nils-herrmann/clean_scirepeval huggingface dataset:
Sustained-Release Floating Drug Delivery Systems Prepared Using Three-Dimensional Printing

Sustained-release floating drug delivery systems (FDDSs) enable prolonged and continuous input of the drug to the upper parts of the gastrointestinal tract have been designed and fabricated using three dimensional printing (3DP) technology. A new strategy is proposed for the development of FDDSs. The design of FDDSs was based on the sustained release formulation, with low density and floating features in order to prolong the gastric retention time, with special surface textures and variations of drug distribution in the FDDSs for constant release profiles. The local variations of drug in the FDDSs were traced by methylene blue. To measure the floating force, a novel apparatus was developed. Duration of buoyancy and drug release profiles were determined in vitro. It was found that FDDSs were able to float on the dissolution medium 12h, which was the whole tests time periods, and free out the model drug metformin hydrochloride in a way of near zero-order kinetics. 3DP is able to offer possibility for developing FDDSs with complicated design features for providing long-time gastro-retention and desired drug release profiles.
A Cooperative Protection System with Multi-Agent System

This paper proposes a cooperative protection system with a multi-agent system. The proposed cooperative protection system is realized with a layered and distributed structure based on multi-agent technology, and it is capable of performing beyond the traditional function. Intelligent algorithms based on data collected locally or shared with other devices can be processed, and adaptive protection function can be achieved. Simulations are used to illustrate the proposed methods to distance protection function. Preliminary results show that the cooperative protection system is capable of improving performance of protection system
340-GHz 3-D Imaging Radar With 4Tx-16Rx MIMO Array

A standoff 3-D imaging radar for security body scan at 340 GHz has been described. This terahertz imager incorporates a multiple input multiple output (MIMO) array as an electronic beam former in a horizontal dimension and an elliptic cylinder as a focusing reflector in elevation. Frequency-modulated continuous-wave (FMCW) emission with 16-GHz bandwidth caused a 10-mm-range resolution after calibration for nonlinearities of the distorted radar signals. The horizontal MIMO array contains 4 transmitters and 16 receivers (4Tx-16Rx) to generate a 64-Tx/Rx full virtual array corresponding to an antenna size of approximately 128 mm, which caused a horizontal resolution of about 14 mm at a distance of 3 m. FMCW signals were transmitted from the 4-Tx sequentially and focused as narrow beam lines by the elliptic reflector to get a 12-mm vertical resolution at 3 m. A fast-scanning mirror swings in the light path to make these beam lines screen in the vertical direction. A 4-Hz frame rate is now possible for a personal screen with a field of view of 2 m × 0.6 m.
AC Loss Measurement of an HTS Cable Model With a Shield Through Virtual and Contactless Voltage Leads

We have been investigating, in a power grid of Korea Electric Power Corporation, 22.9- and 154-kV high-temperature superconductor (HTS) cables, in which a conductor and a shield are coaxially arranged. Because of the shield opposite to the current of the inner conductor, electrical evaluation of ac loss in these actual power cables is very difficult. Nevertheless, our previous work proposed its concept through two contact voltage leads, i.e., nominal conductor lead and shield lead soldered to the conductor and the shield, each by assuming a virtual lead, which cannot be really put on the conductor's surface. However, it is still uncertain in some ways. Thus, through installing contactless voltage leads and the virtual lead into an HTS cable model, in this paper, we clarify what the contact voltage leads pick up and what the relationship is between the conductor lead/shield lead and the virtual lead, which is directly set up on the conductor's surface of our model. The results show that the ac losses measured from the voltage leads (virtual lead/shield lead) contacted to the conductor and shield always fit well with those of their corresponding contactless voltage leads. According to Faraday's law, this implies that each contact voltage lead picks up the lossy flux of the conductor and shield and the lossy voltage induced along specific closed paths, i.e., contactless leads, encircling them, respectively. Then, losses from the virtual lead of the inner conductor are unchangeable regardless of the outer shield, but losses of the shield lead depend on not only the amplitude of the conductor's current but also its direction. Finally, the losses of the conductor lead, including the conductor and shield, are equal to the addition or subtraction of the virtual lead and shield lead, although it is influenced by their current transportation mode.
Attribute compression of 3D point clouds using Laplacian sparsity optimized graph transform

3D sensing and content capturing have made significant progress in recent years and the MPEG standardization organization is launching a new project on immersive media with point cloud compression (PCC) as one key corner stone. In this work, we introduce a new binary tree based point cloud partition and explore the graph signal processing tools, especially the graph transform with optimized Laplacian sparsity, to achieve better energy compaction and compression efficiency. The resulting rate-distortion operating points are convex-hull optimized over the existing Lagrangian solutions. Simulation results on the latest high quality point cloud content from the MPEG PCC demonstrate the transform efficiency and rate-distortion (R-D) optimal potential of the proposed solutions.
A color vector quantization based video coder

Color vector quantization (VQ) has been an efficient still image compression scheme as well as a popular bitmap graphics format for display devices with limited color capability. In this paper we are proposing a color vector quantization-based video coder, exploiting the temporal stationary nature of color distribution among a group of pictures (GOP) over a short period. Color VQ is applied first to reduce the RGB image sequence into a single channel color index image. Motion estimation and compression is then performed in the index space, instead of the separate YCbCr channels. Initial results demonstrated that the proposed coder can provide good compression rates. By eliminating the need for an inverse DCT and color conversion, typical requirements in a JPEG/MPEG type of coders, the decoding is computationally very simple. This makes it suitable for certain applications like media playback, and visual communications with low-end mobile devices.
Robust Lossless Data Hiding Scheme Based on Region Selection

Due to its superior performance, robust loss less data hiding algorithm based on statistics shifting has become hotspot in the field of data hiding recently. In this paper, on the basis of analyzing the principle of the statistics shifting algorithm, a novel robust loss less data hiding algorithm based on region selection is proposed. The proposed scheme divides a cover image into a number of non-overlapping sub regions, and then, uses image gray level co-occurrence matrix to calculate the complexity of each regions. Finally, the secret information is embedded into the optimal sub region, which is measured by the complexity. Experimental results show that the proposed algorithm has a good performance in terms of visual quality and robustness. Compared with the previous algorithm, the PSNR of proposed scheme increases 4.55 dB, and the survival bit rate decreases of 32%.
Study on Simulation Technology of 3G Mobile Communication Network

The simulation technology of 3G mobile communication network is a very important part of network researching. It can increase researching efficiency and decrease developing cost of network. At first, in this paper, we have discussed producing method of some kinds of stochastic numbers, include heavy- tail distributing stochastic numbers, which often used in network simulation. We have also introduced structure of UMTS (Universal Mobile Telecommunication System). Finally, a 3G mobile communication network simulation model has been set up.
Finite Element Analysis of Two-Dimensional Metal Cutting Process

Based on LS-DYNA software, metal cutting processes are dynamically simulated by using 2D r-adaptive method. The mechanisms of plastic deformation and chip formation in metal cutting are analyzed. The influences of tool rake angle and friction factor on cutting deformation are analyzed and deformation extent is measured by plastic deformation energy. According to the distribution of stress and strain gotten from the cutting simulation, the generation of compression stress and residual tension stress of the workpiece is analyzed. The distribution of cutting temperature field is also analyzed. The research method can effectively apply to the study of metal cutting theory. It is helpful for the selection of bit tool and technological design of machining.
Based on Fuzzy Petri Nets Binding Nature of the Planning Study

When planning agent is used to solve the binding plan, it should not only get the solution of problem, but also consider the credibility of binging solution in the problem. In this paper, we studies solution of the complex planning in a variety of constraints, using a tool of fuzzy Petri Nets combined with fuzzy reasoning algorithm. In addition, we identify the most important constraints and calculate the credibility of various binding conditions in planning by the formal reasoning algorithm of fuzzy reasoning process. And finally testifies the accuracy and effectiveness of the algorithm through a practical example. Keyword- Planning Fuzzy Petri Nets,Binding nature of the planning; Fuzzy Reasoning Algorithm
Papain Immobilization on Chitosan-Coated Nylon Membrane: Preparation and Its Application in Cystatin Separation

Nylon membranes are first hydrolyed with dilute HCl and then treated with chitosan before being used as the affinity carrier. Papain as a ligand has been immobilized on the activated membranes with glutaraldehyde as a crosslinking agent. The factors involving with the activity of immobilized papain, such as concentration of glutaraldehyde, pH, temperature, reaction time, and the amount of added papain have been studied. The results show that the optimum conditions for the preparation of immobilized papain nylon affinity membranes are as follows: pH 9.0, 0.5% glutaraldehyde solution, the concentration of added papain is 10 mg/ml, the reaction time is 6 h at 45degC. The nylon membrane prepared is then used to purify cystatin from potato juice, and shows that they are high efficiency affinity membranes base for cystatin separation.
Research of semantic storage system for MP3

Today, easy accessing and quick searching method for media files in the mass storage system is still a difficult problem. This paper proposed a Web based semantic storage system for MP3. This system uses metadata and tags as added attributes to describe MP3 files. MP3 files are presented to user in Web pages with file virtualization technology, and users can access and search MP3 files by separated storage of tags through browser. This system can increase storage efficient by accessing MP3 with multi-paths and searching MP3 with semantic method.
Role-based database design for managing complex objects and their relationships on the Web

There are many applications that have complex structures, complex relationships and dynamic changes. There is a trend to publish information and do work on the Internet. The traditional object oriented method cannot fulfill the need of such systems. We define a new process method. First we use the semantic network to describe the requirement of the application. Then role theory and the authorization tree are used to design the database of the system. This method is very distinct and easy to use in the development of Web-based applications.
Analyzing inland-orientation of port supply chain based on advertising-R&D model

Adapting to freight transport new demands of reliability, timely delivery and flexibility, port supply chain is in teg lilted maritime transport and inland transport sub-systems, seamless connecting with “first mile” and “last mile”, learning from Cobb-Douglas production function, combined game theory and based on advertising-R&D model, from the perspective of the port supply chain analyzing game strategy of gateway port and inland port, comparing Nash equilibrium status of input resource quantity and individual and overall profits, through the establishment of subsidy mechanism between gateway port and inland port to stimulate port supply chain partners working together, builds a scheme of added benefit distribution according to Rubinstein's alternating offer model in favor of strengthening cooperation & coordination and optimization & integration of the port supply chain, in addition to realization inter-regional cooperation of the developed coastal regions and inland areas of developing by logistics corridor offers a viable market mechanism way,
Oxide Electric-Double-Layer Transistors Gated by a Chitosan-Based Biopolymer Electrolyte

Indium-zinc-oxide (IZO) electric-double-layer transistors are fabricated on proton conducting chitosan-based biopolymer electrolyte. Due to the extremely strong proton gating originated from proton migration within the chitosan films, good electrical performances are obtained. Characteristic time for the proton gating is estimated to be on the order of several milliseconds. Furthermore, a resistor loaded inverter is built, showing a high-voltage gain of ~9 at a low supply voltage of 1.2 V. The proton-gated IZO transistors may find potential applications in portable electronics and synaptic electronics.
Subspaces Indexing Model on Grassmann Manifold for Image Search

Conventional linear subspace learning methods like principal component analysis (PCA), linear discriminant analysis (LDA) derive subspaces from the whole data set. These approaches have limitations in the sense that they are linear while the data distribution we are trying to model is typically nonlinear. Moreover, these algorithms fail to incorporate local variations of the intrinsic sample distribution manifold. Therefore, these algorithms are ineffective when applied on large scale datasets. Kernel versions of these approaches can alleviate the problem to certain degree but face a serious computational challenge when data set is large, where the computing involves Eigen/QP problems of size N × N. When N is large, kernel versions are not computationally practical. To tackle the aforementioned problems and improve recognition/searching performance, especially on large scale image datasets, we propose a novel local subspace indexing model for image search termed Subspace Indexing Model on Grassmann Manifold (SIM-GM). SIM-GM partitions the global space into local patches with a hierarchical structure; the global model is, therefore, approximated by piece-wise linear local subspace models. By further applying the Grassmann manifold distance, SIM-GM is able to organize localized models into a hierarchy of indexed structure, and allow fast query selection of the optimal ones for classification. Our proposed SIM-GM enjoys a number of merits: 1) it is able to deal with a large number of training samples efficiently; 2) it is a query-driven approach, i.e., it is able to return an effective local space model, so the recognition performance could be significantly improved; 3) it is a common framework, which can incorporate many learning algorithms. Theoretical analysis and extensive experimental results confirm the validity of this model.
Design and Test Performance of 2G Pancake Coils for HTS DC Induction Heater Prototype

To improve the poor efficiency of the conventional induction heater using copper coil, a high temperature superconducting (HTS) DC induction heater is considered. In this study, we designed and built an HTS DC induction heater prototype with an iron core, and tested the insulated and no-insulation (NI) double pancake coils (DPCs). The results show that the critical currents of the DPCs with the iron core somewhat decrease than those without the iron core. The V-I curve of the insulated coil is a standard one of the superconductor, but a linear voltage appears in the NI coil due to the contact resistance between neighboring wires. For the insulated coil, the magnetic flux density of the air core is proportional to the coil current. However, a charging delay is found in the NI coil: The increment of the magnetic flux density for the NI coil is negligible when the current is increasing at first. Then the magnetic flux density increases and finally saturates even if the current is stable. The inductance of the coil with the iron core is about six times of that without the iron core.
Magnetically tunable substrate integrated waveguide bandpass filters employing ferrites

A novel tuning solution for planar reconfigurable microwave filters is presented. The proposed filters are implemented using substrate integrated waveguide (SIW) technology featuring compact size, low cost, high Q, and high power-capacity. Tunablity of the proposed reconfigurable filters is achieved by adjusting dc-magnetic bias applied to the ferrite material. Compared to the previously reported reconfigurable filters based on electrical adjustment enabled by mechanical modifications, the proposed filters offer a relatively wide tuning range and stable tenability, while dramatically reducing the complexity of external control system. Effects of filters parameters' including the ferrite material, magnetic DC bias, and SIW configuration, on reconfigurable performance are discussed. Simulation examples of single-circulator and double-circulators tunable bandpass filters are realized using EM simulations for demonstrating the underlying principle.
Research on distributed transmission of power telecontrol information based on ACSI/MMS

This paper introduces the problems existing in the current communication protocols for power telecontrol system. A communication network structure for power telecontol system based on abstract communication service interface(ACSI) in IEC 61850 and manufacturing message specification (MMS) is proposed. To solve the compatibility of the existing power telecontrol system with new ones based on IEC 61850, a communication scheme based on ACSI/MMS gateway has been put forward. Combined with the requirement of power telecontrol communication, a real-time communication software for power telecontrol system is implemented applying a subset of MMS and OSI protocol stack. The validity and feasibility of the proposed models and methods have been proven through developing and testing a prototype system.
Surface Modification of Electrospun Nylon Nanofiber Based Dye Affinity Membrane and Its Application to Papain Adsorption

Electrospun nylon-6 nanofibrous membrane with fiber diameters in the range of 50-200 nm were prepared and employed as affinity membrane material for papain adsorption due to their excellent chemical and thermal resistance as well as high wettability. In this work, covalent coupling of chitosan (CS) to activated nylon membrane was performed after the reaction of the nanofibrous nylon membrane with formaldehyde. The dye Cibacron Blue F3GA (CB) as a ligand was then covalently immobilized on the CS-coated membranes. Physical properties of the composite membrane and its applications in affinity membrane chromatography were examined. These CB F3GA-attached composite membranes were used in the papain adsorption studies. Higher papain adsorption capacity, up to 133.2 mg/g affinity membrane, was obtained. The chemical-modified CS-nylon nanofiber membrane with the CB as ligand could become the low-cost but high efficiency affinity membranes base for papain separation.
Research on the detected technology of cottonseeds based on image recognition

The paper is to achieve the detection to red cottonseeds and crashed cottonseeds of Xinjiang, built up inspection and grading system of red cottonseeds and crashed cottonseeds based on the image recognition technology. After took analysis and pretreatment to the image of cottonseeds, color model for red cottonseeds were obtained—HIS color model. Distilled the key character parameters of cottonseeds: proportion, perimeter, circularity, major and minor axis, Chose circularity as the detecting character of crashed cottonseeds based on the analysis of these character parameters. Selected 200 cottonseeds of Xinluzao-26#at random for the experiment, the detecting precision of red cottonseeds had achieved 93.5%, and the detecting precision of crashed cottonseeds had achieved 85.7%.
Research on controllable damping technology and simulation of hybrid machine tool

Aiming at 3-TPS hybrid machine tool characteristics, controllable damping technique is adopted in control system of hybrid machine tool, which not only can enhance stability of machine tool, but also effectively restrain vibration influence in machining process. Controllable damper influenced on machine tool is analyzed in theory; then taken vibration testing in dynamic characteristic as an example, by using ADAMS software simulation validates the method which indicates adjustable damper control technique can enhance dynamic characteristic of machine tool.
Compact deep neural networks for device based image classification

Convolutional Neural Network (CNN) is efficient in learning hierarchical features from large image datasets, but its model complexity and large memory foot prints are preventing it from being deployed to devices without a server back-end support. Modern CNNs are always trained on GPUs or even GPU clusters with high speed computation capability due to the immense size of the network. A device based deep learning CNN engine for image classification can be very useful for situations where server back-end is either not available, or its communication link is weak and unreliable. Methods on regulating the size of the network, on the other hand, are rarely studied. In this paper we present a novel compact architecture that minimizes the number and complexity of lower level kernels in a CNN by separating the color information from the original image. A 9-patch histogram extractor is built to exploit the unused color information. A high level classifier is then used to learn the combined features obtained from the compact CNN that was trained only on grayscale image with limited number of kernels, and the histogram extractor. We apply our compact architecture to Samsung Mobile Image Dataset for image classification. The proposed solution has a recognition accuracy on par with the state of the art CNNs, while achieving significant reduction in model memory foot print. With this advantage, our model is being deployed to the mobile devices.
Tunable 1550-nm high contrast grating VCSEL detector

We report a 1550-nm tunable transceiver using a monolithic high contrast grating VCSEL, functioning as both a laser and detector. A 1A/W responsivity, 33.5 nm tuning range, 1.2 nm spectrum width and 2.5 Gb/s detection speed are achieved at its detector mode. An error-free 1 Gb/s link between two such VCSEL detectors is experimentally demonstrated.
An Intelligent Search Technique to Train Scheduling Problem Based on Genetic Algorithm

Genetic algorithms are generally used to solve NP-complete problems, which include the train scheduling problem. Train scheduling consists of finding optimal arrival, departure, and dwelling times at the train stations. The objective is to minimize the associated delay that is the waiting times at the station. In this paper, we present an application of genetic algorithms to a generic train scheduling problem. The necessary algorithmic solution is described together with some empirical observations about the performance of our train scheduling model. It is concluded that our model is able to produce useful results in terms of minimizing delays and producing optimal schedules