Miracle-dz/UniFAR-FTUs huggingface dataset:
Closed-form Green's functions for cylindrically stratified media

A numerically efficient technique is developed to obtain the spatial-domain closed-form Green's functions of the electric and magnetic fields due to z- and /spl phi/-oriented electric and magnetic sources embedded in an arbitrary layer of a cylindrical stratified medium. First, the electric- and magnetic-field components representing the coupled TM and TE modes are derived in the spectral domain for an arbitrary observation layer. The spectral-domain Green's functions are then obtained and approximated in terms of complex exponentials in two consecutive steps by using the generalized pencil of function method. For the Green's functions approximated in the first step, the large argument behavior of the zeroth-order Hankel functions is used for the transformation into the spatial domain with the use of the Sommerfeld identity. In the second step, the remaining part of the Green's functions are approximated on two complementary parts of a proposed deformed path and transformed into the spatial domain, analytically. The results obtained in the two consecutive steps are combined to yield the spatial-domain Green's functions in closed forms.
Dexterity Measures for 4DOF Exoskeleton Robot

In this work, we investigate the measure of isotropy of a manipulator based on its Jacobian matrix. Our manipulator is an exoskeleton arm robot for human physical therapy. An exoskeleton arm robot is wearable robot with joints and links corresponding to those of the human body. Our goal is to derive dexterity measures called the measure of isotropy which can be used for both design and real-time control of a manipulator. Generally, a dexterity measure must be independent of the scale of a manipulator for design and must be expressed analytically so that it can be used for real-time control. Of course, every dexterity measure must bear a physical meaning.
Anticancer properties and pharmaceutical applications of ginsenoside compound K: A review

Ginsenoside compound K (CK) is the major intestinal bacterial metabolite of ginsenosides that exhibits anticancer potential in various cancer cells both in vitro and in vivo. The anticancer types, mechanisms, and effects of CK in the past decade have been summarized in this review. Briefly, CK exerts anticancer effects via multiple molecular mechanisms, including the inhibition of proliferation, invasion, and migration, the induction of apoptosis and autophagy, and anti‐angiogenesis. Some signaling pathways play a significant role in related processes, such as PI3K/Akt/mTOR, JNK/MAPK pathway, and reactive oxygen species (ROS). Moreover, the effects of CK combined with nanocarriers for anticancer efficiency are discussed in this review. Furthermore, we aimed to review the research progress of CK against cancer in the past decade, which might provide theoretical support and effective reference for further research on the medicinal value of small molecules, such as CK.
Roll Estimation of a Smart Munition Using a Magnetometer Based on an Unscented Kalman Filter

Roll estimation is an important problem to guarantee guidance performance of a smart munition. To estimate a roll angle of the smart munition, angular velocity modulation is needed. Angular velocity modulation is derived from the fact that the roll angle is related to a pitch rate, a yaw rate and gyroscope outputs of a munition. Based on this knowledge, this paper gives the method to use an earth magnetic sensor output as a measurement. For an earth magnetic measurement, a new coordinate is defined, and the system and measurement models are derived. In the roll estimation problem, the measurement model is nonlinear. For this nonlinear measurement model, an unscented Kalman filter is also used. This paper shows the performance improvement using the magnetic measurement and the benefit of an unscented Kalman filter in simulation.
Solid Peroxy Compounds as Additives to Organic Waste for Reclamation of Post-Industrial Contaminated Soils

Solid peroxy compounds have been increasingly applied for the removal of organic pollution from contaminated groundwater and soil due to their ability to release oxygen and hydrogen peroxide. The influence of two solid peroxy compounds (sodium percarbonate, 2Na2CO3·3H2O2 and calcium peroxide, CaO2) with poultry manure (PM) added to contaminated soil on the growth of the tested plants (Sinapis alba, Lepidium sativum L. and Sorghum bicolor L. Moench) and the quality of soil water leachates was investigated. A series of experiments involving the addition of CaO2 and 2Na2CO3·3H2O2 at the dose of 0.075 g/g PM improved the growth of tested plants. The conducted study indicated that the use of peroxy compounds not only removed pathogens from livestock waste, but also improved the quality of plant growth. The calculated factors for the growth of roots (GFR) and growth of shoots (GFS) in soils treated with a mixture of peroxy compounds and PM were higher than in soils treated only with PM. The physicochemical analysis of soil water leachates indicated that solid peroxy compounds may be a promising alternative compared to the currently used hygienizing agent such as calcium hydroxide (Ca(OH)2). Solid peroxy compounds increased the bioavailability of components necessary for proper seed germination and plant growth (N, P, K, Ca, Mg and S). In most of the studied cases, the obtained plant shoot and root growth rates were higher for soil mixtures containing organic waste deactivated by biocidal compounds, compared to soils that contained only poultry manure.
ZMP Compensation Algorithm for Stable Posture of a Humanoid Robot

The desired ZMP is different from the actual ZMP of a humanoid robot during actual walking and stand upright. A humanoid robot must maintain its stable posture although external force is given to the robot. A humanoid robot can know its stability with ZMP. Actual ZMP may be moved out of the foot-print polygons by external disturbance or uneven ground surfaces. If the position of ZMP moves out of stable region, the stability can not be guaranteed. Therefore, The control of the ZMP is necessary. In this paper, ZMP control algorithm is proposed. Herein, the ZMP control uses difference between desired ZMP and actual ZMP. The proposed algorithm gives reaction moment with ankle joint when external force is supplied. 3D simulator shows motion of a humanoid robot and calculated data.
Design and Wind-Tunnel Verification of Low-Noise Airfoils for Wind Turbines

A method for the prediction of the airfoil trailing-edge far-field noise is presented. The model employs the airfoil analysis code XFOIL to determine the initial and boundary conditions for a subsequent boundary-layer analysis using the finite-difference code EDDYBL featuring a Reynolds stress turbulence model that finally provides the input data for the noise prediction by a modified TNO Institute of Applied Physics model. The prediction scheme was applied in the European silent rotors by acoustic optimization project to design new, quieter airfoils for the outer blade region of three different wind turbines in the megawatt class. The objective was to reduce the airfoil self-noise without loss in aerodynamic performance
Total quality facilities management: a framework for implementation

Facilities management is increasingly becoming an important function in the built environment. With development well under way in both the developed and developing countries, the number of buildings and infrastructural facilities which need to be professionally managed and maintained has grown to reach the same level of significance traditionally found in new construction works. However, unlike new construction, facilities management ‐ if it is to be taken within the context of not only property maintenance and management, but also retrofitting, refurbishment and renovation works ‐ involves more risks because of its higher level of uncertainties during the inception, design and construction stages. These uncertainties do not, however, mean that quality standards in facilities management should be compromised. Like new construction works, total quality management (TQM) can likewise help to rationalize and enhance effective facilities management. Proposes to introduce the TQM philosophy to the arena of facilities management and, in the process, suggests a framework to help practitioners implement a total quality facilities management system which is relevant for their organizations.
Compact cross‐coupled hairpin filter design using ceramic substrates

Cross‐coupled hairpin filter design using electrical‐coupling with asymmetric feed on ceramics was reported. The band‐pass filters are designed at center frequency of 2.0 (GHz) with bandwidth of 10%. In addition, this article presents an analytical technique for positioning the locations of two transmission zeros for a microstrip band‐pass filters. The band‐pass filter uses two resonators with two transmission zeros to obtain lower insertion loss than a conventional cross‐coupled microstrip filter. Also, by using high Q, high permittivity dielectric materials as substrates, the filters demonstrate high selectivity, compact size, and can be used in many wireless communication systems. A bandwidth of 10% with −0.75 dB insertion loss and −34 dB attenuation was achieved with chip size of 2.5 × 0.85 cm2. © 2008 Wiley Periodicals, Inc. Microwave Opt Technol Lett 50: 1795–1800, 2008; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/mop.23505
Image classification of coral reef components from underwater color video

The purpose of this study is to automate coral reef assessment, that is, to classify coral images into benthic categories from digitized underwater video using a computer-based classifier such that coral reef analysis becomes less subjective, less tedious and more precise. Corals exhibit a variety of color, texture and structure which are the visual cues used by marine scientists for their classification. In computer vision, color is a point property of a picture element while texture is a property of an area. Color and texture have been combined as color-texture which is a feature that describes the spatial organization of colors in an area. As inputs to a classifier, the authors extract color, texture and color-texture descriptors from coral images and measure recognition rates using each feature. Corals are 3D structures and, when imaged, are prone to varying resolutions, perspective projection and lighting conditions. Therefore, an additional objective of this study is to address the problem of illumination, rotation and scale invariance in pattern recognition of underwater images. Images were classified into one of five benthic categories: alive coral, dead coral, dead coral with algae, algae and abiotics. Overall, texture was found to be more discriminating than using color alone or color and texture combined. Dead coral was the most successfully recognized class using color features.
TECHNOLOGY AND EDUCATION: A BROAD PERSPECTIVE

This paper examines technology and its place in modern education in the context of human cultural accumulation processes, where memories, formed as a result of the interaction of novel information with long-term memory, may be stored externally and also transmitted across generations. The learning of technology, considered in a broad sense as environmental manipulation, is tied to cultural accumulation processes and historical practice, but the application of technology across knowledge domains reflects its use prior to the development of subjects as taught in modern educational institutions. Although the use and effectiveness of technology in education is an important issue for the modern teacher, there is little in the way of effective scientific frameworks that allow the modern teacher to compare educational approaches and their effectiveness in teaching practice, and much less in the way of frameworks that can, in turn, be applied to assessing the use and effectiveness of technology. This paper explores the development of such a framework, based in a little-used view of information and suggests how this framework may be used to examine the role of technology in human learning and memory and to examine its intersection with education and teaching.
Adaptive Cross Correlation for Imaging Displacements in Soils

Digital image correlation ~DIC! is used in this paper to study two-dimensional spatial soil deformations nonintrusively. Adaptive cross correlation ~ACC! , which is an advanced cross-correlation algorithm that utilizes variable window sizing and window shifting methods, was used to reduce the errors associated with conventional DIC. Comparison of the two algorithms using a scheme of predefined digital and physical movements shows that ACC improves the accuracy and range of DIC. A model of a strip footing on sand is presented. A digital camera was used to capture consecutive images of soil deformations through a Plexiglas mold. The spatial deformation of the soil beneath the footing was obtained by correlating consecutive images using ACC. Shear strains and the failure surface were also calculated based on the displacements measured using ACC. The optical setup and digital image processing technique presented in this paper were proven to be an effective tool for studying soil-structure interaction nonintrusively.
Evaluating dampening effects of alternative lot-sizing rules to reduce MRP system nervousness

System nervousness in material requirements planning (MRP) has received considerable attention. Although there are different perceptions of system nervousness, it is generally considered as the negative effects of open orders rescheduling. Several methods are suggested to cope with system nervousness. The use of lotsizing rules to cope with MRP system nervousness is investigated here in this paper. Extra inventories need to be carried with most lot-sizing rules, which can be used to accommodate schedule changes. Thus, the nervousness-dampening mechanism is a built-in feature of these lot-sizing rules. The aim of this paper is to focus on the investigation of the effectiveness of using lot-sizing rules to dampen system nervousness in MRP systems by a simulation study. A factorial design was used to examine the dampening effect of various lot-sizing rules considered here. We find that the part-period balancing rule and least total cost rule turn out to be two effective lot-sizing rules to reduce system nervousness.
Bias-switching quasi-Doherty-type amplifier for CDMA handset applications

A new approach of "quasi-Doherty" type amplifier based on bias switching has been developed for CDMA handset applications. By dividing the mode of operation according to the output power requirement, the efficiency was optimized in the low-power region while the linearity was improved in the high-power region. In this way, the proposed bias-switching Doherty amplifier could meet the stringent ACPR specification of the CDMA systems over the entire power region while improving the low-power efficiencies. Biasing to the peak amplifier has been switched according the mode of operation for this purpose. Prototype 0.5-W power amplifier module has been designed and fabricated to demonstrate the concept. In the low power mode, PAE of 17% and ACPR of -51.8 dBc were achieved at output power of 16 dBm. In high power mode, PAE of 32% and ACPR of -50 dBc were achieved at output power of 25 dBm.
ANN-based novel fault detector for generator windings protection

Summary form only given as follows. In this paper, an artificial neural network (ANN) based internal fault detector algorithm for generator protection is proposed. The detector uniquely responds to the winding earth and phase faults with remarkably high sensitivity. Discrimination of the fault type is provided via three trained ANNs having a six dimensional input vector. This input vector is obtained from the difference and average of the currents entering and leaving the generator windings. Training cases for the ANNs are generated via a simulation study of the generator internal faults using Electromagnetic Transient Program (EMTP). A genetic algorithm is employed to reduce training time. The proposed ANN algorithm is compared with a conventional differential algorithm. It is found to be superior regarding sensitivity and stability.
Using 360-degree videos for virtual reality exposure in CBT for panic disorder with agoraphobia: a feasibility study

Abstract Background: Cognitive behavioural therapy (CBT) is an effective treatment for panic disorder with agoraphobia (PDA). However, implementation of some of the procedures involved, particularly in vivo exposure, can be time consuming and taxing for routine health care services. CBT with exposure taking place in virtual reality (VR-CBT) is a more time-efficient option and has shown promising results in the treatment of PDA. However, VR-CBT requires expensive equipment and appropriate virtual environments, which historically has been costly and cumbersome to produce. Thus, access to VR-CBT has been sparse in regular care environments. Aims: The aim of this study was to investigate whether VR-CBT using filmed virtual environments produced with a low-cost 360-degree film camera can be a feasible and acceptable treatment for PDA when implemented in a primary care context. Method: This was an open feasibility trial with a within-group design, with assessments conducted at pre-test, post-test, and 6-month follow-up. Participants (n = 12) received a 10–12 week treatment programme of VR-CBT and PDA-related symptoms were assessed by the primary outcome measure The Mobility Inventory for Agoraphobia (MIA) and the Panic-Disorder Severity Scale-Self Rated (PDSS-SR). Results: The results showed that treatment satisfaction was high and participants were significantly improved on PDA-related measures at post-treatment and at 6-month follow-up with large effect sizes (Cohen’s d range = 1.46–2.82). All 12 participants completed the treatment. Conclusions: These findings suggest that VR-CBT with 360-degree video virtual environments delivered to primary care patients with PDA is feasible, acceptable, and potentially efficacious.
EFFECTS OF PRESSURISATION AND SMOKE MANAGEMENT SYSTEMS ON FIRE GROWTH AND SMOKE MOVEMENT IN A MULTI-STOREY BUILDING

This paper describes experimental observations of the effects of stair pressurisation and smoke management systems on fire growth and smoke spread in a multi-storey building. Comparisons are made between the results of a set of fire experiments which involved a variety of ventilation conditions. Measurements were taken of mass loss in the burn room, flow velocity distributions at door vents, temperature and pressure in various enclosures of the building. It was found that the operation of the stair pressurisation and smoke management systems not only effectively prevented smoke spread to the corridor on the floor of fire origin and to upper levels, but also had strong effect on fire growth and flame spread in the burn room.
Shapley Value Method and Stochastic Dantzig–Wolfe Decomposition for Decentralized Scheduling of Multimicrogrid

The decentralized economic scheduling of multimicrogrid is an important aspect in the operational planning of microgrids (MGs). This article proposes an approach to maximize economic benefit among MGs through cooperative scheduling. The cooperative scheduling is achieved via price signals so that MGs are encouraged to share power among themselves for economic benefit. An MG operator generates a time-variable tariff based on energy trading status so that the parking lot operator and distributed battery energy storage system aggregator participate with flexibility in the MG’s energy management. The Shapley value method is used for generating fair price signals. The stochastic Dantzig–Wolfe decomposition is used to solve the resulting optimization problem in a decentralized manner. The uncertainties related to load demand and renewable energy sources are captured using scenario-based methods, whereas the uncertainty associated with plug-in hybrid electric vehicles is modeled using copula theory based estimation. The simulation studies and comparison with the existing methods establish that the proposed approach effectively reduces the total energy cost in a decentralized manner with the minimum amount of information exchange.
THROUGHPUT IMPROVEMENT OF COGNITIVE RADIO NETWORK USING ORTHOGONAL FREQUENCY DIVISION MULTIPLEXING

This paper looks ahead at the future of wireless communications systems that can combine their resources and capabilities in order to enhance their overall ability to collect and convey information. Cognitive network teamwork has significant potential in the development of new public-safety, entertainment and military applications. Specifically, descriptions of the principles of formation, coordination and management of an effective cognitive network , in this paper, investigation is done on the transmission in cognitive radio network using orthogonal frequency division multiplexing (OFDM). The relevant communication parameters are optimized in dynamic wireless channel environment. Firstly, variable representation of the transmission parameters is done that can be controlled by the system, several objective function in the different layers must also be determined to define how the cognitive radio should operate, then implementation of block turbo code modulation in orthogonal frequency division multiplexing to improve throughput of cognitive radio network is done and simulate on cognitive radio cognitive network (CRCN) simulator .
The Research of Real-Time Monitoring System of All-Weather Fatigue Driving

In this paper, a real-time monitoring system of all-weather fatigue driving which is based on DSP (TMS320DM643) is introduced. The method of regional area combining the skin color model, can quickly locate the drivers face. The paper also presents the judgment of eye state, the fetch of fatigue parameters (PERCLOS, ECT and EBF), and the general method for the determination of fatigue degree. The system has very strong using value, and practical significance.
MODELS OF COMMUNITY CAPACITY BUILDING FOR HOMESTAY MANAGEMENT

Tourists' visits to rural areas are increasingly experiencing growth. However, the community has not taken advantage of tourism as an opportunity to increase income. The research aims to identify the factors driving and inhibiting homestay management by the community, analyze the community's capacities and opportunities for homestay management, and propose a community capacity-building model for homestay management. This research employs a qualitative approach through a case study in Maen Village, Likupang, North Minahasa Regency. The research was carried out in 2020 through two periods of visits with interviews with residents and observation. The research reveals that the community had not yet optimized their house as a homestay. Residents' houses only serve as lodging for mining workers. However, residents do not mind providing their house as an accommodation based on homestay management principles. The strategic location of Maen Village, the hospitality of the residents, and the use of people's houses as lodging are the driving forces for homestay management. A weak understanding of homestay is a challenge for most residents. Community capacity still needs to be improved with various training programs. This study proposes two homestay management models and development, including, entrepreneurial-based community capacity model and a homestay management model based on digital marketing principles. This research validates the concept of community capacity through homestay management. In addition, the paper provides an insight on how to utilize the opportunities possessed by the local community to obtain alternative income through homestay management.