An ML-assisted OTFS vs. OFDM adaptable modem

The Orthogonal-Time-Frequency-Space (OTFS) signaling is known to be resilient to doubly-dispersive channels, which impacts high mobility scenarios. On the other hand, the Orthogonal-Frequency-Division-Multiplexing (OFDM) waveforms enjoy the benefits of the reuse of legacy architectures, simplicity of receiver design, and low-complexity detection. Several studies that compare the performance of OFDM and OTFS have indicated mixed outcomes due to the plethora of system parameters at play beyond high-mobility conditions. In this work, we exemplify this observation using simulations and propose a deep neural network (DNN)-based adaptation scheme to switch between using either an OTFS or OFDM signal processing chain at the transmitter and receiver for optimal mean-squared-error (MSE) performance. The DNN classifier is trained to switch between the two schemes by observing the channel condition, received SNR, and modulation format. We compare the performance of the OTFS, OFDM, and the proposed switched-waveform scheme. The simulations indicate superior performance with the proposed scheme with a well-trained DNN, thus improving the MSE performance of the communication significantly

Mobile Broadband Possibilities considering the Arrival of IEEE 802.16m & LTE with an Emphasis on South Asia

This paper intends to look deeper into finding an ideal mobile broadband solution. Special stress has been put in the South Asian region through some comparative analysis. Proving their competency in numerous aspects, WiMAX and LTE already have already made a strong position in telecommunication industry. Both WiMAX and LTE are 4G technologies designed to move data rather than voice having IP networks based on OFDM technology. So, they aren't like typical technological rivals as of GSM and CDMA. But still a gesture of hostility seems to outburst long before the stable commercial launch of LTE. In this paper various aspects of WiMAX and LTE for deployment have been analyzed. Again, we tried to make every possible consideration with respect to south Asia i.e. how mass people of this region may be benefited. As a result, it might be regarded as a good source in case of making major BWA deployment decisions in this region. Besides these, it also opens the path for further research and in depth thinking in this issue.Comment: IEEE Publication format, ISSN 1947 5500, http://sites.google.com/site/ijcsis

ANFIS Based Approach to Estimate Remnant Life of Power Transformer by Predicting Furan Contents

Condition monitoring and diagnostic playing important role in estimating remnant Life of power transformer. Concentration of furan content in transformer oil can be a promising factor for indirect measurement of the aging of transformer insulation. The oil gets contaminated mainly due to prolonged operation and ageing. The present research paper introduces Adaptive Neuro Fuzzy inference system (ANFIS) technique to correlate furanic compounds obtained by High Performance Liquid Chromatography (HPLC) test to remnant life of the power transformer. The results are obtained by conducting HPLC test at TIFAC-CORE lab, NIT Hamirpur on thirteen samples of Power transformer oil taken from Himachal State Electricity Board Ltd, Shimla (India).DOI:http://dx.doi.org/10.11591/ijece.v4i4.556

Robot swarm democracy: the importance of informed individuals against zealots

Abstract: In this paper we study a generalized case of best-of-n model, which considers three kind of agents: zealots, individuals who remain stubborn and do not change their opinion; informed agents, individuals that can change their opinion, are able to assess the quality of the different options; and uninformed agents, individuals that can change their opinion but are not able to assess the quality of the different opinions. We study the consensus in different regimes: we vary the quality of the options, the percentage of zealots and the percentage of informed versus uninformed agents. We also consider two decision mechanisms: the voter and majority rule. We study this problem using numerical simulations and mathematical models, and we validate our findings on physical kilobot experiments. We find that (1) if the number of zealots for the lowest quality option is not too high, the decision-making process is driven toward the highest quality option; (2) this effect can be improved increasing the number of informed agents that can counteract the effect of adverse zealots; (3) when the two options have very similar qualities, in order to keep high consensus to the best quality it is necessary to have higher proportions of informed agents

Pengaruh Konsentrasi AgNO 3 dan Suhu Sintesis terhadap Surface Plasmon Resonance (SPR) Nanopartikel Perak

The research aims to synthesis of silver nanoparticles (AgNPs) via bio-reduction method using mangosteen skin extract. The growth of AgNPs was characterized by ultraviolet-visible spectroscopy (UV-Vis). Based on Surface Plasmon resonance (SPR) data, observation suggested that an increase of initial AgNO3 concentration along with temperature, had affected its surface Plasmon resonance trend. SPR absorption indicates that the concentration of AgNO3 and the synthesis temperature was instrumental in the formation of silver nanoparticles

Pengaruh Konsentrasi AgNO 3 dan Suhu Sintesis terhadap Surface Plasmon Resonance (SPR) Nanopartikel Perak

The research aims to synthesis of silver nanoparticles (AgNPs) via bio-reduction method using mangosteen skin extract. The growth of AgNPs was characterized by ultraviolet-visible spectroscopy (UV-Vis). Based on Surface Plasmon resonance (SPR) data, observation suggested that an increase of initial AgNO3 concentration along with temperature, had affected its surface Plasmon resonance trend. SPR absorption indicates that the concentration of AgNO3 and the synthesis temperature was instrumental in the formation of silver nanoparticles

Sintesis Nanopartikel Perak dan Pengaruh Penambahan Asam p-Kumarat Untuk Aplikasi Deteksi Melamin

Biosynthesis of silver nanoparticles (AgNPs) using mangosteen bark extract, modification and its application in detecting melamine has conducted. This research aimed to synthesize AgNPs via bio-reduction method using mangosteen bark extract followed by modification with p-coumaric acid (APK), and evaluating its application detecting melamine. The AgNPs were characterized through ultraviolet-visible absorption spectroscopy (UV-Vis), Fourier transform infrared absorption spectroscopy (FTIR), and X-ray diffraction (XRD). Observation suggested that an increase of incubation time had affected its surface Plasmon resonance trend. Observation of functional group by FTIR showed that carbonyl group (1707 cm-1) suspected from hydroxyl group (3414 cm-1). Further analysis of crystallite via XRD suggested that nanoparticle size at 30 nm estimated using Debye-Scherer, within the form of unit cells is cubic. Modified AgNPs showed an interaction between APK and particle surface through C=C alkenes (1598 cm-1) and aromatics (1672 cm-1), =C-H aromatic (3070 cm-1), aliphatic C-H (2501 cm-1), C-O (1107 cm-1) and C=O carboxylate (1774 cm-1). The performance of product as melamine detector suggested that the AgNPs-APK had detected melamine in range of concentration from 0.1 to 1000 ppm