Miracle-dz/UniFAR-FTUs huggingface dataset:
A decentralized proportional-integral sliding mode tracking controller for robot manipulators

This paper presents a decentralized proportional-integral (PI) sliding mode tracking control for a class of robot manipulators. A robust decentralized sliding mode controller is derived so that in each of the sub-system, the actual trajectory tracks the desired trajectory using the information available only on the local states. The PI sliding mode is chosen to ensure the stability of overall dynamics during the entire period i.e. the reaching phase and the sliding phase. It is shown theoretically and by simulation that manipulator systems controlled by the proposed decentralized control law are practically stable.
Proceedings of the 4th Asian Internet Engineering Conference

On behalf of the Technical Program Committee (TPC), we are glad to welcome you to the 9th edition of the Asian Internet Engineering Conference (AINTEC) held in Chiang Mai, Thailand, on November 2012. AINTEC provides an international technical forum for experts from industry and academia, especially aiming at addressing issues pertinent to the Asia and Pacific region with vast diversities of socio-economic and networking conditions while inviting high quality and recent research results from the global Internet research community.
A Clustered Routing Protocol with Distributed Intrusion Detection for Wireless Sensor Networks

Clustered routing protocols in wireless sensor networks(WSN) provide significant advantages for energy saving and data reprocessing.However,the reliability and security of the communications abiding by those protocols greatly depend on the cluster heads in which the severe security problems will possibly happen.So, a clustered routing protocol with distributed intrusion detection(DID) is proposed,i.e.,all the nodes in WSN are involved in order for the preset of cipher keys to identify/detect the intrusive cluster heads in a distributed way.Experimental results demonstrated that compared with the classic cluster-based routing protocols in WSN,the energy consumption by the protocol with DID is quite less and presents a linear relationship with the tolerance of intrusive nodes.
New assessment method on influence of bloggers in community of Chinese microblog

Based on the traditional PageRank algorithm,a new algorithm model is present to assess the influence of bloggers in community of microblog.The influence of bloggers in the microblog community reflects its authority,is one of the core concept of microblog community research.Through statistic analysis about the network characteristics on average degree,clustering coefficient and average path length indicators,which verify microblog community networks have a"Small World"significant features.Through two indicators of activity of users and blog quality,bloggers impact assessment system is constructed.Introduced the factor of the spread ability of the bloggers,the idea of PageRank algorithm is used to design a new influence ranking algorithm model(Influence Rank)to assess the blogger influence.Through the experimental comparison,it finds that Influence Rank algorithm in addition to considering the relationship of the node also takes into account the characteristics of the node itself,which can more accurately and objectively reflect the blogger's influence ranking.
A WSN Architecture Based on SDN

In this paper, we introduce software-defined networking (SDN) into wireless sensor networks (WSNs) for saving energy and smart management. We propose a generic architecture for the base station in a software-defined wireless sensor network. We also propose a general framework for a software-defined wireless sensor network where the controller is implemented at the base station. Lastly, we compare LEACH protocol and the SDN-WSN framework by discussing and analyzing, the performance and energy consumption of SDNWSN framework is better than LEACH.
Self-healing group key distribution scheme with revocation based on dual directional hash chain

A self-healing group key distribution scheme with revocation in MANET using dual directional hash chain was proposed.The association relation between different session keys was built.By means of broadcast information and own secrets,the legal nodes which lost some legal session keys due to network faults could be capable of recovering such lost session keys on their own,without requiring additional transmission from the group manager.The group manager could revoke the group nodes by revocation polynomial.Node was endowed with a set of masking secret according to its life-cycle.Through the security and efficiency analysis,the key distribution scheme reduces communication cost and storage cost yet still achieves security property.
Classification using single neuron

Since the neuron is the basic information processing unit of the brain, the ANN have played a great role in the study of the brain. Because of the complexity and less understanding about the biological neurons, many scientists and researchers have given various architecture for it. Experimental studies in the area of neuroscience has proven that the response of a biological neuron appears random and the predicted results can be obtained in many ways. We have presented some new models of the artificial neuron that can be used to solve the various bench-mark problems in a very simple and systematic manner.
Network of Bandits insure Privacy of end-users

In order to distribute the best arm identification task as close as possible to the user's devices, on the edge of the Radio Access Network, we propose a new problem setting, where distributed players collaborate to find the best arm. This architecture guarantees privacy to end-users since no events are stored. The only thing that can be observed by an adversary through the core network is aggregated information across users. We provide a first algorithm, Distributed Median Elimination, which is optimal in term of number of transmitted bits and near optimal in term of speed-up factor with respect to an optimal algorithm run independently on each player. In practice, this first algorithm cannot handle the trade-off between the communication cost and the speed-up factor, and requires some knowledge about the distribution of players. Extended Distributed Median Elimination overcomes these limitations, by playing in parallel different instances of Distributed Median Elimination and selecting the best one. Experiments illustrate and complete the analysis. According to the analysis, in comparison to Median Elimination performed on each player, the proposed algorithm shows significant practical improvements.
Some qualitative properties of sampled-data control systems

We consider sampled-data control systems which consist of an interconnection of a continuous-time nonlinear plant, a digital controller which has quantizers (but is otherwise linear), along with the required interface elements (A/D and D/A converters). We study the qualitative effects of the quantizers and the plant nonlinearities of these systems.
Model modification and analysis of radar detection range for anti-jamming

Active jamming was one of the most important menaces for radars,and the radar detection range was the basis for evaluation of anti-jamming.Based on the analysis of theoretical computation and practical anti-jamming measures,a modified mathematical model for calculating the radar detection range in jamming environment was proposed.The simplified model only needed the calculation of a few modification coefficients,so it was convenient for application.The model could also explain the dynamic change of radar detection range under different anti-jamming measures,thus it was helpful for the evaluation and improvement of the anti-jamming performance.The simulations showed the validity of the modified model.
Syntheses of Karwinaphthol B, 7-Methoxyeleutherin and Ventiloquinone E

Acylation of the aryl nitromethane (35) with (9) gave the enone (45), which underwent cyclization to the tricyclic system (50). Thermally induced aromatization to the naphthopyran (51) and oxidation gave ventiloquinone E (3). On selective demethylation this gave ventiloquinone G methyl ether (54). Analogous chemistry based on the aryl nitromethane (57) gave tricyclic nitro compound (60). On thermally induced aromatization this gave karwinaphthol B (5), while application of the Nef reaction and concomitant oxidation gave 7-methoxyeleutherin (2).
Fault Information Analysis and Diagnosis Method of Power System Based on Complex Event Processing Technology

In order to solve the problem of redundant data but insufficient information in fault diagnosis, Complex event processing technology is employed in the research of power system fault information analysis and diagnosis. With the layer characteristic of fault diagnosis considered, a systematic hierarchical model for fault information processing is introduced in the paper. Based on the presented model, the traditional expert system method is modified and consequently a layered fault diagnosis method is proposed based on the complex event processing technology. The layering processing feature of the presented method is helpful both in controlling complexity of rule making and in enlarging the applying scope of diagnosis rules. Moreover, due to the diagnosis conclusions are the aggregations of lower level messages, it is easily to drill down for tracking the reasons of diagnosis results. Results of testing examples validate the correctness and effectiveness of the presented model and corresponding diagnosis method.
Synthesis of 6-Branched Cyclo-(1→3)-glucohexaose and Glucooctaose

The cyclization precursors nonasaccharide 3 and dodecasaccharide 8 were obtained, respectively, from the corresponding 4-methoxyphenyl glycosides 1 and 6 via oxidative cleavage of 1-OMp followed by selective 1-O-trichloroacetimidate formation. TMSOTf-promoted cycloglycosylation of 3 and 8 went smoothly giving α-linked cyclized nonasaccharide 4 and dodecasaccharide 9. Finally, deacylation of 4 and 9 furnished the target cycloglucans 5 and 10 consisting of alternate β- and α-(1→3)-linked cyclogluco-hexaose backbone bearing three β-(1→6)-linked glucose side chains and cycloglucooctaose backbone bearing four β-(1→6)-linked glucose side chains. respectively. The side chains were attached at the glucose residue of the backbone with α-linkage.
The Application of BP Neural Network Improved with LM Algorithm in the Reorganization and Classification of Andrographis paniculata Nees

ObjectiveTo build an effective and exact reorganization and classification model for the quality control of Andrographis paniculata Nees.Methods12 samples of Andrographis paniculata Nees collected from different places were determined by HPLC and four principal components were selected into the LM-BP model.ResultsThe fast and specific model was established.The classifier could identify different samples with a high accuracy.ConclusionThe BP neural network improved by LM algorithm can greatly increase the speed and the accuracy of the Andrographis paniculata Nee classification as compared with the ordinary BP neural network.
Real-Time Query Processing for Sensor Networks Based on Ant Algorithm

Wireless sensor networks are often deployed in diverse application specific contexts,which can be treated essentially as distributed databases.The event-involved responses can be obtained by issuing queries to this kind of database.The applications with real-time requirement have tight constraints on query delay.However,the existing query algorithms cannot meet the demands of the real-time query applications.With regard to the special applications,a real-time query processing algorithm based on ant colony optimization is proposed.In this algorithm,priority-based multiple-rings storage scheme and ant-based distributed search mechanism are adopted to improve the integrated performance of energy-efficiency,delay and query reception rate.It takes advantage of the self-organization and positive feedback characteristics of ant colony optimization algorithm.The proposed algorithm provide a new idea for distributed dynamic parallel real-time query applications,demanding merely local information to obtain named events efficiently and determine the number and allocation of event replicas adaptively.Theoretical analysis and experiments prove that compared with other existing query algorithms,this algorithm cannot only improve the performance of energy-efficiency and reception,it can also shorten the query delay considerably.
Synthesis and Biological Activities of New Conformationally Restricted Analogues of (−)-Indolactam-V: Elucidation of the Biologically Active Conformation of the Tumor-Promoting Teleocidins

The tumor-promoting teleocidins and their core structure (−)-indolactam-V (1) exist in two stable conformers in solution at room temperature. The cis amide assumes a twist conformation while the trans amide exists in a sofa form. In order to identify the biologically active conformation of the teleocidins, we have synthesized new twist-restricted analogues 5a and 6 based on an aza-Claisen rearrangement of (−)-N13-desmethyl-N13-allylindolactam-V (3) and a sofa-restricted analogue, (−)-5-methylindolactam-V (22). The activities of these new compounds were evaluated in three in vitro bioassays associated with in vivo tumor-promoting activity: binding to the protein kinase C regulatory domain, induction of the Epstein−Barr virus early antigen, and stimulation of radioactive inorganic phosphate incorporation into phospholipids of HeLa cells. These three biological activities correlated well for each derivative. Twist-restricted analogues 5a and 6 showed significant activities in the three assays, comparable to.
Control of a Hybrid Thermal Management System: A Heuristic Strategy for Charging and Discharging a Latent Thermal Energy Storage Device

The use of a real-time controller for managing the recharging and discharging strategy of the thermal energy storage (TES) device in a hybrid thermal management system (TMS) is critical to realizing the intended performance benefits of such systems. For systems involving rapid cooling of power electronics, such as increasingly electrified air vehicles, new control strategies are needed that can accommodate (1) faster timescales associated with the TES dynamics and (2) limited knowledge of upcoming heat loads. This paper considers a hybrid TMS consisting of a single-phase cooling loop and a phase change material-based TES device. Unlike the model predictive control (MPC) and other optimal methods commonly used to control such systems, this paper implements a heuristic logic-based controller leveraging a higher-order TES model to gain additional knowledge of the internal temperature distribution of the TES. The controller regulates the temperature of the surface of a cold plate attached to a heat source that produces a transient heat load disturbance signal. Additionally, with no knowledge of upcoming disturbances, the controller must manage and conserve the state of charge of the TES device, specifically determining when it is possible to recharge and discharging only when necessary. A simulated case study demonstrates that the controller successfully maintains the cold plate temperature below a critical upper limit of 45°C during a 250 second simulation, with the exception of a 2 second period during the largest heat pulse (6 kW) when the upper limit is exceeded. Furthermore, it is shown that in order for a conventional TMS without TES to maintain the cold plate temperature below the same upper limit, the conventional TMS needs both a heat exchanger and fluid tank volume four times the size of those included in the hybrid TMS. During the same 250 second simulation, the oversized conventional TMS also exceeds the upper limit temperature during the 6 kW heat pulse, albeit for 5 seconds instead of 2; this is due to the slower dynamics of the heat exchanger as compared to those of the TES.
Measurment of spatial orientation using a biologically plausible gradient model

This thesis presents a biologically plausible computational model for measurements of local spatial orientation in the human visual system — named ‘GROM’. A gradient framework is used to model cortical receptive fields. As background to this work relevant neurophysiology, key psychophysical paradigms and results are detailed. The performance and parameter dependency of the model is examined using a range of key visual stimuli: • simple stimuli: gratings of variable orientation and spatial frequency • a natural image: a commonly used dense natural scene • illusions of orientation: Café Wall illusion and contrast-modulated gratings. Model performance on illusory stimuli is compared to human psychophysical performance. Results show that the model is in agreement with tendencies found psychophysically. This supports GROM’s biological plausibility. Heuristics are developed to aid an understanding of how the model generates these illusionary tendencies. Finally, a novel genetic-algorithm approach was employed to breed textures with maximally illusory structure. Psychophysical testing of these textures shows their illusory nature. This methodology and the results it generates represent a novel, experimentally verified prediction of the model.
Prinsip kutipan dan Parafrasa: Kekokohan Pilar-Pilar Paragraf

Quoting and paraphrasing show their academic breakthrough on the advancement of paragraph organisation. This observational research is conducted to answer how a writer can apply principles of quoting and paraphrasing to a paragraph of five sentences, and these principles prevent the students of Writing 1 from inadvertent plagiarism. Qualitatively, the 43-writing students’ work were classified into a coherent paragraf from writing a topic sentence to a concluding one, and then analysed each sentence in the application of quoting and paraphrasing principles as the essential pillars of paragraph building. As a result, most students tend to summarise their most major and minor supporting sentences significantly to support their topic sentence, instead of quoting and paraphrasing their supporting sentences completely and finally using their concluding sentence as a restatement of their topic sentence.
Handbook Of Anatomical Models For Radiation Dosimetry

handbook of anatomical models for radiation dosimetry is available in our book collection an online access to it is set as public so you can download it instantly. Our book servers hosts in multiple countries, allowing you to get the most less latency time to download any of our books like this one. Merely said, the handbook of anatomical models for radiation dosimetry is universally compatible with any devices to read.
Crack Modelling with the eXtended Finite Element Method

The most important thing for the aerospace industry is the equipment’s safety. Engineers, make a great effort to guarantee high standards of quality. The study of crack phenomena is major for this purpose. Crack modelling, has ever been an important topic. Traditional approaches of the finite element method can provide accurate solutions, nevertheless the meshing techniques are time consuming and not obvious. A new concept emerges, known as the eXtended Finite Element Method, XFEM, where the geometric discontinuities and singularities, are introduced numerically with the addition of new terms to the classical shape functions. So, the finite element formulation remains the same, the crack representation is easier, with an approximate solution more precise. This thesis, verifies the validity of this new concept for stationary cracks with Abaqus R ©’s XFEM aid. The comparison criterion is the stress intensity factor for simple geometries. The computational results are near to the values obtained from the closed-forms available on the literature and qualitatively the simplicity of this method is checked.
Calligraphy appreciation model and its implementation based on artistic feature

Traditionally,in calligraphy learning,the teacher will analyze the student's writing exercises and direct what they should im-prove in the next time.It is almost impossible to study Chinese calligraphy well without the teacher's instruction.As a result,a calligraphy appreciation model based on artistic feature is proposed and realized to simulate the teacher's work in teaching process.With this system,the teacher can inputs example characters and students can follow the teacher to write the same character utilizing pen-input devices.When students finish their practice,the system will provide a detailed evaluation for writing result on both character structures and strokes.Relevant experiments are given to demonstrate the proposed model is feasible and efficient in calligraphy evaluation.
One Tag Time-weighted Recommend Approach on Tripartite Graphs Networks

Social tags can provide highly Abstract information about not only item contents but also personalized prefe-rences,hence using labels could improve the accuracy of personalized recommendation.As a result of user preferences changes over time,network resources also will be increased as time goes by.How to recommend the network resources in which users have immediate interest based on the user preferences changes becomes a new research problems in the recommendation system.Combined with using tag frequency and label time on user-object-tag tripartite graphs,we proposed a recommendation algorithm based on tag time-weighted network.Experimental results demonstrate that the usage of tag time-weighted can significantly improve accuracy and diversification of recommendations.
An Improved Particle Swarm Optimization Technique for Combined Economic and Environmental Power Dispatch Including Valve Point Loading Effects

Abstract—In recent years, the combined economic and emission power dispatch is one of the main problems of electrical power system. It aims to schedule the power generation of generators in order to minimize cost production and emission of harmful gases caused by fossil-fueled thermal units such as CO, CO2, NOx, and SO2. To solve this complicated multi-objective problem, an improved version of the particle swarm optimization technique that includes non-dominated sorting concept has been proposed. Valve point loading effects and system losses have been considered. The threeunit and ten-unit benchmark systems have been used to show the effectiveness of the suggested optimization technique for solving this kind of nonconvex problem. The simulation results have been compared with those obtained using genetic algorithm based method. Comparison results show that the proposed approach can provide a higher quality solution with better performance.
Biobutanol Production from Bagasse Using Ammonia Pre-treatment and Acid Hydrolysis Method

Biobutanol is a type of alcohol that can be produced from biomass lignocellulose and used as renewable fuel. One of lignocellulose sources as raw material of making biobutanol is bagasse. Bagasse as agriculture waste was useless and did not have a potential benefit for farmers, but in this research it used as raw material because of the high cellulose contained. In this research for producing biobutanol, bagasse pre-treated by using ammonia with various concentrations (0 %, 1 %, 3 %, 5 %, 7%) and hydrolysis with 2 % sulphuric acid for 2 hours and 120 °C. Then the process continued with fermentation. In this step 10 mL Clostridium acetobutylicum bacteria was used and fermentation times were varied (2, 4 and 6 days). The aims of this research were analysed the content of cellulose, hemicellulose, lignin before and after pre-treatment processes and also biobutanol content after fermentation process. The results of this research showed that using 7 % ammonia was the highest lignocellulose content which had 69.68 % of cellulose, 14.39 % of hemicellulose and 9.15 % of lignin. The highest biobutanol content was 0.85 % that produced by using 5 % ammonia in the pre-treatment process and fermented for 6 days.