Miracle-dz/UniFAR-FTUs huggingface dataset:
A New Class of Distributed Prototype Filters with Applications to Mixed Lumped/Distributed Component Design

The distributed prototype filter consists of a cascade of shunt stubs of equal length alternating with uniform transmission lines, each of twice the stub length. If the stubs are open circuited, they may be replaced by lumped capacitors to synthesize a mixed lumped/distributed (L/D) filter having near optimum Chebyshev or Zolotarev characteristics. The rate of cutoff and the general character of the stopband region is predictable. The use of Zolotarev prototypes enables the impedance level within the filter to be controlled and gives greater selectivity. Designs suitable for either transverse electromagnetic (TEM) line or waveguide low-pass filters are presented. If the stubs are short-circuited, the prototype may be used to design quasi-high-pass or bandpass filters of very large bandwidth. An example is given of an inductive-iris-type filter of approximately 100-percent bandwidth for which previous theories have been unsuitable. The theory is capable of extension to more complicated mixed L/D structures containing both series and shunt elements.
Smart MUSIC algorithm for DOA estimation

The multiple signal classification (MUSIC) algorithm has been considered to be the most effective for direction-of-arrival estimation. However, MUSIC requires considerable computation. To reduce this computational load to the extent that the sensor array system may follow rapid changes in the radio environment. The author proposes the smart MUSIC (SMUSIC) algorithm. In SMUSIC, the only requirements are the calculation of a few basis vectors and calculation of just one vector orthogonal to basis vectors. The superior characteristics of SMUSIC's reduced processing time and high resolution are simulated numerically.
Mathematical Modeling for the Prediction of Depth of Penetration in Double Pulse GMA Welding Using Fractional Factorial Method

The quality of weld joint is directly influenced by the input process parameters influenced by various process parameters during welding. The weld quality can be decided by bead geometry viz., depth of penetration and bead width. Inadequate depth of penetration will lead to failure of the welded structure. This paper presents the development of mathematical model for the prediction of depth of penetration of weld bead geometry in pulsed gas metal arc welding process in double pulse mode. The model is based on experimental data . In this investigation four input process parameters wire feed rate, ratio of wire feed rate to travel speed, amplitude and double pulse frequency are considered. The experiments were conducted on 6mm thickness plate of 5083 H111 aluminum alloy using fractional factorial design of experiments. The mathematical model for depth of penetration is developed using multiple nonlinear regression. The developed model is then compared with experimental results and it is found that the results obtained from mathematical model are accurate. The obtained results help in selecting quickly the process parameters to achieve the desired quality.
Review of radio frequency beamforming techniques for scanned and multiple beam antennas

The growing complexity of communication and surveillance systems means that there is an increasing need for antennas with multiple beam capability. Several technologies such as radio frequency (RF), intermediate frequency (IF), digital and optical are available to meet this need but RF beamforming has the advantage of simplicity and a good capability for many applications. This state of the art review of RF beamforming methods for multiple beam antennas aims to introduce the topic and to collate and classify types, giving a critical assessment of comparative performance. The fundamental relationship between the number of active control elements and the number of beams is taken as a measure of beamformer performance and this also indicates that, for a limited number of active elements, high gain antennas with narrow beams will have limited scan range whilst low gain systems have a wide angle capability. This deduction is reinforced by the practical results collected at the end of the review. The beamformer types covered include lens based beamformers such as the Ruze, Rotman, R-KR and nonuniform refractive index types together with objective lenses with separate feed arrays. Reflector based multiple beam antennas based on zero, one or two Fourier transform properties are followed by circuit types including the Blass and Butler matrices. The wide range of information presented is clarified by a summary section giving an indication of comparative performance levels. The very diversity of RF beamformer types and performance are seen to attest the importance of the topic area for current and future antenna systems and point the way to further innovation and development in this very significant field.
A Design Concept of an Orthopedic Bone Drilling Mechatronics System

Bone drilling manipulationstake placevery ofteninthe orthopedic surgery. The successful execution of bone drilling requires a high level of dexterity and experience. The patient’s recovering depends on the operation performance. This paper presents a design concept of a bone drilling hand-hold mechatronic system. It is based on the modified structure of the previous our robot ODRO. It isable to detect the bone breakthrough and the stops. It is intended to perform drilling a preliminary set depth. Resistantforce is measured and experimental results are shown.
Pocket Data Mining: Big Data on Small Devices

Owing to continuous advances in the computational power of handheld devices like smartphones and tablet computers, it has become possible to perform Big Data operations including modern data mining processes onboard these small devices. A decade of research has proved the feasibility of what has been termed as Mobile Data Mining, with a focus on one mobile device running data mining processes. However, it is not before 2010 until the authors of this book initiated the Pocket Data Mining (PDM) project exploiting the seamless communication among handheld devices performing data analysis tasks that were infeasible until recently. PDM is the process of collaboratively extracting knowledge from distributed data streams in a mobile computing environment. This book provides the reader with an in-depth treatment on this emerging area of research. Details of techniques used and thorough experimental studies are given. More importantly and exclusive to this book, the authors provide detailed practical guide on the deployment of PDM in the mobile environment. An important extension to the basic implementation of PDM dealing with concept drift is also reported. In the era of Big Data, potential applications of paramount importance offered by PDM in a variety of domains including security, business and telemedicine are discussed.
A VARX Measurement of Advertising’s Spillover Effect across it Technology and Wireless Communication Technology

With the booming of wireless communication technology, there is an increasing adoption of mobile advertising. In mobile advertising fields, most spillover effect studies are cross-sectional analysis measuring only immediate effects, which might underestimate total magnitude in the long run. Complementary to these studies, we employ a company archival dataset to explore LBAs’ (Location Based Advertisings) and PUAs’ (Pop-up Advertisings) long term spillover effects in a mobile commerce context. Designed for promoting mobile movie sales, these two advertising channels generate data business sales because of spillover effects. The developed VARX model quantifies spillover effects of LBA and PUA in both short and long terms. These findings advance mobile advertising literatures and make important implications for marketing managers using mobile commerce.
A Disturbance Estimation-Type Control for Pneumatic Servo System Using Neural Network.

This paper presents a control scheme of pneumatic servo systems for practical use, in which a two-layer neural network is used to construct the inverse system of the plant, and disturbance to the plant is estimated. The influence of the disturbance is eliminated by subtracting the estimated disturbance from the output of the controller. To improve the learning ability of the NN, σ modification method, which is one of the robust parameter adjusting methods of the robust adaptive control, is introduced. To confirm the effectiveness of the proposed control scheme, experiments using an existent pneumatic servo system were conducted. The experimental results showed that the external force was estimated well by the disturbance estimation mechanism, and the influence of the external force to the plant output was eliminated immediately after the external force was applied. In addition, high-speed learning of NN could be realized using the switching σ modification method.
Predictors of Complementary and Alternative Medicine Use by Yoruba and Hausa People in Urban Slum Areas of Ibadan, Nigeria

The most common reason for using CAM as reported by homeless youth attending a free clinic in America was because it was natural and organic (43.9%). Other reasons included low cost (28%), perceived efficacy (26.1%), negative experiences with physicians (24.2%), friends use CAM and recommended it (20%), and pervasive mistrust of physicians (19%) [2]. Family practice patients in America gave similar reason for CAM use [3].
DRY PORTS: A COMPARATIVE STUDY OF THE UNITED KINGDOM AND NIGERIA

This paper reviews the development of dry ports in the United Kingdom of Great Britain and Northern Ireland and in Nigeria. In the United Kingdom, P&O developed a group of dry ports at strategic locations close to the main population and industrial centres. They were branded "containerbases" and became widely recognized as models for dry port development elsewhere. Inland Container Depot (ICD) operation in Nigeria started in 1979 and two ICDs have been successful. However, the legislative framework in the 1990s requiring containers to be customs- checked at the port gateway undermined the successful operation of ICDs. More recently, the legal conditions have been changed so that inland terminals can act as the sole point of departure or arrival for containerized consignments. Accordingly, the Government of Nigeria, through the Shippers Council and other relevant bodies, has launched a fresh programme to construct dry ports adjacent to the main inland cities in order to offer modern logistics services to match those available elsewhere.
Can states buy peace? Social welfare spending and civil conflicts

This study examines whether the state’s ability to provide social welfare services has any major effect on the probability of civil conflict onset. We argue that welfare spending contributes to sustaining peace because the provision of social services reduces grievances by offsetting the effects of poverty and inequality in society. Welfare spending serves as an indication of the commitment of the government to social services and reflects its priorities and dedication to citizens. By enacting welfare policies that improve the living standards of citizens, governments can co-opt the political opposition and decrease the incentives for organizing a rebellion. Utilizing time-series, cross-national data for the 1975–2005 period, the results indicate that as the level of the government investment in welfare policies (i.e. education, health, and social security) increases, the likelihood of civil conflict onset declines significantly, controlling for several other covariates of internal conflict. Additional data analysis shows that general public spending and military expenditures are unlikely to increase or decrease the probability of civil unrest. Overall, these findings suggest that certain types of public spending, such as welfare spending, might have a strong pacifying effect on civil conflict, and therefore the state’s welfare efforts are vital for the maintenance of peace.
Bidirectional power electronics for driving dielectric elastomer transducers

The operation of Dielectric Elastomer Transducers typically requires high voltages in the kilovolt range and relatively low currents. Therefore, for driving Dielectric Elastomer Transducers a high voltage power electronics is necessary. For realization of energy efficient actuator and generator applications bidirectional switched-mode converter topologies should be used enabling a bidirectional energy transfer as well as a high efficiency. In this contribution a modular converter system consisting of several switched-mode converter modules featuring galvanic isolation is presented as a basic concept for realization of a high voltage power supply. Three converter topologies - bidirectional flyback, Dual Active Bridge and Isolated Bidirectional Full-Bridge converter - are investigated and suitable modulation schemes are presented, which are based on hysteretic current-mode control, enabling a high converter dynamic and limitation of the converter output current in order to prevent electrode damage. Simulation results for the proposed converter topologies are presented and experimental results for a single bidirectional flyback converter module are shown.
Seismic Reflection and Electrical Resistivity Imaging Support Pre‐Quaternary Glaciation in the Rocky Mountains (Unaweep Canyon, Colorado)

Unaweep Canyon (Uncompahgre Plateau, Colorado) represents an enigmatic landscape with a complex evolution. Interpretations for its origin have ranged from ancestral fluvial erosion in the late Cenozoic to glacial erosion in the Paleozoic, or some combination thereof, with significant implications for global climatic and large‐scale tectonic reconstructions. To address the conflicting interpretations, we acquired a high‐resolution seismic reflection profile to investigate the depth, structure, and sedimentary infill in the canyon. The data set is further complemented with an electrical resistivity survey. Integrated with other geophysical and geological data, the results show an overdeepened Precambrian basement with transverse U shape and support the hypothesis of a pre‐Quaternary glacial origin. Our data constitute the first detailed image of a buried pre‐Quaternary glacial valley in North America; if substantiated with core studies, these results have far‐reaching implications for our understanding of global ice houses as well as the tectonic conditions, enabling preservation of such systems.
Real-time 3-d localization using radar and passive surface acoustic wave transponders

This thesis covers ongoing work into the design, fabrication, implementation, and characterization of novel passive transponders that allow range measurements at short range and at high update rates. Multiple RADAR measurement stations use phaseencoded chirps to selectively track individual transponders by triangulation of range and/or angle measurements. Nanofabrication processes are utilized to fabricate the passive surface acoustic wave transponders used in this thesis. These transponders have advantages over existing solutions with their small size (mm×mm), zero-power, high-accuracy, and kilohertz update rates. Commercial applications such as human machine interfaces, virtual training environments, security, inventory control, computer gaming, and biomedical research exist. A brief review of existing tracking technologies including a discussion of how their shortcomings are overcome by this system is included. Surface acoustic wave (SAW) device design and modeling is covered with particular attention paid to implementation of passive transponders. A method under development to fabricate SAW devices with features as small as 300nm is then covered in detail. The electronic design of the radar chirp transmitter and receiver are covered along with the design and implementation of the test electronics. Results from experiments conducted to characterize device performance are given. Thesis Supervisor: Professor Joseph A. Paradiso Title: MIT Media Laboratory
AN APPROACH TO INVERSE MODELING THROUGH THE INTEGRATION OF ARTIFICIAL NEURAL NETWORKS AND GENETIC ALGORITHMS

OF THESIS AN APPROACH TO INVERSE MODELING THROUGH THE INTEGRATION OF ARTIFICIAL NEURAL NETWORKS AND GENETIC ALGORITHMS A hybrid model integrating predictive capabilities of Artificial Neural Network (ANN) and optimization feature of Genetic Algorithm (GA) is developed for the purpose of inverse modeling. The proposed approach is applied to Superplastic forming of materials to predict the material properties which characterize the performance of a material. The study is carried out on two problems. For the first problem, ANN is trained to predict the strain rate sensitivity index m given the temperature and the strain rate. The performance of different gradient search methods used in training the ANN model is demonstrated. Similar approach is used for the second problem. The objective of which is to predict the input parameters, i.e. strain rate and temperature corresponding to a given flow stress value. An attempt to address one of the major drawbacks of ANN, which is the black box behavior of the model, is made by collecting information about the weights and biases used in training and formulating a mathematical expression. The results from the two problems are compared to the experimental data and validated. The results indicated proximity to the experimental data.
Silicon PV : 0305 April 2012 , Leuven , Belgium Emitter profile tailoring to contact homogeneous high sheet resistance emitter

In this work we report on successful direct contacting of high sheet resistance (RSH) emitter at 100 Ω/sq by emitter profile manipulation. The formation of lightly doped emitter via POCl3 diffusion was investigated and optimized by the variation of temperature, time and gas fluxes. Sheet resistance mapping and emitter profile analysis have been done by four-point-probe and Electrochemical Capacitance Voltage (ECV) measurements. By increasing the depth of the n layer and at the same time reducing the peak concentration of inactive phosphorous doping, an efficiency gain of up to 0.7% absolute was achieved for multicrystalline silicon (mc-Si) solar cells. Suns-VOC measurements show an even higher gain of up to 1% absolute. In this work five different silver pastes are analysed accompanied by three different simulated grid designs. Electroluminescence imaging technique was used to characterize the spatiallyresolved electrical properties of the solar cells. Based on these investigations we evaluated a 160 Ω/sq emitter and could demonstrate by laser doping that the minimum n layer depth for high fill factors is approx. 25 nm leading to 0.4%abs efficiency gain. © 2012 Published by Elsevier Ltd. Selection and peer-review under responsibility of the scientific committee of the SiliconPV 2012 conference
An Effective Independence-Improved Modal Strain Energy Method for Optimal Sensor Placement of Bridge Structures

In this study, an effective independence-improved modal strain energy (EI-IMSE) method is proposed for the optimal sensor placement (OSP) problem in the field of the structural health monitoring and moving force identification. The improved modal strain energy (IMSE) is used to modify optimal sensor placement results obtained by the effective independence (EI) method. The EI-IMSE OSP method is verified by some numerical simulations on a 2D planar truss bridge model. Based on the criteria of modal assurance criterion (MAC), trace of fisher matrix, matrix condition number, and the least mean square error, the EI-IMSE OSP method is assessed through comparing with those of EI, EI-driving point residue (EI-DPR), EI-average driving DOF velocity (EI-ADDOFV), and EI-average acceleration amplitude (EI-AAA). The illustrated results show that the proposed EI-IMSE OSP method is feasible with a higher accuracy.
Signal Detection by Human Observers

Abstract : This report describes the research, during the years from 1956 to 1963, of the Psychophysics Group of the Psychology Laboratory and the Research Laboratory of Electronics, Massachusetts Institute of Technology. Section I of this re port gives relevant administrative information; Section II describes the general objectives of the research. Section III and V give abstracts of published papers and of papers presented at meetings of professional societies. (Author)
Solitary Wave Solutions, Periodic Wave Solutions and Folded Localized Excitations for the Dissipative Zabolotskaya-Khokhlov System

The mapping approach is a powerful tool to looking for the exact solutions for nonlinear partial differential equations. In this paper, using an improved mapping approach, a series of exact solutions (including solitary wave solutions and periodic wave solutions) of the (2+1)-dimensional dissipative Zabolotskaya Khokhlov (DZK) system is derived. Based on the derived solitary wave solution, we obtain some folded localized excitations of the DZK system.
Impact of metastatic lymph nodes on survival in well and moderately differentiated appendiceal neuroendocrine tumors: whether current “lymph node-decided” surgical strategy benefits?

Background Current guidelines recommended right hemicolectomy for appendiceal neuroendocrine tumors (A-NETs) patients with lymph node (LN) metastasis. Prognoses of these patients are favorable, and the prognostic impact of metastatic LN is controversial.Objective The study aims to evaluate the prognostic factors of well and moderately differentiated A-NETs, and explore whether right hemicolectomy/ more extended procedure (RHCM) improves prognosis compared to less extended than right hemicolectomy (LRHC). Methods The Fine-Gray proportional hazards model was established to calculate subdistribution hazard ratios of prognostic factors. A propensity score matching was performed to balance intergroup differences between the LRHC and RHCM groups. Survival difference between the after-matched groups was tested using the Gray test, and subgroup analyses were conducted.Results In the multivariate analysis, age, race, histological type and distant metastatic status were associated with prognosis, while tumor size and nodal status were not. After propensity score matching, the patients’ characteristics were well balanced. RHCM did not confer survival advantage in the whole after-matched patients or any subgroup.Conclusions Metastatic LN does not significantly impact prognosis, and RHCM fails to improve prognosis compared to LRHC. Therefore, the current “LN-decided” surgical procedure may not be suitable for patients with well and moderately differentiated A-NETs.
Design of a Full Polarimetric Scatterometer for X-Band

A full-polarimetric scatterometer(HPS: Hongik Polarimetric Scatterometer) for X-band is designed, fabricated, and verified using the theoretically well-known point-targets in this paper. The X-band full-polarimetric scatterometer consists of an OMT(Orthogonal-Mode Transducer)+horn antenna, the angle control part for the OMT+horn antenna, a transmitter/receiver with a network analyzer and a frequency-conversion circuitry, and a movable support of these parts. We use an inclinometer sensor to control the vertical and horizontal incidence angles. The full polarimetric data can be obtained because of the polarization switches and the OMT. The accuracy of the scatterometer system is verified by measuring the polarimetric RCS(Radar Cross Section) of one of the theoretically well-known point-targets, i.e., a corner reflector.