S. R. Kapoor, Parikshit Pareek, Nishant Khandelwal
Squirrel Cage Induction Motor (SCIM) is a perceptive device as its failure has devastating effect due to loss in performance and reliability of power system. This makes constant supervising of SCIM imperative. Harmonics are responsible for many nuisances. Yet, it is one of the eminent parameter of fault recognition in stator current of IM. When motor condition deviates from healthy one, the behaviour of these harmonics changes significantly. Substantial variation is attained in frequency bands about fundamental frequency by presence of extra signature in the signal. The trait of harmonics in a current signal is different for different load conditions for particular motor circumstances. In this paper, Fourier transform technique is used for spectral estimation. It provides the frequency-amplitude representation of the signal which enlightened about the magnitude of each frequency present in signal. The normalised graphical analysis shows that harmonics during the fault has substantial variation from healthy conditions. The work achieved the purpose of understanding and identifying irregularities in harmonics and the conclusion drawn from the test validates that the behaviour of odd harmonics is largely irregular for different load conditions. Also some important deductions by analysis are taken for further fault detection analogies.
{"title":"Assessment of Fault Harmonics in Squirrel Cage Induction Motor","authors":"S. R. Kapoor, Parikshit Pareek, Nishant Khandelwal","doi":"10.1109/CICT.2016.72","DOIUrl":"https://doi.org/10.1109/CICT.2016.72","url":null,"abstract":"Squirrel Cage Induction Motor (SCIM) is a perceptive device as its failure has devastating effect due to loss in performance and reliability of power system. This makes constant supervising of SCIM imperative. Harmonics are responsible for many nuisances. Yet, it is one of the eminent parameter of fault recognition in stator current of IM. When motor condition deviates from healthy one, the behaviour of these harmonics changes significantly. Substantial variation is attained in frequency bands about fundamental frequency by presence of extra signature in the signal. The trait of harmonics in a current signal is different for different load conditions for particular motor circumstances. In this paper, Fourier transform technique is used for spectral estimation. It provides the frequency-amplitude representation of the signal which enlightened about the magnitude of each frequency present in signal. The normalised graphical analysis shows that harmonics during the fault has substantial variation from healthy conditions. The work achieved the purpose of understanding and identifying irregularities in harmonics and the conclusion drawn from the test validates that the behaviour of odd harmonics is largely irregular for different load conditions. Also some important deductions by analysis are taken for further fault detection analogies.","PeriodicalId":118509,"journal":{"name":"2016 Second International Conference on Computational Intelligence & Communication Technology (CICT)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130944474","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}
Cognitive radio (CR) has emerged as a promising solution to the spectrum scarcity problem, faced by all existing as well as newly proposed wireless services. In cognitive radio network (CRN) spectrum sensing plays the most important role and is considered as an integral part of CR. Among all the spectrum sensing schemes proposed in literature energy detection (ED) is commonly adopted due to its low complexity. But for low signal to noise ratio (SNR) region the performance of ED scheme deteriorates. To enhance the sensing performance of ED scheme for low SNR region, an adaptive threshold is considered in this paper. This adaptive threshold is a function of fixed (conventional) threshold and SNR of primary user (PU) signal received at CR. However the individual CR node may not give valid sensing results due to shadowing, multipath fading and hidden terminal problems of wireless communication channel. Therefore to deal with these problems we further implement the proposed approach under cooperation. In cooperative spectrum sensing (CSS) scheme, each CR will individually sense the spectrum using adaptive threshold and then transfer its decision to a central node also known as fusion center (FC). All the binary decisions received at FC are fused together and then final decision about the availability of spectrum is taken by FC. The simulation results show the better performance of adaptive threshold under cooperation than non-cooperation.
{"title":"Cooperative Spectrum Sensing for Cognitive Radio Based on Adaptive Threshold","authors":"Manisha Gupta, G. Verma, R. Dubey","doi":"10.1109/CICT.2016.94","DOIUrl":"https://doi.org/10.1109/CICT.2016.94","url":null,"abstract":"Cognitive radio (CR) has emerged as a promising solution to the spectrum scarcity problem, faced by all existing as well as newly proposed wireless services. In cognitive radio network (CRN) spectrum sensing plays the most important role and is considered as an integral part of CR. Among all the spectrum sensing schemes proposed in literature energy detection (ED) is commonly adopted due to its low complexity. But for low signal to noise ratio (SNR) region the performance of ED scheme deteriorates. To enhance the sensing performance of ED scheme for low SNR region, an adaptive threshold is considered in this paper. This adaptive threshold is a function of fixed (conventional) threshold and SNR of primary user (PU) signal received at CR. However the individual CR node may not give valid sensing results due to shadowing, multipath fading and hidden terminal problems of wireless communication channel. Therefore to deal with these problems we further implement the proposed approach under cooperation. In cooperative spectrum sensing (CSS) scheme, each CR will individually sense the spectrum using adaptive threshold and then transfer its decision to a central node also known as fusion center (FC). All the binary decisions received at FC are fused together and then final decision about the availability of spectrum is taken by FC. The simulation results show the better performance of adaptive threshold under cooperation than non-cooperation.","PeriodicalId":118509,"journal":{"name":"2016 Second International Conference on Computational Intelligence & Communication Technology (CICT)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128503762","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}
In this research we try to identify the human life inside debris in case of natural calamity. Here we are using acoustic sensors as an input and the reflected waves identify life of human being. The sensor is based on the concept of transmitting ultrasonic waves and analyzing the reflected waves to detect the motion of human body parts like lungs. It follows an incremental procedure as the transmitted frequency is incremented with each consecutive meter which is scanned for detecting human life. The depth of the buried individual is estimated on the basis of frequency emitted at that time stamp. The location coordinates are also achieved by using GPS device with the instrument. The gathered data is plotted live over the map by using softwares like Google Earth which provides it globally to fetch more help for victims. Advantages of acoustic sensors over sensors based on microwave radar technology are: sound can penetrates metal walls, and acoustic sensors are sensitive to slow motions, and so can detect stationary persons by breathing motion alone. The other advantage includes low cost and portability.
{"title":"Life Detection System during Natural Calamity","authors":"Pooja Garg, S. Srivastava","doi":"10.1109/CICT.2016.125","DOIUrl":"https://doi.org/10.1109/CICT.2016.125","url":null,"abstract":"In this research we try to identify the human life inside debris in case of natural calamity. Here we are using acoustic sensors as an input and the reflected waves identify life of human being. The sensor is based on the concept of transmitting ultrasonic waves and analyzing the reflected waves to detect the motion of human body parts like lungs. It follows an incremental procedure as the transmitted frequency is incremented with each consecutive meter which is scanned for detecting human life. The depth of the buried individual is estimated on the basis of frequency emitted at that time stamp. The location coordinates are also achieved by using GPS device with the instrument. The gathered data is plotted live over the map by using softwares like Google Earth which provides it globally to fetch more help for victims. Advantages of acoustic sensors over sensors based on microwave radar technology are: sound can penetrates metal walls, and acoustic sensors are sensitive to slow motions, and so can detect stationary persons by breathing motion alone. The other advantage includes low cost and portability.","PeriodicalId":118509,"journal":{"name":"2016 Second International Conference on Computational Intelligence & Communication Technology (CICT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128638348","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}
Seizures are mainly categorized as convulsive seizures and non-convulsive seizures. Diagnosis of convulsive seizures is easy due to its evident clinical manifestations. While these seizures can be the basis of neuronal damage, treatment is provided at the early stage due to its easy clinical diagnosis. On the other hand non-convulsive seizures lack convulsions. However, it too can cause neuronal damage. It can have fluctuating symptoms coupled with the mental state variation which makes the clinical diagnosis of it very difficult. Thus, it is frequently missed in patients of changed mental state. To confirm the diagnosis EEG is needed. This study gives an overview on the detection methods of non-convulsive seizures.
{"title":"A Review on Automated Detection of Non-convulsive Seizures Using EEG","authors":"A. Q. Ansari, Priyanka Sharma","doi":"10.1109/CICT.2016.63","DOIUrl":"https://doi.org/10.1109/CICT.2016.63","url":null,"abstract":"Seizures are mainly categorized as convulsive seizures and non-convulsive seizures. Diagnosis of convulsive seizures is easy due to its evident clinical manifestations. While these seizures can be the basis of neuronal damage, treatment is provided at the early stage due to its easy clinical diagnosis. On the other hand non-convulsive seizures lack convulsions. However, it too can cause neuronal damage. It can have fluctuating symptoms coupled with the mental state variation which makes the clinical diagnosis of it very difficult. Thus, it is frequently missed in patients of changed mental state. To confirm the diagnosis EEG is needed. This study gives an overview on the detection methods of non-convulsive seizures.","PeriodicalId":118509,"journal":{"name":"2016 Second International Conference on Computational Intelligence & Communication Technology (CICT)","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134334813","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}
A. Dahiya, A. Sengar, Dhirendra Kumar Dwivedi, Arun Kumar
This paper shows critical review of substrate Integrated waveguide (SIW) technology. Dielectric filled waveguide is converted into SIW with periodic arrangement of metallized holes on both sides of the it. SIW exhibit high pass response of conventional waveguide and band stop characteristics of periodic design. So filters designed using SIW exhibit less loss, less cost, less weight, high quality factor and high power handling capability. Various SIW passive and active circuits has been studied. Numerical method for modeling and design of SIW components is shown. A SIW has been designed showing insertion loss less than 0.1 dB. Design solutions for loss reduction are also discussed. Future design scope mainly aiming at Systems-on-Substrate integration of SIW components at higher frequencies including Ultra Wide Band range are also discussed.
{"title":"A Critical Review of Substrate Integrated Waveguide for Microwave Applications","authors":"A. Dahiya, A. Sengar, Dhirendra Kumar Dwivedi, Arun Kumar","doi":"10.1109/CICT.2016.104","DOIUrl":"https://doi.org/10.1109/CICT.2016.104","url":null,"abstract":"This paper shows critical review of substrate Integrated waveguide (SIW) technology. Dielectric filled waveguide is converted into SIW with periodic arrangement of metallized holes on both sides of the it. SIW exhibit high pass response of conventional waveguide and band stop characteristics of periodic design. So filters designed using SIW exhibit less loss, less cost, less weight, high quality factor and high power handling capability. Various SIW passive and active circuits has been studied. Numerical method for modeling and design of SIW components is shown. A SIW has been designed showing insertion loss less than 0.1 dB. Design solutions for loss reduction are also discussed. Future design scope mainly aiming at Systems-on-Substrate integration of SIW components at higher frequencies including Ultra Wide Band range are also discussed.","PeriodicalId":118509,"journal":{"name":"2016 Second International Conference on Computational Intelligence & Communication Technology (CICT)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132399310","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}
Customers trust is the most important factor for an organization success. This trust only builds if customers receive unhindered services from their vendors. A major threat in successfully building a customer-vendor trust relationship exists in the form of Distributed Denial of Service attacks. These attacks have become more evasive and complex with time such that existing security mechanisms are not sufficient to counter them. A lot of techniques are already proposed by various researchers to counter these attacks which have their own application domain, advantages and disadvantages. In this paper we present an extensive survey of recent DDoS mitigation techniques along with their comparative analysis.
{"title":"Survey on Recent DDoS Mitigation Techniques and Comparative Analysis","authors":"Ankur Rai, R. Challa","doi":"10.1109/CICT.2016.27","DOIUrl":"https://doi.org/10.1109/CICT.2016.27","url":null,"abstract":"Customers trust is the most important factor for an organization success. This trust only builds if customers receive unhindered services from their vendors. A major threat in successfully building a customer-vendor trust relationship exists in the form of Distributed Denial of Service attacks. These attacks have become more evasive and complex with time such that existing security mechanisms are not sufficient to counter them. A lot of techniques are already proposed by various researchers to counter these attacks which have their own application domain, advantages and disadvantages. In this paper we present an extensive survey of recent DDoS mitigation techniques along with their comparative analysis.","PeriodicalId":118509,"journal":{"name":"2016 Second International Conference on Computational Intelligence & Communication Technology (CICT)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129340374","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}
Cognitive Radio technology allows the unlicensed users to access the free licensed frequency band opportunistically to address the problem of the scarcity of unlicensed radio spectrum and for better utilization of the licensed radio spectrum. There was some problem in the cognitive radio systems such as Inter Symbol Interference and low data rate. To achieve the higher data rate and reduce the problem of Inter Symbol Interference, the Orthogonal Frequency Division Multiplexing modulation scheme has been used in cognitive radio systems. Basically OFDM modulation scheme transfers the data over multiple low rate subcarriers which are orthogonal to each other rather than single high rate carrier in conventional cognitive radio networks. It proves advantageous as it reduces the Inter-Symbol Interference, helps in spectrum sensing and also provides the interoperability. However it causes Peak-to-Average Power Ratio and reduces the spectral efficiency of OFDM based CR systems. In this technical paper various advantage of OFDM based cognitive radio and two major issues are also discussed along with various techniques to handle the PAPR problem.
{"title":"Effect of OFDM in Cognitive Radio: Advantages & Issues","authors":"Jagsir Singh, R. Garg, I. K. Aulakh","doi":"10.1109/CICT.2016.115","DOIUrl":"https://doi.org/10.1109/CICT.2016.115","url":null,"abstract":"Cognitive Radio technology allows the unlicensed users to access the free licensed frequency band opportunistically to address the problem of the scarcity of unlicensed radio spectrum and for better utilization of the licensed radio spectrum. There was some problem in the cognitive radio systems such as Inter Symbol Interference and low data rate. To achieve the higher data rate and reduce the problem of Inter Symbol Interference, the Orthogonal Frequency Division Multiplexing modulation scheme has been used in cognitive radio systems. Basically OFDM modulation scheme transfers the data over multiple low rate subcarriers which are orthogonal to each other rather than single high rate carrier in conventional cognitive radio networks. It proves advantageous as it reduces the Inter-Symbol Interference, helps in spectrum sensing and also provides the interoperability. However it causes Peak-to-Average Power Ratio and reduces the spectral efficiency of OFDM based CR systems. In this technical paper various advantage of OFDM based cognitive radio and two major issues are also discussed along with various techniques to handle the PAPR problem.","PeriodicalId":118509,"journal":{"name":"2016 Second International Conference on Computational Intelligence & Communication Technology (CICT)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122056545","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}
This paper proposes a modified positive feedback adiabatic logic (MPFAL) for ultra-low power circuits. MPFAL is based on positive DC voltage range 0.1 to 0.3 V. Half-adder and 1-bit full-adder incorporating this technique also been considered in this work. Comparison shows that average power is reduced in case of modified technique compared to positive feedback adiabatic logic (PFAL) for frequency range 10 MHz to 300 MHz and simulations are carried out by considering load capacitance from 30fF to 110fF. All the simulations have been done in Cadence Virtuoso Tool using UMC 180 nm CMOS technology. This technique can be used in ultra-low power digital circuits operated at higher frequencies.
{"title":"Modified Positive Feedback Adiabatic Logic for Ultra Low Power Adder","authors":"Shiv Pratap Singh Kushawaha, T. Sasamal","doi":"10.1109/CICT.2016.80","DOIUrl":"https://doi.org/10.1109/CICT.2016.80","url":null,"abstract":"This paper proposes a modified positive feedback adiabatic logic (MPFAL) for ultra-low power circuits. MPFAL is based on positive DC voltage range 0.1 to 0.3 V. Half-adder and 1-bit full-adder incorporating this technique also been considered in this work. Comparison shows that average power is reduced in case of modified technique compared to positive feedback adiabatic logic (PFAL) for frequency range 10 MHz to 300 MHz and simulations are carried out by considering load capacitance from 30fF to 110fF. All the simulations have been done in Cadence Virtuoso Tool using UMC 180 nm CMOS technology. This technique can be used in ultra-low power digital circuits operated at higher frequencies.","PeriodicalId":118509,"journal":{"name":"2016 Second International Conference on Computational Intelligence & Communication Technology (CICT)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125887069","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}
Artificial Neural Network is an information processing paradigm that is inspired by the biological nervous system. Decision Support System (DSS) has been identified as one of the important solution providers in the emerging field of Artificial Neural Networks. Medical Decision Support System (MDSS) is an interactive Decision Support System software, which is designed to assist physicians and other health professionals in decision making tasks and to diagnose the patient disease. The Medical Decision Support System reduces the diagnosis time and improves the accuracy of the diagnosis. One of the clinical tests performed to diagnose Congenital Heart Septum Defect is the Chest Radiography (X-Ray) through the contour of size, position and shape of the heart. In order to diagnose Congenital Heart Septum Defect, a physician analyzes the chest X-ray and extracts the features like heart size measurements. But manual extraction of features and diagnosis is a difficult task for a physician. Therefore, in the present study, an algorithm is developed to automatically analyze and to extract the features from Chest X-ray using Image Processing Techniques. Also, a Decision Support System is developed to Diagnose the Congenital Heart Septum Defect based on chest X-ray features using Backpropagation Neural Network model. The Network is trained by using a Delta Learning Rule. The proposed feature extraction algorithm and Decision Support System are implemented in MATLAB with GUI features.
{"title":"Congenital Heart Septum Defect Diagnosis on Chest X-Ray Features Using Neural Networks","authors":"S. Jyothi, K. Vanisree","doi":"10.1109/CICT.2016.59","DOIUrl":"https://doi.org/10.1109/CICT.2016.59","url":null,"abstract":"Artificial Neural Network is an information processing paradigm that is inspired by the biological nervous system. Decision Support System (DSS) has been identified as one of the important solution providers in the emerging field of Artificial Neural Networks. Medical Decision Support System (MDSS) is an interactive Decision Support System software, which is designed to assist physicians and other health professionals in decision making tasks and to diagnose the patient disease. The Medical Decision Support System reduces the diagnosis time and improves the accuracy of the diagnosis. One of the clinical tests performed to diagnose Congenital Heart Septum Defect is the Chest Radiography (X-Ray) through the contour of size, position and shape of the heart. In order to diagnose Congenital Heart Septum Defect, a physician analyzes the chest X-ray and extracts the features like heart size measurements. But manual extraction of features and diagnosis is a difficult task for a physician. Therefore, in the present study, an algorithm is developed to automatically analyze and to extract the features from Chest X-ray using Image Processing Techniques. Also, a Decision Support System is developed to Diagnose the Congenital Heart Septum Defect based on chest X-ray features using Backpropagation Neural Network model. The Network is trained by using a Delta Learning Rule. The proposed feature extraction algorithm and Decision Support System are implemented in MATLAB with GUI features.","PeriodicalId":118509,"journal":{"name":"2016 Second International Conference on Computational Intelligence & Communication Technology (CICT)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123811401","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}
TRIZ is an emerging theory which deals with innovative solutions to the problems challenging the industry. Though originally developed for machine designing purposes to remove the contradictions arising in the designing, TRIZ has found its feet in other areas as well. The underlying principle of the theory-"patterns of technical evolution are repeated across industries and sciences", makes its applications limitless. Taking into account the above facts, the authors were prompted to carry out an expansive survey. A classification framework was constructed which classified the literature dealing with the TRIZ applications according to various areas. This framework will help in furthering quality research in this field and augment the work of finding its applications in other fields as well.
{"title":"A Literature Survey and Classification Framework of TRIZ Methodology","authors":"Pulkit Sharma, R. Khanna, Vishal Bhatnagar","doi":"10.1109/CICT.2016.108","DOIUrl":"https://doi.org/10.1109/CICT.2016.108","url":null,"abstract":"TRIZ is an emerging theory which deals with innovative solutions to the problems challenging the industry. Though originally developed for machine designing purposes to remove the contradictions arising in the designing, TRIZ has found its feet in other areas as well. The underlying principle of the theory-\"patterns of technical evolution are repeated across industries and sciences\", makes its applications limitless. Taking into account the above facts, the authors were prompted to carry out an expansive survey. A classification framework was constructed which classified the literature dealing with the TRIZ applications according to various areas. This framework will help in furthering quality research in this field and augment the work of finding its applications in other fields as well.","PeriodicalId":118509,"journal":{"name":"2016 Second International Conference on Computational Intelligence & Communication Technology (CICT)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123873862","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}
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