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29,922 Article Results

Efficient method for breast cancer classification based on ensemble hoffeding tree and naïve Bayes

10.11591/ijeecs.v18.i2.pp1074-1080
Royida A. Ibrahem Alhayali , Munef Abdullah Ahmed , Yasmin Makki Mohialden , Ahmed H. Ali
The most dangerous type of cancer suffered by women above 35 years of age is breast cancer. Breast Cancer datasets are normally characterized by missing data, high dimensionality, non-normal distribution, class imbalance, noisy, and inconsistency. Classification is a machine learning (ML) process which has a significant role in the prediction of outcomes, and one of the outstanding supervised classification methods in data mining is Naives Bayess Classification (NBC). Naïve Bayes Classifications is good at predicting outcomes and often outperforms other classifications techniques. Ones of the reasons behind this strong performance of NBC is the assumptions of conditional Independences among the initial parameters and the predictors. However, this assumption is not always true and can cause loss of accuracy. Hoeffding trees assume the suitability of using a small sample to select the optimal splitting attribute. This study proposes a new method for improving accuracy of classification of breast cancer datasets. The method proposes the use of Hoeffding trees for normal classification and naïve Bayes for reducing data dimensionality.
Volume: 18
Issue: 2
Page: 1074-1080
Publish at: 2020-05-01

Development of energy harvesting from burning process for community need via IoT based system

10.11591/ijeecs.v18.i2.pp636-641
Rahaini Mohd Said , Nagen Krishnan , Amardeep Singh Dhillon , Nor Hafizah Hussin , Shamsul Fakhar Abd Gani
In this paper, a proposal was made to recreate an energy harvesting technique using biomass energy such as twigs, leaves, wood, paper, and charcoal emitted by burning the said materials and harvest the energy from the released heat. The harvested energy is then converted into a voltage that can be used to charge devices such as mobile phones or even turn on emergency lights. In terms of its application, the system can be used to provide backup power during disaster especially during a flood or other causes of power outages. The system can also be used to charge electronic devices during outdoor activities in remote areas where electricity is inaccessible such as camping or other outdoor activities. This system can produce free electric power that can also be extremely beneficial in third world countries. The cost of the module used is also much cheaper than other existing harvesting methods such as solar panels or water turbines. Based on test data collected using IoT platform, charcoal was determined as the best material in terms of output power generated.
Volume: 18
Issue: 2
Page: 636-641
Publish at: 2020-05-01

The investigation on defect recognition system using gaussian smoothing and template matching approach

10.11591/ijeecs.v18.i2.pp812-820
M. H. Harun , M. F. Yaakub , A. F. Z. Abidin , A. H. Azahar , M. S. M. Aras , M. B. N. Shah , M. F. M. Basar
This paper investigates various approaches for automated inspection of gluing process using shape-based matching application. A new supervised defect detection approach to detect a class of defects in gluing application is proposed. Creating of region of interest in important region of object is discussed. Gaussian smoothing features is proposed in determining better image processing. Template matching in differentiates between reference and tested image are proposed. This scheme provides high computational savings and results in high defect detection recognition rate. The defects are broadly classified into three classes: 1) gap defect; 2) bumper defect; 3) bubble defect. This system does lessen execution time, yet additionally produce high precision in deformity location rate. It is discovered that the proposed framework can give precision at 95.77% recognition rate in recognizing imperfection for gluing application.
Volume: 18
Issue: 2
Page: 812-820
Publish at: 2020-05-01

Implementation of optical flow: good feature definition for tracking of heart cavity

10.11591/ijeecs.v18.i2.pp1057-1065
Anwar Anwar , Riyanto Sigit , Achmad Basuki , I Putu Adi Surya Gunawan
Echocardiography is a method of examination using high-frequency sound waves to capture images of the heart organ structure. Echocardiography video is used by a doctor to analyze heart wall cavity movements and identify heart disease. Several points of view including the long axis, the two and four cavities in the left ventricle can be used in the examination of heart function. Cardiac assessment is still performed conventionally, which requires a level of thoroughness. This research proposes a method for tracking the movement of the heart wall. In this method, the good feature was defined only in the first frame. Furthermore, the whole frame will be processed by the optical flow method. Good feature definition consists of image enhancement, segmentation and tracking processes using the optical flow. Furthermore, the calculation of contour similarity from the proposed method by forming contour manually using 24 point initialization to draw the heart cavity. The proposed method shows the calculation results with a sensitivity of 90% and an accuracy of 87.451%.
Volume: 18
Issue: 2
Page: 1057-1065
Publish at: 2020-05-01

Electrical production cost of young coconut waste pellet by using mini pellet mill-a feasibility study

10.11591/ijeecs.v18.i2.pp599-606
Norain Idris , Intan Mastura Saadon , Aziean Mohd Azize , Muhammad Zulfattah bin Zakaria
Biomass from plants, which have lignocellulosic structure have low bulk density of 30 kg/m3, is suitable to be pelletized to increase its specific density (gravity) for easy and inexpensive handling and storage. A new biomass waste material has evolved in interest due to abundant young coconut waste produced from famous young coconut drink and shake business in Melaka, Malaysia. The young coconut pelletization feasibility needs to be verified by firstly assessing its electrical production cost. Therefore, this paper aims to measure the electrical production cost for process involved in young coconut pelletization and analyze its competitiveness against other biomass material from other countries. This is executed by assessing the electrical production cost of three main process in pelletization; crushing, drying and pelleting. The equipments used are coconut crusher, lab-scaled industrial oven and mini pellet mill. The result demonstrates a significantly high electrical production cost, which is MYR141,430/tonne, while other material’s production cost only amounts to couple of Malaysian hundreds. Processes’ efficiency need to be massively improved by using drum drying method and by adding blender after crusher to increase the desired grain size to avoid raw material wastage. Electrical tariff must also be switched from commercial to industrial tariff. 
Volume: 18
Issue: 2
Page: 599-606
Publish at: 2020-05-01

A framework for named entity recognition of clinical data

10.11591/ijeecs.v18.i2.pp946-952
Ravikumar J , Ramakanth Kumar P
With emergence of technologies like big data, the healthcare services are also being explored to apply this technology and reap benefits. Big Data analytics can be implemented as a part of e-health which involves the extrapolation of actionable insights from sources like health knowledge base and health information systems. Present day medical data creates a lot of information consistently. At present, Hospital Information System is a quickly developing innovation. This data is a major asset for getting data from gathering of gigantic measures of surgical information by forcing a few questions and watchwords. Be that as it may, there is issue of getting data precisely what the client need, because Hospital Information System contains more than one archive identified with a specific thing, individual or episode and so on. Information extraction is one of information mining systems used to concentrate models portraying essential information classes. The proposed work will work for the most part concentrating on accomplishing great execution in Medical Domain. Fundamentally this had two primary purposes one was separating significant information from patient content record and second one labelling name substance, for example, individual, association, area, malady name and symptoms. Improve survival rates and tweak care conventions and review inquiries to better deal with any interminable consideration populace. Lower costs by decreasing pointless hospitalizations. Abbreviate length of stay when confirmation is fundamental.
Volume: 18
Issue: 2
Page: 946-952
Publish at: 2020-05-01

Improvement for performance radio frequency in wireless communication based on impulse signal

10.11591/ijeecs.v18.i2.pp903-916
Jafaar Fahad A. Rida
This research presents the improved performance of mobile wireless communication channel is based on non-line of sight because the mobile propagation channel is very hard to work with direct path between the transmitter and mobile receiver because of city-based area has objects such as rise building, trees, surround structures, and other objects. The mobile wireless spread radio channels have radio propagation mechanisms as a reflection, diffraction, and scattering effect on radio signal as lessening, and distortion or spread time. The most important thing to make real is that the wireless channel is a multipath radio channel. Multipath copies of the same signal with distinct amplitudes, stages and delay times for all multipaths between the transmitter and the receiver. The multipath fading is defined by its impulse response, which includes the facts about the relative time of the recipient's arrival of various indices of multipath additives. The impulse response expresses great characteristics in the time domain such the large bandwidth frequencies and the amplitude output only the value impulse response δ(t) equal to one when the value of time t=0, otherwise,  the value impulse response δ(t) equal to zero in all values of the time. Over a time period reaction, the cellular radio channel could be designed as a linear filter with various impulses.
Volume: 18
Issue: 2
Page: 903-916
Publish at: 2020-05-01

Green roof performance under malaysia tropical climates: a review

10.11591/ijeecs.v18.i2.pp614-621
Nur Fitriah Isa , Hartini Kasmin , Norhaizura Yahya , Mustaqqim Abdul Rahim , Zuhayr Md Ghazaly
Green roof system is one of sustainable approach for energy consumption reduction and improving the aesthetic value of the built environment. The system has been adopted by most of developed countries; and in Malaysia, research on green roof studies are quite evolving however the implementation of the system is slow due to some perceptions and obstacles. Green roof has potential on providing benefits such as reduction on the urban heat island effect, reduces temperatures, pollution and improves the attenuation of stormwater. This paper will highlights on a preliminary review of the implementation green roof system in Malaysia and explores the performances of Malaysian green roof in order to highlight the performance of green roof under tropical climatic conditions using local configurations.
Volume: 18
Issue: 2
Page: 614-621
Publish at: 2020-05-01

Diagnosing of some hepatic lesions from light microscope images based on morphological and texture features

10.11591/ijeecs.v18.i2.pp995-1003
Zamen Fadhel Jabr , Mohammed abd Alabbas Hasan
One of the common problems observed in medicines is hepatotoxicity as liver play mainly role in metabolizes the herbal medicines. Although, the acceptance of herbal medicines is growing nowadays still there is an absence of knowledge about their toxicological properties and the right use being a hepatotoxic.This paper presents method to detect and diagnoses liver lesions in four types: necrotic cells, fatty degenerative cells, hepatocellular hypertrophic cells and congested cells using image processing techniques. The method is proposed to perform two tasks the first is conclude whether the liver image is normal or abnormal the second if abnormal state is detected then diagnosis lesions type must performs. The method progresses in many steps are preprocessing, features extraction, classification and lesion diagnosing. Grey level co-occurrence Matrix (GLCM) technique is utilize to concentrate features to distinguish between normal and abnormal case using neural network classifier if abnormal state is detected the method feedback with colour image to analyse cells shape and image intensity colour to determine which type of diseases founded in image based on statistical and morphological features of cells. The method tested on 107 images it is got on the accuracy 100% in classification and 95% in diagnosing.
Volume: 18
Issue: 2
Page: 995-1003
Publish at: 2020-05-01

Smart home automation towards the development of smart cities

10.11591/csit.v1i1.p17-25
Tanweer Alam , Abdulrahman A. Salem , Ahmad O. Alsharif , Abdulaziz M. Alhejaili
Home automation system is a system that controls by the smart device using a mobile application. It can control home appliances such as light, fans, air conditions, and smart security locks, etc. Bluetooth or Wi-Fi technology will be used to control things remotely.  Many people were thinking about that technology is taking a really huge part of our lives. It does! we’re living in a modern generation where smart and intelligent systems are necessary to be there wherever we are to make our lives easier and much better, for example, we can do many things faster, better, and more accurate.
Volume: 1
Issue: 1
Page: 17-25
Publish at: 2020-05-01

Mathematical study of the mean communication distances at lognormal shadow fading and Nakagami fading

10.11591/ijeecs.v18.i2.pp1104-1111
Souparnika Subhash Jadhav , Nagesh K. N , Ravi Chaurasia
Over some few decades, the communication distance and connectivity at wireless sensor network (WSN) has got noticeable attention from the researchers. In general, the communication process in WSN ad-hoc occurs without some wired infrastructure and, the communication process done through a ‘single-hop’ transmission, where the intermediate nodes called as relay nodes are used in long distance communication and the nodes are capable to transmit and receive the data packets. In this paper, we presented a computational analysis of communication distance in WSN in the presence of fading effects such as nakagami-m fading and lognormal fading. An extensive investigation at both nakagami-m fading and lognormal fading is carried out to provide optimize communication in ad-hoc WSN. In addition, individual wireless nodes have the similar range of communication, is assumed to get the precise communication distance and coverage area in a WSN, where it is required to get mean communication distance. In result analysis section, several validation parameters such as transmitted power, attenuation constant and different number of fading factor is considered to provide proper analytical view. 
Volume: 18
Issue: 2
Page: 1104-1111
Publish at: 2020-05-01

Extraction of series resistance and mobility degradation parameter in MOSFETs using iterative method

10.11591/csit.v1i1.p26-31
Noureddine Maouhoub , Khalid Rais
Series resistance and mobility attenuation parameter are parasitic phenomena that limit the scaling of advanced MOSFETs. In this work, an iterative method is proposed to extract the series resistance and mobility degradation parameter in short channel MOSFETs. It also allows us to extract the surface roughness amplitude. The principle of this method is based on the exponential model of effective mobility and the least squares methods. From these, two analytical equations are obtained to determine the series resistance and the low field mobility as function of the mobility degradation. The mobility attenuation parameter is extracted using an iterative procedure to minimize the root means squared error (RMSE) value. The results obtained by this technique for a single short channel device have shown the good agreement with measurements data at strong inversion. 
Volume: 1
Issue: 1
Page: 26-31
Publish at: 2020-05-01

Energy conservation potentials of an office buildings in Northern Nigeria: A case study of Katsina secretariat complex

10.11591/ijeecs.v18.i2.pp629-635
Muhammad Rabiu Abbas
The importance of energy conservation in our contemporary world cannot be overemphasized, efficient utilization of energy has significant impact in improving economy at all levels of human endeavour. No doubt, adequate and appropriate utilization of energy especially electrical energy boosts up any organizational developmental activities. Recently, research interest has emphasis towards efficient energy utilization and energy conservation as the effective means of reducing energy consumption in buildings thereby reducing its maintenance cost. This paper investigated and analysed the energy consumption characteristics of Katsina state secretariat complex for the period of 3 years (i.e. from 2014 to 2016) based on site surveys and analysis of the energy end users present, using the records of electricity utility bills and Automotive Gas Oil (AGO), being the two energy carriers of the complex. Records have shown that, the secretariat complex average electricity and AGO annual consumptions were found as 1045661.95 kWh and 116650.33 litres of AGO (which is equivalent to 1250491.54 kWh) respectively. The investigation revealed a distinct consumption pattern, indicating peak energy consumption during the hot months of April to August due to significant air conditioning requirements. The result of the investigation of the energy conservation potentials in the secretariat complex have shown that, energy savings of up to 6.5% of the total energy can be achieved by switching-off all security lights during the day. While turning off the air conditioners in the early morning hours of between 8am to 10am would provide a saving of up to 19% of the total energy. Furthermore, a saving of 16.5% of the total energy can be achieved when the incandescent lamps are replaced with the energy efficient ones. The energy conserving measures (ECMs) followed in this research has shown significant savings in terms of both energy and cost, and if well implemented can give way for a sustainable energy management of similar office buildings in future.
Volume: 18
Issue: 2
Page: 629-635
Publish at: 2020-05-01

Prototype of LPG gas leakage detector using flame sensor and MQ-2 sensor

10.11591/csit.v1i1.p32-38
Harya Gusdevi , Ade Setya P , Puji Handini Zulaeha
The conversion of kerosene use in household to gas, in addition to the decision of the Republic of Indonesia minister in relation to the movement of kerosene to gas, gas also given an affordable price, how to use it more effectively. But the public is also expected to be careful about how to use it, because the gas is explosive and leaking causing unpleasant odor (gas leak) even a more dangerous side effect is the explosion of gas cylinders. To evercome these problems then need a tool that can detect gas leakage, in order to prevent gas leakage early. Therefore the authors designed a device that can detect gas leakage by using Sensor Mq-2 and will issue sound gas alarm warning leak by Modul ISD 1760, and will stop the gas flow from the tube to the stove using a Solenoid Valve. There is also a Flame Sensor’s hardware to detect a fire if there is a spark emerging and spraying water into spots that are likely to spark fire. All hardware will be in if using ATMega 328 microcontroller. Monitoring can use android smartphone, with the application that can send a warning to the mobile phone.
Volume: 1
Issue: 1
Page: 32-38
Publish at: 2020-05-01

Email phishing: Text classification using natural language processing

10.11591/csit.v1i1.p1-12
Priyanka Verma , Anjali Goyal , Yogita Gigras
Phishing is networked theft in which the main motive of phishers is to steal any person’s private information, its financial details like account number, credit card details, login information, payment mode information by creating and developing a fake page or a fake web site, which look completely authentic and genuine. Nowadays email phishing has become a big threat to all, and is increasing day by day. Moreover detection of phishing emails have been considered an important research issue as phishing emails have been increasing day by day. Various techniques have been introduced and applied to deal with such a big issue. The major objective of this research paper is giving a detailed description on the classification of phishing emails using the natural language processing concepts. Natural language processing (NLP) concepts have been applied for the classification of emails, along with that accuracy rate of various classifiers have been calculated. The paper is presented in four sections. An introduction about phishing its types, its history, statistics, life cycle, motivation for phishers and working of email phishing have been discussed in the first section. The second section covers various technologies of phishing- email phishing and also description of evaluation metrics. An overview of the various proposed solutions and work done by researchers in this field in form of literature review has been presented in the third section. The solution approach and the obtained results have been defined in the fourth section giving a detailed description about NLP concepts and working procedure.
Volume: 1
Issue: 1
Page: 1-12
Publish at: 2020-05-01
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