bluuebunny/crossref_metadata_2025 huggingface dataset:
Taguchi Optimization of Wire EDM Parameters for Surface Roughness of Al 6061 Alloy Based Composite With Sic Reinforcement
Authors:   M.Tech from IKG Punjab Technical University, Punjab, India., Sharma Rohit , Aggarwal Dr. Vivek ,   Assistant Professor in IKG Punjab Technical University, Kapurthala, India., Payal Prof. (Dr.) H. S. ,   Professor and Head of Department, SHRU, Dehradun.
Published: August 2019

The Al 6061 alloy based Al- SiC metal matrix composite is rated as one of the most commonly used Metal Matrix Composites (MMCs) today. The MMC specimens studied in this research work were fabricated with the stir casting process. This research work studies important parameters in the wire electric discharge machining of Al-SiC 6061 MMC. We employed Taguchi approach to study the machining parameters during the machining process and to minimize the surface roughness values of the surfaces obtained by Wire EDM (Wire Electric Discharge Machine) machining. We found out that out of the seven factors used in this study, gap voltage during the wire EDM machining is the most prominent factor which influences the obtained surface roughness values. Comparatively, a very low value of surface roughness (Rq) was obtained by us during confirmation test by us.
Semantic Similarity Based Automatic Document Summarization Method
Authors:   Research Scholar, JNTUK Asst professor Dept of IT, RVR & JC College of engineering, Guntur, Andhra Pradesh, India., Rao* K Sriniva sa , Murthy D S R ,   Professor, Dept. of CSE, Geethanjali College of Engineering and Technology. Hyderabad, Telangana, India, Kancherla Gangadhara Rao ,   Professor, Dept. of CSE, ANU, , Guntur, Andhra Pradesh, India.
Published: August 2019

Document summarization is the process of generating the summary of the documents gathered from the web sources. It reduces the burden of web readers by reducing the necessity of reading the entire document contents by generating the short summary. In our previous research work this is performed by introducing the method namely Noun weight based Automated Multi-Document Summarization method (NW-AMDSM). However the previous research work doesn’t concentrate on the semantic similarity which might reduce the accuracy of the summarization outcome. This is resolved in the proposed research method by introducing the method namely Semantic Similarity based Automatic Document Summarization Method (SS-ADSM). In this research work, multi document grouping is done is based on semantic similarity computation, thus the document with similar contents can be grouped more accurately. Here the semantic similarity computation is performed with the help of word net analyzer. The document grouping is done by introducing the modified FCM clustering algorithm. Finally hybrid neuro fuzzy genetic algorithm is introduced to perform the automatic summarization. The numerical analysis of the proposed research method is conducted in the matlab simulation environment and compared with other research methods in terms various performance metrics. The simulation analysis proved proposed method tends to have better performance in terms of increased accuracy of document summarization outcome.
EADPSODV Technique for Solving UC Problem
Authors:   Electrical and Electronics Engineering, GITAM University, Visakhapatnam, India., Ramu M , Kumar Pramod ,   Electrical and Electronics Engineering, GITAM University, Visakhapatnam, India., Reddy S.V.Bharath Kumar ,   Electronics and Instrumentation Engineering, GITAM University, Visakhapatnam, India.
Published: August 2019

Unit Commitment problem (UC) is a large family of mathematical optimization problems usually either match the energy demand at minimum cost or maximize revenues from energy production. This paper proposes a new approach for solving Unit Commitment problem using the EADPSODV technique. In PSODV, the appropriate mutation factor is selected by applying Ant Colony search procedure in which internally a Genetic Algorithm (GA) is employed in order to develop the necessary Ant Colony parameters. In EADPSODV method the advantageous part is that, for determining the most feasible configuration of the control variables in the Unit Commitment. An initial observation and verification of the suggested process is carried on a 10-unit system which is extended to 40-unit system over a stipulated time horizon (24hr). The outcomes attained from the proposed EADPSODV approach indicate that EADPSODV provides effective and robust solution of Unit Commitment.
Evaluation Of Efficiency For Intrusion Detection System Using Gini Index C5 Algorithm
Authors:   Department of Computer Science and Applications, Sri Krishna Arts and Science College, Coimbatore-8, Tamil Nadu, India., Devaraju Dr.S.
Published: August 2019

Security is the critical part in the computers and the networks which connect the computers each other’s through network for communication or exchange the data. It is a wide complex to secure the data while transmitting the data between the system/networks. The intrusion detection is a mechanism to protect the data. There are various existing mechanisms for intrusion detection namely neural network, data mining technique, fuzzy logic, statistical technique etc. In this paper, Principal Component Analysis is applied to reduce the features and Gini index C5 algorithm is used to investigate and evaluate the efficiency and false positive rate. The benchmark KDD dataset is used to evaluate the efficiency and minimize the false positive rate using Gini index C5 algorithm and compare with other algorithm which shows significant improvement and to experiment the KDD Dataset to improve the efficiency and minimize the false positive rate using MATLAB software and demonstrated with the KDD dataset.
Draft Fan Control Using Fuzzy Logic in Thermal Power Plant
Authors:   Department of Electronics and Instrumentation Engineering, M.Kumarasamy College of Engineering, Karur, India, Sakthi* P. , Yuvarani P. ,   Department of Electronics and Instrumentation Engineering, M.Kumarasamy College of Engineering, Karur, India, Kiruthika S. ,   Department of Electronics and Instrumentation Engineering, M.Kumarasamy College of Engineering, Karur, India
Published: August 2019

In a thermal power plant combustion process in the boilers plays a vital role and it has to be controlled effectively. At present, this is controlled using draft fans employed with DCS. This paper deals with the controlling process using Fuzzy logic. The goal of this task is to manage the Forced draft fan, Secondary air fan, Grid refining fan and induced draft fan in the boiler. Every one of these fans assumes a significant job in controlling the temperature of the boiler during the burning (combustion) procedure. Utilizing DCS to control the temperature is mind-boggling expense and furthermore it needs a different server, a processor and a workstation to complete the procedure. In the case of software based Fuzzy logic controller, the controlling process is the cheapest and the easiest method to maintain and control.
Application Of Deep Learning Techniques For Effective Assessment And Prediction Of Arthritis In Aged People
Authors:   Department of Computer Science and Engineering, Dr.Ambedkar Institute of Technology, Bengaluru, India., C* Rohini , S Gowrishankar ,   Department of Computer Science and Engineering, Dr.Ambedkar Instiute of Technology, Bengaluru, India.
Published: August 2019

Arthritis is an autoimmune disorder characterized by chronic synovial inflammation mainly leading to the destruction of joints and bone erosions. In aged people, arthritis is more common than any other disease, and it causes pain in the musculoskeletal system that lowers the quality of life of patients. The use of deep learning in medicine is increasing and has provided new avenues for research into a number of diseases. In this paper, we are using deep learning for detection of arthritis in finger joints from X-ray images of hand based on convolutional neural networks. For training 70 X-ray pictures are taken and for testing 10 X-ray pictures are taken. This system achieved more accuracy for test data sets. The proposed method will aid clinical researchers to learn more on arthritis.
Intelligent Classification Technique for Breast Cancer
Authors:   Research Scholar, Department of CIS, Annamalai University. Chidambaram, Karthikeyan E. , Venkatakrishnan Dr. S. ,   Assistant Professor & Dy Co-Ordinator, Engineering Wing,DDE, Annamalai University. Chidambaram.
Published: August 2019

Breast cancer is also a leading cause of cancer death in the less developed countries of the world. This is partly because a shift in lifestyles is causing an increase in incidence. Breast cancer originates from the inner lining of milk ducts/lobes either in the form of invasive or non invasive disease in general. Mammography, particularly with Computer-Aided Detection (CAD), can now produce images detailed enough for diagnostic purposes, and digital mammography allows transmission of 3-dimensionssal images over long distances. The aim for the system is to design a Computer Aided Diagnosis systematic tool for perceiving non cancerous and perilous (cancer causing) mammogram. The aim of the research is proposed to develop an image processing algorithm for an automatic detection and classification of breast lesions accurately. CAD tool helped radiologist in expanding his assurance accuracy. Support vector machine (SVM) classifier is used to discriminate the tumors into benign or malignant. Incorporate best features of the find out that has significant responsibility in achieving the perfect turnout which are then designated and associated with ANN to train and classify.
Hidden Markov Model Based Odia Numeral Recognition Using Moment and Structural Features
Authors:   Department of Computer Science, Ravenshaw University, Cuttack, India., Jena* Om Prakash , Pradhan Sateesh Kumar ,   Department of Computer Science, Utkal University, Bhubaneswar, India., Biswal Pradyut Kumar ,   Department of ECE, International Institute of Information Technology (IIIT) Bhubaneswar, India., Tripathy Alok Ranjan ,   Department of Computer Science, Ravenshaw University, Cuttack, India., Nayak Sradhanjali ,   Department of Computer Science, Utkal University, Bhubaneswar, India.
Published: August 2019

Optical character recognition (OCR) is a strategy to perceive character from optically checked and digitized pages. OCR plays an important role for Indian script research. The official language of the state Odisha is Odia. OCR face an incredible difficulties to recognize Odia language due to similar shape characters, their complex nature, the complicated way in which they combine form to compound character, use of Matra etc. Each character and numbers are passed through several modules like binarization, noise removal, segmentation, line segmentation, word segmentation, skeletonization, deskewing, thinning, thickening. The input picture is standardized to a size of 50 x 50 2D pictures. HMM is a stochastic process which has utilized in various applications for example speech recognition, Handwriting recognition, Gesture recognition. In this paper we utilized HMM to recognize the Odia character and numbers. Hidden Markov Model have many advantages such as resistant to noise, handle contrast recorded as a hard copy and the HMM devices are effectively accessible. In our proposed method we have developed an efficient recognition algorithm using Hidden Markov model based on moment based and structural feature to recognize Odia characters and numerals.
A Robust Image Cryptography Scheme using Optimal Band Selection and Dynamic Key Embedding
Authors:   Research Scholar, ECE Dept., ANU College of Engg. & Tech., Acharya Nagarjuna University, Guntur, Assistant Professor, ECE Dept., Koneru Lakshmaiah Education Foundation, Vaddeswaram, Andhra Pradesh, India,, Mohammad Ali Baig , Babu Tummala. Ranga ,   Professor & Head, ECE Dept., R.V.R & J.C College of Engineering, Guntur, Andhra Pradesh, India,
Published: August 2019

Secure Image transmission over media like internet has become very important these days. Several techniques for enhancing security during image transmission like cryptography, steganography, etc. evolved over a period of time. In all these techniques, the images are converted to a form that is not detectable by the intermediate user except the sender and the authenticated user. Still these techniques have limitations in ensuring security in the transmission of secret images due to several attacks in the channel through which they are transmitted. In this paper, an approach of embedding secret information in a host image is carried out using a method of selecting the room for embedding in an optimal way to make the model robust against attacks. Further, an optimal way of key embedding is carried out on the selected band. The encrypted image obtained during the above mentioned steps is subjected to several attacks and the effected image is decrypted and the results are compared with the original host image with respect to the metrics like Peak Signal to Noise Ratio (PSNR), Mean Squared Error (MSE) and Normalized Cross Correlation (NCC). This proposed method is applied on several images and the above-mentioned metrics are obtained. The proposed approach proves to outperform the conventional LL band selection and LSB Key embedding methods.
A Design Of Eigenvalue Based CNN Tool For Image Retrieval
Authors:   Research Scholar, University College of Engineering and Technology, Acharya Nagarjuna University, Guntur, A.P., P* Ramesh Babu , Reddy Prof. E. Sreenivasa ,   DEAN, University College of Engineering and Technology, Acharya Nagarjuna University, Guntur, A.P.
Published: August 2019

Now there are several methods for retrieving images. TBIR, CBIR and SBIR (Semantic Image Retrieval) are some significant methods among them. We propose in this article an effective CNN tool for image retrieval based on eigenvalues. This work is the expansion as a cyber-forensic tool of our newly suggested CNN-based SBIR scheme. Eigenvalues play a prominent role in apps for image retrieval. Eigenvalues are useful in the measurement and segmentation of an image's sharpness and compression process. In this research we used PCA algorithm to generate eigenvalues with corresponding images from an input image. The generated eigenvalues with corresponding images are trained by AlexNet (A pre-trained deep layer convolution neural network (CNN)). After the training process eigenvalues are given as input to the AlexNet (CNN Tool) and the corresponding images are retrieved based on eigenvalues. We noted that output images based on their eigenvalues are obtained with an outstanding 96.44 percent accuracy due to AlexNet training.
Prototype for Monitoring and Accessing Electricity Usage Details in Cloud using IoT Energy Meter
Authors:   Department of CSE, Aarupadai Veedu Institute of Technology, Vinayaka Mission’s Research Foundation (Deemed to be University), Rajiv Gandhi Salai, Old Mamallapuram Road, Paiyanoor 603104, Kanchipuram (DT), Tamil Nadu, India,, R Jaichandran , Rajaprakash  ,   Department of CSE, Aarupadai Veedu Institute of Technology, Vinayaka Mission’s Research Foundation (Deemed to be University), Rajiv Gandhi Salai, Old Mamallapuram Road, Paiyanoor 603104, Kanchipuram (DT), Tamil Nadu, India., K.L Shunmuganathan ,   principal, Aarupadai Veedu Institute of Technology, Vinayaka Mission’s Research Foundation (Deemed to be University), Rajiv Gandhi Salai, Old Mamallapuram Road, Paiyanoor 603104, Kanchipuram (DT), Tamil Nadu, India,, Kiruthika Usha ,   SRM Institute of Science and Technology, Kattankulathur Campus, Chennai., Tamil Nadu, India., S Muthuselvan ,   Department of CSE, Aarupadai Veedu Institute of Technology, Vinayaka Mission’s Research Foundation (Deemed to be University), Rajiv Gandhi Salai, Old Mamallapuram Road, Paiyanoor 603104, Kanchipuram (DT), Tamil Nadu, India.
Published: August 2019

In this paper we presented a prototype for storing and accessing electricity usage details in cloud using IoT energy meter. Proposed system used energy meter with microcontroller to monitor electricity usage and transmits energy consumed details and cost to server. Users check hourly or daily usage of electricity and their cost online using simple web application. Prototype is experimented to check the electricity consumption details of a class room for five days. Based on Tamil Nadu government electricity board tariff rate for private educational institutions, seven rupees fifty paisa is set as per unit cost for energy used. Results show proposed prototype is effective in monitoring, storing, and accessing electricity usage details in cloud. Energy consumed details and their cost is frequently updated to server and user can access their hourly or daily electricity usage details along with cost in cloud. Proposed system reduces human intervention in monitoring energy meter readings and can save significant amounts of time and money.
Security Using Modified Hierarchical Attribute Based Encryption for Mobile Cloud Computing
Authors:   is currently pursuing M.tech in computer Network Engineering from Dept of CSE at PDACE Kalaburagi, N B* Mahesh , Patil Dr. Rekha ,   M.E, Ph.D Professor, Computer Science and Engineering Department have teaching experience of 26 years.
Published: August 2019

This manuscript is an undertaking to give an improved statistics amassing safety show in Cloud Computing as well as making a put confidence in condition in cloud computing. There is a significant proportion of persuading clarifications behind associations to send cloud-based limit. For another business, start-up expenses are basically reduced in light of the fact that there is no convincing motivation to contribute capital ahead of time for an inside IT structure to support the business. We judge so as to information storing safety in Cloud Computing, a domain overflowing with difficulties and of focal criticalness, is immobile in its soonest arranges currently, as well as various investigation issues be nevertheless to exist recognized. In this manuscript, we investigate the issue of statistics safety in cloud statistics accumulating, to make sure the rightness of clients' data in cloud statistics storing. We projected a Hierarchical Attribute -base safe Outsourcing pro admittance in Cloud computing which in like manner ensures data amassing protection as well as survivability thusly giving trust in condition to the customers. To fight beside unapproved in sequence spillage, receptive information must exist mixed via re-appropriating to offer start to finish information security certification in the cloud as well as past. We include condensed the estimation instance in light of input dimension via executing ECDSA algorithm pro Cryptographically undertakings. Many cloud has are giving administrations to various customers to their information. Because of calamity the executives cloud can be utilized as reliable stockpiling system. For such cloud stockpiles encryption is done numerous far for verifying information. The trait based encryption is the strategy to encode the substance. In like manner we exploit push mail algorithm pro solution exchange among owner as well as customer. It improves the security in the proposed show sufficiently.
Cyber-Infrastructure Connections and Smart Gird Security
Authors:   Department of Computer Science and Engineering, Cybersecurity Awareness Training, Information Technology, India., Mathew Alex R
Published: August 2019

The architecture of the smart grid combines the communication grid and physical power grid in a sole huge network. Smart grid has various security threats like cyber-attacks, physical attacks or natural disasters. The mentioned threats can lead to the breach of the user’s privacy, failure of the infrastructure, energy theft, blackouts endanger the safety of the operators among many more. For this reason, there is need to ensure that the smart grid cyber security is adequate to prevent any of these threats. Adequate security will as well ensure that the smart grid operates adequately as it is viewed that is by providing safe, reliable and uninterrupted supply of power to the consumers with a regular flow of end to end information that are all secure. The smart grid environment will ensure that the electric power infrastructure is modern. This is majorly by combining the present functionalities and the future ones with the upgraded requirements to the users.
Accurate Liver Disease Prediction with Extreme Gradient Boosting
Authors:   Dept. of CSE, Aditya Institute of Technology and Management, Tekkali (A.P),India., Murty Sivala Vishnu , Kumar Dr. R Kiran ,   Dept of Computer Science, Krishna University, Machilipatnam - 521001,( A.P). India
Published: August 2019

Abstract-Machine learning is used extensively in medical diagnosis to predict the existence of diseases. Existing classification algorithms are frequently used for automatic detection of diseases. But most of the times, they do not give 100% accurate results. Boosting techniques are often used in Machine learning to get maximum classification accuracy. Though several boosting techniques are in place but the XGBoost algorithm is doing extremely well for some selected data sets. Building an XGBoost model is simple but improving the model by tuning the parameters is a challenging task. There are many parameters to the XGBoost algorithm and deciding what set of parameters to tune and the ideal values of these parameters is a cumbersome and time taking task. We, in this paper, tuned the XGBoost model for the first time for Liver disease prediction and got 99% accuracy by tuning some of the hyper parameters. It is observed that the model proposed by us exhibited highest classification accuracy compared to all other models built till now by machine learning researchers and some regularly used algorithms like Support Vector Machines (SVM), Naive Bayes (NB), C4.5 Decision tree, Random Belief Networks, Alternating Decision Trees (ADT) experimented by us.
Linear Buckling Analysis of Landing Gear
Authors:   department of mechanical engineering, JSSATE, Noida, India., Chaudhary* Rishabh , Singh Srishti ,   department of mechanical engineering, JSSATE, Noida, India., Saxena Vipul ,   department of mechanical engineering, JSSATE, Noida, India.
Published: August 2019

In an aircraft the landing gear is the most critical system which acts as suspension during landing and take-off. During this, it experiences very large magnitude of impact load which is mostly compressive in nature. Hence, a major concern in this structure is buckling failure. Buckling is a mode of failure in which compressive forces act along the axis of the component. Buckling can cause catastrophic deformation of the component for slight increase in load acting on the body. Many a time buckling is the deciding factor for allowable stress. So, the buckling strength of the material used for landing gear should be sufficiently high enough to resist failure. Good corrosion resistance and low density makes Ti-6Al-4V (also called TC4) the most commonly used material for the landing gear. This paper deals with linear buckling analysis of landing gear and compares the result of three titanium alloys (TC4, Ti-7Al-4Mo, TIMETAL 834) for landing gear. The landing gear assembly is designed in CREO 3.0 and linear buckling analysis is performed in ANSYS 19.2.
Emulating Human Biases and Bounded Rationality and Advances in Ai/Ml
Authors:   Associate Professor, Department of CSE, Chalapathi Institute of Engineering & Technology, India., Prasad* B.V.V.S. , Mukiri Ratna Raju ,   Associate Professor, Department of CSE, St. Ann's College of Engineering and Technology, India.
Published: August 2019

Machine learning, deep learning, as well as artificial intelligence all possess fairly particular meanings, yet are actually commonly extensively made use of to pertain to any type of modern, big-data similar processing method. In this particular respect, it's subject to the inescapable buzz that accompanies real innovations in records processing, which the industry very most surely is appreciating currently. The paper concentrated on even more key questions regarding the interplay between theory and data in attempts to style as well as imitates human habits
Nodal Level Adaptive Security for IOT-Enabled Sensors through Dynamic Reconfigurable Encryption
Authors:   Department of ECE,Saveetha School of Engineering, Saveetha university, Saveetha Nagar, Thandalam,Chennai, TamilNadu, India, Paranthaman* R. Nithya , Dhanasekaran Dr. D. ,   Principal, Department of ECE, Saveetha School of Engineering, Saveetha university, Saveetha Nagar, Thandalam,Chennai, TamilNadu, India.
Published: August 2019

IOT-enabled sensors have been deployed in the wide area to perform various applications. Information security is an important aspect in wireless sensor networks. Since the attackers can be able to hack the information even at the node level, improved security mechanism have to be implemented. In this paper, nodal level security is done through dynamic encryption technique. The advantage of dynamic encryption is achieved by adaptive security. The proposed method involves a system-on-chip (SoC) design to provide a dynamically reconfigurable encryption methodology which leads to improved security level and also the energy efficiency. Dynamic encryption creates the confusion among the hackers about the tracking of security keys. The results shows that by dynamically selecting the encryption module through soft-core processor based on the available power budget, an energy efficient security solution is obtained for sensor nodes with reduced resources utilization.
Bare PCB inspection for Track cut, Track Short and Pad Damage using simple Image Processing Operations
Authors:   ECE Department, VVIET, Mysore, India., B* Anitha D , Rao Mahesh ,   ECE Department, MIT, Mysore, India.
Published: August 2019

In this paper most commonly occurring Bare PCB defects such as Track Cut, Track short and Pad Damages are detected by Image processing techniques. Reference PCB without having any defects is compared with test PCB having defects to identify the defects and x-y coordinates of the center of the defects along with radii are obtained using Difference of Gaussian method and location of the individual type of defects are marked either by similar color or different colors. Result Analysis includes time taken for the inspection of a single defect, multiple similar defects, and multiple different defects. Time taken is ranging from 1.674 to 1.714 seconds if the individual type of defects are marked by different colors and 0.670 to 0.709 seconds if all the identified defects are marked by the same colors.
Effective Usage of Chip Area by Optimizing the Dead Space
Authors:   Electronics and Communication Engineering, LakiReddy Bali Reddy College of Engineering, Mylavaram, INDIA., Mohan* Ganugaphati Venkata Sai , Ganjanaboyina Venkat Rao ,   Assistant Professor, Electronics and Communication Engineering , LakiReddy Bali Reddy College of Engineering, Mylavaram, INDIA
Published: August 2019

In the modern VLSI (Very Large Scale Integration) physical design, floor plan is the main step to optimize the circuit. The objective of floor plan is to optimize the interconnection between modules, area optimization and minimize the dead space. For very deep micron technologies, one of the major issue to design an chip is Dead space in physical design. In this paper, we introduced an algorithm for reducing dead space. This algorithm wrote in tickel programming language and implemented in Cadence Innovas Encounter Tool. By comparing to default algorithm floor plan, this algorithm reduces more dead space in the floor plan stage of the design.
BlackBox Model Based VLSI Hierarchical Floorplanning
Authors:   Electronics and Communication Engineering, LakiReddy Bali Reddy College of Engineering (Autonomous), Mylavaram, Krishna Dt, Andra Prasesh INDIA, Kallam* Rajasekhara Reddy , Gundala Srinivasulu ,   Professor, Electronics and Communication Engineering , LakiReddy Bali Reddy College of Engineering (Autonomous), Mylavaram, Krishna Dt, Andra Prasesh INDIA
Published: August 2019

Nowadays in VLSI number of transistors integrated on a single silicon chip is increasing day by day and the complexity of the design is increases tremendously. This makes very difficult for the designer and EDA tools. As number of instances increases the run time and memory for implementing the design increases. This will make more pressure on the designer because if product is not completed within the time to market company will lost so much of money. Floorplanning is the basic building step for any hierarchical physical design flow. Floorplanning is taking more amount of time in entire design hierarchical flow. If floorplanning is not good the entire design will take more time and it will increase a greater number of iterations to complete the design. In the top-level chip planning the quality of the floorplanning depends on the proper alignment of blocks and easy to meet the timing and congestion. To reduce memory size of CPU and run time, in this project we are using a method of Backbox model based top level hierarchical floorplanning based physical design. The main aim of this project is to reduce the number of instances which are not necessary in the top level chip floor planning which reduces peak memory for the design and also reducing CPU run time for getting proper prototype design in the top level ASIC design and estimate the congestion in the design at initial stage and modify floor planning to obtain quality of prototype model in the floorplanning. This project is designed on cadence encounter tool.
Taxonomy Proposal for Research on Reversible Logic
Authors:   Dept. of Information Technology, Techno International New Town, Kolkata, West Bengal, India, Sultana Mahamuda , Sengupta* Diganta ,   Dept. of Computer Science and Engineering, Techno International Batanagar, Kolkata, West Bengal, India., Chaudhuri Atal ,   Vice-Chancellor, Veer Surendra Sai University of Technology, Sambalpur, Odisha, India
Published: August 2019

Reversible Logic has become a topic of interest among global researchers for its heat arresting attribute, the very reason for which CMOS devices are witnessing performance thresholds. Within a decade of substantial growth, reversible logic is quoted as one of the valued emerging technologies. The growth of research in this domain has exhibited enormous volumes of research publications. Searching the perfect published article of interest among the plethora of publications demand an enormous amount of literature study and hence is highly time-consuming. After accessing a substantial amount of articles, only a very few tend to address our needs. Hence, we propose a taxonomy for research on reversible logic in this paper which concentrates articles of relevant/similar nature into nodes so that researchers can get a first-hand reference for their choice of interest. Knowledge of pre-requisites for gaining insights into a particular domain also mandates a thorough amount of literature survey. Our taxonomy takes care of those issues by concentrating the nodes into a tree-like structure thereby providing the pre-requisite (parent node) for the node of interest (child node). For generating the taxonomy, we have used the Cosine Similarity function for measuring the distance between two author keywords. The taxonomy proposal in this paper will serve upcoming researchers in getting references for their choice of the domain rather than a comprehensive survey of the higher magnitude of published data. Researchers pursuing research in a certain domain too will benefit from the taxonomy.
Building a Competency Model Student Training
Authors:   Department of Business-economics and Tourism, Kyiv National University of Technology and Design, Kyiv, Ukraine., Olshanska* Oleksandra , Gumennykova Tamara ,   Department of Social Sciences, Prydunai Branch of Private joint-stock company “Higher educational institution “Interregional Academy of Personnel Management” Izmail, Ukraine., Bila Olena ,   Department of Pedagogy, Preschool, Elementary and Special Education, Izmail State University of Humanities, Izmail, Ukraine., Orel Volodymyr ,   Department of Production, Business and Management Organization, Kharkiv Petro Vasylenko National Technical University of Agriculture, Kharkiv, Ukraine., Perova Svitlana ,   Translation Studies Department, State Institution "Luhansk Taras Shevchenko State University", Starobilsk, Luhansk region, Ukraine., Ivannikova Maryna ,   Marketing Department, Poltava University of Economics and Trade, Poltava, Ukraine.
Published: August 2019

Decision-making in the field of education is a complex, multi-faceted process, in which a large circle of stakeholders is involved. Of no small importance for making a correct decision is the analysis of information coming from participants in the educational process at its various stages. The article proposes a methodology for constructing and applying a competency-based training direction model. The technique is based on the use of developed algorithms for building competency models. Due to the use of the Bayesian network, an assessment of the formation of the level of competence is possible even with missing data, i.e. with unknown results of competency-based tasks. The technique bridges the gap between strictly subject structuring of assessment tools, which does not fully correspond to the competency-building model of constructing the main educational program, and activity-based structuring. The article describes the conduct of two experiments conducted to verify the algorithms proposed in the theoretical part. Experimental testing showed that the developed algorithms, method and methodology are suitable for constructing a competency-based model of discipline and the direction of training. The models built according to the methodology, make it possible to make informed judgments regarding the level of students' competency levelling, as well as to predict student performance. Thus, using the methods of intellectual analysis of educational data, the tasks of decision support are solved.
KAJIAN TEORI PENYELESAIAN MASALAH JARAK DAN SUDUT PADA BANGUN RUANG DIMENSI TIGA MENGGUNAKAN PENDEKATAN VEKTOR
Authors: Rahadi Andi Pujo
Published: August 2019

Materi utama dalam bab Geometri Dimensi Tiga di tingkat SMA/MA adalah penghitungan jarak dan sudut antara unsur-unsur ruang, yaitu titik, garis, dan bidang. Sedangkan materi yang dibahas dalam bab Vektor meliputi: penambahan, perkalian titik, perkalian silang, dan proyeksi orthogonal. Penulis mengamati bahwa dua bab tersebut direspon secara berbeda oleh siswa SMA/MA. Masalah jarak dan sudut pada bangun ruang dimensi tiga merupakan masalah yang dirasakan sulit oleh mayoritas siswa SMA . Di sisi lain, konsep dan rumus-rumus vektor relatif lebih mudah dipahami. Adapun kesulitan yang dirasakan siswa ketika menghadapi masalah jarak atau sudut dimensi tiga adalah kesulitan spasial. Artinya, siswa seringkali tidak berhasil membayangkan secara tepat posisi bidang-bidang, garis-garis, maupun titik-titik yang perlu dihitung jarak atau sudutnya. Dalam paper ini, akan dikembangkan suatu pendekatan vektor untuk menyelesaikan masalah jarak dan sudut pada bangun ruang dimensi tiga, baik itu kubus, balok, maupun limas. Dengan menggunakan pendekatan vektor, diharapkan siswa dapat lebih mudah memahami konsep ruang dimensi tiga dan mampu lebih cepat dalam menyelesaikan penghitungan jarak maupun sudut.Kata kunci : Geometri, Bangun Ruang, Dimensi Tiga, Vektor, Jarak, Sudut.
PENGETAHUAN IBU HAMIL TENTANG POSISI HUBUNGAN SEKSUAL PADA MASA KEHAMILAN
Authors: Noviani Ni Wayan , Sari Suindani Ni Komang
Published: August 2019

Abstract: Knowledge of Pregnant Women About Sexual Relations Position During Pregnancy. The purpose of this study was to determine the knowledge of pregnant women about the position of sexual relations during pregnancy in BPM Wahidah, S.ST Year 2017. This research type is descriptive research with cross sectional approach by using accidental sampling technique. The population of this study were pregnant women who did the examination in BPM Wahidah, S.ST. The number of samples is 50 respondents who meet the inclusion criteria. This research started from 6-21 february 2017. The result showed that pregnant woman's knowledge about the position of sexual relationship during pregnancy was mostly (54%) knowledgeable enough. A small percentage of respondents aged 20-35 years ie 11 people (22%) have enough knowledge, from the work showed that almost half of respondents ie 23 people (46%) who do not work have enough knowledge, from education showed that almost half of respondents or 16 people (32%) who have medium education have enough knowledge, and from parity shows that almost half of respondents are 14 people (28%) who are multiparous have enough knowledge.

 

Abstrak : Pengetahuan Ibu Hamil Tentang Posisi Hubungan Seksual Pada Masa Kehamilan. Tujuan penelitian ini adalah untuk mengetahui pengetahuan ibu hamil tentang posisi hubungan seksual pada masa kehamilan di BPM Wahidah, S.ST Tahun 2017. Jenis penelitian ini adalah penelitian deskriptif dengan pendekatan cross sectional dengan menggunakan teknik accidental sampling. Populasi penelitian ini adalah ibu hamil yang melakukan pemeriksaan di BPM Wahidah, S.ST.Jumlah sampel sebanyak 50 responden yang memenuhi criteria inklusi.Penelitian ini dimulai dari tanggal 6-21 februari 2017. Hasil penelitian menunjukkan bahwa pengetahuan ibu hamil tentang posisi hubungan seksual pada masa kehamilan sebagian besar (54%) berpengetahuan cukup. sebagian kecil responden umur 20-35 tahun yaitu 11 orang (22%) memiliki pengetahuan cukup, dari pekerjaan menunjukkan bahwa hampir setengahnya responden yaitu 23 orang (46%) yang tidak bekerja memiliki pengetahuan cukup, dari pendidikan menunjukkan bahwa hampir setengahnya responden atau 16 orang (32%) yang berpendidikan menengah mempunyai pengetahuan cukup, dan dari paritas menunjukkan bahwa hampir setengahnya responden yaitu 14 orang (28%) yang multipara memiliki pengetahuan cukup.
SURVEI RENCANA PEMAKAIAN METODE KB PASCA PERSALINAN PADA IBU HAMIL TRIMESTER III
Authors: Rai Widiastuti Ni Made , MAHAYANI NI KADEK PEMUDI , MAHAYANI NI KADEK PEMUDI
Published: August 2019

Abstract: Suvey Plan of Use of Contraceptive Method After Delivery in Pregnant Woman of Third Semester. This research is aimed to know the plan of contraseption  after delivery in third trimester pregnant woman at Puskesmas Pembantu Dauh Puri. Cross sectional study was performed on third trimester pregnant women with total number of 63 people and wasconsecutive sampling. Data was collected by interview using structured questionnaire. The results showed that most of 33 respondents (52.4%) did not have plan for the use of postnatal constraseption after delivery.

 

Abstrak: Survei Rencana Pemakaian Metode KB Pasca Persalinan Pada Ibu Hamil Trimester III. Penelitian ini bertujuan untuk Mengetahui rencana pemakaian KB pasca persalinan pada ibu hamil trimester III di Puskesmas Pembantu Dauh Puri. Penelitian cross sectional dilakukan pada ibu hamil trimester III dengan jumlah sebanyak 63 orang dan dipilih secara consecutive sampling. Data dikumpulkan dengan wawancara menggunakan kuesioner terstruktur. Hasil penelitian menunjukkan sebagian besar yaitu sebanyak 33 responden (52,4%) tidak mempunyai rencana pemakaian metode KB pasca persalinan. 
HUBUNGAN PENGETAHUAN REMAJA PUTRI TENTANG VAKSINASI HPV DENGAN SIKAP DALAM PENCEGAHAN KANKER SERVIKS DI SMA NEGERI I DENPASAR TAHUN 2018
Authors: Noviani Ni Wayan , Dewi Kadek Sintya
Published: August 2019

Abstract : The Correlation Of Female Adolescence’s Knowledge About HPV Vaccination With Attitude In Prevention Of Cervix Cancer.This research has purpose to find out the Correlation of Female Adolescence Knowledge about HPV (Human Papilloma Virus) Vaccinatiion with Attitude in Prevention of Cervix Cancer carried out at SMA Negeri 1 denpasar on the date of 6th january 2018 during one day. Research type used in this research is analytic by using cross sectional approach that is by collecting variable of every object that is done only once.  This research uses the probability sampling method by probability sampling technique.  Sample in this research are the female students of Grade XI at SMA Negeri 1 Denpasar for 71 respondents. Research result shows that it is obtained that mostly which is for 42 respondents (59.2%) have good knowledge and mostly for 56 respondents (78.9%) have good attitude or positive. Therefore, there is significant correlation with strong correlation rate between the female adolescence’s knowledge about HPV vaccination and attitude in cervix cancer prevention. The correlation coefficient value is 0.644 with probability p = 0.001<0.05.

 

                                                 

Abstrak : Hubungan Pengetahuan Remaja Putri Tentang Vaksinasi HPV Dengan Sikap Dalam Pencegahan Kanker Serviks. Penelitian ini bertujuan untuk mengetahui Hubungan Pengetahuan Remaja Putri tentang Vaksinasi HPV (Human Papilloma Virus) dengan Sikap dalam Pencegahan Kanker Serviks yang dilaksanakan di SMA Negeri 1 Denpasar pada tanggal 6 Januari 2018 selama satu hari. Jenis penelitian yang digunakan dalam penelitian ini adalah analitik dengan menggunakan pendekatan cross sectionalyaitu pengumpulan variabel setiap objek dilakukan satu kali saja. Penelitian ini menggunakan metode probability samplingdengan teknik simple random sampling. Sampel dalam penelitian ini adalah siswi kelas XI di SMA Negeri 1 Denpasar sejumlah 71 responden. Hasil penelitian menunjukkan bahwa didapatkan sebagian besar yaitu sebanyak 42 responden (59,2%) memiliki pengetahuan baik dan sebagian besar sebanyak 56 responden (78,9%) memiliki sikap baik atau positif. Sehingga ada hubungan signifikan dengan tingkat korelasi kuat antara pengetahuan remaja putri tentang vaksinasi HPV dengan sikap dalam pencegahan kanker serviks. Nilai koefisien korelasinya sebesar 0,644 dengan nilai probabilitasnya sebesar p = 0,001<0,05.

 

Kata Kunci:Pengetahuan, Remaja Putri, Vaksinasi HPV, Sikap, Kanker Serviks
Criptococosis diseminada en anciano con VIH
Authors: Díaz Ricardo , Escobar Ana María , Posada Alfredo
Published: August 2019

Se presenta un paciente masculino de 79 años con un cuadro clínico de síntomas constitucionales, asociado a pleuresía linfocítica, meningitis e hidrocefalia, confirmándose posteriormente criptococosis diseminada y VIH-SIDA, con complicaciones asociadas a la terapia con anfotericina B y desenlace fatal. La criptococosis es una de las infecciones más frecuentes del SNC en pacientes con VIH y se han identificado varios factores que confieren mal pronóstico. En infección por VIH, se considera paciente “anciano” a aquellos mayores de 50 años. En general las características clínicas son similares a los pacientes más jóvenes, pero los adultos mayores, especialmente después de 65 años de edad, tienen más probabilidad de desarrollar SIDA en uno a tres años, mayor riesgo de diseminación de infecciones oportunistas y mayor mortalidad. En Colombia para el año 2007, según registros del Ministerio de Protección Social, había 5283 personas con SIDA mayores de 45 años
El sistema cerrado en la prevención de las infecciones del torrente sanguíneo
Authors: Álvarez-Moreno Carlos , Beer Idal , Cifuentes Luis Fernando
Published: August 2019

Los pacientes hospitalizados están en continuo riesgo de infecciones del torrente sanguíneo (ITS), especialmente en las unidades de cuidado intensivo (UCI). Las ITS constituyen 14% de las infecciones nosocomiales (IN) y representan casi un tercio de las muertes asociadas con IN. Es así que se han establecido pautas de prevención y protocolos de manejo para reducir el impacto de las ITS asociadas a catéteres (CR). Entre ellas están las diferencias entre contenedores de infusión intravenosa (IV). Los de infusión abierto necesitan la introducción de aire para su vaciamiento. Los de infusión cerrado son contenedores colapsables que no requieren aire para su vaciamiento. En conclusión, en la era de la seguridad del paciente se hace necesario que los sistemas de salud propendan por hacer los cambios en la tecnología que redundan en una mejor atención y que muchas veces son costo/efectivas
Literatura e memória em Luandino Vieira e Mia Couto
Authors: Diniz da Silva Fernanda Maria
Published: August 2019

RESUMO: Este trabalho busca analisar os textos “Estória do ladrão e do papagaio”, de José Luandino Vieira e “O apocalipse privado do tio Geguê”, de Mia Couto, a partir do estudo das representações da memória, entendendo memória como registro do vivido, preservação de imagens e reconstrução da experiência humana. Assim, é de nosso interesse verificar como a memória é trabalhada nas obras dos dois escritores. Para orientação da nossa análise, o método de procedimento utilizado será o comparativo. O trabalho terá como fundamentação teórica as contribuições de estudiosos como Jacques Le Goff, Boaventura de Sousa Santos e Vima Lia Martin. PALAVRAS-CHAVE: Mia Couto. Luandino Vieira. Memória
O vício aristotélico em A demanda do Santo Graal
Authors: Sodré Paulo Roberto , Schimid Vanessa Annecchini
Published: August 2019

Considerando que as ideias sobre ética de Aristóteles foram, por vezes, apropriadas em forma de glosa cristianizada por autores medievais, investiga traços da concepção de vícios e de virtudes, à luz dos ensinamentos do estagirita, na construção do personagem Galvam em A demanda do Santo Graal, novela de cavalaria traduzida para o português no século XIII, a partir de um manuscrito francês perdido. O foco da análise sobre Galvam se justifica pelo fato de ser ele um cavaleiro cujo destaque na novela é notório por seus atos de vilania, sem, contudo, abranger todos os conceitos propostos por Aristóteles, em sua Ética a Nicômaco. Discute, a partir de alguns episódios da novela, como as ações viciosas do personagem se opõem às proposições aristotélicas de virtude. Tais análises se darão a fim de corroborar os estudos sobre a ideia de que o ato virtuoso ou vicioso compreende a vontade do agente, que, portanto, é livre para deliberar a respeito de suas ações.
Pelatihan dan Pendampingan Penulisan Karya Ilmiah Remaja bagi Siswa/i SMA/Sederajat di Kecamatan Muara Jawa, Kabupaten Kutai Kartanegara
Authors: Pratama Ryan Angga , Casmudi Casmudi
Published: August 2019

Many schools only provide intensive mentoring or guidance if there is an agenda to take part in the competition to write scientific papers. But not a few who did not hold these activities, so students did not participate in the competition writing scientific papers. During this time the assistance in facing scientific writing competition was only focused on the problem of writing patterns and content of students' scientific writing. The accompanying teacher mostly corrects the writing and then agrees to be included in the competition. In addition, students' interest in participating in these competitions is also very minimal. For this reason, the need for the provision of Training and Mentoring for Youth Scientific Writing for Students of the High School / Equivalent in Muara Jawa District, Kutai Kartanegara Regency. The results obtained were from 9 groups of students formed during the activity, only 1 group was still conducting consultation and assistance online via email. This shows that students' interest is still lacking and this is a service evaluation so that in the future they can provide more time in activities like this.

Keywords: youth scientific writing, training