bluuebunny/crossref_metadata_2025 huggingface dataset:
MEMBACA EKSPERIMENTASI DALAM LUKISAN I KETUT GEDE SINGARAJA
Authors: Purwita Dewa Gede
Published: May 2020

Abad ke-19, lebih spesifik pada pertengahan 1800 merupakan masa eksperimental dalam lini masa sejarah seni rupa Bali. I Ketut Gede Singaraja menjadi pionir di dalamnya, atas bantuan Van der Tuuk sebagai tokoh yang memberikan bantuan medium baru yaitu kertas, pensil dan cat air kepada para pelukis yang ikut menyumbang lukisan sebagai ilustrasi proyek ambisiusnya yaitu kamus Kawi-Bali-Belanda. Kehadiran medium baru ini memberikan ruang bebas bagi pelukis salah satunya I Ketut Gede Singaraja melakukan ekspresinya sehingga lahirlah karya lukisan dengan tanda-tanda kuat mengacu kepada eksperimentasi visual. Metode penulisan mempergunakan deskriptif kualitatif dengan analisis visual. I Ketut Gede berhasil meramu dialek visual seni rupa Bali menjadi sangat khas dan kemudian disebut dengan idiolek. Eksperimentasinya dapat dibaca melalui tanda-tanda yang hadir pada tiap elemen lukisannya semisal yang paling menonjol adalah plastisitas figur, warna, komposisi dan fragmen narasi tunggal.
INOVASI VISUAL TOKOH SANGUT DAN DELEM DALAM SANGUT DELEM CHANNEL
Authors: Indira Wahyu
Published: May 2020

Seni pertunjukan wayang kulit merupakan salah satu seni pertunjukan tradisional yang paling tua di Indonesia dan masih bisa dijumpai hingga saat ini. Dalam wayang kulit Bali terdapat tokoh abdi yang sangat terkenal dan kehadirannya selalu dinantikan oleh penonton karena watak kedua tokoh yang bertolak belakang dan penuh kejenakaan. Seiring dengan perkembangan teknologi digital dan gencarnya upaya pelestarian kearifan lokal, dua tokoh tersebut diadaptasi ke dalam cerita animasi 2 dimensi yang dimuat di salah satu platform media sosial yaitu youtube yang diberi nama Sangut Delem Channel sejak tahun 2017 hingga sekarang. Dalam animasi ini, tokoh Sangut dan Delem dikemas dengan visual yang lebih menarik tanpa mengubah karakter dan ciri khas dari kedua tokoh tersebut serta ide cerita yang diangkat merupakan isu-isu sosial maupun fenomena yang berkembang di masyarakat. Tujuan dari artikel ini adalah untuk mengetahui inovasi visual tokoh Sangut dan Delem dalam cerita animasi Sangut Delem Channel dengan menggunakan teori Inovasi meliputi keunggulan, kesesuaian, kerumitan, kemungkinan untuk dicoba, dan kemudahan untuk diamati. Hasil penelitian ini diharapkan dapat menjadi referensi dalam hal karakter inovasi yang harus diperhatikan dalam membuat sebuah karya animasi yang berbasis kearifan lokal agar dapat menarik dan diterima oleh masyarakat.

 

Kata Kunci: inovasi, tokoh Sangut dan Delem
O COMPORTAMENTO SEXUAL NA ADOLESCÊNCIA
Authors: Do Amparo Rocha Caridade Maria
Published: May 2020

Neste artigo propõem-se reflexões sobre as alterações dos comportamentos dos adolescentes na atualidade. Pondera-se as interferências sociais e culturais, as alterações de papel de gênero, a importância do contato nas relações parentais e, em especial, sobre o fato de que o adolescente é um ser em ebulição, em formação, sendo difícil que possua rumos e limites definitivos.
PRA(Z)SER COMPARTILHADO
Authors: Do Amparo Rocha Caridade Maria
Published: May 2020

Reflexões sobre a qualidade da relação amorosa e como ela transita pela dimensão da igualdade de direitos entre homens e mulheres. A relação desigual sedimenta-se na dominação-submissão, no aprisionamento. A busca da igualdade exige um profundo respeito pelas diferenças, a começar pelas diferenças fisiológicas. O homem atual não precisa cobrar-se ser herói, viril, macho ou vencedor. A mulher atualizada quer o compartilhar do prazer na igualdade.
A CONSTRUÇÃO DO AMOR, DA SEXUALIDADE E DAS RELAÇÕES AMOROSAS NA CONTEMPORANEIDADE
Authors: Paula Neumann Angélica
Published: May 2020

Este artigo tem como objetivo discorrer sobre o amor, as relações amorosas e a sexualidade nos dias atuais, buscando compreendê-los à luz dos fatores psíquicos que constituem os sujeitos e dos fatores sócio-culturais de seu contexto. Toma-se como pressuposto que para falar sobre este tema, é necessário compreender as diversas mudanças que vêm ocorrendo na sociedade desde os tempos modernos. O método utilizado se baseou em revisão bibliográfica e em exploração das publicações atuais sobre a temática. Fica evidente que os valores culturais se destacam como possuindo enorme influência nas concepções sobre o amor e a sexualidade. Apesar disso, percebe-se que a estruturação de relações amorosas saudáveis requer bases sólidas estruturadas ao longo do desenvolvimento humano, o que se configura como a forma mais eficaz de possibilitar às pessoas saberem lidar com as demandas que a cultura impõe.
Live Migration of Stateful Processes across Edge Servers
Authors:   M. Tech. degree, Guru Nanak Dev University, Amritsar., Kaur* Harkiranpreet , Kaur Kiranbir ,   Assistant Professor, Computer Engineering and Technology department of Guru Nanak Dev University, Amritsar.
Published: May 2020

Edge Computing facilitates low-latency for real- time applications. It can be achieved by installing computing infrastructure at the network edge or bringing cloud benefits closer to the user. In Edge Computing, computing resources are not more than one hop away from the user equipment. The mobility of a user in such a case can cause problems. If a user continues to move, maintaining low-latency becomes challenging. So, service is migrated between edge servers as the user moves. This migration can lead to a time duration for which the service is not available, called Downtime. While migrating, to leverage low- latency, Downtime must be kept to a minimum. In this paper, we introduced an approach to migrate service so that the minimum amount of data is transferred during Downtime. We have also discussed some existing techniques for migrating service and compared them based on how they reduce data to be transferred to lessen the Downtime. Our approach transfers lesser data that causes less Downtime than one of the existing techniques.
Experimental Verification of LG WAVE and Ansoft HFSS Simulation Software Using a 2 x 2 Antenna Array with EBG Structure
Authors:   CHRIST (Deemed to be University, Bangalore, India., D* Shashi Kumar , Suganthi S ,   CHRIST (Deemed to be University, Bangalore, India.
Published: May 2020

In this paper we are presenting the validation of the LG RF Simulation tool (WAVE) and HFSS simulation software’s through measurement results of the fabricated design, simulated in WAVE and HFSS simulation software’s. A 2 x 2 antenna array with Electromagnetic Band Gap (EBG) structure in the ground plane is simulated using WAVE and HFSS ver. 17.The prototype antenna was fabricated and characterization is carried out at CHRIST (Deemed to be University) Bangalore to know the performance of the antenna array. Return Loss and VSWR of the fabricated antenna are measured using Anritsu S820E Microwave Site Master Network Analyzer. Two - dimensional radiation patterns were plotted and compared with the simulated results obtained from WAVE and HFSS Software’s. From the results of HFSS simulation software we observed that EBG integrated array is exhibitinggainof7.089dB and Return loss of -16.2 dBat2.4GHz.Whereas the results obtained from WAVE simulation tool for the same design gave a peak gain of 5.03 dB and return loss of -12.8dB at 2.4 GHz. Measured gain of the designed array is 7.407 dB and return loss is -7.565 dB at 2.4 GHz.
Reconstructing Connections Among Women, Agriculture and Food in India
Authors:   Research Scholar, Department of Humanities at Kalinga Institute of Industrial Technology, Deemed to be University, Bhubaneswar, Odisha., Mohapatra Bijaylaxmi , Sarangi Dr. Itishri ,   Associate Professor, English at Kalinga Institute of Industrial Technology, Deemed to be University, Bhubaneswar, Odisha, India.
Published: May 2020

The significant participation of women in the food production process can never be denied. Studies say that women play an important role in agricultural process and its related actions like producing crops, horticulture, seeds collection and crop preservations. Women perform around 70 percentage of farming work using their expertise knowledge of biodiversity adding nutrition and value to food than the engineering and non-organic farms. But, from last few decades the participation of women in agriculture is being devalued due to the patriarch developmental projects in agriculture that aims at profit maximisation only. The international agri-business and dominant economics have projected feminine works invisible as female provide food to their household, not to the market. Due to the failure of statistical data, women’s contribution goes unrecorded and unnoticed. This leads not only a violation in women’s economic independence but also it destroys the women’s expertise in the renewability of the nature causing an ecological crisis. The Green revolution, which replaced the traditional method of crop rotation with monoculture, have extracted the energy and nutrition from the food. Hence, in order to retrieve food from this techno-conspiracy, it is very essential to redevelop feminine knowledge of biodiversity in farming. The present paper analyses three things. First, how women, agriculture and food production are interrelated. Secondly, why the devaluation of women’s knowledge and participation from the farm have given birth a hunger game. Finally, how involving women’s knowledge in sustainable agriculture can save the Earth from the hunger crisis.
Access Control Mechanism for IoT using Blockchain
Authors:   M.E in Computer Engineering from SVBIT, GTU, Gandhinagar, India., Patel* Pratik , Chauhan Pinkal ,   M.E in Computer Engineering from LDRP, Gandhinagar, India.
Published: May 2020

In our everyday lives, IoT plays a vital role. It is crucial to sense, capture and share data from connected devices via internet. Existing system proposed centralized client/server approach where central authority keeps a record of all the activities. Failure of such centralized authority makes the whole system fail. A decentralized / distributed approach is therefore needed if a single failure point is avoided. In this paper contains information to integrating Blockchain in IoT ecosystem in order to achieve access control. We proposed smart contract based architecture which consist multiple permission contract, one decision contract and one entry contract, to achieve distributed and secure IoT device access control. To conclude system framework, we provide a case study in an IoT system with two laptops and one Raspberry Pi single-board computers, where the PCs, DC and EC are implemented based on the Ethereum smart contract platform to achieve the access control.
Static Pentesting of Android Application
Authors:   Mtech, Networking and Internt Engineering, Jss Science and technological University, Mysuru,,Karnataka, PIN-570008, India., P Pooja , M Puneeth K ,   Mtech,, Electroncs and Communication Engineering, Jss Science and technological University, Mysuru, Karnataka, PIN-570008, India.
Published: May 2020

Mobile application use has become increasingly common, particularly android is the most well known working framework being utilized. The portable application is getting developed in all areas like social insurance, individual consideration, Gaming, Business, and so forth, and these applications need the client to give their own information, wherein the client's information are stored on the Mobile gadget, or it is transmitted through the Network as API's. If there are any security, misconfigurations present may lead the hacker to attack the mobile device or the API’s which helps to gain access on the user’s data. Hence, the mobile devices are becoming more prone to security threats. Consequently, the portable applications must ensure to be secure before they are conveyed in the market, and it is the duty of the application proprietor to perform Pentesting on the application to provide security to the client’s information. Pentesting of any android or iOS applications can be performed in two ways, static and dynamic Pentesting. Static Pentesting helps in understating the security threats at the local storage and on the manifest file by reverse engineering the application’s APK or IPA file, whereas dynamic Pentesting helps in finding security threats in the real-time exchange of data through the network. In this paper, the Static Pentesting methodology that can be used for android application Pentesting is described with the use of open-source Pentesting tools and a sample android application. The static Pentesting of any application encourages the engineer to comprehend the security misconfigurations, which ought to be dodged at the development stage of the application itself. This guarantees the security of the client's information at the device level.
Fuzzy Fibrewise Homotopy
Authors:   Department of Mathematics, Sri Sarada College for Women(Autonomous), Salem, India, Mahalakshmi* J. , Sudha M. ,   Department of Mathematics, Sri Sarada College for Women(Autonomous), Salem, India
Published: May 2020

In this disquisition, the notion structures is introduced. The intend of this article is to study the notions of homotopy, path homotopy and fundamental group via structure which is a triplet consisting of two fuzzy topological spaces and a continuous surjection between them. Many properties concerning these concepts are provided.
Hybrid Data Protection Framework to Enhance A2O Functionality in Production Database Virtualization
Authors:   School of Engineering and Technology, Al Dar University College, Dubai, UAE., Azeemi* Naeem Zafar , Hayat Zulqarnain ,   Ankabut IT, Khalifa University of sCience and Technology, Abu Dhabi, UAE., Utaibi Ghassan Al ,   School of Business Administration, Al Dar University College, Dubai, UAE, Basheer Omar Al ,   School of Engineering and Technology, Al Dar University College, Dubai, UAE
Published: May 2020

Deluge of information flows in the unprecedented scenario of smart city development trend, hence prone to issues on stability, reliability and availability. Smart data storage resources are vulnerable to provide functionality Always Available Online (A2O) due to their inherent heavy dependence on System Down Time (SDT), Redundant Systems and Software Failure (RS2F) or whole/ multiple site failures. In the absence of Production Database Management Services (PDMS), duplicate deployment of similar data on disjoint but similar architecture provides a Tightly Coupled Ultimate System (TCUS), which assures A2O mutually exclusive services. In this paper, we investigated active Data Guard (aDG) and Data Guard (DG) role management or switchover for a real time transition performed for database at standby state to cope up both planned maintenance and accidental RS2F events. We expose our results for deep integration of aDGs with ODB in-terms of Fast Sync to align synchronously at an ease of zero of wait states for disk I/O and configurability to Null Data Loss (NDL). Over a large range of remote or standby databases NDL make it certain to zero failover. The impact of aDG Fast-Start Failover in the cloud proximity make sure guaranteed NDL in synchronously and near NDL protection asynchronously. Hence, avoids unusual overhead impeding disk I/O and eventually on a primary database. We observe the key performance indicator in failover does not restart the standby database for primary role resumption, but introduce cloud proximity as a new primary database and the process is performed without any intervention of manual migration. The reliability of aDG Redo is flexible across not only standby databases but also primary sites running different operating system over diverse hardware platforms. The Redo capability enables migration with minimal downtime for any transaction in the clouds, therefore adds an inevitable functionality to big data applications.
Mechanical Stability of Rayon Fibre Reinforced Concrete
Authors:   Department of Civil Engineering, Sathyabama Institute of Science and Technology (Deemed to be University), Chennai, India., Cornelius* Tom , Shwetabh  ,   Department of Civil Engineering, Sathyabama Institute of Science and Technology (Deemed to be University), Chennai, India., C ManojKumaar ,   Department of Civil Engineering,Sathyabama Institute of Science and Technology (Deemed to be University), Chennai, India.
Published: May 2020

The article analyses the mechanical stability of concrete with additions of rayon fibre by determining the fresh property like workability and strength properties like compressive strength, split tensile strength and flexural strength of concrete of grade M30.The effect of rayon fibre on reinforced concrete in variations of 0%, 0.1%, 0.15% and 0.2% was studied. This work includes the casting and testing of rayon fibre reinforced concrete. The test was conducted after 7 days and 28 days and the results were compared with conventional concrete.The mix design of strength of 30 N/mm2 was implemented using Indian Standard method.Concrete is extensively used in the construction industry. Traditional concrete is incapable of taking higher tensile stress and hence fails upon tensile stress. The Rayon fibre induced concrete is an excellent substitute for this problem. This paper reports on the results of an experimental investigation for assessing the behavior of rayon fibre in reinforced concrete and alsoto study the properties of materials and procedure of mix design of fiber reinforced concrete. The main motive is to determine the properties of concrete by adding rayon fibre to the concrete in certain percentage and comparing it with the traditional concreteand physical characteristics of rayon fibres. Rayon fibre is a manufactured fibre made out of natural sources such as wood, agricultural products that are regenerated and cellulose fibre, which can be used to enhance the bending characteristics of concrete.Micro fibres like rayon provide flexibility and also act as reinforcement. Rayon fibre reinforced concrete can be used in the construction of mega structures.
Influence of Loose Urban Development Control on Domestic Wastewater System in Suleja, Nigeria
Authors:   Lecturer, Niger State Polytechnic Zungeru,Nigeria., Mustapha Abdul-Azeez Bashirat , Rasidi Prof Mydya (Dr) Mohd Hisyam ,   Lecturer, Niger State Polytechnic Zungeru, Nigeria., Said Lar (Dr) Ismail ,   Professor, Niger State Polytechnic Zungeru, Nigeria.
Published: May 2020

Domestic water supply and wastewater management are essential indicators of urban quality of life globally, and yet remain major environmental issues in Nigeria. The rapid growth in population has resulted in a higher rate of wastewater generation in Nigerian cities. However, many city plans are unable to cope with these issues appropriately. As a result, the poor management of wastewater is an ever-present problem with its attendant risks to public health and environmental safety. Therefore, this study attempts to analyse the control of urban development and management of domestic wastewater in Suleja, Nigeria. The study critically examines the current urban planning systems and presents an overview of selected technologies adopted for the decentralised treatment and disposal of wastewater in emerging nations. To this end, a documented and dissertation based analysis technique was employed in this study. Firstly, the paper begins by providing a methodical framework for comparative examination of the centralised and decentralised systems. The legal setting and policy framework, present city plan, and wastewater management are also explained. The study finds that loose development control and organic growth of residential development have a strong influence on wastewater management in the community.
Implementation of Novel Fuzzy C-Means Method in Gene Data
Authors:   Research Scholar, Dept. of Computer Science & Engineering, Sri SatyaSai University of Technology & Medical Sciences, Sehore, Bhopal-Indore Road, Madhya Pradesh, India, Maheswari K. Uma , Katiravan Jeevaa ,   Research Guide, Dept. of Computer Science & Engineering, Sri Satya Sai University of Technology & Medical Sciences, Sehore, Bhopal Indore Road, Madhya Pradesh, India
Published: May 2020

Microarray innovation as of late has significant effects in numerous fields, for example, medical fields, bio-drug, describing different gene capacities, understanding diverse atomic bio-legitimate procedures, gene expression profiling and so on. In any case, microarray chips comprise of expression levels of an immense number of genes, thus produce huge measures of data to deal with. Because of its huge volume, the computational examination is basic for extricating information from microarray gene expression data. Clustering is one of the essential ways to deal with break down such a huge measure of data to find the gatherings of co-communicated genes. The issues tended to in hard clustering could be fathomed in a fuzzy clustering strategy. Among fuzzy based clustering, fuzzy c-means (FCM) is the most reasonable for microarray gene expression data. The issue related to fuzzy c-means is the number of clusters to be generated for the given dataset should be determined in earlier. The fundamental goal of this proposed Novel fuzzy c-means (NFCM) strategy is to decide the exact number of clusters and decipher the equivalent effect.
Motor Imagery EEG Classification based on Machine Learning Algorithm
Authors:   Research Scholar, SCSIT DAVV, Indore, MP, India., Rusiya* Pradeep , Chaudhari Dr. N. S. ,   Professor, IIT, Indore, India.
Published: May 2020

The advancement of computer technology facilitates in the field of medical science for the analysis of complex Diseases related to the neurology. These technologies named as BCI (brain computer interface). The BCI is open area of research for physically challenge people such as paralyzed and amputees. The current technology of computer interface interest in EEG (electroencephalographic) for the analysis of signals for the predication of nervous system. The current trends of brain computer interface focus on process signal of EEG for the sense of human body behaviors and movement of nervous system, motor imagery and various senses. The gathered signal by the EEG is very noisy and predication and recognition of the motor imagery is typical. The minimization of noise upgrades the predication procedure and examination of signal behaviors. For the analysis of behaviors system utilized soft computing processing approach, for example, neural system, optimization techniques. The component extraction and feature selection are also major issue in motor imagery analysis for critical and complex disorder of human brain system.
VASD2OM: Virtual Auditing and Secure Deduplication with Dynamic Ownership Management in Cloud
Authors:   CSE, University Visvesvaraya College of Engg, Bangalore University, Bangalore, India., Mara* Geeta C , R C Nikhil ,   ASE, Jain University, Bengaluru, India., S Raghavendra ,   CSE,University Visvesvaraya College of Engg, Bangalore University, Bangalore, India., Buyya Rajkumar ,   CSE, The University of Melbourne, Australia, K R Venugopal ,   Bangalore University, Bangalore, India.
Published: May 2020

In cloud repository amenities, deduplication technology is often utilized to minimize the volume and bandwidth by removing repetitious information and caching only a solitary duplicate of them. Deduplication is extremely productive when many customers deploy the identical information to the cloud repository, but it aggrevates problems pertaining to safety and proprietorship. Proof-of-ownership mechanism authorize any possessor of an identical information to approve to the cloud repository server that he possess the information in a dynamic way. In repository utilities with enormous information, the repository servers may want to minimize the capacity of cached information, and the customers desires to examine the integrity of their information with a reasonable cost. Aiming at realizing integrity auditing and deduplication with effective proprietorship administration of information in the cloud, we propose Virtual Auditing and Secure Deduplication with Dynamic Ownership Management in Cloud (VASD2OM) mechanism. It empowers the distributed server to limit access to the deployed information though the proprietorship transforms actively. Further, the mechanism supports safe and effective virtual auditing of the documents during the download process. In addition, the proposed mechanism lowers the burden of dataowner to audit documents by himself and there is no need to authorize auditing to a Third Party Auditor (TPA). Experimental results demonstrate that the virtual auditing has low auditing time cost relative to the existing public auditing schemes.
Performance of Flat Plate Solar Collectors using Different Thickness of Glazing Material
Authors:   Asstt. Professor, Vaish College of Engineering, Rohtak, India, Singh* Sandeep , Gupta Dr. Umesh ,   Associate Professor, Vaish College of Engineering, Rohtak, India, Bansal Dr. Ankit ,   Associate Professor, Vaish College of Engineering, Rohtak, India
Published: May 2020

This paper throws light on the research of the outcome of breadth of glazing material such as glass on the flat plate solar saver presentation. There are 4 models of the solar saver comprised with varying thickness of glass which are investigated experimentally. The area of the collector fabricated is 0.72x0.15 meters. The thickness parameters considered in the study is low glass iron having the values of 2mm, 3mm, 4mm and 5mm. these materials are used as the glazing material in the present setup. The performance regarding the collector was evaluated and contrasted with the 5mm thickness glass. The result depicted that thickness material having 4mm value has the best results in the time duration considered in the study from morning 7:30 am to evening 6 pm. The effectiveness calibrated showed that 4mm glass gave 35.98% in comparison to the 5mm which incorporated 28.2%.
Urban Growth Assessment of Chennai District by Remote Sensing and Gis Techniques
Authors:   Assistant Professor, Department of Civil Engineering, St.Joseph’s College of Engineering, Chennai-600119, India., Thangaperumal* S. , Maneckam N.Muthu ,   Department of Civil Engineering, St.Joseph’s College of Engineering, Chennai-600119, India., Nachiappan G. ,   Department of Civil Engineering, St.Joseph’s College of Engineering, Chennai-600119, India.
Published: May 2020

Urban growth of Chennai district is exponential and heading towards extreme urbanisation. Hence this necessitates the study of urban growth in Chennai district. The recent advancement in Remote sensing and GIS has an excellent ability to derive various data from the satellite images obtained .This helps us to map, monitor and picturise various aspects of development with respect to their demands. The basic principle of remote sensing is followed as the methodology. By following the methodology correctly and by proper processing of the data acquired from the satellite images, the exact requirements of information can be obtained. The Change in the urban growth of the Chennai district for three decades from 1989 to 2019 have been found by using remote sensing and GIS techniques. The satellite images of various years are obtained from Landsat satellite from the USGS Earth Explorer .The Land use characteristics of Chennai district of each year can be obtained by preparing the land use land cover map of Chennai district by the use of landsat satellite images. The two software namely ArcGIS and ERDAS Imagine are used to create the Land use land cover map. From the Land use land cover map of Chennai district, the change detection and statistical analysis of three decades are done and these analysis clearly shows that the urban growth of Chennai district is constantly increasing and there is a huge decrease in other natural features such as vegetation, water body and barren land. By performing urban trend analysis the urban growth of Chennai district for the upcoming years are predicted to prove the urban agglomeration in Chennai district.
Mahaviracharya Encryption Standard (MES)
Authors:   Assistant Professor, Department of CSE, University College for Women, Osmania University (OU), Hyderabad, India., Nagaraju B. , Ramkumar Dr. P. ,   Professor Department of CSE, University College of Engineering, Osmania University (OU), Hyderabad, India.
Published: May 2020

Given the current use of the Internet, The most important thing is to provide security to the user's information. Many encryption algorithms already exist for this purpose. Here we discussed a new process called Mahaviracharya Encryption Standard. MES is a symmetric encryption algorithm. Here, this algorithm is cryptanalyzed, and compared with blowfish algorithm. MES algorithm can be used instead off algorithms like AES, Blowfish etc.
Malaria Cell Image Classification using Deep Learning
Authors:   Department of Computer Engineering, Shah and Anchor Kutchhi Engineering College Mumbai University, India, Chima*. Jaspreet Singh , Shah. Abhishek ,   Department of Computer Engineering, Shah and Anchor Kutchhi Engineering College Mumbai University, India., Shah Karan ,   Department of Computer Engineering, Shah and Anchor Kutchhi Engineering College Mumbai University, India., Ramesh Dr. Rekha ,   Associate Professor, Department of Computer Engineering, Shah and Anchor Kutchhi Engineering College Mumbai University, India.
Published: May 2020

Malaria caused by the Plasmodium parasites, is a blood disorder, which is transmitted through the bite of a woman Anopheles mosquito. With almost 240 million cases mentioned each year, the sickness puts nearly forty percentage of the global populace at danger. Macroscopic usually take a look at thick and thin blood smears to identify a disease or a cause and figure it out what weakens them. However, the accuracy depends upon smear quality and awareness in classifying and counting parasite and non-parasite cells. Manual evaluation, which is the gold standard for diagnosis requires various steps to be performed. Moreover, this process leads to overdue and misguided analysis, even when it comes to the hands of expertise. In our project, we aim at building a robust, minimized reliance of humans, sensitive model for automated analysis of Malaria. A category of deep learning models, namely Convolutional Neural Networks, guarantee especially versatile and advanced outcome with end-to-cease attribute extraction and categorization. The precision, unwavering quality, velocity and cost of the methods utilized for malaria examination are key to the diseases’ cure and ultimate eradication. In this study, we compare the overall performance of pre- trained CNN primarily based DL model as characteristic extractors closer to classifying parasite and non-parasite cells to aid in progressed sickness screening. The highest quality model layers for attribute extraction from the underlying records, is determined experimentally. The dataset has a variety of Parasite and Non-Parasite pictures of blood samples. To achieve accurate outcome, we have selected certain dominating features such as size, color, shape and cell count from the images which will help in the categorization process. Pre-trained CNNs are used as a promising tool for attribute extraction; this can be determined by the outcome of its statistical validation. Given these developments, automated microscopy could be a very good deal in the chase towards a low-priced, effortless, and dependable method for diagnosing malaria.
Recognize Objects for Visually Impaired using Computer Vision
Authors:   U.G. Student Computer Department, Rajiv Gandhi Institute of Technology, Mumbai, India., Pawar* Deven , Raul Mihir ,   U.G. Student Computer Department, Rajiv Gandhi Institute of Technology, Mumbai, India., Raut Pranav ,   U.G. Student Computer Department, Rajiv Gandhi Institute of Technology, Mumbai, India., Gaikwad Sharmila ,   Asst. Professor, Rajiv Gandhi Institute of Technology, Mumbai, India.
Published: May 2020

Visually impaired people are often unaware of dangers in front of them, even in familiar environments. Due to lack of vision either partial or complete, such people are highly dependent on the sense of hearing to perform day to day activities. One more form of vision impairment is colour blindness. Individuals with colour blindness find it hard to distinguish between colours. This research proposes making software that can help such individuals for solving the unawareness of the surrounding of the visually impaired people which allows them to have a greater awareness of their surroundings. The software needs an input device typically a camera and an audio feedback system. The camera will continuously capture images and the algorithm recognize the objects in the image and output the result using the audio feedback system. The system also proposes to include colour extraction to also correctly identify the colour of the object and a further addition is to identify individuals if enough datasets are provided. If any suspicious/dangerous objects detected in the surrounding the software will inform the user about the imminent danger. This study has analysed Faster R-CNN, SSD (Single Shot MultiBox Detector) and YOLO (You only look once) for their accuracy and rate of object detection. This research also studied different operating scenarios of the device which includes operation at night and operation in various orientations. The results of the object recognition system while using YOLO have an accuracy of 59.7% and 10fps during real-time operation, which is sufficient for assisting visually impaired people in realizing the types and localities of the objects around them.
Energy Efficient Routing Protocol based on Clustering for Multi-Hop Infrastructure-Less Wireless Networks
Authors:   PhD Scholar Uttarakhand Technical University (UTU), Dehradun (Uttarakhand)-INDIA, Kumar* Arun , Singh Dr. R.K. ,   Professor, Dept of ECE, BTKIT Dwarahat (Almora) Uttarakhand- INDIA, Vijay Dr. Sandip ,   Professor & Director, SCE, Dehradun affiliated to Uttarakhand Technical University (UTU), Dehradun (Uttarakhand)-INDIA
Published: May 2020

The evolution of mobile computing devices to share information has forced mobile users to opt for a Wide Area Network (WAN). Infrastructure-less network has captured all the surroundings. Therefore, in this work a Cluster based Energy Efficient Routing Protocol (CERP) for has been proposed for multi-hop infrastructure-less wireless networks and has been compared with widespread existing protocols. This routing protocol has the capability to identify the backbones from all the existing nodes within the network and circulate them within acceptable time limit. CERP backbones maintain its unique arrangement. They remain stimulated for multi-hop packet hoping while remaining in power budgeting mode. The alternative sensor nodes occasionally check if the present nodes are awaken and can set up itself as the backbone of the network. In order to identify the nodes that are not required and to regulate backbone within specifically defined geographical area, researchers opt to organize a scrutinizer from the backbone. This has to be done beneath them and also in between of the geographic area of the entire network. It has been predicted that the amount of energy saved using proposed protocol will amplify exclusively up to some extent once the density increases.
Solar PV Fault Classification using Back Propagation Neural Network
Authors:   Student, Department of Electrical Engineering, A.C. Patil College of Engineering, Kharghar, Mumbai University, India., Shinde* Poonam , Deore Dr. S. R. ,   Professor, Department of Electrical Engineering, A.C. Patil College of Engineering, Kharghar, Mumbai University, India.
Published: May 2020

Solar energy is that the foremost abundant, inexhaustible and clean of all renewable energy resources. Interest in electrical solar PV power generation has accumulated in recent years due to its benefits. This wide distribution of physical phenomenon panel production wasn't followed by watching, fault detection and designation functions to verify higher gain. In this paper, real time fault analysis and fault detection is done by using Back propagation. By simulating various fault conditions, the performances of a faulty electrical solar photovoltaic module have been compared with respect to its faultless model by quantifying the precise differential residue which can be associated with it. The deformations and faults induced on the I-V curves and P-V curves have been studied to generate data for neural network analysis for different types of faults. Five different fault cases like module to module fault, module - ground faults, short circuit fault, and different shading patterns of modules and solar cells are considered. The MATLAB simulation model’s results show the respective results for various fault conditions along with variation of different solar irradiation which commonly occur in the photovoltaic systems. The projected technique is often generalized and extended to additional sorts of faults. This faults condition was analyzed by using Backpropagation Based Neural Network (BP-ANN). Back propagation technique ensures fine tuning the weights of neural network to get lower error rates making the model more reliable, therefore the BP-ANN technique contributes in improving the overall accuracy for fault detection in the system using Artificial Neural Network.
A Dynamic Multi Label Image Classification based on Recurrent Neural Networks
Authors:   Assistant professor of Information technology in SRM IST,Chennai,Tamil Nadu,India., B* Mr. Kalyanaraman , Balasaran M ,   department of Information Technology,SRM IST,Chennai,Tamil Nadu,India., Vishwanath Kaushik G ,   department of Information Technology,SRM IST,Chennai,Tamil Nadu,India., SK Ragul ,   department of Information Technology,SRM IST,Chennai,Tamil Nadu,India, Samuel Bryan John ,   department of Information Technology,SRM IST,Chennai,Tamil Nadu,India
Published: May 2020

The traditional technique used for image recognition has complexity in the construction of algorithm and the training speed for the system to analyze algorithm is also too high so, the computation of the algorithm becomes very difficult in order to overcome this lack of computation. The proposed system is very efficient in both training as well as the computation speed required for the image recognition. Since, the proposed system uses the traditional LSTM algorithm which is one of the backbone factors of the RNN technique as it predicts the input on the basis of sequential analysis as it uses tanh function in order to remove the negative values of the matrix and it also predicts and removes the error in the input with the use of differential formulas in order to formulate the outcome desired for the image to be recognized. Because of this sequential analysis of the data increases the future scope of image recognition in the field of deep learning, and also because of its efficient use of the algorithm in comparison with the existing algorithm like ANN, CNN.
FPGA based Performance Analysis of Speed Control Permanent Magnet Synchronous Motor Drive with Pi and Fuzzy Logic Controller
Authors:   Electrical Engineering Department,BIT Sindri, Dhanbad, Jharkhand, India., Murmu* Rajendra , Singh Arvind Kumar ,   Electrical Engineering Department, NERIST, Nirjuli, Arunachal Pradesh, India.
Published: May 2020

Present research demonstrates an experimental work and simulation of FPGA based PMSM drives consists of PI and Fuzzy logic controller, for speed control under load, zero load and random change in load conditions. It also delineates the overall performance of a closed loop vector Permanent Magnet Synchronous Motor (PMSM) drive consisting of two loops, current for inner and speed for outer loops for better speed tracking systems. The resistive load which is connected across the armature of dc shunt motor and coupled with PMSM is varied. The resultant speed and torque are studied in details. Result showed that in case of fuzzy logic controller, the peak overshoot and settling time can be minimized. This FPGA based PMSM drives can be used for different paramount application under constant speed.
Automated Self Navigated Dustbin Dispensary System in Smart Cities
Authors:   Assistant Professor, Department of Computer Science and Engineering, Sri Krishna College of Engineering and Technology, Coimbatore, India, Pooranam* N. , Sabareshwar S.K.Sai ,   Department of Computer Science and Engineering, Sri Krishna College of Engineering and Technology, Coimbatore, India, Sundar K.R.Shyam ,   Department of Computer Science and Engineering, Sri Krishna College of Engineering and Technology, Coimbatore, India., Krithik P.B.Rahav ,   Department of Computer Science and Engineering, Sri Krishna College of Engineering and Technology, Coimbatore, India.
Published: May 2020

In the modern era disposing wastes in a safe way is essential now a day; the main issues are garbage overflow. This creates unhygienic and unclean in the environment, it produces bad smell. This may leads in spreading some deadly diseases and human illness; environment should be kept clean and hygienic in society every place should be monitored in a high expense, to reduce this process the proposed approach helps in reducing entire process. The model is fully automated, where the smart dustbin automatically disposes the waste in a fixed location. Therefore this IOT connected through wired and wireless without user intervention. In the design system PIC controller will help in providing connectively in an efficient way. It reduces man work and improves maintenance of the dustbin. This process is controlled by a smart app which includes the performance measure is high which can be monitored through smart device. The design is equipped with high sensor devices which gives alert when it leads to any danger for the environment.
Soft Computing Based Ground Target Recognition
Authors:   CSE Department, Thapar Institute of Engineering and Technology, Patiala (INDIA)., Bhalla Vinod Kumar , Kumar Ravinanda ,   CSE Department, Thapar Institute of Engineering and Technology, Patiala (INDIA)., Singla Manish Kumar ,   EIE Department, Thapar Institute of Engineering and Technology, Patiala (INDIA)., Nijhawan Parag ,   EIE Department, Thapar Institute of Engineering and Technology, Patiala (INDIA)
Published: May 2020

Target recognition from the data obtained from radars poses great challenge to manual analysis of the target with high speed and accuracy. So to overcome this challenge automatic target recognition system is developed using soft computing machine learning tool. The problem becomes more complex when the images are clicked from various angles. An automated classification scheme is proposed in this paper. Principal Component Analysis is used for feature extraction and to reduce the high dominions in the images data. It is known that principal component analysis is widely used from in various fields like space science. Support vector machine is used as a tool. All major kernel functions are applied to gain the maximum accuracy. This framework is evaluated and found effective as compared to results than other methods.
Data Science Techniques, Tools and Predictions
Authors:   Computer Science Department, College of Arts and Science, Prince Sattam Bin Abdul-Aziz University,Wadi Al Dawassir, Riyadh, K.S.A., Muqeeth* Mr.Mujthaba Gulam , Kolhar Dr.Manjur ,   Computer Science Department, College of Arts and Science, Prince Sattam Bin Abdul-Aziz University, Wadi Al Dawassir, Riyadh, K.S.A., AlAmeen Dr.Aballa ,   Computer Science Department, College of Arts and Science, Prince Sattam Bin Abdul-Aziz University, Wadi Al Dawassir, Riyadh, K.S.A., Rahmath Dr.Mohammed ,   Computer Science Department, College of Arts and Science, Prince Sattam Bin Abdul-Aziz University, Wadi Al Dawassir, Riyadh, K.S.A.
Published: May 2020

Almighty created human being with numerous wants and needs which makes them associated with their own data, choices and preferences. To grow and develop any business or organizations it is very obligatory to know their clients requests or customer needs based on their data. The evolving role of data makes it very vital element in any organization and carried with convinced operations. In this paper we are going to present a study of Data Science and its relevance with Artificial Intelligence, machine learning and deep learning. The incorporation of these intellectual sciences in data science is useful for perming numerous operations in our research we tried to demonstrate the data science operations like data cleaning, data processing, data modeling, data visualization and data presentations techniques. To grow any business it is mandatory to know their customer needs and satisfy their future expectations by smart decision makings. The intellectual algorithms or data operations in the data science make the data to be more effective in decision making and decision polices. We also focus on how data science incorporates mathematical & statistical methods, logical reasoning with applications of Artificial Intelligence techniques. We also focus on various data operations tools which exists in the market like python, SAS, R and many others. At last we focusses on how data science field going to meet the future expectations of many businesses. This research paper may become as successful reference for the people to carry out their research and meet the expectations of data science field with business growing decisions.
Image Reconstruction and Per-pixel Classification
Authors:   Assistant professor, ECE, Vignan Institute of Technolgy and science(VITS)., Reddy* Gondhi Navabharat , Setlem Sruthi ,   Assistant professor, ECE, Vignan Institute of Technolgy and science(VITS).
Published: May 2020

We describe face classification algorithm which can be used for object recognition, pose estimation, tracking and gesture recognition which are useful for human-computer interaction. We make use of depth camera (Creative Interactive Gesture Camera – Kinect®) to acquire the images which gives several advantages when compared over a normal RGB optical camera. In this paper we demonstrate a intermediate parsing scheme, so that an accurate per-pixel classification is used to localize the joints. We make use of an efficient random decision forest to classify the image which in turn helps to estimate the pose. As we employ depth camera to acquire depth image it may contain holes on or around depth map, so we first fill those holes and the classify the image. Simulation results was observed by varying several training parameters of the decision forest. We generally learned an efficient method which stems the basics in the development of pose estimation and tracking. Also we gained an intensive knowledge on Decision forests.
Increasing the Efficiency of Lung Cancer Detection by Improving Local Magnification Operations of the FPR Network
Authors:   T, M.E., Computer Science and Engineering, Francis Xavier Engineering College, Peeris* Maria Patricia , Senthil Prof. Brundha ,   Professor, Francis Xavier Engineering Col-lege, Tirunelveli, Computer Science Department.
Published: May 2020

Lately, lung cancer has become a terminal disease increasing the mortality rate due to the late diagnosis of the ail-ment. Early diagnosis can help reduce the death rate abundantly. The prediction of abnormalities from the given input images is a crucial factor. Deep learning has played an important role in early cancer detection by training networks to detect abnormali-ties via the given image. Convolution Neural Network (CNN) are most commonly used for cancer detection. In this paper, we pro-pose a CNN with the concept of down-sample in the Region of Interest (RoI) of the Computed Tomography (CT) images where the RoI will be subjected to magnification. Here, the magnifica-tion operation will first identify a spot from the upper region and then travel downwards towards the end of the CT image. Howev-er, every RoI will undergo local magnification process before the network could detect the next lesion. Detecting lesion are more effective as the lesions are disrupted structures in the human tissues that projects anomalies in the section viewed. Therefore, these anomalies can be useful in detecting lung cancer efficient-ly.