Hybrid Plasmonic Waveguide Fed Broadband Nano-antenna for Nanophotonic Applications

In this paper, we propose a novel hybrid plasmonic waveguide fed broadband optical patch nano-antenna for nanophotonic applications. Through full wave electromagnetic simulation, we demonstrated our proposed antenna to radiate and receive signal at all optical communication windows (e.g. $\lambda$ = 850nm, 1310nm & 1550nm) with around 86% bandwidth within the operational domain. Moreover numerical results demonstrate that the proposed nano-antenna has directional radiation pattern with satisfactory gain over all three communication bands. Additionally, we evaluated the antenna performances with two different array arrangements (e.g. one dimensional and square array). The proposed broadband antenna can be used for prominent nanophotonic applications such as optical wireless communication in inter and intra-chip devices, optical sensing and optical energy harvesting etc.Comment: 4 Page, 7 figure

GreMuTRRR: A Novel Genetic Algorithm to Solve Distance Geometry Problem for Protein Structures

Nuclear Magnetic Resonance (NMR) Spectroscopy is a widely used technique to predict the native structure of proteins. However, NMR machines are only able to report approximate and partial distances between pair of atoms. To build the protein structure one has to solve the Euclidean distance geometry problem given the incomplete interval distance data produced by NMR machines. In this paper, we propose a new genetic algorithm for solving the Euclidean distance geometry problem for protein structure prediction given sparse NMR data. Our genetic algorithm uses a greedy mutation operator to intensify the search, a twin removal technique for diversification in the population and a random restart method to recover stagnation. On a standard set of benchmark dataset, our algorithm significantly outperforms standard genetic algorithms.Comment: Accepted for publication in the 8th International Conference on Electrical and Computer Engineering (ICECE 2014

Early phase of user involvement to validate the minimum viable product:an approach of Lean UX

Abstract. Early product design and development in startup is filled with various challenges due to lack of resources, product idea, finding the targets markets, and so on. Scientific literature did not concentrate on those challenges during the development of the minimum viable product (MVP) in startups. The aim of this research was to create an MVP to collect user feedback to validate the initial product idea and discover the challenges and benefits when collecting user feedback. A case of FOOODO (web-based food selling application) was considerated as startup situation to validate the idea by collecting unbiased user feedback. The result of the study presented the way of collecting feedback from potential users to validate the first version of the product in start-ups context towards the MVP. To conduct the research a qualitative semi structured interview, observation and design science research (DSR) was used. The findings of the study presented the way of creating MVP through Lean UX process and various challenges factors subjected to MVP, future product concept, usability of MVP, right user selection and environment settings. The result of the study suggested that most of the potential user are not able to understand the future product concept until they see something visually, whereas MVP plays an important role for collecting user feedback during the development of the first version of the product. The research will contribute to the user experience (UX) practitioner’s community to understand the challenges by various factors that start-ups face during user feedback and MVP experimentation session and discover the benefits of collecting feedback with a minimum version of the product

Energy efficiency evaluation of BLE 5 technology

Abstract. As the demand for consumer electronic gadgets keep on growing rapidly day by day, a class of wirelessly connected digital accessories is getting to be built up. In this case, energy efficiency is considered as an essential basic necessity for a wireless communication system to be well adapted for the internet of things (IoT) application. The protocol parameters must be optimized for a given application in order to minimize power consumption. An energy model is therefore required, which can predict the energy consumption of a wireless device based on, Bluetooth low energy (BLE), e.g., for different parameter values. In this case, the BLE 5 technique can be a very effective solution. Lately, the Bluetooth 5 specifications have been introduced in order to offer remarkable improvements in comparison to the previous versions of the protocol. Bluetooth 5 coded is a new special kind of connection that comes with reliable communication features that varies in speed, range, and energy consumption aiming at providing better long-distance connections, but at a lower bit rate. Bluetooth 5 targets to improve twice the speed, four times range, and eight times the advertising in comparison to Bluetooth 4. This thesis describes the evaluation of the energy efficiency of recently specified BLE 5 technique’s coded mode. This work analyses both the analytical, and experimental performance of the energy efficiency of BLE 5 (S = 8) coded mode solution. It includes analytical modelling, Matlab programming, and real-life measurement using Nordic semiconductor nRF52840 development kit. The performance of lately revealed BLE 5 coded technique is compared to the performance of the BLE 4, which is seen today to be mostly used in case of commercial wireless devices. To improve the communication range of this low-power technique for IoT purposes, BLE 5 coded mode uses a forward error correction (FEC) method. Because of coding overhead, the packet length increases, and the throughput decreases. In this thesis, the frequency 2.4 GHz is considered. The LE Coded PHY is responsible for adding two steps into the packet transmissions, and reception. Firstly, FEC method is applied to the packet so that the receiver can make a correction of bit errors when the packet is received, and would be capable to improve the packet error rate (PER). Secondly, a pattern mapper method is applied to the packet. This FEC, and pattern mapping results in getting better sensitivity. The experimental results from this thesis show that BLE 5 technique provides better packet error rate (PER) performance, communication range performance, and received signal strength indicator (RSSI) performance than BLE 4, and BLE 5 consumes less energy than BLE 4, which was found out using analytical modelling