bluuebunny/crossref_metadata_2025 huggingface dataset:
Preventive Path To Control Fire Accident in Firework Industry using Iot
Authors:   Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, India., Muthuvelu Kannan , Ramamoorthy S. ,   Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, India.
Published: March 2020

The Surveillance and the ongoing examination on Fire work mishaps are just arrangements with the manual preventions, mindfulness and how to keep away from the mishaps during the assembling procedure of wellbeing matches and fireworks. Dangerous mishaps happen frequently, resulting in overwhelming misfortunes of human lives and wounds to laborers. The fundamental driver of Fire mishaps is from Gun Powder. In this Gunpowder not just explosives at the time of higher temperature which additionally obliterated the whole things underneath the referenced temperature. The preventive measure on this surveillance bargains and suggested that the temperature, smoke caution sensor is bolstered to the laborers keep away from heavier harms. The proposed work enhances the preventive system through, advanced IoT based sensors which is deployed on the field to monitor and prevent the real time mishaps. The framework clearly identifies the Automated Chemical Manager (ACM) to balance chemical control activities and threshold limits to avoid the possibility of accidents in the firework industries. The timely alarm through this smart preventive system will avoid the loss of human life and frequent accidents in the firework industry.
Framework for Color and Texture Feature Fusion in Content Based Image Retrieval using Block Truncation Coding with Color Spaces
Authors:   Department of Computer Engineering, Pimpri Chinchwad College of Engineering, Pune, India., Thepade Sudeep D. , Awhad Rohan ,   Department of Computer Engineering, Pimpri Chinchwad College of Engineering, Pune, India., Khandelwal Prakhar ,   Department of Computer Engineering, Pimpri Chinchwad College of Engineering, Pune, India.
Published: March 2020

With tremendous growth in social media and digital technologies, generation, storing and transfer of huge amount of information over the internet is on the rise. Images or visual mode of communication have been prevailing and widely accepted as a mode of communication since ages. And with the growth of internet, the rate at which images are generated is growing exponentially. But the methods used to retrieve images are still very slow and inefficient, compared to the rate of increase in image databases. To cope up with this explosive increase in images, this information age has seen huge research advancement in Content Based Image Retrieval (CBIR). CBIR systems provide a way of utilizing the 3 major ways in which content is portrayed in images, those are shape, texture and color. In CBIR system, features are extracted from query image and similarity is found with features stored in database for retrieval. This provides an objective way of image retrieval, which is more efficient compared to subjective human annotation. Application specific CBIR systems have been developed and perform really well, but Generic CBIR systems are still under developed. Block Truncation Coding (BTC) has been chosen as a feature extractor. BTC applied directly on input image provides color content-based features of image and BTC applied after applying LBP on the image provide texture content-based features of image. Previous work consists of either color, shape or texture, but usage of more than one descriptor is still in research and might give better performance. The paper presents framework for color and texture feature fusion in content-based image retrieval using block truncation coding with color spaces. Experimentation is carried out on Wang Dataset of 1000 images consisting of 10 classes. Each class has 100 images in it. Obtained results have shown performance improvement using fusion of BTC extracted color features and texture features extracted with BTC applied on Local Binary Patterns (LBP). Conversion of color space from RGB to LUV is done using Kekre's LUV.
Application of Passive Cooling Technologies in Commercial Buildings
Authors:   Research scholar, MGM’S JNEC, Aurangabad, India., Hangargekar P. A. , Harne K. R. ,   Professor, Department of CE,CBP Government college of engineering New Delhi, India.
Published: March 2020

World over building sector is largest consumer of electrical energy. Energy requirement for air cooling and refrigeration is found to be 40 % of total consumption of electrical energy used in building sector. Passive cooling technologies used in building have good potential of indoor air cooling many building built on these principles are showing reduction in energy requirements. In present work, passive cooling technologies such as planform, shading devices, garden trap bond, fenestration, air ducts, earth berming, and indoor gypsum wall finishes, false ceiling etc. had been integrated into building design of a commercial building at Tuljapur in the hot and dry climatic zone of India. Field experimentation work of measurement of temperatures in indoor and outdoor locations of the building had been conducted to assess the cooling potential of these technologies. It was found that average temperature reduction in indoor atmosphere was archived as 3°C except the temperature difference between indoor and outdoor atmosphere. This was a cumulative effect of above mentioned passive cooling technologies integrated in building design.
Parametric Extraction of the Road Conditions Spatial Data and Detection of Defeats using Pragmatic Clustering Method
Authors:   Department of Computer Science and Engineering, JNTUH CEH, Hyderabad, Telangana, India, Kumari Dara Anitha , Govardhan A. ,   Professor of Computer Science & Engineering, Registrar and Executive Council Member, Jawaharlal Nehru Technological University Hyderabad (JNTUH). India.
Published: March 2020

Growth in the population and road transportation for any region can create a higher demand for better road conditions and the less safe road conditions can be a great bottleneck for the growth of the nation. Hence most of the progressive nations like India,builds better infrastructure for the road transportations.Nevertheless,the higher populations in countries like India,demand greater maintenance of the roads and for a gigantic demographic, the maintenance work can be very tedious. Also,the damage in the road surfaces can also lead to the increasing rate of the accidents. Henceforth,the demand of the road maintenance is always increasing.Nevertheless, the existing road maintenanceauthorities deploy a manual process for identification of the repair needs, which is naturally highly time consuming. Thus, this work identifies the demand for automation of the road condition monitoring system and identifies the defects based on three classes as cracks, patch works and potholes on the road surface. The work deploys a novel model for parametric extraction, in order to segregate the defect types. The segregation of the defect types can be highly challenging due to the nature of the data,which clearly hints to solve the problem using unsupervised methods. Thus, this work also deploys a pragmatic clustering method using a decisive factor,which is again generated from the extracted features of parameters. The work demonstrates nearly 96% accuracy on the benchmarked dataset with sophistication on the complexity of the model.
Snapshot Based Disaster Recovery on Cloud
Authors:   MSc Student, Department of Computer Science, CHRIST (Deemed to be University), Bangalore, India., A Vishnu , R Arokia Paul Rajan ,   Associate Professor, Department of Computer Science, CHRIST (Deemed to be University), Bangalore, India.
Published: March 2020

Nowadays, data has been produced in a larger amount. So, it is important to have some recovery issues also related to it. Cloud computing refers to the interconnection of various systems for the purpose of sharing resources. Cloud is one of the largest platforms that is growing rapidly in the IT sector. There are many private data that are related to cloud. Therefor the need for data recovery in the cloud is gaining more importance day by day. For this an efficient and effective data recovery techniques are to be developed. Recovery of data helps the users to collect information on any backup servers whenever the server is down. Many solutions have been developed for the disaster recovery. This research paper mainly discusses about some of the techniques and solutions that are needed to recover the data in cloud architectures. This work proposed snapshot based backup technique for the databases and implemented successfully.
Fuzzy Logic Based Energy Controlling Strategy for Isolated Wind-PV Hybrid System
Authors:   Department of Electrical and Electronics Engineering, Sri Krishna College of Technology, Coimbatore, Tamilnadu, India., S. Saravanan , Tiwari Ramji ,   Department of Electrical and Electronics Engineering, Bharat Institute of Engineering and Technology, Hyderabad, India., P. Pandiyan ,   Department of Electrical and Electronics Engineering, Sri Krishna College of Technology, Coimbatore, Tamilnadu, India., K. Kumar ,   Department of Electrical and Electronics Engineering, SV College of Engineering, Tirupathi, India, N. Ramesh Babu ,   Department of Electrical and Electronics Engineering, M. Kumaraswamy College of Engineering, Karur, Tamilnadu, India.
Published: March 2020

The paper proposes a fuzzy logic based energy management strategy for isolated hybrid PV-Wind system. This PV-Wind system comprises of 500 W photovoltaic (PV) systems and 600 W permanent magnet based alternator for conversion of wind energy. A step down converter is connected to the system in order to charge the 48V battery electric storage system (BESS). The load of 1 kW system is supplied with the 1.1 kW hybrid systems. The renewable energy sources are intermittent in nature and hence BESS system is used to support the load when there is shortage of energy generated. To optimize the output voltage of the fuzzy logic approach based maximum power point tracking (MPPT) method is employed which is also utilized for the energy management strategy. The proposed topology is modeled and simulated using mathworks tool MATLAB/Simulink and its performance is evaluated.
A Low Cost Solution for Automatic Plastic Segregation
Authors:   Department of Electrical and Electronics Engineering, Amrita Vishwa Vidyapeetham, Amritapuri, India., Dharmana Meher Madhu , S. Aiswarya M. ,   Department of Electrical and Electronics Engineering, Amrita Vishwa Vidyapeetham, Amritapuri, India.
Published: March 2020

Solid waste management is a universal issue that matters to every single person in the world. The solid waste management system is fundamentally labor intensive with very little collection efficiency. The available automatic plastic segregation techniques are based on thermal imaging and electrostatic properties of materials- these methods are expensive for governments to invest upon, and also to maintain in landfills. In this paper, artificial intelligence techniques are exploited to recognize the sounds of plastics from that of other materials by designing suitable mechanism to produce sound from debris during segregation, the segregation process can be automated with relatively low-cost electronics like System on Chips and audio sensors. With 30,000 recorded samples of noisy plastic and non-plastic material sounds, ANN is trained and was able to successfully detect plastics with 93.5% accuracy in real time. Algorithms were developed in python and real time testing was done on SoC with a mic, which affirms that the proposed method is cost effective when compared to techniques involving image processing, thermal imaging and near infrared spectroscopy.
CNN based Stock Market Prediction
Authors:   Assistant Professor, Department of CSE, BMS Institute of Technology & Management, Bangalore, India,, S Guruprasad , Chandramouli H ,   Professor & Head, Department of CSE, Eastpoint College of Engineering & Technology, Bangalore, India,
Published: March 2020

Indian Stock market is highly dynamic and especially after globalization stock market modeling has become even more complex due to influence of multiple parameters. In presence of multiple parameters, some parameters have increased influence than others in prediction of stock market trends. This influence of individual parameters and their joint influence over time is better modeled with Convolutional Neural Network Classifiers. This work models the dynamics of stock market in terms of Convolutional Neural Networks and multiple parameters impacting the stock trend. The proposed solution is implemented for Indian stock market for stocks in different sectors to prove its prediction accuracy.
Prediction of Election by Twitter
Authors:   Department of CSE,Manav Rachna International Institute of Research and Studies,Faridabad, India, Kusum  , Panda Supriya ,   Department of CSE,Manav Rachna International Institute of Research and Studies, Faridabad, India.
Published: March 2020

Nowadays social media like Twitter and Facebook etc. is one of the key players. Twitters are micro blogging sites by which users sent their opinions and views in brief. The information generated by one user can be seen by everyone. Therefore to analyze twitter sentiment can be a crucial task. For this task, we have used various approaches like novel based approach and machine learning and many other rules like context awareness are used for the detection of public opinion and prediction of results. We are studying the user tweets during elections. Meaningful tweets are collected on a definite period.The feasibility of the developed classification model is identified by our proposed work to identify the political orientation on the tweets and other user-based features. The technique for the collection of tweets in time has played an important role. When the outcome of applied technique competes with survey agencies result was published before elections result.
Monitoring of Rice Plant for Disease Detection using Machine Learning
Authors:   Asst.Prof,ECE Dept., Anurag Group of Institution, Hyderabad, India., R Naga Swetha , Shravani V ,   M.Tech Student,ECE Dept., Anurag Group of Institution, Hyderabad, India.
Published: March 2020

Agriculture is an significant source of income and much of an Indian economy depends on agricultural production. Early detection of plant leaf illnesses is essential to boost crop output and profit..Agricultural specialists diagnose most illnesses through the examination of external symptoms. Farmers, however, have restricted access to professionals. This article proposes a fresh method for diagnosing and classifying rice illnesses.Four diseases were detected and categorized as bacterial blight of rice, rice blast, tungro of rice and false smut.By developing an algorithm different features such as shape, color of the Diseased leaf part were extracted. .Diseases have been Classified using SVM (Support vector machine) and classifier k-Nearest Neighbor (k-NN) after extracting all features. Our suggested solution also provides farmers with Diagnosis of plant disease through a scalable cooperative platform based on the Cloud. This is available via a mobile application allowing customers to send photos from various areas of the leaves that automatically diagnose real-time plant diseases.
Improved Caching and Trust based Reliable Mobile Communication in Distributed Environment
Authors:   Department of Electronics and Communication Engineering, BNM Institute of Technology, Bengaluru, India., Suganthi D Bhuvana , R Manjunath ,   Department of Electronics and Communication Engineering,AMCEC,Bengaluru, India, A Punitha ,   Department of Electronics and Communication Engineering, Trichy Engineering College, Thiruchirapalli, India, S Raghupathi. ,   Department of Electronics and Communication Engineering, IBRICT, OMAN Raghupathi
Published: March 2020

This work is to overcome the data confidentiality issue and lack of security due to possibility of unstable connections, inflexibility in transmission rate in a distributed environment. This work is carried in three stages. Firstly, the secure path is identified based on energy, link quality, and delay towards the destination node. The quality of the link is considered due to the node mobility in the mobile network. Secondly, in the identified secured path, the next algorithm called Distributed Caching and Fault-tolerant Communication (DCFC) protocol is employed to monitor the failure occurring on routing tree and initiates failure recovery technique which is suitable for increasing the data transmission rate with very less failure Thirdly, Trusted Security Policy based Routing Algorithm (TSPRA) is implemented to overcome the packet drops and increased overhead due to lack of security which proves that data are well secured due to specific access control policies and increasing the high secured data size. Henceforth the level of security is increased with respect to reliability, recovery, confidentiality, and integrity. Reliability is proved based on the linking of all the possible positive factors of the distributed mobile communication in a single system. This performance leads to enhancement of productivity, personal safety and ability to protect their way to public service in terms of communication through wireless networks in a distributed environment
Self tuned Fuzzy PD Control for QNET 2.0 Rotary Inverted Pendulum using lab view
Authors:   Department of Electronics Engineering, Mehran UET Jamshoro, Pakistan, Ali Engr. Amjad , Nighat Arbab ,   Department of Electronics Engineering, Mehran UET Jamshoro, Pakistan.
Published: March 2020

An Inverted pendulum is a nonlinear system and broadly utilized as automated arm. The challenge is to balance the pendulum that can rotate in only two ways, either to the positive or to the negative direction ±180 Degree. This research work is aiming to design a controller based on self-tuned fuzzy logic and (Fuzzy-PD) for QNET-2.0 Rotary Inverted Pendulum using lab-view. This self-tuned fuzzy PD control is responsible to generate computer based signals for stable outputs and can works on errors. Rotary Inverted pendulum (RIP) is used as real time model where self- tuned fuzzy PD control is applied for stabilization. There are two aspects to the control objectives for the inverted pendulum: swing-up and balance in a typical PD system, the balancing controller is generated using a fuzzy logic controller, instead of the proportional term. the swing-up controller is generated in a standard proportional controller by using a fuzzy logic system, instead of the proportional term. To build Lab-VIEW approaches, a software development technique is used to help programmers produce code that has greater potential to solve a problem as opposed to writing code without a design. This approach also helps make coding more accessible, more flexible, and more changeable. Rotary Inverted pendulum systems were operated and managed by means of the PD module and the Fuzzy PD Module in Lab-VIEW. The fuzzy controllers are added into the system after the design of the standard PD and P controllers. The two types of controllers the fuzzy P and the fuzzy P-D, and the common proportional and standard PD, are finally implemented and evaluated on the actual inverted pendulum hardware, and also the Control system output is compared between two different control methods.
Chaotic African Buffalo Optimization Based Efficient Key Mechanism in Categorized Sensor Networks
Authors:   Assistant professor in faculty of Computing and Software Engineering, Institute of Technology, Arbaminch University, Ethiopia, Arunkumar J.R.
Published: March 2020

In recent days, Wireless Sensor Network (WSN) can be used to monitor the circumstances of various movable objects and several processes such as friendly forces monitoring, biological attack detection, fire detection and so on its applications are extended. To make all these applications reliable and secure, it is necessary to use cryptographic processes. The security of the whole network is depending on the strength of a generated key, the algorithm decides the size of the key handling and processing. In this research, a secure efficient key management scheme is proposed with the help of Chaotic African Buffalo Optimization (CABO) for wireless sensor networks. The evaluation of this method is made with the objective to improve the security strength and reduce the cost of resource. The traditional methods called genetic algorithm and an evolutionary algorithm named as Particle Swarm Optimization (PSO) is compared to verify the proposed scheme.
An Optimal Multilevel Encryption Technique for Securing the Data Transmission in IoT
Authors:   Department of Computer Science, Assam University, Silchar Assam, India., Roy Ananya , Das Prodipto ,   Department of Computer Science, Assam University, Silchar Assam, India., Das Rajib ,   Department of Computer Science and Application, Karimganj College, Karimganj Assam, India.
Published: March 2020

Internet of Things(IoT) is playing a pivotal role in our daily life as well as in various fields like Health, agriculture, industries etc. In the go, the data in the various IoT applications will be easily available to the physical dominion and thus the process of ensuringthe security of the data will be a major concern. For the extensive implementation of the numerous applications of IoT , the data security is a critical component. In our work, we have developed an encryption technique to secure the data of IoT. With the help of Merkle-Hellman encryption the data collected from the various IoT devices are first of all encrypted and then the secret message is generated with the help of Elliptic Curve Cryptography.
Day Lighting Research on Double Skin Façade DSF
Authors:   with the Architecture Department, Faculty of Engineering and Built Environment, 43600 National University of Malaysia, Malaysia, Zin M. H. M. , Jamil M. ,   with the Architecture Department, Faculty of Engineering and Built Environment, 43600 National University of Malaysia, Malaysia, Ibrahim N. L. N. ,   with the Architecture Department, Faculty of Engineering and Built Environment, 43600 National University of Malaysia, Tazilan A. S. M. ,   with the Faculty of Engineering and Built Environment, 43600 National University of Malaysia, Malaysia
Published: March 2020

Energy consumption and carbon dioxide (CO2 ) emission are issues that mostly been considered to be solved vitally. As the first layer of the building component, building’s façade function more than just a building’s barrier but it acts as to absorb the necessary natural elements from outside as well as function as an effective interventions. DSF possesses the efficient ability in enhancing the building performance especially on day light. Most of the research studies on DSF focus on the thermal and ventilation performance while study on the day light performance should be conducted since day light acts as the premier energy to the building’s performance. This paper used the literature review as the main source of this study and tabulated through series of tables and pie chart. Result shows that research on day light performance in DSF potentially create various efficient impacts to the building’s performances. This study also identifies the contribution among researchers and practitioners where each of them has their own intention that indicate the benefits on adapting DSF to a building design. Type of climates, cavity width, light shelves, glass characteristics and type of DSF are some of the important elements that need to be considering in producing an efficient daylight performance. This study reveals that more research needs to be conduct among researchers and practitioners on the daylight in DSF due to the various benefits to the buildings and occupants.
Design of Portable Conditioning Chamber with Peltier Element for Transfusion Blood Temperature
Authors:   Engineering Physics Department, Universitas Nasional, Jakarta, Indonesia, Hidayanti Fitria , Ramadhani Ukhti Fatimah ,   Student at Engineering Physics Department, Universitas Nasional., Gunadi Sunartoto ,   Professor at Engineering Physics Department, Universitas Nasional.
Published: March 2020

A research has been conducted on the design of conditioning chambers with Peltier elements aimed at controlling transfusion blood temperature and analyzing the control system that has been made. The working principle of the control system that is made is the temperature sensor will read the temperature in the chamber, if the temperature reads above 10 °C, the relay will light up and electricity will flow so that the Peltier cooler will work, if the temperature has reached 10 °C, then the relay will off and the electricity will stop to save energy. The relay will turn on again if the temperature rises above 10 °C. The results obtained from this experiment is the Peltier element can cool down for 30 minutes with variations in load 0 mL, 350 mL, 700 mL, 1050 mL, and 1400 mL in the temperature range of 2 °C to 10 °C.
Development of MPPT Algorithm and Wind Rose Model for Wind Farm in Maharashtra
Authors:   Assistant Professor, Department of BSH, Dr. Daulatrao Aher College of Engineering, Karad, India., Jadhav Krishnat U. , Thosar Archana G. ,   Professor, Department of Electrical Engineering, Government College of Engineering, Pune, India.
Published: March 2020

This work focuses on enhancements of the maximum power point tracking for wind energy village. This work also targeted on numerous variables like air density, wind speed and impression of other geographical regions specific ecological elements. The Incremental Conductance along with Fractional open Circuit Voltage algorithms are usually is much less fruitful and still has problem in determining perfect step-size. To eliminate such drawbacks we recommended Hybrid execution of MPPT algorithms for maximum power point tracking to achieve the best possible power operation. The algorithms are presented by using Matlab simulation. This paper also delivers results for wind farm for various climate conditions in Maharashtra region with wind rose analysis. The outcomes attained are ideal for equivalent weather conditions based on air density variations and Hybrid Algorithm execution can be applied to draw out maximum power point. Results shows that recommended method is more efficient maximum power point tracking method with less execution time for any renewable energy resources.
Behavior of Various Concrete Mixes with Inclusion of Recycled Coarse Aggregates Based on Durability Point of View
Authors:   Ph.D. Research Scholar, Civil Engineering Department, S. V. National Institute of Technology, Surat, Gujarat, India., B Pathak V , D Modhera C ,   Professor (HAG), Civil Engineering Department, S. V. National Institute of Technology, Surat, Gujarat, India.
Published: March 2020

Cement concrete is the most extensively used construction material in the world with about six billion tons produced every year. It has emerged as the dominant construction material for the infrastructure needs of the 21st century. Aggregate is one of the main ingredients in producing concrete i.e. 75% of the concrete mass. The strength of the concrete produced is dependent on the properties of aggregates used, hence there is huge demand for this material. In order to reduce the use of natural aggregates from natural resources, the use of recycled aggregates in concretes is an interesting solution. It helps in reducing the cost of concrete manufacturing and also has numerous indirect benefits such as reduction in land-fill cost, energy saving, and protecting the environment from possible pollution effects. Durability and strength are two most important criteria for any concrete structures. One of the main causes of deterioration in concrete structures is its exposure to temperature variations mainly due to solar radiation and harmful chemicals that may be found in nature such as in industrial effluents. The most aggressive chemicals that affect the long term durability of concrete structures are the magnesium, sulphates and chlorides. These chemicals in presence of water increases the porosity of concrete and leads to loss of weight and strength. Hence this paper investigates the effect of thermal cycles and chemical attack on M20 & M25 grade cement concrete in partial replacement of natural aggregates with recycled aggregates with proportion of 10%, 20% and 30%. The effect of temperature variations were studied by analyzing loss in compressive strength after applying various thermal cycles on concrete cubes at 60o C and 90 o C. The chemical resistance of the concretes was studied through chemical attack by immersing concrete cubes in 5% MgSO4 , H2SO4 and HCl solution and loss in strength and weight were measured at 7, 28, 60 and 90 days. The result shows possible use of RCA as 20% for both M20 & M25 grade concrete, and resistance to thermal cycles and chemical attack shows reduction in strength and weight with time.
Efficient Pattern Generation using Declat Algorithm Based on Association Rule Mining in Educational Data Mining
Authors:   Department of Computer sciences, Govt. SMS Science College, Gwalior, India., Sharma Rajeev , Tamrakar Sitendra ,   Department of Computer Science, Nalla Malla Reddy Engineering College, Hyderabad, India.
Published: March 2020

A new application called DM Educational Data Mining (EDM) involves data extraction and analysis from the classroom or area of education. In order for educators to deliver quality education to students, EDM integrates various educational information into its review. The EDM works by translating raw data from education systems invaluable information which could have a major effect on the study of education. The output of each student is measured from the database and must be sufficiently accurate to withstand changes in the academic record. Then we have transformed the overall arrangement into a modified relation for the adequacy of the Declat algorithm. The purpose of this work is to examine how prior researchers, as well as recent data mining trends in educational research, have dealt with data mining. In this paper, collected data comprised of 200 students. We define academic performance & impact of additional issues on the basis of these course’s last grades, indications of attendance, class tests, and term last answer substance add up to marks and so on. Here, we compare the FP-Growth and Eclat with Declat algorithm on the bases of confidence and support value in a relation of execution time & no. of patterns generated. This paper uses a declat algorithm to create patterns or delete effective patterns. Such patterns help to illustrate a growing student's success.
The Outcome of Turning Factors on the Machining Characteristics While Turning 655M13 Steel Alloy using Tialn Coated Carbide Insert
Authors:   Research Scholar, Department of Mechanical Engineering, Karpagam Academy of Higher Education, Coimbatore-641021, INDIA, P Venkatesh. , Kannan C.Ramesh ,   Associate Professor, Mechanical Engineering, Karpagam Academy of Higher Education, INDIA., Dennison Milon Selvam ,   Mechanical Engineering, Kampala International University, Kampala, UGANDA.
Published: March 2020

This exploration is carried out to reveal the outcome of turning factors such as cutting velocity, depth of cut and feed rate on the surface roughness, mean cutting force and tool-work interface temperature on turning cylindrical 655M13 steel alloy components. The experiments are designed based on (33) full factorial design and conducted on a turning centre with Titanium Aluminium Nitride (TiAlN) layered carbide tool of 0.8mm nose radius, simultaneously cutting forces such as feed force, thrust force and tangential force and the tool-work interface temperature are observed using calibrated devices. The surface roughness of the turned steel alloy parts is deliberated by means of a precise surface roughness apparatus. Prediction models are created for average surface roughness, mean cutting force and tool-work interface temperature by nonlinear regression examination with the aid of MINITAB numerical software. The optimum machining conditions are confirmed with the aid of a Genetic Algorithm. The outcome of each turning factor on the surface roughness, mean cutting force and tool-work interface temperature is studied and presented accordingly.
Love Waves in a Pre-Stressed Fiber Reinforced Medium Rest upon a Monoclinic Half Space
Authors:   Department of Mathematics, School of Applied Sciences, KIIT, Deemed to be University,, Bhubaneswar-751024, India., Patnaik Aditya Kumar , Samal Sapan Kumar ,   Department of Mathematics, School of Applied Sciences,Bhubaneswar-751024, India., Das Prasanta Kumar ,   Department of Mathematics, School of Applied Sciences, KIIT, Deemed to be University, Bhubaneswar-751024,India
Published: March 2020

Love waves in a pre-stressed fiber-reinforced medium lying above a monoclinic half-space have been investigated. Upper surface of fiber reinforced layer remains stress free and interface of half space and layer satisfies continuity conditions .The dispersion equation for Love waves propagation has been derived. Effect of anisotropy parameter of half space and initial stresses of reinforced layer on Love waves propagation have been observed from dispersion curves. Some particular cases have also been developed by using the dispersion equation. Further, the range of the existence of Love waves is calculated. The cut-off periods for three nodes of Love waves with variation of anisotropy parameter and compressive stress are presented in tabular form.
Determination of Age using Traditional Techniques Such as Hand MRI, Face Recognition, Versus Building Neural Networks and Image Processing Techniques
Authors:   Department of Information Science and Engineering, Jyothy Institute of Technology, Bengaluru, India., C. Dheeraj V. , A. Karthik Holla ,   Department of Information Science and Engineering, Jyothy Institute of Technology, Bengaluru, India., G. Deeksha ,   Department of Information Science and Engineering, Jyothy Institute of Technology, Bengaluru, India., A. Nishchitha ,   Department of Information Science and Engineering, Jyothy Institute of Technology, Bengaluru, India., R. Kishore G. ,   Department of Information Science and Engineering, Jyothy Institute of Technology, Bengaluru, India.
Published: March 2020

, , , , Technological advancement in forensic imaging have tremendous flow on benefits to the professional practice of forensic anthropology, not only in respect of case-work analyses, but also in facilitating empirical research that has validated and improved existing, and introduced novels, methods. The detail contribution include the spatial features of a dental x-ray image in a dental featured database. Determining the additional information it solves the model by Lagrange multiplier. Functional neural networks developed progressively with age. In dentistry, clinical radiographs reverberate the intensity loss of an X-ray when being transmitted through the mandibular objects. Dental examination is one of the most important parameter that help us to identify the age of an individual. Teeth are known to aid in personal identification as well as in addition to the age determination as they are highly durable to resist the effect of reaction by chemical and other environmental factors.
Genetic Clustering for Polycystic Ovary Syndrome Detection in Women of Reproductive Age
Authors:   Department of Computer Engineering, Pimpri Chinchwad College of Engineering, Pune, India., Thakare Anuradha D. , Lele Priyanka R. ,   Department of Computer Engineering, Pimpri Chinchwad College of Engineering, Pune, India.
Published: March 2020

Now a days, hormonal disorder causing Polycystic Ovary Syndrome (PCOS) is been observed in most of the women of reproductive age. PCOS causes enlarged ovaries with small cysts on the outer edges. Women with PCOS may have irregularity in menstrual periods or excess male hormone (androgen) levels. The ovaries may develop numerous small collections of follicles (cysts) and fail to regularly release eggs. Symptoms of PCOS include irregular periods, excess androgen, polycystic ovaries, abnormal Body Mass Index, disturbed levels of hormones (Luteinizing Hormone, Follicle-stimulating Hormone, Dehydroepiandros- terone), poor insulin resistance. There is a need to design and develop an optimized system to analyze the sonogram in correlation with the physical symptoms for detection of PCOS at early stage which may result in proper treatment and reduced health loss. This article presents work-in-progress of our proposed research on Intelligent System to detect PCOS. The performance analysis of various Machine learning algorithms like Artificial Neural Network, K- nearest Neighbor and Linear Regression to detect PCOS is presented. Whereas, optimized Genetic Clustering for optimization of classification results is proposed. Basic Genetic Algorithm (GA) and other hybrid GA’s will be used for comparing the optimal results. The classification results are optimized with 89% accuracy
Ultimate Shear Strength of Sand to Concrete Interface
Authors:   Lecturer, Civil Engineering Dept, Helwan University, Cairo, Egypt., Attia M.A. , Eldamarawy M. E. ,   Ass. Lecturer, Civil Engineering Dept, Helwan University, Cairo, Egypt., Anwar M. B. ,   Ass. Professor, Civil Engineering Dept, German University, Cairo, Egypt., Radwan A.M. ,   Prof, Civil Engineering Dept, Helwan University, Cairo, Egypt.
Published: March 2020

One several studies have been performed by many researchers regarding laboratory interface testing. Interface tests were performed to determine the soil to structure shearing resistance angle (δ). This angle is used for the design of geotechnical structures such as friction piles, retaining walls, culverts, etc. Also, test results are useful for determination of parameters for constitutive modeling of interface response. Correlations between sand relative density, and corresponding friction angle (Ø), and interface shearing resistance angles (δ) are obtained. In addition, (δ) is represented as a function in (Ø). These relations are based on degree of interface roughness and particle shape of sand. Two types of sand, and in addition one mix (50%-50%) of the two sand types, are investigated. The first type of sand is siliceous sand and has rounded to sub-rounded particles. The second type of sand is fragments of weathered igneous rock of granite and basalt. This type of sand has angular shaped particles. To form a surface representing the retaining structure, ordinary Portland concrete mix was made from locally available material (sand, ordinary Portland cement and potable water). The mix was then poured into a steel mold having 4 sides 59 mm long, and 19 mm high to fit into the shear box bottom half. In order to simulate a smooth surface of concrete, the mold was placed on to smooth plastic sheet, and then the paste is poured into the mold. Interface tests have been performed on many types of soil-to-structure, soilto-rock, and rock-to-rock interfaces. In this section, previous studies of soil-to-concrete and soil-to-steel interfaces are emphasized. The results of tests performed on both types of interfaces provide valuable insights into fundamental aspects of interface behavior.
Cloud Enabled Healthcare Services and Its Implications
Authors:   Final year student, Department of Information Technology, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Tamil Nadu, Abinesh T. , S Saravanan.M. ,   Professor,Department of Data Science and Computational Intelligence, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Tamil Nadu.
Published: March 2020

Ever since the very first cloud service introduced by Amazon Web Services in 2006 the term ‘Cloud computing’ became buzzing all over the field of Information Technology. Not only in IT field but in all technology related fields and even in business and marketing field began to utilize the Cloud Computing Technology. This technology is so versatile and powerful that apart from running softwares in cloud platform and storing data a whole Operating system can be run. In day-today life we are using more cloud based applications involving healthcare, banking, marketing, education and web search engines, etc. In this paper we are specific on healthcare services because it plays a major role in daily operations such as medication, regular health check-up and emergency based services. Especially cutting edge technology can be very useful in emergency situations
Hydrological Modelling of Catchments at Industrial Sector
Authors:   Professor, Department of Civil Engineering, Kallam HarandhaReddy Institute of Technology, Guntur, A.P., India., Kumar M. Satish , Kumar Ambati Dattatreya ,   Assistant Professor in Department of Civil Engineering, V.R Siddhartha Engineering College, Vijayawada, A.P., India, Palivela Hepsibah ,   UGC- Post Doctoral Fellow, Centre for Women Studies, Andhra University, Visakhapatnam, A.P., India, Raju M. V. ,   Assistant Professor, Department of Civil Engineering, Vignans Foundation for Science Technology and Research, A.P., India., Kumar T. Ch. Anil ,   Assistant Professor, Department of Mechanical Engineering, Vignans Foundation for Science Technology and Research, Guntur, A.P., India.
Published: March 2020

In any nation industries are the major sources for the country economy and also the major source of employment for the people of any nation. Industries are also considered as prime reason for the developmental activities with huge employment potential at the other side the environmental conditions in and around the industries are degrading very rapidly due to the lack of proper supervision on disposal of industrial wastes along with the emissions releasing into the open atmosphere by few of the industries [9] without any concern of human health eventually over a period of time all the effluents and the emissions released into the open atmosphere without treatment shows dangerous consequences on the environment in the society. The major requirements of any industries starts with water only, as the water is prime element for the survival any living organism on the earth and also the water is the prime component for the development of any area but at certain areas the water both surface and ground water [11] sources have been contaminating due to the unethical and unscientific disposal of wastes into the open lands as well as into the nearby water bodies. when we emphasize the reason behind this specific activity we came to understand that improper maintenance of effluent treatment plants and the effluents releasing from them shows its severe impacts on nearby aquatic organisms [3], if the same water is used for domestic activities there will be a damage for human health and sometimes it may leads to the death of the individuals also. In the present study three locations were indentified around the boundaries [8] of catchment based on the entry of flow into the catchments and the samples were collected for three times in the study period of three months, all the samples were marked with labels and analysis [2] was carried out by using prescribed analytical procedures, the results were compared with surface water quality standards [1] specified by Central Pollution Control Board,1979 and the Bureau of Indian standards, 1982 to find out the hydrology of the catchment
Structural and Thermal Analysis of Disc Brake with Slots
Authors:   Mechanical Engineering, Institute of Aeronautical Engineering, Hyderabad, India, Allamraju K. Viswanath , Swaroop B. Sathya Sai ,   Mechanical Engineering, Institute of Aeronautical Engineering, Hyderabad, India, Kumar K. Sharath ,   Mechanical Engineering, Institute of Aeronautical Engineering, Hyderabad, India., Srinivas Ch. Vaishnavi ,   Mechanical Engineering, Institute of Aeronautical Engineering, Hyderabad, India.
Published: March 2020

The design of braking system of a vehicles is very important in order to minimize the accidents and increase the life span of vehicle, with this motto, in this paper presented the structural analysis, fatigue analysis and thermal analysis of disc brake with slots (DBS) is done by considering various materials of DBS such as carbon alloy, steel and carbon steel. The comparison of those materials is studied in various mechanical and thermal properties such as deformation, strain, stress, factor of safety, number cycles under cyclic loading and heat flux. Simulation studies were done in Ansys 14.5 version. It is observed that the heat flow rate is high in carbon alloy and low in carbon steel material of DBS model. Maximum stress is observed in steel in structural analysis.
Pelayanan Perusahaan Daerah Air Minum dalam Penyediaan Air Bersih di Kecamatan Pasan Kabupaten Minahasa Tenggara
Authors: Kuhu Frisca , Dilapanga Abdul R. , Mantiri Jeane
Published: March 2020

Permasalahan dalam penelitian ini yaitu mengenai pelayanan Perusahaan Daerah Air Minum dalalm penyediaan air bersih di Kecamatan Pasan Kabupaten Minahasa Tenggara, dimana masih banyak masyarakat sebagai pelanggan yang seringkali tidak mendapatkan pasokan air yang cukup untuk kebutuhan mereka serta proses penyelenggaraan pelayanan tidak sesuai dengan standar pelayanan keluhan pelanggan yang telah ditetapkan. Adapun tujuan dalam penelitian ialah mendeskripsikan tentang Pelayanan Perusahaan Daerah Air Minum dalam Penyediaan Air Bersih di Kecamatan Pasan Kabupaten Minahasa Tenggara. Metode yang digunakan dalam penelitian ini ialah metode kualitatif. Teknik pengumpulan data yaitu melalui tinjauan pustaka, observasi, wawancara, dan dokumentasi. Sumber data yang diambil antaranya pimpinan perusahaaan, pegawai dan pelanggan, dengan Teknik analisis data yaitu reduksi data, penyajian data dan verifikasi data. Hasil penelitian bahwa Pelayanan Perusahaan Daerah Air Minum dalam Penyediaan Air Bersih di Kecamatan Pasan Kabupaten Minahasa Tenggara belum terselenggara dengan baik atau belum optimal, dikarenakan masih banyak masyarakat sebagai pelanggan yang belum mendapatkan air bersih sesuai dengan kebutuhan pelanggan. Penyelenggaraan pelayanan yang dilakukan oleh pihak PDAM belum sesuai dengan standar operasional prosedur pelayanan publik yang telah ditetapkan. Sarannya untuk PDAM lebih meningkatakan pelayanan yang baik terhadap masyarakat sebagai pelanggan, serta dapat menangani keluhan-keluhan pelanggan agar kebutuhan pelanggan dapat terpenuhi, dan lebih menigkatkan pengawasan di lapangan dan tingkatkan sosialisasi kepada masyarakat.Kata Kunci : Pelayanan Publik, Air Bersih, Kepuasan Pelanggan
Reformulasi Kebijakan Pengaturan Pelintas Batas Antara Indonesia-Philipina
Authors: Rares Joyce Jacinta , Dengo Salmin , Plangiten Novva
Published: March 2020

Kesepakatan Indonesia – Philipina soal hubungan lintas batas (Border Crossing Agreement) telah berjalan lebih 30 (tiga puluh) tahun. Hasil penelitian sebelumnya (Mamentu dan Rares, 2017) memperlihatkan bahwa kesepakatan Indonesia – Philipina soal perbatasan (Border Crossing Agreement) telah bias dari apa yang tertuang di dalamnya. Border Crossing Agreement (BCA) mengatur 3 hal yaitu hubungan kekeluargaan, kegiatan keagamaan dan pleasure. Kenyataannya hubungan lintas batas antara dua penduduk di perbatasan telah berkembang pada hubungan perdagangan, sampai pada kegiatan penangkapan ikan secara bersama-sama yang mekanismenya belum diatur dalam sistem perundang-undangan. Penelitan sebelumnya juga memperlihatkan bahwa dalam kondisi yang seperti ini dan oleh karena kebijakan di dalam negeri yang berbeda, maka keuntungan adalah lebih besar dinikmati oleh pihak Philipina, oleh karenanya menjadi sangat urgen untuk segera meng-update kesepakatan perbatasan antara dua negara, serta merumuskan kebijakan terkait dengan pengelolaan wilayah perbatasan, yaitu Kabupaten Kepulauan Talaud. Penelitian ini berupaya untuk menghasilkan formulasi kebijakan konkrit soal pengaturan hubungan lintas batas antara masyarakat Kabupaten Kepulauan Talaud dan Philipina Selatan, agar supaya keuntungan dari hubungan lintas batas ini menjadi berimbang. Hasil penelitian ini diharapkan dapat menjadi isi dari regulasi formal yang mengatur hubungan penduduk antara dua wilayah ini.Kata Kunci : Border Crossing Agreement, bias kesepakatan, update kebijakan