Anas Tahir, J. Abinahed, N. Navkar, K. K. Sadasivuni, A. Al-Ansari, J. Cabibihan
{"title":"Experimental characterization of a tactile sensor for surgical applications","authors":"Anas Tahir, J. Abinahed, N. Navkar, K. K. Sadasivuni, A. Al-Ansari, J. Cabibihan","doi":"10.1109/ICIRD.2018.8376322","DOIUrl":"https://doi.org/10.1109/ICIRD.2018.8376322","url":null,"abstract":"This paper presents an improved piezoelectric sensor fabricated using reduced graphene oxide (rGO)-filled polydimethylsiloxane (PDMS) elastomer composite that is able to sense the linear force applied onto its surface. The ultimate aim is to develop a haptic feedback interface for assisting surgeons in minimally invasive robotic surgery. A major challenge in robotic surgery systems is the lack of tactile feedback. Clinicians typically receive the visual information only about their surgical scene via the cameras. However, haptic feedback can improve the feedback information for clinicians and ultimately the surgical outcomes by aiding surgeons to differentiate between different tissue types as well as tactile feedback gives them the real feel of surgery (i.e. as performed with traditional open surgery). The results presented in this paper demonstrate that the sensor developed from graphene-filled PDMS can give robust and accurate force feedback that can be utilized as haptic feedback in further study. This paper illustrates two methods for characterizing the fabricated sensor in order to obtain force profile for a force range of 0.5 N–20 N. The main feature of the fabricated sensor is that it can be manufactured into any shape and size. It also gives compatibility for implementing the sensor externally over a robotic surgery solutions.","PeriodicalId":397098,"journal":{"name":"2018 IEEE International Conference on Innovative Research and Development (ICIRD)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131975273","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":"Using support vector machine in FoRex predicting","authors":"Thuy Ha Thi Thu, Vuong Dang Xuan","doi":"10.1109/ICIRD.2018.8376303","DOIUrl":"https://doi.org/10.1109/ICIRD.2018.8376303","url":null,"abstract":"The trend of currency rates can be predicted with supporting from supervised machine learning in the transaction systems such as support vector machine. Not only representing models in use of machine learning techniques in learning, the support vector machine (SVM) model also is implemented with actual FoRex transactions. This might help automatically to make the transaction decisions of Bid/Ask in Foreign Exchange Market by using Expert Advisor (Robotics). The experimental results show the advantages of use SVM compared to the transactions without use SVM ones.","PeriodicalId":397098,"journal":{"name":"2018 IEEE International Conference on Innovative Research and Development (ICIRD)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131960653","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}
Panca Dewi Pamungkasari, Ilmiawan Shubhi, F. Juwono, Prita Dewi Mariyam, D. Gunawan
{"title":"Time domain cyclic selective mapping for PAPR reduction in MIMO-OFDM systems","authors":"Panca Dewi Pamungkasari, Ilmiawan Shubhi, F. Juwono, Prita Dewi Mariyam, D. Gunawan","doi":"10.1109/ICIRD.2018.8376302","DOIUrl":"https://doi.org/10.1109/ICIRD.2018.8376302","url":null,"abstract":"Peak-to-average power ratio (PAPR) is one of the main impairments in multiple-input multiple-output (MIMO) orthogonal frequency-division multiplexing (OFDM) systems. Large PAPR causes inefficiency in the power amplifier (PA) so that the energy consumption of the devices increases. Selective mapping (SLM) has been commonly used as the favorable PAPR reduction technique. Conventional SLM technique has relatively high complexity due to the use of some inverse discrete Fourier transform (IDFT) operations. In addition, it requires to transmit side information (SI) to the receiver. In this paper, we examine the performance of the low complexity time domain cyclic SLM (TD-C-SLM) in MIMO-OFDM systems. TD-C-SLM generates the signal candidates by summing the original OFDM signal and its cyclically shifted version. The signal candidate with the lowest PAPR will be transmitted. This technique requires no SI transmission. Simulation results show that up to 2 dB PAPR reduction can be achieved without increasing the out-of-band (OOB) spectrum by using the TD-C-SLM.","PeriodicalId":397098,"journal":{"name":"2018 IEEE International Conference on Innovative Research and Development (ICIRD)","volume":"393 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127593036","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 analysis of OSTBC with hybrid decode-amplify and forward for cooperative communications","authors":"C. Kotchasarn","doi":"10.1109/ICIRD.2018.8376312","DOIUrl":"https://doi.org/10.1109/ICIRD.2018.8376312","url":null,"abstract":"The innovation of Wireless communication has been developed very fast in order to improve the performance of communication systems. Especially, a concept of Multiple Input Multiple Output (MIMO) is purposed to fulfill a high data rate service such as high quality video conference. However, a limitation in size and power of mobile device in the latest version of cellular system i.e. third Generation (3G) and fourth Generation (4G) causes difficulty to implement MIMO on mobile unit. Hence, Cooperative communication has been created to operate as a virtual MIMO in modern wireless communication. The objective of this paper, the performance analysis of Hybrid Decode-Amplify and Forward (HDAF) Cooperative communication using Orthogonal Space-Time Block Code (OSTBC) is derived in term of Symbol Error Rate (SER) against Signal-to-Noise Ratio (SNR) when the system applies different type of modulation techniques. Additionally, the error performance is derived base on Moment Generating Function (MGF) of the Rayleigh fading channel. We only focus on the downlink direction. Assuming that multiple antennas can be equipped into a transmitter which operates as base station in cellular system, mobile unit can be equipped with only single antenna due to the size limitation which operates as relays and destination. Moreover, the receiver uses Maximum Ratio Combining (MRC) to receive the transmitted signal.","PeriodicalId":397098,"journal":{"name":"2018 IEEE International Conference on Innovative Research and Development (ICIRD)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129580533","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}
M. Rohmah, D. M. Fellicia, S. Pintowantoro, Johny Wahyuaji
{"title":"Optimization of microwave heating parameter for TiO2 extraction process from iron sand Indonesia","authors":"M. Rohmah, D. M. Fellicia, S. Pintowantoro, Johny Wahyuaji","doi":"10.1109/ICIRD.2018.8376337","DOIUrl":"https://doi.org/10.1109/ICIRD.2018.8376337","url":null,"abstract":"Microwave heating is environment-friendly technology which is able to reduce titanomagnetite into TiO2 or titanium metal caused by CO2 gas does not vacate the furnace. Titanomagnetite is one of the phases contained in Iron Ore with small amount of titanium (less than 10% Ti). This study aims to get a value of optimal parameter on microwave heating for TiO2 extraction with different power levels and reductor composition. The method used consists of a magnetic separation, oxidation, reduction process using Microwave Batch Furnace reactor, and hydrochloric acid leaching. Titanomagnetite that oxidized at 1100°C temperature for 4 hours in muffle furnace have phase changed into hemoilmenite (pseudorutile + hematite) with power level is 650 Watt. As the antenna helix added on to design of Microwave Batch Furnace, gain from the heat irradiation become higher to ∼34.7 dB. The power level used is 650 watt on variety graphite : iron ore composition are 3.05: 0.6, 3.05 : 1, and 3. 05: 1.4, thus the best reduction product is processed further by leaching in 20% chlorid acid with 1:6 (S/L ratio). X-Ray Diffraction and X-Ray Fluorense test is used to determine the effect of oxidation, reduction, and leaching process on Iron Ore. Results show that graphite has effect to TiO2 separation from titanomagnetite phase. As the addition of graphite increases, yield process that represented by recovery TiO2 becomes higher to 4.6% Ti. Microwave adsorption confirmed by using Vector Network Analyse. The amount of microwaves adsorption that represented from S-parameter has increased with the addition of graphite to level 3.05:1. The optimal parameter is resulted in 3.05:1 composition ratio and used 4000 watt power.","PeriodicalId":397098,"journal":{"name":"2018 IEEE International Conference on Innovative Research and Development (ICIRD)","volume":"13 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":"114994324","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}
Edwin R. Arboleda, Arnel C. Fajardo, Ruji P. Medina
{"title":"Classification of coffee bean species using image processing, artificial neural network and K nearest neighbors","authors":"Edwin R. Arboleda, Arnel C. Fajardo, Ruji P. Medina","doi":"10.1109/ICIRD.2018.8376326","DOIUrl":"https://doi.org/10.1109/ICIRD.2018.8376326","url":null,"abstract":"The quality of coffee beans differs from each other based on the geographic locations of its sources. The coffee bean quality is conventionally determined by visual inspection, which is subjective, requiring considerable effort and time and prone to error. This calls for the development of an alternative method that is precise, non-destructive and objective. This paper was conducted with the objective of developing an appropriate computer routine that can characterize coffee beans from the different towns of Cavite, Philippines. Imaging techniques were employed to automatically classify the coffee bean samples according to their specie. Important coffee bean features based in morphology such as area of the bean, perimeter, equivalent diameter, and percentage of roundness were extracted from 195 training images and 60 testing images. Artificial neural network (ANN) and K nearest neighbor (KNN) were employed to automatically categorize the coffee beans. Using ANN, classification scores of 96.66% were achieved while using KNN the following classification scores were achieved 84.12%(k=1), 84.10%(k=2), 81.53%(k=3), 82.56%(k=4), 75.38%(k=5),80.35% (k=6), 38.79%(k=7), 77.44%(k=8), 72.82%(k=9) and 78.45% (k=10). In conclusion, the results of this study have revealed that imaging technique could be used as an effective method to classify coffee bean species. ANN is the more preferred method over KNN in classifying coffee beans.","PeriodicalId":397098,"journal":{"name":"2018 IEEE International Conference on Innovative Research and Development (ICIRD)","volume":"43 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":"128726893","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}
Ronan Kenny, Enda Fallon, Sheila Fallon, F. Mannion
{"title":"STATS — Software component trend analysis over time series","authors":"Ronan Kenny, Enda Fallon, Sheila Fallon, F. Mannion","doi":"10.1109/ICIRD.2018.8376317","DOIUrl":"https://doi.org/10.1109/ICIRD.2018.8376317","url":null,"abstract":"Through initiatives such as open sourcing, software development organizations have embraced component reuse. Inner sourcing, in which organizations reuse internally created components, is gaining interest. Large companies such as Philips, PayPal and Ericsson have embraced inner source initiatives. Software components reuse can significantly reduce software development and testing time. A challenge when reusing components is to gauge their quality and projected reliability over time. Minor component changes can create unforeseen complexities. This work proposes STATS — Software Component Trend Analysis Over Time Series, a self-directed artificial neural network which uses historic performances to predict the performance of inner source components over time. Using time series-based learning instances, STATS can aid in the prediction of component trouble reports based on historic knowledge. This is accomplished through the history of components trouble reports over varying time series. Using STATS, system architects and developers predict the reliability of candidate open source and inner source software components in the medium and long term.","PeriodicalId":397098,"journal":{"name":"2018 IEEE International Conference on Innovative Research and Development (ICIRD)","volume":"64 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114104178","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":"Relevant factors and classification of student alcohol consumption","authors":"Auth Pisutaporn, Burit Chonvirachkul, D. Sutivong","doi":"10.1109/ICIRD.2018.8376297","DOIUrl":"https://doi.org/10.1109/ICIRD.2018.8376297","url":null,"abstract":"Educational data mining is the process of applying data mining tools and techniques to analyze data for educational purpose. This paper carries out educational data mining to study the student alcohol consumption through a public dataset which includes student attributes and their grades. The decision tree algorithm and the random forest algorithm are applied to perform classification and to analyze the variable importance. The regression model is then employed to illustrate the relationship between alcohol consumption level and the students' final grades. Our analysis provides knowledge on the relationship between student characteristics and alcohol consumption. The study also compares performance of the decision tree algorithm and the random forest algorithm.","PeriodicalId":397098,"journal":{"name":"2018 IEEE International Conference on Innovative Research and Development (ICIRD)","volume":"1 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":"116173170","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}
H. Suryoatmojo, I. Dilianto, Suwito, R. Mardiyanto, E. Setijadi, D. Riawan
{"title":"Design and analysis of high gain modified SEPIC converter for photovoltaic applications","authors":"H. Suryoatmojo, I. Dilianto, Suwito, R. Mardiyanto, E. Setijadi, D. Riawan","doi":"10.1109/ICIRD.2018.8376319","DOIUrl":"https://doi.org/10.1109/ICIRD.2018.8376319","url":null,"abstract":"In designing photovoltaic systems connected to the grid system usually DC-DC converter is required to increase the output voltage of the photovoltaic. The most commonly design of DC-DC converters are typically used a converters with high gain static in order to increase the output voltage of the photovoltaic and obtain a high conversion efficiency. One type of converter used is a SEPIC converter topology. However, the conventional DC-DC converter topologies such as SEPIC converters can only increase by 5 times of the input voltage when the Duty Cycle is set to 0.82. Meanwhile, to meet the dc input voltage of the inverter, the input voltage of the converters have to increase above than 10 times. Therefore, to overcome these problems, this paper proposes the design of DC-DC modified SEPIC converter topologies for photovoltaic applications. Modifications to the conventional SEPIC converter is done by adding capacitors and diodes. From the experimental results shows that this converter can increase the output voltage about 10 times and has the efficiency about 91.5%. Furthermore, topology of the this converter can be effectively applied for photovoltaic system.","PeriodicalId":397098,"journal":{"name":"2018 IEEE International Conference on Innovative Research and Development (ICIRD)","volume":"76 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":"128142038","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":"Health solutions in developing countries: Case of Kuwait","authors":"Sumayya Banna, Andri Ottesen","doi":"10.1109/ICIRD.2018.8376316","DOIUrl":"https://doi.org/10.1109/ICIRD.2018.8376316","url":null,"abstract":"e-Health solutions have brought many opportunities to developing countries including Kuwait. E-Health solutions have proven quality of health care delivery and services in the industrialized countries. This paper describes a pilot study to present the unbiased empirical evaluation of stakeholder's towards e-health delivery solutions and services in Kuwait. In an effort to catch up with the growth, the developing countries have strived to revolutionize the health care industry by the uses of innovative solutions including mobile computing to educate stakeholders to remain healthy and receive a customized health service. The issues examined include the application of TAM model and Q method frameworks to better understand both negative and positive views of stakeholders' adoption factors. The present research indicated that the perceived security risk was the least obstacle. Accordingly usefulness and ease of use domains are the most apparent significant elements for the escalating embracing of mobile health application in Kuwait. Consequently, the data analysis produced two factors labeled as \"technology readiness\" competent and \"risk insensitive\" stakeholders.","PeriodicalId":397098,"journal":{"name":"2018 IEEE International Conference on Innovative Research and Development (ICIRD)","volume":"46 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":"126397391","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}