bluuebunny/crossref_metadata_2025 huggingface dataset:
A new subspecies of Dusky Antechinus, Antechinus swainsonii (Marsupialia: Dasyuridae) from western Victoria.
Authors: Davison A.
Published: September 2021

Antechinus swainsonii insulanus subsp. nov. is described from specimens collected in the Grampians National Park in western Victoria. This subspecies, specimens of which were previously referred to as A. swainsonii mimetes, differs most notably from A. s. swainsonii and A. s. mimetes by its widely flared zygomatic arches, by its broader rostrum, by lacking an entoconid on the second lower molar and by having a sharply raised hypocristid on the fourth lower molar. Antechinus s. insulanus further differs significantly from other southern specimens of A. swainsonii in ten out of fifteen cranial and dental measurements used.
The relationship between echidna (Monotremata: Tachyglossidae) and platypus (Monotremata: Ornithorhynchidae) - new data from DNA studies.
Authors: Westerman M. , Edwards D.
Published: September 2021

DNA-DNA hybridizations have been used to assess the relationship between two living monotremes, Ornithorhynchus anatinus and Tachyglossus aculeatus. Differences between the unique DNA sequences of these two animals are consistent with a divergence date in the late Cretaceous - early Tertiary period.
Distribution of Stripe-faced Dunnarts Sminthopsis macroura and Desert Dunnarts S. youngsoni (Marsupialia: Dasyuridae) in the Northern Territory.
Authors: Cole J.R. , Gibson D.F.
Published: September 2021

NA
A non-destructive small scale biopsy method for obtaining repetitive tissue samples from skin glands in a marsupial.
Authors: Bradley A.J. , Stoddart D.M.
Published: September 2021

NA
Diet of the Brushtail Possum Trichosurus vulpecula (Marsupialia: Phalangeridae) in central Australia.
Authors: Evans M.C.
Published: September 2021

The diet of the Common Brushtail Possum, Trichosurus vulpecula, in central Australia was investigated by faecal analysis. Trichosaurus vulpecula ate 34 plant species from the herb, shrub and tree strata. Dicotyledonous species comprised 99 % of epidermis in faecal pellets. Preferred species were Amyema maidenii (a mistletoe), Acacia coriacea, A. estrophiolata, Rhagodia spinescens and Solanum centrale. Grass or eucalypts were rarely eaten. Plant reproductive parts (flowers, buds, seed and fruit) contributed 39 % of epidermis in faecal pellets. Many of the species eaten by T. vulpecula are also browsed by cattle, and this may have contributed to the decline of T. vulpecula in central Australia.
Breeding, growth and development of captive Potorous longipes (Marsupialia: Potoroidae); and a comparison with P. tridactylus.
Authors: Seebeck J.H.
Published: September 2021

A captive colony of Potorous longipes (one male, ti)ree females) was established at the Sir Colin MacKenzie Sanctuary, Healesville, Victoria, in March 1980, with wild-caught animals from east Gippsland. By December 1986, 14 young (ten males, four females) had been born to this colony, all between June and December. Growth and development of the first three young were monitored approximately weekly, and these parameters are described and compared with those in P. tridactylus. Development is similar to that in P. tridactylus up to 13 - 14 weeks, beyond which hindfoot length exceeds head length and the tail becomes proportionally longer compared with P. tridactylus. Growth curves for several parameters are presented. Pouch life is between 140 and 150 days. Adult size (but not weight) is reached at about 36 weeks. However, P. longipes may not be sexually mature until two years of age or older.
A comparison of the faecal microflora in wild and laboratory-held Feathertail Gliders, Acrobates pygmaeus (Marsupialia: Acrobatidae).
Authors: Salminen S. , Pridmore P.A. , Adnams E. , Ahokas J.T.
Published: September 2021

The major components of the faecal micron ora of Feathertail Gliders (Acrobates pygmaeus) were determined for free-living animals inhabiting eucalypt forest in the Dandenong Ranges region of Victoria and for animals obtained from the same area but kept on an artificial diet in laboratory facilities. Acrobates pygmaeus in the laboratory were fed an homogenate consisting of baby food supplemented with vitamins and honey. The wild A. pygmaeus had access to the normal dietary items available in late winter in this part of their natural range. Faecal samples obtained from both groups of animals were analysed using standard procedures to assess the numbers of total aerobes and anaerobes, yeasts, and aerobic and anaerobic streptococci. The A. pygmaeus fed artificially had a denser faecal microflora than the free-living A. pygmaeus. Each gram of faeces from the artificially fed animals contained about 108-109 colony forming units (cfu) of total anaerobes,108-109 cfu of aerobes and 105-106 cfu of yeasts. Corresponding numbers for the free-living animals were 103-105, 105-107 and 103-105. The two groups differed in the relative proportions of gram-positive bacilli and cocci in their faecal samples. The availability of food appears to innuence the faecal micronora of free-living A.
pygmaeus.
A specialised thylacinid , Thylacinus macknessi, (Marsupialia: Thylacinidae) from Miocene deposits of Riversleigh, northwestern Queensland.
Authors: J .
Published: September 2021

Thylacinus macknessi is described from Miocene sediments of Riversleigh, northwestern Queensland. Comparisons with other thylacinids and dasyurids reveal it to be a new species of Thylacinus. In most features it is as specialised as T. cynocephalus and it is not considered to be ancestral to any other taxon. The presence of such a specialised thylacine in the Riversleigh deposits argues for a pre-Late Oligocene divergence of this group from the Dasyuridae.
Results of radio tracking eastern barred bandicoots Perameles gunnii (Marsupialia: Peramelidae) at Gellibrand Hill Park, Victoria.
Authors: Murphy J.A. , Serena M.
Published: September 2021

NA
Field observations on the brush-tailed phascogale Phascogale tapoatafa (Marsupialia: Dasyuridae).
Authors: Traill B.J. , Coates T.D.
Published: September 2021

NA
Book Review: Andrew Kitchener, 1991. The Natural History Of The Wild Cats: A Review. Christopher Helm: London
Authors: Hornsby P.
Published: September 2021

NA
A new method for separate evaluation of PSII with inactive oxygen evolving complex and active D1 by the pulse-amplitude modulated chlorophyll fluorometry
Authors: Kono Masaru , Matsuzawa Sae , Noguchi Takaya , Miyata Kazunori , Oguchi Riichi , Terashima Ichiro
Published: September 2021

A method that separately quantifies the PSII with inactive oxygen-evolving complex (OEC) and active D1 retaining the primary quinone acceptor (QA)-reducing activity from the PSII with damaged D1 in the leaf was developed using PAM fluorometry. It is necessary to fully reduce QA to obtain Fm, the maximum fluorescence. However, QA in PSII with inactive OEC and active D1 would not be fully reduced by a saturating flash. We used the acceptor-side inhibitor DCMU to fully reduce QA. Leaves of cucumber (Cucumis sativus L.) were chilled at 4°C in dark or illuminated with UV-A to selectively inactivate OEC. After these treatments, Fv/Fm, the maximum quantum yield, in the leaves vacuum-infiltrated with DCMU were greater than those in water-infiltrated leaves. In contrast, when the leaves were illuminated by red light to photodamage D1, Fv/Fm did not differ between DCMU- and water-infiltrated leaves. These results indicate relevance of the present evaluation of the fraction of PSII with inactive OEC and active D1. Several examinations in the laboratory and glasshouse showed that PSII with inactive OEC and active D1 was only rarely observed. The present simple method would serve as a useful tool to clarify the details of the PSII photoinhibition.
Current Practices in Incorporating Culture into Forensic Mental Health Assessment: A Survey of Practitioners
Authors: Fanniff Amanda M. , York Taylor M. , Montena Alexandra L. , Bohnsack Kenzie
Published: September 2021

Forensic evaluators conduct assessments of individuals with a wide range of sociocultural identities. Although recommendations regarding how to incorporate cultural considerations in forensic evaluations have been published over the past decade, there is no clear consensus on best practices nor is it clear how evaluators interpret and apply the available recommendations. The current survey represents a replication and extension of a previous survey regarding self-reported culturally-informed practices among forensic evaluators. Subjects were forensic mental health professionals ( n = 258; 64.7% women, 69.4% PhD or PsyD) recruited through listservs and training events to complete a survey online or by hard copy. Evaluators reported significant challenges in conducting culturally-informed evaluations, including lack of appropriate tests for their examinees, lack of guidelines for their evaluations, lack of colleagues from diverse backgrounds, and lack of relevant research. Evaluators reported engaging in a wide range of culturally-informed practices across all domains, some being nearly universal (e.g., considered cultural context when forming diagnosis). In contrast, other practices were relatively uncommon (e.g., referred the evaluation to another professional with more knowledge/experience regarding examinees with particular identities). Results indicate a need for more research, more practice guidelines, and diversification of the forensic mental health workforce.
A fungal antigenic driver for Löfgren’s syndrome sarcoidosis
Authors: Lim Clarice X. , Weichhart Thomas
Published: September 2021

Löfgren’s syndrome is an acute form of sarcoidosis that is characterized by the activation of CD4+ T helper cells. In this issue of JEM, Greaves et al. (2021. J. Exp. Med.https://doi.org/10.1084/jem.20210785) identified a peptide derived from an airborne mold species that stimulates T cells of Löfgren’s syndrome patients in an HLA-DR3–restricted manner. An increased serum IgG antibody response to the full-length protein was also observed in those patients, indicating that the fungus Aspergillus nidulans might be the elusive microbial agent that drives acute sarcoidosis.
Bilateral comparison of 1 Ω and 10 kΩ standards (ongoing BIPM key comparisons BIPM.EM-K13.a and 13.b) between the NSAI-NML (Ireland) and the BIPM.
Authors: Rolland B , Stock M , Gournay P , Power O , Walsh R
Published: September 2021

Main text

This report gives the result of a bilateral comparison of resistance between the NSAI-NML (Ireland) and the BIPM carried out from November 2020 to March 2021. Two 1 Ω and two 10 kΩ travelling standards belonging to the BIPM were used. The comparison was carried out with an 'A-B-A' pattern of measurements; the standards were measured first at the BIPM for a period of about one month, then for a period of about one month at the NSAI-NML, and finally again at the BIPM. The measurand was the 4 terminal dc resistance at low power. The BIPM was the pilot laboratory, and the comparison forms part of the ongoing BIPM key comparisons BIPM.EM-K13.a (for 1 Ω) and BIPM.EM-K13b (for 10 kΩ).

The results from the NSAI-NML and the BIPM were found to be in good agreement, with a difference D smaller than the relative expanded uncertainty U
c (95% confidence, k = 2) giving D = - 0.081 × 10-6, U
c = 0.180 × 10-6 for 1 Ω and D = 0.069 × 10-6, U
c = 0.424 × 10-6 for 10 kΩ.

To reach the main text of this paper, click on Final Report. Note that this text is that which appears in Appendix B of the BIPM key comparison database https://www.bipm.org/kcdb/.

The final report has been peer-reviewed and approved for publication by the CCEM, according to the provisions of the CIPM Mutual Recognition Arrangement (CIPM MRA).
Exploration of co-sputtered Ta2O5–ZrO2 thin films for gravitational-wave detectors
Authors: Abernathy M , Amato A , Ananyeva A , Angelova S , Baloukas B , Bassiri R , Billingsley G , Birney R , Cagnoli G , Canepa M , Coulon M , Degallaix J , Di Michele A , Fazio M A , Fejer M M , Forest D , Gier C , Granata M , Gretarsson A M , Gretarsson E M , Gustafson E , Hough E J , Irving M , Lalande É , Lévesque C , Lussier A W , Markosyan A , Martin I W , Martinu L , Maynard B , Menoni C S , Michel C , Murray P G , Osthelder C , Penn S , Pinard L , Prasai K , Reid S , Robie R , Rowan S , Sassolas B , Schiettekatte F , Shink R , Tait S , Teillon J , Vajente G , Ward M , Yang L
Published: September 2021

We report on the development and extensive characterization of co-sputtered tantala–zirconia (Ta2O5-ZrO2) thin films, with the goal to decrease coating Brownian noise in present and future gravitational-wave detectors. We tested a variety of sputtering processes of different energies and deposition rates, and we considered the effect of different values of cation ratio η = Zr/(Zr + Ta) and of post-deposition heat treatment temperature T
a on the optical and mechanical properties of the films. Co-sputtered zirconia proved to be an efficient way to frustrate crystallization in tantala thin films, allowing for a substantial increase of the maximum annealing temperature and hence for a decrease of coating mechanical loss φ
c. The lowest average coating loss was observed for an ion-beam sputtered sample with η = 0.485 ± 0.004 annealed at 800 °C, yielding

φ

¯

c

=
1.8
×
1

0

−
4

rad. All coating samples showed cracks after annealing. Although in principle our measurements are sensitive to such defects, we found no evidence that our results were affected. The issue could be solved, at least for ion-beam sputtered coatings, by decreasing heating and cooling rates down to 7 °C h−1. While we observed as little optical absorption as in the coatings of current gravitational-wave interferometers (0.5 parts per million), further development will be needed to decrease light scattering and avoid the formation of defects upon annealing.
An augmented reality approach to learning about the force of gravity
Authors: Vidak Andrej , Movre Šapić Iva , Mešić Vanes
Published: September 2021

The experimental investigation of Newton’s law of universal gravitation requires expensive and sensitive equipment. Therefore, it is often not possible to conduct such an experiment within a typical physics class. An alternative is to investigate the universal gravitation law by using simulations. In this paper, we are presenting such an augmented reality simulation (GravityAR). The simulation has been developed for mobile devices and runs on an Android operating system, making it very accessible for students and teachers at all educational levels. It allows the user to investigate how the gravitational force between two spherical bodies depends on their masses and mutual distance. Additionally, the simulation can be used to determine the value of the gravitational constant (G).
Practical security of quantum key distribution in the presence of side channels
Authors: Sych D , Duplinskiy A , Babukhin D
Published: September 2021

Security of quantum key distribution (QKD) is based on fundamental laws of quantum physics. However, the security of QKD implementations is at risk due to various deviations, called side channels, of the real device from the theoretical model. In this work, we discuss the practical ways to avoid the threat of side channels in QKD. We use interference visibility measurement for estimation of distinguishability of quantum signals, and show how to integrate it into the security proof. Our results paves the way towards the development of novel robust QKD schemes.
Explicit attacks on passive side channels of the light source in the BB84 decoy state protocol
Authors: Babukhin D , Sych D
Published: September 2021

Various imperfections of the hardware in quantum key distribution (QKD) lead to discrepancies between the theory and real-world devices. An eavesdropper can use these discrepancies to compromise the QKD security, thus legitimate sides need to estimate the influence of imperfections to prevent the loss of security. Here we investigate explicit eavesdropping attacks on passive side channels of the light source for a BB84 decoy states QKD protocol. We consider an optimal phase-covariant cloning attack, followed by unambiguous state discrimination and a joint measurement. Our calculations provide a hint that for state-of-the-art light sources the inherent presence of passive side channels still allows the protocol to be secure, albeit with the reduced secret key rates.
Terahertz spectroscopy of lead-substituted barium hexaferrites Ba1-xPbxFe12O19
Authors: Lukianov M Y , Ahmed A G , Bush A A , Prokhorov A S , Anzin V B , Gorshunov B P , Alyabyeva L N
Published: September 2021

Using methods of terahertz time-domain spectroscopy dielectric response of ceramic barium hexaferrites substituted with lead (Ba1-xPbxFe12O19, x = 0.00-0.30) was studied in the frequency range of 3-110 cm1 and at temperatures from 5 to 300 K. Obtained spectra are presented by a rich set of lines of different nature, i.e. excitations associated with electronic transitions within the fine-structure components of Fe2+ ions, A2u soft optical phonon, and ferroelectric-like soft mode. The frequency of the soft mode reveals power-law temperature variation vSM ∼ (T-Tc)025
, which indicates a potential phase transition atrc. Analysis shows that Tc
approaches zero for the concentrations x = 0.20-0.25.
In situ reflection electron microscopy for investigation of surface processes on Bi2Se3(0001)
Authors: Ponomarev S A , Rogilo D I , Kurus N N , Basalaeva L S , Kokh K A , Milekhin A G , Sheglov D V , Latyshev A V
Published: September 2021

The sublimation and van der Waals (vdW) epitaxy on Bi2Se3(0001) surface have been first visualized using in situ reflection electron microscopy. When Bi2Se3(0001) surface was exposed to a Se molecular beam (up to 0.1 nm/s) and heated to ∼400°C, we observed ascending motion of atomic steps corresponding to congruent Bi2Se3 sublimation. During the sublimation, grooves made by probe lithography act as sources of atomic steps: groove depth increases and generates atomic steps that move in the ascending direction away from the source. We used this phenomenon to create self-organized regularly-spaced zigzag atomic steps having 1 nm height on the Bi2Se3(0001) surface. The deposition of Bi (up to ∼0.01 nm/s) onto the Bi2Se3(0001) surface at constant Se flux (up to ∼0.1 nm/s) reversed the direction of the step flow, and vdW epitaxy was observed. The deposition of In and Se onto the Bi2Se3(0001) surface at ∼400°C led to the epitaxial growth of layered In2Se3. This vdW heteroepitaxy started with 2D island nucleation and, after 3–5 nm growth, continued with a screw-dislocation-driven formation of 3D islands. Ex situ Raman scattering measurements have shown that the grown 20-nm-thick In2Se3 film exhibits vibrational modes that originate from the β-In2Se3 crystal phase.
Study of long-term changes in visible-light transmittance of porous alumina membranes
Authors: Muratova E N , Nalimova S S , Moshnikov V A
Published: September 2021

The paper presents a study of the optical properties of porous alumina membranes obtained by electrochemical anodizing in electrolytes based on sulfuric and orthophosphoric acids. The pore size was analyzed by SEM. The degradation of transmittance of membranes after one year and six years storage was studied. The change one year later in optical properties was explained by the adsorption of water molecules. Six years later, an increase in throughput is observed for all membranes. At present, there are no theoretical models that can explain obtained experimental results and additional studies in this area are necessary.
Model order reduction using logarithmic assembly technique and second cauer form for power system models
Authors: Singh Rahul , Singh Anurag , Singh Jay , Kumar Jitendra
Published: September 2021

Power system is broad, wide and complex area to do research therefore, for reducing complexity; there is an enormous possibility of simplification of large system in the field of science and technology. Hence, this paper presents a new vital advance methodology a mixed-demand reduction that uses logarithmic assembly technique and the second Cauer form to minimize the order of multivariate feed systems on a large scale power system. Model order reduction technique helps to reduce the large scale power system into an approximate small scale model without changing the inherent property of the actual system. A multi-boundary model of the low-order model is achieved by utilizing new methodology for the aggregation of the pound called the logarithmic mass of the poles, while the numeral coefficients are obtained in the second form of Cauer. The usefulness of the anticipated technique has been tested on two-area power system models.
FLC based speed control of Induction Motor
Authors: Singh Anurag , Dipraj  , Singh Dhananjay , Yadav Ambica
Published: September 2021

Speed control of induction motor is utilized for blowers, fans and many other applications. AC voltage regulators are used in induction motors to arrange the speed. This technique features the shrewd controllers such as the Fuzzy controller ac voltage controllers to produce the firing signals for thyristors concerning a given operating torque, speed of the motor, and the load. Fuzzy models have been intended to accomplish the proposed calculation. MATLAB/SIMULINK is utilized to reproduce the proposed strategies. The upside of such controller is its straightforwardness, security, and high precision contrasted with the regular numerical figuring of the firing signals which is a complex and tedious errand particularly in online control applications. The significant attribute of the FLC system is to improve robustness. The mathematical model of the drive framework is created utilizing the phase variable model. The created model is simulated using MATLAB/SIMULINK; since it provides a convenient tool to analyze the system precisely so the outcomes obtained are very satisfactory and promising.
The Lightweight Algorithm for Secure RFID Au-thentication System
Authors: Haribaabu V , James Jospeh , Samy Selvakumara , Singh Nilesh , Upadhyay Aparna
Published: September 2021

In the milieu of IOT, the entities in our habitual ex-istence have turned to be a component of the Inter-net due to their excelling communication and com-puting competencies that let them to correspond with another object. Progression in ICT i.e. Infor-mation and communication technologies, has es-corted to the surfacing of IoT. The application of IoT technologies fetches expediency to doctors and patients in Healthcare environment as they can be concerned to numerous fields of medicine. Radio-frequency Identification Devices (RFID) is the ma-jorly famous wireless communication technologies applied in the field of IoT as they could amass in-sightful data, used for wireless communication with another object, and locate and follow specific enti-ties without human interventions. In order to pro-vide enhanced security and performance to RFID authentication scheme Elliptic Curve Cryptography is being applied. An RFID has 3 entities: RFID tag, reader and server. Since the channel of communication amid the RFID tag and RFID reader is unsafe since the data exchange takes place wirelessly and adversary could snare the data easily. Thus to pro-tect RFID tag data we are using data perturbation which is a form of privacy safeguarding data mining for electronic health information’s. Inside this paper, we confer the requirements of security for RFID authentication schemes with a comparative study on RSA, and in precise, we put forward an appraisal of ECC-based RFID authentication methods on the basis of security and performance..
Analytical Study of Renewable Energy Technologies in Vaishali District of Bihar-Schemes, Barriers and Future Scope
Authors: Zahra Talat , Ahmad Zeeshan , Bajpai Shrish , Chandel Vishal Singh
Published: September 2021

Present paper deals in with the current status of the renewable energy in the city of Vaishali, Bihar, a state of India. Although India has adopted several renewable energy technologies but the majority of people residing in the country are unaware of this emerging environment friendly technology which is composed of large renewable energy based power plants but due to lack of awareness in people, its usage is very limited. There are several government sponsor schemes and subsidies provided by the government of India.
RETRACTED: Smart Grid: A Sustainable Smart Approach
Authors: Saxena Vivek , Kumar Narendra , Nangia Uma
Published: September 2021

In the modern power system, smart grid structure is getting admiration and edify a path of complete greener way of energy generation. This paper highlights each aspects of this framework to justify the energy demand in a sheltered, economical, trustworthy and environmental manner even the absence of storage structure at large level. It also facilitates the simultaneous objectives of demand monitoring and control with the amalgamation of renewable distributed generation having smart devices and storage system. A comprehensive review has been demonstrated with the smart operations unlike traditional power grid even the presence of some limitations for the establishment of advanced grid-based power network. The analysis presented in this paper is driven by the eventuality of relic fuel calamity, ecological contamination, diminution of electrical energy, enlargement necessity of power system, newness to emergent trends in proficient energy utilization and regularly increasing electricity bill. Objective of this presentation is to review and examine the different aspects of smart grid framework for the progression of generation companies and consumer with reference to its development and advancement report, techno-economical contests, conceivable benefits and future scope..
An Efficient Spam SMS Analysis Model based on Multinomial Naïve Bayes model Using Passive Aggressive Algorithm
Authors: Shobana J. , Kanchana D.
Published: September 2021

The social media can be a platform for information consumption nowadays. On the one hand, it’s free of cost, easy access, and different data dissemination lead people to hunt out and consume social media news. On the contrary, it allows for the broad spread of “spams,” i.e., inferiority news with deliberately false information. The widespread spread of spams has the potential for very negative impacts on people and society. Consequently, the detection of spam on social media has recently become an important research that draws tremendous attention. NLP, an artificial intelligence (AI) division, uses computers and human natural language to produce useful data. In text classification activities, such as spam detection and sentiment analysis, text generation, language translations and document classification, NLP is widely used.
Experiences of college teachers with visual disability us-ing AT and AI based solutions in India: Benefits, Issues, Challenges and Prospects
Authors: Sharma Princi
Published: September 2021

The study explores various issues related to usage of Assistive Technologies and Artificial Intelligence based solutions by college teachers with visual disabilities for teaching and academic purposes. Existing academic work indicate that these technologies have supported and transformed the lives of people with disabilities and particularly people with visual disabilities but also posed several challenges and limitations. This research examines real time issues encountered by the col-lege professors with visual disabilities using such technologies and suggest measures for implications for future development of such technologies. This study goes beyond describing, analyzing and theorizing the benefits and limita-tion of Assistive technologies and Artificial Intelligence based solutions for col-lege teachers with visual disabilities and attempt to address larger issues of acces-sibility, inclusiveness, consideration of local context for such technologies and aim to improve the agency of such users. For this purpose, a qualitative study has been undertaken to explore the experiences, concerns and suggestions regarding the research issue. I have used semi-structured interviews as tools to analyze the impact of these technologies. This study sits at the intersection of technological innovations and disability studies..
Development of Auto Photo Biomodular Therapy Robot
Authors: Umamaheswari S. , Ananth Vijay , Reddy Mallidi Manikandha , Rajan Mathew , Kumar Reshmi S , shaji Ruban
Published: September 2021

The Automatic photo bio-modular therapeutic robot is a device which radiates infrared light to the muscles with chronic pain, muscle spasms, joint pains etc. with the help of x-y robotic plotter. The robot uses the x-y robotic plotter for the motion of infrared bulb, thus offering the bulb an omnidirectional mobility. In contrast to traditional system of therapy, this device uses a robotic arm to perform the infrared therapy and minimize the human interaction and reducing the time. Also with the help of thermal camera we can pinpoint the pain area to the exact spot and sent the coordinate to the xy robotic arm. This project adopts a model-based approach for combining infrared therapy with automation. Various pilot experiments were performed during the proceedings to study the movement of the infrared bulb and some mechanical modifications were done to overcome the constrains of the xy robotic arm. The results of the model which was built and is compared with the real-time behaviour of the system and its significance is analysed. A control algorithm is built in a micro-controller and tested for optimal results. At the moment, this device is a new concepts. The advantage of this type of mobile robot is its Omni-directional capabilities and reduction of human interaction with the patient which could prove to be useful in hospitals which are trying to reduce the manual labour and time of interaction between the doctors and the patients. For instance, infrared light is a best mode of therapy because it penetrates to the inner layers of the skin at about 3-7 centimetres deep. Thus it can be applied to muscles, nerve points and bones for efficient treatment. Studies show that infrared light with wavelengths ranging from 700 to 1000 nanometres can be used to treat inflammatory conditions and muscle spasms.
Enrichment of Biogas by Microalgal Scrubbing System and Value added Products Synthesis
Authors: Sreelakshmi Kizhakke Puthvaridam , Sarma Shaswati , Choudhury Shivalika , Nirmal Louis Anto , Jacob Samuel
Published: September 2021

Biogas is composed of CH4 (50-60%) and CO2 (40-50%), therefore scrubbing (removal) of CO2 from biogas is imperative as high concentration of it reduces the calorific value and limits its end application. Problems associated with physiochemical process can be alleviated through microalgae as they are efficient in utilizing the CO2 as its carbon source that can be technically termed as CO2 sequestration. This study aims to apply the use of a microalgae CO2 capturing system using Chlorella sorokiniana and Scenedesmus obliquus that have higher photosynthetic capacity and sequestration of carbon dioxide subsequently and transforming into biomass. Chlorella sorokiniana had a total biomass yield of 1.59 g/L and 1.98 g/L for unpurged and purged respectively. Scenedesmus obliquus on the other had a better yield over Chlorella sorokiniana with an overall biomass of 1.7 g/L for unpurged and 2.4 g/l under mixotrophic condition. Upon analysis of lipid content in the biomass, the cultures that were grown under mixotrophic condition were found to yield 3.45 and 3.28 fold higher as compared to unpurged sample in Chlorella and Scenedesmus respectively. Under purged conditions, Chlorella sorokiniana had the maximum yield of 5.5 mg/g of vitamin E compared to Scenedesmus obliquus with a comparatively lower yield of 2.32 mg/g. Overall, the increase in the specific growth rate and doubling time indicated that a better adaptability and utilization of carbon source in the purged sample which was provided in the form of 50% citric acid and carbon dioxide. This provides evidence in support of Chlorella sorokiniana for having a higher potential in the area of nutraceuticals. Along with purifying the biogas produced from an anaerobic digester fed with food waste.
A novel approach of inspection methodology in fabrication industry post COVID-19
Authors: Yadav Manoj Kumar , Gambhava Darshan , Kumar Lalit , Singh Shailendra P
Published: September 2021

The virus SARS-COV2 also known as COVID-19 is a pandemic that affecting the entire world. During this tough time, all the industries, manufacturing units, and the related entities are either closed or partially open. During this pandemic, the fabrication industry is also got affected. During the lockdown, industry people are going through various internet platforms and technology to accomplish their work. The fabrication and welding inspection are also part of it. Conventionally it was done physically by inspectors. inspecting the weld. But, during this tough time, some new methodologies of inspection such as the use of the high-resolution camera, use of Industry 4.0, and smart glasses are suggested in this paper for various fabrication inspection activities without going to the site. The cost of the inspection also can be reduced by adopting these new approaches along with the demand for maintenance of social distancing needed during COVID-19.
Functionally Graded Material Coatings (FGMC) – A Review
Authors: Ranjan Prabhat , Kumar Rajesh , Walia R. S.
Published: September 2021

The coatings are substances that are applied over the surface of an object to prevent it from wear, tarnish and corrosion. Coatings maintain the properties of base metals (thermal, optical and electrical) over a long duration of time. The coatings are generally characterized by the properties like good adhesion, low porosity and substrate compatibility that include geometry and temperature. Coatings often suffer from problems like variable thermal expansion coefficient compared to their base metals. To overcome the variable thermal expansion issue, the functionally graded material (FGM) layers may be imposed. Present work aims to study the FGM coatings capable of enhancing the mechanical, thermal and tribological properties of base metals by providing scratch resistance. An attempt has been made to present a comprehensive review of high-velocity-oxy-fuel, plasma spray and other techniques adopted by industries and other groups. The effects of applying FGM coatings on the operating conditions and the performance of the base metals are also covered in detail.
New insights on temperature dependent electrical properties of samarium doped tin oxide thin films
Authors: Bakiya Lakshmi R. , Umamaheswari S. , Vimala Juliet A.
Published: September 2021

Samarium doped tin oxide (SmDTO) nano particles were synthesized and deposited in the form of thin film by RF sputtering and was characterized using XRD and SEM. XRD images revealed the crystalline nature of tin oxide and reduced peak intensities in doped samples. SEM micrographs showed fine granular nature of tin oxide, mostly spherical and well isolated grains and slight agglomerations in doped sample. The current – voltage behavior of samarium doped tin oxide thin film was investigated using Electrochemical Impedance Spectroscopy (EIS). Temperature dependent EIS was performed on 0.5% SmDTO thin films to analyze the effect of doping on its charge transfer resistance. Due to doping, the charge carrier concentration improved surface conduction in SnO2 thin films which was reflected as a steady and gradual decrease in the charge transfer resistance.
Research on Visual Recognition Method of Unmanned Driving Based on Deep Learning
Authors: Qingyong Liu
Published: September 2021

Visual recognition is an important part of unmanned driving technology. With the development of computer technology, the application of deep learning in the field of unmanned driving has been promoted. This article uses Raspberry Pi to build a car with a camera, uses deep learning technology to recognize the acquired image information, and optimizes the structure and parameters of the convolutional neural networks, and finally makes the efficiency of car recognition as high as possible.
Research on image classification algorithm based on depth residuals shrinkage network in Commercial Image Library
Authors: Zhao Jiantao , Chen Wenxin
Published: September 2021

With the advent of the age of multimedia technology and image data, commercial image library services have emerged. We need to use image classification to parse into content that the computer can understand. But when recognizing image features for classification, image data will inevitably produce noise, so in order to make image classification more accurate, we need to remove information that is irrelevant to noise. The Deep Residual Shrinkage Network (DRSN) proposed in this paper can effectively denoise images, and then learn features to classify images. The Deep Residual Shrinkage Network (DRSN) combines the Deep Residual Network (ResNet) and the SENet commonly used in the attention mechanism, and adds a soft threshold function to it. The image data set used in this experiment was downloaded from Panorama Network and Baidu Pictures and then processed. In the experiment, noise was first manually added to the data set, and the deep residual network and the deep residual shrinkage network were used for comparison experiments. It is concluded through experiments that the improved DRSN network has higher accuracy when applied to image classification.
Design of a robot target recognition system based on deep learning algorithms
Authors: Zhang Hanming , Yin Tingting , Sun Hao , Pu Jin
Published: September 2021

Due to the poor multi-scale conversion of matching models constructed by traditional systems, resulting in a poor recognition rate of robot target recognition systems, the design of a robot target recognition system based on deep learning algorithms is investigated. In the hardware design, an image collector is used to collect image information. In the software design, the image acquisition program is set up, the image information is pre-processed, the matching model is constructed based on the deep learning algorithm, the image features are extracted at multiple scales, and the target is recognised using image smoothing and denoising techniques. The experimental results show that the average recognition rate of the designed system is 96.2%, and the average recognition rate of the traditional system is 89.4%, the recognition rate is improved by 6.8%, and the robot target recognition system designed based on deep learning algorithm has better recognition effect and adapts to various recognition environments.
Text mining-based analysis of online comments for skincare e-commerce
Authors: Hong Wen , Wu Yiping , Li Shangze , Wu Ying , Zhou Zehai , Huang Yanbin
Published: September 2021

This article uses online review data of skincare products on e-commerce platforms to summarize the consumer demand characteristics through text clustering analysis and offer common marketing proposals for skincare merchants. From the role of review text clustering analysis, this paper derives two dimensions from e-commerce platforms and skin care product categories, and through feature extraction and lexical item clustering analysis of consumer online review information on different platforms, the focus of attention and characteristic tendencies of consumers on skin care products on different platforms are mined. In turn, the review information can be mined and analyzed to obtain information with business value, and relevant measures can be taken to improve the platform’s services, promote business growth, enhance customer satisfaction, etc. First, develop a reasonable marketing strategy. Second, strengthen product branding.
Research on Image Classification Algorithm Based on Pytorch
Authors: Jiang Lizheng , Zhang Zizhao
Published: September 2021

With the development of artificial intelligence and deep learning, image classification technology has ushered in new opportunities and challenges. The so-called image classification problem is the problem that the user passes in the image, and then the computer sends out the classification and description of the content of the image. Feature description and detection as a traditional image classification method have many drawbacks, such as low accuracy and long time-consuming problems. Among the existing deep learning frameworks, Pytorch is relatively effective. Researchers can use the Pytorch framework to construct convolutional neural network models quickly and easily, and train them on massive data sets. This paper briefly introduces the image classification algorithm, neural network and Pytorch. The classification experiment is carried out on the Fashion MNIST data set, and the accuracy of the model reaches 88.39%. The future research direction is discussed.
Space-Based Information Service Recommendation Algorithm based on Hybrid Strategy
Authors: Wang Yeyin , Wang Shenwei , Yu Jie , Gao Yufeng , Wang Rui , Wang Feng , Li Ying
Published: September 2021

The recommendation technology has been applied to all walks of life, but it is rarely used in space-based information service. Considering the advantages of the recommendation technology and the particularity of space-based information service, a space-based information service recommendation algorithm based on hybrid strategy is proposed. Based on the different stages of the user, the similarity calculation is carried out from three aspects of user attributes, non-common service and service interest. The missing data in the service interest model is predicted by singular value decomposition to solve the problems of cold start and data sparse. Finally, the proposed algorithm is compared with the traditional algorithm, and the accuracy and scalability of the proposed algorithm are improved.
Improved unsupervised domain adaptation network based on category attention
Authors: Fan Longhao , Gao Shouwei , Zhu Fan , Zhu Zhenzhong , Zhou Chaozheng , Peng Yaxin
Published: September 2021

Domain adaptation method can significantly reduce the distribution difference between images in variant domains, which plays an important role in unsupervised medical image segmentation. In this paper, an improved unsupervised domain adaptation framework is proposed based on category attention mechanism. The framework considers both image-level and feature-level alignment, and realizes semantic segmentation in different domains through a shared encoder-decoder. A category attention based classifier is proposed to compute the category attention feature and refine the semantic segmentation prediction. Sufficient experiments on MMWHS-2017 dataset indicate that the proposed method achieves the best segmentation performance among all comparasion algorithms.
Fault detection of pressure sensor of blast furnace fan based on Chaos Sparrow Search Algorithm-Support vector machine regression
Authors: Zhang Ming , Liu Qiong , Deng Jihong , Chen Chun
Published: September 2021

The sensor diagnosis system of the blast furnace axial fan is very important to the safety of the blast furnace fan control system. In view of the fact that the sensor fault detection of the blast furnace fan is not considered in the existing research, this paper proposes to use SVR to establish a fault detection model for the blast furnace fan outlet pressure sensor, and then use the improved chaotic sparrow algorithm to optimize the selection of the SVR penalty parameters and kernel function parameters Find the optimal parameters. By comparing the model prediction value and the residual error of the diagnostic sensor output value, the sensor fault diagnosis is realized. When the fault is judged, the model prediction value is used instead of the fault sensor output value to be used by the blast furnace fan control system to realize the fault-tolerant control of the blast furnace fan control system. The simulation results show that this method realizes the fault detection of the pressure sensor of the blast furnace fan and improves the safety of the blast furnace production.
Edge detection algorithm based on valley lines and watershed
Authors: Wang Bo , Yang Zhiying
Published: September 2021

The purpose of edge detection algorithm is to highlight the edge in the image, which is also the premise and key of image segmentation. However, the traditional edge detection algorithm will amplify the influence of noise in the process of derivative operation, and the noisy edges will often appear, which is not conducive to the accurate extraction of edge. To solve this problem, we propose an edge detection algorithm combining valley lines and watershed algorithm. In this algorithm, the bilateral filter is used to replace the Gaussian filter to achieve edge preserving and denoising. The rewritten Canny operator is used to calculate the low value points and get the valley lines of the image. This process can achieve the first denoising. Then, the valley lines are used to replace the discrete points of water injection and the watershed algorithm is used to calculate the segmentation results of the image. At this time, there are many pseudo edges around the main boundary, and the pseudo edges are deleted by setting the threshold, so as to achieve the effect of secondary denoising. The experimental results show that our method has good performance in noise resistance and edge continuity compared with other and traditional edge detection algorithms.
Research on Robotic Process Automation Application in Electricity Charge Settlement for Distributed Photovoltaic Power Generation
Authors: Ye Ming , Zhao Qian , Zhao Zhiwei , Yu Qiao , Xu Yong
Published: September 2021

Distributed photovoltaic power generation(DPPG) directly supplies power to users nearby, which is conductive to expanding the scale of renewable energy utilization, and is helpful to achieve the goal of “carbon peak and carbon neutrality”. DPPG electricity charge settlement, with the characteristics of large business volume, strong regularity, high repetition, cumbersome manual operation and high error rate, is the typical business scenario for introducing modern information technology to carry out management innovation. Facing the whole process of DPPG electricity charge settlement, starting from business process analysis and optimization and redesigning, the paper introduces robotic process automation (RPA) to build a settlement model of “intelligent robot + personnel + information system”, and provides inspiration and reference for improving the efficiency of electricity charge settlement.
Traffic Clustering Method Based on Adaptive Density Grid
Authors: Sun Haichuan , Gu Liang , Meng Yaning , Xin Haoguang , Dong Chenni , Ma Xin , Zhao Xixi , Wang Liguo , Duan Xiaorong , Gong Xin , Bi Sheng
Published: September 2021

At present, the scale of internal network of some enterprises is expanding with the development of enterprises. The terminal of enterprises is becoming more and more diversified in terms of the number of types and the scope of application. The form of terminal security protection is becoming more and more severe. In this paper, based on adaptive adjust the density of the grid flow clustering method, by aiming at characteristics of the grid density value difference reflect the characteristics of the data of uncertainty on the influence of density threshold, adjustment of adaptive threshold density, determine the key characteristic vector, and the flow characteristics and the agreement that certain learning training, finally realizes the flow clustering.
A multi-step attack scenario mining method based on alert correlation
Authors: Liu Jianyi , Hu Wei , Wang Chan , Zhang Jingwen , Zhang Yahao
Published: September 2021

Aiming at the problems of redundant alerts, a multi-step attack scenario mining method is designed based on alert correlation, which has three steps: alerts preprocessing, clustering based on attribute similarity and clustering the attack graph set to mine attack scenario. This algorithm can discover new attack model without a large amount of graph features by analyzing and studying the characteristics and intrinsic relationship of the alerts. Therefore, the full attack scenario can be fully displayed, the efficiency of security managers can be improved.