bluuebunny/crossref_metadata_2025 huggingface dataset:
Calibrating Thresholds Based on Trade-Offs Between Detection Accuracy and FPR for Copy Move Forgery Detection
Authors:   University Institute of Engineering and Technology, Panjab University, Chandigarh, India., Walia Savita , Kumar Krishan ,   University Institute of Engineering and Technology, Panjab University, Chandigarh, India.
Published: August 2019

In this paper, prominent keypoint based features are compared in order to analyze their reliability and efficiency against forgery detection. Four features specifically SURF, KAZE, Harris corner points and BRISK features are used individually on a set of images. The method includes four phases: Image pre-processing, keypoint detection, feature vector description and feature vector matching. In feature matching, MaxRatio has been chosen as a varying parameter for calculating values of false positives and false negatives for each feature. MaxRatio defines the ratio for rejecting ambiguous matches of feature descriptors in the images. The optimal threshold value for MaxRatio is calibrated with the help of trade-off between detection accuracy and false positive ratio. The changes in false negative ratio and false positive ratio are picturized in order to find out optimal threshold for detection accuracy. ROC curves are also plotted for each feature at different values of MaxRatio and area under the ROC curves are calculated. The experiments are performed on two benchmark datasets, namely CASIA version 2.0 and MICC-F600. It has been perceived from experimental outcomes that KAZE features gave best values for all the performance metrics namely accuracy, precision, area under the ROC curve and F1-score with little compromise in time complexity, whereas Harris corner points gave the worst results as compared to rest of the features. Further, in order to improve the execution time, the computation of non-linear scale space process in KAZE can be simplified and GPU programming for real-time performance may also be used.
Design and Performance Analysis of Rural Aquaculture Ponds using IoT
Authors:   Dept. of Computer Application, North Orissa University, Baripada, India., Nayak Sonalika , Mantri Jibendu Kumar ,   Dept. of Computer Application, North Orissa University, Baripada, India., Swain Prasanta Kumar ,   Dept. of Computer Application, North Orissa University, Baripada, india.
Published: August 2019

Rural aquaculture is mostly based on open pond system. People in rural areas depend on aquaculture not only for food but also for livelihood. These are unmanaged fish ponds and deprived of any technological touches. To increase the livelihood, establishment of managed ponds and use of low cost IoT technology for monitoring fishponds is an important issue. By monitoring water parameters like PH, temperature, Turbidity fish growth can be increased. In this paper we have proposed a multiple fish pond design controlled by single center and wire and wireless mode of data collection. The proposed model is simulated using NetSim to generate network performance matrices. To achieve a prolonged battery life, concept of energy harvesting at sensor node level is introduced in the simulation study.
Effect of Fire on Prefabricated Concrete Beam Column Connections
Authors:   Department of Civil Engineering, V R Siddhartha Engineering College, Vijayawada, India., Teja Ch.Subramanyam , Moturu Tej Sai ,   Department of Civil Engineering, V R Siddhartha Engineering College, Vijayawada, India., Kumar G.Yaswanth ,   Department of Civil Engineering, V R Siddhartha Engineering College, Vijayawada, India., Khan Haroon Ali ,   Department of Civil Engineering, V R Siddhartha Engineering College, Vijayawada, India.
Published: August 2019

The objective of this work is to study the performance of the beam column connections in precast structures exposed to fire. Three different connections were considered for the study. The first one is monolithic and the remaining two are precast specimens joined through hybrid and corbel connections. This study is carried out in two phases. The first part of this study is experimental investigation of three beam-column specimens subjected to axial load until failure. The second part is experimental investigation of the beam-column specimens exposed to fire and axial load. The results suggest that irrespective of the fire, among the monolithic, hybrid and corbel connections of beam-column specimens, the specimen with corbel connection has the best performance in terms of toughness of the joint.
Extreme Learning Machine for Thyroid Nodule Classification with Graph Cluster Ant Colony Optimization Based Feature Selection
Authors:   Research Scholar, Dept. of CSE, Nagarjuna University, Guntur, AP, Uddin Sayyad Rasheed , Rajasekhar Rao Dr.Kurra Raja ,   Prof. Dept of CSE, Usha Rama College Of Engg And Technology, Vijayawada
Published: August 2019

Thyroid nodule is defined as an endocrine malignancy that occurs in humans due to abnormal growth of cells. Recently, an increasing level of thyroid incidence has been identified worldwide. Thus, it is necessary to detect the nodules at an early stage. Ultrasonography is an important tool that is utilized for the detection as well as differentiation of malignant thyroid nodules from benign nodules. The nodules in ultrasound appear in different heterogenic forms, which are difficult to differentiate by the physicians. Further, large number of features available in US characteristics increases the computation time as well as complexity of classification. In this paper, Graph-Clustering Ant Colony Optimization based Extreme Learning Machine approach is proposed to achieve efficient diagnosis of thyroid nodules. It will enhance thyroid nodule classification by selecting only the optimal features and further using it for improving the function of classifier. The main goal of this technique is to differentiate the malignant nodules from the benign nodules. The performance of both feature selection and classification are evaluated through parameters such as accuracy, AUC, sensitivity and specificity. From the experimental results, it is revealed that the proposed method is significantly better than the existing methods. Thus, it is considered to be an effective tool for diagnosing the thyroid nodules with less complexity and reduced computation time.
Economical Smart Agriculture Monitoring System
Authors:   Lokmanya Tilak College of Engineering, Koaprkhairane, Navi Mumbai, Gurnule Pranjali V.
Published: August 2019

In recent times, where technology is playing major role in all the aspects of our life ,farming which is majorly affected by various environmental fators need enhanced ways in order to improve the yeild of crops. In this paper we have discussed the use of IoT technology to help the farmers detect the favourable envornmental conditions such as temperature, humidity, soil moisture and water level with the help of various sensor implemntation . The system will compare the information collected from hardware module with the standard information stored for each seed in database and provide details of the seeds that will be appropriate to be cultivated under the environmental conditions that are obtained from the wireless sensors. Nowadays, the emerging Internet of Things (IoT) along with Wireless Sensor Networks (WSNs) with their low-cost sensors and new opportunities provide a more precise, site-specific, and sustainable agriculture in the context of Smart Farming.
Classification of Textures Based on Ternary Transition Motif Matrix Features
Authors:   Research scholar, Sri Chandra sekhar Indra Saraswathi Viswa Maha vidyalaya University, Kanchipuram & Asst. Professor, Dept. of CSE, Manipal Institute of Technology, MAHE, Manipal, Kishore B. , Kumar V. Vijaya ,   Professor & Dean , Dept. of CSE & IT, Aurag Group of Institutions , Hyderabad, Telangana, India,
Published: August 2019

The various classification methods proposed in the literature are mostly extracted either local features or global features or color features. After an exhaustive study on various local, global and color descriptors this research found that one type of features may not yield good classification results. To address this paper, proposed new variant that integrates the color features derived from HSV color plane and transition based scan features. This paper initially converted RGB color plane image in to HSV color plane. The individual histograms of H, S and V plane are extracted as one of the features and these are named as pure color features. This paper derives a novel extension to the exiting motif frame works of the literature. The proposed ternary transition motif matrix (TTMM) is completely different from the existing motif frameworks and it is derived on the V-plane of the HSV color model. The TTTM scans the given 2x2 grid in a fixed format by visiting each pixel position exactly once. The TTMM derives a ternary transition pattern based on the relationship between grey level intensities of current pixel and its immediate pixel of scan instead of traversing on the incremental difference. The proposed TTMM derives a unique code for each 2x2 grid, ranging from 0 to 80 and replaces the 2x2 grid with this value. The co-occurrence matrix derived on this ternary transition motif (TTM) coded image is named as TTMM and it holds the spatial relationship between the TTM coded grids. The gray level co-occurrence matrix (GLCM) features derived on TTMM are integrated with the pure color features to derive final feature vector. This descriptor is applied on six popular databases using machine learning classifiers. The results are compared with existing motif based and other local based approaches. The results exhibit the high classification rate of the proposed method over the existing ones.
Innovation Capability Improvement in Digital Creative Industries
Authors:   Information Systems Department, School of Information System, Bina Nusantara University, Jakarta, Indonesia., Heripracoyo Sulistyo , Prabowo Harjanto ,   Management Department, BINUS Business School, Bina Nusantara University, Jakarta, Indonesia., Kosala Raymond ,   Computer Science Department, School of Computer Science, Bina Nusantara University, Jakarta, Indonesia., Gaol Ford Lumban ,   Computer Science Department, Doctor of Computer Science, Bina Nusantara University, Jakarta, Indonesia
Published: August 2019

This paper aims at examining the effect of cloud computing and big data management on innovation capabilities with particular reference to the context of digital creative industries. For that purpose, both qualitative and quantitative methods were applied in the study. Accordingly, quantitative data were gathered from an empirical survey as well as qualitative data gathered from focus group discussions. The results provide a descriptive data in the implementation of cloud computing and big data management as well as innovation capability and performance in the digital creative industry. Statistical analysis shows that cloud computing, big data management, and innovation capability simultaneously affect the company's performance significantly. However, there was no significant effect, either simultaneously or partially, of cloud computing and big data management on innovation capability. This study provide a benchmark of how the management of information technology can influence the implementation direction of cloud computing and big data management in the digital creative industries’ innovation capability. The findings also provide a new knowledge in a literature on performance improvement in the digital creative industries.
Multiplatform Application User Interface Design Based on Spreadsheet
Authors:   Doctor of Computer Science, Bina Nusantara University, Indonesia., Noprianto  , Soewito Benfano ,   Computer Science Department, BINUS Graduate Programs, Bina Nusantara University, Jakarta, Indonesia., Gaol Ford Lumban ,   Doctor of Computer Science, Bina Nusantara University, Indonesia., Abbas Bahtiar Saleh ,   Doctor of Computer Science, Bina Nusantara University, Indonesia.
Published: August 2019

User interface plays an important role in an application: it is what users directly see and feel. It is also what programmers spend much time on. Therefore, many tools to ease the user interface development are available. Many of them are part of integrated development environment (IDE) of programming languages. Some of them are more generic and available for a few user interface toolkits or programming languages. However, these tools usually assume their users are targeting specific platform: desktop, web, or mobile application. While generic tools are sometimes generous enough, they usually cannot make it totally independent of underlying toolkit or programming languages. Modeling tools exist, but it means learning something new. This is one of the backgrounds for what we propose in this paper. An application user interface model based on spreadsheet: software packages that have been around for almost four decades. We emphasize multiplatform output: design once and output in several platforms (we provide two: desktop and web; adaptable to more). We do not assume a specific toolkit or programming language, but we still care about styles. Our experiments prove this method is usable and results in quicker user interface prototyping—even for professional programmers—with development time comparison ranging from 26.7% (best) to 80%.
On Generalized Intuitionistic Fuzzy Knowledge Measure and its Application in MADM using Combined Weights
Authors:   School of Mathematics, Shri Mata Vaishno Devi University (SMVDU), Katra (182320), J & K, India., Singh Surender , Sharma Sonam ,   School of Mathematics, SMVDU, Katra (182320), J & K, India.
Published: August 2019

The role of the fuzzy sets is eminent in the study of the ambiguous type of information. Generalizations and extensions of fuzzy sets have led to a broader analysis of these types of researches. In this communication, we suggest a generalized knowledge measure of an intuitionistic fuzzy set (IFS). We compare several existing intuitionistic fuzzy entropies and knowledge measures with our proposed intuitionistic fuzzy (IF) knowledge measure which indicates that the proposed IF-knowledge measure has a greater ability in discriminating different IFSs. We also apply our proposed intuitionistic fuzzy knowledge measure in multi-attribute decision-making (MADM) problem by using combined weights i.e., objective and subjective attribute weights.
Implementation of Intelligent Algorithms for Pitch Angle and Output Power Control of Dfig Wind Turbine System.
Authors:   PG Research Scholar, Dept. of Electrical Engineering, JNTUA, Anantapur, AP, India., Priyadarsini N. , Reddy M.Ramasekhara ,   Assistant Professor, Dept. of Electrical Engineering, JNTUA, Anantapur, AP, India., Kumar M.Vijaya ,   Professor, Dept. of Electrical Engineering, JNTUA, Anantapur, AP, India.
Published: August 2019

The blade pitch angle is the vital part of wind energy system in getting desired output power. PID controller with the modified gains is considered as flexible and is administered for the regulation of blade pitch angle of turbine in this paper because of its lucidity, intermittent in its functionality and with easy usage in control system. FLC has powerful approach for collecting wind turbine response over PI controller where the speed and generator output power acting as input control variables for FLC with which these variables are evenly responsible to maintain proper aerodynamic power and its speed at rated value without any disturbance in output power and at gust speeds, the intelligent algorithms are been implemented to control the pitch angle upon adjusting the angle between the chord line of blades by adopting to new learning techniques as per the data collected. ANFIS had both the features of ANN and Fuzzy Logic Controllers by using Particle Swarm Optimization which gives the better response over the typical PI controller. This paper gives the information of supremacy of FOPID controller with PSO tuning over the other existing controllers. The dominance of the proposed method is made evident with the simulation results using 9MW WTS using MATLAB Simulink.
TrendNet Algorithm: Towards Personalization of Twitter Trends
Authors:   Department of Computer Science, Sri Guru Granth Sahib World University, Fatehgarh Sahib, Punjab, India., Kaur Kamaljit , Dhindsa. Dr. Kanwalvir Singh ,   Department of CSE & IT, Baba Banda Singh Bahadar Engineering College, Fatehgarh Sahib, Punjab, India
Published: August 2019

Twitter displays a list of currently popular keywords and hashtags on the user homepage which are referred as trends. Trends play an important role in discovering the hottest emerging topics of discussion and also help in categorizing the tweets through which the user can easily find similar tweets in that group. Twitter provides its user with a list of top ten trending topics but these trends are general topics which are popular based on the user location and are not context sensitive. These suggestions are not personalized. This paper examines an application for finding personalized trending topics on Twitter. We propose a novel real time trend recommendation system referred as TrendNet that helps its users to find what is currently popular in their network of friends by considering both the tweet content and the social structure. Comprehensive experiments on real Twitter users having different interests were conducted in order to evaluate the effectiveness of the algorithm. The results demonstrate that our scheme provides more accurate and personalized recommendations of trends as compared to the existing scheme.
Organization of Pedagogical Control of Trainees’ Physical Preparedness Based on on-Line Service “As Phcsc Rld” Application
Authors:   Surgut State Pedagogical University, Russia., A. V Fursov , N. I Sinyavskiy ,   Surgut State Pedagogical University, Russia., Ivanova Natalia L ,   Tyumen Industrial University, Russia., Peteraitis Sergey K. ,   Togliatti State University, Russia.
Published: August 2019

The article presents the results of on-line service “AS PhCSC GTO” application in pedagogical control implementation in an educational institution in automation of information processing for management of trainees’ physical training in a comprehensive school. On-line service “AS PhCSC GTO” application in pedagogical control implementation in an educational institution allows providing the main task (achieving the model level of physical preparedness (Gold, Silver, Bronze) of the main group) with effective solution, and also trainees support for physical preparedness correction.
Cross Opposition Based Differential Evolution Optimization
Authors:   Department of Computer Science & Engineering, Amity School of Engineering & Technology at Amity University Rajasthan, Jaipur, India., Sharma Shweta , Yadav Ashwani Kumar ,   Department of Electronics & Communication Engineering, Amity School of Engineering & Technology at Amity University Rajasthan, Jaipur, India., Sinwar Deepak ,   Department of Computer and Communication Engineering, School of Computing & Information Technology at Manipal University Jaipur, Jaipur, Rajasthan, India, Naruka Bhagyashri ,   Department of Computer Science & Engineering, Amity School of Engineering & Technology at Amity University Rajasthan, Jaipur, India., Vaishali  ,   Department of Computer and Communication Engineering, School of Computing & Information Technology at Manipal University Jaipur, Jaipur, Rajasthan, India.
Published: August 2019

Differential Evolutionary (DE) Algorithms is one of the most popular metaheuristic approach. For optimization purpose DE is very useful to solve various kind of problems. In addition to that the paper offers a Cross-Opposition Based Differential Evolution (CODE). An impression of Opposition-based learning (OBL) is incorporated in population initialization phase and in step of crossover. The performance of algorithm is analysed for different mutation strategies of DE and various other existing approaches. Results demonstrated that the algorithm outperform in terms of convergence speed, versatile population and dimension size.
Spam Detection and Recovery Model for WSN
Authors:   B.E, in Electrical and Electronics Engineering from Bharathiyar University Coimbatore Tamil Nadu, and M.Tech in Information Technology from Tezpur Central University Assam., Srivastava Ashish Kumar , Goel Aditya ,   Associate Professor in the Deptt. of Electronics & Communication Engineering at Maulana Azad National Institute of Technology(Deemed University) , Bhopal, India., Srivastava Jyoti ,   Assistant Professor in Madanapalle Institute of Technology and Science, Madanapalle, Andhra Pradesh.Jyoti has completed herM.Tech and PhD from IIIT Allahabad
Published: August 2019

Wireless sensor network (WSN) is susceptible tovarious kind of security attacks; one among them which is more prevalent isDoS(Denial of Service)attack. Spam message consumes most of the node energy and cause energy constraints node to drain with energy. So the prevention of such kind of attack is required in WSN. To solve this issue we are using a systematic approach of identifying spam message which may leads to the DoS attack. We are using a set of mobile agents which perform specifically assigned task to control overflow of excess Spam messages so as to stop DoS attack. The proposed spam prevention model for the MA(Mobile Agent)[9]is experimented on WSN. The proposed model Restrict the unnecessary MAs roaming and cloning are minimized and thus the energy can be saved. To calculate the threshold value we have used two techniques; one is based on the number of itinerary the clone threshold is set and the other is based on the simple moving average method so as to calculate the threshold value for the number of remote MAs. Based on the previous threshold values the new threshold value is calculated. The analysis shows that as the node is increasing from 1 to 10 how drastically Anti MA’s clone generated in when DADR model is not used and how the number reduces when DADR model is used. Subsequently energy is saved by applying DADR model. Through this proposed modelDoS attack detection and Recovery Model (DADR), we can avoid the spam attack in the MA based wireless sensor environment and save energy of resource constraints WSN and hence increase its life.
Lorentz Chaotic System key generation with Low Area FPGA Implementation using Present Security Algorithm
Authors:   Assistant and Associate professor. Research Scholar in ECE Department of GITAM deemed to be University, Visakhapatnam, India,, Parikibandla Srikanth , Alluri Dr. Sreenivas ,   Associate Professor in the Department of Electronics and Communication Engineering, GITAM Deemed to be University, Visakhapatnam, India,
Published: August 2019

Recently, the study of lightweight symmetric ciphers has gained more importance because of high requirement in the services for security in the CCNs (Constrained Computing Environments): Wireless Sensor Network (WSN), Internet of Things (IoT). A lightweight cipher is a cryptographic algorithm which is used for low resource device, minimal area optimization, low power design and attains sufficient security level. Size of the key is considered as major challenges in the cryptographic algorithms, because it increases the complexity of the cryptographic algorithm. To overcome this issue and improve the security, Lorentz Chaotic System (LCS) based PRESENT architecture is introduced in this research. The PRESENT lightweight block cipher is selected due to it is most general and famous lightweight algorithms. Hence, the random numbers were generated for a key purpose by using an LCS circuit. The streaming data will be encrypt and decrypt by using this algorithm. In this research, the modified lightweight block cipher algorithm is called as LCS- PRESENT architecture. Finally, the performance of LCS - PRESENT architecture was evaluated by FPGA hardware utilizations such as Lookup Table (LUT), flip flop, slices, and frequency. The security level of LCS- PRESENT architecture was analysed based on encrypted and decrypted results in XILINX tool. The LCS- PRESENT architecture utilizes the FPGA device to attain maximum accuracy and throughput, such as 30 of LUTs, 115 of flip flops and 47 of slices from available sources compared to existing cryptographic algorithms.
Ransomware: An Illustration of Malicious Cryptography
Authors:   Ph.D. Research Scholar in the Department of Computer Science and Engineering, Punjabi University Patiala., Singh Jagsir , Singh Dr. Jaswinder ,   Associate Professor in the Department of Computer Science and Engineering, Punjabi University, Patiala.
Published: August 2019

Malware are the serious threat to the computer systems. Malware are written for many reasons: for stealing confidential data, for financial gain or to affect the working of the computer system. Ransomware is the most disastrous kind of malware which encrypts the user’s whole data and demands ransom (money) to decrypt the data. The user has to pay ransom for getting the decryption key. This becomes the nuisance of encryption algorithms which are used in ransomware attacks. In this paper, a study of ransomware malware is done with the perspective of encryption algorithms.
Design and Implementation of Fpga Based Digital Switching Controller for Dc-Dc Converters Used In System- On- A-Chip Applications
Authors:   Department of EIE, Sri Ramakrishna Engineering College, Coimbatore, India, Radhika Dr.V. , Baskaran Dr.K. ,   Department of EEE, Algappa Chettiar Government College of Technology, Karaikudi, Srinivasan Dr.K. ,   Department of EIE, Sri Ramakrishna Engineering College, Coimbatore, India
Published: August 2019

DC-DC converters are electronic devices that are used to change DC electrical power efficiently from one voltage level to another. This paper proposes a new Digital Pulse Width Modulator (DPWM) which generates variable duty cycle PWM pulse and it can be used as switching controller for DC-DC converters used in battery powered portable electronic and mobile devices. DPWM utilizes the advantage of Digital Clock Manager (DCM) present in FPGA to multiply the clock frequency to eliminate the clock skew. The proposed DPWM uses the four bit gray counter and one hot encoder with SR flip flop to generate the PWM pulse whose duty cycle can be varied according to the control signal. To verify the results DPWM was implemented in SPARTAN 3A.
Improved Network Lifetime in Mobile Wireless Sensor Networks using Adaptive Algorithms
Authors:   IT Department, Higher College of Technology, Muscat, Sultanate of Oman., Sharma Dr. Tripti
Published: August 2019

Mobile Wireless Sensor Networks (MWSNs) have gained a lot of attention because of their applicability in different types of applications such as environment, healthcare, agriculture, industry automation, public safety, security and military surveillance. MWSNs are suffered from poor network lifetime because of the continuous disconnections between the mobile sensor nodes as they have limited battery power. This paper proposed and implement an adaptive algorithm(d-DSR) (implemented in DSR routing protocol) using ns-2.34,that handles the continuous disconnections because of low battery power of the mobile sensor nodes and improves the performance of the network in terms of throughput, packet delivery fraction, delay and network lifetime.
Optimal Resource Scheduler for LTE A Based Networks
Authors:   Electronics and Communication Engineering, Sri Krishna College of Engineering and Technology, Coimbatore, Tamil Nadu, India., Karpagam Dr.M. , Balaji Dr.V.R ,   Electronics and Communication Engineering, Sri Krishna College of Engineering and Technology, Coimbatore, Tamil Nadu, India., Prabha Dr.D. ,   Computer Science and Engineering, Sri Krishna College of Engineering and Technology, Coimbatore, Tamil Nadu, India
Published: August 2019

Long Term Evolution (LTE) may be a commonplace for prime rate radio transmission for cellular telephone and knowledge terminal. It is a complex technology that provides an accumulated network capability and speed by employing a totally special wireless interface beside the counter work enhancements. In the proposed method we deal with the setback of bandwidth administration in LTE-A systems and suggest valuable and profitable solutions to improve the quality of support in these networks. This paper presents an Optimal Resource Schedule which enhances the system throughput of LTE A based networks.
Decentralized Time-Window Based Real-Time Anomaly Detection Mechanism (DTRAD) in Iot
Authors:   Indian Institute of Management Tiruchirappalli, Tiruchirappalli, India., Sanjith S L , Prakash Raj E. George Dharma ,   Bharathidasan University, Tiruchirappalli, India.
Published: August 2019

Detecting intrusions has become a mandatory service in IoT environments. This is due to the power and resource con-strained nature of the networks. This paper presents a Decentralized Time-Window based Anomaly Detection (DTRAD) model for cost and time effective intrusion detection in IoT environments. The proposed model is composed of time win-dow based training data selection module, which enables better detection and reduced bias. Training data are selected based on their temporal significance and the bag creation process is also temporally performed such that data with similar temporal signatures are grouped into same bags. The ensemble model is created and weighted voting is performed to ena-ble better results. The data reinforcement module enables new data to be appended to the training data, hence maintaining the recency of the data. Further, the entire process is decentralized, hence enabling data processing at appropriate nodes. This keeps the size of the training data low, hence reducing the computational complexity of the model to a large extent. Experiments were performed with benchmark data and comparisons were performed with recent models. Results indicate high performance of the proposed models.
Effect of Variable Slopes on the Flow Conditions for Side Channel Spillway.
Authors:   Civil Engineering Department, Bharati Vidyapeeth Deemed (to be) University college of Engineering, Pune, India., Patil Miss Snehal R. , Kulkarni Prof. Mrs. Deepali ,   Faculty, Civil Engineering Dept. Bharati Vidyapeeth Deemed (to be) University College of Engineering, Pune, India., Joshi Prof. Mr. Vilas B. ,   Visiting Faculty, Civil Engineering Dept. Bharati Vidyapeeth Deemed (to be) University College of Engineering, Pune, India.
Published: August 2019

Spatially varied flow occurred in many hydraulic structures with the variable discharge including the main spillways designed for normal flood discharge and head above the sill at the crest, where hydraulic analysis of flow conditions have established through the research work carried at various laboratories, Efforts have been made here in this paper to assessment the flow in the receiving channel of a side channel spillway which is required to be provided to byepass the excess discharge above FRL during high floods. The present conditions particularly occur with earth dams where a conventional spillway cannot be used due to the settlement of the wall. The experimental studies were carried out for side channel spillway by using 3-D physical model to the scale of geometric similar scale (1/100). Experiments were carried out at Department of Civil engineering hydraulic laboratory, B.V.D.U.C.O.E, Pune. Side channel bottom was kept at the same level of spillway. Various experiments were carried out on the model of trapezoidal side channel spillway model, for different discharges varying from 1 lit/sec to 3 lit/sec for the different slopes from 0° to 20°. Coefficient of correlation varies from 0.80 to 0.98 which is fairly good. Maximum water depths for the higher discharge when channel is horizontal and depths decrease as slope of channel increases. Water surface profiles and discharge versus depths graphs were drawn from the hydraulic studies which may provide the guidelines related to flow conditions at side channel spillway.
Scalable Synthesis of Aluminium Oxide Nanoparticle for Cost Minimization in Battery Electrode
Authors:   Manufacturing Section, Universiti Kuala Lumpur Malaysian Spanish Institute, Kulim, Malaysia, Sulaiman Shahruzaman , Hassan Azmi ,   Electrical Electronic and Automation Section, Universiti Kuala Lumpur Malaysian Spanish Institute, Kulim, Malaysia, Abu Bakar Muhamad Husaini ,   Manufacturing Section, Universiti Kuala Lumpur Malaysian Spanish Institute, Kulim, Malaysia, Mohamed Noor Ahamad Zaki ,   Manufacturing Section, Universiti Kuala Lumpur Malaysian Spanish Institute, Kulim, Malaysia
Published: August 2019

Nanoparticle is hard to produce because the process is difficult, and the material amount is always insufficient. In conjunction, a high amount of cost will be used to produce nanoparticle. In addition, the current material to produce nanoparticle are expensive, hard to obtain and depleting. Hence, Aluminium oxide (Al2O3) was introduced to solve the problem exist with the current nanoparticle. In this paper, research was conducted for the manufacturer to provide a large amount of fine Al2O3 nanoparticle hence cost saving. Electric Discharge Machine (EDM) was used to produce the nanoparticle. Several stages will be drafted put in this paper in order to achieve the objectives. The stages involved was developed a new chamber for Al2O3. The next stage is to use this device and synthesis of the nanoparticle. This research is followed by extraction of the nanoparticle. Then, the samples were measured and characterize the Al2O3 nanoparticle. Currently, the size of Al2O3 nanoparticle obtained is 800nm. Hence, the experiment will be proceeded in order to achieve Al2O3 nanoparticle size from 1nm to 100nm. The aluminium nanoparticle should be improved in all aspects compare to the current material nanoparticle.
The Role of Educational Action Research of Recycling Process to the Green Technologies, Environment Engineering, and Circular Economies
Authors:   Waseda University,, Wu Haishang , Wu Raymond ,   Japan Government Project Researcher
Published: August 2019

Recycling process in waste management reduces the cost of waste handling, minimizes cost of raw materials and processing, and simplifies supply chain management. It introduces 3D printing design and circular economies and significantly impacts green technologies and environment engineering in terms of waste management and materials processing. Educational action research play crucial role in communicating designer, stakeholder, consumer, and distributed in end-to-end recycling process. It fosters the entitiesacross value chain and accelerates the modernization of waste management processes.
Preparation of Drainage Map using Geo informatics
Authors:   Research Scholar, Department of Electronics & Communication Engineering, K.L. University, Green Fields, Vaddeswaram-522502, Guntur (Dt), A.P, India., Kumar Kallakunta Ravi , Asadi Siva Sankar ,   Associate Professor, Department of Civil Engineering, Vignan’s Foundations for Science, Technology and Research, Vadlamudi, Guntur, A.P, India., Kolluru Venkata Ratnam ,   Associate Professor, Department of Electronics & Communication Engineering, K.L. University, Green Fields, Vaddeswaram-522502, Guntur (D.t), A.P, India., Raju M.V. ,   Assistant Professor, Department of Civil Engineering, Vignan’s Foundation for Science Technology and Research, Vadlamudi, Guntur, A.P, India
Published: August 2019

Remote sensing Technology is influences to lesad the everyday life of human beings, ranging from to study the weather changes and Resources management. This attempt deals with the use of Geospatial Technology for preparation of drainage nets work mapping of Vamsadhara River Basin to study the drainage characteristics. The geo coded Remote sensing Satellite data and toposheets collected from Survey of India to conduct primary study. Visual Interpretation technique has been applied and field work also done to gathered the data from different departments to prepare the final drainage map. This drainage map has been scanned and digitized using Arc Info software .the generated digital information is linked with the spatial and attribute data base. Integration of above data using GIS software drainage map has been prepared. This type of drainage map is very useful for decision makers to effective water management and monitoring of water resources based on the predetermined water resources action plan.
Design of Digital Filter by Differential Evolution
Authors:   Research scholar of Department of Electronics Engineering, KIT’s College of Engineering, Shivaji University, Kolhapur., Kadam Prof. Sudhir Adhikrao , Chavan Prof. Dr. Mahesh S. ,   Professor & Dean, KIT’s College of Engineering, Kolhapur India.
Published: August 2019

This methodology for stable and robust design of FIR filters. Differential evolution (DE) is taken as a global search technique and it uses local search algorithm to find the optimal solution for the design. DE is implemented here to design low pass, band pass as well as high order filters and results which are obtained can also be applied to higher order filters. The recombination approach involves the creation of new candidate solution components based on the weighted difference between two randomly selected population members added to a third population member. This perturbs population members relative to the spread of the broader population. In conjunction with selection, the perturbation effect self-organizes the sampling of the problem space, bounding it to known areas of interest.
2907 Published By: Blue Eyes Intelligence Engineering & Sciences Publication Retrieval Number B2463078219/19©BEIESP DOI: 10.35940/ijrteB2463.078219 Journal Website: www.ijrte.org Classification of Gene Expression Data Set using Support Vectors Machine with RBF Kernel
Authors:   Dept of Computer Science &Engg, GMR Institute of Technology, Andhra Pradesh, Ramachandro M , Bhramaramba Ravi ,   Dept of Information Technology, GITAM, Andhra Pradesh
Published: August 2019

The huge amount of data being generated by different organizations and its underlying advantages in multiple fields like decision making, data security, research purposes have made data classification a very important and mandatory process now-a-days. Data Classification is the process of grouping data of similar characteristics into categories. Classification can be done based on the output we are looking forward to. Hence it is considered very useful. Classifying data allows us to predict the nature of future data-sets and discover useful patterns among them. This project aims at classifying gene data sets. Gene data sets are the information collected from a set of genes put to a specific test. It can be used for medical research purposes; by studying the pattern in the datasets allows us to predict the kind of genes that are more vulnerable to a particular disease there by allowing us to prevent the manifestation of the disease right at its beginning, just as they say, prevention is better than cure. In this paper, such classification is effort using a supervised machine learning algorithm – SVM (Support Vector Machine). There are many algorithms in existence to perform classification but this algorithm has its own lead over the others. It is capable of both classification and regression. It works well with structured, semi-structured and unstructured data too. It contains a kernel function which when used appropriately can solve any complex problem. The summary of this project is, taking gene data sets as input and obtaining classified clusters as output.
Nano Coat as an Effective Replacement for Bearing Liner
Authors:   Research scholar, Department of Mechanical Engineering KoneruLakshmaiah Educational Foundation (Deemed to be University), Vaddeswaram, MALLIK K.S.K. , RAMANA K.V. ,   Professor, Department of Mechanical Engineering KoneruLakshmaiah Educational Foundation (Deemed to be University), Vaddeswaram
Published: August 2019

This work highlights an experimental investigation on the surface roughness and hardness of a nano composite, which can replace the liner of a journal bearing. There is a possibility of rotation of bearing liner, due to inconsistent rotation of the journal about its geometrical axis. At the same time, the liner may have sliding action inside the bearing over a period of time. The said drawbacks can be eliminated by replacing the bearing liner by a nano coat. Babbitt is the most widely used material for bearing liner. The Tin of Babbitt alloy has been replaced by cadmium due to its low coat and better mechanical and thermal properties. The results show that, Cadmium is offering better surface roughness and hardness in comparison with the Babbitt.
Strengths of Geo Polymer Concrete by Adding Metakaoline
Authors:   Assistant Professor in Malla Reddy Institute of Technology. Hyderabad, Kumar Mr.Naveen , kumar Mr.S.Kailash ,   Assistant Professor in Malla Reddy Institute of Technology, Hyderabad, Prashanth Mr.Gundrala ,   Assistant Professor in Malla Reddy Institute of Technology. Hyderabad
Published: August 2019

Based0on the results obtained from this study0,the following Conclusions seems to be valid. The increase0in percentage replacement of Fly Ash with Metakaoline from 0% to 10.00% causes increase in Slump value up to 5% and beyond that slump is decreased. This0shows workability is reducing as percentage of Metakaoline increased beyond 5%. Hence, 5% replacement of Fly ash with Metakaoline is suitable from workability0point of view. The increase in percentage replacement0of Fly ash with0Metakaoline from 0% to 5% causes increase in compressive strength of concrete from 17.6MPa to 22.6MPa. Further0increase in percentage replacement of Fly ash with Metakaoline from 5% to 10% causes decrease in the0compressive strength from 22.6MPa to 18.7MPa. Hence, 5.00% replacement of Fly Ash with Metakaoline is advisable from compressive strength point of view .The increase in percentage replacement of Fly ash with Metakaoline from 0% to 5% causes increase in0Split Tensile strength of concrete from 3.72MPa to 4.68MPa. Further0increase in0percentage replacement of Fly ash with Metakaoline from 5% to 10% causes decrease in the split Tensile strength from 4.68MPa to 3.94MPa. Hence, 5.00% replacement of Fly Ash with Metakaoline is advisable from Split Tensile strength point of view. The increase in percentage replacement of Fly ash with Metakaoline from 0% to 5% causes increase in0flexural strength of concrete from 3.0 MPa to 3.36 MPa. Further increase in percentage replacement of Fly ash with Metakaoline from 5% to 10% causes decrease in the flexural strength from 3.36MPa to 3.2MPa.Hence 5.00% replacement of fly ash with Metakaoline is advisable from flexural strength point of view.Finally,it can conclude keeping in view of the workability ,compressive strength ,split tensile strength and flexural strength in mind,5% replacement of fly ash with Metakaolin is recommended for use in GEO POLYMER CONCRETE (GPC).
“Optimization of Plant Layout in Manufacturing Industry”
Authors:   PG Scholar, ME-IEM (3Y-PT), Department of Mechanical Engineering, IET, DAVV, Indore, India., Goyal Gaurav , Verma Dr. Devendra S. ,   Asstt. Professor, Department of Mechanical Engineering, IET, DAVV, Indore, India.
Published: August 2019

The world’s globalization and consolidation result in increased competition for manufacturing industry. A factory must always attempt to achieve world class manufacturing and quality to survive long in the growing market. Therefore it is important for a MSME sector (Manufacturing Industry) to develop their way of working continuously as per World Class Standards. In this research work, current layout of a manufacturing MSME industry is studied and a new layout is developed based on the systematic layout planning to reduce the meter movement, searching time and increase productivity. The company has presently working on processes layout. The number of equipment/machineries available and meter movement have been analyzed. The detailed study of the plant layout such as operation process chart, activity relationship chart and the relationship between equipment and area has been investigated. The new plant layout has been designed and compared with existing plant layout with the help of Spaghetti Diagram. The new plant layout shows that distance and overall cost of material flow from stores to dispatch area are significantly decreased. The implementation of proposed model will help in the overall improvement of production performance of manufacturing industry. This research work also helps to other small industries having such type process layout in increasing their productivity and achieving 100 % efficiency.
Monitoring the Construction Project by 4D Application of GIS
Authors:   Department of Civil Engineering, Jain college of Engineering, Belagavi, Karnataka, India, Petimani Mr.Vinayakumar S. , Awati Mr.Vishwanath ,   Assistant Professor Department of Civil Engineering, Jain college of Engineering, Belagavi, Karnataka, India., J.V. Ms.Rashmi ,   Assistant Professor Department of Civil Engineering, Jain college of Engineering, Belagavi, Karnataka, India.
Published: August 2019

Construction technology is more important for project management, as it influences on construction schedules and monitoring. The construction commerce requires a very perfect preparation of planning, development of schedule and monitoring the construction process of the plan exertion which permits the complete optimization of the rate, spell and incomes. The paper promoting the 4D GIS concepts and integration technique and representation of non-spatial and spatial information’s such by means of drawing, resource, and prepared schedules in same GIS environment. s Instead of using the older, traditional methods of auto CAD drawings and schedule sheets, one can integrate them on a stage to create a 4D view of the project using GIS. The project presenting a 4D application of GIS in construction technology and management, by introducing Microsoft project (MSP) and ARCGIS or ARCMAP, which integrates schedules, 3D model of Building plan and resources composed through 4 Dimensional skill to deliver 3Dimensional + 1 Dimensional =4Dimensional Graphical picturing ability for monitoring the construction project site. In this project a G+1 building has been selected for the research in which all the working drawing are converted into 3D plan and according to it schedules are prepared in MSP software then they are imported into ArcGIS environment to get 4D output. This 4D output provides better visualization of construction work progress by which the engineers can trace the technical error of the project by taking better decision and can monitor the delay of work to reduce the cost overrun of project and rework can be avoided by early notification.
A Robust Technique to Remove Fog from Single Image
Authors:   Dept. of Computer Science & Engineering, Noida International University, Greater Noida, India, Shrivastava Ashok Kumar , Jain Dr. Sanjay ,   Dept. of CSA, ITM University, Gwalior, India.
Published: August 2019

Images captured in foggy/hazy environment suffers from poor visibility due to the increase of whiteness and low contrast. It affects vision applications used in object identification, surveillance, tracking and target setting. In this paper, a robust technique for removing fog from single image and enhance the visibility is proposed to satisfy vision applications. Proposed technique is simple and uses mean filter for image smoothing. Computer vision techniques are used to reconstruct image and contrast enhancement. Experiments on different foggy images shows the power of proposed technique.