Golden Eye Research Articles

Pornography, sexual privacy and copyright

This article proposes a new paradigm in the consideration of privacy in pornographic works in copyright enforcement actions. It focuses particularly on attempts to threaten individuals with copyright infringement action based on a speculative invoicing model. We approach this issue from the perspective of the right to sexual privacy of alleged infringers, which, as we argue, is particularly pertinent for pornographic works. The courts in England and Wales have broadly recognised the role of individual privacy and embarrassment caused to alleged infringers in the leading cases of Golden Eye and subsequently in Mircom, but the law remains unclear with no real recognition of, or meaningful mechanisms in place to address, the underlying issues. The article points out that this is due to a fundamental lack of appreciation of sexual privacy at a conceptual level in the context of consumption of pornography in the internet age, and consequent failure to consider this in copyright enforcement proceedings. We argue that the law should achieve a balance between the right holder's interest and the sexual privacy of alleged infringers, and copyright enforcement actions need to be approached with this in mind. This calls for a fundamental reconceptualisation of the right to privacy, and we call upon the courts to recognise and balance the sexual privacy rights of the alleged infringers of copyright in pornographic works with the interests of the right holders in certain copyright enforcement actions to achieve fair and equitable outcomes.

Horses, gender, and (queer) masculine desire, or how experimental found footage film recycles three Hollywood films

Abstract Although the experimental found footage film recycles Hollywood films so that the outcome may radically differ from the original story, there are no accounts on how it adapts images from mainstream cinema to represent human–animal relations, linking to gender and masculinity. To fill this gap, I discuss how experimental film Horsey recycles footage from three Hollywood productions—Reflections in a Golden Eye, The Swimmer, and The Black Stallion—to construct a new narrative, which displays a very close conformity to the prior text, shifting the focus to human–horse interactions. Raising questions about the traditional understanding, scope, and limits of adaptation in avant-garde film studies, Horsey fits in with the broader tradition of cinematic recycling of mainstream cinema as it exemplifies intertextuality as a direct form of quotation, taking quotation as appropriation through cuts, detournement, compilation and free association. Particularly, following Guy Barefoot’s understanding of adaptation as an intertextual form of recycling, Horsey is distinctive in its sole use of found footage from the three Hollywood films as it fully acknowledges the recycled material, strongly alluding to the original stories, and simultaneously re-processes them through a collage of pre-used footage, slow motion, washed-out colours, and an altered soundtrack. Despite appearing to merely extract images and sounds from Reflections, The Swimmer, and The Black Stallion, Horsey emerges as a productive site for recycling Hollywood cinema, placing it into new contexts and audio-visual configurations and offering more complex, engaging ways of looking at how humans connect to horses.

A Golden Eye in the Sky

Abstract The James Webb Telescope is NASA’s largest and most complex orbiting observatory to date. Ten years in the making at a price tag of nearly $10 billion, Webb was designed to not only go where no other telescopes have gone before, but also see things no other telescopes have been able to see. This is the story of the engineering underpinning this new space telescope.

Phagocytose du cristallin : de l’or dans le regard

Phagocytose du cristallin : de l’or dans le regard

An efficient feature selection and classification approach for an intrusion detection system using Optimal Neural Network

Network flaws are used by hackers to get access to private systems and data. This data and system access may be extremely destructive with losses. Therefore, this network intrusions detection is utmost significance. While investigating every feature set in the network, deep learning-based algorithms require certain inputs. That’s why, an Adaptive Artificial Neural Network Optimized with Oppositional Crow Search Algorithm is proposed for network intrusions detection (IDS-AANN-OCSA). The proposed method includes several phases, including feature selection, preprocessing, data acquisition, and classification. Here, the datas are gathered via CICIDS 2017 dataset. The datas are fed to pre-processing. During pre-processing, redundancy eradication and missing value replacement is carried out with the help of random forest along Local least squares for removing uncertainties. The pre-processed datas are fed to feature selection to select better features. The feature selection is accomplished under hybrid genetic algorithm together with particle swarm optimization technique (GPSO). The selected features are fed to adaptive artificial neural network (AANN) for categorization which categorizes the data as BENIGN, DOS Hulk, PortScan, DDoS, DoS Golden Eye. Finally, the hyper parameter of adaptive artificial neural network is tuned with Oppositional Crow Search Algorithm (OCSA) helps to gain better classification of network intrusions. The proposed approach is activated in Python, and its efficiency is evaluated with certain performance metrics, like accuracy, recall, specificity, precision, F score, sensitivity. The performance of proposed approach achieves better accuracy 99.75%, 97.85%, 95.13%, 98.79, better sensitivity 96.34%, 91.23%, 89.12%, 87.25%, compared with existing methods, like One-Dimensional Convolutional Neural Network Based Deep Learning for Network Intrusion Detection (IDS-CNN-GPSO), An innovative network intrusion detection scheme (IDS-CNN-LSTM) and Application of deep learning to real-time Web intrusion detection (IDS-CNN-ML-AIDS) methods respectively.

Phenotypic polymorphism of African bony tongue fish Heterotis niloticus (Cuvier, 1829) in Cameroon rainforest region

The study on the phenotypic polymorphism of Heterotis niloticus was undertaken from February to May 2020 in the rain forest region of Cameroon. The main objective was to contribute to a better understanding of the genetic diversity of this adapted species for adequate breeding and preservation strategies. More specifically, the investigation aimed at evaluating the variability of phenotypic, morphometric and meristic features according to the study sites. Further, it was also in order to analyse the phenotypic variability, the structure, as well as the phylogenetic relationships among the Heterotis niloticus subpopulations. A total of 125 adult individuals were collected in three localities and characterized. Two (2) phaneroptic traits were observed, while 16 morphometric traits were measured and 5 meristic characters were counted. The results showed that there is a colour variability of eyes and body in Heterotis niloticus from the study area with a predominance of golden eyes (97.60%) and grey body (96.80%). The number of scales on the lateral line was higher in the individuals collected in Mbalmayo (38.67±1.46) than those in Ayos (37.70±0.95). Discriminant factor analyses and phylogenetic analyses revealed that the overall population studied is made up of 3 morphotypes cohabiting in the three localities; thus it was possible to establish the phylogenetic relationships that exist between them. Morphotypes 1 and 2 are closer while morphotypes 2 and 3 are far apart, showing a tendency of splitting genetic make up. The recorded diversity suggests that Heterotis niloticus from the study area constitutes a natural genetic resource having the interesting variability for further improvement and sustainable management.

Effective and Efficient DDoS Attack Detection Using Deep Learning Algorithm, Multi-Layer Perceptron

Distributed denial of service (DDoS) attacks pose an increasing threat to businesses and government agencies. They harm internet businesses, limit access to information and services, and damage corporate brands. Attackers use application layer DDoS attacks that are not easily detectable because of impersonating authentic users. In this study, we address novel application layer DDoS attacks by analyzing the characteristics of incoming packets, including the size of HTTP frame packets, the number of Internet Protocol (IP) addresses sent, constant mappings of ports, and the number of IP addresses using proxy IP. We analyzed client behavior in public attacks using standard datasets, the CTU-13 dataset, real weblogs (dataset) from our organization, and experimentally created datasets from DDoS attack tools: Slow Lairs, Hulk, Golden Eyes, and Xerex. A multilayer perceptron (MLP), a deep learning algorithm, is used to evaluate the effectiveness of metrics-based attack detection. Simulation results show that the proposed MLP classification algorithm has an efficiency of 98.99% in detecting DDoS attacks. The performance of our proposed technique provided the lowest value of false positives of 2.11% compared to conventional classifiers, i.e., Naïve Bayes, Decision Stump, Logistic Model Tree, Naïve Bayes Updateable, Naïve Bayes Multinomial Text, AdaBoostM1, Attribute Selected Classifier, Iterative Classifier, and OneR.

Golden Eye

File systems are important sources of intelligence information and digital evidence. They have long attracted the interest of researchers in recovering files that are deleted from a hard disk. Existing file recovery studies rely heavily on an operating system (OS). However, it is often encountered that OS services are not available, making existing file recovery approaches unusable. To address this issue, the authors design and implement an OS-independent file recovery algorithm named Golden Eye (GE) by targeting the EXT4 file system. Fed the raw image obtained from a (sanitized) hard disk, GE can automatically recover any designated file or even the whole EXT4 file system. GE is based on the understanding of the file disk layout of EXT4 and does not need any support from additional hardware or software. Experimental results prove the feasibility and correctness of GE. This work not only solves the OS dependency problem that most existing file recovery work suffers from but also reveals the fact that even sanitized hard disks are still at risk of leaking sensitive data.

Golden eye

A new space telescope makes a spectacular debut after a troubled gestation.

Decommissioning Plans for Fixed Offshore Platforms: A Brief Revision

Brazil began to explore its seas in the 60’s of the XX Century looking for petroleum. This journey began in the Northeast and the first oil field produced offshore was the Guaricema Field, in the State of Sergipe. During the 70’s, Petrobrás found oil in the Campos Basin, between the States of Espírito Santo and Rio de Janeiro, that became the most important oil province in Brazil until the discovery of the Pre-Salt province, in the Santos Basin. As these fields are producing for a long time, many of them are already completely depleted or their production is in way of to be not commercial anymore, and their facilities need to be decommissioned. This review of decommissioning practices of fixed offshore platforms carried out worldwide has focus on the removal of topside with special vessels designed for this purpose or with conventional methods (crane vessels + barge). It will show the benefits of using specialised heavy lift vessels to remove the topsides and move it to shore for dismantling / recycling / reuse / disposal. The cases for study were the successful decommissioning projects in the North Sea: Brent B/D, Valhall QP, Viking, Curlew, Eider A, Golden Eye and Leman, Iwaki-Oki, Halfweg Q1, Yme and Ninian North.

Evaluation of Food Quality of Released Barley Varieties Grown in Oromia, Ethiopia

This study was conducted to characterize and evaluate food quality of released food barley varieties through physical, chemical and sensory evaluation. Fifteen released food barley varieties were collected from different research centers. Physicochemical qualities of these varieties were analyzed with three replications. Sensory evaluation was also performed by using hedonic scale method. Hectoliter weight, thousand kernel weight, moisture, protein, sodium, potassium, iron, zinc, calcium and magnesium contents were determined in the range of 55.57 – 66.67 grams, 33.50 – 58.50 grams, 7.46 – 11.43%, 9.44 – 16.80%, 79.23 – 316.54 ppm, 3993 – 6040 ppm, 11.49 – 64.32 ppm, 31.07 – 55.73 ppm, 305.42 – 716.91 ppm and 811.50 – 1731.10 ppm respectively. Overall acceptability of porridge prepared from barley varieties were disliked slightly to liked moderately while liked slightly to liked moderately for Injera. There were significant (P<0.05) variation in physical, chemical and organoleptic properties due to test barley varieties variation. Aruso variety was the highest in mean value of thousand kernel weight and hectoliter weight. Walker variety had the highest protein mean score. The study revealed that Robera, Abdane, Bentu, Harbu, Golden Eye and Walker varieties had the highest value of calcium, magnesium, potassium, sodium, iron and zinc respectively. Walker variety porridge was disliked slightly and Bentu variety was mostly liked moderately but not significantly different among Aquila, Gobe, HB 1966 and Robera varieties. Abdane variety injera was liked slightly and Biftu variety was mostly liked moderately but not significantly different among nine barley varieties. Therefore Aruso, Biftu, Bentu and Robera varieties were preferred for physical, chemical and sensory quality attributes.

고대 중국의 겨울 생활상 : 축제, 별자리, 신화 : 동아시아 전통 문화의 본질에 대한 성찰

This paper is intended to reflect on the essence of Confucianism by inquiring into hibernal rites and festivals of ancient China. Although this study limits itself to winter rituals, since these rituals were meant to harmonize the natural order of Heaven, earth, and man, they show us the essence of Confucian ritual culture, which emphasized conduct that is attuned to time and place. In ancient China, the winter began when the Son of Heaven went to the north of the capital and held a ceremony to welcome winter in the first week of the first winter month, thus spreading the hibernal air across the world. The various offerings and festivals that took place during the rest of winter were rituals of gratitude to all beings in the universe, people and their ancestors, for their efforts toward agriculture. At the same time, these were rites of regeneration in which people and ancestors alike were sent back to their homes to recuperate and thus prepare for the next year. Through the rite of the winter solstice and purification, the Son of Heaven awakened the life force that was enveloped by darkness. At the end of winter, an exorcist (Fangxiangshi 方相氏) wearing an inside-out bearskin on which four golden eyes were painted went around the houses dancing a bear dance to expel the cold energy and prepare for spring.

Примењена музика Зорана Ерића за Михизову драму Бановић Страхиња у режији Никите Миливојевића

This article deals with Zoran Eric’s incidental music for the theatre play Banovic Strahinja directed by Nikita Milivojevic and based on the eponymous drama by Borislav Mihajlovic Mihiz. The drama is Mihiz’s unique (and considered by many the most successful) interpretation of the myth of the hero Banovic Strahinja. Nikita Milivojevic’s staging, on the other hand, is a contemporary interpretation of Mihiz’s dramatic text, and it contains the key for understanding contemporary themes. Milivojevic stages a play that is focused on the character of the Woman, presenting her and highlighting her presence as a force that affects not only her fate, but also her relationship to other characters, thus affecting their fate as well. Zoran Eric’s music outlines these relationships, provides the spectator/listener of the play with a musical layer of interpretation, and communicates the idea of the play to the audience, thereby engaging in dialogue with both the writer and the director.In this article I analyze both the dramatic text and the theatre play, whose key points and concepts are presented with the intention to fully grasp the role given to the music. The director’s interventions on the dramatic text conditioned the musical aspect of the theatre play. Both original (Бановић and Koltze) and archival numbers (Brother John, Fur Elise, Golden Eye, Taruka, Querer) are analyzed and discussed in order to define their functionality in the play. The focus is on the composer’s original numbers (whose fragments found their way off the theatre stage and onto the concert stage in the piece Six Scenes-Comments) in order to highlight their significance and place in the theatre play, which was important for creating the ambience for their little stories within the big story of the century.

Modelling start-up injection of CO2 into highly-depleted gas fields

The development and verification of a homogeneous relaxation model for simulating the highly transient flow phenomena taking place during the start-up injection of CO2 into deep highly depleted gas fields is presented. The constituent mass, momentum, and energy conservation equations, incorporating a relaxation time to account for non-equilibrium effects, are solved numerically for single and two-phase flows along the steel lined injection well leading to the storage reservoir. Wall friction, gravitational field effects and heat transfer between the expanding fluid and the outer well layers are taken into account as source terms in the conservation equations. At the well inlet, the opening of the upstream flow regulator valve is modelled as an isenthalpic expansion process; whilst at the well outlet, a formation-specific pressure-mass flow rate correlation is adopted to characterise the storage site injectivity. The testing of the model is based on its application to CO2 injection into the depleted Golden Eye Reservoir in the North Sea for which the required design and operational data are publically available. Three injection scenarios involving a rapid, medium and slow linear ramping up of the injected CO2 flow rate to the peak nominal value of 33.5 kg/s are simulated. In each case, the predicted pressure and temperature transients at the top and bottom of the well are employed to ascertain the risks of well-bore thermal shocking, and interstitial ice or CO2 hydrate formation leading to its blockage due to the rapid expansion cooling of the CO2. The results demonstrate the efficacy of the proposed model as a tool for the development of optimal injection strategies and best-practice guidelines for the minimisation of the risks associated with the start-up injection of CO2 into depleted gas fields.

An Autosomal Recessive Eye Colour Mutant of Melon Fruit Fly, Bactrocera cucurbitae (Coquillett)

Bactrocera cucurbitae is commonly known as melon fruit fly. It is a serious pest of several vegetable and fruit plants grown all across the world. The morphological features and damaging nature of this pest species have been well documented. However, the genetics of its any mutation that results into phenotypic variation has not been mentioned at all. While working on this fly, we found a golden brown eye mutant that showed eye colour variation from the wild type flies (bluish green eye coloured). By setting different crosses to get F1 and F2 flies, this has been ascertained that the eye colour mutation is autosomal recessive in nature. The preliminary results of some of the experiments involving mutants clearly depict the pleiotropic effect of this mutant gene.

Screening of In Vitro Health Benefits of Tangerine Tomatoes.

Tomatoes have been associated with various health benefits, including the prevention of chronic diseases. The cis-isomers of lycopene occurring in tangerine tomatoes were, through clinical trials, proven to be more bioavailable than the all-trans lycopene found in red tomatoes. Nonetheless, scientific evidence regarding the bioactivities of the tangerine tomatoes is lacking. In this article, the antioxidant, anticancer, and anti-inflammatory properties of extracts prepared from four different tomato varieties, namely Alfred, Olga’s Round Golden Chicken Egg, Golden Green, and Golden Eye, were investigated. While the antioxidant capacities of the extracts were measured through the ferric reducing antioxidant power (FRAP) and 2,2’-azino-bis(3-ethylbenzothiazoline-6-sulphonic acid) (ABTS) assays, their anti-proliferative properties in prostate cancer cell lines were examined through the Sulforhodamine-B (SRB) assay. The anti-inflammatory activities of the extracts were assessed through the toll-like receptor (TLR)2, TLR4, and nucleotide-binding oligomerization domain containing protein 2 (NOD2)-mediated inflammatory pathways. Our results show that the tangerine tomatoes had lower IC50 values in both the anticancer and anti-inflammatory assays compared to the red tomatoes. Specifically, the half-maximal inhibitory concentration (IC50) values of the tangerine tomatoes in LNCaP cells were approximately two to three fold lower than the red tomato (IC50: 14.46, 5.62, and 8.08 mg dry tomato equivalent/mL from Alfred hexane-acetone, Olga’s Round Golden Chicken Egg hexane, and Golden Green hexane, respectively). These findings indicate that the tangerine varieties, Olga’s Round Golden Chicken Egg and Golden Green, possess greater potential to be used in conjunction with treatment and for the prevention of cancer and inflammatory-related diseases than the Alfred (red) and Golden Eye (high beta-carotene) varieties.

Hyperparameter optimization in black-box image processing using differentiable proxies

Nearly every commodity imaging system we directly interact with, or indirectly rely on, leverages power efficient, application-adjustable black-box hardware image signal processing (ISPs) units, running either in dedicated hardware blocks, or as proprietary software modules on programmable hardware. The configuration parameters of these black-box ISPs often have complex interactions with the output image, and must be adjusted prior to deployment according to application-specific quality and performance metrics. Today, this search is commonly performed manually by "golden eye" experts or algorithm developers leveraging domain expertise. We present a fully automatic system to optimize the parameters of black-box hardware and software image processing pipelines according to any arbitrary (i.e., application-specific) metric. We leverage a differentiable mapping between the configuration space and evaluation metrics, parameterized by a convolutional neural network that we train in an end-to-end fashion with imaging hardware in-the-loop. Unlike prior art, our differentiable proxies allow for high-dimension parameter search with stochastic first-order optimizers, without explicitly modeling any lower-level image processing transformations. As such, we can efficiently optimize black-box image processing pipelines for a variety of imaging applications, reducing application-specific configuration times from months to hours. Our optimization method is fully automatic, even with black-box hardware in the loop. We validate our method on experimental data for real-time display applications, object detection, and extreme low-light imaging. The proposed approach outperforms manual search qualitatively and quantitatively for all domain-specific applications tested. When applied to traditional denoisers, we demonstrate that---just by changing hyperparameters---traditional algorithms can outperform recent deep learning methods by a substantial margin on recent benchmarks.

Mapping seafloor massive sulfides with the Golden Eye frequency-domain EM profiler

Since the early discovery of a black-smoker complex in 1978 on the East Pacific Rise at 21°N, speculations and expectations have been driven about the potential and perspectives of mining seafloor massive sulfide (SMS) deposits in the deep-ocean. With a worldwide accelerating industrialization, emerging markets, increased commodity prices and metal demand, and advance¬ments in deep-water mining and extraction technologies, mining of SMS may become economically feasible in the near future (Kowalczyk, 2008). However, we still know little about the resource potential of SMS deposits, and the development of geophysical methods for an assessment of their spatial extent, composition, and inner structure is crucial to derive a proper assessment of their economic value. Novel geophysical mapping techniques and exploration strategies are required to locate extinct and buried clusters of SMS deposits, away from the active vent fields and of larger economic potential, but are difficult to find and sample by conventional methods. In 2015 the International Seabed Authority (ISA) assigned an exploration license for polymetallic sulfide deposits to the German Federal Institute for Geosciences and Natural Resources (BGR) in a specified area comprising 100 patches, each 10 . 10 km in size, distributed along the Central and Southeastern Indian Ridge. The challenge to acquire high resolution near-surface electromagnetic (EM) data in such geologically and morphologically complex mid-ocean ridge environments has been addressed by our recent development of the deep-sea profiler Golden Eye that utilizes a frequency-domain electromagnetic (FDEM) central loop sensor, of 3.3 m diameter (Muller et al., 2016). This system has been used in 2015 and 2017 to map active and relict hydrothermal vent fields in the SMS licensing areas. Aside from technological developments, this paper discusses new data processing routines and methods to unravel the conductivity-depth-distribution, induced polarization and magnetic susceptibility, and joint interpretation with geochem¬istry as key elements to map and evaluate SMS deposits.

Golden eye in the sky

Golden eye in the sky

Arrow’s Impossibility Theorem inspired subjective image quality assessment approach

A large number of subjective image quality assessment databases have been constructed in the last decade, in which the Mean Opinion Score (MOS) (with single or double stimulus), and Paired Comparison (PC) are two dominant approaches for collecting the ground truth quality ratings and usually up to 15 or more subjects are needed for each image. In this paper, we show the fact that there is a potential “dictatorship” risk of using such averaging-over-multiple-rating type of method. Using Arrow’s Impossibility Theorem (AIT), we prove that meeting of the unanimity and independence of irrelevant alternatives (IIA) will generate a “pivotal subject”, who in fact determines the final rank of image quality. We also prove that no an ideal democratic approach to synthesize the whole opinions of subjects. Therefore, we advocate to recruit a small number of experts (a.k.a the “golden eyes”) for subjective viewing tests. In order to verify the reliability of our proposal, experiments on two different databases conducting on the general distorted images and professional images (here is Terahertz security image) are performed. In each experiment, the raw scores of images are subjectively assigned by at least 15 inexperienced viewers and 3 experts, and meanwhile the MOS or difference mean opinion score (DMOS) are obtained. Afterwards, the correlation of the scores rated by naive subjects and experts is analyzed. For general image experiment, it is revealed that DMOS of inexperience viewers are highly related to DMOS of experts based on six effective evaluation metrics. In professional image experiment, the preferences of experts also maintain favourable relevance with the opinions of inexperienced viewers in overall quality of THz image. Moreover, considering the quality assessments of illegal substance regions in THz images, the experts have higher accuracy than the inexperienced observers. In conclusion, the results of two validation experiments verify that a small number of experts are more suitable for assessing the perceptual quality of images, which can reduce cost and simplify procedure of creating databases.