Kučera Zdeněk , Vondrák Tomáš 
Published: January 2019

Abstract
We have examined the recent development of the knowledge base in the fields of cognitive computing and robotics. The proxies for the evaluation of the R&D in these fields are the publication activity and the patents production spanning the years 1998 to 2016. A comparison with selected EU countries, USA, China, Japan and South Korea is presented. The publication activities grow much faster than the overall volume of world publications. In the number of publications per year in the field of cognitive computing China surpassed in 2004 USA and trails the EU-28 since. The robotics seems less in the focus of China’s R&D as the Chinese publications output just reached the USA level in the last two years of the examined interval. A common feature of the Asian countries is a significantly below the world average citation impact of the publications in both fields. The number of patent applications in cognitive computing and robotics has been growing in recent years. The patent activity in the China is growing very fast, the EU and USA are gradually losing their position and China dominated in the patent activity in cognitive computing and robotics in 2015.
The Czech Republic exhibits a significantly above the EU average dynamics of the publication activity in both R&D fields. Though the robotics publications occupy a smaller fraction of the total national publications output, their citation impact at the roughly 150 percent level of the world average is on par with the publication output of EU-15 countries. The number of patent applications in cognitive computing and robotics with Czech invertors has been growing fast and their share in the total number of patent applications with Czech inventors is above the EU average. However, these applications are very often owned by foreign companies, in particular from the USA. Our study indicates that the Czech Republic has, in the world context, a robust and dynamic R&D capable to address the challenges associated with the implementation of Industry 4.0 and advanced information processing.
Efficiency of regional innovation policy tools: Support to research-industry cooperation through the JIC Voucher programme
Authors: Kostić Miroslav 
Published: January 2019

Abstract
Support to research-industry cooperation belongs to main priorities of the Regional Innovation Strategy of South Moravia, also considering the shortcomings identified in cooperation and knowledge transfer between these sectors. Establishing links between companies and research institutions was aimed by the JIC Voucher (2009–2015) programme, the first programme of innovation vouchers in Czechia. Even though the support of new partnerships between companies and research institutions was the main goal of the programme, the number of supported partnerships of formerly cooperating entities was higher. A follow-up cooperation, usually on financially larger research projects, took place in more than one third of supported partnerships. Thus the programme positively affected a part of participating companies to spend higher amounts on R&D needed for co-financing of projects funded from national R&D programmes. The follow-up projects were more often realised by partners cooperating even before receiving the voucher. Also the non-approved projects of formerly cooperating partners were more often realised using other sources of funds than projects of those newly cooperating on an application for innovation voucher. Despite significant benefits of JIC Voucher to strengthening cooperation between companies and research institutions, the support to large companies – also enabled by the programme – can be viewed as inessential. This is obvious especially with respect to resources and experience with research cooperation usually held by these companies.
Partial Correctness of GCD Algorithm
Authors: Ivanov Ievgen , Korniłowicz Artur , Nikitchenko Mykola 
Published: January 2019

Summary
In this paper we present a formalization in the Mizar system [2, 1] of the correctness of the subtraction-based version of Euclid’s algorithm computing the greatest common divisor of natural numbers. The algorithm is written in terms of simple-named complex-valued nominative data [11, 4].
The validity of the algorithm is presented in terms of semantic Floyd-Hoare triples over such data [7]. Proofs of the correctness are based on an inference system for an extended Floyd-Hoare logic with partial pre- and post-conditions [8, 10, 5, 3].
Bee Bread Cells in Honey Super Distort The Results of Pollen Analysis of Honey
Authors: Teper Dariusz , Semkiw Piotr , Skubida Piotr , Borański Mikołaj 
Published: January 2019

Abstract
The pollen analysis is currently the only reliable test to determine honey variety, but the results are sometimes burdened with error. The main reason for this is additional pollen that got into honey in a way other than with nectar collected by bees but through the centrifugation of combs containing bee bread cells.
Studies were conducted in 2012 - 2013 on how different numbers of bee bread cells placed in the honey super influence lime honey pollen analysis. Bee bread pollen getting into honey during extraction in centrifugal-force honey extractors was proven to significantly influence the results of pollen analysis. In some extreme cases, it might skew the results so much that correct determination of honey variety by pollen analysis is no longer possible.
Balling Behavior of Workers Toward Honey Bee Queens Returning from Mating Flights
Authors: Gerula Dariusz , Panasiuk Beata , Bieńkowska Małgorzata , Węgrzynowicz Paweł 
Published: January 2019

Abstract
During natural mating honeybee queens can get lost due to drifting, predators or other cases. In this work, the balling of queens returning from flights by worker bees originating from the same colony was observed. Three subspecies of bees Carniolan, Caucasian and European Black Bee were tested. Research was conducted in both spring and summer, but in the former in newly created colonies, while in the latter in new and earlier used ones. Generally 15.2% of queens were balled and in total 30.2% of queens were lost during mating flights. 269 queens performed 785 mating flights, and 5.2% of those finished with balling. Three times more queens were balled when returning from mating flight rather than orientation flight. Subspecies matches or mismatches of queens and workers in nucleuses did not significantly affect the balling or its frequency. Additionally, no bee subspecies characterized stronger tendencies to ball a queen. Worker bees from newly created nucleuses treated queens similarly to the ones in nucleuses earlier used. However, significantly more queens had been balled during the spring in comparison to summer. There were days with higher balling of queens. During some days the weather was very unstable and unpredictable with such anomalies as heat waves, thunderstorms or sudden drops in insolation. Most of the queens were balled at the entrance while returning from flight and only a few inside the hive. In the research, clear causes of balling were not found, but some factors can be excluded.
Optimization of double layered beam shaping assembly using genetic algorithm
Authors: Bilalodin  , Kusminarto  , Suparta Gede Bayu , Hermanto Arief , Palupi Dwi Satya , Sardjono Yohannes 
Published: January 2019

Abstract
The genetic algorithm method is a new method used to obtain radiation beams that meet the IAEA requirements. This method is used in optimization of configurations and compositions of materials that compose double layered Beam Shaping Assembly (BSA). The double layered BSA is modeled as having two layers of material for each of the components, which are the moderator, reflector, collimator, and filter. Up to 21st generation, the optimization results in four (4) individuals having the capacity to generate the most optimum radiation beams. The best configuration, producing the most optimum radiation beams, is attained by using combinations of materials, that is by combining Al with either one of CaF2 and PbF2for moderator; combining Pb material with either Ni or Pb for reflector; combining Ni and either FeC or C for collimator, and FeC+LiF and Cd for fast and thermal neutron filter. The parameters of radiation resulted from the four configurations of double layer BSA adequately satisfy the standard of the IAEA.
Mechanism of Subsidies as an Element of State Support of Livestock Sector’s Development in Ukraine
Authors: Shyian Nataliia 
Published: January 2019

Abstract
The article presents results of the analysis of the cattle breeding industry’s development in Ukraine, the main trend of which was the decrease in the number of cattle, including the number of cows. A way to support livestock in the industry using the subsidy mechanism is suggested. This approach is aimed at increasing profitability of the cattle breeding industry output per 1 ha of fodder crops in the farm to profitability of barley production from 1 hectare in the area. The results of the proposed approach show that increasing milk profitability from 1 hectare of fodder crops to barley profitability from 1 hectare can be the basis for maintaining the livestock sector. The use of the livestock productivity factor (cow milk yield) in the proposed methodology makes farms more interested in increasing livestock productivity, which in turn increases the number of subsidies in the industry. In addition, an increase in fodder crops area in the farm has an ecological effect.
My Genome Belongs to Me: Controlling Third Party Computation on Genomic Data
Authors: Deuber Dominic , Egger Christoph , Fech Katharina , Malavolta Giulio , Schröder Dominique , Thyagarajan Sri Aravinda Krishnan , Battke Florian , Durand Claudia 
Published: January 2019

AbstractAn individual’s genetic information is possibly the most valuable personal information. While knowledge of a person’s DNA sequence can facilitate the diagnosis of several heritable diseases and allow personalized treatment, its exposure comes with significant threats to the patient’s privacy. Currently known solutions for privacy-respecting computation require the owner of the DNA to either be heavily involved in the execution of a cryptographic protocol or to completely outsource the access control to a third party. This motivates the demand for cryptographic protocols which enable computation over encrypted genomic data while keeping the owner of the genome in full control. We envision a scenario where data owners can exercise arbitrary and dynamic access policies, depending on the intended use of the analysis results and on the credentials of who is conducting the analysis. At the same time, data owners are not required to maintain a local copy of their entire genetic data and do not need to exhaust their computational resources in an expensive cryptographic protocol.In this work, we present METIS, a system that assists the computation over encrypted data stored in the cloud while leaving the decision on admissible computations to the data owner. It is based on garbled circuits and supports any polynomially-computable function. A critical feature of our system is that the data owner is free from computational overload and her communication complexity is independent of the size of the input data and only linear in the size of the circuit’s output. We demonstrate the practicality of our approach with an implementation and an evaluation of several functions over real datasets.
LOGAN: Membership Inference Attacks Against Generative Models
Authors: Hayes Jamie , Melis Luca , Danezis George , De Cristofaro Emiliano 
Published: January 2019

Abstract
Generative models estimate the underlying distribution of a dataset to generate realistic samples according to that distribution. In this paper, we present the first membership inference attacks against generative models: given a data point, the adversary determines whether or not it was used to train the model. Our attacks leverage Generative Adversarial Networks (GANs), which combine a discriminative and a generative model, to detect overfitting and recognize inputs that were part of training datasets, using the discriminator’s capacity to learn statistical differences in distributions. We present attacks based on both white-box and black-box access to the target model, against several state-of-the-art generative models, over datasets of complex representations of faces (LFW), objects (CIFAR-10), and medical images (Diabetic Retinopathy). We also discuss the sensitivity of the attacks to different training parameters, and their robustness against mitigation strategies, finding that defenses are either ineffective or lead to significantly worse performances of the generative models in terms of training stability and/or sample quality.
Choosing Epsilon for Privacy as a Service
Authors: Krehbiel Sara 
Published: January 2019

Abstract
In many real world scenarios, terms of service allow a producer of a service to collect data from its users. Producers value data but often only compensate users for their data indirectly with reduced prices for the service. This work considers how a producer (data analyst) may offer differential privacy as a premium service for its users (data subjects), where the degree of privacy offered may itself depend on the user data. Along the way, it strengthens prior negative results for privacy markets to the pay-for-privacy setting and develops a new notion of endogenous differential privacy. A positive result for endogenous privacy is given in the form of a class of mechanisms for privacy-as-a-service markets that 1) determine ɛ using the privacy and accuracy preferences of a heterogeneous body of data subjects and a single analyst, 2) collect and distribute payments for the chosen level of privacy, and 3) privately analyze the database. These mechanisms are endogenously differentially private with respect to data subjects’ privacy preferences as well as their private data, they directly elicit data subjects’ true preferences, and they determine a level of privacy that is efficient given all parties’ preferences.
Lethe: Conceal Content Deletion from Persistent Observers
Authors: Minaei Mohsen , Mondal Mainack , Loiseau Patrick , Gummadi Krishna , Kate Aniket 
Published: January 2019

Abstract
Most social platforms offer mechanisms allowing users to delete their posts, and a significant fraction of users exercise this right to be forgotten. However, ironically, users’ attempt to reduce attention to sensitive posts via deletion, in practice, attracts unwanted attention from stalkers specifically to those (deleted) posts. Thus, deletions may leave users more vulnerable to attacks on their privacy in general. Users hoping to make their posts forgotten face a “damned if I do, damned if I don’t” dilemma. Many are shifting towards ephemeral social platform like Snapchat, which will deprive us of important user-data archival. In the form of intermittent withdrawals, we present, Lethe, a novel solution to this problem of (really) forgetting the forgotten. If the next-generation social platforms are willing to give up the uninterrupted availability of non-deleted posts by a very small fraction, Lethe provides privacy to the deleted posts over long durations. In presence of Lethe, an adversarial observer becomes unsure if some posts are permanently deleted or just temporarily withdrawn by Lethe; at the same time, the adversarial observer is overwhelmed by a large number of falsely flagged undeleted posts. To demonstrate the feasibility and performance of Lethe, we analyze large-scale real data about users’ deletion over Twitter and thoroughly investigate how to choose time duration distributions for alternating between temporary withdrawals and resurrections of non-deleted posts. We find a favorable trade-off between privacy, availability and adversarial overhead in different settings for users exercising their right to delete. We show that, even against an ultimate adversary with an uninterrupted access to the entire platform, Lethe offers deletion privacy for up to 3 months from the time of deletion, while maintaining content availability as high as 95% and keeping the adversarial precision to 20%.
Private Evaluation of Decision Trees using Sublinear Cost
Authors: Tueno Anselme , Kerschbaum Florian , Katzenbeisser Stefan 
Published: January 2019

Abstract
Decision trees are widespread machine learning models used for data classification and have many applications in areas such as healthcare, remote diagnostics, spam filtering, etc. In this paper, we address the problem of privately evaluating a decision tree on private data. In this scenario, the server holds a private decision tree model and the client wants to classify its private attribute vector using the server’s private model. The goal is to obtain the classification while preserving the privacy of both – the decision tree and the client input. After the computation, only the classification result is revealed to the client, while nothing is revealed to the server. Many existing protocols require a constant number of rounds. However, some of these protocols perform as many comparisons as there are decision nodes in the entire tree and others transform the whole plaintext decision tree into an oblivious program, resulting in higher communication costs. The main idea of our novel solution is to represent the tree as an array. Then we execute only d – the depth of the tree – comparisons. Each comparison is performed using a small garbled circuit, which output secret-shares of the index of the next node. We get the inputs to the comparison by obliviously indexing the tree and the attribute vector. We implement oblivious array indexing using either garbled circuits, Oblivious Transfer or Oblivious RAM (ORAM). Using ORAM, this results in the first protocol with sub-linear cost in the size of the tree. We implemented and evaluated our solution using the different array indexing procedures mentioned above. As a result, we are not only able to provide the first protocol with sublinear cost for large trees, but also reduce the communication cost for the large real-world data set “Spambase” from 18 MB to 1[triangleright]2 MB and the computation time from 17 seconds to less than 1 second in a LAN setting, compared to the best related work.