Emerging Trends in Engineering Research and Technology Vol. 7

Performance of Indiesel Fuel and the Blend of Aviation Turbine Fuel in the Diesel Engine: Current Research

2021-08-26T10:10:43+00:00

The performance of the Engine is tested with the Indiesel fuel with the blends of the Aviation Turbine Fuel up to the 40%. The distillation properties, performance and emissions are observed. This paper will project the output of the engine performance.

Plasma Polymerized Nanostructured Polyaniline as NO2 Gas Sensor

2021-08-26T10:13:18+00:00

The nanostructured polyaniline (PANI) thin film has been prepared by using pulsed plasma polymerization technique. The effects of substrate position, pressure and number of plasma pulses on the film growth rate were monitored and established an ideal condition. The characterization of prepared PANI thin film was performed with the ultraviolet-visible spectroscopy (UV-Vis), Fourier transform infrared spectroscopy (FTIR) and scanning electron microscope (SEM) studies. The surface of the thin film possessed three dimensional networks of the PANI belts as cauliflower like morphology with a diameter of 35-97 nm. The NO₂ gas sensing behavior was studied by measuring change in electrical conductivity with respect to concentration and time. All the findings have been discussed and results would be appreciably devoted in the area of sensor technology.

Speaker Identification Using Machine Learning: Advanced Study

2021-08-26T10:15:46+00:00

Whatever the modern achievement of deep learning for several terminology processing tasks, single-microphone, speaker-independent speech separation remains difficult for just two main things. The rest point is that the arbitrary arrangement of the goal and masker speakers in the combination (permutation problem) and also the following is the unidentified amount of speakers in the mix (output issue). We suggest a publication profound learning framework for speech modification, which handles both issues. We work with a neural network to project the specific time-frequency representation with the mixed-signal to a high-dimensional categorizing region. The time-frequency embeddings of the speaker have then made to an audience around corresponding attractor stage that is employed to figure out the time-frequency assignment with this speaker identifying a speaker using a blend of speakers together with the aid of neural networks employing deep learning. The purpose function for your machine is standard sign renovation error that allows finishing functioning throughout both evaluation and training periods. We assessed our system with all the voices of users three and two speaker mixes and also document similar or greater performance when compared with another advanced level, deep learning approaches for speech separation.

Recurrence Quantification Analysis of Wrist Pulse Signals to Distinguish Diabetic and Non-diabetic Subjects

2021-08-26T10:19:51+00:00

In ancient system of medicine pulse play a major role in the diagnosis of certain diseases. In the pulse diagnosis, the practitioner feels the pulse of the subject by placing his fingers on the subject’s wrist at distinct radial pulse point locations. The preliminary studies confirm that the wrist pulse signals were analyzed using various conventional linear techniques and very less focus on non-linear techniques. Hence, the main focus of this paper is to apply Recurrence Plot and Recurrence Quantification Analysis (RQA), a nonlinear technique to analyze the wrist pulse signals for distinguishing between diabetic and non-diabetic subjects. The wrist pulse signals were acquired from the subjects during the morning hours and were analyzed using RQA techniques. It is seen that there is a significant difference in the RQA parameters of the wrist pulse signals since these parameters are associated with the recurrences occurring in the phase space plots of the wrist pulse signals. The results show that there is a positive correlation between the positions of wrist pulse signal for each of the RQA parameters applied. It was found that recurrence parameters like entropy, divergence and diagonal line length showed significant variations with p<0.001 for diabetic and non-diabetic subjects. Therefore, it can be concluded that RQA parameters can be used as an effective technique to identify diabetic and non-diabetic subjects and thus may be applied on the wrist pulse signals for early detection of various diseases.

Application of Data Analytics in Building a Game Theory Model for Social Networking Sites

2021-08-26T10:23:50+00:00

The application under this research work is an extended form of the previous study performed on two giants of the social networking sites viz. Facebook and Instagram. This study includes the perception of young generation towards these two social networking sites. For this, a homogeneous group of students on a local college campus are used as the sample. An additional feature of Interoperability which plays an important role in exchange and make use of information between these two platforms generates a 8x8 game theory model. The study begins with the data analytical tools based on the survey of the students. The reliability of the questionnaire, formed on the basis of interactive parameters, is tested by using an appropriate reliability test-Cronbach's alpha test. The graphical and descriptive statistics gives the initial trends among the students. The regression analysis is carried out for all the combinations of eight parameters of both Facebook and Instagram, where the intercept data is collected as payoff values. This leads to the formation of the two player Game theory model. As the final result, the optimum strategies of each player and the value of the game is calculated. The interpretation of the calculated values reflect the influence of decision making for the optimum strategies under the game theory model.

Do Horoscopes Influence the Process of Language Learning? A Model-Based Research Report Theme: Astronomy Scientific Findings

2021-08-26T10:26:34+00:00

As teachers of language it is our common experience that we have to incorporate a plethora of teaching methodologies in our classroom situations. One specific way of teaching may not be suitable for the learners with different learning preferences and it may not always be receiving bouquets but brickbats too. Sometimes we even go to such a stage of contemplation that whether it is destiny which decides upon their learning potentiality. The main aim of the current study is to explore the relevance between the learners’ horoscopes and learning abilities indicated in Reid’s Perceptual Styles Questionnaire. And, in doing so it studied the variation in learners’ preferences and their attitudes towards Language learning based upon the predictions made in their horoscopes. The parameters taken into consideration for testing their language abilities were Communication, Reading skills and Writing skills. Standardized Model Tests (GRE, TOEFL) were conducted to evaluate their performances and later their performance scores were matched with the predictions made in their horoscopes. Interestingly 90% of the results indicated that the students’ performances matched with the learning styles and preferences predicted in their horoscopes. Though the study needs further implications, it is believed that it provides the teachers with the ability of classifying a mixed-ability classroom and designing relevant tasks to suit the learners’ interests.

Rekindling the Glory of Islamic Scholar Inventions through Next Generation Worshipping Product Innovations

2021-08-26T10:32:26+00:00

The heyday of Islam began as early as the middle of the 7^thcentury and once again proved that Islamic science was the forerunner of all kinds of creations and innovations in science and technology. However, today, we see Muslims struggling to make a name for themselves in pioneering science and technology. It should not be so since many of the creations enjoyed today are based on inventions from Islamic civilizations rather than Western ones. Therefore, to restore the past glory, a new plan must begin from now. Among others, through the development of worship products for the use of Muslims worldwide. Studies have shown that efforts to produce tangible products are still low due to the increased focus on non-tangible products such as banking systems, health, and beauty products. Therefore, to ensure the idea of developing this worship product is clearly understood, several examples of existing worship products are presented and discussed regarding their weaknesses from a design perspective. Five examples of the latest innovative products designed specifically for the needs of Muslims are described. The rationale for the need for innovations in worship products is also statistically discussed in light of the rapid growth of Muslims, with over 1.6 billion Muslims. Furthermore, as many as nine groups of worship products have the potential to develop, such as products for prayer, knowledge gathering, pilgrimage, and umrah. Finally, the design features that need to be considered for developing next-generation worship products to meet customer and market needs are also discussed. The results of this research are intended to raise awareness to the world about the golden age of Islamic science and that this innovation is still relevant today. Innovation is a catalyst for high-income economic development. In this regard, developing and producing innovative worship products can generate wealth to improve the quality of life of Muslims worldwide. Such is the initiative introduced by the professional design team in Faculty of Innovative Design and Technology (FRIT) at Universiti Sultan ZainalAbidin (UniSZA) Malaysia that has developed a range of Islamic conceptual products. Based on the results of the observation technique during the pilot test, conducted in many states across the country, there are several issues that need to be resolved namely that Muslims in Malaysia desperately need innovative products that can help them to worship consistently and confidently. This means that there are still no well-built innovative Islamic-based products available in the local market. As such, the Muslim demographic group in the country as well as around the world, comprising senior citizens, adults, teens and children will be able to enjoy the contributions produced by FRIT at UniSZA.

Adaptive Block Memory Management for Spatial and Temporal Locality in Flash Based Storage Systems: Advanced Study

2021-08-26T10:51:39+00:00

The shifting of cold clean pages and hot dirty pages along with the inner sets of the cold dirty and the hot clean pages is emphasized in the adaptive predictive clean least recently used technique, but it fails in exploring more on the spatial contents rather than sticking more in the temporal locality maintenance. In that, the concepts of hot page, clean, cold and dirty page management is presented with an efficient kind whose benefits are utilized in the global adaptive algorithm also in both spatial locality and temporal locality management. The role of the three issues in erase, read, write and their interlinks with page transaction from the data buffer cache to the flash translation layer, which is shown in virtual presentation but proves its essence in more nearest way in address mapping, and with the flash storage is implemented using a flash sim simulator version from the very first block padding lru clean first lru or may it be the cold clean first technique. The clear point of growth in each of the sequenced algorithms is simulated at suitable memory sizes showing the prior to latter enhanced may it be in the cluster management or may it be the creation of necessary list like hot list or cold list or key data list. The suggestive solutions have been proved with acceptable solutions and also laid away some more improvable steps to still reduce the speed gaps in the symmetry of the two major issues. The techniques are near to precise in lowering and minimizing the number of times of addressing during the cache handling to efficiency with respect to reducing the erases.

Achievements of Truss Models for Reinforced Concrete Structures: Advanced Study

2021-08-26T10:58:11+00:00

Achievements are presented for truss models of RC structures developed in previous years: 1. Two constitutive models, biaxial and triaxial, are based on regular trusses, with bars obeying nonlinear uniaxial σ-ε laws of material under simulation; both models have been compared with test results and show a dependence of Poisson ratio on curvature of σ-ε law. 2. A truss finite element has been used in the nonlinear static and dynamic analysis of plane RC frames; it has been compared with test results and describes, in a simple way, the formation of plastic hinges. 3. Thanks to the very simple geometry of a truss, the equilibrium equations can be easily written and the stiffness matrix can be easily updated, both with respect to the deformed truss, within each step of a static incremental loading or within each time step of a dynamic analysis, so that to take into account geometric nonlinearities. So the confinement of a RC column is interpreted as a structural stability effect of concrete. And a significant role of the transverse reinforcement is revealed, that of preventing, by its close spacing and sufficient amount, the buckling of inner longitudinal concrete struts, which would lead to a global instability of the RC column. 4. The proposed truss model is statically indeterminate, so it exhibits some features, which are not met by the “strut-and-tie” model.

Performance Assessment of Green Rated Built Environment Using Post Occupancy Evaluation: New Perspectives

2021-08-26T11:01:17+00:00

Green Building Rating System is one of the important mechanisms developed in last few decades worldwide to achieve sustainability in Built Environment life cycle. The early generations of Green Rated Built Environment from India have occupied for several years now. Therefore, it has become inevitable to assess whether these Built Environment are living up to expectations in their objective terms. Post Occupancy Evaluation is a process of systematic monitoring of building's performance with predefined parameters and objectives after it is occupied for few years. Present research focuses on assessment of Green Rated Built Environment on the basis of Performance Parameters. Indoor Environmental Quality (IEQ) and Energy Efficiency are two Performance Parameters identified for present research. Seven Green Rated Institutional/office projects have been selected for Post Occupancy Evaluation. Indian Green Building Council (IGBC) has rated three projects and Green Rating for Integrated Habitat Assessment (GRIHA) has rated remaining four projects. All seven Green Rated Built Environments are located in warm and humid climatic zone of India. Questionnaire Survey, on site measurement of Indoor Environmental Quality parameters and Energy Consumption Records are selected as a tool to assess performance of Green Rated Built Environment. The outcome of Post Occupancy Evaluation implemented on identified Green Rated Built Environment establishes a fact that award of Green Rating to a Built Environment will only achieve its sustainability objective if performance of Green Rated Built Environment is periodically monitored and validated with respect to identified parameters and their local standard provisions.

Hybrid Multilevel SMTC/STTC Modulation for Fast Fading MIMO Channel

2021-08-26T11:41:23+00:00

In this chapter, a new Hybrid Multilevel Modulation (HML) technique using Trellis based Spatial Modulation (SM-TC) scheme and Space Time Trellis Coding (STTC) scheme as component code is analyzed which exploits the advantage of both in an optimal way. In this method, antenna grouping technique is used and the group is selected based on the Trellis based spatial modulation (SMTC) (Basar et al 2011a). Using this technique, MIMO system can be designed with any number of transmit antennas. The system is analyzed with optimal Viterbi decoding and suboptimal sequential decoding algorithm and compared with equivalent MLSTTC and MLSM schemes. Further, the performance of the HML system is analyzed with branch metric computation based on Maximum Likelihood (ML) criteria and Multi Resolution Modulation (MRM) technique. The HML system using low complex branch metric calculations based on the MRM scheme with sequential decoding gives improved performance compared to equivalent MLSTTC over fast flat fading uncorrelated channel conditions with 12.5% reduced computations.

An Optimized Architecture for Adaptive Digital Filter: Advanced Study

2021-08-26T11:48:00+00:00

In this paper, we propose an efficient adaptive FIR filter architecture using a single multiplier and adder irrespective of number taps using the concept of time sharing multiplier architecture. For efficient optimization of multiplier architectures, Output Product Coding and parallel pipelined multiplier are applied. The proposed Adaptive FIR filter architecture is implemented for 32-tap using Verilog and synthesized using XILINX VIRTEX-5 FPGA device. The results are validated using FPGA in Loop (FIL), where simulation is done using MATLAB/Simulink-xPC target tool box. This design provides substantial area reduction compared to the conventional Adaptive FIR filter architectures for the FPGA implementation. The proposed Adaptive FIR filter supports up to 323 MHz input sampling frequency for FPGA implementation.

A Comparative Analysis of Two Stage and Folded Cascode Bulk Driven OTA in 0.18um CMOS Process

2021-08-26T11:51:25+00:00

This paper presence a comparative analysis of two stage and folded cascode bulk driven operational trans conductance amplifier (OTA) topologies for biomedical applications are presented. A two stage bulk driven OTA and Folded cascoded OTA operated with a 1Vpower supply. Bulk-driven PMOS-transistors as an input differential opamp provides high input common-mode range (CMR). To achieve low power consumption all transistors must be operated in sub threshold region. The test results are carried out in standard gpdk180nm CMOS technologies.

Hierarchical Self Organizing Maps for Reusability Measurement and Performance Metrics Assessment of Software Components

2021-08-26T11:54:16+00:00

In the product business, it is fundamental that reduction time and endeavors in programming improvement. Programming reusability is a significant measure to improve the advancement and nature of programming. Improving reusability will diminish conveyance time of programming items, diminishes the improvement exertion and furthermore programming mistakes and cost of advancement procedure. Programming reuse is the best arrangement factor to secure the current information from the programming distribution warehouse. Estimating the reusability level of the product is fundamental to accomplish the objectives of reuse. Information mining is the way toward extracting helpful patterns and breakdown data sets from huge information collections. The reusability of a product segment picks the correct estimation and upgrades the certainty of a function for reuse. The software metrics are utilized as quantitative measures to set up and assess the parts. In this paper estimating the product reusability utilizing several classification algorithms on a particular programming reuse data set are connected. The framework is actualized utilizing the R information mining tool and execution of the computerized framework is created for reusability expectation like accuracy, review, f-measure. The test result demonstrates the representation can be viably utilized wasteful, precise, and speedier and is financial for distinguishing proof of reusable parts from the current programming assets. This document seeks to gives comparative analysis of H-SOM and Naïve Bayes algorithm classifiers of Dengue datasets.