{"title":"Development of Integrated IoT and Machine Learning based data collection and analysis system for the effective prediction of agricultural residue/ biomass availability to regenerate clean energy","authors":"Prabodh Mahajan, Chinmaya Naik","doi":"10.1109/ICETET-SIP-1946815.2019.9092156","DOIUrl":"https://doi.org/10.1109/ICETET-SIP-1946815.2019.9092156","url":null,"abstract":"India a country of 1.39 billion population, where use of wood, leaves and other such resources which are obtained from nature are being used as fuel, to cook the food, to light since time unknown. Similarly, in farms and agricultural lands after gathering dry matters from the fields post the harvesting process in the farms, the leftover such as leaves, small branches and other wastes from fields which includes unused manures, mixture of wastes and other kind of residues get collected in large amount and needs to manage properly. But it is observed that mainly these waste and residues are being burnt everywhere and considered as of no use, hence causing air pollution and environmental imbalance. This residual matter can be used efficiently for the regeneration of clean energy. We introduce an integrated system which harnesses the power of artificial intelligence to take the information from Wireless Sensors about the residual availability by collecting the categorized information from the data points in order to determine whether the waste at a substantial level is generated or not, thus incorporating a hierarchical model to collect the waste from all the data points which are locations of collection where the IoT device will be fixed. Thus, a Wireless Sensor Networks based centralized waste collection point where the waste and residues will be sent in order to implement the new techniques to generate clean energy which eventually will be useful for the villages for cooking, virgin wood fiber regeneration, daily chores and even generation of electricity as well.","PeriodicalId":200787,"journal":{"name":"2019 9th International Conference on Emerging Trends in Engineering and Technology - Signal and Information Processing (ICETET-SIP-19)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115253460","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}
{"title":"Hindi Multi-document Word Cloud based Summarization through Unsupervised Learning","authors":"P. Bafna, Jatinderkumar R. Saini","doi":"10.1109/ICETET-SIP-1946815.2019.9092259","DOIUrl":"https://doi.org/10.1109/ICETET-SIP-1946815.2019.9092259","url":null,"abstract":"Managing documents is a critical and significant task and supports many applications ranging from information retrieval to clustering search engine results. The multilinguistic facility provided by websites makes Hindi as a major language in the digital domain of information technology today. This work focuses on document management and summarization of Hindi corpus. The objective is to manage the documents and summarize Hindi corpus by applying extracting tokens and document clustering. The work is better in terms of scalability and supports consistent quality of cluster for incremental data set. Most of the past and contemporary research works have targeted English corpus document management. Hindi corpus has been mostly exploited by the researchers for exploring stemming, single- document summarization and classifier design on Hindi corpus. Implementing unsupervised learning on Hindi corpus for summarization of multiple documents through Word Cloud is still an untouched area. Technically speaking, the current work is an application of TF-IDF, cosine-based document similarity measures and cluster dendrograms, in addition to various other Natural Language Processing (NLP) activities. Entropy and precision are used to evaluate the experiments carried on different live and available/tested datasets and results","PeriodicalId":200787,"journal":{"name":"2019 9th International Conference on Emerging Trends in Engineering and Technology - Signal and Information Processing (ICETET-SIP-19)","volume":"395 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134323471","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}
I. Singh, R. Jaiswal, Varun Kumar, Rajiv Verma, N. P. Singh, G. Singh
{"title":"Outage Probability of Device-to-Device Communication Underlaying Cellular Network over Nakagami/Rayleigh Fading Channels","authors":"I. Singh, R. Jaiswal, Varun Kumar, Rajiv Verma, N. P. Singh, G. Singh","doi":"10.1109/ICETET-SIP-1946815.2019.9092306","DOIUrl":"https://doi.org/10.1109/ICETET-SIP-1946815.2019.9092306","url":null,"abstract":"Device-to-Device (D2D) communication allows two mobile users to communicate straight way with each other. D2D communication that underlay conventional cellular networks has been recognized as a novel approach to alleviate the outage performance and ameliorate the throughput of the traditional cellular system. The co-channel interference is the major weakness of D2D communication in D2D based cellular system. The purpose of this paper is to derive the expression of D2D link outage probability (OP) for D2D based cellular system by utilizing stochastic geometry and to evaluate the achievement of existing cellular system. The Rayleigh fading, and Nakagami-m fading have been considered for the co-channel interference signals and desired signal, respectively. Expression of OP is derived and presented in terms of the Gauss hypergeometric function. This analysis acknowledge the influence of main system parameters on outage performance of the network. Results show the D2D outage probability is depends on SIR threshold, D2D pair distance, path-loss exponent, and fading parameter m. Finally, the results obtained from numerical analysis are corroborate through Monte-Carlo simulations which may gives the guidelines for network designer.","PeriodicalId":200787,"journal":{"name":"2019 9th International Conference on Emerging Trends in Engineering and Technology - Signal and Information Processing (ICETET-SIP-19)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125041068","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}
Akshita Baisware, Bharati B. Sayankar, Saurabh Hood
{"title":"Review on Recent Advances in Human Action Recognition in Video Data","authors":"Akshita Baisware, Bharati B. Sayankar, Saurabh Hood","doi":"10.1109/ICETET-SIP-1946815.2019.9092193","DOIUrl":"https://doi.org/10.1109/ICETET-SIP-1946815.2019.9092193","url":null,"abstract":"AI has achieved new heights in image recognition, human action recognition and NLP. It has a vast area of implementations such as IoT, robotics, biosciences and surveillance. Video based human action recognition has lots of potential applications that make it the most sought after field for researchers. With the constant growth of high performance computing, computer vision and GPUs, deep learning based human activity recognition is one of the constant evolving and promising stream. This review focuses on recent advancements in the field of action recognition based on deep learning. The present state of the art techniques for action recognition and prediction as well as the future scope for the research is discussed in the paper.","PeriodicalId":200787,"journal":{"name":"2019 9th International Conference on Emerging Trends in Engineering and Technology - Signal and Information Processing (ICETET-SIP-19)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132565421","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}
{"title":"ICETET-SIP-19 2019 Author Index","authors":"","doi":"10.1109/icetet-sip-1946815.2019.9091995","DOIUrl":"https://doi.org/10.1109/icetet-sip-1946815.2019.9091995","url":null,"abstract":"","PeriodicalId":200787,"journal":{"name":"2019 9th International Conference on Emerging Trends in Engineering and Technology - Signal and Information Processing (ICETET-SIP-19)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115048008","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}
{"title":"A Review of AI and ML Applications for Computing Systems","authors":"A. Negi, K. Rajesh","doi":"10.1109/ICETET-SIP-1946815.2019.9092299","DOIUrl":"https://doi.org/10.1109/ICETET-SIP-1946815.2019.9092299","url":null,"abstract":"Machine Learning and Artificial Intelligence techniques are becoming increasingly useful in various domains. Here we give a review of their application in various computer systems. The ubiquity of applications in AI and ML are fostered by increase in availability of data, advances in computing technology and new robust techniques. Unlike the present trend of Deep Learning approaches here we present techniques that can be applied to variety of applications without huge training data requirements. In this paper, we show how Machine Learning and Artificial Intelligence methods are applied in various domains in computer systems, including those of networks and operating systems.","PeriodicalId":200787,"journal":{"name":"2019 9th International Conference on Emerging Trends in Engineering and Technology - Signal and Information Processing (ICETET-SIP-19)","volume":"92 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129899345","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}
{"title":"Encapsulation of Full Adder Using 180nm CNTFET","authors":"Diksha Manikkule, Pravin W. Jaronde","doi":"10.1109/ICETET-SIP-1946815.2019.9092017","DOIUrl":"https://doi.org/10.1109/ICETET-SIP-1946815.2019.9092017","url":null,"abstract":"Binary logic is limited to only two states as it is two-valued logic. The ternary logic is the promising alternative to the conventional binary logic which is also called as trivalent logic. Energy efficiency and reduction in chip area as well as complexity plays an important role in ternary. Nowadays CNTFET device is more significant than the other due to higher channel mobility and also enhanced the gate capacitance. In CMOS, the complexity of an interconnect and chip area is increased as the number of function increases. This paper proposed an approach of using CNTFETs operate for faster and even consume less power in comparison with traditional MOS devices. Ternary full adder is designed using ternary decoder and result is simulated in TSPICE.","PeriodicalId":200787,"journal":{"name":"2019 9th International Conference on Emerging Trends in Engineering and Technology - Signal and Information Processing (ICETET-SIP-19)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133190763","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}
Balaji Rao Katika, P. Hajare, Ravi Mishra, Kamal Kashyap
{"title":"Spoofing Face Identification Using Higher order Descriptors","authors":"Balaji Rao Katika, P. Hajare, Ravi Mishra, Kamal Kashyap","doi":"10.1109/ICETET-SIP-1946815.2019.9092301","DOIUrl":"https://doi.org/10.1109/ICETET-SIP-1946815.2019.9092301","url":null,"abstract":"This paper proposes a novel higher order descriptors as Local Derivative Pattern(LDP), for face liveliness detection. We uses LDP frame work as directional descriptors based on change in texture of face. The nth order LDP descriptors are proposed to encode (n − 1)th directional derivatives to identify the texture for different kinds of face attack. LDP captures more detail information compare to first order LBP approach. We use LDP descriptor of derivatives order n = (2, 3, 4) and histogram bins are computed to form directional features for both genuine and different kinds of attack faces. An Multi layer perceptron (MLP) as week learner used for identification of genuine and attack face. Performance is evaluated by using MS-MSU database which consists of real genuine face and different kinds of attack face.","PeriodicalId":200787,"journal":{"name":"2019 9th International Conference on Emerging Trends in Engineering and Technology - Signal and Information Processing (ICETET-SIP-19)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130926768","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}
{"title":"Sliding Mode Observer Based Tip-Tracking Control of 2-DOF Serial Flexible Link Manipulator","authors":"U. Sahu, D. Patra, B. Subudhi","doi":"10.1109/ICETET-SIP-1946815.2019.9092199","DOIUrl":"https://doi.org/10.1109/ICETET-SIP-1946815.2019.9092199","url":null,"abstract":"Nowadays, lightweight flexible robot is used in many space robots, because these are more transportable and more maneuverable, unlike the rigid-link robot manipulator. However, due to non-minimum phase behavior and distributed link flexure tip-tracking control of FLM is challenging. Also, inherent model uncertainties and environmental disturbance lead to an error in tip-positioning and link vibration. To deal with these challenges, the composite controller is designed. In which, Sliding Mode Observer (SMO) based new estimation law is proposed, to reconstruct uncertain parameter for accurate tip-tracking control of 2-DOF Serial Flexible Link Manipulator (2DSFLM). The Lyapunov theory is used to investigate both convergence and stability of the proposed control system. The performance and robustness of the developed SMO for 2DSFLM is investigated by pursuing simulation studies. It is observed from the simulation studies that the developed composite control scheme effectively estimates the deviation in tip-tracking performance of 2DSFLM with an improved transient response.","PeriodicalId":200787,"journal":{"name":"2019 9th International Conference on Emerging Trends in Engineering and Technology - Signal and Information Processing (ICETET-SIP-19)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114953806","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}
{"title":"Hand Gesture Controlled Robot","authors":"Pranay Iyer, Sanjana Tarekar, S. Dixit","doi":"10.1109/ICETET-SIP-1946815.2019.9092032","DOIUrl":"https://doi.org/10.1109/ICETET-SIP-1946815.2019.9092032","url":null,"abstract":"The work proposes constructive design of hand gesture control robot. This system acts as a channel between the human and the robot through physical change such as tilting of hand. Instead of using joystick or physical controller with buttons, hand gestures are used. This device can be very useful for surveillance, military operations and industrial grade robotic arms physically challenged individuals.","PeriodicalId":200787,"journal":{"name":"2019 9th International Conference on Emerging Trends in Engineering and Technology - Signal and Information Processing (ICETET-SIP-19)","volume":"519 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134144244","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}