Proceeding of the Electrical Engineering Computer Science and Informatics
Not a member yet
649 research outputs found
Sort by
Improvement of Electronic Governance and Mobile Governance in Multilingual Countries with Digital Etymology using Sanskrit Grammar
Get PDFWith huge improvement of digital connectivity (Wifi,3G,4G) and digital devices access to internet has reached in the remotest corners now a days. Rural people can easily access web or apps from PDAs, laptops, smartphones etc. This is an opportunity of the Government to reach to the citizen in large number, get their feedback, associate them in policy decision with e governance without deploying huge man, material or resourses.But the Government of multilingual countries face a lot of problem in successful implementation of Government to Citizen (G2C) and Citizen to Government (C2G) governance as the rural people tend and prefer to interact in their native languages. Presenting equal experience over web or app to different language group of speakers is a real challenge. In this research we have sorted out the problems faced by Indo Aryan speaking netizens which is in general also applicable to any language family groups or subgroups.Then we have tried to give probable solutions using Etymology.Etymology is used to correlate the words using their ROOT forms.In 5th century BC Panini wrote Astadhyayi where he depicted sutras or rules- how a word is changed according to person,tense,gender,number etc.Later this book was followed in Western countries also to derive their grammar of comparatively new languages.We have trained our system for automatic root extraction from the surface level or morphed form of words using Panian Gramatical rules.We have tested our system over 10000 bengali Verbs and extracted the root form with 98% accuracy.We are now working to extend the program to successfully lemmatize any words of any language and correlate them by applying those rule sets in Artificial Neural Network
Performance Rate for Implementation of Mobile Learning in Network
Get PDFThis paper discusses the availability of mobile networks and develops mobile learning software. The measurement Approach is testing from the user experience side to some point where potential users are located. Data clustering is divided into six location of measurement points, with different time sessions; morning, daylight, afternoon, and evening. In each time session, the measurement process is done as much as 10 times test for each the card service packs from Internet Service Providers (ISPs). The measurement process is carried out continuously for 21 days (three weeks), this is done to ensure the availability of mobile networks in the location. The results of measurement and application testing, have given conclusion and contribution, that in of the research explains that although performance levels such as download and upload speed, latency, jitter and packet loss metrics are appropriate, not necessarily the level of network availability is appropriate. Because each parameter is influenced by a certain factor. The average value of network availability measurement experienced an internet connection failure rate on one of ISP 84.046% or as many as 10 to 11 times failed to connect from 70 attempts for internet connection
Wireless Sensor System for Prediction of Carbon Monoxide Concentration using Fuzzy Time Series
Get PDFCarbon monoxide (CO) concentration produced from incomplete material burning affects both work health and safety. A smart system capable of early detection of carbon monoxide (CO) concentration is therefore required. This research develops a carbon monoxide sensor detection capability using a wireless sensor system that transmits data to the web server via internet connection. A semiconductor CO sensor is installed in a remote terminal unit. A computer application is developed for data acquisition and sending via online and in real time to a web server using an internet modem. For a web-based prediction of CO concentration, a Fuzzy Time Series algorithm induced by Pritpal Sing matrix is used. This research uses CO concentration data for two months. The resulting carbon monoxide concentration prediction is displayed in real time on a dashboard. This prediction is for the next day’s forecast. Results show that the Fuzzy Time Series that is induced by Pritpal Sing matrix has an average error of 2.67 %, calculated with its average forecasting error rate (AFER). This error value varies, depending on the number of data and data characteristics
Classifiers Evaluation: Comparison of Performance Classifiers Based on Tuples Amount
Get PDFThe aim of this study is to compare some classifiers’ performance related to the tuples amount. The different metrics of performance has been considered, such as: Accuracy, Mean Absolute Error (MAE), and Kappa Statistic. In this research, the different numbers of tuples are considered as well. The readmission process dataset of Diabetic patients, which has been experimented, consists of 47 features and 49.736 tuples. The methodology of this research starts from preprocessing phase. After that, the clean dataset is divided into 5 subsets which represent every multiple of 10.000 tuples randomly. Each particular subset will be validated by three traditional classifiers i.e. Naive Bayes, K-Nearest Neighbor (k-NN), and Decision Tree. We also implement some setting parameters of each classifier except Naïve Bayes. Validation method used in this research is 10-Fold Cross-Validation. As the final conclusion, we compare the performance of classifiers based on the number of tuples. Our study indicates that the more the number of tuples, the lower and weaker the MAE and Accuracy performances whereas the kappa statistic performance tend to be fluctuated. Our study also found that Naïve Bayes outperforms k-NN and Decision Tree in overall. The top classifiers performances were reached in a 20.000-tuple evaluation.The aim of this study is to compare some classifiers’ performance related to the tuples amount. The different metrics of performance has been considered, such as: Accuracy, Mean Absolute Error (MAE), and Kappa Statistic. In this research, the different numbers of tuples are considered as well. The
Sosio-Technical Factors of E-Government Implementation
Get PDFThe failure of e-Government in a number of sector units happened because the implementation of e-Government is not easy. The old paradigm assume that e-Government is simply by installing a computer makes the implementation of e-Government failure. In fact, the success of e-Government is influenced by various factors called Critical Success Factors (CSFs). This study aims to map CSFs that influenced implementation of e-Government into two term of both technology and non-technology factors. The results showed a 67 CSFs of e-Government implementation identified was successfully mapped into seven dimensions ITPOSMO (Information, Technology, Process, Objective, Staffing & Skill, Management and Other Resource)
Performance Analysis for MIMO LTE on the High Altitude Platform Station
Get PDFHigh Altitude Platform Station (HAPs) is a new communications infrastructure that uses air balloon to carry high data rate service and wide bandwidth. One technique to make it happen is Long Term Evolution (LTE), LTE support capacity increasing, expand coverage area, data rate increasing, multi- antenna, and can be integrated with other systems. To improve the performance of LTE in capacity building, coverage area, and data rate, it can use the multi-antenna techniques both on receiver or transmitter or often called multiple input multiple outputs (MIMO). Type of MIMO technique in this paper is spatial Multiplexing. In this study, an estimation that has been used is the Linear Minimum Mean Square Error (LMMSE). Channel estimation is used to find out information about the channel condition between the transmitter and the receiver so that the performance of Bit Error Rate (BER) increase and expand the coverage area of the same BER compared without estimation. The system performed channel estimation has a better performance than the without estimation system with improved SNR of 20dB. Based on the simulation to get the same BER value in the system with channel estimation and without estimation, on the system with estimation it is necessary to lower elevation angle to be 10° and still there was improvement of SNR of 3 dB compared to the system without any estimation. With lowered elevation angle from 90° to 10°, the area of coverage was greater becomes 215.77km from the original 0.032k
Optimization of Salient Object Segmentation by using the influence of color in Digital Image
Get PDFHuman attention is more likely to be interested indifferent objects or striking in image processing called salientobject. Existing approaches worked well in finding the salientobject in this image, but they have not been able to accuratelydetect where objects should stand out due to the influence of lightintensity, there are various object results of salient object detectionin which area is still cut off or do not appear because they do notinclude salient area. We offer solutions to fix these problems byoptimizing salient object detection prioritizing object area aftersalient area, through checking comparison of the color regionlocated around the area of the salient. This Optimization of theapplication is able to improve to 83% from 100 salient object whichhas this problem, and able to produce more natural Saliency Cut
The Influence of Stemming on Indonesian Tweet Sentiment Analysis
Get PDFStemming has commonly used in some researchabout text mining, information retrieval, and natural languageprocessing. However, there is an indication that stemming does notdeliver significant influence toward accuracy in text classification.Hence, this research attempts to investigate the influence of thestemming process on Indonesian tweet sentiment analysis.Furthermore, this work examines about the difference effectbetween two conditions by involving stemming and withoutinvolving stemming on pre-preprocessing task. The experimentsshow that the accuracy difference for SVM using stemming in preprocessingacquired 0.67% and 1.34% higher than pre-processingwithout stemming, whereas, Naive Bayes obtained 0.23% and1.12%. Finally, this research proves that stemming does not raisethe accuracy either using SVM or Naive Bayes algorith
Potential of Residential Grid-Connected Photovoltaic System as the Future Energy Source in Malaysia
Get PDFMalaysia has started the implementation of solarenergy harvesting in 1998. Located at equatorial region, Malaysia hasa large potential for solar energy. This paper examines the currentenergy consumption and demand in Malaysia. The potential of solarenergy harvesting in Malaysia is described together with the suitablephotovoltaic construction. It also explains the plans conducted byMalaysia involving solar energy that covers investments and alsoprojects involved such as Malaysia Building Integrated Photovoltaic(MBIPV). Finally, this paper analyses the potential of having a gridconnectedPV system in a residential area. The positive and negativefindings in terms of cost and suitability of the system are explaine
Experimental and Theoretical Prediction of Ozone Yield by High Frequency Silent Discharge
Get PDFThe paper uses dimensional analysis to develop atheoretical prediction of the yield of a high frequency silentdischarge ozone generator at atmospheric pressure. Theexperimental work was carried out in order to verify the viability ofthe resulting yield equation, a rectangular shaped chamber with a1.5 mm air gap was constructed. Aluminium mesh electrodes wereused with metal tape and a planar mica sheet forming a dielectricbarrier. The power supply to the chamber was from a modifiedclass E resonant power inverter. It is established that predictionsusing the yield equation match closely with data obtained from theexperimental finding