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International Conference on Intelligent Systems Applications to Power Systems (ISAP)

作者： Shrishti Trivedi Sahil Bhola Archit Talegaonkar Prerna Gaur Shreya Sharma Instrumentation and Control Engineering Netaji Subhas University of Technology New Delhi India Computer Science Engineering Indraprastha Institute of Information Technology New Delhi India

ISBN: (数字)9781728131924

ISBN: (纸本)9781728131931

Various types of faults can occur in an air conditioner resulting in a decrease in efficiency, a rise in energy consumption, and increasing maintenance costs. Hence predictive maintenance becomes important. In this paper, the two most common types of faults - gas leakage and capacitor malfunction have been detected using the decision tree machine learning algorithm. The data for faulty and operating air conditioners have been collected using distributed sensors, microcontroller, and dedicated circuitry and analyzed using MATLAB Classification App Learner Toolbox. The results obtained by the decision tree for fault detection and diagnosis and load monitoring were then compared with results obtained by support vector machine and the prediction accuracy for the decision tree was found to be higher. The presented research work can identify the air conditioner which is faulty as well as predicts the type of fault at an early stage to do maintenance beforehand.

关键词： Circuit faults Decision trees Machine learning algorithms Intelligent sensors Air conditioning Fault detection

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Correction to: An Enhanced Crow Search Inspired Feature Selection Technique for Intrusion Detection Based Wireless Network System

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Wireless Personal Communications 2021年第3期127卷 2039-2039页

作者： Khanna, Ashish Rani, Poonam Garg, Puneet Singh, Prakash Kumar Khamparia, Aditya Department of Computer Science Engineering Maharaja Agrasen Institute of Technology New Delhi India Division of Computer Engineering Netaji Subhas University of Technology New Delhi India J. C. Bose University of Science and Technology YMCA Faridabad India Department of Computer Science Engineering Rajkiya Engineering College Mainpuri Mainpuri India Department of Computer Science Babasaheb Bhimrao Ambedkar University Satellite Centre Amethi India

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Plants Stress Response Detection by Selecting Minimal Bands of Hyperspectral Images

Plants Stress Response Detection by Selecting Minimal Bands ...

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International Conference on Advanced computer Control, ICACC

作者： Milton Mondal Manish Edida Naman Sharma Brejesh Lall Dhandapani Raju Department of Electrical Engineering Indian Institute of Technology Delhi Instrumentation and Control Engineering Netaji Subhas Institute of Technology Delhi Plant Physiology Division Indian Agricultural Research Institute

It is an important task in the agricultural domain to determine the stress levels in plants. Drought conditions can have an adverse effect on crop yield. Hyperspectral Imaging (HSI) combined with classical Machine Learning algorithms are in current use to determine the stress levels. Every spectral band in an HSI does not contain useful information regarding the stress levels. For this reason, some vegetation indices are selected by agricultural researchers, based on reflectance ratios where a significant change in reflectance was observed because of stress. These indices do not always contain significant information because of changes in temperature, humidity or other atmospheric variations in different trials. There is no fixed set of vegetation indices which can be used to estimate stress levels accurately. In this paper, we demonstrated the working of Conditional Covariance Operator (CCM) which is used to select the most significant spectral bands from the collected Hyperspectral data itself. CCM is the most recent of the feature selection methods. This efficient feature selection method is used for the first time in this paper for plant stress analysis in rapid manner. It selects consistent discriminative spectral bands even when training examples per class are less than what other feature selection methods need. It can be seen that the Random Forest classifier model can classify the stress level into three categories (i) normal (ii) mild and (iii) severe stress with an accuracy of 99.7% when only 10 spectral bands are selected.

关键词： crops feature selection geophysical image processing hyperspectral imaging image classification random forests remote sensing vegetation

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Structure, conductivity, and ion emission properties of RbAg4I5 solid electrolyte film prepared by pulsed laser deposition

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Chinese Physics B 2019年第6期28卷 126-130页

作者： Jun-Lian Chen Wen-Bin Zuo Xian-Wen Ke Alexander B Tolstoguzov Can-Xin Tian Neena Devi Ranjana Jha Gennady N Panin De-Jun Fu School of Printing and Packaging Wuhan UniversityWuhan 430072China Shenzhen Institute of Wuhan University A302 Research Bldg.No.6 Aoxin 2nd Rd.Nanshan Hitech ZoneShenzhen 518057China Ryazan State Radio Engineering University Gagarin Str.59/1390005 RyazanRussia School of Physics and Technology Lingnan Normal UniversityZhanjiang 524048China Department of Physics Netaji Subhas Institute of TechnologyUniversity of DelhiDwarka Sector-3New Delhi 110078India Institute of Microelectronics Technology Russian Academy of SciencesChernogolovkaMoscow 142432Russia

We fabricated a silver ion emitter based on the solid state electrolyte film of RbAg4 I5 prepared by pulsed laser deposition. The RbAg4 I5 target for PLD process was mechano-chemically synthesized by high-energy ball milling in Ar atmosphere using β-AgI and RbI as raw materials. The ion-conducting properties of RbAg4 I5 were studied by alternating current(AC) impedance spectroscopy and the ionic conductivity at room temperature was estimated 0.21 S/m. The structure, morphology, and elemental composition of the RbAg4 I5 film were investigated. The Ag+ ion-conducting property of the prepared superioni-conductor film was exploited for ion–beam generation. The temperature and accelerating voltage dependences of the ion current were studied. Few nA current was obtained at the temperature of 196?C and the accelerating voltage of 10 kV.

关键词： RbAg4 I5 ball milling solid state electrolyte film ion–beam source ionic conductivity

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Priority based Buffer Management Technique for Opportunistic Networks

Priority based Buffer Management Technique for Opportunistic...

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IEEE Global Communications Conference

作者： Sanjay K. Dhurandher Jagdeep Singh Isaac Woungang Joel J. P. C. Rodrigues Department of Information Technology Netaji Subhas University of Technology New Delhi India Division of Information Technology Netaji Subhas Institute of Technology University of Delhi New Delhi India Department of Computer Science Ryerson University Toronto Canada Federal University of Piauí (UFPI) Teresina PI Brazil Instituto de Telecomunicações Portugal

ISBN: (数字)9781728109626

ISBN: (纸本)9781728109633

Opportunistic Networks are composed of wireless nodes opportunistically communicating with each other following the store, carry and forward mechanism. These networks are designed to operate in an environment characterized by high delay, intermittent connectivity and non-guarantee of the end-to-end path between the sender and the destination. The messages are transmitted on the basis of best-effort procedure. If the nodes are not able to forward the message for reasons like missing connectivity, insufficient buffer space or low-confidence among nodes, the messages are temporarily buffered according to the waiting-list policy and it is resumed when the connection is established again. The nodes drop the message on the basis of delete policy in a congested network environment. While there are multiple policies for effective buffer utilization in Opportunistic Networks such as FIFO, LIFO & Random, none allow message transmission on the basis of message-type. In this paper, a Priority based Buffer Management Technique (PBMT) has been introduced that considers the priority of a message to address the aforementioned problems. This policy allows solving the underlying problem of transmitting messages in a random fashion, by transmitting them in a systematic and orderly method. The proposed PBMT shows considerable difference in routing processes. Simulation results that are provided, confirm that the proposed PBMT is more secure and efficient than traditional buffer management policies for opportunistic networks by using the haggle infocom 2006 real mobility data trace.

关键词： Routing Silicon Delays Routing protocols Information technology Simulation

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Development of a smart identification and sorting system

Development of a smart identification and sorting system

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2018 World Congress on engineering and computer Science, WCECS 2018

作者： Kumar, Shubham Ashi Khanna, Pradeep Department of Instrumentation and Control Netaji Subhas Institute of Technology New Delhi India Department of Manufacturing Process and Automation Engineering South Africa

ISBN: (纸本)9789881404909

Sorting of the components on the basis of their features is an important process extensively required in industries mainly on assembly and production lines. Such systems are of significant importance in selective assembly processes where the part to be delivered is decided on the basis of real time requirements. This not only does away with the requirement of manual labor, but also addresses the issue of mistakes arising from fatigue and negligence of human worker, plus there is definitely an increase in productivity by the use of such systems as they offer the advantage of complete automation of the process. The present system has been developed with a view to provide an effective, simple and low cost solution to identification and sorting system applications. The system has been developed by using less costly and robust sensors and actuators such that the electronic circuitry involved is also simple and can meet the demands where flexibility of a concern because the present system can quickly be reprogrammed to meet any changed circumstance within the operating range of the system. System presently developed is based on sorting on the basis of component color. The system does not need to hit its home position each time it makes a delivery, rather it takes its present position as the reference and can make a quick move to the next delivery, saving a significant time. The system has successfully been tested and is found to give an error less than 1% in total number of trials conducted. © 2018 Newswood Limited. All rights reserved.

关键词： Real time systems

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Performance improvement of PIx+iyD fractional complex order controller using genetic algorithm 4

Performance improvement of PIx+iyD fractional complex order ...

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4th IEEE International Conference on Advances in Electrical and Electronics, Information, Communication and Bio-Informatics, AEEICB 2018

作者： Hanif, Omar Bhaskar Babu, G.U. Sharma, Sachin Department of Chemical Engineering National Institute of Technology Warangal Kazipet Warangal506004 India Department of Instrumentation Control Engineering Netaji Subhas Institute of Technology Dwarka New Delhi110078 India

ISBN: (纸本)9781538646069

The paper introduces a new form of complex fractional order proportional integral derivative (CFOPID) controller of the form D. This latest derivative of has more parameters than any of the Fractional-order PID controller or conventional integer order controller. The paper demonstrates the tuning of this complex fractional order controller using Genetic Algorithm method of tuning. It further relates the results and responses got in the latter tuning method with interior point optimization tuning method (fmincon) of another research paper. © 2018 IEEE.

关键词： Genetic algorithms

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Smartphone Apps for Teaching engineering Courses: Experience and Scope

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Journal of Educational technology Systems 2018年第1期47卷 4 - 16页

作者： Dipika Jain Pinaki Chakraborty Shampa Chakraverty Division of Computer Engineering Netaji Subhas Institute of Technology New Delhi India

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Design and fabrication of a programmable selective sorting system

Design and fabrication of a programmable selective sorting s...

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2018 World Congress on engineering and computer Science, WCECS 2018

作者： Choudhary, Manas Narang, Rishabh Khanna, Pradeep Department of Mechanical Engineering Delhi Technological University New Delhi India Department of MPAE Netaji Subhas Institute of Technology New Delhi India

ISBN: (纸本)9789881404909

Modern manufacturing techniques require high degree of automation. It is of importance to enable our manufacturing systems to deliver the required products in right quantity, quality and at low cost. Modern machines in the manufacturing industry perform highly specialized and complex tasks for which they need to be fed with inputs in a right *** fact, certain machines require input parts in a particular orientation, feature and speed. Present work was inspired from the survey carried out in the field of manufacturing automation with specific emphasis on discrete part feeding. Vibratory bowl feeders are used since long for discrete part feeding on assembly lines. They are capable of feeding a large variety of parts and make a useful contribution in such feeding applications in industry. The feeder however is primarily designed to feed only one type of part at a time. A vast technical literature is available dealing with the optimization of feed rate of various components under different sets of input conditions. However, very less work is available pertaining to the selective feeding of components, which might be useful for feeding the flexible or mixed assembly lines catering to batch production runs. Hence the present work aims at designing and developing a smart identification and sorting system capable of color sensing and spatial orientation of parts to ensure that parts with preselected color and orientation only are allowed to react the delivery point of the feeder. Moreover, the developed system is programmable and has the flexibility of pre-selecting desired features of the parts to be fed out of a lot having an assortment of parts with different features. The designed system makes use an Arduino based microcontroller along with several electronic sensors and actuators to accomplish the task in a mistake-proof manner. © 2018 Newswood Limited. All rights reserved.

关键词： Microcontrollers

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Preface

EAI/Springer Innovations in Communication and Computing

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EAI/Springer Innovations in Communication and Computing 2021年 vii-viii页

作者： Srivastava, Smriti Khari, Manju Crespo, Ruben Gonzalez Chaudhary, Gopal Arora, Parul Instrumentation and Control Engineering Netaji Subhas University of Technology New Delhi Delhi India Department of Computer Science and Technology Universidad Internacional de La Rioja Logroño La Rioja Spain Department of Electronics and Communication Engineering Jaypee Institute of Information Technology Noida India School of Computer and Systems Sciences Jawaharlal Nehru University New Delhi Delhi India Department of Electronics and Communication Engineering Bharati Vidyapeeth’s College of Engineering New Delhi Delhi India

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