Momentum Ranking Function of Z-Numbers and its Application to Game Theory

بعد أن قدم زاده مفهوم ارقام - z أبدى العلماء في مختلف المجالات اهتماما كبيرا بتطبيق هذا المفهوم على مختلف التطبيقات. في تطبيقات أرقام - z ، لمقارنة رقمين z ، يعد إجراء الترتيب ضروريا. في حين تم بالفعل اقتراح عدد قليل من وظائف الترتيب في الأدبيات ، هناك حاجة لتطوير بعض وظائف الترتيب الجيدة. في هذه الورقة ، تم اقتراح دالة ترتيب جديدة لأرقام - z  "وظيفة ترتيب الزخم" (MRF). أيضا ، تم النظر في المشكلات النظرية للعبة حيث تكون عناصر مصفوفة العائد هي أرقام - z وتم توضيح تطبيق وظيفة ترتيب الزخم في مثل هذه المشكلات.After Zadeh introduced the concept of z-number scientists in various fields have shown keen interest in applying this concept in various applications. In applications of z-numbers, to compare two z-numbers, a ranking procedure is essential.  While a few ranking functions have been already proposed in the literature there is a need to evolve some more good ranking functions.  In this paper, a novel ranking function for z-numbers is proposed- "the Momentum Ranking Function"(MRF). Also, game theoretic problems where the payoff matrix elements are z-numbers are considered and the application of the momentum ranking function in such problems is demonstrated

Convolutional Neural Networks for Medical Image Diagnosis and Prognosis

One of the most incredible machine learning methods is deep learning. Utilised for picture categorization, clinical archiving, item identification, and other purposes. The quantity of medical image archives is expanding at an alarming rate as hospitals employ digital photos for documentation more frequently. Digital imaging is essential for assessing the severity of a patient's illness. Medical imaging has a wide variety of uses in research and diagnostics. Due to recent developments in image processing technology, self-operating identification of medical photos is still a research area for computer vision researchers. We require an appropriate classifier in order to categorise medical photos using various classifiers. After organ prediction and classification, the research was modified to include medical picture recognition. For medical picture detection, pretrained convolutional networks and Kmean clustering techniques similar to those used for organ identification are employed. Separating the training from the test data allowed for the data's authentication. The application of this strategy has been proven to be most effective for categorising various medical images of human organs

1,3,4-Oxadiazole Dimers: New and Effective corrosion inhibitors for mild steel in sulphuric acid solution

The corrosion inhibition property of 1,3,4-Oxadiazole dimers have been investigated for mild steel in acidic environment using gravimetric method, Tafel polarization, electrochemical impedance spectroscopy (EIS), scanning electron microscope (SEM), atomic absorption spectroscopy (AAS) and adsorption isotherm. The results revealed that 1,3,4-Oxadiazole dimers had excellent corrosion inhibition property for mild steel in 1M H2SO4 acid media and its inhibitive efficiency was more than 99% even with a low concentration of 1000ppm.The adsorption of the organic compounds on the mild steel surface obeyed Langmuir adsorption  isotherm. IR spectra and SEM proved the adsorption of organic inhibitors and the formation of corrosion products on the mild steel surface.Â

Fortification Support Access Control Manipulate Procedure Intended for Relational Data

Present days majorly concentrated  on meticulous speculation on data.  Access control systems are every  time touch with  Safe and secrecy  maintenance of data but now a days  hackers acting like reliance. Then they are remove info from the user. Last few decades we are fight for the  accuracy privacy preserving on data  but however we not solved this type  of issue. The Access control mechanism avoids the unauthorized access of sensitive information. It protects the user information from the unauthorized access. The privacy protection mechanism is a much important concern in the case of sharing the sensitive information. The privacy protection mechanism provides better privacy for the sensitive information which is to be shared. The generally used privacy protection mechanism uses the generalization and suppression of the sensitive data. It prevents the privacy disclosure of the sensitive data. The privacy protection mechanism avoids the identity and attributes disclosure. The privacy is achieved by the high accuracy and consistency of the user information, ie., the precision of the user information. In this paper, it proposes a privacy persevered access control mechanism for relational data. The literature survey  might provide techniques for workload –aware anonymization for selection predicates, as the problem of satisfying the accuracy constraints for multiple roles has not been studied before. The purpose of the present project is to propose  heuristics for anonymization algorithms and to show the viability of the proposed approach for empirically  satisfying the imprecision bounds for more permission

Design and Perception of a Social Robot to Promote Hand Washing Among Children in a Rural Indian School

We introduce “Pepe”, a social robot for encouraging proper handwashing behaviour among children. We discuss the motivation, the robot design and a pilot study conducted at a primary school located in the Western Ghats mountain ranges of Southern India with a significant presence of indigenous tribes. The study included individual & group interviews with a randomly selected sample of 45 children to gauge their perception of the Pepe robot across various dimensions including gender, animacy & technology acceptance. We also discuss some HRI implications for running user studies with rural children

Influencing Hand-washing Behaviour with a Social Robot: HRI Study with School Children in Rural India

The work presented in this paper reports the influence of a social robot on hand washing behaviour on school children in rural India with a significant presence of indigenous tribes. We describe the design choices of our social robot to cater the requirements of the intervention. The custom built wall mounted social robot encouraged 100 children to wash their hand at appropriate time (before meal and after toilet) using the correct handwashing technique via a poster on a wall. The results indicate that the intervention using the robot was found to be effective (40% rise) at increasing levels of hand washing with soap and with a better handwashing technique in ecologically valid settings

Performance Evaluation of Multimedia Content Distribution over Multi-Homed Wireless Networks

ABSTRACT-The growing availability of IP based heterogeneous wireless access technologies coupled with the increasing capabilities of mobile devices is creating opportunities for multimedia distribution. Through its multi-homing feature, the ability to support multiple network connections in a single end to end association, the transport layer Stream Control Transmission Protocol (SCTP) can enable seamless and transparent communication sessions over multiple heterogeneous networks. This paper analyzes the performance of multimedia distribution when making use of two multihomingSCTPbasedapproaches: Single Path Transfer and Concurrent Multi-path Transfer, in which a single or all paths within an association are used simultaneously for data transmission. In this investigation various retransmission policies and different parameter sets are used in turn and recommendations are made for achieving best results during video delivery. In order to perform this study a novel realistic evaluation tool-set was proposed and is described, which can simulate video delivery over SCTP. Our simulation results and analysis show how to optimize the transmission of multimedia content over SCTP associations in both single and multipath scenarios. INDEX TERMS-Concurrent multi-path transfer, multi-homing, multimedia distribution, SCTP, single path transfer

Role of Nanoparticles in Environmental Remediation: An Insight into Heavy Metal Pollution from Dentistry

Environmental damage is without a doubt one of the most serious issues confronting society today. As dental professionals, we must recognize that some of the procedures and techniques we have been using may pose environmental risks. The usage and discharge of heavy metals from dental set-ups pollute the environment and pose a serious threat to the ecosystem. Due to the exclusive properties of nanosized particles, nanotechnology is a booming field that is being extensively studied for the remediation of pollutants. Given that the nanoparticles have a high surface area to volume ratio and significantly greater reactivity, they have been greatly considered for environmental remediation. This review aims at identifying the heavy metal sources and their environmental impact in dentistry and provides insights into the usage of nanoparticles in environmental remediation. Although the literature on various functions of inorganic nanoparticles in environmental remediation was reviewed, the research is still confined to laboratory set-ups and there is a need for more studies on the usage of nanoparticles in environmental remediation.</jats:p

Evaluation of Nutritional, Phytochemical, and Mineral Composition of Selected Medicinal Plants for Therapeutic Uses from Cold Desert of Western Himalaya

The aim of this study was to determine the elemental and nutritive values of leaf parts of 10 selected wild medicinal plants, Acer pictum, Acer caecium, Betula utilis, Oxalis corniculata, Euphorbia pilosa, Heracleum lanatum, Urtica dioica, Berberis lycium, Berberis asiaticaand, and Quercus ilex, collected from the high hills of the Chitkul range in district Kinnaur, Western Himalaya. The nutritional characteristics of medicinal plant species were analyzed by using muffle furnace and micro-Kjeldahl methods, and the mineral content in plants was analyzed through atomic absorption spectrometry. The highest percentage of used value was reported in Betula utilis (0.42) and the lowest in Quercus ilex (0.17). In this study, it was found that new generations are not much interested in traditional knowledge of ethnomedicinal plants due to modernization in society. Therefore, there is an urgent need to document ethnomedicinal plants along with their phytochemical and minerals analysis in study sites. It was found that rural people in western Himalaya are dependent on wild medicinal plants, and certain steps must be taken to conserve these plants from extinction in the cold desert of Himalayan region. They are an alternative source of medicine because they contain saponin, alkaloid, and flavonoid etc. as well as minerals. The leaves used for analysis possesses good mineral content, such as Na, N, K, P, Zn, Fe, Cu, Mn, Ca, Mg, and S. Hence, in the current study it was observed that medicinal plants are not only used for therapeutic purposes, but they can also be used as nutritional supplements

Aquilaria malaccensis polyploids as improved planting materials

Aquilaria malaccensis is an agarwood-producing timber species used in many traditional remedies and modern therapeutic treatments and perfume industries. In this study, we aimed to enhance A. malaccensis phytochemical content through in-vitro polyploidisation. Shoot tip and nodal segment from 8-week-old in-vitro A. malaccensis plantlets were treated with different concentrations of colchicine and trifluralin at various exposure times to obtain polyploids. Tetraploid plantlets (10%) was obtained using nodal segment explants treated with 0.1 mM trifluralin at 120 hours. Chemical profiling of diploid and tetraploid samples (leaf, stem and root) was evaluated separately using headspace-solid phase microextraction (HS-SPME) combined with gas chromatograph mass spectrometry (GCMS). Phytochemical content increased in tetraploid, particularly in stem whereby the total phytochemical contents were 43.19% in tetraploid compared with 5.87% in diploid. The HS-SPME-GCMS analyses showed that tetraploid stem contained high levels of sesquiterpenoids found in agarwood oil such as α-eudesmol (18.3%), α-gurjunene (8.61%) and γ-gurjunene (6.22%). On the other hand, aromadendrene (2.49%) and α-humulene (3.38%) were detected in diploid samples. Tetraploid leaf samples were observed to contain α-humulene (3.79%) while diploid only contained (2E) tridecenol (19%). There were no significant differences between diploid and tetraploid in terms of total phytochemical content in root samples. Nevertheless, high sesquiterpenoid content, γ-gurjunene (14.0%), was detected in tetraploid sample while γ-muurolene (2.96%), in diploid. α-Guaiene content was higher in root samples of diploid (6.49%) than tetraploid (1.09%). These results demonstrated that tetraploid plantlets led to higher yield of total phytochemical content and might facilitate production of high quality A. malaccensis clones