bluuebunny/crossref_metadata_2025 huggingface dataset:
FUNdamental Developments in the Undergraduate Organic Chemistry Laboratory
Authors: Snowdon Monika R.
Published: January 2020

The undergraduate lab for organic chemistry varies from campus to campus. However, the consensus from students does less so. In general, organic chemistry is one of the most daunting courses for science undergraduate students, and the content presented in the corresponding laboratories of these courses can be equally difficult. There has been a shift towards modifying the content of the organic chemistry lab to make it an improved learning experience for the students, such that schools are graduating better chemists, as ultimately, the students are retaining the skills and information more efficiently. This study reviews some of the past decade's improvements towards modifying the organic chemistry undergraduate lab experience to make organic synthesis a more engaging and interesting topic for students.
Enamel microstructure at wedge-shaped defects of class I and II
Authors: Gazhva S.I. , Yakubova E.Yu. , Ayvazyan V.V. , Gazhva Yu.V.
Published: January 2020

The article is devoted to the influence of «self-made dezomorhine» on pyo-inflammatory disease of maxillofacial area. This project is topical in Russian Federation, because the quantity of drug addicts grows every year. Maxillofacial area is a high-risk zone for development of inflammatory process due to the high probability of the chronic odontogenic center of infection and because of special aspects of blood supply and innervation of this area. Special attention must be payed to the jaws osteonecrosis of the jaws, which develop after «self-made dezomorhine» ingestion. Dezomorhine is a narcotic analgesic, which is banned in Russian Federation. From 2008 to 2014 there was conducted the treatment of 84 patients from age19 to 55 years of both sexes with local and diffuse osteonecrosis of the jaws, which began after «self-made dezomorhine» in department of maxillofacial surgery of Astrakhan Aleksandro-Mariinskaya Regional Clinic Hospital, 2 patients of the whole number of operated patients died because of the overdose of drugs. One patient died due to the septic accident during the period of monitoring. It was found because a result of retrospective analysis post evaluation procedures make it possible to affirm, that if the operation was performed in the course of 6 months after the intermission of taking drugs, the necrotic process usually extends to nearby areas of the jaws after the implementing of the necroectomy. The best results of the treatment were achieved when patients applied for hospital treatment after 6 to 12 months following the intermission of taking of «self-made dezomorphine». The article deals with 2 medical cases, illustrated by X-Ray pictures and clinic photos. 205 operations were performed by the 6 years’ experience of the treatment of 84 patients with «dezomorphinic» osteonecrosis of the jaws and it enables us make a conclusion, that classic surgeon treatment is the most preferable variant. The classic treatment includes surgery after the appearance of demarcation zone and sequesters organization. The detoxication therapy, immune-enhancing therapy, anemia treatment and usage of antibiotics are the important parts of the treatment, as well as the antibiotic use. Provided the specific microflora and typical status of immune system phenomenon occurred in the process of complex treatment of «dezomorphinic» necrosis of the jaws, we, applied a course of semisynthetic macrolides. We mostly applied Roxithromycinum in a dose of 150 mg in tab. 2 b.d.s. with the interval of 12 hours; period of treatment lasts 5 days. Rational antibiotic treatment allows prognosticating a successful result of the treatment of «dezomorphinic» osteonecrosis of the jaws.
Technological Advances in Japan’s High-Rise Buildings
Authors: Szołomicki Jerzy , Golasz-Szołomicka Hanna
Published: January 2020

The architectural and structural analysis of selected high-rise buildings in Japan is presented in this paper. Tokyo, Osaka and Nagoya have the largest share in development of high-rise buildings. Those cities are very densely populated and moreover they are located in one of the most active seismic zones. The combination of these factors has resulted in the creation of sophisticated designs and innovative engineering solutions, especially in the field of design and construction of high-rise buildings. The foreign architectural studios (Jean Nouvel, Kohn Pedesen Associates, Skidmore, Owings & Merrill) which specialize in the designing of skyscrapers, played a major role in the development of technological ideas and architectural forms for such extraordinary engineering structures. Among the projects completed by them, there are examples of high-rise buildings that set precedents for future development. An essential aspect which influences the design of high-rise buildings is the necessity to take into consideration their dynamic reaction to earthquakes and counteracting wind vortices. The need to control motions of these buildings, induced by the force coming from earthquakes and wind, led to the development of various methods and devices for dissipating energy during such phenomena. Currently, Japan is a global leader in seismic technologies which safeguard seismic influence on high-rise structures. Due to these achievements the most modern skyscrapers in Japan are able to withstand earthquakes with a magnitude of over seven degrees at the Richter scale. Applied damping devices applied are of a passive type, which do not require additional power supply or active type which need the input of extra energy. In recent years also hybrid dampers were used, with an additional active element to improve the efficiency of passive damping.
The impact of artistic circles on the way of using and arrangement apartments in multi-family residential buildings in Poland in the 1950s and 1960s
Authors: Kruk Marta
Published: January 2020

This article (part I) presents the activities of artistic circles - architects - and their impact on the ways of using and arrangement of the living area. The way of using apartment is understood as:1) The way of arranging basic living functions by inhabitants (sleeping, resting, preparing and eating meals, receiving guests, studying, personal hygiene);2) The relationships between inhabitants and an apartment dependent on education, occupational structure, origin, life style, inherited cultural patterns, fashion as well as a group of physical characteristics and apartment attributes);3) The rights of family members to use the apartment space, including the right to intimacy and having own private space, as well as the representative needs.The aim of this article is to show the evolution of design thinking in the field of functional and spatial layouts of apartments and indicating the main trends of these changes. The selected functional layouts of apartments (including the remarks of the author of the design), representative of the given period of time, have been analyzed with respect to social and political conditions. In summary, the most important tendencies, which may be observed in respect of discussed changes, have been indicated. These include: expanding the living-room area of the apartment by designing a kitchen closer to the living-room or even combining a kitchen with a living -room; the differentiated approach to the issues of creating sleeping areas due to the understanding of children’s individual needs to have their own living space; the concern to upgrade the quality of hygiene in an apartment - by creating separate restrooms and designing bathrooms with a space for a washing machine.
Gambaran Penderita Infeksi Mata di Rumah Sakit Mata Manado Provinsi Sulawesi Utara Periode Juni 2017 - Juni 2019
Authors: Tehamen Miranda , Rares Laya , Supit Wenny
Published: January 2020

Abstract: Eye infections are caused by viruses, bacteria, fungi, or parasites. Infections can be marked with red eyes, painful, watery, and light sensitive. This study was aimed to obtain the profile of eye infections in Rumah Sakit Mata Provinsi Sulawesi Utara (eye hospital) from July 2017 to June 2019. This was a retrospective and descriptive study using data of medical records at Rumah Sakit Mata Provinsi Sulawesi Utara. The results showed that there were 546 eye infection patients, and the most frequent eye infection was conjunctivitis (231 patients ~ 42.31%). Female patients were predominant than males (53.85% vs 46.15%). Based on occupation, housewifery was the most frequent occupation related to eye infections (110 patients ~ 20.15%). Based on age, eye infections mostly occured in the category of age 36-45 years (98 patients ~ 17.95%). Most patients’ complaint was red eye (295 patients ~ 54.03%). Based on location, eye infections mostly occured unilaterally (364 patients ~ 66.67%). In conclusion, eye infection patients were mostly females, at age of 36-45 years, housewifery, had red eye complaint, and located on unilateral side.Keywords: prevalence of eye infections Abstrak: Infeksi mata adalah penyakit yang terjadi akibat virus, bakteri, jamur atau parasit. Infeksi mata dapat ditandai dengan mata merah, terasa sakit, berair dan peka terhadap cahaya. Penelitian ini bertujuan untuk mengetahui gambaran penderita infeksi mata di Rumah Sakit Mata Provinsi Sulawesi Utara periode Juni 2017-Juni 2019. Jenis penelitian ialah deskriptif retrospektif menggunakan data rekam medik Rumah Sakit Mata Provinsi Sulawesi Utara. Hasil penelitian mendapatkan 546 pasien infeksi mata dan jenis infeksi mata yang terbanyak ialah konjungtivitis yaitu 231 pasien (42,31%). Pasien berjenis kelamin perempuan lebih banyak dibandingkan dengan jenis kelamin laki-laki (53,85% vs 46,15%). Berdasarkan pekerjaan, didominasi oleh pekerjaan sebagai ibu rumah tangga/IRT (110 pasien ~ 20,15%). Berdasarkan usia, terbanyak pada kategori usia 36-45 tahun (98 pasien ~ 17,95%). Berdasarkan keluhan yang dialami pasien didapatkan keluhan terbanyak ialah mata merah (295 pasien ~ 54,03%) dan berda-sarkan lokasi didapatkan terbanyak pada sisi unilateral mata (364 pasien ~ 66,67%). Simpulan penelitian ini ialah penderita infeksi mata terbanyak pada perempuan, usia 36-45 tahun, didominasi pekerjaan sebagai IRT, dengan keluhan mata merah, dan terdapat pada lokasi sisi unilateral.Kata kunci: prevalensi infeksi mata
3337 Published By: Blue Eyes Intelligence Engineering & Sciences Publication Retrieval Number: A4139119119/2019©BEIESP DOI: 10.35940/ijitee.A4139.129219 Journal Website: www.ijitee.org Mathematical Modelling of Diabetic Retinopathy in Eyes based on Lacunarity
Authors:   Reasearch Scholar, Department of Mathematics, VELS Institute of Science, Technology & Advanced Studies, Chennai-600 117, Tamil Nadu, India., Kumar* G.Jagan , Jayalalitha G. ,   Professor, Department of Mathematics, VELS Institute of Science, Technology & Advanced Studies, Chennai-600 117, Tamil Nadu, India.
Published: January 2020

In this paper, the contribution of fractals in diagnostic of the diabetic retinopathy is calculated Non-Invasive method. Fractal dimension such as Box-counting Method is calculated for few samples like Normal and Abnormal images. Gaps are formed between the retina vessels its analysis by Lacunarity. When the Lacunarity increases then dimension also increases. Based on Mathematical Model to prediction of incidence causes in for Diabetic Retinopathy. This research shows that effectiveness and cost-effectiveness of Mathematical Models to define the incidence of Diabetic Retinopathy in diabetic communities. From the dimension and models gives the fruitful result in Diabetic Retinopathy and helpful ophthalmologist that can be determined the diagnose of the Eyes.
Effect of Filling Ratio on Thermal Characteristics and Performance of a Pulsating Heat Pipe
Authors:   Asst. Prof. &Research Scholar JNTUCEH, Department of Mechanical Engineering, GRIET, Hyderabad, Telangana, India., Suresh* J.Venkata , Bhramara Dr.P. ,   Professor, Department of Mechanical Engineering, JNTU College of Engineering, Hyderabad,Telangana, India., Navaneeth CH. ,   M.Tech (Thermal Engineering) Student, Department of Mechanical Engineering, GRIET, Hyderabad, Telangana, India.
Published: January 2020

Pulsating heat pipes are complex devices for heat transfer and their optimal thermal performance depends mainly on different parameters. This work is about the thermal efficiency of a closed-loop oscillating heat pipe with a diameter of 2.0 mm and 3.0 copper tube inner and outer. For all experiments, the filling ratio (FR) was used 40%, 50 %,70%,80% and heat inputs of 20W, 40W, 60W, and 80W was provided to PHP. The position of the PHP was vertical bottom heat type. The length of evaporator, adiabatic and condenser section was maintained 52 mm,170mm,60mm. Water and benzene were selected as working fluids. From the available literature it is observed that working fluid and filling ratio are key factors in PHP's performance. The results show that the thermal resistance decreases rapidly with the increase in the heat input to 20 to 40 W., while it decreases gradually over 40 to 80W.Simulation is done in CFD and experimental data were equated to the results.
Backtracking based Joint-Sparse Signal Recovery for Distributed Compressive Sensing
Authors:   School of Electronics Engineering (SENSE), Vellore Institute of Technology, Chennai (Tamil Nadu), India, Murali Srinidhi , Narayanan* Sathiya ,   School of Electronics Engineering (SENSE), Vellore Institute of Technology, Chennai (Tamil Nadu), India, D R L Prasanna ,   Department of Information Technology, Vasavi College of Engineering, Hyderabad (Telangana), India, Anbarasi L Jani ,   School of Computing Science and Engineering (SCSE), Vellore Institute of Technology, Chennai (Tamil Nadu), India
Published: January 2020

In Distributed Compressive Sensing (DCS), the Joint Sparsity Model (JSM) refers to an ensemble of signals being jointly sparse. In [4], a joint reconstruction scheme was proposed using a single linear program. However, for reconstruction of any individual sparse signal using that scheme, the computational complexity is high. In this paper, we propose a dual-sparse signal reconstruction method. In the proposed method, if one signal is known apriori, then any other signal in the ensemble can be efficiently estimated using the proposed method, exploiting the dual-sparsity. Simulation results show that the proposed method provides fast and efficient recovery.
Power Electronic Transformer based IGBT Converters for Electric Locomotive Applications
Authors:   Research Scholar, Department of Electrical & Electronics Engineering, Sri Ramakrishna Engineering College, Chennai, India., Paul* Sachin Gee , Ravichandran Dr. CS ,   Professor, Department of Electrical & Electronics Engineering, Sri Ramakrishna Engineering College, Coimbatore, India.
Published: January 2020

Electric locomotives up gradation is one of fastest growing technology on railway research. Modern locomotive traction drives operate for high speed rail networks. This paper proposes locomotive drives directly from the mains without line frequency locomotive transformer. Power electronic transformers (PETs) offer the advantage of the reduction in size and weight compared to conventional line frequency transformers. In this article discussed about high power converter using IGBT with high-frequency transformer for electric locomotives is utilized for the power converter side. The catenary feeding front end of the locomotive is connected directly to IGBT based cascade H bridge converter and conventional IGBT based three phase inverter act as load end converter for driving induction motor. The MATLAB simulation results of PET based high frequency transformer with IGBT power converter integrated with traction inverter has justified .
Approximate Reverse Carry Propagate Adder for Energy-Efficiency
Authors:   Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram (A.P), India., Rao* I. Veeraraghava , M Aditya ,   Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram (A.P), India., Priyanka K Sai ,   Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram (A.P), India., Rahul S. Sai ,   Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram (A.P), India., Reddy P Sathwik ,   Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram (A.P), India.
Published: January 2020

The hypothesis of estimated measure is to design computation quality for computation efforts. The Approximate full adders (AFA’s) are the lead objective to reduce the length of carry propagation which is put through to the slightest error rate. Approximate adder comes up with important enhancement in delay, area and power. The developing attribute is carry doesn't propagate in it. So in this we mainly use the hybrid adders where it utilizes the RCPFA. The approximate adder generates the input carry from higher bit to lower bit to produce carry output, , the weight of the carry reduces when it generates. In Reverse Carry Propagate Adder there are accomplishments to be completed those are the power, delay and energy. So, compared to the conventional ones the Approximate Mirror Adders (AMA's) has less transistors compared to it. This is to establish on the internal structure of the mirror adder which consumes less area and power consumption as well as higher speed. The representation performed by the RCPFA and hybrid adders is observed and compared using Mentor Graphics. As a result, it consists of higher accuracies and specifies that, by working on the RCPFA in the hybrid adders can consists of improved consumption of area by 14%, consumption of power by 19.2%, consumption of delay by 27%.
Optimal Method for Identification of Cracks in Different Beams using Fuzzy with Elephant Based Neural Network
Authors:   Research Scholar, Mechanical Engineering Department, Andhra University, Visakhapatnam, India., Pitchaiah* Dasaripalli. , Rao Dr. Putti Srinivasa ,   Professor of Mechanical Engineering, Andhra University College of Engineering, Andhra University, Visakhapatnam, India.
Published: January 2020

Failure of Structures i.e., beams can be avoided by identifying the damage in the structure at its beginning and proper retrofitting. Recently, the researchers created a structure to recognize crack damage using a cracked beam component model that originates from the fracture mechanics and local flexibility rules. The present work exhibits the analysis of cracked beam with a machine learning model to assess the stiffness of the structure. Here Fuzzy Optimal Neural Network (FONN) is considered, in addition, the stiffness reduction technique, especially concerning thick beams, is featured with a survey of other crack models. The extricated model data are utilized to conversely recognize the cracks with the cracked beam component model through a model updating technique. The optimal Neural Network based stiffness computation utilizes a global searching procedure using Adaptive Elephant Herding Optimization (AEHO) to identify the number of cracks in various beams. From the proposed model, the attained results are compared with the existing research work, and other optimization and machine learning models.
Routing Methodology for Secure Transmission of data in Physical Layer
Authors:   Assistant Professor, Electronics and Instrumentation Department, VNR VIGNANA JYOTHI Institute of Engineering And Technology at Hyderabad, Vandana* S. , Madhavi T. ,   Professor, Electronics and Communication, Department in GITAM Institute of Engineering And Technology at Vishakapatnam.
Published: January 2020

The difficulties of privacy and security in WANETs have taken on a step by step more vital responsibility as those networks persist to increase their role globally. Historically, physical layer is regarded as biased function addressed below the security, and all broadly used cryptographic protocols like Rivest-Shamir–adlemen, Advanced encryption standard and Data Encryption standard are developed and applied assuming an error-free physical layer already exists . Contrasting the traditional cryptography hwhich neglects distinction among the communication channels, the current physical layer safety accomplish data protection using well designing channel code consistent with the channel capacities assuming that the authentic data can never be recovered. The standard system protection makes use of encryption and deciphering activities inside the application layer. Under any circumstances, this won't just construct the computational overhead of system. There's no actual way to avoid eavesdropper listening in and assault from the physical layer. Addressing this problem, this paper proposes a basic system model in which the cooperative relay broadcast channel with the user cooperation is introduced and the overall performance metrics based on the physical layer safety can viably enhance the system protection limit.
A Multilayer High-Speed Magnetic-Tunnel-Junction Magneto-resistive RAM Structure with Read-Disturb-Detection Circuit by Using Nano-Electronics Quantum Dot Cellular Method
Authors:   ETCE. Jakir Hossain Institute of Polytechnic, Murshidabad, W.B, India., Roy* Rupsa , Sarkar Swarup ,   EC department, Sikkim Manipal University, Sikkim, India., Das Sudipta ,   Department of ECE, IMPS College of Engineering & Technology, Malda, W.B, India.
Published: January 2020

In this nano technical world the “Complementary MOS technology” can be replaced by using “Quantum Dot Cellular Automata” with reversible logical phenomenon to achieve a fault tolerant, low-cost nano electronics formation by feature size, latency and power consumption minimization. The memory is one of the most interesting part of research in this digital world. This paper represents an optimizing high-frequency (in THz) reversible design of a “Random Access Memory” which is simulated by using nano electronics ‘QCA’ simulator to get a better performance than “Complementary MOS technology” with high frequency (in THz), less occupied area and dissipated power. This paper also shows a highly-flexible magnetic quantum cell logic-design and MTJ logical representation which is used for non-volatile MRAM which is widely used in digital electronics world and as a part of aerospace and military device. A reversible nano electronics formation of the control logic to select the word-line and input-line of the MRAM also presented here. The reversible-logic can avoid the information-loss in memory device by zero-heating technique. Non-reversible formations dissipate ‘KTln2’ energy per bit which can be ignored in reversible formation. But, read disturb at low write current is a major issue of MTJ MRAM due to the same path of read/write current path. In this paper a three dimension reversible “Read Disturb Detection Circuit” is formed by nano electronics ‘QCA’ technology which bit-wise follows the control logic of read-disturb-detection technique and the same figure also simulated by ‘VHDL’ coding in Xilinx software to prove the advantages of ‘QCA’ technology contrast to Xilinx This paper also focuses on the correspondence between change of temperature and supply power.
Role of Big Data in Agriculture
Authors:   Research Scholar, Department of Computer Science and Engineering, B.M.S. College of Engineering, Bangalore, India., J* Madhuri , M Indiramma ,   Professor, Department of Computer Science and Engineering, B.M.S. College of Engineering, Bangalore, India.
Published: January 2020

Big Data analytics in the agricultural sector has huge potential to cater to requirements of food production. This review highlights the role of Big Data in pertinent data acquisition from factors affecting the agriculture such as weather, soil, diseases, remote sensing and the prospects of agricultural data analysis towards smart farming. Incorporating modern technologies in farming practices continuously monitor the environment, thus producing large quantity of data. Hence there arises the need for advanced practical and systematic strategies to correlate the different factors driving the agriculture to derive valuable information out of it. Big Data can be a promising aspect for the future of food production and sustainability of agriculture. Leveraging big data in the agricultural sector can provide insights in farming practices, helps in making real-time decisions and motivates in incorporating new methods of farming operations. The main objective of this paper is to provide insights into different factors that contribute to making timely recommendations to farmers with regard to smart agricultural techniques.
Gender Classification for Emotional Speech using GMFCC and Deep LSTM
Authors:   Lecturer, Department Of Computer Science, Government Polytechnic Banka, Banka, Bihar, India., Kumar* Sandeep , Yadav Jainath ,   Asst. Professor, Department Of Computer Science, Central University Of South Bihar, Gaya, Bihar, India.
Published: January 2020

We have come to the point that one of the important aspects of the process speech emotion recognition is the gender classification. The correct classification of gender will improve the performance of Speech Emotion Recognition (SER) system towards its robustness. Here, we are specifically referring to Gammatone Mel Frequency Cepstral Coefficient (GMFCC) as a feature extraction method that extracts features from IITKGP-SESHC dataset, which is very crucial in deciding either male or female in gender classification. The well known classifier “Deep Long Short Term Memory (Deep LSTM)” is itself an important kind of Recurrent Neural Network (RNN) that handles the long-range dependencies more efficiently than the RNNs. The GMFCC feature has to pass through the Deep LSTM and get average percent gender identification accuracy of 98.3%.
Stochastic Algorithm for Optimal Placement of STATCOM in a DG Interconnection System
Authors:   Research Scholar, School of Electrical Engineering, KIIT University, India., Jena Ramakanta , Swain Dr. Sarat Chandra ,   Professor, School of Electrical Engineering, KIIT University, India., Dash* Dr. Ritesh ,   Asso. Professor, Christian College of Engineering & Technology, Bhilai, India.
Published: January 2020

The advanced static synchronous compensator or Ad-STATCOM is a reactive voltage control device which when connected to the bus provides reactive power support by maintaining proper voltage level at each bus terminal. A new control scheme for optimizing the STATCOM based on Stochastic Machine Learning Algorithm is presented in this paper. The design of STATCOM controller for controlling reactive power does not depend on the Power System Parameters. All the design parameters were updated in this paper through a constant stochastic regression optimization. The design parameters only depend on the local values which are collected from history sheet or previous such case. A MATLAB Simulink model was designed and the model shows effectiveness on maintaining voltage level and thereby avoiding the voltage collapse.
Elliptic Curve Cryptography based Secure and Efficient Authentication Protocol for Smart Card Users
Authors:   Assistant Professor, Department of Electonics and Telecommunication, SKN Sinhgad Institute of Technology and Science, Lonavala, India., Shaikh* Javed R. , kumar P.Vijaya ,   Associate Professor, School of Electronics Engineering, VIT University, Chennai, Tamilnadu, India.., Yuvaraj R. ,   Assistant Professor (SG) Saveetha school of Engineering ,Chennai, India., Patil Sarang ,   Assistant Professor, ,Department of Electonics and Telecommunication, SKN Sinhgad Institute of Technology and Science, Lonavala, India.
Published: January 2020

Communication scheme which is used to have communication between authorized remote users over an insecure network is generally the authentication scheme which uses the password for the authentication. Remote user authentication techniques using the smart card have been proposed by many researchers. The main benefit of using the smart card is the storage availability and the computation speed. Huang et al. proposed a scheme for user authentication with smart cards which uses the concept of the timestamp. In Huang et al.’s protocol authors argued that their protocol is secure and efficient against any type of attack. Unfortunately Jung et al. show that Huang et al.’s model fails against the offline password guessing attack and with this scheme wrong password detection is not easy. In Huang et al.’s scheme, RSA cryptosystem is used to offer the authentication. In this article, advanced and secure smart card based authentication protocol using elliptic curve cryptography (ECC) is proposed. This proposed scheme thus overcomes all the possible drawbacks of Huang et al.’s scheme, and it has faster computation as compared to the available schemes
Detection & Classification of Lung Cancer at an Early Stage by Applying Feature Extraction-Optimization and Neural Network on Hybrid Structure
Authors:   pursuing Ph.D in Electronics and Communication Engineering in Maharaja Agrasen University,Himachal Pradesh, India, Nanglia* Pankaj , Mahajan Dr Aprana N ,   Professor in Electronics and Communication Engineering in Maharaja Agrasen University,Himachal Pradesh, India, Singh Paramjit ,   pursuing Ph.D in Electrical & Electronics Engineering in Maharaja Agrasen University,Himachal Pradesh, India, Rathee Dr Davinder ,   Associate Professor in Electronics and Communication Engineering in Maharaja Agrasen University,Himachal Pradesh, India,.
Published: January 2020

As of now the detection and classification of lung cancer disease is one of the most tedious tasks in the field of medical area. In the diversified sector of medical industry usage of technology plays a very important role. Detection and diagnosis of the lung cancer at an early stage with more accuracy is the most challenging task. So, in this research article 400 set of images has been used for this experiment. Best feature extraction technique and best feature optimization technique has been analyzed on the basis of parameter minimum execution time with minimum error rate. Then finest selection of features leads to an optimal classification. In this context, one of the best classification algorithm the support vector machine has been proposed in this hybrid model for the binary classification. Further Feed forward back propagation neural network has been implemented with SVM. This proposed hybrid model reduces the complexity of the system on the basis of minimum execution time that is 1.94 sec. with minimum error rate 29.25. Further better classification accuracy 99.6507% has been achieved by using this unique hybrid model.
Improved Lung Cancer Segmentation Using K-Means and Cuckoo Search
Authors:   pursuing Ph.D in Electrical & Electronics Engineering in Maharaja Agrasen University, Himachal Pradesh, India., Singh* Paramjit , Nanglia Pankaj ,   pursuing Ph.D in Electronics and Communication Engineering in Maharaja Agrasen University, Himachal Pradesh, India., Mahajan Dr Aprana N ,   Professor in Electronics and Communication Engineering in Maharaja Agrasen University, Himachal Pradesh, India.
Published: January 2020

Lung Cancer is among the deadliest disease that tolls mass every year. Information technology is playing an indispensable part in availing the most successful diagnosis and top treatment strategies to fight the condition when detected at an earliest stage. The work encompasses the improvement in the quality of image segmentation of Computer Tomography (CT) medical images of lung cancer. The paper evaluates the performance of two algorithms as a post segmentation process, namely, Artificial Bee Colony (ABC) and Cuckoo Search (CS). Support Vector Machine(SVM) is also used as a cross validator over the post segmentation algorithms ABC and CS. The experimental evaluation includes Accuracy, Precision, Error, Segmentation Time, Recall and F-measure to determine the success of the proposed hybrid model. The proposed results exhibit an improved Accuracy, Precision, Recall and F-measure by 5%, 6%, 3%, 4% and 10%, 11%., 12%, 11% for k-ABC and k-CS respectively.
Use of Reclaimed Asphalt Pavement and Bagasse Ash in Bituminous Flexible Pavement
Authors:   Department of Civil Engineering, Rimt University, Punjab, India., Zargar* Faizan , Verma Punit ,   Civil Engineering Department, Rimt University, Punjab, India., Singla Sandeep ,   Civil Engineering Department, Rimt University, Punjab, India.
Published: January 2020

An attempt has been made to utilize the waste material such as reclaimed asphalt pavement and bagasse ash by replacing coarse aggregate sieve by sieve and cement while preparing the bituminous mix sample. The usage of RAP was done at different proportions of 15%, 30% and 45% by the weight of coarse aggregate and bagasse ash was used at different proportions of 5%, 7.5% and 10%. Various tests on bitumen, aggregates and obtained bituminous samples were conducted for final results. Therefore, from the results obtained, it can be concluded that all the results of replacement mixes were found to be within the limits of MORTH 5th revision requirement and they have shown the satisfactory results also. The usage of RAP and Bagasse ash can be done effectively
Mobile Application for Breast Cancer Diagnosis Using Morphological Associative Memories Implemented on a Cloud Platform
Authors:   CIC, INstituto Politécnico Nacional, CDMX, México., Cerón-Figueroa* Sergio
Published: January 2020

The astounding advances that have been observed in mobile device technologies and their underlying algorithms have prompted a worldwide surge in attention to their capabilities and potential for improving different human activities. The present work is framed by the academic cooperation process between Mexico and Saudi Arabia; it consists of the description of the design and development of a mobile information system aimed at performing diagnosis and verification of breast cancer using an application for mobile devices. The problem to be solved is represented as a binary classification problem between healthy patients and people that have been confirmed as control cases. The classification algorithm is a hybrid model, consisting of Morphological Associative Memories and the k-Nearest Neighbor classifier. The hybrid model improves upon the performance of its components. The proposed model was implemented on a cloud computing platform in order to optimize the response time for the diagnosis. A comparative study of our proposal and the state of the art shows that the proposed mobile information system has a high classification performance as well as a low false positive rate.
Disaster management using Remote Sensing on Unsupervised Data
Authors:   Research Scholar, Department of Civil Engineering, St.Peter’s Institute of Higher Education and Research, Avadi, Chennai, Tamilnadu, India., Kathiresan* C. , Sayana Dr.V.B.M. ,   Professor & Head, Department of Civil Engineering, St.Peter’s Institute of Higher Education and Research, Avadi, Chennai, Tamilnadu, , India.
Published: January 2020

One of the biggest challenges in real-world applications is recognizing various objects and the conditions of the land based on the natural disasters in a remote sensing image. Object recognition in remote sensing images is used to locate various geographical locations for monitoring and observing GIS information, but the accuracy is not satisfactory. This research considers it as a base problem and analyzes, and it is motivated to provide a better solution regarding classification accuracy. The main objective of this study is to design and implement a framework named Natural Disaster detection on Remote Sensing data (NDRSD) for detecting and classifying the objects from remote sensing images. The efficiency of the framework increased by applying various image processing stages such as Pre-processing, Image Enhancement, Object Detection, Bag-of-Words creation, and Training – Testing process. The bag-of-words process enables the user to maintain ground truth values for classifying the objects and improves the accuracy of classification. From the entire process, it notices that NDRSD is suitable for processing any RSD. The proposed framework experiments and results verified. By comparing the obtained results with the state-of-the-art methods and the performance is evaluated.
Reduction Of Co2 Emission By Using Zeolite 13x In Four Stroke Spark Ignition Engine
Authors:   Assistant Professor, Department of Mechanical Engineering, PSNA College of Engineering & Technology, Dindigul, Tamil Nadu, India., Johnson* A.Arul , Saravanan G. ,   Assistant Professor, Department of Mechanical Engineering, PSNA College of Engineering & Technology, Dindigul, Tamil Nadu, India., Subbiah M. ,   Assistant Professor, Department of Mechanical Engineering, PSNA College of Engineering & Technology, Dindigul, Tamil Nadu, India.
Published: January 2020

Carbon di oxide is the major contribution gas for greenhouse effect and global warming. Therefore the world is in an urge to control the emission of CO2. The main objective of this research is to reduce the emission of CO2 from the exhaust in the petrol engine. Three way catalytic converter has already been employed in reduction of harmful pollutants such as Hydrocarbons, NOx, CO that causes adverse effect in human being. The CO2 is left freely from the exhaust in the atmosphere, where major composition from the exhaust is occupied by nitrogen and carbon dioxide.Zeolites are micro porous, alumina silicate minerals commonly used as commercial adsorbents and catalysts. They may occur naturally but are also produced industrially on a large scale. The additional arrangement of zeolite 13x inside a wire mesh which is used as additional component next to the catalytic converter. This research focuses on bringing down the level of carbon dioxide through the new devise called “catalytic converter using zeolite13x” which reduces the pollution drastically by absorbing the carbon dioxide and putting it to good use in a constructive manner.So that the emission of CO2 can be controlled.
Implementation of Smart Refrigerator based on Internet of Things
Authors:   Department of ECE, Vellore Institute of Technology, Vellore, India., Ahmed* Mohammed Abrar , Rajesh R. ,   School of Electronics Engineering, Vellore Institute of Technology, Vellore, India.
Published: January 2020

In this modern era, the Internet of Things plays an important role to make human life much easier and more convenient. Smart appliances have overtaken conventional appliances by improving efficiency, robustness, power consumption, connectivity. ‘Smart’ is associated with appliances which are interfaced with the Web. Thus, smart appliances are set forth to extend into every household these days. Smart appliances include Television, Dishwasher, Washing machine, Water purifier, Refrigerator. In this paper, we propose a methodology to make traditional Refrigerator smart. Smart Refrigerators help in food management by adding computational intelligence that involves the use of a microcontroller and various kinds of sensors to improve the functionality of the fridge. Using automation techniques, a cost-effective intelligence is added to the refrigerator. This smart fridge is user-friendly and enhances human life. The features that can be provided are numerous and mobile or web application is designed to prior control the fridge and application act as a connection between fridge and user. The smart refrigerator senses the shortage of items in it and upon granting access orders the item online or messages the grocery store to deliver the items. The smart module monitors temperature, humidity and uploads to cloud platform with real-time updates to the user.
Seismic Fragility Curves for RC Flat Slab Buildings with and Without Infill
Authors:   M.Tech, Structural engineering, Anurag Group of Institutions (An Autonomous Institution), Venkatapur, Hyderabad, Telangana, India., Jeshwanth* Gurujala , Narender Dr. B. ,   Associate Professor, Department of Civil Engineering, Anurag Group of Institutions (An Autonomous Institution), Venkatapur, Hyderabad, Telangana, India.
Published: January 2020

Rapid urbanization leads to more demand for construction of commercial buildings in Indian cities. The ease construction and more space demand of buildings are constrained in conventional buildings. To overcome constrained, the flat slab buildings evolved and practiced recent time in urban cities. It is becoming more popular for multistoried commercial buildings but experiences larger displacements under lateral load effect caused by earthquakes. These buildings need urgent to assess the vulnerability of buildings. In this fragility analysis is carried out, and it is useful for the evaluation of the probability of structural damage due to earthquakes as a function of ground motion indices. This paper is an attempt made to develop the fragility curves for seven-storey RC commercial buildings and a comparison made between the bare frame, flat slab, flat slab with drop, flat slab with drop and perimeter beam buildings without and with exterior infill walls. The building models are analyzed using ETABS software and designed as per IS 456. In this, infills are considered along the perimeter of the plan of the building and no infill in ground storey. The infill wall is modelled as equivalent diagonal strut model. The Auto hinges are assigned for both beam and column members. Pushover analysis has been performed on the building models using ETABS software. Yield and ultimate spectral displacement and spectral acceleration are obtained from capacity curves. For the development of fragility curves, HAZUS methodology has been used. Fragility curves are developed for all the eight building models and compared the probability of damage of structures for bare frames and open ground storey buildings. In this assumed, the expected intensity ground motion is considered as seismic zone PGA values. It is observed that in considered flat slab models, flat slab with drop and perimeter beam building is showing minimum probability of damage results in both with and without infill for given intensities.
Robust Watermarking Scheme in YCbCr Color Space using SVD and DKT-DCT Hybrid Wavelet Transforms
Authors:   Department of ECE, University College of Engineering Dindigul Campus, Dindigul, Tamilnadu, India., Gomathi* R
Published: January 2020

Digital image watermarking is a significant one for copyright protection. In this work, a robust watermarking method that can be utilized to ensure copyright is proposed. The proposed technique improves the power of the watermark with the end goal that it very well may be utilized to secure the intellectual property considerably after genuine assaults on the watermark picture. A YCbCr model can be utilized as the ideal color model, the Y part being the ideal color channel here. Frequency domain methods give more robustness. Changes like DCT, Wavelet changes and Singular Values Decomposition (SVD) are some all around investigated transform domain procedures in watermarking. DKT-DCT hybrid wavelet transform is investigated by applying on have and utilized for embedding singular values of watermark. The proposed plan perceptually enhanced one and more strong in opposition to attacks and rotation invariant. The test outcomes show the perceptually enhanced condition as well as the efficiency of the proposed method when compared with traditional methodologies.
Algorithm For Identification Based On Voice
Authors:   Tashkent University Information Technologies named after Al-Kharezmi, Tashkent,, Narzillo* Mamatov , Nilufar Niyozmatova ,   Tashkent University Information Technologies named after Al-Kharezmi, Tashkent, Abdurashid Samijonov ,   Bauman Moscow State Technical University, Moscow, Russia, Yusuf Yuldoshev ,   Tashkent University Information Technologies named after Al-Kharezmi, Tashkent, Mamadalieva Naibakhon ,   Uzbekistan National University of Uzbekistan named after Mirzo Ulugbek, Tashkent
Published: January 2020

This article proposes an algorithm for automating the process of personality recognition based on voice, provides an analysis of existing methods used to solve the problem that needs to be solved. A method was implemented based on the Gaussian mixture model, which distinguishes a person’s voice with high accuracy. The components of this model allow you to simulate sound characteristics that are unique to each person. The results of the proposed algorithm and the use of voice recognition based on the results of the proposed algorithm are presented.
Seismic Fragility Curves of R.C.Framed Buildings Designed as per is Low, Medium and High Code
Authors:   M.Tech (Structural Engineering), Anurag Group of Institutions, Venkatapur, Ghatkesar(M), Medchal(D), Hyderabad, India., Reddy* E. Sathish , Narender Dr.B. ,   Asso. Professor, Department of Civil Engineering, Anurag Group of Institutions, Venkatapur, Ghatkesar (M), Medchal (D), Hyderabad, India.
Published: January 2020

In India, the RC buildings codes of gravity and seismic loads have been revised over five decades. The adaptation of gravity and seismic loads combination were rarely taken into design consideration in low and mid-rise building. In the last five decades, low and mid-rise buildings have been constructed high in number in urban cities due to increasing more employment opportunity. The around 56% of the landmass is prone to moderate to severe the earthquake. Also, it evident, in Bhuj 2001 earthquake, many mid and low rise was suffered severely, and more life loss occurred. The seismic zone map has been updated from 1968-2016 and seismic demand increased manifold. The RC buildings have been designed different design philosophy over the period of time, and the urgent need for the assess the vulnerability buildings which have been designed different design codes. In this paper, an attempt made to derive the fragility curves of three and five story RC buildings with aspect ratio and designed as per IS 456-1964 (Low code), IS 456-1978 (Medium code) and IS-13920 (High code). The modelling and pushover analysis are carried out by using a numerical method. User-defined hinge properties for the column as P-M-M and beam as M3 curves have been derived and assigned column and beam elements. The displacement control is applied in pushover analysis. The fragility curves have been derived as per guidelines are given by HAZUS technical manual. Results are compared with design philosophies, aspect ratio and the number of storeys for a given intensity of the acceleration.
Control Strategy for Load Frequency Control to Manage TRANSCO Reserve in Restructured Power System
Authors:   Department of Electrical and Electronics Engineering, Amrita Vishwa Vidyapeetham, Coimbatore, TamilNadu, India., R. R.* Lekshmi , Balamurugan S. ,   Department of Electrical and Electronics Engineering, Amrita Vishwa Vidyapeetham, Coimbatore, TamilNadu, India,
Published: January 2020

Load frequency control existing in restructured power system retains frequency change and transmission line power variations within limits. Tie line bias control strategy adopted for load frequency control allows only contracted power to flow through transmission line. Thus, during violation, this strategy does not allow transmission companies to utilize its available reserve beyond the contract. Concurrently, only same area generation units are rescheduled to satisfy violations. This paper proposes a new control strategy for load frequency control in a competitive environment considering transmission line reserve. The strategy allows the use of more economic generating units located in neighbouring areas, thereby making use of transmission company’s reserve up to the maximum limit during violation. The proposed strategy is tested for its effective and efficient performance under bilateral and poolco model with various contract violations. The strategy proves for the effective utilization of neighbouring generating units that offers lowest prices thereby making the system efficient.