Miracle-dz/UniFAR-FTUs huggingface dataset:
Aligning Algorithm of 3D Point Cloud Model Based on Dimensionality Reduction

With the rapid improvement of three-dimensional scanner hardware technology, the accuracy of the point cloud is getting higher and higher, so the number of point-clouds is increasing shar ply, which greatly affects the speed and performance of point-cloud registration. Based on feature matching and ICP algorithm, a 3D point-cloud model stitching algorithm by using Kinect sensors scanning was proposed. In this algorithm, the three-dimensional point-clouds were projected to image plane to get the two-dimensional matching feature points. By using the hash index table, the two dimensional matching feature points are correctly projected back into the three-dimensional space. Finally, the transformation matrix is obtained by using three-dimensional matching points and decomposition of SVD. The model obtained by using the transformation matrix in different angles can realize automatic and correct splicing. The experimental results show that the proposed algorithm can achieve efficient and accurate stitching models to verify the accuracy and validity of this algorithm.
System evaluation of optimal downlink beamforming in wireless communication

We investigate the use of joint optimal downlink beamforming, power control and access point allocation, in a multicell SDMA system. Smart antennas are used at the access points and single antennas are used at the terminals. The possibility to send messages to multiple terminals on the same frequency in the same time slot is exploited. An algorithm for removing users from a congested system, in order to avoid outage is proposed and evaluated Results show that the proposed algorithm gives substantial increase of the system performance compared to random removal of users.
A Two-Tiered Recommender System for Tourism Product Recommendations

Existing travel recommender systems have difficulty in automating word-of-mouth communication and tend to only mimic the role of traditional travel agents. This study proposes a novel travel recommender system based on collaboration filtering and approximate constraint satisfaction that can automate word-of-mouth communication and provide personalized travel services. The proposed travel recommender system models a tourist's personal needs as a constraint satisfaction problem and helps the user build a personalized travel plan. However, because the existing constraint satisfaction method is often too rigid, this study adopts an approximate constraint satisfaction method by incorporating indifference intervals into constraints. We implement a prototype system and verify the effectiveness and usability of the system. The experiment results show that it is a promising system for the automation of word-of-mouth communication on the destination and user-defined travel planning service.
Obstacle Detection in a See-and-Avoid System for Unmanned Aerial Vehicles

The purpose of this thesis is to investigate the possibilities of developing a sufficiently effective real-time see-and-avoid system for Unmanned Aerial Vehicles (UAV) using Commercial-Off-The-Shelf (COTS) hardware and free, publicly available computer vision libraries. This has been done primarily by making an exposition of some interesting detection techniques available in one of the available computer vision libraries, Intel OpenCV, and by making limited test implementations of some these techniques. A part of the thesis has also been devoted to examining the limitations that come from the video hardware available. This thesis is focused mainly on the detection aspect of see-and-avoid systems. The tracking aspect is examined in a master’s thesis by Johan Driessen, “Object Tracking in a Autonomous Computer Vision based See-and-Avoid System for Unmanned Aerial Vehicles”, who has been working together with the author of this thesis on the fundamentals. It is highly suggested that both theses are read together for a more complete view of the problem. As the time for this study is limited, it is not possible to investigate every possible angle of the detection problem. The primary limitations regard the flight situation that we look at: • The UAV will fly level flight at constant attitude angles and airspeed • The UAV will fly at medium to high altitude • Only objects that appear above the horizon will be considered. • Accurate navigation data available for the see-and-avoid system. The primary result of this thesis is that several efficient detection algorithms are available for use in a see-and-avoid system. The success of these detection algorithms is highly dependant on light conditions, colour and intensity of the object compared to the background etc. Furthermore, problems exist with current standard PAL video cameras not having sufficient resolution to detect objects at great distances whilst sill having an adequate filed of view. However, as video systems with higher resolutions are expected to become more common, computer vision-based see-and-avoid systems using COTS hardware will nevertheless be interesting in future research work. Obstacle Detection in a See-and-Avoid system for UAVs
Secrecy performance analysis in multi-relay DF cognitive relay networks under interference constraints

We study the multiple relay cognitive relay network under the interference constraints of primary user in this paper, and the secrecy performance of the secondary network with the decode-and-forward (DF) relaying protocol is analysed. Secrecy outage probabilities in accurate and asymptotic forms and the probabilities of nonzero secrecy capacity are derived respectively to evaluate our proposed system secrecy performance, when the conventional relay selection is employed to select the best relay. There exists direct links, and all channels we considered are Rayleigh fading channels. In the high main-to-eavesdropper ratio environment, we can realize that the system diversity order equals to K + 1 from asymptotic secrecy outage probabilities, where K represents the quantity of relays. We also present Monte Carlo simulation results, which can validate the accuracy of analytic results.
Shareholder Activism

Shareholder activism has become a dynamic institutional force, and its associated, rapidly increasing body of scholarly literature affects numerous disciplines within the organization science academy. In addition to equivocal results concerning the impact of shareholder activism on corporate outcomes, the separation of prior research into financial and social activism has left unanswered questions critical for both the scholarly discourse on shareholder activism and the normative debate on shareholder empowerment. The heterogeneity of factors in shareholder activism, such as the firm, activist, and environmental characteristics that promote or inhibit activism, along with the breadth of activism’s issues, methods, and processes, provide a plethora of theoretical and methodological opportunities and challenges for activism researchers. Our multidisciplinary review incorporates the financial and social activism streams and explores shareholder activism heterogeneity and controversy, seeking to provide an impetus for more cohesive conceptual and empirical work in the field.
Requirement of protein phosphatase 2A for recruitment of IQGAP1 to Rac‐bound β1 integrin

Serine/threonine protein phosphatase (PP) 2A is thought to dephosphorylate phosphorylated β1 integrin to link with actin filaments (F‐actin). However, whether PP2A participates in the regulation of F‐actin assembly to which β1 integrin is anchored is unclear. We report here that the core enzyme of PP2A (PP2A‐AC), consisting of the regulatory subunit A (PP2A‐A) and the catalytic subunit C (PP2A‐C), forms a complex with β1 integrin, a small GTPase Rac, and its effector IQGAP1 in non‐malignant human mammary epithelial (HME) cells. Treatment of HME cells with okadaic acid (OA), an inhibitor of PP2A, caused cell rounding, reduction in F‐actin assembly that links with β1 integrin, and dissociation of IQGAP1‐bound PP2A‐AC from Rac‐β1 integrin. The dissociation of IQGAP1‐PP2A‐AC was accompanied by loss of F‐actin gelating activity of Rac‐β1 integrin. In breast cancer MCF‐7 cells, which possess PP2A‐C but lack PP2A‐A, IQGAP1 was not associated with Rac‐β1 integrin but with PP2A‐C, with no distinct F‐actin assembly that linked to Rac‐β1 integrin even before treatment with OA. We therefore propose that PP2A, especially PP2A‐A, functions to maintain F‐actin assembly to which β1 integrin is anchored by recruitment of IQGAP1 to Rac‐β1 integrin. © 2004 Wiley‐Liss, Inc.
The Korean Research & Development Program on Micro‐Electro‐Mechanical Systems (MEMS) in medical applications

Non or minimally invasive approaches for medical applications are very important for the alleviation of patient complaints. The miniaturization of medical devices using micro & nano technologies might be one of the possible solutions. Several national research and development (R&D) programs have been launched by the Korean government to further the development of biological & medical micro/nano devices in this country. This paper gives an overview of the current status of national R&D programs which are related to the development of micro‐electro‐mechanical systems (MEMS)/Nano technology in biological and medical applications and discusses the main activities of each program
Segmentation of coring images using fully convolutional neural networks

As a first step in building a toolkit for the computer analysis of images of sea floor sediment cores, we introduce a technique to automate a time consuming manual phase of said analysis. The retrieved cores contain artifacts, e.g., induced by the extraction itself, the removal of which improves the efficiency of environmental reconstruction. From a computer vision perspective, the task of identifying those artifacts is an image segmentation problem. The method we describe as a solution uses the recently introduced fully convolutional neural networks (FCN), which have been shown to be very efficient in segmenting images.
Identification of Rare & Novel Senses Using Translations in a Parallel Corpus

The identification of rare and novel senses is a challenge in lexicography. In this paper, we present a new method for finding such senses using a word aligned multilingual parallel corpus. We use the Europarl corpus and therein concentrate on French verbs. We represent each occurrence of a French verb as a high dimensional term vector. The dimensions of such a vector are the possible translations of the verb according to the underlying word alignment. The dimensions are weighted by a weighting scheme to adjust to the significance of any particular translation. After collecting these vectors we apply forms of the K-means algorithm on the resulting vector space to produce clusters of distinct senses, so that standard uses produce large homogeneous clusters while rare and novel uses appear in small or heterogeneous clusters. We show in a qualitative and quantitative evaluation that the method can successfully find rare and novel senses.
Penjadwalan Perkuliahan Menggunakan Algoritma Hill Climbing

Scheduling courses become an important part of teaching and learning in a university. Informatics Engineering Program at Pamulang University has a considerable number of classes, lecturers, lectures, and lecture time. So the process of making the lecture schedule is a complex process, and takes a long time. Timetabling which resulted is often not as expected, because there are still clashing. To help solve the problem, it is proposed the development of lecture scheduling application by applying hill climbing algorithm as the search process, because it is considered to have good search results. Application of hill climbing algorithm in this application is used to collect all possible solutions. From the research conducted, it can be concluded that hill climbing algorithm can get optimal course scheduling solution and make it easier for Pamulang University staff to make schedule every semester.
A Novel nand Flash Memory With Asymmetric S/D Structure Using Fringe-Field-Induced Inversion Layer

A NAND flash memory device for sub-40-nm-node technology and beyond utilizing an asymmetric source/drain (S/D) structure to suppress short-channel effects and improve the th distribution is presented in this paper. The asymmetric S/D structure consists of a diffused junction and inversion layer which is induced by the fringe field of the gate bias voltage during NAND operation. To reduce the area overhead caused by the select transistors, a 64-cell NAND string, which is twice the number of cells used in conventional NAND devices, is also evaluated. The proposed NAND memory device is demonstrated by a 32-Mb test chip which is fabricated using a 60-nm NAND flash technology. It exhibits subthreshold slope characteristics that improved by 37% and a programmed th distribution width that improved by 35% while almost maintaining multiple-level-cell NAND flash performance requirements.
Superresolution Mapping of Remotely Sensed Image Based on Hopfield Neural Network With Anisotropic Spatial Dependence Model

Superresolution mapping (SRM) based on the Hopfield neural network (HNN) is a technique that produces land cover maps with a finer spatial resolution than the input land cover fraction images. In HNN-based SRM, it is assumed that the spatial dependence of land cover classes is homogeneous. HNN-based SRM uses an isotropic spatial dependence model and gives equal weights to neighboring subpixels in the neighborhood system. However, the spatial dependence directions of different land cover classes are discarded. In this letter, a revised HNN-based SRM with anisotropic spatial dependence model (HNNA) is proposed. The Sobel operator is applied to detect the gradient magnitude and direction of each fraction image at each coarse-resolution pixel. The gradient direction is used to determine the direction of subpixel spatial dependence. The gradient magnitude is used to determine the weights of neighboring subpixels in the neighborhood system. The HNNA was examined on synthetic images with artificial shapes, a synthetic IKONOS image, and a real Landsat multispectral image. Results showed that the HNNA can generate more accurate superresolution maps than a traditional HNN model.
Kineto-Elastodynamic Characteristics of the Six-Degree-of-Freedom Parallel Structure Seismic Simulator

Based on the kineto-elastodynamic assumptions, the dynamic model of the six-degree-of-freedom parallel structure seismic simulator is developed by virtue of the finite element method and the substructure synthesis technique. The kineto-elastodynamic characteristics represented by the natural frequency, the sensitivity analysis, the energy ratios, and the displacement response of the moving platform are investigated. It is shown that the second-order natural frequency is much higher than the first-order natural frequency, and the first-order natural frequency is sensitive to the radius of the strut and the radius of the lead screw. In order to improve the dynamic characteristic of the manipulator, the mass of the moving platform should be reduced or the stiffness of the strut should be increased especially for the sixth strut. For the investigated trajectory, the displacement response of the moving platform along the x direction is smaller than these displacement responses along the y direction and along the z direction. The angular displacement response of the moving platform rotating about z-axis is slightly larger than those angular displacement responses rotating about the x-axis and about the y-axis.
Maximum loading point computation based on load flow with step size optimization

In this paper, a fast and effective maximum loading point (MLP) calculation method is presented. This calculation process is based on the properties of the normal vector to the feasibility boundary computed close to MLP, which is calculated through a load flow method with step size optimization (LFSSO). The process is characterized by obtaining consecutive approximations of the MLP within the unfeasible region. Since the feasibility boundary contour in the neighborhood of the MLP may be non convex, some of the computed approximations may fall within the feasible region. Thus, a mechanism based on binary search is used to drive the operating point back to the infeasible region. Reactive power generation limits are taken into account. The MLP is accurately obtained after just a few steps, demonstrating the efficiency of the proposed method. Also, other load curtailment methods are studied and compared with the proposed method. The proposed formulation requires the same information (normal vector, power mismatches) and results in a better convergence path towards MLP. Simulation results for IEEE test systems are shown to validate the proposed method.
Imaging of prompt gamma rays emitted during delivery of clinical proton beams with a Compton camera: feasibility studies for range verification

The purpose of this paper is to evaluate the ability of a prototype Compton camera (CC) to measure prompt gamma rays (PG) emitted during delivery of clinical proton pencil beams for prompt gamma imaging (PGI) as a means of providing in vivo verification of the delivered proton radiotherapy beams. A water phantom was irradiated with clinical 114 MeV and 150 MeV proton pencil beams. Up to 500 cGy of dose was delivered per irradiation using clinical beam currents. The prototype CC was placed 15 cm from the beam central axis and PGs from 0.2 MeV up to 6.5 MeV were measured during irradiation. From the measured data (2D) images of the PG emission were reconstructed. (1D) profiles were extracted from the PG images and compared to measured depth dose curves of the delivered proton pencil beams. The CC was able to measure PG emission during delivery of both 114 MeV and 150 MeV proton beams at clinical beam currents. 2D images of the PG emission were reconstructed for single 150 MeV proton pencil beams as well as for a 5 × 5 cm mono-energetic layer of 114 MeV pencil beams. Shifts in the Bragg peak (BP) range were detectable on the 2D images. 1D profiles extracted from the PG images show that the distal falloff of the PG emission profile lined up well with the distal BP falloff. Shifts as small as 3 mm in the beam range could be detected from the 1D PG profiles with an accuracy of 1.5 mm or better. However, with the current CC prototype, a dose of 400 cGy was required to acquire adequate PG signal for 2D PG image reconstruction. It was possible to measure PG interactions with our prototype CC during delivery of proton pencil beams at clinical dose rates. Images of the PG emission could be reconstructed and shifts in the BP range were detectable. Therefore PGI with a CC for in vivo range verification during proton treatment delivery is feasible. However, improvements in the prototype CC detection efficiency and reconstruction algorithms are necessary to make it a clinically viable PGI system.
Aortic root dimension and arterial stiffness in arterial hypertension: the Campania Salute Network

Objectives: The relation between aortic root dimension (ARD) and measures of arterial stiffness is uncertain. Accordingly, we studied the relation between ARD and an estimate of arterial stiffness in 12 392 hypertensive patients (age 53 ± 12 years, 43% women) free of prevalent cardiovascular disease and with ejection fraction at least 50%, from the Campania Salute Network Registry. Methods: Echocardiographic ARD was measured and compared with the value predicted by age, sex and height by using a z-score. Arterial stiffness was assessed by the pulse pressure/stroke index. The highest population tertile of pulse pressure/stroke index was considered ‘high arterial stiffness’. Results: High arterial stiffness was more common in women than in men (P < 0.001) and associated with older age, diabetes, longer duration of hypertension and less frequent smoking habit (all P less than 0.01). Patients with high arterial stiffness had smaller ARD, higher carotid intima–media thickness and plasma cholesterol, and lower BMI and glomerular filtration rate (all P less than 0.01). In multivariable logistic analysis, high arterial stiffness was associated with both lower ARD z-score [OR 0.83 (95% confidence interval 0.79–0.88)] and higher carotid intima–media thickness [OR 1.36 (95% confidence interval 1.26–1.47); both P less than 0.0001], independent of significant associations with age, female sex, body size, DBP, heart rate, duration of hypertension, diabetes and smoking habit. Conclusion: Small ARD, together with atherosclerotic modifications of conduit arteries, is associated with increased 2-element Windkessel model of arterial stiffness in hypertension, independently of the significant effect of confounders.
A Second Extracellular Site Is Required for Norepinephrine Transport by the Human Norepinephrine Transporter

The human norepinephrine transporter (NET) is implicated in many neurological disorders and is a target of tricyclic antidepressants and nisoxetine (NX). We used molecular docking simulations to guide the identification of residues likely to affect substrate transport and ligand interactions at NET. Mutations to alanine identified a hydrophobic pocket in the extracellular cavity of NET, comprising residues Thr80, Phe317, and Tyr317, which was critical for efficient norepinephrine (NE) transport. This secondary NE substrate site (NESS-2) overlapped the NX binding site, comprising Tyr84, Phe317, and Tyr317, and was positioned ∼11 Å extracellular to the primary site for NE (NESS-1). Thr80 in NESS-2 appeared to be critical in positioning NE for efficient translocation to NESS-1. Three residues identified as being involved in gating the reverse transport of NE (Arg81, Gln314, and Asp473) did not affect NE affinity for NESS-1. Mutating residues adjacent to NESS-2 abolished NET expression (D75A and L76A) or appeared to affect NET folding (S419A), suggesting important roles in stabilizing NET structure, whereas W308A and F388A at the top of NESS-2 abolished both NE transport and NX binding. Our findings are consistent with a multistep model of substrate transport by NET, for which a second, shallow extracellular NE substrate site (NESS-2) is required for efficient NE transport by NET.
Bacteriophage P 1 Site-specific Recombination

Bacteriophage P1 encodes a site-specific recombination system that consists of a site (loxP) at which recombination occurs and a gene, ere, whose protein product is essential for recombination. The loxP-Cre recombination event can be studied in greater detail by the use of an in vitro system that efficiently carries out recombination between two loxP sites. This paper presents a purification and characterization of the Cre protein (Mr = 35,000), which is the only protein required for the in vitro reaction, No high energy cofactors are needed. The purified Cre protein binds to loxPcontaining DNA and makes complexes that are resistant to heparin. Cre efficiently converts 70% of the DNA substrate to products and appears to act stoichiometrically. The action of Cre on a loxP2 supercoiled substrate containing two directly repeated loxP sites results in product molecules that are topologically unlinked. Several models to account for the ability of Cre to produce free supercoiled products are discussed.