Pub Date : 2018-05-01DOI: 10.1109/ICIRD.2018.8376321
R. Gandhi, Shubham Nimbalkar, Nandita Yelamanchili, Surabhi Ponkshe
Almost 40% of the world's crop yield is lost to diseases and pest infestations. According to a 2012 survey, Maharashtra has the highest rate of farmer suicides and one of the major reasons for this is the failure of crops. This paper presents an image-based classification system for identification of plant diseases. Since existing datasets have diluted focus across several countries and there are none that pertain to India specifically, there is a need for establishing a local dataset to be of use to Indian farmers. It uses Generative Adversarial Networks (GANs) to augment the limited number of local images available. The classification is done by a Convolutional Neural Network (CNN) model deployed in a smart phone app.
{"title":"Plant disease detection using CNNs and GANs as an augmentative approach","authors":"R. Gandhi, Shubham Nimbalkar, Nandita Yelamanchili, Surabhi Ponkshe","doi":"10.1109/ICIRD.2018.8376321","DOIUrl":"https://doi.org/10.1109/ICIRD.2018.8376321","url":null,"abstract":"Almost 40% of the world's crop yield is lost to diseases and pest infestations. According to a 2012 survey, Maharashtra has the highest rate of farmer suicides and one of the major reasons for this is the failure of crops. This paper presents an image-based classification system for identification of plant diseases. Since existing datasets have diluted focus across several countries and there are none that pertain to India specifically, there is a need for establishing a local dataset to be of use to Indian farmers. It uses Generative Adversarial Networks (GANs) to augment the limited number of local images available. The classification is done by a Convolutional Neural Network (CNN) model deployed in a smart phone app.","PeriodicalId":397098,"journal":{"name":"2018 IEEE International Conference on Innovative Research and Development (ICIRD)","volume":"472 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114015701","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 : 2018-05-01DOI: 10.1109/ICIRD.2018.8376310
S. Shoaib, T. Srinophakun, N. Pålsson
This paper presents an experimental investigation on influence of soil conditions on initial corrosion behavior of buried uncoated and coated steels at room temperature. Moisture contents and sodium chloride were varied in soil. The techniques used are electrochemical measurements i.e. open circuit potential, electrochemical impedance spectroscopy, and potentiodynamic polarization. The experimental results show that corrosion rate increases up to critical moisture content of 60 wt.% for each soil sample containing 0–10 wt.% sodium chloride. Maximum corrosion rate observed for carbon steel is 1.03 mm/yr for coupled action of 60 wt.% moisture and 5 wt.% sodium chloride. Corrosion rates of zinc-electroplated, and copper-electroplated samples are 0.45 and 0.057 mm/yr, respectively, under the same testing condition.
{"title":"Influence of soil conditions on corrosion behavior of buried coated and uncoated carbon steels","authors":"S. Shoaib, T. Srinophakun, N. Pålsson","doi":"10.1109/ICIRD.2018.8376310","DOIUrl":"https://doi.org/10.1109/ICIRD.2018.8376310","url":null,"abstract":"This paper presents an experimental investigation on influence of soil conditions on initial corrosion behavior of buried uncoated and coated steels at room temperature. Moisture contents and sodium chloride were varied in soil. The techniques used are electrochemical measurements i.e. open circuit potential, electrochemical impedance spectroscopy, and potentiodynamic polarization. The experimental results show that corrosion rate increases up to critical moisture content of 60 wt.% for each soil sample containing 0–10 wt.% sodium chloride. Maximum corrosion rate observed for carbon steel is 1.03 mm/yr for coupled action of 60 wt.% moisture and 5 wt.% sodium chloride. Corrosion rates of zinc-electroplated, and copper-electroplated samples are 0.45 and 0.057 mm/yr, respectively, under the same testing condition.","PeriodicalId":397098,"journal":{"name":"2018 IEEE International Conference on Innovative Research and Development (ICIRD)","volume":" 21","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131942798","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 : 2018-05-01DOI: 10.1109/ICIRD.2018.8376331
Marzia Khan, Asna Manzoor, Kinza Rohail, S. Ali, Asim Iftikhar, M. Alam
Over the past two decades, there has been an increase in the research being carried out on how to effectively manage education and educational institutions. It is because of this trend, that a lot of universities around in the world including in developing countries such as Pakistan have started MBA education management as well as Master of Education Management programs. Artificial intelligence (AI) and soft computing (SC) techniques are being applied in different facets of our lives for solving real-life problems. This paper reviews available literature and discusses applications of various soft computing techniques in education management and identifies future research opportunities in this area.
{"title":"Soft computing applications in education management — A review","authors":"Marzia Khan, Asna Manzoor, Kinza Rohail, S. Ali, Asim Iftikhar, M. Alam","doi":"10.1109/ICIRD.2018.8376331","DOIUrl":"https://doi.org/10.1109/ICIRD.2018.8376331","url":null,"abstract":"Over the past two decades, there has been an increase in the research being carried out on how to effectively manage education and educational institutions. It is because of this trend, that a lot of universities around in the world including in developing countries such as Pakistan have started MBA education management as well as Master of Education Management programs. Artificial intelligence (AI) and soft computing (SC) techniques are being applied in different facets of our lives for solving real-life problems. This paper reviews available literature and discusses applications of various soft computing techniques in education management and identifies future research opportunities in this area.","PeriodicalId":397098,"journal":{"name":"2018 IEEE International Conference on Innovative Research and Development (ICIRD)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130739241","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 : 2018-05-01DOI: 10.1109/ICIRD.2018.8376315
Lich T. Nghiem, Thuy Ha Thi Thu, Toan T. Nghiem
Fraud in financial areas is broadly going to cause significant consequences, in recently. As a result, financial fraud detection is interested in many researchers. The imbalanced dataset in classification might influence to the prediction results as its bias. In this paper, an improvement algorithm, so-called as MASI, is proposed for financial fraud detection in imbalanced data classification. The experiment is performed on UCI machine learning repository data domain. Our results show the better in sensitivity, specificity, and G-mean values compared to other control methods such as Random Over-sampling, Random Under-sampling, SMOTE and Borderline SMOTE in using classification algorithms (SVM, C50 and RF).
{"title":"MASI: Moving to adaptive samples in imbalanced credit card dataset for classification","authors":"Lich T. Nghiem, Thuy Ha Thi Thu, Toan T. Nghiem","doi":"10.1109/ICIRD.2018.8376315","DOIUrl":"https://doi.org/10.1109/ICIRD.2018.8376315","url":null,"abstract":"Fraud in financial areas is broadly going to cause significant consequences, in recently. As a result, financial fraud detection is interested in many researchers. The imbalanced dataset in classification might influence to the prediction results as its bias. In this paper, an improvement algorithm, so-called as MASI, is proposed for financial fraud detection in imbalanced data classification. The experiment is performed on UCI machine learning repository data domain. Our results show the better in sensitivity, specificity, and G-mean values compared to other control methods such as Random Over-sampling, Random Under-sampling, SMOTE and Borderline SMOTE in using classification algorithms (SVM, C50 and RF).","PeriodicalId":397098,"journal":{"name":"2018 IEEE International Conference on Innovative Research and Development (ICIRD)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133312467","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 : 2018-05-01DOI: 10.1109/ICIRD.2018.8376305
I. W. Suweca, J. Yahya
A local company in Bandung, PT TREKKA, is currently developing a new public transportation system named Kapsul System. The ultimate goal of the development is to obtain a competitive public transportation system in terms of the cost of construction and operation. Kereta Kapsul is one of the product being developed. Preliminary analysis needs to be done to verify the initial design of the Kereta Kapsul. This paper presents the stress analysis and design optimization of Kereta Kapsul's upper structure consisting of a base frame and a body frame. The analysis was conducted numerically using finite element method. The analysis began with geometry and finite element modeling and was followed by the application of loads and boundary conditions in accordance with the standards used. The meshing process was carried out with first-order quadrilateral elements of 10 mm in size for the base frame structure and of 15 mm in size for the body frame. Convergent and valid finite element models were then used as models in further stress analysis. Initial design of base frame failed under compression loading as required by the standards. Design optimization has been done for five iterations and resulted in the last model with a mass of about 1100 kg with minimum safety factor of 2.7 in the worst case loading and of 2.3 on compression loading.
{"title":"On the optimization of Kereta Kapsul's base frame structure","authors":"I. W. Suweca, J. Yahya","doi":"10.1109/ICIRD.2018.8376305","DOIUrl":"https://doi.org/10.1109/ICIRD.2018.8376305","url":null,"abstract":"A local company in Bandung, PT TREKKA, is currently developing a new public transportation system named Kapsul System. The ultimate goal of the development is to obtain a competitive public transportation system in terms of the cost of construction and operation. Kereta Kapsul is one of the product being developed. Preliminary analysis needs to be done to verify the initial design of the Kereta Kapsul. This paper presents the stress analysis and design optimization of Kereta Kapsul's upper structure consisting of a base frame and a body frame. The analysis was conducted numerically using finite element method. The analysis began with geometry and finite element modeling and was followed by the application of loads and boundary conditions in accordance with the standards used. The meshing process was carried out with first-order quadrilateral elements of 10 mm in size for the base frame structure and of 15 mm in size for the body frame. Convergent and valid finite element models were then used as models in further stress analysis. Initial design of base frame failed under compression loading as required by the standards. Design optimization has been done for five iterations and resulted in the last model with a mass of about 1100 kg with minimum safety factor of 2.7 in the worst case loading and of 2.3 on compression loading.","PeriodicalId":397098,"journal":{"name":"2018 IEEE International Conference on Innovative Research and Development (ICIRD)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120914135","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}
The increasing rate of wireless devices pressurizes the researchers to think about an opportunistic bandwidth utilization of the licensed bands. As a result, the concept Cognitive Radio Network (CRN) having Primary user (PU) and Secondary user (SU) has been evolved. However, the challenges of CRN basically includes successful channel rendezvous. As of now, most of the protocol either used common control channel or synchronization approach, where bottleneck and unavailability of control channel might occur due to presence of PU. Furthermore, once channel rendezvous is successful traffic adaptive channel utilization in medium access design is missing in existing works. Therefore, motivating with the mentioned limitation, we have proposed a Traffic Adaptive Channel Utilization based Medium Access Control (TACU-MAC) for CRN. The protocol targets to make successful and fast channel rendezvous as well as ensure channel utilization rate in data transmission. Extensive analysis and simulation have demonstrated that traffic adaptability of the proposed work has ensured better rendezvous success rate, lower rendezvous delay, higher throughput and transmission success rate.
{"title":"Traffic adaptive channel utilization based medium access control protocol for cognitive radio network","authors":"Sumaya Kazary, Md. Tareq Mahmud, Md. Obaidur Rahman","doi":"10.1109/ICIRD.2018.8376333","DOIUrl":"https://doi.org/10.1109/ICIRD.2018.8376333","url":null,"abstract":"The increasing rate of wireless devices pressurizes the researchers to think about an opportunistic bandwidth utilization of the licensed bands. As a result, the concept Cognitive Radio Network (CRN) having Primary user (PU) and Secondary user (SU) has been evolved. However, the challenges of CRN basically includes successful channel rendezvous. As of now, most of the protocol either used common control channel or synchronization approach, where bottleneck and unavailability of control channel might occur due to presence of PU. Furthermore, once channel rendezvous is successful traffic adaptive channel utilization in medium access design is missing in existing works. Therefore, motivating with the mentioned limitation, we have proposed a Traffic Adaptive Channel Utilization based Medium Access Control (TACU-MAC) for CRN. The protocol targets to make successful and fast channel rendezvous as well as ensure channel utilization rate in data transmission. Extensive analysis and simulation have demonstrated that traffic adaptability of the proposed work has ensured better rendezvous success rate, lower rendezvous delay, higher throughput and transmission success rate.","PeriodicalId":397098,"journal":{"name":"2018 IEEE International Conference on Innovative Research and Development (ICIRD)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114434870","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 : 2018-05-01DOI: 10.1109/ICIRD.2018.8376306
Worakit Puangsup, S. Watechagit
This research is trying to identify the inertia and aerodynamic constant of, as well as the road slope affecting a vehicle for better vehicle modeling and controller design purposes. Since these parameters are time varying, an online identification method is needed. Recursive Least Square (RLS) has been widely used for parameter estimation in engineering applications. Typically, RLS uses the current state and new information to predict the next state. The RLS with multi-forgetting scheme, which can identify the time varying parameters, is adopted here. This paper presents the stability analysis of this chosen identification scheme as it is applied to the application of interest. The eigenvalue of RLS with multi-forgetting scheme is firstly defined. Its relationship with the forgetting factor is then derived using the final value theorem. It is found that the stability, as well as the rate of convergent for parameters identification depend directly on the value of the forgetting factor. Results from the real time implementation confirm the proposal and the identification performance is as desired.
{"title":"Stability analysis of vehicle parameter estimation using Recursive least square with multi forgetting scheme","authors":"Worakit Puangsup, S. Watechagit","doi":"10.1109/ICIRD.2018.8376306","DOIUrl":"https://doi.org/10.1109/ICIRD.2018.8376306","url":null,"abstract":"This research is trying to identify the inertia and aerodynamic constant of, as well as the road slope affecting a vehicle for better vehicle modeling and controller design purposes. Since these parameters are time varying, an online identification method is needed. Recursive Least Square (RLS) has been widely used for parameter estimation in engineering applications. Typically, RLS uses the current state and new information to predict the next state. The RLS with multi-forgetting scheme, which can identify the time varying parameters, is adopted here. This paper presents the stability analysis of this chosen identification scheme as it is applied to the application of interest. The eigenvalue of RLS with multi-forgetting scheme is firstly defined. Its relationship with the forgetting factor is then derived using the final value theorem. It is found that the stability, as well as the rate of convergent for parameters identification depend directly on the value of the forgetting factor. Results from the real time implementation confirm the proposal and the identification performance is as desired.","PeriodicalId":397098,"journal":{"name":"2018 IEEE International Conference on Innovative Research and Development (ICIRD)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129969447","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 : 2018-05-01DOI: 10.1109/ICIRD.2018.8376328
O. Joochim, Chanchai Charoendachanukror
Many organizations aim to improve their performance in customer satisfaction with a product due to competition between organizations in an industry. Bangkok Cable Co., Ltd. also wants to gain a competitive advantage. In this research, the conversion of qualitative techniques (Quality Function Deployment) is used to develop and improve power strips, which are the products of Bangkok Cable. The power strips are developed according to customer requirement by using the matrices of QFD technique: (1) Product Planning and (2) Design Deployment. The developed and improved prototypes are evaluated by a group of product customers. The results of this study reveal that the average satisfactory values of all new prototypes compared with the old products are respectively increased from 3.31 to 3.61 and 3.72 points or increased about 9.31% and 12.43%, and the percentage of satisfaction compared with competitors are increased from −7.17% to 1.47% and 4.38%, respectively.
{"title":"Application of quality function deployment in product improvement of power strips","authors":"O. Joochim, Chanchai Charoendachanukror","doi":"10.1109/ICIRD.2018.8376328","DOIUrl":"https://doi.org/10.1109/ICIRD.2018.8376328","url":null,"abstract":"Many organizations aim to improve their performance in customer satisfaction with a product due to competition between organizations in an industry. Bangkok Cable Co., Ltd. also wants to gain a competitive advantage. In this research, the conversion of qualitative techniques (Quality Function Deployment) is used to develop and improve power strips, which are the products of Bangkok Cable. The power strips are developed according to customer requirement by using the matrices of QFD technique: (1) Product Planning and (2) Design Deployment. The developed and improved prototypes are evaluated by a group of product customers. The results of this study reveal that the average satisfactory values of all new prototypes compared with the old products are respectively increased from 3.31 to 3.61 and 3.72 points or increased about 9.31% and 12.43%, and the percentage of satisfaction compared with competitors are increased from −7.17% to 1.47% and 4.38%, respectively.","PeriodicalId":397098,"journal":{"name":"2018 IEEE International Conference on Innovative Research and Development (ICIRD)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132079941","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 : 2018-05-01DOI: 10.1109/ICIRD.2018.8376330
Asim Iftikhar, S. Musa, M. Alam, M. M. Su’ud, S. Ali
Global software development is an example of the modern age. Team members split geographically, working in different time zones, communicate simultaneously and exchange information regardless of physical boundaries and time difference. Different organizations are distributing their software development processes on national and continental lines. Team members work across space, time and organizational boundaries with links strengthened by webs of communication technologies. In order to obtain robust solutions at reasonable costs in different software development processes like software reliability, quality, maintenance, effort and different project management activities, different researchers used soft computing techniques. In this paper several existing research articles are reviewed that deal with the applications of soft computing in software development areas and provides future research directions.
{"title":"A survey of soft computing applications in global software development","authors":"Asim Iftikhar, S. Musa, M. Alam, M. M. Su’ud, S. Ali","doi":"10.1109/ICIRD.2018.8376330","DOIUrl":"https://doi.org/10.1109/ICIRD.2018.8376330","url":null,"abstract":"Global software development is an example of the modern age. Team members split geographically, working in different time zones, communicate simultaneously and exchange information regardless of physical boundaries and time difference. Different organizations are distributing their software development processes on national and continental lines. Team members work across space, time and organizational boundaries with links strengthened by webs of communication technologies. In order to obtain robust solutions at reasonable costs in different software development processes like software reliability, quality, maintenance, effort and different project management activities, different researchers used soft computing techniques. In this paper several existing research articles are reviewed that deal with the applications of soft computing in software development areas and provides future research directions.","PeriodicalId":397098,"journal":{"name":"2018 IEEE International Conference on Innovative Research and Development (ICIRD)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116710499","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 : 2018-05-01DOI: 10.1109/ICIRD.2018.8376324
S. N. Shaikh, Nida Naeem Shaikh, Sana Hoor Jokhio, I. A. Jokhio
An Underwater Wireless Sensor Network has different characteristics as compared to those of a terrestrial one. These networks are vulnerable to a number of issues such as mobility of deployed nodes, communication delays due to unique deployment environment, limited bandwidth, etc. In this paper a novel lightweight and robust data collection strategy in underwater wireless sensor networks using a mobile sink to boost the performance and overall lifetime of the UWSNs has been presented. The proposed technique has been simulated using AquaSim to analyse the performance with respect to energy consumption, network throughput and packet delivery ratio while highlighting the vulnerabilities and challenges involving data aggregation in a UWSN.
{"title":"Lightweight and robust data collection in a UWSN using a mobile sink","authors":"S. N. Shaikh, Nida Naeem Shaikh, Sana Hoor Jokhio, I. A. Jokhio","doi":"10.1109/ICIRD.2018.8376324","DOIUrl":"https://doi.org/10.1109/ICIRD.2018.8376324","url":null,"abstract":"An Underwater Wireless Sensor Network has different characteristics as compared to those of a terrestrial one. These networks are vulnerable to a number of issues such as mobility of deployed nodes, communication delays due to unique deployment environment, limited bandwidth, etc. In this paper a novel lightweight and robust data collection strategy in underwater wireless sensor networks using a mobile sink to boost the performance and overall lifetime of the UWSNs has been presented. The proposed technique has been simulated using AquaSim to analyse the performance with respect to energy consumption, network throughput and packet delivery ratio while highlighting the vulnerabilities and challenges involving data aggregation in a UWSN.","PeriodicalId":397098,"journal":{"name":"2018 IEEE International Conference on Innovative Research and Development (ICIRD)","volume":"24 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116783828","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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