bluuebunny/crossref_metadata_2025 huggingface dataset:
Aplicación analógica del art. 203 de la Ley de Sociedades de Capital: el acta notarial de la Junta
Authors: Espigares Huete José Carlos
Published: February 2018

El debate se sitúa en la relación que necesariamente ha de establecerse entre el art. 203.2 LSC y el art. 170.2 LSC: es decir, si el acta redactada por el notario designado en ejercicio de su obligación como tal secretario, constituye acta notarial de la junta en el sentido previsto en el art. 203. 2 LSC.
El deber de cuidado: evolución jurisprudencial en Estados Unidos
Authors: Fernández Castejón Elena
Published: February 2018

Los deberes fiduciarios en el sistema de common law han sido desarrollados y delimitados en su alcance y contenido por los sucesivos pronunciamientos judiciales. Esto también ha sido así en el ámbito empresarial, en el que independientemente de las distintas obligaciones que el ordenamiento federal y los distintos ordenamientos estatales puedan imponer a los agentes que desarrollan su actividad en la empresa, así como de la responsabilidad que el incumplimiento de las mismas pueda generar, la propia relación de los sujetos con la empresa misma también es fuente de obligaciones, que se concretan en los distintos deberes fiduciarios.
Análisis del administrador social: teoría del vínculo y relación con la sociedad
Authors: Bonmatí Sánchez José
Published: February 2018

El presente trabajo trata de analizar las implicaciones jurídicas de los administradores sociales y del consejero delegado, en cuanto a su relación laboral o mercantil debido a la aplicación de la “teoría del vínculo”, y a la retribución de los consejeros delegados debido a la reforma de la Ley de Sociedades de Capital.
Las cláusulas sorpresivas en los contratos de seguro: ¿Delimitación o limitación? A propósito de la STS 732/2017, de 2 de marzo.
Authors: Ortiz Fernández Manuel
Published: February 2018

Como se deduce del propio tenor literal de la norma, este tipo de contratos tienen una serie de límites o delimitaciones que excluyen, en determinadas circunstancias, la obligación de la aseguradora de indemnizar al asegurado. Y es que, precisamente el inciso “dentro de los límites pactados” da lugar a que el riesgo asegurado deba delimitarse desde varios prismas: geográfica o territorialmente, temporalmente –como las cláusulas claim made/claim ocurrence–, cuantitativamente –límite agregado, anual, por siniestro, etc.– y causalmente –coberturas globales y específicas, exclusiones legales y convencionales–.
Increasing the Efficiency of Ultrasonic Dispersion System with use of Control Loop to Automatic Frequency Adjusting
Authors: Abbaszadeh J. , Abdul Rahim H. , Najafiaghdam E. , Abdul Rahim R. , Sarrafi S.
Published: February 2018

A novel ultrasonic dispersion system for the dispersing of particles which are mixed in liquid has been proposed in this paper. The frequency of produced ultrasonic wave varies from 30 kHz to 60 kHz with 100 Hz steps. It means that the operating frequency band of designed system is 30 kHz. The maximum and optimum energy of ultrasonic wave can be transfer inside the liquid container with the high efficiency in majority of operating time by the use of some facilities which are implemented in our novel system, so it causes one of the superiority of manufactured system in compare with the other similar systems which are available in markets. Ultrasonic transducers which are used in this system as the generator of ultrasonic wave is the type of air coupled ceramic ultrasonic piezoelectric with the nominal maximum power 50 watt. By the considering of frequency diagram of applied piezoelectric, it can be find out that the piezoelectrics produce the maximum amplitude of ultrasonic wave on their resonance frequency, so this system is designed to work on resonance frequency of piezoelectric, continuously. This is done by the use of control system which is consisted of two major parts, sensing part and controlling part. A Hall Effect current sensor is used as the sensing part and the controlling program is implemented on AVR microcontrollers. In addition, the control algorithm of program is presented in this paper. The manufactured ultrasonic dispersion system has been consisted of 9 piezoelectrics so that it can produce 450 watt ultrasonic energy, totally.
Bayesian Multiple Person Tracking using Probability Hypothesis Density Smoothing
Authors: Hernandez S. , Frean M.
Published: February 2018

We presents a PHD filtering approach to estimate the state of an unknown number of persons in a video sequence. Persons are represented by moving blobs, which are tracked across different frames using a first-order moment approximation to the posterior density. The PHD filter is a good alternative to standard multi-target tracking algorithms, since overrides making explicit associations between measurements and persons locations. The recursive method has linear complexity in the number of targets, so it also has the potential benefit of scaling well with a large number of persons being tracked. The PHD filter achieves interesting results for the multiple persons tracking problem, albeit discarding useful information from higher order interactions. Nevertheless, a backward statespace representation using PHD smoothing can be used to refine the filtered estimates. In this paper, we present two smoothing strategies for improving PHD filter estimates in multiple persons tracking. Results from using PHD smoothing techniques in a video sequence shows a slight gain in the cardinality estimates (meaning the number of persons in a particular video frame), but good performance in the individual location estimates.
Vibration Analysis of Cantilever Smart Structure by using Piezoelectric Smart Material
Authors: Waghulde K. B. , Kumar Bimlesh
Published: February 2018

The field of smart structures and smart materials has been an emerging area of research for last few decades. A smart structure would be able to sense the vibration and generate a controlled actuation to it, so the vibration can be minimized. For this purpose, smart materials are used as actuators and sensors. In this paper, some literature review is given about smart structure and smart material. Piezoelectric material is used as smart material and cantilever beam is considered as a smart structure. Different positions are considered for the model analysis. In this case, the modal analysis are found out by using ANSYS and MATLAB.
Virtual Figure Presentation using Pressure-Slippage-Generation Tactile Mouse
Authors: Zhou Yiru , Yin Xuecheng , Ohka Masahiro
Published: February 2018

Since our tactile mouse can generate not only distributed pressure but also slippage force, it is expected that it can enhance the reality degree of virtual reality generated by it compared to conventional tactile displays. In previous works, this tactile mouse was effective for edge tracing of virtual figures. However, advanced tests are required using psychophysical experiments to evaluate this tactile display. In this paper, four virtual relief-like figures, a triangle, square, pentagon and circle, are presented using the tactile mouse. These virtual figures have a constant height of around 1 mm against the background. To evaluate the effectiveness of combined presentation of pressure and slippage, not only pressure but also tangential force is generated on the tactile pad on which an operator puts his finger in combined presentation tests when the mouse cursor travels on the figure. In a series of experiments, five male subjects judge which figure is presented. It is found that the percentage of correct answers is increased in the combined presentation when the circle and pentagon are presented. Therefore, the combined presentation provides plain virtual sensation to allow the operator to more easily understand the sensation.
Versatile Sensor Platform for Autonomous Sensing in Automotive Applications
Authors: Lieschnegg M. , Lechner B. , Fuchs A. , Mariani O.
Published: February 2018

This paper presents the development of a versatile sensor platform used for autonomous data acquisition. The key advantages of the platform are its compact design, implemented onboard sensors, standard interfaces to connect application specific sensors and subsequently simple installation and low costs for the preparation of a measurement task. The paper provides details of the platform design and key characteristics. Practical exemplary applications in the field of automotive sensing, covering thermal management related and passenger comfort related measurement tasks, are presented.
Design of Auto-Focusing Modules in Cell Phone Cameras
Authors: Lai L. K. , Liu T. S.
Published: February 2018

Endowed with Hall-effect sensors and voice coil motors, cell phone cameras as intelligent systems are capable to execute auto-focusing for acquiring sharp image. For the use of cell phone cameras, this study presents an innovative auto-focusing module. When coils are powered, induced magnetic fields generate N and S poles around iron cores in the actuator. Unlike voice coil motors that employ Lorentz force, the motion of the moving part in this study is arisen from a magnetic pole property - same poles repel each other while opposite poles attract each other. Using a threedimensional finite element method, we calculate electromagnetic and mechanical characteristics including current variation of coils, displacement and velocity of the moving part, and actuation force. Simulation results show that the proposed auto-focusing module achieves rapid response and low power consumption.
A Hybrid MAC Mechanism for Multiple Load Intelligent Vehicle Transportation Network
Authors: Liu Yuan , Wang Yuhao , Chen Siyue , Li Xiao , Rao Zhengfa
Published: February 2018

The Media Access Control (MAC) mechanism of intelligent vehicle communication network meets a new challenge due to the multiple load data traffic and high speed mobility. This paper proposes a hybrid MAC mechanism which takes the advantages of both TDMA and CSMA mechanism. This hybrid mechanism is based on TDMA, while CSMA mechanism is added in time slots to improve the slot utilization in both high and low load networks. Through the simulation in NS2 we compare the results of the hybrid MAC protocol with those of using CSMA and TDMA individually. It is verified that in terms of flexibility and reliability in channel utilization, packet loss ratio and fairness index, the hybrid MAC protocol is superior. The hybrid mechanism makes the MAC layer self-adaptively switch between TDMA and CSMA according to the data traffic load.
Deformation Forecast of Flexible Material Process By Spline Finite Element Method and Application
Authors: Yaohua Deng , Bingjing Li , Sicheng Chen , Jiyuan Chen , Liming Wu
Published: February 2018

This paper provides a new computing method for the amount of deformation of flexible materials by spline finite element. Firstly, it analyzes the deformation of single yarn in the way of cubic spline interpolation, with the idea of spline finite element; it takes the flat fabric as anisotropic material to build a simple surface model with the use of bicubic interpolation, so as to deduce to the formula of flat fabric’s deformational displacement under the stress. Finally, it takes the line graphic element for object to get the amount of deformation and to compensate it in quilting, test result show that the position error scope of quilting is 0.093~0.186mm, the accuracy is higher than excellence grade of quilting which refers to national standard FZ/T81005-2006.
A Versatile Lattice Based Model For Situation Recognition From Dynamic Ambient Sensors
Authors: Mittal Sangeeta , Gopal Krishna , Maskara S.L.
Published: February 2018

Recent advances in acquisition, storage, and transmission of data from sensors in digital format has increased the need of tools to support users effectively in retrieving, understanding, and mining the information contained in such data.Extraction of domain specific actionable information like occurrence of one of the predefined “situations” is desirable. Major difficulties in achieving this extraction are 1) Source of Data, that is, number and type of sensors deployed is highly variable even for one type of application, 2)Availability of domain specific labeled training data is critical for computation of situations.In this paper, we propose a versatile method based on formal concept analysis to overcome these difficulties in modelingsensor based situations.Our method, making use of contexts as intermediate form of sensors data, works on any number and type of sensors. It is alsoinstance-independent and eliminates need of training, when applied to various instances of similar application.For illustration, we model and perform real time recognition of activity of a person in indoor home environment with ambientsensors.The embedded sensors captureusage and proximity of human beings to objects.We apply the model learnt from one house, foractivity recognition of new persons across different new houses. The recognition results obtained have high precision and recall.
Study on Feature Selection and Identification Method of Tool Wear States Based on Svm
Authors: Li Weilin , Fu Pan , Cao Weiqing
Published: February 2018

This paper presents an on-line tool wear condition monitoring system for milling. The proposed system was developed taking the cost and performance in practice into account, in addition to a high success rate. The cutting vibration signal is obtained during the cutting process, and then extracting features using time-domain statistical and wavelet packet decomposition algorithms. It would result in two major disadvantages if creating a tool wear states identification model based on all extracted features, i.e. high computational cost and inefficient complexity of the model, which leads to overfitting. It is crucial to extract a smaller feature set by an effective feature selection algorithm. In this paper, an approach based on one-versus-one multi-class Support Vector Machine Recursive Feature Elimination (SVM-RFE) is proposed to solve the feature selection problem in tool wear condition monitoring. Moreover, in order to analyze a performance degradation process on the machine tool, Least Squares Support Vector Machines (LS-SVM) is introduced. In order to estimate the effectiveness of feature selection algorithm, the comparative analysis among Fisher Score (FS) Information Gain (IG) and SVM-RFE is exploited to real milling datasets. The identification result proves that: The selected feature set based on SVM-RFE is more effective to recognize tool wear state; LS-SVM wear identification method is superior to BP neural network, and it has higher identification accuracy; the proposed feature selection and identification method for tool wear states is efficient and feasible.
Observer Based Dynamic Surface Control of A Hypersonic Flight Vehicle
Authors: Butt W. A.
Published: February 2018

This paper describes the design and analysis of a proportional integral air speed controller and a nonlinear adaptive dynamic surface altitude controller for the longitudinal dynamics of a generic hypersonic flight vehicle. The uncertain nonlinear functions in the pure feedback flight vehicle model are approximated by using radial basis function neural networks. For the controller design, the complete states are assumed to be available for measurement, then a sliding mode observer is incorporated to estimate the states which are difficult to measure in practice. A detailed stability analysis of the designed altitude controller shows that all the signals of the closed loop system are uniformly ultimately bounded. The robustness and performance of the designed controllers, with and without the observer are verified through numerical simulations of the flight vehicle model for trimmed cruise conditions of 110,000 ft and Mach 15.
Signal Sensing By The Architecture Of Embedded I/O Pad Circuits
Authors: Chen Shen-Li , Cheng Yang-Shiung
Published: February 2018

In this study, the detecting structures in an embedded CUP wafer, which are called sensors, are investigated through a contactless sensing analysis. These novel sensing structures, which were designed using the ADS 2009 platform and the design rules for the TSMC 0.18-μm CMOS process, were placed under bonding pads. However, signals would still pass through these I/O sensing structures (i.e., ESD devices or circuits) and become coupled up to the pads of the top-layer metal as square, sinusoidal, or ESD pulse waveforms are injected. Through the resulting sensing relationship, we could then judge whether or not the bottom circuit is a good candidate for EMI consideration. Eventually, it was found that during an ESD occurred situation, a strong signal coupling can be sensed by the ESD protection circuits, especially by gate-coupled ESD protection circuitry.
Left-Handedness Detection
Authors: Leong W.Y , Andrew Ng C.R
Published: February 2018

abstract

In this paper, a new left-handedness sensing and detection module, has been developed to classify the handedness of a person. Handedness of the person can be determined from the EEG data captured and further confirmed using a simple game as testing module. EEG signals were obtained from three locations namely A1, O1 and O2. The signals were then classified into four different frequency bands: Alpha, Beta, Delta and Theta before they were used to determine the Mean EEG Coherence. Generally the left handed person has higher Mean EEG Coherence which means that there are more connections between the left and right hemisphere of cerebrums through the corpus callosum. Based on research, personal non-right handedness has been associated with both increased corpus callosum size and increased functional interaction between cerebral hemispheres. To relate the former to the later, it is suggested that the increased size of corpus callosum, which somehow passes information between the two sides of the brain, allows greater inter-hemispheric communication. Handedness is determined based on this criterion. At the end of the research, the module developed enables the determination of handedness personnel.
Features Of Sleep Apnea Recognition And Analysis
Authors: Yie Leong Wai , Ming Joel Than Chia
Published: February 2018

abstract

Sleep apnea is a growing sleep disorder issue and estimate to affect 7% of the adult population in Malaysia. In this study, the electrical activity of the brain is studied using Electroencephalogram (EEG). The data obtained was then decomposed using three methods; Empirical Mode Decomposition (EMD), Bivariate EMD and finally Ensemble EMD. The Index of Orthogonatility (IO) was obtained which shows EMD performed the most poorly, EEMD the best and Bivariate in between. The performance of EMD greatly improves when the number of samples was greatly decreased and very high peaks and more complex parts of the signal were excluded in the analysis. Segmentation was also conducted and the segmentation error revealed when an Event Related Potential (ERP) has happened which is when apnea occurred.
A Comprehensive Survey Of Vision Based Vehicle Intelligent Front Light System
Authors: LUO Feng , HU Fengjian
Published: February 2018

abstract

Vehicle intelligent front light system is one of the advanced driver assistance systems. Vision based intelligent front light system is currently the research focus in this field. The purpose of this paper is to present a comprehensive survey of the vehicle front light system development and the latest vision based key technologies and proposals. By analyzing the significant disadvantages of traditional intelligent light systems, some possible improvement proposals and algorithms for lane, vehicle lamp recognition and track are provided. This survey shows that the Matrix-LED system could make the system more flexible and more effective and vision based vehicle intelligent front light system can improve the driving environment for the ego driver and other road users at night.
Study on PLC with Switch Management in Intelligent Manufacturing Network
Authors: Wang Guangfu
Published: February 2018

abstract

This paper discusses a new solution for switch management in intelligent manufacturing network. It makes PLC (Programmable Logic Controller) communication module have the switch management features and exchange I/O data in manufacturing network. The switch manager has used the chip of the Ethernet switch device 88E6165. The Marvell 88E6165 device embedded in communication devices is a single-chip 6 port gigabit Ethernet switch with five integrated gigabit Ethernet transceivers. It performs the tasks of switch management, a series of services and applications are supported in PLC when it is running in a manufacturing network. It also analyzes the potential network topologies in which our customers may use the communication module and how the communication module’s architecture facilitates these topologies. Actors associated with the switch management service are described further. It proposes a new mechanism to minimize the congestion based on the measure of taking an adaptive decision during transferring multicast messages to handle multicast message growing with industrial Ethernet for manufacturing systems. Proposed approach is to accomplish a device requesting to start and stop the reception of the multicast streams. It joins and leaves message requests through IGMP. Final, an application prototype system contains various devices and the global architecture is proposed to provide transparency between control network and device (IO) network.
An indoor positioning algorithm and its experiment research based on RFID
Authors: Bingbing Yan , Wenbo Ren , Bolin Yin , Yang Li
Published: February 2018

abstract

A kind of indoor locating algorithm based on RFID has been put forward since the indoor positioning system can not fully meet the requirements of location services. The algorithm takes the propagation characteristic of signal as the breakthrough point and improves the positioning precision of the algorithm by means of regional division, regional judgment strategy, virtual node, and so on. The optimal target position of the access point was put forward and an effective analysis of the regional division and virtual node was done along with the robustness design through the experimental analysis. The result of the indoor positioning experiment shows that this algorithm is of high positioning precision, providing technical support for developing the indoor positioning system based on RFID.
Knowledge-Based Modeling For Predicting Cane Sugar Crystallization State
Authors: Meng Yanmei , Yu Xian , He Haiping , Tang Zhihong , Wang Xiaochun , Chen Jian
Published: February 2018

abstract

This paper proposes a knowledge-based model applied to an experimental scale evaporative cane sugar crystallization process, which combines the methods of offline and online knowledge acquisition. Firstly, a data mining method based on rough set theory is utilized to extract information from the large quantity of relevant data obtained in experiment. This method products an offline predictive knowledge. Thereafter, a method for online knowledge learning and self-improvement is put forward, based on support vector machine with particle swarm optimization, to improve the predictive accuracy and generalization capacity. Furthermore, the intelligent system is tested using a selfregulating intelligent comprehensive monitoring and controlling platform that represents the cane sugar process. Results demonstrate the feasibility of the system for predicting the crystallization state in a real cane sugar process.
Research On The Classification For Faults Of Rolling Bearing Based On Multi-Weights Neural Network
Authors: Qiang Yujian , Chen Ling , Hua Liang , Gu Juping , Ding Lijun , Liu Yuqing
Published: February 2018

abstract

A methodology based on multi-weights neural network (MWNN) is presented to identify faults of rolling bearing. With considerations of difficulties in analyzing rolling bearing vibration data, we analyzed how to extract time domain feature parameters of faults. Further, the time domain feature parameters extracted from fault signals are utilized to train multi-weights neural network for achieving an optimal coverage of fault feature space. Thus, faults of rolling bearing can be identified. Finally, simulations results based on real sampling data indicate the effectiveness of the methodology proposed in this paper. In addition, simulation results also indicate that MWNN utilized in this paper is more excellent than probabilistic neural network (PNN) and suitable for the classification of small samples.
Augmented Reality Game Based Multi-Usage Rehabilitation Therapist For Stroke Patients
Authors: Leon N.I. De , Bhatt S.K. , Al-Jumaily Adel
Published: February 2018

abstract

For the surviving stroke patients that are affected physically and mentally, they are required rehabilitation after the stroke. Rehabilitation can be quite expensive on the patient and their families. The augmented reality rehabilitation gaming system aims to decrease the dependency on supervised therapy. This paper presents two augmented reality games. The games focus on rehabilitating stroke patients affected with upper limb disabilities. The games simulate current physical therapy techniques in an interactive augmented environment. The benefits of using a gaming platform are to provide the user with increased motivation, as well as a cost effective rehabilitation solution. The games can be used with or without a hand held roller-ball device, which can change the movement and focus of the exercise.
Robotic Adaptive Impedance Control Based On Visual Guidance
Authors: Erchao Li , Zhanming Li , Junxue He
Published: February 2018

Uncalibrated visual servoing based on SVR-Jacobian estimator is proposed in unknown environment. Multiple support vector regression (SVR) machines are used to estimate the Jacobian matrix of images, and the nonlinear mapping between the image features of the curved line and the robot joint angle is constructed, uncalibrated robot impedance control can be carried out. Image Jacobian matrix expression with Gaussian kernel is put forward, the effectiveness of the presented approach is verified by using a 6 DOF robot with a CCD camera and a force/torque sensor installed in its end effector
An Adaptive Voice Activity Detection Algorithm
Authors: Zhigang Zhang , Junqin Huang
Published: February 2018

Voice Activity Detection (VAD) is a crucial step for speech processing, which detecting accuracy and speed directly affects the effect of subsequent processing. Some voice processing system based phone or in the indoor environment, which need simple and quick method of VAD, for these representative voice signal, this paper proposes a new algorithm which is adaptive and quick based on a major improvement to Dual-Threshold endpoint detection algorithm. First the amplitude normalization is processed to the original voice signal, the characteristic is extracted by means of short-time amplitude, which can simplify operation. Then, large-scale (long frame-length and frame-shift) short-time amplitude is used for rough detection, combining adaptive threshold judgement of consecutive frames, which can find voice areas of start-point and end-point quickly. To these areas, small-scale (short frame-length and frame-shift) short-time amplitude is used for accurate detection, forward scanning is put to start-point area, reverse scanning is put to end-point area, combining adaptive threshold judgement of consecutive frames, start-point and end-point of the effective speech can be accurately located. Experimental results show that the method of this paper can detect endpoints of voice signal more quickly and accurately, which can improve recognition performance dramatically. Large-scale can increase detection speed, small-scale can improve detection accuracy, both can be adjusted to satisfy the different requirements. The method of this paper ensures both detection speed and precision, which has more flexibility and applicability
Discrete S-Transform Based Speech Enhancement
Authors: Hu Guo-hua , Li Rui , Tao Liang
Published: February 2018

S-transform (ST) is an effective time-frequency representation method with the advantages of short-time Fourier transform and wavelet transform. This paper utilizes the advantages of the power spectral subtraction method and the speech enhancement method to presents a novel speech enhancement algorithm based on discrete ST. Firstly, the speech in time domain is transformed by ST to joint time-frequency domain for spectral subtraction so that the clear speech spectrum can be obtained and then the inverse ST is performed to acquire the enhanced speech in time domain. Simulation experiment is done to verify the validity of the method. The experiment results show that the proposed method can effectively enhance the de-noising ability and improve the signal-to-noise ratio
A Mac And One-Way Function Based Filtering Scheme
Authors: Jing-Guo ZHAO , Qing-Yun LUO , Zhi-Xiong Liu
Published: February 2018

In optical sensor networks, the adversary can inject false reports and old packets, both of which can cause false alarms and drain out the limited energy of the network. Existing security mechanisms can detect and filter out only false reports but not the old packets during forwarding. Furthermore, they cannot resist cooperative attacks. A MAC and one-way function based Filtering Scheme (MOFS) was presented. Each node distributes its key and initial hash value to some other nodes after deployment. A data report must carry the MACs and fresh hash values from t detecting nodes. The forwarding nodes check the logicality of the relative position of the detecting nodes carried in the report, the correctness of the MACs and hash values, and the freshness of these hash values. Analysis and simulation results show that MOFS can not only filter false reports and old packets simultaneously, but also performs well on compromise toleration
On Mass Sensing Using Micro/Nano Resonators - Approaches, Challenges And Directions
Authors: Choubey Bhaskar , McEwan Alistair
Published: February 2018

Micro/Nano electromechanical systems based Mass sensors are being increasingly used for detecting very low masses, with significant applications in bio-sensing as well as environmental sensing. A number of different shapes, excitation mechanisms as well as materials have been suggested for these sensors. In addition, with reducing dimensions due to improvement in fabrication, these sensors have the potential to measure bacterial level masses. This paper reviews some of the research directions in this field. Various sensing and actuation strategies for these resonators are discussed. In addition, three important challenges, which have the potential of providing new directions of research are also explored. These include quality factor, increasing nonlinearity and coupling. Coupling of sensors can provide a unique opportunity to build several resonant sensors on the same chip and reduce the number of contacts required as well as the potential bandwidth
A New Three-Dimension Spatial Location Algorithm Of Wireless Sensor Network
Authors: Hua Xiang , Jinjin Zhang , Lei Bin
Published: February 2018

abstract

Aiming at three-dimensional space localization problem in wireless sensor network, a method of three-dimensional centroid algorithm with spherical perception radius (3DCSPR) is proposed. The algorithm uses Gaussian probability density function to estimate the sensor node radius, and uses tetrahedron method and three-dimensional center to locate unknown node with estimated. Firstly, RSSI value between beacon nodes and destination node is selected by RSSI distribution density function, that confidence interval of nodes perception radius is estimated. Secondly, satisfied tetrahedron is got by the intersections sphere coverage of beacon nodes in three-dimensional. Finally, destination node localization is calculated with weighted centroid in three-dimensional. Simulation results show that the proposed method can significantly reduce positioning errors in three-dimensional network environment in reality and can be widely applied to many fields
Quadrotors Unmanned Aerial Vehicles: A Review
Authors: Ghazbi S. Norouzi , Aghli Y. , Alimohammadi M. , Akbari A. A.
Published: February 2018

Quadrotors are Vertical Take-Off and Landing aerial vehicles with many potential applications ranging from mapping to supporting rescue operations. This paper aims to provide an overview on various works carried out on the quadrotor, from the perspective of control and dynamic modelling. Also in this paper, based on the information summarized from 160 researches available, different control targets and flight missions are analysed and classified, and according to it, a general flight mission map is introduced. In addition, history of advances in development of quadrotors and set-ups proposed when performing experimental researches on quadrotors is presented
An Electrical Model Optimization For Single Cell Flow Impedance Spectroscopy
Authors: Claudel J. , Nadi M. , Elmazria O. , Kourtiche D.
Published: February 2018

This paper presents an optimization of a single cell electrical model, based on Maxwell’s mixture Theory, applied to flow cytometry coupled to impedance spectroscopy. It is based on the discretization of the measurement area into a square reference volume, centered between microelectrodes, and fixed impedance areas. The first one represents the sensing area, the one impacted by cell presence during measurement, and the second one, all other areas that contribute to global measured impedance. By removing these last impedances, it is possible to compare and model the electrical response of different electrodes geometries. Simulations, performed for 6 different electrodes geometries using Finite Element Method (FEM), were performed to check our assumptions. Results attest the validity of our model for cells with sizes comprised between 30 and 70% of the channel weigh. Finally, measurements performed with our microfluidic sensor show the same impedance variation distribution during the passage of calibrated beads with an error lower than 5%
Trust Aware Data Aggregation And Intrusion Detection System For Wireless Sensor Networks
Authors: Vamsi P. Raghu , Kant Krishna
Published: February 2018

Data Aggregation (DA) is one of the most frequently used techniques in Wireless Sensor Networks (WSNs) to improve the network lifetime. It involves gathering, consolidating, and routing the sensory data collected by sensor nodes. However, research studies have demonstrated that the dependability of the DA process affects severely when malicious nodes are present in the network. Many security solutions using cryptography and Intrusion Detection System (IDS) have been proposed in the literature for smooth conduction of the aggregation process. However, these solutions require more energy and processing capacity, which are the main constraints for sensor nodes. To this end, the current study presents Trust-Aware Data Aggregation and Intrusion Detection System (TDAGIDS) for clustered WSNs. This TDAGIDS has two modules viz., trust management and intrusion detection. Each node runs a Trust Management System (TMS) that computes the trust value of neighbor nodes by observing their activities. On the other hand, the Base Station (BS) is equipped with IDS that collects the trust values of network nodes and runs a statistical test to identify malicious nodes. In this way, TMS at the node level and IDS at BS level work in collaboration to detect and isolate the malicious nodes from the DA process. The simulation results show the effectiveness of the TDAGIDS over baseline T-LEACH (Trusted Low Energy Adaptive Clustering Hierarchy) protocol and recently proposed TDAGIOT (Trust based Data Aggregation for Internet of Things) method
Consensus Of Continuous-Time Multi-Agent Systems Under Noisy Measurement
Authors: Qingbi He , Zhaojun Tang
Published: February 2018

In this paper, we consider the consensus problem of first-order continuous-time multi-agent systems with fixed topology and time-varying topology in the presence of measurement noises. It is assumed that each agent can only obtain the information from its neighbors, and the information is corrupted by white noises. For the case of fixed topology, it is shown that consensus can be reached asymptotically in mean square provided the interaction topology has a spanning tree. For the case of time-varying topology, with the assumption that each interaction topology is balanced and strongly connected, consensus can be reached asymptotically in mean square as well. The convergence analysis is given by studying the reduced-order system with the help of stochastic Lyapunov analysis. Simulation results are presented to illustrate the theoretical results
Probability Sensing Model Based Enhancement of Coverage for Video Sensor Networks
Authors: Ju-Wei Zhang , Na Li , Ning-Ning Wu , Jingzhuo Shi
Published: February 2018

With the foundation of the video probabilistic sensing model that sensing direction is steerable, the study on path coverage enhancement algorithm for video sensor networks has been improved, analysis the position of effective center of mass in the sensor’s model, the network calculates the gravitation between the target track points and the trace nodes, and the repulsive force between both trace nodes of the target track points, then the trace node adjusts its sense direction, make the probability of the target track points which is perceived by the sensor network equals or exceeds the perception threshold. The simulation result shows that, this improved algorithm has make further improvement on the perception of the target which is move in the coverage area, it uses more fewer directional video nodes, but the video sensor networks is fully and high effectively covering the target trajectory.
PSO Algorithm for Single and Multiple Odor Sources Localization Problems: Progress and Challenge
Authors: Jatmiko W. , Jovan F. , Dhiemas R.Y.S. , Alvissalim M.S. , Febrian A. , Widiyanto D. , Purnomo D.M.J. , Wisesa H.A. , Fukuda T. , Sekiyama K.
Published: February 2018

Odor sensing technology in robotic research introduce two research field namely odor recognition and odor source localization. Odor source localization research also includes the odor recognition ability with localization method. This paper shows some experiment had been done to localize odor source using single agent and multiple agents. Experiment shows that single agent can’t be used in dynamic environment, hence also can’t be used in real life application. This paper promotes an algorithm known as Particle Swarm Optimization (PSO) to solve these problems. The experiment conducted using PSO shows that PSO able to localize the odor source in the same condition where single agent failed. However, PSO still need to be modified before it can be use widely. This paper shows modification that has been proposed by the authors to enhance it’s ability. The research also has been push to solve multiple odor sources using parallel localization. To verify proposed method, software simulator was used. Results from these experiment show that Modified PSO is able to localize all four odor sources in dynamic environment in 651.900 seconds within 7 x 7 meters search area. The modification being applied in this research not limited by searching technic but also creating two types of robot.
Hardware and Software Solution Developed in Arm Mbed Environment for Driving and Controlling DC Brushless Motors Based on ST X-Nucleo Development Boards
Authors: Primiceri P. , Visconti P. , Melpignano A. , Colleoni G. , Vilei A.
Published: February 2018

Aim of this work is the design and realization of a driving system for monitoring and controlling of a BLDC motor with Hall sensors embedded. The realized system is composed by three principal blocks: the control electronic board, the power driving board and the BLDC motor. The first block is based on the STM32 Nucleo development board assembled with the second one, the ST-X-Nucleo-IHM07M1 motor driver expansion board which integrates an L6230 IC driver. The used BLDC motor is the DF45M024053-A2 model provided by Nanotec. The firmware, needed to properly control motor operation, was developed in ARM mbed environment, a development tool available on cloud which allows to send the .bin file (obtained after firmware compilation) directly to the STM32 development board, regarded from operating system, once connected via USB to PC, simply as an external memory. By PC connected via USB with STM32 board, the user can choose the motor rotation direction, set the desired rpm value and, by varying potentiometer value located on board, change the rotation speed. Furthermore, different controls are performed during motor operation such as on PWM duty-cycle value (if it is equal to 100%, then power supply is removed), on temperature value of L6230 IC driver and a control of motor rotation; in this latter case, if BLDC motor is stalled for a time period higher than 3 seconds, then the power supply is interrupted in order to safeguard the motor/system integrity.
Development and Characterization of a Solarbased Energy Harvesting and Power Management System for a WSN Node Applied to Optimized Goods Transport and Storage
Authors: Visconti P. , Ferri R. , Pucciarelli M. , Venere E.
Published: February 2018

This paper describes a harvesting and power management system that can be equipped with a Wireless Sensor Network (WSN) node in order to harvest energy presents in the environment to be used for sensor node power supply. The proposed scope is to develop a harvesting board exploiting available integrated circuits and devices for extending battery life-cycle of sensor node developed by Medinok SPA. The aim is to realize a WSN able to perform a monitoring of principal physical parameters deemed of interest in a facility, as automatic as possible, for the storage and handling of goods, applied for example to a commercial seaport, where stored containers need to be continuously monitored. Battery life-time is a main problem especially in networks where sensor nodes are not easily accessible. For this reason, sensor nodes are commonly equipped with power management devices able to supply power in an intelligent way from the harvester when harvestable energy is available or from backup batteries ensuring, under every operating conditions, the correct functioning of the sensor node. In this work, a solar-based harvesting system, based on LTC3330 IC, was designed and tested on Medinote sensor node but usable for any device requiring to be fed.
Full Order Unknown Inputs Observer for Multiple Time-Delay Systems
Authors: Warrad Seifeddine Ben , Boubaker Olfa
Published: February 2018

In this paper, a design of a full-order observer for linear time-invariant (LTI) multivariable systems with multiple time-delays and unknown inputs (UI) is proposed. The main idea is to reduce the problem of the unknown input observer (UIO) for systems with multiple time-delays to that of a standard one. To that purpose, the orthogonal collocation method is used to transform the infinite dimensional model of the delayed system described by a set of linear partial differential equations (PDEs) to a finite dimensional one described by a set of linear ordinary differential equations (ODEs). Even using an approximation method, the asymptotic stability of the UIO is well proven. The efficiency of the proposed algorithm is shown using the quadruple-tank benchmark. The two cases of minimum and non-minimum phase models are considered.
False Data Filtering in Wireless Sensor Networks
Authors: LUO Ze , ZHU Lingzhi , CHANG Yunjie , LUO Qingyun , LI Guixiang , LIAO Weisheng
Published: February 2018

Wireless Sensor Networks (WSN) is often deployed in hostile environments, and the attacker can easily capture nodes to inject false data to the sensor network, which can cause serious results. This paper has studied various false data filtering techniques recently in wireless sensor network. Based on encryption technology, we have analyzed and compared the difference of various existing filtering strategies, then have pointed out the merits and demerits of them in detailed. At last, we give the developing trend of false data filtering, which provides a strong foundation for the further research.
Optimal Analog Wavelet Bases Construction Using Hybrid Optimization Algorithm
Authors: Li Hongmin , He Yigang , Sun Yichuang
Published: February 2018

An approach for the construction of optimal analog wavelet bases is presented. First, the definition of an analog wavelet is given. Based on the definition and the least-squares error criterion, a general framework for designing optimal analog wavelet bases is established, which is one of difficult nonlinear constrained optimization problems. Then, to solve this problem, a hybrid algorithm by combining chaotic map particle swarm optimization (CPSO) with local sequential quadratic programming (SQP) is proposed. CPSO is an improved PSO in which the saw tooth chaotic map is used to raise its global search ability. CPSO is a global optimizer to search the estimates of the global solution, while the SQP is employed for the local search and refining the estimates. Benefiting from good global search ability of CPSO and powerful local search ability of SQP, a high-precision global optimum in this problem can be gained. Finally, a series of optimal analog wavelet bases are constructed using the hybrid algorithm. The proposed method is tested for various wavelet bases and the improved performance is compared with previous works.
The Implementation of a Cloud System for Electronics Learning in a Moroccan Public University
Authors: Ghoulam Khalid , Bouikhalene Belaid , Harmouch Zakaria , Mouncif Hicham
Published: February 2018

Educational laboratories are places for realizing experimentations and they are important for modern engineering education. The problem is what if there are simply not enough devices or time for conducting experimentation in a local lab? Other factors that prevent the use of local lab devices directly by students are inaccessible or dangerous phenomena, or polluting chemical reactions. The new technologies bring additional strategies of learning and teaching, so it becomes a challenge to integrate the information and communication technologies ICT into the engineering sciences learning. Nowadays, there are two types of online labs, virtual and remote labs. Virtual labs that provide simulation environments for experimentations, remote labs are based on conducting the experimentation remotely through the Internet. In this paper, an example of a successful development and deployment of a cloud based remote lab in the field of engineering education, integrated in the Moodle platform, using very low-coast, high documented devices and free software. The remote lab is user friendly for both trainers and students.
Range Image Sensor Based Eye Gaze Estimation by Using the Relationship Between the Face and Eye Directions
Authors: Tamaki Haruya , Sakai Tsugunosuke , Ota Yosuke , Kusunoki Fusako , Inagaki Shigenori , Egusa Ryohei , Sugimoto Masanori , Mizoguchi Hiroshi
Published: February 2018

In this paper, we estimate the eye gaze by using the face direction to estimate the object of interest in an extensive area such as an educational display or museum exhibit. However, the direction of the gaze may differ from that of the face. Therefore, our approach was to use a method that utilizes both the face and eye directions to improve the accuracy of our estimation compared to only using the face direction. The first part of our study involved apprehending the relationship between the direction of the face and the eyes. The second part entailed estimating the eye gaze using this relationship. We then evaluated the effectiveness of this method in comparison to using the relationship with the face direction only.