Pub Date : 2019-01-01DOI: 10.1109/ICNTE44896.2019.8945809
M. S. Gaikwad, N. Deshmukh, V. B. Sawant, Prof. (Dr) Suhas Sakharam Mohite
To understand and control the thermal contact resistance is critical for improving the performance of RF MEMS switch viz., low insertion loss, high isolation as well as low power consumption. This paper presents the design, modeling, and analysis of the RF-MEMS switch for evaluating thermal contact resistance. Thermal contact resistance depends on the thin film materials used, contact force, the roughness factor, material occupying the void spaces, and temperature. The contact force is considered in our analysis for determining the contact resistance. The further one-dimensional heat flow model is used to understand the dynamic behavior of the switch. Finite element analysis software ANSYS is used to obtain modal frequencies, stresses induced in the membrane. The calculations indicate that the total thermal contact resistance of the device is 5.89 k/w. The RF performance parameters are extracted from HFSS software which shows that insertion loss of 0.17dB up to 25 GHz, return loss better than 37dB at 2 GHz and 16dB up to 25 GHz is obtained.
{"title":"Evaluating Thermal Contact Resistance for Ohmic type RF MEMS switch","authors":"M. S. Gaikwad, N. Deshmukh, V. B. Sawant, Prof. (Dr) Suhas Sakharam Mohite","doi":"10.1109/ICNTE44896.2019.8945809","DOIUrl":"https://doi.org/10.1109/ICNTE44896.2019.8945809","url":null,"abstract":"To understand and control the thermal contact resistance is critical for improving the performance of RF MEMS switch viz., low insertion loss, high isolation as well as low power consumption. This paper presents the design, modeling, and analysis of the RF-MEMS switch for evaluating thermal contact resistance. Thermal contact resistance depends on the thin film materials used, contact force, the roughness factor, material occupying the void spaces, and temperature. The contact force is considered in our analysis for determining the contact resistance. The further one-dimensional heat flow model is used to understand the dynamic behavior of the switch. Finite element analysis software ANSYS is used to obtain modal frequencies, stresses induced in the membrane. The calculations indicate that the total thermal contact resistance of the device is 5.89 k/w. The RF performance parameters are extracted from HFSS software which shows that insertion loss of 0.17dB up to 25 GHz, return loss better than 37dB at 2 GHz and 16dB up to 25 GHz is obtained.","PeriodicalId":292408,"journal":{"name":"2019 International Conference on Nascent Technologies in Engineering (ICNTE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130630403","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
These days, adverse reactions caused due to medical drugs are one of the major causes of loss of human life. Highly priced laboratory tests aren't enough to obtain all the adverse reactions caused by the majority of the drugs. As a result, it is the need of the hour to develop systems which would supervise effects of drugs after they are cleared for use. Here, we evaluate a self-operating system for drug effectiveness identification on a set of user comments which are annotated manually. We shall try to obtain a relation between the already documented adverse reactions of a drug and those obtained by the proposed system. For this purpose, the system would use unlabeled data. It has been observed that user comments contain a vast variety of complex sentences which pose a natural language challenge. However, these user reviews provide huge scope for further exploration as well.
{"title":"Drug review analytics of neurological disorders","authors":"Dipen Chawla, Disha Mohnani, Varsha Sawlani, Sujay Varma, Sujata Khedkar","doi":"10.1109/ICNTE44896.2019.8945981","DOIUrl":"https://doi.org/10.1109/ICNTE44896.2019.8945981","url":null,"abstract":"These days, adverse reactions caused due to medical drugs are one of the major causes of loss of human life. Highly priced laboratory tests aren't enough to obtain all the adverse reactions caused by the majority of the drugs. As a result, it is the need of the hour to develop systems which would supervise effects of drugs after they are cleared for use. Here, we evaluate a self-operating system for drug effectiveness identification on a set of user comments which are annotated manually. We shall try to obtain a relation between the already documented adverse reactions of a drug and those obtained by the proposed system. For this purpose, the system would use unlabeled data. It has been observed that user comments contain a vast variety of complex sentences which pose a natural language challenge. However, these user reviews provide huge scope for further exploration as well.","PeriodicalId":292408,"journal":{"name":"2019 International Conference on Nascent Technologies in Engineering (ICNTE)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134643589","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-01-01DOI: 10.1109/ICNTE44896.2019.8946073
Sheetal Jagdale, M. Shah
Spoken Language Understanding (SLU) is a part of spoken dialogue system (SDS) which represents speech data into semantic form required to understand user's intention. The human-computer interaction system is most commonly placed in noisy environment. This introduces error in Automatic Speech Recognizer (ASR). SLU takes into account ASR errors. Thus robustness of SLU plays important role in efficient working of human computer interaction system. The SLU consist of semantic decoder and belief tracker. Recent line of research models semantic decoder as a classification task or sequence to sequence learning. The SLU models incorporate learning models for classification. The learning model requires lot of labelled data for training. The process of obtaining labelled data is expensive and time consuming. Thus it is desirable that SLU must be able to maintain its accuracy even if sparse training data is available. The objective of this research is to evaluate robustness in terms of accuracy and data sparsity of SLU incorporating Relevance Vector Classifier (RVC) and Stochastic Gradient Descent (SGD) classifier. The framework of SLU incorporates semantic tuple classifier (STC). The STC performs dialogue act classification and slot filling by using classifiers. The classifiers that were incorporated in semantic decoder are Support Vector Machine (SVM), SGD and RVC. The dataset used is DSTC II. The SVM classifier showed maximum robustness and better accuracy as compared to other classifiers. For SVM, classifier the Inter Cross Entropy (ICE) and accuracy were 1.0 and 0.91, respectively. For RVC, ICE and accuracy were 4.055 and 0.52.
{"title":"Evaluation of Stochastic Gradient Descent and Relevance Vector Classifier for Improvement in Spoken Language Understanding in Terms of Performance and Data Sparsity","authors":"Sheetal Jagdale, M. Shah","doi":"10.1109/ICNTE44896.2019.8946073","DOIUrl":"https://doi.org/10.1109/ICNTE44896.2019.8946073","url":null,"abstract":"Spoken Language Understanding (SLU) is a part of spoken dialogue system (SDS) which represents speech data into semantic form required to understand user's intention. The human-computer interaction system is most commonly placed in noisy environment. This introduces error in Automatic Speech Recognizer (ASR). SLU takes into account ASR errors. Thus robustness of SLU plays important role in efficient working of human computer interaction system. The SLU consist of semantic decoder and belief tracker. Recent line of research models semantic decoder as a classification task or sequence to sequence learning. The SLU models incorporate learning models for classification. The learning model requires lot of labelled data for training. The process of obtaining labelled data is expensive and time consuming. Thus it is desirable that SLU must be able to maintain its accuracy even if sparse training data is available. The objective of this research is to evaluate robustness in terms of accuracy and data sparsity of SLU incorporating Relevance Vector Classifier (RVC) and Stochastic Gradient Descent (SGD) classifier. The framework of SLU incorporates semantic tuple classifier (STC). The STC performs dialogue act classification and slot filling by using classifiers. The classifiers that were incorporated in semantic decoder are Support Vector Machine (SVM), SGD and RVC. The dataset used is DSTC II. The SVM classifier showed maximum robustness and better accuracy as compared to other classifiers. For SVM, classifier the Inter Cross Entropy (ICE) and accuracy were 1.0 and 0.91, respectively. For RVC, ICE and accuracy were 4.055 and 0.52.","PeriodicalId":292408,"journal":{"name":"2019 International Conference on Nascent Technologies in Engineering (ICNTE)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134519350","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-01-01DOI: 10.1109/ICNTE44896.2019.8945936
Anindya Pal, G. Srivastava, R. D. Kulkarni
Our nuclear industry in general has employed induction motors in almost every electro-mechanical process. Speed and position control of these motors are envisaged at multiple occasions. For better dynamic response, vector control of speed is preferred over scalar methods namely V/F method, etc. Estimation of speed, stator flux, rotor flux and the torque developed by electromagnetic field is done using the value of the DC bus voltage, motor parameters and the stator current of any two phases of star connected induction motor. In this paper, the technique uses a two - level hysteresis comparator for stator flux, five - level hysteresis comparator for torque and divides the ‘dq’ plane in twelve sectors for determining the switching of Space Vectors from a Voltage Source Inverter. The model is simulated with a centrifugal pump load. The estimation methodology and simulation is discussed in this paper. Conclusions drawn have been highlighted using the simulation results and hardware implementation is proposed for validation of simulation results.
{"title":"Simulation of Sensorless Speed Control of Induction Motor Using Direct Torque Control Technique Employing Five Level Torque Comparator and Twelve Sector Method","authors":"Anindya Pal, G. Srivastava, R. D. Kulkarni","doi":"10.1109/ICNTE44896.2019.8945936","DOIUrl":"https://doi.org/10.1109/ICNTE44896.2019.8945936","url":null,"abstract":"Our nuclear industry in general has employed induction motors in almost every electro-mechanical process. Speed and position control of these motors are envisaged at multiple occasions. For better dynamic response, vector control of speed is preferred over scalar methods namely V/F method, etc. Estimation of speed, stator flux, rotor flux and the torque developed by electromagnetic field is done using the value of the DC bus voltage, motor parameters and the stator current of any two phases of star connected induction motor. In this paper, the technique uses a two - level hysteresis comparator for stator flux, five - level hysteresis comparator for torque and divides the ‘dq’ plane in twelve sectors for determining the switching of Space Vectors from a Voltage Source Inverter. The model is simulated with a centrifugal pump load. The estimation methodology and simulation is discussed in this paper. Conclusions drawn have been highlighted using the simulation results and hardware implementation is proposed for validation of simulation results.","PeriodicalId":292408,"journal":{"name":"2019 International Conference on Nascent Technologies in Engineering (ICNTE)","volume":"134 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131810436","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-01-01DOI: 10.1109/ICNTE44896.2019.8946037
Aaditya Kenge, N. Kulkarni, Nikheel Tate, Haseen M. Shaikh, K. Bhole
Nowadays, traditional materials are being replaced by composite materials due to their better properties like high strength in tension as well as in flexure, lower thermal expansion, higher strength to weight ratio compared to conventional materials etc. These new materials are now being developed day by day which are eco-friendly, economic and efficient. Natural fiber composites made from fibers like Sisal, Jute, and Coir have become more attractive because of their high specific strength, low density and an ability to degrade naturally. Also, advantages of Glass-Fiber Reinforced Plastic (GFRP) such as high strength, flexibility, lower cost etc. are resulting in increased applications. Combining the natural and artificial fibers for making hybrid composites can elevate the properties of the composite materials. In this research, we developed coir-glass fiber reinforced hybrid composites with two different stacking sequences. Typically various properties such as tensile, flexural and impact strength and their modulus are evaluated for the exhaustive characterization. Further the SEM of broken samples is done to identify the defects in manufacturing of composite. The fiber and matrix possess better mechanical properties which could be beneficial for developing new options as an exterior material for components as well as the outside casing and housing for particular equipment in various industries. The results showed that due to integration of Coir and glass fiber as a hybrid reinforced composite have elevated mechanical properties as compared to pure coir composite.
{"title":"Development and Mechanical Characterization of Natural-Artificial Fiber Hybrid Composite","authors":"Aaditya Kenge, N. Kulkarni, Nikheel Tate, Haseen M. Shaikh, K. Bhole","doi":"10.1109/ICNTE44896.2019.8946037","DOIUrl":"https://doi.org/10.1109/ICNTE44896.2019.8946037","url":null,"abstract":"Nowadays, traditional materials are being replaced by composite materials due to their better properties like high strength in tension as well as in flexure, lower thermal expansion, higher strength to weight ratio compared to conventional materials etc. These new materials are now being developed day by day which are eco-friendly, economic and efficient. Natural fiber composites made from fibers like Sisal, Jute, and Coir have become more attractive because of their high specific strength, low density and an ability to degrade naturally. Also, advantages of Glass-Fiber Reinforced Plastic (GFRP) such as high strength, flexibility, lower cost etc. are resulting in increased applications. Combining the natural and artificial fibers for making hybrid composites can elevate the properties of the composite materials. In this research, we developed coir-glass fiber reinforced hybrid composites with two different stacking sequences. Typically various properties such as tensile, flexural and impact strength and their modulus are evaluated for the exhaustive characterization. Further the SEM of broken samples is done to identify the defects in manufacturing of composite. The fiber and matrix possess better mechanical properties which could be beneficial for developing new options as an exterior material for components as well as the outside casing and housing for particular equipment in various industries. The results showed that due to integration of Coir and glass fiber as a hybrid reinforced composite have elevated mechanical properties as compared to pure coir composite.","PeriodicalId":292408,"journal":{"name":"2019 International Conference on Nascent Technologies in Engineering (ICNTE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130791166","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-01-01DOI: 10.1109/ICNTE44896.2019.8945973
A. P. I. Siddavatam, P. Vaidya, J. Nair
In this paper, a new method called as dynamic estimation method is proposed that improves the resolution of standard 8K Multichannel analyzer. It is based on the concept of dynamic estimation of peak of the nuclear pulses. Dynamic estimation method is advantageous since it results in reduction of nonlinearity error without increasing the conversion time of existing the spectroscopy systems significantly compared to the existing conventional or digital spectroscopy systems as described in the literature. The system makes use of low-resolution nuclear ADC, which has been designed using any conventional technique to improve its resolution. The circuit has been designed based on the proposed method and has been simulated using Multisim software. Relationship between various parameters like resolution, estimation error and nonlinearity error of the system are discussed and results are presented in the paper.
{"title":"A New Method for improving resolution of Nuclear ADC for high resolution Spectroscopy System","authors":"A. P. I. Siddavatam, P. Vaidya, J. Nair","doi":"10.1109/ICNTE44896.2019.8945973","DOIUrl":"https://doi.org/10.1109/ICNTE44896.2019.8945973","url":null,"abstract":"In this paper, a new method called as dynamic estimation method is proposed that improves the resolution of standard 8K Multichannel analyzer. It is based on the concept of dynamic estimation of peak of the nuclear pulses. Dynamic estimation method is advantageous since it results in reduction of nonlinearity error without increasing the conversion time of existing the spectroscopy systems significantly compared to the existing conventional or digital spectroscopy systems as described in the literature. The system makes use of low-resolution nuclear ADC, which has been designed using any conventional technique to improve its resolution. The circuit has been designed based on the proposed method and has been simulated using Multisim software. Relationship between various parameters like resolution, estimation error and nonlinearity error of the system are discussed and results are presented in the paper.","PeriodicalId":292408,"journal":{"name":"2019 International Conference on Nascent Technologies in Engineering (ICNTE)","volume":"54 5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123343526","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-01-01DOI: 10.1109/ICNTE44896.2019.8946000
Dipak S. Marathe, U. Khot
This paper proposes a 10-bit successive approximation register (SAR) digital logic for analog to digital converter (ADC)used in the wireless sensor node (WSN). A SAR is either synchronous or mixed mode logic, and it has a ring counter and output register. A proposed mixed mode logic is to partitioning the design into synchronous logic each having its own clock and data with asynchronous logic is exchanged asynchronously using handshake signals. This combination allows it to decrease the power and making it faster. The proposed low power SAR logic circuits are designed and simulated using TSMC 0.18 $m$ CMOS technology. Synchronous and mixed mode SAR logic achieves power of 6.35 nW and 5.72 nW respectively at 1 $V$.
{"title":"A 10-Bit 10-Ms/S 5.72 nW Mixed SAR Logic for ADC Used in Wireless Sensor Node","authors":"Dipak S. Marathe, U. Khot","doi":"10.1109/ICNTE44896.2019.8946000","DOIUrl":"https://doi.org/10.1109/ICNTE44896.2019.8946000","url":null,"abstract":"This paper proposes a 10-bit successive approximation register (SAR) digital logic for analog to digital converter (ADC)used in the wireless sensor node (WSN). A SAR is either synchronous or mixed mode logic, and it has a ring counter and output register. A proposed mixed mode logic is to partitioning the design into synchronous logic each having its own clock and data with asynchronous logic is exchanged asynchronously using handshake signals. This combination allows it to decrease the power and making it faster. The proposed low power SAR logic circuits are designed and simulated using TSMC 0.18 $m$ CMOS technology. Synchronous and mixed mode SAR logic achieves power of 6.35 nW and 5.72 nW respectively at 1 $V$.","PeriodicalId":292408,"journal":{"name":"2019 International Conference on Nascent Technologies in Engineering (ICNTE)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121056080","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-01-01DOI: 10.1109/ICNTE44896.2019.8945843
S. Mithbavkar, M. Shah
Emotion recognition play important role in human-computer interfacing and a treatment of a person under depression. Facial expressions of a person reflect his emotional status. Electromyogram (EMG)based emotion recognition systems able to recognize true emotions of a person. Current research on EMG based emotion recognition reports overall accuracy in the range 69% to 91 % in a particular emotional environment. In case of posed expressions, emotions were recognized with accuracy range from 91 % to 97%. There is a scope for improvement for enhancing accuracy of emotion recognition in emotional environment. In this research work EMG dataset acquired under emotional environment by Augsburg University is analyzed. From 96 EMG signals representing four emotions, four features including Root mean square, Variance, Mean absolute value and Integrated EMG are calculated. These parameters are given to 3 different classifier namely Elman neural network (ENN) classifier, Back propagation neural network (BPNN), and Nonlinear autoregressive exogenous network (NARX) for classification of emotion. NARX neural network gave maximum overall accuracy of 99.1 %.
{"title":"Recognition of Emotion Through Facial Expressions Using EMG Signal","authors":"S. Mithbavkar, M. Shah","doi":"10.1109/ICNTE44896.2019.8945843","DOIUrl":"https://doi.org/10.1109/ICNTE44896.2019.8945843","url":null,"abstract":"Emotion recognition play important role in human-computer interfacing and a treatment of a person under depression. Facial expressions of a person reflect his emotional status. Electromyogram (EMG)based emotion recognition systems able to recognize true emotions of a person. Current research on EMG based emotion recognition reports overall accuracy in the range 69% to 91 % in a particular emotional environment. In case of posed expressions, emotions were recognized with accuracy range from 91 % to 97%. There is a scope for improvement for enhancing accuracy of emotion recognition in emotional environment. In this research work EMG dataset acquired under emotional environment by Augsburg University is analyzed. From 96 EMG signals representing four emotions, four features including Root mean square, Variance, Mean absolute value and Integrated EMG are calculated. These parameters are given to 3 different classifier namely Elman neural network (ENN) classifier, Back propagation neural network (BPNN), and Nonlinear autoregressive exogenous network (NARX) for classification of emotion. NARX neural network gave maximum overall accuracy of 99.1 %.","PeriodicalId":292408,"journal":{"name":"2019 International Conference on Nascent Technologies in Engineering (ICNTE)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128494973","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-01-01DOI: 10.1109/ICNTE44896.2019.8945811
Aditya Ashok Shinde, Vinayak H. Khatawate, G. Vinod, Shishirkumar N. Kadam
The nuclear accident that took place at Fukushima (Japan 2011) highlighted the need for development of safety assessment of a multi-unit site. A systematic methodology to perform Level 1 safety assessment of a twin-unit site is presented using Probabilistic Safety Assessment (PSA) approach. The proposed approach quantifies risk from simultaneous failures of one or more systems due to internal initiating events (IE) and from shared system and components (SSC). Site core damage frequency (SCDF) is evaluated by developing an integrated multi-unit modal using fault trees as well as event trees. Major contributors to core damage are identified and analyzed from the minimal cut-sets using Risk-spectrum software.
{"title":"Evaluation of Site Core Damage Frequency of Multi-Unit Nuclear Power Plant Using Probabilistic Safety Assessment","authors":"Aditya Ashok Shinde, Vinayak H. Khatawate, G. Vinod, Shishirkumar N. Kadam","doi":"10.1109/ICNTE44896.2019.8945811","DOIUrl":"https://doi.org/10.1109/ICNTE44896.2019.8945811","url":null,"abstract":"The nuclear accident that took place at Fukushima (Japan 2011) highlighted the need for development of safety assessment of a multi-unit site. A systematic methodology to perform Level 1 safety assessment of a twin-unit site is presented using Probabilistic Safety Assessment (PSA) approach. The proposed approach quantifies risk from simultaneous failures of one or more systems due to internal initiating events (IE) and from shared system and components (SSC). Site core damage frequency (SCDF) is evaluated by developing an integrated multi-unit modal using fault trees as well as event trees. Major contributors to core damage are identified and analyzed from the minimal cut-sets using Risk-spectrum software.","PeriodicalId":292408,"journal":{"name":"2019 International Conference on Nascent Technologies in Engineering (ICNTE)","volume":"461 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116638079","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-01-01DOI: 10.1109/ICNTE44896.2019.8945827
J. Kachhadiya, U. Joshi, A. Kashyap, Suyash Ail
Aircrafts are by default designed to be dynamically stable, with respect to aerodynamics. But certain wing configurations like forward swept or anhedral wings are not aerodynamically stable and need to be stabilized by the pilot in real time using the control surfaces. This paper proposes an employment of a fuzzy controller which would provide data to all the control surfaces as well as the required throttle to abate the need for the pilot's interference to regain stability. Simulation of the aforementioned fuzzy controller was done in MATLAB and the logic was embedded into an Arduino. To evaluate the performance and effectiveness of this controller the Arduino was integrated in the avionics of a self-designed RC aircraft. The results were compared with that of a standard linear controller.
{"title":"Simulating and Embedding Fuzzy Logic for Dynamic Stabilization of RC Aircraft","authors":"J. Kachhadiya, U. Joshi, A. Kashyap, Suyash Ail","doi":"10.1109/ICNTE44896.2019.8945827","DOIUrl":"https://doi.org/10.1109/ICNTE44896.2019.8945827","url":null,"abstract":"Aircrafts are by default designed to be dynamically stable, with respect to aerodynamics. But certain wing configurations like forward swept or anhedral wings are not aerodynamically stable and need to be stabilized by the pilot in real time using the control surfaces. This paper proposes an employment of a fuzzy controller which would provide data to all the control surfaces as well as the required throttle to abate the need for the pilot's interference to regain stability. Simulation of the aforementioned fuzzy controller was done in MATLAB and the logic was embedded into an Arduino. To evaluate the performance and effectiveness of this controller the Arduino was integrated in the avionics of a self-designed RC aircraft. The results were compared with that of a standard linear controller.","PeriodicalId":292408,"journal":{"name":"2019 International Conference on Nascent Technologies in Engineering (ICNTE)","volume":"357 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121665651","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：