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29,758 Article Results

A noninvasive smart wearable for diaper moister quantification and notification

10.11591/ijece.v9i4.pp2848-2862
Tareq Khan
A baby feels uncomfortable in a wet diaper and it can cause health issues such as diaper rash. Diaper rash can be avoided by changing the diaper as soon as the baby urinates or passes stool. In this project, a smart wearable gadget is developed which sends an automatic notification to a caregiver’s smartphone whenever the baby urinates. The proposed wearable detects urination event noninvasively by sensing the temperature rise on the outer surface of the diaper and quantifies the event using a decision tree and a midpoint based k-nearest neighbor (KNN) hybrid classification algorithm. The gadget is a small size, low power, low cost and reusable electronic device that is attached externally to the outer surface of the diaper. The gadget can be used with any disposable diaper, thus no change in the diaper production process or price increase is required. The smartphone app shows the diaper change urgency score and logs all the urination events. This record can facilitate treating diseases where accurate records of urination are required. A prototype of the hardware gadget and a smartphone app is developed and tested.
Volume: 9
Issue: 4
Page: 2848-2862
Publish at: 2019-08-01

Dynamic model development for lead acid storage battery

10.11591/ijeecs.v15.i2.pp609-619
B. V. Rajanna , Malligunta Kiran Kumar
It is widely accepted that electrochemical batteries ensure superior energy storage and reliability of power supply. This paper proposes to discuss the dynamic performance of the Lead Acid Storage battery and to develop an Electrical Equivalent circuit and study its response to sudden changes in the output. A detailed explanation of the discharging process for lead-acid storage batteries and the factors affecting the rate of chemical reactions is provided. The objective of the study is to find the reduction in terminal voltage due to the change in reaction rate and to evolve a simple dynamic model for discharge of the battery.
Volume: 15
Issue: 2
Page: 609-619
Publish at: 2019-08-01

A study of distilled water and zamzam water as dielecric dense patch antenna at 5 GHz

10.11591/ijeecs.v15.i2.pp942-949
N. H. Moktar , W. I. Roseli , M. T. Ali , R. A. Awang
This paper was performed in order to study about distilled water and zamzam water which act as dielectric dense (DD) patch antenna at 5 Ghz applications. This antenna is proposed and designed using FR-4 substrate that sandwiched together to perform DD structure. The proposed antennas employ simple rectangular structure that fed with inset feeder surround by electromagnetic bandgap (EBG) structure.In order too enhance the gain, superstrate is applied on top of the antenna. This antenna offers a wideband return loss of more than -10dB between 4.41-5.52Ghz (around 22.2%) which can be applied in 5 Ghz applications. Details of DD water antenna of center frequency for 5 Ghz is presented and discussed.
Volume: 15
Issue: 2
Page: 942-949
Publish at: 2019-08-01

Strategies of linear feedback control and its classification

10.12928/telkomnika.v17i4.10989
Saad Fawzi; University of Mosul AL-Azzawi , Maysoon M.; University of Mosul Aziz
This paper is concerned with the control problem for a class of nonlinear dynamical (hyperchaotic) systems based on linear feedback control strategies. Since the obtaining positive feedback coefficients are required for these strategies. From this point of view, the available ordinary/dislocated/enhancing and speed feedback control strategies can be classified into two main aspects: control the dynamical systems or can't be control although it own a positive feedback coefficients. So, we focused on these cases, and suggest a new method to recognize which system can be controller it or not. In this method, we divided the positive feedback coefficient which obtain from these strategies in to four categories according to possibility of suppression and show the reason for each case. Finally, numerical simulations are given to illustrate and verify the results.
Volume: 17
Issue: 4
Page: 1931-1940
Publish at: 2019-08-01

Road markers classification using binary scanning and slope contours

10.12928/telkomnika.v17i4.12759
Zamani Md; Universiti Teknikal Malaysia Melaka Sani , Hadhrami Abd; Multimedia University Ghani , Rosli; Multimedia University Besar , Azizul; Universiti Teknologi Malaysia Azizan
Road markers guide the driver while driving on the road to control the traffic for the safety of the road users. With the booming autonomous car technology, the road markers classification is important in its vision segment to navigate the autonomous car. A new method is proposed in this paper to classify five types of road markers namely dashed, single, double, solid-dashed and dashed-solid which are commonly found on the two lane single carriageway. The classification is using unique feature acquired from the binary image by scanning on each of the images to calculate the frequency of binary transition. Another feature which is the slopes between the two centroids which allow the proposed method, to perform the classification within the same video frame period. This proposed method has been observed to achieve an accuracy value of at least 93%, which is higher than the accuracy value achieved by the existing methods.
Volume: 17
Issue: 4
Page: 2048-2057
Publish at: 2019-08-01

Live forensics of tools on android devices for email forensics

10.12928/telkomnika.v17i4.11748
Rusydi; Universitas Ahmad Dahlan Umar , Imam; Universitas Ahmad Dahlan Riadi , Bashor Fauzan; Universitas Ahmad Dahlan Muthohirin
Email is one communication technology that can be used to exchange information, data, and etc. The development of email technology not only can be opened using a computer but can be opened using an smartphone. The most widely used smartphone in Indonesian society is Android. Within a row, the development technology of higher cybercrime such as email fraud catching cybercrime offenders need evidence to be submitted to a court, for obtain evidence can use tools like Wireshark and Networkminer to analyzing network traffic on live networks. Opportunity, we will do a comparison of the forensic tools it to acquire digital evidence. The subject of this research focused on Android-based email service to get as much digital evidence as possible on both tools. This process uses National Institute of Standards and Technology method. The results of this research that networkminer managed to get the receiving port, while in Wireshark not found.
Volume: 17
Issue: 4
Page: 1803-1809
Publish at: 2019-08-01

Circularly polarized microstrip patch antenna array for GPS application

10.11591/ijeecs.v15.i2.pp920-926
Taher Khalifa , N. M. Sahar , N. Ramli , M. T. Islam
The 12 elements antenna array for GPS system having high gain with circular polarization is presented in this paper. The circularly polarized antenna is very suitable for the use of various wireless systems such as Global Positioning System with operating frequency is 1.27 GHz with AR is less than 3 dB between 82˚ and 140˚.The antenna consists of twelve main radiation patches connected in parallel. The antennas array are designed on the Rogers RT5880 substrate with a dielectric constant (εr) of 2.2 and thickness is 0.787 mm. The antenna is excited with an inset feed line and it operates in L-band with a resonant frequency of 1.27 GHz.
Volume: 15
Issue: 2
Page: 920-926
Publish at: 2019-08-01

Power transmission lines electromagnetic pollution with consideration of soil resistivity

10.12928/telkomnika.v17i4.12771
Ali; College of Electrical and Electronics Technology-Benghazi Elgayar , Zulkurnain; Universiti Teknologi Malaysia Abdul-Malek , Ruqayyah; Universiti Teknologi Malaysia Othman , Ibtihal Fawzi; College of Electrical and Electronics Technology-Benghazi Elshami , A. M.; College of Electrical and Electronics Technology-Benghazi Elbreki , Visa Musa; Universiti Teknologi Malaysia Ibrahim , Mohammed Imran; Universiti Teknologi Malaysia Mousa , Chin-Leong; Universiti Malaysia Perlis Wooi
The alternating current (AC) total interference of power lines may pose a threat to personnel and equipment in its vicinity. The main objective of this work is to determine the electromagnetic distribution and induced voltages on human body, equipment, and houses due to the AC total interference for different soil resistivities. The electromagnetic field and induced voltages may cause health problems to the human body and put it at risk. Two main approaches were used to compute the electromagnetic and induced voltages, namely the field approach, which is based on electromagnetic field distribution, and the circuit approach, which uses the circuit grounding analysis to compute the conductive interference and then uses the circuit based models to compute the inductive interference. Human body, steel houses and 10-km-long transmission line were modelled. The soil resistivity was varied, and the induced voltages obtained from both approaches were compared. Soil resistivity and soil structure are important parameters that affect the AC interference level. The results show that the touch voltage increases when the distance between electromagnetic source and human body increases. For high soil resistivity, the danger of the touch voltage becomes more prominent compared to that for low soil resistivity. Power system voltage level and soil resistivity are two key factors influencing the induced voltage level.
Volume: 17
Issue: 4
Page: 1985-1991
Publish at: 2019-08-01

Characterization of excitation source LEDs and sensors without filters for measuring fluorescence in fluorescein and green leaf extract

10.12928/telkomnika.v17i4.11985
Miguel Ángel; Universidad Nacional de Colombia Garrido Tamayo , Fredy Edimer; Universidad Nacional de Colombia Hoyos Velasco , John E.; Universidad Nacional de Colombia Candelo-Becerra
This paper presents the characterization of excitation source LEDs and sensors without filters for measuring fluorescence in fluorescein and green leaf extract. For this purpose, eight light-emitting diodes (LEDs) were used with the following characteristics: one blue, one green, one red, one infrared, and four violets. The first four LEDs were used as sensors without filters to detect fluorescence induced by the other four violet LEDs in 11 samples of different fluorescein concentrations and in 14 samples of different dilutions of green leaf extract. The results show that infrared LEDs can detect the red emission of green leaf extract and red and infrared LEDs detect the fluorescence of fluorescein in concentrations of up to 1.8 μM. The developed system allows and facilitates teaching optical spectroscopy in basic education without incurring high costs.
Volume: 17
Issue: 4
Page: 1838-1844
Publish at: 2019-08-01

Electricity theft detection framework based on universal prediction algorithm

10.11591/ijeecs.v15.i2.pp758-768
Abdulrahaman Okino Otuoze , Mohd Wazir Mustafa , Ibim Ebianga Sofimieari , Abdulhakeem Mohd Dobi , Aliyu Hamza Sule , Abiodun Emmanuel Abioye , Muhammad Salman Saeed
Electricity theft has caused huge losses over the globe and the trend of its perpetuation constantly evolve even as smart technologies such as smart meters are being deployed. Although the smart meters have come under some attacks, they provide sufficient data which can be analysed by an intelligent strategy for effective monitoring and detection of compromised situations. So many techniques have been employed but satisfactory result is yet to be obtained for a real-time detection of this electrical fraud. This work suggests a framework based on Universal Anomaly Detection (UAD) utilizing Lempel-Ziv universal compression algorithm, aimed at achieving a real-time detection in a smart grid environment. A number of the network parameters can be monitored to detect anomalies, but this framework monitors the energy consumption data, rate of change of the energy consumption data, its date stamp and time signatures. To classify the data based on normal and abnormal behaviour, Lempel-Ziv algorithm is used to assign probability of occurrence to the compressed data of the monitored parameters. This framework can learn normal behaviours of smart meter data and give alerts during any detected anomaly based on deviation from this probability. A forced aggressivemeasure is also suggested in the framework as means of applying fines to fraudulent customers.
Volume: 15
Issue: 2
Page: 758-768
Publish at: 2019-08-01

AUTO-CDD: automatic cleaning dirty data using machine learning techniques

10.12928/telkomnika.v17i4.12780
Jesmeen M. Z.; Multimedia University H. , Abid; Khulna University Hossen , J.; Multimedia University Hossen , J. Emerson; Multimedia University Raja , Bhuvaneswari; Multimedia University Thangavel , S.; Multimedia University Sayeed , Tawsif; Multimedia University K.
Cleaning the dirty data has become very critical significance for many years, especially in medical sectors. This is the reason behind widening research in this sector. To initiate the research, a comparison between currently used functions of handling missing values and Auto-CDD is presented. The developed system will guarantee to overcome processing unwanted outcomes in data Analytical process; second, it will improve overall data processing. Our motivation is to create an intelligent tool that will automatically predict the missing data. Starting with feature selection using Random Forest Gini Index values. Then by using three Machine Learning Paradigm trained model was developed and evaluated by two datasets from UCI (i.e. Diabetics and Student Performance). Evaluated outcomes of accuracy proved Random Forest Classifier and Logistic Regression gives constant accuracy at around 90%. Finally, it concludes that this process will help to get clean data for further analytical process.
Volume: 17
Issue: 4
Page: 2076-2086
Publish at: 2019-08-01

Efficient datamining model for prediction of chronic kidney disease using wrapper methods

10.11591/ijict.v8i2.pp63-70
Ramaswamyreddy A , Shiva Prasad S , K V Rangarao , A Saranya
In the present generation, majority of the people are highly affected by kidney diseases. Among them, chronic kidney is the most common life threatening disease which can be prevented by early detection. Histological grade in chronic kidney disease provides clinically important prognostic information. Therefore, machine learning techniques are applied on the information collected from previously diagnosed patients in order to discover the knowledge and patterns for making precise predictions. A large number of features exist in the raw data in which some may cause low information and error; hence feature selection techniques can be used to retrieve useful subset of features and to improve the computation performance. In this manuscript we use a set of Filter, Wrapper methods followed by Bagging and Boosting models with parameter tuning technique to classify chronic kidney disease. The capability of Bagging and Boosting classifiers are compared and the best ensemble classifier which attains high stability with better promising results is identified.
Volume: 8
Issue: 2
Page: 63-70
Publish at: 2019-08-01

Energy efficient resources allocations for wireless communication systems

10.12928/telkomnika.v17i4.10135
Vinsensius Sigit; Telkom university Widhi Prabowo , Arfianto; Telkom university Fahmi , Nachwan Mufti; Telkom University Adriansyah , Nur; Telkom University Andini
The energy consumption level of the telecommunication process has become a new consideration in resource management scheme. It is becoming a new parameter in the resource management scheme besides throughput, spectral efficiency, and fairness. This work proposes a power control scheme and user grouping method to keep the rational energy consumption level of the resource management scheme. Inverse water-filling power allocation is a power allocation scheme that optimizes the energy efficiency by giving the power to the user which have good channel conditions. The user grouping method becomes the solution for carrier aggregation (CA) scheme that prevents edge cell user get the resources from the high-frequency carrier. This can prevent energy wastage in the transmission process. This power control scheme and user grouping method can optimize the spectral and energy efficiency without increasing the time complexity of the system.
Volume: 17
Issue: 4
Page: 1625-1634
Publish at: 2019-08-01

Depression and anxiety detection through the closed-loop method using DASS-21

10.12928/telkomnika.v17i4.12619
Setiyo; Universitas Mercu Buana Budiyanto , Harry Candra; Universitas Mercu Buana Sihombing , Fajar Rahayu; Universitas Mercu Buana I. M.
The change of information and communication technology has brought many changes in daily life. The way humans interacting is changing. It is possible to express each form of communication directly and instantly. Social media has contributed data in size, diversity and capacity and quality. Based on it, the idea was to see and measure the tendency of depression and anxiety through social media using the Closed-Loop method using Facebook text mining posts. Through the stages of pre-processing including text extraction using the Naïve Bayes machine learning model for text classification, the early signs of depression and anxiety are measured using DASS-21 parameter. In total, 22,934 Facebook posts were contributed as training and learning data collected from July 2017 until July 2018. As a results, analysis and mapping of social demographics of users that are usually as a trigger of depression, and anxiety, such as grief, illness, household affairs, children education and others are available.
Volume: 17
Issue: 4
Page: 2087-2097
Publish at: 2019-08-01

A low cost spectroscopy with Raspberry Pi for soil macronutrient monitoring

10.12928/telkomnika.v17i4.12775
Suhaila; Universiti Teknologi Malaysia Isaak , Yusmeeraz; Universiti Teknologi Malaysia Yusof , Nor Hafizah; Universiti Tun Hussien Onn Ngajikin , Norhafizah; Universiti Teknologi Malaysia Ramli , Chuan Mu; Universiti Teknologi Malaysia Wen
Soil spectroscopy measurement is widely used to determine the macronutrients content in the soil. Spectrometer is costly equipment and commonly used to determine the transmittance, absorbance or reflectance level of various liquids and opaque solids by measuring the intensity of light as a light source passes through a sample chemical substance. This paper is reported on a low cost experimental assessment of soil macronutrient for soil spectroscopy utilizing Raspberry Pi (RPI) module in visible and near-infrared (NIR) wavelength. The sensitivity measurements are mainly due to the concentration level and the intensity of light emitting diode (LED) light source. The work is focusing on the absorbance spectroscopy particularly on linear relationship to determine the Nitrogen (N), Phosphorus (P) and Potassium (K) content level in soil using colour-developing reagent. The development of low cost and portable RPI based spectrophotometer has created new possibilities to measure the concentration level of the existed soil macronutrient within visible and infrared light wavelength of light sources. The absorbance of light was computed based on Beer-Lambert Law. The low cost RPI based spectrometer costs 80% less than the spectrometer available in the market and is capable of recording the absorbance measurements up to 5 samples. The performance of this prototype shows that it is possible to build the spectrometer using open-source software and hardware by considering the limiting factors such as light transfer to the sample, spectral filtering and the sensitivity due to the signal-to-noise ratio.
Volume: 17
Issue: 4
Page: 1867-1873
Publish at: 2019-08-01
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