Pub Date : 2017-07-01DOI: 10.1109/ICCCNT.2017.8204134
A. Babu, A. Shyna
Human Action Recognition is a significant and challenging field of interest in Research and Industry. In this paper, the Selective Spatiotemporal Interest Points (Selective STIPs) are extracted from the input video and is labeled using a dictionary. The actions are segmented into sub-actions, and then the temporal and spatial structure is captured. The segmentation is done on the basis of interest point density. The spatial and temporal relationships between the labeled STIPs is represented using Space Salient and Time Salient directed graphs respectively. Time Salient pairwise feature (TSP) and Space Salient pairwise feature (SSP) is computed from corresponding directed graphs. The Selective STIP suppresses the background STIPs and detects more robust STIPs from the actors which improves performance of recognition. The Bag-of-Visual Words model combined with TSP and SSP for human action classification provides a more promising result.
{"title":"Spatiotemporal saliency and sub action segmentation for human action recognition","authors":"A. Babu, A. Shyna","doi":"10.1109/ICCCNT.2017.8204134","DOIUrl":"https://doi.org/10.1109/ICCCNT.2017.8204134","url":null,"abstract":"Human Action Recognition is a significant and challenging field of interest in Research and Industry. In this paper, the Selective Spatiotemporal Interest Points (Selective STIPs) are extracted from the input video and is labeled using a dictionary. The actions are segmented into sub-actions, and then the temporal and spatial structure is captured. The segmentation is done on the basis of interest point density. The spatial and temporal relationships between the labeled STIPs is represented using Space Salient and Time Salient directed graphs respectively. Time Salient pairwise feature (TSP) and Space Salient pairwise feature (SSP) is computed from corresponding directed graphs. The Selective STIP suppresses the background STIPs and detects more robust STIPs from the actors which improves performance of recognition. The Bag-of-Visual Words model combined with TSP and SSP for human action classification provides a more promising result.","PeriodicalId":6581,"journal":{"name":"2017 8th International Conference on Computing, Communication and Networking Technologies (ICCCNT)","volume":"48 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86333219","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 : 2017-07-01DOI: 10.1109/ICCCNT.2017.8203909
P. Agrawal, Anjan Kumar, M. Pattanaik
Conventional MTCMOS technique is an efficient method for minimizing leakage current in sleep mode but it gives rise to a new problem i.e. wake up noise during active mode transition which gives the wrong output as well as reduces the lifetime of circuits. Wake up noise produce during OFF mode to ON mode transition which is an important challenge for MTCMOS circuits. Here a diode based multi mode 16 bit 8T full adder design is proposed for reducing this wake up noise and leakage current. In proposed technique we use a additional body biased based high Vth parallel pMOS for reduction of peak amplitude of wake up noise during active mode transition will also provide a way to control the leakage current in sleep mode due to stacking effect. The MTCMOS 16 bit 8T full adder design reduces the peak amplitude of wake up noise efficiently by 97.17% and reduce leakage current by 84.74% as compare to tri-mode MTCMOS technique and 16.81% reduced as compare to Dual switch MTCMOS technique To evaluate the significance of the proposed technique, the simulation has been performed for 16-bit 8T full adder circuit using tanner EDA with 90nm standard CMOS technology.
{"title":"Diode based multi mode MTCMOS 8T adder for wake up noise minimization in 90nm CMOS technology","authors":"P. Agrawal, Anjan Kumar, M. Pattanaik","doi":"10.1109/ICCCNT.2017.8203909","DOIUrl":"https://doi.org/10.1109/ICCCNT.2017.8203909","url":null,"abstract":"Conventional MTCMOS technique is an efficient method for minimizing leakage current in sleep mode but it gives rise to a new problem i.e. wake up noise during active mode transition which gives the wrong output as well as reduces the lifetime of circuits. Wake up noise produce during OFF mode to ON mode transition which is an important challenge for MTCMOS circuits. Here a diode based multi mode 16 bit 8T full adder design is proposed for reducing this wake up noise and leakage current. In proposed technique we use a additional body biased based high Vth parallel pMOS for reduction of peak amplitude of wake up noise during active mode transition will also provide a way to control the leakage current in sleep mode due to stacking effect. The MTCMOS 16 bit 8T full adder design reduces the peak amplitude of wake up noise efficiently by 97.17% and reduce leakage current by 84.74% as compare to tri-mode MTCMOS technique and 16.81% reduced as compare to Dual switch MTCMOS technique To evaluate the significance of the proposed technique, the simulation has been performed for 16-bit 8T full adder circuit using tanner EDA with 90nm standard CMOS technology.","PeriodicalId":6581,"journal":{"name":"2017 8th International Conference on Computing, Communication and Networking Technologies (ICCCNT)","volume":"43 1","pages":"1-7"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86795360","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 : 2017-07-01DOI: 10.1109/ICCCNT.2017.8203949
Priyanka Das, A. Das
Crime against women in India is on increase over the past few years and enormous crime reports are being generated everyday. But it is difficult to manually access the crime reports to derive useful information that can provide insights to the law enforcement officers for analysing the crime trends. The present work emphasizes on a simple yet efficient two stage approach for analysing crime against women in India. Initially, the proposed framework extracts crime reports from online newspaper articles. Once the data is collected, the first stage approach provides an interesting aspect by identifying named entities like name of states, cities, person etc. from the dataset and a collection of top ten entities of various categories is ranked according to their frequency of occurrence. The preliminary assessment shows feasible results which are also compared with crime records drawn from National Crime Records Bureau. However, the identified subtypes of entities are mostly ignored whereas dealing only with the basic entities fails to provide in-depth recognition of crime trends. So considering the subtypes can really provide the prerequisites for finer distinction in the field of crime data mining. The second stage approach in the present work considers the sub-types of named entities as ‘Modus Operandi’ features (mode of operation) of the crime that caters exquisite perception of the crime performed against women in India. Though lot of research exists on crime analysis, considering modus operandi features is very less. The present work demonstrates the effectiveness of the method with high recall and precision for the identified named entities.
{"title":"A two-stage approach of named-entity recognition for crime analysis","authors":"Priyanka Das, A. Das","doi":"10.1109/ICCCNT.2017.8203949","DOIUrl":"https://doi.org/10.1109/ICCCNT.2017.8203949","url":null,"abstract":"Crime against women in India is on increase over the past few years and enormous crime reports are being generated everyday. But it is difficult to manually access the crime reports to derive useful information that can provide insights to the law enforcement officers for analysing the crime trends. The present work emphasizes on a simple yet efficient two stage approach for analysing crime against women in India. Initially, the proposed framework extracts crime reports from online newspaper articles. Once the data is collected, the first stage approach provides an interesting aspect by identifying named entities like name of states, cities, person etc. from the dataset and a collection of top ten entities of various categories is ranked according to their frequency of occurrence. The preliminary assessment shows feasible results which are also compared with crime records drawn from National Crime Records Bureau. However, the identified subtypes of entities are mostly ignored whereas dealing only with the basic entities fails to provide in-depth recognition of crime trends. So considering the subtypes can really provide the prerequisites for finer distinction in the field of crime data mining. The second stage approach in the present work considers the sub-types of named entities as ‘Modus Operandi’ features (mode of operation) of the crime that caters exquisite perception of the crime performed against women in India. Though lot of research exists on crime analysis, considering modus operandi features is very less. The present work demonstrates the effectiveness of the method with high recall and precision for the identified named entities.","PeriodicalId":6581,"journal":{"name":"2017 8th International Conference on Computing, Communication and Networking Technologies (ICCCNT)","volume":"6 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86810291","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 : 2017-07-01DOI: 10.1109/ICCCNT.2017.8203989
Neha Sharma, Kanika Sharma
A WSN consists of large number of small power units called nodes that perform the operation of sensing, data collection, computation, compression, transmission. Recently there has been much stress on improvements in WSNs by designing new techniques and approaches for achieving energy efficiency and improved lifetime. Since the network is constrained in terms of capabilities of power, energy, computation it is necessary to deal with these efficiently. Previous work in survey consists of either stating extensions of a particular protocol or categorizing the various protocols. This paper tries to summarize all modified latest methods in terms of CH selection, new mathematical formulations, balancing of cluster loads, number of static sinks, linear clustering etc. Paper includes optimized LEACH-C, advanced MODLEACH, improved PEGASIS, P-LEACH, DAPTEEN, SEECH, LCH, REACH-IN.
{"title":"Routing and clustering optimization techniques in WSN: A review","authors":"Neha Sharma, Kanika Sharma","doi":"10.1109/ICCCNT.2017.8203989","DOIUrl":"https://doi.org/10.1109/ICCCNT.2017.8203989","url":null,"abstract":"A WSN consists of large number of small power units called nodes that perform the operation of sensing, data collection, computation, compression, transmission. Recently there has been much stress on improvements in WSNs by designing new techniques and approaches for achieving energy efficiency and improved lifetime. Since the network is constrained in terms of capabilities of power, energy, computation it is necessary to deal with these efficiently. Previous work in survey consists of either stating extensions of a particular protocol or categorizing the various protocols. This paper tries to summarize all modified latest methods in terms of CH selection, new mathematical formulations, balancing of cluster loads, number of static sinks, linear clustering etc. Paper includes optimized LEACH-C, advanced MODLEACH, improved PEGASIS, P-LEACH, DAPTEEN, SEECH, LCH, REACH-IN.","PeriodicalId":6581,"journal":{"name":"2017 8th International Conference on Computing, Communication and Networking Technologies (ICCCNT)","volume":"87 1","pages":"1-7"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85934228","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 : 2017-07-01DOI: 10.1109/ICCCNT.2017.8204102
P. M. Arabi, Surekha Nigudgi, Tejaswi Bhat, Abrar Ahmed
Diabetes is a chronic disease occurring due to insufficient production of insulin by the pancreas or the body's ineffective usage of the insulin produced. The former leads to Type 1 diabetes whereas the latter leads to Type 2 diabetes. Diabetes is estimated to have affected 422 million people globally and 69.2 million people in India, every year. Diabetes if left untreated can cause serious health complications such as peripheral nerve dysfunction, diabetic retinopathy, diabetic foot and also doubles the risk of early death, thus making early diagnosis very essential for better disease management, thus improving the quality of life of the patient. If diabetic foot is not detected at an early stage, it may lead to foot amputation of the patient. This paper presents a neoteric technique for diagnosis of diabetic foot by using NIR images and the thermoregulatory behavior of a patient's feet. A total of 10 sets of images (60 images) of 10 subjects were obtained and analyzed statistically using pixel intensity matrix parameters. The results obtained show that there is a distinct variation in the image parameters between the healthy and diabetic person's foot images; this may lead to the feasibility of developing an expert system for automatic screening of diabetic foot.
{"title":"Investigations on diabetic foot impairment using NIR images and thermoregulatory behavior","authors":"P. M. Arabi, Surekha Nigudgi, Tejaswi Bhat, Abrar Ahmed","doi":"10.1109/ICCCNT.2017.8204102","DOIUrl":"https://doi.org/10.1109/ICCCNT.2017.8204102","url":null,"abstract":"Diabetes is a chronic disease occurring due to insufficient production of insulin by the pancreas or the body's ineffective usage of the insulin produced. The former leads to Type 1 diabetes whereas the latter leads to Type 2 diabetes. Diabetes is estimated to have affected 422 million people globally and 69.2 million people in India, every year. Diabetes if left untreated can cause serious health complications such as peripheral nerve dysfunction, diabetic retinopathy, diabetic foot and also doubles the risk of early death, thus making early diagnosis very essential for better disease management, thus improving the quality of life of the patient. If diabetic foot is not detected at an early stage, it may lead to foot amputation of the patient. This paper presents a neoteric technique for diagnosis of diabetic foot by using NIR images and the thermoregulatory behavior of a patient's feet. A total of 10 sets of images (60 images) of 10 subjects were obtained and analyzed statistically using pixel intensity matrix parameters. The results obtained show that there is a distinct variation in the image parameters between the healthy and diabetic person's foot images; this may lead to the feasibility of developing an expert system for automatic screening of diabetic foot.","PeriodicalId":6581,"journal":{"name":"2017 8th International Conference on Computing, Communication and Networking Technologies (ICCCNT)","volume":"18 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86011810","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 : 2017-07-01DOI: 10.1109/ICCCNT.2017.8204162
Anuraj Singh, Chirag Chhablani, Lavika Goel
Nature inspired meta heuristics are inspired from the phenomenon which occur in nature. Wide range bio-inspired algorithms provide good results when applied to various kind of applications. In our research we focus on a new nature-inspired algorithm called Moth Flame Optimization(MFO) and adopt it for efficient land cover feature extraction. MFO is based upon the navigation technique of Moths to move in straight line called transverse orientation. Remote sensing is an area which provides enormous benefits for the mankind and a lot of classification techniques have been applied to produce good results. The results are compared to the existing algorithms for the satellite data of Alwar region. We therefore present a model to adopt the MFO algorithm for Image Classification.
{"title":"Moth flame optimization for land cover feature extraction in remote sensing images","authors":"Anuraj Singh, Chirag Chhablani, Lavika Goel","doi":"10.1109/ICCCNT.2017.8204162","DOIUrl":"https://doi.org/10.1109/ICCCNT.2017.8204162","url":null,"abstract":"Nature inspired meta heuristics are inspired from the phenomenon which occur in nature. Wide range bio-inspired algorithms provide good results when applied to various kind of applications. In our research we focus on a new nature-inspired algorithm called Moth Flame Optimization(MFO) and adopt it for efficient land cover feature extraction. MFO is based upon the navigation technique of Moths to move in straight line called transverse orientation. Remote sensing is an area which provides enormous benefits for the mankind and a lot of classification techniques have been applied to produce good results. The results are compared to the existing algorithms for the satellite data of Alwar region. We therefore present a model to adopt the MFO algorithm for Image Classification.","PeriodicalId":6581,"journal":{"name":"2017 8th International Conference on Computing, Communication and Networking Technologies (ICCCNT)","volume":"15 1","pages":"1-7"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84339573","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 : 2017-07-01DOI: 10.1109/ICCCNT.2017.8204008
B. Shukla, S. Tiwari, Ajay Singh Raghvanshi, Ajay Singh
Power Lines Communication (PLC) deals with the transmission of data through the use of power lines. It is one emerging infrastructure for the home area network of Smart Grid (SG). There are two types of additive noise significantly affects the performance of PLC systems, namely background noise and impulsive noise. And the noise effects of both background noise and impulsive noise are taken from Bernoulli-Gaussian Process. The log-normal distribution has been used to model the PLC channel. As power lines are not designed for data communication. Because of signal attenuation and Electromagnetic Compatibility (EMC) regulations, the PLC link has low coverage and capacity To mitigate the EMC issue, the concept of Cognitive Radio (C.R.) is used in PLC. In this paper, receiver diversity scheme namely L-channel Selection Combining (SC) and Maximal Ratio Combining (MRC) is used for improving the Signal to Noise Ratio (SNR) to improve overall the reliability system. The system performance is evaluated in terms of Outage Probability for SC and MRC.
{"title":"Outage probability analysis of cognitive radio based PLC system","authors":"B. Shukla, S. Tiwari, Ajay Singh Raghvanshi, Ajay Singh","doi":"10.1109/ICCCNT.2017.8204008","DOIUrl":"https://doi.org/10.1109/ICCCNT.2017.8204008","url":null,"abstract":"Power Lines Communication (PLC) deals with the transmission of data through the use of power lines. It is one emerging infrastructure for the home area network of Smart Grid (SG). There are two types of additive noise significantly affects the performance of PLC systems, namely background noise and impulsive noise. And the noise effects of both background noise and impulsive noise are taken from Bernoulli-Gaussian Process. The log-normal distribution has been used to model the PLC channel. As power lines are not designed for data communication. Because of signal attenuation and Electromagnetic Compatibility (EMC) regulations, the PLC link has low coverage and capacity To mitigate the EMC issue, the concept of Cognitive Radio (C.R.) is used in PLC. In this paper, receiver diversity scheme namely L-channel Selection Combining (SC) and Maximal Ratio Combining (MRC) is used for improving the Signal to Noise Ratio (SNR) to improve overall the reliability system. The system performance is evaluated in terms of Outage Probability for SC and MRC.","PeriodicalId":6581,"journal":{"name":"2017 8th International Conference on Computing, Communication and Networking Technologies (ICCCNT)","volume":"16 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84023402","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 : 2017-07-01DOI: 10.1109/ICCCNT.2017.8204101
Manish Kumar, V. Deolia
This paper presents a low-power (LP) and low-voltage (LV) ultra-wideband (UWB) low-noise amplifier (LNA) using source degeneration topology. A biasing metric for LV and LP is designed in deep-submicrometer CMOS technologies. Using this biasing metric with source degeneration and current reused technique LNA is analyzed for a low voltage 0.65V, low power of 0.80-mW. Measurement results show 11.942 −dB voltage gain, 03–5.5 GHz bandwidth, − <2dB NF.
{"title":"A low power, low voltage UWB low-noise amplifier using source degeneration technique","authors":"Manish Kumar, V. Deolia","doi":"10.1109/ICCCNT.2017.8204101","DOIUrl":"https://doi.org/10.1109/ICCCNT.2017.8204101","url":null,"abstract":"This paper presents a low-power (LP) and low-voltage (LV) ultra-wideband (UWB) low-noise amplifier (LNA) using source degeneration topology. A biasing metric for LV and LP is designed in deep-submicrometer CMOS technologies. Using this biasing metric with source degeneration and current reused technique LNA is analyzed for a low voltage 0.65V, low power of 0.80-mW. Measurement results show 11.942 −dB voltage gain, 03–5.5 GHz bandwidth, − <2dB NF.","PeriodicalId":6581,"journal":{"name":"2017 8th International Conference on Computing, Communication and Networking Technologies (ICCCNT)","volume":"1 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84803637","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 : 2017-07-01DOI: 10.1109/ICCCNT.2017.8204177
Neha Singh, M. Pant
MIMO is an upcoming wireless technology in which more and more data can be transmitted with the use of different antennas at transmitter and receiver end, at a same time. With this technique, it becomes possible to linearly increase the channel capacity and improve the signal quality with maximum data transmission having less BER. In most recent years, MIMO brings a new page to the history of wireless communication system where the spectral bandwidth is a precious commodity with greater efficiency. This innovative idea is the key for recent high speed Wi-Fi and 4G mobile systems that has transformed the era of wireless communication system. While transmission through channel, signal get exploited due to dispersion effect leading Inter symbol Interference. Equalizers are kind of filters that eliminate this effect at the receiver end in the communication system. In this paper, we discussed linear and non-linear equalizers for Frequency-flat fading and frequency-selective fading in Rician channel system using QPSK signal.
{"title":"Channel equalization using linear and decision feedback eqaulizers","authors":"Neha Singh, M. Pant","doi":"10.1109/ICCCNT.2017.8204177","DOIUrl":"https://doi.org/10.1109/ICCCNT.2017.8204177","url":null,"abstract":"MIMO is an upcoming wireless technology in which more and more data can be transmitted with the use of different antennas at transmitter and receiver end, at a same time. With this technique, it becomes possible to linearly increase the channel capacity and improve the signal quality with maximum data transmission having less BER. In most recent years, MIMO brings a new page to the history of wireless communication system where the spectral bandwidth is a precious commodity with greater efficiency. This innovative idea is the key for recent high speed Wi-Fi and 4G mobile systems that has transformed the era of wireless communication system. While transmission through channel, signal get exploited due to dispersion effect leading Inter symbol Interference. Equalizers are kind of filters that eliminate this effect at the receiver end in the communication system. In this paper, we discussed linear and non-linear equalizers for Frequency-flat fading and frequency-selective fading in Rician channel system using QPSK signal.","PeriodicalId":6581,"journal":{"name":"2017 8th International Conference on Computing, Communication and Networking Technologies (ICCCNT)","volume":"11 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89657802","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}
Determination of liquid concentration is an important aspect which is crucial for many applications such as bio-medical, environment monitoring, food safety etc. For accurate and reliable measurements of concentration of solute, optical sensors offer distinct advantages over traditional sensors. This paper aims at in depth review of various optical methods for determining concentration of liquid solutions reported in literature. A detailed analysis of each method is undertaken and key issues are discussed. At last, a comparison among all the methods is presented with an eye to further improvement in the technology.
{"title":"Evolution of optical sensors for determining the concentration of liquid solutions and their temperature sensitivity","authors":"Ruhi Mahajan, Harpuneet Singh Gill, Mandeep Singh, Paramdeep Singh, M. Singh","doi":"10.1109/ICCCNT.2017.8203975","DOIUrl":"https://doi.org/10.1109/ICCCNT.2017.8203975","url":null,"abstract":"Determination of liquid concentration is an important aspect which is crucial for many applications such as bio-medical, environment monitoring, food safety etc. For accurate and reliable measurements of concentration of solute, optical sensors offer distinct advantages over traditional sensors. This paper aims at in depth review of various optical methods for determining concentration of liquid solutions reported in literature. A detailed analysis of each method is undertaken and key issues are discussed. At last, a comparison among all the methods is presented with an eye to further improvement in the technology.","PeriodicalId":6581,"journal":{"name":"2017 8th International Conference on Computing, Communication and Networking Technologies (ICCCNT)","volume":"37 1","pages":"1-7"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90556999","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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