Browse Items (68 total)
- Collection: Vol. 18, No. 4 2020
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TELKOMNIKA Telecommunication, Computing, Electronics and Control
Medium term load demand forecast of Kano zone using neural network algorithms
Electricity load forecasting refers to projection of future load requirements of an area or region or country through appropriate use of historical load data. One of several challenges faced by the Nigerian power distribution sectors is the…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Green coffee beans feature extractor using image processing
This study offers a novel solution to deal with the low signal-to-noise ratio and slow execution rate of the first derivative edge detection algorithms namely, Roberts, Prewitt and Sobel algorithms. Since the two problems are brought about by the…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
A simplified spatial modulation MISO-OFDM scheme
Index modulation is one of the promising techniques for future
communications systems due to many improvement over the classical
orthogonal frequency division multiplexing systems such as single RF chain, increased throughput for the same…
communications systems due to many improvement over the classical
orthogonal frequency division multiplexing systems such as single RF chain, increased throughput for the same…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Spatial association discovery process using frequent subgraph mining
Spatial associations are one of the most relevant kinds of patterns used by business intelligence regarding spatial data. Due to the characteristics of this particular type of information, different approaches have been proposed for spatial…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Enhancement of student performance prediction using modified K-nearest neighbor
The traditional K-nearest neighbor (KNN) algorithm uses an exhaustive search for a complete training set to predict a single test sample. This procedure can slow down the system to consume more time for huge datasets. The selection of classes for a…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Na3Ce(PO4)2:Tb3+ and Na(Mg2–xMnX)LiSi4O10F2:Mn phosphors: a suitable selection for enhancing color quality and luminous flux of remote white light-emitting diodes
This study proposed the TRP, a remote phosphor structure that has 3 phosphor layers, to ehance the chromatic quality and lumen output for white light-emitting diodes devices (WLEDs). The arrangment of phosphor layers is yellow YAG:Ce3+ phosphor,…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Outage probability analysis in DF power-splitting full-duplex relaying network with impact of Co-channel interference at the destination
Nowadays, improving the WPCN efficiency problem is the leading research direction in the communication network. In this research, the outage probability (OP) analysis in DF power-splitting (PS) full-duplex (FD) Relaying Network with Impact of…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Influence of SME characteristics on the implementation of ERP
The ERP market has recently experienced a significant evolution in recent years, both in large companies and in small and medium-sized enterprises (SMEs). Compared to large companies, SMEs are distinguished by specific characteristics that can…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Internet-offline solution: detail description and benchmarking
In this paper, for the first time, the detail of the internet-offline solution
for rural/village schools is described, and its benchmarking is reported.
For providing offline knowledge access, four (4) different systems have
examined. An…
for rural/village schools is described, and its benchmarking is reported.
For providing offline knowledge access, four (4) different systems have
examined. An…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Approximation of regression-based fault minimization for network traffic
This research associates three distinct approaches for computer network traffic prediction. They are the traditional stochastic gradient descent (SGD) using a few random samplings instead of the complete dataset for each iterative calculation, the…