{"title":"Design of adder and binary multiplier in QCA using coplanar technique","authors":"T. Sasamal, Awanish Kumar","doi":"10.1109/I2C2.2017.8321865","DOIUrl":"https://doi.org/10.1109/I2C2.2017.8321865","url":null,"abstract":"CMOS is working on the moore's law, but according to moore's law the number of transistor on a single chip will be double after every 18 months, so CMOS technology is going to reach its physical scaling limit by next few years. Several emerging technologies are there to replace the CMOS technology. QCA (Quantum-dot Cellular Automata) is one of the dominating technology having a very high speed, high density and very low power consumption. A Unique methodology for computation and communication are offered by QCA, namely “processing in wire” and “memory-in-motion”. In digital system the necessity of adder and multiplier circuitry is very common. It may be using either integer or the floating point number for its application, the operands should be executed at very high speed. In this paper we are using the fixed point number instead of floating point number. The multiplier is the elementary component of arithmetic logic unit; thus it has a great impact on the performance of central processing unit (CPU). we have presented ripple carry adder (RCA) using full adder(FA), and the 4-bit by 4-bit binary multiplier.","PeriodicalId":288351,"journal":{"name":"2017 International Conference on Intelligent Computing and Control (I2C2)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128266653","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 schematic review on body area networks for E-health systems","authors":"P. Sonawane, R. Sutar","doi":"10.1109/I2C2.2017.8321822","DOIUrl":"https://doi.org/10.1109/I2C2.2017.8321822","url":null,"abstract":"The speedy elevation in the field of Wireless Communication and Semi-Conductor technologies have led to the expansion of Sensor networks aiding a wide range of applications in field of the Wireless Sensor Networks. IEEE 802.15 WPAN Task Group 6 (TG6) has developed Communication Standards optimized for the low power Body Area Networks. The recent trends in the Wearable devices have made the World smaller and healthier by integrating portable and low power computing devices. Thus, making it feasible to track and reach the Health and Fitness goals by monitoring Physical activity, Exercise, Sleep, Heart Rate, Blood Pressure etc. In order to achieve real time Fitness monitoring, multiple Sensor nodes are either placed externally or implanted inside body. These nodes yields the Bio-information of the patient supporting Quality of Service (QoS) for extremely low power application. The obtained information from the sensor nodes is passed on to the E-Cloud by means of E-Health platform. Various E-platforms have been launched encouraging the integration of new and existing networks to maximizes the scope of WBAN. This paper evaluates and reviews the latest low power Wireless systems and the future scope of Tele-Monitoring and Mobile Health (mHealth). It highlights the evolution of Body Area Network with Wireless Technologies and existing Standards addressing health priorities.","PeriodicalId":288351,"journal":{"name":"2017 International Conference on Intelligent Computing and Control (I2C2)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127046428","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":"Fuzzy ontology based recommender system with diversification mechanism","authors":"S. Shafna, V Viji Rajendran","doi":"10.1109/I2C2.2017.8321849","DOIUrl":"https://doi.org/10.1109/I2C2.2017.8321849","url":null,"abstract":"Recommender system is defined as technique that endeavors to recommend item by predicting users interest. Existing recommender system has various flaws like cold start problem, data sparsity, over specialization issues and scalability issues. Ontological information about a certain domain can be embedded with the recommender system so as to represent both user profiles and domain objects in more sophisticated and accurate way. It also handles better matching procedures with the help of semantic similarity measures. A fuzzy ontology could be employed as a means to address imprecise and vague information associated with user profile and domain. The advancement at the knowledge representation level and at the reasoning level lead to more accurate recommendations and to elevate the execution of recommender systems. Recommender system with diversification process may produce serendipitous results, which allow users to explore unexpected and relevant items. Diversification mechanism focused on pre clustered instance set of similar user, not only reduces the computational cost considerably but also gives the collaborative touch to the system.","PeriodicalId":288351,"journal":{"name":"2017 International Conference on Intelligent Computing and Control (I2C2)","volume":"505 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130655766","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":"Performance comparison of space shift keying MIMO techniques for visible light communication","authors":"C. Kumar, R. Jeyachitra","doi":"10.1109/I2C2.2017.8321883","DOIUrl":"https://doi.org/10.1109/I2C2.2017.8321883","url":null,"abstract":"We compare various space shift keying multiple input multiple output (SSK-MIMO) techniques such as generalized space shift keying (GSSK), hamming code aided space shift keying (HSSK) and variable generalized space shift keying (VGSSK) for visible light communication (VLC) system. In addition, we analyze the bit error rate (BER) performance of these schemes for channels with different correlations. The BER expressions of these schemes are analytically approximated and used for the performance comparison. The suitability of VGSSK-MIMO for VLC is justified by its performance gain obtained over the other better performing SSK-MIMO systems. From the simulations, it is observed that the performance gain of 1 dB is achievable steadily under both high and less correlated channels for 3 bit/s/Hz by VGSSK over HSSK.","PeriodicalId":288351,"journal":{"name":"2017 International Conference on Intelligent Computing and Control (I2C2)","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132467719","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":"Nadi pariksha system for health diagnosis","authors":"S. Chaudhari, R. Mudhalwadkar","doi":"10.1109/i2c2.2017.8321935","DOIUrl":"https://doi.org/10.1109/i2c2.2017.8321935","url":null,"abstract":"The populace in the world is increasing vastly, so peoples have to face diffrent types of diseases. But this disease detection tests are very expensive and needs more time and painful. It is not easy for poor people to go through it. In Ancient Ayurveda, there is miraculous science technique for knowing the imbalance of the human body, which is known as Nadi pariksha. Nadi Pariksha is the technique of feeling the palpations of adjoining three points of the radial artery, a few millimeters below the starting point of the base of the thumb. This method of sensing the pressure pulses used for the diagnosis of the diseases. But this Nadi parikshan requires expertise who has long experience and skill of reading the pulses for any disease diagnosis. In this paper, the system is designed using photoelectric sensors using DAQ card and LabVIEW. The feature extraction, power spectrum tool and ApEn are used for analysis of the signals for prediction of health.","PeriodicalId":288351,"journal":{"name":"2017 International Conference on Intelligent Computing and Control (I2C2)","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123291537","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":"An enhanced study on cloud data services using security technologies","authors":"J. Raja, M. Ramakrishnan","doi":"10.1109/I2C2.2017.8321874","DOIUrl":"https://doi.org/10.1109/I2C2.2017.8321874","url":null,"abstract":"Cloud computing is one of the greatest growing field for outsourcing data to cloud server. Among the rapid invention in cloud computing technologies, providing data services to the industry people, enterprises and individual in the cloud environment is a serious issue. Implementing security techniques in the cloud server is very complex task due to tremendous growth in cloud environment. These cloud servers are hosted on internet to perform operation such as read, write, store and organize the data rather than on desktop computer. While processing the data on cloud server under open network, business people faces massive security and privacy risks. The majority of the threat includes data leakage, data corruption and privacy preservation in cloud environments. In recent times, several studies have been proposed to addresses these threats and also provide solutions to enable the protection on the cloud data. In this paper, we present the enhanced study on cloud data services also we discuss the security threats and its requirements to outsource the data to a cloud server. Finally, we present the open challenges and current research directions in each category of solution to the data services.","PeriodicalId":288351,"journal":{"name":"2017 International Conference on Intelligent Computing and Control (I2C2)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123768364","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":"MIMO OCDM with reduced PAPR","authors":"K. V. Rema, N. Rajeev, M. K. Manoj","doi":"10.1109/I2C2.2017.8321844","DOIUrl":"https://doi.org/10.1109/I2C2.2017.8321844","url":null,"abstract":"Chirp also known as linear frequency modulated waves are signals, having frequency and phase vary with time in a certain manner and is found in many applications. Its ability of pulse compression and spread spectrum finds its application in the area of radar systems and communication systems. This paper presents a Multiple Input Multiple Output Orthogonal Chirp Division Multiplexing (MIMO OCDM) system. The system is able to orthogonally multiplex a group of chirp wave form and it is best for high speed communication. Fresnel transform which is originating from classical optics is the kernel of MIMO OCDM system; it achieves better spectral efficiency for chirp spread spectrum just as OFDM done for FDM system. The proposed system can be digitally implemented by using discrete Fresnel transform. The results and discussions reveal that MIMO OCDM system can be easily integrated into MIMO OFDM system. One of the main drawbacks of OFDM system is the presence of high peaks at the IFFT output. The methods to reduce PAPR in OFDM system can be easily applicable to OCDM system. In MIMO OCDM system, the PAPR is reduced by using Modified Tone Reservation method. The simulations are done by using MATLAB. The chirp signal has a wideband of spectrum so that, it is immune to multipath fading, channel noise and Doppler Effect within the channel. So MIMO OCDM system is also immune these adverse effects and also effectively use multipath diversity. From the analysis it is clear that the proposed system MIMO OCDM system outperforms conventional MIMO OFDM system.","PeriodicalId":288351,"journal":{"name":"2017 International Conference on Intelligent Computing and Control (I2C2)","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125628157","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":"An enhanced approach for querying integrated web analytics ontology using Quepy","authors":"K. Reshma, V. Rajendran","doi":"10.1109/I2C2.2017.8321807","DOIUrl":"https://doi.org/10.1109/I2C2.2017.8321807","url":null,"abstract":"Web analytics is becoming an inevitable aspect in today's Ecommerce scenario, It allows the companies and Ecommerce website owners to track the behavior of customers visiting their website which helps to improvise them. Eventhough there exists an extensive variety of tools for web investigation in market, for example, google analytics, crazy egg, piwik etc. the significant issue confronted is that the vast majority of the tools concentrate on low level and limited set of attributes. This focuses to the significance of an ontology based method which gather web investigation information from many wellsprings of web analytics tools, as a result a web analytics ontology(WAO) is made. This web analytics ontology considers large and complimented set of web metrics and attributes and there by making analytics much more meticulous. Fetching data from WAO is done by means of SPARQL query and that is a keyword based search which searches tremendous volume of data. It is quite difficult for a beginer to learn such a high level query language. Therefore to conquer the confinement of such a question answering system for web analytics, This paper proposes an enhanced approach for querying WAO. In the proposed approach user enters a natural language query and for that query meaningful concepts are extracted from web analytics ontology to form the SPARQL query and then it is fired on the knowledge base(ontology) that finds appropriate RDF triples. The proposed system converts the natural query to SPARQL query using Quepy framework.","PeriodicalId":288351,"journal":{"name":"2017 International Conference on Intelligent Computing and Control (I2C2)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128040654","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":"Multi label text classification for un-trained data through supervised learning","authors":"Mayank Budhiraja","doi":"10.1109/I2C2.2017.8321804","DOIUrl":"https://doi.org/10.1109/I2C2.2017.8321804","url":null,"abstract":"World of digital data is growing at an aggressive rate, where every single minute new data is created and processed. All information retrieval processes are gone from insufficient to overflowing. It is doubling each and every year which makes information retrieval more challenging. Our focus is to turn this immense data streams from a liability to our strengths.","PeriodicalId":288351,"journal":{"name":"2017 International Conference on Intelligent Computing and Control (I2C2)","volume":"167 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131145663","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":"Pathological lung classification using random forest classifier","authors":"B. Vijayakumari, M. Manikumaran","doi":"10.1109/I2C2.2017.8321922","DOIUrl":"https://doi.org/10.1109/I2C2.2017.8321922","url":null,"abstract":"The correct classification of pathological lung images could be a little bit complex task in medical imaging applications. The present day analyses aren't correct to afford an improved solution for images with dense pathologies. In this proposed framework the patch approximation has been performed with the lung Computed Tomography (CT) scan images. Next, the patches are labeling with corresponding categories. The feature vectors like Gray Level Co-occurrence Matrix (GLCM), Gray Level Run Length Matrix (GLRLM) and Rotation-invariant Gabor Local Binary Pattern (RGLBP) are extracted from the patches. Then, these feature vectors are given to the random forest classifier. The various classes consider for the analysis are Normal, Ground-glass opacity, Honeycomb and Tree-in-bud. Finally the performance of the proposed technique is evaluated by means of sensitivity, specificity and accuracy.","PeriodicalId":288351,"journal":{"name":"2017 International Conference on Intelligent Computing and Control (I2C2)","volume":"231 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121264863","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}