Miracle-dz/UniFAR-FTUs huggingface dataset:
Fiber distributed-feedback lasers and dispersion compensators

Fiber Bragg Gratings (FBGs) are high-performance versatile devices that have had a major impact on different ares of optical fiber technology. Their unique filtering and dispersion properties allow them to be used in DFB and DBR fiber laser, wavelength-stabilized semiconductor lasers, gain-flattened EDFAs, Raman amplifiers and lasers, dispersion-compensators and add/drop multiplexers. We report some of the latest advances in the area of grating fabrication, fiber grating dispersion-compensators and all- fiber DFB lasers and address how our improved dispersion- compensating gratings have a performance close to that theoretically predicted.
MPDHD-A Handover Decision Scheme for Seamless Connectivity in Wireless Network

Handover is one of the major concerns arising in wireless network due to increasing demand of services by the customers. Different studies have been performed to attain a seamless handover. Researchers are implementing novel technologies so that efficient decision can be made to maintain effective communication. Multilayer feed forward artificial neural network has been implemented in a recent study in which Received Signal strength indicator (RSSI), monetary cost, Data rate and Velocity of mobile users in the network are taken into account for handover decision in wireless network. Due to several limitations of this technique, a novel method- Multiple parameters dependent Handover decision (MPDHD) is presented in which Sugeno fuzzy model is amalgamated with neural network to form an intelligent system. In the system, neural network is trained by the fuzzy model which reduced the complexity of the existing work. Also along with the parameters used in existing work, a new user metric-Load is introduced to check the availability of the base station with minimum load of users connected to it. The simulation of the proposed work is carried out in the MATLAB environment. From, the experimental results, it is concluded that MPDHD is better than existing approaches and reduced the handover probability in the network.
Locomotion Gait Design of an Earthworm-Like Robot Based on Multi-Segment Fluidic Flexible Matrix Composite Structures

In this research, a concept of earthworm-like robot with fluidic flexible matrix composite (F2MC) segments as its actuators is investigated. It explores a novel application of F2MC in the bionics field. Firstly, a general kinematics model of robot with earthworm-like locomotion is developed. Based on this model, the locomotion mechanism is analyzed in order to determine the actuation performance requirement for the F2MC segment. Then an analytical model of the F2MC segment is adopted to estimate the finite deformation under internal pressurization. By doing so, the optimal configuration of the F2MC segment that meets the requirements as an actuator is determined. A conceptual design of the earthworm-like robot based on F2MC segment is presented. After that, robotic gaits are constructed based on the kinematic locomotion mechanism with some necessary physical assumptions. Directed locomotion can be achieved based on the constructed gaits. Aiming at increasing the average velocity and motion efficiency of the robot, locomotion gaits are optimized. Optimal gaits corresponding to the maximal velocity and maximal locomotion efficiency are obtained, respectively.Copyright © 2013 by ASME
Implementing high-order continuity and rate dependence in SPICE models

Two proposed techniques simplify and improve the implementation of SPICE device models. The first technique uses nested transformation of node potentials. It avoids the discontinuity in high-order derivatives that is typical of implementations that use conditional functions. This provides the smooth mathematical form distortion and intermodulation improves simulator convergence. The second technique uses state variables to implement descriptions of rate dependent and thermal transient behaviour. This simplifies model implementation by eliminating the need for extra circuit nodes. The paper demonstrates the proposed techniques by describing the implementation of an advanced MESFET model. The techniques will provide models that can simulate the intermodulation and transient behaviour of high-performance communication and signal processing circuits.
Design and Implementation of Web-Based Archive Dispatching Management System

University graduate archives are very important to graduates, but for now, there exist a number of problems in archive management, especially in archive dispatching. This paper proposes a web-based graduate archive dispatching management system, and introduces the process of system analysis and design from system modules, system framework and key technologies used in this system. Finally, it summarizes the subsequent directions of deep research and improvement.
Challenges and trends in the allocation of the workforce in manufacturing shop floors

This paper presents a critical and focused review of definitions, challenges and developments of the workforce allocation system in manufacturing shop floors with a particular emphasis on response to changes and disturbances. The continuously changing requirements in production environments have been the driving force behind several stages of evolution experienced by management of workforce allocation. The paper includes an in-depth examination of the phenomena of changes and disturbances in the production shop floor. This is followed by an assessment of the readiness of workforce allocation systems to respond to such events with respect to both workforce perception and system architecture. Recent developments of the workforce allocation models suggest that the use of intelligent and distributed systems and techniques offer solutions that are responsive, flexible, and multi-criteria. To this end, an overview of a recent study in the application of the principles of holonic manufacturing systems, as an example of intelligent system approach to develop a flexible workforce allocation model, is presented.
A novel multilayered cross‐coupled substrate‐integrated waveguide (SIW) circular cavity filter in LTCC

A novel multilayered cross‐coupled substrate‐integrated waveguide (SIW) circular cavity filter is proposed in this letter. The filter is designed using standard low‐temperature co‐fired ceramic (LTCC) technology, with the fractional bandwidth of 0.25% obtained, can operate at 20 GHz and have two finite frequency transmission zeros at 19.51 and 20.51 GHz, respectively. Measured results show good agreement with simulated results and validate the structure of the proposed filter. © 2009 Wiley Periodicals, Inc. Microwave Opt Technol Lett 51: 1686–1689, 2009; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/mop.24435
Genetic population structure of the polkadot skate (Dipturus chinensis) around Japan, based on mitochondrial DNA sequences and polymorphic microsatellite loci

Email address for contact author: nyagi@nagasakiu.ac. jp Abstract—The genetic population structure of the polkadot skate (Dipturus chinensis) around Japan was examined by using mitochondrial (mt) cytochrome (cyt) b gene sequences and polymorphic microsatellite (simple sequence repeat [SSR]) loci. Results of phylogenetic analysis based on mt cyt b gene sequences reveal 2 major lineages, clades A and B. Clade A consists of populations in the Sea of Japan and the East China Sea. Clade B contains populations in the Pacific Ocean and is divided into 2 subclades, clades B1 and B2, which correspond to the populations along the southern and northern coasts of Japan, respectively. This genetic differentiation is also supported by results from SSR analysis. The divergence of clades A and B may reflect isolation of the East China Sea from the Pacific Ocean in the Early Pleistocene. After diverging from clade A, clade B might have extended its distribution northward along the Pacific coast of Japan and divided into clades B1 and B2 in the Middle Pleistocene. The polkadot skate is clearly structured into 3 genetically discrete populations around Japan that should be treated as independent management units for management of this species in the future.
Diversity and Distribution of Mid- to Late-Stage Phyllosomata of Spiny and Slipper Lobsters (Decapoda: Achelata) in the Mexican Caribbean

Achelata (Palinuridae and Scyllaridae) have a flat, transparent, long-lived planktonic larva called phyllosoma, which comprises multiple stages and has a duration from a few weeks (some scyllarids) to >20 months (some palinurids). The larval development of many Achelata occurs in oceanic waters, where conventional plankton nets usually collect the early- to mid-stages but not the later stages, which remain poorly known. We examined the diversity and distribution of mid- and late-stage phyllosomata in the oceanic waters of the Mexican Caribbean, where the swift Yucatan Current is the dominant feature. The plankton samples were collected at night with a large mid-water trawl in autumn 2012 (55 stations) and spring 2013 (34 stations). In total, we obtained 2599 mid- and late-stage phyllosomata (1742 in autumn, 857 in spring) of five palinurids (Panulirus argus, Panulirus guttatus, Panulirus laevicauda, Palinurellus gundlachi, Justitia longimana) and three scyllarids (Parribacus antarcticus, Scyllarides aequinoctialis, Scyllarus chacei). Overall, the mid-stages were ~2.5 times as abundant as the late stages. The palinurids far outnumbered the scyllarids, and P. argus dominated over all the other species, followed at a distance by P. guttatus. The densities of all the species were generally low, with no clear spatial pattern, and the phyllosomata assemblage composition greatly overlapped between seasons. These results suggest the extensive mixing of the organisms entrained in the strong Yucatan Current, which clearly favors the advection of the phyllosomata in this region despite the presence of some local sub-mesoscale features that may favor short-term retention.
A High Performance Current-Mode Instrumentation Amplifier with Level Shifter for Single Power Biomedical Applications

In this paper, a high performance current-mode instrumentation amplifier has been proposed with low noise, low power and high CMRR features. The proposed design can adjust the gain with an external resistor for the processing of various biomedical signals. To reduce the noise of the amplifier, two design methods including PMOS input and lateral pnp BJT input have been implemented to improve the prior arts. To meet the single power supply need, a biomedical voltage level shifter is also proposed for low cost CMOS implementation. Based on the post-layout simulation results, the presented current-mode amplifier achieves high CMRR over 120 dB, power consumption of 61 uW at 1.8-V supply using standard 0.18-um CMOS technology.
Modeling and simulating operating policies for manufacturing cells

This paper describes the development of a simulation system designed to study operating policies for discrete-part, batch-oriented manufacturing cells. Policies consist of protocols for controlling the flow of parts and workers. The need for a simulator arises from strong interactions between the configuration of system resources, part mix, worker assignment rules, and part dispatching rules. This makes analytical modeling and determination of effective universal design and operating rules difficult. The simulator has its basis in a general framework which can be used to describe operating policies. A policy is characterized by assigning appropriate values to a set of descriptive parameters. The system configuration is described by one set of parameters and operating policies by another. The framework representation of policies facilitates the development of the simulator through the application of design and analysis methods based on the Object-Oriented Programming paradigm.
Simulink® Modelling Of A Kite Wind Generator

This paper presents the simulation of a tethered lifting device for wind power generation using Simulink ® . An explanation of the underlying power extraction methodology will precede a description of the mathematical model. Heuristic controls are then developed to demonstrate net power generation using a tethered aircraft. This work serves as an in principal demonstration of wind power generation using a tethered aircraft.
Dust Net Generation Rate in a Poultry Layer House

Dust particle net generation rates, based on the particle concentration data obtained in a commercial poultry facility during a complete laying season of one flock of birds, were calculated and compared to published values. The layer house was mechanically ventilated with a housing capacity for 112,000 caged birds. Two seasonal (hot and cold) ventilation rates were used at different times during the 14 weekly sample periods that are included in this study. The daily lighting scheme in the house consisted of 17 lighted hours followed by 7 darkened hours.
Modeling and Analysis of the Grinding Parameters

Efficient grinding of structural ceramics requires judicious selection of operating parameters to maximize removal rate while controlling surface integrity. Grinding of ceramics is difficult because of its low fracture toughness, making it very sensitive to cracking. In the present work, experiments were carried out to study the effect of wheel parameters such as grain size and grinding parameters like depth of cut and feed rate on the surface roughness and surface damage. The significance of the grinding parameters on the selected responses is evaluated using analysis of variance. Mathematical statistics like “Minitab” is used to analyzed the grinding conditions for maximum material removal, using a multi-objective function model, by imposing surface roughness, surface force and surface damage constraints. The choice of including manufacturer & apposes constraints on the basis of functional requirements of the component for maximizing the production rate is also embedded in the Mathematical statistics. For the verification of present work, the Mathematical statistics results are compared with experimental work.
A Sealed System and Compressor Model for Optimal Control of Household Refrigerators

Increasingly stringent industry standards have posed significant challenges on manufacturers to enhance the design and performance of household refrigerators. One of the least expensive and most effective means of improving the system is optimizing the control strategy. Some of the most promising control systems, such as adaptive and optimal control methods, require an accurate model of the system to guide the control effort. However, the complexity and interconnectedness of thermal and refrigerant flow phenomena make developing modern control systems a particularly challenging aspect of designing refrigerators, in spite of many decades of research and development. There exist models to correlate the desired compartments’ temperatures to that of the evaporator coil. However, there is a lack of a general approach to translate the required evaporator temperature to a compressor speed that provides it in an energy efficient manner. This work introduces a method to make that connection. The technique developed in this work can be adjusted for implementation on various refrigerator sizes and platforms to help modulate and control the compressor speed in real time. © 2012 ASME
Stator winding fault diagnosis in three-phase synchronous and asynchronous motors, by the extended Park's vector approach

This paper describes the use of the extended Park's vector approach (EPVA) for diagnosing the occurrence of stator winding faults in operating three-phase synchronous and asynchronous motors. The major theoretical principles related with the EPVA are presented and it is shown how stator winding faults can be effectively diagnosed by the use of this noninvasive approach. Experimental results, obtained in the laboratory, corroborate that these faults can be detected, in the EPVA signature, by the identification of a spectral component at twice the fundamental supply frequency. On-site tests, conducted in a power generation plant and in a cement mill, demonstrate the effectiveness of the EPVA in the detection of stator circuit faults in large industrial motors, rated up to 5 MW.
Phylogenetic Tree Analysis of First Psychrobacter Sp. Strain From Blood of Iraqi Patient; A Case Report

Psychrobacter spp. are a Gram negative bacteria, aerobic, non-motile, small, with coccobacilli shape. Originally isolated from seaweed samples and marine environments. Recently considered as rare opportunistic human pathogens. Sixty –five years old women admitted to hospital with diabetic mellitus and stage 4 pressure ulcers (PU) with seizure and mild fever 37.9 °C. A gram staining of blood culture revealed gram negative bacteria have a cocobacilli shape. The VITEK2 system (bioMérieux) misidentify the isolate as Acinetobacter bumannii complex with low discrimination. The submission of the bacterial isolate to the GenBank BLAST search tool revealed that the Iraqi isolate show 100% homology with Psychrobacter sp. From china with accession number ID: MK205167.1, the next matches with Uncultured Psychrobacter sp. ( ID: KF859544.1 China) Psychrobacter pulmonis (ID: KU364058.1, India), Psychrobacter pulmonis (ID: MH550129.1, China)with 99% similarity for each one. This Psychrobacter sp. was the first isolate from bacteremia patients in Iraq. The identification based on 16S rRNA gene sequence for precisely identify this bacteria that misidentified by VITEK2 system.
Experimental Study of the Minto Engine - A Heat Engine for Converting Low Grade Heat to Mechanical Energy

The Minto engine is a liquid piston heat engine that converts heat energy into mechanical energy. Evaporation of the heated, volatile working fluid pushes it upwards against gravity. This causes the device to tip over and rotate. A 500 mm diameter Minto engine which used petroleum ether as the working fluid, was built and was operated between 344 K and 294 K. Thermal efficiencies of up to 0.25% (i.e. 1.7% of the Carnot maximum) were measured. This engine behaves as a power amplifier. It absorbs low grade heat over a long period of time and suddenly releases it as a pulse of mechanical energy over a short period of time.
The designated harmonic suppression for SPWM

SPWM is a critical method used in asynchronous motor-driven area. But harmonic components of inverter output wave impair its application in motor speed control. A new mixed algorithm was proposed for SPWM, which was a designated harmonic suppression technology by way of improved regular sampling in low voltage and low frequency and harmonic elimination in high voltage and high frequency. This algorithm was based on both analysis of sampled SPWM and Fourier series transform method and aimed at eliminating some odd harmonic components to obtain an identical sine wave. After explication of the harmonic elimination procedure and real time calculation process, an effective control mode and its control circuit were put forward so that the designated harmonic suppression made a reality. Applied it in whole speed adjusting range, the voltage can be conveniently controlled and high frequency harmonic components of SPWM are also improved.
Performance characteristics of a nanoscale double-gate reconfigurable array

The double gate transistor is a promising device applicable to deep sub-micron design due to its inherent resistance to short-channel effects and superior subthreshold performance. Using both TCAD and SPICE circuit simulation, it is shown that the characteristics of fully depleted dual-gate thin-body Schottky barrier silicon transistors will not only uncouple the conflicting requirements of high performance and low standby power in digital logic, but will also allow the development of a locally-connected reconfigurable computing mesh. The magnitude of the threshold shift effect will scale with device dimensions and will remain compatible with oxide reliability constraints. A field-programmable architecture based on the double gate transistor is described in which the operating point of the circuit is biased via one gate while the other gate is used to form the logic array, such that complex heterogeneous computing functions may be developed from this homogeneous, mesh-connected organization.
MONITORING SEVERE ACCIDENTS USING AI TECHNIQUES

After the Fukushima nuclear accident in 2011, there has been increasing concern regarding severe accidents in nuclear facilities. Severe accident scenarios are difficult for operators to monitor and identify. Therefore, accurate prediction of a severe accident is important in order to manage it appropriately in the unfavorable conditions. In this study, artificial intelligence (AI) techniques, such as support vector classification (SVC), probabilistic neural network (PNN), group method of data handling (GMDH), and fuzzy neural network (FNN), were used to monitor the major transient scenarios of a severe accident caused by three different initiating events, the hot-leg loss of coolant accident (LOCA), the cold-leg LOCA, and the steam generator tube rupture in pressurized water reactors (PWRs). The SVC and PNN models were used for the event classification. The GMDH and FNN models were employed to accurately predict the important timing representing severe accident scenarios. In addition, in order to verify the proposed algorithm, data from a number of numerical simulations were required in order to train the AI techniques due to the shortage of real LOCA data. The data was acquired by performing simulations using the MAAP4 code. The prediction accuracy of the three types of initiating events was sufficiently high to predict severe accident scenarios. Therefore, the AI techniques can be applied successfully in the identification and monitoring of severe accident scenarios in real PWRs.
CMOS Single Chip Gas Detection Systems — Part I

Sensor arrays based on industrial CMOS-technology combined with post-CMOS micromachining (CMOS MEMS) are a promising approach to low-cost sensors. In the first part of this article [1], the state of research on CMOS-based gas sensor systems was reviewed, and a platform technology for monolithic integration of three different transducers on a single chip was described. In this second part, the transduction principles of three polymer-based gas sensors are detailed and the read-out circuitry is portrayed. The first transducer is a micromachined resonant cantilever. The absorption of analyte in the chemically sensitive polymer causes shifts in resonance frequency as a consequence of changes in the oscillating mass. The cantilever acts as the frequency-determining element in an oscillator circuit, and the resulting frequency change is read out by an on-chip counter. The second transducer is a planar capacitor with polymer-coated interdigitated electrodes. This transducer monitors changes in the dielectric constant upon absorption of the analyte into the polymer matrix. The sensor response is read out as a differential signal between the coated sensing capacitor and a passivated reference capacitor, both of which are incorporated into the input stage of a switched capacitor second-order ΣΔ-modulator. The third transducer is a thermoelectric calorimeter, which detects enthalpy changes upon ab-/desorption of analyte molecules into a polymer film located on a thermally insulated membrane. The enthalpy changes in the polymer film cause transient temperature variations, which are detected via polysilicon/aluminum thermocouples (Seebeck effect). The small signals in the μV-range are first amplified with a low-noise chopper amplifier, then converted to a digital signal using a ΣΔ-A/D-converter and finally decimated and filtered with a digital decimation filter.