Preface from the Editorsdoi: 10.1088/1757-899X/1033/1/011001pmid: N/A
It is our privilege to present the proceedings of the three days online conference entitled “International Conference on Integrated Interdisciplinary Innovations in Engineering (ICIIIE 2020)” , which was held at the University Institute of Engineering and Technology, Panjab University, Chandigarh, India from 28 to 30 August 2020. The subject was chosen keeping in view the need of new materials for advanced applications in health care, sensors and devices. Many great discoveries are the result of convergence of various scientific and engineering fields. Interdisciplinary integrated innovations have resulted in numerous advanced products. This conference provided a forum for researchers from different scientific and engineering fields to deliberate and collaborate at national and international level for translating research into useful advanced products to make human life better.The conference was sponsored by Technical Education Quality Improvement Program III (TEQIP III) of MHRD, Government of India assisted by World Bank and Indian National Science Academy (INSA), New Delhi. The conference technical program was enriched with ten plenary talks, twelve invited talks, eight short invited talks and 200 oral/poster presentations. This conference provided an opportunity for in-depth technical discussions and exchange of innovative ideas on a wide range of topics to explore the potential of their applications in industry and society. Moreover, young researchers were exposed to emerging trends and areas of research that have significant technical and scientific importance.List of Editors are available in this pdf.
Peer review declaration for ICIIIE 2020doi: 10.1088/1757-899X/1033/1/011002pmid: N/A
Peer review declaration for ICIIIE 2020All papers published in this volume of IOP Conference Series: Materials Science and Engineering have been peer reviewed through processes administered by the Editors. Reviews were conducted by expert referees to the professional and scientific standards expected of a proceedings journal published by IOP Publishing.• Type of peer review: Single-blind• Conference submission management system: EasyChair(https://easychair.Org/account/signin7NvyrOtsbpDkTYtPQOt2YlkN#)• Number of submissions received: 234 (Two hundred thirty four)• Number of submissions sent for review: 196 (One hundred ninety six)• Number of submissions accepted: 153 (One hundred fifty three)• Number of submissions accepted for IOP: 86 (Eighty six)• Acceptance Rate: 65.38%• Average number of reviews per paper: 03 (Three)• Total number of reviewers involved: 99 (Ninety nine)• Any additional info on review process: Nil• Contact person for queries: Dr. Suresh Kumar(+91 84275 30043; [email protected].)
Cost Assessment of Deloaded Photovoltaic SystemsVerma, Pankaj; Kaur, Tarlochan; Kaur, Raminder
doi: 10.1088/1757-899X/1033/1/012001pmid: N/A
The maximum power point operation of the photovoltaics (PV) restricts them to participate in the frequency regulation of the connected system. Therefore, it is a common practice to deload the PV systems for generating an active power reserve. However, the deloading causes underrating of these systems, hence additional PV panels are installed to overcome the reserved power. Since the frequency regulations can be achieved by using batteries, hence in this paper, the generation cost of a six bus system is minimized by operating PV generator and batteries in coordination with the synchronous generators. The cost curves obtained by operating PV generator with synchronous generators, and batteries with synchronous generators are compared to justify the deloaded operation of PVs. The cost function minimizations are conducted by using the CVX toolbox in the MATLAB software.
Analysis of BER for optical transmission link using commercial fibers with and without dispersion compensationSingh, Kuldeep; Mittal, Dhruv Aditya; Priyamvada,
doi: 10.1088/1757-899X/1033/1/012002pmid: N/A
In this paper, an optical transmission link at 10 Gb/s is experimented with Non -Return to -Zero (NRZ) modulated input source with the help of OptSim-software. The performance of the system has been measured in terms of BER for optical link developed using various types-of-fibers at reference loss and wavelength of 1550 nm along with dispersion and nonlinearities whose tolerances have been assessed up to 400 kms. Results have been obtained and compared by considering the impact of second and third order dispersion terms with and without dispersion compensation for different fibers. It has been observed that DS_Anomalous (DSA) fiber shows the best practical results with 10‒10 BER value at 246 kms of transmission -distance without dispersion compensation and 340 kms with dispersion compensation.
Performance Evaluation of Diverse Hybrid Pulse Width Reduction Modules in WDM systemsAggarwal, Shivin; Garg, Nidhi; Kaur, Gurpreet; Madhu, Charu; Singh, Preeti
doi: 10.1088/1757-899X/1033/1/012003pmid: N/A
Long reach wavelength division multiplexing (WDM) systems are required to cater the remote locations and to cover the maximum distances. Dispersion is prominent factor for distance limitation and should be addressed with high efficiency as well as using low cost pulse width reduction (PWR) modules. In this research work, hybridization of different PWR is proposed such as FBG-DCF, OPC–DCF (optical phase conjugation), FBG-DCF-OPC to analyse the PWRE and total cost of the modules. Further, in order to get optimal hybrid PWR module and amplification unit, different optical amplifiers are also investigated at 10 Gbps over 300 km. An ultra dense WDM system with 25 GHz channel spacing using 32 channels is demonstrated and PWRE is analysed using different hybrid PWR modules. Results revealed that FBG-DCF having least cost with PWRP of 55%, OPC-DCF show PWRE of 45% with moderate cost, and FBG-DCF-OPC provide maximum PWRE of 70% with little bit higher cost. Performance sequence of investigated PWR modules is give as: FBG-DCF-OPC (70% PWRE)> FBG-DCF (55% PWRE)>OPC-DCF (45% PWRE)> and performance of amplification unit with FBG-DCF-OPC is depicted as EDFA>RFA>SOA). This module can be used in passive optical networks for long reach systems.
Techno-Economic Analysis of Increasing PV-Wind based DG Penetration in Sub-Transmission SystemMahajan, Shreya; Verma, Yajvender Pal
doi: 10.1088/1757-899X/1033/1/012004pmid: N/A
This paper deals with techno-economic impact of increasing photovoltaic and wind power distributed generation in sub-transmission system. This paper suggests a new approach to interpret a multi-objective problem of integrating different types of distributed generation using an improved elephant herding optimization method. The main aim of this paper is to minimize the power losses and elevate the voltage profile of the electrical system. The effectiveness of improved elephant herding optimization had been tested on IEEE 30 bus sub-transmission system and is compared with results obtained with Particle Swarm Optimization method. In this paper, three cases have been considered where different types of distributed generation are integrated into the system and the best results have been obtained for case 3 where both photovoltaic and wind power are penetrated in system network. The optimal solutions obtained are compared with particle swarm optimisation and base case. The comparison shows that the proposed optimization method is favourable. The economic analysis of the corresponding distributed generation has been presented in this paper.
Performance of PV integrated wall and roof as a building materialSingh, Digvijay; Rawat, Mohan; Singh, S.P.; Chaudhary, Rubina
doi: 10.1088/1757-899X/1033/1/012005pmid: N/A
The performance of the Photovoltaic (PV) module as a building material is analyzed by predicting the hourly variation in the room temperature compared to base case (conventional material). A computer simulation model of Fourier admittance method is used for the analysis. The average temperature fluctuation of PV roof and PV wall building compared to base case is 6.58°C and for PV wall 2.91°C respectively. The total daily energy generation from PV wall is found in the range of 6.7 kWh to 11.86 kWh, for PV roof its 17.24 kWh to 22 kWh. Due to temperature fluctuation the max additional daily cooling load obtained in PV roof case is 94.7 kWh and 41.97 kWh for PV wall.
Literature review on the usage of six sigma techniques for improvement of quality in soft drink beverage and bottling industriesSM, Khwaja Mohinuddin; Vivekanand, V; Jayakumar, C
doi: 10.1088/1757-899X/1033/1/012006pmid: N/A
The main goals of a manufacturing plant is to improve quality, throughput and increase productivity by reducing ineffective time. In order to do so various areas needs to be looked at and one such focus is on quality improvement, quality has various dimension’s and meeting all these dimension require a sound approach like Six Sigma. The soft drink beverage industry has a complex manufacturing process and there are strict quality measures due to the direct relation which it has with its consumers. In order to accomplish such a need six sigma approach is essential. In regard to the beverage industry quality issues starts of from carbon dioxide yield to bottle filling issues. This study focusses on bringing in different literature which have used six sigma tools and techniques in the bottle and beverage industry. Based on the study it was found techniques such as pareto analysis, fish bone diagram, design of experiment, analysis of variance (ANOVA), control charts are widely used. This is done in order to provide a sound framework on what techniques can be applied when an issue on quality arises.
Electrochemical Studies of Structural Materials in Acidic Peroxide MediaChoudhary, Vipin; Kumar, Rajendra; Kumar, Vijay; Singh, A.K.
doi: 10.1088/1757-899X/1033/1/012007pmid: N/A
Corrosion in paper industries is responsible not only for weakening of metal structures but also for pollution of process liquors and contamination of products. The bleaching sections in pulp and paper industry are among the worst affected by the ravages of corrosion. In bleach plants the materials are exposed to highly corrosive bleaching liquors. Now day’s new norms of safety of environment are forcing paper industries to use peroxide as a bleaching agent instead of chlorine. So in the present study an effort has been done to propose an appropriate material for the construction of future bleach plants keeping in mind their mechanical factors and cost of the material. Accordingly electrochemical polarization tests, E vs. time curve, potentiodynamic polarization curve and cyclic polarization curve were performed on stainless steels samples of 316L, 317L, 2205 and 254SMO in peroxide containing solutions having H2O2, 500 and 1000 parts per million (ppm). The pH of these solutions was kept 4. The Chloride content varied from 0 to 1000 ppm. These tests was performed at room temperature. These tests showed increased resistance against corrosion in order of: 316L<317L<2205<254SMO. Thus 254SMO shows highest resistance for attack of corrosion but keeping in mind fabrication and cost aspects optimal material for treating these peroxide media is recommended to be SS 2205.
Exploring Wrist Pulse Signals using Empirical Mode Decomposition: EmotionsGarg, Nidhi; Arvind, ; Kaur, Gurpreet
doi: 10.1088/1757-899X/1033/1/012008pmid: N/A
Emotion recognition is attracting considerable interest among the research community. In this work, Empirical Mode Decomposition has been implemented to derive both statistical and nonlinear features from Wrist Pulse Signal to classifying emotions namely anxiety and boredom. Wrist Pulse signals were extracted from 24 subjects using TETRIS game as a stimulus using Fission and Fusion approach. The acquired signals were pre-processed to remove unwanted noise and artefacts present within the signal. In addition, various classifiers namely Naiive Byes, Support Vector Machine, K-Nearest Neighbour, Logistic Regression, Linear Discriminant Analysis, Quadratic Discriminant Analysis were considered. Results from these classifiers indicate that both Logistic Regression and Quadratic Discriminant Analysis gave an indistinguishable accuracy of 99.71% (fission) and 77.08% (fusion) for anxiety state. Moreover, for boredom state, the highest classification accuracy was 66.67 % for Naiive Bayes using fission and 64.58% for fusion. Results highlight the impact of empirical mode decomposition with hilbert transform for the recognition of emotion from wrist pulse signals.