A complementary metal oxide semiconductormicro electro-mechanical systems (CMOS-MEMS) platform is applicable for integrating MEMS resonators and CMOS integrated circuits on a single chip. This provides a monolithic connection of MEMS with... more
A complementary metal oxide semiconductormicro electro-mechanical systems (CMOS-MEMS) platform is applicable for integrating MEMS resonators and CMOS integrated circuits on a single chip. This provides a monolithic connection of MEMS with electronics. With this integration, different configurations of monolithically integrated MEMS resonators and CMOS amplifiers have been developed for commercial multi user purpose. It also provides variety of design flexibilities for resonator applications. In this paper, the design and analysis of a 2. 14MHz MEMS beam resonator for Colpitts crystal oscillator circuit is presented. A MEMS beam resonator is designed to function as an oscillator. The proposed MEMSColpitts oscillator circuit can generate 1 to 5MHz clocks, when operated in different modes. This oscillator works specifically on 2. 14MHz by macro model extraction for $9^{\mathrm{t}\mathrm{h}}$ mode only. The beam resonator requires approximately $10\mathrm{V}_{\mathrm{d}\mathrm{c}}$ to operate. The actuation was simulated in IntelliSuite (thermo-electro mechanical module). A macro model of resonator is extracted by using system model extraction (SME) and utilized in electrical circuit of Colpitts crystal oscillator. The comparison with other research works is also presented.
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The current study investigates the role of Phoenix Dactylifera L. (date palm) seeds as an effective biosorbent for removing Zn+2, a toxic heavy metal pollutant usually found in the waste streams of industries like fertilizer, mining and... more
The current study investigates the role of Phoenix Dactylifera L. (date palm) seeds as an effective biosorbent for removing Zn+2, a toxic heavy metal pollutant usually found in the waste streams of industries like fertilizer, mining and galvanizing etc. Date palm seeds were washed, dried, crushed in 170-300 um and modified by acidic treatment (0.1 MHNO3). The effect of most important parameters i.e., pH (3.5-6.1), initial zinc ion concentration (5-100mg/l), biosorbent dosage (0.1-1g) and contact time (0.5-60sec) have been studied via design expert software (version 8.0.6) of response surface methodology. The Box-Bhenken Design (BBD) was used in Response Surface Methodology (RSM) for designing the experiments and a number of 29 experiments were run. The model suggested by the design expert software was quadratic as it had maximum R2- value (0.9235) which indicated that the predicted values of quadratic model were best fitted to the experimental values. The significance of the factors...
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Activity recognition has taken an important role in smart devices and has a wide range of applications. Traditional approaches to activity recognition either require the target to carry electronic sensors or require dedicated devices such... more
Activity recognition has taken an important role in smart devices and has a wide range of applications. Traditional approaches to activity recognition either require the target to carry electronic sensors or require dedicated devices such as software-defined radios, which may not be feasible in many situations. This paper provides an overview of device-free activity recognition techniques and proposes a convolutional neural network-based approach for classifying different human activities by leveraging the channel state information (CSI) obtained using off-the-shelf hardware. The design and implementation of the deep learning framework, to classify activities in a live scenario, are also discussed. The results show that, in controlled environments, a high activity recognition accuracy can be achieved using CSI and that the framework can also be implemented in live scenarios.
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Makalah ini menguraikan tentang hasil penelitian tingkah laku ikan di sekitar daerah pencahayaan selama proses penangkapan melalui pendekatan akustik. Tujuan studi adalah mengidentifikasi pola tingkah laku ikan yang berhubungan dengan... more
Makalah ini menguraikan tentang hasil penelitian tingkah laku ikan di sekitar daerah pencahayaan selama proses penangkapan melalui pendekatan akustik. Tujuan studi adalah mengidentifikasi pola tingkah laku ikan yang berhubungan dengan operasi penangkapan ikan yang menggunakan cahaya. Secara khusus akan dianalisis pola sebaran ikan sebelum dan setelah proses penangkapan, pola kedatangan ikan dan pola tingkah laku ini di sekitar sumber pencahayaan. Penelitian dilakukan di perairan Kabupaten Barru, Selat Makassar (4° 19’ 19,9" Lintang Selatan – 119° 16’ 201" Bujur Timur) dengan menggunakan instrumen side scan sonar. Analisis deskriptif dilakukan untuk menjelaskan pola tingkah laku ikan pada daerah yang disinari. Hasil penelitian menunjukkan kawanan ikan akan ada yang langsung menuju ke sumber cahaya dan ada yang tidak, dan datang pada berbagai kedalaman tergantung pada kedalaman renangnya masing-masing. Kecepatan gerak kawanan ikan mendekati bagan berkisar 0,57 m/detik dan d...
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Perilaku petani kelapa sawit yang menerapkan praktek pertanian yang baik tentunya akan memperbaiki produksi dan pendapatan. Dimana perilaku ini didasari oleh motivasi di petani itu sendiri. Tujuan penelitian Untuk menganalisis... more
Perilaku petani kelapa sawit yang menerapkan praktek pertanian yang baik tentunya akan memperbaiki produksi dan pendapatan. Dimana perilaku ini didasari oleh motivasi di petani itu sendiri. Tujuan penelitian Untuk menganalisis pengaruh motivasi ekonomi dan motivasi sosiologi terhadap perilaku petani kelapa sawit di Kecamatan Simpang Jernih Kabupaten Aceh Timur. Penelitian ini dilakukan dengan menggunakan metode secara sengaja ( Purposive ) dengan Sampel sebanyak 52 petani. Alat analisis yang digunakan adalah regresi linier berganda. Hasil penelitian menunjukkan bahwa motivasi ekonomi berpengaruh terhadap perilaku petani kelapa sawit sedangkan motivasi sosiologis tidak berpengaruh terhadap perilaku petani kelapa sawit di Kecamatan Simpang Jernih. Kata kunci : Motivasi, Ekonomi, Sosiologi, Perilaku Kelapa Sawit.
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Hasil penelitian menunjukkan bahwa pengetahuan gizi ibu (p = 0,033) pendapatan keluarga (p = 0,040), dan kebiasaan makan (p = 0,000) siswa terdapat hubungan yang bermakna dengan status gizi siswa. Sedangkan besar uang saku (p=0,459),... more
Hasil penelitian menunjukkan bahwa pengetahuan gizi ibu (p = 0,033) pendapatan keluarga (p = 0,040), dan kebiasaan makan (p = 0,000) siswa terdapat hubungan yang bermakna dengan status gizi siswa. Sedangkan besar uang saku (p=0,459), jumlah anggota keluarga (p = 0,886) dan aktivitas fisik (p = 0,089) tidak terdapat hubungan dengan status gizi siswa. Kesimpulan dari penelitian ini menunjukkan bahwa terdapat hubungan yang signifikan pengetahuan gizi ibu, pendapatan keluarga dan kebiasaan makan siswa dengan status gizi siswa. Besar uang saku, jumlah anggota keluarga dan aktivitas fisik tidak terdapat hubungan dengan status gizi siswa. Disarankan kepada pihak sekolah agar menggiatkan kembali monitoring status gizi anak sekolah terutama siswa sekolah dasar untuk memantau pertumbuhan dan perkembangan status gizinya. Hal ini dapat dilakukan melalui Program Usaha Kesehatan Sekolah (UKS) yang telah ada.
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For sediment management from an ecological point of view, it is essential to evaluate the quantitative and qualitative changes of riverbeds. Particularly the importance of assessing the change in void structure of bed material has... more
For sediment management from an ecological point of view, it is essential to evaluate the quantitative and qualitative changes of riverbeds. Particularly the importance of assessing the change in void structure of bed material has recently been pointed out. Some bed variation models ...
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The Plant Propagation Algorithm, epitomised by the Strawberry Algorithm, has been previously successfully tested on low dimensional continuous Optimization problems. It is a neighbourhood search algorithm. In this paper, we introduce a... more
The Plant Propagation Algorithm, epitomised by the Strawberry Algorithm, has been previously successfully tested on low dimensional continuous Optimization problems. It is a neighbourhood search algorithm. In this paper, we introduce a robust and efficient version of the algorithm and explain how it can be implemented to compete with one of the best available alternatives, namely the Artificial Bee Colony algorithm and we present an improved and more effective variant on standard continuous optimization test problem instances in high dimensions. Computational and comparative results are included.
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In this paper, the problem of temperature distribution for convective straight fins with constant and temperature-dependent thermal conductivity is solved by using artificial neural networks trained by the biogeography-based heterogeneous... more
In this paper, the problem of temperature distribution for convective straight fins with constant and temperature-dependent thermal conductivity is solved by using artificial neural networks trained by the biogeography-based heterogeneous cuckoo search (BHCS) algorithm. We have solved the integer and noninteger order energy balance equation in order to analyse the temperature distribution in convective straight fins. We have compared our results with homotopy perturbation method (HPM), variational iteration method (VIM), and homotopy perturbation Sumudu transform method (HPSTM). The results show that the ANN–BHCS algorithm gives better results than other analytical techniques. We have further checked the efficiency of the ANN–BHCS algorithm by using the performance metrics MAD, TIC, and ENSE. We have calculated the values of MAD, TIC, and ENSE for case 1 of the problem, and histograms of these metrics show the efficiency of our algorithm.
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Efficient task scheduling is required to attain high performance in both homogeneous and heterogeneous computing systems. An application can be considered as a task grid represented using a Directed Acyclic Graph (DAG). Solving such DAG... more
Efficient task scheduling is required to attain high performance in both homogeneous and heterogeneous computing systems. An application can be considered as a task grid represented using a Directed Acyclic Graph (DAG). Solving such DAG representing a scheduling problem is an NP-complete task. The primary concern in this problem domain is to reduce the schedule length with minimum complexity. This work presents a Hybrid List-based Task Scheduling using Duplication Scheme (HLTSD) algorithm for heterogeneous processors. The proposed HLTSD algorithm has the same time complexity as that of the recent state-of-the-art algorithms. However, it produces a minimum cost schedule in comparison with other related methods. This work also presents a mathematical formulation to find task priorities. The processor selection phase is improved by utilizing the techniques, like entry task duplication, insertion-based policy, duplication of parent task on other levels, and balancing the load on each processor. The current proposal minimizes the overall makespan of execution by reasonable levels. Performance of the proposed algorithm is evaluated using DAGs adopted from various state-of-the-art algorithms, real-world problems, like Gaussian elimination (GE) and fast Fourier transformation (FFT) task graph and randomly generated graphs with diverse characteristics. The proposed scheme is compared with four state-of-the-art list-based scheduling algorithms, namely Heterogeneous Earliest Finish Time (HEFT), Predict Earliest Finish Time (PEFT), Heterogeneous Scheduling with Improved task Priority (HSIP), and Task Scheduling for Heterogeneous Computing Systems (TSHCS). Based on the best quality schedule, the obtained results suggest that HLTSD has better results in 87% cases.
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In this paper, a mathematical model for wire coating in the presence of pressure type die along with the bath of Oldroyd 8-constant fluid is presented. The model is governed by a partial differential equation, transformed into a nonlinear... more
In this paper, a mathematical model for wire coating in the presence of pressure type die along with the bath of Oldroyd 8-constant fluid is presented. The model is governed by a partial differential equation, transformed into a nonlinear ordinary differential equation in dimensionless form through similarity transformations. We have designed a novel soft computing paradigm to analyze the governing mathematical model of wire coating by defining weighted Legendre polynomials based on Legendre neural networks (LeNN). Training of design neurons in the network is carried out globally by using the whale optimization algorithm (WOA) hybrid with the Nelder–Mead (NM) algorithm for rapid local convergence. Designed scheme (LeNN-WOA-NM algorithm) is applied to study the effect of variations in dilating constant (α), pressure gradient (Ω), and pseudoplastic constant β on velocity profile w(r) of fluid. To validate the proposed technique's efficiency, solutions and absolute errors are compared with the particle swarm optimization algorithm. Graphical and statistical performance of fitness value, absolute errors, and performance measures in terms of minimum, mean, median, and standard deviations further establishes the worth of the designed scheme for variants of the wire coating process.
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Dynamic branch prediction is a hardware technique used to speculate the direction of control branches. Inaccurate prediction will make all speculative works useless while accurate prediction will significantly improve microprocessors... more
Dynamic branch prediction is a hardware technique used to speculate the direction of control branches. Inaccurate prediction will make all speculative works useless while accurate prediction will significantly improve microprocessors performance. In this work, we have shown that Genetic Algorithm (GA) can be used to select (near) optimal parameters for branch predictors in most cases. The GA-enhanced predictors take time to find suitable parameters, but once the values of these parameters are determined, the GA-enhanced predictors take the same time to execute as the basic predictors with increased accuracy.
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Research Interests: Computer Science and IEEE
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The study of the research is to analysis of drift gillnet, operated for flying fish capture in Majene district coastal water, during four mounths from June to September 2008. Data was collested in ten time fishing operation for two... more
The study of the research is to analysis of drift gillnet, operated for flying fish capture in Majene district coastal water, during four mounths from June to September 2008. Data was collested in ten time fishing operation for two diffrent mesh size of net (1.25 and 1.50 inch). Selectivity gear analysed by Spare and Venema (1989) formula. The result of data analyses shown that: (1) selectivity of drift gillnet that operating is quite similar with the selectivity of gillnet that proposed, and (2) mesh size of drift gillnet for flying fish capture was carrelated to the size composation (body girth) of catch
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This paper presents the solution of directional overcurrent relay (DOCR) problems using Simulated Annealing based Symbiotic Organism Search (SASOS). The objective function of the problem is to minimize the sum of the operating times of... more
This paper presents the solution of directional overcurrent relay (DOCR) problems using Simulated Annealing based Symbiotic Organism Search (SASOS). The objective function of the problem is to minimize the sum of the operating times of all primary relays. The DOCR problem is nonlinear and highly constrained with two types of decision variables, namely, the time dial settings (TDS) and plug setting (PS). In this paper, three models of the problem are considered, the IEEE 3-bus, 4-bus, and 6-bus, respectively. We have applied SASOS to solve the problem and the obtained results are compared with other algorithms available in the literature.
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Computer simulations play a very important role in the fields of science, engineering and technology. In the field of nuclear engineering, computer simulations help save tremendous amount of time, money and reduce unnecessary exposure to... more
Computer simulations play a very important role in the fields of science, engineering and technology. In the field of nuclear engineering, computer simulations help save tremendous amount of time, money and reduce unnecessary exposure to radiations. Development of new tools and methodologies need to be verified against trusted benchmarks. Benchmarks not only validate the tools but help users gain confidence of using those tools to obtain accurate results. In this study, Benchmark for Evaluation And Validation of Reactor Simulations (BEAVRS) set up by Computational Reactor Physics Group (CRPG) of Massachusetts Institute of Technology (MIT) is modelled using open source Monte Carlo based code OpenMC. Monte Carlo based reactor physics code offer the benefit of exact 3D geometry along with continuous energy treatment as compared to homogenized geometry and multi-group treatment used in deterministic transport theory and diffusion theory based codes. Integral reactor physics parameters are calculated and compared with the reported benchmark values. This academic exercise will help gain expertise and confidence in the use of OpenMC code and also help to analyse/forecast the computational resources for such calculations.
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The seasonal production of fruit and seeds is akin to opening a feeding station, such as a restaurant. Agents coming to feed on the fruit are like customers attending the restaurant; they arrive at a certain rate and get served at a... more
The seasonal production of fruit and seeds is akin to opening a feeding station, such as a restaurant. Agents coming to feed on the fruit are like customers attending the restaurant; they arrive at a certain rate and get served at a certain rate following some appropriate processes. The same applies to birds and animals visiting and feeding on ripe fruit produced by plants such as the strawberry plant. This phenomenon underpins the seed dispersion of the plants. Modelling it as a queuing process results in a seed-based search/optimisation algorithm. This variant of the Plant Propagation Algorithm is described, analysed, tested on nontrivial problems, and compared with well established algorithms. The results are included.
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Research Interests: Engineering, Water Resources Management, Neural Network, Multidisciplinary, Artificial Neural Networks, and 13 moreComputer Model, New Car Model Design, Water resource management, Root-Mean Square Error, Forecasting for Arima Model, Water Resource, Indexation, Water Level, Sigmoid Function, Data Validation, Artificial Neural Network, Forecast Accuracy, and multi layer perceptron
Optimisation problems arising in industry are some of the hardest, often because of the tight specifications of the products involved. They are almost invariably constrained and they involve highly nonlinear, and non-convex functions both... more
Optimisation problems arising in industry are some of the hardest, often because of the tight specifications of the products involved. They are almost invariably constrained and they involve highly nonlinear, and non-convex functions both in the objective and in the constraints. It is also often the case that the solutions required must be of high quality and obtained in realistic times. Although there are already a number of well performing optimisation algorithms for such problems, here we consider the novel Plant Propagation Algorithm (PPA) which on continuous problems seems to be very competitive. It is presented in a modified form to handle a selection of problems of interest. Comparative results obtained with PPA and state-of-the-art optimisation algorithms of the Nature-inspired type are presented and discussed. On this selection of problems, PPA is found to be as good as and in some cases superior to these algorithms.
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Mt. Merapi is one of the most active volcanoes in the world and located at 30 km north-northeast from Yogyakarta, Indonesia. A large amount of sediment supply from Mt. Merapi area is serious threat to people, but works also as an... more
Mt. Merapi is one of the most active volcanoes in the world and located at 30 km north-northeast from Yogyakarta, Indonesia. A large amount of sediment supply from Mt. Merapi area is serious threat to people, but works also as an important natural resource for ...
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Diverse applications of polymeric materials have prompted development of eco-friendly, efficient, and economical materials. These characteristics can be obtained by incorporating appropriate fillers in the polymeric matrix. The objective... more
Diverse applications of polymeric materials have prompted development of eco-friendly, efficient, and economical materials. These characteristics can be obtained by incorporating appropriate fillers in the polymeric matrix. The objective of this work is to investigate impact of aqueous glycerol (Gly) treated rice husk (RH) on surface mechanical properties of produced biocomposites. RH was treated with aqueous Gly (75 wt%) and compounded with low density polyethylene (LDPE) at different loadings (10, 20, and 30 wt%). The resulting mixture was thermally pressed in molds to fabricate biocomposites. Surface mechanical properties such as elastic modulus, hardness, creep rate, and plasticity of biocomposites reinforced with untreated and treated RH were investigated using nanoindenter. Experimental values depicted that hardness (H) and elastic modulus (Es) of treated biocomposites were higher than untreated ones. Treated biocomposites showed the noticeable improvement in elastic modulus b...