Miracle-dz/UniFAR-FTUs huggingface dataset:
Panorama mosaicking on scale-invariant feature transform

By analyzing difference of the panorama mosaicking methods available,a new one based on the scale-invariant feature transform(SIFT) algorithm is proposed.SIFT is robust to the image quality and illumination factors then extracting and matching abundant match information with this arithmetic.The initial value of H matrix is counted by Random Sample Consensus(RANSAC) and further conversion to accurate value of H matrix which counted by iterative refinement algorithm.Use the fix angle pictures which camera filming in advanced to get the transform angle H matrix,therefore,make the two images which have angle difference adjust to vertical shooting plane.Finally,mosaicking adjusted two images according SIFT and projection algorithm.Simulation proved that new method is simple and reduce the distortion at the edge field after two images mosaicking then improve its quality.
Orbital magnetoconductance in the variable-range-hopping regime.

The orbital magnetoconductance (MC) in the variable-range--hopping (VRH) regime is evaluated by use, for definiteness, of a model proposed by Nguyen, Spivak, and Shklovskii, which approximately takes into account the interference among random paths in the hopping process. Instead of logarithmic averaging which is shown to be inadequate for this case, the MC is obtained by the critical percolating resistor method of Ambegaokar, Halperin, and Langer. The small-field MC is quadratic in H; it is positive deep in the VRH regime and changes sign when the zero-field conductivity is high enough. This behavior (except for the sign change) and the relevant magnetic field scale are in agreement with recent experiments. The calculated MC is always positive for strong fields and is predicted to saturate at sufficiently large fields.
Pattern discovery in structural databases with applications to bioinformatics

Frequent structure mining (FSM) aims to discover and extract patterns frequently occurring in structural data such as trees and graphs. FSM finds many applications in bioinformatics, XML processing, Web log analysis, and so on. In this thesis, two new FSM techniques are proposed for finding patterns in unordered labeled trees. Such trees can be used to model evolutionary histories of different species, among others. The first FSM technique finds cousin pairs in the trees. A cousin pair is a pair of nodes sharing the same parent, the same grandparent, or the same great-grandparent, etc. Given a tree T, our algorithm finds all interesting cousin pairs of T in O(|T|2) time where |T| is the number of nodes in T. Experimental results on synthetic data and phylogenies show the scalability and effectiveness of the proposed technique. This technique has been applied to locating co-occurring patterns in multiple evolutionary trees, evaluating the consensus of equally parsimonious trees, and finding kernel trees of groups of phylogenies. The technique is also extended to undirected acyclic graphs (or free trees). The second FSM technique extends traditional MAST (maximum agreement subtree) algorithms by employing the Apriori data mining technique to find frequent agreement subtrees in multiple phylogenies. The correctness and completeness of the new mining algorithm are presented. The method is also extended to unrooted phylogenetic trees. Both FSM techniques studied in the thesis have been implemented into a toolkit, which is fully operational and accessible on the World Wide Web.
Demonstration of ultra-thin buried oxide germanium-on-insulator MOSFETs by direct wafer bonding and polishing techniques

The ultra-thin body and ultra-thin buried-oxide (UTBB) Germanium-on-Insulator (GeOI) substrates have been fabricated by direct wafer bonding and polishing techniques. The Ge and BOX layer thicknesses are as thin as 9 and 13 nm, respectively. The UTBB GeOI substrates exhibit superior crystal quality (similar to the bulk single crystalline Ge) and sufficiently reduced surface roughness. As a result, the Hall hole mobility of UTBB GeOI reaches 1330 cm2/V s with a carrier concentration of 2 × 1016 cm−3. The inversion mode UTBB GeOI nMOSFETs have also been demonstrated with suppressed mobility degradation during Ge layer thinning, indicating the feasibility of this GeOI substrate formation technique in future CMOS technologies.
Performance of unit-root tests for non linear unit-root and partial unit-root processes

ABSTRACT This paper investigates the finite-sample performance of the augmented Dickey–Fuller (ADF), Phillips–Perron (PP), momentum threshold autoregressive (M-TAR), Kapetanios–Shin–Snell (KSS), and the inf-t unit-root tests. Simulation results show that the ADF and KSS tests have better size, whereas other tests generate severe size distortions when the date-generating processes are non linear unit-root processes. In general, with regard to the combination of test powers with test sizes, the ADF and KSS tests are comparatively better than the PP, M-TAR, and inf-t tests; moreover, the inf-t test exhibits the poorest performance even for larger sample sizes.
A Review and Correlations for Convection Heat Transfer and Pressure Losses in Toroidal and Helically Coiled Tubes

ABSTRACT The conducted review of the experiments for pressure losses and convection heat transfer in toroidal and coiled tubes yielded 2,410 pressure losses data for water, air, and ethylene glycol flows in 62 different coiled tubes. These data are used to develop a friction factor correlation, in terms of a modified Dean number. The compiled Nusselt number database of 176 data points for flows of water, air, and water–10% and 43.5% glycerol mixtures and additional 17 data points for flows of ethylene glycol, n-amyl alcohol, n-butanol, and n-amyl acetate, with higher Prandtl numbers of 15–175, is correlated in terms of the modified Reynolds number. The friction factor and Nusselt number correlations span the entire range of the data, and agree with the data to within ±20%. In addition, the experimental data of the critical Reynolds number are correlated to within ±10%. The developed correlations are compared to those reported previously. The comparison of the calculated results for a coiled tube and a straight tube, of the same diameter and total length, quantifies the relative heat transfer enhancement and increase in pressure losses. A review of the thermal development in toroidal and coiled tubes indicates that the value and the oscillatory behavior of the local Nusselt number depend on the angular location.
Mechanical and viscoelastic properties of basalt-hemp hybrid reinforced polypropylene

A growing concern of climate change and waste pollution is causing a shift in products towards green materials. The automotive industry is exploring environmentally friendly alternatives to glass fibers (GF). This research focuses on understanding interactions between constituents of biocomposites made up of basalt fiber (BF) and hemp hurd particle fiber (HF) reinforced polypropylene (PP), and statistically comparing the mechanical properties. The addition of a coupling agent has significantly improved the performance and fiber-matrix interactions in the biocomposite blends. The elastic modulus of some BF/HF/PP mixtures were comparable to the GF/PP composite; however, the GF still outperformed in strength. Rotational and capillary rheometer analysis determined the viscosities of all formulations displaying that basalt composites were consistently lower in viscosity than the glass fiber composite, indicating easier processing conditions.
Selection method for hyper-parameters of support vector regression by chaotic cultural algorithm

The hyper-parameters of support vector regression influence the performance of its model.In the normal gradient descent method,kernel functions or estimation functions must approximately differential,and this method sensitively depends on initial values.Therefore,a two-stage optimization selection method for hyper-parameters is proposed.In first stage,the search extent of each hyper-parameter is determined according to the reqirement of issues.In second stage,optimal hyper-parameters are obtained by using adaptive chaotic culture algorithm during above search space.Taken the prediction of Mackey-Glass time series as example,simulation results show that the selection method is not related on the stucture of functions,and support vector regression(SVR) model corresponding to optimal hyper-parameters by using this method has better generaliztion.
Analisis Pengendalian Kualitas Produk Gula Dan Biaya Kualitas Dalam Menunjang Efektivitas Produksi

PT Madu Baru PG Madukismo merupakan sebuah industri yang bergerak pada pembuatan gula pasir yang terletak di Desa Jl. Padokan, Rogocolo, Tirtonirmolo, Kec. Kasihan, Kabupaten Bantul, Daerah Istimewa Yogyakarta. Seiring dengan adanya perkembangan teknologi dalam dunia industri, menyebabkan banyaknya permintaan produk dari konsumen sehingga banyak perusahaan yang saling berlomba untuk selalu meningkatkan kualitas produk. Metode penelitian yang digunakan adalah seven tools (mengenalisis kecacatan produk), dan pendekatan studi kasus dengan mengamati aktivitas biaya kualitas. Hasil dari penelitian ini adalah Terdapat 3 jenis kecacatan yang dominan terjadi pada saat produksi gula yaitu krikilan sebesar 23,128%, scrap sugar basah sebesar 19,036% dan gula mengabu sebesar 22,043%. Dan biaya kualitas dari PG Madukismo pada bulan Oktober 2022 belum efektif dikarenakan adanya penurunan biaya pengendalian sebesar 1,021%. Sedangkan biaya kegagalan mengalami peningkatan sebesar 6,01% yang disebabkan oleh naiknya jumlah produk cacat dari masing – masing jenis kecacatan produk gula yang terjadi di PG Madukismo. Sehingga dari hasil analisis penelitian ini menghasilkan sebuah solusi berupa produk reminder atau sirine pabrik karena supaya para pekerja selalu fokus dan tidak meninggalkan mesin saat terjadinya proses produksi. Hal ini bertujuan agar para pekerja selalu ingat terhadap tanggung jawabnya pada proses produksi dengan selalu menjaga fokus saat mesin bekerja sehingga proses produksi terkontrol dan hal ini akan meminimalisir kecacatan produk.
Knowledge, Attitude, and Practice of Computer Vision Syndrome among Office Workers in UiTM Puncak Alam

Computer vision syndrome (CVS) is a widespread issue affecting computer users. This study investigated the level of knowledge, attitude, and practice of using visual display unit on CVS among office workers in UiTM Puncak Alam campus and the association between these factors. Majority respondents knew that prolonged computer digital screen usage could lead to CVS(76%) and that practicing good ergonomics(76%) and taking regular screen breaks(69%) can reduce discomfort and risk of injury. There was a significant association between CVS knowledge and gender, years of working with computers, and refractive error status. This study will improve computer users’ knowledge of CVS. Keywords: Computer vision syndrome; Visual display unit; Knowledge; Attitude eISSN: 2398-4287 © 2023. The Authors. Published for AMER ABRA cE-Bs by e-International Publishing House, Ltd., UK. This is an open-access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer–review under the responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), ABRA (Association of Behavioural Researchers on Asians/Africans/Arabians) and cE-Bs (Centre for Environment-Behaviour Studies), College of Built Environment, Universiti Teknologi MARA, Malaysia. DOI: https://doi.org/10.21834/ebpj.v8i24. 4644
How useful are (Censored) Quantile Regressions for Contingent Valuation

We investigate the interest of quantile regression (QR) and censored quantile regression (CQR) to deal with issues from contingent valuation (CV) data. Indeed, although (C)QR estimators have many properties of interest for CV, the literature is scarce and restricted to six studies only. We proceed in three steps. First, we provide analytical arguments showing how (C)QR can tackle many econometric issues associated with CV data. Second, we show by means of Monte Carlo simulations, how (C)QR performs w.r. t. standard (linear and censored) models. Finally, we apply and compare these four models on a French CV survey dealing with flood risk. Although our findings show the usefulness of QR for analyzing CV data, findings are mixed on the improvements from CQR estimates with respect to QR estimates.
Fractal feature of CT image and facet edge detection

Facet model can obtain accurate image edge,but the time complexity is greatly high while be used to segment target. Against this question,from the perspective of target feature in CT images,fractal dimension characteristics are introduced into Facet model in this paper.Firstly rough candidate point set is obtained on the basis of truth the fractal dimension on the edges is larger than other part,and then obtains the exact edges by using Facet model in the candidate point set.Furthermore,the ex- perimentation results indicate that this method can not only be accurate on the edge,but also improve the processing speed.
An Optimized FO-PID Controller and Predictive Current Control of the APF Connected AWPS for Power Quality Improvement

This paper deals with the design of a new topology of arc welding power supply (AWPS) based on an active power filter (APF) suitable to feed an arc welding machine. The principal task of this welding topology is to ensure a good welding process and ensure a unity power factor correction (PF), on the grid side, an active power filter (APF) is connected in parallel between the three-phase full bridge diode rectifier and the grid. The utility of the APF is to provide a unity power factor correction of arc welding power supply (AWPS). The predictive current control (PCC) and self-tuning filter (STF) are used to control the APF. On the arc welding machine side, an optimized FO-PID controller is used to control the welding current and voltage, by controlling the full bridge buck circuit, which offers many exceptional features, like a rapid response to load and grid voltage variations, and inherent short-circuit current limit which results in an improved welding performance and weld bead quality. the performance of the proposed configuration is examined in regards to its power quality given by reading the total harmonic distortion (THD) of the grid current is 3.47%, ensuring the best regulation of the DC-link voltage of APF, and providing a good tuning of the
Molecular modeling in the radiation therapy. The algebraic approach

The rapid development of the chemical industry and science, and new challenges in the healthcare sector, put forward increased demands for the development of the theory of organic and inorganic chemistry, for the search and implementation of new modeling and analysis methods, and for the improvement of technological processes. One of the main challenges at the intersection of chemistry, physics, biol- ogy, medicine, and genetics is the search for new methods and approaches to the diagnosis and treatment of cancer. A deeper understanding of cancer’s genetics and molecular biology has led to the identification of an increasing number of potential molecular targets that can be used for the discovery and development of anticancer drugs, radiation therapy, etc. One of the main places in this is occupied by molecular modeling. Despite the availability of more and more data on existing proteins and nucleic acids and the availability of modeling methods and tools, the development and use of a wide variety of combined methods and tools for modeling and computing large molecular systems remain an open issue. One of the possible solutions for this problem is the application of the algebraic approach and the corresponding formal methods, which have proven effective in many other fields today. The main idea of the research is the application of algebraic modeling technology and quantum chemical apparatus for modeling and verification of organic chemistry problems, in particular, modeling and analysis of radiation therapy problems. The paper presents the first steps of the research. The example of the formalization of the synchrotron operation principle and the example of the interaction of protons with substance in the example of the determination/calculation of the physically absorbed dose are given in the paper.
GA-PSO Integration Algorithm and Its Application in Modeling on Furnace Pressure System

PSO algorithm is a kind of swarm intelligence optimization algorithm which has the advantages of simple principle, easy implementation, few parameters needed to adjust and so on. However, the search accuracy of the basic PSO algorithm still needs to be improved. In this paper, a modified PSO algorithm using exponent decline inertia weight is put forward and successfully applied to the parameter identification of the furnace pressure system. This modified PSO algorithm combines the nonlinear optimization and genetic algorithm to optimize the inertia weight and acceleration constants of the basic PSO algorithm, and is proved to be effective in parameter identification.
Compass models: Theory and physical motivations

Compass models are theories of matter in which the couplings between the internal spin (or other relevant field) components are inherently spatially (typically, direction) dependent. A simple illustrative example is furnished by the 90\ifmmode^\circ\else\textdegree\fi{} compass model on a square lattice in which only couplings of the form ${\ensuremath{\tau}}_{i}^{x}{\ensuremath{\tau}}_{j}^{x}$ (where ${{\ensuremath{\tau}}_{i}^{a}{}}_{a}$ denote Pauli operators at site $i$) are associated with nearest-neighbor sites $i$ and $j$ separated along the $x$ axis of the lattice while ${\ensuremath{\tau}}_{i}^{y}{\ensuremath{\tau}}_{j}^{y}$ couplings appear for sites separated by a lattice constant along the $y$ axis. Similar compass-type interactions can appear in diverse physical systems. For instance, compass models describe Mott insulators with orbital degrees of freedom where interactions sensitively depend on the spatial orientation of the orbitals involved as well as the low-energy effective theories of frustrated quantum magnets, and a host of other systems such as vacancy centers, and cold atomic gases. The fundamental interdependence between internal (spin, orbital, or other) and external (i.e., spatial) degrees of freedom which underlies compass models generally leads to very rich behaviors, including the frustration of (semi-)classical ordered states on nonfrustrated lattices, and to enhanced quantum effects, prompting, in certain cases, the appearance of zero-temperature quantum spin liquids. As a consequence of these frustrations, new types of symmetries and their associated degeneracies may appear. These intermediate symmetries lie midway between the extremes of global symmetries and local gauge symmetries and lead to effective dimensional reductions. In this article, compass models are reviewed in a unified manner, paying close attention to exact consequences of these symmetries and to thermal and quantum fluctuations that stabilize orders via order-out-of-disorder effects. This is complemented by a survey of numerical results. In addition to reviewing past works, a number of other models are introduced and new results established. In particular, a general link between flat bands and symmetries is detailed.
A Stratosphere-Troposphere Data Assimilation System

Abstract A data assimilation system has been developed at the UK Meteorological Office to analyze the mix of observations available in the troposphere and stratosphere. The data assimilation system is based on the analysis correction scheme used at the UK Meteorological Office for operational weather forecasting. The assimilation system is currently being used to supply near real-time analyses of meteorological fields from the troposphere and stratosphere to the Upper Atmosphere Research Satellite (UARS) Science Team. At this stage, these analyses are based on a similar set of observations to the operational analyses, so they provide an independent check of the UARS observations. In the stratosphere they are largely based on soundings from the National Oceanic and Atmospheric Administration polar orbiters. Some results from the assimilation system are presented for periods in January and August 1992. They are compared with equivalent products from the National Meteorological Center. A particular study is .
Peran Kelompok Wanita Tani pada Program Pekarangan Pangan Lestari (P2L) Terhadap Pengembangan Life Skill Anggota Kelompok di Kabupaten Aceh Besar

Abstrak. Program pembangunan yang dapat memberdaya wanita untuk lebih produktif dan berkembang adalah program pekarangan pangan lestari. Penelitian ini bertujuan mengetahui bagaimana tingkat life skill anggota KWT pada program pekarangan pangan lestari di Kabupaten Aceh Besar dan bagaimana peran KWT pada program P2L terhadap pengembangan life skill anggota kelompok di Kabupaten Aceh Besar. Metode penelitian ini adalah survey dengan melakukan pendekatan secara deskriptif. Penelitian ini dianalisis menggunakan analisis deskriptif kuantitatif dan chi square. Penelitian ini menggunakan kuesioner berbentuk skala likert yang mengungkapkan data tentang peran KWT dan life skill anggota KWT. Respondennya ialah 90 orang, populasinya sebanyak 2160 orang. Hasil dari penelitian disimpulkan bahwa: 1) Secara umum tingkat life skill anggota KWT di Kabupaten Aceh Besar berada pada kategori sedang. 2) Secara umum peran KWT berpengaruh secara signifikan terhadap pengembangan life skill anggota kelompok di Kabupaten Aceh Besar. Secara parsial peran KWT sebagai wahana kerjasama dan unit produksi berpengaruh signifikan terhadap pengembangan Life Skill anggota kelompok di Kabupaten Aceh Besar. The Role of Women Farmers Groups in the Sustainable Food Yard Program on the Development of Life Skills for Group Members in Aceh Besar DistrictAbstract. A development program that can empower women to be more productive and develop is a sustainable food garden program. This study aims to find out how the level of life skills of KWT members in the sustainable food garden program in Aceh Besar District and what is the role of KWT in the P2L program in developing the life skills of group members in Aceh Besar District. This research method is a survey with a descriptive approach. This research was analyzed using quantitative descriptive analysis and chi square. This study used a questionnaire in the form of a Likert scale which revealed data about the role of the KWT and the life skills of KWT members. Respondents are 90 people, the population is 2160 people. The results of the study concluded that: 1) In general, the life skill level of KWT members in Aceh Besar District is in the moderate category. 2) In general, the role of KWT significantly influences the development of the life skills of group members in Aceh Besar District. Partially the role of KWT as a vehicle for cooperation and production units has a significant effect on the development of the Life Skills of group members in Aceh Besar District.
Derivations On a C∞-ring

The main purpose of this paper is to provide several results on objects lying between differential geometry and algebraic geometry such as C∞-rings and derivations on a C∞-ring. A C∞-ring is defined as a set with operations by C∞-functions on Euclidean spaces. A derivation on a C∞-ring is defined in two method, an ℝ-derivation and a C∞-derivation. The main result of this paper is to show that any ℝ-derivation is a C∞-derivation for some classes of C∞-rings (Theorems 3.1, 3.2).